From 981c312c013215c45937db0fb73a83549c74bf37 Mon Sep 17 00:00:00 2001 From: oksanabaza Date: Tue, 28 May 2024 11:11:07 +0100 Subject: [PATCH 001/254] prep --- src/codeflare_sdk/utils/generate_yaml.py | 46 ++++++++++++++++++++++-- 1 file changed, 44 insertions(+), 2 deletions(-) diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index 2ea6dd78..17c5af20 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -30,6 +30,7 @@ from os import urandom from base64 import b64encode from urllib3.util import parse_url +from kubernetes.client.rest import ApiException def read_template(template): @@ -307,6 +308,32 @@ def get_default_kueue_name(namespace: str): "Default Local Queue with kueue.x-k8s.io/default-queue: true annotation not found please create a default Local Queue or provide the local_queue name in Cluster Configuration" ) +# test function + +# def _throw_for_no_raycluster( user_yaml: dict, +# output_file_name: str, +# namespace: str, +# local_queue: Optional[str], +# labels: dict,): +# api_instance = client.CustomObjectsApi(api_config_handler()) +# print('hello') +# # try: +# # api_instance.list_namespaced_custom_object( +# # group="kueue.x-k8s.io", +# # version="v1", +# # namespace=namespace, +# # plural="localqueues", +# # ) +# # except ApiException as e: +# # if e.status == 404: +# # raise RuntimeError( +# # "RayCluster CustomResourceDefinition unavailable contact your administrator." +# # ) +# # else: +# # raise RuntimeError( +# # "Failed to get RayCluster CustomResourceDefinition: " + str(e) +# # ) + def local_queue_exists(namespace: str, local_queue_name: str): # get all local queues in the namespace @@ -341,6 +368,12 @@ def write_components( os.makedirs(directory_path) components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") + # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError + # _throw_for_no_raycluster() + # if local_queue is None: + # print( + # "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." + # ) open(output_file_name, "w").close() lq_name = local_queue or get_default_kueue_name(namespace) cluster_labels = labels @@ -367,22 +400,31 @@ def write_components( ) print(f"Written to: {output_file_name}") - def load_components( user_yaml: dict, name: str, namespace: str, local_queue: Optional[str], - labels: dict, + labels: dict ): component_list = [] components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") lq_name = local_queue or get_default_kueue_name(namespace) cluster_labels = labels +<<<<<<< HEAD if not local_queue_exists(namespace, lq_name): raise ValueError( "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" ) +======= + + # _throw_for_no_raycluster() + + # if local_queue is None: + # print( + # "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." + # ) +>>>>>>> 1d38c8d (prep) for component in components: if "generictemplate" in component: if ( From 5ad68e22234cd732a5598d24f2d21760067a22a2 Mon Sep 17 00:00:00 2001 From: oksanabaza Date: Tue, 28 May 2024 11:20:33 +0100 Subject: [PATCH 002/254] prep --- src/codeflare_sdk/utils/generate_yaml.py | 45 +++++------------------- 1 file changed, 8 insertions(+), 37 deletions(-) diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index 17c5af20..fd2410f7 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -308,32 +308,6 @@ def get_default_kueue_name(namespace: str): "Default Local Queue with kueue.x-k8s.io/default-queue: true annotation not found please create a default Local Queue or provide the local_queue name in Cluster Configuration" ) -# test function - -# def _throw_for_no_raycluster( user_yaml: dict, -# output_file_name: str, -# namespace: str, -# local_queue: Optional[str], -# labels: dict,): -# api_instance = client.CustomObjectsApi(api_config_handler()) -# print('hello') -# # try: -# # api_instance.list_namespaced_custom_object( -# # group="kueue.x-k8s.io", -# # version="v1", -# # namespace=namespace, -# # plural="localqueues", -# # ) -# # except ApiException as e: -# # if e.status == 404: -# # raise RuntimeError( -# # "RayCluster CustomResourceDefinition unavailable contact your administrator." -# # ) -# # else: -# # raise RuntimeError( -# # "Failed to get RayCluster CustomResourceDefinition: " + str(e) -# # ) - def local_queue_exists(namespace: str, local_queue_name: str): # get all local queues in the namespace @@ -370,10 +344,10 @@ def write_components( components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError # _throw_for_no_raycluster() - # if local_queue is None: - # print( - # "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." - # ) + if local_queue is None: + print( + "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." + ) open(output_file_name, "w").close() lq_name = local_queue or get_default_kueue_name(namespace) cluster_labels = labels @@ -411,20 +385,17 @@ def load_components( components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") lq_name = local_queue or get_default_kueue_name(namespace) cluster_labels = labels -<<<<<<< HEAD if not local_queue_exists(namespace, lq_name): raise ValueError( "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" ) -======= # _throw_for_no_raycluster() - # if local_queue is None: - # print( - # "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." - # ) ->>>>>>> 1d38c8d (prep) + if local_queue is None: + print( + "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." + ) for component in components: if "generictemplate" in component: if ( From add2d361f6e88d91852f28eeb96d823cddb1aa6e Mon Sep 17 00:00:00 2001 From: Fiona Waters Date: Tue, 28 May 2024 11:38:46 +0100 Subject: [PATCH 003/254] Revert "prep" This reverts commit 5ad68e22234cd732a5598d24f2d21760067a22a2. --- src/codeflare_sdk/utils/generate_yaml.py | 45 +++++++++++++++++++----- 1 file changed, 37 insertions(+), 8 deletions(-) diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index fd2410f7..17c5af20 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -308,6 +308,32 @@ def get_default_kueue_name(namespace: str): "Default Local Queue with kueue.x-k8s.io/default-queue: true annotation not found please create a default Local Queue or provide the local_queue name in Cluster Configuration" ) +# test function + +# def _throw_for_no_raycluster( user_yaml: dict, +# output_file_name: str, +# namespace: str, +# local_queue: Optional[str], +# labels: dict,): +# api_instance = client.CustomObjectsApi(api_config_handler()) +# print('hello') +# # try: +# # api_instance.list_namespaced_custom_object( +# # group="kueue.x-k8s.io", +# # version="v1", +# # namespace=namespace, +# # plural="localqueues", +# # ) +# # except ApiException as e: +# # if e.status == 404: +# # raise RuntimeError( +# # "RayCluster CustomResourceDefinition unavailable contact your administrator." +# # ) +# # else: +# # raise RuntimeError( +# # "Failed to get RayCluster CustomResourceDefinition: " + str(e) +# # ) + def local_queue_exists(namespace: str, local_queue_name: str): # get all local queues in the namespace @@ -344,10 +370,10 @@ def write_components( components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError # _throw_for_no_raycluster() - if local_queue is None: - print( - "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." - ) + # if local_queue is None: + # print( + # "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." + # ) open(output_file_name, "w").close() lq_name = local_queue or get_default_kueue_name(namespace) cluster_labels = labels @@ -385,17 +411,20 @@ def load_components( components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") lq_name = local_queue or get_default_kueue_name(namespace) cluster_labels = labels +<<<<<<< HEAD if not local_queue_exists(namespace, lq_name): raise ValueError( "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" ) +======= # _throw_for_no_raycluster() - if local_queue is None: - print( - "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." - ) + # if local_queue is None: + # print( + # "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." + # ) +>>>>>>> 1d38c8d (prep) for component in components: if "generictemplate" in component: if ( From 2a43d9e05f750fd7f5ef14ef2e032c75b51c569b Mon Sep 17 00:00:00 2001 From: Fiona Waters Date: Tue, 28 May 2024 11:40:05 +0100 Subject: [PATCH 004/254] Revert "prep" This reverts commit 981c312c013215c45937db0fb73a83549c74bf37. --- src/codeflare_sdk/utils/generate_yaml.py | 46 ++---------------------- 1 file changed, 2 insertions(+), 44 deletions(-) diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index 17c5af20..2ea6dd78 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -30,7 +30,6 @@ from os import urandom from base64 import b64encode from urllib3.util import parse_url -from kubernetes.client.rest import ApiException def read_template(template): @@ -308,32 +307,6 @@ def get_default_kueue_name(namespace: str): "Default Local Queue with kueue.x-k8s.io/default-queue: true annotation not found please create a default Local Queue or provide the local_queue name in Cluster Configuration" ) -# test function - -# def _throw_for_no_raycluster( user_yaml: dict, -# output_file_name: str, -# namespace: str, -# local_queue: Optional[str], -# labels: dict,): -# api_instance = client.CustomObjectsApi(api_config_handler()) -# print('hello') -# # try: -# # api_instance.list_namespaced_custom_object( -# # group="kueue.x-k8s.io", -# # version="v1", -# # namespace=namespace, -# # plural="localqueues", -# # ) -# # except ApiException as e: -# # if e.status == 404: -# # raise RuntimeError( -# # "RayCluster CustomResourceDefinition unavailable contact your administrator." -# # ) -# # else: -# # raise RuntimeError( -# # "Failed to get RayCluster CustomResourceDefinition: " + str(e) -# # ) - def local_queue_exists(namespace: str, local_queue_name: str): # get all local queues in the namespace @@ -368,12 +341,6 @@ def write_components( os.makedirs(directory_path) components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") - # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError - # _throw_for_no_raycluster() - # if local_queue is None: - # print( - # "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." - # ) open(output_file_name, "w").close() lq_name = local_queue or get_default_kueue_name(namespace) cluster_labels = labels @@ -400,31 +367,22 @@ def write_components( ) print(f"Written to: {output_file_name}") + def load_components( user_yaml: dict, name: str, namespace: str, local_queue: Optional[str], - labels: dict + labels: dict, ): component_list = [] components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") lq_name = local_queue or get_default_kueue_name(namespace) cluster_labels = labels -<<<<<<< HEAD if not local_queue_exists(namespace, lq_name): raise ValueError( "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" ) -======= - - # _throw_for_no_raycluster() - - # if local_queue is None: - # print( - # "Kueue is not installed or won't be used. The absence of CRDs may lack the necessary functionality." - # ) ->>>>>>> 1d38c8d (prep) for component in components: if "generictemplate" in component: if ( From 9da541d9a55b41dccaf0c1526d919425b3a04bdf Mon Sep 17 00:00:00 2001 From: oksanabaza Date: Thu, 2 May 2024 12:04:39 +0100 Subject: [PATCH 005/254] Add GPU to ClusterConfiguration --- demo-notebooks/additional-demos/hf_interactive.ipynb | 3 ++- demo-notebooks/additional-demos/local_interactive.ipynb | 3 ++- demo-notebooks/additional-demos/ray_job_client.ipynb | 3 ++- demo-notebooks/guided-demos/0_basic_ray.ipynb | 5 +++-- demo-notebooks/guided-demos/1_cluster_job_client.ipynb | 4 ++-- demo-notebooks/guided-demos/2_basic_interactive.ipynb | 3 ++- .../guided-demos/notebook-ex-outputs/0_basic_ray.ipynb | 3 ++- .../notebook-ex-outputs/1_cluster_job_client.ipynb | 4 ++-- .../notebook-ex-outputs/2_basic_interactive.ipynb | 3 ++- demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb | 3 ++- .../guided-demos/preview_nbs/1_cluster_job_client.ipynb | 4 ++-- .../guided-demos/preview_nbs/2_basic_interactive.ipynb | 3 ++- docs/cluster-configuration.md | 2 +- 13 files changed, 26 insertions(+), 17 deletions(-) diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb index 9181f3aa..9a362321 100644 --- a/demo-notebooks/additional-demos/hf_interactive.ipynb +++ b/demo-notebooks/additional-demos/hf_interactive.ipynb @@ -93,12 +93,13 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(name='hfgputest', \n", " namespace=\"default\", # Update to your namespace\n", + " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=1,\n", " num_workers=1,\n", " min_cpus=8, \n", " max_cpus=8, \n", " min_memory=16, \n", " max_memory=16, \n", - " num_gpus=4,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb index 36adfb50..94e657a7 100644 --- a/demo-notebooks/additional-demos/local_interactive.ipynb +++ b/demo-notebooks/additional-demos/local_interactive.ipynb @@ -55,12 +55,13 @@ "\n", "cluster = Cluster(ClusterConfiguration(namespace=namespace,\n", " name=cluster_name,\n", + " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=0,\n", " num_workers=1,\n", " min_cpus=1,\n", " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " num_gpus=0,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb index e3d90cd3..0182f1b3 100644 --- a/demo-notebooks/additional-demos/ray_job_client.ipynb +++ b/demo-notebooks/additional-demos/ray_job_client.ipynb @@ -46,12 +46,13 @@ "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", " namespace='default', # Update to your namespace\n", + " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=0,\n", " num_workers=2,\n", " min_cpus=1,\n", " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " num_gpus=0,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", "))" diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb index 6a3b3710..7dc9e8cd 100644 --- a/demo-notebooks/guided-demos/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb @@ -61,14 +61,15 @@ "# Create and configure our cluster object\n", "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", - " name='raytest',\n", + " name='raytest', \n", " namespace='default', # Update to your namespace\n", + " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=0,\n", " num_workers=2,\n", " min_cpus=1,\n", " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " num_gpus=0,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index 787bd315..608fbd2e 100644 --- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -45,13 +45,13 @@ "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", " namespace='default', # Update to your namespace\n", + " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=1,\n", " num_workers=2,\n", " min_cpus=1,\n", " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " num_gpus=1,\n", - " head_gpus=1,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb index 943425a8..6cee82e1 100644 --- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -62,12 +62,13 @@ "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", " namespace=namespace,\n", + " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=1,\n", " num_workers=2,\n", " min_cpus=2,\n", " max_cpus=2,\n", " min_memory=8,\n", " max_memory=8,\n", - " num_gpus=1,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb index 6771e9d7..569b4d34 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb @@ -71,12 +71,13 @@ "cluster = Cluster(ClusterConfiguration(\n", " name='raytest',\n", " namespace='default', # Update to your namespace\n", + " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=0,\n", " num_workers=2,\n", " min_cpus=1,\n", " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " num_gpus=0,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb index 787bd315..608fbd2e 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb @@ -45,13 +45,13 @@ "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", " namespace='default', # Update to your namespace\n", + " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=1,\n", " num_workers=2,\n", " min_cpus=1,\n", " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " num_gpus=1,\n", - " head_gpus=1,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb index 62d34f3f..ff88d621 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb @@ -70,12 +70,13 @@ "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", " namespace=namespace,\n", + " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=1,\n", " num_workers=2,\n", " min_cpus=2,\n", " max_cpus=2,\n", " min_memory=8,\n", " max_memory=8,\n", - " num_gpus=1,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb index 6a3b3710..77b0e278 100644 --- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb @@ -63,12 +63,13 @@ "cluster = Cluster(ClusterConfiguration(\n", " name='raytest',\n", " namespace='default', # Update to your namespace\n", + " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=0,\n", " num_workers=2,\n", " min_cpus=1,\n", " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " num_gpus=0,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb index db11cada..a041ab5b 100644 --- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb @@ -45,13 +45,13 @@ "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", " namespace='default', # Update to your namespace\n", + " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=1,\n", " num_workers=2,\n", " min_cpus=1,\n", " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " num_gpus=1,\n", - " head_gpus=1,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources\n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb index 28e05a26..44846f61 100644 --- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb @@ -62,12 +62,13 @@ "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", " namespace=namespace,\n", + " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", + " num_gpus=1,\n", " num_workers=2,\n", " min_cpus=2,\n", " max_cpus=2,\n", " min_memory=8,\n", " max_memory=8,\n", - " num_gpus=1,\n", " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/docs/cluster-configuration.md b/docs/cluster-configuration.md index b83600fe..c131b20c 100644 --- a/docs/cluster-configuration.md +++ b/docs/cluster-configuration.md @@ -12,12 +12,12 @@ cluster = Cluster(ClusterConfiguration( head_cpus=1, # Default 2 head_memory=1, # Default 8 head_gpus=0, # Default 0 + num_gpus=0, # Default 0 num_workers=1, # Default 1 min_cpus=1, # Default 1 max_cpus=1, # Default 1 min_memory=2, # Default 2 max_memory=2, # Default 2 - num_gpus=0, # Default 0 mcad=True, # Default True image="quay.io/project-codeflare/ray:latest-py39-cu118", # Mandatory Field machine_types=["m5.xlarge", "g4dn.xlarge"], From a057ac1b151a910f047785dee728e8cc4001be9c Mon Sep 17 00:00:00 2001 From: Srihari Venkataramaiah Date: Fri, 31 May 2024 18:08:38 +0530 Subject: [PATCH 006/254] Skip namespace deletion for upgrade testing (#550) --- tests/upgrade/raycluster_sdk_upgrade_test.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index c92d1963..8a17654a 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -80,9 +80,6 @@ def setup_method(self): if not self.cluster: raise RuntimeError("TestRayClusterUp needs to be run before this test") - def teardown_method(self): - delete_namespace(self) - def test_mnist_job_submission(self): auth = TokenAuthentication( token=run_oc_command(["whoami", "--show-token=true"]), From 56b4478fe49a043866edf56fcdb89598ea46412f Mon Sep 17 00:00:00 2001 From: Karel Suta Date: Thu, 30 May 2024 11:03:41 +0200 Subject: [PATCH 007/254] Fix incorrect comment to stop job in 1_cluster_job_client.ipynb --- demo-notebooks/guided-demos/1_cluster_job_client.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index 608fbd2e..9e626f55 100644 --- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -179,7 +179,7 @@ "outputs": [], "source": [ "# Delete a job\n", - "# Can run client.cancel_job(submission_id) first if job is still running\n", + "# Can run client.stop_job(submission_id) first if job is still running\n", "client.delete_job(submission_id)" ] }, From c0f7d7fa36e5c03724aa2bfa62be12289b1108f6 Mon Sep 17 00:00:00 2001 From: David Grove Date: Wed, 5 Jun 2024 05:38:17 -0400 Subject: [PATCH 008/254] Migrate from MCAD to AppWrapper v1beta2 (#521) * rename mcad to appwrapper * remove dispatch_priority (not supported by v1beta2 AppWrapper) * remove instascale * remove priority/affinity from template -- not compatible with Kueue * make mocked objects easier to maintain by removing unnecessary metadata * port appwrapper status to v1beta2 names * prune mocked appwrappers * eliminate dependency on workload.codeflare.dev/appwrapper label * Finish converting AppWrappers to v1beta2 * fix incomplete rebase * rebase: remove instascale from new testcase * add e2e test for appwrapper containing a raycluster * Also must add local_queue label to appwrappers * user labels should also be added to ray cluster wrapped in appwrapper * fix more incorrect test cases that were assuming that appwrappers don't get a localqueue * sdk_user must have rbacs to create appwrappers for e2e test to succeed * elide AppWrappers from top-level documentation --- .github/workflows/e2e_tests.yaml | 2 + docs/cluster-configuration.md | 10 +- src/codeflare_sdk/cluster/awload.py | 4 +- src/codeflare_sdk/cluster/cluster.py | 100 +- src/codeflare_sdk/cluster/config.py | 4 +- src/codeflare_sdk/cluster/model.py | 15 +- .../templates/base-template.yaml | 451 +++--- src/codeflare_sdk/utils/generate_yaml.py | 215 +-- .../e2e/mnist_raycluster_sdk_aw_kind_test.py | 106 ++ tests/e2e/start_ray_cluster.py | 3 +- tests/test-case-bad.yaml | 263 ++-- tests/test-case-no-mcad.yamls | 18 - tests/test-case-prio.yaml | 205 --- tests/test-case.yaml | 343 ++--- tests/test-default-appwrapper.yaml | 321 ++--- tests/unit_test.py | 1215 +++++------------ tests/unit_test_support.py | 3 +- 17 files changed, 1166 insertions(+), 2112 deletions(-) create mode 100644 tests/e2e/mnist_raycluster_sdk_aw_kind_test.py delete mode 100644 tests/test-case-prio.yaml diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml index c742e506..9ef73315 100644 --- a/.github/workflows/e2e_tests.yaml +++ b/.github/workflows/e2e_tests.yaml @@ -114,6 +114,8 @@ jobs: kubectl create clusterrolebinding sdk-user-namespace-creator --clusterrole=namespace-creator --user=sdk-user kubectl create clusterrole raycluster-creator --verb=get,list,create,delete,patch --resource=rayclusters kubectl create clusterrolebinding sdk-user-raycluster-creator --clusterrole=raycluster-creator --user=sdk-user + kubectl create clusterrole appwrapper-creator --verb=get,list,create,delete,patch --resource=appwrappers + kubectl create clusterrolebinding sdk-user-appwrapper-creator --clusterrole=appwrapper-creator --user=sdk-user kubectl create clusterrole resourceflavor-creator --verb=get,list,create,delete --resource=resourceflavors kubectl create clusterrolebinding sdk-user-resourceflavor-creator --clusterrole=resourceflavor-creator --user=sdk-user kubectl create clusterrole clusterqueue-creator --verb=get,list,create,delete,patch --resource=clusterqueues diff --git a/docs/cluster-configuration.md b/docs/cluster-configuration.md index c131b20c..ae6cd2ea 100644 --- a/docs/cluster-configuration.md +++ b/docs/cluster-configuration.md @@ -18,17 +18,13 @@ cluster = Cluster(ClusterConfiguration( max_cpus=1, # Default 1 min_memory=2, # Default 2 max_memory=2, # Default 2 - mcad=True, # Default True + num_gpus=0, # Default 0 image="quay.io/project-codeflare/ray:latest-py39-cu118", # Mandatory Field machine_types=["m5.xlarge", "g4dn.xlarge"], labels={"exampleLabel": "example", "secondLabel": "example"}, )) ``` -Upon creating a cluster configuration with `mcad=True` an appwrapper will be created featuring the Ray Cluster and any Routes, Ingresses or Secrets that are needed to be created along side it.
-From there a user can call `cluster.up()` and `cluster.down()` to create and remove the appwrapper thus creating and removing the Ray Cluster. - -In cases where `mcad=False` a yaml file will be created with the individual Ray Cluster, Route/Ingress and Secret included.
-The Ray Cluster and service will be created by KubeRay directly and the other components will be individually created. - The `labels={"exampleLabel": "example"}` parameter can be used to apply additional labels to the RayCluster resource. + +After creating their`cluster`, a user can call `cluster.up()` and `cluster.down()` to respectively create or remove the Ray Cluster. diff --git a/src/codeflare_sdk/cluster/awload.py b/src/codeflare_sdk/cluster/awload.py index 97d138d5..c622f877 100644 --- a/src/codeflare_sdk/cluster/awload.py +++ b/src/codeflare_sdk/cluster/awload.py @@ -62,7 +62,7 @@ def submit(self) -> None: api_instance = client.CustomObjectsApi(api_config_handler()) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=self.namespace, plural="appwrappers", body=self.awyaml, @@ -87,7 +87,7 @@ def remove(self) -> None: api_instance = client.CustomObjectsApi(api_config_handler()) api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=self.namespace, plural="appwrappers", name=self.name, diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index 6ddd778c..35c26b0a 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -103,26 +103,6 @@ def job_client(self): ) return self._job_submission_client - def evaluate_dispatch_priority(self): - priority_class = self.config.dispatch_priority - - try: - config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) - priority_classes = api_instance.list_cluster_custom_object( - group="scheduling.k8s.io", - version="v1", - plural="priorityclasses", - ) - except Exception as e: # pragma: no cover - return _kube_api_error_handling(e) - - for pc in priority_classes["items"]: - if pc["metadata"]["name"] == priority_class: - return pc["value"] - print(f"Priority class {priority_class} is not available in the cluster") - return None - def validate_image_config(self): """ Validates that the image configuration is not empty. @@ -152,18 +132,6 @@ def create_app_wrapper(self): self.validate_image_config() # Before attempting to create the cluster AW, let's evaluate the ClusterConfig - if self.config.dispatch_priority: - if not self.config.mcad: - raise ValueError( - "Invalid Cluster Configuration, cannot have dispatch priority without MCAD" - ) - priority_val = self.evaluate_dispatch_priority() - if priority_val == None: - raise ValueError( - "Invalid Cluster Configuration, AppWrapper not generated" - ) - else: - priority_val = None name = self.config.name namespace = self.config.namespace @@ -178,12 +146,10 @@ def create_app_wrapper(self): workers = self.config.num_workers template = self.config.template image = self.config.image - instascale = self.config.instascale - mcad = self.config.mcad + appwrapper = self.config.appwrapper instance_types = self.config.machine_types env = self.config.envs image_pull_secrets = self.config.image_pull_secrets - dispatch_priority = self.config.dispatch_priority write_to_file = self.config.write_to_file verify_tls = self.config.verify_tls local_queue = self.config.local_queue @@ -202,13 +168,10 @@ def create_app_wrapper(self): workers=workers, template=template, image=image, - instascale=instascale, - mcad=mcad, + appwrapper=appwrapper, instance_types=instance_types, env=env, image_pull_secrets=image_pull_secrets, - dispatch_priority=dispatch_priority, - priority_val=priority_val, write_to_file=write_to_file, verify_tls=verify_tls, local_queue=local_queue, @@ -230,13 +193,13 @@ def up(self): try: config_check() api_instance = client.CustomObjectsApi(api_config_handler()) - if self.config.mcad: + if self.config.appwrapper: if self.config.write_to_file: with open(self.app_wrapper_yaml) as f: aw = yaml.load(f, Loader=yaml.FullLoader) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", body=aw, @@ -245,7 +208,7 @@ def up(self): aw = yaml.safe_load(self.app_wrapper_yaml) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", body=aw, @@ -284,10 +247,10 @@ def down(self): try: config_check() api_instance = client.CustomObjectsApi(api_config_handler()) - if self.config.mcad: + if self.config.appwrapper: api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", name=self.app_wrapper_name, @@ -306,30 +269,28 @@ def status( """ ready = False status = CodeFlareClusterStatus.UNKNOWN - if self.config.mcad: + if self.config.appwrapper: # check the app wrapper status appwrapper = _app_wrapper_status(self.config.name, self.config.namespace) if appwrapper: if appwrapper.status in [ - AppWrapperStatus.RUNNING, - AppWrapperStatus.COMPLETED, - AppWrapperStatus.RUNNING_HOLD_COMPLETION, + AppWrapperStatus.RESUMING, + AppWrapperStatus.RESETTING, ]: ready = False status = CodeFlareClusterStatus.STARTING elif appwrapper.status in [ AppWrapperStatus.FAILED, - AppWrapperStatus.DELETED, ]: ready = False status = CodeFlareClusterStatus.FAILED # should deleted be separate return status, ready # exit early, no need to check ray status elif appwrapper.status in [ - AppWrapperStatus.PENDING, - AppWrapperStatus.QUEUEING, + AppWrapperStatus.SUSPENDED, + AppWrapperStatus.SUSPENDING, ]: ready = False - if appwrapper.status == AppWrapperStatus.PENDING: + if appwrapper.status == AppWrapperStatus.SUSPENDED: status = CodeFlareClusterStatus.QUEUED else: status = CodeFlareClusterStatus.QUEUEING @@ -501,7 +462,7 @@ def job_logs(self, job_id: str) -> str: def from_k8_cluster_object( rc, - mcad=True, + appwrapper=True, write_to_file=False, verify_tls=True, ): @@ -534,11 +495,10 @@ def from_k8_cluster_object( "resources" ]["limits"]["nvidia.com/gpu"] ), - instascale=True if machine_types else False, image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ 0 ]["image"], - mcad=mcad, + appwrapper=appwrapper, write_to_file=write_to_file, verify_tls=verify_tls, local_queue=rc["metadata"] @@ -597,15 +557,15 @@ def list_all_clusters(namespace: str, print_to_console: bool = True): return clusters -def list_all_queued(namespace: str, print_to_console: bool = True, mcad: bool = False): +def list_all_queued( + namespace: str, print_to_console: bool = True, appwrapper: bool = False +): """ Returns (and prints by default) a list of all currently queued-up Ray Clusters in a given namespace. """ - if mcad: - resources = _get_app_wrappers( - namespace, filter=[AppWrapperStatus.RUNNING, AppWrapperStatus.PENDING] - ) + if appwrapper: + resources = _get_app_wrappers(namespace, filter=[AppWrapperStatus.SUSPENDED]) if print_to_console: pretty_print.print_app_wrappers_status(resources) else: @@ -675,10 +635,10 @@ def get_cluster( for rc in rcs["items"]: if rc["metadata"]["name"] == cluster_name: - mcad = _check_aw_exists(cluster_name, namespace) + appwrapper = _check_aw_exists(cluster_name, namespace) return Cluster.from_k8_cluster_object( rc, - mcad=mcad, + appwrapper=appwrapper, write_to_file=write_to_file, verify_tls=verify_tls, ) @@ -721,7 +681,7 @@ def _check_aw_exists(name: str, namespace: str) -> bool: api_instance = client.CustomObjectsApi(api_config_handler()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", ) @@ -781,7 +741,7 @@ def _app_wrapper_status(name, namespace="default") -> Optional[AppWrapper]: api_instance = client.CustomObjectsApi(api_config_handler()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", ) @@ -851,7 +811,7 @@ def _get_app_wrappers( api_instance = client.CustomObjectsApi(api_config_handler()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", ) @@ -945,18 +905,14 @@ def _map_to_ray_cluster(rc) -> Optional[RayCluster]: def _map_to_app_wrapper(aw) -> AppWrapper: - if "status" in aw and "canrun" in aw["status"]: + if "status" in aw: return AppWrapper( name=aw["metadata"]["name"], - status=AppWrapperStatus(aw["status"]["state"].lower()), - can_run=aw["status"]["canrun"], - job_state=aw["status"]["queuejobstate"], + status=AppWrapperStatus(aw["status"]["phase"].lower()), ) return AppWrapper( name=aw["metadata"]["name"], - status=AppWrapperStatus("queueing"), - can_run=False, - job_state="Still adding to queue", + status=AppWrapperStatus("suspended"), ) diff --git a/src/codeflare_sdk/cluster/config.py b/src/codeflare_sdk/cluster/config.py index f8010ea9..9e069c37 100644 --- a/src/codeflare_sdk/cluster/config.py +++ b/src/codeflare_sdk/cluster/config.py @@ -46,12 +46,10 @@ class ClusterConfiguration: max_memory: typing.Union[int, str] = 2 num_gpus: int = 0 template: str = f"{dir}/templates/base-template.yaml" - instascale: bool = False - mcad: bool = False + appwrapper: bool = False envs: dict = field(default_factory=dict) image: str = "" image_pull_secrets: list = field(default_factory=list) - dispatch_priority: str = None write_to_file: bool = False verify_tls: bool = True labels: dict = field(default_factory=dict) diff --git a/src/codeflare_sdk/cluster/model.py b/src/codeflare_sdk/cluster/model.py index e2dcb652..2547de25 100644 --- a/src/codeflare_sdk/cluster/model.py +++ b/src/codeflare_sdk/cluster/model.py @@ -37,16 +37,17 @@ class RayClusterStatus(Enum): class AppWrapperStatus(Enum): """ - Defines the possible reportable states of an AppWrapper. + Defines the possible reportable phases of an AppWrapper. """ - QUEUEING = "queueing" - PENDING = "pending" + SUSPENDED = "suspended" + RESUMING = "resuming" RUNNING = "running" + RESETTING = "resetting" + SUSPENDING = "suspending" + SUCCEEDED = "succeeded" FAILED = "failed" - DELETED = "deleted" - COMPLETED = "completed" - RUNNING_HOLD_COMPLETION = "runningholdcompletion" + TERMINATING = "terminating" class CodeFlareClusterStatus(Enum): @@ -91,5 +92,3 @@ class AppWrapper: name: str status: AppWrapperStatus - can_run: bool - job_state: str diff --git a/src/codeflare_sdk/templates/base-template.yaml b/src/codeflare_sdk/templates/base-template.yaml index 356e3494..b6a70b2b 100644 --- a/src/codeflare_sdk/templates/base-template.yaml +++ b/src/codeflare_sdk/templates/base-template.yaml @@ -1,254 +1,207 @@ -apiVersion: workload.codeflare.dev/v1beta1 +apiVersion: workload.codeflare.dev/v1beta2 kind: AppWrapper metadata: name: aw-kuberay namespace: default - #new addition - labels: - orderedinstance: "m4.xlarge_g4dn.xlarge" spec: - priority: 9 - resources: - Items: [] - GenericItems: - - replicas: 1 - #new addition - custompodresources: - - replicas: 1 - requests: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - limits: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - - replicas: 3 - requests: - cpu: 2 - memory: 12G - nvidia.com/gpu: 1 - limits: - cpu: 2 - memory: 12G - nvidia.com/gpu: 1 - generictemplate: - # This config demonstrates KubeRay's Ray autoscaler integration. - # The resource requests and limits in this config are too small for production! - # For an example with more realistic resource configuration, see - # ray-cluster.autoscaler.large.yaml. - apiVersion: ray.io/v1 - kind: RayCluster - metadata: - labels: - workload.codeflare.dev/appwrapper: "aw-kuberay" - controller-tools.k8s.io: "1.0" - # A unique identifier for the head node and workers of this cluster. - name: kuberay-cluster - # finalizers: - # - kubernetes - spec: - # The version of Ray you are using. Make sure all Ray containers are running this version of Ray. - rayVersion: '2.7.0' - # If enableInTreeAutoscaling is true, the autoscaler sidecar will be added to the Ray head pod. - # Ray autoscaler integration is supported only for Ray versions >= 1.11.0 - # Ray autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0. - enableInTreeAutoscaling: false - # autoscalerOptions is an OPTIONAL field specifying configuration overrides for the Ray autoscaler. - # The example configuration shown below below represents the DEFAULT values. - # (You may delete autoscalerOptions if the defaults are suitable.) - autoscalerOptions: - # upscalingMode is "Default" or "Aggressive." - # Conservative: Upscaling is rate-limited; the number of pending worker pods is at most the size of the Ray cluster. - # Default: Upscaling is not rate-limited. - # Aggressive: An alias for Default; upscaling is not rate-limited. - upscalingMode: Default - # idleTimeoutSeconds is the number of seconds to wait before scaling down a worker pod which is not using Ray resources. - idleTimeoutSeconds: 60 - # image optionally overrides the autoscaler's container image. - # If instance.spec.rayVersion is at least "2.0.0", the autoscaler will default to the same image as - # the ray container. For older Ray versions, the autoscaler will default to using the Ray 2.0.0 image. - ## image: "my-repo/my-custom-autoscaler-image:tag" - # imagePullPolicy optionally overrides the autoscaler container's image pull policy. - imagePullPolicy: Always - # resources specifies optional resource request and limit overrides for the autoscaler container. - # For large Ray clusters, we recommend monitoring container resource usage to determine if overriding the defaults is required. - resources: - limits: - cpu: "500m" - memory: "512Mi" - requests: - cpu: "500m" - memory: "512Mi" - ######################headGroupSpec################################# - # head group template and specs, (perhaps 'group' is not needed in the name) - headGroupSpec: - # Kubernetes Service Type, valid values are 'ClusterIP', 'NodePort' and 'LoadBalancer' - serviceType: ClusterIP - enableIngress: false - # logical group name, for this called head-group, also can be functional - # pod type head or worker - # rayNodeType: head # Not needed since it is under the headgroup - # the following params are used to complete the ray start: ray start --head --block ... - rayStartParams: - # Flag "no-monitor" will be automatically set when autoscaling is enabled. - dashboard-host: '0.0.0.0' - block: 'true' - # num-cpus: '1' # can be auto-completed from the limits - # Use `resources` to optionally specify custom resource annotations for the Ray node. - # The value of `resources` is a string-integer mapping. - # Currently, `resources` must be provided in the specific format demonstrated below: - # resources: '"{\"Custom1\": 1, \"Custom2\": 5}"' - num-gpus: '0' - #pod template - template: - spec: - #new addition - affinity: - nodeAffinity: - requiredDuringSchedulingIgnoredDuringExecution: - nodeSelectorTerms: - - matchExpressions: - - key: aw-kuberay - operator: In - values: - - "aw-kuberay" - containers: - # The Ray head pod - - name: ray-head - image: quay.io/project-codeflare/ray:latest-py39-cu118 - imagePullPolicy: Always - ports: - - containerPort: 6379 - name: gcs - - containerPort: 8265 - name: dashboard - - containerPort: 10001 - name: client - lifecycle: - preStop: - exec: - command: ["/bin/sh","-c","ray stop"] - resources: - limits: - cpu: 2 - memory: "8G" - nvidia.com/gpu: 0 - requests: - cpu: 2 - memory: "8G" - nvidia.com/gpu: 0 - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - volumes: - - name: odh-trusted-ca-cert - configMap: - name: odh-trusted-ca-bundle - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - optional: true - - name: odh-ca-cert - configMap: - name: odh-trusted-ca-bundle - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - optional: true - workerGroupSpecs: - # the pod replicas in this group typed worker - - replicas: 3 - minReplicas: 3 - maxReplicas: 3 - # logical group name, for this called small-group, also can be functional - groupName: small-group - # if worker pods need to be added, we can simply increment the replicas - # if worker pods need to be removed, we decrement the replicas, and populate the podsToDelete list - # the operator will remove pods from the list until the number of replicas is satisfied - # when a pod is confirmed to be deleted, its name will be removed from the list below - #scaleStrategy: - # workersToDelete: - # - raycluster-complete-worker-small-group-bdtwh - # - raycluster-complete-worker-small-group-hv457 - # - raycluster-complete-worker-small-group-k8tj7 - # the following params are used to complete the ray start: ray start --block ... - rayStartParams: - block: 'true' - num-gpus: 1 - #pod template - template: - metadata: - labels: - key: value - # annotations for pod - annotations: - key: value - # finalizers: - # - kubernetes - spec: - affinity: - nodeAffinity: - requiredDuringSchedulingIgnoredDuringExecution: - nodeSelectorTerms: - - matchExpressions: - - key: aw-kuberay - operator: In - values: - - "aw-kuberay" - containers: - - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name', or '123-abc' - image: quay.io/project-codeflare/ray:latest-py39-cu118 - # environment variables to set in the container.Optional. - # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/ - lifecycle: - preStop: - exec: - command: ["/bin/sh","-c","ray stop"] - resources: - limits: - cpu: "2" - memory: "12G" - nvidia.com/gpu: "1" - requests: - cpu: "2" - memory: "12G" - nvidia.com/gpu: "1" - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - volumes: - - name: odh-trusted-ca-cert - configMap: - name: odh-trusted-ca-bundle - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - optional: true - - name: odh-ca-cert - configMap: - name: odh-trusted-ca-bundle - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - optional: true + components: + - template: + # This config demonstrates KubeRay's Ray autoscaler integration. + # The resource requests and limits in this config are too small for production! + # For an example with more realistic resource configuration, see + # ray-cluster.autoscaler.large.yaml. + apiVersion: ray.io/v1 + kind: RayCluster + metadata: + labels: + controller-tools.k8s.io: "1.0" + # A unique identifier for the head node and workers of this cluster. + name: kuberay-cluster + # finalizers: + # - kubernetes + spec: + # The version of Ray you are using. Make sure all Ray containers are running this version of Ray. + rayVersion: '2.7.0' + # If enableInTreeAutoscaling is true, the autoscaler sidecar will be added to the Ray head pod. + # Ray autoscaler integration is supported only for Ray versions >= 1.11.0 + # Ray autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0. + enableInTreeAutoscaling: false + # autoscalerOptions is an OPTIONAL field specifying configuration overrides for the Ray autoscaler. + # The example configuration shown below below represents the DEFAULT values. + # (You may delete autoscalerOptions if the defaults are suitable.) + autoscalerOptions: + # upscalingMode is "Default" or "Aggressive." + # Conservative: Upscaling is rate-limited; the number of pending worker pods is at most the size of the Ray cluster. + # Default: Upscaling is not rate-limited. + # Aggressive: An alias for Default; upscaling is not rate-limited. + upscalingMode: Default + # idleTimeoutSeconds is the number of seconds to wait before scaling down a worker pod which is not using Ray resources. + idleTimeoutSeconds: 60 + # image optionally overrides the autoscaler's container image. + # If instance.spec.rayVersion is at least "2.0.0", the autoscaler will default to the same image as + # the ray container. For older Ray versions, the autoscaler will default to using the Ray 2.0.0 image. + ## image: "my-repo/my-custom-autoscaler-image:tag" + # imagePullPolicy optionally overrides the autoscaler container's image pull policy. + imagePullPolicy: Always + # resources specifies optional resource request and limit overrides for the autoscaler container. + # For large Ray clusters, we recommend monitoring container resource usage to determine if overriding the defaults is required. + resources: + limits: + cpu: "500m" + memory: "512Mi" + requests: + cpu: "500m" + memory: "512Mi" + ######################headGroupSpec################################# + # head group template and specs, (perhaps 'group' is not needed in the name) + headGroupSpec: + # Kubernetes Service Type, valid values are 'ClusterIP', 'NodePort' and 'LoadBalancer' + serviceType: ClusterIP + enableIngress: false + # logical group name, for this called head-group, also can be functional + # pod type head or worker + # rayNodeType: head # Not needed since it is under the headgroup + # the following params are used to complete the ray start: ray start --head --block ... + rayStartParams: + # Flag "no-monitor" will be automatically set when autoscaling is enabled. + dashboard-host: '0.0.0.0' + block: 'true' + # num-cpus: '1' # can be auto-completed from the limits + # Use `resources` to optionally specify custom resource annotations for the Ray node. + # The value of `resources` is a string-integer mapping. + # Currently, `resources` must be provided in the specific format demonstrated below: + # resources: '"{\"Custom1\": 1, \"Custom2\": 5}"' + num-gpus: '0' + #pod template + template: + spec: + containers: + # The Ray head pod + - name: ray-head + image: quay.io/project-codeflare/ray:latest-py39-cu118 + imagePullPolicy: Always + ports: + - containerPort: 6379 + name: gcs + - containerPort: 8265 + name: dashboard + - containerPort: 10001 + name: client + lifecycle: + preStop: + exec: + command: ["/bin/sh","-c","ray stop"] + resources: + limits: + cpu: 2 + memory: "8G" + nvidia.com/gpu: 0 + requests: + cpu: 2 + memory: "8G" + nvidia.com/gpu: 0 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + volumes: + - name: odh-trusted-ca-cert + configMap: + name: odh-trusted-ca-bundle + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + optional: true + - name: odh-ca-cert + configMap: + name: odh-trusted-ca-bundle + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + optional: true + workerGroupSpecs: + # the pod replicas in this group typed worker + - replicas: 3 + minReplicas: 3 + maxReplicas: 3 + # logical group name, for this called small-group, also can be functional + groupName: small-group + # if worker pods need to be added, we can simply increment the replicas + # if worker pods need to be removed, we decrement the replicas, and populate the podsToDelete list + # the operator will remove pods from the list until the number of replicas is satisfied + # when a pod is confirmed to be deleted, its name will be removed from the list below + #scaleStrategy: + # workersToDelete: + # - raycluster-complete-worker-small-group-bdtwh + # - raycluster-complete-worker-small-group-hv457 + # - raycluster-complete-worker-small-group-k8tj7 + # the following params are used to complete the ray start: ray start --block ... + rayStartParams: + block: 'true' + num-gpus: 1 + #pod template + template: + metadata: + labels: + key: value + # annotations for pod + annotations: + key: value + # finalizers: + # - kubernetes + spec: + containers: + - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name', or '123-abc' + image: quay.io/project-codeflare/ray:latest-py39-cu118 + # environment variables to set in the container.Optional. + # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/ + lifecycle: + preStop: + exec: + command: ["/bin/sh","-c","ray stop"] + resources: + limits: + cpu: "2" + memory: "12G" + nvidia.com/gpu: "1" + requests: + cpu: "2" + memory: "12G" + nvidia.com/gpu: "1" + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + volumes: + - name: odh-trusted-ca-cert + configMap: + name: odh-trusted-ca-bundle + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + optional: true + - name: odh-ca-cert + configMap: + name: odh-trusted-ca-bundle + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + optional: true diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index 2ea6dd78..dcd4a42c 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -81,109 +81,11 @@ def update_names(yaml, item, appwrapper_name, cluster_name, namespace): metadata = yaml.get("metadata") metadata["name"] = appwrapper_name metadata["namespace"] = namespace - lower_meta = item.get("generictemplate", {}).get("metadata") - lower_meta["labels"]["workload.codeflare.dev/appwrapper"] = appwrapper_name + lower_meta = item.get("template", {}).get("metadata") lower_meta["name"] = cluster_name lower_meta["namespace"] = namespace -def update_labels(yaml, instascale, instance_types): - metadata = yaml.get("metadata") - if instascale: - if not len(instance_types) > 0: - sys.exit( - "If instascale is set to true, must provide at least one instance type" - ) - type_str = "" - for type in instance_types: - type_str += type + "_" - type_str = type_str[:-1] - metadata["labels"]["orderedinstance"] = type_str - else: - metadata.pop("labels") - - -def update_priority(yaml, item, dispatch_priority, priority_val): - spec = yaml.get("spec") - if dispatch_priority is not None: - if priority_val: - spec["priority"] = priority_val - else: - raise ValueError( - "AW generation error: Priority value is None, while dispatch_priority is defined" - ) - head = item.get("generictemplate").get("spec").get("headGroupSpec") - worker = item.get("generictemplate").get("spec").get("workerGroupSpecs")[0] - head["template"]["spec"]["priorityClassName"] = dispatch_priority - worker["template"]["spec"]["priorityClassName"] = dispatch_priority - else: - spec.pop("priority") - - -def update_custompodresources( - item, - min_cpu, - max_cpu, - min_memory, - max_memory, - gpu, - workers, - head_cpus, - head_memory, - head_gpus, -): - if "custompodresources" in item.keys(): - custompodresources = item.get("custompodresources") - for i in range(len(custompodresources)): - resource = custompodresources[i] - if i == 0: - # Leave head node resources as template default - resource["requests"]["cpu"] = head_cpus - resource["limits"]["cpu"] = head_cpus - resource["requests"]["memory"] = head_memory - resource["limits"]["memory"] = head_memory - resource["requests"]["nvidia.com/gpu"] = head_gpus - resource["limits"]["nvidia.com/gpu"] = head_gpus - - else: - for k, v in resource.items(): - if k == "replicas" and i == 1: - resource[k] = workers - if k == "requests" or k == "limits": - for spec, _ in v.items(): - if spec == "cpu": - if k == "limits": - resource[k][spec] = max_cpu - else: - resource[k][spec] = min_cpu - if spec == "memory": - if k == "limits": - resource[k][spec] = max_memory - else: - resource[k][spec] = min_memory - if spec == "nvidia.com/gpu": - if i == 0: - resource[k][spec] = 0 - else: - resource[k][spec] = gpu - else: - sys.exit("Error: malformed template") - - -def update_affinity(spec, appwrapper_name, instascale): - if instascale: - node_selector_terms = ( - spec.get("affinity") - .get("nodeAffinity") - .get("requiredDuringSchedulingIgnoredDuringExecution") - .get("nodeSelectorTerms") - ) - node_selector_terms[0]["matchExpressions"][0]["values"][0] = appwrapper_name - node_selector_terms[0]["matchExpressions"][0]["key"] = appwrapper_name - else: - spec.pop("affinity") - - def update_image(spec, image): containers = spec.get("containers") for container in containers: @@ -232,18 +134,17 @@ def update_nodes( gpu, workers, image, - instascale, env, image_pull_secrets, head_cpus, head_memory, head_gpus, ): - if "generictemplate" in item.keys(): - head = item.get("generictemplate").get("spec").get("headGroupSpec") + if "template" in item.keys(): + head = item.get("template").get("spec").get("headGroupSpec") head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) - worker = item.get("generictemplate").get("spec").get("workerGroupSpecs")[0] + worker = item.get("template").get("spec").get("workerGroupSpecs")[0] # Head counts as first worker worker["replicas"] = workers worker["minReplicas"] = workers @@ -253,7 +154,6 @@ def update_nodes( for comp in [head, worker]: spec = comp.get("template").get("spec") - update_affinity(spec, appwrapper_name, instascale) update_image_pull_secrets(spec, image_pull_secrets) update_image(spec, image) update_env(spec, env) @@ -328,74 +228,52 @@ def local_queue_exists(namespace: str, local_queue_name: str): return False +def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]): + lq_name = local_queue or get_default_kueue_name(namespace) + if not local_queue_exists(namespace, lq_name): + raise ValueError( + "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" + ) + if not "labels" in item["metadata"]: + item["metadata"]["labels"] = {} + item["metadata"]["labels"].update({"kueue.x-k8s.io/queue-name": lq_name}) + + +def augment_labels(item: dict, labels: dict): + if "template" in item: + if not "labels" in item["template"]["metadata"]: + item["template"]["metadata"]["labels"] = {} + item["template"]["metadata"]["labels"].update(labels) + + def write_components( user_yaml: dict, output_file_name: str, - namespace: str, - local_queue: Optional[str], - labels: dict, ): # Create the directory if it doesn't exist directory_path = os.path.dirname(output_file_name) if not os.path.exists(directory_path): os.makedirs(directory_path) - components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") + components = user_yaml.get("spec", "resources").get("components") open(output_file_name, "w").close() - lq_name = local_queue or get_default_kueue_name(namespace) - cluster_labels = labels - if not local_queue_exists(namespace, lq_name): - raise ValueError( - "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" - ) with open(output_file_name, "a") as outfile: for component in components: - if "generictemplate" in component: - if ( - "workload.codeflare.dev/appwrapper" - in component["generictemplate"]["metadata"]["labels"] - ): - del component["generictemplate"]["metadata"]["labels"][ - "workload.codeflare.dev/appwrapper" - ] - labels = component["generictemplate"]["metadata"]["labels"] - labels.update({"kueue.x-k8s.io/queue-name": lq_name}) - labels.update(cluster_labels) + if "template" in component: outfile.write("---\n") - yaml.dump( - component["generictemplate"], outfile, default_flow_style=False - ) + yaml.dump(component["template"], outfile, default_flow_style=False) print(f"Written to: {output_file_name}") def load_components( user_yaml: dict, name: str, - namespace: str, - local_queue: Optional[str], - labels: dict, ): component_list = [] - components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") - lq_name = local_queue or get_default_kueue_name(namespace) - cluster_labels = labels - if not local_queue_exists(namespace, lq_name): - raise ValueError( - "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" - ) + components = user_yaml.get("spec", "resources").get("components") for component in components: - if "generictemplate" in component: - if ( - "workload.codeflare.dev/appwrapper" - in component["generictemplate"]["metadata"]["labels"] - ): - del component["generictemplate"]["metadata"]["labels"][ - "workload.codeflare.dev/appwrapper" - ] - labels = component["generictemplate"]["metadata"]["labels"] - labels.update({"kueue.x-k8s.io/queue-name": lq_name}) - labels.update(cluster_labels) - component_list.append(component["generictemplate"]) + if "template" in component: + component_list.append(component["template"]) resources = "---\n" + "---\n".join( [yaml.dump(component) for component in component_list] @@ -425,13 +303,10 @@ def generate_appwrapper( workers: int, template: str, image: str, - instascale: bool, - mcad: bool, + appwrapper: bool, instance_types: list, env, image_pull_secrets: list, - dispatch_priority: str, - priority_val: int, write_to_file: bool, verify_tls: bool, local_queue: Optional[str], @@ -440,7 +315,7 @@ def generate_appwrapper( user_yaml = read_template(template) appwrapper_name, cluster_name = gen_names(name) resources = user_yaml.get("spec", "resources") - item = resources["resources"].get("GenericItems")[0] + item = resources.get("components")[0] update_names( user_yaml, item, @@ -448,20 +323,6 @@ def generate_appwrapper( cluster_name, namespace, ) - update_labels(user_yaml, instascale, instance_types) - update_priority(user_yaml, item, dispatch_priority, priority_val) - update_custompodresources( - item, - min_cpu, - max_cpu, - min_memory, - max_memory, - gpu, - workers, - head_cpus, - head_memory, - head_gpus, - ) update_nodes( item, appwrapper_name, @@ -472,7 +333,6 @@ def generate_appwrapper( gpu, workers, image, - instascale, env, image_pull_secrets, head_cpus, @@ -480,18 +340,25 @@ def generate_appwrapper( head_gpus, ) + augment_labels(item, labels) + + if appwrapper: + add_queue_label(user_yaml, namespace, local_queue) + else: + add_queue_label(item["template"], namespace, local_queue) + directory_path = os.path.expanduser("~/.codeflare/resources/") outfile = os.path.join(directory_path, appwrapper_name + ".yaml") if write_to_file: - if mcad: + if appwrapper: write_user_appwrapper(user_yaml, outfile) else: - write_components(user_yaml, outfile, namespace, local_queue, labels) + write_components(user_yaml, outfile) return outfile else: - if mcad: + if appwrapper: user_yaml = load_appwrapper(user_yaml, name) else: - user_yaml = load_components(user_yaml, name, namespace, local_queue, labels) + user_yaml = load_components(user_yaml, name) return user_yaml diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py new file mode 100644 index 00000000..2aa5da16 --- /dev/null +++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py @@ -0,0 +1,106 @@ +import requests + +from time import sleep + +from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication +from codeflare_sdk.job import RayJobClient + +import pytest + +from support import * + +# This test creates an AppWrapper containing a Ray Cluster and covers the Ray Job submission functionality on Kind Cluster + + +@pytest.mark.kind +class TestRayClusterSDKAppWrapperKind: + def setup_method(self): + initialize_kubernetes_client(self) + + def teardown_method(self): + delete_namespace(self) + + def test_mnist_ray_cluster_sdk_kind(self): + self.setup_method() + create_namespace(self) + create_kueue_resources(self) + self.run_mnist_raycluster_sdk_kind() + + def run_mnist_raycluster_sdk_kind(self): + ray_image = get_ray_image() + + cluster = Cluster( + ClusterConfiguration( + name="mnist", + namespace=self.namespace, + num_workers=1, + head_cpus="500m", + head_memory=2, + min_cpus="500m", + max_cpus=1, + min_memory=1, + max_memory=2, + num_gpus=0, + image=ray_image, + write_to_file=True, + verify_tls=False, + appwrapper=True, + ) + ) + + cluster.up() + + cluster.status() + + cluster.wait_ready() + + cluster.status() + + cluster.details() + + self.assert_jobsubmit_withoutlogin_kind(cluster) + + # Assertions + + def assert_jobsubmit_withoutlogin_kind(self, cluster): + ray_dashboard = cluster.cluster_dashboard_uri() + client = RayJobClient(address=ray_dashboard, verify=False) + + submission_id = client.submit_job( + entrypoint="python mnist.py", + runtime_env={ + "working_dir": "./tests/e2e/", + "pip": "./tests/e2e/mnist_pip_requirements.txt", + }, + ) + print(f"Submitted job with ID: {submission_id}") + done = False + time = 0 + timeout = 900 + while not done: + status = client.get_job_status(submission_id) + if status.is_terminal(): + break + if not done: + print(status) + if timeout and time >= timeout: + raise TimeoutError(f"job has timed out after waiting {timeout}s") + sleep(5) + time += 5 + + logs = client.get_job_logs(submission_id) + print(logs) + + self.assert_job_completion(status) + + client.delete_job(submission_id) + + cluster.down() + + def assert_job_completion(self, status): + if status == "SUCCEEDED": + print(f"Job has completed: '{status}'") + assert True + else: + print(f"Job has completed: '{status}'") + assert False diff --git a/tests/e2e/start_ray_cluster.py b/tests/e2e/start_ray_cluster.py index 8bb18580..957d0c25 100644 --- a/tests/e2e/start_ray_cluster.py +++ b/tests/e2e/start_ray_cluster.py @@ -20,9 +20,8 @@ min_memory=1, max_memory=2, num_gpus=0, - instascale=False, image=ray_image, - mcad=True, + appwrapper=True, ) ) diff --git a/tests/test-case-bad.yaml b/tests/test-case-bad.yaml index 6e969e01..3c5bf076 100644 --- a/tests/test-case-bad.yaml +++ b/tests/test-case-bad.yaml @@ -1,4 +1,4 @@ -apiVersion: workload.codeflare.dev/v1beta1 +apiVersion: workload.codeflare.dev/v1beta2 kind: AppsWrapper metadata: labels: @@ -6,162 +6,105 @@ metadata: nam: unit-test-cluster namspace: ns spec: - priority: 9 - resources: - GenericItems: - - custompodresources: - - limits: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - replicas: 1 - requests: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - - limits: - cpu: 4 - memory: 6G - nvidia.com/gpu: 7 - replicas: 2 - requests: - cpu: 3 - memory: 5G - nvidia.com/gpu: 7 - generictemplate: - apiVersion: ray.io/v1 - kind: RayCluster - metadata: - labels: - workload.codeflare.dev/appwrapper: unit-test-cluster - controller-tools.k8s.io: '1.0' - name: unit-test-cluster - namespace: ns - spec: - autoscalerOptions: - idleTimeoutSeconds: 60 - imagePullPolicy: Always - resources: - limits: - cpu: 500m - memory: 512Mi - requests: - cpu: 500m - memory: 512Mi - upscalingMode: Default - enableInTreeAutoscaling: false - headGroupSpec: - rayStartParams: - block: 'true' - dashboard-host: 0.0.0.0 - num-gpus: '0' - serviceType: ClusterIP - template: - spec: - affinity: - nodeAffinity: - requiredDuringSchedulingIgnoredDuringExecution: - nodeSelectorTerms: - - matchExpressions: - - key: unit-test-cluster - operator: In - values: - - unit-test-cluster - containers: - - env: - - name: MY_POD_IP - valueFrom: - fieldRef: - fieldPath: status.podIP - image: quay.io/project-codeflare/ray:latest-py39-cu118 - imagePullPolicy: Always - lifecycle: - preStop: - exec: - command: - - /bin/sh - - -c - - ray stop - name: ray-head - ports: - - containerPort: 6379 - name: gcs - - containerPort: 8265 - name: dashboard - - containerPort: 10001 - name: client - resources: - limits: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - requests: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - rayVersion: 1.12.0 - workerGroupSpecs: - - groupName: small-group-unit-test-cluster - maxReplicas: 2 - minReplicas: 2 - rayStartParams: - block: 'true' - num-gpus: '7' - replicas: 2 - template: - metadata: - annotations: - key: value - labels: - key: value - spec: - affinity: - nodeAffinity: - requiredDuringSchedulingIgnoredDuringExecution: - nodeSelectorTerms: - - matchExpressions: - - key: unit-test-cluster - operator: In - values: - - unit-test-cluster - containers: - - env: - - name: MY_POD_IP - valueFrom: - fieldRef: - fieldPath: status.podIP - image: quay.io/project-codeflare/ray:latest-py39-cu118 - lifecycle: - preStop: - exec: - command: - - /bin/sh - - -c - - ray stop - name: machine-learning - resources: - limits: - cpu: 4 - memory: 6G - nvidia.com/gpu: 7 - requests: - cpu: 3 - memory: 5G - nvidia.com/gpu: 7 - replicas: 1 - - generictemplate: - apiVersion: route.openshift.io/v1 - kind: Route - metadata: - labels: - odh-ray-cluster-service: unit-test-cluster-head-svc - name: ray-dashboard-unit-test-cluster - namespace: ns - spec: - port: - targetPort: dashboard - to: - kind: Service - name: unit-test-cluster-head-svc - replicas: 1 - Items: [] + components: + - template: + apiVersion: ray.io/v1 + kind: RayCluster + metadata: + labels: + controller-tools.k8s.io: '1.0' + name: unit-test-cluster + namespace: ns + spec: + autoscalerOptions: + idleTimeoutSeconds: 60 + imagePullPolicy: Always + resources: + limits: + cpu: 500m + memory: 512Mi + requests: + cpu: 500m + memory: 512Mi + upscalingMode: Default + enableInTreeAutoscaling: false + headGroupSpec: + rayStartParams: + block: 'true' + dashboard-host: 0.0.0.0 + num-gpus: '0' + serviceType: ClusterIP + template: + spec: + containers: + - env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + image: quay.io/project-codeflare/ray:latest-py39-cu118 + imagePullPolicy: Always + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: ray-head + ports: + - containerPort: 6379 + name: gcs + - containerPort: 8265 + name: dashboard + - containerPort: 10001 + name: client + resources: + limits: + cpu: 2 + memory: 8G + nvidia.com/gpu: 0 + requests: + cpu: 2 + memory: 8G + nvidia.com/gpu: 0 + rayVersion: 1.12.0 + workerGroupSpecs: + - groupName: small-group-unit-test-cluster + maxReplicas: 2 + minReplicas: 2 + rayStartParams: + block: 'true' + num-gpus: '7' + replicas: 2 + template: + metadata: + annotations: + key: value + labels: + key: value + spec: + containers: + - env: + - name: MY_POD_IP + valueFrom: + fieldRef: + fieldPath: status.podIP + image: quay.io/project-codeflare/ray:latest-py39-cu118 + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: machine-learning + resources: + limits: + cpu: 4 + memory: 6G + nvidia.com/gpu: 7 + requests: + cpu: 3 + memory: 5G + nvidia.com/gpu: 7 diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index 7fcf1fdc..367703d6 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -31,15 +31,6 @@ spec: serviceType: ClusterIP template: spec: - affinity: - nodeAffinity: - requiredDuringSchedulingIgnoredDuringExecution: - nodeSelectorTerms: - - matchExpressions: - - key: unit-test-cluster-ray - operator: In - values: - - unit-test-cluster-ray containers: - image: quay.io/project-codeflare/ray:latest-py39-cu118 imagePullPolicy: Always @@ -113,15 +104,6 @@ spec: labels: key: value spec: - affinity: - nodeAffinity: - requiredDuringSchedulingIgnoredDuringExecution: - nodeSelectorTerms: - - matchExpressions: - - key: unit-test-cluster-ray - operator: In - values: - - unit-test-cluster-ray containers: - image: quay.io/project-codeflare/ray:latest-py39-cu118 lifecycle: diff --git a/tests/test-case-prio.yaml b/tests/test-case-prio.yaml deleted file mode 100644 index a4d6e68f..00000000 --- a/tests/test-case-prio.yaml +++ /dev/null @@ -1,205 +0,0 @@ -apiVersion: workload.codeflare.dev/v1beta1 -kind: AppWrapper -metadata: - labels: - orderedinstance: cpu.small_gpu.large - name: prio-test-cluster - namespace: ns -spec: - priority: 10 - resources: - GenericItems: - - custompodresources: - - limits: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - replicas: 1 - requests: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - - limits: - cpu: 4 - memory: 6G - nvidia.com/gpu: 7 - replicas: 2 - requests: - cpu: 3 - memory: 5G - nvidia.com/gpu: 7 - generictemplate: - apiVersion: ray.io/v1 - kind: RayCluster - metadata: - labels: - controller-tools.k8s.io: '1.0' - workload.codeflare.dev/appwrapper: prio-test-cluster - name: prio-test-cluster - namespace: ns - spec: - autoscalerOptions: - idleTimeoutSeconds: 60 - imagePullPolicy: Always - resources: - limits: - cpu: 500m - memory: 512Mi - requests: - cpu: 500m - memory: 512Mi - upscalingMode: Default - enableInTreeAutoscaling: false - headGroupSpec: - enableIngress: false - rayStartParams: - block: 'true' - dashboard-host: 0.0.0.0 - num-gpus: '0' - serviceType: ClusterIP - template: - spec: - affinity: - nodeAffinity: - requiredDuringSchedulingIgnoredDuringExecution: - nodeSelectorTerms: - - matchExpressions: - - key: prio-test-cluster - operator: In - values: - - prio-test-cluster - containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 - imagePullPolicy: Always - lifecycle: - preStop: - exec: - command: - - /bin/sh - - -c - - ray stop - name: ray-head - ports: - - containerPort: 6379 - name: gcs - - containerPort: 8265 - name: dashboard - - containerPort: 10001 - name: client - resources: - limits: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - requests: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - imagePullSecrets: - - name: unit-test-pull-secret - priorityClassName: default - volumes: - - configMap: - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true - name: odh-trusted-ca-cert - - configMap: - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true - name: odh-ca-cert - rayVersion: 2.7.0 - workerGroupSpecs: - - groupName: small-group-prio-test-cluster - maxReplicas: 2 - minReplicas: 2 - rayStartParams: - block: 'true' - num-gpus: '7' - replicas: 2 - template: - metadata: - annotations: - key: value - labels: - key: value - spec: - affinity: - nodeAffinity: - requiredDuringSchedulingIgnoredDuringExecution: - nodeSelectorTerms: - - matchExpressions: - - key: prio-test-cluster - operator: In - values: - - prio-test-cluster - containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 - lifecycle: - preStop: - exec: - command: - - /bin/sh - - -c - - ray stop - name: machine-learning - resources: - limits: - cpu: 4 - memory: 6G - nvidia.com/gpu: 7 - requests: - cpu: 3 - memory: 5G - nvidia.com/gpu: 7 - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - imagePullSecrets: - - name: unit-test-pull-secret - priorityClassName: default - volumes: - - configMap: - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true - name: odh-trusted-ca-cert - - configMap: - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true - name: odh-ca-cert - replicas: 1 - Items: [] diff --git a/tests/test-case.yaml b/tests/test-case.yaml index b97d12a4..98166b37 100644 --- a/tests/test-case.yaml +++ b/tests/test-case.yaml @@ -1,202 +1,161 @@ -apiVersion: workload.codeflare.dev/v1beta1 +apiVersion: workload.codeflare.dev/v1beta2 kind: AppWrapper metadata: labels: - orderedinstance: cpu.small_gpu.large + kueue.x-k8s.io/queue-name: local-queue-default name: unit-test-cluster namespace: ns spec: - resources: - GenericItems: - - custompodresources: - - limits: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - replicas: 1 - requests: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - - limits: - cpu: 4 - memory: 6G - nvidia.com/gpu: 7 - replicas: 2 - requests: - cpu: 3 - memory: 5G - nvidia.com/gpu: 7 - generictemplate: - apiVersion: ray.io/v1 - kind: RayCluster - metadata: - labels: - controller-tools.k8s.io: '1.0' - workload.codeflare.dev/appwrapper: unit-test-cluster - name: unit-test-cluster - namespace: ns - spec: - autoscalerOptions: - idleTimeoutSeconds: 60 - imagePullPolicy: Always - resources: - limits: - cpu: 500m - memory: 512Mi - requests: - cpu: 500m - memory: 512Mi - upscalingMode: Default - enableInTreeAutoscaling: false - headGroupSpec: - enableIngress: false - rayStartParams: - block: 'true' - dashboard-host: 0.0.0.0 - num-gpus: '0' - serviceType: ClusterIP - template: - spec: - affinity: - nodeAffinity: - requiredDuringSchedulingIgnoredDuringExecution: - nodeSelectorTerms: - - matchExpressions: - - key: unit-test-cluster - operator: In - values: - - unit-test-cluster - containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 - imagePullPolicy: Always - lifecycle: - preStop: - exec: - command: - - /bin/sh - - -c - - ray stop - name: ray-head - ports: - - containerPort: 6379 - name: gcs - - containerPort: 8265 - name: dashboard - - containerPort: 10001 - name: client - resources: - limits: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - requests: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - imagePullSecrets: - - name: unit-test-pull-secret - volumes: - - configMap: - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true + components: + - template: + apiVersion: ray.io/v1 + kind: RayCluster + metadata: + labels: + controller-tools.k8s.io: '1.0' + name: unit-test-cluster + namespace: ns + spec: + autoscalerOptions: + idleTimeoutSeconds: 60 + imagePullPolicy: Always + resources: + limits: + cpu: 500m + memory: 512Mi + requests: + cpu: 500m + memory: 512Mi + upscalingMode: Default + enableInTreeAutoscaling: false + headGroupSpec: + enableIngress: false + rayStartParams: + block: 'true' + dashboard-host: 0.0.0.0 + num-gpus: '0' + serviceType: ClusterIP + template: + spec: + containers: + - image: quay.io/project-codeflare/ray:latest-py39-cu118 + imagePullPolicy: Always + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: ray-head + ports: + - containerPort: 6379 + name: gcs + - containerPort: 8265 + name: dashboard + - containerPort: 10001 + name: client + resources: + limits: + cpu: 2 + memory: 8G + nvidia.com/gpu: 0 + requests: + cpu: 2 + memory: 8G + nvidia.com/gpu: 0 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert - - configMap: - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt name: odh-ca-cert - rayVersion: 2.7.0 - workerGroupSpecs: - - groupName: small-group-unit-test-cluster - maxReplicas: 2 - minReplicas: 2 - rayStartParams: - block: 'true' - num-gpus: '7' - replicas: 2 - template: - metadata: - annotations: - key: value - labels: - key: value - spec: - affinity: - nodeAffinity: - requiredDuringSchedulingIgnoredDuringExecution: - nodeSelectorTerms: - - matchExpressions: - - key: unit-test-cluster - operator: In - values: - - unit-test-cluster - containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 - lifecycle: - preStop: - exec: - command: - - /bin/sh - - -c - - ray stop - name: machine-learning - resources: - limits: - cpu: 4 - memory: 6G - nvidia.com/gpu: 7 - requests: - cpu: 3 - memory: 5G - nvidia.com/gpu: 7 - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - imagePullSecrets: - - name: unit-test-pull-secret - volumes: - - configMap: - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true + subPath: odh-ca-bundle.crt + imagePullSecrets: + - name: unit-test-pull-secret + volumes: + - configMap: + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-trusted-ca-cert + - configMap: + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-ca-cert + rayVersion: 2.7.0 + workerGroupSpecs: + - groupName: small-group-unit-test-cluster + maxReplicas: 2 + minReplicas: 2 + rayStartParams: + block: 'true' + num-gpus: '7' + replicas: 2 + template: + metadata: + annotations: + key: value + labels: + key: value + spec: + containers: + - image: quay.io/project-codeflare/ray:latest-py39-cu118 + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: machine-learning + resources: + limits: + cpu: 4 + memory: 6G + nvidia.com/gpu: 7 + requests: + cpu: 3 + memory: 5G + nvidia.com/gpu: 7 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert - - configMap: - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt name: odh-ca-cert - replicas: 1 - Items: [] + subPath: odh-ca-bundle.crt + imagePullSecrets: + - name: unit-test-pull-secret + volumes: + - configMap: + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-trusted-ca-cert + - configMap: + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-ca-cert diff --git a/tests/test-default-appwrapper.yaml b/tests/test-default-appwrapper.yaml index c390f619..f754c176 100644 --- a/tests/test-default-appwrapper.yaml +++ b/tests/test-default-appwrapper.yaml @@ -1,180 +1,159 @@ -apiVersion: workload.codeflare.dev/v1beta1 +apiVersion: workload.codeflare.dev/v1beta2 kind: AppWrapper metadata: + labels: + kueue.x-k8s.io/queue-name: local-queue-default name: unit-test-default-cluster namespace: opendatahub spec: - resources: - GenericItems: - - custompodresources: - - limits: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - replicas: 1 - requests: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - - limits: - cpu: 1 - memory: 2G - nvidia.com/gpu: 0 - replicas: 1 - requests: - cpu: 1 - memory: 2G - nvidia.com/gpu: 0 - generictemplate: - apiVersion: ray.io/v1 - kind: RayCluster - metadata: - labels: - controller-tools.k8s.io: '1.0' - workload.codeflare.dev/appwrapper: unit-test-default-cluster - name: unit-test-default-cluster - namespace: opendatahub - spec: - autoscalerOptions: - idleTimeoutSeconds: 60 - imagePullPolicy: Always - resources: - limits: - cpu: 500m - memory: 512Mi - requests: - cpu: 500m - memory: 512Mi - upscalingMode: Default - enableInTreeAutoscaling: false - headGroupSpec: - enableIngress: false - rayStartParams: - block: 'true' - dashboard-host: 0.0.0.0 - num-gpus: '0' - serviceType: ClusterIP - template: - spec: - containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 - imagePullPolicy: Always - lifecycle: - preStop: - exec: - command: - - /bin/sh - - -c - - ray stop - name: ray-head - ports: - - containerPort: 6379 - name: gcs - - containerPort: 8265 - name: dashboard - - containerPort: 10001 - name: client - resources: - limits: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - requests: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - imagePullSecrets: [] - volumes: - - configMap: - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true + components: + - template: + apiVersion: ray.io/v1 + kind: RayCluster + metadata: + labels: + controller-tools.k8s.io: '1.0' + name: unit-test-default-cluster + namespace: opendatahub + spec: + autoscalerOptions: + idleTimeoutSeconds: 60 + imagePullPolicy: Always + resources: + limits: + cpu: 500m + memory: 512Mi + requests: + cpu: 500m + memory: 512Mi + upscalingMode: Default + enableInTreeAutoscaling: false + headGroupSpec: + enableIngress: false + rayStartParams: + block: 'true' + dashboard-host: 0.0.0.0 + num-gpus: '0' + serviceType: ClusterIP + template: + spec: + containers: + - image: quay.io/project-codeflare/ray:latest-py39-cu118 + imagePullPolicy: Always + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: ray-head + ports: + - containerPort: 6379 + name: gcs + - containerPort: 8265 + name: dashboard + - containerPort: 10001 + name: client + resources: + limits: + cpu: 2 + memory: 8G + nvidia.com/gpu: 0 + requests: + cpu: 2 + memory: 8G + nvidia.com/gpu: 0 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert - - configMap: - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt name: odh-ca-cert - rayVersion: 2.7.0 - workerGroupSpecs: - - groupName: small-group-unit-test-default-cluster - maxReplicas: 1 - minReplicas: 1 - rayStartParams: - block: 'true' - num-gpus: '0' - replicas: 1 - template: - metadata: - annotations: - key: value - labels: - key: value - spec: - containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 - lifecycle: - preStop: - exec: - command: - - /bin/sh - - -c - - ray stop - name: machine-learning - resources: - limits: - cpu: 1 - memory: 2G - nvidia.com/gpu: 0 - requests: - cpu: 1 - memory: 2G - nvidia.com/gpu: 0 - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - imagePullSecrets: [] - volumes: - - configMap: - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true + subPath: odh-ca-bundle.crt + imagePullSecrets: [] + volumes: + - configMap: + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-trusted-ca-cert + - configMap: + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-ca-cert + rayVersion: 2.7.0 + workerGroupSpecs: + - groupName: small-group-unit-test-default-cluster + maxReplicas: 1 + minReplicas: 1 + rayStartParams: + block: 'true' + num-gpus: '0' + replicas: 1 + template: + metadata: + annotations: + key: value + labels: + key: value + spec: + containers: + - image: quay.io/project-codeflare/ray:latest-py39-cu118 + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: machine-learning + resources: + limits: + cpu: 1 + memory: 2G + nvidia.com/gpu: 0 + requests: + cpu: 1 + memory: 2G + nvidia.com/gpu: 0 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert - - configMap: - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt name: odh-ca-cert - replicas: 1 - Items: [] + subPath: odh-ca-bundle.crt + imagePullSecrets: [] + volumes: + - configMap: + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-trusted-ca-cert + - configMap: + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-ca-cert diff --git a/tests/unit_test.py b/tests/unit_test.py index 1fe139de..32d730c4 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -265,15 +265,18 @@ def test_config_creation(): assert config.num_gpus == 7 assert config.image == "quay.io/project-codeflare/ray:latest-py39-cu118" assert config.template == f"{parent}/src/codeflare_sdk/templates/base-template.yaml" - assert config.instascale assert config.machine_types == ["cpu.small", "gpu.large"] assert config.image_pull_secrets == ["unit-test-pull-secret"] - assert config.dispatch_priority == None - assert config.mcad == True + assert config.appwrapper == True def test_cluster_creation(mocker): + # Create AppWrapper containing a Ray Cluster with no local queue specified mocker.patch("kubernetes.client.ApisApi.get_api_versions") + mocker.patch( + "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", + return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), + ) cluster = createClusterWithConfig(mocker) assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster.yaml" assert cluster.app_wrapper_name == "unit-test-cluster" @@ -345,8 +348,8 @@ def test_cluster_creation_no_mcad(mocker): config = createClusterConfig() config.name = "unit-test-cluster-ray" config.write_to_file = True - config.mcad = False config.labels = {"testlabel": "test", "testlabel2": "test"} + config.appwrapper = False cluster = Cluster(config) assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster-ray.yaml" @@ -372,7 +375,7 @@ def test_cluster_creation_no_mcad_local_queue(mocker): ) config = createClusterConfig() config.name = "unit-test-cluster-ray" - config.mcad = False + config.appwrapper = False config.write_to_file = True config.local_queue = "local-queue-default" config.labels = {"testlabel": "test", "testlabel2": "test"} @@ -394,12 +397,11 @@ def test_cluster_creation_no_mcad_local_queue(mocker): min_memory=5, max_memory=6, num_gpus=7, - instascale=True, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], image="quay.io/project-codeflare/ray:latest-py39-cu118", write_to_file=True, - mcad=False, + appwrapper=False, local_queue="local-queue-default", labels={"testlabel": "test", "testlabel2": "test"}, ) @@ -413,40 +415,20 @@ def test_cluster_creation_no_mcad_local_queue(mocker): ) -def test_cluster_creation_priority(mocker): - mocker.patch("kubernetes.client.ApisApi.get_api_versions") - mocker.patch("kubernetes.config.load_kube_config", return_value="ignore") - mocker.patch( - "kubernetes.client.CustomObjectsApi.list_cluster_custom_object", - return_value={"items": [{"metadata": {"name": "default"}, "value": 10}]}, - ) - config = createClusterConfig() - config.name = "prio-test-cluster" - config.dispatch_priority = "default" - mocker.patch( - "kubernetes.client.CustomObjectsApi.get_cluster_custom_object", - return_value={"spec": {"domain": "apps.cluster.awsroute.org"}}, - ) - cluster = Cluster(config) - assert cluster.app_wrapper_yaml == f"{aw_dir}prio-test-cluster.yaml" - assert cluster.app_wrapper_name == "prio-test-cluster" - assert filecmp.cmp( - f"{aw_dir}prio-test-cluster.yaml", - f"{parent}/tests/test-case-prio.yaml", - shallow=True, - ) - - def test_default_cluster_creation(mocker): mocker.patch("kubernetes.client.ApisApi.get_api_versions") mocker.patch( "codeflare_sdk.cluster.cluster.get_current_namespace", return_value="opendatahub", ) + mocker.patch( + "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", + return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), + ) default_config = ClusterConfiguration( name="unit-test-default-cluster", image="quay.io/project-codeflare/ray:latest-py39-cu118", - mcad=True, + appwrapper=True, ) cluster = Cluster(default_config) test_aw = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader) @@ -485,7 +467,7 @@ def arg_check_apply_effect(group, version, namespace, plural, body, *args): assert args == tuple() if plural == "appwrappers": assert group == "workload.codeflare.dev" - assert version == "v1beta1" + assert version == "v1beta2" with open(f"{aw_dir}unit-test-cluster.yaml") as f: aw = yaml.load(f, Loader=yaml.FullLoader) assert body == aw @@ -522,7 +504,7 @@ def arg_check_del_effect(group, version, namespace, plural, name, *args): assert args == tuple() if plural == "appwrappers": assert group == "workload.codeflare.dev" - assert version == "v1beta1" + assert version == "v1beta2" assert name == "unit-test-cluster" elif plural == "rayclusters": assert group == "ray.io" @@ -554,6 +536,10 @@ def test_cluster_up_down(mocker): "kubernetes.client.CustomObjectsApi.list_cluster_custom_object", return_value={"items": []}, ) + mocker.patch( + "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", + return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), + ) cluster = cluster = createClusterWithConfig(mocker) cluster.up() cluster.down() @@ -587,7 +573,7 @@ def test_cluster_up_down_no_mcad(mocker): ) config = createClusterConfig() config.name = "unit-test-cluster-ray" - config.mcad = False + config.appwrapper = False cluster = Cluster(config) cluster.up() cluster.down() @@ -616,7 +602,7 @@ def test_get_ingress_domain(mocker): def aw_status_fields(group, version, namespace, plural, *args): assert group == "workload.codeflare.dev" - assert version == "v1beta1" + assert version == "v1beta2" assert namespace == "test-ns" assert plural == "appwrappers" assert args == tuple() @@ -659,6 +645,10 @@ def test_cluster_uris(mocker): "codeflare_sdk.cluster.cluster._get_ingress_domain", return_value="apps.cluster.awsroute.org", ) + mocker.patch( + "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", + return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), + ) cluster = cluster = createClusterWithConfig(mocker) mocker.patch( "kubernetes.client.NetworkingV1Api.list_namespaced_ingress", @@ -781,6 +771,10 @@ def ingress_retrieval( def test_ray_job_wrapping(mocker): mocker.patch("kubernetes.client.ApisApi.get_api_versions") + mocker.patch( + "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", + return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), + ) cluster = cluster = createClusterWithConfig(mocker) cluster.config.image = "quay.io/project-codeflare/ray:latest-py39-cu118" mocker.patch( @@ -843,15 +837,11 @@ def test_print_no_cluster(capsys): def test_print_appwrappers(capsys): aw1 = AppWrapper( name="awtest1", - status=AppWrapperStatus.PENDING, - can_run=False, - job_state="queue-state", + status=AppWrapperStatus.SUSPENDED, ) aw2 = AppWrapper( name="awtest2", status=AppWrapperStatus.RUNNING, - can_run=False, - job_state="queue-state", ) try: print_app_wrappers_status([aw1, aw2]) @@ -859,18 +849,18 @@ def test_print_appwrappers(capsys): assert 1 == 0 captured = capsys.readouterr() assert captured.out == ( - "╭───────────────────────╮\n" - "│ 🚀 Cluster Queue │\n" - "│ Status 🚀 │\n" - "│ +---------+---------+ │\n" - "│ | Name | Status | │\n" - "│ +=========+=========+ │\n" - "│ | awtest1 | pending | │\n" - "│ | | | │\n" - "│ | awtest2 | running | │\n" - "│ | | | │\n" - "│ +---------+---------+ │\n" - "╰───────────────────────╯\n" + "╭─────────────────────────╮\n" + "│ 🚀 Cluster Queue │\n" + "│ Status 🚀 │\n" + "│ +---------+-----------+ │\n" + "│ | Name | Status | │\n" + "│ +=========+===========+ │\n" + "│ | awtest1 | suspended | │\n" + "│ | | | │\n" + "│ | awtest2 | running | │\n" + "│ | | | │\n" + "│ +---------+-----------+ │\n" + "╰─────────────────────────╯\n" ) @@ -898,13 +888,18 @@ def test_ray_details(mocker, capsys): "codeflare_sdk.cluster.cluster.Cluster.cluster_dashboard_uri", return_value="", ) + mocker.patch( + "codeflare_sdk.utils.generate_yaml.local_queue_exists", + return_value="true", + ) cf = Cluster( ClusterConfiguration( name="raytest2", namespace="ns", image="quay.io/project-codeflare/ray:latest-py39-cu118", write_to_file=True, - mcad=True, + appwrapper=True, + local_queue="local_default_queue", ) ) captured = capsys.readouterr() @@ -1023,118 +1018,16 @@ def get_ray_obj(group, version, namespace, plural, cls=None): "creationTimestamp": "2024-03-05T09:55:37Z", "generation": 1, "labels": { - "appwrapper.mcad.ibm.com": "quicktest", "controller-tools.k8s.io": "1.0", "resourceName": "quicktest", - "workload.codeflare.dev/appwrapper": "quicktest", "orderedinstance": "m4.xlarge_g4dn.xlarge", "kueue.x-k8s.io/queue-name": "team-a-queue", }, - "managedFields": [ - { - "apiVersion": "ray.io/v1", - "fieldsType": "FieldsV1", - "fieldsV1": { - "f:metadata": { - "f:labels": { - ".": {}, - "f:appwrapper.mcad.ibm.com": {}, - "f:controller-tools.k8s.io": {}, - "f:resourceName": {}, - "f:workload.codeflare.dev/appwrapper": {}, - }, - "f:ownerReferences": { - ".": {}, - 'k:{"uid":"a29b1a7a-0992-4860-a8d5-a689a751a3e8"}': {}, - }, - }, - "f:spec": { - ".": {}, - "f:autoscalerOptions": { - ".": {}, - "f:idleTimeoutSeconds": {}, - "f:imagePullPolicy": {}, - "f:resources": { - ".": {}, - "f:limits": { - ".": {}, - "f:cpu": {}, - "f:memory": {}, - }, - "f:requests": { - ".": {}, - "f:cpu": {}, - "f:memory": {}, - }, - }, - "f:upscalingMode": {}, - }, - "f:enableInTreeAutoscaling": {}, - "f:headGroupSpec": { - ".": {}, - "f:rayStartParams": { - ".": {}, - "f:block": {}, - "f:dashboard-host": {}, - "f:num-gpus": {}, - }, - "f:serviceType": {}, - "f:template": { - ".": {}, - "f:spec": { - ".": {}, - "f:affinity": { - ".": {}, - "f:nodeAffinity": { - ".": {}, - "f:requiredDuringSchedulingIgnoredDuringExecution": {}, - }, - }, - "f:imagePullSecrets": {}, - "f:volumes": {}, - }, - }, - }, - "f:rayVersion": {}, - "f:workerGroupSpecs": {}, - }, - }, - "manager": "codeflare-operator", - "operation": "Update", - "time": "2024-03-05T09:55:37Z", - }, - { - "apiVersion": "ray.io/v1alpha1", - "fieldsType": "FieldsV1", - "fieldsV1": { - "f:status": { - ".": {}, - "f:desiredWorkerReplicas": {}, - "f:endpoints": { - ".": {}, - "f:client": {}, - "f:dashboard": {}, - "f:gcs": {}, - "f:metrics": {}, - }, - "f:head": {".": {}, "f:serviceIP": {}}, - "f:lastUpdateTime": {}, - "f:maxWorkerReplicas": {}, - "f:minWorkerReplicas": {}, - "f:observedGeneration": {}, - } - }, - "manager": "manager", - "operation": "Update", - "subresource": "status", - "time": "2024-03-05T09:55:37Z", - }, - ], "name": "quicktest", "namespace": "ns", "ownerReferences": [ { - "apiVersion": "workload.codeflare.dev/v1beta1", + "apiVersion": "workload.codeflare.dev/v1beta2", "blockOwnerDeletion": True, "controller": True, "kind": "AppWrapper", @@ -1166,23 +1059,6 @@ def get_ray_obj(group, version, namespace, plural, cls=None): "template": { "metadata": {}, "spec": { - "affinity": { - "nodeAffinity": { - "requiredDuringSchedulingIgnoredDuringExecution": { - "nodeSelectorTerms": [ - { - "matchExpressions": [ - { - "key": "quicktest", - "operator": "In", - "values": ["quicktest"], - } - ] - } - ] - } - } - }, "containers": [ { "env": [ @@ -1321,23 +1197,6 @@ def get_ray_obj(group, version, namespace, plural, cls=None): "labels": {"key": "value"}, }, "spec": { - "affinity": { - "nodeAffinity": { - "requiredDuringSchedulingIgnoredDuringExecution": { - "nodeSelectorTerms": [ - { - "matchExpressions": [ - { - "key": "quicktest", - "operator": "In", - "values": ["quicktest"], - } - ] - } - ] - } - } - }, "containers": [ { "env": [ @@ -1468,103 +1327,15 @@ def get_ray_obj(group, version, namespace, plural, cls=None): "creationTimestamp": "2023-02-22T16:26:07Z", "generation": 1, "labels": { - "workload.codeflare.dev/appwrapper": "quicktest2", "controller-tools.k8s.io": "1.0", "resourceName": "quicktest2", "orderedinstance": "m4.xlarge_g4dn.xlarge", }, - "managedFields": [ - { - "apiVersion": "ray.io/v1", - "fieldsType": "FieldsV1", - "fieldsV1": { - "f:metadata": { - "f:labels": { - ".": {}, - "f:workload.codeflare.dev/appwrapper": {}, - "f:controller-tools.k8s.io": {}, - "f:resourceName": {}, - }, - "f:ownerReferences": { - ".": {}, - 'k:{"uid":"6334fc1b-471e-4876-8e7b-0b2277679235"}': {}, - }, - }, - "f:spec": { - ".": {}, - "f:autoscalerOptions": { - ".": {}, - "f:idleTimeoutSeconds": {}, - "f:imagePullPolicy": {}, - "f:resources": { - ".": {}, - "f:limits": { - ".": {}, - "f:cpu": {}, - "f:memory": {}, - }, - "f:requests": { - ".": {}, - "f:cpu": {}, - "f:memory": {}, - }, - }, - "f:upscalingMode": {}, - }, - "f:enableInTreeAutoscaling": {}, - "f:headGroupSpec": { - ".": {}, - "f:rayStartParams": { - ".": {}, - "f:block": {}, - "f:dashboard-host": {}, - "f:num-gpus": {}, - }, - "f:serviceType": {}, - "f:template": { - ".": {}, - "f:spec": {".": {}, "f:containers": {}}, - }, - }, - "f:rayVersion": {}, - "f:workerGroupSpecs": {}, - }, - }, - "manager": "mcad-controller", - "operation": "Update", - "time": "2023-02-22T16:26:07Z", - }, - { - "apiVersion": "ray.io/v1", - "fieldsType": "FieldsV1", - "fieldsV1": { - "f:status": { - ".": {}, - "f:availableWorkerReplicas": {}, - "f:desiredWorkerReplicas": {}, - "f:endpoints": { - ".": {}, - "f:client": {}, - "f:dashboard": {}, - "f:gcs": {}, - }, - "f:lastUpdateTime": {}, - "f:maxWorkerReplicas": {}, - "f:minWorkerReplicas": {}, - "f:state": {}, - } - }, - "manager": "manager", - "operation": "Update", - "subresource": "status", - "time": "2023-02-22T16:26:16Z", - }, - ], "name": "quicktest2", "namespace": "ns", "ownerReferences": [ { - "apiVersion": "workload.codeflare.dev/v1beta1", + "apiVersion": "workload.codeflare.dev/v1beta2", "blockOwnerDeletion": True, "controller": True, "kind": "AppWrapper", @@ -1723,7 +1494,7 @@ def get_ray_obj(group, version, namespace, plural, cls=None): def get_named_aw(group, version, namespace, plural, name): - aws = get_aw_obj("workload.codeflare.dev", "v1beta1", "ns", "appwrappers") + aws = get_aw_obj("workload.codeflare.dev", "v1beta2", "ns", "appwrappers") return aws["items"][0] @@ -1731,144 +1502,128 @@ def get_aw_obj(group, version, namespace, plural): api_obj1 = { "items": [ { - "apiVersion": "workload.codeflare.dev/v1beta1", + "apiVersion": "workload.codeflare.dev/v1beta2", "kind": "AppWrapper", "metadata": { - "annotations": { - "kubectl.kubernetes.io/last-applied-configuration": '{"apiVersion":"codeflare.dev/v1beta1","kind":"AppWrapper","metadata":{"annotations":{},"name":"quicktest1","namespace":"ns"},"spec":{"priority":9,"resources":{"GenericItems":[{"custompodresources":[{"limits":{"cpu":2,"memory":"8G","nvidia.com/gpu":0},"replicas":1,"requests":{"cpu":2,"memory":"8G","nvidia.com/gpu":0}},{"limits":{"cpu":1,"memory":"2G","nvidia.com/gpu":0},"replicas":1,"requests":{"cpu":1,"memory":"2G","nvidia.com/gpu":0}}],"generictemplate":{"apiVersion":"ray.io/v1","kind":"RayCluster","metadata":{"labels":{"appwrapper.codeflare.dev":"quicktest1","controller-tools.k8s.io":"1.0"},"name":"quicktest1","namespace":"ns"},"spec":{"autoscalerOptions":{"idleTimeoutSeconds":60,"imagePullPolicy":"Always","resources":{"limits":{"cpu":"500m","memory":"512Mi"},"requests":{"cpu":"500m","memory":"512Mi"}},"upscalingMode":"Default"},"enableInTreeAutoscaling":false,"headGroupSpec":{"rayStartParams":{"block":"true","dashboard-host":"0.0.0.0","num-gpus":"0"},"serviceType":"ClusterIP","template":{"spec":{"containers":[{"image":"ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103","imagePullPolicy":"Always","lifecycle":{"preStop":{"exec":{"command":["/bin/sh","-c","ray stop"]}}},"name":"ray-head","ports":[{"containerPort":6379,"name":"gcs"},{"containerPort":8265,"name":"dashboard"},{"containerPort":10001,"name":"client"}],"resources":{"limits":{"cpu":2,"memory":"8G","nvidia.com/gpu":0},"requests":{"cpu":2,"memory":"8G","nvidia.com/gpu":0}}}]}}},"rayVersion":"1.12.0","workerGroupSpecs":[{"groupName":"small-group-quicktest","maxReplicas":1,"minReplicas":1,"rayStartParams":{"block":"true","num-gpus":"0"},"replicas":1,"template":{"metadata":{"annotations":{"key":"value"},"labels":{"key":"value"}},"spec":{"containers":[{"env":[{"name":"MY_POD_IP","valueFrom":{"fieldRef":{"fieldPath":"status.podIP"}}}],"image":"ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103","lifecycle":{"preStop":{"exec":{"command":["/bin/sh","-c","ray stop"]}}},"name":"machine-learning","resources":{"limits":{"cpu":1,"memory":"2G","nvidia.com/gpu":0},"requests":{"cpu":1,"memory":"2G","nvidia.com/gpu":0}}}],}}}]}},"replicas":1},{"generictemplate":{"apiVersion":"route.openshift.io/v1","kind":"Route","metadata":{"labels":{"odh-ray-cluster-service":"quicktest-head-svc"},"name":"ray-dashboard-quicktest","namespace":"default"},"spec":{"port":{"targetPort":"dashboard"},"to":{"kind":"Service","name":"quicktest-head-svc"}}},"replica":1}],"Items":[]}}}\n' - }, - "creationTimestamp": "2023-02-22T16:26:07Z", - "generation": 4, - "managedFields": [ - { - "apiVersion": "workload.codeflare.dev/v1beta1", - "fieldsType": "FieldsV1", - "fieldsV1": { - "f:spec": { - "f:resources": { - "f:GenericItems": {}, - "f:metadata": {}, - }, - "f:schedulingSpec": {}, - "f:service": {".": {}, "f:spec": {}}, - }, - "f:status": { - ".": {}, - "f:canrun": {}, - "f:conditions": {}, - "f:controllerfirsttimestamp": {}, - "f:filterignore": {}, - "f:queuejobstate": {}, - "f:sender": {}, - "f:state": {}, - "f:systempriority": {}, - }, - }, - "manager": "Go-http-client", - "operation": "Update", - "time": "2023-02-22T16:26:07Z", - }, - { - "apiVersion": "workload.codeflare.dev/v1beta1", - "fieldsType": "FieldsV1", - "fieldsV1": { - "f:metadata": { - "f:annotations": { - ".": {}, - "f:kubectl.kubernetes.io/last-applied-configuration": {}, - } - }, - "f:spec": { - ".": {}, - "f:priority": {}, - "f:resources": {".": {}, "f:Items": {}}, - }, - }, - "manager": "kubectl-client-side-apply", - "operation": "Update", - "time": "2023-02-22T16:26:07Z", - }, - ], "name": "quicktest1", "namespace": "ns", - "resourceVersion": "9482384", - "uid": "6334fc1b-471e-4876-8e7b-0b2277679235", }, "spec": { - "priority": 9, - "resources": { - "GenericItems": [ - { - "allocated": 0, - "custompodresources": [ - { - "limits": { - "cpu": "2", - "memory": "8G", - "nvidia.com/gpu": "0", - }, - "replicas": 1, - "requests": { - "cpu": "2", - "memory": "8G", - "nvidia.com/gpu": "0", - }, + "components": [ + { + "template": { + "apiVersion": "ray.io/v1", + "kind": "RayCluster", + "metadata": { + "labels": { + "controller-tools.k8s.io": "1.0", }, - { - "limits": { - "cpu": "1", - "memory": "2G", - "nvidia.com/gpu": "0", - }, - "replicas": 1, - "requests": { - "cpu": "1", - "memory": "2G", - "nvidia.com/gpu": "0", + "name": "quicktest1", + "namespace": "ns", + }, + "spec": { + "autoscalerOptions": { + "idleTimeoutSeconds": 60, + "imagePullPolicy": "Always", + "resources": { + "limits": { + "cpu": "500m", + "memory": "512Mi", + }, + "requests": { + "cpu": "500m", + "memory": "512Mi", + }, }, + "upscalingMode": "Default", }, - ], - "generictemplate": { - "apiVersion": "ray.io/v1", - "kind": "RayCluster", - "metadata": { - "labels": { - "workload.codeflare.dev/appwrapper": "quicktest1", - "controller-tools.k8s.io": "1.0", + "enableInTreeAutoscaling": False, + "headGroupSpec": { + "rayStartParams": { + "block": "true", + "dashboard-host": "0.0.0.0", + "num-gpus": "0", }, - "name": "quicktest1", - "namespace": "ns", - }, - "spec": { - "autoscalerOptions": { - "idleTimeoutSeconds": 60, - "imagePullPolicy": "Always", - "resources": { - "limits": { - "cpu": "500m", - "memory": "512Mi", - }, - "requests": { - "cpu": "500m", - "memory": "512Mi", - }, - }, - "upscalingMode": "Default", + "serviceType": "ClusterIP", + "template": { + "spec": { + "containers": [ + { + "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103", + "imagePullPolicy": "Always", + "lifecycle": { + "preStop": { + "exec": { + "command": [ + "/bin/sh", + "-c", + "ray stop", + ] + } + } + }, + "name": "ray-head", + "ports": [ + { + "containerPort": 6379, + "name": "gcs", + }, + { + "containerPort": 8265, + "name": "dashboard", + }, + { + "containerPort": 10001, + "name": "client", + }, + ], + "resources": { + "limits": { + "cpu": 2, + "memory": "8G", + "nvidia.com/gpu": 0, + }, + "requests": { + "cpu": 2, + "memory": "8G", + "nvidia.com/gpu": 0, + }, + }, + } + ] + } }, - "enableInTreeAutoscaling": False, - "headGroupSpec": { + }, + "rayVersion": "1.12.0", + "workerGroupSpecs": [ + { + "groupName": "small-group-quicktest", + "maxReplicas": 1, + "minReplicas": 1, "rayStartParams": { "block": "true", - "dashboard-host": "0.0.0.0", "num-gpus": "0", }, - "serviceType": "ClusterIP", + "replicas": 1, "template": { + "metadata": { + "annotations": {"key": "value"}, + "labels": {"key": "value"}, + }, "spec": { "containers": [ { + "env": [ + { + "name": "MY_POD_IP", + "valueFrom": { + "fieldRef": { + "fieldPath": "status.podIP" + } + }, + } + ], "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103", - "imagePullPolicy": "Always", "lifecycle": { "preStop": { "exec": { @@ -1880,322 +1635,190 @@ def get_aw_obj(group, version, namespace, plural): } } }, - "name": "ray-head", - "ports": [ - { - "containerPort": 6379, - "name": "gcs", - }, - { - "containerPort": 8265, - "name": "dashboard", - }, - { - "containerPort": 10001, - "name": "client", - }, - ], + "name": "machine-learning", "resources": { "limits": { - "cpu": 2, - "memory": "8G", + "cpu": 1, + "memory": "2G", "nvidia.com/gpu": 0, }, "requests": { - "cpu": 2, - "memory": "8G", + "cpu": 1, + "memory": "2G", "nvidia.com/gpu": 0, }, }, } - ] - } - }, - }, - "rayVersion": "1.12.0", - "workerGroupSpecs": [ - { - "groupName": "small-group-quicktest", - "maxReplicas": 1, - "minReplicas": 1, - "rayStartParams": { - "block": "true", - "num-gpus": "0", - }, - "replicas": 1, - "template": { - "metadata": { - "annotations": {"key": "value"}, - "labels": {"key": "value"}, - }, - "spec": { - "containers": [ - { - "env": [ - { - "name": "MY_POD_IP", - "valueFrom": { - "fieldRef": { - "fieldPath": "status.podIP" - } - }, - } - ], - "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103", - "lifecycle": { - "preStop": { - "exec": { - "command": [ - "/bin/sh", - "-c", - "ray stop", - ] - } - } - }, - "name": "machine-learning", - "resources": { - "limits": { - "cpu": 1, - "memory": "2G", - "nvidia.com/gpu": 0, - }, - "requests": { - "cpu": 1, - "memory": "2G", - "nvidia.com/gpu": 0, - }, - }, - } - ], - }, + ], }, - } - ], - }, + }, + } + ], }, - "metadata": {}, - "priority": 0, - "priorityslope": 0, - "replicas": 1, }, - { - "allocated": 0, - "generictemplate": { - "apiVersion": "networking.k8s.io/v1", - "kind": "Ingress", - "metadata": { - "labels": { - "ingress-owner": "appwrapper-name", - }, - "name": "ray-dashboard-quicktest", - "namespace": "default", + }, + { + "template": { + "apiVersion": "networking.k8s.io/v1", + "kind": "Ingress", + "metadata": { + "labels": { + "ingress-owner": "appwrapper-name", }, - "spec": { - "ingressClassName": "nginx", - "rules": [ - { - "http": { - "paths": { - "backend": { - "service": { - "name": "quicktest-head-svc", - "port": { - "number": 8265 - }, - }, + "name": "ray-dashboard-quicktest", + "namespace": "default", + }, + "spec": { + "ingressClassName": "nginx", + "rules": [ + { + "http": { + "paths": { + "backend": { + "service": { + "name": "quicktest-head-svc", + "port": {"number": 8265}, }, - "pathType": "Prefix", - "path": "/", }, + "pathType": "Prefix", + "path": "/", }, - "host": "quicktest.awsroute.com", - } - ], - }, + }, + "host": "quicktest.awsroute.com", + } + ], }, - "metadata": {}, - "priority": 0, - "priorityslope": 0, }, - ], - "Items": [], - "metadata": {}, - }, - "schedulingSpec": {}, - "service": {"spec": {}}, - }, - "status": { - "canrun": True, - "conditions": [ - { - "lastTransitionMicroTime": "2023-02-22T16:26:07.559447Z", - "lastUpdateMicroTime": "2023-02-22T16:26:07.559447Z", - "status": "True", - "type": "Init", - }, - { - "lastTransitionMicroTime": "2023-02-22T16:26:07.559551Z", - "lastUpdateMicroTime": "2023-02-22T16:26:07.559551Z", - "reason": "AwaitingHeadOfLine", - "status": "True", - "type": "Queueing", - }, - { - "lastTransitionMicroTime": "2023-02-22T16:26:13.220564Z", - "lastUpdateMicroTime": "2023-02-22T16:26:13.220564Z", - "reason": "AppWrapperRunnable", - "status": "True", - "type": "Dispatched", }, ], - "controllerfirsttimestamp": "2023-02-22T16:26:07.559447Z", - "filterignore": True, - "queuejobstate": "Dispatched", - "sender": "before manageQueueJob - afterEtcdDispatching", - "state": "Running", - "systempriority": 9, + }, + "status": { + "phase": "Running", }, }, { - "apiVersion": "workload.codeflare.dev/v1beta1", + "apiVersion": "workload.codeflare.dev/v1beta2", "kind": "AppWrapper", "metadata": { - "annotations": { - "kubectl.kubernetes.io/last-applied-configuration": '{"apiVersion":"codeflare.dev/v1beta1","kind":"AppWrapper","metadata":{"annotations":{},"name":"quicktest2","namespace":"ns"},"spec":{"priority":9,"resources":{"GenericItems":[{"custompodresources":[{"limits":{"cpu":2,"memory":"8G","nvidia.com/gpu":0},"replicas":1,"requests":{"cpu":2,"memory":"8G","nvidia.com/gpu":0}},{"limits":{"cpu":1,"memory":"2G","nvidia.com/gpu":0},"replicas":1,"requests":{"cpu":1,"memory":"2G","nvidia.com/gpu":0}}],"generictemplate":{"apiVersion":"ray.io/v1","kind":"RayCluster","metadata":{"labels":{"appwrapper.codeflare.dev":"quicktest2","controller-tools.k8s.io":"1.0"},"name":"quicktest2","namespace":"ns"},"spec":{"autoscalerOptions":{"idleTimeoutSeconds":60,"imagePullPolicy":"Always","resources":{"limits":{"cpu":"500m","memory":"512Mi"},"requests":{"cpu":"500m","memory":"512Mi"}},"upscalingMode":"Default"},"enableInTreeAutoscaling":false,"headGroupSpec":{"rayStartParams":{"block":"true","dashboard-host":"0.0.0.0","num-gpus":"0"},"serviceType":"ClusterIP","template":{"spec":{"containers":[{"image":"ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103","imagePullPolicy":"Always","lifecycle":{"preStop":{"exec":{"command":["/bin/sh","-c","ray stop"]}}},"name":"ray-head","ports":[{"containerPort":6379,"name":"gcs"},{"containerPort":8265,"name":"dashboard"},{"containerPort":10001,"name":"client"}],"resources":{"limits":{"cpu":2,"memory":"8G","nvidia.com/gpu":0},"requests":{"cpu":2,"memory":"8G","nvidia.com/gpu":0}}}]}}},"rayVersion":"1.12.0","workerGroupSpecs":[{"groupName":"small-group-quicktest","maxReplicas":1,"minReplicas":1,"rayStartParams":{"block":"true","num-gpus":"0"},"replicas":1,"template":{"metadata":{"annotations":{"key":"value"},"labels":{"key":"value"}},"spec":{"containers":[{"env":[{"name":"MY_POD_IP","valueFrom":{"fieldRef":{"fieldPath":"status.podIP"}}}],"image":"ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103","lifecycle":{"preStop":{"exec":{"command":["/bin/sh","-c","ray stop"]}}},"name":"machine-learning","resources":{"limits":{"cpu":1,"memory":"2G","nvidia.com/gpu":0},"requests":{"cpu":1,"memory":"2G","nvidia.com/gpu":0}}}],}}}]}},"replicas":1},{"generictemplate":{"apiVersion":"route.openshift.io/v1","kind":"Route","metadata":{"labels":{"odh-ray-cluster-service":"quicktest-head-svc"},"name":"ray-dashboard-quicktest","namespace":"default"},"spec":{"port":{"targetPort":"dashboard"},"to":{"kind":"Service","name":"quicktest-head-svc"}}},"replica":1}],"Items":[]}}}\n' - }, - "creationTimestamp": "2023-02-22T16:26:07Z", - "generation": 4, - "managedFields": [ - { - "apiVersion": "workload.codeflare.dev/v1beta1", - "fieldsType": "FieldsV1", - "fieldsV1": { - "f:spec": { - "f:resources": { - "f:GenericItems": {}, - "f:metadata": {}, - }, - "f:schedulingSpec": {}, - "f:service": {".": {}, "f:spec": {}}, - }, - "f:status": { - ".": {}, - "f:canrun": {}, - "f:conditions": {}, - "f:controllerfirsttimestamp": {}, - "f:filterignore": {}, - "f:queuejobstate": {}, - "f:sender": {}, - "f:state": {}, - "f:systempriority": {}, - }, - }, - "manager": "Go-http-client", - "operation": "Update", - "time": "2023-02-22T16:26:07Z", - }, - { - "apiVersion": "workload.codeflare.dev/v1beta1", - "fieldsType": "FieldsV1", - "fieldsV1": { - "f:metadata": { - "f:annotations": { - ".": {}, - "f:kubectl.kubernetes.io/last-applied-configuration": {}, - } - }, - "f:spec": { - ".": {}, - "f:priority": {}, - "f:resources": {".": {}, "f:Items": {}}, - }, - }, - "manager": "kubectl-client-side-apply", - "operation": "Update", - "time": "2023-02-22T16:26:07Z", - }, - ], "name": "quicktest2", "namespace": "ns", - "resourceVersion": "9482384", - "uid": "6334fc1b-471e-4876-8e7b-0b2277679235", }, "spec": { - "priority": 9, - "resources": { - "GenericItems": [ - { - "allocated": 0, - "custompodresources": [ - { - "limits": { - "cpu": "2", - "memory": "8G", - "nvidia.com/gpu": "0", - }, - "replicas": 1, - "requests": { - "cpu": "2", - "memory": "8G", - "nvidia.com/gpu": "0", - }, + "components": [ + { + "template": { + "apiVersion": "ray.io/v1", + "kind": "RayCluster", + "metadata": { + "labels": { + "controller-tools.k8s.io": "1.0", }, - { - "limits": { - "cpu": "1", - "memory": "2G", - "nvidia.com/gpu": "0", - }, - "replicas": 1, - "requests": { - "cpu": "1", - "memory": "2G", - "nvidia.com/gpu": "0", + "name": "quicktest2", + "namespace": "ns", + }, + "spec": { + "autoscalerOptions": { + "idleTimeoutSeconds": 60, + "imagePullPolicy": "Always", + "resources": { + "limits": { + "cpu": "500m", + "memory": "512Mi", + }, + "requests": { + "cpu": "500m", + "memory": "512Mi", + }, }, + "upscalingMode": "Default", }, - ], - "generictemplate": { - "apiVersion": "ray.io/v1", - "kind": "RayCluster", - "metadata": { - "labels": { - "workload.codeflare.dev/appwrapper": "quicktest2", - "controller-tools.k8s.io": "1.0", + "enableInTreeAutoscaling": False, + "headGroupSpec": { + "rayStartParams": { + "block": "true", + "dashboard-host": "0.0.0.0", + "num-gpus": "0", }, - "name": "quicktest2", - "namespace": "ns", - }, - "spec": { - "autoscalerOptions": { - "idleTimeoutSeconds": 60, - "imagePullPolicy": "Always", - "resources": { - "limits": { - "cpu": "500m", - "memory": "512Mi", - }, - "requests": { - "cpu": "500m", - "memory": "512Mi", - }, - }, - "upscalingMode": "Default", + "serviceType": "ClusterIP", + "template": { + "spec": { + "containers": [ + { + "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103", + "imagePullPolicy": "Always", + "lifecycle": { + "preStop": { + "exec": { + "command": [ + "/bin/sh", + "-c", + "ray stop", + ] + } + } + }, + "name": "ray-head", + "ports": [ + { + "containerPort": 6379, + "name": "gcs", + }, + { + "containerPort": 8265, + "name": "dashboard", + }, + { + "containerPort": 10001, + "name": "client", + }, + ], + "resources": { + "limits": { + "cpu": 2, + "memory": "8G", + "nvidia.com/gpu": 0, + }, + "requests": { + "cpu": 2, + "memory": "8G", + "nvidia.com/gpu": 0, + }, + }, + } + ] + } }, - "enableInTreeAutoscaling": False, - "headGroupSpec": { + }, + "rayVersion": "1.12.0", + "workerGroupSpecs": [ + { + "groupName": "small-group-quicktest", + "maxReplicas": 1, + "minReplicas": 1, "rayStartParams": { "block": "true", - "dashboard-host": "0.0.0.0", "num-gpus": "0", }, - "serviceType": "ClusterIP", + "replicas": 1, "template": { + "metadata": { + "annotations": {"key": "value"}, + "labels": {"key": "value"}, + }, "spec": { "containers": [ { + "env": [ + { + "name": "MY_POD_IP", + "valueFrom": { + "fieldRef": { + "fieldPath": "status.podIP" + } + }, + } + ], "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103", - "imagePullPolicy": "Always", "lifecycle": { "preStop": { "exec": { @@ -2207,166 +1830,52 @@ def get_aw_obj(group, version, namespace, plural): } } }, - "name": "ray-head", - "ports": [ - { - "containerPort": 6379, - "name": "gcs", - }, - { - "containerPort": 8265, - "name": "dashboard", - }, - { - "containerPort": 10001, - "name": "client", - }, - ], + "name": "machine-learning", "resources": { "limits": { - "cpu": 2, - "memory": "8G", + "cpu": 1, + "memory": "2G", "nvidia.com/gpu": 0, }, "requests": { - "cpu": 2, - "memory": "8G", + "cpu": 1, + "memory": "2G", "nvidia.com/gpu": 0, }, }, } - ] - } - }, - }, - "rayVersion": "1.12.0", - "workerGroupSpecs": [ - { - "groupName": "small-group-quicktest", - "maxReplicas": 1, - "minReplicas": 1, - "rayStartParams": { - "block": "true", - "num-gpus": "0", + ], }, - "replicas": 1, - "template": { - "metadata": { - "annotations": {"key": "value"}, - "labels": {"key": "value"}, - }, - "spec": { - "containers": [ - { - "env": [ - { - "name": "MY_POD_IP", - "valueFrom": { - "fieldRef": { - "fieldPath": "status.podIP" - } - }, - } - ], - "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103", - "lifecycle": { - "preStop": { - "exec": { - "command": [ - "/bin/sh", - "-c", - "ray stop", - ] - } - } - }, - "name": "machine-learning", - "resources": { - "limits": { - "cpu": 1, - "memory": "2G", - "nvidia.com/gpu": 0, - }, - "requests": { - "cpu": 1, - "memory": "2G", - "nvidia.com/gpu": 0, - }, - }, - } - ], - }, - }, - } - ], - }, + }, + } + ], }, - "metadata": {}, - "priority": 0, - "priorityslope": 0, - "replicas": 1, }, - { - "allocated": 0, - "generictemplate": { - "apiVersion": "route.openshift.io/v1", - "kind": "Route", - "metadata": { - "labels": { - "odh-ray-cluster-service": "quicktest-head-svc" - }, - "name": "ray-dashboard-quicktest", - "namespace": "default", + }, + { + "template": { + "apiVersion": "route.openshift.io/v1", + "kind": "Route", + "metadata": { + "labels": { + "odh-ray-cluster-service": "quicktest-head-svc" }, - "spec": { - "port": {"targetPort": "dashboard"}, - "to": { - "kind": "Service", - "name": "quicktest-head-svc", - }, + "name": "ray-dashboard-quicktest", + "namespace": "default", + }, + "spec": { + "port": {"targetPort": "dashboard"}, + "to": { + "kind": "Service", + "name": "quicktest-head-svc", }, }, - "metadata": {}, - "priority": 0, - "priorityslope": 0, }, - ], - "Items": [], - "metadata": {}, - }, - "schedulingSpec": {}, - "service": {"spec": {}}, - }, - "status": { - "canrun": True, - "conditions": [ - { - "lastTransitionMicroTime": "2023-02-22T16:26:07.559447Z", - "lastUpdateMicroTime": "2023-02-22T16:26:07.559447Z", - "status": "True", - "type": "Init", - }, - { - "lastTransitionMicroTime": "2023-02-22T16:26:07.559551Z", - "lastUpdateMicroTime": "2023-02-22T16:26:07.559551Z", - "reason": "AwaitingHeadOfLine", - "status": "True", - "type": "Queueing", - }, - { - "lastTransitionMicroTime": "2023-02-22T16:26:13.220564Z", - "lastUpdateMicroTime": "2023-02-22T16:26:13.220564Z", - "reason": "AppWrapperRunnable", - "status": "True", - "type": "Dispatched", }, ], - "controllerfirsttimestamp": "2023-02-22T16:26:07.559447Z", - "filterignore": True, - "queuejobstate": "Dispatched", - "sender": "before manageQueueJob - afterEtcdDispatching", - "state": "Pending", - "systempriority": 9, + }, + "status": { + "phase": "Suspended", }, }, ] @@ -2428,6 +1937,10 @@ def test_get_cluster_openshift(mocker): MagicMock(versions=[MagicMock(group_version="route.openshift.io/v1")]) ] mocker.patch("kubernetes.client.ApisApi", return_value=mock_api) + mocker.patch( + "codeflare_sdk.utils.generate_yaml.local_queue_exists", + return_value="true", + ) assert is_openshift_cluster() @@ -2437,7 +1950,7 @@ def custom_side_effect(group, version, namespace, plural, **kwargs): elif plural == "rayclusters": return get_ray_obj("ray.io", "v1", "ns", "rayclusters") elif plural == "appwrappers": - return get_aw_obj("workload.codeflare.dev", "v1beta1", "ns", "appwrappers") + return get_aw_obj("workload.codeflare.dev", "v1beta2", "ns", "appwrappers") elif plural == "localqueues": return get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues") @@ -2492,6 +2005,10 @@ def test_get_cluster(mocker): "kubernetes.client.NetworkingV1Api.list_namespaced_ingress", return_value=ingress_retrieval(cluster_name="quicktest", client_ing=True), ) + mocker.patch( + "codeflare_sdk.utils.generate_yaml.local_queue_exists", + return_value="true", + ) cluster = get_cluster("quicktest") cluster_config = cluster.config assert cluster_config.name == "quicktest" and cluster_config.namespace == "ns" @@ -2502,7 +2019,6 @@ def test_get_cluster(mocker): assert cluster_config.min_cpus == 1 and cluster_config.max_cpus == 1 assert cluster_config.min_memory == "2G" and cluster_config.max_memory == "2G" assert cluster_config.num_gpus == 0 - assert cluster_config.instascale assert ( cluster_config.image == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103" @@ -2521,6 +2037,10 @@ def test_get_cluster_no_mcad(mocker): "kubernetes.client.NetworkingV1Api.list_namespaced_ingress", return_value=ingress_retrieval(cluster_name="quicktest", client_ing=True), ) + mocker.patch( + "codeflare_sdk.utils.generate_yaml.local_queue_exists", + return_value="true", + ) cluster = get_cluster("quicktest") cluster_config = cluster.config assert cluster_config.name == "quicktest" and cluster_config.namespace == "ns" @@ -2531,7 +2051,6 @@ def test_get_cluster_no_mcad(mocker): assert cluster_config.min_cpus == 1 and cluster_config.max_cpus == 1 assert cluster_config.min_memory == "2G" and cluster_config.max_memory == "2G" assert cluster_config.num_gpus == 0 - assert cluster_config.instascale assert ( cluster_config.image == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103" @@ -2672,7 +2191,7 @@ def test_list_queue(mocker, capsys): "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", side_effect=get_obj_none, ) - list_all_queued("ns", mcad=True) + list_all_queued("ns", appwrapper=True) captured = capsys.readouterr() assert captured.out == ( "╭──────────────────────────────────────────────────────────────────────────────╮\n" @@ -2683,21 +2202,21 @@ def test_list_queue(mocker, capsys): "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", side_effect=get_aw_obj, ) - list_all_queued("ns", mcad=True) + list_all_queued("ns", appwrapper=True) captured = capsys.readouterr() assert captured.out == ( - "╭──────────────────────────╮\n" - "│ 🚀 Cluster Queue Status │\n" - "│ 🚀 │\n" - "│ +------------+---------+ │\n" - "│ | Name | Status | │\n" - "│ +============+=========+ │\n" - "│ | quicktest1 | running | │\n" - "│ | | | │\n" - "│ | quicktest2 | pending | │\n" - "│ | | | │\n" - "│ +------------+---------+ │\n" - "╰──────────────────────────╯\n" + "╭────────────────────────────╮\n" + "│ 🚀 Cluster Queue Status │\n" + "│ 🚀 │\n" + "│ +------------+-----------+ │\n" + "│ | Name | Status | │\n" + "│ +============+===========+ │\n" + "│ | quicktest1 | running | │\n" + "│ | | | │\n" + "│ | quicktest2 | suspended | │\n" + "│ | | | │\n" + "│ +------------+-----------+ │\n" + "╰────────────────────────────╯\n" ) @@ -2747,9 +2266,11 @@ def test_list_queue_rayclusters(mocker, capsys): def test_cluster_status(mocker): mocker.patch("kubernetes.client.ApisApi.get_api_versions") mocker.patch("kubernetes.config.load_kube_config", return_value="ignore") - fake_aw = AppWrapper( - "test", AppWrapperStatus.FAILED, can_run=True, job_state="unused" + mocker.patch( + "codeflare_sdk.utils.generate_yaml.local_queue_exists", + return_value="true", ) + fake_aw = AppWrapper("test", AppWrapperStatus.FAILED) fake_ray = RayCluster( name="test", status=RayClusterStatus.UNKNOWN, @@ -2770,7 +2291,8 @@ def test_cluster_status(mocker): namespace="ns", image="quay.io/project-codeflare/ray:latest-py39-cu118", write_to_file=True, - mcad=True, + appwrapper=True, + local_queue="local_default_queue", ) ) mocker.patch("codeflare_sdk.cluster.cluster._app_wrapper_status", return_value=None) @@ -2786,29 +2308,24 @@ def test_cluster_status(mocker): assert status == CodeFlareClusterStatus.FAILED assert ready == False - fake_aw.status = AppWrapperStatus.DELETED - status, ready = cf.status() - assert status == CodeFlareClusterStatus.FAILED - assert ready == False - - fake_aw.status = AppWrapperStatus.PENDING + fake_aw.status = AppWrapperStatus.SUSPENDED status, ready = cf.status() assert status == CodeFlareClusterStatus.QUEUED assert ready == False - fake_aw.status = AppWrapperStatus.COMPLETED + fake_aw.status = AppWrapperStatus.RESUMING status, ready = cf.status() assert status == CodeFlareClusterStatus.STARTING assert ready == False - fake_aw.status = AppWrapperStatus.RUNNING_HOLD_COMPLETION + fake_aw.status = AppWrapperStatus.RESETTING status, ready = cf.status() assert status == CodeFlareClusterStatus.STARTING assert ready == False fake_aw.status = AppWrapperStatus.RUNNING status, ready = cf.status() - assert status == CodeFlareClusterStatus.STARTING + assert status == CodeFlareClusterStatus.UNKNOWN assert ready == False mocker.patch( @@ -2844,6 +2361,10 @@ def test_wait_ready(mocker, capsys): mocker.patch("kubernetes.config.load_kube_config", return_value="ignore") mocker.patch("codeflare_sdk.cluster.cluster._app_wrapper_status", return_value=None) mocker.patch("codeflare_sdk.cluster.cluster._ray_cluster_status", return_value=None) + mocker.patch( + "codeflare_sdk.utils.generate_yaml.local_queue_exists", + return_value="true", + ) mocker.patch.object( client.CustomObjectsApi, "list_namespaced_custom_object", @@ -2865,7 +2386,8 @@ def test_wait_ready(mocker, capsys): namespace="ns", image="quay.io/project-codeflare/ray:latest-py39-cu118", write_to_file=True, - mcad=True, + appwrapper=True, + local_queue="local-queue-default", ) ) try: @@ -2937,7 +2459,7 @@ def test_AWManager_creation(mocker): def arg_check_aw_apply_effect(group, version, namespace, plural, body, *args): assert group == "workload.codeflare.dev" - assert version == "v1beta1" + assert version == "v1beta2" assert namespace == "ns" assert plural == "appwrappers" with open(f"{aw_dir}test.yaml") as f: @@ -2948,7 +2470,7 @@ def arg_check_aw_apply_effect(group, version, namespace, plural, body, *args): def arg_check_aw_del_effect(group, version, namespace, plural, name, *args): assert group == "workload.codeflare.dev" - assert version == "v1beta1" + assert version == "v1beta2" assert namespace == "ns" assert plural == "appwrappers" assert name == "test" @@ -3255,7 +2777,6 @@ def test_rjc_list_jobs(ray_job_client, mocker): # Make sure to always keep this function last def test_cleanup(): os.remove(f"{aw_dir}unit-test-cluster.yaml") - os.remove(f"{aw_dir}prio-test-cluster.yaml") os.remove(f"{aw_dir}test.yaml") os.remove(f"{aw_dir}raytest2.yaml") os.remove(f"{aw_dir}unit-test-cluster-ray.yaml") diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index 329df45e..baa14aac 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -14,8 +14,7 @@ def createClusterConfig(): min_memory=5, max_memory=6, num_gpus=7, - mcad=True, - instascale=True, + appwrapper=True, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], image="quay.io/project-codeflare/ray:latest-py39-cu118", From 23e30e335a7a9cf077252ab9d258b253a75429ac Mon Sep 17 00:00:00 2001 From: codeflare-machine-account <138894154+codeflare-machine-account@users.noreply.github.com> Date: Thu, 6 Jun 2024 09:24:49 -0400 Subject: [PATCH 009/254] Changes in docs for release: v0.16.3 (#555) Co-authored-by: codeflare-machine-account --- .../cluster/awload.html | 12 +- .../cluster/cluster.html | 269 +++------- .../cluster/config.html | 24 +- .../detailed-documentation/cluster/model.html | 79 ++- .../utils/generate_yaml.html | 498 ++++-------------- 5 files changed, 220 insertions(+), 662 deletions(-) diff --git a/docs/detailed-documentation/cluster/awload.html b/docs/detailed-documentation/cluster/awload.html index 57b407e8..297ebc02 100644 --- a/docs/detailed-documentation/cluster/awload.html +++ b/docs/detailed-documentation/cluster/awload.html @@ -93,7 +93,7 @@

Module codeflare_sdk.cluster.awload

api_instance = client.CustomObjectsApi(api_config_handler()) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=self.namespace, plural="appwrappers", body=self.awyaml, @@ -118,7 +118,7 @@

Module codeflare_sdk.cluster.awload

api_instance = client.CustomObjectsApi(api_config_handler()) api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=self.namespace, plural="appwrappers", name=self.name, @@ -187,7 +187,7 @@

Classes

api_instance = client.CustomObjectsApi(api_config_handler()) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=self.namespace, plural="appwrappers", body=self.awyaml, @@ -212,7 +212,7 @@

Classes

api_instance = client.CustomObjectsApi(api_config_handler()) api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=self.namespace, plural="appwrappers", name=self.name, @@ -249,7 +249,7 @@

Methods

api_instance = client.CustomObjectsApi(api_config_handler()) api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=self.namespace, plural="appwrappers", name=self.name, @@ -279,7 +279,7 @@

Methods

api_instance = client.CustomObjectsApi(api_config_handler()) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=self.namespace, plural="appwrappers", body=self.awyaml, diff --git a/docs/detailed-documentation/cluster/cluster.html b/docs/detailed-documentation/cluster/cluster.html index 07aea536..7544b4d5 100644 --- a/docs/detailed-documentation/cluster/cluster.html +++ b/docs/detailed-documentation/cluster/cluster.html @@ -135,26 +135,6 @@

Module codeflare_sdk.cluster.cluster

) return self._job_submission_client - def evaluate_dispatch_priority(self): - priority_class = self.config.dispatch_priority - - try: - config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) - priority_classes = api_instance.list_cluster_custom_object( - group="scheduling.k8s.io", - version="v1", - plural="priorityclasses", - ) - except Exception as e: # pragma: no cover - return _kube_api_error_handling(e) - - for pc in priority_classes["items"]: - if pc["metadata"]["name"] == priority_class: - return pc["value"] - print(f"Priority class {priority_class} is not available in the cluster") - return None - def validate_image_config(self): """ Validates that the image configuration is not empty. @@ -184,18 +164,6 @@

Module codeflare_sdk.cluster.cluster

self.validate_image_config() # Before attempting to create the cluster AW, let's evaluate the ClusterConfig - if self.config.dispatch_priority: - if not self.config.mcad: - raise ValueError( - "Invalid Cluster Configuration, cannot have dispatch priority without MCAD" - ) - priority_val = self.evaluate_dispatch_priority() - if priority_val == None: - raise ValueError( - "Invalid Cluster Configuration, AppWrapper not generated" - ) - else: - priority_val = None name = self.config.name namespace = self.config.namespace @@ -210,12 +178,10 @@

Module codeflare_sdk.cluster.cluster

workers = self.config.num_workers template = self.config.template image = self.config.image - instascale = self.config.instascale - mcad = self.config.mcad + appwrapper = self.config.appwrapper instance_types = self.config.machine_types env = self.config.envs image_pull_secrets = self.config.image_pull_secrets - dispatch_priority = self.config.dispatch_priority write_to_file = self.config.write_to_file verify_tls = self.config.verify_tls local_queue = self.config.local_queue @@ -234,13 +200,10 @@

Module codeflare_sdk.cluster.cluster

workers=workers, template=template, image=image, - instascale=instascale, - mcad=mcad, + appwrapper=appwrapper, instance_types=instance_types, env=env, image_pull_secrets=image_pull_secrets, - dispatch_priority=dispatch_priority, - priority_val=priority_val, write_to_file=write_to_file, verify_tls=verify_tls, local_queue=local_queue, @@ -262,13 +225,13 @@

Module codeflare_sdk.cluster.cluster

try: config_check() api_instance = client.CustomObjectsApi(api_config_handler()) - if self.config.mcad: + if self.config.appwrapper: if self.config.write_to_file: with open(self.app_wrapper_yaml) as f: aw = yaml.load(f, Loader=yaml.FullLoader) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", body=aw, @@ -277,7 +240,7 @@

Module codeflare_sdk.cluster.cluster

aw = yaml.safe_load(self.app_wrapper_yaml) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", body=aw, @@ -316,10 +279,10 @@

Module codeflare_sdk.cluster.cluster

try: config_check() api_instance = client.CustomObjectsApi(api_config_handler()) - if self.config.mcad: + if self.config.appwrapper: api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", name=self.app_wrapper_name, @@ -338,30 +301,28 @@

Module codeflare_sdk.cluster.cluster

""" ready = False status = CodeFlareClusterStatus.UNKNOWN - if self.config.mcad: + if self.config.appwrapper: # check the app wrapper status appwrapper = _app_wrapper_status(self.config.name, self.config.namespace) if appwrapper: if appwrapper.status in [ - AppWrapperStatus.RUNNING, - AppWrapperStatus.COMPLETED, - AppWrapperStatus.RUNNING_HOLD_COMPLETION, + AppWrapperStatus.RESUMING, + AppWrapperStatus.RESETTING, ]: ready = False status = CodeFlareClusterStatus.STARTING elif appwrapper.status in [ AppWrapperStatus.FAILED, - AppWrapperStatus.DELETED, ]: ready = False status = CodeFlareClusterStatus.FAILED # should deleted be separate return status, ready # exit early, no need to check ray status elif appwrapper.status in [ - AppWrapperStatus.PENDING, - AppWrapperStatus.QUEUEING, + AppWrapperStatus.SUSPENDED, + AppWrapperStatus.SUSPENDING, ]: ready = False - if appwrapper.status == AppWrapperStatus.PENDING: + if appwrapper.status == AppWrapperStatus.SUSPENDED: status = CodeFlareClusterStatus.QUEUED else: status = CodeFlareClusterStatus.QUEUEING @@ -533,7 +494,7 @@

Module codeflare_sdk.cluster.cluster

def from_k8_cluster_object( rc, - mcad=True, + appwrapper=True, write_to_file=False, verify_tls=True, ): @@ -566,11 +527,10 @@

Module codeflare_sdk.cluster.cluster

"resources" ]["limits"]["nvidia.com/gpu"] ), - instascale=True if machine_types else False, image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ 0 ]["image"], - mcad=mcad, + appwrapper=appwrapper, write_to_file=write_to_file, verify_tls=verify_tls, local_queue=rc["metadata"] @@ -629,15 +589,15 @@

Module codeflare_sdk.cluster.cluster

return clusters -def list_all_queued(namespace: str, print_to_console: bool = True, mcad: bool = False): +def list_all_queued( + namespace: str, print_to_console: bool = True, appwrapper: bool = False +): """ Returns (and prints by default) a list of all currently queued-up Ray Clusters in a given namespace. """ - if mcad: - resources = _get_app_wrappers( - namespace, filter=[AppWrapperStatus.RUNNING, AppWrapperStatus.PENDING] - ) + if appwrapper: + resources = _get_app_wrappers(namespace, filter=[AppWrapperStatus.SUSPENDED]) if print_to_console: pretty_print.print_app_wrappers_status(resources) else: @@ -707,10 +667,10 @@

Module codeflare_sdk.cluster.cluster

for rc in rcs["items"]: if rc["metadata"]["name"] == cluster_name: - mcad = _check_aw_exists(cluster_name, namespace) + appwrapper = _check_aw_exists(cluster_name, namespace) return Cluster.from_k8_cluster_object( rc, - mcad=mcad, + appwrapper=appwrapper, write_to_file=write_to_file, verify_tls=verify_tls, ) @@ -753,7 +713,7 @@

Module codeflare_sdk.cluster.cluster

api_instance = client.CustomObjectsApi(api_config_handler()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", ) @@ -813,7 +773,7 @@

Module codeflare_sdk.cluster.cluster

api_instance = client.CustomObjectsApi(api_config_handler()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", ) @@ -883,7 +843,7 @@

Module codeflare_sdk.cluster.cluster

api_instance = client.CustomObjectsApi(api_config_handler()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", - version="v1beta1", + version="v1beta2", namespace=namespace, plural="appwrappers", ) @@ -977,18 +937,14 @@

Module codeflare_sdk.cluster.cluster

def _map_to_app_wrapper(aw) -> AppWrapper: - if "status" in aw and "canrun" in aw["status"]: + if "status" in aw: return AppWrapper( name=aw["metadata"]["name"], - status=AppWrapperStatus(aw["status"]["state"].lower()), - can_run=aw["status"]["canrun"], - job_state=aw["status"]["queuejobstate"], + status=AppWrapperStatus(aw["status"]["phase"].lower()), ) return AppWrapper( name=aw["metadata"]["name"], - status=AppWrapperStatus("queueing"), - can_run=False, - job_state="Still adding to queue", + status=AppWrapperStatus("suspended"), ) @@ -1048,10 +1004,10 @@

Functions

for rc in rcs["items"]: if rc["metadata"]["name"] == cluster_name: - mcad = _check_aw_exists(cluster_name, namespace) + appwrapper = _check_aw_exists(cluster_name, namespace) return Cluster.from_k8_cluster_object( rc, - mcad=mcad, + appwrapper=appwrapper, write_to_file=write_to_file, verify_tls=verify_tls, ) @@ -1127,7 +1083,7 @@

Functions

-def list_all_queued(namespace: str, print_to_console: bool = True, mcad: bool = False) +def list_all_queued(namespace: str, print_to_console: bool = True, appwrapper: bool = False)

Returns (and prints by default) a list of all currently queued-up Ray Clusters @@ -1136,15 +1092,15 @@

Functions

Expand source code -
def list_all_queued(namespace: str, print_to_console: bool = True, mcad: bool = False):
+
def list_all_queued(
+    namespace: str, print_to_console: bool = True, appwrapper: bool = False
+):
     """
     Returns (and prints by default) a list of all currently queued-up Ray Clusters
     in a given namespace.
     """
-    if mcad:
-        resources = _get_app_wrappers(
-            namespace, filter=[AppWrapperStatus.RUNNING, AppWrapperStatus.PENDING]
-        )
+    if appwrapper:
+        resources = _get_app_wrappers(namespace, filter=[AppWrapperStatus.SUSPENDED])
         if print_to_console:
             pretty_print.print_app_wrappers_status(resources)
     else:
@@ -1229,26 +1185,6 @@ 
Classes

             )
         return self._job_submission_client
 
-    def evaluate_dispatch_priority(self):
-        priority_class = self.config.dispatch_priority
-
-        try:
-            config_check()
-            api_instance = client.CustomObjectsApi(api_config_handler())
-            priority_classes = api_instance.list_cluster_custom_object(
-                group="scheduling.k8s.io",
-                version="v1",
-                plural="priorityclasses",
-            )
-        except Exception as e:  # pragma: no cover
-            return _kube_api_error_handling(e)
-
-        for pc in priority_classes["items"]:
-            if pc["metadata"]["name"] == priority_class:
-                return pc["value"]
-        print(f"Priority class {priority_class} is not available in the cluster")
-        return None
-
     def validate_image_config(self):
         """
         Validates that the image configuration is not empty.
@@ -1278,18 +1214,6 @@ 
Classes

         self.validate_image_config()
 
         # Before attempting to create the cluster AW, let's evaluate the ClusterConfig
-        if self.config.dispatch_priority:
-            if not self.config.mcad:
-                raise ValueError(
-                    "Invalid Cluster Configuration, cannot have dispatch priority without MCAD"
-                )
-            priority_val = self.evaluate_dispatch_priority()
-            if priority_val == None:
-                raise ValueError(
-                    "Invalid Cluster Configuration, AppWrapper not generated"
-                )
-        else:
-            priority_val = None
 
         name = self.config.name
         namespace = self.config.namespace
@@ -1304,12 +1228,10 @@ 
Classes

         workers = self.config.num_workers
         template = self.config.template
         image = self.config.image
-        instascale = self.config.instascale
-        mcad = self.config.mcad
+        appwrapper = self.config.appwrapper
         instance_types = self.config.machine_types
         env = self.config.envs
         image_pull_secrets = self.config.image_pull_secrets
-        dispatch_priority = self.config.dispatch_priority
         write_to_file = self.config.write_to_file
         verify_tls = self.config.verify_tls
         local_queue = self.config.local_queue
@@ -1328,13 +1250,10 @@ 
Classes

             workers=workers,
             template=template,
             image=image,
-            instascale=instascale,
-            mcad=mcad,
+            appwrapper=appwrapper,
             instance_types=instance_types,
             env=env,
             image_pull_secrets=image_pull_secrets,
-            dispatch_priority=dispatch_priority,
-            priority_val=priority_val,
             write_to_file=write_to_file,
             verify_tls=verify_tls,
             local_queue=local_queue,
@@ -1356,13 +1275,13 @@ 
Classes

         try:
             config_check()
             api_instance = client.CustomObjectsApi(api_config_handler())
-            if self.config.mcad:
+            if self.config.appwrapper:
                 if self.config.write_to_file:
                     with open(self.app_wrapper_yaml) as f:
                         aw = yaml.load(f, Loader=yaml.FullLoader)
                         api_instance.create_namespaced_custom_object(
                             group="workload.codeflare.dev",
-                            version="v1beta1",
+                            version="v1beta2",
                             namespace=namespace,
                             plural="appwrappers",
                             body=aw,
@@ -1371,7 +1290,7 @@ 
Classes

                     aw = yaml.safe_load(self.app_wrapper_yaml)
                     api_instance.create_namespaced_custom_object(
                         group="workload.codeflare.dev",
-                        version="v1beta1",
+                        version="v1beta2",
                         namespace=namespace,
                         plural="appwrappers",
                         body=aw,
@@ -1410,10 +1329,10 @@ 
Classes

         try:
             config_check()
             api_instance = client.CustomObjectsApi(api_config_handler())
-            if self.config.mcad:
+            if self.config.appwrapper:
                 api_instance.delete_namespaced_custom_object(
                     group="workload.codeflare.dev",
-                    version="v1beta1",
+                    version="v1beta2",
                     namespace=namespace,
                     plural="appwrappers",
                     name=self.app_wrapper_name,
@@ -1432,30 +1351,28 @@ 
Classes

         """
         ready = False
         status = CodeFlareClusterStatus.UNKNOWN
-        if self.config.mcad:
+        if self.config.appwrapper:
             # check the app wrapper status
             appwrapper = _app_wrapper_status(self.config.name, self.config.namespace)
             if appwrapper:
                 if appwrapper.status in [
-                    AppWrapperStatus.RUNNING,
-                    AppWrapperStatus.COMPLETED,
-                    AppWrapperStatus.RUNNING_HOLD_COMPLETION,
+                    AppWrapperStatus.RESUMING,
+                    AppWrapperStatus.RESETTING,
                 ]:
                     ready = False
                     status = CodeFlareClusterStatus.STARTING
                 elif appwrapper.status in [
                     AppWrapperStatus.FAILED,
-                    AppWrapperStatus.DELETED,
                 ]:
                     ready = False
                     status = CodeFlareClusterStatus.FAILED  # should deleted be separate
                     return status, ready  # exit early, no need to check ray status
                 elif appwrapper.status in [
-                    AppWrapperStatus.PENDING,
-                    AppWrapperStatus.QUEUEING,
+                    AppWrapperStatus.SUSPENDED,
+                    AppWrapperStatus.SUSPENDING,
                 ]:
                     ready = False
-                    if appwrapper.status == AppWrapperStatus.PENDING:
+                    if appwrapper.status == AppWrapperStatus.SUSPENDED:
                         status = CodeFlareClusterStatus.QUEUED
                     else:
                         status = CodeFlareClusterStatus.QUEUEING
@@ -1627,7 +1544,7 @@ 
Classes

 
     def from_k8_cluster_object(
         rc,
-        mcad=True,
+        appwrapper=True,
         write_to_file=False,
         verify_tls=True,
     ):
@@ -1660,11 +1577,10 @@ 
Classes

                     "resources"
                 ]["limits"]["nvidia.com/gpu"]
             ),
-            instascale=True if machine_types else False,
             image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][
                 0
             ]["image"],
-            mcad=mcad,
+            appwrapper=appwrapper,
             write_to_file=write_to_file,
             verify_tls=verify_tls,
             local_queue=rc["metadata"]
@@ -1845,18 +1761,6 @@ 
Methods

     self.validate_image_config()
 
     # Before attempting to create the cluster AW, let's evaluate the ClusterConfig
-    if self.config.dispatch_priority:
-        if not self.config.mcad:
-            raise ValueError(
-                "Invalid Cluster Configuration, cannot have dispatch priority without MCAD"
-            )
-        priority_val = self.evaluate_dispatch_priority()
-        if priority_val == None:
-            raise ValueError(
-                "Invalid Cluster Configuration, AppWrapper not generated"
-            )
-    else:
-        priority_val = None
 
     name = self.config.name
     namespace = self.config.namespace
@@ -1871,12 +1775,10 @@ 
Methods

     workers = self.config.num_workers
     template = self.config.template
     image = self.config.image
-    instascale = self.config.instascale
-    mcad = self.config.mcad
+    appwrapper = self.config.appwrapper
     instance_types = self.config.machine_types
     env = self.config.envs
     image_pull_secrets = self.config.image_pull_secrets
-    dispatch_priority = self.config.dispatch_priority
     write_to_file = self.config.write_to_file
     verify_tls = self.config.verify_tls
     local_queue = self.config.local_queue
@@ -1895,13 +1797,10 @@ 
Methods

         workers=workers,
         template=template,
         image=image,
-        instascale=instascale,
-        mcad=mcad,
+        appwrapper=appwrapper,
         instance_types=instance_types,
         env=env,
         image_pull_secrets=image_pull_secrets,
-        dispatch_priority=dispatch_priority,
-        priority_val=priority_val,
         write_to_file=write_to_file,
         verify_tls=verify_tls,
         local_queue=local_queue,
@@ -1945,10 +1844,10 @@ 
Methods

     try:
         config_check()
         api_instance = client.CustomObjectsApi(api_config_handler())
-        if self.config.mcad:
+        if self.config.appwrapper:
             api_instance.delete_namespaced_custom_object(
                 group="workload.codeflare.dev",
-                version="v1beta1",
+                version="v1beta2",
                 namespace=namespace,
                 plural="appwrappers",
                 name=self.app_wrapper_name,
@@ -1959,38 +1858,8 @@ 
Methods

         return _kube_api_error_handling(e)
-
-def evaluate_dispatch_priority(self) -
-
-
-
- -Expand source code - -
def evaluate_dispatch_priority(self):
-    priority_class = self.config.dispatch_priority
-
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(api_config_handler())
-        priority_classes = api_instance.list_cluster_custom_object(
-            group="scheduling.k8s.io",
-            version="v1",
-            plural="priorityclasses",
-        )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-
-    for pc in priority_classes["items"]:
-        if pc["metadata"]["name"] == priority_class:
-            return pc["value"]
-    print(f"Priority class {priority_class} is not available in the cluster")
-    return None
-
-
-def from_k8_cluster_object(rc, mcad=True, write_to_file=False, verify_tls=True) +def from_k8_cluster_object(rc, appwrapper=True, write_to_file=False, verify_tls=True)
@@ -2000,7 +1869,7 @@

Methods

def from_k8_cluster_object(
     rc,
-    mcad=True,
+    appwrapper=True,
     write_to_file=False,
     verify_tls=True,
 ):
@@ -2033,11 +1902,10 @@ 
Methods

                 "resources"
             ]["limits"]["nvidia.com/gpu"]
         ),
-        instascale=True if machine_types else False,
         image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][
             0
         ]["image"],
-        mcad=mcad,
+        appwrapper=appwrapper,
         write_to_file=write_to_file,
         verify_tls=verify_tls,
         local_queue=rc["metadata"]
@@ -2154,30 +2022,28 @@ 
Methods

     """
     ready = False
     status = CodeFlareClusterStatus.UNKNOWN
-    if self.config.mcad:
+    if self.config.appwrapper:
         # check the app wrapper status
         appwrapper = _app_wrapper_status(self.config.name, self.config.namespace)
         if appwrapper:
             if appwrapper.status in [
-                AppWrapperStatus.RUNNING,
-                AppWrapperStatus.COMPLETED,
-                AppWrapperStatus.RUNNING_HOLD_COMPLETION,
+                AppWrapperStatus.RESUMING,
+                AppWrapperStatus.RESETTING,
             ]:
                 ready = False
                 status = CodeFlareClusterStatus.STARTING
             elif appwrapper.status in [
                 AppWrapperStatus.FAILED,
-                AppWrapperStatus.DELETED,
             ]:
                 ready = False
                 status = CodeFlareClusterStatus.FAILED  # should deleted be separate
                 return status, ready  # exit early, no need to check ray status
             elif appwrapper.status in [
-                AppWrapperStatus.PENDING,
-                AppWrapperStatus.QUEUEING,
+                AppWrapperStatus.SUSPENDED,
+                AppWrapperStatus.SUSPENDING,
             ]:
                 ready = False
-                if appwrapper.status == AppWrapperStatus.PENDING:
+                if appwrapper.status == AppWrapperStatus.SUSPENDED:
                     status = CodeFlareClusterStatus.QUEUED
                 else:
                     status = CodeFlareClusterStatus.QUEUEING
@@ -2244,13 +2110,13 @@ 
Methods

     try:
         config_check()
         api_instance = client.CustomObjectsApi(api_config_handler())
-        if self.config.mcad:
+        if self.config.appwrapper:
             if self.config.write_to_file:
                 with open(self.app_wrapper_yaml) as f:
                     aw = yaml.load(f, Loader=yaml.FullLoader)
                     api_instance.create_namespaced_custom_object(
                         group="workload.codeflare.dev",
-                        version="v1beta1",
+                        version="v1beta2",
                         namespace=namespace,
                         plural="appwrappers",
                         body=aw,
@@ -2259,7 +2125,7 @@ 
Methods

                 aw = yaml.safe_load(self.app_wrapper_yaml)
                 api_instance.create_namespaced_custom_object(
                     group="workload.codeflare.dev",
-                    version="v1beta1",
+                    version="v1beta2",
                     namespace=namespace,
                     plural="appwrappers",
                     body=aw,
@@ -2371,7 +2237,6 @@ 
create_app_wrapper
 
  • details
    • 
 
  • down
    • 
-
  • evaluate_dispatch_priority
    • 
 
  • from_k8_cluster_object
    • 
 
  • is_dashboard_ready
    • 
 
  • job_client
    • 
diff --git a/docs/detailed-documentation/cluster/config.html b/docs/detailed-documentation/cluster/config.html
index 1879afaf..4ce9dcdd 100644
--- a/docs/detailed-documentation/cluster/config.html
+++ b/docs/detailed-documentation/cluster/config.html
@@ -78,12 +78,10 @@ 
    Module codeflare_sdk.cluster.config
    
     max_memory: typing.Union[int, str] = 2
     num_gpus: int = 0
     template: str = f"{dir}/templates/base-template.yaml"
-    instascale: bool = False
-    mcad: bool = False
+    appwrapper: bool = False
     envs: dict = field(default_factory=dict)
     image: str = ""
     image_pull_secrets: list = field(default_factory=list)
-    dispatch_priority: str = None
     write_to_file: bool = False
     verify_tls: bool = True
     labels: dict = field(default_factory=dict)
@@ -126,7 +124,7 @@ 
    Classes
    
 
    
 
    
 class ClusterConfiguration
-(name: str, namespace: str = None, head_info: list = <factory>, head_cpus: Union[int, str] = 2, head_memory: Union[int, str] = 8, head_gpus: int = 0, machine_types: list = <factory>, min_cpus: Union[int, str] = 1, max_cpus: Union[int, str] = 1, num_workers: int = 1, min_memory: Union[int, str] = 2, max_memory: Union[int, str] = 2, num_gpus: int = 0, template: str = '/home/runner/work/codeflare-sdk/codeflare-sdk/src/codeflare_sdk/templates/base-template.yaml', instascale: bool = False, mcad: bool = False, envs: dict = <factory>, image: str = '', image_pull_secrets: list = <factory>, dispatch_priority: str = None, write_to_file: bool = False, verify_tls: bool = True, labels: dict = <factory>, local_queue: str = None)
+(name: str, namespace: str = None, head_info: list = <factory>, head_cpus: Union[int, str] = 2, head_memory: Union[int, str] = 8, head_gpus: int = 0, machine_types: list = <factory>, min_cpus: Union[int, str] = 1, max_cpus: Union[int, str] = 1, num_workers: int = 1, min_memory: Union[int, str] = 2, max_memory: Union[int, str] = 2, num_gpus: int = 0, template: str = '/home/runner/work/codeflare-sdk/codeflare-sdk/src/codeflare_sdk/templates/base-template.yaml', appwrapper: bool = False, envs: dict = <factory>, image: str = '', image_pull_secrets: list = <factory>, write_to_file: bool = False, verify_tls: bool = True, labels: dict = <factory>, local_queue: str = None)
 
    
 
    
 
    This dataclass is used to specify resource requirements and other details, and
@@ -155,12 +153,10 @@ 
    Classes
    
     max_memory: typing.Union[int, str] = 2
     num_gpus: int = 0
     template: str = f"{dir}/templates/base-template.yaml"
-    instascale: bool = False
-    mcad: bool = False
+    appwrapper: bool = False
     envs: dict = field(default_factory=dict)
     image: str = ""
     image_pull_secrets: list = field(default_factory=list)
-    dispatch_priority: str = None
     write_to_file: bool = False
     verify_tls: bool = True
     labels: dict = field(default_factory=dict)
@@ -193,7 +189,7 @@ 
    Classes
    
 
 
    Class variables
    
 
    
-
    var dispatch_priority : str
    
+
    var appwrapper : bool
    
 
    
 
    
 
    
@@ -225,10 +221,6 @@ 
    Class variables
    
 
    
 
    
 
    
-
    var instascale : bool
    
-
    
-
    
-
    
 
    var labels : dict
    
 
    
 
    
@@ -249,10 +241,6 @@ 
    Class variables
    
 
    
 
    
 
    
-
    var mcad : bool
    
-
    
-
    
-
    
 
    var min_cpus : Union[int, str]
    
 
    
 
    
@@ -310,7 +298,7 @@ 
    Index
    
 
  • 
 
    ClusterConfiguration
    
 
      
-
    • dispatch_priority
      • 
+
    • appwrapper
      • 
 
    • envs
      • 
 
    • head_cpus
      • 
 
    • head_gpus
      • 
@@ -318,13 +306,11 @@ 
      head_memory
 
    • image
      • 
 
    • image_pull_secrets
      • 
-
    • instascale
      • 
 
    • labels
      • 
 
    • local_queue
      • 
 
    • machine_types
      • 
 
    • max_cpus
      • 
 
    • max_memory
      • 
-
    • mcad
      • 
 
    • min_cpus
      • 
 
    • min_memory
      • 
 
    • name
      • 
diff --git a/docs/detailed-documentation/cluster/model.html b/docs/detailed-documentation/cluster/model.html
index 3843f545..d69357e1 100644
--- a/docs/detailed-documentation/cluster/model.html
+++ b/docs/detailed-documentation/cluster/model.html
@@ -70,16 +70,17 @@ 
      Module codeflare_sdk.cluster.model
      
 
 class AppWrapperStatus(Enum):
     """
-    Defines the possible reportable states of an AppWrapper.
+    Defines the possible reportable phases of an AppWrapper.
     """
 
-    QUEUEING = "queueing"
-    PENDING = "pending"
+    SUSPENDED = "suspended"
+    RESUMING = "resuming"
     RUNNING = "running"
+    RESETTING = "resetting"
+    SUSPENDING = "suspending"
+    SUCCEEDED = "succeeded"
     FAILED = "failed"
-    DELETED = "deleted"
-    COMPLETED = "completed"
-    RUNNING_HOLD_COMPLETION = "runningholdcompletion"
+    TERMINATING = "terminating"
 
 
 class CodeFlareClusterStatus(Enum):
@@ -123,9 +124,7 @@ 
      Module codeflare_sdk.cluster.model
      
     """
 
     name: str
-    status: AppWrapperStatus
-    can_run: bool
-    job_state: str
    • + status: AppWrapperStatus
    @@ -139,7 +138,7 @@

    Classes

    class AppWrapper -(name: str, status: AppWrapperStatus, can_run: bool, job_state: str) +(name: str, status: AppWrapperStatus)

    For storing information about an AppWrapper.

    @@ -153,20 +152,10 @@

    Classes

    """ name: str - status: AppWrapperStatus - can_run: bool - job_state: str + status: AppWrapperStatus

    Class variables

    -
    var can_run : bool
    -
    -
    -
    -
    var job_state : str
    -
    -
    -
    var name : str
    @@ -182,23 +171,24 @@

    Class variables

    (value, names=None, *, module=None, qualname=None, type=None, start=1)
    -

    Defines the possible reportable states of an AppWrapper.

    +

    Defines the possible reportable phases of an AppWrapper.

    Expand source code 
    class AppWrapperStatus(Enum):
     """
-    Defines the possible reportable states of an AppWrapper.
+    Defines the possible reportable phases of an AppWrapper.
     """
 
-    QUEUEING = "queueing"
-    PENDING = "pending"
+    SUSPENDED = "suspended"
+    RESUMING = "resuming"
     RUNNING = "running"
+    RESETTING = "resetting"
+    SUSPENDING = "suspending"
+    SUCCEEDED = "succeeded"
     FAILED = "failed"
-    DELETED = "deleted"
-    COMPLETED = "completed"
-    RUNNING_HOLD_COMPLETION = "runningholdcompletion"
    + TERMINATING = "terminating"

    Ancestors

      @@ -206,31 +196,35 @@

      Ancestors

    Class variables

    -
    var COMPLETED
    +
    var FAILED
    -
    var DELETED
    +
    var RESETTING
    -
    var FAILED
    +
    var RESUMING
    -
    var PENDING
    +
    var RUNNING
    -
    var QUEUEING
    +
    var SUCCEEDED
    -
    var RUNNING
    +
    var SUSPENDED
    +
    +
    +
    +
    var SUSPENDING
    -
    var RUNNING_HOLD_COMPLETION
    +
    var TERMINATING
    @@ -444,22 +438,21 @@

    Index

  • AppWrapper

  • AppWrapperStatus

    -
      -
    • COMPLETED
      • -
    • DELETED
      • +
    • diff --git a/docs/detailed-documentation/utils/generate_yaml.html b/docs/detailed-documentation/utils/generate_yaml.html index b2a3af84..5ee410ce 100644 --- a/docs/detailed-documentation/utils/generate_yaml.html +++ b/docs/detailed-documentation/utils/generate_yaml.html @@ -112,109 +112,11 @@

      Module codeflare_sdk.utils.generate_yaml

      metadata = yaml.get("metadata") metadata["name"] = appwrapper_name metadata["namespace"] = namespace - lower_meta = item.get("generictemplate", {}).get("metadata") - lower_meta["labels"]["workload.codeflare.dev/appwrapper"] = appwrapper_name + lower_meta = item.get("template", {}).get("metadata") lower_meta["name"] = cluster_name lower_meta["namespace"] = namespace -def update_labels(yaml, instascale, instance_types): - metadata = yaml.get("metadata") - if instascale: - if not len(instance_types) > 0: - sys.exit( - "If instascale is set to true, must provide at least one instance type" - ) - type_str = "" - for type in instance_types: - type_str += type + "_" - type_str = type_str[:-1] - metadata["labels"]["orderedinstance"] = type_str - else: - metadata.pop("labels") - - -def update_priority(yaml, item, dispatch_priority, priority_val): - spec = yaml.get("spec") - if dispatch_priority is not None: - if priority_val: - spec["priority"] = priority_val - else: - raise ValueError( - "AW generation error: Priority value is None, while dispatch_priority is defined" - ) - head = item.get("generictemplate").get("spec").get("headGroupSpec") - worker = item.get("generictemplate").get("spec").get("workerGroupSpecs")[0] - head["template"]["spec"]["priorityClassName"] = dispatch_priority - worker["template"]["spec"]["priorityClassName"] = dispatch_priority - else: - spec.pop("priority") - - -def update_custompodresources( - item, - min_cpu, - max_cpu, - min_memory, - max_memory, - gpu, - workers, - head_cpus, - head_memory, - head_gpus, -): - if "custompodresources" in item.keys(): - custompodresources = item.get("custompodresources") - for i in range(len(custompodresources)): - resource = custompodresources[i] - if i == 0: - # Leave head node resources as template default - resource["requests"]["cpu"] = head_cpus - resource["limits"]["cpu"] = head_cpus - resource["requests"]["memory"] = head_memory - resource["limits"]["memory"] = head_memory - resource["requests"]["nvidia.com/gpu"] = head_gpus - resource["limits"]["nvidia.com/gpu"] = head_gpus - - else: - for k, v in resource.items(): - if k == "replicas" and i == 1: - resource[k] = workers - if k == "requests" or k == "limits": - for spec, _ in v.items(): - if spec == "cpu": - if k == "limits": - resource[k][spec] = max_cpu - else: - resource[k][spec] = min_cpu - if spec == "memory": - if k == "limits": - resource[k][spec] = max_memory - else: - resource[k][spec] = min_memory - if spec == "nvidia.com/gpu": - if i == 0: - resource[k][spec] = 0 - else: - resource[k][spec] = gpu - else: - sys.exit("Error: malformed template") - - -def update_affinity(spec, appwrapper_name, instascale): - if instascale: - node_selector_terms = ( - spec.get("affinity") - .get("nodeAffinity") - .get("requiredDuringSchedulingIgnoredDuringExecution") - .get("nodeSelectorTerms") - ) - node_selector_terms[0]["matchExpressions"][0]["values"][0] = appwrapper_name - node_selector_terms[0]["matchExpressions"][0]["key"] = appwrapper_name - else: - spec.pop("affinity") - - def update_image(spec, image): containers = spec.get("containers") for container in containers: @@ -263,18 +165,17 @@

      Module codeflare_sdk.utils.generate_yaml

      gpu, workers, image, - instascale, env, image_pull_secrets, head_cpus, head_memory, head_gpus, ): - if "generictemplate" in item.keys(): - head = item.get("generictemplate").get("spec").get("headGroupSpec") + if "template" in item.keys(): + head = item.get("template").get("spec").get("headGroupSpec") head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) - worker = item.get("generictemplate").get("spec").get("workerGroupSpecs")[0] + worker = item.get("template").get("spec").get("workerGroupSpecs")[0] # Head counts as first worker worker["replicas"] = workers worker["minReplicas"] = workers @@ -284,7 +185,6 @@

      Module codeflare_sdk.utils.generate_yaml

      for comp in [head, worker]: spec = comp.get("template").get("spec") - update_affinity(spec, appwrapper_name, instascale) update_image_pull_secrets(spec, image_pull_secrets) update_image(spec, image) update_env(spec, env) @@ -359,74 +259,52 @@

      Module codeflare_sdk.utils.generate_yaml

      return False +def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]): + lq_name = local_queue or get_default_kueue_name(namespace) + if not local_queue_exists(namespace, lq_name): + raise ValueError( + "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" + ) + if not "labels" in item["metadata"]: + item["metadata"]["labels"] = {} + item["metadata"]["labels"].update({"kueue.x-k8s.io/queue-name": lq_name}) + + +def augment_labels(item: dict, labels: dict): + if "template" in item: + if not "labels" in item["template"]["metadata"]: + item["template"]["metadata"]["labels"] = {} + item["template"]["metadata"]["labels"].update(labels) + + def write_components( user_yaml: dict, output_file_name: str, - namespace: str, - local_queue: Optional[str], - labels: dict, ): # Create the directory if it doesn't exist directory_path = os.path.dirname(output_file_name) if not os.path.exists(directory_path): os.makedirs(directory_path) - components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") + components = user_yaml.get("spec", "resources").get("components") open(output_file_name, "w").close() - lq_name = local_queue or get_default_kueue_name(namespace) - cluster_labels = labels - if not local_queue_exists(namespace, lq_name): - raise ValueError( - "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" - ) with open(output_file_name, "a") as outfile: for component in components: - if "generictemplate" in component: - if ( - "workload.codeflare.dev/appwrapper" - in component["generictemplate"]["metadata"]["labels"] - ): - del component["generictemplate"]["metadata"]["labels"][ - "workload.codeflare.dev/appwrapper" - ] - labels = component["generictemplate"]["metadata"]["labels"] - labels.update({"kueue.x-k8s.io/queue-name": lq_name}) - labels.update(cluster_labels) + if "template" in component: outfile.write("---\n") - yaml.dump( - component["generictemplate"], outfile, default_flow_style=False - ) + yaml.dump(component["template"], outfile, default_flow_style=False) print(f"Written to: {output_file_name}") def load_components( user_yaml: dict, name: str, - namespace: str, - local_queue: Optional[str], - labels: dict, ): component_list = [] - components = user_yaml.get("spec", "resources")["resources"].get("GenericItems") - lq_name = local_queue or get_default_kueue_name(namespace) - cluster_labels = labels - if not local_queue_exists(namespace, lq_name): - raise ValueError( - "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" - ) + components = user_yaml.get("spec", "resources").get("components") for component in components: - if "generictemplate" in component: - if ( - "workload.codeflare.dev/appwrapper" - in component["generictemplate"]["metadata"]["labels"] - ): - del component["generictemplate"]["metadata"]["labels"][ - "workload.codeflare.dev/appwrapper" - ] - labels = component["generictemplate"]["metadata"]["labels"] - labels.update({"kueue.x-k8s.io/queue-name": lq_name}) - labels.update(cluster_labels) - component_list.append(component["generictemplate"]) + if "template" in component: + component_list.append(component["template"]) resources = "---\n" + "---\n".join( [yaml.dump(component) for component in component_list] @@ -456,13 +334,10 @@

      Module codeflare_sdk.utils.generate_yaml

      workers: int, template: str, image: str, - instascale: bool, - mcad: bool, + appwrapper: bool, instance_types: list, env, image_pull_secrets: list, - dispatch_priority: str, - priority_val: int, write_to_file: bool, verify_tls: bool, local_queue: Optional[str], @@ -471,7 +346,7 @@

      Module codeflare_sdk.utils.generate_yaml

      user_yaml = read_template(template) appwrapper_name, cluster_name = gen_names(name) resources = user_yaml.get("spec", "resources") - item = resources["resources"].get("GenericItems")[0] + item = resources.get("components")[0] update_names( user_yaml, item, @@ -479,20 +354,6 @@

      Module codeflare_sdk.utils.generate_yaml

      cluster_name, namespace, ) - update_labels(user_yaml, instascale, instance_types) - update_priority(user_yaml, item, dispatch_priority, priority_val) - update_custompodresources( - item, - min_cpu, - max_cpu, - min_memory, - max_memory, - gpu, - workers, - head_cpus, - head_memory, - head_gpus, - ) update_nodes( item, appwrapper_name, @@ -503,7 +364,6 @@

      Module codeflare_sdk.utils.generate_yaml

      gpu, workers, image, - instascale, env, image_pull_secrets, head_cpus, @@ -511,20 +371,27 @@

      Module codeflare_sdk.utils.generate_yaml

      head_gpus, ) + augment_labels(item, labels) + + if appwrapper: + add_queue_label(user_yaml, namespace, local_queue) + else: + add_queue_label(item["template"], namespace, local_queue) + directory_path = os.path.expanduser("~/.codeflare/resources/") outfile = os.path.join(directory_path, appwrapper_name + ".yaml") if write_to_file: - if mcad: + if appwrapper: write_user_appwrapper(user_yaml, outfile) else: - write_components(user_yaml, outfile, namespace, local_queue, labels) + write_components(user_yaml, outfile) return outfile else: - if mcad: + if appwrapper: user_yaml = load_appwrapper(user_yaml, name) else: - user_yaml = load_components(user_yaml, name, namespace, local_queue, labels) + user_yaml = load_components(user_yaml, name) return user_yaml
    • @@ -535,6 +402,42 @@

    Module codeflare_sdk.utils.generate_yaml

    Functions

    +
    +def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]) +
    +
    +
    +
    + +Expand source code + +
    def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]):
+    lq_name = local_queue or get_default_kueue_name(namespace)
+    if not local_queue_exists(namespace, lq_name):
+        raise ValueError(
+            "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
+        )
+    if not "labels" in item["metadata"]:
+        item["metadata"]["labels"] = {}
+    item["metadata"]["labels"].update({"kueue.x-k8s.io/queue-name": lq_name})
    +
    +
    +
    +def augment_labels(item: dict, labels: dict) +
    +
    +
    +
    + +Expand source code + +
    def augment_labels(item: dict, labels: dict):
+    if "template" in item:
+        if not "labels" in item["template"]["metadata"]:
+            item["template"]["metadata"]["labels"] = {}
+    item["template"]["metadata"]["labels"].update(labels)
    +
    +
    def del_from_list_by_name(l: list, target: List[str]) ‑> list
    @@ -568,7 +471,7 @@

    Functions

    -def generate_appwrapper(name: str, namespace: str, head_cpus: int, head_memory: int, head_gpus: int, min_cpu: int, max_cpu: int, min_memory: int, max_memory: int, gpu: int, workers: int, template: str, image: str, instascale: bool, mcad: bool, instance_types: list, env, image_pull_secrets: list, dispatch_priority: str, priority_val: int, write_to_file: bool, verify_tls: bool, local_queue: Optional[str], labels) +def generate_appwrapper(name: str, namespace: str, head_cpus: int, head_memory: int, head_gpus: int, min_cpu: int, max_cpu: int, min_memory: int, max_memory: int, gpu: int, workers: int, template: str, image: str, appwrapper: bool, instance_types: list, env, image_pull_secrets: list, write_to_file: bool, verify_tls: bool, local_queue: Optional[str], labels)
    @@ -590,13 +493,10 @@

    Functions

    workers: int, template: str, image: str, - instascale: bool, - mcad: bool, + appwrapper: bool, instance_types: list, env, image_pull_secrets: list, - dispatch_priority: str, - priority_val: int, write_to_file: bool, verify_tls: bool, local_queue: Optional[str], @@ -605,7 +505,7 @@

    Functions

    user_yaml = read_template(template) appwrapper_name, cluster_name = gen_names(name) resources = user_yaml.get("spec", "resources") - item = resources["resources"].get("GenericItems")[0] + item = resources.get("components")[0] update_names( user_yaml, item, @@ -613,20 +513,6 @@

    Functions

    cluster_name, namespace, ) - update_labels(user_yaml, instascale, instance_types) - update_priority(user_yaml, item, dispatch_priority, priority_val) - update_custompodresources( - item, - min_cpu, - max_cpu, - min_memory, - max_memory, - gpu, - workers, - head_cpus, - head_memory, - head_gpus, - ) update_nodes( item, appwrapper_name, @@ -637,7 +523,6 @@

    Functions

    gpu, workers, image, - instascale, env, image_pull_secrets, head_cpus, @@ -645,20 +530,27 @@

    Functions

    head_gpus, ) + augment_labels(item, labels) + + if appwrapper: + add_queue_label(user_yaml, namespace, local_queue) + else: + add_queue_label(item["template"], namespace, local_queue) + directory_path = os.path.expanduser("~/.codeflare/resources/") outfile = os.path.join(directory_path, appwrapper_name + ".yaml") if write_to_file: - if mcad: + if appwrapper: write_user_appwrapper(user_yaml, outfile) else: - write_components(user_yaml, outfile, namespace, local_queue, labels) + write_components(user_yaml, outfile) return outfile else: - if mcad: + if appwrapper: user_yaml = load_appwrapper(user_yaml, name) else: - user_yaml = load_components(user_yaml, name, namespace, local_queue, labels) + user_yaml = load_components(user_yaml, name) return user_yaml
    @@ -757,7 +649,7 @@

    Functions

    -def load_components(user_yaml: dict, name: str, namespace: str, local_queue: Optional[str], labels: dict) +def load_components(user_yaml: dict, name: str)
    @@ -768,31 +660,12 @@

    Functions

    def load_components(
     user_yaml: dict,
     name: str,
-    namespace: str,
-    local_queue: Optional[str],
-    labels: dict,
 ):
     component_list = []
-    components = user_yaml.get("spec", "resources")["resources"].get("GenericItems")
-    lq_name = local_queue or get_default_kueue_name(namespace)
-    cluster_labels = labels
-    if not local_queue_exists(namespace, lq_name):
-        raise ValueError(
-            "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
-        )
+    components = user_yaml.get("spec", "resources").get("components")
     for component in components:
-        if "generictemplate" in component:
-            if (
-                "workload.codeflare.dev/appwrapper"
-                in component["generictemplate"]["metadata"]["labels"]
-            ):
-                del component["generictemplate"]["metadata"]["labels"][
-                    "workload.codeflare.dev/appwrapper"
-                ]
-                labels = component["generictemplate"]["metadata"]["labels"]
-                labels.update({"kueue.x-k8s.io/queue-name": lq_name})
-                labels.update(cluster_labels)
-            component_list.append(component["generictemplate"])
+        if "template" in component:
+            component_list.append(component["template"])
 
     resources = "---\n" + "---\n".join(
         [yaml.dump(component) for component in component_list]
@@ -848,88 +721,6 @@ 
    Functions
    
             print(exc)
    -
    -def update_affinity(spec, appwrapper_name, instascale) -
    -
    -
    -
    - -Expand source code - -
    def update_affinity(spec, appwrapper_name, instascale):
-    if instascale:
-        node_selector_terms = (
-            spec.get("affinity")
-            .get("nodeAffinity")
-            .get("requiredDuringSchedulingIgnoredDuringExecution")
-            .get("nodeSelectorTerms")
-        )
-        node_selector_terms[0]["matchExpressions"][0]["values"][0] = appwrapper_name
-        node_selector_terms[0]["matchExpressions"][0]["key"] = appwrapper_name
-    else:
-        spec.pop("affinity")
    -
    -
    -
    -def update_custompodresources(item, min_cpu, max_cpu, min_memory, max_memory, gpu, workers, head_cpus, head_memory, head_gpus) -
    -
    -
    -
    - -Expand source code - -
    def update_custompodresources(
-    item,
-    min_cpu,
-    max_cpu,
-    min_memory,
-    max_memory,
-    gpu,
-    workers,
-    head_cpus,
-    head_memory,
-    head_gpus,
-):
-    if "custompodresources" in item.keys():
-        custompodresources = item.get("custompodresources")
-        for i in range(len(custompodresources)):
-            resource = custompodresources[i]
-            if i == 0:
-                # Leave head node resources as template default
-                resource["requests"]["cpu"] = head_cpus
-                resource["limits"]["cpu"] = head_cpus
-                resource["requests"]["memory"] = head_memory
-                resource["limits"]["memory"] = head_memory
-                resource["requests"]["nvidia.com/gpu"] = head_gpus
-                resource["limits"]["nvidia.com/gpu"] = head_gpus
-
-            else:
-                for k, v in resource.items():
-                    if k == "replicas" and i == 1:
-                        resource[k] = workers
-                    if k == "requests" or k == "limits":
-                        for spec, _ in v.items():
-                            if spec == "cpu":
-                                if k == "limits":
-                                    resource[k][spec] = max_cpu
-                                else:
-                                    resource[k][spec] = min_cpu
-                            if spec == "memory":
-                                if k == "limits":
-                                    resource[k][spec] = max_memory
-                                else:
-                                    resource[k][spec] = min_memory
-                            if spec == "nvidia.com/gpu":
-                                if i == 0:
-                                    resource[k][spec] = 0
-                                else:
-                                    resource[k][spec] = gpu
-    else:
-        sys.exit("Error: malformed template")
    -
    -
    def update_env(spec, env)
    @@ -980,31 +771,6 @@

    Functions

    ] -
    -def update_labels(yaml, instascale, instance_types) -
    -
    -
    -
    - -Expand source code - -
    def update_labels(yaml, instascale, instance_types):
-    metadata = yaml.get("metadata")
-    if instascale:
-        if not len(instance_types) > 0:
-            sys.exit(
-                "If instascale is set to true, must provide at least one instance type"
-            )
-        type_str = ""
-        for type in instance_types:
-            type_str += type + "_"
-        type_str = type_str[:-1]
-        metadata["labels"]["orderedinstance"] = type_str
-    else:
-        metadata.pop("labels")
    -
    -
    def update_names(yaml, item, appwrapper_name, cluster_name, namespace)
    @@ -1018,14 +784,13 @@

    Functions

    metadata = yaml.get("metadata") metadata["name"] = appwrapper_name metadata["namespace"] = namespace - lower_meta = item.get("generictemplate", {}).get("metadata") - lower_meta["labels"]["workload.codeflare.dev/appwrapper"] = appwrapper_name + lower_meta = item.get("template", {}).get("metadata") lower_meta["name"] = cluster_name lower_meta["namespace"] = namespace
    -def update_nodes(item, appwrapper_name, min_cpu, max_cpu, min_memory, max_memory, gpu, workers, image, instascale, env, image_pull_secrets, head_cpus, head_memory, head_gpus) +def update_nodes(item, appwrapper_name, min_cpu, max_cpu, min_memory, max_memory, gpu, workers, image, env, image_pull_secrets, head_cpus, head_memory, head_gpus)
    @@ -1043,18 +808,17 @@

    Functions

    gpu, workers, image, - instascale, env, image_pull_secrets, head_cpus, head_memory, head_gpus, ): - if "generictemplate" in item.keys(): - head = item.get("generictemplate").get("spec").get("headGroupSpec") + if "template" in item.keys(): + head = item.get("template").get("spec").get("headGroupSpec") head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) - worker = item.get("generictemplate").get("spec").get("workerGroupSpecs")[0] + worker = item.get("template").get("spec").get("workerGroupSpecs")[0] # Head counts as first worker worker["replicas"] = workers worker["minReplicas"] = workers @@ -1064,7 +828,6 @@

    Functions

    for comp in [head, worker]: spec = comp.get("template").get("spec") - update_affinity(spec, appwrapper_name, instascale) update_image_pull_secrets(spec, image_pull_secrets) update_image(spec, image) update_env(spec, env) @@ -1077,32 +840,6 @@

    Functions

    update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu)
    -
    -def update_priority(yaml, item, dispatch_priority, priority_val) -
    -
    -
    -
    - -Expand source code - -
    def update_priority(yaml, item, dispatch_priority, priority_val):
-    spec = yaml.get("spec")
-    if dispatch_priority is not None:
-        if priority_val:
-            spec["priority"] = priority_val
-        else:
-            raise ValueError(
-                "AW generation error: Priority value is None, while dispatch_priority is defined"
-            )
-        head = item.get("generictemplate").get("spec").get("headGroupSpec")
-        worker = item.get("generictemplate").get("spec").get("workerGroupSpecs")[0]
-        head["template"]["spec"]["priorityClassName"] = dispatch_priority
-        worker["template"]["spec"]["priorityClassName"] = dispatch_priority
-    else:
-        spec.pop("priority")
    -
    -
    def update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu)
    @@ -1128,7 +865,7 @@

    Functions

    -def write_components(user_yaml: dict, output_file_name: str, namespace: str, local_queue: Optional[str], labels: dict) +def write_components(user_yaml: dict, output_file_name: str)
    @@ -1139,40 +876,19 @@

    Functions

    def write_components(
     user_yaml: dict,
     output_file_name: str,
-    namespace: str,
-    local_queue: Optional[str],
-    labels: dict,
 ):
     # Create the directory if it doesn't exist
     directory_path = os.path.dirname(output_file_name)
     if not os.path.exists(directory_path):
         os.makedirs(directory_path)
 
-    components = user_yaml.get("spec", "resources")["resources"].get("GenericItems")
+    components = user_yaml.get("spec", "resources").get("components")
     open(output_file_name, "w").close()
-    lq_name = local_queue or get_default_kueue_name(namespace)
-    cluster_labels = labels
-    if not local_queue_exists(namespace, lq_name):
-        raise ValueError(
-            "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
-        )
     with open(output_file_name, "a") as outfile:
         for component in components:
-            if "generictemplate" in component:
-                if (
-                    "workload.codeflare.dev/appwrapper"
-                    in component["generictemplate"]["metadata"]["labels"]
-                ):
-                    del component["generictemplate"]["metadata"]["labels"][
-                        "workload.codeflare.dev/appwrapper"
-                    ]
-                    labels = component["generictemplate"]["metadata"]["labels"]
-                    labels.update({"kueue.x-k8s.io/queue-name": lq_name})
-                    labels.update(cluster_labels)
+            if "template" in component:
                 outfile.write("---\n")
-                yaml.dump(
-                    component["generictemplate"], outfile, default_flow_style=False
-                )
+                yaml.dump(component["template"], outfile, default_flow_style=False)
     print(f"Written to: {output_file_name}")
    @@ -1215,6 +931,8 @@

    Index

  • Functions

      +
    • add_queue_label
      • +
    • augment_labels
    • del_from_list_by_name
    • gen_names
    • generate_appwrapper
      • @@ -1225,15 +943,11 @@

      Index

    • load_components
    • local_queue_exists
    • read_template
      • -
    • update_affinity
      • -
    • update_custompodresources
    • update_env
    • update_image
    • update_image_pull_secrets
      • -
    • update_labels
    • update_names
    • update_nodes
      • -
    • update_priority
    • update_resources
    • write_components
    • write_user_appwrapper
      • From f3cae1adeb70bf009cdbcf040455fcdb50511a5b Mon Sep 17 00:00:00 2001 From: abhijeet-dhumal Date: Wed, 5 Jun 2024 12:48:30 +0530 Subject: [PATCH 010/254] add provision to delete kueue resources created during test execution --- tests/e2e/local_interactive_sdk_kind_test.py | 2 +- tests/e2e/local_interactive_sdk_oauth_test.py | 2 +- .../e2e/mnist_raycluster_sdk_aw_kind_test.py | 1 + tests/e2e/mnist_raycluster_sdk_kind_test.py | 1 + tests/e2e/mnist_raycluster_sdk_oauth_test.py | 2 +- tests/e2e/support.py | 38 +++++++++++++++++-- tests/upgrade/raycluster_sdk_upgrade_test.py | 1 + 7 files changed, 41 insertions(+), 6 deletions(-) diff --git a/tests/e2e/local_interactive_sdk_kind_test.py b/tests/e2e/local_interactive_sdk_kind_test.py index 1cbc5f62..647ac472 100644 --- a/tests/e2e/local_interactive_sdk_kind_test.py +++ b/tests/e2e/local_interactive_sdk_kind_test.py @@ -19,13 +19,13 @@ def setup_method(self): def teardown_method(self): delete_namespace(self) + delete_kueue_resources(self) def test_local_interactives(self): self.setup_method() create_namespace(self) create_kueue_resources(self) self.run_local_interactives() - self.teardown_method() def run_local_interactives(self): ray_image = get_ray_image() diff --git a/tests/e2e/local_interactive_sdk_oauth_test.py b/tests/e2e/local_interactive_sdk_oauth_test.py index 5210fe25..c3fd1d85 100644 --- a/tests/e2e/local_interactive_sdk_oauth_test.py +++ b/tests/e2e/local_interactive_sdk_oauth_test.py @@ -19,13 +19,13 @@ def setup_method(self): def teardown_method(self): delete_namespace(self) + delete_kueue_resources(self) def test_local_interactives(self): self.setup_method() create_namespace(self) create_kueue_resources(self) self.run_local_interactives() - self.teardown_method() def run_local_interactives(self): ray_image = get_ray_image() diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py index 2aa5da16..3ca3498d 100644 --- a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py @@ -25,6 +25,7 @@ def test_mnist_ray_cluster_sdk_kind(self): create_namespace(self) create_kueue_resources(self) self.run_mnist_raycluster_sdk_kind() + self.teardown_method() def run_mnist_raycluster_sdk_kind(self): ray_image = get_ray_image() diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py index ece7069f..b486efc8 100644 --- a/tests/e2e/mnist_raycluster_sdk_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py @@ -19,6 +19,7 @@ def setup_method(self): def teardown_method(self): delete_namespace(self) + delete_kueue_resources(self) def test_mnist_ray_cluster_sdk_kind(self): self.setup_method() diff --git a/tests/e2e/mnist_raycluster_sdk_oauth_test.py b/tests/e2e/mnist_raycluster_sdk_oauth_test.py index 548c80ad..e489c39f 100644 --- a/tests/e2e/mnist_raycluster_sdk_oauth_test.py +++ b/tests/e2e/mnist_raycluster_sdk_oauth_test.py @@ -19,13 +19,13 @@ def setup_method(self): def teardown_method(self): delete_namespace(self) + delete_kueue_resources(self) def test_mnist_ray_cluster_sdk_auth(self): self.setup_method() create_namespace(self) create_kueue_resources(self) self.run_mnist_raycluster_sdk_oauth() - self.teardown_method() def run_mnist_raycluster_sdk_oauth(self): ray_image = get_ray_image() diff --git a/tests/e2e/support.py b/tests/e2e/support.py index ab9f5c69..8503b95e 100644 --- a/tests/e2e/support.py +++ b/tests/e2e/support.py @@ -59,11 +59,17 @@ def run_oc_command(args): return None +# Global variables for kueue resources +cluster_queue = "cluster-queue-mnist" +flavor = "default-flavor-mnist" +local_queue = "local-queue-mnist" + + def create_kueue_resources( self, - cluster_queue="cluster-queue-mnist", - flavor="default-flavor-mnist", - local_queue="local-queue-mnist", + cluster_queue=cluster_queue, + flavor=flavor, + local_queue=local_queue, ): print("creating Kueue resources ...") resource_flavor_json = { @@ -163,3 +169,29 @@ def create_kueue_resources( body=local_queue_json, ) print(f"'{local_queue}' created in namespace '{self.namespace}'") + + +def delete_kueue_resources(self, cluster_queue=cluster_queue, flavor=flavor): + # Delete if given cluster-queue exists + try: + self.custom_api.delete_cluster_custom_object( + group="kueue.x-k8s.io", + plural="clusterqueues", + version="v1beta1", + name=cluster_queue, + ) + print(f"\n'{cluster_queue}' cluster-queue deleted") + except Exception as e: + print(f"\nError deleting cluster-queue '{cluster_queue}' : {e}") + + # Delete if given resource-flavor exists + try: + self.custom_api.delete_cluster_custom_object( + group="kueue.x-k8s.io", + plural="resourceflavors", + version="v1beta1", + name=flavor, + ) + print(f"'{flavor}' resource-flavor deleted") + except Exception as e: + print(f"\nError deleting resource-flavor '{flavor}' : {e}") diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index 8a17654a..ef09d2e7 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -21,6 +21,7 @@ def setup_method(self): create_kueue_resources(self) except Exception as e: delete_namespace(self) + delete_kueue_resources(self) return _kube_api_error_handling(e) def test_mnist_ray_cluster_sdk_auth(self): From 9295a8e87e6c802887c171ea6402e7abe607fbd2 Mon Sep 17 00:00:00 2001 From: abhijeet-dhumal Date: Thu, 6 Jun 2024 20:04:47 +0530 Subject: [PATCH 011/254] update kueue resource creation flow to create resources using unique name for avoiding naming conflicts and to execute tests parallely --- .../e2e/mnist_raycluster_sdk_aw_kind_test.py | 1 - tests/e2e/mnist_raycluster_sdk_kind_test.py | 1 - tests/e2e/support.py | 124 +++++++++++------- 3 files changed, 73 insertions(+), 53 deletions(-) diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py index 3ca3498d..2aa5da16 100644 --- a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py @@ -25,7 +25,6 @@ def test_mnist_ray_cluster_sdk_kind(self): create_namespace(self) create_kueue_resources(self) self.run_mnist_raycluster_sdk_kind() - self.teardown_method() def run_mnist_raycluster_sdk_kind(self): ray_image = get_ray_image() diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py index b486efc8..630bc5df 100644 --- a/tests/e2e/mnist_raycluster_sdk_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py @@ -26,7 +26,6 @@ def test_mnist_ray_cluster_sdk_kind(self): create_namespace(self) create_kueue_resources(self) self.run_mnist_raycluster_sdk_kind() - self.teardown_method() def run_mnist_raycluster_sdk_kind(self): ray_image = get_ray_image() diff --git a/tests/e2e/support.py b/tests/e2e/support.py index 8503b95e..a3dfd89b 100644 --- a/tests/e2e/support.py +++ b/tests/e2e/support.py @@ -25,6 +25,21 @@ def create_namespace(self): self.api_instance.create_namespace(namespace_body) +def create_new_resource_flavor(self): + self.resource_flavor = f"test-resource-flavor-{random_choice()}" + create_resource_flavor(self, self.resource_flavor) + + +def create_new_cluster_queue(self): + self.cluster_queue = f"test-cluster-queue-{random_choice()}" + create_cluster_queue(self, self.cluster_queue, self.resource_flavor) + + +def create_new_local_queue(self): + self.local_queue = f"test-local-queue-{random_choice()}" + create_local_queue(self, self.cluster_queue, self.local_queue) + + def create_namespace_with_name(self, namespace_name): self.namespace = namespace_name try: @@ -59,24 +74,7 @@ def run_oc_command(args): return None -# Global variables for kueue resources -cluster_queue = "cluster-queue-mnist" -flavor = "default-flavor-mnist" -local_queue = "local-queue-mnist" - - -def create_kueue_resources( - self, - cluster_queue=cluster_queue, - flavor=flavor, - local_queue=local_queue, -): - print("creating Kueue resources ...") - resource_flavor_json = { - "apiVersion": "kueue.x-k8s.io/v1beta1", - "kind": "ResourceFlavor", - "metadata": {"name": flavor}, - } +def create_cluster_queue(self, cluster_queue, flavor): cluster_queue_json = { "apiVersion": "kueue.x-k8s.io/v1beta1", "kind": "ClusterQueue", @@ -100,54 +98,69 @@ def create_kueue_resources( ], }, } - local_queue_json = { - "apiVersion": "kueue.x-k8s.io/v1beta1", - "kind": "LocalQueue", - "metadata": { - "namespace": self.namespace, - "name": local_queue, - "annotations": {"kueue.x-k8s.io/default-queue": "true"}, - }, - "spec": {"clusterQueue": cluster_queue}, - } try: - # Check if resource flavor exists + # Check if cluster-queue exists self.custom_api.get_cluster_custom_object( group="kueue.x-k8s.io", - plural="resourceflavors", + plural="clusterqueues", version="v1beta1", - name=flavor, + name=cluster_queue, ) - print(f"'{flavor}' already exists") + print(f"'{cluster_queue}' already exists") except: - # create kueue resource flavor + # create cluster-queue self.custom_api.create_cluster_custom_object( group="kueue.x-k8s.io", - plural="resourceflavors", + plural="clusterqueues", version="v1beta1", - body=resource_flavor_json, + body=cluster_queue_json, ) - print(f"'{flavor}' created!") + print(f"'{cluster_queue}' created") + + self.cluster_queue = cluster_queue + + +def create_resource_flavor(self, flavor): + resource_flavor_json = { + "apiVersion": "kueue.x-k8s.io/v1beta1", + "kind": "ResourceFlavor", + "metadata": {"name": flavor}, + } try: - # Check if cluster-queue exists + # Check if resource flavor exists self.custom_api.get_cluster_custom_object( group="kueue.x-k8s.io", - plural="clusterqueues", + plural="resourceflavors", version="v1beta1", - name=cluster_queue, + name=flavor, ) - print(f"'{cluster_queue}' already exists") + print(f"'{flavor}' already exists") except: - # create cluster-queue + # create kueue resource flavor self.custom_api.create_cluster_custom_object( group="kueue.x-k8s.io", - plural="clusterqueues", + plural="resourceflavors", version="v1beta1", - body=cluster_queue_json, + body=resource_flavor_json, ) - print(f"'{cluster_queue}' created") + print(f"'{flavor}' created!") + + self.resource_flavor = flavor + + +def create_local_queue(self, cluster_queue, local_queue): + local_queue_json = { + "apiVersion": "kueue.x-k8s.io/v1beta1", + "kind": "LocalQueue", + "metadata": { + "namespace": self.namespace, + "name": local_queue, + "annotations": {"kueue.x-k8s.io/default-queue": "true"}, + }, + "spec": {"clusterQueue": cluster_queue}, + } try: # Check if local-queue exists in given namespace @@ -170,19 +183,28 @@ def create_kueue_resources( ) print(f"'{local_queue}' created in namespace '{self.namespace}'") + self.local_queue = local_queue + -def delete_kueue_resources(self, cluster_queue=cluster_queue, flavor=flavor): +def create_kueue_resources(self): + print("creating Kueue resources ...") + create_new_resource_flavor(self) + create_new_cluster_queue(self) + create_new_local_queue(self) + + +def delete_kueue_resources(self): # Delete if given cluster-queue exists try: self.custom_api.delete_cluster_custom_object( group="kueue.x-k8s.io", plural="clusterqueues", version="v1beta1", - name=cluster_queue, + name=self.cluster_queue, ) - print(f"\n'{cluster_queue}' cluster-queue deleted") + print(f"\n'{self.cluster_queue}' cluster-queue deleted") except Exception as e: - print(f"\nError deleting cluster-queue '{cluster_queue}' : {e}") + print(f"\nError deleting cluster-queue '{self.cluster_queue}' : {e}") # Delete if given resource-flavor exists try: @@ -190,8 +212,8 @@ def delete_kueue_resources(self, cluster_queue=cluster_queue, flavor=flavor): group="kueue.x-k8s.io", plural="resourceflavors", version="v1beta1", - name=flavor, + name=self.resource_flavor, ) - print(f"'{flavor}' resource-flavor deleted") + print(f"'{self.resource_flavor}' resource-flavor deleted") except Exception as e: - print(f"\nError deleting resource-flavor '{flavor}' : {e}") + print(f"\nError deleting resource-flavor '{self.resource_flavor}' : {e}") From 8cfcbde934bca2cc566e8858154ad0c44a9ce80c Mon Sep 17 00:00:00 2001 From: abhijeet-dhumal Date: Fri, 7 Jun 2024 11:58:00 +0530 Subject: [PATCH 012/254] Update upgrade test to create kueue resources with specfic pre-defined names --- tests/upgrade/raycluster_sdk_upgrade_test.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index ef09d2e7..d83e6289 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -10,6 +10,10 @@ from codeflare_sdk.utils.kube_api_helpers import _kube_api_error_handling namespace = "test-ns-rayupgrade" +# Global variables for kueue resources +cluster_queue = "cluster-queue-mnist" +flavor = "default-flavor-mnist" +local_queue = "local-queue-mnist" # Creates a Ray cluster @@ -18,7 +22,9 @@ def setup_method(self): initialize_kubernetes_client(self) create_namespace_with_name(self, namespace) try: - create_kueue_resources(self) + create_cluster_queue(self, cluster_queue, flavor) + create_resource_flavor(self, flavor) + create_local_queue(self, cluster_queue, local_queue) except Exception as e: delete_namespace(self) delete_kueue_resources(self) From eb643ca0a4d8d66dba5d8571efbf03a16ad2fa71 Mon Sep 17 00:00:00 2001 From: Karel Suta Date: Fri, 7 Jun 2024 09:20:25 +0200 Subject: [PATCH 013/254] Print Pytest output logs for easier test failure analysis --- .github/workflows/e2e_tests.yaml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml index 9ef73315..b83afb4b 100644 --- a/.github/workflows/e2e_tests.yaml +++ b/.github/workflows/e2e_tests.yaml @@ -143,6 +143,12 @@ jobs: if: always() && steps.deploy.outcome == 'success' run: kubectl config use-context kind-cluster + - name: Print Pytest output log + if: always() && steps.deploy.outcome == 'success' + run: | + echo "Printing Pytest output logs" + cat ${CODEFLARE_TEST_OUTPUT_DIR}/pytest_output.log + - name: Print CodeFlare operator logs if: always() && steps.deploy.outcome == 'success' run: | From 4cef42e195343175e0514066774cd369af505a31 Mon Sep 17 00:00:00 2001 From: Ignas Baranauskas Date: Thu, 30 May 2024 16:55:01 +0100 Subject: [PATCH 014/254] Add notebook prefix annotation to RayCluster --- src/codeflare_sdk/utils/generate_yaml.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index dcd4a42c..d6290c5c 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -246,6 +246,17 @@ def augment_labels(item: dict, labels: dict): item["template"]["metadata"]["labels"].update(labels) +def notebook_annotations(item: dict): + nb_prefix = os.environ.get("NB_PREFIX") + if nb_prefix: + if "template" in item: + if not "annotations" in item["template"]["metadata"]: + item["template"]["metadata"]["annotations"] = {} + item["template"]["metadata"]["annotations"].update( + {"app.kubernetes.io/managed-by": nb_prefix} + ) + + def write_components( user_yaml: dict, output_file_name: str, @@ -341,6 +352,7 @@ def generate_appwrapper( ) augment_labels(item, labels) + notebook_annotations(item) if appwrapper: add_queue_label(user_yaml, namespace, local_queue) From 2408b7a9834f665e329acfcd2d7515596040e06c Mon Sep 17 00:00:00 2001 From: Ignas Baranauskas Date: Mon, 10 Jun 2024 09:35:00 +0100 Subject: [PATCH 015/254] Tests for the annotation prefix to RayCluster --- tests/test-case-no-mcad.yamls | 2 ++ tests/unit_test.py | 3 +++ 2 files changed, 5 insertions(+) diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index 367703d6..b69c0d60 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -2,6 +2,8 @@ apiVersion: ray.io/v1 kind: RayCluster metadata: + annotations: + app.kubernetes.io/managed-by: test-prefix labels: controller-tools.k8s.io: '1.0' kueue.x-k8s.io/queue-name: local-queue-default diff --git a/tests/unit_test.py b/tests/unit_test.py index 32d730c4..b54d6549 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -345,6 +345,8 @@ def test_cluster_creation_no_mcad(mocker): "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), ) + mocker.patch("os.environ.get", return_value="test-prefix") + config = createClusterConfig() config.name = "unit-test-cluster-ray" config.write_to_file = True @@ -373,6 +375,7 @@ def test_cluster_creation_no_mcad_local_queue(mocker): "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), ) + mocker.patch("os.environ.get", return_value="test-prefix") config = createClusterConfig() config.name = "unit-test-cluster-ray" config.appwrapper = False From a3d138d22283126102d0bd9808f8cd164ea5972a Mon Sep 17 00:00:00 2001 From: Srihari Date: Tue, 11 Jun 2024 18:24:44 +0530 Subject: [PATCH 016/254] Update TestMnistJobSubmit to skip cluster down for UI verification --- tests/upgrade/raycluster_sdk_upgrade_test.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index d83e6289..fb160be1 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -97,7 +97,6 @@ def test_mnist_job_submission(self): self.assert_jobsubmit_withoutLogin(self.cluster) self.assert_jobsubmit_withlogin(self.cluster) - self.cluster.down() # Assertions def assert_jobsubmit_withoutLogin(self, cluster): @@ -147,7 +146,6 @@ def assert_jobsubmit_withlogin(self, cluster): self.assert_job_completion(status) client.delete_job(submission_id) - cluster.down() def assert_job_completion(self, status): if status == "SUCCEEDED": From 6798b74953d36cbe7968459b4be72ef38e98744c Mon Sep 17 00:00:00 2001 From: Drew Ripberger Date: Tue, 4 Jun 2024 16:42:24 -0400 Subject: [PATCH 017/254] Update requirements.txt to new library versions --- demo-notebooks/guided-demos/requirements.txt | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/demo-notebooks/guided-demos/requirements.txt b/demo-notebooks/guided-demos/requirements.txt index 7266b064..af1bb36b 100644 --- a/demo-notebooks/guided-demos/requirements.txt +++ b/demo-notebooks/guided-demos/requirements.txt @@ -1,4 +1,4 @@ -pytorch_lightning==1.5.10 +pytorch_lightning==2.2.5 ray_lightning -torchmetrics==0.9.1 -torchvision==0.12.0 +torchmetrics==1.4.0 +torchvision==0.18.0 From 3864bcfc61e17612b0c726b9b9b3e25fcd3569b2 Mon Sep 17 00:00:00 2001 From: Srihari Venkataramaiah Date: Fri, 14 Jun 2024 15:24:56 +0530 Subject: [PATCH 018/254] update Token Authentication for TestMnistJobSubmit before step get_cluster (#561) --- tests/upgrade/raycluster_sdk_upgrade_test.py | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index fb160be1..235383f6 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -82,19 +82,18 @@ def run_mnist_raycluster_sdk_oauth(self): class TestMnistJobSubmit: def setup_method(self): initialize_kubernetes_client(self) - self.namespace = namespace - self.cluster = get_cluster("mnist", self.namespace) - if not self.cluster: - raise RuntimeError("TestRayClusterUp needs to be run before this test") - - def test_mnist_job_submission(self): auth = TokenAuthentication( token=run_oc_command(["whoami", "--show-token=true"]), server=run_oc_command(["whoami", "--show-server=true"]), skip_tls=True, ) auth.login() + self.namespace = namespace + self.cluster = get_cluster("mnist", self.namespace) + if not self.cluster: + raise RuntimeError("TestRayClusterUp needs to be run before this test") + def test_mnist_job_submission(self): self.assert_jobsubmit_withoutLogin(self.cluster) self.assert_jobsubmit_withlogin(self.cluster) From 3d9ebc9bd1e359f88fc3f6dce3d26ad5fd2a5966 Mon Sep 17 00:00:00 2001 From: David Grove Date: Fri, 7 Jun 2024 14:10:02 -0400 Subject: [PATCH 019/254] Simplify yaml generation by starting from non-AppWrapper template The v1/beta2 AppWrapper can be wrapped around a RayCluster as a simple prefix to the "real" yaml. So we can simplify yaml generation/manipulation by starting with a vanilla RayCluster and just optionally put it inside an AppWrapper at the end. --- src/codeflare_sdk/cluster/awload.py | 2 +- src/codeflare_sdk/cluster/cluster.py | 8 +- .../templates/base-template.yaml | 383 +++++++++--------- src/codeflare_sdk/utils/generate_yaml.py | 180 +++----- tests/test-case-no-mcad.yamls | 1 - tests/unit_test.py | 2 - 6 files changed, 253 insertions(+), 323 deletions(-) diff --git a/src/codeflare_sdk/cluster/awload.py b/src/codeflare_sdk/cluster/awload.py index c622f877..7455b216 100644 --- a/src/codeflare_sdk/cluster/awload.py +++ b/src/codeflare_sdk/cluster/awload.py @@ -30,7 +30,7 @@ class AWManager: """ An object for submitting and removing existing AppWrapper yamls - to be added to the MCAD queue. + to be added to the Kueue localqueue. """ def __init__(self, filename: str) -> None: diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index 35c26b0a..e5bbcd86 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -147,11 +147,9 @@ def create_app_wrapper(self): template = self.config.template image = self.config.image appwrapper = self.config.appwrapper - instance_types = self.config.machine_types env = self.config.envs image_pull_secrets = self.config.image_pull_secrets write_to_file = self.config.write_to_file - verify_tls = self.config.verify_tls local_queue = self.config.local_queue labels = self.config.labels return generate_appwrapper( @@ -169,11 +167,9 @@ def create_app_wrapper(self): template=template, image=image, appwrapper=appwrapper, - instance_types=instance_types, env=env, image_pull_secrets=image_pull_secrets, write_to_file=write_to_file, - verify_tls=verify_tls, local_queue=local_queue, labels=labels, ) @@ -181,8 +177,8 @@ def create_app_wrapper(self): # creates a new cluster with the provided or default spec def up(self): """ - Applies the AppWrapper yaml, pushing the resource request onto - the MCAD queue. + Applies the Cluster yaml, pushing the resource request onto + the Kueue localqueue. """ # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError diff --git a/src/codeflare_sdk/templates/base-template.yaml b/src/codeflare_sdk/templates/base-template.yaml index b6a70b2b..0e071961 100644 --- a/src/codeflare_sdk/templates/base-template.yaml +++ b/src/codeflare_sdk/templates/base-template.yaml @@ -1,207 +1,198 @@ -apiVersion: workload.codeflare.dev/v1beta2 -kind: AppWrapper +# This config demonstrates KubeRay's Ray autoscaler integration. +# The resource requests and limits in this config are too small for production! +# For an example with more realistic resource configuration, see +# ray-cluster.autoscaler.large.yaml. +apiVersion: ray.io/v1 +kind: RayCluster metadata: - name: aw-kuberay + labels: + controller-tools.k8s.io: "1.0" + # A unique identifier for the head node and workers of this cluster. + name: kuberay-cluster namespace: default spec: - components: - - template: - # This config demonstrates KubeRay's Ray autoscaler integration. - # The resource requests and limits in this config are too small for production! - # For an example with more realistic resource configuration, see - # ray-cluster.autoscaler.large.yaml. - apiVersion: ray.io/v1 - kind: RayCluster + # The version of Ray you are using. Make sure all Ray containers are running this version of Ray. + rayVersion: '2.7.0' + # If enableInTreeAutoscaling is true, the autoscaler sidecar will be added to the Ray head pod. + # Ray autoscaler integration is supported only for Ray versions >= 1.11.0 + # Ray autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0. + enableInTreeAutoscaling: false + # autoscalerOptions is an OPTIONAL field specifying configuration overrides for the Ray autoscaler. + # The example configuration shown below below represents the DEFAULT values. + # (You may delete autoscalerOptions if the defaults are suitable.) + autoscalerOptions: + # upscalingMode is "Default" or "Aggressive." + # Conservative: Upscaling is rate-limited; the number of pending worker pods is at most the size of the Ray cluster. + # Default: Upscaling is not rate-limited. + # Aggressive: An alias for Default; upscaling is not rate-limited. + upscalingMode: Default + # idleTimeoutSeconds is the number of seconds to wait before scaling down a worker pod which is not using Ray resources. + idleTimeoutSeconds: 60 + # image optionally overrides the autoscaler's container image. + # If instance.spec.rayVersion is at least "2.0.0", the autoscaler will default to the same image as + # the ray container. For older Ray versions, the autoscaler will default to using the Ray 2.0.0 image. + ## image: "my-repo/my-custom-autoscaler-image:tag" + # imagePullPolicy optionally overrides the autoscaler container's image pull policy. + imagePullPolicy: Always + # resources specifies optional resource request and limit overrides for the autoscaler container. + # For large Ray clusters, we recommend monitoring container resource usage to determine if overriding the defaults is required. + resources: + limits: + cpu: "500m" + memory: "512Mi" + requests: + cpu: "500m" + memory: "512Mi" + ######################headGroupSpec################################# + # head group template and specs, (perhaps 'group' is not needed in the name) + headGroupSpec: + # Kubernetes Service Type, valid values are 'ClusterIP', 'NodePort' and 'LoadBalancer' + serviceType: ClusterIP + enableIngress: false + # logical group name, for this called head-group, also can be functional + # pod type head or worker + # rayNodeType: head # Not needed since it is under the headgroup + # the following params are used to complete the ray start: ray start --head --block ... + rayStartParams: + # Flag "no-monitor" will be automatically set when autoscaling is enabled. + dashboard-host: '0.0.0.0' + block: 'true' + # num-cpus: '1' # can be auto-completed from the limits + # Use `resources` to optionally specify custom resource annotations for the Ray node. + # The value of `resources` is a string-integer mapping. + # Currently, `resources` must be provided in the specific format demonstrated below: + # resources: '"{\"Custom1\": 1, \"Custom2\": 5}"' + num-gpus: '0' + #pod template + template: + spec: + containers: + # The Ray head pod + - name: ray-head + image: quay.io/project-codeflare/ray:latest-py39-cu118 + imagePullPolicy: Always + ports: + - containerPort: 6379 + name: gcs + - containerPort: 8265 + name: dashboard + - containerPort: 10001 + name: client + lifecycle: + preStop: + exec: + command: ["/bin/sh","-c","ray stop"] + resources: + limits: + cpu: 2 + memory: "8G" + nvidia.com/gpu: 0 + requests: + cpu: 2 + memory: "8G" + nvidia.com/gpu: 0 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + volumes: + - name: odh-trusted-ca-cert + configMap: + name: odh-trusted-ca-bundle + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + optional: true + - name: odh-ca-cert + configMap: + name: odh-trusted-ca-bundle + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + optional: true + workerGroupSpecs: + # the pod replicas in this group typed worker + - replicas: 3 + minReplicas: 3 + maxReplicas: 3 + # logical group name, for this called small-group, also can be functional + groupName: small-group + # if worker pods need to be added, we can simply increment the replicas + # if worker pods need to be removed, we decrement the replicas, and populate the podsToDelete list + # the operator will remove pods from the list until the number of replicas is satisfied + # when a pod is confirmed to be deleted, its name will be removed from the list below + #scaleStrategy: + # workersToDelete: + # - raycluster-complete-worker-small-group-bdtwh + # - raycluster-complete-worker-small-group-hv457 + # - raycluster-complete-worker-small-group-k8tj7 + # the following params are used to complete the ray start: ray start --block ... + rayStartParams: + block: 'true' + num-gpus: 1 + #pod template + template: metadata: labels: - controller-tools.k8s.io: "1.0" - # A unique identifier for the head node and workers of this cluster. - name: kuberay-cluster + key: value + # annotations for pod + annotations: + key: value # finalizers: # - kubernetes spec: - # The version of Ray you are using. Make sure all Ray containers are running this version of Ray. - rayVersion: '2.7.0' - # If enableInTreeAutoscaling is true, the autoscaler sidecar will be added to the Ray head pod. - # Ray autoscaler integration is supported only for Ray versions >= 1.11.0 - # Ray autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0. - enableInTreeAutoscaling: false - # autoscalerOptions is an OPTIONAL field specifying configuration overrides for the Ray autoscaler. - # The example configuration shown below below represents the DEFAULT values. - # (You may delete autoscalerOptions if the defaults are suitable.) - autoscalerOptions: - # upscalingMode is "Default" or "Aggressive." - # Conservative: Upscaling is rate-limited; the number of pending worker pods is at most the size of the Ray cluster. - # Default: Upscaling is not rate-limited. - # Aggressive: An alias for Default; upscaling is not rate-limited. - upscalingMode: Default - # idleTimeoutSeconds is the number of seconds to wait before scaling down a worker pod which is not using Ray resources. - idleTimeoutSeconds: 60 - # image optionally overrides the autoscaler's container image. - # If instance.spec.rayVersion is at least "2.0.0", the autoscaler will default to the same image as - # the ray container. For older Ray versions, the autoscaler will default to using the Ray 2.0.0 image. - ## image: "my-repo/my-custom-autoscaler-image:tag" - # imagePullPolicy optionally overrides the autoscaler container's image pull policy. - imagePullPolicy: Always - # resources specifies optional resource request and limit overrides for the autoscaler container. - # For large Ray clusters, we recommend monitoring container resource usage to determine if overriding the defaults is required. + containers: + - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name', or '123-abc' + image: quay.io/project-codeflare/ray:latest-py39-cu118 + # environment variables to set in the container.Optional. + # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/ + lifecycle: + preStop: + exec: + command: ["/bin/sh","-c","ray stop"] resources: limits: - cpu: "500m" - memory: "512Mi" + cpu: "2" + memory: "12G" + nvidia.com/gpu: "1" requests: - cpu: "500m" - memory: "512Mi" - ######################headGroupSpec################################# - # head group template and specs, (perhaps 'group' is not needed in the name) - headGroupSpec: - # Kubernetes Service Type, valid values are 'ClusterIP', 'NodePort' and 'LoadBalancer' - serviceType: ClusterIP - enableIngress: false - # logical group name, for this called head-group, also can be functional - # pod type head or worker - # rayNodeType: head # Not needed since it is under the headgroup - # the following params are used to complete the ray start: ray start --head --block ... - rayStartParams: - # Flag "no-monitor" will be automatically set when autoscaling is enabled. - dashboard-host: '0.0.0.0' - block: 'true' - # num-cpus: '1' # can be auto-completed from the limits - # Use `resources` to optionally specify custom resource annotations for the Ray node. - # The value of `resources` is a string-integer mapping. - # Currently, `resources` must be provided in the specific format demonstrated below: - # resources: '"{\"Custom1\": 1, \"Custom2\": 5}"' - num-gpus: '0' - #pod template - template: - spec: - containers: - # The Ray head pod - - name: ray-head - image: quay.io/project-codeflare/ray:latest-py39-cu118 - imagePullPolicy: Always - ports: - - containerPort: 6379 - name: gcs - - containerPort: 8265 - name: dashboard - - containerPort: 10001 - name: client - lifecycle: - preStop: - exec: - command: ["/bin/sh","-c","ray stop"] - resources: - limits: - cpu: 2 - memory: "8G" - nvidia.com/gpu: 0 - requests: - cpu: 2 - memory: "8G" - nvidia.com/gpu: 0 - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - volumes: - - name: odh-trusted-ca-cert - configMap: - name: odh-trusted-ca-bundle - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - optional: true - - name: odh-ca-cert - configMap: - name: odh-trusted-ca-bundle - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - optional: true - workerGroupSpecs: - # the pod replicas in this group typed worker - - replicas: 3 - minReplicas: 3 - maxReplicas: 3 - # logical group name, for this called small-group, also can be functional - groupName: small-group - # if worker pods need to be added, we can simply increment the replicas - # if worker pods need to be removed, we decrement the replicas, and populate the podsToDelete list - # the operator will remove pods from the list until the number of replicas is satisfied - # when a pod is confirmed to be deleted, its name will be removed from the list below - #scaleStrategy: - # workersToDelete: - # - raycluster-complete-worker-small-group-bdtwh - # - raycluster-complete-worker-small-group-hv457 - # - raycluster-complete-worker-small-group-k8tj7 - # the following params are used to complete the ray start: ray start --block ... - rayStartParams: - block: 'true' - num-gpus: 1 - #pod template - template: - metadata: - labels: - key: value - # annotations for pod - annotations: - key: value - # finalizers: - # - kubernetes - spec: - containers: - - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name', or '123-abc' - image: quay.io/project-codeflare/ray:latest-py39-cu118 - # environment variables to set in the container.Optional. - # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/ - lifecycle: - preStop: - exec: - command: ["/bin/sh","-c","ray stop"] - resources: - limits: - cpu: "2" - memory: "12G" - nvidia.com/gpu: "1" - requests: - cpu: "2" - memory: "12G" - nvidia.com/gpu: "1" - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - volumes: - - name: odh-trusted-ca-cert - configMap: - name: odh-trusted-ca-bundle - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - optional: true - - name: odh-ca-cert - configMap: - name: odh-trusted-ca-bundle - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - optional: true + cpu: "2" + memory: "12G" + nvidia.com/gpu: "1" + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + volumes: + - name: odh-trusted-ca-cert + configMap: + name: odh-trusted-ca-bundle + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + optional: true + - name: odh-ca-cert + configMap: + name: odh-trusted-ca-bundle + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + optional: true diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index d6290c5c..30edcd91 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -77,13 +77,10 @@ def is_kind_cluster(): return False -def update_names(yaml, item, appwrapper_name, cluster_name, namespace): - metadata = yaml.get("metadata") - metadata["name"] = appwrapper_name - metadata["namespace"] = namespace - lower_meta = item.get("template", {}).get("metadata") - lower_meta["name"] = cluster_name - lower_meta["namespace"] = namespace +def update_names(cluster_yaml, cluster_name, namespace): + meta = cluster_yaml.get("metadata") + meta["name"] = cluster_name + meta["namespace"] = namespace def update_image(spec, image): @@ -125,7 +122,7 @@ def update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu): def update_nodes( - item, + cluster_yaml, appwrapper_name, min_cpu, max_cpu, @@ -140,48 +137,35 @@ def update_nodes( head_memory, head_gpus, ): - if "template" in item.keys(): - head = item.get("template").get("spec").get("headGroupSpec") - head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) - - worker = item.get("template").get("spec").get("workerGroupSpecs")[0] - # Head counts as first worker - worker["replicas"] = workers - worker["minReplicas"] = workers - worker["maxReplicas"] = workers - worker["groupName"] = "small-group-" + appwrapper_name - worker["rayStartParams"]["num-gpus"] = str(int(gpu)) - - for comp in [head, worker]: - spec = comp.get("template").get("spec") - update_image_pull_secrets(spec, image_pull_secrets) - update_image(spec, image) - update_env(spec, env) - if comp == head: - # TODO: Eventually add head node configuration outside of template - update_resources( - spec, head_cpus, head_cpus, head_memory, head_memory, head_gpus - ) - else: - update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu) + head = cluster_yaml.get("spec").get("headGroupSpec") + head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) + + worker = cluster_yaml.get("spec").get("workerGroupSpecs")[0] + # Head counts as first worker + worker["replicas"] = workers + worker["minReplicas"] = workers + worker["maxReplicas"] = workers + worker["groupName"] = "small-group-" + appwrapper_name + worker["rayStartParams"]["num-gpus"] = str(int(gpu)) + + for comp in [head, worker]: + spec = comp.get("template").get("spec") + update_image_pull_secrets(spec, image_pull_secrets) + update_image(spec, image) + update_env(spec, env) + if comp == head: + # TODO: Eventually add head node configuration outside of template + update_resources( + spec, head_cpus, head_cpus, head_memory, head_memory, head_gpus + ) + else: + update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu) def del_from_list_by_name(l: list, target: typing.List[str]) -> list: return [x for x in l if x["name"] not in target] -def write_user_appwrapper(user_yaml, output_file_name): - # Create the directory if it doesn't exist - directory_path = os.path.dirname(output_file_name) - if not os.path.exists(directory_path): - os.makedirs(directory_path) - - with open(output_file_name, "w") as outfile: - yaml.dump(user_yaml, outfile, default_flow_style=False) - - print(f"Written to: {output_file_name}") - - def get_default_kueue_name(namespace: str): # If the local queue is set, use it. Otherwise, try to use the default queue. try: @@ -240,64 +224,40 @@ def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]): def augment_labels(item: dict, labels: dict): - if "template" in item: - if not "labels" in item["template"]["metadata"]: - item["template"]["metadata"]["labels"] = {} - item["template"]["metadata"]["labels"].update(labels) + if not "labels" in item["metadata"]: + item["metadata"]["labels"] = {} + item["metadata"]["labels"].update(labels) def notebook_annotations(item: dict): nb_prefix = os.environ.get("NB_PREFIX") if nb_prefix: - if "template" in item: - if not "annotations" in item["template"]["metadata"]: - item["template"]["metadata"]["annotations"] = {} - item["template"]["metadata"]["annotations"].update( + if not "annotations" in item["metadata"]: + item["metadata"]["annotations"] = {} + item["metadata"]["annotations"].update( {"app.kubernetes.io/managed-by": nb_prefix} ) -def write_components( - user_yaml: dict, - output_file_name: str, -): +def wrap_cluster(cluster_yaml: dict, appwrapper_name: str, namespace: str): + return { + "apiVersion": "workload.codeflare.dev/v1beta2", + "kind": "AppWrapper", + "metadata": {"name": appwrapper_name, "namespace": namespace}, + "spec": {"components": [{"template": cluster_yaml}]}, + } + + +def write_user_yaml(user_yaml, output_file_name): # Create the directory if it doesn't exist directory_path = os.path.dirname(output_file_name) if not os.path.exists(directory_path): os.makedirs(directory_path) - components = user_yaml.get("spec", "resources").get("components") - open(output_file_name, "w").close() - with open(output_file_name, "a") as outfile: - for component in components: - if "template" in component: - outfile.write("---\n") - yaml.dump(component["template"], outfile, default_flow_style=False) - print(f"Written to: {output_file_name}") - - -def load_components( - user_yaml: dict, - name: str, -): - component_list = [] - components = user_yaml.get("spec", "resources").get("components") - for component in components: - if "template" in component: - component_list.append(component["template"]) - - resources = "---\n" + "---\n".join( - [yaml.dump(component) for component in component_list] - ) - user_yaml = resources - print(f"Yaml resources loaded for {name}") - return user_yaml - + with open(output_file_name, "w") as outfile: + yaml.dump(user_yaml, outfile, default_flow_style=False) -def load_appwrapper(user_yaml: dict, name: str): - user_yaml = yaml.dump(user_yaml) - print(f"Yaml resources loaded for {name}") - return user_yaml + print(f"Written to: {output_file_name}") def generate_appwrapper( @@ -315,27 +275,17 @@ def generate_appwrapper( template: str, image: str, appwrapper: bool, - instance_types: list, env, image_pull_secrets: list, write_to_file: bool, - verify_tls: bool, local_queue: Optional[str], labels, ): - user_yaml = read_template(template) + cluster_yaml = read_template(template) appwrapper_name, cluster_name = gen_names(name) - resources = user_yaml.get("spec", "resources") - item = resources.get("components")[0] - update_names( - user_yaml, - item, - appwrapper_name, - cluster_name, - namespace, - ) + update_names(cluster_yaml, cluster_name, namespace) update_nodes( - item, + cluster_yaml, appwrapper_name, min_cpu, max_cpu, @@ -350,27 +300,23 @@ def generate_appwrapper( head_memory, head_gpus, ) + augment_labels(cluster_yaml, labels) + notebook_annotations(cluster_yaml) - augment_labels(item, labels) - notebook_annotations(item) - - if appwrapper: - add_queue_label(user_yaml, namespace, local_queue) - else: - add_queue_label(item["template"], namespace, local_queue) + user_yaml = ( + wrap_cluster(cluster_yaml, appwrapper_name, namespace) + if appwrapper + else cluster_yaml + ) - directory_path = os.path.expanduser("~/.codeflare/resources/") - outfile = os.path.join(directory_path, appwrapper_name + ".yaml") + add_queue_label(user_yaml, namespace, local_queue) if write_to_file: - if appwrapper: - write_user_appwrapper(user_yaml, outfile) - else: - write_components(user_yaml, outfile) + directory_path = os.path.expanduser("~/.codeflare/resources/") + outfile = os.path.join(directory_path, appwrapper_name + ".yaml") + write_user_yaml(user_yaml, outfile) return outfile else: - if appwrapper: - user_yaml = load_appwrapper(user_yaml, name) - else: - user_yaml = load_components(user_yaml, name) + user_yaml = yaml.dump(user_yaml) + print(f"Yaml resources loaded for {name}") return user_yaml diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index b69c0d60..37d5d4db 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -1,4 +1,3 @@ ---- apiVersion: ray.io/v1 kind: RayCluster metadata: diff --git a/tests/unit_test.py b/tests/unit_test.py index b54d6549..bdd5ffad 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -73,8 +73,6 @@ from codeflare_sdk.utils.generate_yaml import ( gen_names, is_openshift_cluster, - read_template, - write_components, ) import openshift From c68d425377105a30ec591364f73b993991afaa47 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Tue, 18 Jun 2024 09:29:52 +0100 Subject: [PATCH 020/254] Added custom Volumes and Volume Mounts support --- src/codeflare_sdk/cluster/cluster.py | 4 ++++ src/codeflare_sdk/cluster/config.py | 2 ++ src/codeflare_sdk/utils/generate_yaml.py | 22 ++++++++++++++++++++++ 3 files changed, 28 insertions(+) diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index e5bbcd86..015f15ed 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -152,6 +152,8 @@ def create_app_wrapper(self): write_to_file = self.config.write_to_file local_queue = self.config.local_queue labels = self.config.labels + volumes = self.config.volumes + volume_mounts = self.config.volume_mounts return generate_appwrapper( name=name, namespace=namespace, @@ -172,6 +174,8 @@ def create_app_wrapper(self): write_to_file=write_to_file, local_queue=local_queue, labels=labels, + volumes=volumes, + volume_mounts=volume_mounts, ) # creates a new cluster with the provided or default spec diff --git a/src/codeflare_sdk/cluster/config.py b/src/codeflare_sdk/cluster/config.py index 9e069c37..97067365 100644 --- a/src/codeflare_sdk/cluster/config.py +++ b/src/codeflare_sdk/cluster/config.py @@ -53,6 +53,8 @@ class ClusterConfiguration: write_to_file: bool = False verify_tls: bool = True labels: dict = field(default_factory=dict) + volumes: list = field(default_factory=list) + volume_mounts: list = field(default_factory=list) def __post_init__(self): if not self.verify_tls: diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index 30edcd91..3192ae1b 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -96,6 +96,20 @@ def update_image_pull_secrets(spec, image_pull_secrets): ] +def update_volume_mounts(spec, volume_mounts: list): + containers = spec.get("containers") + for volume_mount in volume_mounts: + for container in containers: + volumeMount = client.ApiClient().sanitize_for_serialization(volume_mount) + container["volumeMounts"].append(volumeMount) + + +def update_volumes(spec, volumes: list): + for volume in volumes: + new_volume = client.ApiClient().sanitize_for_serialization(volume) + spec["volumes"].append(new_volume) + + def update_env(spec, env): containers = spec.get("containers") for container in containers: @@ -136,6 +150,8 @@ def update_nodes( head_cpus, head_memory, head_gpus, + volumes, + volume_mounts, ): head = cluster_yaml.get("spec").get("headGroupSpec") head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) @@ -150,6 +166,8 @@ def update_nodes( for comp in [head, worker]: spec = comp.get("template").get("spec") + update_volume_mounts(spec, volume_mounts) + update_volumes(spec, volumes) update_image_pull_secrets(spec, image_pull_secrets) update_image(spec, image) update_env(spec, env) @@ -280,6 +298,8 @@ def generate_appwrapper( write_to_file: bool, local_queue: Optional[str], labels, + volumes: list[client.V1Volume], + volume_mounts: list[client.V1VolumeMount], ): cluster_yaml = read_template(template) appwrapper_name, cluster_name = gen_names(name) @@ -299,6 +319,8 @@ def generate_appwrapper( head_cpus, head_memory, head_gpus, + volumes, + volume_mounts, ) augment_labels(cluster_yaml, labels) notebook_annotations(cluster_yaml) From 20476aa81f30c2faf6781c581bed3b1907ac590e Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Thu, 13 Jun 2024 15:25:59 +0100 Subject: [PATCH 021/254] Added Unit tests for custom volumes and volume mounts --- tests/unit-test-volume-cluster.yaml | 186 ++++++++++++++++++++++++++++ tests/unit_test.py | 62 ++++++++++ 2 files changed, 248 insertions(+) create mode 100644 tests/unit-test-volume-cluster.yaml diff --git a/tests/unit-test-volume-cluster.yaml b/tests/unit-test-volume-cluster.yaml new file mode 100644 index 00000000..542f1183 --- /dev/null +++ b/tests/unit-test-volume-cluster.yaml @@ -0,0 +1,186 @@ +apiVersion: ray.io/v1 +kind: RayCluster +metadata: + labels: + controller-tools.k8s.io: '1.0' + kueue.x-k8s.io/queue-name: local-queue-default + name: unit-test-volume-cluster + namespace: opendatahub +spec: + autoscalerOptions: + idleTimeoutSeconds: 60 + imagePullPolicy: Always + resources: + limits: + cpu: 500m + memory: 512Mi + requests: + cpu: 500m + memory: 512Mi + upscalingMode: Default + enableInTreeAutoscaling: false + headGroupSpec: + enableIngress: false + rayStartParams: + block: 'true' + dashboard-host: 0.0.0.0 + num-gpus: '0' + serviceType: ClusterIP + template: + spec: + containers: + - image: quay.io/project-codeflare/ray:latest-py39-cu118 + imagePullPolicy: Always + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: ray-head + ports: + - containerPort: 6379 + name: gcs + - containerPort: 8265 + name: dashboard + - containerPort: 10001 + name: client + resources: + limits: + cpu: 2 + memory: 8G + nvidia.com/gpu: 0 + requests: + cpu: 2 + memory: 8G + nvidia.com/gpu: 0 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /home/ray/test1 + name: test + - mountPath: /home/ray/test2 + name: test2 + - mountPath: /home/ray/test2 + name: test3 + imagePullSecrets: [] + volumes: + - configMap: + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-trusted-ca-cert + - configMap: + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-ca-cert + - emptyDir: + sizeLimit: 500Gi + name: test + - configMap: + items: + - key: test + path: /home/ray/test2/data.txt + name: config-map-test + name: test2 + - name: test3 + secret: + secretName: test-secret + rayVersion: 2.7.0 + workerGroupSpecs: + - groupName: small-group-unit-test-volume-cluster + maxReplicas: 1 + minReplicas: 1 + rayStartParams: + block: 'true' + num-gpus: '0' + replicas: 1 + template: + metadata: + annotations: + key: value + labels: + key: value + spec: + containers: + - image: quay.io/project-codeflare/ray:latest-py39-cu118 + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: machine-learning + resources: + limits: + cpu: 1 + memory: 2G + nvidia.com/gpu: 0 + requests: + cpu: 1 + memory: 2G + nvidia.com/gpu: 0 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /home/ray/test1 + name: test + - mountPath: /home/ray/test2 + name: test2 + - mountPath: /home/ray/test2 + name: test3 + imagePullSecrets: [] + volumes: + - configMap: + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-trusted-ca-cert + - configMap: + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-ca-cert + - emptyDir: + sizeLimit: 500Gi + name: test + - configMap: + items: + - key: test + path: /home/ray/test2/data.txt + name: config-map-test + name: test2 + - name: test3 + secret: + secretName: test-secret diff --git a/tests/unit_test.py b/tests/unit_test.py index bdd5ffad..892d8fe2 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -444,6 +444,68 @@ def test_default_cluster_creation(mocker): assert cluster.config.namespace == "opendatahub" +def test_cluster_with_custom_volumes(mocker): + mocker.patch("kubernetes.client.ApisApi.get_api_versions") + mocker.patch( + "codeflare_sdk.cluster.cluster.get_current_namespace", + return_value="opendatahub", + ) + mocker.patch( + "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", + return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), + ) + + from kubernetes.client import ( + V1Volume, + V1VolumeMount, + V1EmptyDirVolumeSource, + V1ConfigMapVolumeSource, + V1KeyToPath, + V1SecretVolumeSource, + ) + + volume_mounts = [ + V1VolumeMount(mount_path="/home/ray/test1", name="test"), + V1VolumeMount( + mount_path="/home/ray/test2", + name="test2", + ), + V1VolumeMount( + mount_path="/home/ray/test2", + name="test3", + ), + ] + + volumes = [ + V1Volume( + name="test", + empty_dir=V1EmptyDirVolumeSource(size_limit="500Gi"), + ), + V1Volume( + name="test2", + config_map=V1ConfigMapVolumeSource( + name="config-map-test", + items=[V1KeyToPath(key="test", path="/home/ray/test2/data.txt")], + ), + ), + V1Volume(name="test3", secret=V1SecretVolumeSource(secret_name="test-secret")), + ] + + test_config = ClusterConfiguration( + name="unit-test-volume-cluster", + image="quay.io/project-codeflare/ray:latest-py39-cu118", + volume_mounts=volume_mounts, + volumes=volumes, + ) + cluster = Cluster(test_config) + test_rc = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader) + with open( + f"{parent}/tests/unit-test-volume-cluster.yaml", + ) as f: + volume_rc = yaml.load(f, Loader=yaml.FullLoader) + assert test_rc == volume_rc + + def test_gen_names_with_name(mocker): mocker.patch.object( uuid, "uuid4", return_value=uuid.UUID("00000000-0000-0000-0000-000000000001") From f9e2ee8357a08838847c1400c73aa371bce5d024 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Wed, 8 May 2024 14:17:50 +0100 Subject: [PATCH 022/254] Updated Ray version to 2.20.0 --- .github/workflows/e2e_tests.yaml | 1 + poetry.lock | 279 +++++++----------- pyproject.toml | 4 +- .../templates/base-template.yaml | 2 +- tests/test-case-bad.yaml | 2 +- tests/test-case-no-mcad.yamls | 2 +- tests/test-case.yaml | 2 +- tests/test-default-appwrapper.yaml | 2 +- tests/unit_test.py | 6 +- 9 files changed, 114 insertions(+), 186 deletions(-) diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml index b83afb4b..08aeef11 100644 --- a/.github/workflows/e2e_tests.yaml +++ b/.github/workflows/e2e_tests.yaml @@ -43,6 +43,7 @@ jobs: sudo rm -rf /opt/ghc sudo rm -rf "/usr/local/share/boost" sudo rm -rf "$AGENT_TOOLSDIRECTORY" + sudo apt install python3.9 docker rmi $(docker image ls -aq) echo "Final status:" df -h diff --git a/poetry.lock b/poetry.lock index e0fa9acb..2bcedf96 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.1 and should not be changed by hand. 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(>=20.0.24,!=20.21.1)", "watchfiles"] train = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"] tune = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"] @@ -2426,7 +2354,6 @@ files = [ [package.dependencies] commonmark = ">=0.9.0,<0.10.0" pygments = ">=2.6.0,<3.0.0" -typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.9\""} [package.extras] jupyter = ["ipywidgets (>=7.5.1,<8.0.0)"] @@ -2735,13 +2662,13 @@ test = ["covdefaults (>=2.2.2)", "coverage (>=7.1)", "coverage-enable-subprocess [[package]] name = "wcwidth" -version = "0.2.12" +version = "0.2.13" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = "*" files = [ - {file = "wcwidth-0.2.12-py2.py3-none-any.whl", hash = "sha256:f26ec43d96c8cbfed76a5075dac87680124fa84e0855195a6184da9c187f133c"}, - {file = "wcwidth-0.2.12.tar.gz", hash = "sha256:f01c104efdf57971bcb756f054dd58ddec5204dd15fa31d6503ea57947d97c02"}, + {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, + {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, ] [[package]] @@ -2891,5 +2818,5 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" -python-versions = "^3.8" -content-hash = "e82f9c28e3f78682ca3e6d5414e1c1fe8f0bd62b5a992f749d8b7bd4bbd0273d" +python-versions = "^3.9" +content-hash = "d834cef86c5776cdd688c9ff9df9e31731bc829e1f319ec4ea86c17d33762af6" diff --git a/pyproject.toml b/pyproject.toml index 99d85a6b..a295e383 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,10 +20,10 @@ homepage = "https://github.com/project-codeflare/codeflare-sdk" keywords = ['codeflare', 'python', 'sdk', 'client', 'batch', 'scale'] [tool.poetry.dependencies] -python = "^3.8" +python = "^3.9" openshift-client = "1.0.18" rich = "^12.5" -ray = {version = "2.7.0", extras = ["data", "default"]} +ray = {version = "2.20.0", extras = ["data", "default"]} kubernetes = ">= 25.3.0, < 27" codeflare-torchx = "0.6.0.dev2" cryptography = "40.0.2" diff --git a/src/codeflare_sdk/templates/base-template.yaml b/src/codeflare_sdk/templates/base-template.yaml index 0e071961..07ab4104 100644 --- a/src/codeflare_sdk/templates/base-template.yaml +++ b/src/codeflare_sdk/templates/base-template.yaml @@ -12,7 +12,7 @@ metadata: namespace: default spec: # The version of Ray you are using. Make sure all Ray containers are running this version of Ray. - rayVersion: '2.7.0' + rayVersion: '2.20.0' # If enableInTreeAutoscaling is true, the autoscaler sidecar will be added to the Ray head pod. # Ray autoscaler integration is supported only for Ray versions >= 1.11.0 # Ray autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0. diff --git a/tests/test-case-bad.yaml b/tests/test-case-bad.yaml index 3c5bf076..b90cdeb1 100644 --- a/tests/test-case-bad.yaml +++ b/tests/test-case-bad.yaml @@ -68,7 +68,7 @@ spec: cpu: 2 memory: 8G nvidia.com/gpu: 0 - rayVersion: 1.12.0 + rayVersion: 2.20.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster maxReplicas: 2 diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index 37d5d4db..b3916c81 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -89,7 +89,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.7.0 + rayVersion: 2.20.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster-ray maxReplicas: 2 diff --git a/tests/test-case.yaml b/tests/test-case.yaml index 98166b37..4fd1edcc 100644 --- a/tests/test-case.yaml +++ b/tests/test-case.yaml @@ -94,7 +94,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.7.0 + rayVersion: 2.20.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster maxReplicas: 2 diff --git a/tests/test-default-appwrapper.yaml b/tests/test-default-appwrapper.yaml index f754c176..f2e8a39e 100644 --- a/tests/test-default-appwrapper.yaml +++ b/tests/test-default-appwrapper.yaml @@ -93,7 +93,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.7.0 + rayVersion: 2.20.0 workerGroupSpecs: - groupName: small-group-unit-test-default-cluster maxReplicas: 1 diff --git a/tests/unit_test.py b/tests/unit_test.py index 892d8fe2..a05872c4 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -1245,7 +1245,7 @@ def get_ray_obj(group, version, namespace, plural, cls=None): }, }, }, - "rayVersion": "2.7.0", + "rayVersion": "2.20.0", "workerGroupSpecs": [ { "groupName": "small-group-quicktest", @@ -1479,7 +1479,7 @@ def get_ray_obj(group, version, namespace, plural, cls=None): } }, }, - "rayVersion": "1.12.0", + "rayVersion": "2.20.0", "workerGroupSpecs": [ { "groupName": "small-group-quicktest2", @@ -1852,7 +1852,7 @@ def get_aw_obj(group, version, namespace, plural): } }, }, - "rayVersion": "1.12.0", + "rayVersion": "2.20.0", "workerGroupSpecs": [ { "groupName": "small-group-quicktest", From b3950fc28053af3a67b8491b6647061f541109fc Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Wed, 29 May 2024 09:55:29 +0100 Subject: [PATCH 023/254] Removed python3.9 installation step --- .github/workflows/e2e_tests.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml index 08aeef11..b83afb4b 100644 --- a/.github/workflows/e2e_tests.yaml +++ b/.github/workflows/e2e_tests.yaml @@ -43,7 +43,6 @@ jobs: sudo rm -rf /opt/ghc sudo rm -rf "/usr/local/share/boost" sudo rm -rf "$AGENT_TOOLSDIRECTORY" - sudo apt install python3.9 docker rmi $(docker image ls -aq) echo "Final status:" df -h From c51ab98d85deea2893b898cfb9f31fc8790b588e Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Mon, 10 Jun 2024 11:39:31 +0100 Subject: [PATCH 024/254] Replaced old ray image with new 2.20.0 image --- src/codeflare_sdk/templates/base-template.yaml | 4 ++-- tests/e2e/support.py | 2 +- tests/test-case-bad.yaml | 4 ++-- tests/test-case-no-mcad.yamls | 4 ++-- tests/test-case.yaml | 4 ++-- tests/test-default-appwrapper.yaml | 4 ++-- tests/unit-test-volume-cluster.yaml | 6 +++--- tests/unit_test.py | 18 +++++++++--------- tests/unit_test_support.py | 2 +- 9 files changed, 24 insertions(+), 24 deletions(-) diff --git a/src/codeflare_sdk/templates/base-template.yaml b/src/codeflare_sdk/templates/base-template.yaml index 07ab4104..5c0c919d 100644 --- a/src/codeflare_sdk/templates/base-template.yaml +++ b/src/codeflare_sdk/templates/base-template.yaml @@ -69,7 +69,7 @@ spec: containers: # The Ray head pod - name: ray-head - image: quay.io/project-codeflare/ray:latest-py39-cu118 + image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 imagePullPolicy: Always ports: - containerPort: 6379 @@ -152,7 +152,7 @@ spec: spec: containers: - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name', or '123-abc' - image: quay.io/project-codeflare/ray:latest-py39-cu118 + image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 # environment variables to set in the container.Optional. # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/ lifecycle: diff --git a/tests/e2e/support.py b/tests/e2e/support.py index a3dfd89b..04c9cb42 100644 --- a/tests/e2e/support.py +++ b/tests/e2e/support.py @@ -8,7 +8,7 @@ def get_ray_image(): - default_ray_image = "quay.io/project-codeflare/ray:latest-py39-cu118" + default_ray_image = "quay.io/project-codeflare/ray:2.20.0-py39-cu118" return os.getenv("RAY_IMAGE", default_ray_image) diff --git a/tests/test-case-bad.yaml b/tests/test-case-bad.yaml index b90cdeb1..18dcb7d7 100644 --- a/tests/test-case-bad.yaml +++ b/tests/test-case-bad.yaml @@ -42,7 +42,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/project-codeflare/ray:latest-py39-cu118 + image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 imagePullPolicy: Always lifecycle: preStop: @@ -90,7 +90,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/project-codeflare/ray:latest-py39-cu118 + image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 lifecycle: preStop: exec: diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index b3916c81..d8d2516c 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -33,7 +33,7 @@ spec: template: spec: containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 + - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 imagePullPolicy: Always lifecycle: preStop: @@ -106,7 +106,7 @@ spec: key: value spec: containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 + - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 lifecycle: preStop: exec: diff --git a/tests/test-case.yaml b/tests/test-case.yaml index 4fd1edcc..c5229ce7 100644 --- a/tests/test-case.yaml +++ b/tests/test-case.yaml @@ -38,7 +38,7 @@ spec: template: spec: containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 + - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 imagePullPolicy: Always lifecycle: preStop: @@ -111,7 +111,7 @@ spec: key: value spec: containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 + - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 lifecycle: preStop: exec: diff --git a/tests/test-default-appwrapper.yaml b/tests/test-default-appwrapper.yaml index f2e8a39e..8fd1873f 100644 --- a/tests/test-default-appwrapper.yaml +++ b/tests/test-default-appwrapper.yaml @@ -38,7 +38,7 @@ spec: template: spec: containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 + - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 imagePullPolicy: Always lifecycle: preStop: @@ -110,7 +110,7 @@ spec: key: value spec: containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 + - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 lifecycle: preStop: exec: diff --git a/tests/unit-test-volume-cluster.yaml b/tests/unit-test-volume-cluster.yaml index 542f1183..67d2c6b2 100644 --- a/tests/unit-test-volume-cluster.yaml +++ b/tests/unit-test-volume-cluster.yaml @@ -29,7 +29,7 @@ spec: template: spec: containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 + - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 imagePullPolicy: Always lifecycle: preStop: @@ -102,7 +102,7 @@ spec: - name: test3 secret: secretName: test-secret - rayVersion: 2.7.0 + rayVersion: 2.20.0 workerGroupSpecs: - groupName: small-group-unit-test-volume-cluster maxReplicas: 1 @@ -119,7 +119,7 @@ spec: key: value spec: containers: - - image: quay.io/project-codeflare/ray:latest-py39-cu118 + - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 lifecycle: preStop: exec: diff --git a/tests/unit_test.py b/tests/unit_test.py index a05872c4..4b48b173 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -261,7 +261,7 @@ def test_config_creation(): assert config.min_cpus == 3 and config.max_cpus == 4 assert config.min_memory == "5G" and config.max_memory == "6G" assert config.num_gpus == 7 - assert config.image == "quay.io/project-codeflare/ray:latest-py39-cu118" + assert config.image == "quay.io/project-codeflare/ray:2.20.0-py39-cu118" assert config.template == f"{parent}/src/codeflare_sdk/templates/base-template.yaml" assert config.machine_types == ["cpu.small", "gpu.large"] assert config.image_pull_secrets == ["unit-test-pull-secret"] @@ -400,7 +400,7 @@ def test_cluster_creation_no_mcad_local_queue(mocker): num_gpus=7, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], - image="quay.io/project-codeflare/ray:latest-py39-cu118", + image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", write_to_file=True, appwrapper=False, local_queue="local-queue-default", @@ -428,7 +428,7 @@ def test_default_cluster_creation(mocker): ) default_config = ClusterConfiguration( name="unit-test-default-cluster", - image="quay.io/project-codeflare/ray:latest-py39-cu118", + image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", appwrapper=True, ) cluster = Cluster(default_config) @@ -493,7 +493,7 @@ def test_cluster_with_custom_volumes(mocker): test_config = ClusterConfiguration( name="unit-test-volume-cluster", - image="quay.io/project-codeflare/ray:latest-py39-cu118", + image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", volume_mounts=volume_mounts, volumes=volumes, ) @@ -839,7 +839,7 @@ def test_ray_job_wrapping(mocker): return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), ) cluster = cluster = createClusterWithConfig(mocker) - cluster.config.image = "quay.io/project-codeflare/ray:latest-py39-cu118" + cluster.config.image = "quay.io/project-codeflare/ray:2.20.0-py39-cu118" mocker.patch( "ray.job_submission.JobSubmissionClient._check_connection_and_version_with_url", return_value="None", @@ -959,7 +959,7 @@ def test_ray_details(mocker, capsys): ClusterConfiguration( name="raytest2", namespace="ns", - image="quay.io/project-codeflare/ray:latest-py39-cu118", + image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", write_to_file=True, appwrapper=True, local_queue="local_default_queue", @@ -2352,7 +2352,7 @@ def test_cluster_status(mocker): ClusterConfiguration( name="test", namespace="ns", - image="quay.io/project-codeflare/ray:latest-py39-cu118", + image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", write_to_file=True, appwrapper=True, local_queue="local_default_queue", @@ -2447,7 +2447,7 @@ def test_wait_ready(mocker, capsys): ClusterConfiguration( name="test", namespace="ns", - image="quay.io/project-codeflare/ray:latest-py39-cu118", + image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", write_to_file=True, appwrapper=True, local_queue="local-queue-default", @@ -2674,7 +2674,7 @@ def throw_if_getting_raycluster(group, version, namespace, plural): cluster = Cluster( ClusterConfiguration( "test_cluster", - image="quay.io/project-codeflare/ray:latest-py39-cu118", + image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", write_to_file=False, ) ) diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index baa14aac..6e662db4 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -17,7 +17,7 @@ def createClusterConfig(): appwrapper=True, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], - image="quay.io/project-codeflare/ray:latest-py39-cu118", + image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", write_to_file=True, ) return config From 1e80e62bb2f141ddb0e6a04710ce9e8802f11b32 Mon Sep 17 00:00:00 2001 From: Fiona Waters Date: Thu, 23 May 2024 16:49:29 +0100 Subject: [PATCH 025/254] updating training script in basic_interactive notebook --- .../additional-demos/hf_interactive.ipynb | 125 ++++++++++-------- .../guided-demos/2_basic_interactive.ipynb | 119 +++++++++-------- .../2_basic_interactive.ipynb | 115 +++++++++------- .../preview_nbs/2_basic_interactive.ipynb | 115 +++++++++------- tests/unit_test.py | 4 + 5 files changed, 269 insertions(+), 209 deletions(-) diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb index 9a362321..a7b004cb 100644 --- a/demo-notebooks/additional-demos/hf_interactive.ipynb +++ b/demo-notebooks/additional-demos/hf_interactive.ipynb @@ -13,7 +13,7 @@ "id": "d4acfb10-1aa1-445d-947e-396ea5ebed1a", "metadata": {}, "source": [ - "In this notebook you will learn how to leverage the **[huggingface](https://huggingface.co/)** support in ray ecosystem to carry out a text classification task using transfer learning. We will be referencing the example **[here](https://huggingface.co/docs/transformers/tasks/sequence_classification)**" + "In this notebook you will learn how to leverage the **[huggingface](https://huggingface.co/)** support in ray ecosystem to carry out a text classification task using transfer learning. We will be referencing the examples **[here](https://huggingface.co/docs/transformers/tasks/sequence_classification)** and **[here](https://docs.ray.io/en/latest/train/getting-started-transformers.html)**." ] }, { @@ -21,9 +21,7 @@ "id": "70b77929-e96c-434e-ada3-8b14795bfbb1", "metadata": {}, "source": [ - "The example carries out a text classification task on **[imdb dataset](https://huggingface.co/datasets/imdb)** and tries to classify the movie reviews as positive or negative. Huggingface library provides an easy way to build a model and the dataset to carry out this classification task. In this case we will be using **distilbert-base-uncased** model which is a **BERT** based model.\n", - "\n", - "Huggingface has a **[built in support for ray ecosystem](https://docs.ray.io/en/releases-1.13.0/_modules/ray/ml/train/integrations/huggingface/huggingface_trainer.html)** which allows the huggingface trainer to scale on CodeFlare and can scale the training as we add additional gpus and can run distributed training across multiple GPUs that will help scale out the training.\n" + "The example carries out a text classification task on **[imdb dataset](https://huggingface.co/datasets/imdb)** and tries to classify the movie reviews as positive or negative. Huggingface library provides an easy way to build a model and the dataset to carry out this classification task. In this case we will be using **distilbert-base-uncased** model which is a **BERT** based model." ] }, { @@ -317,14 +315,13 @@ "assert ray_cluster_uri, \"Ray cluster needs to be started and set before proceeding\"\n", "\n", "import ray\n", - "from ray.air.config import ScalingConfig\n", "\n", "# reset the ray context in case there's already one. \n", "ray.shutdown()\n", "# establish connection to ray cluster\n", "\n", "#install additional libraries that will be required for this training\n", - "runtime_env = {\"pip\": [\"transformers\", \"datasets\", \"evaluate\", \"pyarrow<7.0.0\", \"accelerate\"]}\n", + "runtime_env = {\"pip\": [\"transformers==4.41.2\", \"datasets==2.17.0\", \"accelerate==0.31.0\", \"scikit-learn==1.5.0\"]}\n", "\n", "# NOTE: This will work for in-cluster notebook servers (RHODS/ODH), but not for local machines\n", "# To see how to connect from your laptop, go to demo-notebooks/additional-demos/local_interactive.ipynb\n", @@ -354,7 +351,7 @@ "id": "8bdbe888-4f38-4e9a-ae43-67ce89ff9d42", "metadata": {}, "source": [ - "We are using the code based on the example **[here](https://huggingface.co/docs/transformers/tasks/sequence_classification)** . " + "We are using the code based on the examples **[here](https://huggingface.co/docs/transformers/tasks/sequence_classification)** and **[here](https://docs.ray.io/en/latest/train/getting-started-transformers.html)**. " ] }, { @@ -366,66 +363,83 @@ "source": [ "@ray.remote\n", "def train_fn():\n", - " from datasets import load_dataset\n", - " import transformers\n", - " from transformers import AutoTokenizer, TrainingArguments\n", - " from transformers import AutoModelForSequenceClassification\n", + " import os\n", " import numpy as np\n", - " from datasets import load_metric\n", - " import ray\n", - " from ray import tune\n", - " from ray.train.huggingface import HuggingFaceTrainer\n", - "\n", - " dataset = load_dataset(\"imdb\")\n", - " tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")\n", - "\n", - " def tokenize_function(examples):\n", - " return tokenizer(examples[\"text\"], padding=\"max_length\", truncation=True)\n", + " from datasets import load_dataset, load_metric\n", + " import transformers\n", + " from transformers import (\n", + " Trainer,\n", + " TrainingArguments,\n", + " AutoTokenizer,\n", + " AutoModelForSequenceClassification,\n", + " )\n", + " import ray.train.huggingface.transformers\n", + " from ray.train import ScalingConfig\n", + " from ray.train.torch import TorchTrainer\n", "\n", - " tokenized_datasets = dataset.map(tokenize_function, batched=True)\n", + " # When running in a multi-node cluster you will need persistent storage that is accessible across all worker nodes. \n", + " # See www.github.com/project-codeflare/codeflare-sdk/tree/main/docs/s3-compatible-storage.md for more information.\n", + " \n", + " def train_func():\n", + " # Datasets\n", + " dataset = load_dataset(\"imdb\")\n", + " tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")\n", "\n", - " #using a fraction of dataset but you can run with the full dataset\n", - " small_train_dataset = tokenized_datasets[\"train\"].shuffle(seed=42).select(range(100))\n", - " small_eval_dataset = tokenized_datasets[\"test\"].shuffle(seed=42).select(range(100))\n", + " def tokenize_function(examples):\n", + " return tokenizer(examples[\"text\"], padding=\"max_length\", truncation=True)\n", "\n", - " print(f\"len of train {small_train_dataset} and test {small_eval_dataset}\")\n", + " small_train_dataset = (\n", + " dataset[\"train\"].select(range(100)).map(tokenize_function, batched=True)\n", + " )\n", + " small_eval_dataset = (\n", + " dataset[\"test\"].select(range(100)).map(tokenize_function, batched=True)\n", + " )\n", "\n", - " ray_train_ds = ray.data.from_huggingface(small_train_dataset)\n", - " ray_evaluation_ds = ray.data.from_huggingface(small_eval_dataset)\n", + " # Model\n", + " model = AutoModelForSequenceClassification.from_pretrained(\n", + " \"distilbert-base-uncased\", num_labels=2\n", + " )\n", "\n", - " def compute_metrics(eval_pred):\n", - " metric = load_metric(\"accuracy\")\n", - " logits, labels = eval_pred\n", - " predictions = np.argmax(logits, axis=-1)\n", - " return metric.compute(predictions=predictions, references=labels)\n", + " def compute_metrics(eval_pred):\n", + " metric = load_metric(\"accuracy\")\n", + " logits, labels = eval_pred\n", + " predictions = np.argmax(logits, axis=-1)\n", + " return metric.compute(predictions=predictions, references=labels)\n", "\n", - " def trainer_init_per_worker(train_dataset, eval_dataset, **config):\n", - " model = AutoModelForSequenceClassification.from_pretrained(\"distilbert-base-uncased\", num_labels=2)\n", + " # Hugging Face Trainer\n", + " training_args = TrainingArguments(\n", + " output_dir=\"test_trainer\",\n", + " evaluation_strategy=\"epoch\",\n", + " save_strategy=\"epoch\",\n", + " report_to=\"none\",\n", + " )\n", "\n", - " training_args = TrainingArguments(\"/tmp/hf_imdb/test\", eval_steps=1, disable_tqdm=True, \n", - " num_train_epochs=1, skip_memory_metrics=True,\n", - " learning_rate=2e-5,\n", - " per_device_train_batch_size=16,\n", - " per_device_eval_batch_size=16, \n", - " weight_decay=0.01,)\n", - " return transformers.Trainer(\n", + " trainer = Trainer(\n", " model=model,\n", " args=training_args,\n", - " train_dataset=train_dataset,\n", - " eval_dataset=eval_dataset,\n", - " compute_metrics=compute_metrics\n", + " train_dataset=small_train_dataset,\n", + " eval_dataset=small_eval_dataset,\n", + " compute_metrics=compute_metrics,\n", " )\n", "\n", - " scaling_config = ScalingConfig(num_workers=4, use_gpu=True) #num workers is the number of gpus\n", "\n", - " # we are using the ray native HuggingFaceTrainer, but you can swap out to use non ray Huggingface Trainer. Both have the same method signature. \n", - " # the ray native HFTrainer has built in support for scaling to multiple GPUs\n", - " trainer = HuggingFaceTrainer(\n", - " trainer_init_per_worker=trainer_init_per_worker,\n", - " scaling_config=scaling_config,\n", - " datasets={\"train\": ray_train_ds, \"evaluation\": ray_evaluation_ds},\n", + " callback = ray.train.huggingface.transformers.RayTrainReportCallback()\n", + " trainer.add_callback(callback)\n", + "\n", + " trainer = ray.train.huggingface.transformers.prepare_trainer(trainer)\n", + "\n", + " trainer.train()\n", + "\n", + "\n", + " ray_trainer = TorchTrainer(\n", + " train_func,\n", + " scaling_config=ScalingConfig(num_workers=3, use_gpu=True),\n", + " # Configure persistent storage that is accessible across \n", + " # all worker nodes.\n", + " # Uncomment and update the RunConfig below to include your storage details.\n", + " # run_config=ray.train.RunConfig(storage_path=\"storage path\"),\n", " )\n", - " result = trainer.fit()\n" + " result: ray.train.Result = ray_trainer.fit()" ] }, { @@ -1443,10 +1457,7 @@ "metadata": {}, "source": [ "## Conclusion\n", - "As shown in the above example, you can easily run your Huggingface transfer learning tasks easily and natively on CodeFlare. You can scale them from 1 to n GPUs without requiring you to make any significant code changes and leveraging the native Huggingface trainer. \n", - "\n", - "Also refer to additional notebooks that showcase other use cases\n", - "In our next notebook [./02_codeflare_workflows_encoding.ipynb ] shows an sklearn example and how you can leverage workflows to run experiment pipelines and explore multiple pipelines in parallel on CodeFlare cluster. \n" + "As shown in the above example, you can run your Huggingface transfer learning tasks easily and natively on CodeFlare. You can scale them from 1 to n GPUs without requiring you to make any significant code changes and leveraging the native Huggingface trainer. " ] }, { diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb index 6cee82e1..86142714 100644 --- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -148,19 +148,17 @@ "metadata": {}, "outputs": [], "source": [ - "#before proceeding make sure the cluster exists and the uri is not empty\n", + "# before proceeding make sure the cluster exists and the uri is not empty\n", "assert ray_cluster_uri, \"Ray cluster needs to be started and set before proceeding\"\n", "\n", "import ray\n", - "from ray.air.config import ScalingConfig\n", "\n", "# reset the ray context in case there's already one. \n", "ray.shutdown()\n", "# establish connection to ray cluster\n", "\n", - "#install additional libraries that will be required for model training\n", - "runtime_env = {\"pip\": [\"transformers\", \"datasets\", \"evaluate\", \"pyarrow<7.0.0\", \"accelerate\"]}\n", - "\n", + "# install additional libraries that will be required for model training\n", + "runtime_env = {\"pip\": [\"transformers==4.41.2\", \"datasets==2.17.0\", \"accelerate==0.31.0\", \"scikit-learn==1.5.0\"]}\n", "# NOTE: This will work for in-cluster notebook servers (RHODS/ODH), but not for local machines\n", "# To see how to connect from your laptop, go to demo-notebooks/additional-demos/local_interactive.ipynb\n", "ray.init(address=ray_cluster_uri, runtime_env=runtime_env)\n", @@ -173,7 +171,7 @@ "id": "9711030b", "metadata": {}, "source": [ - "Now that we are connected (and have passed in some package requirements), let's try writing some training code for a DistilBERT transformer model via HuggingFace (using IMDB dataset):" + "Now that we are connected (and have passed in some package requirements), let's try writing some training code:" ] }, { @@ -185,66 +183,83 @@ "source": [ "@ray.remote\n", "def train_fn():\n", - " from datasets import load_dataset\n", - " import transformers\n", - " from transformers import AutoTokenizer, TrainingArguments\n", - " from transformers import AutoModelForSequenceClassification\n", + " import os\n", " import numpy as np\n", - " from datasets import load_metric\n", - " import ray\n", - " from ray import tune\n", - " from ray.train.huggingface import HuggingFaceTrainer\n", - "\n", - " dataset = load_dataset(\"imdb\")\n", - " tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")\n", - "\n", - " def tokenize_function(examples):\n", - " return tokenizer(examples[\"text\"], padding=\"max_length\", truncation=True)\n", + " from datasets import load_dataset, load_metric\n", + " import transformers\n", + " from transformers import (\n", + " Trainer,\n", + " TrainingArguments,\n", + " AutoTokenizer,\n", + " AutoModelForSequenceClassification,\n", + " )\n", + " import ray.train.huggingface.transformers\n", + " from ray.train import ScalingConfig\n", + " from ray.train.torch import TorchTrainer\n", "\n", - " tokenized_datasets = dataset.map(tokenize_function, batched=True)\n", + " # When running in a multi-node cluster you will need persistent storage that is accessible across all worker nodes. \n", + " # See www.github.com/project-codeflare/codeflare-sdk/tree/main/docs/s3-compatible-storage.md for more information.\n", + " \n", + " def train_func():\n", + " # Datasets\n", + " dataset = load_dataset(\"imdb\")\n", + " tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")\n", "\n", - " #using a fraction of dataset but you can run with the full dataset\n", - " small_train_dataset = tokenized_datasets[\"train\"].shuffle(seed=42).select(range(100))\n", - " small_eval_dataset = tokenized_datasets[\"test\"].shuffle(seed=42).select(range(100))\n", + " def tokenize_function(examples):\n", + " return tokenizer(examples[\"text\"], padding=\"max_length\", truncation=True)\n", "\n", - " print(f\"len of train {small_train_dataset} and test {small_eval_dataset}\")\n", + " small_train_dataset = (\n", + " dataset[\"train\"].select(range(100)).map(tokenize_function, batched=True)\n", + " )\n", + " small_eval_dataset = (\n", + " dataset[\"test\"].select(range(100)).map(tokenize_function, batched=True)\n", + " )\n", "\n", - " ray_train_ds = ray.data.from_huggingface(small_train_dataset)\n", - " ray_evaluation_ds = ray.data.from_huggingface(small_eval_dataset)\n", + " # Model\n", + " model = AutoModelForSequenceClassification.from_pretrained(\n", + " \"distilbert-base-uncased\", num_labels=2\n", + " )\n", "\n", - " def compute_metrics(eval_pred):\n", - " metric = load_metric(\"accuracy\")\n", - " logits, labels = eval_pred\n", - " predictions = np.argmax(logits, axis=-1)\n", - " return metric.compute(predictions=predictions, references=labels)\n", + " def compute_metrics(eval_pred):\n", + " metric = load_metric(\"accuracy\")\n", + " logits, labels = eval_pred\n", + " predictions = np.argmax(logits, axis=-1)\n", + " return metric.compute(predictions=predictions, references=labels)\n", "\n", - " def trainer_init_per_worker(train_dataset, eval_dataset, **config):\n", - " model = AutoModelForSequenceClassification.from_pretrained(\"distilbert-base-uncased\", num_labels=2)\n", + " # Hugging Face Trainer\n", + " training_args = TrainingArguments(\n", + " output_dir=\"test_trainer\",\n", + " evaluation_strategy=\"epoch\",\n", + " save_strategy=\"epoch\",\n", + " report_to=\"none\",\n", + " )\n", "\n", - " training_args = TrainingArguments(\"/tmp/hf_imdb/test\", eval_steps=1, disable_tqdm=True, \n", - " num_train_epochs=1, skip_memory_metrics=True,\n", - " learning_rate=2e-5,\n", - " per_device_train_batch_size=16,\n", - " per_device_eval_batch_size=16, \n", - " weight_decay=0.01,)\n", - " return transformers.Trainer(\n", + " trainer = Trainer(\n", " model=model,\n", " args=training_args,\n", - " train_dataset=train_dataset,\n", - " eval_dataset=eval_dataset,\n", - " compute_metrics=compute_metrics\n", + " train_dataset=small_train_dataset,\n", + " eval_dataset=small_eval_dataset,\n", + " compute_metrics=compute_metrics,\n", " )\n", "\n", - " scaling_config = ScalingConfig(num_workers=2, use_gpu=True) #num workers is the number of gpus\n", "\n", - " # we are using the ray native HuggingFaceTrainer, but you can swap out to use non ray Huggingface Trainer. Both have the same method signature. \n", - " # the ray native HFTrainer has built in support for scaling to multiple GPUs\n", - " trainer = HuggingFaceTrainer(\n", - " trainer_init_per_worker=trainer_init_per_worker,\n", - " scaling_config=scaling_config,\n", - " datasets={\"train\": ray_train_ds, \"evaluation\": ray_evaluation_ds},\n", + " callback = ray.train.huggingface.transformers.RayTrainReportCallback()\n", + " trainer.add_callback(callback)\n", + "\n", + " trainer = ray.train.huggingface.transformers.prepare_trainer(trainer)\n", + "\n", + " trainer.train()\n", + "\n", + "\n", + " ray_trainer = TorchTrainer(\n", + " train_func,\n", + " scaling_config=ScalingConfig(num_workers=3, use_gpu=True),\n", + " # Configure persistent storage that is accessible across \n", + " # all worker nodes.\n", + " # Uncomment and update the RunConfig below to include your storage details.\n", + " # run_config=ray.train.RunConfig(storage_path=\"storage path\"),\n", " )\n", - " result = trainer.fit()" + " result: ray.train.Result = ray_trainer.fit()" ] }, { diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb index ff88d621..5ae66a0c 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb @@ -244,15 +244,13 @@ "assert ray_cluster_uri, \"Ray cluster needs to be started and set before proceeding\"\n", "\n", "import ray\n", - "from ray.air.config import ScalingConfig\n", "\n", "# reset the ray context in case there's already one. \n", "ray.shutdown()\n", "# establish connection to ray cluster\n", "\n", "#install additional libraries that will be required for model training\n", - "runtime_env = {\"pip\": [\"transformers\", \"datasets\", \"evaluate\", \"pyarrow<7.0.0\", \"accelerate\"]}\n", - "\n", + "runtime_env = {\"pip\": [\"transformers==4.41.2\", \"datasets==2.17.0\", \"accelerate==0.31.0\", \"scikit-learn==1.5.0\"]}\n", "# NOTE: This will work for in-cluster notebook servers (RHODS/ODH), but not for local machines\n", "# To see how to connect from your laptop, go to demo-notebooks/additional-demos/local_interactive.ipynb\n", "ray.init(address=ray_cluster_uri, runtime_env=runtime_env)\n", @@ -265,7 +263,7 @@ "id": "9711030b", "metadata": {}, "source": [ - "Now that we are connected (and have passed in some package requirements), let's try writing some training code for a DistilBERT transformer model via HuggingFace (using IMDB dataset):" + "Now that we are connected (and have passed in some package requirements), let's try writing some training code:" ] }, { @@ -277,66 +275,83 @@ "source": [ "@ray.remote\n", "def train_fn():\n", - " from datasets import load_dataset\n", - " import transformers\n", - " from transformers import AutoTokenizer, TrainingArguments\n", - " from transformers import AutoModelForSequenceClassification\n", + " import os\n", " import numpy as np\n", - " from datasets import load_metric\n", - " import ray\n", - " from ray import tune\n", - " from ray.train.huggingface import HuggingFaceTrainer\n", - "\n", - " dataset = load_dataset(\"imdb\")\n", - " tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")\n", - "\n", - " def tokenize_function(examples):\n", - " return tokenizer(examples[\"text\"], padding=\"max_length\", truncation=True)\n", + " from datasets import load_dataset, load_metric\n", + " import transformers\n", + " from transformers import (\n", + " Trainer,\n", + " TrainingArguments,\n", + " AutoTokenizer,\n", + " AutoModelForSequenceClassification,\n", + " )\n", + " import ray.train.huggingface.transformers\n", + " from ray.train import ScalingConfig\n", + " from ray.train.torch import TorchTrainer\n", "\n", - " tokenized_datasets = dataset.map(tokenize_function, batched=True)\n", + " # When running in a multi-node cluster you will need persistent storage that is accessible across all worker nodes. \n", + " # See www.github.com/project-codeflare/codeflare-sdk/tree/main/docs/s3-compatible-storage.md for more information.\n", + " \n", + " def train_func():\n", + " # Datasets\n", + " dataset = load_dataset(\"imdb\")\n", + " tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")\n", "\n", - " #using a fraction of dataset but you can run with the full dataset\n", - " small_train_dataset = tokenized_datasets[\"train\"].shuffle(seed=42).select(range(100))\n", - " small_eval_dataset = tokenized_datasets[\"test\"].shuffle(seed=42).select(range(100))\n", + " def tokenize_function(examples):\n", + " return tokenizer(examples[\"text\"], padding=\"max_length\", truncation=True)\n", "\n", - " print(f\"len of train {small_train_dataset} and test {small_eval_dataset}\")\n", + " small_train_dataset = (\n", + " dataset[\"train\"].select(range(100)).map(tokenize_function, batched=True)\n", + " )\n", + " small_eval_dataset = (\n", + " dataset[\"test\"].select(range(100)).map(tokenize_function, batched=True)\n", + " )\n", "\n", - " ray_train_ds = ray.data.from_huggingface(small_train_dataset)\n", - " ray_evaluation_ds = ray.data.from_huggingface(small_eval_dataset)\n", + " # Model\n", + " model = AutoModelForSequenceClassification.from_pretrained(\n", + " \"distilbert-base-uncased\", num_labels=2\n", + " )\n", "\n", - " def compute_metrics(eval_pred):\n", - " metric = load_metric(\"accuracy\")\n", - " logits, labels = eval_pred\n", - " predictions = np.argmax(logits, axis=-1)\n", - " return metric.compute(predictions=predictions, references=labels)\n", + " def compute_metrics(eval_pred):\n", + " metric = load_metric(\"accuracy\")\n", + " logits, labels = eval_pred\n", + " predictions = np.argmax(logits, axis=-1)\n", + " return metric.compute(predictions=predictions, references=labels)\n", "\n", - " def trainer_init_per_worker(train_dataset, eval_dataset, **config):\n", - " model = AutoModelForSequenceClassification.from_pretrained(\"distilbert-base-uncased\", num_labels=2)\n", + " # Hugging Face Trainer\n", + " training_args = TrainingArguments(\n", + " output_dir=\"test_trainer\",\n", + " evaluation_strategy=\"epoch\",\n", + " save_strategy=\"epoch\",\n", + " report_to=\"none\",\n", + " )\n", "\n", - " training_args = TrainingArguments(\"/tmp/hf_imdb/test\", eval_steps=1, disable_tqdm=True, \n", - " num_train_epochs=1, skip_memory_metrics=True,\n", - " learning_rate=2e-5,\n", - " per_device_train_batch_size=16,\n", - " per_device_eval_batch_size=16, \n", - " weight_decay=0.01,)\n", - " return transformers.Trainer(\n", + " trainer = Trainer(\n", " model=model,\n", " args=training_args,\n", - " train_dataset=train_dataset,\n", - " eval_dataset=eval_dataset,\n", - " compute_metrics=compute_metrics\n", + " train_dataset=small_train_dataset,\n", + " eval_dataset=small_eval_dataset,\n", + " compute_metrics=compute_metrics,\n", " )\n", "\n", - " scaling_config = ScalingConfig(num_workers=2, use_gpu=True) #num workers is the number of gpus\n", "\n", - " # we are using the ray native HuggingFaceTrainer, but you can swap out to use non ray Huggingface Trainer. Both have the same method signature. \n", - " # the ray native HFTrainer has built in support for scaling to multiple GPUs\n", - " trainer = HuggingFaceTrainer(\n", - " trainer_init_per_worker=trainer_init_per_worker,\n", - " scaling_config=scaling_config,\n", - " datasets={\"train\": ray_train_ds, \"evaluation\": ray_evaluation_ds},\n", + " callback = ray.train.huggingface.transformers.RayTrainReportCallback()\n", + " trainer.add_callback(callback)\n", + "\n", + " trainer = ray.train.huggingface.transformers.prepare_trainer(trainer)\n", + "\n", + " trainer.train()\n", + "\n", + "\n", + " ray_trainer = TorchTrainer(\n", + " train_func,\n", + " scaling_config=ScalingConfig(num_workers=3, use_gpu=True),\n", + " # Configure persistent storage that is accessible across \n", + " # all worker nodes.\n", + " # Uncomment and update the RunConfig below to include your storage details.\n", + " # run_config=ray.train.RunConfig(storage_path=\"storage path\"),\n", " )\n", - " result = trainer.fit()" + " result: ray.train.Result = ray_trainer.fit()" ] }, { diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb index 44846f61..d7d4d69d 100644 --- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb @@ -152,15 +152,13 @@ "assert ray_cluster_uri, \"Ray cluster needs to be started and set before proceeding\"\n", "\n", "import ray\n", - "from ray.air.config import ScalingConfig\n", "\n", "# reset the ray context in case there's already one. \n", "ray.shutdown()\n", "# establish connection to ray cluster\n", "\n", "#install additional libraries that will be required for model training\n", - "runtime_env = {\"pip\": [\"transformers\", \"datasets\", \"evaluate\", \"pyarrow<7.0.0\", \"accelerate\"]}\n", - "\n", + "runtime_env = {\"pip\": [\"transformers==4.41.2\", \"datasets==2.17.0\", \"accelerate==0.31.0\", \"scikit-learn==1.5.0\"]}\n", "# NOTE: This will work for in-cluster notebook servers (RHODS/ODH), but not for local machines\n", "# To see how to connect from your laptop, go to demo-notebooks/additional-demos/local_interactive.ipynb\n", "ray.init(address=ray_cluster_uri, runtime_env=runtime_env)\n", @@ -173,7 +171,7 @@ "id": "9711030b", "metadata": {}, "source": [ - "Now that we are connected (and have passed in some package requirements), let's try writing some training code for a DistilBERT transformer model via HuggingFace (using IMDB dataset):" + "Now that we are connected (and have passed in some package requirements), let's try writing some training code:" ] }, { @@ -185,66 +183,83 @@ "source": [ "@ray.remote\n", "def train_fn():\n", - " from datasets import load_dataset\n", - " import transformers\n", - " from transformers import AutoTokenizer, TrainingArguments\n", - " from transformers import AutoModelForSequenceClassification\n", + " import os\n", " import numpy as np\n", - " from datasets import load_metric\n", - " import ray\n", - " from ray import tune\n", - " from ray.train.huggingface import HuggingFaceTrainer\n", - "\n", - " dataset = load_dataset(\"imdb\")\n", - " tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")\n", - "\n", - " def tokenize_function(examples):\n", - " return tokenizer(examples[\"text\"], padding=\"max_length\", truncation=True)\n", + " from datasets import load_dataset, load_metric\n", + " import transformers\n", + " from transformers import (\n", + " Trainer,\n", + " TrainingArguments,\n", + " AutoTokenizer,\n", + " AutoModelForSequenceClassification,\n", + " )\n", + " import ray.train.huggingface.transformers\n", + " from ray.train import ScalingConfig\n", + " from ray.train.torch import TorchTrainer\n", "\n", - " tokenized_datasets = dataset.map(tokenize_function, batched=True)\n", + " # When running in a multi-node cluster you will need persistent storage that is accessible across all worker nodes. \n", + " # See www.github.com/project-codeflare/codeflare-sdk/tree/main/docs/s3-compatible-storage.md for more information.\n", + " \n", + " def train_func():\n", + " # Datasets\n", + " dataset = load_dataset(\"imdb\")\n", + " tokenizer = AutoTokenizer.from_pretrained(\"distilbert-base-uncased\")\n", "\n", - " #using a fraction of dataset but you can run with the full dataset\n", - " small_train_dataset = tokenized_datasets[\"train\"].shuffle(seed=42).select(range(100))\n", - " small_eval_dataset = tokenized_datasets[\"test\"].shuffle(seed=42).select(range(100))\n", + " def tokenize_function(examples):\n", + " return tokenizer(examples[\"text\"], padding=\"max_length\", truncation=True)\n", "\n", - " print(f\"len of train {small_train_dataset} and test {small_eval_dataset}\")\n", + " small_train_dataset = (\n", + " dataset[\"train\"].select(range(100)).map(tokenize_function, batched=True)\n", + " )\n", + " small_eval_dataset = (\n", + " dataset[\"test\"].select(range(100)).map(tokenize_function, batched=True)\n", + " )\n", "\n", - " ray_train_ds = ray.data.from_huggingface(small_train_dataset)\n", - " ray_evaluation_ds = ray.data.from_huggingface(small_eval_dataset)\n", + " # Model\n", + " model = AutoModelForSequenceClassification.from_pretrained(\n", + " \"distilbert-base-uncased\", num_labels=2\n", + " )\n", "\n", - " def compute_metrics(eval_pred):\n", - " metric = load_metric(\"accuracy\")\n", - " logits, labels = eval_pred\n", - " predictions = np.argmax(logits, axis=-1)\n", - " return metric.compute(predictions=predictions, references=labels)\n", + " def compute_metrics(eval_pred):\n", + " metric = load_metric(\"accuracy\")\n", + " logits, labels = eval_pred\n", + " predictions = np.argmax(logits, axis=-1)\n", + " return metric.compute(predictions=predictions, references=labels)\n", "\n", - " def trainer_init_per_worker(train_dataset, eval_dataset, **config):\n", - " model = AutoModelForSequenceClassification.from_pretrained(\"distilbert-base-uncased\", num_labels=2)\n", + " # Hugging Face Trainer\n", + " training_args = TrainingArguments(\n", + " output_dir=\"test_trainer\",\n", + " evaluation_strategy=\"epoch\",\n", + " save_strategy=\"epoch\",\n", + " report_to=\"none\",\n", + " )\n", "\n", - " training_args = TrainingArguments(\"/tmp/hf_imdb/test\", eval_steps=1, disable_tqdm=True, \n", - " num_train_epochs=1, skip_memory_metrics=True,\n", - " learning_rate=2e-5,\n", - " per_device_train_batch_size=16,\n", - " per_device_eval_batch_size=16, \n", - " weight_decay=0.01,)\n", - " return transformers.Trainer(\n", + " trainer = Trainer(\n", " model=model,\n", " args=training_args,\n", - " train_dataset=train_dataset,\n", - " eval_dataset=eval_dataset,\n", - " compute_metrics=compute_metrics\n", + " train_dataset=small_train_dataset,\n", + " eval_dataset=small_eval_dataset,\n", + " compute_metrics=compute_metrics,\n", " )\n", "\n", - " scaling_config = ScalingConfig(num_workers=2, use_gpu=True) #num workers is the number of gpus\n", "\n", - " # we are using the ray native HuggingFaceTrainer, but you can swap out to use non ray Huggingface Trainer. Both have the same method signature. \n", - " # the ray native HFTrainer has built in support for scaling to multiple GPUs\n", - " trainer = HuggingFaceTrainer(\n", - " trainer_init_per_worker=trainer_init_per_worker,\n", - " scaling_config=scaling_config,\n", - " datasets={\"train\": ray_train_ds, \"evaluation\": ray_evaluation_ds},\n", + " callback = ray.train.huggingface.transformers.RayTrainReportCallback()\n", + " trainer.add_callback(callback)\n", + "\n", + " trainer = ray.train.huggingface.transformers.prepare_trainer(trainer)\n", + "\n", + " trainer.train()\n", + "\n", + "\n", + " ray_trainer = TorchTrainer(\n", + " train_func,\n", + " scaling_config=ScalingConfig(num_workers=3, use_gpu=True),\n", + " # Configure persistent storage that is accessible across \n", + " # all worker nodes.\n", + " # Uncomment and update the RunConfig below to include your storage details.\n", + " # run_config=ray.train.RunConfig(storage_path=\"storage path\"),\n", " )\n", - " result = trainer.fit()" + " result: ray.train.Result = ray_trainer.fit()" ] }, { diff --git a/tests/unit_test.py b/tests/unit_test.py index 4b48b173..db908df6 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -2035,6 +2035,10 @@ def custom_side_effect(group, version, namespace, plural, **kwargs): "items" ], ) + mocker.patch( + "codeflare_sdk.utils.generate_yaml.local_queue_exists", + return_value="true", + ) cluster = get_cluster("quicktest") cluster_config = cluster.config From e863e29bbf3766781ea6cc6332c0628d49201430 Mon Sep 17 00:00:00 2001 From: Antonin Stefanutti Date: Thu, 20 Jun 2024 19:56:28 +0200 Subject: [PATCH 026/254] Remove codeflare-torchx dependency --- poetry.lock | 2274 ++++++++++++++++++++++++------------------------ pyproject.toml | 1 - 2 files changed, 1125 insertions(+), 1150 deletions(-) diff --git a/poetry.lock b/poetry.lock index 2bcedf96..1868163e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,88 +1,88 @@ -# This file is automatically @generated by Poetry 1.8.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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b/pyproject.toml index a295e383..af7dd1ca 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,7 +25,6 @@ openshift-client = "1.0.18" rich = "^12.5" ray = {version = "2.20.0", extras = ["data", "default"]} kubernetes = ">= 25.3.0, < 27" -codeflare-torchx = "0.6.0.dev2" cryptography = "40.0.2" executing = "1.2.0" pydantic = "< 2" From f6399e93968acf19ace688bf58a37f4c4a77c16d Mon Sep 17 00:00:00 2001 From: Ignas Baranauskas Date: Fri, 21 Jun 2024 13:43:44 +0100 Subject: [PATCH 027/254] Add new CONTRIBUTING.md file --- CONTRIBUTING.md | 90 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 90 insertions(+) create mode 100644 CONTRIBUTING.md diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..60f84102 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,90 @@ +# Contributing to the CodeFlare SDK + +Thank you for your interest in contributing to the CodeFlare SDK! + +## Getting Started + +### Prerequisites + +- Python 3.9 +- [Poetry](https://python-poetry.org/) + +### Setting Up Your Development Environment + +1. **Clone the repository:** + + ```sh + git clone https://github.com/project-codeflare/codeflare-sdk.git + cd codeflare-sdk + ``` + +2. Create a Poetry virtual environment: + + ```sh + poetry shell + ``` + +3. Install dependencies: + + ```sh + poetry install + ``` + + - To include test dependencies, run: + + ```sh + poetry install --with test + ``` + + - To include docs dependencies, run: + + ```sh + poetry install --with docs + ``` + + - To include both test and docs dependencies, run: + + ```sh + poetry install --with test,docs + ``` + +## Development Workflow + +### Pre-commit + +We use pre-commit to ensure consistent code formatting. To enable pre-commit hooks, run: + +```sh +pre-commit install +``` + +## Testing + +To install CodeFlare SDK in editable mode, run: + +```sh +pip install -e . +``` + +### Unit Testing + +To run the unit tests, execute: + +```sh +pytest -v tests/unit_test.py +``` + +### Local e2e Testing + +- Please follow the [e2e documentation](https://github.com/project-codeflare/codeflare-sdk/blob/main/docs/e2e.md) + +#### Code Coverage + +- Run tests with the following command: `coverage run -m --source=src pytest tests/unit_test.py` +- To then view a code coverage report w/ missing lines, run `coverage report -m` + +### Code Formatting + +- To check file formatting, in top-level dir run `black --check .` +- To auto-reformat all files, remove the `--check` flag +- To reformat an individual file, run `black ` From 8bfcfb14ec8539fce29433b1121022b6c6794393 Mon Sep 17 00:00:00 2001 From: Ignas Baranauskas Date: Fri, 21 Jun 2024 13:44:15 +0100 Subject: [PATCH 028/254] Update README.md to point to the new CONTRIBUTING.md --- README.md | 58 ++----------------------------------------------------- 1 file changed, 2 insertions(+), 56 deletions(-) diff --git a/README.md b/README.md index 0ea7f694..31177840 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# Codeflare-SDK +# CodeFlare SDK [![Python application](https://github.com/project-codeflare/codeflare-sdk/actions/workflows/unit-tests.yml/badge.svg?branch=main)](https://github.com/project-codeflare/codeflare-sdk/actions/workflows/unit-tests.yml) ![coverage badge](./coverage.svg) @@ -19,61 +19,7 @@ Can be installed via `pip`: `pip install codeflare-sdk` ## Development -### Prerequisites - -We recommend using Python 3.9 for development, along with Poetry. -Create a Poetry virtual environment with the required Python version 3.9, and run all commands within this environment. - - - run: `poetry shell` - -#### Install dependencies: - - - run: `poetry install` - -This will install standard requirements as specified in the poetry.lock file. Test and docs dependencies are optional. - -- To include test dependencies run: `poetry install --with test` - -- To include docs dependencies run: `poetry install --with docs` - -- To include test and docs dependencies run: `poetry install --with test,docs` - -If you require a requirements.txt file you can run: - -`poetry export -f requirements.txt --output requirements.txt --without-hashes` - -### Pre-commit - -We use pre-commit to make sure the code is consistently formatted. To make sure that pre-commit is run every time you commit changes, simply run `pre-commit install` - -To build the codeflare-sdk pre-commit image run `podman build -f .github/build/Containerfile .` from the root directory. - -### Testing - -- To install codeflare-sdk in editable mode, run `pip install -e .` from the repo root. -- Any new test functions/scripts can be added into the `tests` folder -- NOTE: Functional tests coming soon, will live in `tests/func_test.py` - -#### Unit Testing -- To run the unit tests, run `pytest -v tests/unit_test.py` - -#### Local e2e Testing -- Please follow the [e2e documentation](https://github.com/project-codeflare/codeflare-sdk/blob/main/docs/e2e.md) - -#### Code Coverage - -- Run tests with the following command: `coverage run -m --source=src pytest tests/unit_test.py` -- To then view a code coverage report w/ missing lines, run `coverage report -m` - -### Code Formatting - -- To check file formatting, in top-level dir run `black --check .` -- To auto-reformat all files, remove the `--check` flag -- To reformat an individual file, run `black ` - -### Package Build - -To build the python package: `$ poetry build` +Please see our [CONTRIBUTING.md](./CONTRIBUTING.md) for detailed instructions. ## Release Instructions From 1f825d63cdf72e3ceaa5bbb653da1145501bbf79 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Thu, 20 Jun 2024 12:28:35 +0100 Subject: [PATCH 029/254] Revert "Added custom Volumes and Volume Mounts support" This reverts commit c68d425377105a30ec591364f73b993991afaa47. --- src/codeflare_sdk/cluster/cluster.py | 4 ---- src/codeflare_sdk/cluster/config.py | 2 -- src/codeflare_sdk/utils/generate_yaml.py | 22 ---------------------- 3 files changed, 28 deletions(-) diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index 015f15ed..e5bbcd86 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -152,8 +152,6 @@ def create_app_wrapper(self): write_to_file = self.config.write_to_file local_queue = self.config.local_queue labels = self.config.labels - volumes = self.config.volumes - volume_mounts = self.config.volume_mounts return generate_appwrapper( name=name, namespace=namespace, @@ -174,8 +172,6 @@ def create_app_wrapper(self): write_to_file=write_to_file, local_queue=local_queue, labels=labels, - volumes=volumes, - volume_mounts=volume_mounts, ) # creates a new cluster with the provided or default spec diff --git a/src/codeflare_sdk/cluster/config.py b/src/codeflare_sdk/cluster/config.py index 97067365..9e069c37 100644 --- a/src/codeflare_sdk/cluster/config.py +++ b/src/codeflare_sdk/cluster/config.py @@ -53,8 +53,6 @@ class ClusterConfiguration: write_to_file: bool = False verify_tls: bool = True labels: dict = field(default_factory=dict) - volumes: list = field(default_factory=list) - volume_mounts: list = field(default_factory=list) def __post_init__(self): if not self.verify_tls: diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index 3192ae1b..30edcd91 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -96,20 +96,6 @@ def update_image_pull_secrets(spec, image_pull_secrets): ] -def update_volume_mounts(spec, volume_mounts: list): - containers = spec.get("containers") - for volume_mount in volume_mounts: - for container in containers: - volumeMount = client.ApiClient().sanitize_for_serialization(volume_mount) - container["volumeMounts"].append(volumeMount) - - -def update_volumes(spec, volumes: list): - for volume in volumes: - new_volume = client.ApiClient().sanitize_for_serialization(volume) - spec["volumes"].append(new_volume) - - def update_env(spec, env): containers = spec.get("containers") for container in containers: @@ -150,8 +136,6 @@ def update_nodes( head_cpus, head_memory, head_gpus, - volumes, - volume_mounts, ): head = cluster_yaml.get("spec").get("headGroupSpec") head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) @@ -166,8 +150,6 @@ def update_nodes( for comp in [head, worker]: spec = comp.get("template").get("spec") - update_volume_mounts(spec, volume_mounts) - update_volumes(spec, volumes) update_image_pull_secrets(spec, image_pull_secrets) update_image(spec, image) update_env(spec, env) @@ -298,8 +280,6 @@ def generate_appwrapper( write_to_file: bool, local_queue: Optional[str], labels, - volumes: list[client.V1Volume], - volume_mounts: list[client.V1VolumeMount], ): cluster_yaml = read_template(template) appwrapper_name, cluster_name = gen_names(name) @@ -319,8 +299,6 @@ def generate_appwrapper( head_cpus, head_memory, head_gpus, - volumes, - volume_mounts, ) augment_labels(cluster_yaml, labels) notebook_annotations(cluster_yaml) From 7eb00bef8ca8eca6e5431e8787716cee68ef117c Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Thu, 20 Jun 2024 12:30:48 +0100 Subject: [PATCH 030/254] Revert "Added Unit tests for custom volumes and volume mounts" This reverts commit 20476aa81f30c2faf6781c581bed3b1907ac590e. --- tests/unit-test-volume-cluster.yaml | 186 ---------------------------- tests/unit_test.py | 62 ---------- 2 files changed, 248 deletions(-) delete mode 100644 tests/unit-test-volume-cluster.yaml diff --git a/tests/unit-test-volume-cluster.yaml b/tests/unit-test-volume-cluster.yaml deleted file mode 100644 index 67d2c6b2..00000000 --- a/tests/unit-test-volume-cluster.yaml +++ /dev/null @@ -1,186 +0,0 @@ -apiVersion: ray.io/v1 -kind: RayCluster -metadata: - labels: - controller-tools.k8s.io: '1.0' - kueue.x-k8s.io/queue-name: local-queue-default - name: unit-test-volume-cluster - namespace: opendatahub -spec: - autoscalerOptions: - idleTimeoutSeconds: 60 - imagePullPolicy: Always - resources: - limits: - cpu: 500m - memory: 512Mi - requests: - cpu: 500m - memory: 512Mi - upscalingMode: Default - enableInTreeAutoscaling: false - headGroupSpec: - enableIngress: false - rayStartParams: - block: 'true' - dashboard-host: 0.0.0.0 - num-gpus: '0' - serviceType: ClusterIP - template: - spec: - containers: - - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 - imagePullPolicy: Always - lifecycle: - preStop: - exec: - command: - - /bin/sh - - -c - - ray stop - name: ray-head - ports: - - containerPort: 6379 - name: gcs - - containerPort: 8265 - name: dashboard - - containerPort: 10001 - name: client - resources: - limits: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - requests: - cpu: 2 - memory: 8G - nvidia.com/gpu: 0 - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /home/ray/test1 - name: test - - mountPath: /home/ray/test2 - name: test2 - - mountPath: /home/ray/test2 - name: test3 - imagePullSecrets: [] - volumes: - - configMap: - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true - name: odh-trusted-ca-cert - - configMap: - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true - name: odh-ca-cert - - emptyDir: - sizeLimit: 500Gi - name: test - - configMap: - items: - - key: test - path: /home/ray/test2/data.txt - name: config-map-test - name: test2 - - name: test3 - secret: - secretName: test-secret - rayVersion: 2.20.0 - workerGroupSpecs: - - groupName: small-group-unit-test-volume-cluster - maxReplicas: 1 - minReplicas: 1 - rayStartParams: - block: 'true' - num-gpus: '0' - replicas: 1 - template: - metadata: - annotations: - key: value - labels: - key: value - spec: - containers: - - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 - lifecycle: - preStop: - exec: - command: - - /bin/sh - - -c - - ray stop - name: machine-learning - resources: - limits: - cpu: 1 - memory: 2G - nvidia.com/gpu: 0 - requests: - cpu: 1 - memory: 2G - nvidia.com/gpu: 0 - volumeMounts: - - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt - name: odh-trusted-ca-cert - subPath: odh-trusted-ca-bundle.crt - - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /etc/ssl/certs/odh-ca-bundle.crt - name: odh-ca-cert - subPath: odh-ca-bundle.crt - - mountPath: /home/ray/test1 - name: test - - mountPath: /home/ray/test2 - name: test2 - - mountPath: /home/ray/test2 - name: test3 - imagePullSecrets: [] - volumes: - - configMap: - items: - - key: ca-bundle.crt - path: odh-trusted-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true - name: odh-trusted-ca-cert - - configMap: - items: - - key: odh-ca-bundle.crt - path: odh-ca-bundle.crt - name: odh-trusted-ca-bundle - optional: true - name: odh-ca-cert - - emptyDir: - sizeLimit: 500Gi - name: test - - configMap: - items: - - key: test - path: /home/ray/test2/data.txt - name: config-map-test - name: test2 - - name: test3 - secret: - secretName: test-secret diff --git a/tests/unit_test.py b/tests/unit_test.py index db908df6..61870b2a 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -444,68 +444,6 @@ def test_default_cluster_creation(mocker): assert cluster.config.namespace == "opendatahub" -def test_cluster_with_custom_volumes(mocker): - mocker.patch("kubernetes.client.ApisApi.get_api_versions") - mocker.patch( - "codeflare_sdk.cluster.cluster.get_current_namespace", - return_value="opendatahub", - ) - mocker.patch( - "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", - return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), - ) - - from kubernetes.client import ( - V1Volume, - V1VolumeMount, - V1EmptyDirVolumeSource, - V1ConfigMapVolumeSource, - V1KeyToPath, - V1SecretVolumeSource, - ) - - volume_mounts = [ - V1VolumeMount(mount_path="/home/ray/test1", name="test"), - V1VolumeMount( - mount_path="/home/ray/test2", - name="test2", - ), - V1VolumeMount( - mount_path="/home/ray/test2", - name="test3", - ), - ] - - volumes = [ - V1Volume( - name="test", - empty_dir=V1EmptyDirVolumeSource(size_limit="500Gi"), - ), - V1Volume( - name="test2", - config_map=V1ConfigMapVolumeSource( - name="config-map-test", - items=[V1KeyToPath(key="test", path="/home/ray/test2/data.txt")], - ), - ), - V1Volume(name="test3", secret=V1SecretVolumeSource(secret_name="test-secret")), - ] - - test_config = ClusterConfiguration( - name="unit-test-volume-cluster", - image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", - volume_mounts=volume_mounts, - volumes=volumes, - ) - cluster = Cluster(test_config) - test_rc = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader) - with open( - f"{parent}/tests/unit-test-volume-cluster.yaml", - ) as f: - volume_rc = yaml.load(f, Loader=yaml.FullLoader) - assert test_rc == volume_rc - - def test_gen_names_with_name(mocker): mocker.patch.object( uuid, "uuid4", return_value=uuid.UUID("00000000-0000-0000-0000-000000000001") From 45d0a7436e9b81d81c34d2c0ac313bcf3974e2d3 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Tue, 18 Jun 2024 10:41:49 +0100 Subject: [PATCH 031/254] Added documentation for S3 compatible storage --- demo-notebooks/guided-demos/mnist_fashion.py | 1 + docs/s3-compatible-storage.md | 61 ++++++++++++++++++++ 2 files changed, 62 insertions(+) create mode 100644 docs/s3-compatible-storage.md diff --git a/demo-notebooks/guided-demos/mnist_fashion.py b/demo-notebooks/guided-demos/mnist_fashion.py index 2b75a865..85cd6e64 100644 --- a/demo-notebooks/guided-demos/mnist_fashion.py +++ b/demo-notebooks/guided-demos/mnist_fashion.py @@ -74,6 +74,7 @@ def train_func_distributed(): # For GPU Training, set `use_gpu` to True. use_gpu = True +# To learn more about configuring S3 compatible storage check out our docs -> https://github.com/project-codeflare/codeflare-sdk/blob/main/docs/s3-compatible-storage.md trainer = TorchTrainer( train_func_distributed, scaling_config=ScalingConfig( diff --git a/docs/s3-compatible-storage.md b/docs/s3-compatible-storage.md new file mode 100644 index 00000000..919ce815 --- /dev/null +++ b/docs/s3-compatible-storage.md @@ -0,0 +1,61 @@ +# S3 compatible storage with Ray Train examples +Some of our distributed training examples require an external storage solution so that all nodes can access the same data.
      +The following are examples for configuring S3 or Minio storage for your Ray Train script or interactive session. + +## S3 Bucket +In your Python Script add the following environment variables: +``` python +os.environ["AWS_ACCESS_KEY_ID"] = "XXXXXXXX" +os.environ["AWS_SECRET_ACCESS_KEY"] = "XXXXXXXX" +os.environ["AWS_DEFAULT_REGION"] = "XXXXXXXX" +``` +Alternatively you can specify these variables in your runtime environment on Job Submission. +``` python +submission_id = client.submit_job( + entrypoint=..., + runtime_env={ + "env_vars": { + "AWS_ACCESS_KEY_ID": os.environ.get('AWS_ACCESS_KEY_ID'), + "AWS_SECRET_ACCESS_KEY": os.environ.get('AWS_SECRET_ACCESS_KEY'), + "AWS_DEFAULT_REGION": os.environ.get('AWS_DEFAULT_REGION') + }, + } +) +``` +In your Trainer configuration you can specify a `run_config` which will utilise your external storage. +``` python +trainer = TorchTrainer( + train_func_distributed, + scaling_config=scaling_config, + run_config = ray.train.RunConfig(storage_path="s3://BUCKET_NAME/SUB_PATH/", name="unique_run_name") +) +``` +To learn more about Amazon S3 Storage you can find information [here](https://docs.aws.amazon.com/AmazonS3/latest/userguide/creating-bucket.html). + +## Minio Bucket +In your Python Script add the following function for configuring your run_config: +``` python +import s3fs +import pyarrow + +def get_minio_run_config(): + s3_fs = s3fs.S3FileSystem( + key = os.getenv('MINIO_ACCESS_KEY', "XXXXX"), + secret = os.getenv('MINIO_SECRET_ACCESS_KEY', "XXXXX"), + endpoint_url = os.getenv('MINIO_URL', "XXXXX") + ) + custom_fs = pyarrow.fs.PyFileSystem(pyarrow.fs.FSSpecHandler(s3_fs)) + run_config = ray.train.RunConfig(storage_path='training', storage_filesystem=custom_fs) + return run_config +``` +You can update the `run_config` to further suit your needs above. +Lastly the new `run_config` must be added to the Trainer: +``` python +trainer = TorchTrainer( + train_func_distributed, + scaling_config=scaling_config, + run_config = get_minio_run_config() +) +``` +To find more information on creating a Minio Bucket compatible with RHOAI you can refer to this [documentation](https://ai-on-openshift.io/tools-and-applications/minio/minio/).
      +Note: You must have `sf3s` and `pyarrow` installed in your environment for this method. From a03c72f6f5f7de517ec6e8c5164d3d43e474aaa0 Mon Sep 17 00:00:00 2001 From: codeflare-machine-account Date: Fri, 21 Jun 2024 16:55:29 +0000 Subject: [PATCH 032/254] Changes in docs for release: v0.16.4 --- .../cluster/awload.html | 6 +- .../cluster/cluster.html | 30 +- .../cluster/config.html | 3 +- .../detailed-documentation/cluster/model.html | 6 +- docs/detailed-documentation/job/ray_jobs.html | 4 +- .../utils/generate_yaml.html | 402 +++++++----------- 6 files changed, 174 insertions(+), 277 deletions(-) diff --git a/docs/detailed-documentation/cluster/awload.html b/docs/detailed-documentation/cluster/awload.html index 297ebc02..c77ac0e7 100644 --- a/docs/detailed-documentation/cluster/awload.html +++ b/docs/detailed-documentation/cluster/awload.html @@ -61,7 +61,7 @@

      Module codeflare_sdk.cluster.awload

      class AWManager: """ An object for submitting and removing existing AppWrapper yamls - to be added to the MCAD queue. + to be added to the Kueue localqueue. """ def __init__(self, filename: str) -> None: @@ -145,7 +145,7 @@

      Classes

      An object for submitting and removing existing AppWrapper yamls -to be added to the MCAD queue.

      +to be added to the Kueue localqueue.

      Create the AppWrapper Manager object by passing in an AppWrapper yaml file

      @@ -155,7 +155,7 @@

      Classes

      class AWManager:
     """
     An object for submitting and removing existing AppWrapper yamls
-    to be added to the MCAD queue.
+    to be added to the Kueue localqueue.
     """
 
     def __init__(self, filename: str) -> None:
diff --git a/docs/detailed-documentation/cluster/cluster.html b/docs/detailed-documentation/cluster/cluster.html
index 7544b4d5..1e49cf6d 100644
--- a/docs/detailed-documentation/cluster/cluster.html
+++ b/docs/detailed-documentation/cluster/cluster.html
@@ -179,11 +179,9 @@ 
      Module codeflare_sdk.cluster.cluster
      
         template = self.config.template
         image = self.config.image
         appwrapper = self.config.appwrapper
-        instance_types = self.config.machine_types
         env = self.config.envs
         image_pull_secrets = self.config.image_pull_secrets
         write_to_file = self.config.write_to_file
-        verify_tls = self.config.verify_tls
         local_queue = self.config.local_queue
         labels = self.config.labels
         return generate_appwrapper(
@@ -201,11 +199,9 @@ 
      Module codeflare_sdk.cluster.cluster
      
             template=template,
             image=image,
             appwrapper=appwrapper,
-            instance_types=instance_types,
             env=env,
             image_pull_secrets=image_pull_secrets,
             write_to_file=write_to_file,
-            verify_tls=verify_tls,
             local_queue=local_queue,
             labels=labels,
         )
@@ -213,8 +209,8 @@ 
      Module codeflare_sdk.cluster.cluster
      
     # creates a new cluster with the provided or default spec
     def up(self):
         """
-        Applies the AppWrapper yaml, pushing the resource request onto
-        the MCAD queue.
+        Applies the Cluster yaml, pushing the resource request onto
+        the Kueue localqueue.
         """
 
         # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError
@@ -1229,11 +1225,9 @@ 
      Classes
      
         template = self.config.template
         image = self.config.image
         appwrapper = self.config.appwrapper
-        instance_types = self.config.machine_types
         env = self.config.envs
         image_pull_secrets = self.config.image_pull_secrets
         write_to_file = self.config.write_to_file
-        verify_tls = self.config.verify_tls
         local_queue = self.config.local_queue
         labels = self.config.labels
         return generate_appwrapper(
@@ -1251,11 +1245,9 @@ 
      Classes
      
             template=template,
             image=image,
             appwrapper=appwrapper,
-            instance_types=instance_types,
             env=env,
             image_pull_secrets=image_pull_secrets,
             write_to_file=write_to_file,
-            verify_tls=verify_tls,
             local_queue=local_queue,
             labels=labels,
         )
@@ -1263,8 +1255,8 @@ 
      Classes
      
     # creates a new cluster with the provided or default spec
     def up(self):
         """
-        Applies the AppWrapper yaml, pushing the resource request onto
-        the MCAD queue.
+        Applies the Cluster yaml, pushing the resource request onto
+        the Kueue localqueue.
         """
 
         # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError
@@ -1776,11 +1768,9 @@ 
      Methods
      
     template = self.config.template
     image = self.config.image
     appwrapper = self.config.appwrapper
-    instance_types = self.config.machine_types
     env = self.config.envs
     image_pull_secrets = self.config.image_pull_secrets
     write_to_file = self.config.write_to_file
-    verify_tls = self.config.verify_tls
     local_queue = self.config.local_queue
     labels = self.config.labels
     return generate_appwrapper(
@@ -1798,11 +1788,9 @@ 
      Methods
      
         template=template,
         image=image,
         appwrapper=appwrapper,
-        instance_types=instance_types,
         env=env,
         image_pull_secrets=image_pull_secrets,
         write_to_file=write_to_file,
-        verify_tls=verify_tls,
         local_queue=local_queue,
         labels=labels,
     )
      @@ -1974,7 +1962,7 @@

      Methods

      -def list_jobs(self) ‑> List[~T] +def list_jobs(self) ‑> List

      This method accesses the head ray node in your cluster and lists the running jobs.

      @@ -2090,16 +2078,16 @@

      Methods

      def up(self)
      -

      Applies the AppWrapper yaml, pushing the resource request onto -the MCAD queue.

      +

      Applies the Cluster yaml, pushing the resource request onto +the Kueue localqueue.

      Expand source code 
      def up(self):
     """
-    Applies the AppWrapper yaml, pushing the resource request onto
-    the MCAD queue.
+    Applies the Cluster yaml, pushing the resource request onto
+    the Kueue localqueue.
     """
 
     # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError
diff --git a/docs/detailed-documentation/cluster/config.html b/docs/detailed-documentation/cluster/config.html
index 4ce9dcdd..60b6dc95 100644
--- a/docs/detailed-documentation/cluster/config.html
+++ b/docs/detailed-documentation/cluster/config.html
@@ -133,7 +133,8 @@ 
      Classes
      
 
 Expand source code
 
-
      class ClusterConfiguration:
+
      @dataclass
+class ClusterConfiguration:
     """
     This dataclass is used to specify resource requirements and other details, and
     is passed in as an argument when creating a Cluster object.
diff --git a/docs/detailed-documentation/cluster/model.html b/docs/detailed-documentation/cluster/model.html
index d69357e1..e47808e4 100644
--- a/docs/detailed-documentation/cluster/model.html
+++ b/docs/detailed-documentation/cluster/model.html
@@ -146,7 +146,8 @@ 
      Classes
      
 
 Expand source code
 
-
      class AppWrapper:
+
      @dataclass
+class AppWrapper:
     """
     For storing information about an AppWrapper.
     """
@@ -299,7 +300,8 @@ 
      Class variables
      
 
 Expand source code
 
-
      class RayCluster:
+
      @dataclass
+class RayCluster:
     """
     For storing information about a Ray cluster.
     """
diff --git a/docs/detailed-documentation/job/ray_jobs.html b/docs/detailed-documentation/job/ray_jobs.html
index f0d10cd8..01fa5fb5 100644
--- a/docs/detailed-documentation/job/ray_jobs.html
+++ b/docs/detailed-documentation/job/ray_jobs.html
@@ -191,7 +191,7 @@ 
      Classes
      
 
      
 
      
 class RayJobClient
-(address: Optional[str] = None, create_cluster_if_needed: bool = False, cookies: Optional[Dict[str, Any]] = None, metadata: Optional[Dict[str, Any]] = None, headers: Optional[Dict[str, Any]] = None, verify: Union[str, bool, None] = True)
+(address: Optional[str] = None, create_cluster_if_needed: bool = False, cookies: Optional[Dict[str, Any]] = None, metadata: Optional[Dict[str, Any]] = None, headers: Optional[Dict[str, Any]] = None, verify: Union[str, bool, ForwardRef(None)] = True)
 
      
 
      
 
      A class that functions as a wrapper for the Ray Job Submission Client.
      
@@ -461,7 +461,7 @@ 
      Methods
      -def submit_job(self, entrypoint: str, job_id: Optional[str] = None, runtime_env: Optional[Dict[str, Any]] = None, metadata: Optional[Dict[str, str]] = None, submission_id: Optional[str] = None, entrypoint_num_cpus: Union[int, float, None] = None, entrypoint_num_gpus: Union[int, float, None] = None, entrypoint_resources: Optional[Dict[str, float]] = None) ‑> str +def submit_job(self, entrypoint: str, job_id: Optional[str] = None, runtime_env: Optional[Dict[str, Any]] = None, metadata: Optional[Dict[str, str]] = None, submission_id: Optional[str] = None, entrypoint_num_cpus: Union[int, float, ForwardRef(None)] = None, entrypoint_num_gpus: Union[int, float, ForwardRef(None)] = None, entrypoint_resources: Optional[Dict[str, float]] = None) ‑> str

      Method for submitting jobs to a Ray Cluster and returning the job id with entrypoint being a mandatory field.

      diff --git a/docs/detailed-documentation/utils/generate_yaml.html b/docs/detailed-documentation/utils/generate_yaml.html index 5ee410ce..1e421762 100644 --- a/docs/detailed-documentation/utils/generate_yaml.html +++ b/docs/detailed-documentation/utils/generate_yaml.html @@ -108,13 +108,10 @@

      Module codeflare_sdk.utils.generate_yaml

      return False -def update_names(yaml, item, appwrapper_name, cluster_name, namespace): - metadata = yaml.get("metadata") - metadata["name"] = appwrapper_name - metadata["namespace"] = namespace - lower_meta = item.get("template", {}).get("metadata") - lower_meta["name"] = cluster_name - lower_meta["namespace"] = namespace +def update_names(cluster_yaml, cluster_name, namespace): + meta = cluster_yaml.get("metadata") + meta["name"] = cluster_name + meta["namespace"] = namespace def update_image(spec, image): @@ -156,7 +153,7 @@

      Module codeflare_sdk.utils.generate_yaml

      def update_nodes( - item, + cluster_yaml, appwrapper_name, min_cpu, max_cpu, @@ -171,48 +168,35 @@

      Module codeflare_sdk.utils.generate_yaml

      head_memory, head_gpus, ): - if "template" in item.keys(): - head = item.get("template").get("spec").get("headGroupSpec") - head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) - - worker = item.get("template").get("spec").get("workerGroupSpecs")[0] - # Head counts as first worker - worker["replicas"] = workers - worker["minReplicas"] = workers - worker["maxReplicas"] = workers - worker["groupName"] = "small-group-" + appwrapper_name - worker["rayStartParams"]["num-gpus"] = str(int(gpu)) - - for comp in [head, worker]: - spec = comp.get("template").get("spec") - update_image_pull_secrets(spec, image_pull_secrets) - update_image(spec, image) - update_env(spec, env) - if comp == head: - # TODO: Eventually add head node configuration outside of template - update_resources( - spec, head_cpus, head_cpus, head_memory, head_memory, head_gpus - ) - else: - update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu) + head = cluster_yaml.get("spec").get("headGroupSpec") + head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) + + worker = cluster_yaml.get("spec").get("workerGroupSpecs")[0] + # Head counts as first worker + worker["replicas"] = workers + worker["minReplicas"] = workers + worker["maxReplicas"] = workers + worker["groupName"] = "small-group-" + appwrapper_name + worker["rayStartParams"]["num-gpus"] = str(int(gpu)) + + for comp in [head, worker]: + spec = comp.get("template").get("spec") + update_image_pull_secrets(spec, image_pull_secrets) + update_image(spec, image) + update_env(spec, env) + if comp == head: + # TODO: Eventually add head node configuration outside of template + update_resources( + spec, head_cpus, head_cpus, head_memory, head_memory, head_gpus + ) + else: + update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu) def del_from_list_by_name(l: list, target: typing.List[str]) -> list: return [x for x in l if x["name"] not in target] -def write_user_appwrapper(user_yaml, output_file_name): - # Create the directory if it doesn't exist - directory_path = os.path.dirname(output_file_name) - if not os.path.exists(directory_path): - os.makedirs(directory_path) - - with open(output_file_name, "w") as outfile: - yaml.dump(user_yaml, outfile, default_flow_style=False) - - print(f"Written to: {output_file_name}") - - def get_default_kueue_name(namespace: str): # If the local queue is set, use it. Otherwise, try to use the default queue. try: @@ -271,53 +255,40 @@

      Module codeflare_sdk.utils.generate_yaml

      def augment_labels(item: dict, labels: dict): - if "template" in item: - if not "labels" in item["template"]["metadata"]: - item["template"]["metadata"]["labels"] = {} - item["template"]["metadata"]["labels"].update(labels) + if not "labels" in item["metadata"]: + item["metadata"]["labels"] = {} + item["metadata"]["labels"].update(labels) -def write_components( - user_yaml: dict, - output_file_name: str, -): +def notebook_annotations(item: dict): + nb_prefix = os.environ.get("NB_PREFIX") + if nb_prefix: + if not "annotations" in item["metadata"]: + item["metadata"]["annotations"] = {} + item["metadata"]["annotations"].update( + {"app.kubernetes.io/managed-by": nb_prefix} + ) + + +def wrap_cluster(cluster_yaml: dict, appwrapper_name: str, namespace: str): + return { + "apiVersion": "workload.codeflare.dev/v1beta2", + "kind": "AppWrapper", + "metadata": {"name": appwrapper_name, "namespace": namespace}, + "spec": {"components": [{"template": cluster_yaml}]}, + } + + +def write_user_yaml(user_yaml, output_file_name): # Create the directory if it doesn't exist directory_path = os.path.dirname(output_file_name) if not os.path.exists(directory_path): os.makedirs(directory_path) - components = user_yaml.get("spec", "resources").get("components") - open(output_file_name, "w").close() - with open(output_file_name, "a") as outfile: - for component in components: - if "template" in component: - outfile.write("---\n") - yaml.dump(component["template"], outfile, default_flow_style=False) - print(f"Written to: {output_file_name}") - - -def load_components( - user_yaml: dict, - name: str, -): - component_list = [] - components = user_yaml.get("spec", "resources").get("components") - for component in components: - if "template" in component: - component_list.append(component["template"]) - - resources = "---\n" + "---\n".join( - [yaml.dump(component) for component in component_list] - ) - user_yaml = resources - print(f"Yaml resources loaded for {name}") - return user_yaml - + with open(output_file_name, "w") as outfile: + yaml.dump(user_yaml, outfile, default_flow_style=False) -def load_appwrapper(user_yaml: dict, name: str): - user_yaml = yaml.dump(user_yaml) - print(f"Yaml resources loaded for {name}") - return user_yaml + print(f"Written to: {output_file_name}") def generate_appwrapper( @@ -335,27 +306,17 @@

      Module codeflare_sdk.utils.generate_yaml

      template: str, image: str, appwrapper: bool, - instance_types: list, env, image_pull_secrets: list, write_to_file: bool, - verify_tls: bool, local_queue: Optional[str], labels, ): - user_yaml = read_template(template) + cluster_yaml = read_template(template) appwrapper_name, cluster_name = gen_names(name) - resources = user_yaml.get("spec", "resources") - item = resources.get("components")[0] - update_names( - user_yaml, - item, - appwrapper_name, - cluster_name, - namespace, - ) + update_names(cluster_yaml, cluster_name, namespace) update_nodes( - item, + cluster_yaml, appwrapper_name, min_cpu, max_cpu, @@ -370,28 +331,25 @@

      Module codeflare_sdk.utils.generate_yaml

      head_memory, head_gpus, ) + augment_labels(cluster_yaml, labels) + notebook_annotations(cluster_yaml) - augment_labels(item, labels) - - if appwrapper: - add_queue_label(user_yaml, namespace, local_queue) - else: - add_queue_label(item["template"], namespace, local_queue) + user_yaml = ( + wrap_cluster(cluster_yaml, appwrapper_name, namespace) + if appwrapper + else cluster_yaml + ) - directory_path = os.path.expanduser("~/.codeflare/resources/") - outfile = os.path.join(directory_path, appwrapper_name + ".yaml") + add_queue_label(user_yaml, namespace, local_queue) if write_to_file: - if appwrapper: - write_user_appwrapper(user_yaml, outfile) - else: - write_components(user_yaml, outfile) + directory_path = os.path.expanduser("~/.codeflare/resources/") + outfile = os.path.join(directory_path, appwrapper_name + ".yaml") + write_user_yaml(user_yaml, outfile) return outfile else: - if appwrapper: - user_yaml = load_appwrapper(user_yaml, name) - else: - user_yaml = load_components(user_yaml, name) + user_yaml = yaml.dump(user_yaml) + print(f"Yaml resources loaded for {name}") return user_yaml       @@ -432,10 +390,9 @@

      Functions

      Expand source code 
      def augment_labels(item: dict, labels: dict):
-    if "template" in item:
-        if not "labels" in item["template"]["metadata"]:
-            item["template"]["metadata"]["labels"] = {}
-    item["template"]["metadata"]["labels"].update(labels)
      + if not "labels" in item["metadata"]: + item["metadata"]["labels"] = {} + item["metadata"]["labels"].update(labels)
      @@ -471,7 +428,7 @@

      Functions

      -def generate_appwrapper(name: str, namespace: str, head_cpus: int, head_memory: int, head_gpus: int, min_cpu: int, max_cpu: int, min_memory: int, max_memory: int, gpu: int, workers: int, template: str, image: str, appwrapper: bool, instance_types: list, env, image_pull_secrets: list, write_to_file: bool, verify_tls: bool, local_queue: Optional[str], labels) +def generate_appwrapper(name: str, namespace: str, head_cpus: int, head_memory: int, head_gpus: int, min_cpu: int, max_cpu: int, min_memory: int, max_memory: int, gpu: int, workers: int, template: str, image: str, appwrapper: bool, env, image_pull_secrets: list, write_to_file: bool, local_queue: Optional[str], labels)
      @@ -494,27 +451,17 @@

      Functions

      template: str, image: str, appwrapper: bool, - instance_types: list, env, image_pull_secrets: list, write_to_file: bool, - verify_tls: bool, local_queue: Optional[str], labels, ): - user_yaml = read_template(template) + cluster_yaml = read_template(template) appwrapper_name, cluster_name = gen_names(name) - resources = user_yaml.get("spec", "resources") - item = resources.get("components")[0] - update_names( - user_yaml, - item, - appwrapper_name, - cluster_name, - namespace, - ) + update_names(cluster_yaml, cluster_name, namespace) update_nodes( - item, + cluster_yaml, appwrapper_name, min_cpu, max_cpu, @@ -529,28 +476,25 @@

      Functions

      head_memory, head_gpus, ) + augment_labels(cluster_yaml, labels) + notebook_annotations(cluster_yaml) - augment_labels(item, labels) - - if appwrapper: - add_queue_label(user_yaml, namespace, local_queue) - else: - add_queue_label(item["template"], namespace, local_queue) + user_yaml = ( + wrap_cluster(cluster_yaml, appwrapper_name, namespace) + if appwrapper + else cluster_yaml + ) - directory_path = os.path.expanduser("~/.codeflare/resources/") - outfile = os.path.join(directory_path, appwrapper_name + ".yaml") + add_queue_label(user_yaml, namespace, local_queue) if write_to_file: - if appwrapper: - write_user_appwrapper(user_yaml, outfile) - else: - write_components(user_yaml, outfile) + directory_path = os.path.expanduser("~/.codeflare/resources/") + outfile = os.path.join(directory_path, appwrapper_name + ".yaml") + write_user_yaml(user_yaml, outfile) return outfile else: - if appwrapper: - user_yaml = load_appwrapper(user_yaml, name) - else: - user_yaml = load_components(user_yaml, name) + user_yaml = yaml.dump(user_yaml) + print(f"Yaml resources loaded for {name}") return user_yaml
      @@ -633,48 +577,6 @@

      Functions

      return _kube_api_error_handling(e)       -
      -def load_appwrapper(user_yaml: dict, name: str) -
      -
      -
      -
      - -Expand source code - -
      def load_appwrapper(user_yaml: dict, name: str):
-    user_yaml = yaml.dump(user_yaml)
-    print(f"Yaml resources loaded for {name}")
-    return user_yaml
      -
      -
      -
      -def load_components(user_yaml: dict, name: str) -
      -
      -
      -
      - -Expand source code - -
      def load_components(
-    user_yaml: dict,
-    name: str,
-):
-    component_list = []
-    components = user_yaml.get("spec", "resources").get("components")
-    for component in components:
-        if "template" in component:
-            component_list.append(component["template"])
-
-    resources = "---\n" + "---\n".join(
-        [yaml.dump(component) for component in component_list]
-    )
-    user_yaml = resources
-    print(f"Yaml resources loaded for {name}")
-    return user_yaml
      -
      -
      def local_queue_exists(namespace: str, local_queue_name: str)
      @@ -704,6 +606,25 @@

      Functions

      return False +
      +def notebook_annotations(item: dict) +
      +
      +
      +
      + +Expand source code + +
      def notebook_annotations(item: dict):
+    nb_prefix = os.environ.get("NB_PREFIX")
+    if nb_prefix:
+        if not "annotations" in item["metadata"]:
+            item["metadata"]["annotations"] = {}
+        item["metadata"]["annotations"].update(
+            {"app.kubernetes.io/managed-by": nb_prefix}
+        )
      +
      +
      def read_template(template)
      @@ -772,7 +693,7 @@

      Functions

      -def update_names(yaml, item, appwrapper_name, cluster_name, namespace) +def update_names(cluster_yaml, cluster_name, namespace)
      @@ -780,17 +701,14 @@

      Functions

      Expand source code -
      def update_names(yaml, item, appwrapper_name, cluster_name, namespace):
-    metadata = yaml.get("metadata")
-    metadata["name"] = appwrapper_name
-    metadata["namespace"] = namespace
-    lower_meta = item.get("template", {}).get("metadata")
-    lower_meta["name"] = cluster_name
-    lower_meta["namespace"] = namespace
      +
      def update_names(cluster_yaml, cluster_name, namespace):
+    meta = cluster_yaml.get("metadata")
+    meta["name"] = cluster_name
+    meta["namespace"] = namespace
      -def update_nodes(item, appwrapper_name, min_cpu, max_cpu, min_memory, max_memory, gpu, workers, image, env, image_pull_secrets, head_cpus, head_memory, head_gpus) +def update_nodes(cluster_yaml, appwrapper_name, min_cpu, max_cpu, min_memory, max_memory, gpu, workers, image, env, image_pull_secrets, head_cpus, head_memory, head_gpus)
      @@ -799,7 +717,7 @@

      Functions

      Expand source code 
      def update_nodes(
-    item,
+    cluster_yaml,
     appwrapper_name,
     min_cpu,
     max_cpu,
@@ -814,30 +732,29 @@ 
      Functions
      
     head_memory,
     head_gpus,
 ):
-    if "template" in item.keys():
-        head = item.get("template").get("spec").get("headGroupSpec")
-        head["rayStartParams"]["num-gpus"] = str(int(head_gpus))
-
-        worker = item.get("template").get("spec").get("workerGroupSpecs")[0]
-        # Head counts as first worker
-        worker["replicas"] = workers
-        worker["minReplicas"] = workers
-        worker["maxReplicas"] = workers
-        worker["groupName"] = "small-group-" + appwrapper_name
-        worker["rayStartParams"]["num-gpus"] = str(int(gpu))
-
-        for comp in [head, worker]:
-            spec = comp.get("template").get("spec")
-            update_image_pull_secrets(spec, image_pull_secrets)
-            update_image(spec, image)
-            update_env(spec, env)
-            if comp == head:
-                # TODO: Eventually add head node configuration outside of template
-                update_resources(
-                    spec, head_cpus, head_cpus, head_memory, head_memory, head_gpus
-                )
-            else:
-                update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu)
      + head = cluster_yaml.get("spec").get("headGroupSpec") + head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) + + worker = cluster_yaml.get("spec").get("workerGroupSpecs")[0] + # Head counts as first worker + worker["replicas"] = workers + worker["minReplicas"] = workers + worker["maxReplicas"] = workers + worker["groupName"] = "small-group-" + appwrapper_name + worker["rayStartParams"]["num-gpus"] = str(int(gpu)) + + for comp in [head, worker]: + spec = comp.get("template").get("spec") + update_image_pull_secrets(spec, image_pull_secrets) + update_image(spec, image) + update_env(spec, env) + if comp == head: + # TODO: Eventually add head node configuration outside of template + update_resources( + spec, head_cpus, head_cpus, head_memory, head_memory, head_gpus + ) + else: + update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu)
      @@ -864,8 +781,8 @@

      Functions

      limits["nvidia.com/gpu"] = gpu       -
      -def write_components(user_yaml: dict, output_file_name: str) +
      +def wrap_cluster(cluster_yaml: dict, appwrapper_name: str, namespace: str)
      @@ -873,27 +790,17 @@

      Functions

      Expand source code -
      def write_components(
-    user_yaml: dict,
-    output_file_name: str,
-):
-    # Create the directory if it doesn't exist
-    directory_path = os.path.dirname(output_file_name)
-    if not os.path.exists(directory_path):
-        os.makedirs(directory_path)
-
-    components = user_yaml.get("spec", "resources").get("components")
-    open(output_file_name, "w").close()
-    with open(output_file_name, "a") as outfile:
-        for component in components:
-            if "template" in component:
-                outfile.write("---\n")
-                yaml.dump(component["template"], outfile, default_flow_style=False)
-    print(f"Written to: {output_file_name}")
      +
      def wrap_cluster(cluster_yaml: dict, appwrapper_name: str, namespace: str):
+    return {
+        "apiVersion": "workload.codeflare.dev/v1beta2",
+        "kind": "AppWrapper",
+        "metadata": {"name": appwrapper_name, "namespace": namespace},
+        "spec": {"components": [{"template": cluster_yaml}]},
+    }
      -
      -def write_user_appwrapper(user_yaml, output_file_name) +
      +def write_user_yaml(user_yaml, output_file_name)
      @@ -901,7 +808,7 @@

      Functions

      Expand source code -
      def write_user_appwrapper(user_yaml, output_file_name):
+
      def write_user_yaml(user_yaml, output_file_name):
     # Create the directory if it doesn't exist
     directory_path = os.path.dirname(output_file_name)
     if not os.path.exists(directory_path):
@@ -939,9 +846,8 @@ 
      Index
      
 
    • get_default_kueue_name
      • 
 
    • is_kind_cluster
      • 
 
    • is_openshift_cluster
      • 
-
    • load_appwrapper
      • 
-
    • load_components
      • 
 
    • local_queue_exists
      • 
+
    • notebook_annotations
      • 
 
    • read_template
      • 
 
    • update_env
      • 
 
    • update_image
      • 
@@ -949,8 +855,8 @@ 
      Index
      
 
    • update_names
      • 
 
    • update_nodes
      • 
 
    • update_resources
      • 
-
    • write_components
      • 
-
    • write_user_appwrapper
      • 
+
    • wrap_cluster
      • 
+
    • write_user_yaml
      •
    • From 713d01107332b026db84618c968f35bf9cacf529 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Fri, 21 Jun 2024 11:58:26 +0100 Subject: [PATCH 033/254] Updated the Ray image in docs/nbs to 2.20.0 --- demo-notebooks/additional-demos/hf_interactive.ipynb | 2 +- demo-notebooks/additional-demos/local_interactive.ipynb | 2 +- demo-notebooks/additional-demos/ray_job_client.ipynb | 2 +- demo-notebooks/guided-demos/0_basic_ray.ipynb | 2 +- demo-notebooks/guided-demos/1_cluster_job_client.ipynb | 2 +- demo-notebooks/guided-demos/2_basic_interactive.ipynb | 2 +- .../guided-demos/notebook-ex-outputs/0_basic_ray.ipynb | 2 +- .../notebook-ex-outputs/1_cluster_job_client.ipynb | 2 +- .../notebook-ex-outputs/2_basic_interactive.ipynb | 2 +- .../guided-demos/notebook-ex-outputs/interactivetest.yaml | 4 ++-- demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml | 4 ++-- demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml | 4 ++-- demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb | 2 +- .../guided-demos/preview_nbs/1_cluster_job_client.ipynb | 2 +- .../guided-demos/preview_nbs/2_basic_interactive.ipynb | 2 +- docs/cluster-configuration.md | 2 +- 16 files changed, 19 insertions(+), 19 deletions(-) diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb index a7b004cb..3db8c11b 100644 --- a/demo-notebooks/additional-demos/hf_interactive.ipynb +++ b/demo-notebooks/additional-demos/hf_interactive.ipynb @@ -98,7 +98,7 @@ " max_cpus=8, \n", " min_memory=16, \n", " max_memory=16, \n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", " ))" diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb index 94e657a7..74ac4055 100644 --- a/demo-notebooks/additional-demos/local_interactive.ipynb +++ b/demo-notebooks/additional-demos/local_interactive.ipynb @@ -62,7 +62,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", " ))" diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb index 0182f1b3..c58a4d73 100644 --- a/demo-notebooks/additional-demos/ray_job_client.ipynb +++ b/demo-notebooks/additional-demos/ray_job_client.ipynb @@ -53,7 +53,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", "))" ] diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb index 7dc9e8cd..fd0eea26 100644 --- a/demo-notebooks/guided-demos/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb @@ -70,7 +70,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index 9e626f55..f32f6046 100644 --- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -52,7 +52,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb index 86142714..7b89e8f0 100644 --- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -69,7 +69,7 @@ " max_cpus=2,\n", " min_memory=8,\n", " max_memory=8,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb index 569b4d34..ed21f46d 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb @@ -78,7 +78,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb index 608fbd2e..7deb6633 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb @@ -52,7 +52,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb index 5ae66a0c..5e499b6b 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb @@ -77,7 +77,7 @@ " max_cpus=2,\n", " min_memory=8,\n", " max_memory=8,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml index 786ef039..6426a017 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml @@ -81,7 +81,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/project-codeflare/ray:latest-py39-cu118 + image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 imagePullPolicy: Always lifecycle: preStop: @@ -147,7 +147,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/project-codeflare/ray:latest-py39-cu118 + image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 lifecycle: preStop: exec: diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml index 60a4b7b2..6d7aa0d3 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml @@ -70,7 +70,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/project-codeflare/ray:latest-py39-cu118 + image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 imagePullPolicy: Always lifecycle: preStop: @@ -127,7 +127,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/project-codeflare/ray:latest-py39-cu118 + image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 lifecycle: preStop: exec: diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml index 53e4be9a..0c31914c 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml @@ -70,7 +70,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/project-codeflare/ray:latest-py39-cu118 + image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 imagePullPolicy: Always lifecycle: preStop: @@ -127,7 +127,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/project-codeflare/ray:latest-py39-cu118 + image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 lifecycle: preStop: exec: diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb index 77b0e278..5c640424 100644 --- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb @@ -70,7 +70,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb index a041ab5b..5ec37998 100644 --- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb @@ -52,7 +52,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources\n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb index d7d4d69d..17299c10 100644 --- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb @@ -69,7 +69,7 @@ " max_cpus=2,\n", " min_memory=8,\n", " max_memory=8,\n", - " image=\"quay.io/project-codeflare/ray:latest-py39-cu118\",\n", + " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/docs/cluster-configuration.md b/docs/cluster-configuration.md index ae6cd2ea..a63f5be1 100644 --- a/docs/cluster-configuration.md +++ b/docs/cluster-configuration.md @@ -19,7 +19,7 @@ cluster = Cluster(ClusterConfiguration( min_memory=2, # Default 2 max_memory=2, # Default 2 num_gpus=0, # Default 0 - image="quay.io/project-codeflare/ray:latest-py39-cu118", # Mandatory Field + image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", # Mandatory Field machine_types=["m5.xlarge", "g4dn.xlarge"], labels={"exampleLabel": "example", "secondLabel": "example"}, )) From 9a1d66d36fce8d144d0089959ab6544e56ea87f5 Mon Sep 17 00:00:00 2001 From: abhijeet-dhumal Date: Tue, 25 Jun 2024 19:52:38 +0530 Subject: [PATCH 034/254] Fix ODH notebooks sync workflow --- .github/workflows/odh-notebooks-sync.yml | 29 ++++++++++++++++++++++-- 1 file changed, 27 insertions(+), 2 deletions(-) diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml index 14a743a6..9ce1858f 100644 --- a/.github/workflows/odh-notebooks-sync.yml +++ b/.github/workflows/odh-notebooks-sync.yml @@ -25,6 +25,7 @@ env: REPO_OWNER: ${{ github.event.inputs.codeflare-repository-organization }} REPO_NAME: notebooks GITHUB_TOKEN: ${{ secrets.CODEFLARE_MACHINE_ACCOUNT_TOKEN }} + MINIMUM_SUPPORTED_PYTHON_VERSION: 3.9 jobs: build: @@ -44,7 +45,6 @@ jobs: uses: actions/setup-python@v4 with: python-version: | - 3.8 3.9 - name: Install pipenv and pip-versions @@ -92,7 +92,32 @@ jobs: for dir in "${directories[@]}"; do counter=$((counter+1)) echo "--Processing directory $counter '$dir' of total $total" - cd "$dir" && pipenv install ${package_name}~="${CODEFLARE_RELEASE_VERSION}" && pipenv --rm && cd - + cd "$dir" + minimum_supported_python_version_major=$(echo "${MINIMUM_SUPPORTED_PYTHON_VERSION}" | awk -F '.' '{print $1}') #integer of MINIMUM_SUPPORTED_PYTHON_VERSION env variable + minimum_supported_python_version_minor=$(echo "${MINIMUM_SUPPORTED_PYTHON_VERSION}" | awk -F '.' '{print $2}') #decimal of MINIMUM_SUPPORTED_PYTHON_VERSION env variable + pipfile_python_version=$(grep -E '^python_version' ./Pipfile | cut -d '"' -f 2) # extracted from pipfile + pipfile_python_version_major=$(echo "$pipfile_python_version" | awk -F '.' '{print $1}') + pipfile_python_version_minor=$(echo "$pipfile_python_version" | awk -F '.' '{print $2}') + if [[ "pipfile_python_version_major" -ge "$minimum_supported_python_version_major" && "pipfile_python_version_minor" -ge "$minimum_supported_python_version_minor" ]]; then + #install specified package + if ! pipenv install ${package_name}~="${CODEFLARE_RELEASE_VERSION}"; then + echo "Failed to install ${package_name} with version ${CODEFLARE_RELEASE_VERSION} in $dir" + exit 1 + fi + # Lock dependencies, ensuring pre-release are included and clear previous state + if ! pipenv lock --pre --clear ; then + echo "Failed to lock dependencies" + exit 1 + fi + # remove virtual env and clear cache + if ! pipenv --rm --clear ; then + echo "Failed to remove virtual environment" + exit 1 + fi + else + echo "Skipped installation of ${package_name} with version ${CODEFLARE_RELEASE_VERSION} in $dir" + fi + cd - echo "$((total-counter)) directories remaining.." done else From 34a9841b850c7281bed23dab08d2124db87ac5b1 Mon Sep 17 00:00:00 2001 From: Antonin Stefanutti Date: Fri, 28 Jun 2024 09:54:05 +0200 Subject: [PATCH 035/254] Default to Ray container image provided by OpenShift AI --- .../additional-demos/hf_interactive.ipynb | 1040 +++++------ .../additional-demos/local_interactive.ipynb | 2 +- .../additional-demos/ray_job_client.ipynb | 2 +- demo-notebooks/guided-demos/0_basic_ray.ipynb | 2 +- .../guided-demos/1_cluster_job_client.ipynb | 2 +- .../guided-demos/2_basic_interactive.ipynb | 2 +- .../notebook-ex-outputs/0_basic_ray.ipynb | 46 +- .../1_cluster_job_client.ipynb | 2 +- .../2_basic_interactive.ipynb | 1576 ++++++++--------- .../notebook-ex-outputs/interactivetest.yaml | 4 +- .../notebook-ex-outputs/jobtest.yaml | 4 +- .../notebook-ex-outputs/raytest.yaml | 4 +- .../preview_nbs/0_basic_ray.ipynb | 2 +- .../preview_nbs/1_cluster_job_client.ipynb | 2 +- .../preview_nbs/2_basic_interactive.ipynb | 2 +- docs/cluster-configuration.md | 2 +- poetry.lock | 136 +- pyproject.toml | 2 +- .../templates/base-template.yaml | 6 +- tests/e2e/support.py | 2 +- tests/test-case-bad.yaml | 6 +- tests/test-case-no-mcad.yamls | 6 +- tests/test-case.yaml | 6 +- tests/test-default-appwrapper.yaml | 6 +- tests/unit_test.py | 22 +- tests/unit_test_support.py | 2 +- 26 files changed, 1450 insertions(+), 1438 deletions(-) diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb index 3db8c11b..ad552451 100644 --- a/demo-notebooks/additional-demos/hf_interactive.ipynb +++ b/demo-notebooks/additional-demos/hf_interactive.ipynb @@ -98,7 +98,7 @@ " max_cpus=8, \n", " min_memory=16, \n", " max_memory=16, \n", - " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", + " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", " ))" @@ -153,13 +153,13 @@ ], "text/plain": [ "╭─────────────────────────╮\n", - "│ \u001b[3m \u001b[0m\u001b[1;3m 🚀 List of CodeFlare\u001b[0m\u001b[3m \u001b[0m │\n", - "│ \u001b[3m \u001b[0m\u001b[1;3mclusters in queue🚀\u001b[0m\u001b[3m \u001b[0m │\n", + "│ \u001B[3m \u001B[0m\u001B[1;3m 🚀 List of CodeFlare\u001B[0m\u001B[3m \u001B[0m │\n", + "│ \u001B[3m \u001B[0m\u001B[1;3mclusters in queue🚀\u001B[0m\u001B[3m \u001B[0m │\n", "│ +-----------+---------+ │\n", - "│ |\u001b[1m \u001b[0m\u001b[1mName \u001b[0m\u001b[1m \u001b[0m|\u001b[1m \u001b[0m\u001b[1mStatus \u001b[0m\u001b[1m \u001b[0m| │\n", + "│ |\u001B[1m \u001B[0m\u001B[1mName \u001B[0m\u001B[1m \u001B[0m|\u001B[1m \u001B[0m\u001B[1mStatus \u001B[0m\u001B[1m \u001B[0m| │\n", "│ +===========+=========+ │\n", - "│ |\u001b[36m \u001b[0m\u001b[36mhfgputest\u001b[0m\u001b[36m \u001b[0m|\u001b[35m \u001b[0m\u001b[35mpending\u001b[0m\u001b[35m \u001b[0m| │\n", - "│ |\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m|\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m| │\n", + "│ |\u001B[36m \u001B[0m\u001B[36mhfgputest\u001B[0m\u001B[36m \u001B[0m|\u001B[35m \u001B[0m\u001B[35mpending\u001B[0m\u001B[35m \u001B[0m| │\n", + "│ |\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m|\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m| │\n", "│ +-----------+---------+ │\n", "╰─────────────────────────╯\n" ] @@ -240,22 +240,22 @@ "\n" ], "text/plain": [ - "\u001b[3m \u001b[0m\u001b[1;3m 🚀 List of CodeFlare clusters 🚀\u001b[0m\u001b[3m \u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\n", + "\u001B[3m \u001B[0m\u001B[1;3m 🚀 List of CodeFlare clusters 🚀\u001B[0m\u001B[3m \u001B[0m\n", + "\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\n", " ╭────────────────────────────────────────────────────────────────╮ \n", - " │ \u001b[1;37;42mOwner\u001b[0m │ \n", - " │ \u001b[1;4mhfgputest\u001b[0m Active ✅ │ \n", + " │ \u001B[1;37;42mOwner\u001B[0m │ \n", + " │ \u001B[1;4mhfgputest\u001B[0m Active ✅ │ \n", " │ │ \n", - " │ \u001b[1mURI:\u001b[0m ray://hfgputest-head-svc.default.svc:10001 │ \n", + " │ \u001B[1mURI:\u001B[0m ray://hfgputest-head-svc.default.svc:10001 │ \n", " │ │ \n", - " │ \u001b]8;id=552692;ray-dashboard-hfgputest-default.apps.prepfullinstall.psap.aws.rhperfscale.org\u001b\\\u001b[4;34mDashboard🔗\u001b[0m\u001b]8;;\u001b\\ │ \n", + " │ \u001B]8;id=552692;ray-dashboard-hfgputest-default.apps.prepfullinstall.psap.aws.rhperfscale.org\u001B\\\u001B[4;34mDashboard🔗\u001B[0m\u001B]8;;\u001B\\ │ \n", " │ │ \n", - " │ \u001b[3m Cluster Resources \u001b[0m │ \n", + " │ \u001B[3m Cluster Resources \u001B[0m │ \n", " │ ╭─ Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n", - " │ │ \u001b[1m \u001b[0m\u001b[1mMin\u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mMax\u001b[0m\u001b[1m \u001b[0m │ │ \u001b[1m \u001b[0m\u001b[1mMemory \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mCPU \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mGPU \u001b[0m\u001b[1m \u001b[0m │ │ \n", - " │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", - " │ │ \u001b[36m \u001b[0m\u001b[36m1 \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m1 \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m16G~16G \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m8 \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m4 \u001b[0m\u001b[35m \u001b[0m │ │ \n", - " │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", + " │ │ \u001B[1m \u001B[0m\u001B[1mMin\u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mMax\u001B[0m\u001B[1m \u001B[0m │ │ \u001B[1m \u001B[0m\u001B[1mMemory \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mCPU \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mGPU \u001B[0m\u001B[1m \u001B[0m │ │ \n", + " │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", + " │ │ \u001B[36m \u001B[0m\u001B[36m1 \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m1 \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m16G~16G \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m8 \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m4 \u001B[0m\u001B[35m \u001B[0m │ │ \n", + " │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", " │ ╰────────────╯ ╰──────────────────────────────────────╯ │ \n", " ╰────────────────────────────────────────────────────────────────╯ \n" ] @@ -469,7 +469,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Downloading and preparing dataset imdb/plain_text to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/2fdd8b9bcadd6e7055e742a706876ba43f19faee861df134affd7a3f60fc38a1...\n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Downloading and preparing dataset imdb/plain_text to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/2fdd8b9bcadd6e7055e742a706876ba43f19faee861df134affd7a3f60fc38a1...\n" ] }, { @@ -645,7 +645,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Dataset imdb downloaded and prepared to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/2fdd8b9bcadd6e7055e742a706876ba43f19faee861df134affd7a3f60fc38a1. Subsequent calls will reuse this data.\n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Dataset imdb downloaded and prepared to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/2fdd8b9bcadd6e7055e742a706876ba43f19faee861df134affd7a3f60fc38a1. Subsequent calls will reuse this data.\n" ] }, { @@ -767,13 +767,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m len of train Dataset({\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m num_rows: 100\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m }) and test Dataset({\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m num_rows: 100\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m })\n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m len of train Dataset({\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m num_rows: 100\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m }) and test Dataset({\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m num_rows: 100\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m })\n" ] }, { @@ -787,54 +787,54 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m To disable this warning, you can either:\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \t- Avoid using `tokenizers` before the fork if possible\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:55:58 (running for 00:00:05.07)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 6.4/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m To disable this warning, you can either:\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \t- Avoid using `tokenizers` before the fork if possible\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:55:58 (running for 00:00:05.07)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 6.4/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m 2022-11-04 07:56:02,047\tINFO torch.py:346 -- Setting up process group for: env:// [rank=0, world_size=4]\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m 2022-11-04 07:56:02,045\tINFO torch.py:346 -- Setting up process group for: env:// [rank=2, world_size=4]\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m 2022-11-04 07:56:02,047\tINFO torch.py:346 -- Setting up process group for: env:// [rank=1, world_size=4]\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m 2022-11-04 07:56:02,048\tINFO torch.py:346 -- Setting up process group for: env:// [rank=3, world_size=4]\n" + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m 2022-11-04 07:56:02,047\tINFO torch.py:346 -- Setting up process group for: env:// [rank=0, world_size=4]\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m 2022-11-04 07:56:02,045\tINFO torch.py:346 -- Setting up process group for: env:// [rank=2, world_size=4]\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m 2022-11-04 07:56:02,047\tINFO torch.py:346 -- Setting up process group for: env:// [rank=1, world_size=4]\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m 2022-11-04 07:56:02,048\tINFO torch.py:346 -- Setting up process group for: env:// [rank=3, world_size=4]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:03 (running for 00:00:10.07)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 7.2/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:03 (running for 00:00:10.07)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 7.2/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" ] }, { @@ -881,20 +881,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:08 (running for 00:00:15.07)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 7.5/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:08 (running for 00:00:15.07)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 7.5/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" ] }, { @@ -911,510 +911,510 @@ "Downloading: 95%|█████████▌| 255M/268M [00:04<00:00, 65.7MB/s]\n", "Downloading: 98%|█████████▊| 262M/268M [00:04<00:00, 65.8MB/s]\n", "Downloading: 100%|██████████| 268M/268M [00:04<00:00, 63.9MB/s]\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_transform.bias', 'vocab_layer_norm.weight', 'vocab_transform.weight', 'vocab_projector.weight']\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'classifier.bias', 'classifier.weight', 'pre_classifier.weight']\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_transform.weight', 'vocab_transform.bias', 'vocab_layer_norm.bias', 'vocab_projector.bias', 'vocab_projector.weight', 'vocab_layer_norm.weight']\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'pre_classifier.weight', 'pre_classifier.bias', 'classifier.weight']\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.weight', 'vocab_transform.weight', 'vocab_projector.bias', 'vocab_transform.bias', 'vocab_layer_norm.bias', 'vocab_layer_norm.weight']\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'pre_classifier.bias', 'pre_classifier.weight', 'classifier.weight']\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_layer_norm.weight', 'vocab_projector.weight', 'vocab_transform.weight', 'vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_transform.bias']\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight', 'pre_classifier.bias', 'pre_classifier.weight']\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m warnings.warn(\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m ***** Running training *****\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Num examples = 6250\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Num Epochs = 1\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Instantaneous batch size per device = 16\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Total train batch size (w. parallel, distributed & accumulation) = 64\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Gradient Accumulation steps = 1\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Total optimization steps = 391\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Number of trainable parameters = 66955010\n" + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_transform.bias', 'vocab_layer_norm.weight', 'vocab_transform.weight', 'vocab_projector.weight']\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'classifier.bias', 'classifier.weight', 'pre_classifier.weight']\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_transform.weight', 'vocab_transform.bias', 'vocab_layer_norm.bias', 'vocab_projector.bias', 'vocab_projector.weight', 'vocab_layer_norm.weight']\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'pre_classifier.weight', 'pre_classifier.bias', 'classifier.weight']\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.weight', 'vocab_transform.weight', 'vocab_projector.bias', 'vocab_transform.bias', 'vocab_layer_norm.bias', 'vocab_layer_norm.weight']\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'pre_classifier.bias', 'pre_classifier.weight', 'classifier.weight']\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_layer_norm.weight', 'vocab_projector.weight', 'vocab_transform.weight', 'vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_transform.bias']\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight', 'pre_classifier.bias', 'pre_classifier.weight']\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m warnings.warn(\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m warnings.warn(\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m warnings.warn(\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m warnings.warn(\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m ***** Running training *****\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Num examples = 6250\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Num Epochs = 1\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Instantaneous batch size per device = 16\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Total train batch size (w. parallel, distributed & accumulation) = 64\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Gradient Accumulation steps = 1\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Total optimization steps = 391\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Number of trainable parameters = 66955010\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:13 (running for 00:00:20.08)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 12.3/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:13 (running for 00:00:20.08)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 12.3/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n" + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:18 (running for 00:00:25.08)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:23 (running for 00:00:30.08)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:28 (running for 00:00:35.09)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:33 (running for 00:00:40.09)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:38 (running for 00:00:45.10)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:43 (running for 00:00:50.10)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:48 (running for 00:00:55.10)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:53 (running for 00:01:00.10)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:59 (running for 00:01:05.11)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:04 (running for 00:01:10.11)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:09 (running for 00:01:15.11)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:14 (running for 00:01:20.12)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:19 (running for 00:01:25.12)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:24 (running for 00:01:30.12)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:29 (running for 00:01:35.13)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:34 (running for 00:01:40.13)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:39 (running for 00:01:45.13)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:44 (running for 00:01:50.13)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:49 (running for 00:01:55.14)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:54 (running for 00:02:00.14)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:59 (running for 00:02:05.15)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:18 (running for 00:00:25.08)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:23 (running for 00:00:30.08)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:28 (running for 00:00:35.09)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:33 (running for 00:00:40.09)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:38 (running for 00:00:45.10)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:43 (running for 00:00:50.10)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:48 (running for 00:00:55.10)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:53 (running for 00:01:00.10)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:59 (running for 00:01:05.11)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:04 (running for 00:01:10.11)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:09 (running for 00:01:15.11)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:14 (running for 00:01:20.12)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:19 (running for 00:01:25.12)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:24 (running for 00:01:30.12)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:29 (running for 00:01:35.13)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:34 (running for 00:01:40.13)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:39 (running for 00:01:45.13)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:44 (running for 00:01:50.13)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:49 (running for 00:01:55.14)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:54 (running for 00:02:00.14)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:59 (running for 00:02:05.15)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Saving model checkpoint to /tmp/hf_imdb/test/checkpoint-391\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Configuration saved in /tmp/hf_imdb/test/checkpoint-391/config.json\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Model weights saved in /tmp/hf_imdb/test/checkpoint-391/pytorch_model.bin\n" + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Saving model checkpoint to /tmp/hf_imdb/test/checkpoint-391\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Configuration saved in /tmp/hf_imdb/test/checkpoint-391/config.json\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Model weights saved in /tmp/hf_imdb/test/checkpoint-391/pytorch_model.bin\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result for HuggingFaceTrainer_c7d60_00000:\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _time_this_iter_s: 118.07144260406494\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _timestamp: 1667573883\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _training_iteration: 1\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m date: 2022-11-04_07-58-03\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m done: false\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m epoch: 1.0\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m experiment_id: 7bc6ab25d0414fcbb589bcb5d0f29b99\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m hostname: hfgputest-worker-small-group-hfgputest-q4758\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m iterations_since_restore: 1\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m node_ip: 10.129.66.16\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m pid: 146\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m should_checkpoint: true\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m step: 391\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_since_restore: 124.55581378936768\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_this_iter_s: 124.55581378936768\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_total_s: 124.55581378936768\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m timestamp: 1667573883\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m timesteps_since_restore: 0\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_loss: 0.2760564701636429\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_runtime: 109.7668\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_samples_per_second: 56.939\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_steps_per_second: 3.562\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m training_iteration: 1\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m trial_id: c7d60_00000\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m warmup_time: 0.003995656967163086\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m {'train_runtime': 109.7668, 'train_samples_per_second': 56.939, 'train_steps_per_second': 3.562, 'train_loss': 0.2760564701636429, 'epoch': 1.0}\n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result for HuggingFaceTrainer_c7d60_00000:\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _time_this_iter_s: 118.07144260406494\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _timestamp: 1667573883\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _training_iteration: 1\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m date: 2022-11-04_07-58-03\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m done: false\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m epoch: 1.0\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m experiment_id: 7bc6ab25d0414fcbb589bcb5d0f29b99\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m hostname: hfgputest-worker-small-group-hfgputest-q4758\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m iterations_since_restore: 1\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m node_ip: 10.129.66.16\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m pid: 146\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m should_checkpoint: true\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m step: 391\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_since_restore: 124.55581378936768\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_this_iter_s: 124.55581378936768\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_total_s: 124.55581378936768\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m timestamp: 1667573883\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m timesteps_since_restore: 0\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_loss: 0.2760564701636429\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_runtime: 109.7668\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_samples_per_second: 56.939\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_steps_per_second: 3.562\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m training_iteration: 1\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m trial_id: c7d60_00000\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m warmup_time: 0.003995656967163086\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m {'train_runtime': 109.7668, 'train_samples_per_second': 56.939, 'train_steps_per_second': 3.562, 'train_loss': 0.2760564701636429, 'epoch': 1.0}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m \n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m \n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Training completed. Do not forget to share your model on huggingface.co/models =)\n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m \n", - "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m \n" + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m \n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m \n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Training completed. Do not forget to share your model on huggingface.co/models =)\n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m \n", + "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:58:13 (running for 00:02:19.36)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 16.0/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc | iter | total time (s) | train_runtime | train_samples_per_second | train_steps_per_second |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 | 1 | 124.556 | 109.767 | 56.939 | 3.562 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:58:13 (running for 00:02:19.36)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 16.0/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc | iter | total time (s) | train_runtime | train_samples_per_second | train_steps_per_second |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 | 1 | 124.556 | 109.767 | 56.939 | 3.562 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m 2022-11-04 07:58:13,248\tWARNING util.py:214 -- The `process_trial_save` operation took 9.709 s, which may be a performance bottleneck.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m 2022-11-04 07:58:13,248\tWARNING trial_runner.py:856 -- Consider turning off forced head-worker trial checkpoint syncs by setting sync_on_checkpoint=False. Note that this may result in faulty trial restoration if a failure occurs while the checkpoint is being synced from the worker to the head node.\n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m 2022-11-04 07:58:13,248\tWARNING util.py:214 -- The `process_trial_save` operation took 9.709 s, which may be a performance bottleneck.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m 2022-11-04 07:58:13,248\tWARNING trial_runner.py:856 -- Consider turning off forced head-worker trial checkpoint syncs by setting sync_on_checkpoint=False. Note that this may result in faulty trial restoration if a failure occurs while the checkpoint is being synced from the worker to the head node.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result for HuggingFaceTrainer_c7d60_00000:\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _time_this_iter_s: 118.07144260406494\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _timestamp: 1667573883\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _training_iteration: 1\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m date: 2022-11-04_07-58-03\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m done: true\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m epoch: 1.0\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m experiment_id: 7bc6ab25d0414fcbb589bcb5d0f29b99\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m experiment_tag: '0'\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m hostname: hfgputest-worker-small-group-hfgputest-q4758\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m iterations_since_restore: 1\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m node_ip: 10.129.66.16\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m pid: 146\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m should_checkpoint: true\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m step: 391\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_since_restore: 124.55581378936768\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_this_iter_s: 124.55581378936768\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_total_s: 124.55581378936768\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m timestamp: 1667573883\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m timesteps_since_restore: 0\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_loss: 0.2760564701636429\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_runtime: 109.7668\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_samples_per_second: 56.939\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_steps_per_second: 3.562\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m training_iteration: 1\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m trial_id: c7d60_00000\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m warmup_time: 0.003995656967163086\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:58:16 (running for 00:02:22.40)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 9.1/240.1 GiB\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 0/10 CPUs, 0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 TERMINATED)\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc | iter | total time (s) | train_runtime | train_samples_per_second | train_steps_per_second |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | TERMINATED | 10.129.66.16:146 | 1 | 124.556 | 109.767 | 56.939 | 3.562 |\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result for HuggingFaceTrainer_c7d60_00000:\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _time_this_iter_s: 118.07144260406494\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _timestamp: 1667573883\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _training_iteration: 1\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m date: 2022-11-04_07-58-03\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m done: true\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m epoch: 1.0\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m experiment_id: 7bc6ab25d0414fcbb589bcb5d0f29b99\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m experiment_tag: '0'\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m hostname: hfgputest-worker-small-group-hfgputest-q4758\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m iterations_since_restore: 1\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m node_ip: 10.129.66.16\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m pid: 146\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m should_checkpoint: true\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m step: 391\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_since_restore: 124.55581378936768\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_this_iter_s: 124.55581378936768\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_total_s: 124.55581378936768\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m timestamp: 1667573883\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m timesteps_since_restore: 0\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_loss: 0.2760564701636429\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_runtime: 109.7668\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_samples_per_second: 56.939\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_steps_per_second: 3.562\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m training_iteration: 1\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m trial_id: c7d60_00000\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m warmup_time: 0.003995656967163086\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:58:16 (running for 00:02:22.40)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 9.1/240.1 GiB\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 0/10 CPUs, 0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 TERMINATED)\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc | iter | total time (s) | train_runtime | train_samples_per_second | train_steps_per_second |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | TERMINATED | 10.129.66.16:146 | 1 | 124.556 | 109.767 | 56.939 | 3.562 |\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m 2022-11-04 07:58:16,286\tWARNING util.py:214 -- The `process_trial_save` operation took 2.161 s, which may be a performance bottleneck.\n", - "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m 2022-11-04 07:58:16,398\tINFO tune.py:747 -- Total run time: 142.70 seconds (142.40 seconds for the tuning loop).\n" + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m 2022-11-04 07:58:16,286\tWARNING util.py:214 -- The `process_trial_save` operation took 2.161 s, which may be a performance bottleneck.\n", + "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m 2022-11-04 07:58:16,398\tINFO tune.py:747 -- Total run time: 142.70 seconds (142.40 seconds for the tuning loop).\n" ] } ], diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb index 74ac4055..1d3c83ad 100644 --- a/demo-notebooks/additional-demos/local_interactive.ipynb +++ b/demo-notebooks/additional-demos/local_interactive.ipynb @@ -62,7 +62,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", + " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", " ))" diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb index c58a4d73..c452fb31 100644 --- a/demo-notebooks/additional-demos/ray_job_client.ipynb +++ b/demo-notebooks/additional-demos/ray_job_client.ipynb @@ -53,7 +53,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", + " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", " write_to_file=False # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", "))" ] diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb index fd0eea26..0cd3419f 100644 --- a/demo-notebooks/guided-demos/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb @@ -70,7 +70,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", + " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index f32f6046..de8fafdd 100644 --- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -52,7 +52,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", + " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb index 7b89e8f0..b6a13b8c 100644 --- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -69,7 +69,7 @@ " max_cpus=2,\n", " min_memory=8,\n", " max_memory=8,\n", - " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", + " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb index ed21f46d..646e2424 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb @@ -78,7 +78,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", + " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" @@ -134,13 +134,13 @@ ], "text/plain": [ "╭───────────────────────╮\n", - "│ \u001b[3m \u001b[0m\u001b[1;3m 🚀 Cluster Queue\u001b[0m\u001b[3m \u001b[0m │\n", - "│ \u001b[3m \u001b[0m\u001b[1;3mStatus 🚀\u001b[0m\u001b[3m \u001b[0m │\n", + "│ \u001B[3m \u001B[0m\u001B[1;3m 🚀 Cluster Queue\u001B[0m\u001B[3m \u001B[0m │\n", + "│ \u001B[3m \u001B[0m\u001B[1;3mStatus 🚀\u001B[0m\u001B[3m \u001B[0m │\n", "│ +---------+---------+ │\n", - "│ |\u001b[1m \u001b[0m\u001b[1mName \u001b[0m\u001b[1m \u001b[0m|\u001b[1m \u001b[0m\u001b[1mStatus \u001b[0m\u001b[1m \u001b[0m| │\n", + "│ |\u001B[1m \u001B[0m\u001B[1mName \u001B[0m\u001B[1m \u001B[0m|\u001B[1m \u001B[0m\u001B[1mStatus \u001B[0m\u001B[1m \u001B[0m| │\n", "│ +=========+=========+ │\n", - "│ |\u001b[36m \u001b[0m\u001b[36mraytest\u001b[0m\u001b[36m \u001b[0m|\u001b[35m \u001b[0m\u001b[35mpending\u001b[0m\u001b[35m \u001b[0m| │\n", - "│ |\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m|\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m| │\n", + "│ |\u001B[36m \u001B[0m\u001B[36mraytest\u001B[0m\u001B[36m \u001B[0m|\u001B[35m \u001B[0m\u001B[35mpending\u001B[0m\u001B[35m \u001B[0m| │\n", + "│ |\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m|\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m| │\n", "│ +---------+---------+ │\n", "╰───────────────────────╯\n" ] @@ -205,15 +205,15 @@ "\n" ], "text/plain": [ - "\u001b[3m \u001b[0m\u001b[1;3m 🚀 CodeFlare Cluster Status 🚀\u001b[0m\u001b[3m \u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\n", + "\u001B[3m \u001B[0m\u001B[1;3m 🚀 CodeFlare Cluster Status 🚀\u001B[0m\u001B[3m \u001B[0m\n", + "\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\n", " ╭──────────────────────────────────────────────────────────────╮ \n", - " │ \u001b[1;37;42mName\u001b[0m │ \n", - " │ \u001b[1;4mraytest\u001b[0m Active ✅ │ \n", + " │ \u001B[1;37;42mName\u001B[0m │ \n", + " │ \u001B[1;4mraytest\u001B[0m Active ✅ │ \n", " │ │ \n", - " │ \u001b[1mURI:\u001b[0m ray://raytest-head-svc.default.svc:10001 │ \n", + " │ \u001B[1mURI:\u001B[0m ray://raytest-head-svc.default.svc:10001 │ \n", " │ │ \n", - " │ \u001b]8;id=630217;ray-dashboard-raytest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001b\\\u001b[4;34mDashboard🔗\u001b[0m\u001b]8;;\u001b\\ │ \n", + " │ \u001B]8;id=630217;ray-dashboard-raytest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001B\\\u001B[4;34mDashboard🔗\u001B[0m\u001B]8;;\u001B\\ │ \n", " │ │ \n", " ╰──────────────────────────────────────────────────────────────╯ \n" ] @@ -274,22 +274,22 @@ "\n" ], "text/plain": [ - "\u001b[3m \u001b[0m\u001b[1;3m 🚀 CodeFlare Cluster Details 🚀\u001b[0m\u001b[3m \u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\n", + "\u001B[3m \u001B[0m\u001B[1;3m 🚀 CodeFlare Cluster Details 🚀\u001B[0m\u001B[3m \u001B[0m\n", + "\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\n", " ╭───────────────────────────────────────────────────────────────╮ \n", - " │ \u001b[1;37;42mName\u001b[0m │ \n", - " │ \u001b[1;4mraytest\u001b[0m Active ✅ │ \n", + " │ \u001B[1;37;42mName\u001B[0m │ \n", + " │ \u001B[1;4mraytest\u001B[0m Active ✅ │ \n", " │ │ \n", - " │ \u001b[1mURI:\u001b[0m ray://raytest-head-svc.default.svc:10001 │ \n", + " │ \u001B[1mURI:\u001B[0m ray://raytest-head-svc.default.svc:10001 │ \n", " │ │ \n", - " │ \u001b]8;id=623965;http://ray-dashboard-raytest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001b\\\u001b[4;34mDashboard🔗\u001b[0m\u001b]8;;\u001b\\ │ \n", + " │ \u001B]8;id=623965;http://ray-dashboard-raytest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001B\\\u001B[4;34mDashboard🔗\u001B[0m\u001B]8;;\u001B\\ │ \n", " │ │ \n", - " │ \u001b[3m Cluster Resources \u001b[0m │ \n", + " │ \u001B[3m Cluster Resources \u001B[0m │ \n", " │ ╭── Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n", - " │ │ \u001b[1m \u001b[0m\u001b[1m# Workers\u001b[0m\u001b[1m \u001b[0m │ │ \u001b[1m \u001b[0m\u001b[1mMemory \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mCPU \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mGPU \u001b[0m\u001b[1m \u001b[0m │ │ \n", - " │ │ \u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", - " │ │ \u001b[35m \u001b[0m\u001b[35m2 \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m4~4 \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m1 \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m0 \u001b[0m\u001b[35m \u001b[0m │ │ \n", - " │ │ \u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", + " │ │ \u001B[1m \u001B[0m\u001B[1m# Workers\u001B[0m\u001B[1m \u001B[0m │ │ \u001B[1m \u001B[0m\u001B[1mMemory \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mCPU \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mGPU \u001B[0m\u001B[1m \u001B[0m │ │ \n", + " │ │ \u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", + " │ │ \u001B[35m \u001B[0m\u001B[35m2 \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m4~4 \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m1 \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m0 \u001B[0m\u001B[35m \u001B[0m │ │ \n", + " │ │ \u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", " │ ╰─────────────╯ ╰──────────────────────────────────────╯ │ \n", " ╰───────────────────────────────────────────────────────────────╯ \n" ] diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb index 7deb6633..b2e954e2 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb @@ -52,7 +52,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", + " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb index 5e499b6b..443ea063 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb @@ -77,7 +77,7 @@ " max_cpus=2,\n", " min_memory=8,\n", " max_memory=8,\n", - " image=\"quay.io/project-codeflare/ray:2.20.0-py39-cu118\",\n", + " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" @@ -134,22 +134,22 @@ "\n" ], "text/plain": [ - "\u001b[3m \u001b[0m\u001b[1;3m 🚀 CodeFlare Cluster Details 🚀\u001b[0m\u001b[3m \u001b[0m\n", - "\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\n", + "\u001B[3m \u001B[0m\u001B[1;3m 🚀 CodeFlare Cluster Details 🚀\u001B[0m\u001B[3m \u001B[0m\n", + "\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\n", " ╭──────────────────────────────────────────────────────────────────────╮ \n", - " │ \u001b[1;37;42mName\u001b[0m │ \n", - " │ \u001b[1;4minteractivetest\u001b[0m Active ✅ │ \n", + " │ \u001B[1;37;42mName\u001B[0m │ \n", + " │ \u001B[1;4minteractivetest\u001B[0m Active ✅ │ \n", " │ │ \n", - " │ \u001b[1mURI:\u001b[0m ray://interactivetest-head-svc.default.svc:10001 │ \n", + " │ \u001B[1mURI:\u001B[0m ray://interactivetest-head-svc.default.svc:10001 │ \n", " │ │ \n", - " │ \u001b]8;id=970589;http://ray-dashboard-interactivetest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001b\\\u001b[4;34mDashboard🔗\u001b[0m\u001b]8;;\u001b\\ │ \n", + " │ \u001B]8;id=970589;http://ray-dashboard-interactivetest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001B\\\u001B[4;34mDashboard🔗\u001B[0m\u001B]8;;\u001B\\ │ \n", " │ │ \n", - " │ \u001b[3m Cluster Resources \u001b[0m │ \n", + " │ \u001B[3m Cluster Resources \u001B[0m │ \n", " │ ╭── Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n", - " │ │ \u001b[1m \u001b[0m\u001b[1m# Workers\u001b[0m\u001b[1m \u001b[0m │ │ \u001b[1m \u001b[0m\u001b[1mMemory \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mCPU \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mGPU \u001b[0m\u001b[1m \u001b[0m │ │ \n", - " │ │ \u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", - " │ │ \u001b[35m \u001b[0m\u001b[35m2 \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m8~8 \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m2 \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m1 \u001b[0m\u001b[35m \u001b[0m │ │ \n", - " │ │ \u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", + " │ │ \u001B[1m \u001B[0m\u001B[1m# Workers\u001B[0m\u001B[1m \u001B[0m │ │ \u001B[1m \u001B[0m\u001B[1mMemory \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mCPU \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mGPU \u001B[0m\u001B[1m \u001B[0m │ │ \n", + " │ │ \u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", + " │ │ \u001B[35m \u001B[0m\u001B[35m2 \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m8~8 \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m2 \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m1 \u001B[0m\u001B[35m \u001B[0m │ │ \n", + " │ │ \u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", " │ ╰─────────────╯ ╰──────────────────────────────────────╯ │ \n", " ╰──────────────────────────────────────────────────────────────────────╯ \n" ] @@ -381,7 +381,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Downloading and preparing dataset imdb/plain_text to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/d613c88cf8fa3bab83b4ded3713f1f74830d1100e171db75bbddb80b3345c9c0...\n" + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Downloading and preparing dataset imdb/plain_text to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/d613c88cf8fa3bab83b4ded3713f1f74830d1100e171db75bbddb80b3345c9c0...\n" ] }, { @@ -494,7 +494,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Dataset imdb downloaded and prepared to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/d613c88cf8fa3bab83b4ded3713f1f74830d1100e171db75bbddb80b3345c9c0. Subsequent calls will reuse this data.\n" + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Dataset imdb downloaded and prepared to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/d613c88cf8fa3bab83b4ded3713f1f74830d1100e171db75bbddb80b3345c9c0. Subsequent calls will reuse this data.\n" ] }, { @@ -613,13 +613,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m len of train Dataset({\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m num_rows: 100\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m }) and test Dataset({\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m num_rows: 100\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m })\n" + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m len of train Dataset({\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m num_rows: 100\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m }) and test Dataset({\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m num_rows: 100\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m })\n" ] }, { @@ -627,106 +627,106 @@ "output_type": "stream", "text": [ " \n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m 2023-08-09 14:51:50,865\tWARNING dataset.py:253 -- \u001b[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001b[0m\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m /tmp/ipykernel_265/307576807.py:57: DeprecationWarning: `HuggingFaceTrainer`, `HuggingFacePredictor` and `HuggingFaceCheckpoint` have been renamed to `TransformersTrainer`, `TransformersPredictor` and `TransformersCheckpoint` respectively. Update your code to use the new import paths. This will raise an exception in the future.\n" + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m 2023-08-09 14:51:50,865\tWARNING dataset.py:253 -- \u001B[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001B[0m\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m /tmp/ipykernel_265/307576807.py:57: DeprecationWarning: `HuggingFaceTrainer`, `HuggingFacePredictor` and `HuggingFaceCheckpoint` have been renamed to `TransformersTrainer`, `TransformersPredictor` and `TransformersCheckpoint` respectively. Update your code to use the new import paths. This will raise an exception in the future.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m To disable this warning, you can either:\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \t- Avoid using `tokenizers` before the fork if possible\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Current time: 2023-08-09 14:51:51 (running for 00:00:00.12)\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Logical resource usage: 0/6 CPUs, 0/2 GPUs\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Number of trials: 1/1 (1 PENDING)\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-------+\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m |--------------------------------+----------+-------|\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | HuggingFaceTrainer_f2621_00000 | PENDING | |\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-------+\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n" + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m To disable this warning, you can either:\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \t- Avoid using `tokenizers` before the fork if possible\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Current time: 2023-08-09 14:51:51 (running for 00:00:00.12)\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Logical resource usage: 0/6 CPUs, 0/2 GPUs\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Number of trials: 1/1 (1 PENDING)\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-------+\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m |--------------------------------+----------+-------|\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | HuggingFaceTrainer_f2621_00000 | PENDING | |\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-------+\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:55,978\tWARNING dataset.py:253 -- \u001b[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n", - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m \n", - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001b[0m\n" + "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:55,978\tWARNING dataset.py:253 -- \u001B[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n", + "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m \n", + "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001B[0m\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Current time: 2023-08-09 14:51:56 (running for 00:00:05.16)\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Logical resource usage: 1.0/6 CPUs, 2.0/2 GPUs\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-----------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m |--------------------------------+----------+-----------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | HuggingFaceTrainer_f2621_00000 | RUNNING | 10.130.4.19:196 |\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-----------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n" + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Current time: 2023-08-09 14:51:56 (running for 00:00:05.16)\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Logical resource usage: 1.0/6 CPUs, 2.0/2 GPUs\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-----------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m |--------------------------------+----------+-----------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | HuggingFaceTrainer_f2621_00000 | RUNNING | 10.130.4.19:196 |\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-----------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:57,260\tINFO backend_executor.py:137 -- Starting distributed worker processes: ['235 (10.130.4.19)', '232 (10.129.4.19)']\n", - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,957\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,957\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,958\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,969\tINFO streaming_executor.py:149 -- Shutting down .\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,912\tINFO config.py:86 -- Setting up process group for: env:// [rank=0, world_size=2]\n" + "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:57,260\tINFO backend_executor.py:137 -- Starting distributed worker processes: ['235 (10.130.4.19)', '232 (10.129.4.19)']\n", + "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:58,957\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", + "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:58,957\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", + "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:58,958\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", + "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:58,969\tINFO streaming_executor.py:149 -- Shutting down .\n", + "\u001B[2m\u001B[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:58,912\tINFO config.py:86 -- Setting up process group for: env:// [rank=0, world_size=2]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Current time: 2023-08-09 14:52:01 (running for 00:00:10.18)\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Logical resource usage: 1.0/6 CPUs, 2.0/2 GPUs\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-----------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m |--------------------------------+----------+-----------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | HuggingFaceTrainer_f2621_00000 | RUNNING | 10.130.4.19:196 |\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-----------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n" + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m == Status ==\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Current time: 2023-08-09 14:52:01 (running for 00:00:10.18)\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Using FIFO scheduling algorithm.\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Logical resource usage: 1.0/6 CPUs, 2.0/2 GPUs\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-----------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | Trial name | status | loc |\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m |--------------------------------+----------+-----------------|\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | HuggingFaceTrainer_f2621_00000 | RUNNING | 10.130.4.19:196 |\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-----------------+\n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n", + "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,274\tINFO streaming_executor.py:149 -- Shutting down .\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,263\tINFO streaming_executor.py:149 -- Shutting down .\n", + "\u001B[2m\u001B[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001B[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", + "\u001B[2m\u001B[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001B[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", + "\u001B[2m\u001B[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001B[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", + "\u001B[2m\u001B[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001B[0m 2023-08-09 14:52:01,274\tINFO streaming_executor.py:149 -- Shutting down .\n", + "\u001B[2m\u001B[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001B[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", + "\u001B[2m\u001B[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001B[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", + "\u001B[2m\u001B[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001B[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", + "\u001B[2m\u001B[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001B[0m 2023-08-09 14:52:01,263\tINFO streaming_executor.py:149 -- Shutting down .\n", "Downloading (…)lve/main/config.json: 100%|██████████| 483/483 [00:00<00:00, 151kB/s]\n", "Downloading (…)lve/main/config.json: 100%|██████████| 483/483 [00:00<00:00, 146kB/s]\n", "Downloading model.safetensors: 0%| | 0.00/268M [00:00=3.8" files = [ - 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Make sure all Ray containers are running this version of Ray. - rayVersion: '2.20.0' + rayVersion: '2.23.0' # If enableInTreeAutoscaling is true, the autoscaler sidecar will be added to the Ray head pod. # Ray autoscaler integration is supported only for Ray versions >= 1.11.0 # Ray autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0. @@ -69,7 +69,7 @@ spec: containers: # The Ray head pod - name: ray-head - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + image: quay.io/rhoai/ray:2.23.0-py39-cu121 imagePullPolicy: Always ports: - containerPort: 6379 @@ -152,7 +152,7 @@ spec: spec: containers: - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name', or '123-abc' - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + image: quay.io/rhoai/ray:2.23.0-py39-cu121 # environment variables to set in the container.Optional. # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/ lifecycle: diff --git a/tests/e2e/support.py b/tests/e2e/support.py index 04c9cb42..d8a06bb7 100644 --- a/tests/e2e/support.py +++ b/tests/e2e/support.py @@ -8,7 +8,7 @@ def get_ray_image(): - default_ray_image = "quay.io/project-codeflare/ray:2.20.0-py39-cu118" + default_ray_image = "quay.io/rhoai/ray:2.23.0-py39-cu121" return os.getenv("RAY_IMAGE", default_ray_image) diff --git a/tests/test-case-bad.yaml b/tests/test-case-bad.yaml index 18dcb7d7..d4d230d4 100644 --- a/tests/test-case-bad.yaml +++ b/tests/test-case-bad.yaml @@ -42,7 +42,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + image: quay.io/rhoai/ray:2.23.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -68,7 +68,7 @@ spec: cpu: 2 memory: 8G nvidia.com/gpu: 0 - rayVersion: 2.20.0 + rayVersion: 2.23.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster maxReplicas: 2 @@ -90,7 +90,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + image: quay.io/rhoai/ray:2.23.0-py39-cu121 lifecycle: preStop: exec: diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index d8d2516c..2d0e7e9b 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -33,7 +33,7 @@ spec: template: spec: containers: - - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + - image: quay.io/rhoai/ray:2.23.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -89,7 +89,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.20.0 + rayVersion: 2.23.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster-ray maxReplicas: 2 @@ -106,7 +106,7 @@ spec: key: value spec: containers: - - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + - image: quay.io/rhoai/ray:2.23.0-py39-cu121 lifecycle: preStop: exec: diff --git a/tests/test-case.yaml b/tests/test-case.yaml index c5229ce7..00b241af 100644 --- a/tests/test-case.yaml +++ b/tests/test-case.yaml @@ -38,7 +38,7 @@ spec: template: spec: containers: - - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + - image: quay.io/rhoai/ray:2.23.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -94,7 +94,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.20.0 + rayVersion: 2.23.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster maxReplicas: 2 @@ -111,7 +111,7 @@ spec: key: value spec: containers: - - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + - image: quay.io/rhoai/ray:2.23.0-py39-cu121 lifecycle: preStop: exec: diff --git a/tests/test-default-appwrapper.yaml b/tests/test-default-appwrapper.yaml index 8fd1873f..cc44e234 100644 --- a/tests/test-default-appwrapper.yaml +++ b/tests/test-default-appwrapper.yaml @@ -38,7 +38,7 @@ spec: template: spec: containers: - - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + - image: quay.io/rhoai/ray:2.23.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -93,7 +93,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.20.0 + rayVersion: 2.23.0 workerGroupSpecs: - groupName: small-group-unit-test-default-cluster maxReplicas: 1 @@ -110,7 +110,7 @@ spec: key: value spec: containers: - - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + - image: quay.io/rhoai/ray:2.23.0-py39-cu121 lifecycle: preStop: exec: diff --git a/tests/unit_test.py b/tests/unit_test.py index 61870b2a..6346d462 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -261,7 +261,7 @@ def test_config_creation(): assert config.min_cpus == 3 and config.max_cpus == 4 assert config.min_memory == "5G" and config.max_memory == "6G" assert config.num_gpus == 7 - assert config.image == "quay.io/project-codeflare/ray:2.20.0-py39-cu118" + assert config.image == "quay.io/rhoai/ray:2.23.0-py39-cu121" assert config.template == f"{parent}/src/codeflare_sdk/templates/base-template.yaml" assert config.machine_types == ["cpu.small", "gpu.large"] assert config.image_pull_secrets == ["unit-test-pull-secret"] @@ -400,7 +400,7 @@ def test_cluster_creation_no_mcad_local_queue(mocker): num_gpus=7, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], - image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", + image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=True, appwrapper=False, local_queue="local-queue-default", @@ -428,7 +428,7 @@ def test_default_cluster_creation(mocker): ) default_config = ClusterConfiguration( name="unit-test-default-cluster", - image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", + image="quay.io/rhoai/ray:2.23.0-py39-cu121", appwrapper=True, ) cluster = Cluster(default_config) @@ -777,7 +777,7 @@ def test_ray_job_wrapping(mocker): return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), ) cluster = cluster = createClusterWithConfig(mocker) - cluster.config.image = "quay.io/project-codeflare/ray:2.20.0-py39-cu118" + cluster.config.image = "quay.io/rhoai/ray:2.23.0-py39-cu121" mocker.patch( "ray.job_submission.JobSubmissionClient._check_connection_and_version_with_url", return_value="None", @@ -897,7 +897,7 @@ def test_ray_details(mocker, capsys): ClusterConfiguration( name="raytest2", namespace="ns", - image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", + image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=True, appwrapper=True, local_queue="local_default_queue", @@ -1183,7 +1183,7 @@ def get_ray_obj(group, version, namespace, plural, cls=None): }, }, }, - "rayVersion": "2.20.0", + "rayVersion": "2.23.0", "workerGroupSpecs": [ { "groupName": "small-group-quicktest", @@ -1417,7 +1417,7 @@ def get_ray_obj(group, version, namespace, plural, cls=None): } }, }, - "rayVersion": "2.20.0", + "rayVersion": "2.23.0", "workerGroupSpecs": [ { "groupName": "small-group-quicktest2", @@ -1790,7 +1790,7 @@ def get_aw_obj(group, version, namespace, plural): } }, }, - "rayVersion": "2.20.0", + "rayVersion": "2.23.0", "workerGroupSpecs": [ { "groupName": "small-group-quicktest", @@ -2294,7 +2294,7 @@ def test_cluster_status(mocker): ClusterConfiguration( name="test", namespace="ns", - image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", + image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=True, appwrapper=True, local_queue="local_default_queue", @@ -2389,7 +2389,7 @@ def test_wait_ready(mocker, capsys): ClusterConfiguration( name="test", namespace="ns", - image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", + image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=True, appwrapper=True, local_queue="local-queue-default", @@ -2616,7 +2616,7 @@ def throw_if_getting_raycluster(group, version, namespace, plural): cluster = Cluster( ClusterConfiguration( "test_cluster", - image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", + image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=False, ) ) diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index 6e662db4..9e7a60b6 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -17,7 +17,7 @@ def createClusterConfig(): appwrapper=True, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], - image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", + image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=True, ) return config From 47654d1865e8a51a98561349ef75994b90b3bc9e Mon Sep 17 00:00:00 2001 From: Antonin Stefanutti Date: Fri, 28 Jun 2024 17:32:16 +0200 Subject: [PATCH 036/254] test: Upgrade pytorch_lightning to fix invalid metadata --- .../guided-demos/notebook-ex-outputs/requirements.txt | 2 +- demo-notebooks/guided-demos/preview_nbs/requirements.txt | 2 +- tests/e2e/mnist_pip_requirements.txt | 2 +- tests/unit_test.py | 4 ++-- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt index 7266b064..e77d612b 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt @@ -1,4 +1,4 @@ -pytorch_lightning==1.5.10 +pytorch_lightning==1.9.5 ray_lightning torchmetrics==0.9.1 torchvision==0.12.0 diff --git a/demo-notebooks/guided-demos/preview_nbs/requirements.txt b/demo-notebooks/guided-demos/preview_nbs/requirements.txt index 7266b064..e77d612b 100644 --- a/demo-notebooks/guided-demos/preview_nbs/requirements.txt +++ b/demo-notebooks/guided-demos/preview_nbs/requirements.txt @@ -1,4 +1,4 @@ -pytorch_lightning==1.5.10 +pytorch_lightning==1.9.5 ray_lightning torchmetrics==0.9.1 torchvision==0.12.0 diff --git a/tests/e2e/mnist_pip_requirements.txt b/tests/e2e/mnist_pip_requirements.txt index 87edeef2..4c9d5fcb 100644 --- a/tests/e2e/mnist_pip_requirements.txt +++ b/tests/e2e/mnist_pip_requirements.txt @@ -1,3 +1,3 @@ -pytorch_lightning==1.5.10 +pytorch_lightning==1.9.5 torchmetrics==0.9.1 torchvision==0.12.0 diff --git a/tests/unit_test.py b/tests/unit_test.py index 6346d462..e8fa61c3 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -2767,8 +2767,8 @@ def test_rjc_tail_job_logs(ray_job_client, mocker): def test_rjc_list_jobs(ray_job_client, mocker): jobs_list = [ - "JobDetails(type=, job_id=None, submission_id='raysubmit_4k2NYS1YbRXYPZCM', driver_info=None, status=, entrypoint='python mnist.py', message='Job finished successfully.', error_type=None, start_time=1701352132585, end_time=1701352192002, metadata={}, runtime_env={'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {'packages': ['pytorch_lightning==1.5.10', 'ray_lightning', 'torchmetrics==0.9.1', 'torchvision==0.12.0'], 'pip_check': False}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')", - "JobDetails(type=, job_id=None, submission_id='raysubmit_iRuwU8vdkbUZZGvT', driver_info=None, status=, entrypoint='python mnist.py', message='Job was intentionally stopped.', error_type=None, start_time=1701353096163, end_time=1701353097733, metadata={}, runtime_env={'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {'packages': ['pytorch_lightning==1.5.10', 'ray_lightning', 'torchmetrics==0.9.1', 'torchvision==0.12.0'], 'pip_check': False}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')", + "JobDetails(type=, job_id=None, submission_id='raysubmit_4k2NYS1YbRXYPZCM', driver_info=None, status=, entrypoint='python mnist.py', message='Job finished successfully.', error_type=None, start_time=1701352132585, end_time=1701352192002, metadata={}, runtime_env={'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {'packages': ['pytorch_lightning==1.9.5', 'ray_lightning', 'torchmetrics==0.9.1', 'torchvision==0.12.0'], 'pip_check': False}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')", + "JobDetails(type=, job_id=None, submission_id='raysubmit_iRuwU8vdkbUZZGvT', driver_info=None, status=, entrypoint='python mnist.py', message='Job was intentionally stopped.', error_type=None, start_time=1701353096163, end_time=1701353097733, metadata={}, runtime_env={'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {'packages': ['pytorch_lightning==1.9.5', 'ray_lightning', 'torchmetrics==0.9.1', 'torchvision==0.12.0'], 'pip_check': False}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')", ] mocked_rjc_list_jobs = mocker.patch.object( JobSubmissionClient, "list_jobs", return_value=jobs_list From ff3ade70321939e17535b19857ea2b7326bf7a65 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Mon, 1 Jul 2024 15:11:18 +0100 Subject: [PATCH 037/254] Added Varsha to OWNERS file --- OWNERS | 2 ++ 1 file changed, 2 insertions(+) diff --git a/OWNERS b/OWNERS index fdb68837..c7dd78c3 100644 --- a/OWNERS +++ b/OWNERS @@ -7,6 +7,7 @@ approvers: - kpostoffice - maxusmusti - MichaelClifford + - varshaprasad96 reviewers: - anishasthana - astefanutti @@ -18,3 +19,4 @@ reviewers: - kpostoffice - maxusmusti - MichaelClifford + - varshaprasad96 From a36ebdb63c7d017c234608eb8ad4866872f7fcf1 Mon Sep 17 00:00:00 2001 From: Alex Fan Date: Mon, 27 May 2024 12:34:32 +0100 Subject: [PATCH 038/254] Update SDK args --- src/codeflare_sdk/cluster/cluster.py | 50 ++++++------- src/codeflare_sdk/cluster/config.py | 69 ++++++++++++++---- src/codeflare_sdk/utils/generate_yaml.py | 72 +++++++++++-------- tests/e2e/local_interactive_sdk_kind_test.py | 10 +-- tests/e2e/local_interactive_sdk_oauth_test.py | 10 +-- tests/e2e/mnist_raycluster_sdk_kind_test.py | 10 +-- tests/e2e/mnist_raycluster_sdk_oauth_test.py | 10 +-- tests/e2e/start_ray_cluster.py | 10 +-- tests/unit_test.py | 52 +++++++++----- tests/unit_test_support.py | 10 +-- tests/upgrade/raycluster_sdk_upgrade_test.py | 10 +-- 11 files changed, 193 insertions(+), 120 deletions(-) diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index e5bbcd86..b823cfd5 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -137,12 +137,12 @@ def create_app_wrapper(self): namespace = self.config.namespace head_cpus = self.config.head_cpus head_memory = self.config.head_memory - head_gpus = self.config.head_gpus - min_cpu = self.config.min_cpus - max_cpu = self.config.max_cpus - min_memory = self.config.min_memory - max_memory = self.config.max_memory - gpu = self.config.num_gpus + num_head_gpus = self.config.num_head_gpus + worker_cpu_requests = self.config.worker_cpu_requests + worker_cpu_limits = self.config.worker_cpu_limits + worker_memory_requests = self.config.worker_memory_requests + worker_memory_limits = self.config.worker_memory_limits + num_worker_gpus = self.config.num_worker_gpus workers = self.config.num_workers template = self.config.template image = self.config.image @@ -157,12 +157,12 @@ def create_app_wrapper(self): namespace=namespace, head_cpus=head_cpus, head_memory=head_memory, - head_gpus=head_gpus, - min_cpu=min_cpu, - max_cpu=max_cpu, - min_memory=min_memory, - max_memory=max_memory, - gpu=gpu, + num_head_gpus=num_head_gpus, + worker_cpu_requests=worker_cpu_requests, + worker_cpu_limits=worker_cpu_limits, + worker_memory_requests=worker_memory_requests, + worker_memory_limits=worker_memory_limits, + num_worker_gpus=num_worker_gpus, workers=workers, template=template, image=image, @@ -318,7 +318,7 @@ def status( if print_to_console: # overriding the number of gpus with requested - cluster.worker_gpu = self.config.num_gpus + cluster.worker_gpu = self.config.num_worker_gpus pretty_print.print_cluster_status(cluster) elif print_to_console: if status == CodeFlareClusterStatus.UNKNOWN: @@ -474,19 +474,19 @@ def from_k8_cluster_object( namespace=rc["metadata"]["namespace"], machine_types=machine_types, num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"], - min_cpus=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["requests"]["cpu"], - max_cpus=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["cpu"], - min_memory=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ - "containers" - ][0]["resources"]["requests"]["memory"], - max_memory=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_memory_requests=rc["spec"]["workerGroupSpecs"][0]["template"][ + "spec" + ]["containers"][0]["resources"]["requests"]["memory"], + worker_memory_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["memory"], - num_gpus=int( + num_worker_gpus=int( rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][0][ "resources" ]["limits"]["nvidia.com/gpu"] @@ -917,15 +917,15 @@ def _copy_to_ray(cluster: Cluster) -> RayCluster: name=cluster.config.name, status=cluster.status(print_to_console=False)[0], workers=cluster.config.num_workers, - worker_mem_min=cluster.config.min_memory, - worker_mem_max=cluster.config.max_memory, - worker_cpu=cluster.config.min_cpus, - worker_gpu=cluster.config.num_gpus, + worker_mem_min=cluster.config.worker_memory_requests, + worker_mem_max=cluster.config.worker_memory_limits, + worker_cpu=cluster.config.worker_cpu_requests, + worker_gpu=cluster.config.num_worker_gpus, namespace=cluster.config.namespace, dashboard=cluster.cluster_dashboard_uri(), head_cpus=cluster.config.head_cpus, head_mem=cluster.config.head_memory, - head_gpu=cluster.config.head_gpus, + head_gpu=cluster.config.num_head_gpus, ) if ray.status == CodeFlareClusterStatus.READY: ray.status = RayClusterStatus.READY diff --git a/src/codeflare_sdk/cluster/config.py b/src/codeflare_sdk/cluster/config.py index 9e069c37..cb8e3d3d 100644 --- a/src/codeflare_sdk/cluster/config.py +++ b/src/codeflare_sdk/cluster/config.py @@ -21,6 +21,7 @@ from dataclasses import dataclass, field import pathlib import typing +import warnings dir = pathlib.Path(__file__).parent.parent.resolve() @@ -37,14 +38,20 @@ class ClusterConfiguration: head_info: list = field(default_factory=list) head_cpus: typing.Union[int, str] = 2 head_memory: typing.Union[int, str] = 8 - head_gpus: int = 0 + head_gpus: int = None # Deprecating + num_head_gpus: int = 0 machine_types: list = field(default_factory=list) # ["m4.xlarge", "g4dn.xlarge"] - min_cpus: typing.Union[int, str] = 1 - max_cpus: typing.Union[int, str] = 1 + worker_cpu_requests: typing.Union[int, str] = 1 + worker_cpu_limits: typing.Union[int, str] = 1 + min_cpus: typing.Union[int, str] = None # Deprecating + max_cpus: typing.Union[int, str] = None # Deprecating num_workers: int = 1 - min_memory: typing.Union[int, str] = 2 - max_memory: typing.Union[int, str] = 2 - num_gpus: int = 0 + worker_memory_requests: typing.Union[int, str] = 2 + worker_memory_limits: typing.Union[int, str] = 2 + min_memory: typing.Union[int, str] = None # Deprecating + max_memory: typing.Union[int, str] = None # Deprecating + num_worker_gpus: int = 0 + num_gpus: int = None # Deprecating template: str = f"{dir}/templates/base-template.yaml" appwrapper: bool = False envs: dict = field(default_factory=dict) @@ -59,23 +66,57 @@ def __post_init__(self): print( "Warning: TLS verification has been disabled - Endpoint checks will be bypassed" ) + self._memory_to_string() self._str_mem_no_unit_add_GB() + self._memory_to_resource() + self._gpu_to_resource() + self._cpu_to_resource() def _str_mem_no_unit_add_GB(self): if isinstance(self.head_memory, str) and self.head_memory.isdecimal(): self.head_memory = f"{self.head_memory}G" - if isinstance(self.min_memory, str) and self.min_memory.isdecimal(): - self.min_memory = f"{self.min_memory}G" - if isinstance(self.max_memory, str) and self.max_memory.isdecimal(): - self.max_memory = f"{self.max_memory}G" + if ( + isinstance(self.worker_memory_requests, str) + and self.worker_memory_requests.isdecimal() + ): + self.worker_memory_requests = f"{self.worker_memory_requests}G" + if ( + isinstance(self.worker_memory_limits, str) + and self.worker_memory_limits.isdecimal() + ): + self.worker_memory_limits = f"{self.worker_memory_limits}G" def _memory_to_string(self): if isinstance(self.head_memory, int): self.head_memory = f"{self.head_memory}G" - if isinstance(self.min_memory, int): - self.min_memory = f"{self.min_memory}G" - if isinstance(self.max_memory, int): - self.max_memory = f"{self.max_memory}G" + if isinstance(self.worker_memory_requests, int): + self.worker_memory_requests = f"{self.worker_memory_requests}G" + if isinstance(self.worker_memory_limits, int): + self.worker_memory_limits = f"{self.worker_memory_limits}G" + + def _gpu_to_resource(self): + if self.head_gpus: + warnings.warn("head_gpus is being deprecated, use num_head_gpus") + self.num_head_gpus = self.head_gpus + if self.num_gpus: + warnings.warn("num_gpus is being deprecated, use num_worker_gpus") + self.num_worker_gpus = self.num_gpus + + def _cpu_to_resource(self): + if self.min_cpus: + warnings.warn("min_cpus is being deprecated, use worker_cpu_requests") + self.worker_cpu_requests = self.min_cpus + if self.max_cpus: + warnings.warn("max_cpus is being deprecated, use worker_cpu_limits") + self.worker_cpu_limits = self.max_cpus + + def _memory_to_resource(self): + if self.min_memory: + warnings.warn("min_memory is being deprecated, use worker_memory_requests") + self.worker_memory_requests = f"{self.min_memory}G" + if self.max_memory: + warnings.warn("max_memory is being deprecated, use worker_memory_limits") + self.worker_memory_limits = f"{self.max_memory}G" local_queue: str = None diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index 30edcd91..18370564 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -106,39 +106,46 @@ def update_env(spec, env): container["env"] = env -def update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu): +def update_resources( + spec, + worker_cpu_requests, + worker_cpu_limits, + worker_memory_requests, + worker_memory_limits, + num_worker_gpus, +): container = spec.get("containers") for resource in container: requests = resource.get("resources").get("requests") if requests is not None: - requests["cpu"] = min_cpu - requests["memory"] = min_memory - requests["nvidia.com/gpu"] = gpu + requests["cpu"] = worker_cpu_requests + requests["memory"] = worker_memory_requests + requests["nvidia.com/gpu"] = num_worker_gpus limits = resource.get("resources").get("limits") if limits is not None: - limits["cpu"] = max_cpu - limits["memory"] = max_memory - limits["nvidia.com/gpu"] = gpu + limits["cpu"] = worker_cpu_limits + limits["memory"] = worker_memory_limits + limits["nvidia.com/gpu"] = num_worker_gpus def update_nodes( cluster_yaml, appwrapper_name, - min_cpu, - max_cpu, - min_memory, - max_memory, - gpu, + worker_cpu_requests, + worker_cpu_limits, + worker_memory_requests, + worker_memory_limits, + num_worker_gpus, workers, image, env, image_pull_secrets, head_cpus, head_memory, - head_gpus, + num_head_gpus, ): head = cluster_yaml.get("spec").get("headGroupSpec") - head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) + head["rayStartParams"]["num-gpus"] = str(int(num_head_gpus)) worker = cluster_yaml.get("spec").get("workerGroupSpecs")[0] # Head counts as first worker @@ -146,7 +153,7 @@ def update_nodes( worker["minReplicas"] = workers worker["maxReplicas"] = workers worker["groupName"] = "small-group-" + appwrapper_name - worker["rayStartParams"]["num-gpus"] = str(int(gpu)) + worker["rayStartParams"]["num-gpus"] = str(int(num_worker_gpus)) for comp in [head, worker]: spec = comp.get("template").get("spec") @@ -156,10 +163,17 @@ def update_nodes( if comp == head: # TODO: Eventually add head node configuration outside of template update_resources( - spec, head_cpus, head_cpus, head_memory, head_memory, head_gpus + spec, head_cpus, head_cpus, head_memory, head_memory, num_head_gpus ) else: - update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu) + update_resources( + spec, + worker_cpu_requests, + worker_cpu_limits, + worker_memory_requests, + worker_memory_limits, + num_worker_gpus, + ) def del_from_list_by_name(l: list, target: typing.List[str]) -> list: @@ -265,12 +279,12 @@ def generate_appwrapper( namespace: str, head_cpus: int, head_memory: int, - head_gpus: int, - min_cpu: int, - max_cpu: int, - min_memory: int, - max_memory: int, - gpu: int, + num_head_gpus: int, + worker_cpu_requests: int, + worker_cpu_limits: int, + worker_memory_requests: int, + worker_memory_limits: int, + num_worker_gpus: int, workers: int, template: str, image: str, @@ -287,18 +301,18 @@ def generate_appwrapper( update_nodes( cluster_yaml, appwrapper_name, - min_cpu, - max_cpu, - min_memory, - max_memory, - gpu, + worker_cpu_requests, + worker_cpu_limits, + worker_memory_requests, + worker_memory_limits, + num_worker_gpus, workers, image, env, image_pull_secrets, head_cpus, head_memory, - head_gpus, + num_head_gpus, ) augment_labels(cluster_yaml, labels) notebook_annotations(cluster_yaml) diff --git a/tests/e2e/local_interactive_sdk_kind_test.py b/tests/e2e/local_interactive_sdk_kind_test.py index 647ac472..999c72e1 100644 --- a/tests/e2e/local_interactive_sdk_kind_test.py +++ b/tests/e2e/local_interactive_sdk_kind_test.py @@ -39,11 +39,11 @@ def run_local_interactives(self): num_workers=1, head_cpus="500m", head_memory=2, - min_cpus="500m", - max_cpus=1, - min_memory=1, - max_memory=2, - num_gpus=0, + worker_cpu_requests="500m", + worker_cpu_limits=1, + worker_memory_requests=1, + worker_memory_limits=2, + num_worker_gpus=0, image=ray_image, write_to_file=True, verify_tls=False, diff --git a/tests/e2e/local_interactive_sdk_oauth_test.py b/tests/e2e/local_interactive_sdk_oauth_test.py index c3fd1d85..a2d5b612 100644 --- a/tests/e2e/local_interactive_sdk_oauth_test.py +++ b/tests/e2e/local_interactive_sdk_oauth_test.py @@ -44,11 +44,11 @@ def run_local_interactives(self): namespace=self.namespace, name=cluster_name, num_workers=1, - min_cpus=1, - max_cpus=1, - min_memory=4, - max_memory=4, - num_gpus=0, + worker_cpu_requests=1, + worker_cpu_limits=1, + worker_memory_requests=4, + worker_memory_limits=4, + num_worker_gpus=0, image=ray_image, verify_tls=False, ) diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py index 630bc5df..d8539722 100644 --- a/tests/e2e/mnist_raycluster_sdk_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py @@ -37,11 +37,11 @@ def run_mnist_raycluster_sdk_kind(self): num_workers=1, head_cpus="500m", head_memory=2, - min_cpus="500m", - max_cpus=1, - min_memory=1, - max_memory=2, - num_gpus=0, + worker_cpu_requests="500m", + worker_cpu_limits=1, + worker_memory_requests=1, + worker_memory_limits=2, + num_worker_gpus=0, image=ray_image, write_to_file=True, verify_tls=False, diff --git a/tests/e2e/mnist_raycluster_sdk_oauth_test.py b/tests/e2e/mnist_raycluster_sdk_oauth_test.py index e489c39f..ed2f4fb1 100644 --- a/tests/e2e/mnist_raycluster_sdk_oauth_test.py +++ b/tests/e2e/mnist_raycluster_sdk_oauth_test.py @@ -44,11 +44,11 @@ def run_mnist_raycluster_sdk_oauth(self): num_workers=1, head_cpus="500m", head_memory=2, - min_cpus="500m", - max_cpus=1, - min_memory=1, - max_memory=2, - num_gpus=0, + worker_cpu_requests="500m", + worker_cpu_limits=1, + worker_memory_requests=1, + worker_memory_limits=2, + num_worker_gpus=0, image=ray_image, write_to_file=True, verify_tls=False, diff --git a/tests/e2e/start_ray_cluster.py b/tests/e2e/start_ray_cluster.py index 957d0c25..4fd7fb3f 100644 --- a/tests/e2e/start_ray_cluster.py +++ b/tests/e2e/start_ray_cluster.py @@ -15,11 +15,11 @@ num_workers=1, head_cpus="500m", head_memory=2, - min_cpus="500m", - max_cpus=1, - min_memory=1, - max_memory=2, - num_gpus=0, + worker_cpu_requests="500m", + worker_cpu_limits=1, + worker_memory_requests=1, + worker_memory_limits=2, + num_worker_gpus=0, image=ray_image, appwrapper=True, ) diff --git a/tests/unit_test.py b/tests/unit_test.py index e8fa61c3..8cc679a5 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -258,9 +258,9 @@ def test_config_creation(): assert config.name == "unit-test-cluster" and config.namespace == "ns" assert config.num_workers == 2 - assert config.min_cpus == 3 and config.max_cpus == 4 - assert config.min_memory == "5G" and config.max_memory == "6G" - assert config.num_gpus == 7 + assert config.worker_cpu_requests == 3 and config.worker_cpu_limits == 4 + assert config.worker_memory_requests == "5G" and config.worker_memory_limits == "6G" + assert config.num_worker_gpus == 7 assert config.image == "quay.io/rhoai/ray:2.23.0-py39-cu121" assert config.template == f"{parent}/src/codeflare_sdk/templates/base-template.yaml" assert config.machine_types == ["cpu.small", "gpu.large"] @@ -393,11 +393,11 @@ def test_cluster_creation_no_mcad_local_queue(mocker): name="unit-test-cluster-ray", namespace="ns", num_workers=2, - min_cpus=3, - max_cpus=4, - min_memory=5, - max_memory=6, - num_gpus=7, + worker_cpu_requests=3, + worker_cpu_limits=4, + worker_memory_requests=5, + worker_memory_limits=6, + num_worker_gpus=7, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], image="quay.io/rhoai/ray:2.23.0-py39-cu121", @@ -1985,9 +1985,15 @@ def custom_side_effect(group, version, namespace, plural, **kwargs): "m4.xlarge" in cluster_config.machine_types and "g4dn.xlarge" in cluster_config.machine_types ) - assert cluster_config.min_cpus == 1 and cluster_config.max_cpus == 1 - assert cluster_config.min_memory == "2G" and cluster_config.max_memory == "2G" - assert cluster_config.num_gpus == 0 + assert ( + cluster_config.worker_cpu_requests == 1 + and cluster_config.worker_cpu_limits == 1 + ) + assert ( + cluster_config.worker_memory_requests == "2G" + and cluster_config.worker_memory_limits == "2G" + ) + assert cluster_config.num_worker_gpus == 0 assert ( cluster_config.image == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103" @@ -2021,9 +2027,15 @@ def test_get_cluster(mocker): "m4.xlarge" in cluster_config.machine_types and "g4dn.xlarge" in cluster_config.machine_types ) - assert cluster_config.min_cpus == 1 and cluster_config.max_cpus == 1 - assert cluster_config.min_memory == "2G" and cluster_config.max_memory == "2G" - assert cluster_config.num_gpus == 0 + assert ( + cluster_config.worker_cpu_requests == 1 + and cluster_config.worker_cpu_limits == 1 + ) + assert ( + cluster_config.worker_memory_requests == "2G" + and cluster_config.worker_memory_limits == "2G" + ) + assert cluster_config.num_worker_gpus == 0 assert ( cluster_config.image == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103" @@ -2053,9 +2065,15 @@ def test_get_cluster_no_mcad(mocker): "m4.xlarge" in cluster_config.machine_types and "g4dn.xlarge" in cluster_config.machine_types ) - assert cluster_config.min_cpus == 1 and cluster_config.max_cpus == 1 - assert cluster_config.min_memory == "2G" and cluster_config.max_memory == "2G" - assert cluster_config.num_gpus == 0 + assert ( + cluster_config.worker_cpu_requests == 1 + and cluster_config.worker_cpu_limits == 1 + ) + assert ( + cluster_config.worker_memory_requests == "2G" + and cluster_config.worker_memory_limits == "2G" + ) + assert cluster_config.num_worker_gpus == 0 assert ( cluster_config.image == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103" diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index 9e7a60b6..51c47aa6 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -9,11 +9,11 @@ def createClusterConfig(): name="unit-test-cluster", namespace="ns", num_workers=2, - min_cpus=3, - max_cpus=4, - min_memory=5, - max_memory=6, - num_gpus=7, + worker_cpu_requests=3, + worker_cpu_limits=4, + worker_memory_requests=5, + worker_memory_limits=6, + num_worker_gpus=7, appwrapper=True, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index 235383f6..98204811 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -50,11 +50,11 @@ def run_mnist_raycluster_sdk_oauth(self): num_workers=1, head_cpus=1, head_memory=2, - min_cpus=1, - max_cpus=1, - min_memory=1, - max_memory=2, - num_gpus=0, + worker_cpu_requests=1, + worker_cpu_limits=1, + worker_memory_requests=1, + worker_memory_limits=2, + num_worker_gpus=0, image=ray_image, write_to_file=True, verify_tls=False, From cc9286f6dc50d8b24e511f0c8da50586f2347368 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 2 Jul 2024 09:24:41 +0000 Subject: [PATCH 039/254] Updated coverage.svg --- coverage.svg | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/coverage.svg b/coverage.svg index a8c7e72a..607d3de4 100644 --- a/coverage.svg +++ b/coverage.svg @@ -15,7 +15,7 @@ coverage coverage - 92% - 92% + 91% + 91% From e30d450fca014021abc04c81d0406c72ec146a6b Mon Sep 17 00:00:00 2001 From: Anish Asthana Date: Tue, 2 Jul 2024 10:59:20 -0400 Subject: [PATCH 040/254] Remove Anish from owners Signed-off-by: Anish Asthana --- OWNERS | 1 - 1 file changed, 1 deletion(-) diff --git a/OWNERS b/OWNERS index c7dd78c3..02abe61c 100644 --- a/OWNERS +++ b/OWNERS @@ -9,7 +9,6 @@ approvers: - MichaelClifford - varshaprasad96 reviewers: - - anishasthana - astefanutti - Bobbins228 - ChristianZaccaria From 21eea8093861374ae8f9cd46072f658985d11a84 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Tue, 2 Jul 2024 15:44:51 +0100 Subject: [PATCH 041/254] Made local_queue parameter optional --- src/codeflare_sdk/utils/generate_yaml.py | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index 18370564..3e692480 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -30,6 +30,7 @@ from os import urandom from base64 import b64encode from urllib3.util import parse_url +from kubernetes.client.exceptions import ApiException def read_template(template): @@ -191,8 +192,11 @@ def get_default_kueue_name(namespace: str): namespace=namespace, plural="localqueues", ) - except Exception as e: # pragma: no cover - return _kube_api_error_handling(e) + except ApiException as e: # pragma: no cover + if e.status == 404 or e.status == 403: + return + else: + return _kube_api_error_handling(e) for lq in local_queues["items"]: if ( "annotations" in lq["metadata"] @@ -201,9 +205,6 @@ def get_default_kueue_name(namespace: str): == "true" ): return lq["metadata"]["name"] - raise ValueError( - "Default Local Queue with kueue.x-k8s.io/default-queue: true annotation not found please create a default Local Queue or provide the local_queue name in Cluster Configuration" - ) def local_queue_exists(namespace: str, local_queue_name: str): @@ -228,7 +229,9 @@ def local_queue_exists(namespace: str, local_queue_name: str): def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]): lq_name = local_queue or get_default_kueue_name(namespace) - if not local_queue_exists(namespace, lq_name): + if lq_name == None: + return + elif not local_queue_exists(namespace, lq_name): raise ValueError( "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" ) From 1ab542101b986ab3d905605dbccb4eaeefc8fcd9 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Tue, 2 Jul 2024 15:48:18 +0100 Subject: [PATCH 042/254] Added unit test for unmanaged Ray Cluster --- tests/test-case-no-kueue-no-aw.yaml | 153 ++++++++++++++++++++++++++++ tests/unit_test.py | 23 +++++ 2 files changed, 176 insertions(+) create mode 100644 tests/test-case-no-kueue-no-aw.yaml diff --git a/tests/test-case-no-kueue-no-aw.yaml b/tests/test-case-no-kueue-no-aw.yaml new file mode 100644 index 00000000..dfca7951 --- /dev/null +++ b/tests/test-case-no-kueue-no-aw.yaml @@ -0,0 +1,153 @@ +apiVersion: ray.io/v1 +kind: RayCluster +metadata: + annotations: + app.kubernetes.io/managed-by: test-prefix + labels: + controller-tools.k8s.io: '1.0' + name: unit-test-no-kueue + namespace: ns +spec: + autoscalerOptions: + idleTimeoutSeconds: 60 + imagePullPolicy: Always + resources: + limits: + cpu: 500m + memory: 512Mi + requests: + cpu: 500m + memory: 512Mi + upscalingMode: Default + enableInTreeAutoscaling: false + headGroupSpec: + enableIngress: false + rayStartParams: + block: 'true' + dashboard-host: 0.0.0.0 + num-gpus: '0' + serviceType: ClusterIP + template: + spec: + containers: + - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + imagePullPolicy: Always + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: ray-head + ports: + - containerPort: 6379 + name: gcs + - containerPort: 8265 + name: dashboard + - containerPort: 10001 + name: client + resources: + limits: + cpu: 2 + memory: 8G + nvidia.com/gpu: 0 + requests: + cpu: 2 + memory: 8G + nvidia.com/gpu: 0 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + imagePullSecrets: + - name: unit-test-pull-secret + volumes: + - configMap: + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-trusted-ca-cert + - configMap: + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-ca-cert + rayVersion: 2.23.0 + workerGroupSpecs: + - groupName: small-group-unit-test-no-kueue + maxReplicas: 2 + minReplicas: 2 + rayStartParams: + block: 'true' + num-gpus: '7' + replicas: 2 + template: + metadata: + annotations: + key: value + labels: + key: value + spec: + containers: + - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: machine-learning + resources: + limits: + cpu: 4 + memory: 6G + nvidia.com/gpu: 7 + requests: + cpu: 3 + memory: 5G + nvidia.com/gpu: 7 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + imagePullSecrets: + - name: unit-test-pull-secret + volumes: + - configMap: + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-trusted-ca-cert + - configMap: + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-ca-cert diff --git a/tests/unit_test.py b/tests/unit_test.py index 8cc679a5..ca6cb958 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -285,6 +285,28 @@ def test_cluster_creation(mocker): ) +def test_cluster_no_kueue_no_aw(mocker): + mocker.patch("kubernetes.client.ApisApi.get_api_versions") + mocker.patch( + "kubernetes.client.CustomObjectsApi.get_cluster_custom_object", + return_value={"spec": {"domain": "apps.cluster.awsroute.org"}}, + ) + mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object") + mocker.patch("os.environ.get", return_value="test-prefix") + config = createClusterConfig() + config.appwrapper = False + config.name = "unit-test-no-kueue" + config.write_to_file = True + cluster = Cluster(config) + assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-no-kueue.yaml" + assert cluster.config.local_queue == None + assert filecmp.cmp( + f"{aw_dir}unit-test-no-kueue.yaml", + f"{parent}/tests/test-case-no-kueue-no-aw.yaml", + shallow=True, + ) + + def test_create_app_wrapper_raises_error_with_no_image(): config = createClusterConfig() config.image = "" # Clear the image to test error handling @@ -2799,6 +2821,7 @@ def test_rjc_list_jobs(ray_job_client, mocker): # Make sure to always keep this function last def test_cleanup(): + os.remove(f"{aw_dir}unit-test-no-kueue.yaml") os.remove(f"{aw_dir}unit-test-cluster.yaml") os.remove(f"{aw_dir}test.yaml") os.remove(f"{aw_dir}raytest2.yaml") From 2a85469215be4a62ac6b6546eabfc4d6d72bf03d Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Mon, 8 Jul 2024 10:27:54 +0100 Subject: [PATCH 043/254] Updated image parameter to be optional --- src/codeflare_sdk/cluster/cluster.py | 13 ------------- src/codeflare_sdk/utils/generate_yaml.py | 5 +++-- tests/unit_test.py | 13 ------------- 3 files changed, 3 insertions(+), 28 deletions(-) diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index b823cfd5..78bc666c 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -103,16 +103,6 @@ def job_client(self): ) return self._job_submission_client - def validate_image_config(self): - """ - Validates that the image configuration is not empty. - - :param image: The image string to validate - :raises ValueError: If the image is not specified - """ - if self.config.image == "" or self.config.image == None: - raise ValueError("Image must be specified in the ClusterConfiguration") - def create_app_wrapper(self): """ Called upon cluster object creation, creates an AppWrapper yaml based on @@ -128,9 +118,6 @@ def create_app_wrapper(self): f"Namespace {self.config.namespace} is of type {type(self.config.namespace)}. Check your Kubernetes Authentication." ) - # Validate image configuration - self.validate_image_config() - # Before attempting to create the cluster AW, let's evaluate the ClusterConfig name = self.config.name diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index 3e692480..cde49ed3 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -86,8 +86,9 @@ def update_names(cluster_yaml, cluster_name, namespace): def update_image(spec, image): containers = spec.get("containers") - for container in containers: - container["image"] = image + if image != "": + for container in containers: + container["image"] = image def update_image_pull_secrets(spec, image_pull_secrets): diff --git a/tests/unit_test.py b/tests/unit_test.py index ca6cb958..3daba3a1 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -307,19 +307,6 @@ def test_cluster_no_kueue_no_aw(mocker): ) -def test_create_app_wrapper_raises_error_with_no_image(): - config = createClusterConfig() - config.image = "" # Clear the image to test error handling - try: - cluster = Cluster(config) - cluster.create_app_wrapper() - assert False, "Expected ValueError when 'image' is not specified." - except ValueError as error: - assert ( - str(error) == "Image must be specified in the ClusterConfiguration" - ), "Error message did not match expected output." - - def get_local_queue(group, version, namespace, plural): assert group == "kueue.x-k8s.io" assert version == "v1beta1" From 5ce0b2c9b738444a76bb10319125f9c0318ab37a Mon Sep 17 00:00:00 2001 From: Kevin Date: Thu, 9 May 2024 16:38:25 -0400 Subject: [PATCH 044/254] simplify function calls and add option for custom resources Signed-off-by: Kevin --- src/codeflare_sdk/cluster/cluster.py | 96 ++++----- src/codeflare_sdk/cluster/config.py | 109 +++++++++-- src/codeflare_sdk/cluster/model.py | 7 +- .../templates/base-template.yaml | 4 - src/codeflare_sdk/utils/generate_yaml.py | 182 ++++++++++-------- src/codeflare_sdk/utils/pretty_print.py | 2 +- tests/e2e/local_interactive_sdk_kind_test.py | 1 - tests/e2e/local_interactive_sdk_oauth_test.py | 1 - tests/e2e/mnist_raycluster_sdk_kind_test.py | 1 - tests/e2e/mnist_raycluster_sdk_oauth_test.py | 1 - tests/e2e/start_ray_cluster.py | 1 - tests/test-case-bad.yaml | 4 +- tests/test-case-no-kueue-no-aw.yaml | 4 +- tests/test-case-no-mcad.yamls | 4 +- tests/test-case.yaml | 4 +- tests/test-default-appwrapper.yaml | 10 +- tests/unit_test.py | 60 +++--- tests/unit_test_support.py | 2 +- tests/upgrade/raycluster_sdk_upgrade_test.py | 1 - 19 files changed, 289 insertions(+), 205 deletions(-) diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index 78bc666c..f0f50eb3 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -29,6 +29,7 @@ from ..utils import pretty_print from ..utils.generate_yaml import ( generate_appwrapper, + head_worker_gpu_count_from_cluster, ) from ..utils.kube_api_helpers import _kube_api_error_handling from ..utils.generate_yaml import is_openshift_cluster @@ -118,48 +119,7 @@ def create_app_wrapper(self): f"Namespace {self.config.namespace} is of type {type(self.config.namespace)}. Check your Kubernetes Authentication." ) - # Before attempting to create the cluster AW, let's evaluate the ClusterConfig - - name = self.config.name - namespace = self.config.namespace - head_cpus = self.config.head_cpus - head_memory = self.config.head_memory - num_head_gpus = self.config.num_head_gpus - worker_cpu_requests = self.config.worker_cpu_requests - worker_cpu_limits = self.config.worker_cpu_limits - worker_memory_requests = self.config.worker_memory_requests - worker_memory_limits = self.config.worker_memory_limits - num_worker_gpus = self.config.num_worker_gpus - workers = self.config.num_workers - template = self.config.template - image = self.config.image - appwrapper = self.config.appwrapper - env = self.config.envs - image_pull_secrets = self.config.image_pull_secrets - write_to_file = self.config.write_to_file - local_queue = self.config.local_queue - labels = self.config.labels - return generate_appwrapper( - name=name, - namespace=namespace, - head_cpus=head_cpus, - head_memory=head_memory, - num_head_gpus=num_head_gpus, - worker_cpu_requests=worker_cpu_requests, - worker_cpu_limits=worker_cpu_limits, - worker_memory_requests=worker_memory_requests, - worker_memory_limits=worker_memory_limits, - num_worker_gpus=num_worker_gpus, - workers=workers, - template=template, - image=image, - appwrapper=appwrapper, - env=env, - image_pull_secrets=image_pull_secrets, - write_to_file=write_to_file, - local_queue=local_queue, - labels=labels, - ) + return generate_appwrapper(self) # creates a new cluster with the provided or default spec def up(self): @@ -305,7 +265,7 @@ def status( if print_to_console: # overriding the number of gpus with requested - cluster.worker_gpu = self.config.num_worker_gpus + _, cluster.worker_gpu = head_worker_gpu_count_from_cluster(self) pretty_print.print_cluster_status(cluster) elif print_to_console: if status == CodeFlareClusterStatus.UNKNOWN: @@ -443,6 +403,29 @@ def job_logs(self, job_id: str) -> str: """ return self.job_client.get_job_logs(job_id) + @staticmethod + def _head_worker_extended_resources_from_rc_dict(rc: Dict) -> Tuple[dict, dict]: + head_extended_resources, worker_extended_resources = {}, {} + for resource in rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"].keys(): + if resource in ["memory", "cpu"]: + continue + worker_extended_resources[resource] = rc["spec"]["workerGroupSpecs"][0][ + "template" + ]["spec"]["containers"][0]["resources"]["limits"][resource] + + for resource in rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["limits"].keys(): + if resource in ["memory", "cpu"]: + continue + head_extended_resources[resource] = rc["spec"]["headGroupSpec"]["template"][ + "spec" + ]["containers"][0]["resources"]["limits"][resource] + + return head_extended_resources, worker_extended_resources + def from_k8_cluster_object( rc, appwrapper=True, @@ -456,6 +439,11 @@ def from_k8_cluster_object( else [] ) + ( + head_extended_resources, + worker_extended_resources, + ) = Cluster._head_worker_extended_resources_from_rc_dict(rc) + cluster_config = ClusterConfiguration( name=rc["metadata"]["name"], namespace=rc["metadata"]["namespace"], @@ -473,11 +461,8 @@ def from_k8_cluster_object( worker_memory_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["memory"], - num_worker_gpus=int( - rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][0][ - "resources" - ]["limits"]["nvidia.com/gpu"] - ), + worker_extended_resource_requests=worker_extended_resources, + head_extended_resource_requests=head_extended_resources, image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ 0 ]["image"], @@ -858,6 +843,11 @@ def _map_to_ray_cluster(rc) -> Optional[RayCluster]: protocol = "https" dashboard_url = f"{protocol}://{ingress.spec.rules[0].host}" + ( + head_extended_resources, + worker_extended_resources, + ) = Cluster._head_worker_extended_resources_from_rc_dict(rc) + return RayCluster( name=rc["metadata"]["name"], status=status, @@ -872,7 +862,7 @@ def _map_to_ray_cluster(rc) -> Optional[RayCluster]: worker_cpu=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ 0 ]["resources"]["limits"]["cpu"], - worker_gpu=0, # hard to detect currently how many gpus, can override it with what the user asked for + worker_extended_resources=worker_extended_resources, namespace=rc["metadata"]["namespace"], head_cpus=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][0][ "resources" @@ -880,9 +870,7 @@ def _map_to_ray_cluster(rc) -> Optional[RayCluster]: head_mem=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][0][ "resources" ]["limits"]["memory"], - head_gpu=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][0][ - "resources" - ]["limits"]["nvidia.com/gpu"], + head_extended_resources=head_extended_resources, dashboard=dashboard_url, ) @@ -907,12 +895,12 @@ def _copy_to_ray(cluster: Cluster) -> RayCluster: worker_mem_min=cluster.config.worker_memory_requests, worker_mem_max=cluster.config.worker_memory_limits, worker_cpu=cluster.config.worker_cpu_requests, - worker_gpu=cluster.config.num_worker_gpus, + worker_extended_resources=cluster.config.worker_extended_resource_requests, namespace=cluster.config.namespace, dashboard=cluster.cluster_dashboard_uri(), head_cpus=cluster.config.head_cpus, head_mem=cluster.config.head_memory, - head_gpu=cluster.config.num_head_gpus, + head_extended_resources=cluster.config.head_extended_resource_requests, ) if ray.status == CodeFlareClusterStatus.READY: ray.status = RayClusterStatus.READY diff --git a/src/codeflare_sdk/cluster/config.py b/src/codeflare_sdk/cluster/config.py index cb8e3d3d..6a522fbc 100644 --- a/src/codeflare_sdk/cluster/config.py +++ b/src/codeflare_sdk/cluster/config.py @@ -25,12 +25,51 @@ dir = pathlib.Path(__file__).parent.parent.resolve() +# https://docs.ray.io/en/latest/ray-core/scheduling/accelerators.html +DEFAULT_RESOURCE_MAPPING = { + "nvidia.com/gpu": "GPU", + "intel.com/gpu": "GPU", + "amd.com/gpu": "GPU", + "aws.amazon.com/neuroncore": "neuron_cores", + "google.com/tpu": "TPU", + "habana.ai/gaudi": "HPU", + "huawei.com/Ascend910": "NPU", + "huawei.com/Ascend310": "NPU", +} + @dataclass class ClusterConfiguration: """ This dataclass is used to specify resource requirements and other details, and is passed in as an argument when creating a Cluster object. + + Attributes: + - name: The name of the cluster. + - namespace: The namespace in which the cluster should be created. + - head_info: A list of strings containing information about the head node. + - head_cpus: The number of CPUs to allocate to the head node. + - head_memory: The amount of memory to allocate to the head node. + - head_gpus: The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests) + - head_extended_resource_requests: A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1} + - machine_types: A list of machine types to use for the cluster. + - min_cpus: The minimum number of CPUs to allocate to each worker. + - max_cpus: The maximum number of CPUs to allocate to each worker. + - num_workers: The number of workers to create. + - min_memory: The minimum amount of memory to allocate to each worker. + - max_memory: The maximum amount of memory to allocate to each worker. + - num_gpus: The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests) + - template: The path to the template file to use for the cluster. + - appwrapper: A boolean indicating whether to use an AppWrapper. + - envs: A dictionary of environment variables to set for the cluster. + - image: The image to use for the cluster. + - image_pull_secrets: A list of image pull secrets to use for the cluster. + - write_to_file: A boolean indicating whether to write the cluster configuration to a file. + - verify_tls: A boolean indicating whether to verify TLS when connecting to the cluster. + - labels: A dictionary of labels to apply to the cluster. + - worker_extended_resource_requests: A dictionary of extended resource requests for each worker. ex: {"nvidia.com/gpu": 1} + - extended_resource_mapping: A dictionary of custom resource mappings to map extended resource requests to RayCluster resource names + - overwrite_default_resource_mapping: A boolean indicating whether to overwrite the default resource mapping. """ name: str @@ -39,7 +78,7 @@ class ClusterConfiguration: head_cpus: typing.Union[int, str] = 2 head_memory: typing.Union[int, str] = 8 head_gpus: int = None # Deprecating - num_head_gpus: int = 0 + head_extended_resource_requests: typing.Dict[str, int] = field(default_factory=dict) machine_types: list = field(default_factory=list) # ["m4.xlarge", "g4dn.xlarge"] worker_cpu_requests: typing.Union[int, str] = 1 worker_cpu_limits: typing.Union[int, str] = 1 @@ -50,7 +89,6 @@ class ClusterConfiguration: worker_memory_limits: typing.Union[int, str] = 2 min_memory: typing.Union[int, str] = None # Deprecating max_memory: typing.Union[int, str] = None # Deprecating - num_worker_gpus: int = 0 num_gpus: int = None # Deprecating template: str = f"{dir}/templates/base-template.yaml" appwrapper: bool = False @@ -60,6 +98,11 @@ class ClusterConfiguration: write_to_file: bool = False verify_tls: bool = True labels: dict = field(default_factory=dict) + worker_extended_resource_requests: typing.Dict[str, int] = field( + default_factory=dict + ) + extended_resource_mapping: typing.Dict[str, str] = field(default_factory=dict) + overwrite_default_resource_mapping: bool = False def __post_init__(self): if not self.verify_tls: @@ -70,8 +113,60 @@ def __post_init__(self): self._memory_to_string() self._str_mem_no_unit_add_GB() self._memory_to_resource() - self._gpu_to_resource() self._cpu_to_resource() + self._gpu_to_resource() + self._combine_extended_resource_mapping() + self._validate_extended_resource_requests(self.head_extended_resource_requests) + self._validate_extended_resource_requests( + self.worker_extended_resource_requests + ) + + def _combine_extended_resource_mapping(self): + if overwritten := set(self.extended_resource_mapping.keys()).intersection( + DEFAULT_RESOURCE_MAPPING.keys() + ): + if self.overwrite_default_resource_mapping: + warnings.warn( + f"Overwriting default resource mapping for {overwritten}", + UserWarning, + ) + else: + raise ValueError( + f"Resource mapping already exists for {overwritten}, set overwrite_default_resource_mapping to True to overwrite" + ) + self.extended_resource_mapping = { + **DEFAULT_RESOURCE_MAPPING, + **self.extended_resource_mapping, + } + + def _validate_extended_resource_requests( + self, extended_resources: typing.Dict[str, int] + ): + for k in extended_resources.keys(): + if k not in self.extended_resource_mapping.keys(): + raise ValueError( + f"extended resource '{k}' not found in extended_resource_mapping, available resources are {list(self.extended_resource_mapping.keys())}, to add more supported resources use extended_resource_mapping. i.e. extended_resource_mapping = {{'{k}': 'FOO_BAR'}}" + ) + + def _gpu_to_resource(self): + if self.head_gpus: + warnings.warn( + f"head_gpus is being deprecated, replacing with head_extended_resource_requests['nvidia.com/gpu'] = {self.head_gpus}" + ) + if "nvidia.com/gpu" in self.head_extended_resource_requests: + raise ValueError( + "nvidia.com/gpu already exists in head_extended_resource_requests" + ) + self.head_extended_resource_requests["nvidia.com/gpu"] = self.head_gpus + if self.num_gpus: + warnings.warn( + f"num_gpus is being deprecated, replacing with worker_extended_resource_requests['nvidia.com/gpu'] = {self.num_gpus}" + ) + if "nvidia.com/gpu" in self.worker_extended_resource_requests: + raise ValueError( + "nvidia.com/gpu already exists in worker_extended_resource_requests" + ) + self.worker_extended_resource_requests["nvidia.com/gpu"] = self.num_gpus def _str_mem_no_unit_add_GB(self): if isinstance(self.head_memory, str) and self.head_memory.isdecimal(): @@ -95,14 +190,6 @@ def _memory_to_string(self): if isinstance(self.worker_memory_limits, int): self.worker_memory_limits = f"{self.worker_memory_limits}G" - def _gpu_to_resource(self): - if self.head_gpus: - warnings.warn("head_gpus is being deprecated, use num_head_gpus") - self.num_head_gpus = self.head_gpus - if self.num_gpus: - warnings.warn("num_gpus is being deprecated, use num_worker_gpus") - self.num_worker_gpus = self.num_gpus - def _cpu_to_resource(self): if self.min_cpus: warnings.warn("min_cpus is being deprecated, use worker_cpu_requests") diff --git a/src/codeflare_sdk/cluster/model.py b/src/codeflare_sdk/cluster/model.py index 2547de25..5d6e2ed2 100644 --- a/src/codeflare_sdk/cluster/model.py +++ b/src/codeflare_sdk/cluster/model.py @@ -18,8 +18,9 @@ dataclasses to store information for Ray clusters and AppWrappers. """ -from dataclasses import dataclass +from dataclasses import dataclass, field from enum import Enum +import typing class RayClusterStatus(Enum): @@ -74,14 +75,14 @@ class RayCluster: status: RayClusterStatus head_cpus: int head_mem: str - head_gpu: int workers: int worker_mem_min: str worker_mem_max: str worker_cpu: int - worker_gpu: int namespace: str dashboard: str + worker_extended_resources: typing.Dict[str, int] = field(default_factory=dict) + head_extended_resources: typing.Dict[str, int] = field(default_factory=dict) @dataclass diff --git a/src/codeflare_sdk/templates/base-template.yaml b/src/codeflare_sdk/templates/base-template.yaml index 7b36146a..076bd262 100644 --- a/src/codeflare_sdk/templates/base-template.yaml +++ b/src/codeflare_sdk/templates/base-template.yaml @@ -86,11 +86,9 @@ spec: limits: cpu: 2 memory: "8G" - nvidia.com/gpu: 0 requests: cpu: 2 memory: "8G" - nvidia.com/gpu: 0 volumeMounts: - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert @@ -163,11 +161,9 @@ spec: limits: cpu: "2" memory: "12G" - nvidia.com/gpu: "1" requests: cpu: "2" memory: "12G" - nvidia.com/gpu: "1" volumeMounts: - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index cde49ed3..1644dc15 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -17,6 +17,7 @@ (in the cluster sub-module) for AppWrapper generation. """ +import json from typing import Optional import typing import yaml @@ -31,6 +32,7 @@ from base64 import b64encode from urllib3.util import parse_url from kubernetes.client.exceptions import ApiException +import codeflare_sdk def read_template(template): @@ -78,10 +80,13 @@ def is_kind_cluster(): return False -def update_names(cluster_yaml, cluster_name, namespace): - meta = cluster_yaml.get("metadata") - meta["name"] = cluster_name - meta["namespace"] = namespace +def update_names( + cluster_yaml: dict, + cluster: "codeflare_sdk.cluster.Cluster", +): + metadata = cluster_yaml.get("metadata") + metadata["name"] = cluster.config.name + metadata["namespace"] = cluster.config.namespace def update_image(spec, image): @@ -114,7 +119,7 @@ def update_resources( worker_cpu_limits, worker_memory_requests, worker_memory_limits, - num_worker_gpus, + custom_resources, ): container = spec.get("containers") for resource in container: @@ -122,59 +127,103 @@ def update_resources( if requests is not None: requests["cpu"] = worker_cpu_requests requests["memory"] = worker_memory_requests - requests["nvidia.com/gpu"] = num_worker_gpus limits = resource.get("resources").get("limits") if limits is not None: limits["cpu"] = worker_cpu_limits limits["memory"] = worker_memory_limits - limits["nvidia.com/gpu"] = num_worker_gpus + for k in custom_resources.keys(): + limits[k] = custom_resources[k] + requests[k] = custom_resources[k] + + +def head_worker_gpu_count_from_cluster( + cluster: "codeflare_sdk.cluster.Cluster", +) -> typing.Tuple[int, int]: + head_gpus = 0 + worker_gpus = 0 + for k in cluster.config.head_extended_resource_requests.keys(): + resource_type = cluster.config.extended_resource_mapping[k] + if resource_type == "GPU": + head_gpus += int(cluster.config.head_extended_resource_requests[k]) + for k in cluster.config.worker_extended_resource_requests.keys(): + resource_type = cluster.config.extended_resource_mapping[k] + if resource_type == "GPU": + worker_gpus += int(cluster.config.worker_extended_resource_requests[k]) + + return head_gpus, worker_gpus + + +FORBIDDEN_CUSTOM_RESOURCE_TYPES = ["GPU", "CPU", "memory"] + + +def head_worker_resources_from_cluster( + cluster: "codeflare_sdk.cluster.Cluster", +) -> typing.Tuple[dict, dict]: + to_return = {}, {} + for k in cluster.config.head_extended_resource_requests.keys(): + resource_type = cluster.config.extended_resource_mapping[k] + if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES: + continue + to_return[0][resource_type] = cluster.config.head_extended_resource_requests[ + k + ] + to_return[0].get(resource_type, 0) + + for k in cluster.config.worker_extended_resource_requests.keys(): + resource_type = cluster.config.extended_resource_mapping[k] + if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES: + continue + to_return[1][resource_type] = cluster.config.worker_extended_resource_requests[ + k + ] + to_return[1].get(resource_type, 0) + return to_return def update_nodes( - cluster_yaml, - appwrapper_name, - worker_cpu_requests, - worker_cpu_limits, - worker_memory_requests, - worker_memory_limits, - num_worker_gpus, - workers, - image, - env, - image_pull_secrets, - head_cpus, - head_memory, - num_head_gpus, + ray_cluster_dict: dict, + cluster: "codeflare_sdk.cluster.Cluster", ): - head = cluster_yaml.get("spec").get("headGroupSpec") - head["rayStartParams"]["num-gpus"] = str(int(num_head_gpus)) + head = ray_cluster_dict.get("spec").get("headGroupSpec") + worker = ray_cluster_dict.get("spec").get("workerGroupSpecs")[0] + head_gpus, worker_gpus = head_worker_gpu_count_from_cluster(cluster) + head_resources, worker_resources = head_worker_resources_from_cluster(cluster) + head_resources = json.dumps(head_resources).replace('"', '\\"') + head_resources = f'"{head_resources}"' + worker_resources = json.dumps(worker_resources).replace('"', '\\"') + worker_resources = f'"{worker_resources}"' + head["rayStartParams"]["num-gpus"] = str(head_gpus) + head["rayStartParams"]["resources"] = head_resources - worker = cluster_yaml.get("spec").get("workerGroupSpecs")[0] # Head counts as first worker - worker["replicas"] = workers - worker["minReplicas"] = workers - worker["maxReplicas"] = workers - worker["groupName"] = "small-group-" + appwrapper_name - worker["rayStartParams"]["num-gpus"] = str(int(num_worker_gpus)) + worker["replicas"] = cluster.config.num_workers + worker["minReplicas"] = cluster.config.num_workers + worker["maxReplicas"] = cluster.config.num_workers + worker["groupName"] = "small-group-" + cluster.config.name + worker["rayStartParams"]["num-gpus"] = str(worker_gpus) + worker["rayStartParams"]["resources"] = worker_resources for comp in [head, worker]: spec = comp.get("template").get("spec") - update_image_pull_secrets(spec, image_pull_secrets) - update_image(spec, image) - update_env(spec, env) + update_image_pull_secrets(spec, cluster.config.image_pull_secrets) + update_image(spec, cluster.config.image) + update_env(spec, cluster.config.envs) if comp == head: # TODO: Eventually add head node configuration outside of template update_resources( - spec, head_cpus, head_cpus, head_memory, head_memory, num_head_gpus + spec, + cluster.config.head_cpus, + cluster.config.head_cpus, + cluster.config.head_memory, + cluster.config.head_memory, + cluster.config.head_extended_resource_requests, ) else: update_resources( spec, - worker_cpu_requests, - worker_cpu_limits, - worker_memory_requests, - worker_memory_limits, - num_worker_gpus, + cluster.config.worker_cpu_requests, + cluster.config.worker_cpu_limits, + cluster.config.worker_memory_requests, + cluster.config.worker_memory_limits, + cluster.config.worker_extended_resource_requests, ) @@ -278,63 +327,30 @@ def write_user_yaml(user_yaml, output_file_name): print(f"Written to: {output_file_name}") -def generate_appwrapper( - name: str, - namespace: str, - head_cpus: int, - head_memory: int, - num_head_gpus: int, - worker_cpu_requests: int, - worker_cpu_limits: int, - worker_memory_requests: int, - worker_memory_limits: int, - num_worker_gpus: int, - workers: int, - template: str, - image: str, - appwrapper: bool, - env, - image_pull_secrets: list, - write_to_file: bool, - local_queue: Optional[str], - labels, -): - cluster_yaml = read_template(template) - appwrapper_name, cluster_name = gen_names(name) - update_names(cluster_yaml, cluster_name, namespace) - update_nodes( +def generate_appwrapper(cluster: "codeflare_sdk.cluster.Cluster"): + cluster_yaml = read_template(cluster.config.template) + appwrapper_name, _ = gen_names(cluster.config.name) + update_names( cluster_yaml, - appwrapper_name, - worker_cpu_requests, - worker_cpu_limits, - worker_memory_requests, - worker_memory_limits, - num_worker_gpus, - workers, - image, - env, - image_pull_secrets, - head_cpus, - head_memory, - num_head_gpus, + cluster, ) - augment_labels(cluster_yaml, labels) + update_nodes(cluster_yaml, cluster) + augment_labels(cluster_yaml, cluster.config.labels) notebook_annotations(cluster_yaml) - user_yaml = ( - wrap_cluster(cluster_yaml, appwrapper_name, namespace) - if appwrapper + wrap_cluster(cluster_yaml, appwrapper_name, cluster.config.namespace) + if cluster.config.appwrapper else cluster_yaml ) - add_queue_label(user_yaml, namespace, local_queue) + add_queue_label(user_yaml, cluster.config.namespace, cluster.config.local_queue) - if write_to_file: + if cluster.config.write_to_file: directory_path = os.path.expanduser("~/.codeflare/resources/") outfile = os.path.join(directory_path, appwrapper_name + ".yaml") write_user_yaml(user_yaml, outfile) return outfile else: user_yaml = yaml.dump(user_yaml) - print(f"Yaml resources loaded for {name}") + print(f"Yaml resources loaded for {cluster.config.name}") return user_yaml diff --git a/src/codeflare_sdk/utils/pretty_print.py b/src/codeflare_sdk/utils/pretty_print.py index 42ef8398..9431ffd7 100644 --- a/src/codeflare_sdk/utils/pretty_print.py +++ b/src/codeflare_sdk/utils/pretty_print.py @@ -138,7 +138,7 @@ def print_clusters(clusters: List[RayCluster]): workers = str(cluster.workers) memory = f"{cluster.worker_mem_min}~{cluster.worker_mem_max}" cpu = str(cluster.worker_cpu) - gpu = str(cluster.worker_gpu) + gpu = str(cluster.worker_extended_resources.get("nvidia.com/gpu", 0)) #'table0' to display the cluster name, status, url, and dashboard link table0 = Table(box=None, show_header=False) diff --git a/tests/e2e/local_interactive_sdk_kind_test.py b/tests/e2e/local_interactive_sdk_kind_test.py index 999c72e1..8ca0bdac 100644 --- a/tests/e2e/local_interactive_sdk_kind_test.py +++ b/tests/e2e/local_interactive_sdk_kind_test.py @@ -43,7 +43,6 @@ def run_local_interactives(self): worker_cpu_limits=1, worker_memory_requests=1, worker_memory_limits=2, - num_worker_gpus=0, image=ray_image, write_to_file=True, verify_tls=False, diff --git a/tests/e2e/local_interactive_sdk_oauth_test.py b/tests/e2e/local_interactive_sdk_oauth_test.py index a2d5b612..4177413e 100644 --- a/tests/e2e/local_interactive_sdk_oauth_test.py +++ b/tests/e2e/local_interactive_sdk_oauth_test.py @@ -48,7 +48,6 @@ def run_local_interactives(self): worker_cpu_limits=1, worker_memory_requests=4, worker_memory_limits=4, - num_worker_gpus=0, image=ray_image, verify_tls=False, ) diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py index d8539722..af5fcc1f 100644 --- a/tests/e2e/mnist_raycluster_sdk_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py @@ -41,7 +41,6 @@ def run_mnist_raycluster_sdk_kind(self): worker_cpu_limits=1, worker_memory_requests=1, worker_memory_limits=2, - num_worker_gpus=0, image=ray_image, write_to_file=True, verify_tls=False, diff --git a/tests/e2e/mnist_raycluster_sdk_oauth_test.py b/tests/e2e/mnist_raycluster_sdk_oauth_test.py index ed2f4fb1..4e85e9f1 100644 --- a/tests/e2e/mnist_raycluster_sdk_oauth_test.py +++ b/tests/e2e/mnist_raycluster_sdk_oauth_test.py @@ -48,7 +48,6 @@ def run_mnist_raycluster_sdk_oauth(self): worker_cpu_limits=1, worker_memory_requests=1, worker_memory_limits=2, - num_worker_gpus=0, image=ray_image, write_to_file=True, verify_tls=False, diff --git a/tests/e2e/start_ray_cluster.py b/tests/e2e/start_ray_cluster.py index 4fd7fb3f..b34f0331 100644 --- a/tests/e2e/start_ray_cluster.py +++ b/tests/e2e/start_ray_cluster.py @@ -19,7 +19,6 @@ worker_cpu_limits=1, worker_memory_requests=1, worker_memory_limits=2, - num_worker_gpus=0, image=ray_image, appwrapper=True, ) diff --git a/tests/test-case-bad.yaml b/tests/test-case-bad.yaml index d4d230d4..cb2f4a0a 100644 --- a/tests/test-case-bad.yaml +++ b/tests/test-case-bad.yaml @@ -33,6 +33,7 @@ spec: block: 'true' dashboard-host: 0.0.0.0 num-gpus: '0' + resources: '"{}"' serviceType: ClusterIP template: spec: @@ -63,11 +64,9 @@ spec: limits: cpu: 2 memory: 8G - nvidia.com/gpu: 0 requests: cpu: 2 memory: 8G - nvidia.com/gpu: 0 rayVersion: 2.23.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster @@ -76,6 +75,7 @@ spec: rayStartParams: block: 'true' num-gpus: '7' + resources: '"{}"' replicas: 2 template: metadata: diff --git a/tests/test-case-no-kueue-no-aw.yaml b/tests/test-case-no-kueue-no-aw.yaml index dfca7951..3ea7a22d 100644 --- a/tests/test-case-no-kueue-no-aw.yaml +++ b/tests/test-case-no-kueue-no-aw.yaml @@ -26,6 +26,7 @@ spec: block: 'true' dashboard-host: 0.0.0.0 num-gpus: '0' + resources: '"{}"' serviceType: ClusterIP template: spec: @@ -51,11 +52,9 @@ spec: limits: cpu: 2 memory: 8G - nvidia.com/gpu: 0 requests: cpu: 2 memory: 8G - nvidia.com/gpu: 0 volumeMounts: - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert @@ -94,6 +93,7 @@ spec: rayStartParams: block: 'true' num-gpus: '7' + resources: '"{}"' replicas: 2 template: metadata: diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index 2d0e7e9b..45a3dfb9 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -29,6 +29,7 @@ spec: block: 'true' dashboard-host: 0.0.0.0 num-gpus: '0' + resources: '"{}"' serviceType: ClusterIP template: spec: @@ -54,11 +55,9 @@ spec: limits: cpu: 2 memory: 8G - nvidia.com/gpu: 0 requests: cpu: 2 memory: 8G - nvidia.com/gpu: 0 volumeMounts: - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert @@ -97,6 +96,7 @@ spec: rayStartParams: block: 'true' num-gpus: '7' + resources: '"{}"' replicas: 2 template: metadata: diff --git a/tests/test-case.yaml b/tests/test-case.yaml index 00b241af..461ed7df 100644 --- a/tests/test-case.yaml +++ b/tests/test-case.yaml @@ -34,6 +34,7 @@ spec: block: 'true' dashboard-host: 0.0.0.0 num-gpus: '0' + resources: '"{}"' serviceType: ClusterIP template: spec: @@ -59,11 +60,9 @@ spec: limits: cpu: 2 memory: 8G - nvidia.com/gpu: 0 requests: cpu: 2 memory: 8G - nvidia.com/gpu: 0 volumeMounts: - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert @@ -102,6 +101,7 @@ spec: rayStartParams: block: 'true' num-gpus: '7' + resources: '"{}"' replicas: 2 template: metadata: diff --git a/tests/test-default-appwrapper.yaml b/tests/test-default-appwrapper.yaml index cc44e234..cc27e37a 100644 --- a/tests/test-default-appwrapper.yaml +++ b/tests/test-default-appwrapper.yaml @@ -34,9 +34,11 @@ spec: block: 'true' dashboard-host: 0.0.0.0 num-gpus: '0' + resources: '"{}"' serviceType: ClusterIP template: spec: + imagePullSecrets: [] containers: - image: quay.io/rhoai/ray:2.23.0-py39-cu121 imagePullPolicy: Always @@ -59,11 +61,9 @@ spec: limits: cpu: 2 memory: 8G - nvidia.com/gpu: 0 requests: cpu: 2 memory: 8G - nvidia.com/gpu: 0 volumeMounts: - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert @@ -77,7 +77,6 @@ spec: - mountPath: /etc/ssl/certs/odh-ca-bundle.crt name: odh-ca-cert subPath: odh-ca-bundle.crt - imagePullSecrets: [] volumes: - configMap: items: @@ -101,6 +100,7 @@ spec: rayStartParams: block: 'true' num-gpus: '0' + resources: '"{}"' replicas: 1 template: metadata: @@ -109,6 +109,7 @@ spec: labels: key: value spec: + imagePullSecrets: [] containers: - image: quay.io/rhoai/ray:2.23.0-py39-cu121 lifecycle: @@ -123,11 +124,9 @@ spec: limits: cpu: 1 memory: 2G - nvidia.com/gpu: 0 requests: cpu: 1 memory: 2G - nvidia.com/gpu: 0 volumeMounts: - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt name: odh-trusted-ca-cert @@ -141,7 +140,6 @@ spec: - mountPath: /etc/ssl/certs/odh-ca-bundle.crt name: odh-ca-cert subPath: odh-ca-bundle.crt - imagePullSecrets: [] volumes: - configMap: items: diff --git a/tests/unit_test.py b/tests/unit_test.py index 3daba3a1..2decade2 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -260,7 +260,7 @@ def test_config_creation(): assert config.num_workers == 2 assert config.worker_cpu_requests == 3 and config.worker_cpu_limits == 4 assert config.worker_memory_requests == "5G" and config.worker_memory_limits == "6G" - assert config.num_worker_gpus == 7 + assert config.worker_extended_resource_requests == {"nvidia.com/gpu": 7} assert config.image == "quay.io/rhoai/ray:2.23.0-py39-cu121" assert config.template == f"{parent}/src/codeflare_sdk/templates/base-template.yaml" assert config.machine_types == ["cpu.small", "gpu.large"] @@ -406,7 +406,7 @@ def test_cluster_creation_no_mcad_local_queue(mocker): worker_cpu_limits=4, worker_memory_requests=5, worker_memory_limits=6, - num_worker_gpus=7, + worker_extended_resource_requests={"nvidia.com/gpu": 7}, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], image="quay.io/rhoai/ray:2.23.0-py39-cu121", @@ -883,12 +883,10 @@ def test_ray_details(mocker, capsys): worker_mem_min="2G", worker_mem_max="2G", worker_cpu=1, - worker_gpu=0, namespace="ns", dashboard="fake-uri", head_cpus=2, head_mem=8, - head_gpu=0, ) mocker.patch( "codeflare_sdk.cluster.cluster.Cluster.status", @@ -922,7 +920,7 @@ def test_ray_details(mocker, capsys): assert ray1.worker_mem_min == ray2.worker_mem_min assert ray1.worker_mem_max == ray2.worker_mem_max assert ray1.worker_cpu == ray2.worker_cpu - assert ray1.worker_gpu == ray2.worker_gpu + assert ray1.worker_extended_resources == ray2.worker_extended_resources try: print_clusters([ray1, ray2]) print_cluster_status(ray1) @@ -1129,12 +1127,10 @@ def get_ray_obj(group, version, namespace, plural, cls=None): "limits": { "cpu": 2, "memory": "8G", - "nvidia.com/gpu": 0, }, "requests": { "cpu": 2, "memory": "8G", - "nvidia.com/gpu": 0, }, }, "volumeMounts": [ @@ -1198,7 +1194,10 @@ def get_ray_obj(group, version, namespace, plural, cls=None): "groupName": "small-group-quicktest", "maxReplicas": 1, "minReplicas": 1, - "rayStartParams": {"block": "true", "num-gpus": "0"}, + "rayStartParams": { + "block": "true", + "num-gpus": "0", + }, "replicas": 1, "scaleStrategy": {}, "template": { @@ -1249,12 +1248,10 @@ def get_ray_obj(group, version, namespace, plural, cls=None): "limits": { "cpu": 1, "memory": "2G", - "nvidia.com/gpu": 0, }, "requests": { "cpu": 1, "memory": "2G", - "nvidia.com/gpu": 0, }, }, "volumeMounts": [ @@ -1413,12 +1410,10 @@ def get_ray_obj(group, version, namespace, plural, cls=None): "limits": { "cpu": 2, "memory": "8G", - "nvidia.com/gpu": 0, }, "requests": { "cpu": 2, "memory": "8G", - "nvidia.com/gpu": 0, }, }, } @@ -1432,7 +1427,10 @@ def get_ray_obj(group, version, namespace, plural, cls=None): "groupName": "small-group-quicktest2", "maxReplicas": 1, "minReplicas": 1, - "rayStartParams": {"block": "true", "num-gpus": "0"}, + "rayStartParams": { + "block": "true", + "num-gpus": "0", + }, "replicas": 1, "template": { "metadata": { @@ -1469,12 +1467,10 @@ def get_ray_obj(group, version, namespace, plural, cls=None): "limits": { "cpu": 1, "memory": "2G", - "nvidia.com/gpu": 0, }, "requests": { "cpu": 1, "memory": "2G", - "nvidia.com/gpu": 0, }, }, } @@ -1591,12 +1587,10 @@ def get_aw_obj(group, version, namespace, plural): "limits": { "cpu": 2, "memory": "8G", - "nvidia.com/gpu": 0, }, "requests": { "cpu": 2, "memory": "8G", - "nvidia.com/gpu": 0, }, }, } @@ -1650,12 +1644,10 @@ def get_aw_obj(group, version, namespace, plural): "limits": { "cpu": 1, "memory": "2G", - "nvidia.com/gpu": 0, }, "requests": { "cpu": 1, "memory": "2G", - "nvidia.com/gpu": 0, }, }, } @@ -1786,12 +1778,10 @@ def get_aw_obj(group, version, namespace, plural): "limits": { "cpu": 2, "memory": "8G", - "nvidia.com/gpu": 0, }, "requests": { "cpu": 2, "memory": "8G", - "nvidia.com/gpu": 0, }, }, } @@ -1845,12 +1835,10 @@ def get_aw_obj(group, version, namespace, plural): "limits": { "cpu": 1, "memory": "2G", - "nvidia.com/gpu": 0, }, "requests": { "cpu": 1, "memory": "2G", - "nvidia.com/gpu": 0, }, }, } @@ -2002,7 +1990,7 @@ def custom_side_effect(group, version, namespace, plural, **kwargs): cluster_config.worker_memory_requests == "2G" and cluster_config.worker_memory_limits == "2G" ) - assert cluster_config.num_worker_gpus == 0 + assert cluster_config.worker_extended_resource_requests == {} assert ( cluster_config.image == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103" @@ -2044,7 +2032,7 @@ def test_get_cluster(mocker): cluster_config.worker_memory_requests == "2G" and cluster_config.worker_memory_limits == "2G" ) - assert cluster_config.num_worker_gpus == 0 + assert cluster_config.worker_extended_resource_requests == {} assert ( cluster_config.image == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103" @@ -2082,7 +2070,7 @@ def test_get_cluster_no_mcad(mocker): cluster_config.worker_memory_requests == "2G" and cluster_config.worker_memory_limits == "2G" ) - assert cluster_config.num_worker_gpus == 0 + assert cluster_config.worker_extended_resource_requests == {} assert ( cluster_config.image == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103" @@ -2310,12 +2298,10 @@ def test_cluster_status(mocker): worker_mem_min=2, worker_mem_max=2, worker_cpu=1, - worker_gpu=0, namespace="ns", dashboard="fake-uri", head_cpus=2, head_mem=8, - head_gpu=0, ) cf = Cluster( ClusterConfiguration( @@ -2806,6 +2792,24 @@ def test_rjc_list_jobs(ray_job_client, mocker): assert job_list_jobs == jobs_list +def test_cluster_config_deprecation_conversion(mocker): + config = ClusterConfiguration( + name="test", + num_gpus=2, + head_gpus=1, + min_memory=3, + max_memory=4, + min_cpus=1, + max_cpus=2, + ) + assert config.worker_extended_resource_requests == {"nvidia.com/gpu": 2} + assert config.head_extended_resource_requests == {"nvidia.com/gpu": 1} + assert config.worker_memory_requests == "3G" + assert config.worker_memory_limits == "4G" + assert config.worker_cpu_requests == 1 + assert config.worker_cpu_limits == 2 + + # Make sure to always keep this function last def test_cleanup(): os.remove(f"{aw_dir}unit-test-no-kueue.yaml") diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index 51c47aa6..36c7d871 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -13,7 +13,7 @@ def createClusterConfig(): worker_cpu_limits=4, worker_memory_requests=5, worker_memory_limits=6, - num_worker_gpus=7, + worker_extended_resource_requests={"nvidia.com/gpu": 7}, appwrapper=True, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index 98204811..ff98e28f 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -54,7 +54,6 @@ def run_mnist_raycluster_sdk_oauth(self): worker_cpu_limits=1, worker_memory_requests=1, worker_memory_limits=2, - num_worker_gpus=0, image=ray_image, write_to_file=True, verify_tls=False, From 58d11b7c172fe46d120a3c3e70efa2278600d57c Mon Sep 17 00:00:00 2001 From: Suyash Nalawade Date: Tue, 25 Jun 2024 22:02:32 +0530 Subject: [PATCH 045/254] Added support for checking version of the codeflare-sdk package - Resolves: Issue #504 [https://github.com/project-codeflare/codeflare-sdk/issues/504] --- src/codeflare_sdk/__init__.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/src/codeflare_sdk/__init__.py b/src/codeflare_sdk/__init__.py index 28a9c4db..d3f49266 100644 --- a/src/codeflare_sdk/__init__.py +++ b/src/codeflare_sdk/__init__.py @@ -19,3 +19,11 @@ from .job import RayJobClient from .utils import generate_cert + +from importlib.metadata import version, PackageNotFoundError + +try: + __version__ = version("codeflare-sdk") #Update with latest version with each release + +except PackageNotFoundError: + __version__ = "unknown" \ No newline at end of file From b375195bc1c976691b9e8f8318e63c7d78a338b6 Mon Sep 17 00:00:00 2001 From: Suyash Nalawade Date: Tue, 25 Jun 2024 22:23:43 +0530 Subject: [PATCH 046/254] updated with pre-commit changes --- src/codeflare_sdk/__init__.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/src/codeflare_sdk/__init__.py b/src/codeflare_sdk/__init__.py index d3f49266..fbfb7bf7 100644 --- a/src/codeflare_sdk/__init__.py +++ b/src/codeflare_sdk/__init__.py @@ -23,7 +23,9 @@ from importlib.metadata import version, PackageNotFoundError try: - __version__ = version("codeflare-sdk") #Update with latest version with each release + __version__ = version( + "codeflare-sdk" + ) # Update with latest version with each release except PackageNotFoundError: - __version__ = "unknown" \ No newline at end of file + __version__ = "unknown" From 342d54c8cec188349730110a018dff3e4ebbc5f6 Mon Sep 17 00:00:00 2001 From: Suyash Nalawade Date: Mon, 1 Jul 2024 19:01:43 +0530 Subject: [PATCH 047/254] changes as per suggestions - changed the comment - changed default value to v0.0.0 --- src/codeflare_sdk/__init__.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/src/codeflare_sdk/__init__.py b/src/codeflare_sdk/__init__.py index fbfb7bf7..358ff4f2 100644 --- a/src/codeflare_sdk/__init__.py +++ b/src/codeflare_sdk/__init__.py @@ -23,9 +23,7 @@ from importlib.metadata import version, PackageNotFoundError try: - __version__ = version( - "codeflare-sdk" - ) # Update with latest version with each release + __version__ = version("codeflare-sdk") # use metadata associated with built package except PackageNotFoundError: - __version__ = "unknown" + __version__ = "v0.0.0" From 685b0b6929bb6b4e1c6faa662aac7c076134bbe1 Mon Sep 17 00:00:00 2001 From: Karel Suta Date: Wed, 10 Jul 2024 14:57:11 +0200 Subject: [PATCH 048/254] Use existing CFO image with latest changes instead of building it --- .github/workflows/e2e_tests.yaml | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml index b83afb4b..df618a61 100644 --- a/.github/workflows/e2e_tests.yaml +++ b/.github/workflows/e2e_tests.yaml @@ -24,6 +24,9 @@ concurrency: group: ${{ github.head_ref }}-${{ github.workflow }} cancel-in-progress: true +env: + CODEFLARE_OPERATOR_IMG: "quay.io/project-codeflare/codeflare-operator:dev" + jobs: kubernetes: @@ -92,9 +95,7 @@ jobs: echo Setting up CodeFlare stack make setup-e2e echo Deploying CodeFlare operator - IMG="${REGISTRY_ADDRESS}"/codeflare-operator - make image-push -e IMG="${IMG}" - make deploy -e IMG="${IMG}" -e ENV="e2e" + make deploy -e IMG="${CODEFLARE_OPERATOR_IMG}" -e ENV="e2e" kubectl wait --timeout=120s --for=condition=Available=true deployment -n openshift-operators codeflare-operator-manager cd .. From c308c0f05cabc2f17977e466223f4cb51f0a08a0 Mon Sep 17 00:00:00 2001 From: Karel Suta Date: Tue, 9 Jul 2024 15:27:43 +0200 Subject: [PATCH 049/254] Add e2e tests using GPU to execute current test scenarios --- .github/workflows/e2e_tests.yaml | 30 +++++-------------- docs/e2e.md | 20 +++++++++++-- pyproject.toml | 3 +- tests/e2e/local_interactive_sdk_kind_test.py | 16 ++++++++-- tests/e2e/mnist.py | 5 +++- .../e2e/mnist_raycluster_sdk_aw_kind_test.py | 29 ++++++++++++------ tests/e2e/mnist_raycluster_sdk_kind_test.py | 22 ++++++++++---- tests/e2e/support.py | 2 +- 8 files changed, 83 insertions(+), 44 deletions(-) diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml index df618a61..d216df9d 100644 --- a/.github/workflows/e2e_tests.yaml +++ b/.github/workflows/e2e_tests.yaml @@ -30,26 +30,9 @@ env: jobs: kubernetes: - runs-on: ubuntu-20.04 + runs-on: ubuntu-20.04-4core-gpu steps: - - name: Cleanup - run: | - ls -lart - echo "Initial status:" - df -h - echo "Cleaning up resources:" - sudo swapoff -a - sudo rm -f /swapfile - sudo apt clean - sudo rm -rf /usr/share/dotnet - sudo rm -rf /opt/ghc - sudo rm -rf "/usr/local/share/boost" - sudo rm -rf "$AGENT_TOOLSDIRECTORY" - docker rmi $(docker image ls -aq) - echo "Final status:" - df -h - - name: Checkout code uses: actions/checkout@v4 with: @@ -85,9 +68,15 @@ jobs: python-version: '3.9' cache: 'pip' # caching pip dependencies + - name: Setup NVidia GPU environment for KinD + uses: ./common/github-actions/nvidia-gpu-setup + - name: Setup and start KinD cluster uses: ./common/github-actions/kind + - name: Install NVidia GPU operator for KinD + uses: ./common/github-actions/nvidia-gpu-operator + - name: Deploy CodeFlare stack id: deploy run: | @@ -104,9 +93,6 @@ jobs: with: user-name: sdk-user - - name: Add kueue resources - run: kubectl apply --server-side -f "https://github.com/kubernetes-sigs/kueue/releases/download/v0.6.2/manifests.yaml" - - name: Configure RBAC for sdk user with limited permissions run: | kubectl create clusterrole list-ingresses --verb=get,list --resource=ingresses @@ -136,7 +122,7 @@ jobs: pip install poetry poetry install --with test,docs echo "Running e2e tests..." - poetry run pytest -v -s ./tests/e2e -m kind > ${CODEFLARE_TEST_OUTPUT_DIR}/pytest_output.log 2>&1 + poetry run pytest -v -s ./tests/e2e -m 'kind and nvidia_gpu' > ${CODEFLARE_TEST_OUTPUT_DIR}/pytest_output.log 2>&1 env: GRPC_DNS_RESOLVER: "native" diff --git a/docs/e2e.md b/docs/e2e.md index 27324f70..039749d4 100644 --- a/docs/e2e.md +++ b/docs/e2e.md @@ -5,6 +5,9 @@ ## On KinD clusters Pre-requisite for KinD clusters: please add in your local `/etc/hosts` file `127.0.0.1 kind`. This will map your localhost IP address to the KinD cluster's hostname. This is already performed on [GitHub Actions](https://github.com/project-codeflare/codeflare-common/blob/1edd775e2d4088a5a0bfddafb06ff3a773231c08/github-actions/kind/action.yml#L70-L72) +If the system you run on contains NVidia GPU then you can enable the GPU support in KinD, this will allow you to run also GPU tests. +To enable GPU on KinD follow [these instructions](https://www.substratus.ai/blog/kind-with-gpus). + - Setup Phase: - Pull the [codeflare-operator repo](https://github.com/project-codeflare/codeflare-operator) and run the following make targets: ``` @@ -64,9 +67,13 @@ Pre-requisite for KinD clusters: please add in your local `/etc/hosts` file `127 - Once we have the codeflare-operator, kuberay-operator and kueue running and ready, we can run the e2e test on the codeflare-sdk repository: ``` poetry install --with test,docs - poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_test.py + poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_kind_test.py + ``` + - If the cluster doesn't have NVidia GPU support then we need to disable NVidia GPU tests by providing proper marker: + ``` + poetry install --with test,docs + poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_kind_test.py -m 'kind and not nvidia_gpu' ``` - ## On OpenShift clusters @@ -83,6 +90,10 @@ Pre-requisite for KinD clusters: please add in your local `/etc/hosts` file `127 kubectl apply --server-side -k "github.com/opendatahub-io/kueue/config/rhoai?ref=dev" ``` +If the system you run on contains NVidia GPU then you can enable the GPU support on OpenShift, this will allow you to run also GPU tests. +To enable GPU on OpenShift follow [these instructions](https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/introduction.html). +Currently the SDK doesn't support tolerations, so e2e tests can't be executed on nodes with taint (i.e. GPU taint). + - Test Phase: - Once we have the codeflare-operator, kuberay-operator and kueue running and ready, we can run the e2e test on the codeflare-sdk repository: ``` @@ -97,3 +108,8 @@ Pre-requisite for KinD clusters: please add in your local `/etc/hosts` file `127 ``` poetry run pytest -v -s ./tests/e2e -m openshift --timeout=1200 ``` + - If the cluster doesn't have NVidia GPU support or GPU nodes have taint then we need to disable NVidia GPU tests by providing proper marker: + ``` + poetry install --with test,docs + poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_kind_test.py -m 'not nvidia_gpu' + ``` diff --git a/pyproject.toml b/pyproject.toml index 457e6de9..be225e90 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -52,6 +52,7 @@ filterwarnings = [ ] markers = [ "kind", - "openshift" + "openshift", + "nvidia_gpu" ] addopts = "--timeout=900" diff --git a/tests/e2e/local_interactive_sdk_kind_test.py b/tests/e2e/local_interactive_sdk_kind_test.py index 8ca0bdac..4479b41c 100644 --- a/tests/e2e/local_interactive_sdk_kind_test.py +++ b/tests/e2e/local_interactive_sdk_kind_test.py @@ -27,7 +27,16 @@ def test_local_interactives(self): create_kueue_resources(self) self.run_local_interactives() - def run_local_interactives(self): + @pytest.mark.nvidia_gpu + def test_local_interactives_nvidia_gpu(self): + self.setup_method() + create_namespace(self) + create_kueue_resources(self) + self.run_local_interactives(number_of_gpus=1) + + def run_local_interactives( + self, gpu_resource_name="nvidia.com/gpu", number_of_gpus=0 + ): ray_image = get_ray_image() cluster_name = "test-ray-cluster-li" @@ -43,6 +52,7 @@ def run_local_interactives(self): worker_cpu_limits=1, worker_memory_requests=1, worker_memory_limits=2, + worker_extended_resource_requests={gpu_resource_name: number_of_gpus}, image=ray_image, write_to_file=True, verify_tls=False, @@ -59,7 +69,7 @@ def run_local_interactives(self): ray.shutdown() ray.init(address=cluster.local_client_url(), logging_level="DEBUG") - @ray.remote + @ray.remote(num_gpus=number_of_gpus / 2) def heavy_calculation_part(num_iterations): result = 0.0 for i in range(num_iterations): @@ -68,7 +78,7 @@ def heavy_calculation_part(num_iterations): result += math.sin(i) * math.cos(j) * math.tan(k) return result - @ray.remote + @ray.remote(num_gpus=number_of_gpus / 2) def heavy_calculation(num_iterations): results = ray.get( [heavy_calculation_part.remote(num_iterations // 30) for _ in range(30)] diff --git a/tests/e2e/mnist.py b/tests/e2e/mnist.py index 2971d9c9..55ed91ea 100644 --- a/tests/e2e/mnist.py +++ b/tests/e2e/mnist.py @@ -32,6 +32,9 @@ print("MASTER_ADDR: is ", os.getenv("MASTER_ADDR")) print("MASTER_PORT: is ", os.getenv("MASTER_PORT")) +print("ACCELERATOR: is ", os.getenv("ACCELERATOR")) +ACCELERATOR = os.getenv("ACCELERATOR") + class LitMNIST(LightningModule): def __init__(self, data_dir=PATH_DATASETS, hidden_size=64, learning_rate=2e-4): @@ -149,7 +152,7 @@ def test_dataloader(self): # Initialize a trainer trainer = Trainer( - accelerator="auto", + accelerator=ACCELERATOR, # devices=1 if torch.cuda.is_available() else None, # limiting got iPython runs max_epochs=3, callbacks=[TQDMProgressBar(refresh_rate=20)], diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py index 2aa5da16..39bd25fd 100644 --- a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py @@ -24,9 +24,18 @@ def test_mnist_ray_cluster_sdk_kind(self): self.setup_method() create_namespace(self) create_kueue_resources(self) - self.run_mnist_raycluster_sdk_kind() + self.run_mnist_raycluster_sdk_kind(accelerator="cpu") - def run_mnist_raycluster_sdk_kind(self): + @pytest.mark.nvidia_gpu + def test_mnist_ray_cluster_sdk_kind_nvidia_gpu(self): + self.setup_method() + create_namespace(self) + create_kueue_resources(self) + self.run_mnist_raycluster_sdk_kind(accelerator="gpu", number_of_gpus=1) + + def run_mnist_raycluster_sdk_kind( + self, accelerator, gpu_resource_name="nvidia.com/gpu", number_of_gpus=0 + ): ray_image = get_ray_image() cluster = Cluster( @@ -36,11 +45,11 @@ def run_mnist_raycluster_sdk_kind(self): num_workers=1, head_cpus="500m", head_memory=2, - min_cpus="500m", - max_cpus=1, - min_memory=1, - max_memory=2, - num_gpus=0, + worker_cpu_requests="500m", + worker_cpu_limits=1, + worker_memory_requests=1, + worker_memory_limits=4, + worker_extended_resource_requests={gpu_resource_name: number_of_gpus}, image=ray_image, write_to_file=True, verify_tls=False, @@ -58,11 +67,11 @@ def run_mnist_raycluster_sdk_kind(self): cluster.details() - self.assert_jobsubmit_withoutlogin_kind(cluster) + self.assert_jobsubmit_withoutlogin_kind(cluster, accelerator, number_of_gpus) # Assertions - def assert_jobsubmit_withoutlogin_kind(self, cluster): + def assert_jobsubmit_withoutlogin_kind(self, cluster, accelerator, number_of_gpus): ray_dashboard = cluster.cluster_dashboard_uri() client = RayJobClient(address=ray_dashboard, verify=False) @@ -71,7 +80,9 @@ def assert_jobsubmit_withoutlogin_kind(self, cluster): runtime_env={ "working_dir": "./tests/e2e/", "pip": "./tests/e2e/mnist_pip_requirements.txt", + "env_vars": {"ACCELERATOR": accelerator}, }, + entrypoint_num_gpus=number_of_gpus, ) print(f"Submitted job with ID: {submission_id}") done = False diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py index af5fcc1f..356d56f9 100644 --- a/tests/e2e/mnist_raycluster_sdk_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py @@ -25,9 +25,18 @@ def test_mnist_ray_cluster_sdk_kind(self): self.setup_method() create_namespace(self) create_kueue_resources(self) - self.run_mnist_raycluster_sdk_kind() + self.run_mnist_raycluster_sdk_kind(accelerator="cpu") - def run_mnist_raycluster_sdk_kind(self): + @pytest.mark.nvidia_gpu + def test_mnist_ray_cluster_sdk_kind_nvidia_gpu(self): + self.setup_method() + create_namespace(self) + create_kueue_resources(self) + self.run_mnist_raycluster_sdk_kind(accelerator="gpu", number_of_gpus=1) + + def run_mnist_raycluster_sdk_kind( + self, accelerator, gpu_resource_name="nvidia.com/gpu", number_of_gpus=0 + ): ray_image = get_ray_image() cluster = Cluster( @@ -40,7 +49,8 @@ def run_mnist_raycluster_sdk_kind(self): worker_cpu_requests="500m", worker_cpu_limits=1, worker_memory_requests=1, - worker_memory_limits=2, + worker_memory_limits=4, + worker_extended_resource_requests={gpu_resource_name: number_of_gpus}, image=ray_image, write_to_file=True, verify_tls=False, @@ -57,11 +67,11 @@ def run_mnist_raycluster_sdk_kind(self): cluster.details() - self.assert_jobsubmit_withoutlogin_kind(cluster) + self.assert_jobsubmit_withoutlogin_kind(cluster, accelerator, number_of_gpus) # Assertions - def assert_jobsubmit_withoutlogin_kind(self, cluster): + def assert_jobsubmit_withoutlogin_kind(self, cluster, accelerator, number_of_gpus): ray_dashboard = cluster.cluster_dashboard_uri() client = RayJobClient(address=ray_dashboard, verify=False) @@ -70,7 +80,9 @@ def assert_jobsubmit_withoutlogin_kind(self, cluster): runtime_env={ "working_dir": "./tests/e2e/", "pip": "./tests/e2e/mnist_pip_requirements.txt", + "env_vars": {"ACCELERATOR": accelerator}, }, + entrypoint_num_gpus=number_of_gpus, ) print(f"Submitted job with ID: {submission_id}") done = False diff --git a/tests/e2e/support.py b/tests/e2e/support.py index d8a06bb7..3eb24153 100644 --- a/tests/e2e/support.py +++ b/tests/e2e/support.py @@ -90,7 +90,7 @@ def create_cluster_queue(self, cluster_queue, flavor): "resources": [ {"name": "cpu", "nominalQuota": 9}, {"name": "memory", "nominalQuota": "36Gi"}, - {"name": "nvidia.com/gpu", "nominalQuota": 0}, + {"name": "nvidia.com/gpu", "nominalQuota": 1}, ], } ], From 166185d5896f691e5d7b4863633440fbe0d8d376 Mon Sep 17 00:00:00 2001 From: Srihari Venkataramaiah Date: Mon, 15 Jul 2024 10:59:38 +0530 Subject: [PATCH 050/254] Increase Cluster configuration memory for upgrade tests (#585) --- tests/upgrade/raycluster_sdk_upgrade_test.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index ff98e28f..e5fd1876 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -52,8 +52,8 @@ def run_mnist_raycluster_sdk_oauth(self): head_memory=2, worker_cpu_requests=1, worker_cpu_limits=1, - worker_memory_requests=1, - worker_memory_limits=2, + worker_memory_requests=4, + worker_memory_limits=4, image=ray_image, write_to_file=True, verify_tls=False, From c46efe2540a99040794cb796b339cc735f1d1a20 Mon Sep 17 00:00:00 2001 From: ChristianZaccaria Date: Tue, 16 Jul 2024 08:59:24 +0100 Subject: [PATCH 051/254] Remove dependabot --- .github/dependabot.yml | 6 ------ 1 file changed, 6 deletions(-) delete mode 100644 .github/dependabot.yml diff --git a/.github/dependabot.yml b/.github/dependabot.yml deleted file mode 100644 index 6a7695c0..00000000 --- a/.github/dependabot.yml +++ /dev/null @@ -1,6 +0,0 @@ -version: 2 -updates: - - package-ecosystem: "pip" - directory: "/" - schedule: - interval: "weekly" From e7a45ba69bb2f49bf05c16b72f33669d993a8f92 Mon Sep 17 00:00:00 2001 From: abhijeet-dhumal Date: Mon, 15 Jul 2024 20:37:17 +0530 Subject: [PATCH 052/254] Update cluster configuration to increase worker memory and remove ray-img input parameter given in cluster configuration for e2e tests --- tests/e2e/local_interactive_sdk_kind_test.py | 5 +---- tests/e2e/local_interactive_sdk_oauth_test.py | 5 +---- tests/e2e/mnist_raycluster_sdk_aw_kind_test.py | 3 --- tests/e2e/mnist_raycluster_sdk_kind_test.py | 3 --- tests/e2e/mnist_raycluster_sdk_oauth_test.py | 5 +---- 5 files changed, 3 insertions(+), 18 deletions(-) diff --git a/tests/e2e/local_interactive_sdk_kind_test.py b/tests/e2e/local_interactive_sdk_kind_test.py index 4479b41c..6693117b 100644 --- a/tests/e2e/local_interactive_sdk_kind_test.py +++ b/tests/e2e/local_interactive_sdk_kind_test.py @@ -37,8 +37,6 @@ def test_local_interactives_nvidia_gpu(self): def run_local_interactives( self, gpu_resource_name="nvidia.com/gpu", number_of_gpus=0 ): - ray_image = get_ray_image() - cluster_name = "test-ray-cluster-li" cluster = Cluster( @@ -51,9 +49,8 @@ def run_local_interactives( worker_cpu_requests="500m", worker_cpu_limits=1, worker_memory_requests=1, - worker_memory_limits=2, + worker_memory_limits=4, worker_extended_resource_requests={gpu_resource_name: number_of_gpus}, - image=ray_image, write_to_file=True, verify_tls=False, ) diff --git a/tests/e2e/local_interactive_sdk_oauth_test.py b/tests/e2e/local_interactive_sdk_oauth_test.py index 4177413e..0e5c0204 100644 --- a/tests/e2e/local_interactive_sdk_oauth_test.py +++ b/tests/e2e/local_interactive_sdk_oauth_test.py @@ -28,8 +28,6 @@ def test_local_interactives(self): self.run_local_interactives() def run_local_interactives(self): - ray_image = get_ray_image() - auth = TokenAuthentication( token=run_oc_command(["whoami", "--show-token=true"]), server=run_oc_command(["whoami", "--show-server=true"]), @@ -46,9 +44,8 @@ def run_local_interactives(self): num_workers=1, worker_cpu_requests=1, worker_cpu_limits=1, - worker_memory_requests=4, + worker_memory_requests=1, worker_memory_limits=4, - image=ray_image, verify_tls=False, ) ) diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py index 39bd25fd..d2d0995b 100644 --- a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py @@ -36,8 +36,6 @@ def test_mnist_ray_cluster_sdk_kind_nvidia_gpu(self): def run_mnist_raycluster_sdk_kind( self, accelerator, gpu_resource_name="nvidia.com/gpu", number_of_gpus=0 ): - ray_image = get_ray_image() - cluster = Cluster( ClusterConfiguration( name="mnist", @@ -50,7 +48,6 @@ def run_mnist_raycluster_sdk_kind( worker_memory_requests=1, worker_memory_limits=4, worker_extended_resource_requests={gpu_resource_name: number_of_gpus}, - image=ray_image, write_to_file=True, verify_tls=False, appwrapper=True, diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py index 356d56f9..2635fecd 100644 --- a/tests/e2e/mnist_raycluster_sdk_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py @@ -37,8 +37,6 @@ def test_mnist_ray_cluster_sdk_kind_nvidia_gpu(self): def run_mnist_raycluster_sdk_kind( self, accelerator, gpu_resource_name="nvidia.com/gpu", number_of_gpus=0 ): - ray_image = get_ray_image() - cluster = Cluster( ClusterConfiguration( name="mnist", @@ -51,7 +49,6 @@ def run_mnist_raycluster_sdk_kind( worker_memory_requests=1, worker_memory_limits=4, worker_extended_resource_requests={gpu_resource_name: number_of_gpus}, - image=ray_image, write_to_file=True, verify_tls=False, ) diff --git a/tests/e2e/mnist_raycluster_sdk_oauth_test.py b/tests/e2e/mnist_raycluster_sdk_oauth_test.py index 4e85e9f1..0ddab720 100644 --- a/tests/e2e/mnist_raycluster_sdk_oauth_test.py +++ b/tests/e2e/mnist_raycluster_sdk_oauth_test.py @@ -28,8 +28,6 @@ def test_mnist_ray_cluster_sdk_auth(self): self.run_mnist_raycluster_sdk_oauth() def run_mnist_raycluster_sdk_oauth(self): - ray_image = get_ray_image() - auth = TokenAuthentication( token=run_oc_command(["whoami", "--show-token=true"]), server=run_oc_command(["whoami", "--show-server=true"]), @@ -47,8 +45,7 @@ def run_mnist_raycluster_sdk_oauth(self): worker_cpu_requests="500m", worker_cpu_limits=1, worker_memory_requests=1, - worker_memory_limits=2, - image=ray_image, + worker_memory_limits=4, write_to_file=True, verify_tls=False, ) From 4dca262d8ac3c0ec07f89dc4832c52f0c4bed3a9 Mon Sep 17 00:00:00 2001 From: Ignas Baranauskas Date: Tue, 16 Jul 2024 10:59:00 +0100 Subject: [PATCH 053/254] Add validation for Cluster configuration parameters --- src/codeflare_sdk/cluster/config.py | 88 +++++++++++++++++++---------- 1 file changed, 59 insertions(+), 29 deletions(-) diff --git a/src/codeflare_sdk/cluster/config.py b/src/codeflare_sdk/cluster/config.py index 6a522fbc..610d53c4 100644 --- a/src/codeflare_sdk/cluster/config.py +++ b/src/codeflare_sdk/cluster/config.py @@ -18,10 +18,10 @@ Cluster object. """ -from dataclasses import dataclass, field import pathlib -import typing import warnings +from dataclasses import dataclass, field, fields +from typing import Dict, List, Optional, Union, get_args, get_origin dir = pathlib.Path(__file__).parent.parent.resolve() @@ -73,36 +73,37 @@ class ClusterConfiguration: """ name: str - namespace: str = None - head_info: list = field(default_factory=list) - head_cpus: typing.Union[int, str] = 2 - head_memory: typing.Union[int, str] = 8 - head_gpus: int = None # Deprecating - head_extended_resource_requests: typing.Dict[str, int] = field(default_factory=dict) - machine_types: list = field(default_factory=list) # ["m4.xlarge", "g4dn.xlarge"] - worker_cpu_requests: typing.Union[int, str] = 1 - worker_cpu_limits: typing.Union[int, str] = 1 - min_cpus: typing.Union[int, str] = None # Deprecating - max_cpus: typing.Union[int, str] = None # Deprecating + namespace: Optional[str] = None + head_info: List[str] = field(default_factory=list) + head_cpus: Union[int, str] = 2 + head_memory: Union[int, str] = 8 + head_gpus: Optional[int] = None # Deprecating + head_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + machine_types: List[str] = field( + default_factory=list + ) # ["m4.xlarge", "g4dn.xlarge"] + worker_cpu_requests: Union[int, str] = 1 + worker_cpu_limits: Union[int, str] = 1 + min_cpus: Optional[Union[int, str]] = None # Deprecating + max_cpus: Optional[Union[int, str]] = None # Deprecating num_workers: int = 1 - worker_memory_requests: typing.Union[int, str] = 2 - worker_memory_limits: typing.Union[int, str] = 2 - min_memory: typing.Union[int, str] = None # Deprecating - max_memory: typing.Union[int, str] = None # Deprecating - num_gpus: int = None # Deprecating + worker_memory_requests: Union[int, str] = 2 + worker_memory_limits: Union[int, str] = 2 + min_memory: Optional[Union[int, str]] = None # Deprecating + max_memory: Optional[Union[int, str]] = None # Deprecating + num_gpus: Optional[int] = None # Deprecating template: str = f"{dir}/templates/base-template.yaml" appwrapper: bool = False - envs: dict = field(default_factory=dict) + envs: Dict[str, str] = field(default_factory=dict) image: str = "" - image_pull_secrets: list = field(default_factory=list) + image_pull_secrets: List[str] = field(default_factory=list) write_to_file: bool = False verify_tls: bool = True - labels: dict = field(default_factory=dict) - worker_extended_resource_requests: typing.Dict[str, int] = field( - default_factory=dict - ) - extended_resource_mapping: typing.Dict[str, str] = field(default_factory=dict) + labels: Dict[str, str] = field(default_factory=dict) + worker_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + extended_resource_mapping: Dict[str, str] = field(default_factory=dict) overwrite_default_resource_mapping: bool = False + local_queue: Optional[str] = None def __post_init__(self): if not self.verify_tls: @@ -110,6 +111,7 @@ def __post_init__(self): "Warning: TLS verification has been disabled - Endpoint checks will be bypassed" ) + self._validate_types() self._memory_to_string() self._str_mem_no_unit_add_GB() self._memory_to_resource() @@ -139,9 +141,7 @@ def _combine_extended_resource_mapping(self): **self.extended_resource_mapping, } - def _validate_extended_resource_requests( - self, extended_resources: typing.Dict[str, int] - ): + def _validate_extended_resource_requests(self, extended_resources: Dict[str, int]): for k in extended_resources.keys(): if k not in self.extended_resource_mapping.keys(): raise ValueError( @@ -206,4 +206,34 @@ def _memory_to_resource(self): warnings.warn("max_memory is being deprecated, use worker_memory_limits") self.worker_memory_limits = f"{self.max_memory}G" - local_queue: str = None + def _validate_types(self): + """Validate the types of all fields in the ClusterConfiguration dataclass.""" + for field_info in fields(self): + value = getattr(self, field_info.name) + expected_type = field_info.type + if not self._is_type(value, expected_type): + raise TypeError( + f"'{field_info.name}' should be of type {expected_type}" + ) + + @staticmethod + def _is_type(value, expected_type): + """Check if the value matches the expected type.""" + + def check_type(value, expected_type): + origin_type = get_origin(expected_type) + args = get_args(expected_type) + if origin_type is Union: + return any(check_type(value, union_type) for union_type in args) + if origin_type is list: + return all(check_type(elem, args[0]) for elem in value) + if origin_type is dict: + return all( + check_type(k, args[0]) and check_type(v, args[1]) + for k, v in value.items() + ) + if origin_type is tuple: + return all(check_type(elem, etype) for elem, etype in zip(value, args)) + return isinstance(value, expected_type) + + return check_type(value, expected_type) From 9c1e65d2460ca0cd85a35a4031ab4917f3e672ea Mon Sep 17 00:00:00 2001 From: Ignas Baranauskas Date: Tue, 16 Jul 2024 15:16:37 +0100 Subject: [PATCH 054/254] Unit test to validate Cluster configuration parameters --- tests/unit_test.py | 6 ++++++ tests/unit_test_support.py | 20 ++++++++++++++++++++ 2 files changed, 26 insertions(+) diff --git a/tests/unit_test.py b/tests/unit_test.py index 2decade2..bb14d2b2 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -67,6 +67,7 @@ from tests.unit_test_support import ( createClusterWithConfig, createClusterConfig, + createClusterWrongType, ) import codeflare_sdk.utils.kube_api_helpers @@ -268,6 +269,11 @@ def test_config_creation(): assert config.appwrapper == True +def test_config_creation_wrong_type(): + with pytest.raises(TypeError): + config = createClusterWrongType() + + def test_cluster_creation(mocker): # Create AppWrapper containing a Ray Cluster with no local queue specified mocker.patch("kubernetes.client.ApisApi.get_api_versions") diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index 36c7d871..25e206c5 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -31,3 +31,23 @@ def createClusterWithConfig(mocker): ) cluster = Cluster(createClusterConfig()) return cluster + + +def createClusterWrongType(): + config = ClusterConfiguration( + name="unit-test-cluster", + namespace="ns", + num_workers=2, + worker_cpu_requests=[], + worker_cpu_limits=4, + worker_memory_requests=5, + worker_memory_limits=6, + worker_extended_resource_requests={"nvidia.com/gpu": 7}, + appwrapper=True, + machine_types=[True, False], + image_pull_secrets=["unit-test-pull-secret"], + image="quay.io/rhoai/ray:2.23.0-py39-cu121", + write_to_file=True, + labels={1: 1}, + ) + return config From 88577c7253861592bb005d1b1e817cd9561bc16b Mon Sep 17 00:00:00 2001 From: abhijeet-dhumal Date: Thu, 18 Jul 2024 16:10:20 +0530 Subject: [PATCH 055/254] Updated e2e tests to support S3 compatible storage bucket from whicyh to download MNISt datasets for disconnected automation --- .pre-commit-config.yaml | 1 + docs/e2e.md | 27 ++- tests/e2e/local_interactive_sdk_oauth_test.py | 3 + tests/e2e/minio_deployment.yaml | 163 ++++++++++++++++++ tests/e2e/mnist.py | 91 +++++++++- tests/e2e/mnist_pip_requirements.txt | 1 + .../e2e/mnist_raycluster_sdk_aw_kind_test.py | 3 +- tests/e2e/mnist_raycluster_sdk_kind_test.py | 2 +- tests/e2e/mnist_raycluster_sdk_oauth_test.py | 8 +- tests/e2e/support.py | 50 +++++- tests/upgrade/raycluster_sdk_upgrade_test.py | 1 + 11 files changed, 331 insertions(+), 19 deletions(-) create mode 100644 tests/e2e/minio_deployment.yaml diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 89e037cd..7928084d 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -7,6 +7,7 @@ repos: - id: trailing-whitespace - id: end-of-file-fixer - id: check-yaml + args: [--allow-multiple-documents] - id: check-added-large-files - repo: https://github.com/psf/black rev: 23.3.0 diff --git a/docs/e2e.md b/docs/e2e.md index 039749d4..f3d0c940 100644 --- a/docs/e2e.md +++ b/docs/e2e.md @@ -108,8 +108,25 @@ Currently the SDK doesn't support tolerations, so e2e tests can't be executed on ``` poetry run pytest -v -s ./tests/e2e -m openshift --timeout=1200 ``` - - If the cluster doesn't have NVidia GPU support or GPU nodes have taint then we need to disable NVidia GPU tests by providing proper marker: - ``` - poetry install --with test,docs - poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_kind_test.py -m 'not nvidia_gpu' - ``` + +## On OpenShift Disconnected clusters + +- In addition to setup phase mentioned above in case of Openshift cluster, Disconnected environment requires following pre-requisites : + - Mirror Image registry : + - Image mirror registry is used to host set of container images required locally for the applications and services. This ensures to pull images without needing an external network connection. It also ensures continuous operation and deployment capabilities in a network-isolated environment. + - PYPI Mirror Index : + - When trying to install Python packages in a disconnected environment, the pip command might fail because the connection cannot install packages from external URLs. This issue can be resolved by setting up PIP Mirror Index on separate endpoint in same environment. + - S3 compatible storage : + - Some of our distributed training examples require an external storage solution so that all nodes can access the same data in disconnected environment (For example: common-datasets and model files). + - Minio S3 compatible storage type instance can be deployed in disconnected environment using `/tests/e2e/minio_deployment.yaml` or using support methods in e2e test suite. + - The following are environment variables for configuring PIP index URl for accessing the common-python packages required and the S3 or Minio storage for your Ray Train script or interactive session. + ``` + export RAY_IMAGE=quay.io/project-codeflare/ray@sha256: (prefer image digest over image tag in disocnnected environment) + PIP_INDEX_URL=https:///root/pypi/+simple/ \ + PIP_TRUSTED_HOST= \ + AWS_DEFAULT_ENDPOINT= \ + AWS_ACCESS_KEY_ID= \ + AWS_SECRET_ACCESS_KEY= \ + AWS_STORAGE_BUCKET= + AWS_STORAGE_BUCKET_MNIST_DIR= + ``` diff --git a/tests/e2e/local_interactive_sdk_oauth_test.py b/tests/e2e/local_interactive_sdk_oauth_test.py index 0e5c0204..b5229deb 100644 --- a/tests/e2e/local_interactive_sdk_oauth_test.py +++ b/tests/e2e/local_interactive_sdk_oauth_test.py @@ -28,6 +28,8 @@ def test_local_interactives(self): self.run_local_interactives() def run_local_interactives(self): + ray_image = get_ray_image() + auth = TokenAuthentication( token=run_oc_command(["whoami", "--show-token=true"]), server=run_oc_command(["whoami", "--show-server=true"]), @@ -46,6 +48,7 @@ def run_local_interactives(self): worker_cpu_limits=1, worker_memory_requests=1, worker_memory_limits=4, + image=ray_image, verify_tls=False, ) ) diff --git a/tests/e2e/minio_deployment.yaml b/tests/e2e/minio_deployment.yaml new file mode 100644 index 00000000..86d4ef01 --- /dev/null +++ b/tests/e2e/minio_deployment.yaml @@ -0,0 +1,163 @@ +--- +kind: PersistentVolumeClaim +apiVersion: v1 +metadata: + name: minio-pvc +spec: + accessModes: + - ReadWriteOnce + resources: + requests: + storage: 20Gi + volumeMode: Filesystem +--- +kind: Secret +apiVersion: v1 +metadata: + name: minio-secret +stringData: + # change the username and password to your own values. + # ensure that the user is at least 3 characters long and the password at least 8 + minio_root_user: minio + minio_root_password: minio123 +--- +kind: Deployment +apiVersion: apps/v1 +metadata: + name: minio +spec: + replicas: 1 + selector: + matchLabels: + app: minio + template: + metadata: + creationTimestamp: null + labels: + app: minio + spec: + volumes: + - name: data + persistentVolumeClaim: + claimName: minio-pvc + containers: + - resources: + limits: + cpu: 250m + memory: 1Gi + requests: + cpu: 20m + memory: 100Mi + readinessProbe: + tcpSocket: + port: 9000 + initialDelaySeconds: 5 + timeoutSeconds: 1 + periodSeconds: 5 + successThreshold: 1 + failureThreshold: 3 + terminationMessagePath: /dev/termination-log + name: minio + livenessProbe: + tcpSocket: + port: 9000 + initialDelaySeconds: 30 + timeoutSeconds: 1 + periodSeconds: 5 + successThreshold: 1 + failureThreshold: 3 + env: + - name: MINIO_ROOT_USER + valueFrom: + secretKeyRef: + name: minio-secret + key: minio_root_user + - name: MINIO_ROOT_PASSWORD + valueFrom: + secretKeyRef: + name: minio-secret + key: minio_root_password + ports: + - containerPort: 9000 + protocol: TCP + - containerPort: 9090 + protocol: TCP + imagePullPolicy: IfNotPresent + volumeMounts: + - name: data + mountPath: /data + subPath: minio + terminationMessagePolicy: File + image: >- + quay.io/minio/minio:RELEASE.2024-06-22T05-26-45Z + # In case of disconnected environment, use image digest instead of tag + # For example : /minio/minio@sha256:6b3abf2f59286b985bfde2b23e37230b466081eda5dccbf971524d54c8e406b5 + args: + - server + - /data + - --console-address + - :9090 + restartPolicy: Always + terminationGracePeriodSeconds: 30 + dnsPolicy: ClusterFirst + securityContext: {} + schedulerName: default-scheduler + strategy: + type: Recreate + revisionHistoryLimit: 10 + progressDeadlineSeconds: 600 +--- +kind: Service +apiVersion: v1 +metadata: + name: minio-service +spec: + ipFamilies: + - IPv4 + ports: + - name: api + protocol: TCP + port: 9000 + targetPort: 9000 + - name: ui + protocol: TCP + port: 9090 + targetPort: 9090 + internalTrafficPolicy: Cluster + type: ClusterIP + ipFamilyPolicy: SingleStack + sessionAffinity: None + selector: + app: minio +--- +kind: Route +apiVersion: route.openshift.io/v1 +metadata: + name: minio-api +spec: + to: + kind: Service + name: minio-service + weight: 100 + port: + targetPort: api + wildcardPolicy: None + tls: + termination: edge + insecureEdgeTerminationPolicy: Redirect +--- +kind: Route +apiVersion: route.openshift.io/v1 +metadata: + name: minio-ui +spec: + to: + kind: Service + name: minio-service + weight: 100 + port: + targetPort: ui + wildcardPolicy: None + tls: + termination: edge + insecureEdgeTerminationPolicy: Redirect diff --git a/tests/e2e/mnist.py b/tests/e2e/mnist.py index 55ed91ea..4c382f67 100644 --- a/tests/e2e/mnist.py +++ b/tests/e2e/mnist.py @@ -15,6 +15,7 @@ import os import torch +import requests from pytorch_lightning import LightningModule, Trainer from pytorch_lightning.callbacks.progress import TQDMProgressBar from torch import nn @@ -23,9 +24,15 @@ from torchmetrics import Accuracy from torchvision import transforms from torchvision.datasets import MNIST +import gzip +import shutil +from minio import Minio + PATH_DATASETS = os.environ.get("PATH_DATASETS", ".") BATCH_SIZE = 256 if torch.cuda.is_available() else 64 + +local_mnist_path = os.path.dirname(os.path.abspath(__file__)) # %% print("prior to running the trainer") @@ -35,6 +42,25 @@ print("ACCELERATOR: is ", os.getenv("ACCELERATOR")) ACCELERATOR = os.getenv("ACCELERATOR") +STORAGE_BUCKET_EXISTS = "AWS_DEFAULT_ENDPOINT" in os.environ +print("STORAGE_BUCKET_EXISTS: ", STORAGE_BUCKET_EXISTS) + +print( + f'Storage_Bucket_Default_Endpoint : is {os.environ.get("AWS_DEFAULT_ENDPOINT")}' + if "AWS_DEFAULT_ENDPOINT" in os.environ + else "" +) +print( + f'Storage_Bucket_Name : is {os.environ.get("AWS_STORAGE_BUCKET")}' + if "AWS_STORAGE_BUCKET" in os.environ + else "" +) +print( + f'Storage_Bucket_Mnist_Directory : is {os.environ.get("AWS_STORAGE_BUCKET_MNIST_DIR")}' + if "AWS_STORAGE_BUCKET_MNIST_DIR" in os.environ + else "" +) + class LitMNIST(LightningModule): def __init__(self, data_dir=PATH_DATASETS, hidden_size=64, learning_rate=2e-4): @@ -114,19 +140,74 @@ def configure_optimizers(self): def prepare_data(self): # download print("Downloading MNIST dataset...") - MNIST(self.data_dir, train=True, download=True) - MNIST(self.data_dir, train=False, download=True) + + if ( + STORAGE_BUCKET_EXISTS + and os.environ.get("AWS_DEFAULT_ENDPOINT") != "" + and os.environ.get("AWS_DEFAULT_ENDPOINT") != None + ): + print("Using storage bucket to download datasets...") + + dataset_dir = os.path.join(self.data_dir, "MNIST/raw") + endpoint = os.environ.get("AWS_DEFAULT_ENDPOINT") + access_key = os.environ.get("AWS_ACCESS_KEY_ID") + secret_key = os.environ.get("AWS_SECRET_ACCESS_KEY") + bucket_name = os.environ.get("AWS_STORAGE_BUCKET") + + client = Minio( + endpoint, + access_key=access_key, + secret_key=secret_key, + cert_check=False, + ) + + if not os.path.exists(dataset_dir): + os.makedirs(dataset_dir) + else: + print(f"Directory '{dataset_dir}' already exists") + + # To download datasets from storage bucket's specific directory, use prefix to provide directory name + prefix = os.environ.get("AWS_STORAGE_BUCKET_MNIST_DIR") + # download all files from prefix folder of storage bucket recursively + for item in client.list_objects(bucket_name, prefix=prefix, recursive=True): + file_name = item.object_name[len(prefix) + 1 :] + dataset_file_path = os.path.join(dataset_dir, file_name) + if not os.path.exists(dataset_file_path): + client.fget_object(bucket_name, item.object_name, dataset_file_path) + else: + print(f"File-path '{dataset_file_path}' already exists") + # Unzip files + with gzip.open(dataset_file_path, "rb") as f_in: + with open(dataset_file_path.split(".")[:-1][0], "wb") as f_out: + shutil.copyfileobj(f_in, f_out) + # delete zip file + os.remove(dataset_file_path) + unzipped_filepath = dataset_file_path.split(".")[0] + if os.path.exists(unzipped_filepath): + print( + f"Unzipped and saved dataset file to path - {unzipped_filepath}" + ) + download_datasets = False + + else: + print("Using default MNIST mirror reference to download datasets...") + download_datasets = True + + MNIST(self.data_dir, train=True, download=download_datasets) + MNIST(self.data_dir, train=False, download=download_datasets) def setup(self, stage=None): # Assign train/val datasets for use in dataloaders if stage == "fit" or stage is None: - mnist_full = MNIST(self.data_dir, train=True, transform=self.transform) + mnist_full = MNIST( + self.data_dir, train=True, transform=self.transform, download=False + ) self.mnist_train, self.mnist_val = random_split(mnist_full, [55000, 5000]) # Assign test dataset for use in dataloader(s) if stage == "test" or stage is None: self.mnist_test = MNIST( - self.data_dir, train=False, transform=self.transform + self.data_dir, train=False, transform=self.transform, download=False ) def train_dataloader(self): @@ -145,7 +226,7 @@ def test_dataloader(self): # Init DataLoader from MNIST Dataset -model = LitMNIST() +model = LitMNIST(data_dir=local_mnist_path) print("GROUP: ", int(os.environ.get("GROUP_WORLD_SIZE", 1))) print("LOCAL: ", int(os.environ.get("LOCAL_WORLD_SIZE", 1))) diff --git a/tests/e2e/mnist_pip_requirements.txt b/tests/e2e/mnist_pip_requirements.txt index 4c9d5fcb..907e9a52 100644 --- a/tests/e2e/mnist_pip_requirements.txt +++ b/tests/e2e/mnist_pip_requirements.txt @@ -1,3 +1,4 @@ pytorch_lightning==1.9.5 torchmetrics==0.9.1 torchvision==0.12.0 +minio diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py index d2d0995b..012098a4 100644 --- a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py @@ -19,6 +19,7 @@ def setup_method(self): def teardown_method(self): delete_namespace(self) + delete_kueue_resources(self) def test_mnist_ray_cluster_sdk_kind(self): self.setup_method() @@ -77,7 +78,7 @@ def assert_jobsubmit_withoutlogin_kind(self, cluster, accelerator, number_of_gpu runtime_env={ "working_dir": "./tests/e2e/", "pip": "./tests/e2e/mnist_pip_requirements.txt", - "env_vars": {"ACCELERATOR": accelerator}, + "env_vars": get_setup_env_variables(ACCELERATOR=accelerator), }, entrypoint_num_gpus=number_of_gpus, ) diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py index 2635fecd..2623b36c 100644 --- a/tests/e2e/mnist_raycluster_sdk_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py @@ -77,7 +77,7 @@ def assert_jobsubmit_withoutlogin_kind(self, cluster, accelerator, number_of_gpu runtime_env={ "working_dir": "./tests/e2e/", "pip": "./tests/e2e/mnist_pip_requirements.txt", - "env_vars": {"ACCELERATOR": accelerator}, + "env_vars": get_setup_env_variables(ACCELERATOR=accelerator), }, entrypoint_num_gpus=number_of_gpus, ) diff --git a/tests/e2e/mnist_raycluster_sdk_oauth_test.py b/tests/e2e/mnist_raycluster_sdk_oauth_test.py index 0ddab720..bc052bea 100644 --- a/tests/e2e/mnist_raycluster_sdk_oauth_test.py +++ b/tests/e2e/mnist_raycluster_sdk_oauth_test.py @@ -28,6 +28,8 @@ def test_mnist_ray_cluster_sdk_auth(self): self.run_mnist_raycluster_sdk_oauth() def run_mnist_raycluster_sdk_oauth(self): + ray_image = get_ray_image() + auth = TokenAuthentication( token=run_oc_command(["whoami", "--show-token=true"]), server=run_oc_command(["whoami", "--show-server=true"]), @@ -42,10 +44,11 @@ def run_mnist_raycluster_sdk_oauth(self): num_workers=1, head_cpus="500m", head_memory=2, - worker_cpu_requests="500m", + worker_cpu_requests=1, worker_cpu_limits=1, worker_memory_requests=1, worker_memory_limits=4, + image=ray_image, write_to_file=True, verify_tls=False, ) @@ -73,6 +76,7 @@ def assert_jobsubmit_withoutLogin(self, cluster): "runtime_env": { "working_dir": "./tests/e2e/", "pip": "./tests/e2e/mnist_pip_requirements.txt", + "env_vars": get_setup_env_variables(), }, } try: @@ -100,7 +104,9 @@ def assert_jobsubmit_withlogin(self, cluster): runtime_env={ "working_dir": "./tests/e2e/", "pip": "./tests/e2e/mnist_pip_requirements.txt", + "env_vars": get_setup_env_variables(), }, + entrypoint_num_cpus=1, ) print(f"Submitted job with ID: {submission_id}") done = False diff --git a/tests/e2e/support.py b/tests/e2e/support.py index 3eb24153..c8346909 100644 --- a/tests/e2e/support.py +++ b/tests/e2e/support.py @@ -12,17 +12,55 @@ def get_ray_image(): return os.getenv("RAY_IMAGE", default_ray_image) +def get_setup_env_variables(**kwargs): + env_vars = dict() + + # Use input parameters provided for this function as environment variables + for key, value in kwargs.items(): + env_vars[str(key)] = value + + # Use specified pip index url instead of default(https://pypi.org/simple) if related environment variables exists + if ( + "PIP_INDEX_URL" in os.environ + and os.environ.get("PIP_INDEX_URL") != None + and os.environ.get("PIP_INDEX_URL") != "" + ): + env_vars["PIP_INDEX_URL"] = os.environ.get("PIP_INDEX_URL") + env_vars["PIP_TRUSTED_HOST"] = os.environ.get("PIP_TRUSTED_HOST") + else: + env_vars["PIP_INDEX_URL"] = "https://pypi.org/simple/" + env_vars["PIP_TRUSTED_HOST"] = "pypi.org" + + # Use specified storage bucket reference from which to download datasets + if ( + "AWS_DEFAULT_ENDPOINT" in os.environ + and os.environ.get("AWS_DEFAULT_ENDPOINT") != None + and os.environ.get("AWS_DEFAULT_ENDPOINT") != "" + ): + env_vars["AWS_DEFAULT_ENDPOINT"] = os.environ.get("AWS_DEFAULT_ENDPOINT") + env_vars["AWS_ACCESS_KEY_ID"] = os.environ.get("AWS_ACCESS_KEY_ID") + env_vars["AWS_SECRET_ACCESS_KEY"] = os.environ.get("AWS_SECRET_ACCESS_KEY") + env_vars["AWS_STORAGE_BUCKET"] = os.environ.get("AWS_STORAGE_BUCKET") + env_vars["AWS_STORAGE_BUCKET_MNIST_DIR"] = os.environ.get( + "AWS_STORAGE_BUCKET_MNIST_DIR" + ) + return env_vars + + def random_choice(): alphabet = string.ascii_lowercase + string.digits return "".join(random.choices(alphabet, k=5)) def create_namespace(self): - self.namespace = f"test-ns-{random_choice()}" - namespace_body = client.V1Namespace( - metadata=client.V1ObjectMeta(name=self.namespace) - ) - self.api_instance.create_namespace(namespace_body) + try: + self.namespace = f"test-ns-{random_choice()}" + namespace_body = client.V1Namespace( + metadata=client.V1ObjectMeta(name=self.namespace) + ) + self.api_instance.create_namespace(namespace_body) + except Exception as e: + return RuntimeError(e) def create_new_resource_flavor(self): @@ -60,7 +98,7 @@ def initialize_kubernetes_client(self): config.load_kube_config() # Initialize Kubernetes client self.api_instance = client.CoreV1Api() - self.custom_api = kubernetes.client.CustomObjectsApi(self.api_instance.api_client) + self.custom_api = client.CustomObjectsApi(self.api_instance.api_client) def run_oc_command(args): diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index e5fd1876..87f61f15 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -121,6 +121,7 @@ def assert_jobsubmit_withlogin(self, cluster): runtime_env={ "working_dir": "./tests/e2e/", "pip": "./tests/e2e/mnist_pip_requirements.txt", + "env_vars": get_setup_env_variables(), }, ) print(f"Submitted job with ID: {submission_id}") From 304a1e766036205739825615e5c8b0399f5602b3 Mon Sep 17 00:00:00 2001 From: Shilpa Chugh Date: Mon, 22 Jul 2024 13:50:14 +0530 Subject: [PATCH 056/254] Add unit tests for RHOAI ray image --- tests/test-case-custom-image.yaml | 156 ++++++++++++++++++++++++++++++ tests/unit_test.py | 63 ++++++++++-- tests/unit_test_support.py | 1 - 3 files changed, 211 insertions(+), 9 deletions(-) create mode 100644 tests/test-case-custom-image.yaml diff --git a/tests/test-case-custom-image.yaml b/tests/test-case-custom-image.yaml new file mode 100644 index 00000000..8a417a58 --- /dev/null +++ b/tests/test-case-custom-image.yaml @@ -0,0 +1,156 @@ +apiVersion: ray.io/v1 +kind: RayCluster +metadata: + annotations: + app.kubernetes.io/managed-by: test-prefix + labels: + controller-tools.k8s.io: '1.0' + kueue.x-k8s.io/queue-name: local-queue-default + testlabel: test + testlabel2: test + name: unit-test-cluster-custom-image + namespace: ns +spec: + autoscalerOptions: + idleTimeoutSeconds: 60 + imagePullPolicy: Always + resources: + limits: + cpu: 500m + memory: 512Mi + requests: + cpu: 500m + memory: 512Mi + upscalingMode: Default + enableInTreeAutoscaling: false + headGroupSpec: + enableIngress: false + rayStartParams: + block: 'true' + dashboard-host: 0.0.0.0 + num-gpus: '0' + resources: '"{}"' + serviceType: ClusterIP + template: + spec: + containers: + - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + imagePullPolicy: Always + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: ray-head + ports: + - containerPort: 6379 + name: gcs + - containerPort: 8265 + name: dashboard + - containerPort: 10001 + name: client + resources: + limits: + cpu: 2 + memory: 8G + requests: + cpu: 2 + memory: 8G + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + imagePullSecrets: + - name: unit-test-pull-secret + volumes: + - configMap: + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-trusted-ca-cert + - configMap: + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-ca-cert + rayVersion: 2.23.0 + workerGroupSpecs: + - groupName: small-group-unit-test-cluster-custom-image + maxReplicas: 2 + minReplicas: 2 + rayStartParams: + block: 'true' + num-gpus: '7' + resources: '"{}"' + replicas: 2 + template: + metadata: + annotations: + key: value + labels: + key: value + spec: + containers: + - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118 + lifecycle: + preStop: + exec: + command: + - /bin/sh + - -c + - ray stop + name: machine-learning + resources: + limits: + cpu: 4 + memory: 6G + nvidia.com/gpu: 7 + requests: + cpu: 3 + memory: 5G + nvidia.com/gpu: 7 + volumeMounts: + - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt + name: odh-trusted-ca-cert + subPath: odh-trusted-ca-bundle.crt + - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + - mountPath: /etc/ssl/certs/odh-ca-bundle.crt + name: odh-ca-cert + subPath: odh-ca-bundle.crt + imagePullSecrets: + - name: unit-test-pull-secret + volumes: + - configMap: + items: + - key: ca-bundle.crt + path: odh-trusted-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-trusted-ca-cert + - configMap: + items: + - key: odh-ca-bundle.crt + path: odh-ca-bundle.crt + name: odh-trusted-ca-bundle + optional: true + name: odh-ca-cert diff --git a/tests/unit_test.py b/tests/unit_test.py index bb14d2b2..2709894e 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -262,7 +262,6 @@ def test_config_creation(): assert config.worker_cpu_requests == 3 and config.worker_cpu_limits == 4 assert config.worker_memory_requests == "5G" and config.worker_memory_limits == "6G" assert config.worker_extended_resource_requests == {"nvidia.com/gpu": 7} - assert config.image == "quay.io/rhoai/ray:2.23.0-py39-cu121" assert config.template == f"{parent}/src/codeflare_sdk/templates/base-template.yaml" assert config.machine_types == ["cpu.small", "gpu.large"] assert config.image_pull_secrets == ["unit-test-pull-secret"] @@ -415,7 +414,6 @@ def test_cluster_creation_no_mcad_local_queue(mocker): worker_extended_resource_requests={"nvidia.com/gpu": 7}, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], - image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=True, appwrapper=False, local_queue="local-queue-default", @@ -443,7 +441,6 @@ def test_default_cluster_creation(mocker): ) default_config = ClusterConfiguration( name="unit-test-default-cluster", - image="quay.io/rhoai/ray:2.23.0-py39-cu121", appwrapper=True, ) cluster = Cluster(default_config) @@ -459,6 +456,61 @@ def test_default_cluster_creation(mocker): assert cluster.config.namespace == "opendatahub" +def test_cluster_creation_with_custom_image(mocker): + # With written resources + # Create Ray Cluster with local queue specified + mocker.patch("kubernetes.client.ApisApi.get_api_versions") + mocker.patch( + "kubernetes.client.CustomObjectsApi.get_cluster_custom_object", + return_value={"spec": {"domain": "apps.cluster.awsroute.org"}}, + ) + mocker.patch( + "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", + return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), + ) + mocker.patch("os.environ.get", return_value="test-prefix") + config = createClusterConfig() + config.name = "unit-test-cluster-custom-image" + config.appwrapper = False + config.image = "quay.io/project-codeflare/ray:2.20.0-py39-cu118" + config.local_queue = "local-queue-default" + config.labels = {"testlabel": "test", "testlabel2": "test"} + cluster = Cluster(config) + assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster-custom-image.yaml" + assert cluster.app_wrapper_name == "unit-test-cluster-custom-image" + assert filecmp.cmp( + f"{aw_dir}unit-test-cluster-custom-image.yaml", + f"{parent}/tests/test-case-custom-image.yaml", + shallow=True, + ) + # With resources loaded in memory + config = ClusterConfiguration( + name="unit-test-cluster-custom-image", + namespace="ns", + num_workers=2, + worker_cpu_requests=3, + worker_cpu_limits=4, + worker_memory_requests=5, + worker_memory_limits=6, + worker_extended_resource_requests={"nvidia.com/gpu": 7}, + machine_types=["cpu.small", "gpu.large"], + image_pull_secrets=["unit-test-pull-secret"], + image="quay.io/project-codeflare/ray:2.20.0-py39-cu118", + write_to_file=True, + appwrapper=False, + local_queue="local-queue-default", + labels={"testlabel": "test", "testlabel2": "test"}, + ) + cluster = Cluster(config) + assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster-custom-image.yaml" + assert cluster.app_wrapper_name == "unit-test-cluster-custom-image" + assert filecmp.cmp( + f"{aw_dir}unit-test-cluster-custom-image.yaml", + f"{parent}/tests/test-case-custom-image.yaml", + shallow=True, + ) + + def test_gen_names_with_name(mocker): mocker.patch.object( uuid, "uuid4", return_value=uuid.UUID("00000000-0000-0000-0000-000000000001") @@ -792,7 +844,6 @@ def test_ray_job_wrapping(mocker): return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), ) cluster = cluster = createClusterWithConfig(mocker) - cluster.config.image = "quay.io/rhoai/ray:2.23.0-py39-cu121" mocker.patch( "ray.job_submission.JobSubmissionClient._check_connection_and_version_with_url", return_value="None", @@ -910,7 +961,6 @@ def test_ray_details(mocker, capsys): ClusterConfiguration( name="raytest2", namespace="ns", - image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=True, appwrapper=True, local_queue="local_default_queue", @@ -2313,7 +2363,6 @@ def test_cluster_status(mocker): ClusterConfiguration( name="test", namespace="ns", - image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=True, appwrapper=True, local_queue="local_default_queue", @@ -2408,7 +2457,6 @@ def test_wait_ready(mocker, capsys): ClusterConfiguration( name="test", namespace="ns", - image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=True, appwrapper=True, local_queue="local-queue-default", @@ -2635,7 +2683,6 @@ def throw_if_getting_raycluster(group, version, namespace, plural): cluster = Cluster( ClusterConfiguration( "test_cluster", - image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=False, ) ) diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index 25e206c5..9fcdd5a5 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -17,7 +17,6 @@ def createClusterConfig(): appwrapper=True, machine_types=["cpu.small", "gpu.large"], image_pull_secrets=["unit-test-pull-secret"], - image="quay.io/rhoai/ray:2.23.0-py39-cu121", write_to_file=True, ) return config From f100ba16049677fb4feb904fc013158882fe347d Mon Sep 17 00:00:00 2001 From: Kevin Date: Fri, 19 Jul 2024 18:10:33 -0400 Subject: [PATCH 057/254] rm default namespace from demo notebooks Signed-off-by: Kevin --- .../additional-demos/hf_interactive.ipynb | 1039 ++++++----- .../additional-demos/local_interactive.ipynb | 7 +- .../additional-demos/ray_job_client.ipynb | 1 - demo-notebooks/guided-demos/0_basic_ray.ipynb | 1 - .../guided-demos/1_cluster_job_client.ipynb | 1 - .../guided-demos/2_basic_interactive.ipynb | 6 +- .../notebook-ex-outputs/0_basic_ray.ipynb | 45 +- .../1_cluster_job_client.ipynb | 1 - .../2_basic_interactive.ipynb | 1580 ++++++++--------- .../preview_nbs/0_basic_ray.ipynb | 1 - .../preview_nbs/1_cluster_job_client.ipynb | 1 - .../preview_nbs/2_basic_interactive.ipynb | 6 +- 12 files changed, 1337 insertions(+), 1352 deletions(-) diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb index ad552451..fe4cd429 100644 --- a/demo-notebooks/additional-demos/hf_interactive.ipynb +++ b/demo-notebooks/additional-demos/hf_interactive.ipynb @@ -90,7 +90,6 @@ "# Create our cluster and submit\n", "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(name='hfgputest', \n", - " namespace=\"default\", # Update to your namespace\n", " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=1,\n", " num_workers=1,\n", @@ -153,13 +152,13 @@ ], "text/plain": [ "╭─────────────────────────╮\n", - "│ \u001B[3m \u001B[0m\u001B[1;3m 🚀 List of CodeFlare\u001B[0m\u001B[3m \u001B[0m │\n", - "│ \u001B[3m \u001B[0m\u001B[1;3mclusters in queue🚀\u001B[0m\u001B[3m \u001B[0m │\n", + "│ \u001b[3m \u001b[0m\u001b[1;3m 🚀 List of CodeFlare\u001b[0m\u001b[3m \u001b[0m │\n", + "│ \u001b[3m \u001b[0m\u001b[1;3mclusters in queue🚀\u001b[0m\u001b[3m \u001b[0m │\n", "│ +-----------+---------+ │\n", - "│ |\u001B[1m \u001B[0m\u001B[1mName \u001B[0m\u001B[1m \u001B[0m|\u001B[1m \u001B[0m\u001B[1mStatus \u001B[0m\u001B[1m \u001B[0m| │\n", + "│ |\u001b[1m \u001b[0m\u001b[1mName \u001b[0m\u001b[1m \u001b[0m|\u001b[1m \u001b[0m\u001b[1mStatus \u001b[0m\u001b[1m \u001b[0m| │\n", "│ +===========+=========+ │\n", - "│ |\u001B[36m \u001B[0m\u001B[36mhfgputest\u001B[0m\u001B[36m \u001B[0m|\u001B[35m \u001B[0m\u001B[35mpending\u001B[0m\u001B[35m \u001B[0m| │\n", - "│ |\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m|\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m| │\n", + "│ |\u001b[36m \u001b[0m\u001b[36mhfgputest\u001b[0m\u001b[36m \u001b[0m|\u001b[35m \u001b[0m\u001b[35mpending\u001b[0m\u001b[35m \u001b[0m| │\n", + "│ |\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m|\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m| │\n", "│ +-----------+---------+ │\n", "╰─────────────────────────╯\n" ] @@ -240,22 +239,22 @@ "\n" ], "text/plain": [ - "\u001B[3m \u001B[0m\u001B[1;3m 🚀 List of CodeFlare clusters 🚀\u001B[0m\u001B[3m \u001B[0m\n", - "\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\n", + "\u001b[3m \u001b[0m\u001b[1;3m 🚀 List of CodeFlare clusters 🚀\u001b[0m\u001b[3m \u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\n", " ╭────────────────────────────────────────────────────────────────╮ \n", - " │ \u001B[1;37;42mOwner\u001B[0m │ \n", - " │ \u001B[1;4mhfgputest\u001B[0m Active ✅ │ \n", + " │ \u001b[1;37;42mOwner\u001b[0m │ \n", + " │ \u001b[1;4mhfgputest\u001b[0m Active ✅ │ \n", " │ │ \n", - " │ \u001B[1mURI:\u001B[0m ray://hfgputest-head-svc.default.svc:10001 │ \n", + " │ \u001b[1mURI:\u001b[0m ray://hfgputest-head-svc.default.svc:10001 │ \n", " │ │ \n", - " │ \u001B]8;id=552692;ray-dashboard-hfgputest-default.apps.prepfullinstall.psap.aws.rhperfscale.org\u001B\\\u001B[4;34mDashboard🔗\u001B[0m\u001B]8;;\u001B\\ │ \n", + " │ \u001b]8;id=552692;ray-dashboard-hfgputest-default.apps.prepfullinstall.psap.aws.rhperfscale.org\u001b\\\u001b[4;34mDashboard🔗\u001b[0m\u001b]8;;\u001b\\ │ \n", " │ │ \n", - " │ \u001B[3m Cluster Resources \u001B[0m │ \n", + " │ \u001b[3m Cluster Resources \u001b[0m │ \n", " │ ╭─ Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n", - " │ │ \u001B[1m \u001B[0m\u001B[1mMin\u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mMax\u001B[0m\u001B[1m \u001B[0m │ │ \u001B[1m \u001B[0m\u001B[1mMemory \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mCPU \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mGPU \u001B[0m\u001B[1m \u001B[0m │ │ \n", - " │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", - " │ │ \u001B[36m \u001B[0m\u001B[36m1 \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m1 \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m16G~16G \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m8 \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m4 \u001B[0m\u001B[35m \u001B[0m │ │ \n", - " │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", + " │ │ \u001b[1m \u001b[0m\u001b[1mMin\u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mMax\u001b[0m\u001b[1m \u001b[0m │ │ \u001b[1m \u001b[0m\u001b[1mMemory \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mCPU \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mGPU \u001b[0m\u001b[1m \u001b[0m │ │ \n", + " │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", + " │ │ \u001b[36m \u001b[0m\u001b[36m1 \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m1 \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m16G~16G \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m8 \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m4 \u001b[0m\u001b[35m \u001b[0m │ │ \n", + " │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", " │ ╰────────────╯ ╰──────────────────────────────────────╯ │ \n", " ╰────────────────────────────────────────────────────────────────╯ \n" ] @@ -469,7 +468,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Downloading and preparing dataset imdb/plain_text to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/2fdd8b9bcadd6e7055e742a706876ba43f19faee861df134affd7a3f60fc38a1...\n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Downloading and preparing dataset imdb/plain_text to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/2fdd8b9bcadd6e7055e742a706876ba43f19faee861df134affd7a3f60fc38a1...\n" ] }, { @@ -645,7 +644,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Dataset imdb downloaded and prepared to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/2fdd8b9bcadd6e7055e742a706876ba43f19faee861df134affd7a3f60fc38a1. Subsequent calls will reuse this data.\n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Dataset imdb downloaded and prepared to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/2fdd8b9bcadd6e7055e742a706876ba43f19faee861df134affd7a3f60fc38a1. Subsequent calls will reuse this data.\n" ] }, { @@ -767,13 +766,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m len of train Dataset({\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m num_rows: 100\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m }) and test Dataset({\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m num_rows: 100\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m })\n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m len of train Dataset({\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m num_rows: 100\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m }) and test Dataset({\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m num_rows: 100\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m })\n" ] }, { @@ -787,54 +786,54 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m To disable this warning, you can either:\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \t- Avoid using `tokenizers` before the fork if possible\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:55:58 (running for 00:00:05.07)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 6.4/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m To disable this warning, you can either:\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \t- Avoid using `tokenizers` before the fork if possible\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:55:58 (running for 00:00:05.07)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 6.4/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m 2022-11-04 07:56:02,047\tINFO torch.py:346 -- Setting up process group for: env:// [rank=0, world_size=4]\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m 2022-11-04 07:56:02,045\tINFO torch.py:346 -- Setting up process group for: env:// [rank=2, world_size=4]\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m 2022-11-04 07:56:02,047\tINFO torch.py:346 -- Setting up process group for: env:// [rank=1, world_size=4]\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m 2022-11-04 07:56:02,048\tINFO torch.py:346 -- Setting up process group for: env:// [rank=3, world_size=4]\n" + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m 2022-11-04 07:56:02,047\tINFO torch.py:346 -- Setting up process group for: env:// [rank=0, world_size=4]\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m 2022-11-04 07:56:02,045\tINFO torch.py:346 -- Setting up process group for: env:// [rank=2, world_size=4]\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m 2022-11-04 07:56:02,047\tINFO torch.py:346 -- Setting up process group for: env:// [rank=1, world_size=4]\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m 2022-11-04 07:56:02,048\tINFO torch.py:346 -- Setting up process group for: env:// [rank=3, world_size=4]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:03 (running for 00:00:10.07)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 7.2/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:03 (running for 00:00:10.07)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 7.2/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" ] }, { @@ -881,20 +880,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:08 (running for 00:00:15.07)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 7.5/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:08 (running for 00:00:15.07)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 7.5/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" ] }, { @@ -911,510 +910,510 @@ "Downloading: 95%|█████████▌| 255M/268M [00:04<00:00, 65.7MB/s]\n", "Downloading: 98%|█████████▊| 262M/268M [00:04<00:00, 65.8MB/s]\n", "Downloading: 100%|██████████| 268M/268M [00:04<00:00, 63.9MB/s]\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_transform.bias', 'vocab_layer_norm.weight', 'vocab_transform.weight', 'vocab_projector.weight']\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'classifier.bias', 'classifier.weight', 'pre_classifier.weight']\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_transform.weight', 'vocab_transform.bias', 'vocab_layer_norm.bias', 'vocab_projector.bias', 'vocab_projector.weight', 'vocab_layer_norm.weight']\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'pre_classifier.weight', 'pre_classifier.bias', 'classifier.weight']\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.weight', 'vocab_transform.weight', 'vocab_projector.bias', 'vocab_transform.bias', 'vocab_layer_norm.bias', 'vocab_layer_norm.weight']\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'pre_classifier.bias', 'pre_classifier.weight', 'classifier.weight']\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_layer_norm.weight', 'vocab_projector.weight', 'vocab_transform.weight', 'vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_transform.bias']\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight', 'pre_classifier.bias', 'pre_classifier.weight']\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m warnings.warn(\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m warnings.warn(\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m warnings.warn(\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m warnings.warn(\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m ***** Running training *****\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Num examples = 6250\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Num Epochs = 1\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Instantaneous batch size per device = 16\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Total train batch size (w. parallel, distributed & accumulation) = 64\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Gradient Accumulation steps = 1\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Total optimization steps = 391\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Number of trainable parameters = 66955010\n" + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_transform.bias', 'vocab_layer_norm.weight', 'vocab_transform.weight', 'vocab_projector.weight']\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['pre_classifier.bias', 'classifier.bias', 'classifier.weight', 'pre_classifier.weight']\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_transform.weight', 'vocab_transform.bias', 'vocab_layer_norm.bias', 'vocab_projector.bias', 'vocab_projector.weight', 'vocab_layer_norm.weight']\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'pre_classifier.weight', 'pre_classifier.bias', 'classifier.weight']\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_projector.weight', 'vocab_transform.weight', 'vocab_projector.bias', 'vocab_transform.bias', 'vocab_layer_norm.bias', 'vocab_layer_norm.weight']\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'pre_classifier.bias', 'pre_classifier.weight', 'classifier.weight']\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m Some weights of the model checkpoint at distilbert-base-uncased were not used when initializing DistilBertForSequenceClassification: ['vocab_layer_norm.weight', 'vocab_projector.weight', 'vocab_transform.weight', 'vocab_projector.bias', 'vocab_layer_norm.bias', 'vocab_transform.bias']\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m - This IS expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m - This IS NOT expected if you are initializing DistilBertForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m Some weights of DistilBertForSequenceClassification were not initialized from the model checkpoint at distilbert-base-uncased and are newly initialized: ['classifier.bias', 'classifier.weight', 'pre_classifier.bias', 'pre_classifier.weight']\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m warnings.warn(\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m warnings.warn(\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m warnings.warn(\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m /tmp/ray/session_2022-11-04_07-51-23_507232_7/runtime_resources/pip/4a36d7bd0bbff8fccea52f9c0d942dd63707933f/virtualenv/lib/python3.8/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m warnings.warn(\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m ***** Running training *****\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Num examples = 6250\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Num Epochs = 1\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Instantaneous batch size per device = 16\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Total train batch size (w. parallel, distributed & accumulation) = 64\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Gradient Accumulation steps = 1\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Total optimization steps = 391\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Number of trainable parameters = 66955010\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:13 (running for 00:00:20.08)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 12.3/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:13 (running for 00:00:20.08)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 12.3/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001B[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001B[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001B[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n" + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=184, ip=10.129.66.16)\u001b[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=183, ip=10.129.66.16)\u001b[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=185, ip=10.129.66.16)\u001b[0m [W reducer.cpp:1251] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:18 (running for 00:00:25.08)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:23 (running for 00:00:30.08)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:28 (running for 00:00:35.09)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:33 (running for 00:00:40.09)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:38 (running for 00:00:45.10)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:43 (running for 00:00:50.10)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:48 (running for 00:00:55.10)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:53 (running for 00:01:00.10)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:56:59 (running for 00:01:05.11)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:04 (running for 00:01:10.11)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:09 (running for 00:01:15.11)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:14 (running for 00:01:20.12)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:19 (running for 00:01:25.12)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:24 (running for 00:01:30.12)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:29 (running for 00:01:35.13)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:34 (running for 00:01:40.13)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:39 (running for 00:01:45.13)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:44 (running for 00:01:50.13)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:49 (running for 00:01:55.14)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:54 (running for 00:02:00.14)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:57:59 (running for 00:02:05.15)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 13.7/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:18 (running for 00:00:25.08)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:23 (running for 00:00:30.08)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:28 (running for 00:00:35.09)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:33 (running for 00:00:40.09)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:38 (running for 00:00:45.10)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:43 (running for 00:00:50.10)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:48 (running for 00:00:55.10)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:53 (running for 00:01:00.10)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:56:59 (running for 00:01:05.11)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:04 (running for 00:01:10.11)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:09 (running for 00:01:15.11)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:14 (running for 00:01:20.12)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:19 (running for 00:01:25.12)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:24 (running for 00:01:30.12)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:29 (running for 00:01:35.13)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:34 (running for 00:01:40.13)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:39 (running for 00:01:45.13)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:44 (running for 00:01:50.13)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:49 (running for 00:01:55.14)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:54 (running for 00:02:00.14)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:57:59 (running for 00:02:05.15)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 13.7/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Saving model checkpoint to /tmp/hf_imdb/test/checkpoint-391\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Configuration saved in /tmp/hf_imdb/test/checkpoint-391/config.json\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Model weights saved in /tmp/hf_imdb/test/checkpoint-391/pytorch_model.bin\n" + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Saving model checkpoint to /tmp/hf_imdb/test/checkpoint-391\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Configuration saved in /tmp/hf_imdb/test/checkpoint-391/config.json\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Model weights saved in /tmp/hf_imdb/test/checkpoint-391/pytorch_model.bin\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result for HuggingFaceTrainer_c7d60_00000:\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _time_this_iter_s: 118.07144260406494\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _timestamp: 1667573883\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _training_iteration: 1\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m date: 2022-11-04_07-58-03\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m done: false\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m epoch: 1.0\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m experiment_id: 7bc6ab25d0414fcbb589bcb5d0f29b99\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m hostname: hfgputest-worker-small-group-hfgputest-q4758\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m iterations_since_restore: 1\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m node_ip: 10.129.66.16\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m pid: 146\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m should_checkpoint: true\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m step: 391\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_since_restore: 124.55581378936768\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_this_iter_s: 124.55581378936768\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_total_s: 124.55581378936768\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m timestamp: 1667573883\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m timesteps_since_restore: 0\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_loss: 0.2760564701636429\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_runtime: 109.7668\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_samples_per_second: 56.939\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_steps_per_second: 3.562\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m training_iteration: 1\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m trial_id: c7d60_00000\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m warmup_time: 0.003995656967163086\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m {'train_runtime': 109.7668, 'train_samples_per_second': 56.939, 'train_steps_per_second': 3.562, 'train_loss': 0.2760564701636429, 'epoch': 1.0}\n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result for HuggingFaceTrainer_c7d60_00000:\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _time_this_iter_s: 118.07144260406494\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _timestamp: 1667573883\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _training_iteration: 1\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m date: 2022-11-04_07-58-03\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m done: false\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m epoch: 1.0\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m experiment_id: 7bc6ab25d0414fcbb589bcb5d0f29b99\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m hostname: hfgputest-worker-small-group-hfgputest-q4758\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m iterations_since_restore: 1\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m node_ip: 10.129.66.16\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m pid: 146\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m should_checkpoint: true\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m step: 391\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_since_restore: 124.55581378936768\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_this_iter_s: 124.55581378936768\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_total_s: 124.55581378936768\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m timestamp: 1667573883\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m timesteps_since_restore: 0\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_loss: 0.2760564701636429\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_runtime: 109.7668\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_samples_per_second: 56.939\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_steps_per_second: 3.562\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m training_iteration: 1\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m trial_id: c7d60_00000\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m warmup_time: 0.003995656967163086\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m {'train_runtime': 109.7668, 'train_samples_per_second': 56.939, 'train_steps_per_second': 3.562, 'train_loss': 0.2760564701636429, 'epoch': 1.0}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m \n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m \n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m Training completed. Do not forget to share your model on huggingface.co/models =)\n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m \n", - "\u001B[2m\u001B[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001B[0m \n" + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m \n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m \n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m Training completed. Do not forget to share your model on huggingface.co/models =)\n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m \n", + "\u001b[2m\u001b[36m(BaseWorkerMixin pid=182, ip=10.129.66.16)\u001b[0m \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:58:13 (running for 00:02:19.36)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 16.0/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc | iter | total time (s) | train_runtime | train_samples_per_second | train_steps_per_second |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 | 1 | 124.556 | 109.767 | 56.939 | 3.562 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:58:13 (running for 00:02:19.36)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 16.0/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 5.0/10 CPUs, 4.0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc | iter | total time (s) | train_runtime | train_samples_per_second | train_steps_per_second |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | RUNNING | 10.129.66.16:146 | 1 | 124.556 | 109.767 | 56.939 | 3.562 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+----------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m 2022-11-04 07:58:13,248\tWARNING util.py:214 -- The `process_trial_save` operation took 9.709 s, which may be a performance bottleneck.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m 2022-11-04 07:58:13,248\tWARNING trial_runner.py:856 -- Consider turning off forced head-worker trial checkpoint syncs by setting sync_on_checkpoint=False. Note that this may result in faulty trial restoration if a failure occurs while the checkpoint is being synced from the worker to the head node.\n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m 2022-11-04 07:58:13,248\tWARNING util.py:214 -- The `process_trial_save` operation took 9.709 s, which may be a performance bottleneck.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m 2022-11-04 07:58:13,248\tWARNING trial_runner.py:856 -- Consider turning off forced head-worker trial checkpoint syncs by setting sync_on_checkpoint=False. Note that this may result in faulty trial restoration if a failure occurs while the checkpoint is being synced from the worker to the head node.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result for HuggingFaceTrainer_c7d60_00000:\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _time_this_iter_s: 118.07144260406494\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _timestamp: 1667573883\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m _training_iteration: 1\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m date: 2022-11-04_07-58-03\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m done: true\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m epoch: 1.0\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m experiment_id: 7bc6ab25d0414fcbb589bcb5d0f29b99\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m experiment_tag: '0'\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m hostname: hfgputest-worker-small-group-hfgputest-q4758\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m iterations_since_restore: 1\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m node_ip: 10.129.66.16\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m pid: 146\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m should_checkpoint: true\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m step: 391\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_since_restore: 124.55581378936768\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_this_iter_s: 124.55581378936768\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m time_total_s: 124.55581378936768\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m timestamp: 1667573883\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m timesteps_since_restore: 0\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_loss: 0.2760564701636429\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_runtime: 109.7668\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_samples_per_second: 56.939\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m train_steps_per_second: 3.562\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m training_iteration: 1\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m trial_id: c7d60_00000\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m warmup_time: 0.003995656967163086\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Current time: 2022-11-04 07:58:16 (running for 00:02:22.40)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Memory usage on this node: 9.1/240.1 GiB\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Resources requested: 0/10 CPUs, 0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m Number of trials: 1/1 (1 TERMINATED)\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | Trial name | status | loc | iter | total time (s) | train_runtime | train_samples_per_second | train_steps_per_second |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m |--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m | HuggingFaceTrainer_c7d60_00000 | TERMINATED | 10.129.66.16:146 | 1 | 124.556 | 109.767 | 56.939 | 3.562 |\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m +--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m \n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result for HuggingFaceTrainer_c7d60_00000:\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _time_this_iter_s: 118.07144260406494\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _timestamp: 1667573883\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m _training_iteration: 1\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m date: 2022-11-04_07-58-03\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m done: true\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m epoch: 1.0\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m experiment_id: 7bc6ab25d0414fcbb589bcb5d0f29b99\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m experiment_tag: '0'\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m hostname: hfgputest-worker-small-group-hfgputest-q4758\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m iterations_since_restore: 1\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m node_ip: 10.129.66.16\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m pid: 146\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m should_checkpoint: true\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m step: 391\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_since_restore: 124.55581378936768\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_this_iter_s: 124.55581378936768\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m time_total_s: 124.55581378936768\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m timestamp: 1667573883\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m timesteps_since_restore: 0\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_loss: 0.2760564701636429\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_runtime: 109.7668\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_samples_per_second: 56.939\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m train_steps_per_second: 3.562\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m training_iteration: 1\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m trial_id: c7d60_00000\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m warmup_time: 0.003995656967163086\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Current time: 2022-11-04 07:58:16 (running for 00:02:22.40)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Memory usage on this node: 9.1/240.1 GiB\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Resources requested: 0/10 CPUs, 0/4 GPUs, 0.0/22.35 GiB heap, 0.0/6.59 GiB objects\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2022-11-04_07-55-53\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m Number of trials: 1/1 (1 TERMINATED)\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | Trial name | status | loc | iter | total time (s) | train_runtime | train_samples_per_second | train_steps_per_second |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m |--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m | HuggingFaceTrainer_c7d60_00000 | TERMINATED | 10.129.66.16:146 | 1 | 124.556 | 109.767 | 56.939 | 3.562 |\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m +--------------------------------+------------+------------------+--------+------------------+-----------------+----------------------------+--------------------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m 2022-11-04 07:58:16,286\tWARNING util.py:214 -- The `process_trial_save` operation took 2.161 s, which may be a performance bottleneck.\n", - "\u001B[2m\u001B[36m(train_fn pid=250)\u001B[0m 2022-11-04 07:58:16,398\tINFO tune.py:747 -- Total run time: 142.70 seconds (142.40 seconds for the tuning loop).\n" + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m 2022-11-04 07:58:16,286\tWARNING util.py:214 -- The `process_trial_save` operation took 2.161 s, which may be a performance bottleneck.\n", + "\u001b[2m\u001b[36m(train_fn pid=250)\u001b[0m 2022-11-04 07:58:16,398\tINFO tune.py:747 -- Total run time: 142.70 seconds (142.40 seconds for the tuning loop).\n" ] } ], diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb index 1d3c83ad..8ea08834 100644 --- a/demo-notebooks/additional-demos/local_interactive.ipynb +++ b/demo-notebooks/additional-demos/local_interactive.ipynb @@ -50,10 +50,9 @@ "source": [ "# Create and submit our cluster\n", "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", - "namespace = \"default\" # Update to your namespace\n", "cluster_name = \"hfgputest-1\"\n", "\n", - "cluster = Cluster(ClusterConfiguration(namespace=namespace,\n", + "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=0,\n", @@ -118,8 +117,8 @@ "source": [ "from codeflare_sdk import generate_cert\n", "\n", - "generate_cert.generate_tls_cert(cluster_name, namespace)\n", - "generate_cert.export_env(cluster_name, namespace)" + "generate_cert.generate_tls_cert(cluster_name, cluster.config.namespace)\n", + "generate_cert.export_env(cluster_name, cluster.config.namespace)" ] }, { diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb index c452fb31..4b9434bc 100644 --- a/demo-notebooks/additional-demos/ray_job_client.ipynb +++ b/demo-notebooks/additional-demos/ray_job_client.ipynb @@ -45,7 +45,6 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", - " namespace='default', # Update to your namespace\n", " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=0,\n", " num_workers=2,\n", diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb index 0cd3419f..3f0f62e4 100644 --- a/demo-notebooks/guided-demos/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb @@ -62,7 +62,6 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='raytest', \n", - " namespace='default', # Update to your namespace\n", " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=0,\n", " num_workers=2,\n", diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index de8fafdd..00576024 100644 --- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -44,7 +44,6 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", - " namespace='default', # Update to your namespace\n", " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=1,\n", " num_workers=2,\n", diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb index b6a13b8c..0692caa4 100644 --- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -57,11 +57,9 @@ "source": [ "# Create and configure our cluster object\n", "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", - "namespace = \"default\" # Update to your namespace\n", "cluster_name = \"interactivetest\"\n", "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", - " namespace=namespace,\n", " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=1,\n", " num_workers=2,\n", @@ -137,8 +135,8 @@ "source": [ "from codeflare_sdk import generate_cert\n", "# Create required TLS cert and export the environment variables to enable TLS\n", - "generate_cert.generate_tls_cert(cluster_name, namespace)\n", - "generate_cert.export_env(cluster_name, namespace)" + "generate_cert.generate_tls_cert(cluster_name, cluster.config.namespace)\n", + "generate_cert.export_env(cluster_name, cluster.config.namespace)" ] }, { diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb index 646e2424..8338ce74 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb @@ -70,7 +70,6 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='raytest',\n", - " namespace='default', # Update to your namespace\n", " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=0,\n", " num_workers=2,\n", @@ -134,13 +133,13 @@ ], "text/plain": [ "╭───────────────────────╮\n", - "│ \u001B[3m \u001B[0m\u001B[1;3m 🚀 Cluster Queue\u001B[0m\u001B[3m \u001B[0m │\n", - "│ \u001B[3m \u001B[0m\u001B[1;3mStatus 🚀\u001B[0m\u001B[3m \u001B[0m │\n", + "│ \u001b[3m \u001b[0m\u001b[1;3m 🚀 Cluster Queue\u001b[0m\u001b[3m \u001b[0m │\n", + "│ \u001b[3m \u001b[0m\u001b[1;3mStatus 🚀\u001b[0m\u001b[3m \u001b[0m │\n", "│ +---------+---------+ │\n", - "│ |\u001B[1m \u001B[0m\u001B[1mName \u001B[0m\u001B[1m \u001B[0m|\u001B[1m \u001B[0m\u001B[1mStatus \u001B[0m\u001B[1m \u001B[0m| │\n", + "│ |\u001b[1m \u001b[0m\u001b[1mName \u001b[0m\u001b[1m \u001b[0m|\u001b[1m \u001b[0m\u001b[1mStatus \u001b[0m\u001b[1m \u001b[0m| │\n", "│ +=========+=========+ │\n", - "│ |\u001B[36m \u001B[0m\u001B[36mraytest\u001B[0m\u001B[36m \u001B[0m|\u001B[35m \u001B[0m\u001B[35mpending\u001B[0m\u001B[35m \u001B[0m| │\n", - "│ |\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m|\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m| │\n", + "│ |\u001b[36m \u001b[0m\u001b[36mraytest\u001b[0m\u001b[36m \u001b[0m|\u001b[35m \u001b[0m\u001b[35mpending\u001b[0m\u001b[35m \u001b[0m| │\n", + "│ |\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m|\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m| │\n", "│ +---------+---------+ │\n", "╰───────────────────────╯\n" ] @@ -205,15 +204,15 @@ "\n" ], "text/plain": [ - "\u001B[3m \u001B[0m\u001B[1;3m 🚀 CodeFlare Cluster Status 🚀\u001B[0m\u001B[3m \u001B[0m\n", - "\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\n", + "\u001b[3m \u001b[0m\u001b[1;3m 🚀 CodeFlare Cluster Status 🚀\u001b[0m\u001b[3m \u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\n", " ╭──────────────────────────────────────────────────────────────╮ \n", - " │ \u001B[1;37;42mName\u001B[0m │ \n", - " │ \u001B[1;4mraytest\u001B[0m Active ✅ │ \n", + " │ \u001b[1;37;42mName\u001b[0m │ \n", + " │ \u001b[1;4mraytest\u001b[0m Active ✅ │ \n", " │ │ \n", - " │ \u001B[1mURI:\u001B[0m ray://raytest-head-svc.default.svc:10001 │ \n", + " │ \u001b[1mURI:\u001b[0m ray://raytest-head-svc.default.svc:10001 │ \n", " │ │ \n", - " │ \u001B]8;id=630217;ray-dashboard-raytest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001B\\\u001B[4;34mDashboard🔗\u001B[0m\u001B]8;;\u001B\\ │ \n", + " │ \u001b]8;id=630217;ray-dashboard-raytest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001b\\\u001b[4;34mDashboard🔗\u001b[0m\u001b]8;;\u001b\\ │ \n", " │ │ \n", " ╰──────────────────────────────────────────────────────────────╯ \n" ] @@ -274,22 +273,22 @@ "\n" ], "text/plain": [ - "\u001B[3m \u001B[0m\u001B[1;3m 🚀 CodeFlare Cluster Details 🚀\u001B[0m\u001B[3m \u001B[0m\n", - "\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\n", + "\u001b[3m \u001b[0m\u001b[1;3m 🚀 CodeFlare Cluster Details 🚀\u001b[0m\u001b[3m \u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\n", " ╭───────────────────────────────────────────────────────────────╮ \n", - " │ \u001B[1;37;42mName\u001B[0m │ \n", - " │ \u001B[1;4mraytest\u001B[0m Active ✅ │ \n", + " │ \u001b[1;37;42mName\u001b[0m │ \n", + " │ \u001b[1;4mraytest\u001b[0m Active ✅ │ \n", " │ │ \n", - " │ \u001B[1mURI:\u001B[0m ray://raytest-head-svc.default.svc:10001 │ \n", + " │ \u001b[1mURI:\u001b[0m ray://raytest-head-svc.default.svc:10001 │ \n", " │ │ \n", - " │ \u001B]8;id=623965;http://ray-dashboard-raytest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001B\\\u001B[4;34mDashboard🔗\u001B[0m\u001B]8;;\u001B\\ │ \n", + " │ \u001b]8;id=623965;http://ray-dashboard-raytest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001b\\\u001b[4;34mDashboard🔗\u001b[0m\u001b]8;;\u001b\\ │ \n", " │ │ \n", - " │ \u001B[3m Cluster Resources \u001B[0m │ \n", + " │ \u001b[3m Cluster Resources \u001b[0m │ \n", " │ ╭── Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n", - " │ │ \u001B[1m \u001B[0m\u001B[1m# Workers\u001B[0m\u001B[1m \u001B[0m │ │ \u001B[1m \u001B[0m\u001B[1mMemory \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mCPU \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mGPU \u001B[0m\u001B[1m \u001B[0m │ │ \n", - " │ │ \u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", - " │ │ \u001B[35m \u001B[0m\u001B[35m2 \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m4~4 \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m1 \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m0 \u001B[0m\u001B[35m \u001B[0m │ │ \n", - " │ │ \u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", + " │ │ \u001b[1m \u001b[0m\u001b[1m# Workers\u001b[0m\u001b[1m \u001b[0m │ │ \u001b[1m \u001b[0m\u001b[1mMemory \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mCPU \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mGPU \u001b[0m\u001b[1m \u001b[0m │ │ \n", + " │ │ \u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", + " │ │ \u001b[35m \u001b[0m\u001b[35m2 \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m4~4 \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m1 \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m0 \u001b[0m\u001b[35m \u001b[0m │ │ \n", + " │ │ \u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", " │ ╰─────────────╯ ╰──────────────────────────────────────╯ │ \n", " ╰───────────────────────────────────────────────────────────────╯ \n" ] diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb index b2e954e2..e354f36d 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb @@ -44,7 +44,6 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", - " namespace='default', # Update to your namespace\n", " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=1,\n", " num_workers=2,\n", diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb index 443ea063..4e28e53b 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb @@ -65,11 +65,9 @@ "source": [ "# Create and configure our cluster object\n", "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", - "namespace = \"default\" # Update to your namespace\n", "cluster_name = \"interactivetest\"\n", "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", - " namespace=namespace,\n", " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=1,\n", " num_workers=2,\n", @@ -134,22 +132,22 @@ "\n" ], "text/plain": [ - "\u001B[3m \u001B[0m\u001B[1;3m 🚀 CodeFlare Cluster Details 🚀\u001B[0m\u001B[3m \u001B[0m\n", - "\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\n", + "\u001b[3m \u001b[0m\u001b[1;3m 🚀 CodeFlare Cluster Details 🚀\u001b[0m\u001b[3m \u001b[0m\n", + "\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\n", " ╭──────────────────────────────────────────────────────────────────────╮ \n", - " │ \u001B[1;37;42mName\u001B[0m │ \n", - " │ \u001B[1;4minteractivetest\u001B[0m Active ✅ │ \n", + " │ \u001b[1;37;42mName\u001b[0m │ \n", + " │ \u001b[1;4minteractivetest\u001b[0m Active ✅ │ \n", " │ │ \n", - " │ \u001B[1mURI:\u001B[0m ray://interactivetest-head-svc.default.svc:10001 │ \n", + " │ \u001b[1mURI:\u001b[0m ray://interactivetest-head-svc.default.svc:10001 │ \n", " │ │ \n", - " │ \u001B]8;id=970589;http://ray-dashboard-interactivetest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001B\\\u001B[4;34mDashboard🔗\u001B[0m\u001B]8;;\u001B\\ │ \n", + " │ \u001b]8;id=970589;http://ray-dashboard-interactivetest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\u001b\\\u001b[4;34mDashboard🔗\u001b[0m\u001b]8;;\u001b\\ │ \n", " │ │ \n", - " │ \u001B[3m Cluster Resources \u001B[0m │ \n", + " │ \u001b[3m Cluster Resources \u001b[0m │ \n", " │ ╭── Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n", - " │ │ \u001B[1m \u001B[0m\u001B[1m# Workers\u001B[0m\u001B[1m \u001B[0m │ │ \u001B[1m \u001B[0m\u001B[1mMemory \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mCPU \u001B[0m\u001B[1m \u001B[0m\u001B[1m \u001B[0m\u001B[1mGPU \u001B[0m\u001B[1m \u001B[0m │ │ \n", - " │ │ \u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", - " │ │ \u001B[35m \u001B[0m\u001B[35m2 \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m8~8 \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m2 \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m1 \u001B[0m\u001B[35m \u001B[0m │ │ \n", - " │ │ \u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[36m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m\u001B[35m \u001B[0m │ │ \n", + " │ │ \u001b[1m \u001b[0m\u001b[1m# Workers\u001b[0m\u001b[1m \u001b[0m │ │ \u001b[1m \u001b[0m\u001b[1mMemory \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mCPU \u001b[0m\u001b[1m \u001b[0m\u001b[1m \u001b[0m\u001b[1mGPU \u001b[0m\u001b[1m \u001b[0m │ │ \n", + " │ │ \u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", + " │ │ \u001b[35m \u001b[0m\u001b[35m2 \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m8~8 \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m2 \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m1 \u001b[0m\u001b[35m \u001b[0m │ │ \n", + " │ │ \u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", " │ ╰─────────────╯ ╰──────────────────────────────────────╯ │ \n", " ╰──────────────────────────────────────────────────────────────────────╯ \n" ] @@ -221,8 +219,8 @@ "source": [ "from codeflare_sdk import generate_cert\n", "# Create required TLS cert and export the environment variables to enable TLS\n", - "generate_cert.generate_tls_cert(cluster_name, namespace)\n", - "generate_cert.export_env(cluster_name, namespace)" + "generate_cert.generate_tls_cert(cluster_name, cluster.config.namespace)\n", + "generate_cert.export_env(cluster_name, cluster.config.namespace)" ] }, { @@ -381,7 +379,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Downloading and preparing dataset imdb/plain_text to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/d613c88cf8fa3bab83b4ded3713f1f74830d1100e171db75bbddb80b3345c9c0...\n" + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Downloading and preparing dataset imdb/plain_text to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/d613c88cf8fa3bab83b4ded3713f1f74830d1100e171db75bbddb80b3345c9c0...\n" ] }, { @@ -494,7 +492,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Dataset imdb downloaded and prepared to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/d613c88cf8fa3bab83b4ded3713f1f74830d1100e171db75bbddb80b3345c9c0. Subsequent calls will reuse this data.\n" + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Dataset imdb downloaded and prepared to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/d613c88cf8fa3bab83b4ded3713f1f74830d1100e171db75bbddb80b3345c9c0. Subsequent calls will reuse this data.\n" ] }, { @@ -613,13 +611,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m len of train Dataset({\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m num_rows: 100\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m }) and test Dataset({\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m num_rows: 100\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m })\n" + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m len of train Dataset({\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m num_rows: 100\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m }) and test Dataset({\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m features: ['text', 'label', 'input_ids', 'attention_mask'],\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m num_rows: 100\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m })\n" ] }, { @@ -627,106 +625,106 @@ "output_type": "stream", "text": [ " \n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m 2023-08-09 14:51:50,865\tWARNING dataset.py:253 -- \u001B[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001B[0m\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m /tmp/ipykernel_265/307576807.py:57: DeprecationWarning: `HuggingFaceTrainer`, `HuggingFacePredictor` and `HuggingFaceCheckpoint` have been renamed to `TransformersTrainer`, `TransformersPredictor` and `TransformersCheckpoint` respectively. Update your code to use the new import paths. This will raise an exception in the future.\n" + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m 2023-08-09 14:51:50,865\tWARNING dataset.py:253 -- \u001b[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001b[0m\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m /tmp/ipykernel_265/307576807.py:57: DeprecationWarning: `HuggingFaceTrainer`, `HuggingFacePredictor` and `HuggingFaceCheckpoint` have been renamed to `TransformersTrainer`, `TransformersPredictor` and `TransformersCheckpoint` respectively. Update your code to use the new import paths. This will raise an exception in the future.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m To disable this warning, you can either:\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \t- Avoid using `tokenizers` before the fork if possible\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Current time: 2023-08-09 14:51:51 (running for 00:00:00.12)\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Logical resource usage: 0/6 CPUs, 0/2 GPUs\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Number of trials: 1/1 (1 PENDING)\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-------+\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m |--------------------------------+----------+-------|\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | HuggingFaceTrainer_f2621_00000 | PENDING | |\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-------+\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n" + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m To disable this warning, you can either:\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \t- Avoid using `tokenizers` before the fork if possible\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Current time: 2023-08-09 14:51:51 (running for 00:00:00.12)\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Logical resource usage: 0/6 CPUs, 0/2 GPUs\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Number of trials: 1/1 (1 PENDING)\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-------+\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m |--------------------------------+----------+-------|\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | HuggingFaceTrainer_f2621_00000 | PENDING | |\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-------+\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:55,978\tWARNING dataset.py:253 -- \u001B[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n", - "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m \n", - "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001B[0m\n" + "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:55,978\tWARNING dataset.py:253 -- \u001b[33mImportant: Ray Data requires schemas for all datasets in Ray 2.5. This means that standalone Python objects are no longer supported. In addition, the default batch format is fixed to NumPy. To revert to legacy behavior temporarily, set the environment variable RAY_DATA_STRICT_MODE=0 on all cluster processes.\n", + "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m \n", + "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m Learn more here: https://docs.ray.io/en/master/data/faq.html#migrating-to-strict-mode\u001b[0m\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Current time: 2023-08-09 14:51:56 (running for 00:00:05.16)\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Logical resource usage: 1.0/6 CPUs, 2.0/2 GPUs\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-----------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m |--------------------------------+----------+-----------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | HuggingFaceTrainer_f2621_00000 | RUNNING | 10.130.4.19:196 |\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-----------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n" + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Current time: 2023-08-09 14:51:56 (running for 00:00:05.16)\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Logical resource usage: 1.0/6 CPUs, 2.0/2 GPUs\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-----------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m |--------------------------------+----------+-----------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | HuggingFaceTrainer_f2621_00000 | RUNNING | 10.130.4.19:196 |\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-----------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:57,260\tINFO backend_executor.py:137 -- Starting distributed worker processes: ['235 (10.130.4.19)', '232 (10.129.4.19)']\n", - "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:58,957\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", - "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:58,957\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:58,958\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001B[2m\u001B[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:58,969\tINFO streaming_executor.py:149 -- Shutting down .\n", - "\u001B[2m\u001B[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001B[0m 2023-08-09 14:51:58,912\tINFO config.py:86 -- Setting up process group for: env:// [rank=0, world_size=2]\n" + "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:57,260\tINFO backend_executor.py:137 -- Starting distributed worker processes: ['235 (10.130.4.19)', '232 (10.129.4.19)']\n", + "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,957\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", + "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,957\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", + "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,958\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", + "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,969\tINFO streaming_executor.py:149 -- Shutting down .\n", + "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,912\tINFO config.py:86 -- Setting up process group for: env:// [rank=0, world_size=2]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m == Status ==\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Current time: 2023-08-09 14:52:01 (running for 00:00:10.18)\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Using FIFO scheduling algorithm.\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Logical resource usage: 1.0/6 CPUs, 2.0/2 GPUs\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-----------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | Trial name | status | loc |\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m |--------------------------------+----------+-----------------|\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m | HuggingFaceTrainer_f2621_00000 | RUNNING | 10.130.4.19:196 |\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m +--------------------------------+----------+-----------------+\n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n", - "\u001B[2m\u001B[36m(train_fn pid=425)\u001B[0m \n" + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m == Status ==\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Current time: 2023-08-09 14:52:01 (running for 00:00:10.18)\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Using FIFO scheduling algorithm.\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Logical resource usage: 1.0/6 CPUs, 2.0/2 GPUs\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-----------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | Trial name | status | loc |\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m |--------------------------------+----------+-----------------|\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | HuggingFaceTrainer_f2621_00000 | RUNNING | 10.130.4.19:196 |\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-----------------+\n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n", + "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\u001B[2m\u001B[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001B[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", - "\u001B[2m\u001B[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001B[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001B[2m\u001B[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001B[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001B[2m\u001B[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001B[0m 2023-08-09 14:52:01,274\tINFO streaming_executor.py:149 -- Shutting down .\n", - "\u001B[2m\u001B[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001B[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", - "\u001B[2m\u001B[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001B[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001B[2m\u001B[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001B[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001B[2m\u001B[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001B[0m 2023-08-09 14:52:01,263\tINFO streaming_executor.py:149 -- Shutting down .\n", + "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", + "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", + "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", + "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,274\tINFO streaming_executor.py:149 -- Shutting down .\n", + "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", + "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", + "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", + "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,263\tINFO streaming_executor.py:149 -- Shutting down .\n", "Downloading (…)lve/main/config.json: 100%|██████████| 483/483 [00:00<00:00, 151kB/s]\n", "Downloading (…)lve/main/config.json: 100%|██████████| 483/483 [00:00<00:00, 146kB/s]\n", "Downloading model.safetensors: 0%| | 0.00/268M [00:00 Date: Thu, 25 Jul 2024 11:27:25 +0100 Subject: [PATCH 058/254] adding tls cert creation and updating num workers in hf notebook --- .../additional-demos/hf_interactive.ipynb | 26 +++++++++++++++++-- 1 file changed, 24 insertions(+), 2 deletions(-) diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb index fe4cd429..1c9f7cd1 100644 --- a/demo-notebooks/additional-demos/hf_interactive.ipynb +++ b/demo-notebooks/additional-demos/hf_interactive.ipynb @@ -89,7 +89,8 @@ "source": [ "# Create our cluster and submit\n", "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", - "cluster = Cluster(ClusterConfiguration(name='hfgputest', \n", + "cluster_name= \"hfgputest\"\n", + "cluster = Cluster(ClusterConfiguration(name=cluster_name, \n", " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=1,\n", " num_workers=1,\n", @@ -287,6 +288,27 @@ "ray_cluster_uri = cluster.cluster_uri()" ] }, + { + "cell_type": "markdown", + "id": "64d65c3c", + "metadata": {}, + "source": [ + "Now we can connect directly to our Ray cluster via the Ray python client:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "60276d86", + "metadata": {}, + "outputs": [], + "source": [ + "from codeflare_sdk import generate_cert\n", + "# Create required TLS cert and export the environment variables to enable TLS\n", + "generate_cert.generate_tls_cert(cluster_name, cluster.config.namespace)\n", + "generate_cert.export_env(cluster_name, cluster.config.namespace)" + ] + }, { "cell_type": "markdown", "id": "44dba6a0-8275-4726-8911-6b6ec467b6a3", @@ -432,7 +454,7 @@ "\n", " ray_trainer = TorchTrainer(\n", " train_func,\n", - " scaling_config=ScalingConfig(num_workers=3, use_gpu=True),\n", + " scaling_config=ScalingConfig(num_workers=2, use_gpu=True),\n", " # Configure persistent storage that is accessible across \n", " # all worker nodes.\n", " # Uncomment and update the RunConfig below to include your storage details.\n", From ecf04c32d5816fb5005793ebe5d411a7d5a7feb7 Mon Sep 17 00:00:00 2001 From: Karel Suta Date: Thu, 18 Jul 2024 11:16:50 +0200 Subject: [PATCH 059/254] Run PR check for guided notebooks --- .../resources/minio_remote_config_cell.json | 20 + .github/resources/wait_for_job_cell.json | 20 + .github/workflows/guided_notebook_tests.yaml | 381 ++++++++++++++++++ demo-notebooks/guided-demos/0_basic_ray.ipynb | 4 +- .../guided-demos/1_cluster_job_client.ipynb | 4 +- .../guided-demos/2_basic_interactive.ipynb | 22 +- demo-notebooks/guided-demos/mnist_fashion.py | 12 +- tests/e2e/minio_deployment.yaml | 37 +- 8 files changed, 455 insertions(+), 45 deletions(-) create mode 100644 .github/resources/minio_remote_config_cell.json create mode 100644 .github/resources/wait_for_job_cell.json create mode 100644 .github/workflows/guided_notebook_tests.yaml diff --git a/.github/resources/minio_remote_config_cell.json b/.github/resources/minio_remote_config_cell.json new file mode 100644 index 00000000..e36c4b18 --- /dev/null +++ b/.github/resources/minio_remote_config_cell.json @@ -0,0 +1,20 @@ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "@ray.remote\n", + "def get_minio_run_config():\n", + " import s3fs\n", + " import pyarrow\n", + " s3_fs = s3fs.S3FileSystem(\n", + " key = \"minio\",\n", + " secret = \"minio123\",\n", + " endpoint_url = \"http://minio-service.default.svc.cluster.local:9000\"\n", + " )\n", + " custom_fs = pyarrow.fs.PyFileSystem(pyarrow.fs.FSSpecHandler(s3_fs))\n", + " run_config = ray.train.RunConfig(storage_path='training', storage_filesystem=custom_fs)\n", + " return run_config" + ] + } diff --git a/.github/resources/wait_for_job_cell.json b/.github/resources/wait_for_job_cell.json new file mode 100644 index 00000000..eb8805bd --- /dev/null +++ b/.github/resources/wait_for_job_cell.json @@ -0,0 +1,20 @@ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from time import sleep\n", + "\n", + "finished = False\n", + "while not finished:\n", + " sleep(5)\n", + " status = client.get_job_status(submission_id)\n", + " finished = (status == \"SUCCEEDED\" or status == \"FAILED\" or status == \"STOPPED\")\n", + " print(status)\n", + "print(\"Job status \" + status)\n", + "print(\"Logs: \")\n", + "print(client.get_job_logs(submission_id))\n", + "assert status == \"SUCCEEDED\", \"Job failed or was stopped!\"" + ] + } diff --git a/.github/workflows/guided_notebook_tests.yaml b/.github/workflows/guided_notebook_tests.yaml new file mode 100644 index 00000000..299c67ef --- /dev/null +++ b/.github/workflows/guided_notebook_tests.yaml @@ -0,0 +1,381 @@ +name: Guided notebooks tests + +on: + pull_request: + types: [ labeled ] + +concurrency: + group: ${{ github.head_ref }}-${{ github.workflow }} + cancel-in-progress: true + +env: + CODEFLARE_OPERATOR_IMG: "quay.io/project-codeflare/codeflare-operator:dev" + +jobs: + verify-0_basic_ray: + if: ${{ github.event.label.name == 'test-guided-notebooks' }} + runs-on: ubuntu-20.04-4core + + steps: + - name: Checkout code + uses: actions/checkout@v4 + with: + submodules: recursive + + - name: Checkout common repo code + uses: actions/checkout@v4 + with: + repository: 'project-codeflare/codeflare-common' + ref: 'main' + path: 'common' + + - name: Checkout CodeFlare operator repository + uses: actions/checkout@v4 + with: + repository: project-codeflare/codeflare-operator + path: codeflare-operator + + - name: Set Go + uses: actions/setup-go@v5 + with: + go-version-file: './codeflare-operator/go.mod' + cache-dependency-path: "./codeflare-operator/go.sum" + + - name: Set up gotestfmt + uses: gotesttools/gotestfmt-action@v2 + with: + token: ${{ secrets.GITHUB_TOKEN }} + + - name: Set up specific Python version + uses: actions/setup-python@v5 + with: + python-version: '3.9' + cache: 'pip' # caching pip dependencies + + - name: Setup and start KinD cluster + uses: ./common/github-actions/kind + + - name: Deploy CodeFlare stack + id: deploy + run: | + cd codeflare-operator + echo Setting up CodeFlare stack + make setup-e2e + echo Deploying CodeFlare operator + make deploy -e IMG="${CODEFLARE_OPERATOR_IMG}" -e ENV="e2e" + kubectl wait --timeout=120s --for=condition=Available=true deployment -n openshift-operators codeflare-operator-manager + cd .. + + - name: Setup Guided notebooks execution + run: | + echo "Installing papermill and dependencies..." + pip install poetry papermill ipython ipykernel + # Disable virtualenv due to problems using packaged in virtualenv in papermill + poetry config virtualenvs.create false + + echo "Installing SDK..." + poetry install --with test,docs + + - name: Run 0_basic_ray.ipynb + run: | + set -euo pipefail + + # Remove login/logout cells, as KinD doesn't support authentication using token + jq -r 'del(.cells[] | select(.source[] | contains("Create authentication object for user permissions")))' 0_basic_ray.ipynb > 0_basic_ray.ipynb.tmp && mv 0_basic_ray.ipynb.tmp 0_basic_ray.ipynb + jq -r 'del(.cells[] | select(.source[] | contains("auth.logout()")))' 0_basic_ray.ipynb > 0_basic_ray.ipynb.tmp && mv 0_basic_ray.ipynb.tmp 0_basic_ray.ipynb + # Set explicit namespace as SDK need it (currently) to resolve local queues + sed -i "s/head_memory=2,/head_memory=2, namespace='default',/" 0_basic_ray.ipynb + # Run notebook + poetry run papermill 0_basic_ray.ipynb 0_basic_ray_out.ipynb --log-output --execution-timeout 600 + working-directory: demo-notebooks/guided-demos + + - name: Print CodeFlare operator logs + if: always() && steps.deploy.outcome == 'success' + run: | + echo "Printing CodeFlare operator logs" + kubectl logs -n openshift-operators --tail -1 -l app.kubernetes.io/name=codeflare-operator | tee ${TEMP_DIR}/codeflare-operator.log + + - name: Print Kueue operator logs + if: always() && steps.deploy.outcome == 'success' + run: | + echo "Printing Kueue operator logs" + KUEUE_CONTROLLER_POD=$(kubectl get pods -n kueue-system | grep kueue-controller | awk '{print $1}') + kubectl logs -n kueue-system --tail -1 ${KUEUE_CONTROLLER_POD} | tee ${TEMP_DIR}/kueue.log + + - name: Print KubeRay operator logs + if: always() && steps.deploy.outcome == 'success' + run: | + echo "Printing KubeRay operator logs" + kubectl logs -n ray-system --tail -1 -l app.kubernetes.io/name=kuberay | tee ${TEMP_DIR}/kuberay.log + + - name: Export all KinD pod logs + uses: ./common/github-actions/kind-export-logs + if: always() && steps.deploy.outcome == 'success' + with: + output-directory: ${TEMP_DIR} + + - name: Upload logs + uses: actions/upload-artifact@v4 + if: always() && steps.deploy.outcome == 'success' + with: + name: logs-0_basic_ray + retention-days: 10 + path: | + ${{ env.TEMP_DIR }}/**/*.log + + verify-1_cluster_job_client: + if: ${{ github.event.label.name == 'test-guided-notebooks' }} + runs-on: ubuntu-20.04-4core-gpu + + steps: + - name: Checkout code + uses: actions/checkout@v4 + with: + submodules: recursive + + - name: Checkout common repo code + uses: actions/checkout@v4 + with: + repository: 'project-codeflare/codeflare-common' + ref: 'main' + path: 'common' + + - name: Checkout CodeFlare operator repository + uses: actions/checkout@v4 + with: + repository: project-codeflare/codeflare-operator + path: codeflare-operator + + - name: Set Go + uses: actions/setup-go@v5 + with: + go-version-file: './codeflare-operator/go.mod' + cache-dependency-path: "./codeflare-operator/go.sum" + + - name: Set up gotestfmt + uses: gotesttools/gotestfmt-action@v2 + with: + token: ${{ secrets.GITHUB_TOKEN }} + + - name: Set up specific Python version + uses: actions/setup-python@v5 + with: + python-version: '3.9' + cache: 'pip' # caching pip dependencies + + - name: Setup NVidia GPU environment for KinD + uses: ./common/github-actions/nvidia-gpu-setup + + - name: Setup and start KinD cluster + uses: ./common/github-actions/kind + + - name: Install NVidia GPU operator for KinD + uses: ./common/github-actions/nvidia-gpu-operator + with: + enable-time-slicing: 'true' + + - name: Deploy CodeFlare stack + id: deploy + run: | + cd codeflare-operator + echo Setting up CodeFlare stack + make setup-e2e + echo Deploying CodeFlare operator + make deploy -e IMG="${CODEFLARE_OPERATOR_IMG}" -e ENV="e2e" + kubectl wait --timeout=120s --for=condition=Available=true deployment -n openshift-operators codeflare-operator-manager + cd .. + + - name: Setup Guided notebooks execution + run: | + echo "Installing papermill and dependencies..." + pip install poetry papermill ipython ipykernel + # Disable virtualenv due to problems using packaged in virtualenv in papermill + poetry config virtualenvs.create false + + echo "Installing SDK..." + poetry install --with test,docs + + - name: Run 1_cluster_job_client.ipynb + run: | + set -euo pipefail + + # Remove login/logout cells, as KinD doesn't support authentication using token + jq -r 'del(.cells[] | select(.source[] | contains("Create authentication object for user permissions")))' 1_cluster_job_client.ipynb > 1_cluster_job_client.ipynb.tmp && mv 1_cluster_job_client.ipynb.tmp 1_cluster_job_client.ipynb + jq -r 'del(.cells[] | select(.source[] | contains("auth.logout()")))' 1_cluster_job_client.ipynb > 1_cluster_job_client.ipynb.tmp && mv 1_cluster_job_client.ipynb.tmp 1_cluster_job_client.ipynb + # Replace async logs with waiting for job to finish, async logs don't work properly in papermill + JOB_WAIT=$(jq -r '.' ${GITHUB_WORKSPACE}/.github/resources/wait_for_job_cell.json) + jq --argjson job_wait "$JOB_WAIT" -r '(.cells[] | select(.source[] | contains("async for lines in client.tail_job_logs"))) |= $job_wait' 1_cluster_job_client.ipynb > 1_cluster_job_client.ipynb.tmp && mv 1_cluster_job_client.ipynb.tmp 1_cluster_job_client.ipynb + # Set explicit namespace as SDK need it (currently) to resolve local queues + sed -i "s/head_cpus=1,/head_cpus=1, namespace='default',/" 1_cluster_job_client.ipynb + # Run notebook + poetry run papermill 1_cluster_job_client.ipynb 1_cluster_job_client_out.ipynb --log-output --execution-timeout 1200 + working-directory: demo-notebooks/guided-demos + + - name: Print CodeFlare operator logs + if: always() && steps.deploy.outcome == 'success' + run: | + echo "Printing CodeFlare operator logs" + kubectl logs -n openshift-operators --tail -1 -l app.kubernetes.io/name=codeflare-operator | tee ${TEMP_DIR}/codeflare-operator.log + + - name: Print Kueue operator logs + if: always() && steps.deploy.outcome == 'success' + run: | + echo "Printing Kueue operator logs" + KUEUE_CONTROLLER_POD=$(kubectl get pods -n kueue-system | grep kueue-controller | awk '{print $1}') + kubectl logs -n kueue-system --tail -1 ${KUEUE_CONTROLLER_POD} | tee ${TEMP_DIR}/kueue.log + + - name: Print KubeRay operator logs + if: always() && steps.deploy.outcome == 'success' + run: | + echo "Printing KubeRay operator logs" + kubectl logs -n ray-system --tail -1 -l app.kubernetes.io/name=kuberay | tee ${TEMP_DIR}/kuberay.log + + - name: Export all KinD pod logs + uses: ./common/github-actions/kind-export-logs + if: always() && steps.deploy.outcome == 'success' + with: + output-directory: ${TEMP_DIR} + + - name: Upload logs + uses: actions/upload-artifact@v4 + if: always() && steps.deploy.outcome == 'success' + with: + name: logs-1_cluster_job_client + retention-days: 10 + path: | + ${{ env.TEMP_DIR }}/**/*.log + + verify-2_basic_interactive: + if: ${{ github.event.label.name == 'test-guided-notebooks' }} + runs-on: ubuntu-20.04-4core-gpu + + steps: + - name: Checkout code + uses: actions/checkout@v4 + with: + submodules: recursive + + - name: Checkout common repo code + uses: actions/checkout@v4 + with: + repository: 'project-codeflare/codeflare-common' + ref: 'main' + path: 'common' + + - name: Checkout CodeFlare operator repository + uses: actions/checkout@v4 + with: + repository: project-codeflare/codeflare-operator + path: codeflare-operator + + - name: Set Go + uses: actions/setup-go@v5 + with: + go-version-file: './codeflare-operator/go.mod' + cache-dependency-path: "./codeflare-operator/go.sum" + + - name: Set up gotestfmt + uses: gotesttools/gotestfmt-action@v2 + with: + token: ${{ secrets.GITHUB_TOKEN }} + + - name: Set up specific Python version + uses: actions/setup-python@v5 + with: + python-version: '3.9' + cache: 'pip' # caching pip dependencies + + - name: Setup NVidia GPU environment for KinD + uses: ./common/github-actions/nvidia-gpu-setup + + - name: Setup and start KinD cluster + uses: ./common/github-actions/kind + + - name: Install NVidia GPU operator for KinD + uses: ./common/github-actions/nvidia-gpu-operator + with: + enable-time-slicing: 'true' + + - name: Deploy CodeFlare stack + id: deploy + run: | + cd codeflare-operator + echo Setting up CodeFlare stack + make setup-e2e + echo Deploying CodeFlare operator + make deploy -e IMG="${CODEFLARE_OPERATOR_IMG}" -e ENV="e2e" + kubectl wait --timeout=120s --for=condition=Available=true deployment -n openshift-operators codeflare-operator-manager + cd .. + + - name: Install MINIO + run: | + kubectl apply -f ./tests/e2e/minio_deployment.yaml + kubectl wait --timeout=120s --for=condition=Available=true deployment -n default minio + + - name: Setup Guided notebooks execution + run: | + echo "Installing papermill and dependencies..." + pip install poetry papermill ipython ipykernel + # Disable virtualenv due to problems using packaged in virtualenv in papermill + poetry config virtualenvs.create false + + echo "Installing SDK..." + poetry install --with test,docs + + - name: Run 2_basic_interactive.ipynb + run: | + set -euo pipefail + + # Remove login/logout cells, as KinD doesn't support authentication using token + jq -r 'del(.cells[] | select(.source[] | contains("Create authentication object for user permissions")))' 2_basic_interactive.ipynb > 2_basic_interactive.ipynb.tmp && mv 2_basic_interactive.ipynb.tmp 2_basic_interactive.ipynb + jq -r 'del(.cells[] | select(.source[] | contains("auth.logout()")))' 2_basic_interactive.ipynb > 2_basic_interactive.ipynb.tmp && mv 2_basic_interactive.ipynb.tmp 2_basic_interactive.ipynb + # Rewrite cluster_uri() to local_client_url() to retrieve client URL available out of cluster, as the test is executed outside of cluster + sed -i "s/cluster_uri()/local_client_url()/" 2_basic_interactive.ipynb + # Set explicit namespace as SDK need it (currently) to resolve local queues + sed -i "s/head_cpus=1,/head_cpus=1, namespace='default',/" 2_basic_interactive.ipynb + # Add MINIO related modules to runtime environment + sed -i "s/\\\\\"transformers/\\\\\"s3fs\\\\\", \\\\\"pyarrow\\\\\", \\\\\"transformers/" 2_basic_interactive.ipynb + # Replace markdown cell with remote configuration for MINIO + MINIO_CONFIG=$(jq -r '.' ${GITHUB_WORKSPACE}/.github/resources/minio_remote_config_cell.json) + jq --argjson minio_config "$MINIO_CONFIG" -r '(.cells[] | select(.source[] | contains("Now that we are connected"))) |= $minio_config' 2_basic_interactive.ipynb > 2_basic_interactive.ipynb.tmp && mv 2_basic_interactive.ipynb.tmp 2_basic_interactive.ipynb + # Configure persistent storage for Ray trainer + sed -i -E "s/# run_config.*\)/, run_config=ray.get(get_minio_run_config.remote())/" 2_basic_interactive.ipynb + # Run notebook + poetry run papermill 2_basic_interactive.ipynb 2_basic_interactive_out.ipynb --log-output --execution-timeout 1200 + env: + GRPC_DNS_RESOLVER: "native" + working-directory: demo-notebooks/guided-demos + + - name: Print CodeFlare operator logs + if: always() && steps.deploy.outcome == 'success' + run: | + echo "Printing CodeFlare operator logs" + kubectl logs -n openshift-operators --tail -1 -l app.kubernetes.io/name=codeflare-operator | tee ${TEMP_DIR}/codeflare-operator.log + + - name: Print Kueue operator logs + if: always() && steps.deploy.outcome == 'success' + run: | + echo "Printing Kueue operator logs" + KUEUE_CONTROLLER_POD=$(kubectl get pods -n kueue-system | grep kueue-controller | awk '{print $1}') + kubectl logs -n kueue-system --tail -1 ${KUEUE_CONTROLLER_POD} | tee ${TEMP_DIR}/kueue.log + + - name: Print KubeRay operator logs + if: always() && steps.deploy.outcome == 'success' + run: | + echo "Printing KubeRay operator logs" + kubectl logs -n ray-system --tail -1 -l app.kubernetes.io/name=kuberay | tee ${TEMP_DIR}/kuberay.log + + - name: Export all KinD pod logs + uses: ./common/github-actions/kind-export-logs + if: always() && steps.deploy.outcome == 'success' + with: + output-directory: ${TEMP_DIR} + + - name: Upload logs + uses: actions/upload-artifact@v4 + if: always() && steps.deploy.outcome == 'success' + with: + name: logs-2_basic_interactive + retention-days: 10 + path: | + ${{ env.TEMP_DIR }}/**/*.log diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb index 3f0f62e4..11f3a3b2 100644 --- a/demo-notebooks/guided-demos/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb @@ -62,10 +62,12 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='raytest', \n", + " head_cpus='500m',\n", + " head_memory=2,\n", " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=0,\n", " num_workers=2,\n", - " min_cpus=1,\n", + " min_cpus='250m',\n", " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index 00576024..bd5d6965 100644 --- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -44,10 +44,12 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", + " head_cpus=1,\n", + " head_memory=4,\n", " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=1,\n", " num_workers=2,\n", - " min_cpus=1,\n", + " min_cpus='250m',\n", " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb index 0692caa4..f95edc9d 100644 --- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -60,13 +60,15 @@ "cluster_name = \"interactivetest\"\n", "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", + " head_cpus=1,\n", + " head_memory=6,\n", " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=1,\n", " num_workers=2,\n", - " min_cpus=2,\n", - " max_cpus=2,\n", - " min_memory=8,\n", - " max_memory=8,\n", + " min_cpus='250m',\n", + " max_cpus=1,\n", + " min_memory=4,\n", + " max_memory=6,\n", " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", @@ -251,7 +253,17 @@ "\n", " ray_trainer = TorchTrainer(\n", " train_func,\n", - " scaling_config=ScalingConfig(num_workers=3, use_gpu=True),\n", + " scaling_config=ScalingConfig(\n", + " # num_workers = number of worker nodes with the ray head node included\n", + " num_workers=3,\n", + " use_gpu=True,\n", + " resources_per_worker={\n", + " \"CPU\": 1,\n", + " },\n", + " trainer_resources={\n", + " \"CPU\": 0,\n", + " }\n", + " )\n", " # Configure persistent storage that is accessible across \n", " # all worker nodes.\n", " # Uncomment and update the RunConfig below to include your storage details.\n", diff --git a/demo-notebooks/guided-demos/mnist_fashion.py b/demo-notebooks/guided-demos/mnist_fashion.py index 85cd6e64..ba5b2636 100644 --- a/demo-notebooks/guided-demos/mnist_fashion.py +++ b/demo-notebooks/guided-demos/mnist_fashion.py @@ -78,8 +78,16 @@ def train_func_distributed(): trainer = TorchTrainer( train_func_distributed, scaling_config=ScalingConfig( - num_workers=3, use_gpu=use_gpu - ), # num_workers = number of worker nodes with the ray head node included + # num_workers = number of worker nodes with the ray head node included + num_workers=3, + use_gpu=use_gpu, + resources_per_worker={ + "CPU": 1, + }, + trainer_resources={ + "CPU": 0, + }, + ), ) results = trainer.fit() diff --git a/tests/e2e/minio_deployment.yaml b/tests/e2e/minio_deployment.yaml index 86d4ef01..b2cdc54a 100644 --- a/tests/e2e/minio_deployment.yaml +++ b/tests/e2e/minio_deployment.yaml @@ -88,10 +88,7 @@ spec: mountPath: /data subPath: minio terminationMessagePolicy: File - image: >- - quay.io/minio/minio:RELEASE.2024-06-22T05-26-45Z - # In case of disconnected environment, use image digest instead of tag - # For example : /minio/minio@sha256:6b3abf2f59286b985bfde2b23e37230b466081eda5dccbf971524d54c8e406b5 + image: quay.io/minio/minio:RELEASE.2024-06-22T05-26-45Z args: - server - /data @@ -129,35 +126,3 @@ spec: sessionAffinity: None selector: app: minio ---- -kind: Route -apiVersion: route.openshift.io/v1 -metadata: - name: minio-api -spec: - to: - kind: Service - name: minio-service - weight: 100 - port: - targetPort: api - wildcardPolicy: None - tls: - termination: edge - insecureEdgeTerminationPolicy: Redirect ---- -kind: Route -apiVersion: route.openshift.io/v1 -metadata: - name: minio-ui -spec: - to: - kind: Service - name: minio-service - weight: 100 - port: - targetPort: ui - wildcardPolicy: None - tls: - termination: edge - insecureEdgeTerminationPolicy: Redirect From 62ce155d51b2f530a0bb035a3984fbb8216e1060 Mon Sep 17 00:00:00 2001 From: Kevin Date: Tue, 23 Jul 2024 13:38:19 -0400 Subject: [PATCH 060/254] mv demo nbs into src folder and add fn for cloning to current dir Signed-off-by: Kevin --- README.md | 4 +-- src/codeflare_sdk/__init__.py | 1 + .../additional-demos/hf_interactive.ipynb | 0 .../additional-demos/local_interactive.ipynb | 0 .../additional-demos/ray_job_client.ipynb | 0 .../guided-demos/0_basic_ray.ipynb | 0 .../guided-demos/1_cluster_job_client.ipynb | 0 .../guided-demos/2_basic_interactive.ipynb | 0 .../guided-demos/download_mnist_datasets.py | 0 .../demo-notebooks}/guided-demos/mnist.py | 0 .../guided-demos/mnist_disconnected.py | 0 .../guided-demos/mnist_fashion.py | 0 .../notebook-ex-outputs/0_basic_ray.ipynb | 0 .../1_cluster_job_client.ipynb | 0 .../2_basic_interactive.ipynb | 0 .../notebook-ex-outputs/interactivetest.yaml | 0 .../notebook-ex-outputs/jobtest.yaml | 0 .../guided-demos/notebook-ex-outputs/mnist.py | 0 .../notebook-ex-outputs/raytest.yaml | 0 .../notebook-ex-outputs/requirements.txt | 0 .../preview_nbs/0_basic_ray.ipynb | 0 .../preview_nbs/1_cluster_job_client.ipynb | 0 .../preview_nbs/2_basic_interactive.ipynb | 0 .../guided-demos/preview_nbs/mnist.py | 0 .../guided-demos/preview_nbs/requirements.txt | 0 .../guided-demos/requirements.txt | 0 src/codeflare_sdk/utils/demos.py | 27 +++++++++++++++++++ 27 files changed, 30 insertions(+), 2 deletions(-) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/additional-demos/hf_interactive.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/additional-demos/local_interactive.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/additional-demos/ray_job_client.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/0_basic_ray.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/1_cluster_job_client.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/2_basic_interactive.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/download_mnist_datasets.py (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/mnist.py (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/mnist_disconnected.py (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/mnist_fashion.py (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/notebook-ex-outputs/interactivetest.yaml (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/notebook-ex-outputs/jobtest.yaml (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/notebook-ex-outputs/mnist.py (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/notebook-ex-outputs/raytest.yaml (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/notebook-ex-outputs/requirements.txt (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/preview_nbs/0_basic_ray.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/preview_nbs/1_cluster_job_client.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/preview_nbs/2_basic_interactive.ipynb (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/preview_nbs/mnist.py (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/preview_nbs/requirements.txt (100%) rename {demo-notebooks => src/codeflare_sdk/demo-notebooks}/guided-demos/requirements.txt (100%) create mode 100644 src/codeflare_sdk/utils/demos.py diff --git a/README.md b/README.md index 31177840..3b3c8b14 100644 --- a/README.md +++ b/README.md @@ -7,8 +7,8 @@ An intuitive, easy-to-use python interface for batch resource requesting, access For guided demos and basics walkthroughs, check out the following links: -- Guided demo notebooks available [here](https://github.com/project-codeflare/codeflare-sdk/tree/main/demo-notebooks/guided-demos), and copies of the notebooks with [expected output](https://github.com/project-codeflare/codeflare-sdk/tree/main/demo-notebooks/guided-demos/notebook-ex-outputs) also available -- Note that these notebooks will work with the latest `codeflare-sdk` PyPI release. For testing and experimentation with `main` branch, please use the [preview notebooks](https://github.com/project-codeflare/codeflare-sdk/tree/main/demo-notebooks/guided-demos/preview_nbs) +- Guided demo notebooks available [here](https://github.com/project-codeflare/codeflare-sdk/tree/main/src/demo-notebooks/guided-demos), and copies of the notebooks with [expected output](https://github.com/project-codeflare/codeflare-sdk/tree/main/src/demo-notebooks/guided-demos/notebook-ex-outputs) also available +- these demos can be copied into your current working directory when using the `codeflare-sdk` by using the `codeflare_sdk.copy_demo_nbs()` function - Additionally, we have a [video walkthrough](https://www.youtube.com/watch?v=U76iIfd9EmE) of these basic demos from June, 2023 Full documentation can be found [here](https://project-codeflare.github.io/codeflare-sdk/detailed-documentation) diff --git a/src/codeflare_sdk/__init__.py b/src/codeflare_sdk/__init__.py index 358ff4f2..0390a3d2 100644 --- a/src/codeflare_sdk/__init__.py +++ b/src/codeflare_sdk/__init__.py @@ -19,6 +19,7 @@ from .job import RayJobClient from .utils import generate_cert +from .utils.demos import copy_demo_nbs from importlib.metadata import version, PackageNotFoundError diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/src/codeflare_sdk/demo-notebooks/additional-demos/hf_interactive.ipynb similarity index 100% rename from demo-notebooks/additional-demos/hf_interactive.ipynb rename to src/codeflare_sdk/demo-notebooks/additional-demos/hf_interactive.ipynb diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/src/codeflare_sdk/demo-notebooks/additional-demos/local_interactive.ipynb similarity index 100% rename from demo-notebooks/additional-demos/local_interactive.ipynb rename to src/codeflare_sdk/demo-notebooks/additional-demos/local_interactive.ipynb diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/src/codeflare_sdk/demo-notebooks/additional-demos/ray_job_client.ipynb similarity index 100% rename from demo-notebooks/additional-demos/ray_job_client.ipynb rename to src/codeflare_sdk/demo-notebooks/additional-demos/ray_job_client.ipynb diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/0_basic_ray.ipynb similarity index 100% rename from demo-notebooks/guided-demos/0_basic_ray.ipynb rename to src/codeflare_sdk/demo-notebooks/guided-demos/0_basic_ray.ipynb diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/1_cluster_job_client.ipynb similarity index 100% rename from demo-notebooks/guided-demos/1_cluster_job_client.ipynb rename to src/codeflare_sdk/demo-notebooks/guided-demos/1_cluster_job_client.ipynb diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/2_basic_interactive.ipynb similarity index 100% rename from demo-notebooks/guided-demos/2_basic_interactive.ipynb rename to src/codeflare_sdk/demo-notebooks/guided-demos/2_basic_interactive.ipynb diff --git a/demo-notebooks/guided-demos/download_mnist_datasets.py b/src/codeflare_sdk/demo-notebooks/guided-demos/download_mnist_datasets.py similarity index 100% rename from demo-notebooks/guided-demos/download_mnist_datasets.py rename to src/codeflare_sdk/demo-notebooks/guided-demos/download_mnist_datasets.py diff --git a/demo-notebooks/guided-demos/mnist.py b/src/codeflare_sdk/demo-notebooks/guided-demos/mnist.py similarity index 100% rename from demo-notebooks/guided-demos/mnist.py rename to src/codeflare_sdk/demo-notebooks/guided-demos/mnist.py diff --git a/demo-notebooks/guided-demos/mnist_disconnected.py b/src/codeflare_sdk/demo-notebooks/guided-demos/mnist_disconnected.py similarity index 100% rename from demo-notebooks/guided-demos/mnist_disconnected.py rename to src/codeflare_sdk/demo-notebooks/guided-demos/mnist_disconnected.py diff --git a/demo-notebooks/guided-demos/mnist_fashion.py b/src/codeflare_sdk/demo-notebooks/guided-demos/mnist_fashion.py similarity index 100% rename from demo-notebooks/guided-demos/mnist_fashion.py rename to src/codeflare_sdk/demo-notebooks/guided-demos/mnist_fashion.py diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb similarity index 100% rename from demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb rename to src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb similarity index 100% rename from demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb rename to src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb similarity index 100% rename from demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb rename to src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml similarity index 100% rename from demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml rename to src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml similarity index 100% rename from demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml rename to src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/mnist.py b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/mnist.py similarity index 100% rename from demo-notebooks/guided-demos/notebook-ex-outputs/mnist.py rename to src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/mnist.py diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml similarity index 100% rename from demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml rename to src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt similarity index 100% rename from demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt rename to src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb similarity index 100% rename from demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb rename to src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb similarity index 100% rename from demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb rename to src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb similarity index 100% rename from demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb rename to src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb diff --git a/demo-notebooks/guided-demos/preview_nbs/mnist.py b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/mnist.py similarity index 100% rename from demo-notebooks/guided-demos/preview_nbs/mnist.py rename to src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/mnist.py diff --git a/demo-notebooks/guided-demos/preview_nbs/requirements.txt b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/requirements.txt similarity index 100% rename from demo-notebooks/guided-demos/preview_nbs/requirements.txt rename to src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/requirements.txt diff --git a/demo-notebooks/guided-demos/requirements.txt b/src/codeflare_sdk/demo-notebooks/guided-demos/requirements.txt similarity index 100% rename from demo-notebooks/guided-demos/requirements.txt rename to src/codeflare_sdk/demo-notebooks/guided-demos/requirements.txt diff --git a/src/codeflare_sdk/utils/demos.py b/src/codeflare_sdk/utils/demos.py new file mode 100644 index 00000000..2571a23d --- /dev/null +++ b/src/codeflare_sdk/utils/demos.py @@ -0,0 +1,27 @@ +import pathlib +import shutil + +package_dir = pathlib.Path(__file__).parent.parent.resolve() +demo_dir = f"{package_dir}/demo-notebooks" + + +def copy_demo_nbs(dir: str = "./demo-notebooks", overwrite: bool = False): + """ + Copy the demo notebooks from the package to the current working directory + + overwrite=True will overwrite any files that exactly match files written by copy_demo_nbs in the target directory. + Any files that exist in the directory that don't match these values will remain untouched. + + Args: + dir (str): The directory to copy the demo notebooks to. Defaults to "./demo-notebooks". overwrite (bool): + overwrite (bool): Whether to overwrite files in the directory if it already exists. Defaults to False. + Raises: + FileExistsError: If the directory already exists. + """ + # does dir exist already? + if overwrite is False and pathlib.Path(dir).exists(): + raise FileExistsError( + f"Directory {dir} already exists. Please remove it or provide a different location." + ) + + shutil.copytree(demo_dir, dir, dirs_exist_ok=True) From 029683fc1953728428ed196f66dc18e7b63c6d36 Mon Sep 17 00:00:00 2001 From: Shilpa Chugh Date: Thu, 18 Jul 2024 13:03:00 +0530 Subject: [PATCH 061/254] Make ray image parameter as optional --- docs/cluster-configuration.md | 3 ++- .../additional-demos/hf_interactive.ipynb | 6 +++--- .../additional-demos/local_interactive.ipynb | 6 +++--- .../additional-demos/ray_job_client.ipynb | 13 ++++++++++++- .../demo-notebooks/guided-demos/0_basic_ray.ipynb | 6 +++--- .../guided-demos/1_cluster_job_client.ipynb | 13 ++++++++++++- .../guided-demos/2_basic_interactive.ipynb | 14 +++++++------- .../notebook-ex-outputs/0_basic_ray.ipynb | 6 +++--- .../notebook-ex-outputs/1_cluster_job_client.ipynb | 13 ++++++++++++- .../notebook-ex-outputs/2_basic_interactive.ipynb | 6 +++--- .../guided-demos/preview_nbs/0_basic_ray.ipynb | 6 +++--- .../preview_nbs/1_cluster_job_client.ipynb | 13 ++++++++++++- .../preview_nbs/2_basic_interactive.ipynb | 6 +++--- 13 files changed, 78 insertions(+), 33 deletions(-) diff --git a/docs/cluster-configuration.md b/docs/cluster-configuration.md index c3af6343..40132894 100644 --- a/docs/cluster-configuration.md +++ b/docs/cluster-configuration.md @@ -19,11 +19,12 @@ cluster = Cluster(ClusterConfiguration( min_memory=2, # Default 2 max_memory=2, # Default 2 num_gpus=0, # Default 0 - image="quay.io/rhoai/ray:2.23.0-py39-cu121", # Mandatory Field + # image="", # Optional Field machine_types=["m5.xlarge", "g4dn.xlarge"], labels={"exampleLabel": "example", "secondLabel": "example"}, )) ``` +Note: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. If you have your own Ray image which suits your purposes, specify it in image field to override the default image. The `labels={"exampleLabel": "example"}` parameter can be used to apply additional labels to the RayCluster resource. diff --git a/src/codeflare_sdk/demo-notebooks/additional-demos/hf_interactive.ipynb b/src/codeflare_sdk/demo-notebooks/additional-demos/hf_interactive.ipynb index 1c9f7cd1..a8ab8946 100644 --- a/src/codeflare_sdk/demo-notebooks/additional-demos/hf_interactive.ipynb +++ b/src/codeflare_sdk/demo-notebooks/additional-demos/hf_interactive.ipynb @@ -68,8 +68,8 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding Ray Cluster).\n", "\n", - "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n", - "The example here is a community image." + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, { @@ -98,7 +98,7 @@ " max_cpus=8, \n", " min_memory=16, \n", " max_memory=16, \n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", " ))" diff --git a/src/codeflare_sdk/demo-notebooks/additional-demos/local_interactive.ipynb b/src/codeflare_sdk/demo-notebooks/additional-demos/local_interactive.ipynb index 8ea08834..d7e4ac8c 100644 --- a/src/codeflare_sdk/demo-notebooks/additional-demos/local_interactive.ipynb +++ b/src/codeflare_sdk/demo-notebooks/additional-demos/local_interactive.ipynb @@ -35,8 +35,8 @@ "metadata": {}, "source": [ "\n", - "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n", - "The example here is a community image." + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, { @@ -61,7 +61,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", " ))" diff --git a/src/codeflare_sdk/demo-notebooks/additional-demos/ray_job_client.ipynb b/src/codeflare_sdk/demo-notebooks/additional-demos/ray_job_client.ipynb index 4b9434bc..28efde9a 100644 --- a/src/codeflare_sdk/demo-notebooks/additional-demos/ray_job_client.ipynb +++ b/src/codeflare_sdk/demo-notebooks/additional-demos/ray_job_client.ipynb @@ -35,6 +35,16 @@ "auth.login()" ] }, + { + "cell_type": "markdown", + "id": "18de2d65", + "metadata": {}, + "source": [ + "\n", + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." + ] + }, { "cell_type": "code", "execution_count": null, @@ -52,8 +62,9 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", + " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" ] }, diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/0_basic_ray.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/0_basic_ray.ipynb index 11f3a3b2..bbade0cc 100644 --- a/src/codeflare_sdk/demo-notebooks/guided-demos/0_basic_ray.ipynb +++ b/src/codeflare_sdk/demo-notebooks/guided-demos/0_basic_ray.ipynb @@ -47,8 +47,8 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", "\n", - "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n", - "The example here is a community image." + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, { @@ -71,7 +71,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index bd5d6965..61e360ef 100644 --- a/src/codeflare_sdk/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/src/codeflare_sdk/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -34,6 +34,17 @@ "auth.login()" ] }, + { + "cell_type": "markdown", + "id": "bc27f84c", + "metadata": {}, + "source": [ + "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", + "\n", + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." + ] + }, { "cell_type": "code", "execution_count": null, @@ -53,7 +64,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/2_basic_interactive.ipynb index f95edc9d..5ce94a21 100644 --- a/src/codeflare_sdk/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/src/codeflare_sdk/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -44,8 +44,8 @@ "source": [ "Once again, let's start by running through the same cluster setup as before:\n", "\n", - "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n", - "The example here is a community image." + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, { @@ -65,11 +65,11 @@ " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=1,\n", " num_workers=2,\n", - " min_cpus='250m',\n", - " max_cpus=1,\n", - " min_memory=4,\n", - " max_memory=6,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " min_cpus=2,\n", + " max_cpus=2,\n", + " min_memory=8,\n", + " max_memory=8,\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb index 8338ce74..31ffb730 100644 --- a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb +++ b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb @@ -47,8 +47,8 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", "\n", - "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n", - "The example here is a community image." + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, { @@ -77,7 +77,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb index e354f36d..c117c239 100644 --- a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb +++ b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb @@ -34,6 +34,17 @@ "auth.login()" ] }, + { + "cell_type": "markdown", + "id": "bc27f84c", + "metadata": {}, + "source": [ + "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", + "\n", + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." + ] + }, { "cell_type": "code", "execution_count": null, @@ -51,7 +62,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb index 4e28e53b..56640a5b 100644 --- a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb +++ b/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb @@ -44,8 +44,8 @@ "source": [ "Once again, let's start by running through the same cluster setup as before:\n", "\n", - "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n", - "The example here is a community image." + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, { @@ -75,7 +75,7 @@ " max_cpus=2,\n", " min_memory=8,\n", " max_memory=8,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb index 8923759a..edf4fd5f 100644 --- a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb +++ b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb @@ -47,8 +47,8 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", "\n", - "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n", - "The example here is a community image." + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, { @@ -69,7 +69,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb index 20191434..692c4d37 100644 --- a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb +++ b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb @@ -34,6 +34,17 @@ "auth.login()" ] }, + { + "cell_type": "markdown", + "id": "bc27f84c", + "metadata": {}, + "source": [ + "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", + "\n", + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." + ] + }, { "cell_type": "code", "execution_count": null, @@ -51,7 +62,7 @@ " max_cpus=1,\n", " min_memory=4,\n", " max_memory=4,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources\n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb index 776add1a..91605499 100644 --- a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb +++ b/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb @@ -44,8 +44,8 @@ "source": [ "Once again, let's start by running through the same cluster setup as before:\n", "\n", - "NOTE: We must specify the `image` which will be used in our RayCluster, we recommend you bring your own image which suits your purposes. \n", - "The example here is a community image." + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, { @@ -67,7 +67,7 @@ " max_cpus=2,\n", " min_memory=8,\n", " max_memory=8,\n", - " image=\"quay.io/rhoai/ray:2.23.0-py39-cu121\",\n", + " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" From 5262e26aa4c828341c4df91e34bec9fc7b51fb44 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Fri, 26 Jul 2024 16:13:46 +0100 Subject: [PATCH 062/254] Fixed automated documentation --- .github/workflows/release.yaml | 7 ++++--- .../additional-demos/hf_interactive.ipynb | 0 .../additional-demos/local_interactive.ipynb | 0 .../additional-demos/ray_job_client.ipynb | 0 .../guided-demos/0_basic_ray.ipynb | 0 .../guided-demos/1_cluster_job_client.ipynb | 0 .../guided-demos/2_basic_interactive.ipynb | 0 .../guided-demos/download_mnist_datasets.py | 0 .../guided-demos/mnist.py | 0 .../guided-demos/mnist_disconnected.py | 0 .../guided-demos/mnist_fashion.py | 0 .../guided-demos/notebook-ex-outputs/0_basic_ray.ipynb | 0 .../notebook-ex-outputs/1_cluster_job_client.ipynb | 0 .../notebook-ex-outputs/2_basic_interactive.ipynb | 0 .../guided-demos/notebook-ex-outputs/interactivetest.yaml | 0 .../guided-demos/notebook-ex-outputs/jobtest.yaml | 0 .../guided-demos/notebook-ex-outputs/mnist.py | 0 .../guided-demos/notebook-ex-outputs/raytest.yaml | 0 .../guided-demos/notebook-ex-outputs/requirements.txt | 0 .../guided-demos/preview_nbs/0_basic_ray.ipynb | 0 .../guided-demos/preview_nbs/1_cluster_job_client.ipynb | 0 .../guided-demos/preview_nbs/2_basic_interactive.ipynb | 0 .../guided-demos/preview_nbs/mnist.py | 0 .../guided-demos/preview_nbs/requirements.txt | 0 .../guided-demos/requirements.txt | 0 25 files changed, 4 insertions(+), 3 deletions(-) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/additional-demos/hf_interactive.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/additional-demos/local_interactive.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/additional-demos/ray_job_client.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/0_basic_ray.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/1_cluster_job_client.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/2_basic_interactive.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/download_mnist_datasets.py (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/mnist.py (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/mnist_disconnected.py (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/mnist_fashion.py (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/notebook-ex-outputs/interactivetest.yaml (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/notebook-ex-outputs/jobtest.yaml (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/notebook-ex-outputs/mnist.py (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/notebook-ex-outputs/raytest.yaml (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/notebook-ex-outputs/requirements.txt (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/preview_nbs/0_basic_ray.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/preview_nbs/1_cluster_job_client.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/preview_nbs/2_basic_interactive.ipynb (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/preview_nbs/mnist.py (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/preview_nbs/requirements.txt (100%) rename {src/codeflare_sdk/demo-notebooks => demo-notebooks}/guided-demos/requirements.txt (100%) diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml index 0d589d95..641a148d 100644 --- a/.github/workflows/release.yaml +++ b/.github/workflows/release.yaml @@ -50,11 +50,12 @@ jobs: run: poetry version "${{ github.event.inputs.release-version }}" - name: Run poetry install run: poetry install --with docs - - name: Run poetry build - run: poetry build - name: Create new documentation run: poetry run pdoc --html -o docs/detailed-documentation src/codeflare_sdk && pushd docs/detailed-documentation && rm -rf cluster job utils && mv codeflare_sdk/* . && rm -rf codeflare_sdk && popd && find docs/detailed-documentation -type f -name "*.html" -exec bash -c "echo '' >> {}" \; - + - name: Copy demo notebooks into SDK package + run: cp demo-notebooks src/codeflare_sdk/demo-notebooks + - name: Run poetry build + run: poetry build - name: Commit changes in docs uses: stefanzweifel/git-auto-commit-action@v4 with: diff --git a/src/codeflare_sdk/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/additional-demos/hf_interactive.ipynb rename to demo-notebooks/additional-demos/hf_interactive.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/additional-demos/local_interactive.ipynb rename to demo-notebooks/additional-demos/local_interactive.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/additional-demos/ray_job_client.ipynb rename to demo-notebooks/additional-demos/ray_job_client.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/0_basic_ray.ipynb rename to demo-notebooks/guided-demos/0_basic_ray.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/1_cluster_job_client.ipynb rename to demo-notebooks/guided-demos/1_cluster_job_client.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/2_basic_interactive.ipynb rename to demo-notebooks/guided-demos/2_basic_interactive.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/download_mnist_datasets.py b/demo-notebooks/guided-demos/download_mnist_datasets.py similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/download_mnist_datasets.py rename to demo-notebooks/guided-demos/download_mnist_datasets.py diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/mnist.py b/demo-notebooks/guided-demos/mnist.py similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/mnist.py rename to demo-notebooks/guided-demos/mnist.py diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/mnist_disconnected.py b/demo-notebooks/guided-demos/mnist_disconnected.py similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/mnist_disconnected.py rename to demo-notebooks/guided-demos/mnist_disconnected.py diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/mnist_fashion.py b/demo-notebooks/guided-demos/mnist_fashion.py similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/mnist_fashion.py rename to demo-notebooks/guided-demos/mnist_fashion.py diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb rename to demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb rename to demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb rename to demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml rename to demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml rename to demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/mnist.py b/demo-notebooks/guided-demos/notebook-ex-outputs/mnist.py similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/mnist.py rename to demo-notebooks/guided-demos/notebook-ex-outputs/mnist.py diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml rename to demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt rename to demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb rename to demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb rename to demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb rename to demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/mnist.py b/demo-notebooks/guided-demos/preview_nbs/mnist.py similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/mnist.py rename to demo-notebooks/guided-demos/preview_nbs/mnist.py diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/requirements.txt b/demo-notebooks/guided-demos/preview_nbs/requirements.txt similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/preview_nbs/requirements.txt rename to demo-notebooks/guided-demos/preview_nbs/requirements.txt diff --git a/src/codeflare_sdk/demo-notebooks/guided-demos/requirements.txt b/demo-notebooks/guided-demos/requirements.txt similarity index 100% rename from src/codeflare_sdk/demo-notebooks/guided-demos/requirements.txt rename to demo-notebooks/guided-demos/requirements.txt From 184dc0f782ab5fd820ba5fbfbe68a8d8790a279b Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Fri, 26 Jul 2024 16:48:58 +0100 Subject: [PATCH 063/254] Fixed copy demo notebooks in automated documentation --- .github/workflows/release.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml index 641a148d..15063f23 100644 --- a/.github/workflows/release.yaml +++ b/.github/workflows/release.yaml @@ -53,7 +53,7 @@ jobs: - name: Create new documentation run: poetry run pdoc --html -o docs/detailed-documentation src/codeflare_sdk && pushd docs/detailed-documentation && rm -rf cluster job utils && mv codeflare_sdk/* . && rm -rf codeflare_sdk && popd && find docs/detailed-documentation -type f -name "*.html" -exec bash -c "echo '' >> {}" \; - name: Copy demo notebooks into SDK package - run: cp demo-notebooks src/codeflare_sdk/demo-notebooks + run: cp -r demo-notebooks src/codeflare_sdk/demo-notebooks - name: Run poetry build run: poetry build - name: Commit changes in docs From 1b6bbc36c65780be8e5e86830ed19f7b9be6da9f Mon Sep 17 00:00:00 2001 From: codeflare-machine-account Date: Fri, 26 Jul 2024 15:51:55 +0000 Subject: [PATCH 064/254] Changes in docs for release: v0.18.0 --- .../cluster/cluster.html | 327 ++++-------- .../cluster/config.html | 497 +++++++++++++++--- .../detailed-documentation/cluster/model.html | 25 +- docs/detailed-documentation/index.html | 11 +- docs/detailed-documentation/utils/demos.html | 138 +++++ .../utils/generate_yaml.html | 456 +++++++++------- docs/detailed-documentation/utils/index.html | 5 + .../utils/pretty_print.html | 4 +- 8 files changed, 974 insertions(+), 489 deletions(-) create mode 100644 docs/detailed-documentation/utils/demos.html diff --git a/docs/detailed-documentation/cluster/cluster.html b/docs/detailed-documentation/cluster/cluster.html index 1e49cf6d..5c8688eb 100644 --- a/docs/detailed-documentation/cluster/cluster.html +++ b/docs/detailed-documentation/cluster/cluster.html @@ -61,6 +61,7 @@

    Module codeflare_sdk.cluster.cluster

    from ..utils import pretty_print from ..utils.generate_yaml import ( generate_appwrapper, + head_worker_gpu_count_from_cluster, ) from ..utils.kube_api_helpers import _kube_api_error_handling from ..utils.generate_yaml import is_openshift_cluster @@ -135,16 +136,6 @@

    Module codeflare_sdk.cluster.cluster

    ) return self._job_submission_client - def validate_image_config(self): - """ - Validates that the image configuration is not empty. - - :param image: The image string to validate - :raises ValueError: If the image is not specified - """ - if self.config.image == "" or self.config.image == None: - raise ValueError("Image must be specified in the ClusterConfiguration") - def create_app_wrapper(self): """ Called upon cluster object creation, creates an AppWrapper yaml based on @@ -160,51 +151,7 @@

    Module codeflare_sdk.cluster.cluster

    f"Namespace {self.config.namespace} is of type {type(self.config.namespace)}. Check your Kubernetes Authentication." ) - # Validate image configuration - self.validate_image_config() - - # Before attempting to create the cluster AW, let's evaluate the ClusterConfig - - name = self.config.name - namespace = self.config.namespace - head_cpus = self.config.head_cpus - head_memory = self.config.head_memory - head_gpus = self.config.head_gpus - min_cpu = self.config.min_cpus - max_cpu = self.config.max_cpus - min_memory = self.config.min_memory - max_memory = self.config.max_memory - gpu = self.config.num_gpus - workers = self.config.num_workers - template = self.config.template - image = self.config.image - appwrapper = self.config.appwrapper - env = self.config.envs - image_pull_secrets = self.config.image_pull_secrets - write_to_file = self.config.write_to_file - local_queue = self.config.local_queue - labels = self.config.labels - return generate_appwrapper( - name=name, - namespace=namespace, - head_cpus=head_cpus, - head_memory=head_memory, - head_gpus=head_gpus, - min_cpu=min_cpu, - max_cpu=max_cpu, - min_memory=min_memory, - max_memory=max_memory, - gpu=gpu, - workers=workers, - template=template, - image=image, - appwrapper=appwrapper, - env=env, - image_pull_secrets=image_pull_secrets, - write_to_file=write_to_file, - local_queue=local_queue, - labels=labels, - ) + return generate_appwrapper(self) # creates a new cluster with the provided or default spec def up(self): @@ -350,7 +297,7 @@

    Module codeflare_sdk.cluster.cluster

    if print_to_console: # overriding the number of gpus with requested - cluster.worker_gpu = self.config.num_gpus + _, cluster.worker_gpu = head_worker_gpu_count_from_cluster(self) pretty_print.print_cluster_status(cluster) elif print_to_console: if status == CodeFlareClusterStatus.UNKNOWN: @@ -488,6 +435,29 @@

    Module codeflare_sdk.cluster.cluster

    """ return self.job_client.get_job_logs(job_id) + @staticmethod + def _head_worker_extended_resources_from_rc_dict(rc: Dict) -> Tuple[dict, dict]: + head_extended_resources, worker_extended_resources = {}, {} + for resource in rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"].keys(): + if resource in ["memory", "cpu"]: + continue + worker_extended_resources[resource] = rc["spec"]["workerGroupSpecs"][0][ + "template" + ]["spec"]["containers"][0]["resources"]["limits"][resource] + + for resource in rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["limits"].keys(): + if resource in ["memory", "cpu"]: + continue + head_extended_resources[resource] = rc["spec"]["headGroupSpec"]["template"][ + "spec" + ]["containers"][0]["resources"]["limits"][resource] + + return head_extended_resources, worker_extended_resources + def from_k8_cluster_object( rc, appwrapper=True, @@ -501,28 +471,30 @@

    Module codeflare_sdk.cluster.cluster

    else [] ) + ( + head_extended_resources, + worker_extended_resources, + ) = Cluster._head_worker_extended_resources_from_rc_dict(rc) + cluster_config = ClusterConfiguration( name=rc["metadata"]["name"], namespace=rc["metadata"]["namespace"], machine_types=machine_types, num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"], - min_cpus=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["requests"]["cpu"], - max_cpus=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["cpu"], - min_memory=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ - "containers" - ][0]["resources"]["requests"]["memory"], - max_memory=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_memory_requests=rc["spec"]["workerGroupSpecs"][0]["template"][ + "spec" + ]["containers"][0]["resources"]["requests"]["memory"], + worker_memory_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["memory"], - num_gpus=int( - rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][0][ - "resources" - ]["limits"]["nvidia.com/gpu"] - ), + worker_extended_resource_requests=worker_extended_resources, + head_extended_resource_requests=head_extended_resources, image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ 0 ]["image"], @@ -903,6 +875,11 @@

    Module codeflare_sdk.cluster.cluster

    protocol = "https" dashboard_url = f"{protocol}://{ingress.spec.rules[0].host}" + ( + head_extended_resources, + worker_extended_resources, + ) = Cluster._head_worker_extended_resources_from_rc_dict(rc) + return RayCluster( name=rc["metadata"]["name"], status=status, @@ -917,7 +894,7 @@

    Module codeflare_sdk.cluster.cluster

    worker_cpu=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ 0 ]["resources"]["limits"]["cpu"], - worker_gpu=0, # hard to detect currently how many gpus, can override it with what the user asked for + worker_extended_resources=worker_extended_resources, namespace=rc["metadata"]["namespace"], head_cpus=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][0][ "resources" @@ -925,9 +902,7 @@

    Module codeflare_sdk.cluster.cluster

    head_mem=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][0][ "resources" ]["limits"]["memory"], - head_gpu=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][0][ - "resources" - ]["limits"]["nvidia.com/gpu"], + head_extended_resources=head_extended_resources, dashboard=dashboard_url, ) @@ -949,15 +924,15 @@

    Module codeflare_sdk.cluster.cluster

    name=cluster.config.name, status=cluster.status(print_to_console=False)[0], workers=cluster.config.num_workers, - worker_mem_min=cluster.config.min_memory, - worker_mem_max=cluster.config.max_memory, - worker_cpu=cluster.config.min_cpus, - worker_gpu=cluster.config.num_gpus, + worker_mem_min=cluster.config.worker_memory_requests, + worker_mem_max=cluster.config.worker_memory_limits, + worker_cpu=cluster.config.worker_cpu_requests, + worker_extended_resources=cluster.config.worker_extended_resource_requests, namespace=cluster.config.namespace, dashboard=cluster.cluster_dashboard_uri(), head_cpus=cluster.config.head_cpus, head_mem=cluster.config.head_memory, - head_gpu=cluster.config.head_gpus, + head_extended_resources=cluster.config.head_extended_resource_requests, ) if ray.status == CodeFlareClusterStatus.READY: ray.status = RayClusterStatus.READY @@ -1181,16 +1156,6 @@

    Classes

    ) return self._job_submission_client - def validate_image_config(self): - """ - Validates that the image configuration is not empty. - - :param image: The image string to validate - :raises ValueError: If the image is not specified - """ - if self.config.image == "" or self.config.image == None: - raise ValueError("Image must be specified in the ClusterConfiguration") - def create_app_wrapper(self): """ Called upon cluster object creation, creates an AppWrapper yaml based on @@ -1206,51 +1171,7 @@

    Classes

    f"Namespace {self.config.namespace} is of type {type(self.config.namespace)}. Check your Kubernetes Authentication." ) - # Validate image configuration - self.validate_image_config() - - # Before attempting to create the cluster AW, let's evaluate the ClusterConfig - - name = self.config.name - namespace = self.config.namespace - head_cpus = self.config.head_cpus - head_memory = self.config.head_memory - head_gpus = self.config.head_gpus - min_cpu = self.config.min_cpus - max_cpu = self.config.max_cpus - min_memory = self.config.min_memory - max_memory = self.config.max_memory - gpu = self.config.num_gpus - workers = self.config.num_workers - template = self.config.template - image = self.config.image - appwrapper = self.config.appwrapper - env = self.config.envs - image_pull_secrets = self.config.image_pull_secrets - write_to_file = self.config.write_to_file - local_queue = self.config.local_queue - labels = self.config.labels - return generate_appwrapper( - name=name, - namespace=namespace, - head_cpus=head_cpus, - head_memory=head_memory, - head_gpus=head_gpus, - min_cpu=min_cpu, - max_cpu=max_cpu, - min_memory=min_memory, - max_memory=max_memory, - gpu=gpu, - workers=workers, - template=template, - image=image, - appwrapper=appwrapper, - env=env, - image_pull_secrets=image_pull_secrets, - write_to_file=write_to_file, - local_queue=local_queue, - labels=labels, - ) + return generate_appwrapper(self) # creates a new cluster with the provided or default spec def up(self): @@ -1396,7 +1317,7 @@

    Classes

    if print_to_console: # overriding the number of gpus with requested - cluster.worker_gpu = self.config.num_gpus + _, cluster.worker_gpu = head_worker_gpu_count_from_cluster(self) pretty_print.print_cluster_status(cluster) elif print_to_console: if status == CodeFlareClusterStatus.UNKNOWN: @@ -1534,6 +1455,29 @@

    Classes

    """ return self.job_client.get_job_logs(job_id) + @staticmethod + def _head_worker_extended_resources_from_rc_dict(rc: Dict) -> Tuple[dict, dict]: + head_extended_resources, worker_extended_resources = {}, {} + for resource in rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"].keys(): + if resource in ["memory", "cpu"]: + continue + worker_extended_resources[resource] = rc["spec"]["workerGroupSpecs"][0][ + "template" + ]["spec"]["containers"][0]["resources"]["limits"][resource] + + for resource in rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["limits"].keys(): + if resource in ["memory", "cpu"]: + continue + head_extended_resources[resource] = rc["spec"]["headGroupSpec"]["template"][ + "spec" + ]["containers"][0]["resources"]["limits"][resource] + + return head_extended_resources, worker_extended_resources + def from_k8_cluster_object( rc, appwrapper=True, @@ -1547,28 +1491,30 @@

    Classes

    else [] ) + ( + head_extended_resources, + worker_extended_resources, + ) = Cluster._head_worker_extended_resources_from_rc_dict(rc) + cluster_config = ClusterConfiguration( name=rc["metadata"]["name"], namespace=rc["metadata"]["namespace"], machine_types=machine_types, num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"], - min_cpus=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["requests"]["cpu"], - max_cpus=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["cpu"], - min_memory=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ - "containers" - ][0]["resources"]["requests"]["memory"], - max_memory=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_memory_requests=rc["spec"]["workerGroupSpecs"][0]["template"][ + "spec" + ]["containers"][0]["resources"]["requests"]["memory"], + worker_memory_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["memory"], - num_gpus=int( - rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][0][ - "resources" - ]["limits"]["nvidia.com/gpu"] - ), + worker_extended_resource_requests=worker_extended_resources, + head_extended_resource_requests=head_extended_resources, image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ 0 ]["image"], @@ -1749,51 +1695,7 @@

    Methods

    f"Namespace {self.config.namespace} is of type {type(self.config.namespace)}. Check your Kubernetes Authentication." ) - # Validate image configuration - self.validate_image_config() - - # Before attempting to create the cluster AW, let's evaluate the ClusterConfig - - name = self.config.name - namespace = self.config.namespace - head_cpus = self.config.head_cpus - head_memory = self.config.head_memory - head_gpus = self.config.head_gpus - min_cpu = self.config.min_cpus - max_cpu = self.config.max_cpus - min_memory = self.config.min_memory - max_memory = self.config.max_memory - gpu = self.config.num_gpus - workers = self.config.num_workers - template = self.config.template - image = self.config.image - appwrapper = self.config.appwrapper - env = self.config.envs - image_pull_secrets = self.config.image_pull_secrets - write_to_file = self.config.write_to_file - local_queue = self.config.local_queue - labels = self.config.labels - return generate_appwrapper( - name=name, - namespace=namespace, - head_cpus=head_cpus, - head_memory=head_memory, - head_gpus=head_gpus, - min_cpu=min_cpu, - max_cpu=max_cpu, - min_memory=min_memory, - max_memory=max_memory, - gpu=gpu, - workers=workers, - template=template, - image=image, - appwrapper=appwrapper, - env=env, - image_pull_secrets=image_pull_secrets, - write_to_file=write_to_file, - local_queue=local_queue, - labels=labels, - )     + return generate_appwrapper(self)
    @@ -1868,28 +1770,30 @@

    Methods

    else [] ) + ( + head_extended_resources, + worker_extended_resources, + ) = Cluster._head_worker_extended_resources_from_rc_dict(rc) + cluster_config = ClusterConfiguration( name=rc["metadata"]["name"], namespace=rc["metadata"]["namespace"], machine_types=machine_types, num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"], - min_cpus=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["requests"]["cpu"], - max_cpus=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["cpu"], - min_memory=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ - "containers" - ][0]["resources"]["requests"]["memory"], - max_memory=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_memory_requests=rc["spec"]["workerGroupSpecs"][0]["template"][ + "spec" + ]["containers"][0]["resources"]["requests"]["memory"], + worker_memory_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["memory"], - num_gpus=int( - rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][0][ - "resources" - ]["limits"]["nvidia.com/gpu"] - ), + worker_extended_resource_requests=worker_extended_resources, + head_extended_resource_requests=head_extended_resources, image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ 0 ]["image"], @@ -2063,7 +1967,7 @@

    Methods

    if print_to_console: # overriding the number of gpus with requested - cluster.worker_gpu = self.config.num_gpus + _, cluster.worker_gpu = head_worker_gpu_count_from_cluster(self) pretty_print.print_cluster_status(cluster) elif print_to_console: if status == CodeFlareClusterStatus.UNKNOWN: @@ -2124,28 +2028,6 @@

    Methods

    return _kube_api_error_handling(e)     -
    -def validate_image_config(self) -
    -
    -

    Validates that the image configuration is not empty.

    -

    :param image: The image string to validate -:raises ValueError: If the image is not specified

    -
    - -Expand source code - -
    def validate_image_config(self):
-    """
-    Validates that the image configuration is not empty.
-
-    :param image: The image string to validate
-    :raises ValueError: If the image is not specified
-    """
-    if self.config.image == "" or self.config.image == None:
-        raise ValueError("Image must be specified in the ClusterConfiguration")
    -
    -
    def wait_ready(self, timeout: Optional[int] = None, dashboard_check: bool = True)
    @@ -2234,7 +2116,6 @@

    local_client_url
  • status
  • up
    • -
  • validate_image_config
  • wait_ready
    • diff --git a/docs/detailed-documentation/cluster/config.html b/docs/detailed-documentation/cluster/config.html index 60b6dc95..87ad3b77 100644 --- a/docs/detailed-documentation/cluster/config.html +++ b/docs/detailed-documentation/cluster/config.html @@ -50,67 +50,225 @@

    Module codeflare_sdk.cluster.config

    Cluster object. """ -from dataclasses import dataclass, field import pathlib -import typing +import warnings +from dataclasses import dataclass, field, fields +from typing import Dict, List, Optional, Union, get_args, get_origin dir = pathlib.Path(__file__).parent.parent.resolve() +# https://docs.ray.io/en/latest/ray-core/scheduling/accelerators.html +DEFAULT_RESOURCE_MAPPING = { + "nvidia.com/gpu": "GPU", + "intel.com/gpu": "GPU", + "amd.com/gpu": "GPU", + "aws.amazon.com/neuroncore": "neuron_cores", + "google.com/tpu": "TPU", + "habana.ai/gaudi": "HPU", + "huawei.com/Ascend910": "NPU", + "huawei.com/Ascend310": "NPU", +} + @dataclass class ClusterConfiguration: """ This dataclass is used to specify resource requirements and other details, and is passed in as an argument when creating a Cluster object. + + Attributes: + - name: The name of the cluster. + - namespace: The namespace in which the cluster should be created. + - head_info: A list of strings containing information about the head node. + - head_cpus: The number of CPUs to allocate to the head node. + - head_memory: The amount of memory to allocate to the head node. + - head_gpus: The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests) + - head_extended_resource_requests: A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1} + - machine_types: A list of machine types to use for the cluster. + - min_cpus: The minimum number of CPUs to allocate to each worker. + - max_cpus: The maximum number of CPUs to allocate to each worker. + - num_workers: The number of workers to create. + - min_memory: The minimum amount of memory to allocate to each worker. + - max_memory: The maximum amount of memory to allocate to each worker. + - num_gpus: The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests) + - template: The path to the template file to use for the cluster. + - appwrapper: A boolean indicating whether to use an AppWrapper. + - envs: A dictionary of environment variables to set for the cluster. + - image: The image to use for the cluster. + - image_pull_secrets: A list of image pull secrets to use for the cluster. + - write_to_file: A boolean indicating whether to write the cluster configuration to a file. + - verify_tls: A boolean indicating whether to verify TLS when connecting to the cluster. + - labels: A dictionary of labels to apply to the cluster. + - worker_extended_resource_requests: A dictionary of extended resource requests for each worker. ex: {"nvidia.com/gpu": 1} + - extended_resource_mapping: A dictionary of custom resource mappings to map extended resource requests to RayCluster resource names + - overwrite_default_resource_mapping: A boolean indicating whether to overwrite the default resource mapping. """ name: str - namespace: str = None - head_info: list = field(default_factory=list) - head_cpus: typing.Union[int, str] = 2 - head_memory: typing.Union[int, str] = 8 - head_gpus: int = 0 - machine_types: list = field(default_factory=list) # ["m4.xlarge", "g4dn.xlarge"] - min_cpus: typing.Union[int, str] = 1 - max_cpus: typing.Union[int, str] = 1 + namespace: Optional[str] = None + head_info: List[str] = field(default_factory=list) + head_cpus: Union[int, str] = 2 + head_memory: Union[int, str] = 8 + head_gpus: Optional[int] = None # Deprecating + head_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + machine_types: List[str] = field( + default_factory=list + ) # ["m4.xlarge", "g4dn.xlarge"] + worker_cpu_requests: Union[int, str] = 1 + worker_cpu_limits: Union[int, str] = 1 + min_cpus: Optional[Union[int, str]] = None # Deprecating + max_cpus: Optional[Union[int, str]] = None # Deprecating num_workers: int = 1 - min_memory: typing.Union[int, str] = 2 - max_memory: typing.Union[int, str] = 2 - num_gpus: int = 0 + worker_memory_requests: Union[int, str] = 2 + worker_memory_limits: Union[int, str] = 2 + min_memory: Optional[Union[int, str]] = None # Deprecating + max_memory: Optional[Union[int, str]] = None # Deprecating + num_gpus: Optional[int] = None # Deprecating template: str = f"{dir}/templates/base-template.yaml" appwrapper: bool = False - envs: dict = field(default_factory=dict) + envs: Dict[str, str] = field(default_factory=dict) image: str = "" - image_pull_secrets: list = field(default_factory=list) + image_pull_secrets: List[str] = field(default_factory=list) write_to_file: bool = False verify_tls: bool = True - labels: dict = field(default_factory=dict) + labels: Dict[str, str] = field(default_factory=dict) + worker_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + extended_resource_mapping: Dict[str, str] = field(default_factory=dict) + overwrite_default_resource_mapping: bool = False + local_queue: Optional[str] = None def __post_init__(self): if not self.verify_tls: print( "Warning: TLS verification has been disabled - Endpoint checks will be bypassed" ) + + self._validate_types() self._memory_to_string() self._str_mem_no_unit_add_GB() + self._memory_to_resource() + self._cpu_to_resource() + self._gpu_to_resource() + self._combine_extended_resource_mapping() + self._validate_extended_resource_requests(self.head_extended_resource_requests) + self._validate_extended_resource_requests( + self.worker_extended_resource_requests + ) + + def _combine_extended_resource_mapping(self): + if overwritten := set(self.extended_resource_mapping.keys()).intersection( + DEFAULT_RESOURCE_MAPPING.keys() + ): + if self.overwrite_default_resource_mapping: + warnings.warn( + f"Overwriting default resource mapping for {overwritten}", + UserWarning, + ) + else: + raise ValueError( + f"Resource mapping already exists for {overwritten}, set overwrite_default_resource_mapping to True to overwrite" + ) + self.extended_resource_mapping = { + **DEFAULT_RESOURCE_MAPPING, + **self.extended_resource_mapping, + } + + def _validate_extended_resource_requests(self, extended_resources: Dict[str, int]): + for k in extended_resources.keys(): + if k not in self.extended_resource_mapping.keys(): + raise ValueError( + f"extended resource '{k}' not found in extended_resource_mapping, available resources are {list(self.extended_resource_mapping.keys())}, to add more supported resources use extended_resource_mapping. i.e. extended_resource_mapping = {{'{k}': 'FOO_BAR'}}" + ) + + def _gpu_to_resource(self): + if self.head_gpus: + warnings.warn( + f"head_gpus is being deprecated, replacing with head_extended_resource_requests['nvidia.com/gpu'] = {self.head_gpus}" + ) + if "nvidia.com/gpu" in self.head_extended_resource_requests: + raise ValueError( + "nvidia.com/gpu already exists in head_extended_resource_requests" + ) + self.head_extended_resource_requests["nvidia.com/gpu"] = self.head_gpus + if self.num_gpus: + warnings.warn( + f"num_gpus is being deprecated, replacing with worker_extended_resource_requests['nvidia.com/gpu'] = {self.num_gpus}" + ) + if "nvidia.com/gpu" in self.worker_extended_resource_requests: + raise ValueError( + "nvidia.com/gpu already exists in worker_extended_resource_requests" + ) + self.worker_extended_resource_requests["nvidia.com/gpu"] = self.num_gpus def _str_mem_no_unit_add_GB(self): if isinstance(self.head_memory, str) and self.head_memory.isdecimal(): self.head_memory = f"{self.head_memory}G" - if isinstance(self.min_memory, str) and self.min_memory.isdecimal(): - self.min_memory = f"{self.min_memory}G" - if isinstance(self.max_memory, str) and self.max_memory.isdecimal(): - self.max_memory = f"{self.max_memory}G" + if ( + isinstance(self.worker_memory_requests, str) + and self.worker_memory_requests.isdecimal() + ): + self.worker_memory_requests = f"{self.worker_memory_requests}G" + if ( + isinstance(self.worker_memory_limits, str) + and self.worker_memory_limits.isdecimal() + ): + self.worker_memory_limits = f"{self.worker_memory_limits}G" def _memory_to_string(self): if isinstance(self.head_memory, int): self.head_memory = f"{self.head_memory}G" - if isinstance(self.min_memory, int): - self.min_memory = f"{self.min_memory}G" - if isinstance(self.max_memory, int): - self.max_memory = f"{self.max_memory}G" + if isinstance(self.worker_memory_requests, int): + self.worker_memory_requests = f"{self.worker_memory_requests}G" + if isinstance(self.worker_memory_limits, int): + self.worker_memory_limits = f"{self.worker_memory_limits}G" + + def _cpu_to_resource(self): + if self.min_cpus: + warnings.warn("min_cpus is being deprecated, use worker_cpu_requests") + self.worker_cpu_requests = self.min_cpus + if self.max_cpus: + warnings.warn("max_cpus is being deprecated, use worker_cpu_limits") + self.worker_cpu_limits = self.max_cpus + + def _memory_to_resource(self): + if self.min_memory: + warnings.warn("min_memory is being deprecated, use worker_memory_requests") + self.worker_memory_requests = f"{self.min_memory}G" + if self.max_memory: + warnings.warn("max_memory is being deprecated, use worker_memory_limits") + self.worker_memory_limits = f"{self.max_memory}G" + + def _validate_types(self): + """Validate the types of all fields in the ClusterConfiguration dataclass.""" + for field_info in fields(self): + value = getattr(self, field_info.name) + expected_type = field_info.type + if not self._is_type(value, expected_type): + raise TypeError( + f"'{field_info.name}' should be of type {expected_type}" + ) + + @staticmethod + def _is_type(value, expected_type): + """Check if the value matches the expected type.""" + + def check_type(value, expected_type): + origin_type = get_origin(expected_type) + args = get_args(expected_type) + if origin_type is Union: + return any(check_type(value, union_type) for union_type in args) + if origin_type is list: + return all(check_type(elem, args[0]) for elem in value) + if origin_type is dict: + return all( + check_type(k, args[0]) and check_type(v, args[1]) + for k, v in value.items() + ) + if origin_type is tuple: + return all(check_type(elem, etype) for elem, etype in zip(value, args)) + return isinstance(value, expected_type) - local_queue: str = None     + return check_type(value, expected_type)
    @@ -124,11 +282,37 @@

    Classes

    class ClusterConfiguration -(name: str, namespace: str = None, head_info: list = <factory>, head_cpus: Union[int, str] = 2, head_memory: Union[int, str] = 8, head_gpus: int = 0, machine_types: list = <factory>, min_cpus: Union[int, str] = 1, max_cpus: Union[int, str] = 1, num_workers: int = 1, min_memory: Union[int, str] = 2, max_memory: Union[int, str] = 2, num_gpus: int = 0, template: str = '/home/runner/work/codeflare-sdk/codeflare-sdk/src/codeflare_sdk/templates/base-template.yaml', appwrapper: bool = False, envs: dict = <factory>, image: str = '', image_pull_secrets: list = <factory>, write_to_file: bool = False, verify_tls: bool = True, labels: dict = <factory>, local_queue: str = None) +(name: str, namespace: Optional[str] = None, head_info: List[str] = <factory>, head_cpus: Union[int, str] = 2, head_memory: Union[int, str] = 8, head_gpus: Optional[int] = None, head_extended_resource_requests: Dict[str, int] = <factory>, machine_types: List[str] = <factory>, worker_cpu_requests: Union[int, str] = 1, worker_cpu_limits: Union[int, str] = 1, min_cpus: Union[int, str, ForwardRef(None)] = None, max_cpus: Union[int, str, ForwardRef(None)] = None, num_workers: int = 1, worker_memory_requests: Union[int, str] = 2, worker_memory_limits: Union[int, str] = 2, min_memory: Union[int, str, ForwardRef(None)] = None, max_memory: Union[int, str, ForwardRef(None)] = None, num_gpus: Optional[int] = None, template: str = '/home/runner/work/codeflare-sdk/codeflare-sdk/src/codeflare_sdk/templates/base-template.yaml', appwrapper: bool = False, envs: Dict[str, str] = <factory>, image: str = '', image_pull_secrets: List[str] = <factory>, write_to_file: bool = False, verify_tls: bool = True, labels: Dict[str, str] = <factory>, worker_extended_resource_requests: Dict[str, int] = <factory>, extended_resource_mapping: Dict[str, str] = <factory>, overwrite_default_resource_mapping: bool = False, local_queue: Optional[str] = None)

    This dataclass is used to specify resource requirements and other details, and -is passed in as an argument when creating a Cluster object.

    +is passed in as an argument when creating a Cluster object.

    +

    Attributes: +- name: The name of the cluster. +- namespace: The namespace in which the cluster should be created. +- head_info: A list of strings containing information about the head node. +- head_cpus: The number of CPUs to allocate to the head node. +- head_memory: The amount of memory to allocate to the head node. +- head_gpus: The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests) +- head_extended_resource_requests: A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1} +- machine_types: A list of machine types to use for the cluster. +- min_cpus: The minimum number of CPUs to allocate to each worker. +- max_cpus: The maximum number of CPUs to allocate to each worker. +- num_workers: The number of workers to create. +- min_memory: The minimum amount of memory to allocate to each worker. +- max_memory: The maximum amount of memory to allocate to each worker. +- num_gpus: The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests) +- template: The path to the template file to use for the cluster. +- appwrapper: A boolean indicating whether to use an AppWrapper. +- envs: A dictionary of environment variables to set for the cluster. +- image: The image to use for the cluster. +- image_pull_secrets: A list of image pull secrets to use for the cluster. +- write_to_file: A boolean indicating whether to write the cluster configuration to a file. +- verify_tls: A boolean indicating whether to verify TLS when connecting to the cluster. +- labels: A dictionary of labels to apply to the cluster. +- worker_extended_resource_requests: A dictionary of extended resource requests for each worker. ex: {"nvidia.com/gpu": 1} +- extended_resource_mapping: A dictionary of custom resource mappings to map extended resource requests to RayCluster resource names +- overwrite_default_resource_mapping: A boolean indicating whether to overwrite the default resource mapping.

    Expand source code @@ -138,55 +322,200 @@

    Classes

    """ This dataclass is used to specify resource requirements and other details, and is passed in as an argument when creating a Cluster object. + + Attributes: + - name: The name of the cluster. + - namespace: The namespace in which the cluster should be created. + - head_info: A list of strings containing information about the head node. + - head_cpus: The number of CPUs to allocate to the head node. + - head_memory: The amount of memory to allocate to the head node. + - head_gpus: The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests) + - head_extended_resource_requests: A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1} + - machine_types: A list of machine types to use for the cluster. + - min_cpus: The minimum number of CPUs to allocate to each worker. + - max_cpus: The maximum number of CPUs to allocate to each worker. + - num_workers: The number of workers to create. + - min_memory: The minimum amount of memory to allocate to each worker. + - max_memory: The maximum amount of memory to allocate to each worker. + - num_gpus: The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests) + - template: The path to the template file to use for the cluster. + - appwrapper: A boolean indicating whether to use an AppWrapper. + - envs: A dictionary of environment variables to set for the cluster. + - image: The image to use for the cluster. + - image_pull_secrets: A list of image pull secrets to use for the cluster. + - write_to_file: A boolean indicating whether to write the cluster configuration to a file. + - verify_tls: A boolean indicating whether to verify TLS when connecting to the cluster. + - labels: A dictionary of labels to apply to the cluster. + - worker_extended_resource_requests: A dictionary of extended resource requests for each worker. ex: {"nvidia.com/gpu": 1} + - extended_resource_mapping: A dictionary of custom resource mappings to map extended resource requests to RayCluster resource names + - overwrite_default_resource_mapping: A boolean indicating whether to overwrite the default resource mapping. """ name: str - namespace: str = None - head_info: list = field(default_factory=list) - head_cpus: typing.Union[int, str] = 2 - head_memory: typing.Union[int, str] = 8 - head_gpus: int = 0 - machine_types: list = field(default_factory=list) # ["m4.xlarge", "g4dn.xlarge"] - min_cpus: typing.Union[int, str] = 1 - max_cpus: typing.Union[int, str] = 1 + namespace: Optional[str] = None + head_info: List[str] = field(default_factory=list) + head_cpus: Union[int, str] = 2 + head_memory: Union[int, str] = 8 + head_gpus: Optional[int] = None # Deprecating + head_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + machine_types: List[str] = field( + default_factory=list + ) # ["m4.xlarge", "g4dn.xlarge"] + worker_cpu_requests: Union[int, str] = 1 + worker_cpu_limits: Union[int, str] = 1 + min_cpus: Optional[Union[int, str]] = None # Deprecating + max_cpus: Optional[Union[int, str]] = None # Deprecating num_workers: int = 1 - min_memory: typing.Union[int, str] = 2 - max_memory: typing.Union[int, str] = 2 - num_gpus: int = 0 + worker_memory_requests: Union[int, str] = 2 + worker_memory_limits: Union[int, str] = 2 + min_memory: Optional[Union[int, str]] = None # Deprecating + max_memory: Optional[Union[int, str]] = None # Deprecating + num_gpus: Optional[int] = None # Deprecating template: str = f"{dir}/templates/base-template.yaml" appwrapper: bool = False - envs: dict = field(default_factory=dict) + envs: Dict[str, str] = field(default_factory=dict) image: str = "" - image_pull_secrets: list = field(default_factory=list) + image_pull_secrets: List[str] = field(default_factory=list) write_to_file: bool = False verify_tls: bool = True - labels: dict = field(default_factory=dict) + labels: Dict[str, str] = field(default_factory=dict) + worker_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + extended_resource_mapping: Dict[str, str] = field(default_factory=dict) + overwrite_default_resource_mapping: bool = False + local_queue: Optional[str] = None def __post_init__(self): if not self.verify_tls: print( "Warning: TLS verification has been disabled - Endpoint checks will be bypassed" ) + + self._validate_types() self._memory_to_string() self._str_mem_no_unit_add_GB() + self._memory_to_resource() + self._cpu_to_resource() + self._gpu_to_resource() + self._combine_extended_resource_mapping() + self._validate_extended_resource_requests(self.head_extended_resource_requests) + self._validate_extended_resource_requests( + self.worker_extended_resource_requests + ) + + def _combine_extended_resource_mapping(self): + if overwritten := set(self.extended_resource_mapping.keys()).intersection( + DEFAULT_RESOURCE_MAPPING.keys() + ): + if self.overwrite_default_resource_mapping: + warnings.warn( + f"Overwriting default resource mapping for {overwritten}", + UserWarning, + ) + else: + raise ValueError( + f"Resource mapping already exists for {overwritten}, set overwrite_default_resource_mapping to True to overwrite" + ) + self.extended_resource_mapping = { + **DEFAULT_RESOURCE_MAPPING, + **self.extended_resource_mapping, + } + + def _validate_extended_resource_requests(self, extended_resources: Dict[str, int]): + for k in extended_resources.keys(): + if k not in self.extended_resource_mapping.keys(): + raise ValueError( + f"extended resource '{k}' not found in extended_resource_mapping, available resources are {list(self.extended_resource_mapping.keys())}, to add more supported resources use extended_resource_mapping. i.e. extended_resource_mapping = {{'{k}': 'FOO_BAR'}}" + ) + + def _gpu_to_resource(self): + if self.head_gpus: + warnings.warn( + f"head_gpus is being deprecated, replacing with head_extended_resource_requests['nvidia.com/gpu'] = {self.head_gpus}" + ) + if "nvidia.com/gpu" in self.head_extended_resource_requests: + raise ValueError( + "nvidia.com/gpu already exists in head_extended_resource_requests" + ) + self.head_extended_resource_requests["nvidia.com/gpu"] = self.head_gpus + if self.num_gpus: + warnings.warn( + f"num_gpus is being deprecated, replacing with worker_extended_resource_requests['nvidia.com/gpu'] = {self.num_gpus}" + ) + if "nvidia.com/gpu" in self.worker_extended_resource_requests: + raise ValueError( + "nvidia.com/gpu already exists in worker_extended_resource_requests" + ) + self.worker_extended_resource_requests["nvidia.com/gpu"] = self.num_gpus def _str_mem_no_unit_add_GB(self): if isinstance(self.head_memory, str) and self.head_memory.isdecimal(): self.head_memory = f"{self.head_memory}G" - if isinstance(self.min_memory, str) and self.min_memory.isdecimal(): - self.min_memory = f"{self.min_memory}G" - if isinstance(self.max_memory, str) and self.max_memory.isdecimal(): - self.max_memory = f"{self.max_memory}G" + if ( + isinstance(self.worker_memory_requests, str) + and self.worker_memory_requests.isdecimal() + ): + self.worker_memory_requests = f"{self.worker_memory_requests}G" + if ( + isinstance(self.worker_memory_limits, str) + and self.worker_memory_limits.isdecimal() + ): + self.worker_memory_limits = f"{self.worker_memory_limits}G" def _memory_to_string(self): if isinstance(self.head_memory, int): self.head_memory = f"{self.head_memory}G" - if isinstance(self.min_memory, int): - self.min_memory = f"{self.min_memory}G" - if isinstance(self.max_memory, int): - self.max_memory = f"{self.max_memory}G" + if isinstance(self.worker_memory_requests, int): + self.worker_memory_requests = f"{self.worker_memory_requests}G" + if isinstance(self.worker_memory_limits, int): + self.worker_memory_limits = f"{self.worker_memory_limits}G" + + def _cpu_to_resource(self): + if self.min_cpus: + warnings.warn("min_cpus is being deprecated, use worker_cpu_requests") + self.worker_cpu_requests = self.min_cpus + if self.max_cpus: + warnings.warn("max_cpus is being deprecated, use worker_cpu_limits") + self.worker_cpu_limits = self.max_cpus + + def _memory_to_resource(self): + if self.min_memory: + warnings.warn("min_memory is being deprecated, use worker_memory_requests") + self.worker_memory_requests = f"{self.min_memory}G" + if self.max_memory: + warnings.warn("max_memory is being deprecated, use worker_memory_limits") + self.worker_memory_limits = f"{self.max_memory}G" + + def _validate_types(self): + """Validate the types of all fields in the ClusterConfiguration dataclass.""" + for field_info in fields(self): + value = getattr(self, field_info.name) + expected_type = field_info.type + if not self._is_type(value, expected_type): + raise TypeError( + f"'{field_info.name}' should be of type {expected_type}" + ) + + @staticmethod + def _is_type(value, expected_type): + """Check if the value matches the expected type.""" + + def check_type(value, expected_type): + origin_type = get_origin(expected_type) + args = get_args(expected_type) + if origin_type is Union: + return any(check_type(value, union_type) for union_type in args) + if origin_type is list: + return all(check_type(elem, args[0]) for elem in value) + if origin_type is dict: + return all( + check_type(k, args[0]) and check_type(v, args[1]) + for k, v in value.items() + ) + if origin_type is tuple: + return all(check_type(elem, etype) for elem, etype in zip(value, args)) + return isinstance(value, expected_type) - local_queue: str = None + return check_type(value, expected_type)

    Class variables

    @@ -194,7 +523,11 @@

    Class variables

    -
    var envs : dict
    +
    var envs : Dict[str, str]
    +
    +
    +
    +
    var extended_resource_mapping : Dict[str, str]
    @@ -202,11 +535,15 @@

    Class variables

    -
    var head_gpus : int
    +
    var head_extended_resource_requests : Dict[str, int]
    +
    +
    +
    +
    var head_gpus : Optional[int]
    -
    var head_info : list
    +
    var head_info : List[str]
    @@ -218,35 +555,35 @@

    Class variables

    -
    var image_pull_secrets : list
    +
    var image_pull_secrets : List[str]
    -
    var labels : dict
    +
    var labels : Dict[str, str]
    -
    var local_queue : str
    +
    var local_queue : Optional[str]
    -
    var machine_types : list
    +
    var machine_types : List[str]
    -
    var max_cpus : Union[int, str]
    +
    var max_cpus : Union[int, str, ForwardRef(None)]
    -
    var max_memory : Union[int, str]
    +
    var max_memory : Union[int, str, ForwardRef(None)]
    -
    var min_cpus : Union[int, str]
    +
    var min_cpus : Union[int, str, ForwardRef(None)]
    -
    var min_memory : Union[int, str]
    +
    var min_memory : Union[int, str, ForwardRef(None)]
    @@ -254,11 +591,11 @@

    Class variables

    -
    var namespace : str
    +
    var namespace : Optional[str]
    -
    var num_gpus : int
    +
    var num_gpus : Optional[int]
    @@ -266,6 +603,10 @@

    Class variables

    +
    var overwrite_default_resource_mapping : bool
    +
    +
    +
    var template : str
    @@ -274,6 +615,26 @@

    Class variables

    +
    var worker_cpu_limits : Union[int, str]
    +
    +
    +
    +
    var worker_cpu_requests : Union[int, str]
    +
    +
    +
    +
    var worker_extended_resource_requests : Dict[str, int]
    +
    +
    +
    +
    var worker_memory_limits : Union[int, str]
    +
    +
    +
    +
    var worker_memory_requests : Union[int, str]
    +
    +
    +
    var write_to_file : bool
    @@ -298,10 +659,12 @@

    Index

    class RayCluster -(name: str, status: RayClusterStatus, head_cpus: int, head_mem: str, head_gpu: int, workers: int, worker_mem_min: str, worker_mem_max: str, worker_cpu: int, worker_gpu: int, namespace: str, dashboard: str) +(name: str, status: RayClusterStatus, head_cpus: int, head_mem: str, workers: int, worker_mem_min: str, worker_mem_max: str, worker_cpu: int, namespace: str, dashboard: str, worker_extended_resources: Dict[str, int] = <factory>, head_extended_resources: Dict[str, int] = <factory>)

    For storing information about a Ray cluster.

    @@ -310,14 +311,14 @@

    Class variables

    status: RayClusterStatus head_cpus: int head_mem: str - head_gpu: int workers: int worker_mem_min: str worker_mem_max: str worker_cpu: int - worker_gpu: int namespace: str - dashboard: str + dashboard: str + worker_extended_resources: typing.Dict[str, int] = field(default_factory=dict) + head_extended_resources: typing.Dict[str, int] = field(default_factory=dict)

    Class variables

    @@ -329,7 +330,7 @@

    Class variables

    -
    var head_gpu : int
    +
    var head_extended_resources : Dict[str, int]
    @@ -353,7 +354,7 @@

    Class variables

    -
    var worker_gpu : int
    +
    var worker_extended_resources : Dict[str, int]
    @@ -471,16 +472,16 @@

    RayCluster

    -
      +
      • dashboard
      • head_cpus
        • -
      • head_gpu
        • +
      • head_extended_resources
      • head_mem
      • name
      • namespace
      • status
      • worker_cpu
        • -
      • worker_gpu
        • +
      • worker_extended_resources
      • worker_mem_max
      • worker_mem_min
      • workers
        • diff --git a/docs/detailed-documentation/index.html b/docs/detailed-documentation/index.html index 21bab3d1..fd74344f 100644 --- a/docs/detailed-documentation/index.html +++ b/docs/detailed-documentation/index.html @@ -46,7 +46,16 @@

        Package codeflare_sdk

        from .job import RayJobClient -from .utils import generate_cert +from .utils import generate_cert +from .utils.demos import copy_demo_nbs + +from importlib.metadata import version, PackageNotFoundError + +try: + __version__ = version("codeflare-sdk") # use metadata associated with built package + +except PackageNotFoundError: + __version__ = "v0.0.0"
    diff --git a/docs/detailed-documentation/utils/demos.html b/docs/detailed-documentation/utils/demos.html new file mode 100644 index 00000000..e0dc5a8e --- /dev/null +++ b/docs/detailed-documentation/utils/demos.html @@ -0,0 +1,138 @@ + + + + + + +codeflare_sdk.utils.demos API documentation + + + + + + + + + + + +
    +
    +
    +

    Module codeflare_sdk.utils.demos

    +
    +
    +
    + +Expand source code + +
    import pathlib
+import shutil
+
+package_dir = pathlib.Path(__file__).parent.parent.resolve()
+demo_dir = f"{package_dir}/demo-notebooks"
+
+
+def copy_demo_nbs(dir: str = "./demo-notebooks", overwrite: bool = False):
+    """
+    Copy the demo notebooks from the package to the current working directory
+
+    overwrite=True will overwrite any files that exactly match files written by copy_demo_nbs in the target directory.
+    Any files that exist in the directory that don't match these values will remain untouched.
+
+    Args:
+        dir (str): The directory to copy the demo notebooks to. Defaults to "./demo-notebooks". overwrite (bool):
+        overwrite (bool): Whether to overwrite files in the directory if it already exists. Defaults to False.
+    Raises:
+        FileExistsError: If the directory already exists.
+    """
+    # does dir exist already?
+    if overwrite is False and pathlib.Path(dir).exists():
+        raise FileExistsError(
+            f"Directory {dir} already exists. Please remove it or provide a different location."
+        )
+
+    shutil.copytree(demo_dir, dir, dirs_exist_ok=True)
    +
    +
    +
    +
    +
    +
    +
    +

    Functions

    +
    +
    +def copy_demo_nbs(dir: str = './demo-notebooks', overwrite: bool = False) +
    +
    +

    Copy the demo notebooks from the package to the current working directory

    +

    overwrite=True will overwrite any files that exactly match files written by copy_demo_nbs in the target directory. +Any files that exist in the directory that don't match these values will remain untouched.

    +

    Args

    +
    +
    dir : str
    +
    The directory to copy the demo notebooks to. Defaults to "./demo-notebooks". overwrite (bool):
    +
    overwrite : bool
    +
    Whether to overwrite files in the directory if it already exists. Defaults to False.
    +
    +

    Raises

    +
    +
    FileExistsError
    +
    If the directory already exists.
    +
    +
    + +Expand source code + +
    def copy_demo_nbs(dir: str = "./demo-notebooks", overwrite: bool = False):
+    """
+    Copy the demo notebooks from the package to the current working directory
+
+    overwrite=True will overwrite any files that exactly match files written by copy_demo_nbs in the target directory.
+    Any files that exist in the directory that don't match these values will remain untouched.
+
+    Args:
+        dir (str): The directory to copy the demo notebooks to. Defaults to "./demo-notebooks". overwrite (bool):
+        overwrite (bool): Whether to overwrite files in the directory if it already exists. Defaults to False.
+    Raises:
+        FileExistsError: If the directory already exists.
+    """
+    # does dir exist already?
+    if overwrite is False and pathlib.Path(dir).exists():
+        raise FileExistsError(
+            f"Directory {dir} already exists. Please remove it or provide a different location."
+        )
+
+    shutil.copytree(demo_dir, dir, dirs_exist_ok=True)
    +
    +
    +
    +
    +
    +
    +
    + +
    + + + diff --git a/docs/detailed-documentation/utils/generate_yaml.html b/docs/detailed-documentation/utils/generate_yaml.html index 1e421762..7b41e3c9 100644 --- a/docs/detailed-documentation/utils/generate_yaml.html +++ b/docs/detailed-documentation/utils/generate_yaml.html @@ -48,6 +48,7 @@

    Module codeflare_sdk.utils.generate_yaml

    (in the cluster sub-module) for AppWrapper generation. """ +import json from typing import Optional import typing import yaml @@ -61,6 +62,8 @@

    Module codeflare_sdk.utils.generate_yaml

    from os import urandom from base64 import b64encode from urllib3.util import parse_url +from kubernetes.client.exceptions import ApiException +import codeflare_sdk def read_template(template): @@ -108,16 +111,20 @@

    Module codeflare_sdk.utils.generate_yaml

    return False -def update_names(cluster_yaml, cluster_name, namespace): - meta = cluster_yaml.get("metadata") - meta["name"] = cluster_name - meta["namespace"] = namespace +def update_names( + cluster_yaml: dict, + cluster: "codeflare_sdk.cluster.Cluster", +): + metadata = cluster_yaml.get("metadata") + metadata["name"] = cluster.config.name + metadata["namespace"] = cluster.config.namespace def update_image(spec, image): containers = spec.get("containers") - for container in containers: - container["image"] = image + if image != "": + for container in containers: + container["image"] = image def update_image_pull_secrets(spec, image_pull_secrets): @@ -137,60 +144,118 @@

    Module codeflare_sdk.utils.generate_yaml

    container["env"] = env -def update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu): +def update_resources( + spec, + worker_cpu_requests, + worker_cpu_limits, + worker_memory_requests, + worker_memory_limits, + custom_resources, +): container = spec.get("containers") for resource in container: requests = resource.get("resources").get("requests") if requests is not None: - requests["cpu"] = min_cpu - requests["memory"] = min_memory - requests["nvidia.com/gpu"] = gpu + requests["cpu"] = worker_cpu_requests + requests["memory"] = worker_memory_requests limits = resource.get("resources").get("limits") if limits is not None: - limits["cpu"] = max_cpu - limits["memory"] = max_memory - limits["nvidia.com/gpu"] = gpu + limits["cpu"] = worker_cpu_limits + limits["memory"] = worker_memory_limits + for k in custom_resources.keys(): + limits[k] = custom_resources[k] + requests[k] = custom_resources[k] + + +def head_worker_gpu_count_from_cluster( + cluster: "codeflare_sdk.cluster.Cluster", +) -> typing.Tuple[int, int]: + head_gpus = 0 + worker_gpus = 0 + for k in cluster.config.head_extended_resource_requests.keys(): + resource_type = cluster.config.extended_resource_mapping[k] + if resource_type == "GPU": + head_gpus += int(cluster.config.head_extended_resource_requests[k]) + for k in cluster.config.worker_extended_resource_requests.keys(): + resource_type = cluster.config.extended_resource_mapping[k] + if resource_type == "GPU": + worker_gpus += int(cluster.config.worker_extended_resource_requests[k]) + + return head_gpus, worker_gpus + + +FORBIDDEN_CUSTOM_RESOURCE_TYPES = ["GPU", "CPU", "memory"] + + +def head_worker_resources_from_cluster( + cluster: "codeflare_sdk.cluster.Cluster", +) -> typing.Tuple[dict, dict]: + to_return = {}, {} + for k in cluster.config.head_extended_resource_requests.keys(): + resource_type = cluster.config.extended_resource_mapping[k] + if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES: + continue + to_return[0][resource_type] = cluster.config.head_extended_resource_requests[ + k + ] + to_return[0].get(resource_type, 0) + + for k in cluster.config.worker_extended_resource_requests.keys(): + resource_type = cluster.config.extended_resource_mapping[k] + if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES: + continue + to_return[1][resource_type] = cluster.config.worker_extended_resource_requests[ + k + ] + to_return[1].get(resource_type, 0) + return to_return def update_nodes( - cluster_yaml, - appwrapper_name, - min_cpu, - max_cpu, - min_memory, - max_memory, - gpu, - workers, - image, - env, - image_pull_secrets, - head_cpus, - head_memory, - head_gpus, + ray_cluster_dict: dict, + cluster: "codeflare_sdk.cluster.Cluster", ): - head = cluster_yaml.get("spec").get("headGroupSpec") - head["rayStartParams"]["num-gpus"] = str(int(head_gpus)) + head = ray_cluster_dict.get("spec").get("headGroupSpec") + worker = ray_cluster_dict.get("spec").get("workerGroupSpecs")[0] + head_gpus, worker_gpus = head_worker_gpu_count_from_cluster(cluster) + head_resources, worker_resources = head_worker_resources_from_cluster(cluster) + head_resources = json.dumps(head_resources).replace('"', '\\"') + head_resources = f'"{head_resources}"' + worker_resources = json.dumps(worker_resources).replace('"', '\\"') + worker_resources = f'"{worker_resources}"' + head["rayStartParams"]["num-gpus"] = str(head_gpus) + head["rayStartParams"]["resources"] = head_resources - worker = cluster_yaml.get("spec").get("workerGroupSpecs")[0] # Head counts as first worker - worker["replicas"] = workers - worker["minReplicas"] = workers - worker["maxReplicas"] = workers - worker["groupName"] = "small-group-" + appwrapper_name - worker["rayStartParams"]["num-gpus"] = str(int(gpu)) + worker["replicas"] = cluster.config.num_workers + worker["minReplicas"] = cluster.config.num_workers + worker["maxReplicas"] = cluster.config.num_workers + worker["groupName"] = "small-group-" + cluster.config.name + worker["rayStartParams"]["num-gpus"] = str(worker_gpus) + worker["rayStartParams"]["resources"] = worker_resources for comp in [head, worker]: spec = comp.get("template").get("spec") - update_image_pull_secrets(spec, image_pull_secrets) - update_image(spec, image) - update_env(spec, env) + update_image_pull_secrets(spec, cluster.config.image_pull_secrets) + update_image(spec, cluster.config.image) + update_env(spec, cluster.config.envs) if comp == head: # TODO: Eventually add head node configuration outside of template update_resources( - spec, head_cpus, head_cpus, head_memory, head_memory, head_gpus + spec, + cluster.config.head_cpus, + cluster.config.head_cpus, + cluster.config.head_memory, + cluster.config.head_memory, + cluster.config.head_extended_resource_requests, ) else: - update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu) + update_resources( + spec, + cluster.config.worker_cpu_requests, + cluster.config.worker_cpu_limits, + cluster.config.worker_memory_requests, + cluster.config.worker_memory_limits, + cluster.config.worker_extended_resource_requests, + ) def del_from_list_by_name(l: list, target: typing.List[str]) -> list: @@ -208,8 +273,11 @@

    Module codeflare_sdk.utils.generate_yaml

    namespace=namespace, plural="localqueues", ) - except Exception as e: # pragma: no cover - return _kube_api_error_handling(e) + except ApiException as e: # pragma: no cover + if e.status == 404 or e.status == 403: + return + else: + return _kube_api_error_handling(e) for lq in local_queues["items"]: if ( "annotations" in lq["metadata"] @@ -218,9 +286,6 @@

    Module codeflare_sdk.utils.generate_yaml

    == "true" ): return lq["metadata"]["name"] - raise ValueError( - "Default Local Queue with kueue.x-k8s.io/default-queue: true annotation not found please create a default Local Queue or provide the local_queue name in Cluster Configuration" - ) def local_queue_exists(namespace: str, local_queue_name: str): @@ -245,7 +310,9 @@

    Module codeflare_sdk.utils.generate_yaml

    def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]): lq_name = local_queue or get_default_kueue_name(namespace) - if not local_queue_exists(namespace, lq_name): + if lq_name == None: + return + elif not local_queue_exists(namespace, lq_name): raise ValueError( "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration" ) @@ -291,65 +358,32 @@

    Module codeflare_sdk.utils.generate_yaml

    print(f"Written to: {output_file_name}") -def generate_appwrapper( - name: str, - namespace: str, - head_cpus: int, - head_memory: int, - head_gpus: int, - min_cpu: int, - max_cpu: int, - min_memory: int, - max_memory: int, - gpu: int, - workers: int, - template: str, - image: str, - appwrapper: bool, - env, - image_pull_secrets: list, - write_to_file: bool, - local_queue: Optional[str], - labels, -): - cluster_yaml = read_template(template) - appwrapper_name, cluster_name = gen_names(name) - update_names(cluster_yaml, cluster_name, namespace) - update_nodes( +def generate_appwrapper(cluster: "codeflare_sdk.cluster.Cluster"): + cluster_yaml = read_template(cluster.config.template) + appwrapper_name, _ = gen_names(cluster.config.name) + update_names( cluster_yaml, - appwrapper_name, - min_cpu, - max_cpu, - min_memory, - max_memory, - gpu, - workers, - image, - env, - image_pull_secrets, - head_cpus, - head_memory, - head_gpus, + cluster, ) - augment_labels(cluster_yaml, labels) + update_nodes(cluster_yaml, cluster) + augment_labels(cluster_yaml, cluster.config.labels) notebook_annotations(cluster_yaml) - user_yaml = ( - wrap_cluster(cluster_yaml, appwrapper_name, namespace) - if appwrapper + wrap_cluster(cluster_yaml, appwrapper_name, cluster.config.namespace) + if cluster.config.appwrapper else cluster_yaml ) - add_queue_label(user_yaml, namespace, local_queue) + add_queue_label(user_yaml, cluster.config.namespace, cluster.config.local_queue) - if write_to_file: + if cluster.config.write_to_file: directory_path = os.path.expanduser("~/.codeflare/resources/") outfile = os.path.join(directory_path, appwrapper_name + ".yaml") write_user_yaml(user_yaml, outfile) return outfile else: user_yaml = yaml.dump(user_yaml) - print(f"Yaml resources loaded for {name}") + print(f"Yaml resources loaded for {cluster.config.name}") return user_yaml
    @@ -371,7 +405,9 @@

    Functions

    def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]):
     lq_name = local_queue or get_default_kueue_name(namespace)
-    if not local_queue_exists(namespace, lq_name):
+    if lq_name == None:
+        return
+    elif not local_queue_exists(namespace, lq_name):
         raise ValueError(
             "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
         )
@@ -428,7 +464,7 @@ 
    Functions
    
 
 
 
    
-def generate_appwrapper(name: str, namespace: str, head_cpus: int, head_memory: int, head_gpus: int, min_cpu: int, max_cpu: int, min_memory: int, max_memory: int, gpu: int, workers: int, template: str, image: str, appwrapper: bool, env, image_pull_secrets: list, write_to_file: bool, local_queue: Optional[str], labels)
+def generate_appwrapper(cluster: codeflare_sdk.cluster.Cluster)
 
    
 
    
 
    
@@ -436,65 +472,32 @@ 
    Functions
    
 
 Expand source code
 
-
    def generate_appwrapper(
-    name: str,
-    namespace: str,
-    head_cpus: int,
-    head_memory: int,
-    head_gpus: int,
-    min_cpu: int,
-    max_cpu: int,
-    min_memory: int,
-    max_memory: int,
-    gpu: int,
-    workers: int,
-    template: str,
-    image: str,
-    appwrapper: bool,
-    env,
-    image_pull_secrets: list,
-    write_to_file: bool,
-    local_queue: Optional[str],
-    labels,
-):
-    cluster_yaml = read_template(template)
-    appwrapper_name, cluster_name = gen_names(name)
-    update_names(cluster_yaml, cluster_name, namespace)
-    update_nodes(
+
    def generate_appwrapper(cluster: "codeflare_sdk.cluster.Cluster"):
+    cluster_yaml = read_template(cluster.config.template)
+    appwrapper_name, _ = gen_names(cluster.config.name)
+    update_names(
         cluster_yaml,
-        appwrapper_name,
-        min_cpu,
-        max_cpu,
-        min_memory,
-        max_memory,
-        gpu,
-        workers,
-        image,
-        env,
-        image_pull_secrets,
-        head_cpus,
-        head_memory,
-        head_gpus,
+        cluster,
     )
-    augment_labels(cluster_yaml, labels)
+    update_nodes(cluster_yaml, cluster)
+    augment_labels(cluster_yaml, cluster.config.labels)
     notebook_annotations(cluster_yaml)
-
     user_yaml = (
-        wrap_cluster(cluster_yaml, appwrapper_name, namespace)
-        if appwrapper
+        wrap_cluster(cluster_yaml, appwrapper_name, cluster.config.namespace)
+        if cluster.config.appwrapper
         else cluster_yaml
     )
 
-    add_queue_label(user_yaml, namespace, local_queue)
+    add_queue_label(user_yaml, cluster.config.namespace, cluster.config.local_queue)
 
-    if write_to_file:
+    if cluster.config.write_to_file:
         directory_path = os.path.expanduser("~/.codeflare/resources/")
         outfile = os.path.join(directory_path, appwrapper_name + ".yaml")
         write_user_yaml(user_yaml, outfile)
         return outfile
     else:
         user_yaml = yaml.dump(user_yaml)
-        print(f"Yaml resources loaded for {name}")
+        print(f"Yaml resources loaded for {cluster.config.name}")
         return user_yaml
    
 
 
    
@@ -518,8 +521,11 @@ 
    Functions
    
             namespace=namespace,
             plural="localqueues",
         )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
+    except ApiException as e:  # pragma: no cover
+        if e.status == 404 or e.status == 403:
+            return
+        else:
+            return _kube_api_error_handling(e)
     for lq in local_queues["items"]:
         if (
             "annotations" in lq["metadata"]
@@ -527,10 +533,64 @@ 
    Functions
    
             and lq["metadata"]["annotations"]["kueue.x-k8s.io/default-queue"].lower()
             == "true"
         ):
-            return lq["metadata"]["name"]
-    raise ValueError(
-        "Default Local Queue with kueue.x-k8s.io/default-queue: true annotation not found please create a default Local Queue or provide the local_queue name in Cluster Configuration"
-    )
    + return lq["metadata"]["name"] + + +
    +def head_worker_gpu_count_from_cluster(cluster: codeflare_sdk.cluster.Cluster) ‑> Tuple[int, int] +
    +
    +
    +
    + +Expand source code + +
    def head_worker_gpu_count_from_cluster(
+    cluster: "codeflare_sdk.cluster.Cluster",
+) -> typing.Tuple[int, int]:
+    head_gpus = 0
+    worker_gpus = 0
+    for k in cluster.config.head_extended_resource_requests.keys():
+        resource_type = cluster.config.extended_resource_mapping[k]
+        if resource_type == "GPU":
+            head_gpus += int(cluster.config.head_extended_resource_requests[k])
+    for k in cluster.config.worker_extended_resource_requests.keys():
+        resource_type = cluster.config.extended_resource_mapping[k]
+        if resource_type == "GPU":
+            worker_gpus += int(cluster.config.worker_extended_resource_requests[k])
+
+    return head_gpus, worker_gpus
    +
    +
    +
    +def head_worker_resources_from_cluster(cluster: codeflare_sdk.cluster.Cluster) ‑> Tuple[dict, dict] +
    +
    +
    +
    + +Expand source code + +
    def head_worker_resources_from_cluster(
+    cluster: "codeflare_sdk.cluster.Cluster",
+) -> typing.Tuple[dict, dict]:
+    to_return = {}, {}
+    for k in cluster.config.head_extended_resource_requests.keys():
+        resource_type = cluster.config.extended_resource_mapping[k]
+        if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES:
+            continue
+        to_return[0][resource_type] = cluster.config.head_extended_resource_requests[
+            k
+        ] + to_return[0].get(resource_type, 0)
+
+    for k in cluster.config.worker_extended_resource_requests.keys():
+        resource_type = cluster.config.extended_resource_mapping[k]
+        if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES:
+            continue
+        to_return[1][resource_type] = cluster.config.worker_extended_resource_requests[
+            k
+        ] + to_return[1].get(resource_type, 0)
+    return to_return
    @@ -672,8 +732,9 @@

    Functions

    def update_image(spec, image):
     containers = spec.get("containers")
-    for container in containers:
-        container["image"] = image
    + if image != "": + for container in containers: + container["image"] = image
    @@ -693,7 +754,7 @@

    Functions

    -def update_names(cluster_yaml, cluster_name, namespace) +def update_names(cluster_yaml: dict, cluster: codeflare_sdk.cluster.Cluster)
    @@ -701,14 +762,17 @@

    Functions

    Expand source code -
    def update_names(cluster_yaml, cluster_name, namespace):
-    meta = cluster_yaml.get("metadata")
-    meta["name"] = cluster_name
-    meta["namespace"] = namespace
    +
    def update_names(
+    cluster_yaml: dict,
+    cluster: "codeflare_sdk.cluster.Cluster",
+):
+    metadata = cluster_yaml.get("metadata")
+    metadata["name"] = cluster.config.name
+    metadata["namespace"] = cluster.config.namespace
    -def update_nodes(cluster_yaml, appwrapper_name, min_cpu, max_cpu, min_memory, max_memory, gpu, workers, image, env, image_pull_secrets, head_cpus, head_memory, head_gpus) +def update_nodes(ray_cluster_dict: dict, cluster: codeflare_sdk.cluster.Cluster)
    @@ -717,48 +781,56 @@

    Functions

    Expand source code 
    def update_nodes(
-    cluster_yaml,
-    appwrapper_name,
-    min_cpu,
-    max_cpu,
-    min_memory,
-    max_memory,
-    gpu,
-    workers,
-    image,
-    env,
-    image_pull_secrets,
-    head_cpus,
-    head_memory,
-    head_gpus,
+    ray_cluster_dict: dict,
+    cluster: "codeflare_sdk.cluster.Cluster",
 ):
-    head = cluster_yaml.get("spec").get("headGroupSpec")
-    head["rayStartParams"]["num-gpus"] = str(int(head_gpus))
+    head = ray_cluster_dict.get("spec").get("headGroupSpec")
+    worker = ray_cluster_dict.get("spec").get("workerGroupSpecs")[0]
+    head_gpus, worker_gpus = head_worker_gpu_count_from_cluster(cluster)
+    head_resources, worker_resources = head_worker_resources_from_cluster(cluster)
+    head_resources = json.dumps(head_resources).replace('"', '\\"')
+    head_resources = f'"{head_resources}"'
+    worker_resources = json.dumps(worker_resources).replace('"', '\\"')
+    worker_resources = f'"{worker_resources}"'
+    head["rayStartParams"]["num-gpus"] = str(head_gpus)
+    head["rayStartParams"]["resources"] = head_resources
 
-    worker = cluster_yaml.get("spec").get("workerGroupSpecs")[0]
     # Head counts as first worker
-    worker["replicas"] = workers
-    worker["minReplicas"] = workers
-    worker["maxReplicas"] = workers
-    worker["groupName"] = "small-group-" + appwrapper_name
-    worker["rayStartParams"]["num-gpus"] = str(int(gpu))
+    worker["replicas"] = cluster.config.num_workers
+    worker["minReplicas"] = cluster.config.num_workers
+    worker["maxReplicas"] = cluster.config.num_workers
+    worker["groupName"] = "small-group-" + cluster.config.name
+    worker["rayStartParams"]["num-gpus"] = str(worker_gpus)
+    worker["rayStartParams"]["resources"] = worker_resources
 
     for comp in [head, worker]:
         spec = comp.get("template").get("spec")
-        update_image_pull_secrets(spec, image_pull_secrets)
-        update_image(spec, image)
-        update_env(spec, env)
+        update_image_pull_secrets(spec, cluster.config.image_pull_secrets)
+        update_image(spec, cluster.config.image)
+        update_env(spec, cluster.config.envs)
         if comp == head:
             # TODO: Eventually add head node configuration outside of template
             update_resources(
-                spec, head_cpus, head_cpus, head_memory, head_memory, head_gpus
+                spec,
+                cluster.config.head_cpus,
+                cluster.config.head_cpus,
+                cluster.config.head_memory,
+                cluster.config.head_memory,
+                cluster.config.head_extended_resource_requests,
             )
         else:
-            update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu)
    + update_resources( + spec, + cluster.config.worker_cpu_requests, + cluster.config.worker_cpu_limits, + cluster.config.worker_memory_requests, + cluster.config.worker_memory_limits, + cluster.config.worker_extended_resource_requests, + )
    -def update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu) +def update_resources(spec, worker_cpu_requests, worker_cpu_limits, worker_memory_requests, worker_memory_limits, custom_resources)
    @@ -766,19 +838,27 @@

    Functions

    Expand source code -
    def update_resources(spec, min_cpu, max_cpu, min_memory, max_memory, gpu):
+
    def update_resources(
+    spec,
+    worker_cpu_requests,
+    worker_cpu_limits,
+    worker_memory_requests,
+    worker_memory_limits,
+    custom_resources,
+):
     container = spec.get("containers")
     for resource in container:
         requests = resource.get("resources").get("requests")
         if requests is not None:
-            requests["cpu"] = min_cpu
-            requests["memory"] = min_memory
-            requests["nvidia.com/gpu"] = gpu
+            requests["cpu"] = worker_cpu_requests
+            requests["memory"] = worker_memory_requests
         limits = resource.get("resources").get("limits")
         if limits is not None:
-            limits["cpu"] = max_cpu
-            limits["memory"] = max_memory
-            limits["nvidia.com/gpu"] = gpu
    
+            limits["cpu"] = worker_cpu_limits
+            limits["memory"] = worker_memory_limits
+        for k in custom_resources.keys():
+            limits[k] = custom_resources[k]
+            requests[k] = custom_resources[k]
    @@ -844,6 +924,8 @@

    Index

  • gen_names
  • generate_appwrapper
  • get_default_kueue_name
    • +
  • head_worker_gpu_count_from_cluster
    • +
  • head_worker_resources_from_cluster
  • is_kind_cluster
  • is_openshift_cluster
  • local_queue_exists
    • diff --git a/docs/detailed-documentation/utils/index.html b/docs/detailed-documentation/utils/index.html index 1eb081d2..4a65cc39 100644 --- a/docs/detailed-documentation/utils/index.html +++ b/docs/detailed-documentation/utils/index.html @@ -26,6 +26,10 @@

    Module codeflare_sdk.utils

    Sub-modules

    +
    codeflare_sdk.utils.demos
    +
    +
    +
    codeflare_sdk.utils.generate_cert
    @@ -67,6 +71,7 @@

    Index

  • Sub-modules

      +
    • codeflare_sdk.utils.demos
    • codeflare_sdk.utils.generate_cert
    • codeflare_sdk.utils.generate_yaml
    • codeflare_sdk.utils.kube_api_helpers
      • diff --git a/docs/detailed-documentation/utils/pretty_print.html b/docs/detailed-documentation/utils/pretty_print.html index 2e7a69b8..cbffd122 100644 --- a/docs/detailed-documentation/utils/pretty_print.html +++ b/docs/detailed-documentation/utils/pretty_print.html @@ -169,7 +169,7 @@

      Module codeflare_sdk.utils.pretty_print

      workers = str(cluster.workers) memory = f"{cluster.worker_mem_min}~{cluster.worker_mem_max}" cpu = str(cluster.worker_cpu) - gpu = str(cluster.worker_gpu) + gpu = str(cluster.worker_extended_resources.get("nvidia.com/gpu", 0)) #'table0' to display the cluster name, status, url, and dashboard link table0 = Table(box=None, show_header=False) @@ -347,7 +347,7 @@

      Functions

      workers = str(cluster.workers) memory = f"{cluster.worker_mem_min}~{cluster.worker_mem_max}" cpu = str(cluster.worker_cpu) - gpu = str(cluster.worker_gpu) + gpu = str(cluster.worker_extended_resources.get("nvidia.com/gpu", 0)) #'table0' to display the cluster name, status, url, and dashboard link table0 = Table(box=None, show_header=False) From 9a8603d28d3fdec32cd5af1882913ce96af10721 Mon Sep 17 00:00:00 2001 From: Karel Suta Date: Fri, 26 Jul 2024 15:47:26 +0200 Subject: [PATCH 065/254] Fix 2_basic_interactive.ipynb to run properly in guided demos PR check --- README.md | 2 +- demo-notebooks/guided-demos/2_basic_interactive.ipynb | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 3b3c8b14..a98f542c 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ An intuitive, easy-to-use python interface for batch resource requesting, access For guided demos and basics walkthroughs, check out the following links: -- Guided demo notebooks available [here](https://github.com/project-codeflare/codeflare-sdk/tree/main/src/demo-notebooks/guided-demos), and copies of the notebooks with [expected output](https://github.com/project-codeflare/codeflare-sdk/tree/main/src/demo-notebooks/guided-demos/notebook-ex-outputs) also available +- Guided demo notebooks available [here](https://github.com/project-codeflare/codeflare-sdk/tree/main/demo-notebooks/guided-demos), and copies of the notebooks with [expected output](https://github.com/project-codeflare/codeflare-sdk/tree/main/demo-notebooks/guided-demos/notebook-ex-outputs) also available - these demos can be copied into your current working directory when using the `codeflare-sdk` by using the `codeflare_sdk.copy_demo_nbs()` function - Additionally, we have a [video walkthrough](https://www.youtube.com/watch?v=U76iIfd9EmE) of these basic demos from June, 2023 diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb index 5ce94a21..e344ff35 100644 --- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -65,10 +65,10 @@ " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", " num_gpus=1,\n", " num_workers=2,\n", - " min_cpus=2,\n", - " max_cpus=2,\n", - " min_memory=8,\n", - " max_memory=8,\n", + " min_cpus='250m',\n", + " max_cpus=1,\n", + " min_memory=4,\n", + " max_memory=6,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", From f7518fab70d69a03464db49283d4cd23ddbc99a1 Mon Sep 17 00:00:00 2001 From: ChristianZaccaria Date: Wed, 31 Jul 2024 13:52:06 +0100 Subject: [PATCH 066/254] Add optimised dependabot --- .github/dependabot.yml | 29 +++++++++++++++++++++++++++++ tests/unit_test.py | 9 +++++++-- tests/unit_test_support.py | 8 ++++++++ 3 files changed, 44 insertions(+), 2 deletions(-) create mode 100644 .github/dependabot.yml diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 00000000..fb121a71 --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,29 @@ +# Please see the documentation for all configuration options: +# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file + +version: 2 +updates: + # This is to update requirements.txt files in the guided-demos, and e2e directories. + # The group configuration option is used to group updates for consistency across related directories. + - package-ecosystem: "pip" + directories: + - "**/demo-notebooks/guided-demos*" + - "/tests/e2e" + schedule: + interval: "weekly" + groups: + requirements.txt: + patterns: + - "*" + open-pull-requests-limit: 10 + labels: + - "test-guided-notebooks" + + # pip means poetry in this case, this keeps poetry.lock up to date with constraints in pyproject.toml. + - package-ecosystem: "pip" + directory: "/" + schedule: + interval: "weekly" + open-pull-requests-limit: 10 + labels: + - "test-guided-notebooks" diff --git a/tests/unit_test.py b/tests/unit_test.py index 2709894e..ba937d87 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -68,6 +68,7 @@ createClusterWithConfig, createClusterConfig, createClusterWrongType, + get_package_and_version, ) import codeflare_sdk.utils.kube_api_helpers @@ -2832,9 +2833,13 @@ def test_rjc_tail_job_logs(ray_job_client, mocker): def test_rjc_list_jobs(ray_job_client, mocker): + requirements_path = "tests/e2e/mnist_pip_requirements.txt" + pytorch_lightning = get_package_and_version("pytorch_lightning", requirements_path) + torchmetrics = get_package_and_version("torchmetrics", requirements_path) + torchvision = get_package_and_version("torchvision", requirements_path) jobs_list = [ - "JobDetails(type=, job_id=None, submission_id='raysubmit_4k2NYS1YbRXYPZCM', driver_info=None, status=, entrypoint='python mnist.py', message='Job finished successfully.', error_type=None, start_time=1701352132585, end_time=1701352192002, metadata={}, runtime_env={'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {'packages': ['pytorch_lightning==1.9.5', 'ray_lightning', 'torchmetrics==0.9.1', 'torchvision==0.12.0'], 'pip_check': False}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')", - "JobDetails(type=, job_id=None, submission_id='raysubmit_iRuwU8vdkbUZZGvT', driver_info=None, status=, entrypoint='python mnist.py', message='Job was intentionally stopped.', error_type=None, start_time=1701353096163, end_time=1701353097733, metadata={}, runtime_env={'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {'packages': ['pytorch_lightning==1.9.5', 'ray_lightning', 'torchmetrics==0.9.1', 'torchvision==0.12.0'], 'pip_check': False}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')", + f"JobDetails(type=, job_id=None, submission_id='raysubmit_4k2NYS1YbRXYPZCM', driver_info=None, status=, entrypoint='python mnist.py', message='Job finished successfully.', error_type=None, start_time=1701352132585, end_time=1701352192002, metadata={{}}, runtime_env={{'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {{'packages': ['{pytorch_lightning}', 'ray_lightning', '{torchmetrics}', '{torchvision}'], 'pip_check': False}}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')", + f"JobDetails(type=, job_id=None, submission_id='raysubmit_iRuwU8vdkbUZZGvT', driver_info=None, status=, entrypoint='python mnist.py', message='Job was intentionally stopped.', error_type=None, start_time=1701353096163, end_time=1701353097733, metadata={{}}, runtime_env={{'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {{'packages': ['{pytorch_lightning}', 'ray_lightning', '{torchmetrics}', '{torchvision}'], 'pip_check': False}}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')", ] mocked_rjc_list_jobs = mocker.patch.object( JobSubmissionClient, "list_jobs", return_value=jobs_list diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index 9fcdd5a5..dd8c2fce 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -50,3 +50,11 @@ def createClusterWrongType(): labels={1: 1}, ) return config + + +def get_package_and_version(package_name, requirements_file_path): + with open(requirements_file_path, "r") as file: + for line in file: + if line.strip().startswith(f"{package_name}=="): + return line.strip() + return None From 3f39521e70d1bbf64a257cbe580a4207d1057afc Mon Sep 17 00:00:00 2001 From: ChristianZaccaria Date: Thu, 1 Aug 2024 11:37:15 +0100 Subject: [PATCH 067/254] Change custom-nb-image/requirements.txt path to exclude from dependency bumps --- custom-nb-image/Dockerfile | 2 +- custom-nb-image/{ => requirements}/requirements.txt | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename custom-nb-image/{ => requirements}/requirements.txt (100%) diff --git a/custom-nb-image/Dockerfile b/custom-nb-image/Dockerfile index a656618e..fca83e25 100644 --- a/custom-nb-image/Dockerfile +++ b/custom-nb-image/Dockerfile @@ -14,7 +14,7 @@ FROM quay.io/opendatahub/notebooks:jupyter-minimal-ubi9-python-3.9-2023a_20230302 -COPY requirements.txt requirements.txt +COPY requirements/requirements.txt requirements.txt RUN pip install -r requirements.txt diff --git a/custom-nb-image/requirements.txt b/custom-nb-image/requirements/requirements.txt similarity index 100% rename from custom-nb-image/requirements.txt rename to custom-nb-image/requirements/requirements.txt From b026faeb7cc0b846c1418ff90de3ee5cbc50a607 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 2 Aug 2024 11:18:27 +0000 Subject: [PATCH 068/254] Bump pytest-timeout from 2.2.0 to 2.3.1 Bumps [pytest-timeout](https://github.com/pytest-dev/pytest-timeout) from 2.2.0 to 2.3.1. - [Commits](https://github.com/pytest-dev/pytest-timeout/compare/2.2.0...2.3.1) --- updated-dependencies: - dependency-name: pytest-timeout dependency-type: direct:development update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] --- poetry.lock | 10 +++++----- pyproject.toml | 2 +- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/poetry.lock b/poetry.lock index 02398113..bd9102d3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2061,17 +2061,17 @@ dev = ["pre-commit", "pytest-asyncio", "tox"] [[package]] name = "pytest-timeout" -version = "2.2.0" +version = "2.3.1" description = "pytest plugin to abort hanging tests" optional = false python-versions = ">=3.7" files = [ - {file = "pytest-timeout-2.2.0.tar.gz", hash = "sha256:3b0b95dabf3cb50bac9ef5ca912fa0cfc286526af17afc806824df20c2f72c90"}, - {file = "pytest_timeout-2.2.0-py3-none-any.whl", hash = "sha256:bde531e096466f49398a59f2dde76fa78429a09a12411466f88a07213e220de2"}, + {file = "pytest-timeout-2.3.1.tar.gz", hash = "sha256:12397729125c6ecbdaca01035b9e5239d4db97352320af155b3f5de1ba5165d9"}, + {file = "pytest_timeout-2.3.1-py3-none-any.whl", hash = "sha256:68188cb703edfc6a18fad98dc25a3c61e9f24d644b0b70f33af545219fc7813e"}, ] [package.dependencies] -pytest = ">=5.0.0" +pytest = ">=7.0.0" [[package]] name = "python-dateutil" @@ -2807,4 +2807,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "70c25813b589204a08c4143380cb8fe06de901dd6a83162b8f93a51945072629" +content-hash = "7bb89ee82f06208a09aecaa8f4f31aa2e06194e79eae305546d255d13e895368" diff --git a/pyproject.toml b/pyproject.toml index be225e90..44f68d46 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -43,7 +43,7 @@ optional = true pytest = "7.4.0" coverage = "7.2.7" pytest-mock = "3.11.1" -pytest-timeout = "2.2.0" +pytest-timeout = "2.3.1" [tool.pytest.ini_options] filterwarnings = [ From 4017d8b1a9336f5a0636ffb21e356fe08f0b92e5 Mon Sep 17 00:00:00 2001 From: Srihari Venkataramaiah Date: Fri, 9 Aug 2024 10:26:05 +0530 Subject: [PATCH 069/254] Add Ray Cluster Upgrade test for Ray Job Long Running scenarios (#614) --- tests/e2e/mnist_sleep.py | 72 +++++++ .../raycluster_sdk_upgrade_sleep_test.py | 175 ++++++++++++++++++ 2 files changed, 247 insertions(+) create mode 100644 tests/e2e/mnist_sleep.py create mode 100644 tests/upgrade/raycluster_sdk_upgrade_sleep_test.py diff --git a/tests/e2e/mnist_sleep.py b/tests/e2e/mnist_sleep.py new file mode 100644 index 00000000..628dc74c --- /dev/null +++ b/tests/e2e/mnist_sleep.py @@ -0,0 +1,72 @@ +# Copyright 2022 IBM, Red Hat +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import time +import torch +import torch.nn as nn +from torch.utils.data import DataLoader +from torchvision import datasets, transforms + + +# Define a simple neural network +class NeuralNetwork(nn.Module): + def __init__(self): + super(NeuralNetwork, self).__init__() + self.flatten = nn.Flatten() + self.linear_relu_stack = nn.Sequential( + nn.Linear(28 * 28, 512), + nn.ReLU(), + nn.Linear(512, 512), + nn.ReLU(), + nn.Linear(512, 10), + ) + + def forward(self, x): + x = self.flatten(x) + logits = self.linear_relu_stack(x) + return logits + + +# Define the training function +def train(): + # Sleeping for 24 hours for upgrade test scenario + print("Sleeping for 24 hours before starting the training for upgrade testing...") + time.sleep(24 * 60 * 60) + + # Load dataset + transform = transforms.Compose([transforms.ToTensor()]) + train_dataset = datasets.FashionMNIST( + root="./data", train=True, download=True, transform=transform + ) + train_loader = DataLoader(train_dataset, batch_size=64, shuffle=True) + + # Initialize the neural network, loss function, and optimizer + model = NeuralNetwork() + criterion = nn.CrossEntropyLoss() + optimizer = torch.optim.SGD(model.parameters(), lr=0.01) + + # Train the model + num_epochs = 3 + for epoch in range(num_epochs): + for inputs, labels in train_loader: + optimizer.zero_grad() + outputs = model(inputs) + loss = criterion(outputs, labels) + loss.backward() + optimizer.step() + print(f"Epoch [{epoch+1}/{num_epochs}], Loss: {loss.item():.4f}") + + +if __name__ == "__main__": + train() diff --git a/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py b/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py new file mode 100644 index 00000000..c415b2fc --- /dev/null +++ b/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py @@ -0,0 +1,175 @@ +import requests +from time import sleep + +from codeflare_sdk import ( + Cluster, + ClusterConfiguration, + TokenAuthentication, + get_cluster, +) +from codeflare_sdk.job import RayJobClient + +from tests.e2e.support import * + + +from codeflare_sdk.utils.kube_api_helpers import _kube_api_error_handling + +namespace = "test-ns-rayupgrade-sleep" +# Global variables for kueue resources +cluster_queue = "cluster-queue-mnist" +flavor = "default-flavor-mnist" +local_queue = "local-queue-mnist" + + +# Creates a Ray cluster , submit RayJob mnist script long running +class TestSetupSleepRayJob: + def setup_method(self): + initialize_kubernetes_client(self) + create_namespace_with_name(self, namespace) + try: + create_cluster_queue(self, cluster_queue, flavor) + create_resource_flavor(self, flavor) + create_local_queue(self, cluster_queue, local_queue) + except Exception as e: + delete_namespace(self) + delete_kueue_resources(self) + return _kube_api_error_handling(e) + + def test_mnist_ray_cluster_sdk_auth(self): + self.run_mnist_raycluster_sdk_oauth() + + def run_mnist_raycluster_sdk_oauth(self): + ray_image = get_ray_image() + + auth = TokenAuthentication( + token=run_oc_command(["whoami", "--show-token=true"]), + server=run_oc_command(["whoami", "--show-server=true"]), + skip_tls=True, + ) + auth.login() + + cluster = Cluster( + ClusterConfiguration( + name="mnist", + namespace=self.namespace, + num_workers=1, + head_cpus=1, + head_memory=4, + worker_cpu_requests=1, + worker_cpu_limits=1, + worker_memory_requests=4, + worker_memory_limits=4, + image=ray_image, + write_to_file=True, + verify_tls=False, + ) + ) + + try: + cluster.up() + cluster.status() + # wait for raycluster to be Ready + cluster.wait_ready() + cluster.status() + # Check cluster details + cluster.details() + # Assert the cluster status is READY + _, ready = cluster.status() + assert ready + submission_id = self.assert_jobsubmit() + print(f"Job submitted successfully, job submission id: ", submission_id) + + except Exception as e: + print(f"An unexpected error occurred. Error: ", e) + delete_namespace(self) + delete_kueue_resources(self) + assert False, "Cluster is not ready!" + + def assert_jobsubmit(self): + auth_token = run_oc_command(["whoami", "--show-token=true"]) + cluster = get_cluster("mnist", namespace) + cluster.details() + ray_dashboard = cluster.cluster_dashboard_uri() + header = {"Authorization": f"Bearer {auth_token}"} + client = RayJobClient(address=ray_dashboard, headers=header, verify=False) + + # Submit the job + submission_id = client.submit_job( + entrypoint="python mnist_sleep.py", + runtime_env={ + "working_dir": "./tests/e2e/", + "pip": {"packages": ["torchvision==0.12.0"], "pip_check": False}, + "env_vars": get_setup_env_variables(), + }, + ) + print(f"Submitted job with ID: {submission_id}") + done = False + time = 0 + timeout = 180 + while not done: + status = client.get_job_status(submission_id) + if status.is_terminal(): + break + if status == "RUNNING": + print(f"Job is Running: '{status}'") + assert True + break + if not done: + print(status) + if timeout and time >= timeout: + raise TimeoutError(f"job has timed out after waiting {timeout}s") + sleep(5) + time += 5 + + logs = client.get_job_logs(submission_id) + print(logs) + return submission_id + + +class TestVerifySleepRayJobRunning: + def setup_method(self): + initialize_kubernetes_client(self) + auth = TokenAuthentication( + token=run_oc_command(["whoami", "--show-token=true"]), + server=run_oc_command(["whoami", "--show-server=true"]), + skip_tls=True, + ) + auth.login() + self.namespace = namespace + self.cluster = get_cluster("mnist", self.namespace) + self.cluster_queue = cluster_queue + self.resource_flavor = flavor + if not self.cluster: + raise RuntimeError("TestSetupSleepRayJob needs to be run before this test") + + def teardown_method(self): + delete_namespace(self) + delete_kueue_resources(self) + + def test_mnist_job_running(self): + client = self.get_ray_job_client(self.cluster) + self.assertJobExists(client, 1) + self.assertJobRunning(client) + self.cluster.down() + + def get_ray_job_client(self, cluster): + auth_token = run_oc_command(["whoami", "--show-token=true"]) + ray_dashboard = cluster.cluster_dashboard_uri() + header = {"Authorization": f"Bearer {auth_token}"} + return RayJobClient(address=ray_dashboard, headers=header, verify=False) + + # Assertions + def assertJobExists(self, client, expectedJobsSize): + job_list = client.list_jobs() + assert len(job_list) == expectedJobsSize + + def assertJobRunning(self, client): + job_list = client.list_jobs() + submission_id = job_list[0].submission_id + status = client.get_job_status(submission_id) + if status == "RUNNING": + print(f"Job is Running: '{status}'") + assert True + else: + print(f"Job is not in Running state: '{status}'") + assert False From 8566c33beb98b332f60cdba7fba618ec2eab7f16 Mon Sep 17 00:00:00 2001 From: Karel Suta Date: Thu, 15 Aug 2024 15:00:00 +0200 Subject: [PATCH 070/254] Upgrade tests: Make sure head node has enough memory to execute test --- tests/upgrade/raycluster_sdk_upgrade_test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index 87f61f15..640b1b5d 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -49,7 +49,7 @@ def run_mnist_raycluster_sdk_oauth(self): namespace=self.namespace, num_workers=1, head_cpus=1, - head_memory=2, + head_memory=4, worker_cpu_requests=1, worker_cpu_limits=1, worker_memory_requests=4, From 404e57bf8d56315f2e25a022caf2aa0a2c3c2a42 Mon Sep 17 00:00:00 2001 From: ChristianZaccaria Date: Thu, 15 Aug 2024 17:13:45 +0100 Subject: [PATCH 071/254] Explicitly define setuptools dependency to fix odh-notebooks-sync workflow --- poetry.lock | 10 +++++----- pyproject.toml | 4 ++++ 2 files changed, 9 insertions(+), 5 deletions(-) diff --git a/poetry.lock b/poetry.lock index bd9102d3..c75f3868 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. [[package]] name = "aiohttp" @@ -2416,13 +2416,13 @@ pyasn1 = ">=0.1.3" [[package]] name = "setuptools" -version = "70.1.1" +version = "70.1.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.8" files = [ - {file = "setuptools-70.1.1-py3-none-any.whl", hash = "sha256:a58a8fde0541dab0419750bcc521fbdf8585f6e5cb41909df3a472ef7b81ca95"}, - {file = "setuptools-70.1.1.tar.gz", hash = "sha256:937a48c7cdb7a21eb53cd7f9b59e525503aa8abaf3584c730dc5f7a5bec3a650"}, + {file = "setuptools-70.1.0-py3-none-any.whl", hash = "sha256:d9b8b771455a97c8a9f3ab3448ebe0b29b5e105f1228bba41028be116985a267"}, + {file = "setuptools-70.1.0.tar.gz", hash = "sha256:01a1e793faa5bd89abc851fa15d0a0db26f160890c7102cd8dce643e886b47f5"}, ] [package.extras] @@ -2807,4 +2807,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "7bb89ee82f06208a09aecaa8f4f31aa2e06194e79eae305546d255d13e895368" +content-hash = "1cccf4aa9ff3d9bc53049aa49aa2182ee4f41e773d8a5ccba5028724a2879966" diff --git a/pyproject.toml b/pyproject.toml index 44f68d46..62643fb6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,6 +29,10 @@ cryptography = "40.0.2" executing = "1.2.0" pydantic = "< 2" ipywidgets = "8.1.2" +# If updating setuptools version, please verify the odh-notebooks-sync workflow continues to work. +# https://github.com/project-codeflare/codeflare-sdk/actions/workflows/odh-notebooks-sync.yml +# Reference: https://github.com/target/strelka/pull/469 +setuptools = "70.1.0" [tool.poetry.group.docs] optional = true From 6f58a8bb44671e9380886f232702fd1a967bd139 Mon Sep 17 00:00:00 2001 From: ChristianZaccaria Date: Fri, 16 Aug 2024 10:16:48 +0100 Subject: [PATCH 072/254] Allow setuptools to use previous versions for compatibility --- poetry.lock | 2 +- pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/poetry.lock b/poetry.lock index c75f3868..1df39ebe 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2807,4 +2807,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "1cccf4aa9ff3d9bc53049aa49aa2182ee4f41e773d8a5ccba5028724a2879966" +content-hash = "f55c3a6780ecfed4a2fff84dec14688bab18c2815db93510c027774d26b44f80" diff --git a/pyproject.toml b/pyproject.toml index 62643fb6..f35c360d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,7 +32,7 @@ ipywidgets = "8.1.2" # If updating setuptools version, please verify the odh-notebooks-sync workflow continues to work. # https://github.com/project-codeflare/codeflare-sdk/actions/workflows/odh-notebooks-sync.yml # Reference: https://github.com/target/strelka/pull/469 -setuptools = "70.1.0" +setuptools = "<= 70.1.0" [tool.poetry.group.docs] optional = true From de2bd739a9d01b9ec1f8861cfde11c5cd7d1270d Mon Sep 17 00:00:00 2001 From: Abhijeet Dhumal <84722973+abhijeet-dhumal@users.noreply.github.com> Date: Mon, 19 Aug 2024 13:17:43 +0530 Subject: [PATCH 073/254] Update s3 bucket endpoint url to remove https prefix (#643) * Update s3 bucket endpoint url to remove https prefix * Update e2e-readme wrt secure parameter used for minio client --- docs/e2e.md | 1 + tests/e2e/mnist.py | 9 +++++++++ 2 files changed, 10 insertions(+) diff --git a/docs/e2e.md b/docs/e2e.md index f3d0c940..83d8ae4e 100644 --- a/docs/e2e.md +++ b/docs/e2e.md @@ -130,3 +130,4 @@ Currently the SDK doesn't support tolerations, so e2e tests can't be executed on AWS_STORAGE_BUCKET= AWS_STORAGE_BUCKET_MNIST_DIR= ``` + Note : When using the Python Minio client to connect to a minio storage bucket, the `AWS_DEFAULT_ENDPOINT` environment variable by default expects secure endpoint where user can use endpoint url with https/http prefix for autodetection of secure/insecure endpoint. diff --git a/tests/e2e/mnist.py b/tests/e2e/mnist.py index 4c382f67..143a6b6c 100644 --- a/tests/e2e/mnist.py +++ b/tests/e2e/mnist.py @@ -154,11 +154,20 @@ def prepare_data(self): secret_key = os.environ.get("AWS_SECRET_ACCESS_KEY") bucket_name = os.environ.get("AWS_STORAGE_BUCKET") + # remove prefix if specified in storage bucket endpoint url + secure = True + if endpoint.startswith("https://"): + endpoint = endpoint[len("https://") :] + elif endpoint.startswith("http://"): + endpoint = endpoint[len("http://") :] + secure = False + client = Minio( endpoint, access_key=access_key, secret_key=secret_key, cert_check=False, + secure=secure, ) if not os.path.exists(dataset_dir): From a146547840a8e130efba1c367942f271dfe629c1 Mon Sep 17 00:00:00 2001 From: Shilpa Chugh Date: Wed, 21 Aug 2024 14:31:54 +0530 Subject: [PATCH 074/254] Increase memory for ray head pod --- tests/e2e/mnist_raycluster_sdk_oauth_test.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/e2e/mnist_raycluster_sdk_oauth_test.py b/tests/e2e/mnist_raycluster_sdk_oauth_test.py index bc052bea..3fe6177c 100644 --- a/tests/e2e/mnist_raycluster_sdk_oauth_test.py +++ b/tests/e2e/mnist_raycluster_sdk_oauth_test.py @@ -43,7 +43,7 @@ def run_mnist_raycluster_sdk_oauth(self): namespace=self.namespace, num_workers=1, head_cpus="500m", - head_memory=2, + head_memory=4, worker_cpu_requests=1, worker_cpu_limits=1, worker_memory_requests=1, From ee307a9e3ea5911c8b4ccc5f201711c9add3a4b5 Mon Sep 17 00:00:00 2001 From: abhijeet-dhumal Date: Tue, 20 Aug 2024 14:45:00 +0530 Subject: [PATCH 075/254] Add provision in odh-sync workflow to adjust Pipfile.cpu and Pipfile.gpu with codeflare-sdk release version --- .github/workflows/odh-notebooks-sync.yml | 65 +++++++++++++++++------- 1 file changed, 47 insertions(+), 18 deletions(-) diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml index 9ce1858f..00a9c2de 100644 --- a/.github/workflows/odh-notebooks-sync.yml +++ b/.github/workflows/odh-notebooks-sync.yml @@ -29,7 +29,7 @@ env: jobs: build: - runs-on: ubuntu-20.04-4core + runs-on: ubuntu-22.04-8core steps: - name: Clone repository and Sync run: | @@ -53,6 +53,23 @@ jobs: - name: Update Pipfiles in accordance with Codeflare-SDK latest release run: | package_name=codeflare-sdk + available_python_versions=("3.9") # add space separated python versions according to 'python-versions' specified in 'Setup Python Environment' step + install_package_using_pipenv(){ + if ! pipenv install ${package_name}~="${CODEFLARE_RELEASE_VERSION}"; then + echo "Failed to install ${package_name} with version ${CODEFLARE_RELEASE_VERSION} in $dir" + exit 1 + fi + # Lock dependencies, ensuring pre-release are included and clear previous state + if ! pipenv lock --pre --clear ; then + echo "Failed to lock dependencies" + exit 1 + fi + # remove virtual env and clear cache + if ! pipenv --rm --clear ; then + echo "Failed to remove virtual environment" + exit 1 + fi + } # Get the list of available versions for the package if ! versions=$(pipenv run pip-versions list $package_name);then echo "Failed to retrieve versions for $package_name" @@ -74,7 +91,7 @@ jobs: #Check if current_dir is not in exclude_directories list if [[ ! "${exclude_directories[@]}" =~ "$current_dir" ]]; then #Check if Pipfile exists in current_dir - if [ -f "$current_dir/Pipfile" ];then + if ls "$current_dir"/Pipfile* 1> /dev/null 2>&1;then directories+=("$current_dir") fi fi @@ -95,24 +112,36 @@ jobs: cd "$dir" minimum_supported_python_version_major=$(echo "${MINIMUM_SUPPORTED_PYTHON_VERSION}" | awk -F '.' '{print $1}') #integer of MINIMUM_SUPPORTED_PYTHON_VERSION env variable minimum_supported_python_version_minor=$(echo "${MINIMUM_SUPPORTED_PYTHON_VERSION}" | awk -F '.' '{print $2}') #decimal of MINIMUM_SUPPORTED_PYTHON_VERSION env variable - pipfile_python_version=$(grep -E '^python_version' ./Pipfile | cut -d '"' -f 2) # extracted from pipfile + if ! [ -f "Pipfile" ]; then + if [ -f "Pipfile.cpu" ]; then + pipfile_python_version=$(grep -E '^python_version' ./Pipfile.cpu | cut -d '"' -f 2) # extracted from pipfile.cpu + fi + else + pipfile_python_version=$(grep -E '^python_version' ./Pipfile | cut -d '"' -f 2) # extracted from pipfile + fi pipfile_python_version_major=$(echo "$pipfile_python_version" | awk -F '.' '{print $1}') pipfile_python_version_minor=$(echo "$pipfile_python_version" | awk -F '.' '{print $2}') - if [[ "pipfile_python_version_major" -ge "$minimum_supported_python_version_major" && "pipfile_python_version_minor" -ge "$minimum_supported_python_version_minor" ]]; then - #install specified package - if ! pipenv install ${package_name}~="${CODEFLARE_RELEASE_VERSION}"; then - echo "Failed to install ${package_name} with version ${CODEFLARE_RELEASE_VERSION} in $dir" - exit 1 - fi - # Lock dependencies, ensuring pre-release are included and clear previous state - if ! pipenv lock --pre --clear ; then - echo "Failed to lock dependencies" - exit 1 - fi - # remove virtual env and clear cache - if ! pipenv --rm --clear ; then - echo "Failed to remove virtual environment" - exit 1 + if [[ " ${available_python_versions[@]} " =~ " ${pipfile_python_version} " && "$pipfile_python_version_major" -ge "$minimum_supported_python_version_major" && "$pipfile_python_version_minor" -ge "$minimum_supported_python_version_minor" ]]; then + if ! [ -f "Pipfile" ]; then + if [ -f "Pipfile.cpu" ]; then + mv Pipfile.cpu Pipfile + mv Pipfile.lock.cpu Pipfile.lock + #install specified package + install_package_using_pipenv + mv Pipfile.lock Pipfile.lock.cpu + mv Pipfile Pipfile.cpu + fi + if [ -f "Pipfile.gpu" ]; then + mv Pipfile.gpu Pipfile + mv Pipfile.lock.gpu Pipfile.lock + #install specified package + install_package_using_pipenv + mv Pipfile.lock Pipfile.lock.gpu + mv Pipfile Pipfile.gpu + fi + else + #install specified package + install_package_using_pipenv fi else echo "Skipped installation of ${package_name} with version ${CODEFLARE_RELEASE_VERSION} in $dir" From 95b2165bc23659b0c7fd5ed6fc02dfc0a9acfb50 Mon Sep 17 00:00:00 2001 From: Ignas Baranauskas Date: Tue, 20 Aug 2024 11:11:05 +0100 Subject: [PATCH 076/254] Update notebooks and docs with updated Cluster Configuration args --- .../additional-demos/hf_interactive.ipynb | 12 ++++++------ .../additional-demos/local_interactive.ipynb | 12 ++++++------ .../additional-demos/ray_job_client.ipynb | 12 ++++++------ demo-notebooks/guided-demos/0_basic_ray.ipynb | 12 ++++++------ .../guided-demos/1_cluster_job_client.ipynb | 12 ++++++------ .../guided-demos/2_basic_interactive.ipynb | 12 ++++++------ .../notebook-ex-outputs/0_basic_ray.ipynb | 12 ++++++------ .../1_cluster_job_client.ipynb | 12 ++++++------ .../notebook-ex-outputs/2_basic_interactive.ipynb | 12 ++++++------ .../guided-demos/preview_nbs/0_basic_ray.ipynb | 12 ++++++------ .../preview_nbs/1_cluster_job_client.ipynb | 12 ++++++------ .../preview_nbs/2_basic_interactive.ipynb | 12 ++++++------ docs/cluster-configuration.md | 15 +++++++-------- 13 files changed, 79 insertions(+), 80 deletions(-) diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb index a8ab8946..3fc228f0 100644 --- a/demo-notebooks/additional-demos/hf_interactive.ipynb +++ b/demo-notebooks/additional-demos/hf_interactive.ipynb @@ -91,13 +91,13 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster_name= \"hfgputest\"\n", "cluster = Cluster(ClusterConfiguration(name=cluster_name, \n", - " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=1,\n", + " head_extended_resource_requests={'nvidia.com/gpu':1}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':1},\n", " num_workers=1,\n", - " min_cpus=8, \n", - " max_cpus=8, \n", - " min_memory=16, \n", - " max_memory=16, \n", + " worker_cpu_requests=8, \n", + " worker_cpu_limits=8, \n", + " worker_memory_requests=16, \n", + " worker_memory_limits=16, \n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb index d7e4ac8c..1b62b988 100644 --- a/demo-notebooks/additional-demos/local_interactive.ipynb +++ b/demo-notebooks/additional-demos/local_interactive.ipynb @@ -54,13 +54,13 @@ "\n", "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", - " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=0,\n", + " head_extended_resource_requests={'nvidia.com/gpu':0}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':0},\n", " num_workers=1,\n", - " min_cpus=1,\n", - " max_cpus=1,\n", - " min_memory=4,\n", - " max_memory=4,\n", + " worker_cpu_requests=1,\n", + " worker_cpu_limits=1,\n", + " worker_memory_requests=4,\n", + " worker_memory_limits=4,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb index 28efde9a..828b3469 100644 --- a/demo-notebooks/additional-demos/ray_job_client.ipynb +++ b/demo-notebooks/additional-demos/ray_job_client.ipynb @@ -55,13 +55,13 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", - " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=0,\n", + " head_extended_resource_requests={'nvidia.com/gpu':0}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':0},\n", " num_workers=2,\n", - " min_cpus=1,\n", - " max_cpus=1,\n", - " min_memory=4,\n", - " max_memory=4,\n", + " worker_cpu_requests=1,\n", + " worker_cpu_limits=1,\n", + " worker_memory_requests=4,\n", + " worker_memory_limits=4,\n", " # image=\"\", # Optional Field \n", " write_to_file=False # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb index bbade0cc..55fd81d9 100644 --- a/demo-notebooks/guided-demos/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb @@ -64,13 +64,13 @@ " name='raytest', \n", " head_cpus='500m',\n", " head_memory=2,\n", - " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=0,\n", + " head_extended_resource_requests={'nvidia.com/gpu':0}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':0},\n", " num_workers=2,\n", - " min_cpus='250m',\n", - " max_cpus=1,\n", - " min_memory=4,\n", - " max_memory=4,\n", + " worker_cpu_requests='250m',\n", + " worker_cpu_limits=1,\n", + " worker_memory_requests=4,\n", + " worker_memory_limits=4,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index 61e360ef..eb37f70b 100644 --- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -57,13 +57,13 @@ " name='jobtest',\n", " head_cpus=1,\n", " head_memory=4,\n", - " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=1,\n", + " head_extended_resource_requests={'nvidia.com/gpu':1}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':1},\n", " num_workers=2,\n", - " min_cpus='250m',\n", - " max_cpus=1,\n", - " min_memory=4,\n", - " max_memory=4,\n", + " worker_cpu_requests='250m',\n", + " worker_cpu_limits=1,\n", + " worker_memory_requests=4,\n", + " worker_memory_limits=4,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb index e344ff35..249f4150 100644 --- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -62,13 +62,13 @@ " name=cluster_name,\n", " head_cpus=1,\n", " head_memory=6,\n", - " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=1,\n", + " head_extended_resource_requests={'nvidia.com/gpu':1}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':1},\n", " num_workers=2,\n", - " min_cpus='250m',\n", - " max_cpus=1,\n", - " min_memory=4,\n", - " max_memory=6,\n", + " worker_cpu_requests='250m',\n", + " worker_cpu_limits=1,\n", + " worker_memory_requests=4,\n", + " worker_memory_limits=6,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb index 31ffb730..dc207376 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb @@ -70,13 +70,13 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='raytest',\n", - " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=0,\n", + " head_extended_resource_requests={'nvidia.com/gpu':0}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':0},\n", " num_workers=2,\n", - " min_cpus=1,\n", - " max_cpus=1,\n", - " min_memory=4,\n", - " max_memory=4,\n", + " worker_cpu_requests=1,\n", + " worker_cpu_limits=1,\n", + " worker_memory_requests=4,\n", + " worker_memory_limits=4,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb index c117c239..903be9f0 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb @@ -55,13 +55,13 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", - " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=1,\n", + " head_extended_resource_requests={'nvidia.com/gpu':1}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':1},\n", " num_workers=2,\n", - " min_cpus=1,\n", - " max_cpus=1,\n", - " min_memory=4,\n", - " max_memory=4,\n", + " worker_cpu_requests=1,\n", + " worker_cpu_limits=1,\n", + " worker_memory_requests=4,\n", + " worker_memory_limits=4,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb index 56640a5b..eb6c8977 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb @@ -68,13 +68,13 @@ "cluster_name = \"interactivetest\"\n", "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", - " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=1,\n", + " head_extended_resource_requests={'nvidia.com/gpu':1}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':1},\n", " num_workers=2,\n", - " min_cpus=2,\n", - " max_cpus=2,\n", - " min_memory=8,\n", - " max_memory=8,\n", + " worker_cpu_requests=2,\n", + " worker_cpu_limits=2,\n", + " worker_memory_requests=8,\n", + " worker_memory_limits=8,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb index edf4fd5f..03270e8b 100644 --- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb @@ -62,13 +62,13 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='raytest',\n", - " head_gpus=0, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=0,\n", + " head_extended_resource_requests={'nvidia.com/gpu':0}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':0},\n", " num_workers=2,\n", - " min_cpus=1,\n", - " max_cpus=1,\n", - " min_memory=4,\n", - " max_memory=4,\n", + " worker_cpu_requests=1,\n", + " worker_cpu_limits=1,\n", + " worker_memory_requests=4,\n", + " worker_memory_limits=4,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb index 692c4d37..bcf6e86c 100644 --- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb @@ -55,13 +55,13 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", - " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=1,\n", + " head_extended_resource_requests={'nvidia.com/gpu':1}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':1},\n", " num_workers=2,\n", - " min_cpus=1,\n", - " max_cpus=1,\n", - " min_memory=4,\n", - " max_memory=4,\n", + " worker_cpu_requests=1,\n", + " worker_cpu_limits=1,\n", + " worker_memory_requests=4,\n", + " worker_memory_limits=4,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources\n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb index 91605499..1f48d329 100644 --- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb @@ -60,13 +60,13 @@ "cluster_name = \"interactivetest\"\n", "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", - " head_gpus=1, # For GPU enabled workloads set the head_gpus and num_gpus\n", - " num_gpus=1,\n", + " head_extended_resource_requests={'nvidia.com/gpu':1}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':1},\n", " num_workers=2,\n", - " min_cpus=2,\n", - " max_cpus=2,\n", - " min_memory=8,\n", - " max_memory=8,\n", + " worker_cpu_requests=2,\n", + " worker_cpu_limits=2,\n", + " worker_memory_requests=8,\n", + " worker_memory_limits=8,\n", " # image=\"\", # Optional Field \n", " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", diff --git a/docs/cluster-configuration.md b/docs/cluster-configuration.md index 40132894..8ca4a2c2 100644 --- a/docs/cluster-configuration.md +++ b/docs/cluster-configuration.md @@ -11,14 +11,13 @@ cluster = Cluster(ClusterConfiguration( namespace='default', # Default None head_cpus=1, # Default 2 head_memory=1, # Default 8 - head_gpus=0, # Default 0 - num_gpus=0, # Default 0 + head_extended_resource_requests={'nvidia.com/gpu':0}, # Default 0 + worker_extended_resource_requests={'nvidia.com/gpu':0}, # Default 0 num_workers=1, # Default 1 - min_cpus=1, # Default 1 - max_cpus=1, # Default 1 - min_memory=2, # Default 2 - max_memory=2, # Default 2 - num_gpus=0, # Default 0 + worker_cpu_requests=1, # Default 1 + worker_cpu_limits=1, # Default 1 + worker_memory_requests=2, # Default 2 + worker_memory_limits=2, # Default 2 # image="", # Optional Field machine_types=["m5.xlarge", "g4dn.xlarge"], labels={"exampleLabel": "example", "secondLabel": "example"}, @@ -28,4 +27,4 @@ Note: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used The `labels={"exampleLabel": "example"}` parameter can be used to apply additional labels to the RayCluster resource. -After creating their`cluster`, a user can call `cluster.up()` and `cluster.down()` to respectively create or remove the Ray Cluster. +After creating their `cluster`, a user can call `cluster.up()` and `cluster.down()` to respectively create or remove the Ray Cluster. From 261da3f422e518c96634bc818f1987373a76c4c0 Mon Sep 17 00:00:00 2001 From: Jiri Petrlik Date: Mon, 26 Aug 2024 14:58:55 +0200 Subject: [PATCH 077/254] RHOAIENG-10371 - Clean up content of cells in SDK demo notebooks --- .../additional-demos/hf_interactive.ipynb | 1104 +-------------- .../additional-demos/local_interactive.ipynb | 147 +- .../additional-demos/ray_job_client.ipynb | 18 +- .../guided-demos/1_cluster_job_client.ipynb | 20 +- .../notebook-ex-outputs/0_basic_ray.ipynb | 187 +-- .../1_cluster_job_client.ipynb | 20 +- .../2_basic_interactive.ipynb | 1223 +---------------- .../preview_nbs/1_cluster_job_client.ipynb | 20 +- 8 files changed, 94 insertions(+), 2645 deletions(-) diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb index 3fc228f0..7e2a7180 100644 --- a/demo-notebooks/additional-demos/hf_interactive.ipynb +++ b/demo-notebooks/additional-demos/hf_interactive.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "c737a768-6e31-4767-a301-60ae932b4ed9", "metadata": {}, "outputs": [], @@ -74,18 +74,10 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "220b9d85-3a3c-4c0c-aaf2-0d866823dcd8", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Written to: hfgputest.yaml\n" - ] - } - ], + "outputs": [], "source": [ "# Create our cluster and submit\n", "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", @@ -132,52 +124,10 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "id": "4d0db5f5-22f1-4806-ae7e-a0ee865625c1", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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-       "│ | Name      | Status  | │\n",
-       "│ +===========+=========+ │\n",
-       "│ | hfgputest | pending | │\n",
-       "│ |           |         | │\n",
-       "│ +-----------+---------+ │\n",
-       "╰─────────────────────────╯\n",
-       "
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                        🚀 List of CodeFlare clusters 🚀                  \n",
-       "                                                                    \n",
-       " ╭────────────────────────────────────────────────────────────────╮ \n",
-       " │   Owner                                                        │ \n",
-       " │   hfgputest                                        Active ✅   │ \n",
-       " │                                                                │ \n",
-       " │   URI: ray://hfgputest-head-svc.default.svc:10001              │ \n",
-       " │                                                                │ \n",
-       " │   Dashboard🔗                                                  │ \n",
-       " │                                                                │ \n",
-       " │                      Cluster Resources                         │ \n",
-       " │   ╭─ Workers ──╮  ╭───────── Worker specs(each) ─────────╮     │ \n",
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      \n", - "

      Ray

      \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - "
      Python version:3.8.13
      Ray version: 2.1.0
      Dashboard:http://10.254.20.41:8265
      \n", - "
      \n", - "\n" - ], - "text/plain": [ - "ClientContext(dashboard_url='10.254.20.41:8265', python_version='3.8.13', ray_version='2.1.0', ray_commit='23f34d948dae8de9b168667ab27e6cf940b3ae85', protocol_version='2022-10-05', _num_clients=1, _context_to_restore=)" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "import ray\n", "\n", @@ -208,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "3436eb4a-217c-4109-a3c3-309fda7e2442", "metadata": {}, "outputs": [], @@ -232,72 +153,32 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "5cca1874-2be3-4631-ae48-9adfa45e3af3", "metadata": { - "scrolled": true, "tags": [] }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2023-06-27 19:14:28,222\tDEBUG worker.py:640 -- Retaining 00ffffffffffffffffffffffffffffffffffffff0100000002000000\n", - "2023-06-27 19:14:28,222\tDEBUG worker.py:564 -- Scheduling task heavy_calculation 0 b'\\x00\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\xff\\x01\\x00\\x00\\x00\\x02\\x00\\x00\\x00'\n" - ] - } - ], + "outputs": [], "source": [ "ref = heavy_calculation.remote(3000)" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "01172c29-e8bf-41ef-8db5-eccb07906111", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2023-06-27 19:14:29,202\tDEBUG worker.py:640 -- Retaining 16310a0f0a45af5cffffffffffffffffffffffff0100000001000000\n", - "2023-06-27 19:14:31,224\tDEBUG worker.py:439 -- Internal retry for get [ClientObjectRef(16310a0f0a45af5cffffffffffffffffffffffff0100000001000000)]\n" - ] - }, - { - "data": { - "text/plain": [ - "1789.4644387076714" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "ray.get(ref)" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "9e79b547-a457-4232-b77d-19147067b972", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2023-06-27 19:14:33,161\tDEBUG dataclient.py:287 -- Got unawaited response connection_cleanup {\n", - "}\n", - "\n", - "2023-06-27 19:14:34,460\tDEBUG dataclient.py:278 -- Shutting down data channel.\n" - ] - } - ], + "outputs": [], "source": [ "ray.cancel(ref)\n", "ray.shutdown()" @@ -305,7 +186,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "2c198f1f-68bf-43ff-a148-02b5cb000ff2", "metadata": {}, "outputs": [], diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb index 828b3469..2f43306e 100644 --- a/demo-notebooks/additional-demos/ray_job_client.ipynb +++ b/demo-notebooks/additional-demos/ray_job_client.ipynb @@ -36,15 +36,15 @@ ] }, { - "cell_type": "markdown", - "id": "18de2d65", - "metadata": {}, - "source": [ - "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", - "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." - ] - }, + "cell_type": "markdown", + "id": "18de2d65", + "metadata": {}, + "source": [ + "\n", + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index eb37f70b..56585e37 100644 --- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -35,16 +35,16 @@ ] }, { - "cell_type": "markdown", - "id": "bc27f84c", - "metadata": {}, - "source": [ - "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", - "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", - "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." - ] - }, + "cell_type": "markdown", + "id": "bc27f84c", + "metadata": {}, + "source": [ + "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", + "\n", + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb index dc207376..03270e8b 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb @@ -13,7 +13,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "b55bc3ea-4ce3-49bf-bb1f-e209de8ca47a", "metadata": {}, "outputs": [], @@ -53,18 +53,10 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "0f4bc870-091f-4e11-9642-cba145710159", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Written to: raytest.yaml\n" - ] - } - ], + "outputs": [], "source": [ "# Create and configure our cluster object\n", "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", @@ -93,7 +85,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "f0884bbc-c224-4ca0-98a0-02dfa09c2200", "metadata": {}, "outputs": [], @@ -112,125 +104,30 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "3c1b4311-2e61-44c9-8225-87c2db11363d", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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                        🚀 CodeFlare Cluster Details 🚀                  \n",
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Below, we define our cluster object (which generates a corresponding RayCluster).\n", - "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", - "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." - ] - }, + "cell_type": "markdown", + "id": "bc27f84c", + "metadata": {}, + "source": [ + "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", + "\n", + "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb index eb6c8977..08eaf0b8 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "b55bc3ea-4ce3-49bf-bb1f-e209de8ca47a", "metadata": {}, "outputs": [], @@ -50,18 +50,10 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "0f4bc870-091f-4e11-9642-cba145710159", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Written to: interactivetest.yaml\n" - ] - } - ], + "outputs": [], "source": [ "# Create and configure our cluster object\n", "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", @@ -83,19 +75,10 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "f0884bbc-c224-4ca0-98a0-02dfa09c2200", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Waiting for requested resources to be set up...\n", - "Requested cluster up and running!\n" - ] - } - ], + "outputs": [], "source": [ "# Bring up the cluster\n", "cluster.up()\n", @@ -104,68 +87,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "df71c1ed", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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-       " │                                                                      │ \n",
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" │ │ \u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", - " │ │ \u001b[35m \u001b[0m\u001b[35m2 \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m8~8 \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m2 \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m1 \u001b[0m\u001b[35m \u001b[0m │ │ \n", - " │ │ \u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[36m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m\u001b[35m \u001b[0m │ │ \n", - " │ ╰─────────────╯ ╰──────────────────────────────────────╯ │ \n", - " ╰──────────────────────────────────────────────────────────────────────╯ \n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "RayCluster(name='interactivetest', status=, workers=2, worker_mem_min=8, worker_mem_max=8, worker_cpu=2, worker_gpu=1, namespace='default', dashboard='http://ray-dashboard-interactivetest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org')" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "cluster.details()" ] @@ -182,19 +107,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "c1719bca", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "http://ray-dashboard-interactivetest-default.apps.meyceoz-07122023.psap.aws.rhperfscale.org\n", - "ray://interactivetest-head-svc.default.svc:10001\n" - ] - } - ], + "outputs": [], "source": [ "ray_dashboard_uri = cluster.cluster_dashboard_uri()\n", "ray_cluster_uri = cluster.cluster_uri()\n", @@ -225,18 +141,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "300146dc", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Ray cluster is up and running: True\n" - ] - } - ], + "outputs": [], "source": [ "#before proceeding make sure the cluster exists and the uri is not empty\n", "assert ray_cluster_uri, \"Ray cluster needs to be started and set before proceeding\"\n", @@ -266,7 +174,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "1b36e0d9", "metadata": {}, "outputs": [], @@ -362,1111 +270,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "5901d958", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Downloading builder script: 100%|██████████| 4.31k/4.31k [00:00<00:00, 20.9MB/s]\n", - "Downloading metadata: 100%|██████████| 2.17k/2.17k [00:00<00:00, 14.1MB/s]\n", - "Downloading readme: 100%|██████████| 7.59k/7.59k [00:00<00:00, 22.9MB/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Downloading and preparing dataset imdb/plain_text to /home/ray/.cache/huggingface/datasets/imdb/plain_text/1.0.0/d613c88cf8fa3bab83b4ded3713f1f74830d1100e171db75bbddb80b3345c9c0...\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Downloading data: 0%| | 0.00/84.1M [00:00 AllToAllOperator[RandomizeBlockOrder]\n", - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,957\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,958\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001b[2m\u001b[36m(HuggingFaceTrainer pid=196, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,969\tINFO streaming_executor.py:149 -- Shutting down .\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:51:58,912\tINFO config.py:86 -- Setting up process group for: env:// [rank=0, world_size=2]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m == Status ==\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Current time: 2023-08-09 14:52:01 (running for 00:00:10.18)\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Using FIFO scheduling algorithm.\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Logical resource usage: 1.0/6 CPUs, 2.0/2 GPUs\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Result logdir: /home/ray/ray_results/HuggingFaceTrainer_2023-08-09_14-51-51\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m Number of trials: 1/1 (1 RUNNING)\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-----------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | Trial name | status | loc |\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m |--------------------------------+----------+-----------------|\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m | HuggingFaceTrainer_f2621_00000 | RUNNING | 10.130.4.19:196 |\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m +--------------------------------+----------+-----------------+\n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n", - "\u001b[2m\u001b[36m(train_fn pid=425)\u001b[0m \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,262\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=235, ip=10.130.4.19)\u001b[0m 2023-08-09 14:52:01,274\tINFO streaming_executor.py:149 -- Shutting down .\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:91 -- Executing DAG InputDataBuffer[Input] -> AllToAllOperator[RandomizeBlockOrder]\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:92 -- Execution config: ExecutionOptions(resource_limits=ExecutionResources(cpu=None, gpu=None, object_store_memory=None), locality_with_output=False, preserve_order=False, actor_locality_enabled=True, verbose_progress=False)\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,252\tINFO streaming_executor.py:94 -- Tip: For detailed progress reporting, run `ray.data.DataContext.get_current().execution_options.verbose_progress = True`\n", - "\u001b[2m\u001b[36m(RayTrainWorker pid=232, ip=10.129.4.19)\u001b[0m 2023-08-09 14:52:01,263\tINFO streaming_executor.py:149 -- Shutting down .\n", - "Downloading (…)lve/main/config.json: 100%|██████████| 483/483 [00:00<00:00, 151kB/s]\n", - "Downloading (…)lve/main/config.json: 100%|██████████| 483/483 [00:00<00:00, 146kB/s]\n", - "Downloading model.safetensors: 0%| | 0.00/268M [00:00 Date: Fri, 6 Sep 2024 13:19:33 +0100 Subject: [PATCH 078/254] fix(generate_cert.py): add get_secret_name function to solve issues with autogenerated secret names Signed-off-by: Bobbins228 --- src/codeflare_sdk/utils/generate_cert.py | 25 +++++++++++++++++++++++- 1 file changed, 24 insertions(+), 1 deletion(-) diff --git a/src/codeflare_sdk/utils/generate_cert.py b/src/codeflare_sdk/utils/generate_cert.py index 04b04d3e..5de56882 100644 --- a/src/codeflare_sdk/utils/generate_cert.py +++ b/src/codeflare_sdk/utils/generate_cert.py @@ -21,6 +21,7 @@ import datetime from ..cluster.auth import config_check, api_config_handler from kubernetes import client, config +from .kube_api_helpers import _kube_api_error_handling def generate_ca_cert(days: int = 30): @@ -74,6 +75,24 @@ def generate_ca_cert(days: int = 30): return key, certificate +def get_secret_name(cluster_name, namespace, api_instance): + label_selector = f"ray.openshift.ai/cluster-name={cluster_name}" + try: + secrets = api_instance.list_namespaced_secret( + namespace, label_selector=label_selector + ) + for secret in secrets.items: + if ( + f"{cluster_name}-ca-secret-" in secret.metadata.name + ): # Oauth secret share the same label this conditional is to make things more specific + return secret.metadata.name + else: + continue + raise KeyError(f"Unable to gather secret name for {cluster_name}") + except Exception as e: # pragma: no cover + return _kube_api_error_handling(e) + + def generate_tls_cert(cluster_name, namespace, days=30): # Create a folder tls-- and store three files: ca.crt, tls.crt, and tls.key tls_dir = os.path.join(os.getcwd(), f"tls-{cluster_name}-{namespace}") @@ -85,7 +104,11 @@ def generate_tls_cert(cluster_name, namespace, days=30): # oc get secret ca-secret- -o template='{{index .data "ca.crt"}}'|base64 -d > ${TLSDIR}/ca.crt config_check() v1 = client.CoreV1Api(api_config_handler()) - secret = v1.read_namespaced_secret(f"ca-secret-{cluster_name}", namespace).data + + # Secrets have a suffix appended to the end so we must list them and gather the secret that includes cluster_name-ca-secret- + secret_name = get_secret_name(cluster_name, namespace, v1) + secret = v1.read_namespaced_secret(secret_name, namespace).data + ca_cert = secret.get("ca.crt") ca_key = secret.get("ca.key") From be64fb5e6f775d3e4cdc3e65874e8ef9b9a00194 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Fri, 6 Sep 2024 13:38:33 +0100 Subject: [PATCH 079/254] test(unit_test.py): update unit test for test_generate_tls_cert Signed-off-by: Bobbins228 --- tests/unit_test.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/tests/unit_test.py b/tests/unit_test.py index ba937d87..fd0be3df 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -2619,6 +2619,10 @@ def test_generate_tls_cert(mocker): test the function codeflare_sdk.utils.generate_ca_cert generates the correct outputs """ mocker.patch("kubernetes.config.load_kube_config", return_value="ignore") + mocker.patch( + "codeflare_sdk.utils.generate_cert.get_secret_name", + return_value="ca-secret-cluster", + ) mocker.patch( "kubernetes.client.CoreV1Api.read_namespaced_secret", side_effect=secret_ca_retreival, From d47419c1e8854046220ce485899f994cdbf9e84e Mon Sep 17 00:00:00 2001 From: Fiona Waters Date: Fri, 6 Sep 2024 09:59:55 +0100 Subject: [PATCH 080/254] Remove Notebook Image Build and Push steps from release workflow --- .github/workflows/release.yaml | 17 ----------------- 1 file changed, 17 deletions(-) diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml index 15063f23..aae3e324 100644 --- a/.github/workflows/release.yaml +++ b/.github/workflows/release.yaml @@ -86,23 +86,6 @@ jobs: - name: Publish package distributions to PyPI uses: pypa/gh-action-pypi-publish@release/v1 - - name: Notebook Image Build and Push - run: | - gh workflow run image-build-and-push.yaml --repo ${{ github.event.inputs.codeflare-repository-organization }}/codeflare-sdk --ref ${{ github.ref }} --field is-stable=${{ github.event.inputs.is-stable }} --field release-version=${{ github.event.inputs.release-version }} --field quay-organization=${{ github.event.inputs.quay-organization }} - env: - GITHUB_TOKEN: ${{ secrets.CODEFLARE_MACHINE_ACCOUNT_TOKEN }} - shell: bash - - - name: Wait for Notebook image build and push to finish - run: | - # wait for a while for Run to be started - sleep 5 - run_id=$(gh run list --workflow image-build-and-push.yaml --repo ${{ github.event.inputs.codeflare-repository-organization }}/codeflare-sdk --limit 1 --json databaseId --jq .[].databaseId) - gh run watch ${run_id} --repo ${{ github.event.inputs.codeflare-repository-organization }}/codeflare-sdk --interval 10 --exit-status - env: - GITHUB_TOKEN: ${{ secrets.CODEFLARE_MACHINE_ACCOUNT_TOKEN }} - shell: bash - - name: Sync ODH Notebooks run: | gh workflow run odh-notebooks-sync.yml \ From a22b5aef6c1fb9541b3b298e5336fb5e84a18b15 Mon Sep 17 00:00:00 2001 From: codeflare-machine-account Date: Fri, 6 Sep 2024 13:49:41 +0000 Subject: [PATCH 081/254] Changes in docs for release: v0.20.2 --- .../utils/generate_cert.html | 59 ++++++++++++++++++- 1 file changed, 57 insertions(+), 2 deletions(-) diff --git a/docs/detailed-documentation/utils/generate_cert.html b/docs/detailed-documentation/utils/generate_cert.html index b41846f9..176584c4 100644 --- a/docs/detailed-documentation/utils/generate_cert.html +++ b/docs/detailed-documentation/utils/generate_cert.html @@ -49,6 +49,7 @@

      Module codeflare_sdk.utils.generate_cert

      import datetime from ..cluster.auth import config_check, api_config_handler from kubernetes import client, config +from .kube_api_helpers import _kube_api_error_handling def generate_ca_cert(days: int = 30): @@ -102,6 +103,24 @@

      Module codeflare_sdk.utils.generate_cert

      return key, certificate +def get_secret_name(cluster_name, namespace, api_instance): + label_selector = f"ray.openshift.ai/cluster-name={cluster_name}" + try: + secrets = api_instance.list_namespaced_secret( + namespace, label_selector=label_selector + ) + for secret in secrets.items: + if ( + f"{cluster_name}-ca-secret-" in secret.metadata.name + ): # Oauth secret share the same label this conditional is to make things more specific + return secret.metadata.name + else: + continue + raise KeyError(f"Unable to gather secret name for {cluster_name}") + except Exception as e: # pragma: no cover + return _kube_api_error_handling(e) + + def generate_tls_cert(cluster_name, namespace, days=30): # Create a folder tls-<cluster>-<namespace> and store three files: ca.crt, tls.crt, and tls.key tls_dir = os.path.join(os.getcwd(), f"tls-{cluster_name}-{namespace}") @@ -113,7 +132,11 @@

      Module codeflare_sdk.utils.generate_cert

      # oc get secret ca-secret-<cluster-name> -o template='{{index .data "ca.crt"}}'|base64 -d > ${TLSDIR}/ca.crt config_check() v1 = client.CoreV1Api(api_config_handler()) - secret = v1.read_namespaced_secret(f"ca-secret-{cluster_name}", namespace).data + + # Secrets have a suffix appended to the end so we must list them and gather the secret that includes cluster_name-ca-secret- + secret_name = get_secret_name(cluster_name, namespace, v1) + secret = v1.read_namespaced_secret(secret_name, namespace).data + ca_cert = secret.get("ca.crt") ca_key = secret.get("ca.key") @@ -294,7 +317,11 @@

      Functions

      # oc get secret ca-secret-<cluster-name> -o template='{{index .data "ca.crt"}}'|base64 -d > ${TLSDIR}/ca.crt config_check() v1 = client.CoreV1Api(api_config_handler()) - secret = v1.read_namespaced_secret(f"ca-secret-{cluster_name}", namespace).data + + # Secrets have a suffix appended to the end so we must list them and gather the secret that includes cluster_name-ca-secret- + secret_name = get_secret_name(cluster_name, namespace, v1) + secret = v1.read_namespaced_secret(secret_name, namespace).data + ca_cert = secret.get("ca.crt") ca_key = secret.get("ca.key") @@ -363,6 +390,33 @@

      Functions

      f.write(tls_cert.public_bytes(serialization.Encoding.PEM).decode("utf-8"))
    • +
    +def get_secret_name(cluster_name, namespace, api_instance) +
    +
    +
    +
    + +Expand source code + +
    def get_secret_name(cluster_name, namespace, api_instance):
+    label_selector = f"ray.openshift.ai/cluster-name={cluster_name}"
+    try:
+        secrets = api_instance.list_namespaced_secret(
+            namespace, label_selector=label_selector
+        )
+        for secret in secrets.items:
+            if (
+                f"{cluster_name}-ca-secret-" in secret.metadata.name
+            ):  # Oauth secret share the same label this conditional is to make things more specific
+                return secret.metadata.name
+            else:
+                continue
+        raise KeyError(f"Unable to gather secret name for {cluster_name}")
+    except Exception as e:  # pragma: no cover
+        return _kube_api_error_handling(e)
    +
    +
    @@ -384,6 +438,7 @@

    Index

  • export_env
  • generate_ca_cert
  • generate_tls_cert
    • +
  • get_secret_name
    • From 9047a4c650396f78a49dbee96e5627b3754178b1 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Fri, 6 Sep 2024 14:03:29 +0000 Subject: [PATCH 082/254] Updated coverage.svg --- coverage.svg | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/coverage.svg b/coverage.svg index 607d3de4..c1490035 100644 --- a/coverage.svg +++ b/coverage.svg @@ -15,7 +15,7 @@ coverage coverage - 91% - 91% + 90% + 90% From 0813065d3622493da35f1ba4755e0835a8377aed Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Tue, 10 Sep 2024 10:42:34 +0100 Subject: [PATCH 083/254] build: upgrade setuptools version to 73.0.0 Signed-off-by: Bobbins228 --- poetry.lock | 4 ++-- pyproject.toml | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/poetry.lock b/poetry.lock index 1df39ebe..1adcd397 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "aiohttp" @@ -2807,4 +2807,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "f55c3a6780ecfed4a2fff84dec14688bab18c2815db93510c027774d26b44f80" +content-hash = "f02d9217a65ea7004e4c8cb726fa4117f7bf23dfd3f986810fd3a2e4659d66eb" diff --git a/pyproject.toml b/pyproject.toml index f35c360d..93e485d9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,7 +32,7 @@ ipywidgets = "8.1.2" # If updating setuptools version, please verify the odh-notebooks-sync workflow continues to work. # https://github.com/project-codeflare/codeflare-sdk/actions/workflows/odh-notebooks-sync.yml # Reference: https://github.com/target/strelka/pull/469 -setuptools = "<= 70.1.0" +setuptools = "<= 73.0.0" [tool.poetry.group.docs] optional = true From 61493d47c3c4e8fc29d10b38bcede4204120b95d Mon Sep 17 00:00:00 2001 From: Kevin Date: Wed, 4 Sep 2024 15:38:43 -0400 Subject: [PATCH 084/254] install py-3.11 for sync Signed-off-by: Kevin --- .github/workflows/odh-notebooks-sync.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml index 00a9c2de..88270487 100644 --- a/.github/workflows/odh-notebooks-sync.yml +++ b/.github/workflows/odh-notebooks-sync.yml @@ -46,6 +46,8 @@ jobs: with: python-version: | 3.9 + 3.11 + cache: 'pipenv' - name: Install pipenv and pip-versions run: pip install pipenv pip-versions @@ -53,7 +55,7 @@ jobs: - name: Update Pipfiles in accordance with Codeflare-SDK latest release run: | package_name=codeflare-sdk - available_python_versions=("3.9") # add space separated python versions according to 'python-versions' specified in 'Setup Python Environment' step + available_python_versions=("3.9", "3.11") # add space separated python versions according to 'python-versions' specified in 'Setup Python Environment' step install_package_using_pipenv(){ if ! pipenv install ${package_name}~="${CODEFLARE_RELEASE_VERSION}"; then echo "Failed to install ${package_name} with version ${CODEFLARE_RELEASE_VERSION} in $dir" From 29efd3326bf9860d117e33e6782f0303308e16fd Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 9 Sep 2024 15:12:30 -0400 Subject: [PATCH 085/254] small refactor of odh-notebooks-sync.yml Signed-off-by: Kevin --- .github/workflows/odh-notebooks-sync.yml | 50 ++++++------------------ 1 file changed, 13 insertions(+), 37 deletions(-) diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml index 88270487..80337fe0 100644 --- a/.github/workflows/odh-notebooks-sync.yml +++ b/.github/workflows/odh-notebooks-sync.yml @@ -57,6 +57,11 @@ jobs: package_name=codeflare-sdk available_python_versions=("3.9", "3.11") # add space separated python versions according to 'python-versions' specified in 'Setup Python Environment' step install_package_using_pipenv(){ + # args allow custom names for Pipfile and Pipfile.lock + if $# -eq 2; then + mv $1 Pipfile + mv $2 Pipfile.lock + fi if ! pipenv install ${package_name}~="${CODEFLARE_RELEASE_VERSION}"; then echo "Failed to install ${package_name} with version ${CODEFLARE_RELEASE_VERSION} in $dir" exit 1 @@ -71,6 +76,10 @@ jobs: echo "Failed to remove virtual environment" exit 1 fi + if $# -eq 2; then + mv Pipfile $1 + mv Pipfile.lock $2 + fi } # Get the list of available versions for the package if ! versions=$(pipenv run pip-versions list $package_name);then @@ -81,31 +90,8 @@ jobs: if echo "$versions" | grep -q "${CODEFLARE_RELEASE_VERSION}"; then echo "Version ${CODEFLARE_RELEASE_VERSION} is available for $package_name" # list all Pipfile paths having Codeflare-SDK listed - paths+=($(grep -rl "${package_name} = \"~=.*\"")) - # Extracting only directories from file paths, excluding a `.gitworkflow` directory - directories=() - exclude_directories=( - ".git/objects/pack" - ".github/workflows/", - ) - for path in "${paths[@]}"; do - current_dir=$(dirname "$path") - #Check if current_dir is not in exclude_directories list - if [[ ! "${exclude_directories[@]}" =~ "$current_dir" ]]; then - #Check if Pipfile exists in current_dir - if ls "$current_dir"/Pipfile* 1> /dev/null 2>&1;then - directories+=("$current_dir") - fi - fi - done - # Remove duplicates - directories=($(echo "${directories[@]}" | tr ' ' '\n' | sort -u | tr '\n' ' ')) - # Print the directories for verification - echo "Directories (Start updating Pipfile in these below directories in accordance with Codeflare-SDK latest release):" - for dir in "${directories[@]}"; do - echo "- $dir" - done - # iterate over the directories and update Pipfile + # Extracting only directories from file paths, excluding a `.gitworkflow` and `.git` directory + directories+=($(grep --exclude-dir=.git --exclude-dir=.github --include="Pipfile*" -rl "${package_name} = \"~=.*\"" | xargs dirname | sort | uniq)) counter=0 total=${#directories[@]} for dir in "${directories[@]}"; do @@ -126,20 +112,10 @@ jobs: if [[ " ${available_python_versions[@]} " =~ " ${pipfile_python_version} " && "$pipfile_python_version_major" -ge "$minimum_supported_python_version_major" && "$pipfile_python_version_minor" -ge "$minimum_supported_python_version_minor" ]]; then if ! [ -f "Pipfile" ]; then if [ -f "Pipfile.cpu" ]; then - mv Pipfile.cpu Pipfile - mv Pipfile.lock.cpu Pipfile.lock - #install specified package - install_package_using_pipenv - mv Pipfile.lock Pipfile.lock.cpu - mv Pipfile Pipfile.cpu + install_package_using_pipenv Pipfile.cpu Pipfile.lock.cpu fi if [ -f "Pipfile.gpu" ]; then - mv Pipfile.gpu Pipfile - mv Pipfile.lock.gpu Pipfile.lock - #install specified package - install_package_using_pipenv - mv Pipfile.lock Pipfile.lock.gpu - mv Pipfile Pipfile.gpu + install_package_using_pipenv Pipfile.gpu Pipfile.lock.gpu fi else #install specified package From 6fdeb3e6916526329b9f50126c09023c25729386 Mon Sep 17 00:00:00 2001 From: Ignas Baranauskas Date: Tue, 10 Sep 2024 09:30:06 +0100 Subject: [PATCH 086/254] Add entrypoint_memory parameter in Ray Job Submission Client --- src/codeflare_sdk/job/ray_jobs.py | 4 ++++ tests/unit_test.py | 1 + 2 files changed, 5 insertions(+) diff --git a/src/codeflare_sdk/job/ray_jobs.py b/src/codeflare_sdk/job/ray_jobs.py index ff1ebdfe..9f002295 100644 --- a/src/codeflare_sdk/job/ray_jobs.py +++ b/src/codeflare_sdk/job/ray_jobs.py @@ -16,6 +16,7 @@ The ray_jobs sub-module contains methods needed to submit jobs and connect to Ray Clusters that were not created by CodeFlare. The SDK acts as a wrapper for the Ray Job Submission Client. """ + from ray.job_submission import JobSubmissionClient from ray.dashboard.modules.job.pydantic_models import JobDetails from typing import Iterator, Optional, Dict, Any, Union, List @@ -62,6 +63,7 @@ def submit_job( submission_id: Optional[str] = None, entrypoint_num_cpus: Optional[Union[int, float]] = None, entrypoint_num_gpus: Optional[Union[int, float]] = None, + entrypoint_memory: Optional[int] = None, entrypoint_resources: Optional[Dict[str, float]] = None, ) -> str: """ @@ -75,6 +77,7 @@ def submit_job( job_id -- DEPRECATED. This has been renamed to submission_id entrypoint_num_cpus -- The quantity of CPU cores to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. entrypoint_num_gpus -- The quantity of GPUs to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. + entrypoint_memory –- The quantity of memory to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. entrypoint_resources -- The quantity of custom resources to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. """ return self.rayJobClient.submit_job( @@ -85,6 +88,7 @@ def submit_job( submission_id=submission_id, entrypoint_num_cpus=entrypoint_num_cpus, entrypoint_num_gpus=entrypoint_num_gpus, + entrypoint_memory=entrypoint_memory, entrypoint_resources=entrypoint_resources, ) diff --git a/tests/unit_test.py b/tests/unit_test.py index fd0be3df..a5f9cae9 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -2724,6 +2724,7 @@ def test_rjc_submit_job(ray_job_client, mocker): submission_id=None, entrypoint_num_cpus=None, entrypoint_num_gpus=None, + entrypoint_memory=None, entrypoint_resources=None, ) From fb59ba651b17eeb70ccc64630eb648382ad0bc42 Mon Sep 17 00:00:00 2001 From: Jiri Petrlik Date: Thu, 12 Sep 2024 12:19:20 +0200 Subject: [PATCH 087/254] Remove image-build-and-push.yaml Follow up clean up after https://github.com/project-codeflare/codeflare-sdk/pull/657 --- .github/workflows/image-build-and-push.yaml | 67 --------------------- 1 file changed, 67 deletions(-) delete mode 100644 .github/workflows/image-build-and-push.yaml diff --git a/.github/workflows/image-build-and-push.yaml b/.github/workflows/image-build-and-push.yaml deleted file mode 100644 index 451a9bdf..00000000 --- a/.github/workflows/image-build-and-push.yaml +++ /dev/null @@ -1,67 +0,0 @@ -name: Notebook Image Build and Push - -on: - workflow_dispatch: - inputs: - release-version: - type: string - required: true - description: 'Version number (for example: 0.1.0)' - is-stable: - description: 'Select if the built image should be tagged as stable' - required: true - type: boolean - quay-organization: - description: 'Quay organization used to push the built images to' - required: true - default: 'project-codeflare' - python_version: - type: string - default: "3.8" - required: true - poetry_version: - type: string - default: "1.5.1" - required: true - -jobs: - release: - runs-on: ubuntu-latest - steps: - - name: Cleanup - run: | - ls -lart - echo "Initial status:" - df -h - echo "Cleaning up resources:" - sudo swapoff -a - sudo rm -f /swapfile - sudo apt clean - sudo rm -rf /usr/share/dotnet - sudo rm -rf /opt/ghc - sudo rm -rf "/usr/local/share/boost" - sudo rm -rf "$AGENT_TOOLSDIRECTORY" - docker rmi $(docker image ls -aq) - echo "Final status:" - df -h - - name: Checkout the repository - uses: actions/checkout@v3 - - name: Install Python - uses: actions/setup-python@v4 - with: - python-version: ${{ github.event.inputs.python_version }} - - name: Image Build - run: | - cd custom-nb-image - podman build --build-arg SDK_VERSION="${{ github.event.inputs.release-version }}" -t quay.io/${{ github.event.inputs.quay-organization }}/notebook:v${{ github.event.inputs.release-version }} . - - name: Login to Quay.io - uses: redhat-actions/podman-login@v1 - with: - registry: quay.io - username: ${{ secrets.QUAY_ID }} - password: ${{ secrets.QUAY_TOKEN }} - - name: Image Push - run: podman push quay.io/${{ github.event.inputs.quay-organization }}/notebook:v${{ github.event.inputs.release-version }} - - name: Image Push Stable - if: ${{ inputs.is-stable }} - run: podman push quay.io/${{ github.event.inputs.quay-organization }}/notebook:v${{ github.event.inputs.release-version }} quay.io/${{ github.event.inputs.quay-organization }}/notebook:stable From bc38ed53949a08302fd84c542ef1540384d7f646 Mon Sep 17 00:00:00 2001 From: Fiona Waters Date: Tue, 10 Sep 2024 10:42:58 +0100 Subject: [PATCH 088/254] Upgrade Ray to version 2.35 --- .../additional-demos/hf_interactive.ipynb | 2 +- .../additional-demos/local_interactive.ipynb | 2 +- .../additional-demos/ray_job_client.ipynb | 2 +- demo-notebooks/guided-demos/0_basic_ray.ipynb | 2 +- .../guided-demos/1_cluster_job_client.ipynb | 2 +- .../guided-demos/2_basic_interactive.ipynb | 2 +- .../notebook-ex-outputs/0_basic_ray.ipynb | 2 +- .../1_cluster_job_client.ipynb | 2 +- .../2_basic_interactive.ipynb | 2 +- .../notebook-ex-outputs/interactivetest.yaml | 4 +- .../notebook-ex-outputs/jobtest.yaml | 4 +- .../notebook-ex-outputs/raytest.yaml | 4 +- .../preview_nbs/0_basic_ray.ipynb | 2 +- .../preview_nbs/1_cluster_job_client.ipynb | 2 +- .../preview_nbs/2_basic_interactive.ipynb | 2 +- docs/cluster-configuration.md | 2 +- poetry.lock | 41 ++++++++++++------- pyproject.toml | 2 +- .../templates/base-template.yaml | 6 +-- tests/e2e/support.py | 2 +- tests/test-case-bad.yaml | 6 +-- tests/test-case-custom-image.yaml | 2 +- tests/test-case-no-kueue-no-aw.yaml | 6 +-- tests/test-case-no-mcad.yamls | 6 +-- tests/test-case.yaml | 6 +-- tests/test-default-appwrapper.yaml | 6 +-- tests/unit_test.py | 6 +-- tests/unit_test_support.py | 2 +- 28 files changed, 71 insertions(+), 58 deletions(-) diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb index 7e2a7180..39835929 100644 --- a/demo-notebooks/additional-demos/hf_interactive.ipynb +++ b/demo-notebooks/additional-demos/hf_interactive.ipynb @@ -68,7 +68,7 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding Ray Cluster).\n", "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb index 6c3aa2ac..a491b97e 100644 --- a/demo-notebooks/additional-demos/local_interactive.ipynb +++ b/demo-notebooks/additional-demos/local_interactive.ipynb @@ -35,7 +35,7 @@ "metadata": {}, "source": [ "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb index 2f43306e..a16ae6e6 100644 --- a/demo-notebooks/additional-demos/ray_job_client.ipynb +++ b/demo-notebooks/additional-demos/ray_job_client.ipynb @@ -41,7 +41,7 @@ "metadata": {}, "source": [ "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb index 55fd81d9..2a9ae48e 100644 --- a/demo-notebooks/guided-demos/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb @@ -47,7 +47,7 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index 56585e37..0857042a 100644 --- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -41,7 +41,7 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb index 249f4150..98fcafa2 100644 --- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -44,7 +44,7 @@ "source": [ "Once again, let's start by running through the same cluster setup as before:\n", "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb index 03270e8b..3d581e6f 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb @@ -47,7 +47,7 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb index 1a5e77f4..1ccad58c 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb @@ -41,7 +41,7 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb index 08eaf0b8..80207c37 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb @@ -44,7 +44,7 @@ "source": [ "Once again, let's start by running through the same cluster setup as before:\n", "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml index 3ef8ff6f..fd6500a7 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml @@ -81,7 +81,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + image: quay.io/modh/ray:2.35.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -147,7 +147,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + image: quay.io/modh/ray:2.35.0-py39-cu121 lifecycle: preStop: exec: diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml index b439295f..a33a9cf5 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml @@ -70,7 +70,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + image: quay.io/modh/ray:2.35.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -127,7 +127,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + image: quay.io/modh/ray:2.35.0-py39-cu121 lifecycle: preStop: exec: diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml index b953b750..151d2e28 100644 --- a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml +++ b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml @@ -70,7 +70,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + image: quay.io/modh/ray:2.35.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -127,7 +127,7 @@ spec: value: /home/ray/workspace/tls/server.key - name: RAY_TLS_CA_CERT value: /home/ray/workspace/tls/ca.crt - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + image: quay.io/modh/ray:2.35.0-py39-cu121 lifecycle: preStop: exec: diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb index 03270e8b..3d581e6f 100644 --- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb @@ -47,7 +47,7 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb index d0a527e3..0a2b9343 100644 --- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb @@ -41,7 +41,7 @@ "source": [ "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb index 1f48d329..a58c249e 100644 --- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb @@ -44,7 +44,7 @@ "source": [ "Once again, let's start by running through the same cluster setup as before:\n", "\n", - "NOTE: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." ] }, diff --git a/docs/cluster-configuration.md b/docs/cluster-configuration.md index 8ca4a2c2..38f516b0 100644 --- a/docs/cluster-configuration.md +++ b/docs/cluster-configuration.md @@ -23,7 +23,7 @@ cluster = Cluster(ClusterConfiguration( labels={"exampleLabel": "example", "secondLabel": "example"}, )) ``` -Note: 'quay.io/rhoai/ray:2.23.0-py39-cu121' is the default community image used by the CodeFlare SDK for creating a RayCluster resource. If you have your own Ray image which suits your purposes, specify it in image field to override the default image. +Note: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. If you have your own Ray image which suits your purposes, specify it in image field to override the default image. The `labels={"exampleLabel": "example"}` parameter can be used to apply additional labels to the RayCluster resource. diff --git a/poetry.lock b/poetry.lock index 1adcd397..21568298 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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"typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"] client = ["grpcio (!=1.56.0)"] -cpp = ["ray-cpp (==2.23.0)"] +cpp = ["ray-cpp (==2.35.0)"] data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=6.0.1)"] default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,!=20.21.1)"] observability = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"] @@ -2807,4 +2820,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "f02d9217a65ea7004e4c8cb726fa4117f7bf23dfd3f986810fd3a2e4659d66eb" +content-hash = "cbff1a5a7da645b81c7de962eadeb2a8378eb9f783ebed526a3634f1d97e2bf5" diff --git a/pyproject.toml b/pyproject.toml index 93e485d9..21729ee8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,7 +23,7 @@ keywords = ['codeflare', 'python', 'sdk', 'client', 'batch', 'scale'] python = "^3.9" openshift-client = "1.0.18" rich = "^12.5" -ray = {version = "2.23.0", extras = ["data", "default"]} +ray = {version = "2.35.0", extras = ["data", "default"]} kubernetes = ">= 25.3.0, < 27" cryptography = "40.0.2" executing = "1.2.0" diff --git a/src/codeflare_sdk/templates/base-template.yaml b/src/codeflare_sdk/templates/base-template.yaml index 076bd262..d6b2ce55 100644 --- a/src/codeflare_sdk/templates/base-template.yaml +++ b/src/codeflare_sdk/templates/base-template.yaml @@ -12,7 +12,7 @@ metadata: namespace: default spec: # The version of Ray you are using. Make sure all Ray containers are running this version of Ray. - rayVersion: '2.23.0' + rayVersion: '2.35.0' # If enableInTreeAutoscaling is true, the autoscaler sidecar will be added to the Ray head pod. # Ray autoscaler integration is supported only for Ray versions >= 1.11.0 # Ray autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0. @@ -69,7 +69,7 @@ spec: containers: # The Ray head pod - name: ray-head - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + image: quay.io/modh/ray:2.35.0-py39-cu121 imagePullPolicy: Always ports: - containerPort: 6379 @@ -150,7 +150,7 @@ spec: spec: containers: - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name', or '123-abc' - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + image: quay.io/modh/ray:2.35.0-py39-cu121 # environment variables to set in the container.Optional. # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/ lifecycle: diff --git a/tests/e2e/support.py b/tests/e2e/support.py index c8346909..4a8b6ca0 100644 --- a/tests/e2e/support.py +++ b/tests/e2e/support.py @@ -8,7 +8,7 @@ def get_ray_image(): - default_ray_image = "quay.io/rhoai/ray:2.23.0-py39-cu121" + default_ray_image = "quay.io/modh/ray:2.35.0-py39-cu121" return os.getenv("RAY_IMAGE", default_ray_image) diff --git a/tests/test-case-bad.yaml b/tests/test-case-bad.yaml index cb2f4a0a..3c9da72c 100644 --- a/tests/test-case-bad.yaml +++ b/tests/test-case-bad.yaml @@ -43,7 +43,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + image: quay.io/modh/ray:2.35.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -67,7 +67,7 @@ spec: requests: cpu: 2 memory: 8G - rayVersion: 2.23.0 + rayVersion: 2.35.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster maxReplicas: 2 @@ -90,7 +90,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + image: quay.io/modh/ray:2.35.0-py39-cu121 lifecycle: preStop: exec: diff --git a/tests/test-case-custom-image.yaml b/tests/test-case-custom-image.yaml index 8a417a58..d7e52507 100644 --- a/tests/test-case-custom-image.yaml +++ b/tests/test-case-custom-image.yaml @@ -88,7 +88,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.23.0 + rayVersion: 2.35.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster-custom-image maxReplicas: 2 diff --git a/tests/test-case-no-kueue-no-aw.yaml b/tests/test-case-no-kueue-no-aw.yaml index 3ea7a22d..87a9242e 100644 --- a/tests/test-case-no-kueue-no-aw.yaml +++ b/tests/test-case-no-kueue-no-aw.yaml @@ -31,7 +31,7 @@ spec: template: spec: containers: - - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + - image: quay.io/modh/ray:2.35.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -85,7 +85,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.23.0 + rayVersion: 2.35.0 workerGroupSpecs: - groupName: small-group-unit-test-no-kueue maxReplicas: 2 @@ -103,7 +103,7 @@ spec: key: value spec: containers: - - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + - image: quay.io/modh/ray:2.35.0-py39-cu121 lifecycle: preStop: exec: diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index 45a3dfb9..a686dd47 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -34,7 +34,7 @@ spec: template: spec: containers: - - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + - image: quay.io/modh/ray:2.35.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -88,7 +88,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.23.0 + rayVersion: 2.35.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster-ray maxReplicas: 2 @@ -106,7 +106,7 @@ spec: key: value spec: containers: - - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + - image: quay.io/modh/ray:2.35.0-py39-cu121 lifecycle: preStop: exec: diff --git a/tests/test-case.yaml b/tests/test-case.yaml index 461ed7df..9d85c5a9 100644 --- a/tests/test-case.yaml +++ b/tests/test-case.yaml @@ -39,7 +39,7 @@ spec: template: spec: containers: - - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + - image: quay.io/modh/ray:2.35.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -93,7 +93,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.23.0 + rayVersion: 2.35.0 workerGroupSpecs: - groupName: small-group-unit-test-cluster maxReplicas: 2 @@ -111,7 +111,7 @@ spec: key: value spec: containers: - - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + - image: quay.io/modh/ray:2.35.0-py39-cu121 lifecycle: preStop: exec: diff --git a/tests/test-default-appwrapper.yaml b/tests/test-default-appwrapper.yaml index cc27e37a..7abc17ed 100644 --- a/tests/test-default-appwrapper.yaml +++ b/tests/test-default-appwrapper.yaml @@ -40,7 +40,7 @@ spec: spec: imagePullSecrets: [] containers: - - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + - image: quay.io/modh/ray:2.35.0-py39-cu121 imagePullPolicy: Always lifecycle: preStop: @@ -92,7 +92,7 @@ spec: name: odh-trusted-ca-bundle optional: true name: odh-ca-cert - rayVersion: 2.23.0 + rayVersion: 2.35.0 workerGroupSpecs: - groupName: small-group-unit-test-default-cluster maxReplicas: 1 @@ -111,7 +111,7 @@ spec: spec: imagePullSecrets: [] containers: - - image: quay.io/rhoai/ray:2.23.0-py39-cu121 + - image: quay.io/modh/ray:2.35.0-py39-cu121 lifecycle: preStop: exec: diff --git a/tests/unit_test.py b/tests/unit_test.py index a5f9cae9..8a51c6eb 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -1245,7 +1245,7 @@ def get_ray_obj(group, version, namespace, plural, cls=None): }, }, }, - "rayVersion": "2.23.0", + "rayVersion": "2.35.0", "workerGroupSpecs": [ { "groupName": "small-group-quicktest", @@ -1478,7 +1478,7 @@ def get_ray_obj(group, version, namespace, plural, cls=None): } }, }, - "rayVersion": "2.23.0", + "rayVersion": "2.35.0", "workerGroupSpecs": [ { "groupName": "small-group-quicktest2", @@ -1846,7 +1846,7 @@ def get_aw_obj(group, version, namespace, plural): } }, }, - "rayVersion": "2.23.0", + "rayVersion": "2.35.0", "workerGroupSpecs": [ { "groupName": "small-group-quicktest", diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index dd8c2fce..22713d2d 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -45,7 +45,7 @@ def createClusterWrongType(): appwrapper=True, machine_types=[True, False], image_pull_secrets=["unit-test-pull-secret"], - image="quay.io/rhoai/ray:2.23.0-py39-cu121", + image="quay.io/modh/ray:2.35.0-py39-cu121", write_to_file=True, labels={1: 1}, ) From 6e895a88a4cf2af907a2ea03ebab4b28b9eb851f Mon Sep 17 00:00:00 2001 From: Fiona Waters Date: Fri, 13 Sep 2024 11:31:13 +0100 Subject: [PATCH 089/254] adding reference to rocm compatible image --- docs/cluster-configuration.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/cluster-configuration.md b/docs/cluster-configuration.md index 38f516b0..47110e4b 100644 --- a/docs/cluster-configuration.md +++ b/docs/cluster-configuration.md @@ -23,7 +23,7 @@ cluster = Cluster(ClusterConfiguration( labels={"exampleLabel": "example", "secondLabel": "example"}, )) ``` -Note: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. If you have your own Ray image which suits your purposes, specify it in image field to override the default image. +Note: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. If you have your own Ray image which suits your purposes, specify it in image field to override the default image. If you are using ROCm compatible GPUs you can use 'quay.io/modh/ray:2.35.0-py39-rocm61'. You can also find documentation on building a custom image [here](https://github.com/opendatahub-io/distributed-workloads/tree/main/images/runtime/examples). The `labels={"exampleLabel": "example"}` parameter can be used to apply additional labels to the RayCluster resource. From 63344c57691226962df5dbe1cf58496aacd425f4 Mon Sep 17 00:00:00 2001 From: oksanabaza Date: Tue, 10 Sep 2024 13:26:29 +0100 Subject: [PATCH 090/254] Adjust CodeFlare SDK tests to run on FIPS --- tests/e2e/mnist.py | 6 ++++++ tests/e2e/mnist_pip_requirements.txt | 2 +- 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/tests/e2e/mnist.py b/tests/e2e/mnist.py index 143a6b6c..ba5ec96f 100644 --- a/tests/e2e/mnist.py +++ b/tests/e2e/mnist.py @@ -15,6 +15,7 @@ import os import torch +import torchvision.datasets.utils as utils import requests from pytorch_lightning import LightningModule, Trainer from pytorch_lightning.callbacks.progress import TQDMProgressBar @@ -138,6 +139,11 @@ def configure_optimizers(self): #################### def prepare_data(self): + def check_md5(fpath, md5=None): + return True + + utils.check_md5 = check_md5 + # download print("Downloading MNIST dataset...") diff --git a/tests/e2e/mnist_pip_requirements.txt b/tests/e2e/mnist_pip_requirements.txt index 907e9a52..05ed5816 100644 --- a/tests/e2e/mnist_pip_requirements.txt +++ b/tests/e2e/mnist_pip_requirements.txt @@ -1,4 +1,4 @@ pytorch_lightning==1.9.5 torchmetrics==0.9.1 -torchvision==0.12.0 +torchvision==0.19.0 minio From e1c1b97d9832587f9bd7c748aafe8ff657199fd9 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 16 Sep 2024 17:28:52 -0400 Subject: [PATCH 091/254] remove repeated conditional branch logic Signed-off-by: Kevin --- src/codeflare_sdk/cluster/cluster.py | 52 ++++++++++------------------ 1 file changed, 18 insertions(+), 34 deletions(-) diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index f0f50eb3..20aa94c9 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -546,41 +546,25 @@ def list_all_queued( def get_current_namespace(): # pragma: no cover - if api_config_handler() != None: - if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"): - try: - file = open( - "/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r" - ) - active_context = file.readline().strip("\n") - return active_context - except Exception as e: - print("Unable to find current namespace") - return None - else: + if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"): + try: + file = open("/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r") + active_context = file.readline().strip("\n") + return active_context + except Exception as e: print("Unable to find current namespace") - return None - else: - if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"): - try: - file = open( - "/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r" - ) - active_context = file.readline().strip("\n") - return active_context - except Exception as e: - print( - "unable to gather namespace from /var/run/secrets/kubernetes.io/serviceaccount/namespace trying to gather from current context" - ) - else: - try: - _, active_context = config.list_kube_config_contexts(config_check()) - except Exception as e: - return _kube_api_error_handling(e) - try: - return active_context["context"]["namespace"] - except KeyError: - return None + + if api_config_handler() != None: + return None + print("trying to gather from current context") + try: + _, active_context = config.list_kube_config_contexts(config_check()) + except Exception as e: + return _kube_api_error_handling(e) + try: + return active_context["context"]["namespace"] + except KeyError: + return None def get_cluster( From 1c0e8386670569981194feee103e1f1983c04d7c Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Mon, 16 Sep 2024 15:00:23 +0100 Subject: [PATCH 092/254] feat: add ui cluster creation and deletion buttons Signed-off-by: Bobbins228 --- src/codeflare_sdk/cluster/cluster.py | 14 +++++ src/codeflare_sdk/cluster/widgets.py | 91 ++++++++++++++++++++++++++++ tests/unit_test.py | 1 + 3 files changed, 106 insertions(+) create mode 100644 src/codeflare_sdk/cluster/widgets.py diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index 20aa94c9..f9bcc84f 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -42,6 +42,10 @@ RayCluster, RayClusterStatus, ) +from .widgets import ( + cluster_up_down_buttons, + is_notebook, +) from kubernetes import client, config from kubernetes.utils import parse_quantity import yaml @@ -71,6 +75,8 @@ def __init__(self, config: ClusterConfiguration): self.app_wrapper_yaml = self.create_app_wrapper() self._job_submission_client = None self.app_wrapper_name = self.config.name + if is_notebook(): + cluster_up_down_buttons(self) @property def _client_headers(self): @@ -156,8 +162,12 @@ def up(self): plural="appwrappers", body=aw, ) + print(f"AppWrapper: '{self.config.name}' has successfully been created") else: self._component_resources_up(namespace, api_instance) + print( + f"Ray Cluster: '{self.config.name}' has successfully been created" + ) except Exception as e: # pragma: no cover return _kube_api_error_handling(e) @@ -198,8 +208,12 @@ def down(self): plural="appwrappers", name=self.app_wrapper_name, ) + print(f"AppWrapper: '{self.config.name}' has successfully been deleted") else: self._component_resources_down(namespace, api_instance) + print( + f"Ray Cluster: '{self.config.name}' has successfully been deleted" + ) except Exception as e: # pragma: no cover return _kube_api_error_handling(e) diff --git a/src/codeflare_sdk/cluster/widgets.py b/src/codeflare_sdk/cluster/widgets.py new file mode 100644 index 00000000..6bd02c55 --- /dev/null +++ b/src/codeflare_sdk/cluster/widgets.py @@ -0,0 +1,91 @@ +# Copyright 2022 IBM, Red Hat +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +""" +The widgets sub-module contains the ui widgets created using the ipywidgets package. +""" +import ipywidgets as widgets +from IPython.display import display +import os +import codeflare_sdk + + +def cluster_up_down_buttons(cluster: "codeflare_sdk.cluster.Cluster") -> widgets.Button: + """ + The cluster_up_down_buttons function returns two button widgets for a create and delete button. + The function uses the appwrapper bool to distinguish between resource type for the tool tip. + """ + resource = "Ray Cluster" + if cluster.config.appwrapper: + resource = "AppWrapper" + + up_button = widgets.Button( + description="Cluster Up", + tooltip=f"Create the {resource}", + icon="play", + ) + + delete_button = widgets.Button( + description="Cluster Down", + tooltip=f"Delete the {resource}", + icon="trash", + ) + + wait_ready_check = wait_ready_check_box() + output = widgets.Output() + + # Display the buttons in an HBox wrapped in a VBox which includes the wait_ready Checkbox + button_display = widgets.HBox([up_button, delete_button]) + display(widgets.VBox([button_display, wait_ready_check]), output) + + def on_up_button_clicked(b): # Handle the up button click event + with output: + output.clear_output() + cluster.up() + + # If the wait_ready Checkbox is clicked(value == True) trigger the wait_ready function + if wait_ready_check.value: + cluster.wait_ready() + + def on_down_button_clicked(b): # Handle the down button click event + with output: + output.clear_output() + cluster.down() + + up_button.on_click(on_up_button_clicked) + delete_button.on_click(on_down_button_clicked) + + +def wait_ready_check_box(): + """ + The wait_ready_check_box function will return a checkbox widget used for waiting for the resource to be in the state READY. + """ + wait_ready_check_box = widgets.Checkbox( + False, + description="Wait for Cluster?", + ) + return wait_ready_check_box + + +def is_notebook() -> bool: + """ + The is_notebook function checks if Jupyter Notebook environment variables exist in the given environment and return True/False based on that. + """ + if ( + "PYDEVD_IPYTHON_COMPATIBLE_DEBUGGING" in os.environ + or "JPY_SESSION_NAME" in os.environ + ): # If running Jupyter NBs in VsCode or RHOAI/ODH display UI buttons + return True + else: + return False diff --git a/tests/unit_test.py b/tests/unit_test.py index 8a51c6eb..2a1714b1 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -76,6 +76,7 @@ gen_names, is_openshift_cluster, ) +from codeflare_sdk.cluster.widgets import cluster_up_down_buttons import openshift from openshift.selector import Selector From 9c8edb6b61d87b63d57144644ea810a594d5e4be Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Tue, 17 Sep 2024 09:14:47 +0100 Subject: [PATCH 093/254] test: test ui up and down buttons Signed-off-by: Bobbins228 --- tests/unit_test.py | 79 +++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 78 insertions(+), 1 deletion(-) diff --git a/tests/unit_test.py b/tests/unit_test.py index 2a1714b1..111f737c 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -83,11 +83,14 @@ import ray import pytest import yaml -from unittest.mock import MagicMock +from unittest.mock import MagicMock, patch from pytest_mock import MockerFixture from ray.job_submission import JobSubmissionClient from codeflare_sdk.job.ray_jobs import RayJobClient +import ipywidgets as widgets +from IPython.display import display + # For mocking openshift client results fake_res = openshift.Result("fake") @@ -2874,6 +2877,80 @@ def test_cluster_config_deprecation_conversion(mocker): assert config.worker_cpu_limits == 2 +""" + Ipywidgets tests +""" + + +@patch.dict( + "os.environ", {"JPY_SESSION_NAME": "example-test"} +) # Mock Jupyter environment variable +def test_cluster_up_down_buttons(mocker): + mocker.patch("kubernetes.client.ApisApi.get_api_versions") + mocker.patch( + "kubernetes.client.CustomObjectsApi.get_cluster_custom_object", + return_value={"spec": {"domain": "apps.cluster.awsroute.org"}}, + ) + mocker.patch( + "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", + return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), + ) + cluster = Cluster(createClusterConfig()) + + with patch("ipywidgets.Button") as MockButton, patch( + "ipywidgets.Checkbox" + ) as MockCheckbox, patch("ipywidgets.Output"), patch("ipywidgets.HBox"), patch( + "ipywidgets.VBox" + ), patch.object( + cluster, "up" + ) as mock_up, patch.object( + cluster, "down" + ) as mock_down, patch.object( + cluster, "wait_ready" + ) as mock_wait_ready: + # Create mock button & CheckBox instances + mock_up_button = MagicMock() + mock_down_button = MagicMock() + mock_wait_ready_check_box = MagicMock() + + # Ensure the mock Button class returns the mock button instances in sequence + MockCheckbox.side_effect = [mock_wait_ready_check_box] + MockButton.side_effect = [mock_up_button, mock_down_button] + + # Call the method under test + cluster_up_down_buttons(cluster) + + # Simulate checkbox being checked or unchecked + mock_wait_ready_check_box.value = True # Simulate checkbox being checked + + # Simulate the button clicks by calling the mock on_click handlers + mock_up_button.on_click.call_args[0][0](None) # Simulate clicking "Cluster Up" + mock_down_button.on_click.call_args[0][0]( + None + ) # Simulate clicking "Cluster Down" + + # Check if the `up` and `down` methods were called + mock_wait_ready.assert_called_once() + mock_up.assert_called_once() + mock_down.assert_called_once() + + +@patch.dict("os.environ", {}, clear=True) # Mock environment with no variables +def test_is_notebook_false(): + from codeflare_sdk.cluster.widgets import is_notebook + + assert is_notebook() is False + + +@patch.dict( + "os.environ", {"JPY_SESSION_NAME": "example-test"} +) # Mock Jupyter environment variable +def test_is_notebook_true(): + from codeflare_sdk.cluster.widgets import is_notebook + + assert is_notebook() is True + + # Make sure to always keep this function last def test_cleanup(): os.remove(f"{aw_dir}unit-test-no-kueue.yaml") From 9794a0f3ca59b7ed1d692abd556dabdd5179cc3b Mon Sep 17 00:00:00 2001 From: Mark Campbell Date: Wed, 18 Sep 2024 16:37:04 +0100 Subject: [PATCH 094/254] Update src/codeflare_sdk/cluster/widgets.py Co-authored-by: Kevin Postlethwait --- src/codeflare_sdk/cluster/widgets.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/codeflare_sdk/cluster/widgets.py b/src/codeflare_sdk/cluster/widgets.py index 6bd02c55..351640e0 100644 --- a/src/codeflare_sdk/cluster/widgets.py +++ b/src/codeflare_sdk/cluster/widgets.py @@ -1,4 +1,4 @@ -# Copyright 2022 IBM, Red Hat +# Copyright 2024 IBM, Red Hat # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. From ec47475f7ef902ad42a47f0dd8bb6fa7c5c2eab5 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Mon, 9 Sep 2024 15:03:08 +0100 Subject: [PATCH 095/254] feat: split head resources for limits and requests Signed-off-by: Bobbins228 --- src/codeflare_sdk/cluster/cluster.py | 44 +++++++++++++++++------- src/codeflare_sdk/cluster/config.py | 32 +++++++++++++---- src/codeflare_sdk/cluster/model.py | 10 +++--- src/codeflare_sdk/utils/generate_yaml.py | 24 ++++++------- src/codeflare_sdk/utils/pretty_print.py | 2 +- 5 files changed, 77 insertions(+), 35 deletions(-) diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index f9bcc84f..7c652a18 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -462,6 +462,18 @@ def from_k8_cluster_object( name=rc["metadata"]["name"], namespace=rc["metadata"]["namespace"], machine_types=machine_types, + head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["requests"]["cpu"], + head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"]["cpu"], + head_memory_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["requests"]["memory"], + head_memory_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"]["memory"], num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"], worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" @@ -851,10 +863,10 @@ def _map_to_ray_cluster(rc) -> Optional[RayCluster]: status=status, # for now we are not using autoscaling so same replicas is fine workers=rc["spec"]["workerGroupSpecs"][0]["replicas"], - worker_mem_max=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_mem_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["memory"], - worker_mem_min=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_mem_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["requests"]["memory"], worker_cpu=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ @@ -862,12 +874,18 @@ def _map_to_ray_cluster(rc) -> Optional[RayCluster]: ]["resources"]["limits"]["cpu"], worker_extended_resources=worker_extended_resources, namespace=rc["metadata"]["namespace"], - head_cpus=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][0][ - "resources" - ]["limits"]["cpu"], - head_mem=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][0][ - "resources" - ]["limits"]["memory"], + head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["requests"]["cpu"], + head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["limits"]["cpu"], + head_mem_requests=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["requests"]["memory"], + head_mem_limits=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["limits"]["memory"], head_extended_resources=head_extended_resources, dashboard=dashboard_url, ) @@ -890,14 +908,16 @@ def _copy_to_ray(cluster: Cluster) -> RayCluster: name=cluster.config.name, status=cluster.status(print_to_console=False)[0], workers=cluster.config.num_workers, - worker_mem_min=cluster.config.worker_memory_requests, - worker_mem_max=cluster.config.worker_memory_limits, + worker_mem_requests=cluster.config.worker_memory_requests, + worker_mem_limits=cluster.config.worker_memory_limits, worker_cpu=cluster.config.worker_cpu_requests, worker_extended_resources=cluster.config.worker_extended_resource_requests, namespace=cluster.config.namespace, dashboard=cluster.cluster_dashboard_uri(), - head_cpus=cluster.config.head_cpus, - head_mem=cluster.config.head_memory, + head_mem_requests=cluster.config.head_memory_requests, + head_mem_limits=cluster.config.head_memory_limits, + head_cpu_requests=cluster.config.head_cpu_requests, + head_cpu_limits=cluster.config.head_cpu_limits, head_extended_resources=cluster.config.head_extended_resource_requests, ) if ray.status == CodeFlareClusterStatus.READY: diff --git a/src/codeflare_sdk/cluster/config.py b/src/codeflare_sdk/cluster/config.py index 610d53c4..3c59d593 100644 --- a/src/codeflare_sdk/cluster/config.py +++ b/src/codeflare_sdk/cluster/config.py @@ -75,10 +75,16 @@ class ClusterConfiguration: name: str namespace: Optional[str] = None head_info: List[str] = field(default_factory=list) - head_cpus: Union[int, str] = 2 - head_memory: Union[int, str] = 8 + head_cpu_requests: Union[int, str] = 2 + head_cpu_limits: Union[int, str] = 2 + head_cpus: Optional[Union[int, str]] = None # Deprecating + head_memory_requests: Union[int, str] = 8 + head_memory_limits: Union[int, str] = 8 + head_memory: Optional[Union[int, str]] = None # Deprecating head_gpus: Optional[int] = None # Deprecating - head_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + head_extended_resource_requests: Dict[str, Union[str, int]] = field( + default_factory=dict + ) machine_types: List[str] = field( default_factory=list ) # ["m4.xlarge", "g4dn.xlarge"] @@ -100,7 +106,9 @@ class ClusterConfiguration: write_to_file: bool = False verify_tls: bool = True labels: Dict[str, str] = field(default_factory=dict) - worker_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + worker_extended_resource_requests: Dict[str, Union[str, int]] = field( + default_factory=dict + ) extended_resource_mapping: Dict[str, str] = field(default_factory=dict) overwrite_default_resource_mapping: bool = False local_queue: Optional[str] = None @@ -183,14 +191,21 @@ def _str_mem_no_unit_add_GB(self): self.worker_memory_limits = f"{self.worker_memory_limits}G" def _memory_to_string(self): - if isinstance(self.head_memory, int): - self.head_memory = f"{self.head_memory}G" + if isinstance(self.head_memory_requests, int): + self.head_memory_requests = f"{self.head_memory_requests}G" + if isinstance(self.head_memory_limits, int): + self.head_memory_limits = f"{self.head_memory_limits}G" if isinstance(self.worker_memory_requests, int): self.worker_memory_requests = f"{self.worker_memory_requests}G" if isinstance(self.worker_memory_limits, int): self.worker_memory_limits = f"{self.worker_memory_limits}G" def _cpu_to_resource(self): + if self.head_cpus: + warnings.warn( + "head_cpus is being deprecated, use head_cpu_requests and head_cpu_limits" + ) + self.head_cpu_requests = self.head_cpu_limits = self.head_cpus if self.min_cpus: warnings.warn("min_cpus is being deprecated, use worker_cpu_requests") self.worker_cpu_requests = self.min_cpus @@ -199,6 +214,11 @@ def _cpu_to_resource(self): self.worker_cpu_limits = self.max_cpus def _memory_to_resource(self): + if self.head_memory: + warnings.warn( + "head_memory is being deprecated, use head_memory_requests and head_memory_limits" + ) + self.head_memory_requests = self.head_memory_limits = self.head_memory if self.min_memory: warnings.warn("min_memory is being deprecated, use worker_memory_requests") self.worker_memory_requests = f"{self.min_memory}G" diff --git a/src/codeflare_sdk/cluster/model.py b/src/codeflare_sdk/cluster/model.py index 5d6e2ed2..ab7b30ed 100644 --- a/src/codeflare_sdk/cluster/model.py +++ b/src/codeflare_sdk/cluster/model.py @@ -73,11 +73,13 @@ class RayCluster: name: str status: RayClusterStatus - head_cpus: int - head_mem: str + head_cpu_requests: int + head_cpu_limits: int + head_mem_requests: str + head_mem_limits: str workers: int - worker_mem_min: str - worker_mem_max: str + worker_mem_requests: str + worker_mem_limits: str worker_cpu: int namespace: str dashboard: str diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index 1644dc15..c4e1755d 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -115,22 +115,22 @@ def update_env(spec, env): def update_resources( spec, - worker_cpu_requests, - worker_cpu_limits, - worker_memory_requests, - worker_memory_limits, + cpu_requests, + cpu_limits, + memory_requests, + memory_limits, custom_resources, ): container = spec.get("containers") for resource in container: requests = resource.get("resources").get("requests") if requests is not None: - requests["cpu"] = worker_cpu_requests - requests["memory"] = worker_memory_requests + requests["cpu"] = cpu_requests + requests["memory"] = memory_requests limits = resource.get("resources").get("limits") if limits is not None: - limits["cpu"] = worker_cpu_limits - limits["memory"] = worker_memory_limits + limits["cpu"] = cpu_limits + limits["memory"] = memory_limits for k in custom_resources.keys(): limits[k] = custom_resources[k] requests[k] = custom_resources[k] @@ -210,10 +210,10 @@ def update_nodes( # TODO: Eventually add head node configuration outside of template update_resources( spec, - cluster.config.head_cpus, - cluster.config.head_cpus, - cluster.config.head_memory, - cluster.config.head_memory, + cluster.config.head_cpu_requests, + cluster.config.head_cpu_limits, + cluster.config.head_memory_requests, + cluster.config.head_memory_limits, cluster.config.head_extended_resource_requests, ) else: diff --git a/src/codeflare_sdk/utils/pretty_print.py b/src/codeflare_sdk/utils/pretty_print.py index 9431ffd7..4842c9cd 100644 --- a/src/codeflare_sdk/utils/pretty_print.py +++ b/src/codeflare_sdk/utils/pretty_print.py @@ -136,7 +136,7 @@ def print_clusters(clusters: List[RayCluster]): name = cluster.name dashboard = cluster.dashboard workers = str(cluster.workers) - memory = f"{cluster.worker_mem_min}~{cluster.worker_mem_max}" + memory = f"{cluster.worker_mem_requests}~{cluster.worker_mem_limits}" cpu = str(cluster.worker_cpu) gpu = str(cluster.worker_extended_resources.get("nvidia.com/gpu", 0)) From 1fec8705b04efc0e11007146a99602a1864c8909 Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Mon, 9 Sep 2024 15:05:59 +0100 Subject: [PATCH 096/254] test: update unit and e2e tests with split head resources Signed-off-by: Bobbins228 --- .github/workflows/guided_notebook_tests.yaml | 6 ++--- tests/e2e/local_interactive_sdk_kind_test.py | 6 +++-- .../e2e/mnist_raycluster_sdk_aw_kind_test.py | 6 +++-- tests/e2e/mnist_raycluster_sdk_kind_test.py | 6 +++-- tests/e2e/mnist_raycluster_sdk_oauth_test.py | 6 +++-- tests/e2e/start_ray_cluster.py | 6 +++-- tests/unit_test.py | 24 +++++++++++-------- .../raycluster_sdk_upgrade_sleep_test.py | 6 +++-- tests/upgrade/raycluster_sdk_upgrade_test.py | 6 +++-- 9 files changed, 45 insertions(+), 27 deletions(-) diff --git a/.github/workflows/guided_notebook_tests.yaml b/.github/workflows/guided_notebook_tests.yaml index 299c67ef..eb6c5cd2 100644 --- a/.github/workflows/guided_notebook_tests.yaml +++ b/.github/workflows/guided_notebook_tests.yaml @@ -84,7 +84,7 @@ jobs: jq -r 'del(.cells[] | select(.source[] | contains("Create authentication object for user permissions")))' 0_basic_ray.ipynb > 0_basic_ray.ipynb.tmp && mv 0_basic_ray.ipynb.tmp 0_basic_ray.ipynb jq -r 'del(.cells[] | select(.source[] | contains("auth.logout()")))' 0_basic_ray.ipynb > 0_basic_ray.ipynb.tmp && mv 0_basic_ray.ipynb.tmp 0_basic_ray.ipynb # Set explicit namespace as SDK need it (currently) to resolve local queues - sed -i "s/head_memory=2,/head_memory=2, namespace='default',/" 0_basic_ray.ipynb + sed -i "s/head_memory_limits=2,/head_memory_limits=2, namespace='default',/" 0_basic_ray.ipynb # Run notebook poetry run papermill 0_basic_ray.ipynb 0_basic_ray_out.ipynb --log-output --execution-timeout 600 working-directory: demo-notebooks/guided-demos @@ -206,7 +206,7 @@ jobs: JOB_WAIT=$(jq -r '.' ${GITHUB_WORKSPACE}/.github/resources/wait_for_job_cell.json) jq --argjson job_wait "$JOB_WAIT" -r '(.cells[] | select(.source[] | contains("async for lines in client.tail_job_logs"))) |= $job_wait' 1_cluster_job_client.ipynb > 1_cluster_job_client.ipynb.tmp && mv 1_cluster_job_client.ipynb.tmp 1_cluster_job_client.ipynb # Set explicit namespace as SDK need it (currently) to resolve local queues - sed -i "s/head_cpus=1,/head_cpus=1, namespace='default',/" 1_cluster_job_client.ipynb + sed -i "s/head_cpu_limits=1,/head_cpu_limits=1, namespace='default',/" 1_cluster_job_client.ipynb # Run notebook poetry run papermill 1_cluster_job_client.ipynb 1_cluster_job_client_out.ipynb --log-output --execution-timeout 1200 working-directory: demo-notebooks/guided-demos @@ -332,7 +332,7 @@ jobs: # Rewrite cluster_uri() to local_client_url() to retrieve client URL available out of cluster, as the test is executed outside of cluster sed -i "s/cluster_uri()/local_client_url()/" 2_basic_interactive.ipynb # Set explicit namespace as SDK need it (currently) to resolve local queues - sed -i "s/head_cpus=1,/head_cpus=1, namespace='default',/" 2_basic_interactive.ipynb + sed -i "s/head_cpu_limits=1,/head_cpu_limits=1, namespace='default',/" 2_basic_interactive.ipynb # Add MINIO related modules to runtime environment sed -i "s/\\\\\"transformers/\\\\\"s3fs\\\\\", \\\\\"pyarrow\\\\\", \\\\\"transformers/" 2_basic_interactive.ipynb # Replace markdown cell with remote configuration for MINIO diff --git a/tests/e2e/local_interactive_sdk_kind_test.py b/tests/e2e/local_interactive_sdk_kind_test.py index 6693117b..c20fd879 100644 --- a/tests/e2e/local_interactive_sdk_kind_test.py +++ b/tests/e2e/local_interactive_sdk_kind_test.py @@ -44,8 +44,10 @@ def run_local_interactives( name=cluster_name, namespace=self.namespace, num_workers=1, - head_cpus="500m", - head_memory=2, + head_cpu_requests="500m", + head_cpu_limits="500m", + head_memory_requests=2, + head_memory_limits=2, worker_cpu_requests="500m", worker_cpu_limits=1, worker_memory_requests=1, diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py index 012098a4..d7949b8c 100644 --- a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py @@ -42,8 +42,10 @@ def run_mnist_raycluster_sdk_kind( name="mnist", namespace=self.namespace, num_workers=1, - head_cpus="500m", - head_memory=2, + head_cpu_requests="500m", + head_cpu_limits="500m", + head_memory_requests=2, + head_memory_limits=2, worker_cpu_requests="500m", worker_cpu_limits=1, worker_memory_requests=1, diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py index 2623b36c..d81e9149 100644 --- a/tests/e2e/mnist_raycluster_sdk_kind_test.py +++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py @@ -42,8 +42,10 @@ def run_mnist_raycluster_sdk_kind( name="mnist", namespace=self.namespace, num_workers=1, - head_cpus="500m", - head_memory=2, + head_cpu_requests="500m", + head_cpu_limits="500m", + head_memory_requests=2, + head_memory_limits=2, worker_cpu_requests="500m", worker_cpu_limits=1, worker_memory_requests=1, diff --git a/tests/e2e/mnist_raycluster_sdk_oauth_test.py b/tests/e2e/mnist_raycluster_sdk_oauth_test.py index 3fe6177c..7e4002ad 100644 --- a/tests/e2e/mnist_raycluster_sdk_oauth_test.py +++ b/tests/e2e/mnist_raycluster_sdk_oauth_test.py @@ -42,8 +42,10 @@ def run_mnist_raycluster_sdk_oauth(self): name="mnist", namespace=self.namespace, num_workers=1, - head_cpus="500m", - head_memory=4, + head_cpu_requests="500m", + head_cpu_limits="500m", + head_memory_requests=4, + head_memory_limits=4, worker_cpu_requests=1, worker_cpu_limits=1, worker_memory_requests=1, diff --git a/tests/e2e/start_ray_cluster.py b/tests/e2e/start_ray_cluster.py index b34f0331..48ab604f 100644 --- a/tests/e2e/start_ray_cluster.py +++ b/tests/e2e/start_ray_cluster.py @@ -13,8 +13,10 @@ name="mnist", namespace=namespace, num_workers=1, - head_cpus="500m", - head_memory=2, + head_cpu_requests="500m", + head_cpu_limits="500m", + head_memory_requests=2, + head_memory_limits=2, worker_cpu_requests="500m", worker_cpu_limits=1, worker_memory_requests=1, diff --git a/tests/unit_test.py b/tests/unit_test.py index 111f737c..388723c5 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -942,13 +942,15 @@ def test_ray_details(mocker, capsys): name="raytest1", status=RayClusterStatus.READY, workers=1, - worker_mem_min="2G", - worker_mem_max="2G", + worker_mem_requests="2G", + worker_mem_limits="2G", worker_cpu=1, namespace="ns", dashboard="fake-uri", - head_cpus=2, - head_mem=8, + head_cpu_requests=2, + head_cpu_limits=2, + head_mem_requests=8, + head_mem_limits=8, ) mocker.patch( "codeflare_sdk.cluster.cluster.Cluster.status", @@ -978,8 +980,8 @@ def test_ray_details(mocker, capsys): assert ray2.name == "raytest2" assert ray1.namespace == ray2.namespace assert ray1.workers == ray2.workers - assert ray1.worker_mem_min == ray2.worker_mem_min - assert ray1.worker_mem_max == ray2.worker_mem_max + assert ray1.worker_mem_requests == ray2.worker_mem_requests + assert ray1.worker_mem_limits == ray2.worker_mem_limits assert ray1.worker_cpu == ray2.worker_cpu assert ray1.worker_extended_resources == ray2.worker_extended_resources try: @@ -2356,13 +2358,15 @@ def test_cluster_status(mocker): name="test", status=RayClusterStatus.UNKNOWN, workers=1, - worker_mem_min=2, - worker_mem_max=2, + worker_mem_requests=2, + worker_mem_limits=2, worker_cpu=1, namespace="ns", dashboard="fake-uri", - head_cpus=2, - head_mem=8, + head_cpu_requests=2, + head_cpu_limits=2, + head_mem_requests=8, + head_mem_limits=8, ) cf = Cluster( ClusterConfiguration( diff --git a/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py b/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py index c415b2fc..cf21fee0 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py @@ -53,8 +53,10 @@ def run_mnist_raycluster_sdk_oauth(self): name="mnist", namespace=self.namespace, num_workers=1, - head_cpus=1, - head_memory=4, + head_cpu_requests=1, + head_cpu_limits=1, + head_memory_requests=4, + head_memory_limits=4, worker_cpu_requests=1, worker_cpu_limits=1, worker_memory_requests=4, diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py index 640b1b5d..05862d07 100644 --- a/tests/upgrade/raycluster_sdk_upgrade_test.py +++ b/tests/upgrade/raycluster_sdk_upgrade_test.py @@ -48,8 +48,10 @@ def run_mnist_raycluster_sdk_oauth(self): name="mnist", namespace=self.namespace, num_workers=1, - head_cpus=1, - head_memory=4, + head_cpu_requests=1, + head_cpu_limits=1, + head_memory_requests=4, + head_memory_limits=4, worker_cpu_requests=1, worker_cpu_limits=1, worker_memory_requests=4, From 2133af9489d83edc4c1ae74049abcb5eab385dab Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Mon, 9 Sep 2024 15:06:25 +0100 Subject: [PATCH 097/254] docs: update notebooks with split head resources Signed-off-by: Bobbins228 --- demo-notebooks/guided-demos/0_basic_ray.ipynb | 6 ++++-- demo-notebooks/guided-demos/1_cluster_job_client.ipynb | 6 ++++-- demo-notebooks/guided-demos/2_basic_interactive.ipynb | 6 ++++-- 3 files changed, 12 insertions(+), 6 deletions(-) diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb index 2a9ae48e..58a52727 100644 --- a/demo-notebooks/guided-demos/0_basic_ray.ipynb +++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb @@ -62,8 +62,10 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='raytest', \n", - " head_cpus='500m',\n", - " head_memory=2,\n", + " head_cpu_requests='500m',\n", + " head_cpu_limits='500m',\n", + " head_memory_requests=2,\n", + " head_memory_limits=2,\n", " head_extended_resource_requests={'nvidia.com/gpu':0}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", " worker_extended_resource_requests={'nvidia.com/gpu':0},\n", " num_workers=2,\n", diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb index 0857042a..05682d82 100644 --- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb +++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb @@ -55,8 +55,10 @@ "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", " name='jobtest',\n", - " head_cpus=1,\n", - " head_memory=4,\n", + " head_cpu_requests=1,\n", + " head_cpu_limits=1,\n", + " head_memory_requests=4,\n", + " head_memory_limits=4,\n", " head_extended_resource_requests={'nvidia.com/gpu':1}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", " worker_extended_resource_requests={'nvidia.com/gpu':1},\n", " num_workers=2,\n", diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb index 98fcafa2..1612af3f 100644 --- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb +++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb @@ -60,8 +60,10 @@ "cluster_name = \"interactivetest\"\n", "cluster = Cluster(ClusterConfiguration(\n", " name=cluster_name,\n", - " head_cpus=1,\n", - " head_memory=6,\n", + " head_cpu_requests=1,\n", + " head_cpu_limits=1,\n", + " head_memory_requests=6,\n", + " head_memory_limits=6,\n", " head_extended_resource_requests={'nvidia.com/gpu':1}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", " worker_extended_resource_requests={'nvidia.com/gpu':1},\n", " num_workers=2,\n", From 1235fc82394465b1040a55ae0b8900cca3e3f51b Mon Sep 17 00:00:00 2001 From: Bobbins228 Date: Tue, 10 Sep 2024 14:47:53 +0100 Subject: [PATCH 098/254] docs: update documentation to include depreciating variables Signed-off-by: Bobbins228 --- docs/cluster-configuration.md | 20 ++++++++++++++++++-- 1 file changed, 18 insertions(+), 2 deletions(-) diff --git a/docs/cluster-configuration.md b/docs/cluster-configuration.md index 47110e4b..97068b49 100644 --- a/docs/cluster-configuration.md +++ b/docs/cluster-configuration.md @@ -9,8 +9,10 @@ from codeflare_sdk import Cluster, ClusterConfiguration cluster = Cluster(ClusterConfiguration( name='ray-example', # Mandatory Field namespace='default', # Default None - head_cpus=1, # Default 2 - head_memory=1, # Default 8 + head_cpu_requests=1, # Default 2 + head_cpu_limits=1, # Default 2 + head_memory_requests=1, # Default 8 + head_memory_limits=1, # Default 8 head_extended_resource_requests={'nvidia.com/gpu':0}, # Default 0 worker_extended_resource_requests={'nvidia.com/gpu':0}, # Default 0 num_workers=1, # Default 1 @@ -28,3 +30,17 @@ Note: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the Code The `labels={"exampleLabel": "example"}` parameter can be used to apply additional labels to the RayCluster resource. After creating their `cluster`, a user can call `cluster.up()` and `cluster.down()` to respectively create or remove the Ray Cluster. + + +## Deprecating Parameters +The following parameters of the `ClusterConfiguration` are being deprecated in release `v0.22.0`. +| Deprecated Parameter | Replaced By | +| :--------- | :-------- | +| `head_cpus` | `head_cpu_requests`, `head_cpu_limits` | +| `head_memory` | `head_memory_requests`, `head_memory_limits` | +| `min_cpus` | `worker_cpu_requests` | +| `max_cpus` | `worker_cpu_limits` | +| `min_memory` | `worker_memory_requests` | +| `max_memory` | `worker_memory_limits` | +| `head_gpus` | `head_extended_resource_requests` | +| `num_gpus` | `worker_extended_resource_requests` | From 9a59be80b2b2b4367f75ff83c24007c81b5551e0 Mon Sep 17 00:00:00 2001 From: Fiona Waters Date: Mon, 23 Sep 2024 11:52:33 +0100 Subject: [PATCH 099/254] Update default ray image to use static SHA tag --- src/codeflare_sdk/templates/base-template.yaml | 4 ++-- tests/e2e/support.py | 2 +- tests/test-case-bad.yaml | 4 ++-- tests/test-case-no-kueue-no-aw.yaml | 4 ++-- tests/test-case-no-mcad.yamls | 4 ++-- tests/test-case.yaml | 4 ++-- tests/test-default-appwrapper.yaml | 4 ++-- tests/unit_test_support.py | 2 +- 8 files changed, 14 insertions(+), 14 deletions(-) diff --git a/src/codeflare_sdk/templates/base-template.yaml b/src/codeflare_sdk/templates/base-template.yaml index d6b2ce55..6240e986 100644 --- a/src/codeflare_sdk/templates/base-template.yaml +++ b/src/codeflare_sdk/templates/base-template.yaml @@ -69,7 +69,7 @@ spec: containers: # The Ray head pod - name: ray-head - image: quay.io/modh/ray:2.35.0-py39-cu121 + image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 imagePullPolicy: Always ports: - containerPort: 6379 @@ -150,7 +150,7 @@ spec: spec: containers: - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name', or '123-abc' - image: quay.io/modh/ray:2.35.0-py39-cu121 + image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 # environment variables to set in the container.Optional. # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/ lifecycle: diff --git a/tests/e2e/support.py b/tests/e2e/support.py index 4a8b6ca0..80f994cd 100644 --- a/tests/e2e/support.py +++ b/tests/e2e/support.py @@ -8,7 +8,7 @@ def get_ray_image(): - default_ray_image = "quay.io/modh/ray:2.35.0-py39-cu121" + default_ray_image = "quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283" return os.getenv("RAY_IMAGE", default_ray_image) diff --git a/tests/test-case-bad.yaml b/tests/test-case-bad.yaml index 3c9da72c..91b553aa 100644 --- a/tests/test-case-bad.yaml +++ b/tests/test-case-bad.yaml @@ -43,7 +43,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/modh/ray:2.35.0-py39-cu121 + image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 imagePullPolicy: Always lifecycle: preStop: @@ -90,7 +90,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/modh/ray:2.35.0-py39-cu121 + image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 lifecycle: preStop: exec: diff --git a/tests/test-case-no-kueue-no-aw.yaml b/tests/test-case-no-kueue-no-aw.yaml index 87a9242e..62c8cb0c 100644 --- a/tests/test-case-no-kueue-no-aw.yaml +++ b/tests/test-case-no-kueue-no-aw.yaml @@ -31,7 +31,7 @@ spec: template: spec: containers: - - image: quay.io/modh/ray:2.35.0-py39-cu121 + - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 imagePullPolicy: Always lifecycle: preStop: @@ -103,7 +103,7 @@ spec: key: value spec: containers: - - image: quay.io/modh/ray:2.35.0-py39-cu121 + - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 lifecycle: preStop: exec: diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index a686dd47..babc4fce 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -34,7 +34,7 @@ spec: template: spec: containers: - - image: quay.io/modh/ray:2.35.0-py39-cu121 + - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 imagePullPolicy: Always lifecycle: preStop: @@ -106,7 +106,7 @@ spec: key: value spec: containers: - - image: quay.io/modh/ray:2.35.0-py39-cu121 + - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 lifecycle: preStop: exec: diff --git a/tests/test-case.yaml b/tests/test-case.yaml index 9d85c5a9..e8b7b89d 100644 --- a/tests/test-case.yaml +++ b/tests/test-case.yaml @@ -39,7 +39,7 @@ spec: template: spec: containers: - - image: quay.io/modh/ray:2.35.0-py39-cu121 + - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 imagePullPolicy: Always lifecycle: preStop: @@ -111,7 +111,7 @@ spec: key: value spec: containers: - - image: quay.io/modh/ray:2.35.0-py39-cu121 + - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 lifecycle: preStop: exec: diff --git a/tests/test-default-appwrapper.yaml b/tests/test-default-appwrapper.yaml index 7abc17ed..e8bd7430 100644 --- a/tests/test-default-appwrapper.yaml +++ b/tests/test-default-appwrapper.yaml @@ -40,7 +40,7 @@ spec: spec: imagePullSecrets: [] containers: - - image: quay.io/modh/ray:2.35.0-py39-cu121 + - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 imagePullPolicy: Always lifecycle: preStop: @@ -111,7 +111,7 @@ spec: spec: imagePullSecrets: [] containers: - - image: quay.io/modh/ray:2.35.0-py39-cu121 + - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 lifecycle: preStop: exec: diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index 22713d2d..018857a3 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -45,7 +45,7 @@ def createClusterWrongType(): appwrapper=True, machine_types=[True, False], image_pull_secrets=["unit-test-pull-secret"], - image="quay.io/modh/ray:2.35.0-py39-cu121", + image="quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283", write_to_file=True, labels={1: 1}, ) From 868386ec038a8b62926f76351068f6b860183951 Mon Sep 17 00:00:00 2001 From: Fiona Waters Date: Mon, 23 Sep 2024 13:40:03 +0100 Subject: [PATCH 100/254] Updating ray image with correct SHA --- src/codeflare_sdk/templates/base-template.yaml | 4 ++-- tests/e2e/support.py | 2 +- tests/test-case-bad.yaml | 4 ++-- tests/test-case-no-kueue-no-aw.yaml | 4 ++-- tests/test-case-no-mcad.yamls | 4 ++-- tests/test-case.yaml | 4 ++-- tests/test-default-appwrapper.yaml | 4 ++-- tests/unit_test_support.py | 2 +- 8 files changed, 14 insertions(+), 14 deletions(-) diff --git a/src/codeflare_sdk/templates/base-template.yaml b/src/codeflare_sdk/templates/base-template.yaml index 6240e986..494177f9 100644 --- a/src/codeflare_sdk/templates/base-template.yaml +++ b/src/codeflare_sdk/templates/base-template.yaml @@ -69,7 +69,7 @@ spec: containers: # The Ray head pod - name: ray-head - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe imagePullPolicy: Always ports: - containerPort: 6379 @@ -150,7 +150,7 @@ spec: spec: containers: - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name', or '123-abc' - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe # environment variables to set in the container.Optional. # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/ lifecycle: diff --git a/tests/e2e/support.py b/tests/e2e/support.py index 80f994cd..8290b8cd 100644 --- a/tests/e2e/support.py +++ b/tests/e2e/support.py @@ -8,7 +8,7 @@ def get_ray_image(): - default_ray_image = "quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283" + default_ray_image = "quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe" return os.getenv("RAY_IMAGE", default_ray_image) diff --git a/tests/test-case-bad.yaml b/tests/test-case-bad.yaml index 91b553aa..dedd2145 100644 --- a/tests/test-case-bad.yaml +++ b/tests/test-case-bad.yaml @@ -43,7 +43,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe imagePullPolicy: Always lifecycle: preStop: @@ -90,7 +90,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe lifecycle: preStop: exec: diff --git a/tests/test-case-no-kueue-no-aw.yaml b/tests/test-case-no-kueue-no-aw.yaml index 62c8cb0c..23d73606 100644 --- a/tests/test-case-no-kueue-no-aw.yaml +++ b/tests/test-case-no-kueue-no-aw.yaml @@ -31,7 +31,7 @@ spec: template: spec: containers: - - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe imagePullPolicy: Always lifecycle: preStop: @@ -103,7 +103,7 @@ spec: key: value spec: containers: - - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe lifecycle: preStop: exec: diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index babc4fce..12a66dc4 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -34,7 +34,7 @@ spec: template: spec: containers: - - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe imagePullPolicy: Always lifecycle: preStop: @@ -106,7 +106,7 @@ spec: key: value spec: containers: - - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe lifecycle: preStop: exec: diff --git a/tests/test-case.yaml b/tests/test-case.yaml index e8b7b89d..9c9a9d5a 100644 --- a/tests/test-case.yaml +++ b/tests/test-case.yaml @@ -39,7 +39,7 @@ spec: template: spec: containers: - - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe imagePullPolicy: Always lifecycle: preStop: @@ -111,7 +111,7 @@ spec: key: value spec: containers: - - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe lifecycle: preStop: exec: diff --git a/tests/test-default-appwrapper.yaml b/tests/test-default-appwrapper.yaml index e8bd7430..6bf3acf5 100644 --- a/tests/test-default-appwrapper.yaml +++ b/tests/test-default-appwrapper.yaml @@ -40,7 +40,7 @@ spec: spec: imagePullSecrets: [] containers: - - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe imagePullPolicy: Always lifecycle: preStop: @@ -111,7 +111,7 @@ spec: spec: imagePullSecrets: [] containers: - - image: quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283 + - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe lifecycle: preStop: exec: diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index 018857a3..70ea8016 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -45,7 +45,7 @@ def createClusterWrongType(): appwrapper=True, machine_types=[True, False], image_pull_secrets=["unit-test-pull-secret"], - image="quay.io/modh/ray@sha256:83084b89885232e5733027b2ee45b83d3642ce32ae0b8e18b79ed45b6e734283", + image="quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe", write_to_file=True, labels={1: 1}, ) From c6ed1a1df93632c6f3763a31a328118f704f0b8b Mon Sep 17 00:00:00 2001 From: oksanabaza Date: Mon, 23 Sep 2024 13:20:31 +0100 Subject: [PATCH 101/254] Remove unused mock code for MD5 checks --- tests/e2e/mnist.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/tests/e2e/mnist.py b/tests/e2e/mnist.py index ba5ec96f..143a6b6c 100644 --- a/tests/e2e/mnist.py +++ b/tests/e2e/mnist.py @@ -15,7 +15,6 @@ import os import torch -import torchvision.datasets.utils as utils import requests from pytorch_lightning import LightningModule, Trainer from pytorch_lightning.callbacks.progress import TQDMProgressBar @@ -139,11 +138,6 @@ def configure_optimizers(self): #################### def prepare_data(self): - def check_md5(fpath, md5=None): - return True - - utils.check_md5 = check_md5 - # download print("Downloading MNIST dataset...") From 2d791b4e22eec647bdf1fb5147a249f2c3d57958 Mon Sep 17 00:00:00 2001 From: Ignas Baranauskas Date: Mon, 16 Sep 2024 12:00:13 +0100 Subject: [PATCH 102/254] UI visual regression testing to cover UI widgets visibility --- .github/workflows/ui_notebooks_test.yaml | 113 + .gitignore | 4 + .../guided-demos/3_widget_example.ipynb | 119 + poetry.lock | 1105 ++++++- pyproject.toml | 1 + ui-tests/.yarnrc | 4 + ui-tests/jupyter_server_config.py | 6 + ui-tests/package.json | 22 + ui-tests/playwright.config.js | 13 + .../tests/widget_notebook_example.test.ts | 64 + .../widgets-cell-0-linux.png | Bin 0 -> 16694 bytes .../widgets-cell-2-linux.png | Bin 0 -> 33158 bytes .../widgets-cell-3-linux.png | Bin 0 -> 7513 bytes .../widgets-cell-4-linux.png | Bin 0 -> 9895 bytes ui-tests/yarn.lock | 2812 +++++++++++++++++ 15 files changed, 4261 insertions(+), 2 deletions(-) create mode 100644 .github/workflows/ui_notebooks_test.yaml create mode 100644 demo-notebooks/guided-demos/3_widget_example.ipynb create mode 100644 ui-tests/.yarnrc create mode 100644 ui-tests/jupyter_server_config.py create mode 100644 ui-tests/package.json create mode 100644 ui-tests/playwright.config.js create mode 100644 ui-tests/tests/widget_notebook_example.test.ts create mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-0-linux.png create mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-2-linux.png create mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-3-linux.png create mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-4-linux.png create mode 100644 ui-tests/yarn.lock diff --git a/.github/workflows/ui_notebooks_test.yaml b/.github/workflows/ui_notebooks_test.yaml new file mode 100644 index 00000000..864330b9 --- /dev/null +++ b/.github/workflows/ui_notebooks_test.yaml @@ -0,0 +1,113 @@ +name: UI notebooks tests + +on: + pull_request: + types: [labeled] + +concurrency: + group: ${{ github.head_ref }}-${{ github.workflow }} + cancel-in-progress: true + +env: + CODEFLARE_OPERATOR_IMG: "quay.io/project-codeflare/codeflare-operator:dev" + +jobs: + verify-3_widget_example: + if: ${{ github.event.label.name == 'test-guided-notebooks' || github.event.label.name == 'test-ui-notebooks'}} + runs-on: ubuntu-20.04-4core + + steps: + - name: Checkout code + uses: actions/checkout@v4 + with: + submodules: recursive + + - name: Checkout common repo code + uses: actions/checkout@v4 + with: + repository: "project-codeflare/codeflare-common" + ref: "main" + path: "common" + + - name: Checkout CodeFlare operator repository + uses: actions/checkout@v4 + with: + repository: project-codeflare/codeflare-operator + path: codeflare-operator + + - name: Set Go + uses: actions/setup-go@v5 + with: + go-version-file: "./codeflare-operator/go.mod" + cache-dependency-path: "./codeflare-operator/go.sum" + + - name: Set up gotestfmt + uses: gotesttools/gotestfmt-action@v2 + with: + token: ${{ secrets.GITHUB_TOKEN }} + + - name: Set up specific Python version + uses: actions/setup-python@v5 + with: + python-version: "3.9" + cache: "pip" # caching pip dependencies + + - name: Setup and start KinD cluster + uses: ./common/github-actions/kind + + - name: Deploy CodeFlare stack + id: deploy + run: | + cd codeflare-operator + echo Setting up CodeFlare stack + make setup-e2e + echo Deploying CodeFlare operator + make deploy -e IMG="${CODEFLARE_OPERATOR_IMG}" -e ENV="e2e" + kubectl wait --timeout=120s --for=condition=Available=true deployment -n openshift-operators codeflare-operator-manager + cd .. + + - name: Setup Guided notebooks execution + run: | + echo "Installing papermill and dependencies..." + pip install poetry ipython ipykernel + poetry config virtualenvs.create false + echo "Installing SDK..." + poetry install --with test,docs + + - name: Install Yarn dependencies + run: | + poetry run yarn install + poetry run yarn playwright install chromium + working-directory: ui-tests + + - name: Fix 3_widget_example.ipynb notebook for test + run: | + # Remove login/logout cells, as KinD doesn't support authentication using token + jq -r 'del(.cells[] | select(.source[] | contains("Create authentication object for user permissions")))' 3_widget_example.ipynb > 3_widget_example.ipynb.tmp && mv 3_widget_example.ipynb.tmp 3_widget_example.ipynb + jq -r 'del(.cells[] | select(.source[] | contains("auth.logout()")))' 3_widget_example.ipynb > 3_widget_example.ipynb.tmp && mv 3_widget_example.ipynb.tmp 3_widget_example.ipynb + # Set explicit namespace as SDK need it (currently) to resolve local queues + sed -i "s/head_memory_limits=2,/head_memory_limits=2, namespace='default',/" 3_widget_example.ipynb + working-directory: demo-notebooks/guided-demos + + - name: Run UI notebook tests + run: | + set -euo pipefail + + poetry run yarn test + working-directory: ui-tests + + - name: Upload Playwright Test assets + if: always() + uses: actions/upload-artifact@v4 + with: + name: ipywidgets-test-assets + path: | + ui-tests/test-results + + - name: Upload Playwright Test report + if: always() + uses: actions/upload-artifact@v4 + with: + name: ipywidgets-test-report + path: | + ui-tests/playwright-report diff --git a/.gitignore b/.gitignore index 9b0018c2..c089dfc6 100644 --- a/.gitignore +++ b/.gitignore @@ -8,3 +8,7 @@ Pipfile.lock build/ tls-cluster-namespace quicktest.yaml +node_modules +.DS_Store +ui-tests/playwright-report +ui-tests/test-results diff --git a/demo-notebooks/guided-demos/3_widget_example.ipynb b/demo-notebooks/guided-demos/3_widget_example.ipynb new file mode 100644 index 00000000..4d3d6ea7 --- /dev/null +++ b/demo-notebooks/guided-demos/3_widget_example.ipynb @@ -0,0 +1,119 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8d4a42f6", + "metadata": {}, + "source": [ + "In this notebook, we will go through the basics of using the SDK to:\n", + " - Spin up a Ray cluster with our desired resources\n", + " - View the status and specs of our Ray cluster\n", + " - Take down the Ray cluster when finished" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b55bc3ea-4ce3-49bf-bb1f-e209de8ca47a", + "metadata": {}, + "outputs": [], + "source": [ + "# Import pieces from codeflare-sdk\n", + "from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "614daa0c", + "metadata": {}, + "outputs": [], + "source": [ + "# Create authentication object for user permissions\n", + "# IF unused, SDK will automatically check for default kubeconfig, then in-cluster config\n", + "# KubeConfigFileAuthentication can also be used to specify kubeconfig path manually\n", + "auth = TokenAuthentication(\n", + " token = \"XXXXX\",\n", + " server = \"XXXXX\",\n", + " skip_tls=False\n", + ")\n", + "auth.login()" + ] + }, + { + "cell_type": "markdown", + "id": "bc27f84c", + "metadata": {}, + "source": [ + "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n", + "\n", + "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n", + "If you have your own Ray image which suits your purposes, specify it in image field to override the default image." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0f4bc870-091f-4e11-9642-cba145710159", + "metadata": {}, + "outputs": [], + "source": [ + "# Create and configure our cluster object\n", + "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", + "cluster = Cluster(ClusterConfiguration(\n", + " name='raytest', \n", + " head_cpu_requests='500m',\n", + " head_cpu_limits='500m',\n", + " head_memory_requests=2,\n", + " head_memory_limits=2,\n", + " head_extended_resource_requests={'nvidia.com/gpu':0}, # For GPU enabled workloads set the head_extended_resource_requests and worker_extended_resource_requests\n", + " worker_extended_resource_requests={'nvidia.com/gpu':0},\n", + " num_workers=2,\n", + " worker_cpu_requests='250m',\n", + " worker_cpu_limits=1,\n", + " worker_memory_requests=2,\n", + " worker_memory_limits=2,\n", + " # image=\"\", # Optional Field \n", + " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", + " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2d8e6ce3", + "metadata": {}, + "outputs": [], + "source": [ + "cluster.status()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.19" + }, + "vscode": { + "interpreter": { + "hash": "f9f85f796d01129d0dd105a088854619f454435301f6ffec2fea96ecbd9be4ac" + } + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/poetry.lock b/poetry.lock index 21568298..a56bb3f0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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= ["zstandard"] +[[package]] +name = "sniffio" +version = "1.3.1" +description = "Sniff out which async library your code is running under" +optional = false +python-versions = ">=3.7" +files = [ + {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, + {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, +] + +[[package]] +name = "soupsieve" +version = "2.6" +description = "A modern CSS selector implementation for Beautiful Soup." +optional = false +python-versions = ">=3.8" +files = [ + {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"}, + {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"}, +] + [[package]] name = "stack-data" version = "0.6.3" @@ -2497,6 +3488,45 @@ pure-eval = "*" [package.extras] tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"] +[[package]] +name = "terminado" +version = "0.18.1" +description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." +optional = false +python-versions = ">=3.8" +files = [ + {file = "terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0"}, + {file = "terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e"}, +] + +[package.dependencies] +ptyprocess = {version = "*", markers = "os_name != \"nt\""} +pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""} +tornado = ">=6.1.0" + +[package.extras] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] +test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"] +typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"] + +[[package]] +name = "tinycss2" +version = "1.3.0" +description = "A tiny CSS parser" +optional = false +python-versions = 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{file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a02a08cc7a9314b006f653ce40483b9b3c12cda222d6a46d4ac63bb6c9057698"}, + {file = "tornado-6.4.1-cp38-abi3-win32.whl", hash = "sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d"}, + {file = "tornado-6.4.1-cp38-abi3-win_amd64.whl", hash = "sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7"}, + {file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"}, +] + [[package]] name = "traitlets" version = "5.14.3" @@ -2523,6 +3573,17 @@ files = [ docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"] test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"] +[[package]] +name = "types-python-dateutil" +version = "2.9.0.20240906" +description = "Typing stubs for python-dateutil" +optional = false +python-versions = ">=3.8" +files = [ + {file = "types-python-dateutil-2.9.0.20240906.tar.gz", hash = "sha256:9706c3b68284c25adffc47319ecc7947e5bb86b3773f843c73906fd598bc176e"}, + {file = "types_python_dateutil-2.9.0.20240906-py3-none-any.whl", hash = "sha256:27c8cc2d058ccb14946eebcaaa503088f4f6dbc4fb6093d3d456a49aef2753f6"}, +] + [[package]] name = "typing-extensions" version = "4.12.2" @@ -2545,6 +3606,20 @@ files = [ {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"}, ] +[[package]] +name = "uri-template" +version = "1.3.0" +description = "RFC 6570 URI Template Processor" +optional = false +python-versions = ">=3.7" +files = [ + {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"}, + {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"}, +] + +[package.extras] +dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"] + [[package]] name = "urllib3" version = "2.2.2" @@ -2593,6 +3668,32 @@ files = [ {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, ] +[[package]] +name = "webcolors" +version = "24.8.0" +description = "A library for working with the color formats defined by HTML and CSS." +optional = false +python-versions = ">=3.8" +files = [ + {file = "webcolors-24.8.0-py3-none-any.whl", hash = "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"}, + {file = "webcolors-24.8.0.tar.gz", hash = "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d"}, +] + +[package.extras] +docs = ["furo", "sphinx", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-notfound-page", "sphinxext-opengraph"] +tests = ["coverage[toml]"] + +[[package]] +name = "webencodings" +version = "0.5.1" +description = "Character encoding aliases for legacy web content" +optional = false +python-versions = "*" +files = [ + {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, + {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, +] + [[package]] name = "websocket-client" version = "1.8.0" @@ -2820,4 +3921,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", [metadata] lock-version = "2.0" python-versions = "^3.9" -content-hash = "cbff1a5a7da645b81c7de962eadeb2a8378eb9f783ebed526a3634f1d97e2bf5" +content-hash = "6f7b98a5dfe61a527f7a5398ebccc955ba6e7233d8c77789dbcf55f3c9f8169f" diff --git a/pyproject.toml b/pyproject.toml index 21729ee8..a1f02ccc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,6 +48,7 @@ pytest = "7.4.0" coverage = "7.2.7" pytest-mock = "3.11.1" pytest-timeout = "2.3.1" +jupyterlab = "4.2.5" [tool.pytest.ini_options] filterwarnings = [ diff --git a/ui-tests/.yarnrc b/ui-tests/.yarnrc new file mode 100644 index 00000000..0f81e58d --- /dev/null +++ b/ui-tests/.yarnrc @@ -0,0 +1,4 @@ +disable-self-update-check true +ignore-optional true +network-timeout "300000" +registry "https://registry.npmjs.org/" diff --git a/ui-tests/jupyter_server_config.py b/ui-tests/jupyter_server_config.py new file mode 100644 index 00000000..e7983fe7 --- /dev/null +++ b/ui-tests/jupyter_server_config.py @@ -0,0 +1,6 @@ +from jupyterlab.galata import configure_jupyter_server + +configure_jupyter_server(c) + +# Uncomment to set server log level to debug level +# c.ServerApp.log_level = "DEBUG" diff --git a/ui-tests/package.json b/ui-tests/package.json new file mode 100644 index 00000000..17b79185 --- /dev/null +++ b/ui-tests/package.json @@ -0,0 +1,22 @@ +{ + "name": "@jupyter-widgets/ui-tests", + "private": true, + "version": "0.1.0", + "description": "ipywidgets UI Tests", + "scripts": { + "start": "jupyter lab --config ./jupyter_server_config.py", + "start:detached": "jlpm start&", + "test": "npx playwright test", + "test:debug": "PWDEBUG=1 npx playwright test", + "test:report": "http-server ./playwright-report -a localhost -o", + "test:update": "npx playwright test --update-snapshots", + "deduplicate": "jlpm && yarn-deduplicate -s fewer --fail" + }, + "author": "Project Jupyter", + "license": "BSD-3-Clause", + "devDependencies": { + "@jupyterlab/galata": "^5.0.1", + "@playwright/test": "^1.32.0", + "yarn-deduplicate": "^6.0.1" + } +} diff --git a/ui-tests/playwright.config.js b/ui-tests/playwright.config.js new file mode 100644 index 00000000..88003f8e --- /dev/null +++ b/ui-tests/playwright.config.js @@ -0,0 +1,13 @@ +const baseConfig = require('@jupyterlab/galata/lib/playwright-config'); + +module.exports = { + ...baseConfig, + timeout: 460000, + webServer: { + command: 'yarn start', + url: 'http://localhost:8888/lab', + timeout: 120 * 1000, + reuseExistingServer: !process.env.CI, + }, + retries: 0, +}; diff --git a/ui-tests/tests/widget_notebook_example.test.ts b/ui-tests/tests/widget_notebook_example.test.ts new file mode 100644 index 00000000..11eff319 --- /dev/null +++ b/ui-tests/tests/widget_notebook_example.test.ts @@ -0,0 +1,64 @@ +// Copyright 2024 IBM, Red Hat +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +import { test } from "@jupyterlab/galata"; +import { expect } from "@playwright/test"; +import * as path from "path"; + +test.setTimeout(460000); + +test.describe("Visual Regression", () => { + test.beforeEach(async ({ page, tmpPath }) => { + await page.contents.uploadDirectory( + path.resolve(__dirname, "../../demo-notebooks/guided-demos"), + tmpPath + ); + await page.filebrowser.openDirectory(tmpPath); + }); + + test("Run notebook and capture cell outputs", async ({ + page, + tmpPath, + }) => { + const notebook = "3_widget_example.ipynb"; + await page.notebook.openByPath(`${tmpPath}/${notebook}`); + await page.notebook.activate(notebook); + + const captures: (Buffer | null)[] = []; // Array to store cell screenshots + const cellCount = await page.notebook.getCellCount(); + + // Run all cells and capture their screenshots + await page.notebook.runCellByCell({ + onAfterCellRun: async (cellIndex: number) => { + const cell = await page.notebook.getCellOutput(cellIndex); + if (cell && (await cell.isVisible())) { + captures[cellIndex] = await cell.screenshot(); // Save the screenshot by cell index + } + await page.addStyleTag({ content: '.jp-cell-toolbar { display: none !important; }' }); + }, + }); + + await page.notebook.save(); + + // Ensure that each cell's screenshot is captured + for (let i = 0; i < cellCount; i++) { + const image = `widgets-cell-${i}.png`; + + if (captures[i]) { + expect.soft(captures[i]).toMatchSnapshot(image); // Compare pre-existing capture + continue; + } + } + }); +}); diff --git a/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-0-linux.png b/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-0-linux.png new file mode 100644 index 0000000000000000000000000000000000000000..efb098ef7d444d65a0d2be02ebe4f96f27849ccf GIT binary patch literal 16694 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"^7.5.0" + tslib "^2.5.0" + +yjs@^13.5.40: + version "13.6.19" + resolved "https://registry.npmjs.org/yjs/-/yjs-13.6.19.tgz#66999f41254ab65be8c8e71bd767d124ad600909" + integrity sha512-GNKw4mEUn5yWU2QPHRx8jppxmCm9KzbBhB4qJLUJFiiYD0g/tDVgXQ7aPkyh01YO28kbs2J/BEbWBagjuWyejw== + dependencies: + lib0 "^0.2.86" From 2e5ee98a1a1697d49c1ece874cb018cb55eaeaf7 Mon Sep 17 00:00:00 2001 From: Ignas Baranauskas Date: Fri, 20 Sep 2024 10:31:37 +0100 Subject: [PATCH 103/254] Test to cover the widgets functionality --- .../tests/widget_notebook_example.test.ts | 79 ++++++++++++++++++- 1 file changed, 76 insertions(+), 3 deletions(-) diff --git a/ui-tests/tests/widget_notebook_example.test.ts b/ui-tests/tests/widget_notebook_example.test.ts index 11eff319..798c2eb6 100644 --- a/ui-tests/tests/widget_notebook_example.test.ts +++ b/ui-tests/tests/widget_notebook_example.test.ts @@ -16,8 +16,6 @@ import { test } from "@jupyterlab/galata"; import { expect } from "@playwright/test"; import * as path from "path"; -test.setTimeout(460000); - test.describe("Visual Regression", () => { test.beforeEach(async ({ page, tmpPath }) => { await page.contents.uploadDirectory( @@ -27,7 +25,7 @@ test.describe("Visual Regression", () => { await page.filebrowser.openDirectory(tmpPath); }); - test("Run notebook and capture cell outputs", async ({ + test("Run notebook, capture cell outputs, and test widgets", async ({ page, tmpPath, }) => { @@ -60,5 +58,80 @@ test.describe("Visual Regression", () => { continue; } } + + const widgetCellIndex = 3; + + await waitForWidget(page, widgetCellIndex, 'input[type="checkbox"]'); + await waitForWidget(page, widgetCellIndex, 'button:has-text("Cluster Down")'); + await waitForWidget(page, widgetCellIndex, 'button:has-text("Cluster Up")'); + + await interactWithWidget(page, widgetCellIndex, 'input[type="checkbox"]', async (checkbox) => { + await checkbox.click(); + const isChecked = await checkbox.isChecked(); + expect(isChecked).toBe(true); + }); + + await interactWithWidget(page, widgetCellIndex, 'button:has-text("Cluster Down")', async (button) => { + await button.click(); + const clusterDownMessage = await page.waitForSelector('text=No instances found, nothing to be done.', { timeout: 5000 }); + expect(clusterDownMessage).not.toBeNull(); + }); + + await interactWithWidget(page, widgetCellIndex, 'button:has-text("Cluster Up")', async (button) => { + await button.click(); + + const successMessage = await page.waitForSelector('text=Ray Cluster: \'raytest\' has successfully been created', { timeout: 10000 }); + expect(successMessage).not.toBeNull(); + + const resourcesMessage = await page.waitForSelector('text=Waiting for requested resources to be set up...'); + expect(resourcesMessage).not.toBeNull(); + + const upAndRunningMessage = await page.waitForSelector('text=Requested cluster is up and running!'); + expect(upAndRunningMessage).not.toBeNull(); + + const dashboardReadyMessage = await page.waitForSelector('text=Dashboard is ready!'); + expect(dashboardReadyMessage).not.toBeNull(); + }); + + await runPreviousCell(page, cellCount, '(, True)'); + + await interactWithWidget(page, widgetCellIndex, 'button:has-text("Cluster Down")', async (button) => { + await button.click(); + const clusterDownMessage = await page.waitForSelector('text=Ray Cluster: \'raytest\' has successfully been deleted', { timeout: 5000 }); + expect(clusterDownMessage).not.toBeNull(); + }); + + await runPreviousCell(page, cellCount, '(, False)'); }); }); + +async function waitForWidget(page, cellIndex: number, widgetSelector: string, timeout = 5000) { + const widgetCell = await page.notebook.getCellOutput(cellIndex); + + if (widgetCell) { + await widgetCell.waitForSelector(widgetSelector, { timeout }); + } +} + +async function interactWithWidget(page, cellIndex: number, widgetSelector: string, action: (widget) => Promise) { + const widgetCell = await page.notebook.getCellOutput(cellIndex); + + if (widgetCell) { + const widget = await widgetCell.$(widgetSelector); + if (widget) { + await action(widget); + } + } +} + +async function runPreviousCell(page, cellCount, expectedMessage) { + const runSuccess = await page.notebook.runCell(cellCount - 1); expect(runSuccess).toBe(true); + const lastCellOutput = await page.notebook.getCellOutput(cellCount - 1); + const newOutput = await lastCellOutput.evaluate((output) => output.textContent); + + if (expectedMessage) { + expect(newOutput).toContain(expectedMessage); + } + + return lastCellOutput; +} From 80fabe349429aa90a09a805bde782c3b841bf1a7 Mon Sep 17 00:00:00 2001 From: Fiona Waters Date: Thu, 26 Sep 2024 17:08:57 +0100 Subject: [PATCH 104/254] Update Ray image to new static tag --- src/codeflare_sdk/templates/base-template.yaml | 4 ++-- tests/e2e/support.py | 2 +- tests/test-case-bad.yaml | 4 ++-- tests/test-case-no-kueue-no-aw.yaml | 4 ++-- tests/test-case-no-mcad.yamls | 4 ++-- tests/test-case.yaml | 4 ++-- tests/test-default-appwrapper.yaml | 4 ++-- tests/unit_test_support.py | 2 +- 8 files changed, 14 insertions(+), 14 deletions(-) diff --git a/src/codeflare_sdk/templates/base-template.yaml b/src/codeflare_sdk/templates/base-template.yaml index 494177f9..19e5b191 100644 --- a/src/codeflare_sdk/templates/base-template.yaml +++ b/src/codeflare_sdk/templates/base-template.yaml @@ -69,7 +69,7 @@ spec: containers: # The Ray head pod - name: ray-head - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 imagePullPolicy: Always ports: - containerPort: 6379 @@ -150,7 +150,7 @@ spec: spec: containers: - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name', or '123-abc' - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 # environment variables to set in the container.Optional. # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/ lifecycle: diff --git a/tests/e2e/support.py b/tests/e2e/support.py index 8290b8cd..38325057 100644 --- a/tests/e2e/support.py +++ b/tests/e2e/support.py @@ -8,7 +8,7 @@ def get_ray_image(): - default_ray_image = "quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe" + default_ray_image = "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06" return os.getenv("RAY_IMAGE", default_ray_image) diff --git a/tests/test-case-bad.yaml b/tests/test-case-bad.yaml index dedd2145..a072e9e9 100644 --- a/tests/test-case-bad.yaml +++ b/tests/test-case-bad.yaml @@ -43,7 +43,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 imagePullPolicy: Always lifecycle: preStop: @@ -90,7 +90,7 @@ spec: valueFrom: fieldRef: fieldPath: status.podIP - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 lifecycle: preStop: exec: diff --git a/tests/test-case-no-kueue-no-aw.yaml b/tests/test-case-no-kueue-no-aw.yaml index 23d73606..ea90a275 100644 --- a/tests/test-case-no-kueue-no-aw.yaml +++ b/tests/test-case-no-kueue-no-aw.yaml @@ -31,7 +31,7 @@ spec: template: spec: containers: - - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 imagePullPolicy: Always lifecycle: preStop: @@ -103,7 +103,7 @@ spec: key: value spec: containers: - - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 lifecycle: preStop: exec: diff --git a/tests/test-case-no-mcad.yamls b/tests/test-case-no-mcad.yamls index 12a66dc4..36ce8e26 100644 --- a/tests/test-case-no-mcad.yamls +++ b/tests/test-case-no-mcad.yamls @@ -34,7 +34,7 @@ spec: template: spec: containers: - - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 imagePullPolicy: Always lifecycle: preStop: @@ -106,7 +106,7 @@ spec: key: value spec: containers: - - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 lifecycle: preStop: exec: diff --git a/tests/test-case.yaml b/tests/test-case.yaml index 9c9a9d5a..c03422cf 100644 --- a/tests/test-case.yaml +++ b/tests/test-case.yaml @@ -39,7 +39,7 @@ spec: template: spec: containers: - - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 imagePullPolicy: Always lifecycle: preStop: @@ -111,7 +111,7 @@ spec: key: value spec: containers: - - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 lifecycle: preStop: exec: diff --git a/tests/test-default-appwrapper.yaml b/tests/test-default-appwrapper.yaml index 6bf3acf5..0780a46e 100644 --- a/tests/test-default-appwrapper.yaml +++ b/tests/test-default-appwrapper.yaml @@ -40,7 +40,7 @@ spec: spec: imagePullSecrets: [] containers: - - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 imagePullPolicy: Always lifecycle: preStop: @@ -111,7 +111,7 @@ spec: spec: imagePullSecrets: [] containers: - - image: quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe + - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06 lifecycle: preStop: exec: diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py index 70ea8016..c23c47eb 100644 --- a/tests/unit_test_support.py +++ b/tests/unit_test_support.py @@ -45,7 +45,7 @@ def createClusterWrongType(): appwrapper=True, machine_types=[True, False], image_pull_secrets=["unit-test-pull-secret"], - image="quay.io/modh/ray@sha256:8b9e0efa3ae0e1862d66c02ffa82b80830334a5f8af12deb96d4f2f8babce5fe", + image="quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06", write_to_file=True, labels={1: 1}, ) From c2eaa150a80f5d1437c4ce98da99fcff62d6af9f Mon Sep 17 00:00:00 2001 From: Christian Zaccaria <73656840+ChristianZaccaria@users.noreply.github.com> Date: Fri, 27 Sep 2024 11:19:07 +0100 Subject: [PATCH 105/254] Add UI table with Cluster specs and action buttons (#681) * Add UI table with RayCluster specs and action buttons * Update cpu and mem names from UI table * Merge requests-limits into single column in UI table * Enhance notebook outputs/display on button clicks * Refactor and move UI table to widgets.py file * Add unit tests for UI table functions * Add timeout and interval parameters to _delete_cluster function * Pre-select cluster if exists, and suppress widgets and outputs on creation of Cluster Object, and bug fixes * Add UI table to regression and functionality tests * Update codeflare_sdk.egg-info * Fix to hide toolbar before capturing snapshots for UI notebook tests * Add head comments to functions and add num_workers to data frame * Reformat for pre-commit checks * Revert codeflare_sdk.egg-info name --- .github/workflows/ui_notebooks_test.yaml | 3 +- .../guided-demos/3_widget_example.ipynb | 20 +- src/codeflare_sdk.egg-info/SOURCES.txt | 2 + src/codeflare_sdk/__init__.py | 1 + src/codeflare_sdk/cluster/__init__.py | 4 + src/codeflare_sdk/cluster/cluster.py | 17 +- src/codeflare_sdk/cluster/model.py | 6 +- src/codeflare_sdk/cluster/widgets.py | 405 +++++++++++++++++- src/codeflare_sdk/utils/pretty_print.py | 4 +- tests/unit_test.py | 275 +++++++++++- .../tests/widget_notebook_example.test.ts | 62 ++- .../widgets-cell-4-linux.png | Bin 9895 -> 3461 bytes .../widgets-cell-5-linux.png | Bin 0 -> 9832 bytes 13 files changed, 756 insertions(+), 43 deletions(-) create mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-5-linux.png diff --git a/.github/workflows/ui_notebooks_test.yaml b/.github/workflows/ui_notebooks_test.yaml index 864330b9..5e8d506d 100644 --- a/.github/workflows/ui_notebooks_test.yaml +++ b/.github/workflows/ui_notebooks_test.yaml @@ -86,7 +86,8 @@ jobs: jq -r 'del(.cells[] | select(.source[] | contains("Create authentication object for user permissions")))' 3_widget_example.ipynb > 3_widget_example.ipynb.tmp && mv 3_widget_example.ipynb.tmp 3_widget_example.ipynb jq -r 'del(.cells[] | select(.source[] | contains("auth.logout()")))' 3_widget_example.ipynb > 3_widget_example.ipynb.tmp && mv 3_widget_example.ipynb.tmp 3_widget_example.ipynb # Set explicit namespace as SDK need it (currently) to resolve local queues - sed -i "s/head_memory_limits=2,/head_memory_limits=2, namespace='default',/" 3_widget_example.ipynb + sed -i "s|head_memory_limits=2,|head_memory_limits=2, namespace='default', image='quay.io/modh/ray:2.35.0-py39-cu121',|" 3_widget_example.ipynb + sed -i "s|view_clusters()|view_clusters('default')|" 3_widget_example.ipynb working-directory: demo-notebooks/guided-demos - name: Run UI notebook tests diff --git a/demo-notebooks/guided-demos/3_widget_example.ipynb b/demo-notebooks/guided-demos/3_widget_example.ipynb index 4d3d6ea7..11521ec7 100644 --- a/demo-notebooks/guided-demos/3_widget_example.ipynb +++ b/demo-notebooks/guided-demos/3_widget_example.ipynb @@ -19,7 +19,7 @@ "outputs": [], "source": [ "# Import pieces from codeflare-sdk\n", - "from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication" + "from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication, view_clusters" ] }, { @@ -61,7 +61,7 @@ "# Create and configure our cluster object\n", "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n", "cluster = Cluster(ClusterConfiguration(\n", - " name='raytest', \n", + " name='raytest',\n", " head_cpu_requests='500m',\n", " head_cpu_limits='500m',\n", " head_memory_requests=2,\n", @@ -73,12 +73,22 @@ " worker_cpu_limits=1,\n", " worker_memory_requests=2,\n", " worker_memory_limits=2,\n", - " # image=\"\", # Optional Field \n", - " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources \n", + " # image=\"\", # Optional Field\n", + " write_to_file=False, # When enabled Ray Cluster yaml files are written to /HOME/.codeflare/resources\n", " # local_queue=\"local-queue-name\" # Specify the local queue manually\n", "))" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "3de6403c", + "metadata": {}, + "outputs": [], + "source": [ + "view_clusters()" + ] + }, { "cell_type": "code", "execution_count": null, @@ -106,7 +116,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.19" + "version": "3.9.18" }, "vscode": { "interpreter": { diff --git a/src/codeflare_sdk.egg-info/SOURCES.txt b/src/codeflare_sdk.egg-info/SOURCES.txt index 42541f1d..63614a81 100644 --- a/src/codeflare_sdk.egg-info/SOURCES.txt +++ b/src/codeflare_sdk.egg-info/SOURCES.txt @@ -12,9 +12,11 @@ src/codeflare_sdk/cluster/awload.py src/codeflare_sdk/cluster/cluster.py src/codeflare_sdk/cluster/config.py src/codeflare_sdk/cluster/model.py +src/codeflare_sdk/cluster/widgets.py src/codeflare_sdk/job/__init__.py src/codeflare_sdk/job/ray_jobs.py src/codeflare_sdk/utils/__init__.py +src/codeflare_sdk/utils/demos.py src/codeflare_sdk/utils/generate_cert.py src/codeflare_sdk/utils/generate_yaml.py src/codeflare_sdk/utils/kube_api_helpers.py diff --git a/src/codeflare_sdk/__init__.py b/src/codeflare_sdk/__init__.py index 0390a3d2..29205a36 100644 --- a/src/codeflare_sdk/__init__.py +++ b/src/codeflare_sdk/__init__.py @@ -14,6 +14,7 @@ get_cluster, list_all_queued, list_all_clusters, + view_clusters, ) from .job import RayJobClient diff --git a/src/codeflare_sdk/cluster/__init__.py b/src/codeflare_sdk/cluster/__init__.py index 0b1849e5..6490a224 100644 --- a/src/codeflare_sdk/cluster/__init__.py +++ b/src/codeflare_sdk/cluster/__init__.py @@ -21,4 +21,8 @@ list_all_clusters, ) +from .widgets import ( + view_clusters, +) + from .awload import AWManager diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index 7c652a18..a32d5a4b 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -19,6 +19,7 @@ """ import re +import subprocess from time import sleep from typing import List, Optional, Tuple, Dict @@ -862,16 +863,19 @@ def _map_to_ray_cluster(rc) -> Optional[RayCluster]: name=rc["metadata"]["name"], status=status, # for now we are not using autoscaling so same replicas is fine - workers=rc["spec"]["workerGroupSpecs"][0]["replicas"], + num_workers=rc["spec"]["workerGroupSpecs"][0]["replicas"], worker_mem_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["memory"], worker_mem_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["requests"]["memory"], - worker_cpu=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ - 0 - ]["resources"]["limits"]["cpu"], + worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + "containers" + ][0]["resources"]["requests"]["cpu"], + worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"]["cpu"], worker_extended_resources=worker_extended_resources, namespace=rc["metadata"]["namespace"], head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ @@ -907,10 +911,11 @@ def _copy_to_ray(cluster: Cluster) -> RayCluster: ray = RayCluster( name=cluster.config.name, status=cluster.status(print_to_console=False)[0], - workers=cluster.config.num_workers, + num_workers=cluster.config.num_workers, worker_mem_requests=cluster.config.worker_memory_requests, worker_mem_limits=cluster.config.worker_memory_limits, - worker_cpu=cluster.config.worker_cpu_requests, + worker_cpu_requests=cluster.config.worker_cpu_requests, + worker_cpu_limits=cluster.config.worker_cpu_limits, worker_extended_resources=cluster.config.worker_extended_resource_requests, namespace=cluster.config.namespace, dashboard=cluster.cluster_dashboard_uri(), diff --git a/src/codeflare_sdk/cluster/model.py b/src/codeflare_sdk/cluster/model.py index ab7b30ed..44be5456 100644 --- a/src/codeflare_sdk/cluster/model.py +++ b/src/codeflare_sdk/cluster/model.py @@ -21,6 +21,7 @@ from dataclasses import dataclass, field from enum import Enum import typing +from typing import Union class RayClusterStatus(Enum): @@ -77,10 +78,11 @@ class RayCluster: head_cpu_limits: int head_mem_requests: str head_mem_limits: str - workers: int + num_workers: int worker_mem_requests: str worker_mem_limits: str - worker_cpu: int + worker_cpu_requests: Union[int, str] + worker_cpu_limits: Union[int, str] namespace: str dashboard: str worker_extended_resources: typing.Dict[str, int] = field(default_factory=dict) diff --git a/src/codeflare_sdk/cluster/widgets.py b/src/codeflare_sdk/cluster/widgets.py index 351640e0..53afa28b 100644 --- a/src/codeflare_sdk/cluster/widgets.py +++ b/src/codeflare_sdk/cluster/widgets.py @@ -15,10 +15,21 @@ """ The widgets sub-module contains the ui widgets created using the ipywidgets package. """ -import ipywidgets as widgets -from IPython.display import display +import contextlib +import io import os +import warnings +import time import codeflare_sdk +from kubernetes import client +from kubernetes.client.rest import ApiException +import ipywidgets as widgets +from IPython.display import display, HTML, Javascript +import pandas as pd +from .config import ClusterConfiguration +from .model import RayClusterStatus +from ..utils.kube_api_helpers import _kube_api_error_handling +from .auth import config_check, api_config_handler def cluster_up_down_buttons(cluster: "codeflare_sdk.cluster.Cluster") -> widgets.Button: @@ -89,3 +100,393 @@ def is_notebook() -> bool: return True else: return False + + +def view_clusters(namespace: str = None): + """ + view_clusters function will display existing clusters with their specs, and handle user interactions. + """ + if not is_notebook(): + warnings.warn( + "view_clusters can only be used in a Jupyter Notebook environment." + ) + return # Exit function if not in Jupyter Notebook + + from .cluster import get_current_namespace + + if not namespace: + namespace = get_current_namespace() + + user_output = widgets.Output() + raycluster_data_output = widgets.Output() + url_output = widgets.Output() + + ray_clusters_df = _fetch_cluster_data(namespace) + if ray_clusters_df.empty: + print(f"No clusters found in the {namespace} namespace.") + return + + classification_widget = widgets.ToggleButtons( + options=ray_clusters_df["Name"].tolist(), + value=ray_clusters_df["Name"].tolist()[0], + description="Select an existing cluster:", + ) + # Setting the initial value to trigger the event handler to display the cluster details. + initial_value = classification_widget.value + _on_cluster_click( + {"new": initial_value}, raycluster_data_output, namespace, classification_widget + ) + classification_widget.observe( + lambda selection_change: _on_cluster_click( + selection_change, raycluster_data_output, namespace, classification_widget + ), + names="value", + ) + + # UI table buttons + delete_button = widgets.Button( + description="Delete Cluster", + icon="trash", + tooltip="Delete the selected cluster", + ) + delete_button.on_click( + lambda b: _on_delete_button_click( + b, + classification_widget, + ray_clusters_df, + raycluster_data_output, + user_output, + delete_button, + list_jobs_button, + ray_dashboard_button, + ) + ) + + list_jobs_button = widgets.Button( + description="View Jobs", icon="suitcase", tooltip="Open the Ray Job Dashboard" + ) + list_jobs_button.on_click( + lambda b: _on_list_jobs_button_click( + b, classification_widget, ray_clusters_df, user_output, url_output + ) + ) + + ray_dashboard_button = widgets.Button( + description="Open Ray Dashboard", + icon="dashboard", + tooltip="Open the Ray Dashboard in a new tab", + layout=widgets.Layout(width="auto"), + ) + ray_dashboard_button.on_click( + lambda b: _on_ray_dashboard_button_click( + b, classification_widget, ray_clusters_df, user_output, url_output + ) + ) + + display(widgets.VBox([classification_widget, raycluster_data_output])) + display( + widgets.HBox([delete_button, list_jobs_button, ray_dashboard_button]), + url_output, + user_output, + ) + + +def _on_cluster_click( + selection_change, + raycluster_data_output: widgets.Output, + namespace: str, + classification_widget: widgets.ToggleButtons, +): + """ + _on_cluster_click handles the event when a cluster is selected from the toggle buttons, updating the output with cluster details. + """ + new_value = selection_change["new"] + raycluster_data_output.clear_output() + ray_clusters_df = _fetch_cluster_data(namespace) + classification_widget.options = ray_clusters_df["Name"].tolist() + with raycluster_data_output: + display( + HTML( + ray_clusters_df[ray_clusters_df["Name"] == new_value][ + [ + "Name", + "Namespace", + "Num Workers", + "Head GPUs", + "Head CPU Req~Lim", + "Head Memory Req~Lim", + "Worker GPUs", + "Worker CPU Req~Lim", + "Worker Memory Req~Lim", + "status", + ] + ].to_html(escape=False, index=False, border=2) + ) + ) + + +def _on_delete_button_click( + b, + classification_widget: widgets.ToggleButtons, + ray_clusters_df: pd.DataFrame, + raycluster_data_output: widgets.Output, + user_output: widgets.Output, + delete_button: widgets.Button, + list_jobs_button: widgets.Button, + ray_dashboard_button: widgets.Button, +): + """ + _on_delete_button_click handles the event when the Delete Button is clicked, deleting the selected cluster. + """ + cluster_name = classification_widget.value + namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][ + "Namespace" + ].values[0] + + _delete_cluster(cluster_name, namespace) + + with user_output: + user_output.clear_output() + print( + f"Cluster {cluster_name} in the {namespace} namespace was deleted successfully." + ) + + # Refresh the dataframe + new_df = _fetch_cluster_data(namespace) + if new_df.empty: + classification_widget.close() + delete_button.close() + list_jobs_button.close() + ray_dashboard_button.close() + with raycluster_data_output: + raycluster_data_output.clear_output() + print(f"No clusters found in the {namespace} namespace.") + else: + classification_widget.options = new_df["Name"].tolist() + + +def _on_ray_dashboard_button_click( + b, + classification_widget: widgets.ToggleButtons, + ray_clusters_df: pd.DataFrame, + user_output: widgets.Output, + url_output: widgets.Output, +): + """ + _on_ray_dashboard_button_click handles the event when the Open Ray Dashboard button is clicked, opening the Ray Dashboard in a new tab + """ + from codeflare_sdk.cluster import Cluster + + cluster_name = classification_widget.value + namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][ + "Namespace" + ].values[0] + + # Suppress from Cluster Object initialisation widgets and outputs + with widgets.Output(), contextlib.redirect_stdout( + io.StringIO() + ), contextlib.redirect_stderr(io.StringIO()): + cluster = Cluster(ClusterConfiguration(cluster_name, namespace)) + dashboard_url = cluster.cluster_dashboard_uri() + + with user_output: + user_output.clear_output() + print(f"Opening Ray Dashboard for {cluster_name} cluster:\n{dashboard_url}") + with url_output: + display(Javascript(f'window.open("{dashboard_url}", "_blank");')) + + +def _on_list_jobs_button_click( + b, + classification_widget: widgets.ToggleButtons, + ray_clusters_df: pd.DataFrame, + user_output: widgets.Output, + url_output: widgets.Output, +): + """ + _on_list_jobs_button_click handles the event when the View Jobs button is clicked, opening the Ray Jobs Dashboard in a new tab + """ + from codeflare_sdk.cluster import Cluster + + cluster_name = classification_widget.value + namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][ + "Namespace" + ].values[0] + + # Suppress from Cluster Object initialisation widgets and outputs + with widgets.Output(), contextlib.redirect_stdout( + io.StringIO() + ), contextlib.redirect_stderr(io.StringIO()): + cluster = Cluster(ClusterConfiguration(cluster_name, namespace)) + dashboard_url = cluster.cluster_dashboard_uri() + + with user_output: + user_output.clear_output() + print( + f"Opening Ray Jobs Dashboard for {cluster_name} cluster:\n{dashboard_url}/#/jobs" + ) + with url_output: + display(Javascript(f'window.open("{dashboard_url}/#/jobs", "_blank");')) + + +def _delete_cluster( + cluster_name: str, + namespace: str, + timeout: int = 5, + interval: int = 1, +): + """ + _delete_cluster function deletes the cluster with the given name and namespace. + It optionally waits for the cluster to be deleted. + """ + from .cluster import _check_aw_exists + + try: + config_check() + api_instance = client.CustomObjectsApi(api_config_handler()) + + if _check_aw_exists(cluster_name, namespace): + api_instance.delete_namespaced_custom_object( + group="workload.codeflare.dev", + version="v1beta2", + namespace=namespace, + plural="appwrappers", + name=cluster_name, + ) + group = "workload.codeflare.dev" + version = "v1beta2" + plural = "appwrappers" + else: + api_instance.delete_namespaced_custom_object( + group="ray.io", + version="v1", + namespace=namespace, + plural="rayclusters", + name=cluster_name, + ) + group = "ray.io" + version = "v1" + plural = "rayclusters" + + # Wait for the resource to be deleted + while timeout > 0: + try: + api_instance.get_namespaced_custom_object( + group=group, + version=version, + namespace=namespace, + plural=plural, + name=cluster_name, + ) + # Retry if resource still exists + time.sleep(interval) + timeout -= interval + if timeout <= 0: + raise TimeoutError( + f"Timeout waiting for {cluster_name} to be deleted." + ) + except ApiException as e: + # Resource is deleted + if e.status == 404: + break + except Exception as e: # pragma: no cover + return _kube_api_error_handling(e) + + +def _fetch_cluster_data(namespace): + """ + _fetch_cluster_data function fetches all clusters and their spec in a given namespace and returns a DataFrame. + """ + from .cluster import list_all_clusters + + rayclusters = list_all_clusters(namespace, False) + if not rayclusters: + return pd.DataFrame() + names = [item.name for item in rayclusters] + namespaces = [item.namespace for item in rayclusters] + num_workers = [item.num_workers for item in rayclusters] + head_extended_resources = [ + f"{list(item.head_extended_resources.keys())[0]}: {list(item.head_extended_resources.values())[0]}" + if item.head_extended_resources + else "0" + for item in rayclusters + ] + worker_extended_resources = [ + f"{list(item.worker_extended_resources.keys())[0]}: {list(item.worker_extended_resources.values())[0]}" + if item.worker_extended_resources + else "0" + for item in rayclusters + ] + head_cpu_requests = [ + item.head_cpu_requests if item.head_cpu_requests else 0 for item in rayclusters + ] + head_cpu_limits = [ + item.head_cpu_limits if item.head_cpu_limits else 0 for item in rayclusters + ] + head_cpu_rl = [ + f"{requests}~{limits}" + for requests, limits in zip(head_cpu_requests, head_cpu_limits) + ] + head_mem_requests = [ + item.head_mem_requests if item.head_mem_requests else 0 for item in rayclusters + ] + head_mem_limits = [ + item.head_mem_limits if item.head_mem_limits else 0 for item in rayclusters + ] + head_mem_rl = [ + f"{requests}~{limits}" + for requests, limits in zip(head_mem_requests, head_mem_limits) + ] + worker_cpu_requests = [ + item.worker_cpu_requests if item.worker_cpu_requests else 0 + for item in rayclusters + ] + worker_cpu_limits = [ + item.worker_cpu_limits if item.worker_cpu_limits else 0 for item in rayclusters + ] + worker_cpu_rl = [ + f"{requests}~{limits}" + for requests, limits in zip(worker_cpu_requests, worker_cpu_limits) + ] + worker_mem_requests = [ + item.worker_mem_requests if item.worker_mem_requests else 0 + for item in rayclusters + ] + worker_mem_limits = [ + item.worker_mem_limits if item.worker_mem_limits else 0 for item in rayclusters + ] + worker_mem_rl = [ + f"{requests}~{limits}" + for requests, limits in zip(worker_mem_requests, worker_mem_limits) + ] + status = [item.status.name for item in rayclusters] + + status = [_format_status(item.status) for item in rayclusters] + + data = { + "Name": names, + "Namespace": namespaces, + "Num Workers": num_workers, + "Head GPUs": head_extended_resources, + "Worker GPUs": worker_extended_resources, + "Head CPU Req~Lim": head_cpu_rl, + "Head Memory Req~Lim": head_mem_rl, + "Worker CPU Req~Lim": worker_cpu_rl, + "Worker Memory Req~Lim": worker_mem_rl, + "status": status, + } + return pd.DataFrame(data) + + +def _format_status(status): + """ + _format_status function formats the status enum. + """ + status_map = { + RayClusterStatus.READY: 'Ready ✓', + RayClusterStatus.SUSPENDED: 'Suspended ❄️', + RayClusterStatus.FAILED: 'Failed ✗', + RayClusterStatus.UNHEALTHY: 'Unhealthy', + RayClusterStatus.UNKNOWN: 'Unknown', + } + return status_map.get(status, status) diff --git a/src/codeflare_sdk/utils/pretty_print.py b/src/codeflare_sdk/utils/pretty_print.py index 4842c9cd..30331319 100644 --- a/src/codeflare_sdk/utils/pretty_print.py +++ b/src/codeflare_sdk/utils/pretty_print.py @@ -135,9 +135,9 @@ def print_clusters(clusters: List[RayCluster]): ) name = cluster.name dashboard = cluster.dashboard - workers = str(cluster.workers) + workers = str(cluster.num_workers) memory = f"{cluster.worker_mem_requests}~{cluster.worker_mem_limits}" - cpu = str(cluster.worker_cpu) + cpu = f"{cluster.worker_cpu_requests}~{cluster.worker_cpu_limits}" gpu = str(cluster.worker_extended_resources.get("nvidia.com/gpu", 0)) #'table0' to display the cluster name, status, url, and dashboard link diff --git a/tests/unit_test.py b/tests/unit_test.py index 388723c5..ae2af659 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -76,7 +76,9 @@ gen_names, is_openshift_cluster, ) -from codeflare_sdk.cluster.widgets import cluster_up_down_buttons + +import codeflare_sdk.cluster.widgets as cf_widgets +import pandas as pd import openshift from openshift.selector import Selector @@ -88,9 +90,6 @@ from ray.job_submission import JobSubmissionClient from codeflare_sdk.job.ray_jobs import RayJobClient -import ipywidgets as widgets -from IPython.display import display - # For mocking openshift client results fake_res = openshift.Result("fake") @@ -941,10 +940,11 @@ def test_ray_details(mocker, capsys): ray1 = RayCluster( name="raytest1", status=RayClusterStatus.READY, - workers=1, + num_workers=1, worker_mem_requests="2G", worker_mem_limits="2G", - worker_cpu=1, + worker_cpu_requests=1, + worker_cpu_limits=1, namespace="ns", dashboard="fake-uri", head_cpu_requests=2, @@ -979,10 +979,11 @@ def test_ray_details(mocker, capsys): assert details == ray2 assert ray2.name == "raytest2" assert ray1.namespace == ray2.namespace - assert ray1.workers == ray2.workers + assert ray1.num_workers == ray2.num_workers assert ray1.worker_mem_requests == ray2.worker_mem_requests assert ray1.worker_mem_limits == ray2.worker_mem_limits - assert ray1.worker_cpu == ray2.worker_cpu + assert ray1.worker_cpu_requests == ray2.worker_cpu_requests + assert ray1.worker_cpu_limits == ray2.worker_cpu_limits assert ray1.worker_extended_resources == ray2.worker_extended_resources try: print_clusters([ray1, ray2]) @@ -1006,7 +1007,7 @@ def test_ray_details(mocker, capsys): " │ ╭── Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n" " │ │ # Workers │ │ Memory CPU GPU │ │ \n" " │ │ │ │ │ │ \n" - " │ │ 1 │ │ 2G~2G 1 0 │ │ \n" + " │ │ 1 │ │ 2G~2G 1~1 0 │ │ \n" " │ │ │ │ │ │ \n" " │ ╰─────────────╯ ╰──────────────────────────────────────╯ │ \n" " ╰───────────────────────────────────────────────────────────────╯ \n" @@ -1024,7 +1025,7 @@ def test_ray_details(mocker, capsys): " │ ╭── Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n" " │ │ # Workers │ │ Memory CPU GPU │ │ \n" " │ │ │ │ │ │ \n" - " │ │ 1 │ │ 2G~2G 1 0 │ │ \n" + " │ │ 1 │ │ 2G~2G 1~1 0 │ │ \n" " │ │ │ │ │ │ \n" " │ ╰─────────────╯ ╰──────────────────────────────────────╯ │ \n" " ╰───────────────────────────────────────────────────────────────╯ \n" @@ -1040,7 +1041,7 @@ def test_ray_details(mocker, capsys): "│ ╭── Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │\n" "│ │ # Workers │ │ Memory CPU GPU │ │\n" "│ │ │ │ │ │\n" - "│ │ 1 │ │ 2G~2G 1 0 │ │\n" + "│ │ 1 │ │ 2G~2G 1~1 0 │ │\n" "│ │ │ │ │ │\n" "│ ╰─────────────╯ ╰──────────────────────────────────────╯ │\n" "╰───────────────────────────────────────────────────────────────╯\n" @@ -2245,7 +2246,7 @@ def test_list_clusters(mocker, capsys): " │ ╭── Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │ \n" " │ │ # Workers │ │ Memory CPU GPU │ │ \n" " │ │ │ │ │ │ \n" - " │ │ 1 │ │ 2G~2G 1 0 │ │ \n" + " │ │ 1 │ │ 2G~2G 1~1 0 │ │ \n" " │ │ │ │ │ │ \n" " │ ╰─────────────╯ ╰──────────────────────────────────────╯ │ \n" " ╰───────────────────────────────────────────────────────────────╯ \n" @@ -2261,7 +2262,7 @@ def test_list_clusters(mocker, capsys): "│ ╭── Workers ──╮ ╭───────── Worker specs(each) ─────────╮ │\n" "│ │ # Workers │ │ Memory CPU GPU │ │\n" "│ │ │ │ │ │\n" - "│ │ 1 │ │ 2G~2G 1 0 │ │\n" + "│ │ 1 │ │ 2G~2G 1~1 0 │ │\n" "│ │ │ │ │ │\n" "│ ╰─────────────╯ ╰──────────────────────────────────────╯ │\n" "╰───────────────────────────────────────────────────────────────╯\n" @@ -2357,10 +2358,11 @@ def test_cluster_status(mocker): fake_ray = RayCluster( name="test", status=RayClusterStatus.UNKNOWN, - workers=1, + num_workers=1, worker_mem_requests=2, worker_mem_limits=2, - worker_cpu=1, + worker_cpu_requests=1, + worker_cpu_limits=1, namespace="ns", dashboard="fake-uri", head_cpu_requests=2, @@ -2922,7 +2924,7 @@ def test_cluster_up_down_buttons(mocker): MockButton.side_effect = [mock_up_button, mock_down_button] # Call the method under test - cluster_up_down_buttons(cluster) + cf_widgets.cluster_up_down_buttons(cluster) # Simulate checkbox being checked or unchecked mock_wait_ready_check_box.value = True # Simulate checkbox being checked @@ -2955,6 +2957,247 @@ def test_is_notebook_true(): assert is_notebook() is True +def test_view_clusters(mocker, capsys): + from kubernetes.client.rest import ApiException + + mocker.patch("codeflare_sdk.cluster.widgets.is_notebook", return_value=False) + with pytest.warns( + UserWarning, + match="view_clusters can only be used in a Jupyter Notebook environment.", + ): + result = cf_widgets.view_clusters(namespace="default") + # Assert the function returns None when not in a notebook environment + assert result is None + + mocker.patch("codeflare_sdk.cluster.widgets.is_notebook", return_value=True) + + # Mock Kubernetes API responses + mocker.patch("kubernetes.client.ApisApi.get_api_versions") + mocker.patch( + "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", + return_value={"items": []}, + ) + mocker.patch("codeflare_sdk.cluster.cluster._check_aw_exists", return_value=False) + + # Return empty dataframe when no clusters are found + mocker.patch("codeflare_sdk.cluster.cluster.list_all_clusters", return_value=[]) + mocker.patch( + "codeflare_sdk.cluster.cluster.get_current_namespace", + return_value="default", + ) + df = cf_widgets._fetch_cluster_data(namespace="default") + assert df.empty + + cf_widgets.view_clusters() + captured = capsys.readouterr() + assert f"No clusters found in the default namespace." in captured.out + + # Assert the function returns None + assert result is None + + test_df = pd.DataFrame( + { + "Name": ["test-cluster"], + "Namespace": ["default"], + "Num Workers": ["1"], + "Head GPUs": ["0"], + "Worker GPUs": ["0"], + "Head CPU Req~Lim": ["1~1"], + "Head Memory Req~Lim": ["1Gi~1Gi"], + "Worker CPU Req~Lim": ["1~1"], + "Worker Memory Req~Lim": ["1Gi~1Gi"], + "status": ['Ready ✓'], + } + ) + + # Mock the _fetch_cluster_data function to return a test DataFrame + mocker.patch( + "codeflare_sdk.cluster.widgets._fetch_cluster_data", return_value=test_df + ) + + # Mock the Cluster class and related methods + mocker.patch("codeflare_sdk.cluster.Cluster") + mocker.patch("codeflare_sdk.cluster.ClusterConfiguration") + + with patch("ipywidgets.ToggleButtons") as MockToggleButtons, patch( + "ipywidgets.Button" + ) as MockButton, patch("ipywidgets.Output") as MockOutput, patch( + "ipywidgets.HBox" + ), patch( + "ipywidgets.VBox" + ), patch( + "IPython.display.display" + ) as mock_display, patch( + "IPython.display.HTML" + ), patch( + "codeflare_sdk.cluster.widgets.Javascript" + ) as mock_javascript: + # Create mock widget instances + mock_toggle = MagicMock() + mock_delete_button = MagicMock() + mock_list_jobs_button = MagicMock() + mock_ray_dashboard_button = MagicMock() + mock_output = MagicMock() + + # Set the return values for the mocked widgets + MockToggleButtons.return_value = mock_toggle + MockButton.side_effect = [ + mock_delete_button, + mock_list_jobs_button, + mock_ray_dashboard_button, + ] + MockOutput.return_value = mock_output + + # Call the function under test + cf_widgets.view_clusters() + + # Simulate selecting a cluster + mock_toggle.value = "test-cluster" + selection_change = {"new": "test-cluster"} + cf_widgets._on_cluster_click( + selection_change, mock_output, "default", mock_toggle + ) + + # Assert that the toggle options are set correctly + mock_toggle.observe.assert_called() + + # Simulate clicking the list jobs button + cf_widgets._on_list_jobs_button_click( + None, mock_toggle, test_df, mock_output, mock_output + ) + mock_javascript.assert_called_once() + + # Simulate clicking the Ray dashboard button + cf_widgets._on_ray_dashboard_button_click( + None, mock_toggle, test_df, mock_output, mock_output + ) + mock_javascript.call_count = 2 + + mocker.patch( + "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object", + ) + mock_response = mocker.MagicMock() + mock_response.status = 404 + mock_exception = ApiException(http_resp=mock_response) + mocker.patch( + "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object", + side_effect=mock_exception, + ) + + # Simulate clicking the delete button + cf_widgets._on_delete_button_click( + None, + mock_toggle, + test_df, + mock_output, + mock_output, + mock_delete_button, + mock_list_jobs_button, + mock_ray_dashboard_button, + ) + MockButton.call_count = 3 + + +def test_fetch_cluster_data(mocker): + # Return empty dataframe when no clusters are found + mocker.patch("codeflare_sdk.cluster.cluster.list_all_clusters", return_value=[]) + df = cf_widgets._fetch_cluster_data(namespace="default") + assert df.empty + + # Create mock RayCluster objects + mock_raycluster1 = MagicMock(spec=RayCluster) + mock_raycluster1.name = "test-cluster-1" + mock_raycluster1.namespace = "default" + mock_raycluster1.num_workers = 1 + mock_raycluster1.head_extended_resources = {"nvidia.com/gpu": "1"} + mock_raycluster1.worker_extended_resources = {"nvidia.com/gpu": "2"} + mock_raycluster1.head_cpu_requests = "500m" + mock_raycluster1.head_cpu_limits = "1000m" + mock_raycluster1.head_mem_requests = "1Gi" + mock_raycluster1.head_mem_limits = "2Gi" + mock_raycluster1.worker_cpu_requests = "1000m" + mock_raycluster1.worker_cpu_limits = "2000m" + mock_raycluster1.worker_mem_requests = "2Gi" + mock_raycluster1.worker_mem_limits = "4Gi" + mock_raycluster1.status = MagicMock() + mock_raycluster1.status.name = "READY" + mock_raycluster1.status = RayClusterStatus.READY + + mock_raycluster2 = MagicMock(spec=RayCluster) + mock_raycluster2.name = "test-cluster-2" + mock_raycluster2.namespace = "default" + mock_raycluster2.num_workers = 2 + mock_raycluster2.head_extended_resources = {} + mock_raycluster2.worker_extended_resources = {} + mock_raycluster2.head_cpu_requests = None + mock_raycluster2.head_cpu_limits = None + mock_raycluster2.head_mem_requests = None + mock_raycluster2.head_mem_limits = None + mock_raycluster2.worker_cpu_requests = None + mock_raycluster2.worker_cpu_limits = None + mock_raycluster2.worker_mem_requests = None + mock_raycluster2.worker_mem_limits = None + mock_raycluster2.status = MagicMock() + mock_raycluster2.status.name = "SUSPENDED" + mock_raycluster2.status = RayClusterStatus.SUSPENDED + + with patch( + "codeflare_sdk.cluster.cluster.list_all_clusters", + return_value=[mock_raycluster1, mock_raycluster2], + ): + # Call the function under test + df = cf_widgets._fetch_cluster_data(namespace="default") + + # Expected DataFrame + expected_data = { + "Name": ["test-cluster-1", "test-cluster-2"], + "Namespace": ["default", "default"], + "Num Workers": [1, 2], + "Head GPUs": ["nvidia.com/gpu: 1", "0"], + "Worker GPUs": ["nvidia.com/gpu: 2", "0"], + "Head CPU Req~Lim": ["500m~1000m", "0~0"], + "Head Memory Req~Lim": ["1Gi~2Gi", "0~0"], + "Worker CPU Req~Lim": ["1000m~2000m", "0~0"], + "Worker Memory Req~Lim": ["2Gi~4Gi", "0~0"], + "status": [ + 'Ready ✓', + 'Suspended ❄️', + ], + } + + expected_df = pd.DataFrame(expected_data) + + # Assert that the DataFrame matches expected + pd.testing.assert_frame_equal( + df.reset_index(drop=True), expected_df.reset_index(drop=True) + ) + + +def test_format_status(): + # Test each possible status + test_cases = [ + (RayClusterStatus.READY, 'Ready ✓'), + ( + RayClusterStatus.SUSPENDED, + 'Suspended ❄️', + ), + (RayClusterStatus.FAILED, 'Failed ✗'), + (RayClusterStatus.UNHEALTHY, 'Unhealthy'), + (RayClusterStatus.UNKNOWN, 'Unknown'), + ] + + for status, expected_output in test_cases: + assert ( + cf_widgets._format_status(status) == expected_output + ), f"Failed for status: {status}" + + # Test an unrecognized status + unrecognized_status = "NotAStatus" + assert ( + cf_widgets._format_status(unrecognized_status) == "NotAStatus" + ), "Failed for unrecognized status" + + # Make sure to always keep this function last def test_cleanup(): os.remove(f"{aw_dir}unit-test-no-kueue.yaml") diff --git a/ui-tests/tests/widget_notebook_example.test.ts b/ui-tests/tests/widget_notebook_example.test.ts index 798c2eb6..823a73f4 100644 --- a/ui-tests/tests/widget_notebook_example.test.ts +++ b/ui-tests/tests/widget_notebook_example.test.ts @@ -30,11 +30,16 @@ test.describe("Visual Regression", () => { tmpPath, }) => { const notebook = "3_widget_example.ipynb"; + const namespace = 'default'; await page.notebook.openByPath(`${tmpPath}/${notebook}`); await page.notebook.activate(notebook); + // Hide the cell toolbar before capturing the screenshots + await page.addStyleTag({ content: '.jp-cell-toolbar { display: none !important; }' }); + const captures: (Buffer | null)[] = []; // Array to store cell screenshots const cellCount = await page.notebook.getCellCount(); + console.log(`Cell count: ${cellCount}`); // Run all cells and capture their screenshots await page.notebook.runCellByCell({ @@ -43,7 +48,6 @@ test.describe("Visual Regression", () => { if (cell && (await cell.isVisible())) { captures[cellIndex] = await cell.screenshot(); // Save the screenshot by cell index } - await page.addStyleTag({ content: '.jp-cell-toolbar { display: none !important; }' }); }, }); @@ -59,25 +63,27 @@ test.describe("Visual Regression", () => { } } - const widgetCellIndex = 3; + // At this point, all cells have been ran, and their screenshots have been captured. + // We now interact with the widgets in the notebook. + const upDownWidgetCellIndex = 3; // 4 on OpenShift - await waitForWidget(page, widgetCellIndex, 'input[type="checkbox"]'); - await waitForWidget(page, widgetCellIndex, 'button:has-text("Cluster Down")'); - await waitForWidget(page, widgetCellIndex, 'button:has-text("Cluster Up")'); + await waitForWidget(page, upDownWidgetCellIndex, 'input[type="checkbox"]'); + await waitForWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Down")'); + await waitForWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Up")'); - await interactWithWidget(page, widgetCellIndex, 'input[type="checkbox"]', async (checkbox) => { + await interactWithWidget(page, upDownWidgetCellIndex, 'input[type="checkbox"]', async (checkbox) => { await checkbox.click(); const isChecked = await checkbox.isChecked(); expect(isChecked).toBe(true); }); - await interactWithWidget(page, widgetCellIndex, 'button:has-text("Cluster Down")', async (button) => { + await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Down")', async (button) => { await button.click(); const clusterDownMessage = await page.waitForSelector('text=No instances found, nothing to be done.', { timeout: 5000 }); expect(clusterDownMessage).not.toBeNull(); }); - await interactWithWidget(page, widgetCellIndex, 'button:has-text("Cluster Up")', async (button) => { + await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Up")', async (button) => { await button.click(); const successMessage = await page.waitForSelector('text=Ray Cluster: \'raytest\' has successfully been created', { timeout: 10000 }); @@ -95,13 +101,51 @@ test.describe("Visual Regression", () => { await runPreviousCell(page, cellCount, '(, True)'); - await interactWithWidget(page, widgetCellIndex, 'button:has-text("Cluster Down")', async (button) => { + await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Down")', async (button) => { await button.click(); const clusterDownMessage = await page.waitForSelector('text=Ray Cluster: \'raytest\' has successfully been deleted', { timeout: 5000 }); expect(clusterDownMessage).not.toBeNull(); }); await runPreviousCell(page, cellCount, '(, False)'); + + // view_clusters table with buttons + await interactWithWidget(page, upDownWidgetCellIndex, 'input[type="checkbox"]', async (checkbox) => { + await checkbox.click(); + const isChecked = await checkbox.isChecked(); + expect(isChecked).toBe(false); + }); + + await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Up")', async (button) => { + await button.click(); + const successMessage = await page.waitForSelector('text=Ray Cluster: \'raytest\' has successfully been created', { timeout: 10000 }); + expect(successMessage).not.toBeNull(); + }); + + const viewClustersCellIndex = 4; // 5 on OpenShift + await page.notebook.runCell(cellCount - 2, true); + await interactWithWidget(page, viewClustersCellIndex, 'button:has-text("Open Ray Dashboard")', async (button) => { + await button.click(); + const successMessage = await page.waitForSelector('text=Opening Ray Dashboard for raytest cluster', { timeout: 5000 }); + expect(successMessage).not.toBeNull(); + }); + + await interactWithWidget(page, viewClustersCellIndex, 'button:has-text("View Jobs")', async (button) => { + await button.click(); + const successMessage = await page.waitForSelector('text=Opening Ray Jobs Dashboard for raytest cluster', { timeout: 5000 }); + expect(successMessage).not.toBeNull(); + }); + + await interactWithWidget(page, viewClustersCellIndex, 'button:has-text("Delete Cluster")', async (button) => { + await button.click(); + + const noClustersMessage = await page.waitForSelector(`text=No clusters found in the ${namespace} namespace.`, { timeout: 5000 }); + expect(noClustersMessage).not.toBeNull(); + const successMessage = await page.waitForSelector(`text=Cluster raytest in the ${namespace} namespace was deleted successfully.`, { timeout: 5000 }); + expect(successMessage).not.toBeNull(); + }); + + await runPreviousCell(page, cellCount, '(, False)'); }); }); diff --git a/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-4-linux.png b/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-4-linux.png index 9d881da2855f221ac585377caeb0773a740a7df8..691e7124f118370dd40eb36b4c0e423830a99a33 100644 GIT binary patch literal 3461 zcmYjUc{tQv8@5bBVoYP~8eXJKLWqg#D6GcYhE zfH4m%6Zj2Q)YkzIMlWMsErzllAsU#ZuCJ|W;+wUc>5RFhE7*>PF`acRLSj(aT6Vhm zmPvZ7C&jfGoWx4S(vVD6pOOqHwBvjQ@jbU?tKhFK;F$CpOi3u_PU&PJ$LDTSSyJBl 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zDJT_~52P@1a75sZTwh;fU|@i7IEo@C0wV&#HQapIh)m4$1ULt%paAT+?xPgWH_$>P z|9QsQnTDn&#Qk7j-XqXH_Sdhi5F+MC8i-<+^1sDB9|JESpdXsLp}i-&qV3_z<6&PN zFT73rPeM+9GFa7&d;a2f7om>H(`?HT=acWjNQV8~FA~TWC#Pdz?8>8ARy6-CN>O)i zkQf1Z?)vmTC?-1EVW|^y!p{Z+?d+%qygp?J)2??|TpLIQ(>QH@_+SC@^nbrp3!(adJ7mfV?zkL02j}g{I>_I@bUI literal 0 HcmV?d00001 From e9786a22c5cf695f10aba1a18a3ac4f15c85d4cb Mon Sep 17 00:00:00 2001 From: codeflare-machine-account <138894154+codeflare-machine-account@users.noreply.github.com> Date: Fri, 27 Sep 2024 11:46:55 +0100 Subject: [PATCH 106/254] Changes in docs for release: v0.21.0 (#687) Co-authored-by: codeflare-machine-account --- .../cluster/cluster.html | 221 +++-- .../cluster/config.html | 94 ++- .../detailed-documentation/cluster/index.html | 9 + .../detailed-documentation/cluster/model.html | 74 +- .../cluster/widgets.html | 758 ++++++++++++++++++ docs/detailed-documentation/index.html | 1 + docs/detailed-documentation/job/ray_jobs.html | 13 +- .../utils/generate_yaml.html | 50 +- .../utils/pretty_print.html | 12 +- 9 files changed, 1071 insertions(+), 161 deletions(-) create mode 100644 docs/detailed-documentation/cluster/widgets.html diff --git a/docs/detailed-documentation/cluster/cluster.html b/docs/detailed-documentation/cluster/cluster.html index 5c8688eb..5276ee94 100644 --- a/docs/detailed-documentation/cluster/cluster.html +++ b/docs/detailed-documentation/cluster/cluster.html @@ -51,6 +51,7 @@

    Module codeflare_sdk.cluster.cluster

    """ import re +import subprocess from time import sleep from typing import List, Optional, Tuple, Dict @@ -74,6 +75,10 @@

    Module codeflare_sdk.cluster.cluster

    RayCluster, RayClusterStatus, ) +from .widgets import ( + cluster_up_down_buttons, + is_notebook, +) from kubernetes import client, config from kubernetes.utils import parse_quantity import yaml @@ -103,6 +108,8 @@

    Module codeflare_sdk.cluster.cluster

    self.app_wrapper_yaml = self.create_app_wrapper() self._job_submission_client = None self.app_wrapper_name = self.config.name + if is_notebook(): + cluster_up_down_buttons(self) @property def _client_headers(self): @@ -188,8 +195,12 @@

    Module codeflare_sdk.cluster.cluster

    plural="appwrappers", body=aw, ) + print(f"AppWrapper: '{self.config.name}' has successfully been created") else: self._component_resources_up(namespace, api_instance) + print( + f"Ray Cluster: '{self.config.name}' has successfully been created" + ) except Exception as e: # pragma: no cover return _kube_api_error_handling(e) @@ -230,8 +241,12 @@

    Module codeflare_sdk.cluster.cluster

    plural="appwrappers", name=self.app_wrapper_name, ) + print(f"AppWrapper: '{self.config.name}' has successfully been deleted") else: self._component_resources_down(namespace, api_instance) + print( + f"Ray Cluster: '{self.config.name}' has successfully been deleted" + ) except Exception as e: # pragma: no cover return _kube_api_error_handling(e) @@ -480,6 +495,18 @@

    Module codeflare_sdk.cluster.cluster

    name=rc["metadata"]["name"], namespace=rc["metadata"]["namespace"], machine_types=machine_types, + head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["requests"]["cpu"], + head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"]["cpu"], + head_memory_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["requests"]["memory"], + head_memory_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"]["memory"], num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"], worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" @@ -578,41 +605,25 @@

    Module codeflare_sdk.cluster.cluster

    def get_current_namespace(): # pragma: no cover - if api_config_handler() != None: - if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"): - try: - file = open( - "/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r" - ) - active_context = file.readline().strip("\n") - return active_context - except Exception as e: - print("Unable to find current namespace") - return None - else: + if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"): + try: + file = open("/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r") + active_context = file.readline().strip("\n") + return active_context + except Exception as e: print("Unable to find current namespace") - return None - else: - if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"): - try: - file = open( - "/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r" - ) - active_context = file.readline().strip("\n") - return active_context - except Exception as e: - print( - "unable to gather namespace from /var/run/secrets/kubernetes.io/serviceaccount/namespace trying to gather from current context" - ) - else: - try: - _, active_context = config.list_kube_config_contexts(config_check()) - except Exception as e: - return _kube_api_error_handling(e) - try: - return active_context["context"]["namespace"] - except KeyError: - return None + + if api_config_handler() != None: + return None + print("trying to gather from current context") + try: + _, active_context = config.list_kube_config_contexts(config_check()) + except Exception as e: + return _kube_api_error_handling(e) + try: + return active_context["context"]["namespace"] + except KeyError: + return None def get_cluster( @@ -884,24 +895,33 @@

    Module codeflare_sdk.cluster.cluster

    name=rc["metadata"]["name"], status=status, # for now we are not using autoscaling so same replicas is fine - workers=rc["spec"]["workerGroupSpecs"][0]["replicas"], - worker_mem_max=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + num_workers=rc["spec"]["workerGroupSpecs"][0]["replicas"], + worker_mem_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["limits"]["memory"], - worker_mem_min=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + worker_mem_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" ][0]["resources"]["requests"]["memory"], - worker_cpu=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][ - 0 - ]["resources"]["limits"]["cpu"], + worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + "containers" + ][0]["resources"]["requests"]["cpu"], + worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"]["cpu"], worker_extended_resources=worker_extended_resources, namespace=rc["metadata"]["namespace"], - head_cpus=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][0][ - "resources" - ]["limits"]["cpu"], - head_mem=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][0][ - "resources" - ]["limits"]["memory"], + head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["requests"]["cpu"], + head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["limits"]["cpu"], + head_mem_requests=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["requests"]["memory"], + head_mem_limits=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][ + 0 + ]["resources"]["limits"]["memory"], head_extended_resources=head_extended_resources, dashboard=dashboard_url, ) @@ -923,15 +943,18 @@

    Module codeflare_sdk.cluster.cluster

    ray = RayCluster( name=cluster.config.name, status=cluster.status(print_to_console=False)[0], - workers=cluster.config.num_workers, - worker_mem_min=cluster.config.worker_memory_requests, - worker_mem_max=cluster.config.worker_memory_limits, - worker_cpu=cluster.config.worker_cpu_requests, + num_workers=cluster.config.num_workers, + worker_mem_requests=cluster.config.worker_memory_requests, + worker_mem_limits=cluster.config.worker_memory_limits, + worker_cpu_requests=cluster.config.worker_cpu_requests, + worker_cpu_limits=cluster.config.worker_cpu_limits, worker_extended_resources=cluster.config.worker_extended_resource_requests, namespace=cluster.config.namespace, dashboard=cluster.cluster_dashboard_uri(), - head_cpus=cluster.config.head_cpus, - head_mem=cluster.config.head_memory, + head_mem_requests=cluster.config.head_memory_requests, + head_mem_limits=cluster.config.head_memory_limits, + head_cpu_requests=cluster.config.head_cpu_requests, + head_cpu_limits=cluster.config.head_cpu_limits, head_extended_resources=cluster.config.head_extended_resource_requests, ) if ray.status == CodeFlareClusterStatus.READY: @@ -997,41 +1020,25 @@

    Functions

    Expand source code 
    def get_current_namespace():  # pragma: no cover
-    if api_config_handler() != None:
-        if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"):
-            try:
-                file = open(
-                    "/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r"
-                )
-                active_context = file.readline().strip("\n")
-                return active_context
-            except Exception as e:
-                print("Unable to find current namespace")
-                return None
-        else:
+    if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"):
+        try:
+            file = open("/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r")
+            active_context = file.readline().strip("\n")
+            return active_context
+        except Exception as e:
             print("Unable to find current namespace")
-            return None
-    else:
-        if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"):
-            try:
-                file = open(
-                    "/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r"
-                )
-                active_context = file.readline().strip("\n")
-                return active_context
-            except Exception as e:
-                print(
-                    "unable to gather namespace from /var/run/secrets/kubernetes.io/serviceaccount/namespace trying to gather from current context"
-                )
-        else:
-            try:
-                _, active_context = config.list_kube_config_contexts(config_check())
-            except Exception as e:
-                return _kube_api_error_handling(e)
-            try:
-                return active_context["context"]["namespace"]
-            except KeyError:
-                return None
    + + if api_config_handler() != None: + return None + print("trying to gather from current context") + try: + _, active_context = config.list_kube_config_contexts(config_check()) + except Exception as e: + return _kube_api_error_handling(e) + try: + return active_context["context"]["namespace"] + except KeyError: + return None
    @@ -1123,6 +1130,8 @@

    Classes

    self.app_wrapper_yaml = self.create_app_wrapper() self._job_submission_client = None self.app_wrapper_name = self.config.name + if is_notebook(): + cluster_up_down_buttons(self) @property def _client_headers(self): @@ -1208,8 +1217,12 @@

    Classes

    plural="appwrappers", body=aw, ) + print(f"AppWrapper: '{self.config.name}' has successfully been created") else: self._component_resources_up(namespace, api_instance) + print( + f"Ray Cluster: '{self.config.name}' has successfully been created" + ) except Exception as e: # pragma: no cover return _kube_api_error_handling(e) @@ -1250,8 +1263,12 @@

    Classes

    plural="appwrappers", name=self.app_wrapper_name, ) + print(f"AppWrapper: '{self.config.name}' has successfully been deleted") else: self._component_resources_down(namespace, api_instance) + print( + f"Ray Cluster: '{self.config.name}' has successfully been deleted" + ) except Exception as e: # pragma: no cover return _kube_api_error_handling(e) @@ -1500,6 +1517,18 @@

    Classes

    name=rc["metadata"]["name"], namespace=rc["metadata"]["namespace"], machine_types=machine_types, + head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["requests"]["cpu"], + head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"]["cpu"], + head_memory_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["requests"]["memory"], + head_memory_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"]["memory"], num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"], worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" @@ -1742,8 +1771,12 @@

    Methods

    plural="appwrappers", name=self.app_wrapper_name, ) + print(f"AppWrapper: '{self.config.name}' has successfully been deleted") else: self._component_resources_down(namespace, api_instance) + print( + f"Ray Cluster: '{self.config.name}' has successfully been deleted" + ) except Exception as e: # pragma: no cover return _kube_api_error_handling(e)     @@ -1779,6 +1812,18 @@

    Methods

    name=rc["metadata"]["name"], namespace=rc["metadata"]["namespace"], machine_types=machine_types, + head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["requests"]["cpu"], + head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"]["cpu"], + head_memory_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["requests"]["memory"], + head_memory_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][ + "containers" + ][0]["resources"]["limits"]["memory"], num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"], worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][ "containers" @@ -2022,8 +2067,12 @@

    Methods

    plural="appwrappers", body=aw, ) + print(f"AppWrapper: '{self.config.name}' has successfully been created") else: self._component_resources_up(namespace, api_instance) + print( + f"Ray Cluster: '{self.config.name}' has successfully been created" + ) except Exception as e: # pragma: no cover return _kube_api_error_handling(e) diff --git a/docs/detailed-documentation/cluster/config.html b/docs/detailed-documentation/cluster/config.html index 87ad3b77..b329fb03 100644 --- a/docs/detailed-documentation/cluster/config.html +++ b/docs/detailed-documentation/cluster/config.html @@ -107,10 +107,16 @@

    Module codeflare_sdk.cluster.config

    name: str namespace: Optional[str] = None head_info: List[str] = field(default_factory=list) - head_cpus: Union[int, str] = 2 - head_memory: Union[int, str] = 8 + head_cpu_requests: Union[int, str] = 2 + head_cpu_limits: Union[int, str] = 2 + head_cpus: Optional[Union[int, str]] = None # Deprecating + head_memory_requests: Union[int, str] = 8 + head_memory_limits: Union[int, str] = 8 + head_memory: Optional[Union[int, str]] = None # Deprecating head_gpus: Optional[int] = None # Deprecating - head_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + head_extended_resource_requests: Dict[str, Union[str, int]] = field( + default_factory=dict + ) machine_types: List[str] = field( default_factory=list ) # ["m4.xlarge", "g4dn.xlarge"] @@ -132,7 +138,9 @@

    Module codeflare_sdk.cluster.config

    write_to_file: bool = False verify_tls: bool = True labels: Dict[str, str] = field(default_factory=dict) - worker_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + worker_extended_resource_requests: Dict[str, Union[str, int]] = field( + default_factory=dict + ) extended_resource_mapping: Dict[str, str] = field(default_factory=dict) overwrite_default_resource_mapping: bool = False local_queue: Optional[str] = None @@ -215,14 +223,21 @@

    Module codeflare_sdk.cluster.config

    self.worker_memory_limits = f"{self.worker_memory_limits}G" def _memory_to_string(self): - if isinstance(self.head_memory, int): - self.head_memory = f"{self.head_memory}G" + if isinstance(self.head_memory_requests, int): + self.head_memory_requests = f"{self.head_memory_requests}G" + if isinstance(self.head_memory_limits, int): + self.head_memory_limits = f"{self.head_memory_limits}G" if isinstance(self.worker_memory_requests, int): self.worker_memory_requests = f"{self.worker_memory_requests}G" if isinstance(self.worker_memory_limits, int): self.worker_memory_limits = f"{self.worker_memory_limits}G" def _cpu_to_resource(self): + if self.head_cpus: + warnings.warn( + "head_cpus is being deprecated, use head_cpu_requests and head_cpu_limits" + ) + self.head_cpu_requests = self.head_cpu_limits = self.head_cpus if self.min_cpus: warnings.warn("min_cpus is being deprecated, use worker_cpu_requests") self.worker_cpu_requests = self.min_cpus @@ -231,6 +246,11 @@

    Module codeflare_sdk.cluster.config

    self.worker_cpu_limits = self.max_cpus def _memory_to_resource(self): + if self.head_memory: + warnings.warn( + "head_memory is being deprecated, use head_memory_requests and head_memory_limits" + ) + self.head_memory_requests = self.head_memory_limits = self.head_memory if self.min_memory: warnings.warn("min_memory is being deprecated, use worker_memory_requests") self.worker_memory_requests = f"{self.min_memory}G" @@ -282,7 +302,7 @@

    Classes

    class ClusterConfiguration -(name: str, namespace: Optional[str] = None, head_info: List[str] = <factory>, head_cpus: Union[int, str] = 2, head_memory: Union[int, str] = 8, head_gpus: Optional[int] = None, head_extended_resource_requests: Dict[str, int] = <factory>, machine_types: List[str] = <factory>, worker_cpu_requests: Union[int, str] = 1, worker_cpu_limits: Union[int, str] = 1, min_cpus: Union[int, str, ForwardRef(None)] = None, max_cpus: Union[int, str, ForwardRef(None)] = None, num_workers: int = 1, worker_memory_requests: Union[int, str] = 2, worker_memory_limits: Union[int, str] = 2, min_memory: Union[int, str, ForwardRef(None)] = None, max_memory: Union[int, str, ForwardRef(None)] = None, num_gpus: Optional[int] = None, template: str = '/home/runner/work/codeflare-sdk/codeflare-sdk/src/codeflare_sdk/templates/base-template.yaml', appwrapper: bool = False, envs: Dict[str, str] = <factory>, image: str = '', image_pull_secrets: List[str] = <factory>, write_to_file: bool = False, verify_tls: bool = True, labels: Dict[str, str] = <factory>, worker_extended_resource_requests: Dict[str, int] = <factory>, extended_resource_mapping: Dict[str, str] = <factory>, overwrite_default_resource_mapping: bool = False, local_queue: Optional[str] = None) +(name: str, namespace: Optional[str] = None, head_info: List[str] = <factory>, head_cpu_requests: Union[int, str] = 2, head_cpu_limits: Union[int, str] = 2, head_cpus: Union[int, str, ForwardRef(None)] = None, head_memory_requests: Union[int, str] = 8, head_memory_limits: Union[int, str] = 8, head_memory: Union[int, str, ForwardRef(None)] = None, head_gpus: Optional[int] = None, head_extended_resource_requests: Dict[str, Union[str, int]] = <factory>, machine_types: List[str] = <factory>, worker_cpu_requests: Union[int, str] = 1, worker_cpu_limits: Union[int, str] = 1, min_cpus: Union[int, str, ForwardRef(None)] = None, max_cpus: Union[int, str, ForwardRef(None)] = None, num_workers: int = 1, worker_memory_requests: Union[int, str] = 2, worker_memory_limits: Union[int, str] = 2, min_memory: Union[int, str, ForwardRef(None)] = None, max_memory: Union[int, str, ForwardRef(None)] = None, num_gpus: Optional[int] = None, template: str = '/home/runner/work/codeflare-sdk/codeflare-sdk/src/codeflare_sdk/templates/base-template.yaml', appwrapper: bool = False, envs: Dict[str, str] = <factory>, image: str = '', image_pull_secrets: List[str] = <factory>, write_to_file: bool = False, verify_tls: bool = True, labels: Dict[str, str] = <factory>, worker_extended_resource_requests: Dict[str, Union[str, int]] = <factory>, extended_resource_mapping: Dict[str, str] = <factory>, overwrite_default_resource_mapping: bool = False, local_queue: Optional[str] = None)

    This dataclass is used to specify resource requirements and other details, and @@ -354,10 +374,16 @@

    Classes

    name: str namespace: Optional[str] = None head_info: List[str] = field(default_factory=list) - head_cpus: Union[int, str] = 2 - head_memory: Union[int, str] = 8 + head_cpu_requests: Union[int, str] = 2 + head_cpu_limits: Union[int, str] = 2 + head_cpus: Optional[Union[int, str]] = None # Deprecating + head_memory_requests: Union[int, str] = 8 + head_memory_limits: Union[int, str] = 8 + head_memory: Optional[Union[int, str]] = None # Deprecating head_gpus: Optional[int] = None # Deprecating - head_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + head_extended_resource_requests: Dict[str, Union[str, int]] = field( + default_factory=dict + ) machine_types: List[str] = field( default_factory=list ) # ["m4.xlarge", "g4dn.xlarge"] @@ -379,7 +405,9 @@

    Classes

    write_to_file: bool = False verify_tls: bool = True labels: Dict[str, str] = field(default_factory=dict) - worker_extended_resource_requests: Dict[str, int] = field(default_factory=dict) + worker_extended_resource_requests: Dict[str, Union[str, int]] = field( + default_factory=dict + ) extended_resource_mapping: Dict[str, str] = field(default_factory=dict) overwrite_default_resource_mapping: bool = False local_queue: Optional[str] = None @@ -462,14 +490,21 @@

    Classes

    self.worker_memory_limits = f"{self.worker_memory_limits}G" def _memory_to_string(self): - if isinstance(self.head_memory, int): - self.head_memory = f"{self.head_memory}G" + if isinstance(self.head_memory_requests, int): + self.head_memory_requests = f"{self.head_memory_requests}G" + if isinstance(self.head_memory_limits, int): + self.head_memory_limits = f"{self.head_memory_limits}G" if isinstance(self.worker_memory_requests, int): self.worker_memory_requests = f"{self.worker_memory_requests}G" if isinstance(self.worker_memory_limits, int): self.worker_memory_limits = f"{self.worker_memory_limits}G" def _cpu_to_resource(self): + if self.head_cpus: + warnings.warn( + "head_cpus is being deprecated, use head_cpu_requests and head_cpu_limits" + ) + self.head_cpu_requests = self.head_cpu_limits = self.head_cpus if self.min_cpus: warnings.warn("min_cpus is being deprecated, use worker_cpu_requests") self.worker_cpu_requests = self.min_cpus @@ -478,6 +513,11 @@

    Classes

    self.worker_cpu_limits = self.max_cpus def _memory_to_resource(self): + if self.head_memory: + warnings.warn( + "head_memory is being deprecated, use head_memory_requests and head_memory_limits" + ) + self.head_memory_requests = self.head_memory_limits = self.head_memory if self.min_memory: warnings.warn("min_memory is being deprecated, use worker_memory_requests") self.worker_memory_requests = f"{self.min_memory}G" @@ -531,11 +571,19 @@

    Class variables

    -
    var head_cpus : Union[int, str]
    +
    var head_cpu_limits : Union[int, str]
    +
    +
    +
    +
    var head_cpu_requests : Union[int, str]
    +
    +
    +
    +
    var head_cpus : Union[int, str, ForwardRef(None)]
    -
    var head_extended_resource_requests : Dict[str, int]
    +
    var head_extended_resource_requests : Dict[str, Union[str, int]]
    @@ -547,7 +595,15 @@

    Class variables

    -
    var head_memory : Union[int, str]
    +
    var head_memory : Union[int, str, ForwardRef(None)]
    +
    +
    +
    +
    var head_memory_limits : Union[int, str]
    +
    +
    +
    +
    var head_memory_requests : Union[int, str]
    @@ -623,7 +679,7 @@

    Class variables

    -
    var worker_extended_resource_requests : Dict[str, int]
    +
    var worker_extended_resource_requests : Dict[str, Union[str, int]]
    @@ -663,11 +719,15 @@

    appwrapper
  • envs
  • extended_resource_mapping
    • +
  • head_cpu_limits
    • +
  • head_cpu_requests
  • head_cpus
  • head_extended_resource_requests
  • head_gpus
  • head_info
  • head_memory
    • +
  • head_memory_limits
    • +
  • head_memory_requests
  • image
  • image_pull_secrets
  • labels
    • diff --git a/docs/detailed-documentation/cluster/index.html b/docs/detailed-documentation/cluster/index.html index a7967885..f8c04fa2 100644 --- a/docs/detailed-documentation/cluster/index.html +++ b/docs/detailed-documentation/cluster/index.html @@ -49,6 +49,10 @@

    Module codeflare_sdk.cluster

    list_all_clusters, ) +from .widgets import ( + view_clusters, +) + from .awload import AWManager
    @@ -81,6 +85,10 @@

    Sub-modules

    states and AppWrapper states, and CodeFlare cluster states, as well as …

    +
    codeflare_sdk.cluster.widgets
    +
    +

    The widgets sub-module contains the ui widgets created using the ipywidgets package.

    +
    @@ -108,6 +116,7 @@

    Index

  • codeflare_sdk.cluster.cluster
  • codeflare_sdk.cluster.config
  • codeflare_sdk.cluster.model
    • +
  • codeflare_sdk.cluster.widgets
    • diff --git a/docs/detailed-documentation/cluster/model.html b/docs/detailed-documentation/cluster/model.html index a07027da..7d87e34f 100644 --- a/docs/detailed-documentation/cluster/model.html +++ b/docs/detailed-documentation/cluster/model.html @@ -54,6 +54,7 @@

    Module codeflare_sdk.cluster.model

    from dataclasses import dataclass, field from enum import Enum import typing +from typing import Union class RayClusterStatus(Enum): @@ -106,12 +107,15 @@

    Module codeflare_sdk.cluster.model

    name: str status: RayClusterStatus - head_cpus: int - head_mem: str - workers: int - worker_mem_min: str - worker_mem_max: str - worker_cpu: int + head_cpu_requests: int + head_cpu_limits: int + head_mem_requests: str + head_mem_limits: str + num_workers: int + worker_mem_requests: str + worker_mem_limits: str + worker_cpu_requests: Union[int, str] + worker_cpu_limits: Union[int, str] namespace: str dashboard: str worker_extended_resources: typing.Dict[str, int] = field(default_factory=dict) @@ -293,7 +297,7 @@

    Class variables

    class RayCluster -(name: str, status: RayClusterStatus, head_cpus: int, head_mem: str, workers: int, worker_mem_min: str, worker_mem_max: str, worker_cpu: int, namespace: str, dashboard: str, worker_extended_resources: Dict[str, int] = <factory>, head_extended_resources: Dict[str, int] = <factory>) +(name: str, status: RayClusterStatus, head_cpu_requests: int, head_cpu_limits: int, head_mem_requests: str, head_mem_limits: str, num_workers: int, worker_mem_requests: str, worker_mem_limits: str, worker_cpu_requests: Union[int, str], worker_cpu_limits: Union[int, str], namespace: str, dashboard: str, worker_extended_resources: Dict[str, int] = <factory>, head_extended_resources: Dict[str, int] = <factory>)

    For storing information about a Ray cluster.

    @@ -309,12 +313,15 @@

    Class variables

    name: str status: RayClusterStatus - head_cpus: int - head_mem: str - workers: int - worker_mem_min: str - worker_mem_max: str - worker_cpu: int + head_cpu_requests: int + head_cpu_limits: int + head_mem_requests: str + head_mem_limits: str + num_workers: int + worker_mem_requests: str + worker_mem_limits: str + worker_cpu_requests: Union[int, str] + worker_cpu_limits: Union[int, str] namespace: str dashboard: str worker_extended_resources: typing.Dict[str, int] = field(default_factory=dict) @@ -326,7 +333,11 @@

    Class variables

    -
    var head_cpus : int
    +
    var head_cpu_limits : int
    +
    +
    +
    +
    var head_cpu_requests : int
    @@ -334,7 +345,11 @@

    Class variables

    -
    var head_mem : str
    +
    var head_mem_limits : str
    +
    +
    +
    +
    var head_mem_requests : str
    @@ -346,27 +361,31 @@

    Class variables

    +
    var num_workers : int
    +
    +
    +
    var status : RayClusterStatus
    -
    var worker_cpu : int
    +
    var worker_cpu_limits : Union[int, str]
    -
    var worker_extended_resources : Dict[str, int]
    +
    var worker_cpu_requests : Union[int, str]
    -
    var worker_mem_max : str
    +
    var worker_extended_resources : Dict[str, int]
    -
    var worker_mem_min : str
    +
    var worker_mem_limits : str
    -
    var workers : int
    +
    var worker_mem_requests : str
    @@ -474,17 +493,20 @@

    RayCluster

  • diff --git a/docs/detailed-documentation/cluster/widgets.html b/docs/detailed-documentation/cluster/widgets.html new file mode 100644 index 00000000..e07fa2ea --- /dev/null +++ b/docs/detailed-documentation/cluster/widgets.html @@ -0,0 +1,758 @@ + + + + + + +codeflare_sdk.cluster.widgets API documentation + + + + + + + + + + + +
    +
    +
    +

    Module codeflare_sdk.cluster.widgets

    +
    +
    +

    The widgets sub-module contains the ui widgets created using the ipywidgets package.

    +
    + +Expand source code + +
    # Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+The widgets sub-module contains the ui widgets created using the ipywidgets package.
+"""
+import contextlib
+import io
+import os
+import warnings
+import time
+import codeflare_sdk
+from kubernetes import client
+from kubernetes.client.rest import ApiException
+import ipywidgets as widgets
+from IPython.display import display, HTML, Javascript
+import pandas as pd
+from .config import ClusterConfiguration
+from .model import RayClusterStatus
+from ..utils.kube_api_helpers import _kube_api_error_handling
+from .auth import config_check, api_config_handler
+
+
+def cluster_up_down_buttons(cluster: "codeflare_sdk.cluster.Cluster") -> widgets.Button:
+    """
+    The cluster_up_down_buttons function returns two button widgets for a create and delete button.
+    The function uses the appwrapper bool to distinguish between resource type for the tool tip.
+    """
+    resource = "Ray Cluster"
+    if cluster.config.appwrapper:
+        resource = "AppWrapper"
+
+    up_button = widgets.Button(
+        description="Cluster Up",
+        tooltip=f"Create the {resource}",
+        icon="play",
+    )
+
+    delete_button = widgets.Button(
+        description="Cluster Down",
+        tooltip=f"Delete the {resource}",
+        icon="trash",
+    )
+
+    wait_ready_check = wait_ready_check_box()
+    output = widgets.Output()
+
+    # Display the buttons in an HBox wrapped in a VBox which includes the wait_ready Checkbox
+    button_display = widgets.HBox([up_button, delete_button])
+    display(widgets.VBox([button_display, wait_ready_check]), output)
+
+    def on_up_button_clicked(b):  # Handle the up button click event
+        with output:
+            output.clear_output()
+            cluster.up()
+
+            # If the wait_ready Checkbox is clicked(value == True) trigger the wait_ready function
+            if wait_ready_check.value:
+                cluster.wait_ready()
+
+    def on_down_button_clicked(b):  # Handle the down button click event
+        with output:
+            output.clear_output()
+            cluster.down()
+
+    up_button.on_click(on_up_button_clicked)
+    delete_button.on_click(on_down_button_clicked)
+
+
+def wait_ready_check_box():
+    """
+    The wait_ready_check_box function will return a checkbox widget used for waiting for the resource to be in the state READY.
+    """
+    wait_ready_check_box = widgets.Checkbox(
+        False,
+        description="Wait for Cluster?",
+    )
+    return wait_ready_check_box
+
+
+def is_notebook() -> bool:
+    """
+    The is_notebook function checks if Jupyter Notebook environment variables exist in the given environment and return True/False based on that.
+    """
+    if (
+        "PYDEVD_IPYTHON_COMPATIBLE_DEBUGGING" in os.environ
+        or "JPY_SESSION_NAME" in os.environ
+    ):  # If running Jupyter NBs in VsCode or RHOAI/ODH display UI buttons
+        return True
+    else:
+        return False
+
+
+def view_clusters(namespace: str = None):
+    """
+    view_clusters function will display existing clusters with their specs, and handle user interactions.
+    """
+    if not is_notebook():
+        warnings.warn(
+            "view_clusters can only be used in a Jupyter Notebook environment."
+        )
+        return  # Exit function if not in Jupyter Notebook
+
+    from .cluster import get_current_namespace
+
+    if not namespace:
+        namespace = get_current_namespace()
+
+    user_output = widgets.Output()
+    raycluster_data_output = widgets.Output()
+    url_output = widgets.Output()
+
+    ray_clusters_df = _fetch_cluster_data(namespace)
+    if ray_clusters_df.empty:
+        print(f"No clusters found in the {namespace} namespace.")
+        return
+
+    classification_widget = widgets.ToggleButtons(
+        options=ray_clusters_df["Name"].tolist(),
+        value=ray_clusters_df["Name"].tolist()[0],
+        description="Select an existing cluster:",
+    )
+    # Setting the initial value to trigger the event handler to display the cluster details.
+    initial_value = classification_widget.value
+    _on_cluster_click(
+        {"new": initial_value}, raycluster_data_output, namespace, classification_widget
+    )
+    classification_widget.observe(
+        lambda selection_change: _on_cluster_click(
+            selection_change, raycluster_data_output, namespace, classification_widget
+        ),
+        names="value",
+    )
+
+    # UI table buttons
+    delete_button = widgets.Button(
+        description="Delete Cluster",
+        icon="trash",
+        tooltip="Delete the selected cluster",
+    )
+    delete_button.on_click(
+        lambda b: _on_delete_button_click(
+            b,
+            classification_widget,
+            ray_clusters_df,
+            raycluster_data_output,
+            user_output,
+            delete_button,
+            list_jobs_button,
+            ray_dashboard_button,
+        )
+    )
+
+    list_jobs_button = widgets.Button(
+        description="View Jobs", icon="suitcase", tooltip="Open the Ray Job Dashboard"
+    )
+    list_jobs_button.on_click(
+        lambda b: _on_list_jobs_button_click(
+            b, classification_widget, ray_clusters_df, user_output, url_output
+        )
+    )
+
+    ray_dashboard_button = widgets.Button(
+        description="Open Ray Dashboard",
+        icon="dashboard",
+        tooltip="Open the Ray Dashboard in a new tab",
+        layout=widgets.Layout(width="auto"),
+    )
+    ray_dashboard_button.on_click(
+        lambda b: _on_ray_dashboard_button_click(
+            b, classification_widget, ray_clusters_df, user_output, url_output
+        )
+    )
+
+    display(widgets.VBox([classification_widget, raycluster_data_output]))
+    display(
+        widgets.HBox([delete_button, list_jobs_button, ray_dashboard_button]),
+        url_output,
+        user_output,
+    )
+
+
+def _on_cluster_click(
+    selection_change,
+    raycluster_data_output: widgets.Output,
+    namespace: str,
+    classification_widget: widgets.ToggleButtons,
+):
+    """
+    _on_cluster_click handles the event when a cluster is selected from the toggle buttons, updating the output with cluster details.
+    """
+    new_value = selection_change["new"]
+    raycluster_data_output.clear_output()
+    ray_clusters_df = _fetch_cluster_data(namespace)
+    classification_widget.options = ray_clusters_df["Name"].tolist()
+    with raycluster_data_output:
+        display(
+            HTML(
+                ray_clusters_df[ray_clusters_df["Name"] == new_value][
+                    [
+                        "Name",
+                        "Namespace",
+                        "Num Workers",
+                        "Head GPUs",
+                        "Head CPU Req~Lim",
+                        "Head Memory Req~Lim",
+                        "Worker GPUs",
+                        "Worker CPU Req~Lim",
+                        "Worker Memory Req~Lim",
+                        "status",
+                    ]
+                ].to_html(escape=False, index=False, border=2)
+            )
+        )
+
+
+def _on_delete_button_click(
+    b,
+    classification_widget: widgets.ToggleButtons,
+    ray_clusters_df: pd.DataFrame,
+    raycluster_data_output: widgets.Output,
+    user_output: widgets.Output,
+    delete_button: widgets.Button,
+    list_jobs_button: widgets.Button,
+    ray_dashboard_button: widgets.Button,
+):
+    """
+    _on_delete_button_click handles the event when the Delete Button is clicked, deleting the selected cluster.
+    """
+    cluster_name = classification_widget.value
+    namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
+        "Namespace"
+    ].values[0]
+
+    _delete_cluster(cluster_name, namespace)
+
+    with user_output:
+        user_output.clear_output()
+        print(
+            f"Cluster {cluster_name} in the {namespace} namespace was deleted successfully."
+        )
+
+    # Refresh the dataframe
+    new_df = _fetch_cluster_data(namespace)
+    if new_df.empty:
+        classification_widget.close()
+        delete_button.close()
+        list_jobs_button.close()
+        ray_dashboard_button.close()
+        with raycluster_data_output:
+            raycluster_data_output.clear_output()
+            print(f"No clusters found in the {namespace} namespace.")
+    else:
+        classification_widget.options = new_df["Name"].tolist()
+
+
+def _on_ray_dashboard_button_click(
+    b,
+    classification_widget: widgets.ToggleButtons,
+    ray_clusters_df: pd.DataFrame,
+    user_output: widgets.Output,
+    url_output: widgets.Output,
+):
+    """
+    _on_ray_dashboard_button_click handles the event when the Open Ray Dashboard button is clicked, opening the Ray Dashboard in a new tab
+    """
+    from codeflare_sdk.cluster import Cluster
+
+    cluster_name = classification_widget.value
+    namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
+        "Namespace"
+    ].values[0]
+
+    # Suppress from Cluster Object initialisation widgets and outputs
+    with widgets.Output(), contextlib.redirect_stdout(
+        io.StringIO()
+    ), contextlib.redirect_stderr(io.StringIO()):
+        cluster = Cluster(ClusterConfiguration(cluster_name, namespace))
+    dashboard_url = cluster.cluster_dashboard_uri()
+
+    with user_output:
+        user_output.clear_output()
+        print(f"Opening Ray Dashboard for {cluster_name} cluster:\n{dashboard_url}")
+    with url_output:
+        display(Javascript(f'window.open("{dashboard_url}", "_blank");'))
+
+
+def _on_list_jobs_button_click(
+    b,
+    classification_widget: widgets.ToggleButtons,
+    ray_clusters_df: pd.DataFrame,
+    user_output: widgets.Output,
+    url_output: widgets.Output,
+):
+    """
+    _on_list_jobs_button_click handles the event when the View Jobs button is clicked, opening the Ray Jobs Dashboard in a new tab
+    """
+    from codeflare_sdk.cluster import Cluster
+
+    cluster_name = classification_widget.value
+    namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
+        "Namespace"
+    ].values[0]
+
+    # Suppress from Cluster Object initialisation widgets and outputs
+    with widgets.Output(), contextlib.redirect_stdout(
+        io.StringIO()
+    ), contextlib.redirect_stderr(io.StringIO()):
+        cluster = Cluster(ClusterConfiguration(cluster_name, namespace))
+    dashboard_url = cluster.cluster_dashboard_uri()
+
+    with user_output:
+        user_output.clear_output()
+        print(
+            f"Opening Ray Jobs Dashboard for {cluster_name} cluster:\n{dashboard_url}/#/jobs"
+        )
+    with url_output:
+        display(Javascript(f'window.open("{dashboard_url}/#/jobs", "_blank");'))
+
+
+def _delete_cluster(
+    cluster_name: str,
+    namespace: str,
+    timeout: int = 5,
+    interval: int = 1,
+):
+    """
+    _delete_cluster function deletes the cluster with the given name and namespace.
+    It optionally waits for the cluster to be deleted.
+    """
+    from .cluster import _check_aw_exists
+
+    try:
+        config_check()
+        api_instance = client.CustomObjectsApi(api_config_handler())
+
+        if _check_aw_exists(cluster_name, namespace):
+            api_instance.delete_namespaced_custom_object(
+                group="workload.codeflare.dev",
+                version="v1beta2",
+                namespace=namespace,
+                plural="appwrappers",
+                name=cluster_name,
+            )
+            group = "workload.codeflare.dev"
+            version = "v1beta2"
+            plural = "appwrappers"
+        else:
+            api_instance.delete_namespaced_custom_object(
+                group="ray.io",
+                version="v1",
+                namespace=namespace,
+                plural="rayclusters",
+                name=cluster_name,
+            )
+            group = "ray.io"
+            version = "v1"
+            plural = "rayclusters"
+
+        # Wait for the resource to be deleted
+        while timeout > 0:
+            try:
+                api_instance.get_namespaced_custom_object(
+                    group=group,
+                    version=version,
+                    namespace=namespace,
+                    plural=plural,
+                    name=cluster_name,
+                )
+                # Retry if resource still exists
+                time.sleep(interval)
+                timeout -= interval
+                if timeout <= 0:
+                    raise TimeoutError(
+                        f"Timeout waiting for {cluster_name} to be deleted."
+                    )
+            except ApiException as e:
+                # Resource is deleted
+                if e.status == 404:
+                    break
+    except Exception as e:  # pragma: no cover
+        return _kube_api_error_handling(e)
+
+
+def _fetch_cluster_data(namespace):
+    """
+    _fetch_cluster_data function fetches all clusters and their spec in a given namespace and returns a DataFrame.
+    """
+    from .cluster import list_all_clusters
+
+    rayclusters = list_all_clusters(namespace, False)
+    if not rayclusters:
+        return pd.DataFrame()
+    names = [item.name for item in rayclusters]
+    namespaces = [item.namespace for item in rayclusters]
+    num_workers = [item.num_workers for item in rayclusters]
+    head_extended_resources = [
+        f"{list(item.head_extended_resources.keys())[0]}: {list(item.head_extended_resources.values())[0]}"
+        if item.head_extended_resources
+        else "0"
+        for item in rayclusters
+    ]
+    worker_extended_resources = [
+        f"{list(item.worker_extended_resources.keys())[0]}: {list(item.worker_extended_resources.values())[0]}"
+        if item.worker_extended_resources
+        else "0"
+        for item in rayclusters
+    ]
+    head_cpu_requests = [
+        item.head_cpu_requests if item.head_cpu_requests else 0 for item in rayclusters
+    ]
+    head_cpu_limits = [
+        item.head_cpu_limits if item.head_cpu_limits else 0 for item in rayclusters
+    ]
+    head_cpu_rl = [
+        f"{requests}~{limits}"
+        for requests, limits in zip(head_cpu_requests, head_cpu_limits)
+    ]
+    head_mem_requests = [
+        item.head_mem_requests if item.head_mem_requests else 0 for item in rayclusters
+    ]
+    head_mem_limits = [
+        item.head_mem_limits if item.head_mem_limits else 0 for item in rayclusters
+    ]
+    head_mem_rl = [
+        f"{requests}~{limits}"
+        for requests, limits in zip(head_mem_requests, head_mem_limits)
+    ]
+    worker_cpu_requests = [
+        item.worker_cpu_requests if item.worker_cpu_requests else 0
+        for item in rayclusters
+    ]
+    worker_cpu_limits = [
+        item.worker_cpu_limits if item.worker_cpu_limits else 0 for item in rayclusters
+    ]
+    worker_cpu_rl = [
+        f"{requests}~{limits}"
+        for requests, limits in zip(worker_cpu_requests, worker_cpu_limits)
+    ]
+    worker_mem_requests = [
+        item.worker_mem_requests if item.worker_mem_requests else 0
+        for item in rayclusters
+    ]
+    worker_mem_limits = [
+        item.worker_mem_limits if item.worker_mem_limits else 0 for item in rayclusters
+    ]
+    worker_mem_rl = [
+        f"{requests}~{limits}"
+        for requests, limits in zip(worker_mem_requests, worker_mem_limits)
+    ]
+    status = [item.status.name for item in rayclusters]
+
+    status = [_format_status(item.status) for item in rayclusters]
+
+    data = {
+        "Name": names,
+        "Namespace": namespaces,
+        "Num Workers": num_workers,
+        "Head GPUs": head_extended_resources,
+        "Worker GPUs": worker_extended_resources,
+        "Head CPU Req~Lim": head_cpu_rl,
+        "Head Memory Req~Lim": head_mem_rl,
+        "Worker CPU Req~Lim": worker_cpu_rl,
+        "Worker Memory Req~Lim": worker_mem_rl,
+        "status": status,
+    }
+    return pd.DataFrame(data)
+
+
+def _format_status(status):
+    """
+    _format_status function formats the status enum.
+    """
+    status_map = {
+        RayClusterStatus.READY: '<span style="color: green;">Ready ✓</span>',
+        RayClusterStatus.SUSPENDED: '<span style="color: #007BFF;">Suspended ❄️</span>',
+        RayClusterStatus.FAILED: '<span style="color: red;">Failed ✗</span>',
+        RayClusterStatus.UNHEALTHY: '<span style="color: purple;">Unhealthy</span>',
+        RayClusterStatus.UNKNOWN: '<span style="color: purple;">Unknown</span>',
+    }
+    return status_map.get(status, status)
    +
    +
    +
    +
    +
    +
    +
    +

    Functions

    +
    +
    +def cluster_up_down_buttons(cluster: codeflare_sdk.cluster.Cluster) ‑> ipywidgets.widgets.widget_button.Button +
    +
    +

    The cluster_up_down_buttons function returns two button widgets for a create and delete button. +The function uses the appwrapper bool to distinguish between resource type for the tool tip.

    +
    + +Expand source code + +
    def cluster_up_down_buttons(cluster: "codeflare_sdk.cluster.Cluster") -> widgets.Button:
+    """
+    The cluster_up_down_buttons function returns two button widgets for a create and delete button.
+    The function uses the appwrapper bool to distinguish between resource type for the tool tip.
+    """
+    resource = "Ray Cluster"
+    if cluster.config.appwrapper:
+        resource = "AppWrapper"
+
+    up_button = widgets.Button(
+        description="Cluster Up",
+        tooltip=f"Create the {resource}",
+        icon="play",
+    )
+
+    delete_button = widgets.Button(
+        description="Cluster Down",
+        tooltip=f"Delete the {resource}",
+        icon="trash",
+    )
+
+    wait_ready_check = wait_ready_check_box()
+    output = widgets.Output()
+
+    # Display the buttons in an HBox wrapped in a VBox which includes the wait_ready Checkbox
+    button_display = widgets.HBox([up_button, delete_button])
+    display(widgets.VBox([button_display, wait_ready_check]), output)
+
+    def on_up_button_clicked(b):  # Handle the up button click event
+        with output:
+            output.clear_output()
+            cluster.up()
+
+            # If the wait_ready Checkbox is clicked(value == True) trigger the wait_ready function
+            if wait_ready_check.value:
+                cluster.wait_ready()
+
+    def on_down_button_clicked(b):  # Handle the down button click event
+        with output:
+            output.clear_output()
+            cluster.down()
+
+    up_button.on_click(on_up_button_clicked)
+    delete_button.on_click(on_down_button_clicked)
    +
    +
    +
    +def is_notebook() ‑> bool +
    +
    +

    The is_notebook function checks if Jupyter Notebook environment variables exist in the given environment and return True/False based on that.

    +
    + +Expand source code + +
    def is_notebook() -> bool:
+    """
+    The is_notebook function checks if Jupyter Notebook environment variables exist in the given environment and return True/False based on that.
+    """
+    if (
+        "PYDEVD_IPYTHON_COMPATIBLE_DEBUGGING" in os.environ
+        or "JPY_SESSION_NAME" in os.environ
+    ):  # If running Jupyter NBs in VsCode or RHOAI/ODH display UI buttons
+        return True
+    else:
+        return False
    +
    +
    +
    +def view_clusters(namespace: str = None) +
    +
    +

    view_clusters function will display existing clusters with their specs, and handle user interactions.

    +
    + +Expand source code + +
    def view_clusters(namespace: str = None):
+    """
+    view_clusters function will display existing clusters with their specs, and handle user interactions.
+    """
+    if not is_notebook():
+        warnings.warn(
+            "view_clusters can only be used in a Jupyter Notebook environment."
+        )
+        return  # Exit function if not in Jupyter Notebook
+
+    from .cluster import get_current_namespace
+
+    if not namespace:
+        namespace = get_current_namespace()
+
+    user_output = widgets.Output()
+    raycluster_data_output = widgets.Output()
+    url_output = widgets.Output()
+
+    ray_clusters_df = _fetch_cluster_data(namespace)
+    if ray_clusters_df.empty:
+        print(f"No clusters found in the {namespace} namespace.")
+        return
+
+    classification_widget = widgets.ToggleButtons(
+        options=ray_clusters_df["Name"].tolist(),
+        value=ray_clusters_df["Name"].tolist()[0],
+        description="Select an existing cluster:",
+    )
+    # Setting the initial value to trigger the event handler to display the cluster details.
+    initial_value = classification_widget.value
+    _on_cluster_click(
+        {"new": initial_value}, raycluster_data_output, namespace, classification_widget
+    )
+    classification_widget.observe(
+        lambda selection_change: _on_cluster_click(
+            selection_change, raycluster_data_output, namespace, classification_widget
+        ),
+        names="value",
+    )
+
+    # UI table buttons
+    delete_button = widgets.Button(
+        description="Delete Cluster",
+        icon="trash",
+        tooltip="Delete the selected cluster",
+    )
+    delete_button.on_click(
+        lambda b: _on_delete_button_click(
+            b,
+            classification_widget,
+            ray_clusters_df,
+            raycluster_data_output,
+            user_output,
+            delete_button,
+            list_jobs_button,
+            ray_dashboard_button,
+        )
+    )
+
+    list_jobs_button = widgets.Button(
+        description="View Jobs", icon="suitcase", tooltip="Open the Ray Job Dashboard"
+    )
+    list_jobs_button.on_click(
+        lambda b: _on_list_jobs_button_click(
+            b, classification_widget, ray_clusters_df, user_output, url_output
+        )
+    )
+
+    ray_dashboard_button = widgets.Button(
+        description="Open Ray Dashboard",
+        icon="dashboard",
+        tooltip="Open the Ray Dashboard in a new tab",
+        layout=widgets.Layout(width="auto"),
+    )
+    ray_dashboard_button.on_click(
+        lambda b: _on_ray_dashboard_button_click(
+            b, classification_widget, ray_clusters_df, user_output, url_output
+        )
+    )
+
+    display(widgets.VBox([classification_widget, raycluster_data_output]))
+    display(
+        widgets.HBox([delete_button, list_jobs_button, ray_dashboard_button]),
+        url_output,
+        user_output,
+    )
    +
    +
    +
    +def wait_ready_check_box() +
    +
    +

    The wait_ready_check_box function will return a checkbox widget used for waiting for the resource to be in the state READY.

    +
    + +Expand source code + +
    def wait_ready_check_box():
+    """
+    The wait_ready_check_box function will return a checkbox widget used for waiting for the resource to be in the state READY.
+    """
+    wait_ready_check_box = widgets.Checkbox(
+        False,
+        description="Wait for Cluster?",
+    )
+    return wait_ready_check_box
    +
    +
    +
    +
    +
    +
    +
    + +
    + + + diff --git a/docs/detailed-documentation/index.html b/docs/detailed-documentation/index.html index fd74344f..45000719 100644 --- a/docs/detailed-documentation/index.html +++ b/docs/detailed-documentation/index.html @@ -42,6 +42,7 @@

    Package codeflare_sdk

    get_cluster, list_all_queued, list_all_clusters, + view_clusters, ) from .job import RayJobClient diff --git a/docs/detailed-documentation/job/ray_jobs.html b/docs/detailed-documentation/job/ray_jobs.html index 01fa5fb5..20002e27 100644 --- a/docs/detailed-documentation/job/ray_jobs.html +++ b/docs/detailed-documentation/job/ray_jobs.html @@ -47,6 +47,7 @@

    Module codeflare_sdk.job.ray_jobs

    The ray_jobs sub-module contains methods needed to submit jobs and connect to Ray Clusters that were not created by CodeFlare. The SDK acts as a wrapper for the Ray Job Submission Client. """ + from ray.job_submission import JobSubmissionClient from ray.dashboard.modules.job.pydantic_models import JobDetails from typing import Iterator, Optional, Dict, Any, Union, List @@ -93,6 +94,7 @@

    Module codeflare_sdk.job.ray_jobs

    submission_id: Optional[str] = None, entrypoint_num_cpus: Optional[Union[int, float]] = None, entrypoint_num_gpus: Optional[Union[int, float]] = None, + entrypoint_memory: Optional[int] = None, entrypoint_resources: Optional[Dict[str, float]] = None, ) -> str: """ @@ -106,6 +108,7 @@

    Module codeflare_sdk.job.ray_jobs

    job_id -- DEPRECATED. This has been renamed to submission_id entrypoint_num_cpus -- The quantity of CPU cores to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. entrypoint_num_gpus -- The quantity of GPUs to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. + entrypoint_memory –- The quantity of memory to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. entrypoint_resources -- The quantity of custom resources to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. """ return self.rayJobClient.submit_job( @@ -116,6 +119,7 @@

    Module codeflare_sdk.job.ray_jobs

    submission_id=submission_id, entrypoint_num_cpus=entrypoint_num_cpus, entrypoint_num_gpus=entrypoint_num_gpus, + entrypoint_memory=entrypoint_memory, entrypoint_resources=entrypoint_resources, ) @@ -248,6 +252,7 @@

    Classes

    submission_id: Optional[str] = None, entrypoint_num_cpus: Optional[Union[int, float]] = None, entrypoint_num_gpus: Optional[Union[int, float]] = None, + entrypoint_memory: Optional[int] = None, entrypoint_resources: Optional[Dict[str, float]] = None, ) -> str: """ @@ -261,6 +266,7 @@

    Classes

    job_id -- DEPRECATED. This has been renamed to submission_id entrypoint_num_cpus -- The quantity of CPU cores to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. entrypoint_num_gpus -- The quantity of GPUs to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. + entrypoint_memory –- The quantity of memory to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. entrypoint_resources -- The quantity of custom resources to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. """ return self.rayJobClient.submit_job( @@ -271,6 +277,7 @@

    Classes

    submission_id=submission_id, entrypoint_num_cpus=entrypoint_num_cpus, entrypoint_num_gpus=entrypoint_num_gpus, + entrypoint_memory=entrypoint_memory, entrypoint_resources=entrypoint_resources, ) @@ -461,7 +468,7 @@

    Methods

    -def submit_job(self, entrypoint: str, job_id: Optional[str] = None, runtime_env: Optional[Dict[str, Any]] = None, metadata: Optional[Dict[str, str]] = None, submission_id: Optional[str] = None, entrypoint_num_cpus: Union[int, float, ForwardRef(None)] = None, entrypoint_num_gpus: Union[int, float, ForwardRef(None)] = None, entrypoint_resources: Optional[Dict[str, float]] = None) ‑> str +def submit_job(self, entrypoint: str, job_id: Optional[str] = None, runtime_env: Optional[Dict[str, Any]] = None, metadata: Optional[Dict[str, str]] = None, submission_id: Optional[str] = None, entrypoint_num_cpus: Union[int, float, ForwardRef(None)] = None, entrypoint_num_gpus: Union[int, float, ForwardRef(None)] = None, entrypoint_memory: Optional[int] = None, entrypoint_resources: Optional[Dict[str, float]] = None) ‑> str

    Method for submitting jobs to a Ray Cluster and returning the job id with entrypoint being a mandatory field.

    @@ -473,6 +480,7 @@

    Methods

    job_id – DEPRECATED. This has been renamed to submission_id entrypoint_num_cpus – The quantity of CPU cores to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. entrypoint_num_gpus – The quantity of GPUs to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. +entrypoint_memory –- The quantity of memory to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. entrypoint_resources – The quantity of custom resources to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it.

    @@ -487,6 +495,7 @@

    Methods

    submission_id: Optional[str] = None, entrypoint_num_cpus: Optional[Union[int, float]] = None, entrypoint_num_gpus: Optional[Union[int, float]] = None, + entrypoint_memory: Optional[int] = None, entrypoint_resources: Optional[Dict[str, float]] = None, ) -> str: """ @@ -500,6 +509,7 @@

    Methods

    job_id -- DEPRECATED. This has been renamed to submission_id entrypoint_num_cpus -- The quantity of CPU cores to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. entrypoint_num_gpus -- The quantity of GPUs to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. + entrypoint_memory –- The quantity of memory to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0. entrypoint_resources -- The quantity of custom resources to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. """ return self.rayJobClient.submit_job( @@ -510,6 +520,7 @@

    Methods

    submission_id=submission_id, entrypoint_num_cpus=entrypoint_num_cpus, entrypoint_num_gpus=entrypoint_num_gpus, + entrypoint_memory=entrypoint_memory, entrypoint_resources=entrypoint_resources, )
    diff --git a/docs/detailed-documentation/utils/generate_yaml.html b/docs/detailed-documentation/utils/generate_yaml.html index 7b41e3c9..60ce89df 100644 --- a/docs/detailed-documentation/utils/generate_yaml.html +++ b/docs/detailed-documentation/utils/generate_yaml.html @@ -146,22 +146,22 @@

    Module codeflare_sdk.utils.generate_yaml

    def update_resources( spec, - worker_cpu_requests, - worker_cpu_limits, - worker_memory_requests, - worker_memory_limits, + cpu_requests, + cpu_limits, + memory_requests, + memory_limits, custom_resources, ): container = spec.get("containers") for resource in container: requests = resource.get("resources").get("requests") if requests is not None: - requests["cpu"] = worker_cpu_requests - requests["memory"] = worker_memory_requests + requests["cpu"] = cpu_requests + requests["memory"] = memory_requests limits = resource.get("resources").get("limits") if limits is not None: - limits["cpu"] = worker_cpu_limits - limits["memory"] = worker_memory_limits + limits["cpu"] = cpu_limits + limits["memory"] = memory_limits for k in custom_resources.keys(): limits[k] = custom_resources[k] requests[k] = custom_resources[k] @@ -241,10 +241,10 @@

    Module codeflare_sdk.utils.generate_yaml

    # TODO: Eventually add head node configuration outside of template update_resources( spec, - cluster.config.head_cpus, - cluster.config.head_cpus, - cluster.config.head_memory, - cluster.config.head_memory, + cluster.config.head_cpu_requests, + cluster.config.head_cpu_limits, + cluster.config.head_memory_requests, + cluster.config.head_memory_limits, cluster.config.head_extended_resource_requests, ) else: @@ -812,10 +812,10 @@

    Functions

    # TODO: Eventually add head node configuration outside of template update_resources( spec, - cluster.config.head_cpus, - cluster.config.head_cpus, - cluster.config.head_memory, - cluster.config.head_memory, + cluster.config.head_cpu_requests, + cluster.config.head_cpu_limits, + cluster.config.head_memory_requests, + cluster.config.head_memory_limits, cluster.config.head_extended_resource_requests, ) else: @@ -830,7 +830,7 @@

    Functions

    -def update_resources(spec, worker_cpu_requests, worker_cpu_limits, worker_memory_requests, worker_memory_limits, custom_resources) +def update_resources(spec, cpu_requests, cpu_limits, memory_requests, memory_limits, custom_resources)
    @@ -840,22 +840,22 @@

    Functions

    def update_resources(
     spec,
-    worker_cpu_requests,
-    worker_cpu_limits,
-    worker_memory_requests,
-    worker_memory_limits,
+    cpu_requests,
+    cpu_limits,
+    memory_requests,
+    memory_limits,
     custom_resources,
 ):
     container = spec.get("containers")
     for resource in container:
         requests = resource.get("resources").get("requests")
         if requests is not None:
-            requests["cpu"] = worker_cpu_requests
-            requests["memory"] = worker_memory_requests
+            requests["cpu"] = cpu_requests
+            requests["memory"] = memory_requests
         limits = resource.get("resources").get("limits")
         if limits is not None:
-            limits["cpu"] = worker_cpu_limits
-            limits["memory"] = worker_memory_limits
+            limits["cpu"] = cpu_limits
+            limits["memory"] = memory_limits
         for k in custom_resources.keys():
             limits[k] = custom_resources[k]
             requests[k] = custom_resources[k]
    diff --git a/docs/detailed-documentation/utils/pretty_print.html b/docs/detailed-documentation/utils/pretty_print.html index cbffd122..f2a8d7db 100644 --- a/docs/detailed-documentation/utils/pretty_print.html +++ b/docs/detailed-documentation/utils/pretty_print.html @@ -166,9 +166,9 @@

    Module codeflare_sdk.utils.pretty_print

    ) name = cluster.name dashboard = cluster.dashboard - workers = str(cluster.workers) - memory = f"{cluster.worker_mem_min}~{cluster.worker_mem_max}" - cpu = str(cluster.worker_cpu) + workers = str(cluster.num_workers) + memory = f"{cluster.worker_mem_requests}~{cluster.worker_mem_limits}" + cpu = f"{cluster.worker_cpu_requests}~{cluster.worker_cpu_limits}" gpu = str(cluster.worker_extended_resources.get("nvidia.com/gpu", 0)) #'table0' to display the cluster name, status, url, and dashboard link @@ -344,9 +344,9 @@

    Functions

    ) name = cluster.name dashboard = cluster.dashboard - workers = str(cluster.workers) - memory = f"{cluster.worker_mem_min}~{cluster.worker_mem_max}" - cpu = str(cluster.worker_cpu) + workers = str(cluster.num_workers) + memory = f"{cluster.worker_mem_requests}~{cluster.worker_mem_limits}" + cpu = f"{cluster.worker_cpu_requests}~{cluster.worker_cpu_limits}" gpu = str(cluster.worker_extended_resources.get("nvidia.com/gpu", 0)) #'table0' to display the cluster name, status, url, and dashboard link From d14902d2107485c34ce499d1982b4e856bb0dc8c Mon Sep 17 00:00:00 2001 From: Christian Zaccaria <73656840+ChristianZaccaria@users.noreply.github.com> Date: Fri, 27 Sep 2024 16:45:03 +0100 Subject: [PATCH 107/254] Upgrade poetry version to latest 1.8.3 (#688) * Upgrade poetry version to latest 1.8.3 * Update poetry.lock file --- .github/workflows/nightly-image-build.yaml | 2 +- .github/workflows/release.yaml | 2 +- poetry.lock | 1919 ++++++++++---------- pyproject.toml | 4 - 4 files changed, 1009 insertions(+), 918 deletions(-) diff --git a/.github/workflows/nightly-image-build.yaml b/.github/workflows/nightly-image-build.yaml index 4532c4a7..4b033c70 100644 --- a/.github/workflows/nightly-image-build.yaml +++ b/.github/workflows/nightly-image-build.yaml @@ -8,7 +8,7 @@ on: env: PYTHON_VERSION: 3.8 - POETRY_VERSION: 1.5.1 + POETRY_VERSION: 1.8.3 QUAY_ORGANIZATION: 'project-codeflare' SDK_FILE: 'codeflare_sdk-0.0.0.dev0.tar.gz' IMAGE_TAG: 'dev' diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml index aae3e324..0b9d6bbc 100644 --- a/.github/workflows/release.yaml +++ b/.github/workflows/release.yaml @@ -21,7 +21,7 @@ on: required: true poetry_version: type: string - default: "1.5.1" + default: "1.8.3" required: true codeflare-repository-organization: type: string diff --git a/poetry.lock b/poetry.lock index a56bb3f0..3d68e4a8 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,100 +1,127 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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Reference: https://github.com/target/strelka/pull/469 -setuptools = "<= 73.0.0" [tool.poetry.group.docs] optional = true From 1a95a150ac066d1740d17282877edb23acb35ab2 Mon Sep 17 00:00:00 2001 From: Kevin Date: Mon, 16 Sep 2024 10:47:24 -0400 Subject: [PATCH 108/254] wrap api client to add defaults Signed-off-by: Kevin --- src/codeflare_sdk/cluster/auth.py | 61 ++++++++++++------------ src/codeflare_sdk/cluster/awload.py | 6 +-- src/codeflare_sdk/cluster/cluster.py | 39 +++++++-------- src/codeflare_sdk/cluster/widgets.py | 4 +- src/codeflare_sdk/utils/generate_cert.py | 4 +- src/codeflare_sdk/utils/generate_yaml.py | 8 ++-- tests/unit_test.py | 14 +++--- 7 files changed, 67 insertions(+), 69 deletions(-) diff --git a/src/codeflare_sdk/cluster/auth.py b/src/codeflare_sdk/cluster/auth.py index c39fe1d4..fbba0c22 100644 --- a/src/codeflare_sdk/cluster/auth.py +++ b/src/codeflare_sdk/cluster/auth.py @@ -93,17 +93,7 @@ def __init__( self.token = token self.server = server self.skip_tls = skip_tls - self.ca_cert_path = self._gen_ca_cert_path(ca_cert_path) - - def _gen_ca_cert_path(self, ca_cert_path: str): - if ca_cert_path is not None: - return ca_cert_path - elif "CF_SDK_CA_CERT_PATH" in os.environ: - return os.environ.get("CF_SDK_CA_CERT_PATH") - elif os.path.exists(WORKBENCH_CA_CERT_PATH): - return WORKBENCH_CA_CERT_PATH - else: - return None + self.ca_cert_path = _gen_ca_cert_path(ca_cert_path) def login(self) -> str: """ @@ -119,25 +109,14 @@ def login(self) -> str: configuration.host = self.server configuration.api_key["authorization"] = self.token + api_client = client.ApiClient(configuration) if not self.skip_tls: - if self.ca_cert_path is None: - configuration.ssl_ca_cert = None - elif os.path.isfile(self.ca_cert_path): - print( - f"Authenticated with certificate located at {self.ca_cert_path}" - ) - configuration.ssl_ca_cert = self.ca_cert_path - else: - raise FileNotFoundError( - f"Certificate file not found at {self.ca_cert_path}" - ) - configuration.verify_ssl = True + _client_with_cert(api_client, self.ca_cert_path) else: urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) print("Insecure request warnings have been disabled") configuration.verify_ssl = False - api_client = client.ApiClient(configuration) client.AuthenticationApi(api_client).get_api_group() config_path = None return "Logged into %s" % self.server @@ -211,11 +190,33 @@ def config_check() -> str: return config_path -def api_config_handler() -> Optional[client.ApiClient]: - """ - This function is used to load the api client if the user has logged in - """ - if api_client != None and config_path == None: - return api_client +def _client_with_cert(client: client.ApiClient, ca_cert_path: Optional[str] = None): + client.configuration.verify_ssl = True + cert_path = _gen_ca_cert_path(ca_cert_path) + if cert_path is None: + client.configuration.ssl_ca_cert = None + elif os.path.isfile(cert_path): + client.configuration.ssl_ca_cert = cert_path + else: + raise FileNotFoundError(f"Certificate file not found at {cert_path}") + + +def _gen_ca_cert_path(ca_cert_path: Optional[str]): + """Gets the path to the default CA certificate file either through env config or default path""" + if ca_cert_path is not None: + return ca_cert_path + elif "CF_SDK_CA_CERT_PATH" in os.environ: + return os.environ.get("CF_SDK_CA_CERT_PATH") + elif os.path.exists(WORKBENCH_CA_CERT_PATH): + return WORKBENCH_CA_CERT_PATH else: return None + + +def get_api_client() -> client.ApiClient: + "This function should load the api client with defaults" + if api_client != None: + return api_client + to_return = client.ApiClient() + _client_with_cert(to_return) + return to_return diff --git a/src/codeflare_sdk/cluster/awload.py b/src/codeflare_sdk/cluster/awload.py index 7455b216..1ead5914 100644 --- a/src/codeflare_sdk/cluster/awload.py +++ b/src/codeflare_sdk/cluster/awload.py @@ -24,7 +24,7 @@ from kubernetes import client, config from ..utils.kube_api_helpers import _kube_api_error_handling -from .auth import config_check, api_config_handler +from .auth import config_check, get_api_client class AWManager: @@ -59,7 +59,7 @@ def submit(self) -> None: """ try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -84,7 +84,7 @@ def remove(self) -> None: try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py index a32d5a4b..44effda7 100644 --- a/src/codeflare_sdk/cluster/cluster.py +++ b/src/codeflare_sdk/cluster/cluster.py @@ -26,7 +26,7 @@ from kubernetes import config from ray.job_submission import JobSubmissionClient -from .auth import config_check, api_config_handler +from .auth import config_check, get_api_client from ..utils import pretty_print from ..utils.generate_yaml import ( generate_appwrapper, @@ -81,7 +81,7 @@ def __init__(self, config: ClusterConfiguration): @property def _client_headers(self): - k8_client = api_config_handler() or client.ApiClient() + k8_client = get_api_client() return { "Authorization": k8_client.configuration.get_api_key_with_prefix( "authorization" @@ -96,7 +96,7 @@ def _client_verify_tls(self): @property def job_client(self): - k8client = api_config_handler() or client.ApiClient() + k8client = get_api_client() if self._job_submission_client: return self._job_submission_client if is_openshift_cluster(): @@ -142,7 +142,7 @@ def up(self): try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) if self.config.appwrapper: if self.config.write_to_file: with open(self.app_wrapper_yaml) as f: @@ -173,7 +173,7 @@ def up(self): return _kube_api_error_handling(e) def _throw_for_no_raycluster(self): - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) try: api_instance.list_namespaced_custom_object( group="ray.io", @@ -200,7 +200,7 @@ def down(self): self._throw_for_no_raycluster() try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) if self.config.appwrapper: api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", @@ -359,7 +359,7 @@ def cluster_dashboard_uri(self) -> str: config_check() if is_openshift_cluster(): try: - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) routes = api_instance.list_namespaced_custom_object( group="route.openshift.io", version="v1", @@ -381,7 +381,7 @@ def cluster_dashboard_uri(self) -> str: return f"{protocol}://{route['spec']['host']}" else: try: - api_instance = client.NetworkingV1Api(api_config_handler()) + api_instance = client.NetworkingV1Api(get_api_client()) ingresses = api_instance.list_namespaced_ingress(self.config.namespace) except Exception as e: # pragma no cover return _kube_api_error_handling(e) @@ -580,9 +580,6 @@ def get_current_namespace(): # pragma: no cover return active_context except Exception as e: print("Unable to find current namespace") - - if api_config_handler() != None: - return None print("trying to gather from current context") try: _, active_context = config.list_kube_config_contexts(config_check()) @@ -602,7 +599,7 @@ def get_cluster( ): try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) rcs = api_instance.list_namespaced_custom_object( group="ray.io", version="v1", @@ -657,7 +654,7 @@ def _create_resources(yamls, namespace: str, api_instance: client.CustomObjectsA def _check_aw_exists(name: str, namespace: str) -> bool: try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -684,7 +681,7 @@ def _get_ingress_domain(self): # pragma: no cover if is_openshift_cluster(): try: - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) routes = api_instance.list_namespaced_custom_object( group="route.openshift.io", @@ -703,7 +700,7 @@ def _get_ingress_domain(self): # pragma: no cover domain = route["spec"]["host"] else: try: - api_client = client.NetworkingV1Api(api_config_handler()) + api_client = client.NetworkingV1Api(get_api_client()) ingresses = api_client.list_namespaced_ingress(namespace) except Exception as e: # pragma: no cover return _kube_api_error_handling(e) @@ -717,7 +714,7 @@ def _get_ingress_domain(self): # pragma: no cover def _app_wrapper_status(name, namespace="default") -> Optional[AppWrapper]: try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -736,7 +733,7 @@ def _app_wrapper_status(name, namespace="default") -> Optional[AppWrapper]: def _ray_cluster_status(name, namespace="default") -> Optional[RayCluster]: try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) rcs = api_instance.list_namespaced_custom_object( group="ray.io", version="v1", @@ -758,7 +755,7 @@ def _get_ray_clusters( list_of_clusters = [] try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) rcs = api_instance.list_namespaced_custom_object( group="ray.io", version="v1", @@ -787,7 +784,7 @@ def _get_app_wrappers( try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -816,7 +813,7 @@ def _map_to_ray_cluster(rc) -> Optional[RayCluster]: dashboard_url = None if is_openshift_cluster(): try: - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) routes = api_instance.list_namespaced_custom_object( group="route.openshift.io", version="v1", @@ -835,7 +832,7 @@ def _map_to_ray_cluster(rc) -> Optional[RayCluster]: dashboard_url = f"{protocol}://{route['spec']['host']}" else: try: - api_instance = client.NetworkingV1Api(api_config_handler()) + api_instance = client.NetworkingV1Api(get_api_client()) ingresses = api_instance.list_namespaced_ingress( rc["metadata"]["namespace"] ) diff --git a/src/codeflare_sdk/cluster/widgets.py b/src/codeflare_sdk/cluster/widgets.py index 53afa28b..a96a1a49 100644 --- a/src/codeflare_sdk/cluster/widgets.py +++ b/src/codeflare_sdk/cluster/widgets.py @@ -29,7 +29,7 @@ from .config import ClusterConfiguration from .model import RayClusterStatus from ..utils.kube_api_helpers import _kube_api_error_handling -from .auth import config_check, api_config_handler +from .auth import config_check, get_api_client def cluster_up_down_buttons(cluster: "codeflare_sdk.cluster.Cluster") -> widgets.Button: @@ -343,7 +343,7 @@ def _delete_cluster( try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) if _check_aw_exists(cluster_name, namespace): api_instance.delete_namespaced_custom_object( diff --git a/src/codeflare_sdk/utils/generate_cert.py b/src/codeflare_sdk/utils/generate_cert.py index 5de56882..f3dc80e9 100644 --- a/src/codeflare_sdk/utils/generate_cert.py +++ b/src/codeflare_sdk/utils/generate_cert.py @@ -19,7 +19,7 @@ from cryptography import x509 from cryptography.x509.oid import NameOID import datetime -from ..cluster.auth import config_check, api_config_handler +from ..cluster.auth import config_check, get_api_client from kubernetes import client, config from .kube_api_helpers import _kube_api_error_handling @@ -103,7 +103,7 @@ def generate_tls_cert(cluster_name, namespace, days=30): # oc get secret ca-secret- -o template='{{index .data "ca.key"}}' # oc get secret ca-secret- -o template='{{index .data "ca.crt"}}'|base64 -d > ${TLSDIR}/ca.crt config_check() - v1 = client.CoreV1Api(api_config_handler()) + v1 = client.CoreV1Api(get_api_client()) # Secrets have a suffix appended to the end so we must list them and gather the secret that includes cluster_name-ca-secret- secret_name = get_secret_name(cluster_name, namespace, v1) diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py index c4e1755d..7a17e010 100755 --- a/src/codeflare_sdk/utils/generate_yaml.py +++ b/src/codeflare_sdk/utils/generate_yaml.py @@ -27,7 +27,7 @@ import uuid from kubernetes import client, config from .kube_api_helpers import _kube_api_error_handling -from ..cluster.auth import api_config_handler, config_check +from ..cluster.auth import get_api_client, config_check from os import urandom from base64 import b64encode from urllib3.util import parse_url @@ -57,7 +57,7 @@ def gen_names(name): def is_openshift_cluster(): try: config_check() - for api in client.ApisApi(api_config_handler()).get_api_versions().groups: + for api in client.ApisApi(get_api_client()).get_api_versions().groups: for v in api.versions: if "route.openshift.io/v1" in v.group_version: return True @@ -235,7 +235,7 @@ def get_default_kueue_name(namespace: str): # If the local queue is set, use it. Otherwise, try to use the default queue. try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) local_queues = api_instance.list_namespaced_custom_object( group="kueue.x-k8s.io", version="v1beta1", @@ -261,7 +261,7 @@ def local_queue_exists(namespace: str, local_queue_name: str): # get all local queues in the namespace try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) local_queues = api_instance.list_namespaced_custom_object( group="kueue.x-k8s.io", version="v1beta1", diff --git a/tests/unit_test.py b/tests/unit_test.py index ae2af659..d4b7b149 100644 --- a/tests/unit_test.py +++ b/tests/unit_test.py @@ -134,7 +134,7 @@ def test_token_auth_creation(): assert token_auth.skip_tls == True assert token_auth.ca_cert_path == None - os.environ["CF_SDK_CA_CERT_PATH"] = f"/etc/pki/tls/custom-certs/ca-bundle.crt" + os.environ["CF_SDK_CA_CERT_PATH"] = "/etc/pki/tls/custom-certs/ca-bundle.crt" token_auth = TokenAuthentication(token="token", server="server", skip_tls=False) assert token_auth.token == "token" assert token_auth.server == "server" @@ -153,7 +153,7 @@ def test_token_auth_creation(): assert token_auth.skip_tls == False assert token_auth.ca_cert_path == f"{parent}/tests/auth-test.crt" - except Exception: + except Exception as e: assert 0 == 1 @@ -294,6 +294,7 @@ def test_cluster_creation(mocker): ) +@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"}) def test_cluster_no_kueue_no_aw(mocker): mocker.patch("kubernetes.client.ApisApi.get_api_versions") mocker.patch( @@ -301,7 +302,6 @@ def test_cluster_no_kueue_no_aw(mocker): return_value={"spec": {"domain": "apps.cluster.awsroute.org"}}, ) mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object") - mocker.patch("os.environ.get", return_value="test-prefix") config = createClusterConfig() config.appwrapper = False config.name = "unit-test-no-kueue" @@ -350,6 +350,7 @@ def get_local_queue(group, version, namespace, plural): return local_queues +@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"}) def test_cluster_creation_no_mcad(mocker): # Create Ray Cluster with no local queue specified mocker.patch("kubernetes.client.ApisApi.get_api_versions") @@ -361,7 +362,6 @@ def test_cluster_creation_no_mcad(mocker): "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), ) - mocker.patch("os.environ.get", return_value="test-prefix") config = createClusterConfig() config.name = "unit-test-cluster-ray" @@ -379,6 +379,7 @@ def test_cluster_creation_no_mcad(mocker): ) +@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"}) def test_cluster_creation_no_mcad_local_queue(mocker): # With written resources # Create Ray Cluster with local queue specified @@ -391,7 +392,6 @@ def test_cluster_creation_no_mcad_local_queue(mocker): "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), ) - mocker.patch("os.environ.get", return_value="test-prefix") config = createClusterConfig() config.name = "unit-test-cluster-ray" config.appwrapper = False @@ -460,6 +460,7 @@ def test_default_cluster_creation(mocker): assert cluster.config.namespace == "opendatahub" +@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"}) def test_cluster_creation_with_custom_image(mocker): # With written resources # Create Ray Cluster with local queue specified @@ -472,7 +473,6 @@ def test_cluster_creation_with_custom_image(mocker): "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"), ) - mocker.patch("os.environ.get", return_value="test-prefix") config = createClusterConfig() config.name = "unit-test-cluster-custom-image" config.appwrapper = False @@ -2170,7 +2170,7 @@ def test_map_to_ray_cluster(mocker): mock_api_client = mocker.MagicMock(spec=client.ApiClient) mocker.patch( - "codeflare_sdk.cluster.auth.api_config_handler", return_value=mock_api_client + "codeflare_sdk.cluster.auth.get_api_client", return_value=mock_api_client ) mock_routes = { From 4fc5482c320d8721b52e974fd26e137ea8e2231e Mon Sep 17 00:00:00 2001 From: ChristianZaccaria Date: Fri, 27 Sep 2024 16:18:54 +0000 Subject: [PATCH 109/254] Changes in docs for release: v0.21.1 --- docs/detailed-documentation/cluster/auth.html | 144 +++++++----------- .../cluster/awload.html | 14 +- .../cluster/cluster.html | 68 ++++----- .../cluster/widgets.html | 4 +- .../utils/generate_cert.html | 6 +- .../utils/generate_yaml.html | 14 +- 6 files changed, 106 insertions(+), 144 deletions(-) diff --git a/docs/detailed-documentation/cluster/auth.html b/docs/detailed-documentation/cluster/auth.html index 61d199e5..d35b4609 100644 --- a/docs/detailed-documentation/cluster/auth.html +++ b/docs/detailed-documentation/cluster/auth.html @@ -126,17 +126,7 @@

    Module codeflare_sdk.cluster.auth

    self.token = token self.server = server self.skip_tls = skip_tls - self.ca_cert_path = self._gen_ca_cert_path(ca_cert_path) - - def _gen_ca_cert_path(self, ca_cert_path: str): - if ca_cert_path is not None: - return ca_cert_path - elif "CF_SDK_CA_CERT_PATH" in os.environ: - return os.environ.get("CF_SDK_CA_CERT_PATH") - elif os.path.exists(WORKBENCH_CA_CERT_PATH): - return WORKBENCH_CA_CERT_PATH - else: - return None + self.ca_cert_path = _gen_ca_cert_path(ca_cert_path) def login(self) -> str: """ @@ -152,25 +142,14 @@

    Module codeflare_sdk.cluster.auth

    configuration.host = self.server configuration.api_key["authorization"] = self.token + api_client = client.ApiClient(configuration) if not self.skip_tls: - if self.ca_cert_path is None: - configuration.ssl_ca_cert = None - elif os.path.isfile(self.ca_cert_path): - print( - f"Authenticated with certificate located at {self.ca_cert_path}" - ) - configuration.ssl_ca_cert = self.ca_cert_path - else: - raise FileNotFoundError( - f"Certificate file not found at {self.ca_cert_path}" - ) - configuration.verify_ssl = True + _client_with_cert(api_client, self.ca_cert_path) else: urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) print("Insecure request warnings have been disabled") configuration.verify_ssl = False - api_client = client.ApiClient(configuration) client.AuthenticationApi(api_client).get_api_group() config_path = None return "Logged into %s" % self.server @@ -244,14 +223,36 @@

    Module codeflare_sdk.cluster.auth

    return config_path -def api_config_handler() -> Optional[client.ApiClient]: - """ - This function is used to load the api client if the user has logged in - """ - if api_client != None and config_path == None: - return api_client +def _client_with_cert(client: client.ApiClient, ca_cert_path: Optional[str] = None): + client.configuration.verify_ssl = True + cert_path = _gen_ca_cert_path(ca_cert_path) + if cert_path is None: + client.configuration.ssl_ca_cert = None + elif os.path.isfile(cert_path): + client.configuration.ssl_ca_cert = cert_path else: - return None + raise FileNotFoundError(f"Certificate file not found at {cert_path}") + + +def _gen_ca_cert_path(ca_cert_path: Optional[str]): + """Gets the path to the default CA certificate file either through env config or default path""" + if ca_cert_path is not None: + return ca_cert_path + elif "CF_SDK_CA_CERT_PATH" in os.environ: + return os.environ.get("CF_SDK_CA_CERT_PATH") + elif os.path.exists(WORKBENCH_CA_CERT_PATH): + return WORKBENCH_CA_CERT_PATH + else: + return None + + +def get_api_client() -> client.ApiClient: + "This function should load the api client with defaults" + if api_client != None: + return api_client + to_return = client.ApiClient() + _client_with_cert(to_return) + return to_return
    • @@ -261,25 +262,6 @@

    Module codeflare_sdk.cluster.auth

    Functions

    -
    -def api_config_handler() ‑> Optional[kubernetes.client.api_client.ApiClient] -
    -
    -

    This function is used to load the api client if the user has logged in

    -
    - -Expand source code - -
    def api_config_handler() -> Optional[client.ApiClient]:
-    """
-    This function is used to load the api client if the user has logged in
-    """
-    if api_client != None and config_path == None:
-        return api_client
-    else:
-        return None
    -
    -
    def config_check() ‑> str
    @@ -318,6 +300,24 @@

    Functions

    return config_path +
    +def get_api_client() ‑> kubernetes.client.api_client.ApiClient +
    +
    +

    This function should load the api client with defaults

    +
    + +Expand source code + +
    def get_api_client() -> client.ApiClient:
+    "This function should load the api client with defaults"
+    if api_client != None:
+        return api_client
+    to_return = client.ApiClient()
+    _client_with_cert(to_return)
+    return to_return
    +
    +
    @@ -573,17 +573,7 @@

    Methods

    self.token = token self.server = server self.skip_tls = skip_tls - self.ca_cert_path = self._gen_ca_cert_path(ca_cert_path) - - def _gen_ca_cert_path(self, ca_cert_path: str): - if ca_cert_path is not None: - return ca_cert_path - elif "CF_SDK_CA_CERT_PATH" in os.environ: - return os.environ.get("CF_SDK_CA_CERT_PATH") - elif os.path.exists(WORKBENCH_CA_CERT_PATH): - return WORKBENCH_CA_CERT_PATH - else: - return None + self.ca_cert_path = _gen_ca_cert_path(ca_cert_path) def login(self) -> str: """ @@ -599,25 +589,14 @@

    Methods

    configuration.host = self.server configuration.api_key["authorization"] = self.token + api_client = client.ApiClient(configuration) if not self.skip_tls: - if self.ca_cert_path is None: - configuration.ssl_ca_cert = None - elif os.path.isfile(self.ca_cert_path): - print( - f"Authenticated with certificate located at {self.ca_cert_path}" - ) - configuration.ssl_ca_cert = self.ca_cert_path - else: - raise FileNotFoundError( - f"Certificate file not found at {self.ca_cert_path}" - ) - configuration.verify_ssl = True + _client_with_cert(api_client, self.ca_cert_path) else: urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) print("Insecure request warnings have been disabled") configuration.verify_ssl = False - api_client = client.ApiClient(configuration) client.AuthenticationApi(api_client).get_api_group() config_path = None return "Logged into %s" % self.server @@ -665,25 +644,14 @@

    Methods

    configuration.host = self.server configuration.api_key["authorization"] = self.token + api_client = client.ApiClient(configuration) if not self.skip_tls: - if self.ca_cert_path is None: - configuration.ssl_ca_cert = None - elif os.path.isfile(self.ca_cert_path): - print( - f"Authenticated with certificate located at {self.ca_cert_path}" - ) - configuration.ssl_ca_cert = self.ca_cert_path - else: - raise FileNotFoundError( - f"Certificate file not found at {self.ca_cert_path}" - ) - configuration.verify_ssl = True + _client_with_cert(api_client, self.ca_cert_path) else: urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning) print("Insecure request warnings have been disabled") configuration.verify_ssl = False - api_client = client.ApiClient(configuration) client.AuthenticationApi(api_client).get_api_group() config_path = None return "Logged into %s" % self.server @@ -729,8 +697,8 @@

    Index

  • Functions

  • Classes

    diff --git a/docs/detailed-documentation/cluster/awload.html b/docs/detailed-documentation/cluster/awload.html index c77ac0e7..fba18e3f 100644 --- a/docs/detailed-documentation/cluster/awload.html +++ b/docs/detailed-documentation/cluster/awload.html @@ -55,7 +55,7 @@

    Module codeflare_sdk.cluster.awload

    from kubernetes import client, config from ..utils.kube_api_helpers import _kube_api_error_handling -from .auth import config_check, api_config_handler +from .auth import config_check, get_api_client class AWManager: @@ -90,7 +90,7 @@

    Module codeflare_sdk.cluster.awload

    """ try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -115,7 +115,7 @@

    Module codeflare_sdk.cluster.awload

    try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -184,7 +184,7 @@

    Classes

    """ try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -209,7 +209,7 @@

    Classes

    try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -246,7 +246,7 @@

    Methods

    try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -276,7 +276,7 @@

    Methods

    """ try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) api_instance.create_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", diff --git a/docs/detailed-documentation/cluster/cluster.html b/docs/detailed-documentation/cluster/cluster.html index 5276ee94..12865c04 100644 --- a/docs/detailed-documentation/cluster/cluster.html +++ b/docs/detailed-documentation/cluster/cluster.html @@ -58,7 +58,7 @@

    Module codeflare_sdk.cluster.cluster

    from kubernetes import config from ray.job_submission import JobSubmissionClient -from .auth import config_check, api_config_handler +from .auth import config_check, get_api_client from ..utils import pretty_print from ..utils.generate_yaml import ( generate_appwrapper, @@ -113,7 +113,7 @@

    Module codeflare_sdk.cluster.cluster

    @property def _client_headers(self): - k8_client = api_config_handler() or client.ApiClient() + k8_client = get_api_client() return { "Authorization": k8_client.configuration.get_api_key_with_prefix( "authorization" @@ -128,7 +128,7 @@

    Module codeflare_sdk.cluster.cluster

    @property def job_client(self): - k8client = api_config_handler() or client.ApiClient() + k8client = get_api_client() if self._job_submission_client: return self._job_submission_client if is_openshift_cluster(): @@ -174,7 +174,7 @@

    Module codeflare_sdk.cluster.cluster

    try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) if self.config.appwrapper: if self.config.write_to_file: with open(self.app_wrapper_yaml) as f: @@ -205,7 +205,7 @@

    Module codeflare_sdk.cluster.cluster

    return _kube_api_error_handling(e) def _throw_for_no_raycluster(self): - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) try: api_instance.list_namespaced_custom_object( group="ray.io", @@ -232,7 +232,7 @@

    Module codeflare_sdk.cluster.cluster

    self._throw_for_no_raycluster() try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) if self.config.appwrapper: api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", @@ -391,7 +391,7 @@

    Module codeflare_sdk.cluster.cluster

    config_check() if is_openshift_cluster(): try: - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) routes = api_instance.list_namespaced_custom_object( group="route.openshift.io", version="v1", @@ -413,7 +413,7 @@

    Module codeflare_sdk.cluster.cluster

    return f"{protocol}://{route['spec']['host']}" else: try: - api_instance = client.NetworkingV1Api(api_config_handler()) + api_instance = client.NetworkingV1Api(get_api_client()) ingresses = api_instance.list_namespaced_ingress(self.config.namespace) except Exception as e: # pragma no cover return _kube_api_error_handling(e) @@ -612,9 +612,6 @@

    Module codeflare_sdk.cluster.cluster

    return active_context except Exception as e: print("Unable to find current namespace") - - if api_config_handler() != None: - return None print("trying to gather from current context") try: _, active_context = config.list_kube_config_contexts(config_check()) @@ -634,7 +631,7 @@

    Module codeflare_sdk.cluster.cluster

    ): try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) rcs = api_instance.list_namespaced_custom_object( group="ray.io", version="v1", @@ -689,7 +686,7 @@

    Module codeflare_sdk.cluster.cluster

    def _check_aw_exists(name: str, namespace: str) -> bool: try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -716,7 +713,7 @@

    Module codeflare_sdk.cluster.cluster

    if is_openshift_cluster(): try: - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) routes = api_instance.list_namespaced_custom_object( group="route.openshift.io", @@ -735,7 +732,7 @@

    Module codeflare_sdk.cluster.cluster

    domain = route["spec"]["host"] else: try: - api_client = client.NetworkingV1Api(api_config_handler()) + api_client = client.NetworkingV1Api(get_api_client()) ingresses = api_client.list_namespaced_ingress(namespace) except Exception as e: # pragma: no cover return _kube_api_error_handling(e) @@ -749,7 +746,7 @@

    Module codeflare_sdk.cluster.cluster

    def _app_wrapper_status(name, namespace="default") -> Optional[AppWrapper]: try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -768,7 +765,7 @@

    Module codeflare_sdk.cluster.cluster

    def _ray_cluster_status(name, namespace="default") -> Optional[RayCluster]: try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) rcs = api_instance.list_namespaced_custom_object( group="ray.io", version="v1", @@ -790,7 +787,7 @@

    Module codeflare_sdk.cluster.cluster

    list_of_clusters = [] try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) rcs = api_instance.list_namespaced_custom_object( group="ray.io", version="v1", @@ -819,7 +816,7 @@

    Module codeflare_sdk.cluster.cluster

    try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) aws = api_instance.list_namespaced_custom_object( group="workload.codeflare.dev", version="v1beta2", @@ -848,7 +845,7 @@

    Module codeflare_sdk.cluster.cluster

    dashboard_url = None if is_openshift_cluster(): try: - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) routes = api_instance.list_namespaced_custom_object( group="route.openshift.io", version="v1", @@ -867,7 +864,7 @@

    Module codeflare_sdk.cluster.cluster

    dashboard_url = f"{protocol}://{route['spec']['host']}" else: try: - api_instance = client.NetworkingV1Api(api_config_handler()) + api_instance = client.NetworkingV1Api(get_api_client()) ingresses = api_instance.list_namespaced_ingress( rc["metadata"]["namespace"] ) @@ -986,7 +983,7 @@

    Functions

    ): try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) rcs = api_instance.list_namespaced_custom_object( group="ray.io", version="v1", @@ -1027,9 +1024,6 @@

    Functions

    return active_context except Exception as e: print("Unable to find current namespace") - - if api_config_handler() != None: - return None print("trying to gather from current context") try: _, active_context = config.list_kube_config_contexts(config_check()) @@ -1135,7 +1129,7 @@

    Classes

    @property def _client_headers(self): - k8_client = api_config_handler() or client.ApiClient() + k8_client = get_api_client() return { "Authorization": k8_client.configuration.get_api_key_with_prefix( "authorization" @@ -1150,7 +1144,7 @@

    Classes

    @property def job_client(self): - k8client = api_config_handler() or client.ApiClient() + k8client = get_api_client() if self._job_submission_client: return self._job_submission_client if is_openshift_cluster(): @@ -1196,7 +1190,7 @@

    Classes

    try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) if self.config.appwrapper: if self.config.write_to_file: with open(self.app_wrapper_yaml) as f: @@ -1227,7 +1221,7 @@

    Classes

    return _kube_api_error_handling(e) def _throw_for_no_raycluster(self): - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) try: api_instance.list_namespaced_custom_object( group="ray.io", @@ -1254,7 +1248,7 @@

    Classes

    self._throw_for_no_raycluster() try: config_check() - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) if self.config.appwrapper: api_instance.delete_namespaced_custom_object( group="workload.codeflare.dev", @@ -1413,7 +1407,7 @@

    Classes

    config_check() if is_openshift_cluster(): try: - api_instance = client.CustomObjectsApi(api_config_handler()) + api_instance = client.CustomObjectsApi(get_api_client()) routes = api_instance.list_namespaced_custom_object( group="route.openshift.io", version="v1", @@ -1435,7 +1429,7 @@

    Classes

    return f"{protocol}://{route['spec']['host']}" else: try: - api_instance = client.NetworkingV1Api(api_config_handler()) + api_instance = client.NetworkingV1Api(get_api_client()) ingresses = api_instance.list_namespaced_ingress(self.config.namespace) except Exception as e: # pragma no cover return _kube_api_error_handling(e) @@ -1606,7 +1600,7 @@

    Instance variables

    @property
 def job_client(self):
-    k8client = api_config_handler() or client.ApiClient()
+    k8client = get_api_client()
     if self._job_submission_client:
         return self._job_submission_client
     if is_openshift_cluster():
@@ -1641,7 +1635,7 @@ 
    Methods
    
     config_check()
     if is_openshift_cluster():
         try:
-            api_instance = client.CustomObjectsApi(api_config_handler())
+            api_instance = client.CustomObjectsApi(get_api_client())
             routes = api_instance.list_namespaced_custom_object(
                 group="route.openshift.io",
                 version="v1",
@@ -1663,7 +1657,7 @@ 
    Methods
    
                 return f"{protocol}://{route['spec']['host']}"
     else:
         try:
-            api_instance = client.NetworkingV1Api(api_config_handler())
+            api_instance = client.NetworkingV1Api(get_api_client())
             ingresses = api_instance.list_namespaced_ingress(self.config.namespace)
         except Exception as e:  # pragma no cover
             return _kube_api_error_handling(e)
@@ -1762,7 +1756,7 @@ 
    Methods
    
     self._throw_for_no_raycluster()
     try:
         config_check()
-        api_instance = client.CustomObjectsApi(api_config_handler())
+        api_instance = client.CustomObjectsApi(get_api_client())
         if self.config.appwrapper:
             api_instance.delete_namespaced_custom_object(
                 group="workload.codeflare.dev",
@@ -2046,7 +2040,7 @@ 
    Methods
    
 
     try:
         config_check()
-        api_instance = client.CustomObjectsApi(api_config_handler())
+        api_instance = client.CustomObjectsApi(get_api_client())
         if self.config.appwrapper:
             if self.config.write_to_file:
                 with open(self.app_wrapper_yaml) as f:
diff --git a/docs/detailed-documentation/cluster/widgets.html b/docs/detailed-documentation/cluster/widgets.html
index e07fa2ea..b0334903 100644
--- a/docs/detailed-documentation/cluster/widgets.html
+++ b/docs/detailed-documentation/cluster/widgets.html
@@ -58,7 +58,7 @@ 
    Module codeflare_sdk.cluster.widgets
    
 from .config import ClusterConfiguration
 from .model import RayClusterStatus
 from ..utils.kube_api_helpers import _kube_api_error_handling
-from .auth import config_check, api_config_handler
+from .auth import config_check, get_api_client
 
 
 def cluster_up_down_buttons(cluster: "codeflare_sdk.cluster.Cluster") -> widgets.Button:
@@ -372,7 +372,7 @@ 
    Module codeflare_sdk.cluster.widgets
    
 
     try:
         config_check()
-        api_instance = client.CustomObjectsApi(api_config_handler())
+        api_instance = client.CustomObjectsApi(get_api_client())
 
         if _check_aw_exists(cluster_name, namespace):
             api_instance.delete_namespaced_custom_object(
diff --git a/docs/detailed-documentation/utils/generate_cert.html b/docs/detailed-documentation/utils/generate_cert.html
index 176584c4..01084d84 100644
--- a/docs/detailed-documentation/utils/generate_cert.html
+++ b/docs/detailed-documentation/utils/generate_cert.html
@@ -47,7 +47,7 @@ 
    Module codeflare_sdk.utils.generate_cert
    
 from cryptography import x509
 from cryptography.x509.oid import NameOID
 import datetime
-from ..cluster.auth import config_check, api_config_handler
+from ..cluster.auth import config_check, get_api_client
 from kubernetes import client, config
 from .kube_api_helpers import _kube_api_error_handling
 
@@ -131,7 +131,7 @@ 
    Module codeflare_sdk.utils.generate_cert
    
     # oc get secret ca-secret-<cluster-name> -o template='{{index .data "ca.key"}}'
     # oc get secret ca-secret-<cluster-name> -o template='{{index .data "ca.crt"}}'|base64 -d > ${TLSDIR}/ca.crt
     config_check()
-    v1 = client.CoreV1Api(api_config_handler())
+    v1 = client.CoreV1Api(get_api_client())
 
     # Secrets have a suffix appended to the end so we must list them and gather the secret that includes cluster_name-ca-secret-
     secret_name = get_secret_name(cluster_name, namespace, v1)
@@ -316,7 +316,7 @@ 
    Functions
    
     # oc get secret ca-secret-<cluster-name> -o template='{{index .data "ca.key"}}'
     # oc get secret ca-secret-<cluster-name> -o template='{{index .data "ca.crt"}}'|base64 -d > ${TLSDIR}/ca.crt
     config_check()
-    v1 = client.CoreV1Api(api_config_handler())
+    v1 = client.CoreV1Api(get_api_client())
 
     # Secrets have a suffix appended to the end so we must list them and gather the secret that includes cluster_name-ca-secret-
     secret_name = get_secret_name(cluster_name, namespace, v1)
diff --git a/docs/detailed-documentation/utils/generate_yaml.html b/docs/detailed-documentation/utils/generate_yaml.html
index 60ce89df..c2a7bb34 100644
--- a/docs/detailed-documentation/utils/generate_yaml.html
+++ b/docs/detailed-documentation/utils/generate_yaml.html
@@ -58,7 +58,7 @@ 
    Module codeflare_sdk.utils.generate_yaml
    
 import uuid
 from kubernetes import client, config
 from .kube_api_helpers import _kube_api_error_handling
-from ..cluster.auth import api_config_handler, config_check
+from ..cluster.auth import get_api_client, config_check
 from os import urandom
 from base64 import b64encode
 from urllib3.util import parse_url
@@ -88,7 +88,7 @@ 
    Module codeflare_sdk.utils.generate_yaml
    
 def is_openshift_cluster():
     try:
         config_check()
-        for api in client.ApisApi(api_config_handler()).get_api_versions().groups:
+        for api in client.ApisApi(get_api_client()).get_api_versions().groups:
             for v in api.versions:
                 if "route.openshift.io/v1" in v.group_version:
                     return True
@@ -266,7 +266,7 @@ 
    Module codeflare_sdk.utils.generate_yaml
    
     # If the local queue is set, use it. Otherwise, try to use the default queue.
     try:
         config_check()
-        api_instance = client.CustomObjectsApi(api_config_handler())
+        api_instance = client.CustomObjectsApi(get_api_client())
         local_queues = api_instance.list_namespaced_custom_object(
             group="kueue.x-k8s.io",
             version="v1beta1",
@@ -292,7 +292,7 @@ 
    Module codeflare_sdk.utils.generate_yaml
    
     # get all local queues in the namespace
     try:
         config_check()
-        api_instance = client.CustomObjectsApi(api_config_handler())
+        api_instance = client.CustomObjectsApi(get_api_client())
         local_queues = api_instance.list_namespaced_custom_object(
             group="kueue.x-k8s.io",
             version="v1beta1",
@@ -514,7 +514,7 @@ 
    Functions
    
     # If the local queue is set, use it. Otherwise, try to use the default queue.
     try:
         config_check()
-        api_instance = client.CustomObjectsApi(api_config_handler())
+        api_instance = client.CustomObjectsApi(get_api_client())
         local_queues = api_instance.list_namespaced_custom_object(
             group="kueue.x-k8s.io",
             version="v1beta1",
@@ -627,7 +627,7 @@ 
    Functions
    
 
    def is_openshift_cluster():
     try:
         config_check()
-        for api in client.ApisApi(api_config_handler()).get_api_versions().groups:
+        for api in client.ApisApi(get_api_client()).get_api_versions().groups:
             for v in api.versions:
                 if "route.openshift.io/v1" in v.group_version:
                     return True
@@ -650,7 +650,7 @@ 
    Functions
    
     # get all local queues in the namespace
     try:
         config_check()
-        api_instance = client.CustomObjectsApi(api_config_handler())
+        api_instance = client.CustomObjectsApi(get_api_client())
         local_queues = api_instance.list_namespaced_custom_object(
             group="kueue.x-k8s.io",
             version="v1beta1",

From 52f20a49694feab4507b7fd3e9ce4ff570aa13f0 Mon Sep 17 00:00:00 2001
From: Jiri Petrlik 
Date: Mon, 30 Sep 2024 11:52:11 +0200
Subject: [PATCH 110/254] Delete custom notebook image (#683)

We stoped building this image. I think we can delete it completely.
---
 .github/workflows/nightly-image-build.yaml    |  50 -----
 README.md                                     |   6 -
 custom-nb-image/Dockerfile                    |  31 ---
 custom-nb-image/imagestream.yaml              |  36 ---
 custom-nb-image/requirements/requirements.txt | 205 ------------------
 5 files changed, 328 deletions(-)
 delete mode 100644 .github/workflows/nightly-image-build.yaml
 delete mode 100644 custom-nb-image/Dockerfile
 delete mode 100644 custom-nb-image/imagestream.yaml
 delete mode 100644 custom-nb-image/requirements/requirements.txt

diff --git a/.github/workflows/nightly-image-build.yaml b/.github/workflows/nightly-image-build.yaml
deleted file mode 100644
index 4b033c70..00000000
--- a/.github/workflows/nightly-image-build.yaml
+++ /dev/null
@@ -1,50 +0,0 @@
-name: Nightly Image Build
-
-on:
-    workflow_dispatch:
-    push:
-      branches:
-        - main
-
-env:
-    PYTHON_VERSION: 3.8
-    POETRY_VERSION: 1.8.3
-    QUAY_ORGANIZATION: 'project-codeflare'
-    SDK_FILE: 'codeflare_sdk-0.0.0.dev0.tar.gz'
-    IMAGE_TAG: 'dev'
-
-jobs:
-    nightly-build:
-        runs-on: ubuntu-latest
-        steps:
-            - name: Checkout the repository
-              uses: actions/checkout@v4
-            - name: Install Python
-              uses: actions/setup-python@v5
-              with:
-                python-version: ${{ env.PYTHON_VERSION }}
-            - name: Install Poetry
-              uses: abatilo/actions-poetry@v2
-              with:
-                poetry-version: ${{ env.POETRY_VERSION }}
-            - name: Run poetry install
-              run: poetry install --with docs
-            - name: Run poetry build
-              run: poetry build
-            - name: Copy SDK package
-              run: cp dist/${SDK_FILE} custom-nb-image
-            - name: Modify Dockerfile to use locally built SDK
-              run: |
-                sed -i "s/ARG SDK_VERSION=.*/COPY ${{ env.SDK_FILE }} ./" custom-nb-image/Dockerfile
-                sed -i "s/codeflare-sdk==.*/${{ env.SDK_FILE }}\\\\/" custom-nb-image/Dockerfile
-            - name: Image Build
-              working-directory: custom-nb-image
-              run: docker build -t quay.io/${{ env.QUAY_ORGANIZATION }}/notebook:${{ env.IMAGE_TAG }} .
-            - name: Login to Quay.io
-              uses: docker/login-action@v3
-              with:
-                registry: quay.io
-                username: ${{ secrets.QUAY_ID }}
-                password: ${{ secrets.QUAY_TOKEN }}
-            - name: Image Push
-              run: docker push quay.io/${{ env.QUAY_ORGANIZATION }}/notebook:${{ env.IMAGE_TAG }}
diff --git a/README.md b/README.md
index a98f542c..e166b4f5 100644
--- a/README.md
+++ b/README.md
@@ -40,9 +40,3 @@ The following instructions apply when doing release manually. This may be requir
 - If not present already, add the API token to Poetry.
 `poetry config pypi-token.pypi API_TOKEN`
 - Publish the Python package. `poetry publish`
-- Change directory to custom-nb-image. `cd custom-nb-image`
-- Set tag `export tag=TAG`
-- Build the container image. `podman build --build-arg SDK_VERSION= -t quay.io/project-codeflare/notebook:${tag} .`
-- Login to quay.io. `podman login quay.io`
-- Push the image. `podman push quay.io/project-codeflare/notebook:${tag}`
-- Push the stable image tag `podman push quay.io/project-codeflare/notebook:${tag} quay.io/project-codeflare/notebook:stable`
diff --git a/custom-nb-image/Dockerfile b/custom-nb-image/Dockerfile
deleted file mode 100644
index fca83e25..00000000
--- a/custom-nb-image/Dockerfile
+++ /dev/null
@@ -1,31 +0,0 @@
-# Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-FROM  quay.io/opendatahub/notebooks:jupyter-minimal-ubi9-python-3.9-2023a_20230302
-
-COPY requirements/requirements.txt requirements.txt
-
-RUN pip install -r requirements.txt
-
-RUN pip uninstall pickle5 -y
-
-# Install codeflare-sdk and other libraries
-ARG SDK_VERSION=0.*
-RUN pip install codeflare-sdk==${SDK_VERSION} \
-				datasets==2.6.1 \
-				transformers==4.23.1 \
-				evaluate==0.3.0
-
-RUN chmod -R g+w /opt/app-root/lib/python3.9/site-packages && \
-	fix-permissions /opt/app-root -P
diff --git a/custom-nb-image/imagestream.yaml b/custom-nb-image/imagestream.yaml
deleted file mode 100644
index 833a42fd..00000000
--- a/custom-nb-image/imagestream.yaml
+++ /dev/null
@@ -1,36 +0,0 @@
-# Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-kind: ImageStream
-apiVersion: image.openshift.io/v1
-metadata:
-  name: codeflare-notebook
-  labels:
-    opendatahub.io/notebook-image: 'true'
-  annotations:
-    opendatahub.io/notebook-image-name:
-      "CodeFlare Notebook"
-    opendatahub.io/notebook-image-desc: "Custom Jupyter notebook image with CodeFlare SDK, Python 3.9, Ray 2.7.0 and PyTorch 1.12.1"
-spec:
-  lookupPolicy:
-    local: true
-  tags:
-    - annotations:
-        openshift.io/imported-from: quay.io/project-codeflare/notebook
-      name: latest
-      from:
-        kind: DockerImage
-        name: quay.io/project-codeflare/notebook:latest
-      importPolicy:
-        scheduled: true
diff --git a/custom-nb-image/requirements/requirements.txt b/custom-nb-image/requirements/requirements.txt
deleted file mode 100644
index 35b5d559..00000000
--- a/custom-nb-image/requirements/requirements.txt
+++ /dev/null
@@ -1,205 +0,0 @@
-#
-# These requirements were autogenerated by pipenv
-# To regenerate from the project's Pipfile, run:
-#
-#    pipenv lock --requirements
-#
-
--i https://pypi.org/simple
-aiohttp-cors==0.7.0
-aiohttp==3.8.3
-aiorwlock==1.3.0
-aiosignal==1.2.0; python_version >= '3.6'
-anyio==3.6.1; python_full_version >= '3.6.2'
-argon2-cffi-bindings==21.2.0; python_version >= '3.6'
-argon2-cffi==21.3.0; python_version >= '3.6'
-asgiref==3.5.2; python_version >= '3.7'
-asttokens==2.0.8
-astunparse==1.6.3
-async-timeout==4.0.2; python_version >= '3.6'
-attrs==22.1.0; python_version >= '3.5'
-babel==2.10.3; python_version >= '3.6'
-backcall==0.2.0
-bcrypt==4.0.0; python_version >= '3.6'
-beautifulsoup4==4.11.1; python_version >= '3.6'
-black==22.8.0; python_full_version >= '3.6.2'
-bleach==5.0.1; python_version >= '3.7'
-blessed==1.19.1; python_version >= '2.7'
-boto3==1.17.11
-botocore==1.20.112; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'
-cachetools==5.2.0; python_version ~= '3.7'
-certifi==2022.9.24; python_version >= '3.6'
-cffi==1.15.1
-charset-normalizer==2.1.1; python_version >= '3.6'
-click==8.0.4; python_version >= '3.6'
-cloudpickle==2.2.0; python_version >= '3.6'
-codeflare==0.1.2.dev0
-colorama==0.4.5; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'
-colorful==0.5.4
-contourpy==1.0.5; python_version >= '3.7'
-cryptography==38.0.1; python_version >= '3.6'
-cycler==0.11.0; python_version >= '3.6'
-cython==0.29.32
-dask[array,dataframe]==2021.2.0
-dataclasses==0.6
-debugpy==1.6.3; python_version >= '3.7'
-decorator==5.1.1; python_version >= '3.5'
-defusedxml==0.7.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'
-distlib==0.3.6
-entrypoints==0.4; python_version >= '3.6'
-executing==1.1.0
-fastapi==0.85.0
-fastjsonschema==2.16.2
-filelock==3.8.0; python_version >= '3.7'
-flatbuffers==22.9.24
-fonttools==4.37.3; python_version >= '3.7'
-frozenlist==1.3.1; python_version >= '3.7'
-fsspec==2022.8.2
-future==0.18.2; python_version >= '2.6' and python_version not in '3.0, 3.1, 3.2, 3.3'
-gitdb==4.0.9; python_version >= '3.6'
-gitpython==3.1.27; python_version >= '3.7'
-google-api-core==2.10.1; python_version >= '3.6'
-google-auth==2.12.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5'
-googleapis-common-protos==1.56.4; python_version >= '3.7'
-gpustat==1.0.0
-graphviz==0.20.1; python_version >= '3.7'
-greenery==3.3.3
-grpcio==1.43.0; python_version >= '3.6'
-h11==0.14.0; python_version >= '3.7'
-hyperopt==0.2.5
-idna==3.4; python_version >= '3.5'
-importlib-metadata==4.12.0; python_version < '3.10'
-importlib-resources==5.9.0; python_version < '3.9'
-ipykernel==6.16.0; python_version >= '3.7'
-ipython-genutils==0.2.0
-ipython==8.5.0; python_version >= '3.8'
-ipywidgets==8.0.2
-iso8601==1.1.0; python_version < '4' and python_full_version >= '3.6.2'
-jedi==0.18.1; python_version >= '3.6'
-jinja2==3.1.2; python_version >= '3.7'
-jmespath==0.10.0; python_version >= '2.6' and python_version not in '3.0, 3.1, 3.2, 3.3'
-joblib==1.2.0; python_version >= '3.7'
-json5==0.9.10
-jsonref==0.2
-jsonschema==4.16.0; python_version >= '3.7'
-jsonsubschema==0.0.6
-jupyter-client==7.3.5; python_version >= '3.7'
-jupyter-core==4.11.1; python_version >= '3.7'
-jupyter-server-mathjax==0.2.6; python_version >= '3.7'
-jupyter-server==1.19.1; python_version >= '3.7'
-jupyterlab-git==0.30.0
-jupyterlab-pygments==0.2.2; python_version >= '3.7'
-jupyterlab-s3-browser==0.10.1
-jupyterlab-server==2.15.2; python_version >= '3.7'
-jupyterlab-widgets==3.0.3; python_version >= '3.7'
-jupyterlab==3.4.7; python_version >= '3.7'
-kiwisolver==1.4.4; python_version >= '3.7'
-kopf==1.35.6
-kubernetes==24.2.0
-lale==0.6.19
-locket==1.0.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'
-lxml==4.9.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'
-markupsafe==2.1.1; python_version >= '3.7'
-matplotlib-inline==0.1.6; python_version >= '3.5'
-matplotlib==3.6.0
-memory-profiler==0.60.0
-mistune==2.0.4
-msgpack==1.0.4
-multidict==6.0.2; python_version >= '3.7'
-mypy-extensions==0.4.3
-nbclassic==0.4.3; python_version >= '3.7'
-nbclient==0.6.8; python_version >= '3.7'
-nbconvert==7.0.0; python_version >= '3.7'
-nbdime==3.1.1; python_version >= '3.6'
-nbformat==5.6.1; python_version >= '3.7'
-nest-asyncio==1.5.5; python_version >= '3.5'
-networkx==2.8.6; python_version >= '3.8'
-notebook-shim==0.1.0; python_version >= '3.7'
-notebook==6.4.12; python_version >= '3.7'
-numpy==1.23.3
-nvidia-ml-py==11.495.46
-oauthlib==3.2.1; python_version >= '3.6'
-opencensus-context==0.1.3
-opencensus==0.11.0
-openshift-client==1.0.18
-packaging==21.3
-pandas==1.5.0
-pandocfilters==1.5.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'
-paramiko==2.11.0
-parso==0.8.3; python_version >= '3.6'
-partd==1.3.0
-pathspec==0.10.1; python_version >= '3.7'
-pexpect==4.8.0; sys_platform != 'win32'
-pickleshare==0.7.5
-pillow==9.2.0; python_version >= '3.7'
-pkgutil-resolve-name==1.3.10; python_version < '3.9'
-platformdirs==2.5.2; python_version >= '3.7'
-portion==2.3.0; python_version ~= '3.6'
-prometheus-client==0.13.1
-prompt-toolkit==3.0.31; python_full_version >= '3.6.2'
-protobuf==3.20.1; python_version >= '3.7'
-psutil==5.9.2; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'
-ptyprocess==0.7.0; os_name != 'nt'
-pure-eval==0.2.2
-py-spy==0.3.14
-pyarrow==6.0.1
-pyasn1-modules==0.2.8
-pyasn1==0.4.8
-pycparser==2.21
-pydantic==1.10.2; python_version >= '3.7'
-pygments==2.13.0; python_version >= '3.6'
-pynacl==1.5.0; python_version >= '3.6'
-pyparsing==3.0.9; python_full_version >= '3.6.8'
-pyrsistent==0.18.1; python_version >= '3.7'
-python-dateutil==2.8.2; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'
-python-dotenv==0.21.0
-python-json-logger==2.0.4; python_version >= '3.5'
-pytz==2022.2.1
-pyyaml==6.0; python_version >= '3.6'
-pyzmq==24.0.1; python_version >= '3.6'
-ray[default]==2.5.0
-requests-oauthlib==1.3.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'
-requests==2.28.1; python_version >= '3.7' and python_version < '4'
-rsa==4.9; python_version >= '3.6'
-s3fs==0.3.4
-s3transfer==0.3.7
-scikit-learn==1.1.1
-scipy==1.8.1
-send2trash==1.8.0
-singleton-decorator==1.0.0
-six==1.16.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'
-sklearn==0.0
-smart-open==6.2.0
-smmap==5.0.0; python_version >= '3.6'
-sniffio==1.3.0; python_version >= '3.7'
-sortedcontainers==2.4.0
-soupsieve==2.3.2.post1; python_version >= '3.6'
-stack-data==0.5.1
-starlette==0.20.4
-tabulate==0.8.10
-tensorboardx==2.5.1
-terminado==0.15.0; python_version >= '3.7'
-threadpoolctl==3.1.0; python_version >= '3.6'
-tinycss2==1.1.1; python_version >= '3.6'
-tomli==2.0.1; python_full_version < '3.11.0a7'
-toolz==0.12.0
-torch==1.12.1
-torchvision==0.13.1
-tornado==6.2; python_version >= '3.7'
-tqdm==4.64.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'
-traitlets==5.4.0; python_version >= '3.7'
-tune-sklearn==0.4.3
-typing-extensions==4.3.0; python_version < '3.10'
-urllib3==1.26.12
-uvicorn==0.16.0
-virtualenv==20.16.5; python_version >= '3.6'
-wcwidth==0.2.5
-webencodings==0.5.1
-websocket-client==1.4.1; python_version >= '3.7'
-wheel==0.37.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'
-widgetsnbextension==4.0.3; python_version >= '3.7'
-wrapt==1.14.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'
-xgboost-ray==0.1.10
-xgboost==1.6.2
-yarl==1.8.1; python_version >= '3.7'
-zipp==3.8.1; python_version < '3.10'

From bdedaff807e4906d6ff000ff3c6c0c65e40e298f Mon Sep 17 00:00:00 2001
From: Jan Stourac 
Date: Sat, 28 Sep 2024 13:06:56 +0200
Subject: [PATCH 111/254] Fix for the odh-notebook-sync workflow.

This is a followup of #655 where the Pipfile.cpu and Pipfile.gpu support
was broken. Apart from that - the array initialization was fixed and the
link to this workflow is added to the raised PR description.
---
 .github/workflows/odh-notebooks-sync.yml | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml
index 80337fe0..f1a9e0fe 100644
--- a/.github/workflows/odh-notebooks-sync.yml
+++ b/.github/workflows/odh-notebooks-sync.yml
@@ -55,12 +55,12 @@ jobs:
       - name: Update Pipfiles in accordance with Codeflare-SDK latest release
         run: |
           package_name=codeflare-sdk
-          available_python_versions=("3.9", "3.11") # add space separated python versions according to 'python-versions' specified in 'Setup Python Environment' step
+          available_python_versions=("3.9" "3.11") # add space separated python versions according to 'python-versions' specified in 'Setup Python Environment' step
           install_package_using_pipenv(){
             # args allow custom names for Pipfile and Pipfile.lock
-            if $# -eq 2; then
-              mv $1 Pipfile
-              mv $2 Pipfile.lock
+            if [ $# -eq 2 ]; then
+              mv "${1}" Pipfile
+              mv "${2}" Pipfile.lock
             fi
             if ! pipenv install ${package_name}~="${CODEFLARE_RELEASE_VERSION}"; then
               echo "Failed to install ${package_name} with version ${CODEFLARE_RELEASE_VERSION} in $dir"
@@ -76,9 +76,9 @@ jobs:
               echo "Failed to remove virtual environment"
               exit 1
             fi
-            if $# -eq 2; then
-              mv Pipfile $1
-              mv Pipfile.lock $2
+            if [ $# -eq 2 ]; then
+              mv Pipfile "${1}"
+              mv Pipfile.lock "${2}"
             fi
           }
           # Get the list of available versions for the package
@@ -153,6 +153,6 @@ jobs:
         env:
           pr_title: "[Codeflare Action] Update notebook's pipfile to sync with Codeflare-SDK release ${{ env.CODEFLARE_RELEASE_VERSION }}"
           pr_body: |
-            :rocket: This is an automated Pull Request.
+            :rocket: This is an automated Pull Request generated by [odh-notebooks-sync.yml](https://github.com/project-codeflare/codeflare-sdk/blob/main/.github/workflows/odh-notebooks-sync.yml) workflow.
 
             This PR updates the `Pipfile` to sync with latest Codeflare-SDK release.

From dc4f2f1eb76f105366fb642954b9c65a959ef785 Mon Sep 17 00:00:00 2001
From: Kevin 
Date: Fri, 27 Sep 2024 13:56:46 -0400
Subject: [PATCH 112/254] remove installation of packages in nb sync

Signed-off-by: Kevin 
---
 .github/workflows/odh-notebooks-sync.yml | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml
index f1a9e0fe..d31a49f5 100644
--- a/.github/workflows/odh-notebooks-sync.yml
+++ b/.github/workflows/odh-notebooks-sync.yml
@@ -62,10 +62,8 @@ jobs:
               mv "${1}" Pipfile
               mv "${2}" Pipfile.lock
             fi
-            if ! pipenv install ${package_name}~="${CODEFLARE_RELEASE_VERSION}"; then
-              echo "Failed to install ${package_name} with version ${CODEFLARE_RELEASE_VERSION} in $dir"
-              exit 1
-            fi
+            # replace existing version of cf-sdk with new version in Pipfile
+            sed -i "s/codeflare-sdk = .*$/codeflare-sdk = \"~=$CODEFLARE_RELEASE_VERSION\"/g" Pipfile
             # Lock dependencies, ensuring pre-release are included and clear previous state
             if ! pipenv lock --pre --clear ; then
               echo "Failed to lock dependencies"

From 932b925e2ff0afab96c43f536d620d45489aa074 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Tue, 1 Oct 2024 12:59:55 +0100
Subject: [PATCH 113/254] Use default image in UI notebook tests

---
 .github/workflows/ui_notebooks_test.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/ui_notebooks_test.yaml b/.github/workflows/ui_notebooks_test.yaml
index 5e8d506d..283486e6 100644
--- a/.github/workflows/ui_notebooks_test.yaml
+++ b/.github/workflows/ui_notebooks_test.yaml
@@ -86,7 +86,7 @@ jobs:
           jq -r 'del(.cells[] | select(.source[] | contains("Create authentication object for user permissions")))' 3_widget_example.ipynb > 3_widget_example.ipynb.tmp && mv 3_widget_example.ipynb.tmp 3_widget_example.ipynb
           jq -r 'del(.cells[] | select(.source[] | contains("auth.logout()")))' 3_widget_example.ipynb > 3_widget_example.ipynb.tmp && mv 3_widget_example.ipynb.tmp 3_widget_example.ipynb
           # Set explicit namespace as SDK need it (currently) to resolve local queues
-          sed -i "s|head_memory_limits=2,|head_memory_limits=2, namespace='default', image='quay.io/modh/ray:2.35.0-py39-cu121',|" 3_widget_example.ipynb
+          sed -i "s|head_memory_limits=2,|head_memory_limits=2, namespace='default',|" 3_widget_example.ipynb
           sed -i "s|view_clusters()|view_clusters('default')|" 3_widget_example.ipynb
         working-directory: demo-notebooks/guided-demos
 

From 730b0ed7c584975cea1f53f5ba4082dc29d136ca Mon Sep 17 00:00:00 2001
From: Varsha Prasad Narsing 
Date: Mon, 30 Sep 2024 14:28:26 -0700
Subject: [PATCH 114/254] [Part-1] Refactor k8s related code into a separate
 module

This commit is first of the chain in refactoring the cluster/
package.
---
 .gitignore                                    |   1 +
 poetry.lock                                   | 495 +++++++++---------
 src/codeflare_sdk.egg-info/SOURCES.txt        |   6 +-
 src/codeflare_sdk/__init__.py                 |  11 +-
 src/codeflare_sdk/cluster/__init__.py         |   7 -
 src/codeflare_sdk/cluster/awload.py           |   9 +-
 src/codeflare_sdk/cluster/cluster.py          |  13 +-
 src/codeflare_sdk/cluster/widgets.py          |   7 +-
 src/codeflare_sdk/common/__init__.py          |   8 +
 .../common/kubernetes_cluster/__init__.py     |  10 +
 .../kubernetes_cluster}/auth.py               |   2 +-
 .../kubernetes_cluster}/kube_api_helpers.py   |   0
 src/codeflare_sdk/utils/generate_cert.py      |   9 +-
 src/codeflare_sdk/utils/generate_yaml.py      |  14 +-
 tests/e2e/support.py                          |   4 +-
 tests/unit_test.py                            |  25 +-
 .../raycluster_sdk_upgrade_sleep_test.py      |   2 +-
 tests/upgrade/raycluster_sdk_upgrade_test.py  |   2 +-
 18 files changed, 331 insertions(+), 294 deletions(-)
 create mode 100644 src/codeflare_sdk/common/__init__.py
 create mode 100644 src/codeflare_sdk/common/kubernetes_cluster/__init__.py
 rename src/codeflare_sdk/{cluster => common/kubernetes_cluster}/auth.py (99%)
 rename src/codeflare_sdk/{utils => common/kubernetes_cluster}/kube_api_helpers.py (100%)

diff --git a/.gitignore b/.gitignore
index c089dfc6..2940f885 100644
--- a/.gitignore
+++ b/.gitignore
@@ -12,3 +12,4 @@ node_modules
 .DS_Store
 ui-tests/playwright-report
 ui-tests/test-results
+/src/codeflare_sdk.egg-info/
diff --git a/poetry.lock b/poetry.lock
index 3d68e4a8..3b65c16b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,114 +1,114 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.2"
+version = "2.4.3"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "aiohappyeyeballs-2.4.2-py3-none-any.whl", hash = "sha256:8522691d9a154ba1145b157d6d5c15e5c692527ce6a53c5e5f9876977f6dab2f"},
-    {file = "aiohappyeyeballs-2.4.2.tar.gz", hash = "sha256:4ca893e6c5c1f5bf3888b04cb5a3bee24995398efef6e0b9f747b5e89d84fd74"},
+    {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
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 [package.dependencies]
@@ -1121,61 +1121,70 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
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 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
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-
-[package.extras]
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 name = "h11"
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 [[package]]
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+    {file = "yarl-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c8854b9f80693d20cec797d8e48a848c2fb273eb6f2587b57763ccba3f3bd4b"},
+    {file = "yarl-1.13.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bbf2c3f04ff50f16404ce70f822cdc59760e5e2d7965905f0e700270feb2bbfc"},
+    {file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:fb9f59f3848edf186a76446eb8bcf4c900fe147cb756fbbd730ef43b2e67c6a7"},
+    {file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:ef9b85fa1bc91c4db24407e7c4da93a5822a73dd4513d67b454ca7064e8dc6a3"},
+    {file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:098b870c18f1341786f290b4d699504e18f1cd050ed179af8123fd8232513424"},
+    {file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:8c723c91c94a3bc8033dd2696a0f53e5d5f8496186013167bddc3fb5d9df46a3"},
+    {file = "yarl-1.13.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:44a4c40a6f84e4d5955b63462a0e2a988f8982fba245cf885ce3be7618f6aa7d"},
+    {file = "yarl-1.13.1-cp39-cp39-win32.whl", hash = "sha256:84bbcdcf393139f0abc9f642bf03f00cac31010f3034faa03224a9ef0bb74323"},
+    {file = "yarl-1.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:fc2931ac9ce9c61c9968989ec831d3a5e6fcaaff9474e7cfa8de80b7aff5a093"},
+    {file = "yarl-1.13.1-py3-none-any.whl", hash = "sha256:6a5185ad722ab4dd52d5fb1f30dcc73282eb1ed494906a92d1a228d3f89607b0"},
+    {file = "yarl-1.13.1.tar.gz", hash = "sha256:ec8cfe2295f3e5e44c51f57272afbd69414ae629ec7c6b27f5a410efc78b70a0"},
 ]
 
 [package.dependencies]
diff --git a/src/codeflare_sdk.egg-info/SOURCES.txt b/src/codeflare_sdk.egg-info/SOURCES.txt
index 63614a81..53043edf 100644
--- a/src/codeflare_sdk.egg-info/SOURCES.txt
+++ b/src/codeflare_sdk.egg-info/SOURCES.txt
@@ -7,17 +7,19 @@ src/codeflare_sdk.egg-info/SOURCES.txt
 src/codeflare_sdk.egg-info/dependency_links.txt
 src/codeflare_sdk.egg-info/top_level.txt
 src/codeflare_sdk/cluster/__init__.py
-src/codeflare_sdk/cluster/auth.py
 src/codeflare_sdk/cluster/awload.py
 src/codeflare_sdk/cluster/cluster.py
 src/codeflare_sdk/cluster/config.py
 src/codeflare_sdk/cluster/model.py
 src/codeflare_sdk/cluster/widgets.py
+src/codeflare_sdk/common/__init__.py
+src/codeflare_sdk/common/kubernetes_cluster/__init__.py
+src/codeflare_sdk/common/kubernetes_cluster/auth.py
+src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py
 src/codeflare_sdk/job/__init__.py
 src/codeflare_sdk/job/ray_jobs.py
 src/codeflare_sdk/utils/__init__.py
 src/codeflare_sdk/utils/demos.py
 src/codeflare_sdk/utils/generate_cert.py
 src/codeflare_sdk/utils/generate_yaml.py
-src/codeflare_sdk/utils/kube_api_helpers.py
 src/codeflare_sdk/utils/pretty_print.py
diff --git a/src/codeflare_sdk/__init__.py b/src/codeflare_sdk/__init__.py
index 29205a36..ba191bc5 100644
--- a/src/codeflare_sdk/__init__.py
+++ b/src/codeflare_sdk/__init__.py
@@ -1,8 +1,4 @@
 from .cluster import (
-    Authentication,
-    KubeConfiguration,
-    TokenAuthentication,
-    KubeConfigFileAuthentication,
     AWManager,
     Cluster,
     ClusterConfiguration,
@@ -17,6 +13,13 @@
     view_clusters,
 )
 
+from .common import (
+    Authentication,
+    KubeConfiguration,
+    TokenAuthentication,
+    KubeConfigFileAuthentication,
+)
+
 from .job import RayJobClient
 
 from .utils import generate_cert
diff --git a/src/codeflare_sdk/cluster/__init__.py b/src/codeflare_sdk/cluster/__init__.py
index 6490a224..5be1c9a5 100644
--- a/src/codeflare_sdk/cluster/__init__.py
+++ b/src/codeflare_sdk/cluster/__init__.py
@@ -1,10 +1,3 @@
-from .auth import (
-    Authentication,
-    KubeConfiguration,
-    TokenAuthentication,
-    KubeConfigFileAuthentication,
-)
-
 from .model import (
     RayClusterStatus,
     AppWrapperStatus,
diff --git a/src/codeflare_sdk/cluster/awload.py b/src/codeflare_sdk/cluster/awload.py
index 1ead5914..e840c1ca 100644
--- a/src/codeflare_sdk/cluster/awload.py
+++ b/src/codeflare_sdk/cluster/awload.py
@@ -22,9 +22,12 @@
 import os
 import yaml
 
-from kubernetes import client, config
-from ..utils.kube_api_helpers import _kube_api_error_handling
-from .auth import config_check, get_api_client
+from kubernetes import client
+from ..common import _kube_api_error_handling
+from ..common.kubernetes_cluster.auth import (
+    config_check,
+    get_api_client,
+)
 
 
 class AWManager:
diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/cluster/cluster.py
index 44effda7..77308245 100644
--- a/src/codeflare_sdk/cluster/cluster.py
+++ b/src/codeflare_sdk/cluster/cluster.py
@@ -18,21 +18,21 @@
 cluster setup queue, a list of all existing clusters, and the user's working namespace.
 """
 
-import re
-import subprocess
 from time import sleep
 from typing import List, Optional, Tuple, Dict
 
-from kubernetes import config
 from ray.job_submission import JobSubmissionClient
 
-from .auth import config_check, get_api_client
+from ..common.kubernetes_cluster.auth import (
+    config_check,
+    get_api_client,
+)
 from ..utils import pretty_print
 from ..utils.generate_yaml import (
     generate_appwrapper,
     head_worker_gpu_count_from_cluster,
 )
-from ..utils.kube_api_helpers import _kube_api_error_handling
+from ..common import _kube_api_error_handling
 from ..utils.generate_yaml import is_openshift_cluster
 
 from .config import ClusterConfiguration
@@ -47,8 +47,7 @@
     cluster_up_down_buttons,
     is_notebook,
 )
-from kubernetes import client, config
-from kubernetes.utils import parse_quantity
+from kubernetes import client
 import yaml
 import os
 import requests
diff --git a/src/codeflare_sdk/cluster/widgets.py b/src/codeflare_sdk/cluster/widgets.py
index a96a1a49..11a92632 100644
--- a/src/codeflare_sdk/cluster/widgets.py
+++ b/src/codeflare_sdk/cluster/widgets.py
@@ -28,8 +28,11 @@
 import pandas as pd
 from .config import ClusterConfiguration
 from .model import RayClusterStatus
-from ..utils.kube_api_helpers import _kube_api_error_handling
-from .auth import config_check, get_api_client
+from ..common import _kube_api_error_handling
+from ..common.kubernetes_cluster.auth import (
+    config_check,
+    get_api_client,
+)
 
 
 def cluster_up_down_buttons(cluster: "codeflare_sdk.cluster.Cluster") -> widgets.Button:
diff --git a/src/codeflare_sdk/common/__init__.py b/src/codeflare_sdk/common/__init__.py
new file mode 100644
index 00000000..c8bd2d5c
--- /dev/null
+++ b/src/codeflare_sdk/common/__init__.py
@@ -0,0 +1,8 @@
+# Importing everything from the kubernetes_cluster module
+from .kubernetes_cluster import (
+    Authentication,
+    KubeConfiguration,
+    TokenAuthentication,
+    KubeConfigFileAuthentication,
+    _kube_api_error_handling,
+)
diff --git a/src/codeflare_sdk/common/kubernetes_cluster/__init__.py b/src/codeflare_sdk/common/kubernetes_cluster/__init__.py
new file mode 100644
index 00000000..beac4d99
--- /dev/null
+++ b/src/codeflare_sdk/common/kubernetes_cluster/__init__.py
@@ -0,0 +1,10 @@
+from .auth import (
+    Authentication,
+    KubeConfiguration,
+    TokenAuthentication,
+    KubeConfigFileAuthentication,
+    config_check,
+    get_api_client,
+)
+
+from .kube_api_helpers import _kube_api_error_handling
diff --git a/src/codeflare_sdk/cluster/auth.py b/src/codeflare_sdk/common/kubernetes_cluster/auth.py
similarity index 99%
rename from src/codeflare_sdk/cluster/auth.py
rename to src/codeflare_sdk/common/kubernetes_cluster/auth.py
index fbba0c22..2525d2e3 100644
--- a/src/codeflare_sdk/cluster/auth.py
+++ b/src/codeflare_sdk/common/kubernetes_cluster/auth.py
@@ -23,7 +23,7 @@
 from kubernetes import client, config
 import os
 import urllib3
-from ..utils.kube_api_helpers import _kube_api_error_handling
+from .kube_api_helpers import _kube_api_error_handling
 
 from typing import Optional
 
diff --git a/src/codeflare_sdk/utils/kube_api_helpers.py b/src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py
similarity index 100%
rename from src/codeflare_sdk/utils/kube_api_helpers.py
rename to src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py
diff --git a/src/codeflare_sdk/utils/generate_cert.py b/src/codeflare_sdk/utils/generate_cert.py
index f3dc80e9..6d2c0d91 100644
--- a/src/codeflare_sdk/utils/generate_cert.py
+++ b/src/codeflare_sdk/utils/generate_cert.py
@@ -19,9 +19,12 @@
 from cryptography import x509
 from cryptography.x509.oid import NameOID
 import datetime
-from ..cluster.auth import config_check, get_api_client
-from kubernetes import client, config
-from .kube_api_helpers import _kube_api_error_handling
+from ..common.kubernetes_cluster.auth import (
+    config_check,
+    get_api_client,
+)
+from kubernetes import client
+from ..common import _kube_api_error_handling
 
 
 def generate_ca_cert(days: int = 30):
diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/utils/generate_yaml.py
index 7a17e010..2ddfb31a 100755
--- a/src/codeflare_sdk/utils/generate_yaml.py
+++ b/src/codeflare_sdk/utils/generate_yaml.py
@@ -21,16 +21,14 @@
 from typing import Optional
 import typing
 import yaml
-import sys
 import os
-import argparse
 import uuid
-from kubernetes import client, config
-from .kube_api_helpers import _kube_api_error_handling
-from ..cluster.auth import get_api_client, config_check
-from os import urandom
-from base64 import b64encode
-from urllib3.util import parse_url
+from kubernetes import client
+from ..common import _kube_api_error_handling
+from ..common.kubernetes_cluster.auth import (
+    get_api_client,
+    config_check,
+)
 from kubernetes.client.exceptions import ApiException
 import codeflare_sdk
 
diff --git a/tests/e2e/support.py b/tests/e2e/support.py
index 38325057..6fdd03af 100644
--- a/tests/e2e/support.py
+++ b/tests/e2e/support.py
@@ -4,7 +4,9 @@
 import subprocess
 from kubernetes import client, config
 import kubernetes.client
-from codeflare_sdk.utils.kube_api_helpers import _kube_api_error_handling
+from codeflare_sdk.common.kubernetes_cluster.kube_api_helpers import (
+    _kube_api_error_handling,
+)
 
 
 def get_ray_image():
diff --git a/tests/unit_test.py b/tests/unit_test.py
index d4b7b149..bb2e2f7d 100644
--- a/tests/unit_test.py
+++ b/tests/unit_test.py
@@ -39,7 +39,7 @@
     _app_wrapper_status,
     _ray_cluster_status,
 )
-from codeflare_sdk.cluster.auth import (
+from codeflare_sdk.common.kubernetes_cluster import (
     TokenAuthentication,
     Authentication,
     KubeConfigFileAuthentication,
@@ -71,7 +71,7 @@
     get_package_and_version,
 )
 
-import codeflare_sdk.utils.kube_api_helpers
+import codeflare_sdk.common.kubernetes_cluster.kube_api_helpers
 from codeflare_sdk.utils.generate_yaml import (
     gen_names,
     is_openshift_cluster,
@@ -198,8 +198,8 @@ def test_token_auth_login_tls(mocker):
 def test_config_check_no_config_file(mocker):
     mocker.patch("os.path.expanduser", return_value="/mock/home/directory")
     mocker.patch("os.path.isfile", return_value=False)
-    mocker.patch("codeflare_sdk.cluster.auth.config_path", None)
-    mocker.patch("codeflare_sdk.cluster.auth.api_client", None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.config_path", None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
 
     with pytest.raises(PermissionError) as e:
         config_check()
@@ -210,8 +210,8 @@ def test_config_check_with_incluster_config(mocker):
     mocker.patch("os.path.isfile", return_value=False)
     mocker.patch.dict(os.environ, {"KUBERNETES_PORT": "number"})
     mocker.patch("kubernetes.config.load_incluster_config", side_effect=None)
-    mocker.patch("codeflare_sdk.cluster.auth.config_path", None)
-    mocker.patch("codeflare_sdk.cluster.auth.api_client", None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.config_path", None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
 
     result = config_check()
     assert result == None
@@ -221,16 +221,18 @@ def test_config_check_with_existing_config_file(mocker):
     mocker.patch("os.path.expanduser", return_value="/mock/home/directory")
     mocker.patch("os.path.isfile", return_value=True)
     mocker.patch("kubernetes.config.load_kube_config", side_effect=None)
-    mocker.patch("codeflare_sdk.cluster.auth.config_path", None)
-    mocker.patch("codeflare_sdk.cluster.auth.api_client", None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.config_path", None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
 
     result = config_check()
     assert result == None
 
 
 def test_config_check_with_config_path_and_no_api_client(mocker):
-    mocker.patch("codeflare_sdk.cluster.auth.config_path", "/mock/config/path")
-    mocker.patch("codeflare_sdk.cluster.auth.api_client", None)
+    mocker.patch(
+        "codeflare_sdk.common.kubernetes_cluster.auth.config_path", "/mock/config/path"
+    )
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
     result = config_check()
     assert result == "/mock/config/path"
 
@@ -2170,7 +2172,8 @@ def test_map_to_ray_cluster(mocker):
 
     mock_api_client = mocker.MagicMock(spec=client.ApiClient)
     mocker.patch(
-        "codeflare_sdk.cluster.auth.get_api_client", return_value=mock_api_client
+        "codeflare_sdk.common.kubernetes_cluster.auth.get_api_client",
+        return_value=mock_api_client,
     )
 
     mock_routes = {
diff --git a/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py b/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py
index cf21fee0..65c836ed 100644
--- a/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py
+++ b/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py
@@ -12,7 +12,7 @@
 from tests.e2e.support import *
 
 
-from codeflare_sdk.utils.kube_api_helpers import _kube_api_error_handling
+from codeflare_sdk.common import _kube_api_error_handling
 
 namespace = "test-ns-rayupgrade-sleep"
 # Global variables for kueue resources
diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py
index 05862d07..dce1ca71 100644
--- a/tests/upgrade/raycluster_sdk_upgrade_test.py
+++ b/tests/upgrade/raycluster_sdk_upgrade_test.py
@@ -7,7 +7,7 @@
 from tests.e2e.support import *
 from codeflare_sdk.cluster.cluster import get_cluster
 
-from codeflare_sdk.utils.kube_api_helpers import _kube_api_error_handling
+from codeflare_sdk.common import _kube_api_error_handling
 
 namespace = "test-ns-rayupgrade"
 # Global variables for kueue resources

From 6e4e4ff2077e17bbac332c4bd4ee0c38b51b93b2 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Wed, 2 Oct 2024 10:32:51 +0100
Subject: [PATCH 115/254] refactor: ray and appwrapper modules

Signed-off-by: Bobbins228 
---
 src/codeflare_sdk/__init__.py                 |  17 ++-
 src/codeflare_sdk/cluster/__init__.py         |  18 ---
 src/codeflare_sdk/cluster/widgets.py          |  18 +--
 .../{ => common}/utils/__init__.py            |   0
 src/codeflare_sdk/{ => common}/utils/demos.py |   0
 .../{ => common}/utils/generate_cert.py       |   4 +-
 src/codeflare_sdk/ray/__init__.py             |  16 +++
 src/codeflare_sdk/ray/appwrapper/__init__.py  |   6 +
 .../{cluster => ray/appwrapper}/awload.py     |   4 +-
 src/codeflare_sdk/ray/appwrapper/status.py    |  46 ++++++++
 .../{job => ray/client}/__init__.py           |   0
 .../{job => ray/client}/ray_jobs.py           |   0
 src/codeflare_sdk/ray/cluster/__init__.py     |  13 +++
 .../{ => ray}/cluster/cluster.py              |  20 ++--
 src/codeflare_sdk/{ => ray}/cluster/config.py |   0
 .../{utils => ray/cluster}/generate_yaml.py   |  14 +--
 .../{utils => ray/cluster}/pretty_print.py    |   3 +-
 .../model.py => ray/cluster/status.py}        |  33 +-----
 .../{ => ray}/templates/base-template.yaml    |   0
 tests/demo_test.py                            |   6 +-
 .../e2e/mnist_raycluster_sdk_aw_kind_test.py  |   2 +-
 tests/e2e/mnist_raycluster_sdk_kind_test.py   |   2 +-
 tests/e2e/mnist_raycluster_sdk_oauth_test.py  |   2 +-
 tests/e2e/mnist_rayjob.py                     |   4 +-
 tests/e2e/start_ray_cluster.py                |   2 +-
 tests/unit_test.py                            | 109 ++++++++++--------
 tests/unit_test_support.py                    |   2 +-
 .../raycluster_sdk_upgrade_sleep_test.py      |   2 +-
 tests/upgrade/raycluster_sdk_upgrade_test.py  |   4 +-
 29 files changed, 202 insertions(+), 145 deletions(-)
 rename src/codeflare_sdk/{ => common}/utils/__init__.py (100%)
 rename src/codeflare_sdk/{ => common}/utils/demos.py (100%)
 rename src/codeflare_sdk/{ => common}/utils/generate_cert.py (98%)
 create mode 100644 src/codeflare_sdk/ray/__init__.py
 create mode 100644 src/codeflare_sdk/ray/appwrapper/__init__.py
 rename src/codeflare_sdk/{cluster => ray/appwrapper}/awload.py (97%)
 create mode 100644 src/codeflare_sdk/ray/appwrapper/status.py
 rename src/codeflare_sdk/{job => ray/client}/__init__.py (100%)
 rename src/codeflare_sdk/{job => ray/client}/ray_jobs.py (100%)
 create mode 100644 src/codeflare_sdk/ray/cluster/__init__.py
 rename src/codeflare_sdk/{ => ray}/cluster/cluster.py (99%)
 rename src/codeflare_sdk/{ => ray}/cluster/config.py (100%)
 rename src/codeflare_sdk/{utils => ray/cluster}/generate_yaml.py (96%)
 rename src/codeflare_sdk/{utils => ray/cluster}/pretty_print.py (98%)
 rename src/codeflare_sdk/{cluster/model.py => ray/cluster/status.py} (72%)
 rename src/codeflare_sdk/{ => ray}/templates/base-template.yaml (100%)

diff --git a/src/codeflare_sdk/__init__.py b/src/codeflare_sdk/__init__.py
index ba191bc5..599171a9 100644
--- a/src/codeflare_sdk/__init__.py
+++ b/src/codeflare_sdk/__init__.py
@@ -1,18 +1,19 @@
-from .cluster import (
-    AWManager,
+from .ray import (
     Cluster,
     ClusterConfiguration,
     RayClusterStatus,
-    AppWrapperStatus,
     CodeFlareClusterStatus,
     RayCluster,
-    AppWrapper,
     get_cluster,
     list_all_queued,
     list_all_clusters,
-    view_clusters,
+    AWManager,
+    AppWrapperStatus,
+    RayJobClient,
 )
 
+from .cluster import view_clusters
+
 from .common import (
     Authentication,
     KubeConfiguration,
@@ -20,10 +21,8 @@
     KubeConfigFileAuthentication,
 )
 
-from .job import RayJobClient
-
-from .utils import generate_cert
-from .utils.demos import copy_demo_nbs
+from .common.utils import generate_cert
+from .common.utils.demos import copy_demo_nbs
 
 from importlib.metadata import version, PackageNotFoundError
 
diff --git a/src/codeflare_sdk/cluster/__init__.py b/src/codeflare_sdk/cluster/__init__.py
index 5be1c9a5..60be4fcd 100644
--- a/src/codeflare_sdk/cluster/__init__.py
+++ b/src/codeflare_sdk/cluster/__init__.py
@@ -1,21 +1,3 @@
-from .model import (
-    RayClusterStatus,
-    AppWrapperStatus,
-    CodeFlareClusterStatus,
-    RayCluster,
-    AppWrapper,
-)
-
-from .cluster import (
-    Cluster,
-    ClusterConfiguration,
-    get_cluster,
-    list_all_queued,
-    list_all_clusters,
-)
-
 from .widgets import (
     view_clusters,
 )
-
-from .awload import AWManager
diff --git a/src/codeflare_sdk/cluster/widgets.py b/src/codeflare_sdk/cluster/widgets.py
index 11a92632..d827c661 100644
--- a/src/codeflare_sdk/cluster/widgets.py
+++ b/src/codeflare_sdk/cluster/widgets.py
@@ -26,8 +26,8 @@
 import ipywidgets as widgets
 from IPython.display import display, HTML, Javascript
 import pandas as pd
-from .config import ClusterConfiguration
-from .model import RayClusterStatus
+from ..ray.cluster.config import ClusterConfiguration
+from ..ray.cluster.status import RayClusterStatus
 from ..common import _kube_api_error_handling
 from ..common.kubernetes_cluster.auth import (
     config_check,
@@ -35,7 +35,9 @@
 )
 
 
-def cluster_up_down_buttons(cluster: "codeflare_sdk.cluster.Cluster") -> widgets.Button:
+def cluster_up_down_buttons(
+    cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
+) -> widgets.Button:
     """
     The cluster_up_down_buttons function returns two button widgets for a create and delete button.
     The function uses the appwrapper bool to distinguish between resource type for the tool tip.
@@ -115,7 +117,7 @@ def view_clusters(namespace: str = None):
         )
         return  # Exit function if not in Jupyter Notebook
 
-    from .cluster import get_current_namespace
+    from ..ray.cluster.cluster import get_current_namespace
 
     if not namespace:
         namespace = get_current_namespace()
@@ -278,7 +280,7 @@ def _on_ray_dashboard_button_click(
     """
     _on_ray_dashboard_button_click handles the event when the Open Ray Dashboard button is clicked, opening the Ray Dashboard in a new tab
     """
-    from codeflare_sdk.cluster import Cluster
+    from codeflare_sdk.ray.cluster import Cluster
 
     cluster_name = classification_widget.value
     namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
@@ -309,7 +311,7 @@ def _on_list_jobs_button_click(
     """
     _on_list_jobs_button_click handles the event when the View Jobs button is clicked, opening the Ray Jobs Dashboard in a new tab
     """
-    from codeflare_sdk.cluster import Cluster
+    from codeflare_sdk.ray.cluster import Cluster
 
     cluster_name = classification_widget.value
     namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
@@ -342,7 +344,7 @@ def _delete_cluster(
     _delete_cluster function deletes the cluster with the given name and namespace.
     It optionally waits for the cluster to be deleted.
     """
-    from .cluster import _check_aw_exists
+    from ..ray.cluster.cluster import _check_aw_exists
 
     try:
         config_check()
@@ -400,7 +402,7 @@ def _fetch_cluster_data(namespace):
     """
     _fetch_cluster_data function fetches all clusters and their spec in a given namespace and returns a DataFrame.
     """
-    from .cluster import list_all_clusters
+    from ..ray.cluster.cluster import list_all_clusters
 
     rayclusters = list_all_clusters(namespace, False)
     if not rayclusters:
diff --git a/src/codeflare_sdk/utils/__init__.py b/src/codeflare_sdk/common/utils/__init__.py
similarity index 100%
rename from src/codeflare_sdk/utils/__init__.py
rename to src/codeflare_sdk/common/utils/__init__.py
diff --git a/src/codeflare_sdk/utils/demos.py b/src/codeflare_sdk/common/utils/demos.py
similarity index 100%
rename from src/codeflare_sdk/utils/demos.py
rename to src/codeflare_sdk/common/utils/demos.py
diff --git a/src/codeflare_sdk/utils/generate_cert.py b/src/codeflare_sdk/common/utils/generate_cert.py
similarity index 98%
rename from src/codeflare_sdk/utils/generate_cert.py
rename to src/codeflare_sdk/common/utils/generate_cert.py
index 6d2c0d91..014d192d 100644
--- a/src/codeflare_sdk/utils/generate_cert.py
+++ b/src/codeflare_sdk/common/utils/generate_cert.py
@@ -19,12 +19,12 @@
 from cryptography import x509
 from cryptography.x509.oid import NameOID
 import datetime
-from ..common.kubernetes_cluster.auth import (
+from ..kubernetes_cluster.auth import (
     config_check,
     get_api_client,
 )
 from kubernetes import client
-from ..common import _kube_api_error_handling
+from .. import _kube_api_error_handling
 
 
 def generate_ca_cert(days: int = 30):
diff --git a/src/codeflare_sdk/ray/__init__.py b/src/codeflare_sdk/ray/__init__.py
new file mode 100644
index 00000000..ab55cc82
--- /dev/null
+++ b/src/codeflare_sdk/ray/__init__.py
@@ -0,0 +1,16 @@
+from .appwrapper import AppWrapper, AppWrapperStatus, AWManager
+
+from .client import (
+    RayJobClient,
+)
+
+from .cluster import (
+    Cluster,
+    ClusterConfiguration,
+    get_cluster,
+    list_all_queued,
+    list_all_clusters,
+    RayClusterStatus,
+    CodeFlareClusterStatus,
+    RayCluster,
+)
diff --git a/src/codeflare_sdk/ray/appwrapper/__init__.py b/src/codeflare_sdk/ray/appwrapper/__init__.py
new file mode 100644
index 00000000..537fdf8a
--- /dev/null
+++ b/src/codeflare_sdk/ray/appwrapper/__init__.py
@@ -0,0 +1,6 @@
+from .awload import AWManager
+
+from .status import (
+    AppWrapperStatus,
+    AppWrapper,
+)
diff --git a/src/codeflare_sdk/cluster/awload.py b/src/codeflare_sdk/ray/appwrapper/awload.py
similarity index 97%
rename from src/codeflare_sdk/cluster/awload.py
rename to src/codeflare_sdk/ray/appwrapper/awload.py
index e840c1ca..02794f3d 100644
--- a/src/codeflare_sdk/cluster/awload.py
+++ b/src/codeflare_sdk/ray/appwrapper/awload.py
@@ -23,8 +23,8 @@
 import yaml
 
 from kubernetes import client
-from ..common import _kube_api_error_handling
-from ..common.kubernetes_cluster.auth import (
+from ...common import _kube_api_error_handling
+from ...common.kubernetes_cluster.auth import (
     config_check,
     get_api_client,
 )
diff --git a/src/codeflare_sdk/ray/appwrapper/status.py b/src/codeflare_sdk/ray/appwrapper/status.py
new file mode 100644
index 00000000..79fe0fd2
--- /dev/null
+++ b/src/codeflare_sdk/ray/appwrapper/status.py
@@ -0,0 +1,46 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+The status sub-module defines Enums containing information for
+AppWrapper states, as well as dataclasses to store information for AppWrappers.
+"""
+
+from dataclasses import dataclass
+from enum import Enum
+
+
+class AppWrapperStatus(Enum):
+    """
+    Defines the possible reportable phases of an AppWrapper.
+    """
+
+    SUSPENDED = "suspended"
+    RESUMING = "resuming"
+    RUNNING = "running"
+    RESETTING = "resetting"
+    SUSPENDING = "suspending"
+    SUCCEEDED = "succeeded"
+    FAILED = "failed"
+    TERMINATING = "terminating"
+
+
+@dataclass
+class AppWrapper:
+    """
+    For storing information about an AppWrapper.
+    """
+
+    name: str
+    status: AppWrapperStatus
diff --git a/src/codeflare_sdk/job/__init__.py b/src/codeflare_sdk/ray/client/__init__.py
similarity index 100%
rename from src/codeflare_sdk/job/__init__.py
rename to src/codeflare_sdk/ray/client/__init__.py
diff --git a/src/codeflare_sdk/job/ray_jobs.py b/src/codeflare_sdk/ray/client/ray_jobs.py
similarity index 100%
rename from src/codeflare_sdk/job/ray_jobs.py
rename to src/codeflare_sdk/ray/client/ray_jobs.py
diff --git a/src/codeflare_sdk/ray/cluster/__init__.py b/src/codeflare_sdk/ray/cluster/__init__.py
new file mode 100644
index 00000000..bf32459b
--- /dev/null
+++ b/src/codeflare_sdk/ray/cluster/__init__.py
@@ -0,0 +1,13 @@
+from .status import (
+    RayClusterStatus,
+    CodeFlareClusterStatus,
+    RayCluster,
+)
+
+from .cluster import (
+    Cluster,
+    ClusterConfiguration,
+    get_cluster,
+    list_all_queued,
+    list_all_clusters,
+)
diff --git a/src/codeflare_sdk/cluster/cluster.py b/src/codeflare_sdk/ray/cluster/cluster.py
similarity index 99%
rename from src/codeflare_sdk/cluster/cluster.py
rename to src/codeflare_sdk/ray/cluster/cluster.py
index 77308245..4d8201f7 100644
--- a/src/codeflare_sdk/cluster/cluster.py
+++ b/src/codeflare_sdk/ray/cluster/cluster.py
@@ -23,27 +23,29 @@
 
 from ray.job_submission import JobSubmissionClient
 
-from ..common.kubernetes_cluster.auth import (
+from ...common.kubernetes_cluster.auth import (
     config_check,
     get_api_client,
 )
-from ..utils import pretty_print
-from ..utils.generate_yaml import (
+from . import pretty_print
+from .generate_yaml import (
     generate_appwrapper,
     head_worker_gpu_count_from_cluster,
 )
-from ..common import _kube_api_error_handling
-from ..utils.generate_yaml import is_openshift_cluster
+from ...common import _kube_api_error_handling
+from .generate_yaml import is_openshift_cluster
 
 from .config import ClusterConfiguration
-from .model import (
-    AppWrapper,
-    AppWrapperStatus,
+from .status import (
     CodeFlareClusterStatus,
     RayCluster,
     RayClusterStatus,
 )
-from .widgets import (
+from ..appwrapper import (
+    AppWrapper,
+    AppWrapperStatus,
+)
+from ...cluster.widgets import (
     cluster_up_down_buttons,
     is_notebook,
 )
diff --git a/src/codeflare_sdk/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
similarity index 100%
rename from src/codeflare_sdk/cluster/config.py
rename to src/codeflare_sdk/ray/cluster/config.py
diff --git a/src/codeflare_sdk/utils/generate_yaml.py b/src/codeflare_sdk/ray/cluster/generate_yaml.py
similarity index 96%
rename from src/codeflare_sdk/utils/generate_yaml.py
rename to src/codeflare_sdk/ray/cluster/generate_yaml.py
index 2ddfb31a..f0d70cf5 100755
--- a/src/codeflare_sdk/utils/generate_yaml.py
+++ b/src/codeflare_sdk/ray/cluster/generate_yaml.py
@@ -24,8 +24,8 @@
 import os
 import uuid
 from kubernetes import client
-from ..common import _kube_api_error_handling
-from ..common.kubernetes_cluster.auth import (
+from ...common import _kube_api_error_handling
+from ...common.kubernetes_cluster.auth import (
     get_api_client,
     config_check,
 )
@@ -80,7 +80,7 @@ def is_kind_cluster():
 
 def update_names(
     cluster_yaml: dict,
-    cluster: "codeflare_sdk.cluster.Cluster",
+    cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
 ):
     metadata = cluster_yaml.get("metadata")
     metadata["name"] = cluster.config.name
@@ -135,7 +135,7 @@ def update_resources(
 
 
 def head_worker_gpu_count_from_cluster(
-    cluster: "codeflare_sdk.cluster.Cluster",
+    cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
 ) -> typing.Tuple[int, int]:
     head_gpus = 0
     worker_gpus = 0
@@ -155,7 +155,7 @@ def head_worker_gpu_count_from_cluster(
 
 
 def head_worker_resources_from_cluster(
-    cluster: "codeflare_sdk.cluster.Cluster",
+    cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
 ) -> typing.Tuple[dict, dict]:
     to_return = {}, {}
     for k in cluster.config.head_extended_resource_requests.keys():
@@ -178,7 +178,7 @@ def head_worker_resources_from_cluster(
 
 def update_nodes(
     ray_cluster_dict: dict,
-    cluster: "codeflare_sdk.cluster.Cluster",
+    cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
 ):
     head = ray_cluster_dict.get("spec").get("headGroupSpec")
     worker = ray_cluster_dict.get("spec").get("workerGroupSpecs")[0]
@@ -325,7 +325,7 @@ def write_user_yaml(user_yaml, output_file_name):
     print(f"Written to: {output_file_name}")
 
 
-def generate_appwrapper(cluster: "codeflare_sdk.cluster.Cluster"):
+def generate_appwrapper(cluster: "codeflare_sdk.ray.cluster.cluster.Cluster"):
     cluster_yaml = read_template(cluster.config.template)
     appwrapper_name, _ = gen_names(cluster.config.name)
     update_names(
diff --git a/src/codeflare_sdk/utils/pretty_print.py b/src/codeflare_sdk/ray/cluster/pretty_print.py
similarity index 98%
rename from src/codeflare_sdk/utils/pretty_print.py
rename to src/codeflare_sdk/ray/cluster/pretty_print.py
index 30331319..883f14ad 100644
--- a/src/codeflare_sdk/utils/pretty_print.py
+++ b/src/codeflare_sdk/ray/cluster/pretty_print.py
@@ -24,7 +24,8 @@
 from rich.panel import Panel
 from rich import box
 from typing import List
-from ..cluster.model import RayCluster, AppWrapper, RayClusterStatus
+from .status import RayCluster, RayClusterStatus
+from ..appwrapper.status import AppWrapper
 
 
 def print_no_resources_found():
diff --git a/src/codeflare_sdk/cluster/model.py b/src/codeflare_sdk/ray/cluster/status.py
similarity index 72%
rename from src/codeflare_sdk/cluster/model.py
rename to src/codeflare_sdk/ray/cluster/status.py
index 44be5456..136ae302 100644
--- a/src/codeflare_sdk/cluster/model.py
+++ b/src/codeflare_sdk/ray/cluster/status.py
@@ -1,4 +1,4 @@
-# Copyright 2022 IBM, Red Hat
+# Copyright 2024 IBM, Red Hat
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -13,9 +13,9 @@
 # limitations under the License.
 
 """
-The model sub-module defines Enums containing information for Ray cluster
-states and AppWrapper states, and CodeFlare cluster states, as well as
-dataclasses to store information for Ray clusters and AppWrappers.
+The status sub-module defines Enums containing information for Ray cluster
+states states, and CodeFlare cluster states, as well as
+dataclasses to store information for Ray clusters.
 """
 
 from dataclasses import dataclass, field
@@ -37,21 +37,6 @@ class RayClusterStatus(Enum):
     SUSPENDED = "suspended"
 
 
-class AppWrapperStatus(Enum):
-    """
-    Defines the possible reportable phases of an AppWrapper.
-    """
-
-    SUSPENDED = "suspended"
-    RESUMING = "resuming"
-    RUNNING = "running"
-    RESETTING = "resetting"
-    SUSPENDING = "suspending"
-    SUCCEEDED = "succeeded"
-    FAILED = "failed"
-    TERMINATING = "terminating"
-
-
 class CodeFlareClusterStatus(Enum):
     """
     Defines the possible reportable states of a Codeflare cluster.
@@ -87,13 +72,3 @@ class RayCluster:
     dashboard: str
     worker_extended_resources: typing.Dict[str, int] = field(default_factory=dict)
     head_extended_resources: typing.Dict[str, int] = field(default_factory=dict)
-
-
-@dataclass
-class AppWrapper:
-    """
-    For storing information about an AppWrapper.
-    """
-
-    name: str
-    status: AppWrapperStatus
diff --git a/src/codeflare_sdk/templates/base-template.yaml b/src/codeflare_sdk/ray/templates/base-template.yaml
similarity index 100%
rename from src/codeflare_sdk/templates/base-template.yaml
rename to src/codeflare_sdk/ray/templates/base-template.yaml
diff --git a/tests/demo_test.py b/tests/demo_test.py
index 65324af0..b5453058 100644
--- a/tests/demo_test.py
+++ b/tests/demo_test.py
@@ -16,12 +16,12 @@
 These were the old tests used during initial demo building, and they will soon be fully deprecated.
 """
 
-from codeflare_sdk.cluster.cluster import (
+from codeflare_sdk.ray.cluster.cluster import (
     list_all_clusters,
     list_all_queued,
     _app_wrapper_status,
 )
-from codeflare_sdk.cluster.cluster import Cluster, ClusterConfiguration
+from codeflare_sdk.ray.cluster.cluster import Cluster, ClusterConfiguration
 
 import time
 
@@ -53,7 +53,7 @@ def test_cluster_down():
 
 
 def test_no_resources_found():
-    from codeflare_sdk.utils import pretty_print
+    from codeflare_sdk.ray.cluster import pretty_print
 
     pretty_print.print_no_resources_found()
 
diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
index d7949b8c..4623a9e5 100644
--- a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
+++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
@@ -3,7 +3,7 @@
 from time import sleep
 
 from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication
-from codeflare_sdk.job import RayJobClient
+from codeflare_sdk.ray.client import RayJobClient
 
 import pytest
 
diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py
index d81e9149..6bfb19af 100644
--- a/tests/e2e/mnist_raycluster_sdk_kind_test.py
+++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py
@@ -3,7 +3,7 @@
 from time import sleep
 
 from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication
-from codeflare_sdk.job import RayJobClient
+from codeflare_sdk.ray.client import RayJobClient
 
 import pytest
 
diff --git a/tests/e2e/mnist_raycluster_sdk_oauth_test.py b/tests/e2e/mnist_raycluster_sdk_oauth_test.py
index 7e4002ad..d3e69868 100644
--- a/tests/e2e/mnist_raycluster_sdk_oauth_test.py
+++ b/tests/e2e/mnist_raycluster_sdk_oauth_test.py
@@ -3,7 +3,7 @@
 from time import sleep
 
 from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication
-from codeflare_sdk.job import RayJobClient
+from codeflare_sdk.ray.client import RayJobClient
 
 import pytest
 
diff --git a/tests/e2e/mnist_rayjob.py b/tests/e2e/mnist_rayjob.py
index c9306da6..bf47e6da 100644
--- a/tests/e2e/mnist_rayjob.py
+++ b/tests/e2e/mnist_rayjob.py
@@ -4,8 +4,8 @@
 
 from support import *
 
-from codeflare_sdk.cluster.cluster import get_cluster
-from codeflare_sdk.job import RayJobClient
+from codeflare_sdk.ray.cluster.cluster import get_cluster
+from codeflare_sdk.ray.client import RayJobClient
 
 namespace = sys.argv[1]
 
diff --git a/tests/e2e/start_ray_cluster.py b/tests/e2e/start_ray_cluster.py
index 48ab604f..8aac19f0 100644
--- a/tests/e2e/start_ray_cluster.py
+++ b/tests/e2e/start_ray_cluster.py
@@ -3,7 +3,7 @@
 
 from time import sleep
 
-from codeflare_sdk.cluster.cluster import Cluster, ClusterConfiguration
+from codeflare_sdk.ray.cluster.cluster import Cluster, ClusterConfiguration
 
 namespace = sys.argv[1]
 ray_image = os.getenv("RAY_IMAGE")
diff --git a/tests/unit_test.py b/tests/unit_test.py
index bb2e2f7d..235eed0e 100644
--- a/tests/unit_test.py
+++ b/tests/unit_test.py
@@ -20,15 +20,15 @@
 import re
 import uuid
 
-from codeflare_sdk.cluster import cluster
+from codeflare_sdk.ray.cluster import cluster
 
 parent = Path(__file__).resolve().parents[1]
 aw_dir = os.path.expanduser("~/.codeflare/resources/")
 sys.path.append(str(parent) + "/src")
 
 from kubernetes import client, config, dynamic
-from codeflare_sdk.cluster.awload import AWManager
-from codeflare_sdk.cluster.cluster import (
+from codeflare_sdk.ray.appwrapper.awload import AWManager
+from codeflare_sdk.ray.cluster.cluster import (
     Cluster,
     ClusterConfiguration,
     _map_to_ray_cluster,
@@ -45,20 +45,22 @@
     KubeConfigFileAuthentication,
     config_check,
 )
-from codeflare_sdk.utils.pretty_print import (
+from codeflare_sdk.ray.cluster.pretty_print import (
     print_no_resources_found,
     print_app_wrappers_status,
     print_cluster_status,
     print_clusters,
 )
-from codeflare_sdk.cluster.model import (
+from codeflare_sdk.ray.appwrapper.status import (
     AppWrapper,
-    RayCluster,
     AppWrapperStatus,
+)
+from codeflare_sdk.ray.cluster.status import (
+    RayCluster,
     RayClusterStatus,
     CodeFlareClusterStatus,
 )
-from codeflare_sdk.utils.generate_cert import (
+from codeflare_sdk.common.utils.generate_cert import (
     generate_ca_cert,
     generate_tls_cert,
     export_env,
@@ -72,7 +74,7 @@
 )
 
 import codeflare_sdk.common.kubernetes_cluster.kube_api_helpers
-from codeflare_sdk.utils.generate_yaml import (
+from codeflare_sdk.ray.cluster.generate_yaml import (
     gen_names,
     is_openshift_cluster,
 )
@@ -88,7 +90,7 @@
 from unittest.mock import MagicMock, patch
 from pytest_mock import MockerFixture
 from ray.job_submission import JobSubmissionClient
-from codeflare_sdk.job.ray_jobs import RayJobClient
+from codeflare_sdk.ray.client.ray_jobs import RayJobClient
 
 # For mocking openshift client results
 fake_res = openshift.Result("fake")
@@ -268,7 +270,10 @@ def test_config_creation():
     assert config.worker_cpu_requests == 3 and config.worker_cpu_limits == 4
     assert config.worker_memory_requests == "5G" and config.worker_memory_limits == "6G"
     assert config.worker_extended_resource_requests == {"nvidia.com/gpu": 7}
-    assert config.template == f"{parent}/src/codeflare_sdk/templates/base-template.yaml"
+    assert (
+        config.template
+        == f"{parent}/src/codeflare_sdk/ray/templates/base-template.yaml"
+    )
     assert config.machine_types == ["cpu.small", "gpu.large"]
     assert config.image_pull_secrets == ["unit-test-pull-secret"]
     assert config.appwrapper == True
@@ -438,7 +443,7 @@ def test_cluster_creation_no_mcad_local_queue(mocker):
 def test_default_cluster_creation(mocker):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch(
-        "codeflare_sdk.cluster.cluster.get_current_namespace",
+        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
         return_value="opendatahub",
     )
     mocker.patch(
@@ -593,7 +598,7 @@ def arg_check_del_effect(group, version, namespace, plural, name, *args):
 def test_cluster_up_down(mocker):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch("codeflare_sdk.cluster.cluster.Cluster._throw_for_no_raycluster")
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
     mocker.patch(
         "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
         return_value={"spec": {"domain": ""}},
@@ -620,7 +625,7 @@ def test_cluster_up_down(mocker):
 
 
 def test_cluster_up_down_no_mcad(mocker):
-    mocker.patch("codeflare_sdk.cluster.cluster.Cluster._throw_for_no_raycluster")
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch(
@@ -716,7 +721,7 @@ def test_cluster_uris(mocker):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
     mocker.patch(
-        "codeflare_sdk.cluster.cluster._get_ingress_domain",
+        "codeflare_sdk.ray.cluster.cluster._get_ingress_domain",
         return_value="apps.cluster.awsroute.org",
     )
     mocker.patch(
@@ -760,11 +765,11 @@ def test_local_client_url(mocker):
         return_value={"spec": {"domain": ""}},
     )
     mocker.patch(
-        "codeflare_sdk.cluster.cluster._get_ingress_domain",
+        "codeflare_sdk.ray.cluster.cluster._get_ingress_domain",
         return_value="rayclient-unit-test-cluster-localinter-ns.apps.cluster.awsroute.org",
     )
     mocker.patch(
-        "codeflare_sdk.cluster.cluster.Cluster.create_app_wrapper",
+        "codeflare_sdk.ray.cluster.cluster.Cluster.create_app_wrapper",
         return_value="unit-test-cluster-localinter.yaml",
     )
 
@@ -955,15 +960,15 @@ def test_ray_details(mocker, capsys):
         head_mem_limits=8,
     )
     mocker.patch(
-        "codeflare_sdk.cluster.cluster.Cluster.status",
+        "codeflare_sdk.ray.cluster.cluster.Cluster.status",
         return_value=(False, CodeFlareClusterStatus.UNKNOWN),
     )
     mocker.patch(
-        "codeflare_sdk.cluster.cluster.Cluster.cluster_dashboard_uri",
+        "codeflare_sdk.ray.cluster.cluster.Cluster.cluster_dashboard_uri",
         return_value="",
     )
     mocker.patch(
-        "codeflare_sdk.utils.generate_yaml.local_queue_exists",
+        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
         return_value="true",
     )
     cf = Cluster(
@@ -2002,7 +2007,7 @@ def test_get_cluster_openshift(mocker):
     ]
     mocker.patch("kubernetes.client.ApisApi", return_value=mock_api)
     mocker.patch(
-        "codeflare_sdk.utils.generate_yaml.local_queue_exists",
+        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
         return_value="true",
     )
 
@@ -2037,7 +2042,7 @@ def custom_side_effect(group, version, namespace, plural, **kwargs):
         ],
     )
     mocker.patch(
-        "codeflare_sdk.utils.generate_yaml.local_queue_exists",
+        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
         return_value="true",
     )
 
@@ -2080,7 +2085,7 @@ def test_get_cluster(mocker):
         return_value=ingress_retrieval(cluster_name="quicktest", client_ing=True),
     )
     mocker.patch(
-        "codeflare_sdk.utils.generate_yaml.local_queue_exists",
+        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
         return_value="true",
     )
     cluster = get_cluster("quicktest")
@@ -2118,7 +2123,7 @@ def test_get_cluster_no_mcad(mocker):
         return_value=ingress_retrieval(cluster_name="quicktest", client_ing=True),
     )
     mocker.patch(
-        "codeflare_sdk.utils.generate_yaml.local_queue_exists",
+        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
         return_value="true",
     )
     cluster = get_cluster("quicktest")
@@ -2167,7 +2172,7 @@ def test_map_to_ray_cluster(mocker):
     mocker.patch("kubernetes.config.load_kube_config")
 
     mocker.patch(
-        "codeflare_sdk.cluster.cluster.is_openshift_cluster", return_value=True
+        "codeflare_sdk.ray.cluster.cluster.is_openshift_cluster", return_value=True
     )
 
     mock_api_client = mocker.MagicMock(spec=client.ApiClient)
@@ -2354,7 +2359,7 @@ def test_cluster_status(mocker):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
     mocker.patch(
-        "codeflare_sdk.utils.generate_yaml.local_queue_exists",
+        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
         return_value="true",
     )
     fake_aw = AppWrapper("test", AppWrapperStatus.FAILED)
@@ -2382,14 +2387,18 @@ def test_cluster_status(mocker):
             local_queue="local_default_queue",
         )
     )
-    mocker.patch("codeflare_sdk.cluster.cluster._app_wrapper_status", return_value=None)
-    mocker.patch("codeflare_sdk.cluster.cluster._ray_cluster_status", return_value=None)
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._app_wrapper_status", return_value=None
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=None
+    )
     status, ready = cf.status()
     assert status == CodeFlareClusterStatus.UNKNOWN
     assert ready == False
 
     mocker.patch(
-        "codeflare_sdk.cluster.cluster._app_wrapper_status", return_value=fake_aw
+        "codeflare_sdk.ray.cluster.cluster._app_wrapper_status", return_value=fake_aw
     )
     status, ready = cf.status()
     assert status == CodeFlareClusterStatus.FAILED
@@ -2416,7 +2425,7 @@ def test_cluster_status(mocker):
     assert ready == False
 
     mocker.patch(
-        "codeflare_sdk.cluster.cluster._ray_cluster_status", return_value=fake_ray
+        "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=fake_ray
     )
 
     status, ready = cf.status()
@@ -2446,10 +2455,14 @@ def test_wait_ready(mocker, capsys):
         return_value=ingress_retrieval(),
     )
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch("codeflare_sdk.cluster.cluster._app_wrapper_status", return_value=None)
-    mocker.patch("codeflare_sdk.cluster.cluster._ray_cluster_status", return_value=None)
     mocker.patch(
-        "codeflare_sdk.utils.generate_yaml.local_queue_exists",
+        "codeflare_sdk.ray.cluster.cluster._app_wrapper_status", return_value=None
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=None
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
         return_value="true",
     )
     mocker.patch.object(
@@ -2488,7 +2501,7 @@ def test_wait_ready(mocker, capsys):
         in captured.out
     )
     mocker.patch(
-        "codeflare_sdk.cluster.cluster.Cluster.status",
+        "codeflare_sdk.ray.cluster.cluster.Cluster.status",
         return_value=(True, CodeFlareClusterStatus.READY),
     )
     cf.wait_ready()
@@ -2599,7 +2612,7 @@ def test_AWManager_submit_remove(mocker, capsys):
 
 def test_generate_ca_cert():
     """
-    test the function codeflare_sdk.utils.generate_ca_cert generates the correct outputs
+    test the function codeflare_sdk.common.utils.generate_ca_cert generates the correct outputs
     """
     key, certificate = generate_ca_cert()
     cert = load_pem_x509_certificate(base64.b64decode(certificate))
@@ -2629,11 +2642,11 @@ def secret_ca_retreival(secret_name, namespace):
 
 def test_generate_tls_cert(mocker):
     """
-    test the function codeflare_sdk.utils.generate_ca_cert generates the correct outputs
+    test the function codeflare_sdk.common.utils.generate_ca_cert generates the correct outputs
     """
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
     mocker.patch(
-        "codeflare_sdk.utils.generate_cert.get_secret_name",
+        "codeflare_sdk.common.utils.generate_cert.get_secret_name",
         return_value="ca-secret-cluster",
     )
     mocker.patch(
@@ -2657,7 +2670,7 @@ def test_generate_tls_cert(mocker):
 
 def test_export_env():
     """
-    test the function codeflare_sdk.utils.export_ev generates the correct outputs
+    test the function codeflare_sdk.common.utils.generate_ca_cert.export_ev generates the correct outputs
     """
     tls_dir = "cluster"
     ns = "namespace"
@@ -2677,15 +2690,15 @@ def test_export_env():
 def test_cluster_throw_for_no_raycluster(mocker: MockerFixture):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch(
-        "codeflare_sdk.cluster.cluster.get_current_namespace",
+        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
         return_value="opendatahub",
     )
     mocker.patch(
-        "codeflare_sdk.utils.generate_yaml.get_default_kueue_name",
+        "codeflare_sdk.ray.cluster.generate_yaml.get_default_kueue_name",
         return_value="default",
     )
     mocker.patch(
-        "codeflare_sdk.utils.generate_yaml.local_queue_exists",
+        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
         return_value="true",
     )
 
@@ -2980,12 +2993,14 @@ def test_view_clusters(mocker, capsys):
         "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
         return_value={"items": []},
     )
-    mocker.patch("codeflare_sdk.cluster.cluster._check_aw_exists", return_value=False)
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._check_aw_exists", return_value=False
+    )
 
     # Return empty dataframe when no clusters are found
-    mocker.patch("codeflare_sdk.cluster.cluster.list_all_clusters", return_value=[])
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.list_all_clusters", return_value=[])
     mocker.patch(
-        "codeflare_sdk.cluster.cluster.get_current_namespace",
+        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
         return_value="default",
     )
     df = cf_widgets._fetch_cluster_data(namespace="default")
@@ -3019,8 +3034,8 @@ def test_view_clusters(mocker, capsys):
     )
 
     # Mock the Cluster class and related methods
-    mocker.patch("codeflare_sdk.cluster.Cluster")
-    mocker.patch("codeflare_sdk.cluster.ClusterConfiguration")
+    mocker.patch("codeflare_sdk.ray.cluster.Cluster")
+    mocker.patch("codeflare_sdk.ray.cluster.ClusterConfiguration")
 
     with patch("ipywidgets.ToggleButtons") as MockToggleButtons, patch(
         "ipywidgets.Button"
@@ -3103,7 +3118,7 @@ def test_view_clusters(mocker, capsys):
 
 def test_fetch_cluster_data(mocker):
     # Return empty dataframe when no clusters are found
-    mocker.patch("codeflare_sdk.cluster.cluster.list_all_clusters", return_value=[])
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.list_all_clusters", return_value=[])
     df = cf_widgets._fetch_cluster_data(namespace="default")
     assert df.empty
 
@@ -3145,7 +3160,7 @@ def test_fetch_cluster_data(mocker):
     mock_raycluster2.status = RayClusterStatus.SUSPENDED
 
     with patch(
-        "codeflare_sdk.cluster.cluster.list_all_clusters",
+        "codeflare_sdk.ray.cluster.cluster.list_all_clusters",
         return_value=[mock_raycluster1, mock_raycluster2],
     ):
         # Call the function under test
diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py
index c23c47eb..b3c2e197 100644
--- a/tests/unit_test_support.py
+++ b/tests/unit_test_support.py
@@ -1,4 +1,4 @@
-from codeflare_sdk.cluster.cluster import (
+from codeflare_sdk.ray.cluster.cluster import (
     Cluster,
     ClusterConfiguration,
 )
diff --git a/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py b/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py
index 65c836ed..793853d0 100644
--- a/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py
+++ b/tests/upgrade/raycluster_sdk_upgrade_sleep_test.py
@@ -7,7 +7,7 @@
     TokenAuthentication,
     get_cluster,
 )
-from codeflare_sdk.job import RayJobClient
+from codeflare_sdk.ray.client import RayJobClient
 
 from tests.e2e.support import *
 
diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py
index dce1ca71..7c8b2922 100644
--- a/tests/upgrade/raycluster_sdk_upgrade_test.py
+++ b/tests/upgrade/raycluster_sdk_upgrade_test.py
@@ -2,10 +2,10 @@
 from time import sleep
 
 from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication
-from codeflare_sdk.job import RayJobClient
+from codeflare_sdk.ray.client import RayJobClient
 
 from tests.e2e.support import *
-from codeflare_sdk.cluster.cluster import get_cluster
+from codeflare_sdk.ray.cluster.cluster import get_cluster
 
 from codeflare_sdk.common import _kube_api_error_handling
 

From 92a89617d85cd684f0a4f44c1f02a3832ff78477 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Wed, 2 Oct 2024 10:57:38 +0100
Subject: [PATCH 116/254] remove codeflare_sdk.egg-info

Signed-off-by: Bobbins228 
---
 src/codeflare_sdk.egg-info/PKG-INFO           |  4 ---
 src/codeflare_sdk.egg-info/SOURCES.txt        | 25 -------------------
 .../dependency_links.txt                      |  0
 src/codeflare_sdk.egg-info/top_level.txt      |  1 -
 4 files changed, 30 deletions(-)
 delete mode 100644 src/codeflare_sdk.egg-info/PKG-INFO
 delete mode 100644 src/codeflare_sdk.egg-info/SOURCES.txt
 delete mode 100644 src/codeflare_sdk.egg-info/dependency_links.txt
 delete mode 100644 src/codeflare_sdk.egg-info/top_level.txt

diff --git a/src/codeflare_sdk.egg-info/PKG-INFO b/src/codeflare_sdk.egg-info/PKG-INFO
deleted file mode 100644
index c4061c62..00000000
--- a/src/codeflare_sdk.egg-info/PKG-INFO
+++ /dev/null
@@ -1,4 +0,0 @@
-Metadata-Version: 2.1
-Name: codeflare-sdk
-Version: 0.0.0
-License-File: LICENSE
diff --git a/src/codeflare_sdk.egg-info/SOURCES.txt b/src/codeflare_sdk.egg-info/SOURCES.txt
deleted file mode 100644
index 53043edf..00000000
--- a/src/codeflare_sdk.egg-info/SOURCES.txt
+++ /dev/null
@@ -1,25 +0,0 @@
-LICENSE
-README.md
-pyproject.toml
-src/codeflare_sdk/__init__.py
-src/codeflare_sdk.egg-info/PKG-INFO
-src/codeflare_sdk.egg-info/SOURCES.txt
-src/codeflare_sdk.egg-info/dependency_links.txt
-src/codeflare_sdk.egg-info/top_level.txt
-src/codeflare_sdk/cluster/__init__.py
-src/codeflare_sdk/cluster/awload.py
-src/codeflare_sdk/cluster/cluster.py
-src/codeflare_sdk/cluster/config.py
-src/codeflare_sdk/cluster/model.py
-src/codeflare_sdk/cluster/widgets.py
-src/codeflare_sdk/common/__init__.py
-src/codeflare_sdk/common/kubernetes_cluster/__init__.py
-src/codeflare_sdk/common/kubernetes_cluster/auth.py
-src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py
-src/codeflare_sdk/job/__init__.py
-src/codeflare_sdk/job/ray_jobs.py
-src/codeflare_sdk/utils/__init__.py
-src/codeflare_sdk/utils/demos.py
-src/codeflare_sdk/utils/generate_cert.py
-src/codeflare_sdk/utils/generate_yaml.py
-src/codeflare_sdk/utils/pretty_print.py
diff --git a/src/codeflare_sdk.egg-info/dependency_links.txt b/src/codeflare_sdk.egg-info/dependency_links.txt
deleted file mode 100644
index e69de29b..00000000
diff --git a/src/codeflare_sdk.egg-info/top_level.txt b/src/codeflare_sdk.egg-info/top_level.txt
deleted file mode 100644
index 633675b3..00000000
--- a/src/codeflare_sdk.egg-info/top_level.txt
+++ /dev/null
@@ -1 +0,0 @@
-codeflare_sdk

From ffbdfecfed79a890bf250fbd840d3aee1c140fe7 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Tue, 1 Oct 2024 17:41:59 +0100
Subject: [PATCH 117/254] Refactor: kueue module

---
 src/codeflare_sdk/common/kueue/__init__.py    |  5 ++
 src/codeflare_sdk/common/kueue/kueue.py       | 78 +++++++++++++++++++
 .../ray/cluster/generate_yaml.py              | 62 +--------------
 tests/unit_test.py                            | 18 ++---
 4 files changed, 93 insertions(+), 70 deletions(-)
 create mode 100644 src/codeflare_sdk/common/kueue/__init__.py
 create mode 100644 src/codeflare_sdk/common/kueue/kueue.py

diff --git a/src/codeflare_sdk/common/kueue/__init__.py b/src/codeflare_sdk/common/kueue/__init__.py
new file mode 100644
index 00000000..b02e3c24
--- /dev/null
+++ b/src/codeflare_sdk/common/kueue/__init__.py
@@ -0,0 +1,5 @@
+from .kueue import (
+    get_default_kueue_name,
+    local_queue_exists,
+    add_queue_label,
+)
diff --git a/src/codeflare_sdk/common/kueue/kueue.py b/src/codeflare_sdk/common/kueue/kueue.py
new file mode 100644
index 00000000..0c207548
--- /dev/null
+++ b/src/codeflare_sdk/common/kueue/kueue.py
@@ -0,0 +1,78 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from typing import Optional
+from codeflare_sdk.common import _kube_api_error_handling
+from codeflare_sdk.common.kubernetes_cluster.auth import config_check, get_api_client
+from kubernetes import client
+from kubernetes.client.exceptions import ApiException
+
+
+def get_default_kueue_name(namespace: str):
+    # If the local queue is set, use it. Otherwise, try to use the default queue.
+    try:
+        config_check()
+        api_instance = client.CustomObjectsApi(get_api_client())
+        local_queues = api_instance.list_namespaced_custom_object(
+            group="kueue.x-k8s.io",
+            version="v1beta1",
+            namespace=namespace,
+            plural="localqueues",
+        )
+    except ApiException as e:  # pragma: no cover
+        if e.status == 404 or e.status == 403:
+            return
+        else:
+            return _kube_api_error_handling(e)
+    for lq in local_queues["items"]:
+        if (
+            "annotations" in lq["metadata"]
+            and "kueue.x-k8s.io/default-queue" in lq["metadata"]["annotations"]
+            and lq["metadata"]["annotations"]["kueue.x-k8s.io/default-queue"].lower()
+            == "true"
+        ):
+            return lq["metadata"]["name"]
+
+
+def local_queue_exists(namespace: str, local_queue_name: str):
+    # get all local queues in the namespace
+    try:
+        config_check()
+        api_instance = client.CustomObjectsApi(get_api_client())
+        local_queues = api_instance.list_namespaced_custom_object(
+            group="kueue.x-k8s.io",
+            version="v1beta1",
+            namespace=namespace,
+            plural="localqueues",
+        )
+    except Exception as e:  # pragma: no cover
+        return _kube_api_error_handling(e)
+    # check if local queue with the name provided in cluster config exists
+    for lq in local_queues["items"]:
+        if lq["metadata"]["name"] == local_queue_name:
+            return True
+    return False
+
+
+def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]):
+    lq_name = local_queue or get_default_kueue_name(namespace)
+    if lq_name == None:
+        return
+    elif not local_queue_exists(namespace, lq_name):
+        raise ValueError(
+            "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
+        )
+    if not "labels" in item["metadata"]:
+        item["metadata"]["labels"] = {}
+    item["metadata"]["labels"].update({"kueue.x-k8s.io/queue-name": lq_name})
diff --git a/src/codeflare_sdk/ray/cluster/generate_yaml.py b/src/codeflare_sdk/ray/cluster/generate_yaml.py
index f0d70cf5..0b174650 100755
--- a/src/codeflare_sdk/ray/cluster/generate_yaml.py
+++ b/src/codeflare_sdk/ray/cluster/generate_yaml.py
@@ -18,18 +18,17 @@
 """
 
 import json
-from typing import Optional
 import typing
 import yaml
 import os
 import uuid
 from kubernetes import client
 from ...common import _kube_api_error_handling
+from ...common.kueue import add_queue_label
 from ...common.kubernetes_cluster.auth import (
     get_api_client,
     config_check,
 )
-from kubernetes.client.exceptions import ApiException
 import codeflare_sdk
 
 
@@ -229,65 +228,6 @@ def del_from_list_by_name(l: list, target: typing.List[str]) -> list:
     return [x for x in l if x["name"] not in target]
 
 
-def get_default_kueue_name(namespace: str):
-    # If the local queue is set, use it. Otherwise, try to use the default queue.
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        local_queues = api_instance.list_namespaced_custom_object(
-            group="kueue.x-k8s.io",
-            version="v1beta1",
-            namespace=namespace,
-            plural="localqueues",
-        )
-    except ApiException as e:  # pragma: no cover
-        if e.status == 404 or e.status == 403:
-            return
-        else:
-            return _kube_api_error_handling(e)
-    for lq in local_queues["items"]:
-        if (
-            "annotations" in lq["metadata"]
-            and "kueue.x-k8s.io/default-queue" in lq["metadata"]["annotations"]
-            and lq["metadata"]["annotations"]["kueue.x-k8s.io/default-queue"].lower()
-            == "true"
-        ):
-            return lq["metadata"]["name"]
-
-
-def local_queue_exists(namespace: str, local_queue_name: str):
-    # get all local queues in the namespace
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        local_queues = api_instance.list_namespaced_custom_object(
-            group="kueue.x-k8s.io",
-            version="v1beta1",
-            namespace=namespace,
-            plural="localqueues",
-        )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-    # check if local queue with the name provided in cluster config exists
-    for lq in local_queues["items"]:
-        if lq["metadata"]["name"] == local_queue_name:
-            return True
-    return False
-
-
-def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]):
-    lq_name = local_queue or get_default_kueue_name(namespace)
-    if lq_name == None:
-        return
-    elif not local_queue_exists(namespace, lq_name):
-        raise ValueError(
-            "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
-        )
-    if not "labels" in item["metadata"]:
-        item["metadata"]["labels"] = {}
-    item["metadata"]["labels"].update({"kueue.x-k8s.io/queue-name": lq_name})
-
-
 def augment_labels(item: dict, labels: dict):
     if not "labels" in item["metadata"]:
         item["metadata"]["labels"] = {}
diff --git a/tests/unit_test.py b/tests/unit_test.py
index 235eed0e..74da56b7 100644
--- a/tests/unit_test.py
+++ b/tests/unit_test.py
@@ -968,7 +968,7 @@ def test_ray_details(mocker, capsys):
         return_value="",
     )
     mocker.patch(
-        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
         return_value="true",
     )
     cf = Cluster(
@@ -2007,7 +2007,7 @@ def test_get_cluster_openshift(mocker):
     ]
     mocker.patch("kubernetes.client.ApisApi", return_value=mock_api)
     mocker.patch(
-        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
         return_value="true",
     )
 
@@ -2042,7 +2042,7 @@ def custom_side_effect(group, version, namespace, plural, **kwargs):
         ],
     )
     mocker.patch(
-        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
         return_value="true",
     )
 
@@ -2085,7 +2085,7 @@ def test_get_cluster(mocker):
         return_value=ingress_retrieval(cluster_name="quicktest", client_ing=True),
     )
     mocker.patch(
-        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
         return_value="true",
     )
     cluster = get_cluster("quicktest")
@@ -2123,7 +2123,7 @@ def test_get_cluster_no_mcad(mocker):
         return_value=ingress_retrieval(cluster_name="quicktest", client_ing=True),
     )
     mocker.patch(
-        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
         return_value="true",
     )
     cluster = get_cluster("quicktest")
@@ -2359,7 +2359,7 @@ def test_cluster_status(mocker):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
     mocker.patch(
-        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
         return_value="true",
     )
     fake_aw = AppWrapper("test", AppWrapperStatus.FAILED)
@@ -2462,7 +2462,7 @@ def test_wait_ready(mocker, capsys):
         "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=None
     )
     mocker.patch(
-        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
         return_value="true",
     )
     mocker.patch.object(
@@ -2694,11 +2694,11 @@ def test_cluster_throw_for_no_raycluster(mocker: MockerFixture):
         return_value="opendatahub",
     )
     mocker.patch(
-        "codeflare_sdk.ray.cluster.generate_yaml.get_default_kueue_name",
+        "codeflare_sdk.common.kueue.kueue.get_default_kueue_name",
         return_value="default",
     )
     mocker.patch(
-        "codeflare_sdk.ray.cluster.generate_yaml.local_queue_exists",
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
         return_value="true",
     )
 

From d4d0dce14b51f7bbb3565da4cfbd6d4bcc442405 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Wed, 2 Oct 2024 16:34:10 +0100
Subject: [PATCH 118/254] Refactor: widgets module

---
 src/codeflare_sdk/__init__.py                 |  2 +-
 .../{cluster => common/widgets}/__init__.py   |  0
 .../{cluster => common/widgets}/widgets.py    | 22 +++++++++----------
 src/codeflare_sdk/ray/cluster/cluster.py      |  4 ++--
 tests/unit_test.py                            | 20 +++++++----------
 5 files changed, 22 insertions(+), 26 deletions(-)
 rename src/codeflare_sdk/{cluster => common/widgets}/__init__.py (100%)
 rename src/codeflare_sdk/{cluster => common/widgets}/widgets.py (96%)

diff --git a/src/codeflare_sdk/__init__.py b/src/codeflare_sdk/__init__.py
index 599171a9..a1b5535c 100644
--- a/src/codeflare_sdk/__init__.py
+++ b/src/codeflare_sdk/__init__.py
@@ -12,7 +12,7 @@
     RayJobClient,
 )
 
-from .cluster import view_clusters
+from .common.widgets import view_clusters
 
 from .common import (
     Authentication,
diff --git a/src/codeflare_sdk/cluster/__init__.py b/src/codeflare_sdk/common/widgets/__init__.py
similarity index 100%
rename from src/codeflare_sdk/cluster/__init__.py
rename to src/codeflare_sdk/common/widgets/__init__.py
diff --git a/src/codeflare_sdk/cluster/widgets.py b/src/codeflare_sdk/common/widgets/widgets.py
similarity index 96%
rename from src/codeflare_sdk/cluster/widgets.py
rename to src/codeflare_sdk/common/widgets/widgets.py
index d827c661..64e5dea9 100644
--- a/src/codeflare_sdk/cluster/widgets.py
+++ b/src/codeflare_sdk/common/widgets/widgets.py
@@ -26,10 +26,10 @@
 import ipywidgets as widgets
 from IPython.display import display, HTML, Javascript
 import pandas as pd
-from ..ray.cluster.config import ClusterConfiguration
-from ..ray.cluster.status import RayClusterStatus
-from ..common import _kube_api_error_handling
-from ..common.kubernetes_cluster.auth import (
+from ...ray.cluster.config import ClusterConfiguration
+from ...ray.cluster.status import RayClusterStatus
+from ..kubernetes_cluster import _kube_api_error_handling
+from ..kubernetes_cluster.auth import (
     config_check,
     get_api_client,
 )
@@ -58,7 +58,7 @@ def cluster_up_down_buttons(
         icon="trash",
     )
 
-    wait_ready_check = wait_ready_check_box()
+    wait_ready_check = _wait_ready_check_box()
     output = widgets.Output()
 
     # Display the buttons in an HBox wrapped in a VBox which includes the wait_ready Checkbox
@@ -83,7 +83,7 @@ def on_down_button_clicked(b):  # Handle the down button click event
     delete_button.on_click(on_down_button_clicked)
 
 
-def wait_ready_check_box():
+def _wait_ready_check_box():
     """
     The wait_ready_check_box function will return a checkbox widget used for waiting for the resource to be in the state READY.
     """
@@ -117,7 +117,7 @@ def view_clusters(namespace: str = None):
         )
         return  # Exit function if not in Jupyter Notebook
 
-    from ..ray.cluster.cluster import get_current_namespace
+    from ...ray.cluster.cluster import get_current_namespace
 
     if not namespace:
         namespace = get_current_namespace()
@@ -280,7 +280,7 @@ def _on_ray_dashboard_button_click(
     """
     _on_ray_dashboard_button_click handles the event when the Open Ray Dashboard button is clicked, opening the Ray Dashboard in a new tab
     """
-    from codeflare_sdk.ray.cluster import Cluster
+    from codeflare_sdk import Cluster
 
     cluster_name = classification_widget.value
     namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
@@ -311,7 +311,7 @@ def _on_list_jobs_button_click(
     """
     _on_list_jobs_button_click handles the event when the View Jobs button is clicked, opening the Ray Jobs Dashboard in a new tab
     """
-    from codeflare_sdk.ray.cluster import Cluster
+    from codeflare_sdk import Cluster
 
     cluster_name = classification_widget.value
     namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
@@ -344,7 +344,7 @@ def _delete_cluster(
     _delete_cluster function deletes the cluster with the given name and namespace.
     It optionally waits for the cluster to be deleted.
     """
-    from ..ray.cluster.cluster import _check_aw_exists
+    from ...ray.cluster.cluster import _check_aw_exists
 
     try:
         config_check()
@@ -402,7 +402,7 @@ def _fetch_cluster_data(namespace):
     """
     _fetch_cluster_data function fetches all clusters and their spec in a given namespace and returns a DataFrame.
     """
-    from ..ray.cluster.cluster import list_all_clusters
+    from ...ray.cluster.cluster import list_all_clusters
 
     rayclusters = list_all_clusters(namespace, False)
     if not rayclusters:
diff --git a/src/codeflare_sdk/ray/cluster/cluster.py b/src/codeflare_sdk/ray/cluster/cluster.py
index 4d8201f7..da87639c 100644
--- a/src/codeflare_sdk/ray/cluster/cluster.py
+++ b/src/codeflare_sdk/ray/cluster/cluster.py
@@ -1,4 +1,4 @@
-# Copyright 2022 IBM, Red Hat
+# Copyright 2024 IBM, Red Hat
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -45,7 +45,7 @@
     AppWrapper,
     AppWrapperStatus,
 )
-from ...cluster.widgets import (
+from ...common.widgets.widgets import (
     cluster_up_down_buttons,
     is_notebook,
 )
diff --git a/tests/unit_test.py b/tests/unit_test.py
index 74da56b7..fae4865f 100644
--- a/tests/unit_test.py
+++ b/tests/unit_test.py
@@ -1,4 +1,4 @@
-# Copyright 2022 IBM, Red Hat
+# Copyright 2024 IBM, Red Hat
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -79,7 +79,7 @@
     is_openshift_cluster,
 )
 
-import codeflare_sdk.cluster.widgets as cf_widgets
+import codeflare_sdk.common.widgets.widgets as cf_widgets
 import pandas as pd
 
 import openshift
@@ -2959,24 +2959,20 @@ def test_cluster_up_down_buttons(mocker):
 
 @patch.dict("os.environ", {}, clear=True)  # Mock environment with no variables
 def test_is_notebook_false():
-    from codeflare_sdk.cluster.widgets import is_notebook
-
-    assert is_notebook() is False
+    assert cf_widgets.is_notebook() is False
 
 
 @patch.dict(
     "os.environ", {"JPY_SESSION_NAME": "example-test"}
 )  # Mock Jupyter environment variable
 def test_is_notebook_true():
-    from codeflare_sdk.cluster.widgets import is_notebook
-
-    assert is_notebook() is True
+    assert cf_widgets.is_notebook() is True
 
 
 def test_view_clusters(mocker, capsys):
     from kubernetes.client.rest import ApiException
 
-    mocker.patch("codeflare_sdk.cluster.widgets.is_notebook", return_value=False)
+    mocker.patch("codeflare_sdk.common.widgets.widgets.is_notebook", return_value=False)
     with pytest.warns(
         UserWarning,
         match="view_clusters can only be used in a Jupyter Notebook environment.",
@@ -2985,7 +2981,7 @@ def test_view_clusters(mocker, capsys):
         # Assert the function returns None when not in a notebook environment
         assert result is None
 
-    mocker.patch("codeflare_sdk.cluster.widgets.is_notebook", return_value=True)
+    mocker.patch("codeflare_sdk.common.widgets.widgets.is_notebook", return_value=True)
 
     # Mock Kubernetes API responses
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
@@ -3030,7 +3026,7 @@ def test_view_clusters(mocker, capsys):
 
     # Mock the _fetch_cluster_data function to return a test DataFrame
     mocker.patch(
-        "codeflare_sdk.cluster.widgets._fetch_cluster_data", return_value=test_df
+        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data", return_value=test_df
     )
 
     # Mock the Cluster class and related methods
@@ -3048,7 +3044,7 @@ def test_view_clusters(mocker, capsys):
     ) as mock_display, patch(
         "IPython.display.HTML"
     ), patch(
-        "codeflare_sdk.cluster.widgets.Javascript"
+        "codeflare_sdk.common.widgets.widgets.Javascript"
     ) as mock_javascript:
         # Create mock widget instances
         mock_toggle = MagicMock()

From 3385e348c76005d2fbb949283742a133ceb6bbb0 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Wed, 2 Oct 2024 19:22:58 +0100
Subject: [PATCH 119/254] Convert UI widgets to its own class

---
 src/codeflare_sdk/common/widgets/widgets.py | 382 +++++++++-----------
 1 file changed, 179 insertions(+), 203 deletions(-)

diff --git a/src/codeflare_sdk/common/widgets/widgets.py b/src/codeflare_sdk/common/widgets/widgets.py
index 64e5dea9..c65a1721 100644
--- a/src/codeflare_sdk/common/widgets/widgets.py
+++ b/src/codeflare_sdk/common/widgets/widgets.py
@@ -34,6 +34,180 @@
     get_api_client,
 )
 
+class RayClusterManagerWidgets:
+    def __init__(self, ray_clusters_df: pd.DataFrame, namespace: str = None):
+        from ...ray.cluster.cluster import get_current_namespace
+
+        # Data
+        self.ray_clusters_df = ray_clusters_df
+        self.namespace = get_current_namespace() if not namespace else namespace
+        self.raycluster_data_output = widgets.Output()
+        self.user_output = widgets.Output()
+        self.url_output = widgets.Output()
+
+        # Widgets
+        self.classification_widget = widgets.ToggleButtons(
+            options=ray_clusters_df["Name"].tolist(),
+            value=ray_clusters_df["Name"].tolist()[0],
+            description="Select an existing cluster:",
+        )
+        self.delete_button = widgets.Button(
+            description="Delete Cluster",
+            icon="trash",
+            tooltip="Delete the selected cluster",
+        )
+        self.list_jobs_button = widgets.Button(
+            description="View Jobs",
+            icon="suitcase",
+            tooltip="Open the Ray Job Dashboard",
+        )
+        self.ray_dashboard_button = widgets.Button(
+            description="Open Ray Dashboard",
+            icon="dashboard",
+            tooltip="Open the Ray Dashboard in a new tab",
+            layout=widgets.Layout(width="auto"),
+        )
+
+        # Set up interactions
+        self._initialize_callbacks()
+        self._trigger_initial_display()
+
+    def _initialize_callbacks(self):
+        # Observe cluster selection
+        self.classification_widget.observe(
+            lambda selection_change: self._on_cluster_click(selection_change),
+            names="value",
+        )
+        # Set up button clicks
+        self.delete_button.on_click(lambda b: self._on_delete_button_click(b))
+        self.list_jobs_button.on_click(lambda b: self._on_list_jobs_button_click(b))
+        self.ray_dashboard_button.on_click(
+            lambda b: self._on_ray_dashboard_button_click(b)
+        )
+
+    def _trigger_initial_display(self):
+        # Trigger display with initial cluster value
+        initial_value = self.classification_widget.value
+        self._on_cluster_click({"new": initial_value})
+
+    def _on_cluster_click(self, selection_change):
+        """
+        _on_cluster_click handles the event when a cluster is selected from the toggle buttons, updating the output with cluster details.
+        """
+        new_value = selection_change["new"]
+        self.raycluster_data_output.clear_output()
+        ray_clusters_df = _fetch_cluster_data(self.namespace)
+        self.classification_widget.options = ray_clusters_df["Name"].tolist()
+        with self.raycluster_data_output:
+            display(
+                HTML(
+                    ray_clusters_df[ray_clusters_df["Name"] == new_value][
+                        [
+                            "Name",
+                            "Namespace",
+                            "Num Workers",
+                            "Head GPUs",
+                            "Head CPU Req~Lim",
+                            "Head Memory Req~Lim",
+                            "Worker GPUs",
+                            "Worker CPU Req~Lim",
+                            "Worker Memory Req~Lim",
+                            "status",
+                        ]
+                    ].to_html(escape=False, index=False, border=2)
+                )
+            )
+
+    def _on_delete_button_click(self, b):
+        """
+        _on_delete_button_click handles the event when the Delete Button is clicked, deleting the selected cluster.
+        """
+        cluster_name = self.classification_widget.value
+        namespace = self.ray_clusters_df[
+            self.ray_clusters_df["Name"] == self.classification_widget.value
+        ]["Namespace"].values[0]
+
+        _delete_cluster(cluster_name, namespace)
+
+        with self.user_output:
+            self.user_output.clear_output()
+            print(
+                f"Cluster {cluster_name} in the {namespace} namespace was deleted successfully."
+            )
+
+        # Refresh the dataframe
+        new_df = _fetch_cluster_data(namespace)
+        if new_df.empty:
+            self.classification_widget.close()
+            self.delete_button.close()
+            self.list_jobs_button.close()
+            self.ray_dashboard_button.close()
+            with self.raycluster_data_output:
+                self.raycluster_data_output.clear_output()
+                print(f"No clusters found in the {namespace} namespace.")
+        else:
+            self.classification_widget.options = new_df["Name"].tolist()
+
+    def _on_list_jobs_button_click(self, b):
+        """
+        _on_list_jobs_button_click handles the event when the View Jobs button is clicked, opening the Ray Jobs Dashboard in a new tab
+        """
+        from codeflare_sdk import Cluster
+
+        cluster_name = self.classification_widget.value
+        namespace = self.ray_clusters_df[
+            self.ray_clusters_df["Name"] == self.classification_widget.value
+        ]["Namespace"].values[0]
+
+        # Suppress from Cluster Object initialisation widgets and outputs
+        with widgets.Output(), contextlib.redirect_stdout(
+            io.StringIO()
+        ), contextlib.redirect_stderr(io.StringIO()):
+            cluster = Cluster(ClusterConfiguration(cluster_name, namespace))
+        dashboard_url = cluster.cluster_dashboard_uri()
+
+        with self.user_output:
+            self.user_output.clear_output()
+            print(
+                f"Opening Ray Jobs Dashboard for {cluster_name} cluster:\n{dashboard_url}/#/jobs"
+            )
+        with self.url_output:
+            display(Javascript(f'window.open("{dashboard_url}/#/jobs", "_blank");'))
+
+    def _on_ray_dashboard_button_click(self, b):
+        """
+        _on_ray_dashboard_button_click handles the event when the Open Ray Dashboard button is clicked, opening the Ray Dashboard in a new tab
+        """
+        from codeflare_sdk import Cluster
+
+        cluster_name = self.classification_widget.value
+        namespace = self.ray_clusters_df[
+            self.ray_clusters_df["Name"] == self.classification_widget.value
+        ]["Namespace"].values[0]
+
+        # Suppress from Cluster Object initialisation widgets and outputs
+        with widgets.Output(), contextlib.redirect_stdout(
+            io.StringIO()
+        ), contextlib.redirect_stderr(io.StringIO()):
+            cluster = Cluster(ClusterConfiguration(cluster_name, namespace))
+        dashboard_url = cluster.cluster_dashboard_uri()
+
+        with self.user_output:
+            self.user_output.clear_output()
+            print(f"Opening Ray Dashboard for {cluster_name} cluster:\n{dashboard_url}")
+        with self.url_output:
+            display(Javascript(f'window.open("{dashboard_url}", "_blank");'))
+
+    def display_widgets(self):
+        display(widgets.VBox([self.classification_widget, self.raycluster_data_output]))
+        display(
+            widgets.HBox(
+                [self.delete_button, self.list_jobs_button, self.ray_dashboard_button]
+            ),
+            self.url_output,
+            self.user_output,
+        )
+
 
 def cluster_up_down_buttons(
     cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
@@ -122,216 +296,18 @@ def view_clusters(namespace: str = None):
     if not namespace:
         namespace = get_current_namespace()
 
-    user_output = widgets.Output()
-    raycluster_data_output = widgets.Output()
-    url_output = widgets.Output()
-
     ray_clusters_df = _fetch_cluster_data(namespace)
     if ray_clusters_df.empty:
         print(f"No clusters found in the {namespace} namespace.")
         return
 
-    classification_widget = widgets.ToggleButtons(
-        options=ray_clusters_df["Name"].tolist(),
-        value=ray_clusters_df["Name"].tolist()[0],
-        description="Select an existing cluster:",
-    )
-    # Setting the initial value to trigger the event handler to display the cluster details.
-    initial_value = classification_widget.value
-    _on_cluster_click(
-        {"new": initial_value}, raycluster_data_output, namespace, classification_widget
-    )
-    classification_widget.observe(
-        lambda selection_change: _on_cluster_click(
-            selection_change, raycluster_data_output, namespace, classification_widget
-        ),
-        names="value",
-    )
-
-    # UI table buttons
-    delete_button = widgets.Button(
-        description="Delete Cluster",
-        icon="trash",
-        tooltip="Delete the selected cluster",
-    )
-    delete_button.on_click(
-        lambda b: _on_delete_button_click(
-            b,
-            classification_widget,
-            ray_clusters_df,
-            raycluster_data_output,
-            user_output,
-            delete_button,
-            list_jobs_button,
-            ray_dashboard_button,
-        )
-    )
-
-    list_jobs_button = widgets.Button(
-        description="View Jobs", icon="suitcase", tooltip="Open the Ray Job Dashboard"
-    )
-    list_jobs_button.on_click(
-        lambda b: _on_list_jobs_button_click(
-            b, classification_widget, ray_clusters_df, user_output, url_output
-        )
-    )
-
-    ray_dashboard_button = widgets.Button(
-        description="Open Ray Dashboard",
-        icon="dashboard",
-        tooltip="Open the Ray Dashboard in a new tab",
-        layout=widgets.Layout(width="auto"),
-    )
-    ray_dashboard_button.on_click(
-        lambda b: _on_ray_dashboard_button_click(
-            b, classification_widget, ray_clusters_df, user_output, url_output
-        )
-    )
-
-    display(widgets.VBox([classification_widget, raycluster_data_output]))
-    display(
-        widgets.HBox([delete_button, list_jobs_button, ray_dashboard_button]),
-        url_output,
-        user_output,
+    # Initialize the RayClusterManagerWidgets class
+    ray_cluster_manager = RayClusterManagerWidgets(
+        ray_clusters_df=ray_clusters_df, namespace=namespace
     )
 
-
-def _on_cluster_click(
-    selection_change,
-    raycluster_data_output: widgets.Output,
-    namespace: str,
-    classification_widget: widgets.ToggleButtons,
-):
-    """
-    _on_cluster_click handles the event when a cluster is selected from the toggle buttons, updating the output with cluster details.
-    """
-    new_value = selection_change["new"]
-    raycluster_data_output.clear_output()
-    ray_clusters_df = _fetch_cluster_data(namespace)
-    classification_widget.options = ray_clusters_df["Name"].tolist()
-    with raycluster_data_output:
-        display(
-            HTML(
-                ray_clusters_df[ray_clusters_df["Name"] == new_value][
-                    [
-                        "Name",
-                        "Namespace",
-                        "Num Workers",
-                        "Head GPUs",
-                        "Head CPU Req~Lim",
-                        "Head Memory Req~Lim",
-                        "Worker GPUs",
-                        "Worker CPU Req~Lim",
-                        "Worker Memory Req~Lim",
-                        "status",
-                    ]
-                ].to_html(escape=False, index=False, border=2)
-            )
-        )
-
-
-def _on_delete_button_click(
-    b,
-    classification_widget: widgets.ToggleButtons,
-    ray_clusters_df: pd.DataFrame,
-    raycluster_data_output: widgets.Output,
-    user_output: widgets.Output,
-    delete_button: widgets.Button,
-    list_jobs_button: widgets.Button,
-    ray_dashboard_button: widgets.Button,
-):
-    """
-    _on_delete_button_click handles the event when the Delete Button is clicked, deleting the selected cluster.
-    """
-    cluster_name = classification_widget.value
-    namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
-        "Namespace"
-    ].values[0]
-
-    _delete_cluster(cluster_name, namespace)
-
-    with user_output:
-        user_output.clear_output()
-        print(
-            f"Cluster {cluster_name} in the {namespace} namespace was deleted successfully."
-        )
-
-    # Refresh the dataframe
-    new_df = _fetch_cluster_data(namespace)
-    if new_df.empty:
-        classification_widget.close()
-        delete_button.close()
-        list_jobs_button.close()
-        ray_dashboard_button.close()
-        with raycluster_data_output:
-            raycluster_data_output.clear_output()
-            print(f"No clusters found in the {namespace} namespace.")
-    else:
-        classification_widget.options = new_df["Name"].tolist()
-
-
-def _on_ray_dashboard_button_click(
-    b,
-    classification_widget: widgets.ToggleButtons,
-    ray_clusters_df: pd.DataFrame,
-    user_output: widgets.Output,
-    url_output: widgets.Output,
-):
-    """
-    _on_ray_dashboard_button_click handles the event when the Open Ray Dashboard button is clicked, opening the Ray Dashboard in a new tab
-    """
-    from codeflare_sdk import Cluster
-
-    cluster_name = classification_widget.value
-    namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
-        "Namespace"
-    ].values[0]
-
-    # Suppress from Cluster Object initialisation widgets and outputs
-    with widgets.Output(), contextlib.redirect_stdout(
-        io.StringIO()
-    ), contextlib.redirect_stderr(io.StringIO()):
-        cluster = Cluster(ClusterConfiguration(cluster_name, namespace))
-    dashboard_url = cluster.cluster_dashboard_uri()
-
-    with user_output:
-        user_output.clear_output()
-        print(f"Opening Ray Dashboard for {cluster_name} cluster:\n{dashboard_url}")
-    with url_output:
-        display(Javascript(f'window.open("{dashboard_url}", "_blank");'))
-
-
-def _on_list_jobs_button_click(
-    b,
-    classification_widget: widgets.ToggleButtons,
-    ray_clusters_df: pd.DataFrame,
-    user_output: widgets.Output,
-    url_output: widgets.Output,
-):
-    """
-    _on_list_jobs_button_click handles the event when the View Jobs button is clicked, opening the Ray Jobs Dashboard in a new tab
-    """
-    from codeflare_sdk import Cluster
-
-    cluster_name = classification_widget.value
-    namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
-        "Namespace"
-    ].values[0]
-
-    # Suppress from Cluster Object initialisation widgets and outputs
-    with widgets.Output(), contextlib.redirect_stdout(
-        io.StringIO()
-    ), contextlib.redirect_stderr(io.StringIO()):
-        cluster = Cluster(ClusterConfiguration(cluster_name, namespace))
-    dashboard_url = cluster.cluster_dashboard_uri()
-
-    with user_output:
-        user_output.clear_output()
-        print(
-            f"Opening Ray Jobs Dashboard for {cluster_name} cluster:\n{dashboard_url}/#/jobs"
-        )
-    with url_output:
-        display(Javascript(f'window.open("{dashboard_url}/#/jobs", "_blank");'))
+    # Display the UI components
+    ray_cluster_manager.display_widgets()
 
 
 def _delete_cluster(

From 693a019db3c2c79dda7abeb302df8368b74f4022 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Fri, 4 Oct 2024 11:16:24 +0100
Subject: [PATCH 120/254] Enhance widgets unit tests and increase coverage

---
 src/codeflare_sdk/common/widgets/widgets.py |  18 +-
 tests/unit_test.py                          | 347 ++++++++++++++------
 2 files changed, 254 insertions(+), 111 deletions(-)

diff --git a/src/codeflare_sdk/common/widgets/widgets.py b/src/codeflare_sdk/common/widgets/widgets.py
index c65a1721..cf7bccf9 100644
--- a/src/codeflare_sdk/common/widgets/widgets.py
+++ b/src/codeflare_sdk/common/widgets/widgets.py
@@ -34,6 +34,7 @@
     get_api_client,
 )
 
+
 class RayClusterManagerWidgets:
     def __init__(self, ray_clusters_df: pd.DataFrame, namespace: str = None):
         from ...ray.cluster.cluster import get_current_namespace
@@ -137,6 +138,7 @@ def _on_delete_button_click(self, b):
 
         # Refresh the dataframe
         new_df = _fetch_cluster_data(namespace)
+        self.ray_clusters_df = new_df
         if new_df.empty:
             self.classification_widget.close()
             self.delete_button.close()
@@ -387,15 +389,19 @@ def _fetch_cluster_data(namespace):
     namespaces = [item.namespace for item in rayclusters]
     num_workers = [item.num_workers for item in rayclusters]
     head_extended_resources = [
-        f"{list(item.head_extended_resources.keys())[0]}: {list(item.head_extended_resources.values())[0]}"
-        if item.head_extended_resources
-        else "0"
+        (
+            f"{list(item.head_extended_resources.keys())[0]}: {list(item.head_extended_resources.values())[0]}"
+            if item.head_extended_resources
+            else "0"
+        )
         for item in rayclusters
     ]
     worker_extended_resources = [
-        f"{list(item.worker_extended_resources.keys())[0]}: {list(item.worker_extended_resources.values())[0]}"
-        if item.worker_extended_resources
-        else "0"
+        (
+            f"{list(item.worker_extended_resources.keys())[0]}: {list(item.worker_extended_resources.values())[0]}"
+            if item.worker_extended_resources
+            else "0"
+        )
         for item in rayclusters
     ]
     head_cpu_requests = [
diff --git a/tests/unit_test.py b/tests/unit_test.py
index fae4865f..4c103e01 100644
--- a/tests/unit_test.py
+++ b/tests/unit_test.py
@@ -19,6 +19,7 @@
 import os
 import re
 import uuid
+from io import StringIO
 
 from codeflare_sdk.ray.cluster import cluster
 
@@ -2970,146 +2971,282 @@ def test_is_notebook_true():
 
 
 def test_view_clusters(mocker, capsys):
-    from kubernetes.client.rest import ApiException
-
-    mocker.patch("codeflare_sdk.common.widgets.widgets.is_notebook", return_value=False)
+    # If is not a notebook environment, a warning should be raised
     with pytest.warns(
         UserWarning,
         match="view_clusters can only be used in a Jupyter Notebook environment.",
     ):
-        result = cf_widgets.view_clusters(namespace="default")
+        result = cf_widgets.view_clusters("default")
+
         # Assert the function returns None when not in a notebook environment
         assert result is None
 
+    # Prepare to run view_clusters when notebook environment is detected
     mocker.patch("codeflare_sdk.common.widgets.widgets.is_notebook", return_value=True)
+    mock_get_current_namespace = mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
+        return_value="default",
+    )
+    namespace = mock_get_current_namespace.return_value
+
+    # Assert the function returns None when no clusters are found
+    mock_fetch_cluster_data = mocker.patch(
+        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data",
+        return_value=pd.DataFrame(),
+    )
+    result = cf_widgets.view_clusters()
+    captured = capsys.readouterr()
+    assert mock_fetch_cluster_data.return_value.empty
+    assert "No clusters found in the default namespace." in captured.out
+    assert result is None
+
+    # Prepare to run view_clusters with a test DataFrame
+    mock_fetch_cluster_data = mocker.patch(
+        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data",
+        return_value=pd.DataFrame(
+            {
+                "Name": ["test-cluster"],
+                "Namespace": ["default"],
+                "Num Workers": ["1"],
+                "Head GPUs": ["0"],
+                "Worker GPUs": ["0"],
+                "Head CPU Req~Lim": ["1~1"],
+                "Head Memory Req~Lim": ["1Gi~1Gi"],
+                "Worker CPU Req~Lim": ["1~1"],
+                "Worker Memory Req~Lim": ["1Gi~1Gi"],
+                "status": ['Ready ✓'],
+            }
+        ),
+    )
+    # Create a RayClusterManagerWidgets instance
+    ray_cluster_manager_instance = cf_widgets.RayClusterManagerWidgets(
+        ray_clusters_df=mock_fetch_cluster_data.return_value, namespace=namespace
+    )
+    # Patch the constructor of RayClusterManagerWidgets to return our initialized instance
+    mock_constructor = mocker.patch(
+        "codeflare_sdk.common.widgets.widgets.RayClusterManagerWidgets",
+        return_value=ray_cluster_manager_instance,
+    )
+
+    # Use a spy to track calls to display_widgets without replacing it
+    spy_display_widgets = mocker.spy(ray_cluster_manager_instance, "display_widgets")
 
-    # Mock Kubernetes API responses
+    cf_widgets.view_clusters()
+
+    mock_constructor.assert_called_once_with(
+        ray_clusters_df=mock_fetch_cluster_data.return_value, namespace=namespace
+    )
+
+    spy_display_widgets.assert_called_once()
+
+
+def test_delete_cluster(mocker, capsys):
+    name = "test-cluster"
+    namespace = "default"
+
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+
+    mock_ray_cluster = MagicMock()
     mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value={"items": []},
+        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
+        side_effect=[
+            mock_ray_cluster,
+            client.ApiException(status=404),
+            client.ApiException(status=404),
+            mock_ray_cluster,
+        ],
     )
+
+    # In this scenario, the RayCluster exists and the AppWrapper does not.
     mocker.patch(
         "codeflare_sdk.ray.cluster.cluster._check_aw_exists", return_value=False
     )
+    mock_delete_rc = mocker.patch(
+        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object"
+    )
+    cf_widgets._delete_cluster(name, namespace)
 
-    # Return empty dataframe when no clusters are found
-    mocker.patch("codeflare_sdk.ray.cluster.cluster.list_all_clusters", return_value=[])
+    mock_delete_rc.assert_called_once_with(
+        group="ray.io",
+        version="v1",
+        namespace=namespace,
+        plural="rayclusters",
+        name=name,
+    )
+
+    # In this scenario, the AppWrapper exists and the RayCluster does not
     mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
-        return_value="default",
+        "codeflare_sdk.ray.cluster.cluster._check_aw_exists", return_value=True
     )
-    df = cf_widgets._fetch_cluster_data(namespace="default")
-    assert df.empty
+    mock_delete_aw = mocker.patch(
+        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object"
+    )
+    cf_widgets._delete_cluster(name, namespace)
 
-    cf_widgets.view_clusters()
-    captured = capsys.readouterr()
-    assert f"No clusters found in the default namespace." in captured.out
+    mock_delete_aw.assert_called_once_with(
+        group="workload.codeflare.dev",
+        version="v1beta2",
+        namespace=namespace,
+        plural="appwrappers",
+        name=name,
+    )
+
+    # In this scenario, the deletion of the resource times out.
+    with pytest.raises(
+        TimeoutError, match=f"Timeout waiting for {name} to be deleted."
+    ):
+        cf_widgets._delete_cluster(name, namespace, 1)
 
-    # Assert the function returns None
-    assert result is None
 
-    test_df = pd.DataFrame(
+def test_ray_cluster_manager_widgets_init(mocker, capsys):
+    namespace = "default"
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+    test_ray_clusters_df = pd.DataFrame(
         {
-            "Name": ["test-cluster"],
-            "Namespace": ["default"],
-            "Num Workers": ["1"],
-            "Head GPUs": ["0"],
-            "Worker GPUs": ["0"],
-            "Head CPU Req~Lim": ["1~1"],
-            "Head Memory Req~Lim": ["1Gi~1Gi"],
-            "Worker CPU Req~Lim": ["1~1"],
-            "Worker Memory Req~Lim": ["1Gi~1Gi"],
-            "status": ['Ready ✓'],
+            "Name": ["test-cluster-1", "test-cluster-2"],
+            "Namespace": [namespace, namespace],
+            "Num Workers": ["1", "2"],
+            "Head GPUs": ["0", "0"],
+            "Worker GPUs": ["0", "0"],
+            "Head CPU Req~Lim": ["1~1", "1~1"],
+            "Head Memory Req~Lim": ["1Gi~1Gi", "1Gi~1Gi"],
+            "Worker CPU Req~Lim": ["1~1", "1~1"],
+            "Worker Memory Req~Lim": ["1Gi~1Gi", "1Gi~1Gi"],
+            "status": [
+                'Ready ✓',
+                'Ready ✓',
+            ],
         }
     )
-
-    # Mock the _fetch_cluster_data function to return a test DataFrame
+    mock_fetch_cluster_data = mocker.patch(
+        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data",
+        return_value=test_ray_clusters_df,
+    )
     mocker.patch(
-        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data", return_value=test_df
+        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
+        return_value=namespace,
+    )
+    mock_delete_cluster = mocker.patch(
+        "codeflare_sdk.common.widgets.widgets._delete_cluster"
     )
 
-    # Mock the Cluster class and related methods
-    mocker.patch("codeflare_sdk.ray.cluster.Cluster")
-    mocker.patch("codeflare_sdk.ray.cluster.ClusterConfiguration")
+    # # Mock ToggleButtons
+    mock_toggle_buttons = mocker.patch("ipywidgets.ToggleButtons")
+    mock_button = mocker.patch("ipywidgets.Button")
+    mock_output = mocker.patch("ipywidgets.Output")
 
-    with patch("ipywidgets.ToggleButtons") as MockToggleButtons, patch(
-        "ipywidgets.Button"
-    ) as MockButton, patch("ipywidgets.Output") as MockOutput, patch(
-        "ipywidgets.HBox"
-    ), patch(
-        "ipywidgets.VBox"
-    ), patch(
-        "IPython.display.display"
-    ) as mock_display, patch(
-        "IPython.display.HTML"
-    ), patch(
-        "codeflare_sdk.common.widgets.widgets.Javascript"
-    ) as mock_javascript:
-        # Create mock widget instances
-        mock_toggle = MagicMock()
-        mock_delete_button = MagicMock()
-        mock_list_jobs_button = MagicMock()
-        mock_ray_dashboard_button = MagicMock()
-        mock_output = MagicMock()
-
-        # Set the return values for the mocked widgets
-        MockToggleButtons.return_value = mock_toggle
-        MockButton.side_effect = [
-            mock_delete_button,
-            mock_list_jobs_button,
-            mock_ray_dashboard_button,
-        ]
-        MockOutput.return_value = mock_output
+    # Initialize the RayClusterManagerWidgets instance
+    ray_cluster_manager_instance = cf_widgets.RayClusterManagerWidgets(
+        ray_clusters_df=test_ray_clusters_df, namespace=namespace
+    )
 
-        # Call the function under test
-        cf_widgets.view_clusters()
+    # Assertions for DataFrame and attributes
+    assert ray_cluster_manager_instance.ray_clusters_df.equals(
+        test_ray_clusters_df
+    ), "ray_clusters_df attribute does not match the input DataFrame"
+    assert (
+        ray_cluster_manager_instance.namespace == namespace
+    ), f"Expected namespace to be '{namespace}', but got '{ray_cluster_manager_instance.namespace}'"
+    assert (
+        ray_cluster_manager_instance.classification_widget.options
+        == test_ray_clusters_df["Name"].tolist()
+    ), "classification_widget options do not match the input DataFrame"
 
-        # Simulate selecting a cluster
-        mock_toggle.value = "test-cluster"
-        selection_change = {"new": "test-cluster"}
-        cf_widgets._on_cluster_click(
-            selection_change, mock_output, "default", mock_toggle
-        )
+    # Assertions for widgets
+    mock_toggle_buttons.assert_called_once_with(
+        options=test_ray_clusters_df["Name"].tolist(),
+        value=test_ray_clusters_df["Name"].tolist()[0],
+        description="Select an existing cluster:",
+    )
+    assert (
+        ray_cluster_manager_instance.classification_widget
+        == mock_toggle_buttons.return_value
+    ), "classification_widget is not set correctly"
+    assert (
+        ray_cluster_manager_instance.delete_button == mock_button.return_value
+    ), "delete_button is not set correctly"
+    assert (
+        ray_cluster_manager_instance.list_jobs_button == mock_button.return_value
+    ), "list_jobs_button is not set correctly"
+    assert (
+        ray_cluster_manager_instance.ray_dashboard_button == mock_button.return_value
+    ), "ray_dashboard_button is not set correctly"
+    assert (
+        ray_cluster_manager_instance.raycluster_data_output == mock_output.return_value
+    ), "raycluster_data_output is not set correctly"
+    assert (
+        ray_cluster_manager_instance.user_output == mock_output.return_value
+    ), "user_output is not set correctly"
+    assert (
+        ray_cluster_manager_instance.url_output == mock_output.return_value
+    ), "url_output is not set correctly"
 
-        # Assert that the toggle options are set correctly
-        mock_toggle.observe.assert_called()
+    ### Test button click events
+    mock_delete_button = MagicMock()
+    mock_list_jobs_button = MagicMock()
+    mock_ray_dashboard_button = MagicMock()
 
-        # Simulate clicking the list jobs button
-        cf_widgets._on_list_jobs_button_click(
-            None, mock_toggle, test_df, mock_output, mock_output
-        )
-        mock_javascript.assert_called_once()
+    mock_javascript = mocker.patch("codeflare_sdk.common.widgets.widgets.Javascript")
+    ray_cluster_manager_instance.url_output = MagicMock()
 
-        # Simulate clicking the Ray dashboard button
-        cf_widgets._on_ray_dashboard_button_click(
-            None, mock_toggle, test_df, mock_output, mock_output
-        )
-        mock_javascript.call_count = 2
+    mock_dashboard_uri = mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.cluster_dashboard_uri",
+        return_value="https://ray-dashboard-test-cluster-1-ns.apps.cluster.awsroute.org",
+    )
 
-        mocker.patch(
-            "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object",
-        )
-        mock_response = mocker.MagicMock()
-        mock_response.status = 404
-        mock_exception = ApiException(http_resp=mock_response)
-        mocker.patch(
-            "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
-            side_effect=mock_exception,
-        )
+    # Simulate clicking the list jobs button
+    ray_cluster_manager_instance.classification_widget.value = "test-cluster-1"
+    ray_cluster_manager_instance._on_list_jobs_button_click(mock_list_jobs_button)
 
-        # Simulate clicking the delete button
-        cf_widgets._on_delete_button_click(
-            None,
-            mock_toggle,
-            test_df,
-            mock_output,
-            mock_output,
-            mock_delete_button,
-            mock_list_jobs_button,
-            mock_ray_dashboard_button,
-        )
-        MockButton.call_count = 3
+    captured = capsys.readouterr()
+    assert (
+        f"Opening Ray Jobs Dashboard for test-cluster-1 cluster:\n{mock_dashboard_uri.return_value}/#/jobs"
+        in captured.out
+    )
+    mock_javascript.assert_called_with(
+        f'window.open("{mock_dashboard_uri.return_value}/#/jobs", "_blank");'
+    )
+
+    # Simulate clicking the Ray dashboard button
+    ray_cluster_manager_instance.classification_widget.value = "test-cluster-1"
+    ray_cluster_manager_instance._on_ray_dashboard_button_click(
+        mock_ray_dashboard_button
+    )
+
+    captured = capsys.readouterr()
+    assert (
+        f"Opening Ray Dashboard for test-cluster-1 cluster:\n{mock_dashboard_uri.return_value}"
+        in captured.out
+    )
+    mock_javascript.assert_called_with(
+        f'window.open("{mock_dashboard_uri.return_value}", "_blank");'
+    )
+
+    # Simulate clicking the delete button
+    ray_cluster_manager_instance.classification_widget.value = "test-cluster-1"
+    ray_cluster_manager_instance._on_delete_button_click(mock_delete_button)
+    mock_delete_cluster.assert_called_with("test-cluster-1", namespace)
+
+    mock_fetch_cluster_data.return_value = pd.DataFrame()
+    ray_cluster_manager_instance.classification_widget.value = "test-cluster-2"
+    ray_cluster_manager_instance._on_delete_button_click(mock_delete_button)
+    mock_delete_cluster.assert_called_with("test-cluster-2", namespace)
+
+    # Assert on deletion that the dataframe is empty
+    assert (
+        ray_cluster_manager_instance.ray_clusters_df.empty
+    ), "Expected DataFrame to be empty after deletion"
+
+    captured = capsys.readouterr()
+    assert (
+        f"Cluster test-cluster-1 in the {namespace} namespace was deleted successfully."
+        in captured.out
+    )
 
 
 def test_fetch_cluster_data(mocker):

From 455bea294b1835d17b2c0470a897ed2577c94389 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Fri, 4 Oct 2024 12:43:09 +0100
Subject: [PATCH 121/254] Add comments to widgets class and functions

---
 src/codeflare_sdk/common/widgets/widgets.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/src/codeflare_sdk/common/widgets/widgets.py b/src/codeflare_sdk/common/widgets/widgets.py
index cf7bccf9..8a13a4d4 100644
--- a/src/codeflare_sdk/common/widgets/widgets.py
+++ b/src/codeflare_sdk/common/widgets/widgets.py
@@ -36,6 +36,12 @@
 
 
 class RayClusterManagerWidgets:
+    """
+    The RayClusterManagerWidgets class is responsible for initialising the ToggleButtons, Button, and Output widgets.
+    It also handles the user interactions and displays the cluster details.
+    Used when calling the view_clusters function.
+    """
+
     def __init__(self, ray_clusters_df: pd.DataFrame, namespace: str = None):
         from ...ray.cluster.cluster import get_current_namespace
 
@@ -74,6 +80,10 @@ def __init__(self, ray_clusters_df: pd.DataFrame, namespace: str = None):
         self._trigger_initial_display()
 
     def _initialize_callbacks(self):
+        """
+        Called upon RayClusterManagerWidgets initialisation.
+        Sets up event handlers and callbacks for UI interactions.
+        """
         # Observe cluster selection
         self.classification_widget.observe(
             lambda selection_change: self._on_cluster_click(selection_change),
@@ -87,6 +97,10 @@ def _initialize_callbacks(self):
         )
 
     def _trigger_initial_display(self):
+        """
+        Called upon RayClusterManagerWidgets initialisation.
+        Triggers an initial display update with the current cluster value.
+        """
         # Trigger display with initial cluster value
         initial_value = self.classification_widget.value
         self._on_cluster_click({"new": initial_value})

From 5cbe8a23447a144b6b7ead78af5576ef4706dbc6 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Fri, 4 Oct 2024 15:25:23 +0100
Subject: [PATCH 122/254] Remove unused imports and re-organise in unit_test.py

---
 tests/unit_test.py | 104 ++++++++++++++++++++-------------------------
 1 file changed, 46 insertions(+), 58 deletions(-)

diff --git a/tests/unit_test.py b/tests/unit_test.py
index 4c103e01..1f11643b 100644
--- a/tests/unit_test.py
+++ b/tests/unit_test.py
@@ -1,4 +1,4 @@
-# Copyright 2024 IBM, Red Hat
+# Copyright 2022 IBM, Red Hat
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -13,86 +13,73 @@
 # limitations under the License.
 
 
-from pathlib import Path
-import sys
 import filecmp
 import os
 import re
+import sys
 import uuid
-from io import StringIO
-
-from codeflare_sdk.ray.cluster import cluster
+from pathlib import Path
 
 parent = Path(__file__).resolve().parents[1]
 aw_dir = os.path.expanduser("~/.codeflare/resources/")
 sys.path.append(str(parent) + "/src")
 
-from kubernetes import client, config, dynamic
+from unittest.mock import MagicMock, patch
+
+import openshift
+import pandas as pd
+import pytest
+import ray
+import yaml
+from kubernetes import client, config
+from pytest_mock import MockerFixture
+from ray.job_submission import JobSubmissionClient
+
+import codeflare_sdk.common.widgets.widgets as cf_widgets
+from codeflare_sdk.common.kubernetes_cluster import (
+    Authentication,
+    KubeConfigFileAuthentication,
+    TokenAuthentication,
+    config_check,
+)
+from codeflare_sdk.common.utils.generate_cert import (
+    export_env,
+    generate_ca_cert,
+    generate_tls_cert,
+)
 from codeflare_sdk.ray.appwrapper.awload import AWManager
+from codeflare_sdk.ray.appwrapper.status import AppWrapper, AppWrapperStatus
+from codeflare_sdk.ray.client.ray_jobs import RayJobClient
 from codeflare_sdk.ray.cluster.cluster import (
     Cluster,
     ClusterConfiguration,
+    _app_wrapper_status,
+    _copy_to_ray,
     _map_to_ray_cluster,
+    _ray_cluster_status,
+    get_cluster,
     list_all_clusters,
     list_all_queued,
-    _copy_to_ray,
-    get_cluster,
-    _app_wrapper_status,
-    _ray_cluster_status,
-)
-from codeflare_sdk.common.kubernetes_cluster import (
-    TokenAuthentication,
-    Authentication,
-    KubeConfigFileAuthentication,
-    config_check,
 )
+from codeflare_sdk.ray.cluster.generate_yaml import gen_names, is_openshift_cluster
 from codeflare_sdk.ray.cluster.pretty_print import (
-    print_no_resources_found,
     print_app_wrappers_status,
     print_cluster_status,
     print_clusters,
-)
-from codeflare_sdk.ray.appwrapper.status import (
-    AppWrapper,
-    AppWrapperStatus,
+    print_no_resources_found,
 )
 from codeflare_sdk.ray.cluster.status import (
+    CodeFlareClusterStatus,
     RayCluster,
     RayClusterStatus,
-    CodeFlareClusterStatus,
 )
-from codeflare_sdk.common.utils.generate_cert import (
-    generate_ca_cert,
-    generate_tls_cert,
-    export_env,
-)
-
 from tests.unit_test_support import (
-    createClusterWithConfig,
     createClusterConfig,
+    createClusterWithConfig,
     createClusterWrongType,
     get_package_and_version,
 )
 
-import codeflare_sdk.common.kubernetes_cluster.kube_api_helpers
-from codeflare_sdk.ray.cluster.generate_yaml import (
-    gen_names,
-    is_openshift_cluster,
-)
-
-import codeflare_sdk.common.widgets.widgets as cf_widgets
-import pandas as pd
-
-import openshift
-from openshift.selector import Selector
-import ray
-import pytest
-import yaml
-from unittest.mock import MagicMock, patch
-from pytest_mock import MockerFixture
-from ray.job_submission import JobSubmissionClient
-from codeflare_sdk.ray.client.ray_jobs import RayJobClient
-
 # For mocking openshift client results
 fake_res = openshift.Result("fake")
 
@@ -156,7 +143,7 @@ def test_token_auth_creation():
         assert token_auth.skip_tls == False
         assert token_auth.ca_cert_path == f"{parent}/tests/auth-test.crt"
 
-    except Exception as e:
+    except Exception:
         assert 0 == 1
 
 
@@ -204,7 +191,7 @@ def test_config_check_no_config_file(mocker):
     mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.config_path", None)
     mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
 
-    with pytest.raises(PermissionError) as e:
+    with pytest.raises(PermissionError):
         config_check()
 
 
@@ -282,7 +269,7 @@ def test_config_creation():
 
 def test_config_creation_wrong_type():
     with pytest.raises(TypeError):
-        config = createClusterWrongType()
+        createClusterWrongType()
 
 
 def test_cluster_creation(mocker):
@@ -890,7 +877,7 @@ def test_ray_job_wrapping(mocker):
 def test_print_no_resources(capsys):
     try:
         print_no_resources_found()
-    except:
+    except Exception:
         assert 1 == 0
     captured = capsys.readouterr()
     assert captured.out == (
@@ -903,7 +890,7 @@ def test_print_no_resources(capsys):
 def test_print_no_cluster(capsys):
     try:
         print_cluster_status(None)
-    except:
+    except Exception:
         assert 1 == 0
     captured = capsys.readouterr()
     assert captured.out == (
@@ -924,7 +911,7 @@ def test_print_appwrappers(capsys):
     )
     try:
         print_app_wrappers_status([aw1, aw2])
-    except:
+    except Exception:
         assert 1 == 0
     captured = capsys.readouterr()
     assert captured.out == (
@@ -997,7 +984,7 @@ def test_ray_details(mocker, capsys):
         print_clusters([ray1, ray2])
         print_cluster_status(ray1)
         print_cluster_status(ray2)
-    except:
+    except Exception:
         assert 0 == 1
     captured = capsys.readouterr()
     assert captured.out == (
@@ -2602,13 +2589,14 @@ def test_AWManager_submit_remove(mocker, capsys):
     assert testaw.submitted == False
 
 
-from cryptography.x509 import load_pem_x509_certificate
 import base64
+
 from cryptography.hazmat.primitives.serialization import (
-    load_pem_private_key,
     Encoding,
     PublicFormat,
+    load_pem_private_key,
 )
+from cryptography.x509 import load_pem_x509_certificate
 
 
 def test_generate_ca_cert():

From 8537c2d8d067be7d66e37b1e5c27752bbe8724a6 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" 
Date: Fri, 4 Oct 2024 14:57:55 +0000
Subject: [PATCH 123/254] Updated coverage.svg

---
 coverage.svg | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/coverage.svg b/coverage.svg
index c1490035..607d3de4 100644
--- a/coverage.svg
+++ b/coverage.svg
@@ -15,7 +15,7 @@
     
         coverage
         coverage
-        90%
-        90%
+        91%
+        91%
     
 

From 0d445fe8dbf40049b9f9bad24fe0d7e2647c6b1e Mon Sep 17 00:00:00 2001
From: Varsha Prasad Narsing 
Date: Mon, 30 Sep 2024 14:58:50 -0700
Subject: [PATCH 124/254] Add codecov for unit test coverage

---
 .github/workflows/unit-tests.yml | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml
index 5d12791b..bb010e2c 100755
--- a/.github/workflows/unit-tests.yml
+++ b/.github/workflows/unit-tests.yml
@@ -29,3 +29,8 @@ jobs:
           coverage run -m --source=src pytest -v tests/unit_test.py
           coverage=$(coverage report -m | tail -1 | tail -c 4 | head -c 2)
           if (( $coverage < 90 )); then echo "Coverage failed at ${coverage}%"; exit 1; else echo "Coverage passed, ${coverage}%"; fi
+        continue-on-error: true
+      - name: Upload to Codecov
+        uses: codecov/codecov-action@v4
+        with:
+          token: ${{ secrets.CODECOV_TOKEN }}

From 73b8cb750a6ef60c35010ae43ac330c21393f88c Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Mon, 7 Oct 2024 10:28:19 +0100
Subject: [PATCH 125/254] fix: skip_tls authentication functionality

Signed-off-by: Bobbins228 
---
 src/codeflare_sdk/common/kubernetes_cluster/auth.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/src/codeflare_sdk/common/kubernetes_cluster/auth.py b/src/codeflare_sdk/common/kubernetes_cluster/auth.py
index 2525d2e3..e6146093 100644
--- a/src/codeflare_sdk/common/kubernetes_cluster/auth.py
+++ b/src/codeflare_sdk/common/kubernetes_cluster/auth.py
@@ -109,14 +109,15 @@ def login(self) -> str:
             configuration.host = self.server
             configuration.api_key["authorization"] = self.token
 
-            api_client = client.ApiClient(configuration)
-            if not self.skip_tls:
-                _client_with_cert(api_client, self.ca_cert_path)
-            else:
+            if self.skip_tls:
                 urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
                 print("Insecure request warnings have been disabled")
                 configuration.verify_ssl = False
 
+            api_client = client.ApiClient(configuration)
+            if not self.skip_tls:
+                _client_with_cert(api_client, self.ca_cert_path)
+
             client.AuthenticationApi(api_client).get_api_group()
             config_path = None
             return "Logged into %s" % self.server

From bff13a5eede423ac2fcc3f68a4ce3638eaf105fa Mon Sep 17 00:00:00 2001
From: Kevin 
Date: Tue, 8 Oct 2024 16:11:04 -0400
Subject: [PATCH 126/254] bugfix: int being interpreted directly to bytes not
 GB

Signed-off-by: Kevin 
---
 src/codeflare_sdk/ray/cluster/config.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index 3c59d593..a9fe4408 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -120,9 +120,9 @@ def __post_init__(self):
             )
 
         self._validate_types()
+        self._memory_to_resource()
         self._memory_to_string()
         self._str_mem_no_unit_add_GB()
-        self._memory_to_resource()
         self._cpu_to_resource()
         self._gpu_to_resource()
         self._combine_extended_resource_mapping()

From 7aa79e86c3a43bd7e7a1f1f1c374003e16356ef3 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Tue, 8 Oct 2024 16:27:59 +0100
Subject: [PATCH 127/254] refactor: codeflare sdk unit tests

sort unit tests into individual files and made minor enhancements
---
 pyproject.toml                                |    2 +
 .../common/kubernetes_cluster/test_auth.py    |  162 +
 src/codeflare_sdk/common/kueue/test_kueue.py  |  137 +
 .../common/utils/test_generate_cert.py        |  114 +
 .../common/utils/unit_test_support.py         |  383 ++
 .../common/widgets/test_widgets.py            |  469 +++
 .../ray/appwrapper/test_awload.py             |   88 +
 .../ray/appwrapper/test_status.py             |  104 +
 src/codeflare_sdk/ray/client/test_ray_jobs.py |  173 +
 src/codeflare_sdk/ray/cluster/test_cluster.py |  610 +++
 src/codeflare_sdk/ray/cluster/test_config.py  |  170 +
 .../ray/cluster/test_generate_yaml.py         |   34 +
 .../ray/cluster/test_pretty_print.py          |  208 +
 src/codeflare_sdk/ray/cluster/test_status.py  |  114 +
 tests/demo_test.py                            |   62 -
 tests/func_test.py                            |   21 -
 .../appwrapper}/test-case-bad.yaml            |    0
 .../kueue/aw_kueue.yaml}                      |   16 +-
 .../kueue/ray_cluster_kueue.yaml              |  157 +
 .../ray/default-appwrapper.yaml               |  155 +
 .../ray/default-ray-cluster.yaml}             |   30 +-
 .../ray/unit-test-all-params.yaml}            |   54 +-
 .../support_clusters/test-aw-a.yaml}          |   16 +-
 .../support_clusters/test-aw-b.yaml           |  157 +
 .../support_clusters/test-rc-a.yaml}          |   34 +-
 .../support_clusters/test-rc-b.yaml           |  148 +
 tests/unit_test.py                            | 3350 -----------------
 tests/unit_test_support.py                    |   60 -
 28 files changed, 3455 insertions(+), 3573 deletions(-)
 create mode 100644 src/codeflare_sdk/common/kubernetes_cluster/test_auth.py
 create mode 100644 src/codeflare_sdk/common/kueue/test_kueue.py
 create mode 100644 src/codeflare_sdk/common/utils/test_generate_cert.py
 create mode 100644 src/codeflare_sdk/common/utils/unit_test_support.py
 create mode 100644 src/codeflare_sdk/common/widgets/test_widgets.py
 create mode 100644 src/codeflare_sdk/ray/appwrapper/test_awload.py
 create mode 100644 src/codeflare_sdk/ray/appwrapper/test_status.py
 create mode 100644 src/codeflare_sdk/ray/client/test_ray_jobs.py
 create mode 100644 src/codeflare_sdk/ray/cluster/test_cluster.py
 create mode 100644 src/codeflare_sdk/ray/cluster/test_config.py
 create mode 100644 src/codeflare_sdk/ray/cluster/test_generate_yaml.py
 create mode 100644 src/codeflare_sdk/ray/cluster/test_pretty_print.py
 create mode 100644 src/codeflare_sdk/ray/cluster/test_status.py
 delete mode 100644 tests/demo_test.py
 delete mode 100644 tests/func_test.py
 rename tests/{ => test_cluster_yamls/appwrapper}/test-case-bad.yaml (100%)
 rename tests/{test-case.yaml => test_cluster_yamls/kueue/aw_kueue.yaml} (93%)
 create mode 100644 tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
 create mode 100644 tests/test_cluster_yamls/ray/default-appwrapper.yaml
 rename tests/{test-case-no-kueue-no-aw.yaml => test_cluster_yamls/ray/default-ray-cluster.yaml} (88%)
 rename tests/{test-case-custom-image.yaml => test_cluster_yamls/ray/unit-test-all-params.yaml} (83%)
 rename tests/{test-default-appwrapper.yaml => test_cluster_yamls/support_clusters/test-aw-a.yaml} (95%)
 create mode 100644 tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
 rename tests/{test-case-no-mcad.yamls => test_cluster_yamls/support_clusters/test-rc-a.yaml} (86%)
 create mode 100644 tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
 delete mode 100644 tests/unit_test.py
 delete mode 100644 tests/unit_test_support.py

diff --git a/pyproject.toml b/pyproject.toml
index 7417116d..37eb17a4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -57,3 +57,5 @@ markers = [
     "nvidia_gpu"
 ]
 addopts = "--timeout=900"
+testpaths = ["src/codeflare_sdk"]
+collect_ignore = ["src/codeflare_sdk/common/utils/unit_test_support.py"]
diff --git a/src/codeflare_sdk/common/kubernetes_cluster/test_auth.py b/src/codeflare_sdk/common/kubernetes_cluster/test_auth.py
new file mode 100644
index 00000000..be9e90f5
--- /dev/null
+++ b/src/codeflare_sdk/common/kubernetes_cluster/test_auth.py
@@ -0,0 +1,162 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from codeflare_sdk.common.kubernetes_cluster import (
+    Authentication,
+    KubeConfigFileAuthentication,
+    TokenAuthentication,
+    config_check,
+)
+from kubernetes import client, config
+import os
+from pathlib import Path
+import pytest
+
+parent = Path(__file__).resolve().parents[4]  # project directory
+
+
+def test_token_auth_creation():
+    token_auth = TokenAuthentication(token="token", server="server")
+    assert token_auth.token == "token"
+    assert token_auth.server == "server"
+    assert token_auth.skip_tls == False
+    assert token_auth.ca_cert_path == None
+
+    token_auth = TokenAuthentication(token="token", server="server", skip_tls=True)
+    assert token_auth.token == "token"
+    assert token_auth.server == "server"
+    assert token_auth.skip_tls == True
+    assert token_auth.ca_cert_path == None
+
+    os.environ["CF_SDK_CA_CERT_PATH"] = "/etc/pki/tls/custom-certs/ca-bundle.crt"
+    token_auth = TokenAuthentication(token="token", server="server", skip_tls=False)
+    assert token_auth.token == "token"
+    assert token_auth.server == "server"
+    assert token_auth.skip_tls == False
+    assert token_auth.ca_cert_path == "/etc/pki/tls/custom-certs/ca-bundle.crt"
+    os.environ.pop("CF_SDK_CA_CERT_PATH")
+
+    token_auth = TokenAuthentication(
+        token="token",
+        server="server",
+        skip_tls=False,
+        ca_cert_path=f"{parent}/tests/auth-test.crt",
+    )
+    assert token_auth.token == "token"
+    assert token_auth.server == "server"
+    assert token_auth.skip_tls == False
+    assert token_auth.ca_cert_path == f"{parent}/tests/auth-test.crt"
+
+
+def test_token_auth_login_logout(mocker):
+    mocker.patch.object(client, "ApiClient")
+
+    token_auth = TokenAuthentication(
+        token="testtoken", server="testserver:6443", skip_tls=False, ca_cert_path=None
+    )
+    assert token_auth.login() == ("Logged into testserver:6443")
+    assert token_auth.logout() == ("Successfully logged out of testserver:6443")
+
+
+def test_token_auth_login_tls(mocker):
+    mocker.patch.object(client, "ApiClient")
+
+    token_auth = TokenAuthentication(
+        token="testtoken", server="testserver:6443", skip_tls=True, ca_cert_path=None
+    )
+    assert token_auth.login() == ("Logged into testserver:6443")
+    token_auth = TokenAuthentication(
+        token="testtoken", server="testserver:6443", skip_tls=False, ca_cert_path=None
+    )
+    assert token_auth.login() == ("Logged into testserver:6443")
+    token_auth = TokenAuthentication(
+        token="testtoken",
+        server="testserver:6443",
+        skip_tls=False,
+        ca_cert_path=f"{parent}/tests/auth-test.crt",
+    )
+    assert token_auth.login() == ("Logged into testserver:6443")
+
+    os.environ["CF_SDK_CA_CERT_PATH"] = f"{parent}/tests/auth-test.crt"
+    token_auth = TokenAuthentication(
+        token="testtoken",
+        server="testserver:6443",
+        skip_tls=False,
+    )
+    assert token_auth.login() == ("Logged into testserver:6443")
+
+
+def test_config_check_no_config_file(mocker):
+    mocker.patch("os.path.expanduser", return_value="/mock/home/directory")
+    mocker.patch("os.path.isfile", return_value=False)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.config_path", None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
+
+    with pytest.raises(PermissionError):
+        config_check()
+
+
+def test_config_check_with_incluster_config(mocker):
+    mocker.patch("os.path.expanduser", return_value="/mock/home/directory")
+    mocker.patch("os.path.isfile", return_value=False)
+    mocker.patch.dict(os.environ, {"KUBERNETES_PORT": "number"})
+    mocker.patch("kubernetes.config.load_incluster_config", side_effect=None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.config_path", None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
+
+    result = config_check()
+    assert result == None
+
+
+def test_config_check_with_existing_config_file(mocker):
+    mocker.patch("os.path.expanduser", return_value="/mock/home/directory")
+    mocker.patch("os.path.isfile", return_value=True)
+    mocker.patch("kubernetes.config.load_kube_config", side_effect=None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.config_path", None)
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
+
+    result = config_check()
+    assert result == None
+
+
+def test_config_check_with_config_path_and_no_api_client(mocker):
+    mocker.patch(
+        "codeflare_sdk.common.kubernetes_cluster.auth.config_path", "/mock/config/path"
+    )
+    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
+    result = config_check()
+    assert result == "/mock/config/path"
+
+
+def test_load_kube_config(mocker):
+    mocker.patch.object(config, "load_kube_config")
+    kube_config_auth = KubeConfigFileAuthentication(
+        kube_config_path="/path/to/your/config"
+    )
+    response = kube_config_auth.load_kube_config()
+
+    assert (
+        response
+        == "Loaded user config file at path %s" % kube_config_auth.kube_config_path
+    )
+
+    kube_config_auth = KubeConfigFileAuthentication(kube_config_path=None)
+    response = kube_config_auth.load_kube_config()
+    assert response == "Please specify a config file path"
+
+
+def test_auth_coverage():
+    abstract = Authentication()
+    abstract.login()
+    abstract.logout()
diff --git a/src/codeflare_sdk/common/kueue/test_kueue.py b/src/codeflare_sdk/common/kueue/test_kueue.py
new file mode 100644
index 00000000..a4e984c3
--- /dev/null
+++ b/src/codeflare_sdk/common/kueue/test_kueue.py
@@ -0,0 +1,137 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from ..utils.unit_test_support import get_local_queue, createClusterConfig
+from unittest.mock import patch
+from codeflare_sdk.ray.cluster.cluster import Cluster, ClusterConfiguration
+import yaml
+import os
+import filecmp
+from pathlib import Path
+
+parent = Path(__file__).resolve().parents[4]  # project directory
+aw_dir = os.path.expanduser("~/.codeflare/resources/")
+
+
+def test_none_local_queue(mocker):
+    mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object")
+    config = ClusterConfiguration(name="unit-test-aw-kueue", namespace="ns")
+    config.name = "unit-test-aw-kueue"
+    config.local_queue = None
+
+    cluster = Cluster(config)
+    assert cluster.config.local_queue == None
+
+
+def test_cluster_creation_no_aw_local_queue(mocker):
+    # With written resources
+    # Create Ray Cluster with local queue specified
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
+        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+    config = createClusterConfig()
+    config.name = "unit-test-cluster-kueue"
+    config.write_to_file = True
+    config.local_queue = "local-queue-default"
+    cluster = Cluster(config)
+    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster-kueue.yaml"
+    assert cluster.app_wrapper_name == "unit-test-cluster-kueue"
+    assert filecmp.cmp(
+        f"{aw_dir}unit-test-cluster-kueue.yaml",
+        f"{parent}/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml",
+        shallow=True,
+    )
+
+    # With resources loaded in memory, no Local Queue specified.
+    config = createClusterConfig()
+    config.name = "unit-test-cluster-kueue"
+    config.write_to_file = False
+    cluster = Cluster(config)
+
+    test_rc = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader)
+    with open(f"{parent}/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml") as f:
+        expected_rc = yaml.load(f, Loader=yaml.FullLoader)
+        assert test_rc == expected_rc
+
+
+def test_aw_creation_local_queue(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
+        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+    config = createClusterConfig()
+    config.name = "unit-test-aw-kueue"
+    config.appwrapper = True
+    config.write_to_file = True
+    config.local_queue = "local-queue-default"
+    cluster = Cluster(config)
+    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-aw-kueue.yaml"
+    assert cluster.app_wrapper_name == "unit-test-aw-kueue"
+    assert filecmp.cmp(
+        f"{aw_dir}unit-test-aw-kueue.yaml",
+        f"{parent}/tests/test_cluster_yamls/kueue/aw_kueue.yaml",
+        shallow=True,
+    )
+
+    # With resources loaded in memory, no Local Queue specified.
+    config = createClusterConfig()
+    config.name = "unit-test-aw-kueue"
+    config.appwrapper = True
+    config.write_to_file = False
+    cluster = Cluster(config)
+
+    test_rc = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader)
+    with open(f"{parent}/tests/test_cluster_yamls/kueue/aw_kueue.yaml") as f:
+        expected_rc = yaml.load(f, Loader=yaml.FullLoader)
+        assert test_rc == expected_rc
+
+
+def test_get_local_queue_exists_fail(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
+        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+    config = createClusterConfig()
+    config.name = "unit-test-aw-kueue"
+    config.appwrapper = True
+    config.write_to_file = True
+    config.local_queue = "local_queue_doesn't_exist"
+    try:
+        Cluster(config)
+    except ValueError as e:
+        assert (
+            str(e)
+            == "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
+        )
+
+
+# Make sure to always keep this function last
+def test_cleanup():
+    os.remove(f"{aw_dir}unit-test-cluster-kueue.yaml")
+    os.remove(f"{aw_dir}unit-test-aw-kueue.yaml")
diff --git a/src/codeflare_sdk/common/utils/test_generate_cert.py b/src/codeflare_sdk/common/utils/test_generate_cert.py
new file mode 100644
index 00000000..b4439c20
--- /dev/null
+++ b/src/codeflare_sdk/common/utils/test_generate_cert.py
@@ -0,0 +1,114 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import base64
+
+from cryptography.hazmat.primitives.serialization import (
+    Encoding,
+    PublicFormat,
+    load_pem_private_key,
+)
+from cryptography.x509 import load_pem_x509_certificate
+import os
+from codeflare_sdk.common.utils.generate_cert import (
+    export_env,
+    generate_ca_cert,
+    generate_tls_cert,
+)
+from kubernetes import client
+
+
+def test_generate_ca_cert():
+    """
+    test the function codeflare_sdk.common.utils.generate_ca_cert generates the correct outputs
+    """
+    key, certificate = generate_ca_cert()
+    cert = load_pem_x509_certificate(base64.b64decode(certificate))
+    private_pub_key_bytes = (
+        load_pem_private_key(base64.b64decode(key), password=None)
+        .public_key()
+        .public_bytes(Encoding.PEM, PublicFormat.SubjectPublicKeyInfo)
+    )
+    cert_pub_key_bytes = cert.public_key().public_bytes(
+        Encoding.PEM, PublicFormat.SubjectPublicKeyInfo
+    )
+    assert type(key) == str
+    assert type(certificate) == str
+    # Veirfy ca.cert is self signed
+    assert cert.verify_directly_issued_by(cert) == None
+    # Verify cert has the public key bytes from the private key
+    assert cert_pub_key_bytes == private_pub_key_bytes
+
+
+def secret_ca_retreival(secret_name, namespace):
+    ca_private_key_bytes, ca_cert = generate_ca_cert()
+    data = {"ca.crt": ca_cert, "ca.key": ca_private_key_bytes}
+    assert secret_name == "ca-secret-cluster"
+    assert namespace == "namespace"
+    return client.models.V1Secret(data=data)
+
+
+def test_generate_tls_cert(mocker):
+    """
+    test the function codeflare_sdk.common.utils.generate_ca_cert generates the correct outputs
+    """
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "codeflare_sdk.common.utils.generate_cert.get_secret_name",
+        return_value="ca-secret-cluster",
+    )
+    mocker.patch(
+        "kubernetes.client.CoreV1Api.read_namespaced_secret",
+        side_effect=secret_ca_retreival,
+    )
+
+    generate_tls_cert("cluster", "namespace")
+    assert os.path.exists("tls-cluster-namespace")
+    assert os.path.exists(os.path.join("tls-cluster-namespace", "ca.crt"))
+    assert os.path.exists(os.path.join("tls-cluster-namespace", "tls.crt"))
+    assert os.path.exists(os.path.join("tls-cluster-namespace", "tls.key"))
+
+    # verify the that the signed tls.crt is issued by the ca_cert (root cert)
+    with open(os.path.join("tls-cluster-namespace", "tls.crt"), "r") as f:
+        tls_cert = load_pem_x509_certificate(f.read().encode("utf-8"))
+    with open(os.path.join("tls-cluster-namespace", "ca.crt"), "r") as f:
+        root_cert = load_pem_x509_certificate(f.read().encode("utf-8"))
+    assert tls_cert.verify_directly_issued_by(root_cert) == None
+
+
+def test_export_env():
+    """
+    test the function codeflare_sdk.common.utils.generate_ca_cert.export_ev generates the correct outputs
+    """
+    tls_dir = "cluster"
+    ns = "namespace"
+    export_env(tls_dir, ns)
+    assert os.environ["RAY_USE_TLS"] == "1"
+    assert os.environ["RAY_TLS_SERVER_CERT"] == os.path.join(
+        os.getcwd(), f"tls-{tls_dir}-{ns}", "tls.crt"
+    )
+    assert os.environ["RAY_TLS_SERVER_KEY"] == os.path.join(
+        os.getcwd(), f"tls-{tls_dir}-{ns}", "tls.key"
+    )
+    assert os.environ["RAY_TLS_CA_CERT"] == os.path.join(
+        os.getcwd(), f"tls-{tls_dir}-{ns}", "ca.crt"
+    )
+
+
+# Make sure to always keep this function last
+def test_cleanup():
+    os.remove("tls-cluster-namespace/ca.crt")
+    os.remove("tls-cluster-namespace/tls.crt")
+    os.remove("tls-cluster-namespace/tls.key")
+    os.rmdir("tls-cluster-namespace")
diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
new file mode 100644
index 00000000..61a16260
--- /dev/null
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -0,0 +1,383 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from codeflare_sdk.ray.cluster.cluster import (
+    Cluster,
+    ClusterConfiguration,
+)
+import os
+import yaml
+from pathlib import Path
+from kubernetes import client
+
+parent = Path(__file__).resolve().parents[4]  # project directory
+aw_dir = os.path.expanduser("~/.codeflare/resources/")
+
+
+def createClusterConfig():
+    config = ClusterConfiguration(
+        name="unit-test-cluster",
+        namespace="ns",
+        num_workers=2,
+        worker_cpu_requests=3,
+        worker_cpu_limits=4,
+        worker_memory_requests=5,
+        worker_memory_limits=6,
+        appwrapper=True,
+        write_to_file=False,
+    )
+    return config
+
+
+def createClusterWithConfig(mocker):
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
+        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
+    )
+    cluster = Cluster(createClusterConfig())
+    return cluster
+
+
+def createClusterWrongType():
+    config = ClusterConfiguration(
+        name="unit-test-cluster",
+        namespace="ns",
+        num_workers=2,
+        worker_cpu_requests=[],
+        worker_cpu_limits=4,
+        worker_memory_requests=5,
+        worker_memory_limits=6,
+        worker_extended_resource_requests={"nvidia.com/gpu": 7},
+        appwrapper=True,
+        machine_types=[True, False],
+        image_pull_secrets=["unit-test-pull-secret"],
+        image="quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06",
+        write_to_file=True,
+        labels={1: 1},
+    )
+    return config
+
+
+def get_package_and_version(package_name, requirements_file_path):
+    with open(requirements_file_path, "r") as file:
+        for line in file:
+            if line.strip().startswith(f"{package_name}=="):
+                return line.strip()
+    return None
+
+
+def get_local_queue(group, version, namespace, plural):
+    assert group == "kueue.x-k8s.io"
+    assert version == "v1beta1"
+    assert namespace == "ns"
+    assert plural == "localqueues"
+    local_queues = {
+        "apiVersion": "kueue.x-k8s.io/v1beta1",
+        "items": [
+            {
+                "apiVersion": "kueue.x-k8s.io/v1beta1",
+                "kind": "LocalQueue",
+                "metadata": {
+                    "annotations": {"kueue.x-k8s.io/default-queue": "true"},
+                    "name": "local-queue-default",
+                    "namespace": "ns",
+                },
+                "spec": {"clusterQueue": "cluster-queue"},
+            },
+            {
+                "apiVersion": "kueue.x-k8s.io/v1beta1",
+                "kind": "LocalQueue",
+                "metadata": {
+                    "name": "team-a-queue",
+                    "namespace": "ns",
+                },
+                "spec": {"clusterQueue": "team-a-queue"},
+            },
+        ],
+        "kind": "LocalQueueList",
+        "metadata": {"continue": "", "resourceVersion": "2266811"},
+    }
+    return local_queues
+
+
+def arg_check_aw_apply_effect(group, version, namespace, plural, body, *args):
+    assert group == "workload.codeflare.dev"
+    assert version == "v1beta2"
+    assert namespace == "ns"
+    assert plural == "appwrappers"
+    with open(f"{aw_dir}test.yaml") as f:
+        aw = yaml.load(f, Loader=yaml.FullLoader)
+    assert body == aw
+    assert args == tuple()
+
+
+def arg_check_aw_del_effect(group, version, namespace, plural, name, *args):
+    assert group == "workload.codeflare.dev"
+    assert version == "v1beta2"
+    assert namespace == "ns"
+    assert plural == "appwrappers"
+    assert name == "test"
+    assert args == tuple()
+
+
+def get_cluster_object(file_a, file_b):
+    with open(file_a) as f:
+        cluster_a = yaml.load(f, Loader=yaml.FullLoader)
+    with open(file_b) as f:
+        cluster_b = yaml.load(f, Loader=yaml.FullLoader)
+
+    return cluster_a, cluster_b
+
+
+def get_ray_obj(group, version, namespace, plural):
+    # To be used for mocking list_namespaced_custom_object for Ray Clusters
+    rc_a_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml"
+    rc_b_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml"
+    rc_a, rc_b = get_cluster_object(rc_a_path, rc_b_path)
+
+    rc_list = {"items": [rc_a, rc_b]}
+    return rc_list
+
+
+def get_ray_obj_with_status(group, version, namespace, plural):
+    # To be used for mocking list_namespaced_custom_object for Ray Clusters with statuses
+    rc_a_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml"
+    rc_b_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml"
+    rc_a, rc_b = get_cluster_object(rc_a_path, rc_b_path)
+
+    rc_a.update(
+        {
+            "status": {
+                "desiredWorkerReplicas": 1,
+                "endpoints": {
+                    "client": "10001",
+                    "dashboard": "8265",
+                    "gcs": "6379",
+                    "metrics": "8080",
+                },
+                "head": {"serviceIP": "172.30.179.88"},
+                "lastUpdateTime": "2024-03-05T09:55:37Z",
+                "maxWorkerReplicas": 1,
+                "minWorkerReplicas": 1,
+                "observedGeneration": 1,
+                "state": "ready",
+            },
+        }
+    )
+    rc_b.update(
+        {
+            "status": {
+                "availableWorkerReplicas": 2,
+                "desiredWorkerReplicas": 1,
+                "endpoints": {
+                    "client": "10001",
+                    "dashboard": "8265",
+                    "gcs": "6379",
+                },
+                "lastUpdateTime": "2023-02-22T16:26:16Z",
+                "maxWorkerReplicas": 1,
+                "minWorkerReplicas": 1,
+                "state": "suspended",
+            }
+        }
+    )
+
+    rc_list = {"items": [rc_a, rc_b]}
+    return rc_list
+
+
+def get_aw_obj(group, version, namespace, plural):
+    # To be used for mocking list_namespaced_custom_object for AppWrappers
+    aw_a_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml"
+    aw_b_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml"
+    aw_a, aw_b = get_cluster_object(aw_a_path, aw_b_path)
+
+    aw_list = {"items": [aw_a, aw_b]}
+    return aw_list
+
+
+def get_aw_obj_with_status(group, version, namespace, plural):
+    # To be used for mocking list_namespaced_custom_object for AppWrappers with statuses
+    aw_a_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml"
+    aw_b_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml"
+    aw_a, aw_b = get_cluster_object(aw_a_path, aw_b_path)
+
+    aw_a.update(
+        {
+            "status": {
+                "phase": "Running",
+            },
+        }
+    )
+    aw_b.update(
+        {
+            "status": {
+                "phase": "Suspended",
+            },
+        }
+    )
+
+    aw_list = {"items": [aw_a, aw_b]}
+    return aw_list
+
+
+def get_named_aw(group, version, namespace, plural, name):
+    aws = get_aw_obj("workload.codeflare.dev", "v1beta2", "ns", "appwrappers")
+    return aws["items"][0]
+
+
+def arg_check_del_effect(group, version, namespace, plural, name, *args):
+    assert namespace == "ns"
+    assert args == tuple()
+    if plural == "appwrappers":
+        assert group == "workload.codeflare.dev"
+        assert version == "v1beta2"
+        assert name == "unit-test-cluster"
+    elif plural == "rayclusters":
+        assert group == "ray.io"
+        assert version == "v1"
+        assert name == "unit-test-cluster-ray"
+    elif plural == "ingresses":
+        assert group == "networking.k8s.io"
+        assert version == "v1"
+        assert name == "ray-dashboard-unit-test-cluster-ray"
+
+
+def arg_check_apply_effect(group, version, namespace, plural, body, *args):
+    assert namespace == "ns"
+    assert args == tuple()
+    if plural == "appwrappers":
+        assert group == "workload.codeflare.dev"
+        assert version == "v1beta2"
+    elif plural == "rayclusters":
+        assert group == "ray.io"
+        assert version == "v1"
+    elif plural == "ingresses":
+        assert group == "networking.k8s.io"
+        assert version == "v1"
+    elif plural == "routes":
+        assert group == "route.openshift.io"
+        assert version == "v1"
+    else:
+        assert 1 == 0
+
+
+def get_obj_none(group, version, namespace, plural):
+    return {"items": []}
+
+
+def route_list_retrieval(group, version, namespace, plural):
+    assert group == "route.openshift.io"
+    assert version == "v1"
+    assert namespace == "ns"
+    assert plural == "routes"
+    return {
+        "kind": "RouteList",
+        "apiVersion": "route.openshift.io/v1",
+        "metadata": {"resourceVersion": "6072398"},
+        "items": [
+            {
+                "metadata": {
+                    "name": "ray-dashboard-quicktest",
+                    "namespace": "ns",
+                },
+                "spec": {
+                    "host": "ray-dashboard-quicktest-opendatahub.apps.cluster.awsroute.org",
+                    "to": {
+                        "kind": "Service",
+                        "name": "quicktest-head-svc",
+                        "weight": 100,
+                    },
+                    "port": {"targetPort": "dashboard"},
+                    "tls": {"termination": "edge"},
+                },
+            },
+            {
+                "metadata": {
+                    "name": "rayclient-quicktest",
+                    "namespace": "ns",
+                },
+                "spec": {
+                    "host": "rayclient-quicktest-opendatahub.apps.cluster.awsroute.org",
+                    "to": {
+                        "kind": "Service",
+                        "name": "quicktest-head-svc",
+                        "weight": 100,
+                    },
+                    "port": {"targetPort": "client"},
+                    "tls": {"termination": "passthrough"},
+                },
+            },
+        ],
+    }
+
+
+def ingress_retrieval(
+    cluster_name="unit-test-cluster", client_ing: bool = False, annotations: dict = None
+):
+    dashboard_ingress = mocked_ingress(8265, cluster_name, annotations)
+    if client_ing:
+        client_ingress = mocked_ingress(
+            10001, cluster_name=cluster_name, annotations=annotations
+        )
+        mock_ingress_list = client.V1IngressList(
+            items=[client_ingress, dashboard_ingress]
+        )
+    else:
+        mock_ingress_list = client.V1IngressList(items=[dashboard_ingress])
+
+    return mock_ingress_list
+
+
+def mocked_ingress(port, cluster_name="unit-test-cluster", annotations: dict = None):
+    labels = {"ingress-owner": cluster_name}
+    if port == 10001:
+        name = f"rayclient-{cluster_name}"
+    else:
+        name = f"ray-dashboard-{cluster_name}"
+    mock_ingress = client.V1Ingress(
+        metadata=client.V1ObjectMeta(
+            name=name,
+            annotations=annotations,
+            labels=labels,
+            owner_references=[
+                client.V1OwnerReference(
+                    api_version="v1", kind="Ingress", name=cluster_name, uid="unique-id"
+                )
+            ],
+        ),
+        spec=client.V1IngressSpec(
+            rules=[
+                client.V1IngressRule(
+                    host=f"{name}-ns.apps.cluster.awsroute.org",
+                    http=client.V1HTTPIngressRuleValue(
+                        paths=[
+                            client.V1HTTPIngressPath(
+                                path_type="Prefix",
+                                path="/",
+                                backend=client.V1IngressBackend(
+                                    service=client.V1IngressServiceBackend(
+                                        name="head-svc-test",
+                                        port=client.V1ServiceBackendPort(number=port),
+                                    )
+                                ),
+                            )
+                        ]
+                    ),
+                )
+            ],
+        ),
+    )
+    return mock_ingress
diff --git a/src/codeflare_sdk/common/widgets/test_widgets.py b/src/codeflare_sdk/common/widgets/test_widgets.py
new file mode 100644
index 00000000..e01b9193
--- /dev/null
+++ b/src/codeflare_sdk/common/widgets/test_widgets.py
@@ -0,0 +1,469 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import codeflare_sdk.common.widgets.widgets as cf_widgets
+import pandas as pd
+from unittest.mock import MagicMock, patch
+from ..utils.unit_test_support import get_local_queue, createClusterConfig
+from codeflare_sdk.ray.cluster.cluster import Cluster
+from codeflare_sdk.ray.cluster.status import (
+    RayCluster,
+    RayClusterStatus,
+)
+import pytest
+from kubernetes import client
+
+
+@patch.dict(
+    "os.environ", {"JPY_SESSION_NAME": "example-test"}
+)  # Mock Jupyter environment variable
+def test_cluster_up_down_buttons(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
+        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+    cluster = Cluster(createClusterConfig())
+
+    with patch("ipywidgets.Button") as MockButton, patch(
+        "ipywidgets.Checkbox"
+    ) as MockCheckbox, patch("ipywidgets.Output"), patch("ipywidgets.HBox"), patch(
+        "ipywidgets.VBox"
+    ), patch.object(
+        cluster, "up"
+    ) as mock_up, patch.object(
+        cluster, "down"
+    ) as mock_down, patch.object(
+        cluster, "wait_ready"
+    ) as mock_wait_ready:
+        # Create mock button & CheckBox instances
+        mock_up_button = MagicMock()
+        mock_down_button = MagicMock()
+        mock_wait_ready_check_box = MagicMock()
+
+        # Ensure the mock Button class returns the mock button instances in sequence
+        MockCheckbox.side_effect = [mock_wait_ready_check_box]
+        MockButton.side_effect = [mock_up_button, mock_down_button]
+
+        # Call the method under test
+        cf_widgets.cluster_up_down_buttons(cluster)
+
+        # Simulate checkbox being checked or unchecked
+        mock_wait_ready_check_box.value = True  # Simulate checkbox being checked
+
+        # Simulate the button clicks by calling the mock on_click handlers
+        mock_up_button.on_click.call_args[0][0](None)  # Simulate clicking "Cluster Up"
+        mock_down_button.on_click.call_args[0][0](
+            None
+        )  # Simulate clicking "Cluster Down"
+
+        # Check if the `up` and `down` methods were called
+        mock_wait_ready.assert_called_once()
+        mock_up.assert_called_once()
+        mock_down.assert_called_once()
+
+
+@patch.dict("os.environ", {}, clear=True)  # Mock environment with no variables
+def test_is_notebook_false():
+    assert cf_widgets.is_notebook() is False
+
+
+@patch.dict(
+    "os.environ", {"JPY_SESSION_NAME": "example-test"}
+)  # Mock Jupyter environment variable
+def test_is_notebook_true():
+    assert cf_widgets.is_notebook() is True
+
+
+def test_view_clusters(mocker, capsys):
+    # If is not a notebook environment, a warning should be raised
+    with pytest.warns(
+        UserWarning,
+        match="view_clusters can only be used in a Jupyter Notebook environment.",
+    ):
+        result = cf_widgets.view_clusters("default")
+
+        # Assert the function returns None when not in a notebook environment
+        assert result is None
+
+    # Prepare to run view_clusters when notebook environment is detected
+    mocker.patch("codeflare_sdk.common.widgets.widgets.is_notebook", return_value=True)
+    mock_get_current_namespace = mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
+        return_value="default",
+    )
+    namespace = mock_get_current_namespace.return_value
+
+    # Assert the function returns None when no clusters are found
+    mock_fetch_cluster_data = mocker.patch(
+        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data",
+        return_value=pd.DataFrame(),
+    )
+    result = cf_widgets.view_clusters()
+    captured = capsys.readouterr()
+    assert mock_fetch_cluster_data.return_value.empty
+    assert "No clusters found in the default namespace." in captured.out
+    assert result is None
+
+    # Prepare to run view_clusters with a test DataFrame
+    mock_fetch_cluster_data = mocker.patch(
+        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data",
+        return_value=pd.DataFrame(
+            {
+                "Name": ["test-cluster"],
+                "Namespace": ["default"],
+                "Num Workers": ["1"],
+                "Head GPUs": ["0"],
+                "Worker GPUs": ["0"],
+                "Head CPU Req~Lim": ["1~1"],
+                "Head Memory Req~Lim": ["1Gi~1Gi"],
+                "Worker CPU Req~Lim": ["1~1"],
+                "Worker Memory Req~Lim": ["1Gi~1Gi"],
+                "status": ['Ready ✓'],
+            }
+        ),
+    )
+    # Create a RayClusterManagerWidgets instance
+    ray_cluster_manager_instance = cf_widgets.RayClusterManagerWidgets(
+        ray_clusters_df=mock_fetch_cluster_data.return_value, namespace=namespace
+    )
+    # Patch the constructor of RayClusterManagerWidgets to return our initialized instance
+    mock_constructor = mocker.patch(
+        "codeflare_sdk.common.widgets.widgets.RayClusterManagerWidgets",
+        return_value=ray_cluster_manager_instance,
+    )
+
+    # Use a spy to track calls to display_widgets without replacing it
+    spy_display_widgets = mocker.spy(ray_cluster_manager_instance, "display_widgets")
+
+    cf_widgets.view_clusters()
+
+    mock_constructor.assert_called_once_with(
+        ray_clusters_df=mock_fetch_cluster_data.return_value, namespace=namespace
+    )
+
+    spy_display_widgets.assert_called_once()
+
+
+def test_delete_cluster(mocker, capsys):
+    name = "test-cluster"
+    namespace = "default"
+
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+
+    mock_ray_cluster = MagicMock()
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
+        side_effect=[
+            mock_ray_cluster,
+            client.ApiException(status=404),
+            client.ApiException(status=404),
+            mock_ray_cluster,
+        ],
+    )
+
+    # In this scenario, the RayCluster exists and the AppWrapper does not.
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._check_aw_exists", return_value=False
+    )
+    mock_delete_rc = mocker.patch(
+        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object"
+    )
+    cf_widgets._delete_cluster(name, namespace)
+
+    mock_delete_rc.assert_called_once_with(
+        group="ray.io",
+        version="v1",
+        namespace=namespace,
+        plural="rayclusters",
+        name=name,
+    )
+
+    # In this scenario, the AppWrapper exists and the RayCluster does not
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._check_aw_exists", return_value=True
+    )
+    mock_delete_aw = mocker.patch(
+        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object"
+    )
+    cf_widgets._delete_cluster(name, namespace)
+
+    mock_delete_aw.assert_called_once_with(
+        group="workload.codeflare.dev",
+        version="v1beta2",
+        namespace=namespace,
+        plural="appwrappers",
+        name=name,
+    )
+
+    # In this scenario, the deletion of the resource times out.
+    with pytest.raises(
+        TimeoutError, match=f"Timeout waiting for {name} to be deleted."
+    ):
+        cf_widgets._delete_cluster(name, namespace, 1)
+
+
+def test_ray_cluster_manager_widgets_init(mocker, capsys):
+    namespace = "default"
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+    test_ray_clusters_df = pd.DataFrame(
+        {
+            "Name": ["test-cluster-1", "test-cluster-2"],
+            "Namespace": [namespace, namespace],
+            "Num Workers": ["1", "2"],
+            "Head GPUs": ["0", "0"],
+            "Worker GPUs": ["0", "0"],
+            "Head CPU Req~Lim": ["1~1", "1~1"],
+            "Head Memory Req~Lim": ["1Gi~1Gi", "1Gi~1Gi"],
+            "Worker CPU Req~Lim": ["1~1", "1~1"],
+            "Worker Memory Req~Lim": ["1Gi~1Gi", "1Gi~1Gi"],
+            "status": [
+                'Ready ✓',
+                'Ready ✓',
+            ],
+        }
+    )
+    mock_fetch_cluster_data = mocker.patch(
+        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data",
+        return_value=test_ray_clusters_df,
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
+        return_value=namespace,
+    )
+    mock_delete_cluster = mocker.patch(
+        "codeflare_sdk.common.widgets.widgets._delete_cluster"
+    )
+
+    # # Mock ToggleButtons
+    mock_toggle_buttons = mocker.patch("ipywidgets.ToggleButtons")
+    mock_button = mocker.patch("ipywidgets.Button")
+    mock_output = mocker.patch("ipywidgets.Output")
+
+    # Initialize the RayClusterManagerWidgets instance
+    ray_cluster_manager_instance = cf_widgets.RayClusterManagerWidgets(
+        ray_clusters_df=test_ray_clusters_df, namespace=namespace
+    )
+
+    # Assertions for DataFrame and attributes
+    assert ray_cluster_manager_instance.ray_clusters_df.equals(
+        test_ray_clusters_df
+    ), "ray_clusters_df attribute does not match the input DataFrame"
+    assert (
+        ray_cluster_manager_instance.namespace == namespace
+    ), f"Expected namespace to be '{namespace}', but got '{ray_cluster_manager_instance.namespace}'"
+    assert (
+        ray_cluster_manager_instance.classification_widget.options
+        == test_ray_clusters_df["Name"].tolist()
+    ), "classification_widget options do not match the input DataFrame"
+
+    # Assertions for widgets
+    mock_toggle_buttons.assert_called_once_with(
+        options=test_ray_clusters_df["Name"].tolist(),
+        value=test_ray_clusters_df["Name"].tolist()[0],
+        description="Select an existing cluster:",
+    )
+    assert (
+        ray_cluster_manager_instance.classification_widget
+        == mock_toggle_buttons.return_value
+    ), "classification_widget is not set correctly"
+    assert (
+        ray_cluster_manager_instance.delete_button == mock_button.return_value
+    ), "delete_button is not set correctly"
+    assert (
+        ray_cluster_manager_instance.list_jobs_button == mock_button.return_value
+    ), "list_jobs_button is not set correctly"
+    assert (
+        ray_cluster_manager_instance.ray_dashboard_button == mock_button.return_value
+    ), "ray_dashboard_button is not set correctly"
+    assert (
+        ray_cluster_manager_instance.raycluster_data_output == mock_output.return_value
+    ), "raycluster_data_output is not set correctly"
+    assert (
+        ray_cluster_manager_instance.user_output == mock_output.return_value
+    ), "user_output is not set correctly"
+    assert (
+        ray_cluster_manager_instance.url_output == mock_output.return_value
+    ), "url_output is not set correctly"
+
+    ### Test button click events
+    mock_delete_button = MagicMock()
+    mock_list_jobs_button = MagicMock()
+    mock_ray_dashboard_button = MagicMock()
+
+    mock_javascript = mocker.patch("codeflare_sdk.common.widgets.widgets.Javascript")
+    ray_cluster_manager_instance.url_output = MagicMock()
+
+    mock_dashboard_uri = mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.cluster_dashboard_uri",
+        return_value="https://ray-dashboard-test-cluster-1-ns.apps.cluster.awsroute.org",
+    )
+
+    # Simulate clicking the list jobs button
+    ray_cluster_manager_instance.classification_widget.value = "test-cluster-1"
+    ray_cluster_manager_instance._on_list_jobs_button_click(mock_list_jobs_button)
+
+    captured = capsys.readouterr()
+    assert (
+        f"Opening Ray Jobs Dashboard for test-cluster-1 cluster:\n{mock_dashboard_uri.return_value}/#/jobs"
+        in captured.out
+    )
+    mock_javascript.assert_called_with(
+        f'window.open("{mock_dashboard_uri.return_value}/#/jobs", "_blank");'
+    )
+
+    # Simulate clicking the Ray dashboard button
+    ray_cluster_manager_instance.classification_widget.value = "test-cluster-1"
+    ray_cluster_manager_instance._on_ray_dashboard_button_click(
+        mock_ray_dashboard_button
+    )
+
+    captured = capsys.readouterr()
+    assert (
+        f"Opening Ray Dashboard for test-cluster-1 cluster:\n{mock_dashboard_uri.return_value}"
+        in captured.out
+    )
+    mock_javascript.assert_called_with(
+        f'window.open("{mock_dashboard_uri.return_value}", "_blank");'
+    )
+
+    # Simulate clicking the delete button
+    ray_cluster_manager_instance.classification_widget.value = "test-cluster-1"
+    ray_cluster_manager_instance._on_delete_button_click(mock_delete_button)
+    mock_delete_cluster.assert_called_with("test-cluster-1", namespace)
+
+    mock_fetch_cluster_data.return_value = pd.DataFrame()
+    ray_cluster_manager_instance.classification_widget.value = "test-cluster-2"
+    ray_cluster_manager_instance._on_delete_button_click(mock_delete_button)
+    mock_delete_cluster.assert_called_with("test-cluster-2", namespace)
+
+    # Assert on deletion that the dataframe is empty
+    assert (
+        ray_cluster_manager_instance.ray_clusters_df.empty
+    ), "Expected DataFrame to be empty after deletion"
+
+    captured = capsys.readouterr()
+    assert (
+        f"Cluster test-cluster-1 in the {namespace} namespace was deleted successfully."
+        in captured.out
+    )
+
+
+def test_fetch_cluster_data(mocker):
+    # Return empty dataframe when no clusters are found
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.list_all_clusters", return_value=[])
+    df = cf_widgets._fetch_cluster_data(namespace="default")
+    assert df.empty
+
+    # Create mock RayCluster objects
+    mock_raycluster1 = MagicMock(spec=RayCluster)
+    mock_raycluster1.name = "test-cluster-1"
+    mock_raycluster1.namespace = "default"
+    mock_raycluster1.num_workers = 1
+    mock_raycluster1.head_extended_resources = {"nvidia.com/gpu": "1"}
+    mock_raycluster1.worker_extended_resources = {"nvidia.com/gpu": "2"}
+    mock_raycluster1.head_cpu_requests = "500m"
+    mock_raycluster1.head_cpu_limits = "1000m"
+    mock_raycluster1.head_mem_requests = "1Gi"
+    mock_raycluster1.head_mem_limits = "2Gi"
+    mock_raycluster1.worker_cpu_requests = "1000m"
+    mock_raycluster1.worker_cpu_limits = "2000m"
+    mock_raycluster1.worker_mem_requests = "2Gi"
+    mock_raycluster1.worker_mem_limits = "4Gi"
+    mock_raycluster1.status = MagicMock()
+    mock_raycluster1.status.name = "READY"
+    mock_raycluster1.status = RayClusterStatus.READY
+
+    mock_raycluster2 = MagicMock(spec=RayCluster)
+    mock_raycluster2.name = "test-cluster-2"
+    mock_raycluster2.namespace = "default"
+    mock_raycluster2.num_workers = 2
+    mock_raycluster2.head_extended_resources = {}
+    mock_raycluster2.worker_extended_resources = {}
+    mock_raycluster2.head_cpu_requests = None
+    mock_raycluster2.head_cpu_limits = None
+    mock_raycluster2.head_mem_requests = None
+    mock_raycluster2.head_mem_limits = None
+    mock_raycluster2.worker_cpu_requests = None
+    mock_raycluster2.worker_cpu_limits = None
+    mock_raycluster2.worker_mem_requests = None
+    mock_raycluster2.worker_mem_limits = None
+    mock_raycluster2.status = MagicMock()
+    mock_raycluster2.status.name = "SUSPENDED"
+    mock_raycluster2.status = RayClusterStatus.SUSPENDED
+
+    with patch(
+        "codeflare_sdk.ray.cluster.cluster.list_all_clusters",
+        return_value=[mock_raycluster1, mock_raycluster2],
+    ):
+        # Call the function under test
+        df = cf_widgets._fetch_cluster_data(namespace="default")
+
+    # Expected DataFrame
+    expected_data = {
+        "Name": ["test-cluster-1", "test-cluster-2"],
+        "Namespace": ["default", "default"],
+        "Num Workers": [1, 2],
+        "Head GPUs": ["nvidia.com/gpu: 1", "0"],
+        "Worker GPUs": ["nvidia.com/gpu: 2", "0"],
+        "Head CPU Req~Lim": ["500m~1000m", "0~0"],
+        "Head Memory Req~Lim": ["1Gi~2Gi", "0~0"],
+        "Worker CPU Req~Lim": ["1000m~2000m", "0~0"],
+        "Worker Memory Req~Lim": ["2Gi~4Gi", "0~0"],
+        "status": [
+            'Ready ✓',
+            'Suspended ❄️',
+        ],
+    }
+
+    expected_df = pd.DataFrame(expected_data)
+
+    # Assert that the DataFrame matches expected
+    pd.testing.assert_frame_equal(
+        df.reset_index(drop=True), expected_df.reset_index(drop=True)
+    )
+
+
+def test_format_status():
+    # Test each possible status
+    test_cases = [
+        (RayClusterStatus.READY, 'Ready ✓'),
+        (
+            RayClusterStatus.SUSPENDED,
+            'Suspended ❄️',
+        ),
+        (RayClusterStatus.FAILED, 'Failed ✗'),
+        (RayClusterStatus.UNHEALTHY, 'Unhealthy'),
+        (RayClusterStatus.UNKNOWN, 'Unknown'),
+    ]
+
+    for status, expected_output in test_cases:
+        assert (
+            cf_widgets._format_status(status) == expected_output
+        ), f"Failed for status: {status}"
+
+    # Test an unrecognized status
+    unrecognized_status = "NotAStatus"
+    assert (
+        cf_widgets._format_status(unrecognized_status) == "NotAStatus"
+    ), "Failed for unrecognized status"
diff --git a/src/codeflare_sdk/ray/appwrapper/test_awload.py b/src/codeflare_sdk/ray/appwrapper/test_awload.py
new file mode 100644
index 00000000..6909394b
--- /dev/null
+++ b/src/codeflare_sdk/ray/appwrapper/test_awload.py
@@ -0,0 +1,88 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from codeflare_sdk.common.utils.unit_test_support import (
+    arg_check_aw_apply_effect,
+    arg_check_aw_del_effect,
+)
+from codeflare_sdk.ray.appwrapper import AWManager
+from codeflare_sdk.ray.cluster import Cluster, ClusterConfiguration
+import os
+from pathlib import Path
+
+parent = Path(__file__).resolve().parents[4]  # project directory
+aw_dir = os.path.expanduser("~/.codeflare/resources/")
+
+
+def test_AWManager_creation(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object")
+    # Create test.yaml
+    Cluster(
+        ClusterConfiguration(
+            name="test",
+            namespace="ns",
+            write_to_file=True,
+            appwrapper=True,
+        )
+    )
+
+    testaw = AWManager(f"{aw_dir}test.yaml")
+    assert testaw.name == "test"
+    assert testaw.namespace == "ns"
+    assert testaw.submitted == False
+    try:
+        testaw = AWManager("fake")
+    except Exception as e:
+        assert type(e) == FileNotFoundError
+        assert str(e) == "[Errno 2] No such file or directory: 'fake'"
+    try:
+        testaw = AWManager(
+            f"{parent}/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml"
+        )
+    except Exception as e:
+        assert type(e) == ValueError
+        assert (
+            str(e)
+            == f"{parent}/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml is not a correctly formatted AppWrapper yaml"
+        )
+
+
+def test_AWManager_submit_remove(mocker, capsys):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    testaw = AWManager(f"{aw_dir}test.yaml")
+    testaw.remove()
+    captured = capsys.readouterr()
+    assert (
+        captured.out
+        == "AppWrapper not submitted by this manager yet, nothing to remove\n"
+    )
+    assert testaw.submitted == False
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.create_namespaced_custom_object",
+        side_effect=arg_check_aw_apply_effect,
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object",
+        side_effect=arg_check_aw_del_effect,
+    )
+    testaw.submit()
+    assert testaw.submitted == True
+    testaw.remove()
+    assert testaw.submitted == False
+
+
+# Make sure to always keep this function last
+def test_cleanup():
+    os.remove(f"{aw_dir}test.yaml")
diff --git a/src/codeflare_sdk/ray/appwrapper/test_status.py b/src/codeflare_sdk/ray/appwrapper/test_status.py
new file mode 100644
index 00000000..8c693767
--- /dev/null
+++ b/src/codeflare_sdk/ray/appwrapper/test_status.py
@@ -0,0 +1,104 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from codeflare_sdk.ray.cluster.cluster import (
+    _app_wrapper_status,
+    Cluster,
+    ClusterConfiguration,
+)
+from codeflare_sdk.ray.appwrapper import AppWrapper, AppWrapperStatus
+from codeflare_sdk.ray.cluster.status import CodeFlareClusterStatus
+import os
+
+aw_dir = os.path.expanduser("~/.codeflare/resources/")
+
+
+def test_cluster_status(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
+        return_value="true",
+    )
+    fake_aw = AppWrapper("test", AppWrapperStatus.FAILED)
+
+    cf = Cluster(
+        ClusterConfiguration(
+            name="test",
+            namespace="ns",
+            write_to_file=True,
+            appwrapper=True,
+            local_queue="local_default_queue",
+        )
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._app_wrapper_status", return_value=None
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=None
+    )
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.UNKNOWN
+    assert ready == False
+
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._app_wrapper_status", return_value=fake_aw
+    )
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.FAILED
+    assert ready == False
+
+    fake_aw.status = AppWrapperStatus.SUSPENDED
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.QUEUED
+    assert ready == False
+
+    fake_aw.status = AppWrapperStatus.RESUMING
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.STARTING
+    assert ready == False
+
+    fake_aw.status = AppWrapperStatus.RESETTING
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.STARTING
+    assert ready == False
+
+    fake_aw.status = AppWrapperStatus.RUNNING
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.UNKNOWN
+    assert ready == False
+
+
+def aw_status_fields(group, version, namespace, plural, *args):
+    assert group == "workload.codeflare.dev"
+    assert version == "v1beta2"
+    assert namespace == "test-ns"
+    assert plural == "appwrappers"
+    assert args == tuple()
+    return {"items": []}
+
+
+def test_aw_status(mocker):
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        side_effect=aw_status_fields,
+    )
+    aw = _app_wrapper_status("test-aw", "test-ns")
+    assert aw == None
+
+
+# Make sure to always keep this function last
+def test_cleanup():
+    os.remove(f"{aw_dir}test.yaml")
diff --git a/src/codeflare_sdk/ray/client/test_ray_jobs.py b/src/codeflare_sdk/ray/client/test_ray_jobs.py
new file mode 100644
index 00000000..cbb27aa7
--- /dev/null
+++ b/src/codeflare_sdk/ray/client/test_ray_jobs.py
@@ -0,0 +1,173 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from ray.job_submission import JobSubmissionClient
+from codeflare_sdk.ray.client.ray_jobs import RayJobClient
+from codeflare_sdk.common.utils.unit_test_support import get_package_and_version
+import pytest
+
+
+# rjc == RayJobClient
+@pytest.fixture
+def ray_job_client(mocker):
+    # Creating a fixture to instantiate RayJobClient with a mocked JobSubmissionClient
+    mocker.patch.object(JobSubmissionClient, "__init__", return_value=None)
+    return RayJobClient(
+        "https://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
+    )
+
+
+def test_rjc_submit_job(ray_job_client, mocker):
+    mocked_submit_job = mocker.patch.object(
+        JobSubmissionClient, "submit_job", return_value="mocked_submission_id"
+    )
+    submission_id = ray_job_client.submit_job(entrypoint={"pip": ["numpy"]})
+
+    mocked_submit_job.assert_called_once_with(
+        entrypoint={"pip": ["numpy"]},
+        job_id=None,
+        runtime_env=None,
+        metadata=None,
+        submission_id=None,
+        entrypoint_num_cpus=None,
+        entrypoint_num_gpus=None,
+        entrypoint_memory=None,
+        entrypoint_resources=None,
+    )
+
+    assert submission_id == "mocked_submission_id"
+
+
+def test_rjc_delete_job(ray_job_client, mocker):
+    # Case return True
+    mocked_delete_job_True = mocker.patch.object(
+        JobSubmissionClient, "delete_job", return_value=True
+    )
+    result = ray_job_client.delete_job(job_id="mocked_job_id")
+
+    mocked_delete_job_True.assert_called_once_with(job_id="mocked_job_id")
+    assert result == (True, "Successfully deleted Job mocked_job_id")
+
+    # Case return False
+    mocked_delete_job_False = mocker.patch.object(
+        JobSubmissionClient, "delete_job", return_value=(False)
+    )
+    result = ray_job_client.delete_job(job_id="mocked_job_id")
+
+    mocked_delete_job_False.assert_called_once_with(job_id="mocked_job_id")
+    assert result == (False, "Failed to delete Job mocked_job_id")
+
+
+def test_rjc_stop_job(ray_job_client, mocker):
+    # Case return True
+    mocked_stop_job_True = mocker.patch.object(
+        JobSubmissionClient, "stop_job", return_value=(True)
+    )
+    result = ray_job_client.stop_job(job_id="mocked_job_id")
+
+    mocked_stop_job_True.assert_called_once_with(job_id="mocked_job_id")
+    assert result == (True, "Successfully stopped Job mocked_job_id")
+
+    # Case return False
+    mocked_stop_job_False = mocker.patch.object(
+        JobSubmissionClient, "stop_job", return_value=(False)
+    )
+    result = ray_job_client.stop_job(job_id="mocked_job_id")
+
+    mocked_stop_job_False.assert_called_once_with(job_id="mocked_job_id")
+    assert result == (
+        False,
+        "Failed to stop Job, mocked_job_id could have already completed.",
+    )
+
+
+def test_rjc_address(ray_job_client, mocker):
+    mocked_rjc_address = mocker.patch.object(
+        JobSubmissionClient,
+        "get_address",
+        return_value="https://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org",
+    )
+    address = ray_job_client.get_address()
+
+    mocked_rjc_address.assert_called_once()
+    assert (
+        address
+        == "https://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
+    )
+
+
+def test_rjc_get_job_logs(ray_job_client, mocker):
+    mocked_rjc_get_job_logs = mocker.patch.object(
+        JobSubmissionClient, "get_job_logs", return_value="Logs"
+    )
+    logs = ray_job_client.get_job_logs(job_id="mocked_job_id")
+
+    mocked_rjc_get_job_logs.assert_called_once_with(job_id="mocked_job_id")
+    assert logs == "Logs"
+
+
+def test_rjc_get_job_info(ray_job_client, mocker):
+    job_details_example = "JobDetails(type=, job_id=None, submission_id='mocked_submission_id', driver_info=None, status=, entrypoint='python test.py', message='Job has not started yet. It may be waiting for the runtime environment to be set up.', error_type=None, start_time=1701271760641, end_time=None, metadata={}, runtime_env={'working_dir': 'gcs://_ray_pkg_67de6f0e60d43b19.zip', 'pip': {'packages': ['numpy'], 'pip_check': False}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}, driver_agent_http_address=None, driver_node_id=None)"
+    mocked_rjc_get_job_info = mocker.patch.object(
+        JobSubmissionClient, "get_job_info", return_value=job_details_example
+    )
+    job_details = ray_job_client.get_job_info(job_id="mocked_job_id")
+
+    mocked_rjc_get_job_info.assert_called_once_with(job_id="mocked_job_id")
+    assert job_details == job_details_example
+
+
+def test_rjc_get_job_status(ray_job_client, mocker):
+    job_status_example = ""
+    mocked_rjc_get_job_status = mocker.patch.object(
+        JobSubmissionClient, "get_job_status", return_value=job_status_example
+    )
+    job_status = ray_job_client.get_job_status(job_id="mocked_job_id")
+
+    mocked_rjc_get_job_status.assert_called_once_with(job_id="mocked_job_id")
+    assert job_status == job_status_example
+
+
+def test_rjc_tail_job_logs(ray_job_client, mocker):
+    logs_example = [
+        "Job started...",
+        "Processing input data...",
+        "Finalizing results...",
+        "Job completed successfully.",
+    ]
+    mocked_rjc_tail_job_logs = mocker.patch.object(
+        JobSubmissionClient, "tail_job_logs", return_value=logs_example
+    )
+    job_tail_job_logs = ray_job_client.tail_job_logs(job_id="mocked_job_id")
+
+    mocked_rjc_tail_job_logs.assert_called_once_with(job_id="mocked_job_id")
+    assert job_tail_job_logs == logs_example
+
+
+def test_rjc_list_jobs(ray_job_client, mocker):
+    requirements_path = "tests/e2e/mnist_pip_requirements.txt"
+    pytorch_lightning = get_package_and_version("pytorch_lightning", requirements_path)
+    torchmetrics = get_package_and_version("torchmetrics", requirements_path)
+    torchvision = get_package_and_version("torchvision", requirements_path)
+    jobs_list = [
+        f"JobDetails(type=, job_id=None, submission_id='raysubmit_4k2NYS1YbRXYPZCM', driver_info=None, status=, entrypoint='python mnist.py', message='Job finished successfully.', error_type=None, start_time=1701352132585, end_time=1701352192002, metadata={{}}, runtime_env={{'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {{'packages': ['{pytorch_lightning}', 'ray_lightning', '{torchmetrics}', '{torchvision}'], 'pip_check': False}}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')",
+        f"JobDetails(type=, job_id=None, submission_id='raysubmit_iRuwU8vdkbUZZGvT', driver_info=None, status=, entrypoint='python mnist.py', message='Job was intentionally stopped.', error_type=None, start_time=1701353096163, end_time=1701353097733, metadata={{}}, runtime_env={{'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {{'packages': ['{pytorch_lightning}', 'ray_lightning', '{torchmetrics}', '{torchvision}'], 'pip_check': False}}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')",
+    ]
+    mocked_rjc_list_jobs = mocker.patch.object(
+        JobSubmissionClient, "list_jobs", return_value=jobs_list
+    )
+    job_list_jobs = ray_job_client.list_jobs()
+
+    mocked_rjc_list_jobs.assert_called_once()
+    assert job_list_jobs == jobs_list
diff --git a/src/codeflare_sdk/ray/cluster/test_cluster.py b/src/codeflare_sdk/ray/cluster/test_cluster.py
new file mode 100644
index 00000000..20438bbe
--- /dev/null
+++ b/src/codeflare_sdk/ray/cluster/test_cluster.py
@@ -0,0 +1,610 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from codeflare_sdk.ray.cluster.cluster import (
+    Cluster,
+    ClusterConfiguration,
+    get_cluster,
+    list_all_queued,
+)
+from codeflare_sdk.common.utils.unit_test_support import (
+    createClusterWithConfig,
+    arg_check_del_effect,
+    ingress_retrieval,
+    arg_check_apply_effect,
+    get_local_queue,
+    createClusterConfig,
+    route_list_retrieval,
+    get_ray_obj,
+    get_aw_obj,
+    get_named_aw,
+    get_obj_none,
+    get_ray_obj_with_status,
+    get_aw_obj_with_status,
+)
+from codeflare_sdk.ray.cluster.generate_yaml import (
+    is_openshift_cluster,
+    is_kind_cluster,
+)
+from pathlib import Path
+from unittest.mock import MagicMock
+from kubernetes import client
+import os
+
+parent = Path(__file__).resolve().parents[4]  # project directory
+expected_clusters_dir = f"{parent}/tests/test_cluster_yamls"
+aw_dir = os.path.expanduser("~/.codeflare/resources/")
+
+
+def test_cluster_up_down(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
+        return_value={"spec": {"domain": ""}},
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.create_namespaced_custom_object",
+        side_effect=arg_check_apply_effect,
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object",
+        side_effect=arg_check_del_effect,
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_cluster_custom_object",
+        return_value={"items": []},
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+    cluster = cluster = createClusterWithConfig(mocker)
+    cluster.up()
+    cluster.down()
+
+
+def test_cluster_up_down_no_mcad(mocker):
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.create_namespaced_custom_object",
+        side_effect=arg_check_apply_effect,
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object",
+        side_effect=arg_check_del_effect,
+    )
+    mocker.patch(
+        "kubernetes.client.CoreV1Api.create_namespaced_secret",
+    )
+    mocker.patch(
+        "kubernetes.client.CoreV1Api.delete_namespaced_secret",
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_cluster_custom_object",
+        return_value={"items": []},
+    )
+    config = createClusterConfig()
+    config.name = "unit-test-cluster-ray"
+    config.appwrapper = False
+    cluster = Cluster(config)
+    cluster.up()
+    cluster.down()
+
+
+def test_cluster_uris(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._get_ingress_domain",
+        return_value="apps.cluster.awsroute.org",
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+    cluster = cluster = createClusterWithConfig(mocker)
+    mocker.patch(
+        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
+        return_value=ingress_retrieval(
+            cluster_name="unit-test-cluster",
+            annotations={"route.openshift.io/termination": "passthrough"},
+        ),
+    )
+    assert (
+        cluster.cluster_dashboard_uri()
+        == "https://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
+    )
+    mocker.patch(
+        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
+        return_value=ingress_retrieval(),
+    )
+    assert cluster.cluster_uri() == "ray://unit-test-cluster-head-svc.ns.svc:10001"
+    assert (
+        cluster.cluster_dashboard_uri()
+        == "http://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
+    )
+    cluster.config.name = "fake"
+    mocker.patch(
+        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
+    )
+    assert (
+        cluster.cluster_dashboard_uri()
+        == "Dashboard not available yet, have you run cluster.up()?"
+    )
+
+
+def test_ray_job_wrapping(mocker):
+    import ray
+
+    def ray_addr(self, *args):
+        return self._address
+
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+    cluster = cluster = createClusterWithConfig(mocker)
+    mocker.patch(
+        "ray.job_submission.JobSubmissionClient._check_connection_and_version_with_url",
+        return_value="None",
+    )
+    mock_res = mocker.patch.object(
+        ray.job_submission.JobSubmissionClient, "list_jobs", autospec=True
+    )
+    mock_res.side_effect = ray_addr
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
+        return_value={"spec": {"domain": ""}},
+    )
+    mocker.patch(
+        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
+        return_value=ingress_retrieval(),
+    )
+    assert cluster.list_jobs() == cluster.cluster_dashboard_uri()
+
+    mock_res = mocker.patch.object(
+        ray.job_submission.JobSubmissionClient, "get_job_status", autospec=True
+    )
+    mock_res.side_effect = ray_addr
+    assert cluster.job_status("fake_id") == cluster.cluster_dashboard_uri()
+
+    mock_res = mocker.patch.object(
+        ray.job_submission.JobSubmissionClient, "get_job_logs", autospec=True
+    )
+    mock_res.side_effect = ray_addr
+    assert cluster.job_logs("fake_id") == cluster.cluster_dashboard_uri()
+
+
+def test_local_client_url(mocker):
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
+        return_value={"spec": {"domain": ""}},
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._get_ingress_domain",
+        return_value="rayclient-unit-test-cluster-localinter-ns.apps.cluster.awsroute.org",
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.create_app_wrapper",
+        return_value="unit-test-cluster-localinter.yaml",
+    )
+
+    cluster_config = ClusterConfiguration(
+        name="unit-test-cluster-localinter",
+        namespace="ns",
+    )
+    cluster = Cluster(cluster_config)
+    assert (
+        cluster.local_client_url()
+        == "ray://rayclient-unit-test-cluster-localinter-ns.apps.cluster.awsroute.org"
+    )
+
+
+"""
+get_cluster tests
+"""
+
+
+def test_get_cluster_openshift(mocker):
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    # Mock the client.ApisApi function to return a mock object
+    mock_api = MagicMock()
+    mock_api.get_api_versions.return_value.groups = [
+        MagicMock(versions=[MagicMock(group_version="route.openshift.io/v1")])
+    ]
+    mocker.patch("kubernetes.client.ApisApi", return_value=mock_api)
+    mocker.patch(
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
+        return_value="true",
+    )
+
+    assert is_openshift_cluster()
+
+    def custom_side_effect(group, version, namespace, plural, **kwargs):
+        if plural == "routes":
+            return route_list_retrieval("route.openshift.io", "v1", "ns", "routes")
+        elif plural == "rayclusters":
+            return get_ray_obj("ray.io", "v1", "ns", "rayclusters")
+        elif plural == "appwrappers":
+            return get_aw_obj("workload.codeflare.dev", "v1beta2", "ns", "appwrappers")
+        elif plural == "localqueues":
+            return get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues")
+
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", get_aw_obj
+    )
+
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        side_effect=custom_side_effect,
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
+        return_value=get_named_aw,
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
+        side_effect=route_list_retrieval("route.openshift.io", "v1", "ns", "routes")[
+            "items"
+        ],
+    )
+    mocker.patch(
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
+        return_value="true",
+    )
+
+    cluster = get_cluster(
+        "test-cluster-a", "ns"
+    )  # see tests/test_cluster_yamls/support_clusters
+    cluster_config = cluster.config
+
+    assert cluster_config.name == "test-cluster-a" and cluster_config.namespace == "ns"
+    assert cluster_config.head_cpu_requests == 2 and cluster_config.head_cpu_limits == 2
+    assert (
+        cluster_config.head_memory_requests == "8G"
+        and cluster_config.head_memory_limits == "8G"
+    )
+    assert (
+        cluster_config.worker_cpu_requests == 1
+        and cluster_config.worker_cpu_limits == 1
+    )
+    assert (
+        cluster_config.worker_memory_requests == "2G"
+        and cluster_config.worker_memory_limits == "2G"
+    )
+    assert cluster_config.num_workers == 1
+    assert cluster_config.write_to_file == False
+    assert cluster_config.local_queue == "local_default_queue"
+
+
+def test_get_cluster(mocker):
+    # test get_cluster for Kind Clusters
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        side_effect=get_ray_obj,
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
+        side_effect=get_named_aw,
+    )
+    mocker.patch(
+        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
+        return_value=ingress_retrieval(cluster_name="quicktest", client_ing=True),
+    )
+    mocker.patch(
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
+        return_value="true",
+    )
+    cluster = get_cluster(
+        "test-cluster-a"
+    )  # see tests/test_cluster_yamls/support_clusters
+    cluster_config = cluster.config
+
+    assert cluster_config.name == "test-cluster-a" and cluster_config.namespace == "ns"
+    assert cluster_config.head_cpu_requests == 2 and cluster_config.head_cpu_limits == 2
+    assert (
+        cluster_config.head_memory_requests == "8G"
+        and cluster_config.head_memory_limits == "8G"
+    )
+    assert (
+        cluster_config.worker_cpu_requests == 1
+        and cluster_config.worker_cpu_limits == 1
+    )
+    assert (
+        cluster_config.worker_memory_requests == "2G"
+        and cluster_config.worker_memory_limits == "2G"
+    )
+    assert cluster_config.num_workers == 1
+    assert cluster_config.write_to_file == False
+    assert cluster_config.local_queue == "local_default_queue"
+
+
+def test_wait_ready(mocker, capsys):
+    from codeflare_sdk.ray.cluster.status import CodeFlareClusterStatus
+
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch(
+        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
+        return_value=ingress_retrieval(),
+    )
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._app_wrapper_status", return_value=None
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=None
+    )
+    mocker.patch(
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
+        return_value="true",
+    )
+    mocker.patch.object(
+        client.CustomObjectsApi,
+        "list_namespaced_custom_object",
+        return_value={
+            "items": [
+                {
+                    "metadata": {"name": "ray-dashboard-test"},
+                    "spec": {"host": "mocked-host"},
+                }
+            ]
+        },
+    )
+    mock_response = mocker.Mock()
+    mock_response.status_code = 200
+    mocker.patch("requests.get", return_value=mock_response)
+    cf = Cluster(
+        ClusterConfiguration(
+            name="test",
+            namespace="ns",
+            write_to_file=False,
+            appwrapper=True,
+            local_queue="local-queue-default",
+        )
+    )
+    try:
+        cf.wait_ready(timeout=5)
+        assert 1 == 0
+    except Exception as e:
+        assert type(e) == TimeoutError
+
+    captured = capsys.readouterr()
+    assert (
+        "WARNING: Current cluster status is unknown, have you run cluster.up yet?"
+        in captured.out
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.status",
+        return_value=(True, CodeFlareClusterStatus.READY),
+    )
+    cf.wait_ready()
+    captured = capsys.readouterr()
+    assert (
+        captured.out
+        == "Waiting for requested resources to be set up...\nRequested cluster is up and running!\nDashboard is ready!\n"
+    )
+    cf.wait_ready(dashboard_check=False)
+    captured = capsys.readouterr()
+    assert (
+        captured.out
+        == "Waiting for requested resources to be set up...\nRequested cluster is up and running!\n"
+    )
+
+
+def test_list_queue_appwrappers(mocker, capsys):
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_obj_none(
+            "workload.codeflare.dev", "v1beta2", "ns", "appwrappers"
+        ),
+    )
+    list_all_queued("ns", appwrapper=True)
+    captured = capsys.readouterr()
+    assert captured.out == (
+        "╭──────────────────────────────────────────────────────────────────────────────╮\n"
+        "│ No resources found, have you run cluster.up() yet?                           │\n"
+        "╰──────────────────────────────────────────────────────────────────────────────╯\n"
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_aw_obj_with_status(
+            "workload.codeflare.dev", "v1beta2", "ns", "appwrappers"
+        ),
+    )
+    list_all_queued("ns", appwrapper=True)
+    captured = capsys.readouterr()
+    print(captured.out)
+    assert captured.out == (
+        "╭────────────────────────────────╮\n"
+        "│   🚀 Cluster Queue Status 🚀   │\n"
+        "│ +----------------+-----------+ │\n"
+        "│ | Name           | Status    | │\n"
+        "│ +================+===========+ │\n"
+        "│ | test-cluster-a | running   | │\n"
+        "│ |                |           | │\n"
+        "│ | test-cluster-b | suspended | │\n"
+        "│ |                |           | │\n"
+        "│ +----------------+-----------+ │\n"
+        "╰────────────────────────────────╯\n"
+    )
+
+
+def test_list_queue_rayclusters(mocker, capsys):
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mock_api = MagicMock()
+    mock_api.get_api_versions.return_value.groups = [
+        MagicMock(versions=[MagicMock(group_version="route.openshift.io/v1")])
+    ]
+    mocker.patch("kubernetes.client.ApisApi", return_value=mock_api)
+
+    assert is_openshift_cluster() == True
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_obj_none("ray.io", "v1", "ns", "rayclusters"),
+    )
+
+    list_all_queued("ns")
+    captured = capsys.readouterr()
+    assert captured.out == (
+        "╭──────────────────────────────────────────────────────────────────────────────╮\n"
+        "│ No resources found, have you run cluster.up() yet?                           │\n"
+        "╰──────────────────────────────────────────────────────────────────────────────╯\n"
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_ray_obj_with_status("ray.io", "v1", "ns", "rayclusters"),
+    )
+
+    list_all_queued("ns")
+    captured = capsys.readouterr()
+    # print(captured.out) -> useful for updating the test
+    assert captured.out == (
+        "╭────────────────────────────────╮\n"
+        "│   🚀 Cluster Queue Status 🚀   │\n"
+        "│ +----------------+-----------+ │\n"
+        "│ | Name           | Status    | │\n"
+        "│ +================+===========+ │\n"
+        "│ | test-cluster-a | ready     | │\n"
+        "│ |                |           | │\n"
+        "│ | test-rc-b      | suspended | │\n"
+        "│ |                |           | │\n"
+        "│ +----------------+-----------+ │\n"
+        "╰────────────────────────────────╯\n"
+    )
+
+
+def test_list_clusters(mocker, capsys):
+    from codeflare_sdk.ray.cluster.cluster import list_all_clusters
+
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        side_effect=get_obj_none,
+    )
+    mocker.patch(
+        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
+    )
+    list_all_clusters("ns")
+    captured = capsys.readouterr()
+    assert captured.out == (
+        "╭──────────────────────────────────────────────────────────────────────────────╮\n"
+        "│ No resources found, have you run cluster.up() yet?                           │\n"
+        "╰──────────────────────────────────────────────────────────────────────────────╯\n"
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        side_effect=get_ray_obj,
+    )
+    list_all_clusters("ns")
+    captured = capsys.readouterr()
+    # print(captured.out) -> useful for updating the test
+    assert captured.out == (
+        "                    🚀 CodeFlare Cluster Details 🚀                   \n"
+        "                                                                      \n"
+        " ╭──────────────────────────────────────────────────────────────────╮ \n"
+        " │   Name                                                           │ \n"
+        " │   test-cluster-a                                   Inactive ❌   │ \n"
+        " │                                                                  │ \n"
+        " │   URI: ray://test-cluster-a-head-svc.ns.svc:10001                │ \n"
+        " │                                                                  │ \n"
+        " │   Dashboard🔗                                                    │ \n"
+        " │                                                                  │ \n"
+        " │                       Cluster Resources                          │ \n"
+        " │   ╭── Workers ──╮  ╭───────── Worker specs(each) ─────────╮      │ \n"
+        " │   │  # Workers  │  │  Memory      CPU         GPU         │      │ \n"
+        " │   │             │  │                                      │      │ \n"
+        " │   │  1          │  │  2G~2G       1~1         0           │      │ \n"
+        " │   │             │  │                                      │      │ \n"
+        " │   ╰─────────────╯  ╰──────────────────────────────────────╯      │ \n"
+        " ╰──────────────────────────────────────────────────────────────────╯ \n"
+        "╭───────────────────────────────────────────────────────────────╮\n"
+        "│   Name                                                        │\n"
+        "│   test-rc-b                                   Inactive ❌     │\n"
+        "│                                                               │\n"
+        "│   URI: ray://test-rc-b-head-svc.ns.svc:10001                  │\n"
+        "│                                                               │\n"
+        "│   Dashboard🔗                                                 │\n"
+        "│                                                               │\n"
+        "│                       Cluster Resources                       │\n"
+        "│   ╭── Workers ──╮  ╭───────── Worker specs(each) ─────────╮   │\n"
+        "│   │  # Workers  │  │  Memory      CPU         GPU         │   │\n"
+        "│   │             │  │                                      │   │\n"
+        "│   │  1          │  │  2G~2G       1~1         0           │   │\n"
+        "│   │             │  │                                      │   │\n"
+        "│   ╰─────────────╯  ╰──────────────────────────────────────╯   │\n"
+        "╰───────────────────────────────────────────────────────────────╯\n"
+    )
+
+
+def test_map_to_ray_cluster(mocker):
+    from codeflare_sdk.ray.cluster.cluster import _map_to_ray_cluster
+
+    mocker.patch("kubernetes.config.load_kube_config")
+
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.is_openshift_cluster", return_value=True
+    )
+
+    mock_api_client = mocker.MagicMock(spec=client.ApiClient)
+    mocker.patch(
+        "codeflare_sdk.common.kubernetes_cluster.auth.get_api_client",
+        return_value=mock_api_client,
+    )
+
+    mock_routes = {
+        "items": [
+            {
+                "apiVersion": "route.openshift.io/v1",
+                "kind": "Route",
+                "metadata": {
+                    "name": "ray-dashboard-test-cluster-a",
+                    "namespace": "ns",
+                },
+                "spec": {"host": "ray-dashboard-test-cluster-a"},
+            },
+        ]
+    }
+
+    def custom_side_effect(group, version, namespace, plural, **kwargs):
+        if plural == "routes":
+            return mock_routes
+        elif plural == "rayclusters":
+            return get_ray_obj("ray.io", "v1", "ns", "rayclusters")
+
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        side_effect=custom_side_effect,
+    )
+
+    rc = get_ray_obj("ray.io", "v1", "ns", "rayclusters")["items"][0]
+    rc_name = rc["metadata"]["name"]
+    rc_dashboard = f"http://ray-dashboard-{rc_name}"
+
+    result = _map_to_ray_cluster(rc)
+
+    assert result is not None
+    assert result.dashboard == rc_dashboard
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
new file mode 100644
index 00000000..f1ac5355
--- /dev/null
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -0,0 +1,170 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from codeflare_sdk.common.utils.unit_test_support import createClusterWrongType
+from codeflare_sdk.ray.cluster.cluster import ClusterConfiguration, Cluster
+from pathlib import Path
+from unittest.mock import patch
+import filecmp
+import pytest
+import yaml
+import os
+
+parent = Path(__file__).resolve().parents[4]  # project directory
+expected_clusters_dir = f"{parent}/tests/test_cluster_yamls"
+aw_dir = os.path.expanduser("~/.codeflare/resources/")
+
+
+def test_default_cluster_creation(mocker):
+    # Create a Ray Cluster using the default config variables
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object")
+
+    cluster = Cluster(
+        ClusterConfiguration(
+            name="default-cluster",
+            namespace="ns",
+        )
+    )
+
+    test_rc = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader)
+    with open(f"{expected_clusters_dir}/ray/default-ray-cluster.yaml") as f:
+        expected_rc = yaml.load(f, Loader=yaml.FullLoader)
+        assert test_rc == expected_rc
+
+
+def test_default_appwrapper_creation(mocker):
+    # Create an AppWrapper using the default config variables
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object")
+
+    cluster = Cluster(
+        ClusterConfiguration(name="default-appwrapper", namespace="ns", appwrapper=True)
+    )
+
+    test_aw = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader)
+    with open(f"{expected_clusters_dir}/ray/default-appwrapper.yaml") as f:
+        expected_aw = yaml.load(f, Loader=yaml.FullLoader)
+        assert test_aw == expected_aw
+
+
+@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"})
+def test_config_creation_all_parameters(mocker):
+    from codeflare_sdk.ray.cluster.config import DEFAULT_RESOURCE_MAPPING
+
+    mocker.patch(
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
+        return_value="true",
+    )
+    extended_resource_mapping = DEFAULT_RESOURCE_MAPPING
+    extended_resource_mapping.update({"example.com/gpu": "GPU"})
+
+    config = ClusterConfiguration(
+        name="test-all-params",
+        namespace="ns",
+        head_info=["test1", "test2"],
+        head_cpu_requests=4,
+        head_cpu_limits=8,
+        head_memory_requests=12,
+        head_memory_limits=16,
+        head_extended_resource_requests={"nvidia.com/gpu": 1},
+        machine_types={"gpu.small", "gpu.large"},
+        worker_cpu_requests=4,
+        worker_cpu_limits=8,
+        num_workers=10,
+        worker_memory_requests=12,
+        worker_memory_limits=16,
+        template=f"{parent}/src/codeflare_sdk/ray/templates/base-template.yaml",
+        appwrapper=False,
+        envs={"key1": "value1", "key2": "value2"},
+        image="example/ray:tag",
+        image_pull_secrets=["secret1", "secret2"],
+        write_to_file=True,
+        verify_tls=True,
+        labels={"key1": "value1", "key2": "value2"},
+        worker_extended_resource_requests={"nvidia.com/gpu": 1},
+        extended_resource_mapping=extended_resource_mapping,
+        overwrite_default_resource_mapping=True,
+        local_queue="local-queue-default",
+    )
+    Cluster(config)
+
+    assert config.name == "test-all-params" and config.namespace == "ns"
+    assert config.head_info == ["test1", "test2"]
+    assert config.head_cpu_requests == 4
+    assert config.head_cpu_limits == 8
+    assert config.head_memory_requests == "12G"
+    assert config.head_memory_limits == "16G"
+    assert config.head_extended_resource_requests == {"nvidia.com/gpu": 1}
+    assert config.machine_types == {"gpu.small", "gpu.large"}
+    assert config.worker_cpu_requests == 4
+    assert config.worker_cpu_limits == 8
+    assert config.num_workers == 10
+    assert config.worker_memory_requests == "12G"
+    assert config.worker_memory_limits == "16G"
+    assert (
+        config.template
+        == f"{parent}/src/codeflare_sdk/ray/templates/base-template.yaml"
+    )
+    assert config.appwrapper == False
+    assert config.envs == {"key1": "value1", "key2": "value2"}
+    assert config.image == "example/ray:tag"
+    assert config.image_pull_secrets == ["secret1", "secret2"]
+    assert config.write_to_file == True
+    assert config.verify_tls == True
+    assert config.labels == {"key1": "value1", "key2": "value2"}
+    assert config.worker_extended_resource_requests == {"nvidia.com/gpu": 1}
+    assert config.extended_resource_mapping == extended_resource_mapping
+    assert config.overwrite_default_resource_mapping == True
+    assert config.local_queue == "local-queue-default"
+
+    assert filecmp.cmp(
+        f"{aw_dir}test-all-params.yaml",
+        f"{expected_clusters_dir}/ray/unit-test-all-params.yaml",
+        shallow=True,
+    )
+
+
+def test_config_creation_wrong_type():
+    with pytest.raises(TypeError):
+        createClusterWrongType()
+
+
+def test_cluster_config_deprecation_conversion(mocker):
+    config = ClusterConfiguration(
+        name="test",
+        num_gpus=2,
+        head_gpus=1,
+        head_cpus=3,
+        head_memory=16,
+        min_memory=3,
+        max_memory=4,
+        min_cpus=1,
+        max_cpus=2,
+    )
+    assert config.head_cpu_requests == 3
+    assert config.head_cpu_limits == 3
+    assert config.head_memory_requests == "16G"
+    assert config.head_memory_limits == "16G"
+    assert config.worker_extended_resource_requests == {"nvidia.com/gpu": 2}
+    assert config.head_extended_resource_requests == {"nvidia.com/gpu": 1}
+    assert config.worker_memory_requests == "3G"
+    assert config.worker_memory_limits == "4G"
+    assert config.worker_cpu_requests == 1
+    assert config.worker_cpu_limits == 2
+
+
+# Make sure to always keep this function last
+def test_cleanup():
+    os.remove(f"{aw_dir}test-all-params.yaml")
diff --git a/src/codeflare_sdk/ray/cluster/test_generate_yaml.py b/src/codeflare_sdk/ray/cluster/test_generate_yaml.py
new file mode 100644
index 00000000..68c6aa89
--- /dev/null
+++ b/src/codeflare_sdk/ray/cluster/test_generate_yaml.py
@@ -0,0 +1,34 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from codeflare_sdk.ray.cluster.generate_yaml import gen_names
+import uuid
+
+
+def test_gen_names_with_name(mocker):
+    mocker.patch.object(
+        uuid, "uuid4", return_value=uuid.UUID("00000000-0000-0000-0000-000000000001")
+    )
+    name = "myname"
+    appwrapper_name, cluster_name = gen_names(name)
+    assert appwrapper_name == name
+    assert cluster_name == name
+
+
+def test_gen_names_without_name(mocker):
+    mocker.patch.object(
+        uuid, "uuid4", return_value=uuid.UUID("00000000-0000-0000-0000-000000000001")
+    )
+    appwrapper_name, cluster_name = gen_names(None)
+    assert appwrapper_name.startswith("appwrapper-")
+    assert cluster_name.startswith("cluster-")
diff --git a/src/codeflare_sdk/ray/cluster/test_pretty_print.py b/src/codeflare_sdk/ray/cluster/test_pretty_print.py
new file mode 100644
index 00000000..b0da4201
--- /dev/null
+++ b/src/codeflare_sdk/ray/cluster/test_pretty_print.py
@@ -0,0 +1,208 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from codeflare_sdk.ray.cluster.pretty_print import (
+    print_app_wrappers_status,
+    print_cluster_status,
+    print_clusters,
+    print_no_resources_found,
+)
+from codeflare_sdk.ray.appwrapper.status import AppWrapperStatus, AppWrapper
+from codeflare_sdk.ray.cluster.status import (
+    RayCluster,
+    RayClusterStatus,
+    CodeFlareClusterStatus,
+)
+from codeflare_sdk.ray.cluster.cluster import (
+    Cluster,
+    ClusterConfiguration,
+    _copy_to_ray,
+)
+
+
+def test_print_no_resources(capsys):
+    try:
+        print_no_resources_found()
+    except Exception:
+        assert 1 == 0
+    captured = capsys.readouterr()
+    assert captured.out == (
+        "╭──────────────────────────────────────────────────────────────────────────────╮\n"
+        "│ No resources found, have you run cluster.up() yet?                           │\n"
+        "╰──────────────────────────────────────────────────────────────────────────────╯\n"
+    )
+
+
+def test_print_appwrappers(capsys):
+    aw1 = AppWrapper(
+        name="awtest1",
+        status=AppWrapperStatus.SUSPENDED,
+    )
+    aw2 = AppWrapper(
+        name="awtest2",
+        status=AppWrapperStatus.RUNNING,
+    )
+    try:
+        print_app_wrappers_status([aw1, aw2])
+    except Exception:
+        assert 1 == 0
+    captured = capsys.readouterr()
+    assert captured.out == (
+        "╭─────────────────────────╮\n"
+        "│     🚀 Cluster Queue    │\n"
+        "│        Status 🚀        │\n"
+        "│ +---------+-----------+ │\n"
+        "│ | Name    | Status    | │\n"
+        "│ +=========+===========+ │\n"
+        "│ | awtest1 | suspended | │\n"
+        "│ |         |           | │\n"
+        "│ | awtest2 | running   | │\n"
+        "│ |         |           | │\n"
+        "│ +---------+-----------+ │\n"
+        "╰─────────────────────────╯\n"
+    )
+
+
+def test_ray_details(mocker, capsys):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    ray1 = RayCluster(
+        name="raytest1",
+        status=RayClusterStatus.READY,
+        num_workers=1,
+        worker_mem_requests="2G",
+        worker_mem_limits="2G",
+        worker_cpu_requests=1,
+        worker_cpu_limits=1,
+        namespace="ns",
+        dashboard="fake-uri",
+        head_cpu_requests=2,
+        head_cpu_limits=2,
+        head_mem_requests=8,
+        head_mem_limits=8,
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.status",
+        return_value=(False, CodeFlareClusterStatus.UNKNOWN),
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.cluster_dashboard_uri",
+        return_value="",
+    )
+    mocker.patch(
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
+        return_value="true",
+    )
+    cf = Cluster(
+        ClusterConfiguration(
+            name="raytest2",
+            namespace="ns",
+            appwrapper=True,
+            local_queue="local_default_queue",
+        )
+    )
+    captured = capsys.readouterr()
+    ray2 = _copy_to_ray(cf)
+    details = cf.details()
+    assert details == ray2
+    assert ray2.name == "raytest2"
+    assert ray1.namespace == ray2.namespace
+    assert ray1.num_workers == ray2.num_workers
+    assert ray1.worker_mem_requests == ray2.worker_mem_requests
+    assert ray1.worker_mem_limits == ray2.worker_mem_limits
+    assert ray1.worker_cpu_requests == ray2.worker_cpu_requests
+    assert ray1.worker_cpu_limits == ray2.worker_cpu_limits
+    assert ray1.worker_extended_resources == ray2.worker_extended_resources
+    try:
+        print_clusters([ray1, ray2])
+        print_cluster_status(ray1)
+        print_cluster_status(ray2)
+    except Exception:
+        assert 0 == 1
+    captured = capsys.readouterr()
+    assert captured.out == (
+        "                  🚀 CodeFlare Cluster Details 🚀                  \n"
+        "                                                                   \n"
+        " ╭───────────────────────────────────────────────────────────────╮ \n"
+        " │   Name                                                        │ \n"
+        " │   raytest2                                   Inactive ❌      │ \n"
+        " │                                                               │ \n"
+        " │   URI: ray://raytest2-head-svc.ns.svc:10001                   │ \n"
+        " │                                                               │ \n"
+        " │   Dashboard🔗                                                 │ \n"
+        " │                                                               │ \n"
+        " │                       Cluster Resources                       │ \n"
+        " │   ╭── Workers ──╮  ╭───────── Worker specs(each) ─────────╮   │ \n"
+        " │   │  # Workers  │  │  Memory      CPU         GPU         │   │ \n"
+        " │   │             │  │                                      │   │ \n"
+        " │   │  1          │  │  2G~2G       1~1         0           │   │ \n"
+        " │   │             │  │                                      │   │ \n"
+        " │   ╰─────────────╯  ╰──────────────────────────────────────╯   │ \n"
+        " ╰───────────────────────────────────────────────────────────────╯ \n"
+        "                  🚀 CodeFlare Cluster Details 🚀                  \n"
+        "                                                                   \n"
+        " ╭───────────────────────────────────────────────────────────────╮ \n"
+        " │   Name                                                        │ \n"
+        " │   raytest1                                   Active ✅        │ \n"
+        " │                                                               │ \n"
+        " │   URI: ray://raytest1-head-svc.ns.svc:10001                   │ \n"
+        " │                                                               │ \n"
+        " │   Dashboard🔗                                                 │ \n"
+        " │                                                               │ \n"
+        " │                       Cluster Resources                       │ \n"
+        " │   ╭── Workers ──╮  ╭───────── Worker specs(each) ─────────╮   │ \n"
+        " │   │  # Workers  │  │  Memory      CPU         GPU         │   │ \n"
+        " │   │             │  │                                      │   │ \n"
+        " │   │  1          │  │  2G~2G       1~1         0           │   │ \n"
+        " │   │             │  │                                      │   │ \n"
+        " │   ╰─────────────╯  ╰──────────────────────────────────────╯   │ \n"
+        " ╰───────────────────────────────────────────────────────────────╯ \n"
+        "╭───────────────────────────────────────────────────────────────╮\n"
+        "│   Name                                                        │\n"
+        "│   raytest2                                   Inactive ❌      │\n"
+        "│                                                               │\n"
+        "│   URI: ray://raytest2-head-svc.ns.svc:10001                   │\n"
+        "│                                                               │\n"
+        "│   Dashboard🔗                                                 │\n"
+        "│                                                               │\n"
+        "│                       Cluster Resources                       │\n"
+        "│   ╭── Workers ──╮  ╭───────── Worker specs(each) ─────────╮   │\n"
+        "│   │  # Workers  │  │  Memory      CPU         GPU         │   │\n"
+        "│   │             │  │                                      │   │\n"
+        "│   │  1          │  │  2G~2G       1~1         0           │   │\n"
+        "│   │             │  │                                      │   │\n"
+        "│   ╰─────────────╯  ╰──────────────────────────────────────╯   │\n"
+        "╰───────────────────────────────────────────────────────────────╯\n"
+        "                🚀 CodeFlare Cluster Status 🚀                \n"
+        "                                                              \n"
+        " ╭──────────────────────────────────────────────────────────╮ \n"
+        " │   Name                                                   │ \n"
+        " │   raytest1                                   Active ✅   │ \n"
+        " │                                                          │ \n"
+        " │   URI: ray://raytest1-head-svc.ns.svc:10001              │ \n"
+        " │                                                          │ \n"
+        " │   Dashboard🔗                                            │ \n"
+        " │                                                          │ \n"
+        " ╰──────────────────────────────────────────────────────────╯ \n"
+        "                 🚀 CodeFlare Cluster Status 🚀                 \n"
+        "                                                                \n"
+        " ╭────────────────────────────────────────────────────────────╮ \n"
+        " │   Name                                                     │ \n"
+        " │   raytest2                                   Inactive ❌   │ \n"
+        " │                                                            │ \n"
+        " │   URI: ray://raytest2-head-svc.ns.svc:10001                │ \n"
+        " │                                                            │ \n"
+        " │   Dashboard🔗                                              │ \n"
+        " │                                                            │ \n"
+        " ╰────────────────────────────────────────────────────────────╯ \n"
+    )
diff --git a/src/codeflare_sdk/ray/cluster/test_status.py b/src/codeflare_sdk/ray/cluster/test_status.py
new file mode 100644
index 00000000..146d2190
--- /dev/null
+++ b/src/codeflare_sdk/ray/cluster/test_status.py
@@ -0,0 +1,114 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from codeflare_sdk.ray.cluster.cluster import (
+    Cluster,
+    ClusterConfiguration,
+    _ray_cluster_status,
+)
+from codeflare_sdk.ray.cluster.status import (
+    CodeFlareClusterStatus,
+    RayClusterStatus,
+    RayCluster,
+)
+import os
+
+aw_dir = os.path.expanduser("~/.codeflare/resources/")
+
+
+def test_cluster_status(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
+        return_value="true",
+    )
+
+    fake_ray = RayCluster(
+        name="test",
+        status=RayClusterStatus.UNKNOWN,
+        num_workers=1,
+        worker_mem_requests=2,
+        worker_mem_limits=2,
+        worker_cpu_requests=1,
+        worker_cpu_limits=1,
+        namespace="ns",
+        dashboard="fake-uri",
+        head_cpu_requests=2,
+        head_cpu_limits=2,
+        head_mem_requests=8,
+        head_mem_limits=8,
+    )
+    cf = Cluster(
+        ClusterConfiguration(
+            name="test",
+            namespace="ns",
+            write_to_file=True,
+            appwrapper=False,
+            local_queue="local_default_queue",
+        )
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=None
+    )
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.UNKNOWN
+    assert ready == False
+
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=fake_ray
+    )
+
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.STARTING
+    assert ready == False
+
+    fake_ray.status = RayClusterStatus.FAILED
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.FAILED
+    assert ready == False
+
+    fake_ray.status = RayClusterStatus.UNHEALTHY
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.FAILED
+    assert ready == False
+
+    fake_ray.status = RayClusterStatus.READY
+    status, ready = cf.status()
+    assert status == CodeFlareClusterStatus.READY
+    assert ready == True
+
+
+def rc_status_fields(group, version, namespace, plural, *args):
+    assert group == "ray.io"
+    assert version == "v1"
+    assert namespace == "test-ns"
+    assert plural == "rayclusters"
+    assert args == tuple()
+    return {"items": []}
+
+
+def test_rc_status(mocker):
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        side_effect=rc_status_fields,
+    )
+    rc = _ray_cluster_status("test-rc", "test-ns")
+    assert rc == None
+
+
+# Make sure to always keep this function last
+def test_cleanup():
+    os.remove(f"{aw_dir}test.yaml")
diff --git a/tests/demo_test.py b/tests/demo_test.py
deleted file mode 100644
index b5453058..00000000
--- a/tests/demo_test.py
+++ /dev/null
@@ -1,62 +0,0 @@
-# Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-These were the old tests used during initial demo building, and they will soon be fully deprecated.
-"""
-
-from codeflare_sdk.ray.cluster.cluster import (
-    list_all_clusters,
-    list_all_queued,
-    _app_wrapper_status,
-)
-from codeflare_sdk.ray.cluster.cluster import Cluster, ClusterConfiguration
-
-import time
-
-# FIXME - These tests currently assume OC logged in, and not self-contained unit/funcitonal tests
-
-
-def test_cluster_up():
-    cluster = Cluster(ClusterConfiguration(name="raycluster-autoscaler"))
-    cluster.up()
-    time.sleep(15)
-
-
-def test_list_clusters():
-    clusters = list_all_clusters()
-
-
-def test_cluster_status():
-    cluster = Cluster(ClusterConfiguration(name="raycluster-autoscaler"))
-    cluster.status()
-
-
-def test_app_wrapper_status():
-    print(_app_wrapper_status("raycluster-autoscaler"))
-
-
-def test_cluster_down():
-    cluster = Cluster(ClusterConfiguration(name="raycluster-autoscaler"))
-    cluster.down()
-
-
-def test_no_resources_found():
-    from codeflare_sdk.ray.cluster import pretty_print
-
-    pretty_print.print_no_resources_found()
-
-
-def test_list_app_wrappers():
-    app_wrappers = list_all_queued()
diff --git a/tests/func_test.py b/tests/func_test.py
deleted file mode 100644
index 6b5799c3..00000000
--- a/tests/func_test.py
+++ /dev/null
@@ -1,21 +0,0 @@
-# Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from pathlib import Path
-import sys
-
-parent = Path(__file__).resolve().parents[1]
-sys.path.append(str(parent) + "/src")
-
-# COMING SOON!
diff --git a/tests/test-case-bad.yaml b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
similarity index 100%
rename from tests/test-case-bad.yaml
rename to tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
diff --git a/tests/test-case.yaml b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
similarity index 93%
rename from tests/test-case.yaml
rename to tests/test_cluster_yamls/kueue/aw_kueue.yaml
index c03422cf..2c6d868a 100644
--- a/tests/test-case.yaml
+++ b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
@@ -3,7 +3,7 @@ kind: AppWrapper
 metadata:
   labels:
     kueue.x-k8s.io/queue-name: local-queue-default
-  name: unit-test-cluster
+  name: unit-test-aw-kueue
   namespace: ns
 spec:
   components:
@@ -13,7 +13,7 @@ spec:
       metadata:
         labels:
           controller-tools.k8s.io: '1.0'
-        name: unit-test-cluster
+        name: unit-test-aw-kueue
         namespace: ns
       spec:
         autoscalerOptions:
@@ -76,8 +76,7 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
-              imagePullSecrets:
-              - name: unit-test-pull-secret
+              imagePullSecrets: []
               volumes:
               - configMap:
                   items:
@@ -95,12 +94,12 @@ spec:
                 name: odh-ca-cert
         rayVersion: 2.35.0
         workerGroupSpecs:
-        - groupName: small-group-unit-test-cluster
+        - groupName: small-group-unit-test-aw-kueue
           maxReplicas: 2
           minReplicas: 2
           rayStartParams:
             block: 'true'
-            num-gpus: '7'
+            num-gpus: '0'
             resources: '"{}"'
           replicas: 2
           template:
@@ -124,11 +123,9 @@ spec:
                   limits:
                     cpu: 4
                     memory: 6G
-                    nvidia.com/gpu: 7
                   requests:
                     cpu: 3
                     memory: 5G
-                    nvidia.com/gpu: 7
                 volumeMounts:
                 - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
                   name: odh-trusted-ca-cert
@@ -142,8 +139,7 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
-              imagePullSecrets:
-              - name: unit-test-pull-secret
+              imagePullSecrets: []
               volumes:
               - configMap:
                   items:
diff --git a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
new file mode 100644
index 00000000..0c4efb29
--- /dev/null
+++ b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
@@ -0,0 +1,157 @@
+apiVersion: workload.codeflare.dev/v1beta2
+kind: AppWrapper
+metadata:
+  labels:
+    kueue.x-k8s.io/queue-name: local-queue-default
+  name: unit-test-cluster-kueue
+  namespace: ns
+spec:
+  components:
+  - template:
+      apiVersion: ray.io/v1
+      kind: RayCluster
+      metadata:
+        labels:
+          controller-tools.k8s.io: '1.0'
+        name: unit-test-cluster-kueue
+        namespace: ns
+      spec:
+        autoscalerOptions:
+          idleTimeoutSeconds: 60
+          imagePullPolicy: Always
+          resources:
+            limits:
+              cpu: 500m
+              memory: 512Mi
+            requests:
+              cpu: 500m
+              memory: 512Mi
+          upscalingMode: Default
+        enableInTreeAutoscaling: false
+        headGroupSpec:
+          enableIngress: false
+          rayStartParams:
+            block: 'true'
+            dashboard-host: 0.0.0.0
+            num-gpus: '0'
+            resources: '"{}"'
+          serviceType: ClusterIP
+          template:
+            spec:
+              containers:
+              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                imagePullPolicy: Always
+                lifecycle:
+                  preStop:
+                    exec:
+                      command:
+                      - /bin/sh
+                      - -c
+                      - ray stop
+                name: ray-head
+                ports:
+                - containerPort: 6379
+                  name: gcs
+                - containerPort: 8265
+                  name: dashboard
+                - containerPort: 10001
+                  name: client
+                resources:
+                  limits:
+                    cpu: 2
+                    memory: 8G
+                  requests:
+                    cpu: 2
+                    memory: 8G
+                volumeMounts:
+                - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+              imagePullSecrets: []
+              volumes:
+              - configMap:
+                  items:
+                  - key: ca-bundle.crt
+                    path: odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-trusted-ca-cert
+              - configMap:
+                  items:
+                  - key: odh-ca-bundle.crt
+                    path: odh-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-ca-cert
+        rayVersion: 2.35.0
+        workerGroupSpecs:
+        - groupName: small-group-unit-test-cluster-kueue
+          maxReplicas: 2
+          minReplicas: 2
+          rayStartParams:
+            block: 'true'
+            num-gpus: '0'
+            resources: '"{}"'
+          replicas: 2
+          template:
+            metadata:
+              annotations:
+                key: value
+              labels:
+                key: value
+            spec:
+              containers:
+              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                lifecycle:
+                  preStop:
+                    exec:
+                      command:
+                      - /bin/sh
+                      - -c
+                      - ray stop
+                name: machine-learning
+                resources:
+                  limits:
+                    cpu: 4
+                    memory: 6G
+                  requests:
+                    cpu: 3
+                    memory: 5G
+                volumeMounts:
+                - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+              imagePullSecrets: []
+              volumes:
+              - configMap:
+                  items:
+                  - key: ca-bundle.crt
+                    path: odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-trusted-ca-cert
+              - configMap:
+                  items:
+                  - key: odh-ca-bundle.crt
+                    path: odh-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-ca-cert
diff --git a/tests/test_cluster_yamls/ray/default-appwrapper.yaml b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
new file mode 100644
index 00000000..60152c1e
--- /dev/null
+++ b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
@@ -0,0 +1,155 @@
+apiVersion: workload.codeflare.dev/v1beta2
+kind: AppWrapper
+metadata:
+  name: default-appwrapper
+  namespace: ns
+spec:
+  components:
+  - template:
+      apiVersion: ray.io/v1
+      kind: RayCluster
+      metadata:
+        labels:
+          controller-tools.k8s.io: '1.0'
+        name: default-appwrapper
+        namespace: ns
+      spec:
+        autoscalerOptions:
+          idleTimeoutSeconds: 60
+          imagePullPolicy: Always
+          resources:
+            limits:
+              cpu: 500m
+              memory: 512Mi
+            requests:
+              cpu: 500m
+              memory: 512Mi
+          upscalingMode: Default
+        enableInTreeAutoscaling: false
+        headGroupSpec:
+          enableIngress: false
+          rayStartParams:
+            block: 'true'
+            dashboard-host: 0.0.0.0
+            num-gpus: '0'
+            resources: '"{}"'
+          serviceType: ClusterIP
+          template:
+            spec:
+              containers:
+              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                imagePullPolicy: Always
+                lifecycle:
+                  preStop:
+                    exec:
+                      command:
+                      - /bin/sh
+                      - -c
+                      - ray stop
+                name: ray-head
+                ports:
+                - containerPort: 6379
+                  name: gcs
+                - containerPort: 8265
+                  name: dashboard
+                - containerPort: 10001
+                  name: client
+                resources:
+                  limits:
+                    cpu: 2
+                    memory: 8G
+                  requests:
+                    cpu: 2
+                    memory: 8G
+                volumeMounts:
+                - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+              imagePullSecrets: []
+              volumes:
+              - configMap:
+                  items:
+                  - key: ca-bundle.crt
+                    path: odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-trusted-ca-cert
+              - configMap:
+                  items:
+                  - key: odh-ca-bundle.crt
+                    path: odh-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-ca-cert
+        rayVersion: 2.35.0
+        workerGroupSpecs:
+        - groupName: small-group-default-appwrapper
+          maxReplicas: 1
+          minReplicas: 1
+          rayStartParams:
+            block: 'true'
+            num-gpus: '0'
+            resources: '"{}"'
+          replicas: 1
+          template:
+            metadata:
+              annotations:
+                key: value
+              labels:
+                key: value
+            spec:
+              containers:
+              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                lifecycle:
+                  preStop:
+                    exec:
+                      command:
+                      - /bin/sh
+                      - -c
+                      - ray stop
+                name: machine-learning
+                resources:
+                  limits:
+                    cpu: 1
+                    memory: 2G
+                  requests:
+                    cpu: 1
+                    memory: 2G
+                volumeMounts:
+                - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+              imagePullSecrets: []
+              volumes:
+              - configMap:
+                  items:
+                  - key: ca-bundle.crt
+                    path: odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-trusted-ca-cert
+              - configMap:
+                  items:
+                  - key: odh-ca-bundle.crt
+                    path: odh-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-ca-cert
diff --git a/tests/test-case-no-kueue-no-aw.yaml b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
similarity index 88%
rename from tests/test-case-no-kueue-no-aw.yaml
rename to tests/test_cluster_yamls/ray/default-ray-cluster.yaml
index ea90a275..7a3329b6 100644
--- a/tests/test-case-no-kueue-no-aw.yaml
+++ b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
@@ -1,11 +1,9 @@
 apiVersion: ray.io/v1
 kind: RayCluster
 metadata:
-  annotations:
-    app.kubernetes.io/managed-by: test-prefix
   labels:
     controller-tools.k8s.io: '1.0'
-  name: unit-test-no-kueue
+  name: default-cluster
   namespace: ns
 spec:
   autoscalerOptions:
@@ -68,8 +66,7 @@ spec:
           - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
             name: odh-ca-cert
             subPath: odh-ca-bundle.crt
-        imagePullSecrets:
-        - name: unit-test-pull-secret
+        imagePullSecrets: []
         volumes:
         - configMap:
             items:
@@ -87,14 +84,14 @@ spec:
           name: odh-ca-cert
   rayVersion: 2.35.0
   workerGroupSpecs:
-  - groupName: small-group-unit-test-no-kueue
-    maxReplicas: 2
-    minReplicas: 2
+  - groupName: small-group-default-cluster
+    maxReplicas: 1
+    minReplicas: 1
     rayStartParams:
       block: 'true'
-      num-gpus: '7'
+      num-gpus: '0'
       resources: '"{}"'
-    replicas: 2
+    replicas: 1
     template:
       metadata:
         annotations:
@@ -114,13 +111,11 @@ spec:
           name: machine-learning
           resources:
             limits:
-              cpu: 4
-              memory: 6G
-              nvidia.com/gpu: 7
+              cpu: 1
+              memory: 2G
             requests:
-              cpu: 3
-              memory: 5G
-              nvidia.com/gpu: 7
+              cpu: 1
+              memory: 2G
           volumeMounts:
           - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
             name: odh-trusted-ca-cert
@@ -134,8 +129,7 @@ spec:
           - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
             name: odh-ca-cert
             subPath: odh-ca-bundle.crt
-        imagePullSecrets:
-        - name: unit-test-pull-secret
+        imagePullSecrets: []
         volumes:
         - configMap:
             items:
diff --git a/tests/test-case-custom-image.yaml b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
similarity index 83%
rename from tests/test-case-custom-image.yaml
rename to tests/test_cluster_yamls/ray/unit-test-all-params.yaml
index d7e52507..eda7270f 100644
--- a/tests/test-case-custom-image.yaml
+++ b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
@@ -5,10 +5,10 @@ metadata:
     app.kubernetes.io/managed-by: test-prefix
   labels:
     controller-tools.k8s.io: '1.0'
+    key1: value1
+    key2: value2
     kueue.x-k8s.io/queue-name: local-queue-default
-    testlabel: test
-    testlabel2: test
-  name: unit-test-cluster-custom-image
+  name: test-all-params
   namespace: ns
 spec:
   autoscalerOptions:
@@ -28,13 +28,16 @@ spec:
     rayStartParams:
       block: 'true'
       dashboard-host: 0.0.0.0
-      num-gpus: '0'
+      num-gpus: '1'
       resources: '"{}"'
     serviceType: ClusterIP
     template:
       spec:
         containers:
-        - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118
+        - env: &id001
+            key1: value1
+            key2: value2
+          image: example/ray:tag
           imagePullPolicy: Always
           lifecycle:
             preStop:
@@ -53,11 +56,13 @@ spec:
             name: client
           resources:
             limits:
-              cpu: 2
-              memory: 8G
+              cpu: 8
+              memory: 16G
+              nvidia.com/gpu: 1
             requests:
-              cpu: 2
-              memory: 8G
+              cpu: 4
+              memory: 12G
+              nvidia.com/gpu: 1
           volumeMounts:
           - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
             name: odh-trusted-ca-cert
@@ -72,7 +77,8 @@ spec:
             name: odh-ca-cert
             subPath: odh-ca-bundle.crt
         imagePullSecrets:
-        - name: unit-test-pull-secret
+        - name: secret1
+        - name: secret2
         volumes:
         - configMap:
             items:
@@ -90,14 +96,14 @@ spec:
           name: odh-ca-cert
   rayVersion: 2.35.0
   workerGroupSpecs:
-  - groupName: small-group-unit-test-cluster-custom-image
-    maxReplicas: 2
-    minReplicas: 2
+  - groupName: small-group-test-all-params
+    maxReplicas: 10
+    minReplicas: 10
     rayStartParams:
       block: 'true'
-      num-gpus: '7'
+      num-gpus: '1'
       resources: '"{}"'
-    replicas: 2
+    replicas: 10
     template:
       metadata:
         annotations:
@@ -106,7 +112,8 @@ spec:
           key: value
       spec:
         containers:
-        - image: quay.io/project-codeflare/ray:2.20.0-py39-cu118
+        - env: *id001
+          image: example/ray:tag
           lifecycle:
             preStop:
               exec:
@@ -117,13 +124,13 @@ spec:
           name: machine-learning
           resources:
             limits:
-              cpu: 4
-              memory: 6G
-              nvidia.com/gpu: 7
+              cpu: 8
+              memory: 16G
+              nvidia.com/gpu: 1
             requests:
-              cpu: 3
-              memory: 5G
-              nvidia.com/gpu: 7
+              cpu: 4
+              memory: 12G
+              nvidia.com/gpu: 1
           volumeMounts:
           - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
             name: odh-trusted-ca-cert
@@ -138,7 +145,8 @@ spec:
             name: odh-ca-cert
             subPath: odh-ca-bundle.crt
         imagePullSecrets:
-        - name: unit-test-pull-secret
+        - name: secret1
+        - name: secret2
         volumes:
         - configMap:
             items:
diff --git a/tests/test-default-appwrapper.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
similarity index 95%
rename from tests/test-default-appwrapper.yaml
rename to tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
index 0780a46e..9b8a647f 100644
--- a/tests/test-default-appwrapper.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
@@ -2,9 +2,9 @@ apiVersion: workload.codeflare.dev/v1beta2
 kind: AppWrapper
 metadata:
   labels:
-    kueue.x-k8s.io/queue-name: local-queue-default
-  name: unit-test-default-cluster
-  namespace: opendatahub
+    kueue.x-k8s.io/queue-name: local_default_queue
+  name: test-cluster-a
+  namespace: ns
 spec:
   components:
   - template:
@@ -13,8 +13,8 @@ spec:
       metadata:
         labels:
           controller-tools.k8s.io: '1.0'
-        name: unit-test-default-cluster
-        namespace: opendatahub
+        name: test-cluster-a
+        namespace: ns
       spec:
         autoscalerOptions:
           idleTimeoutSeconds: 60
@@ -38,7 +38,6 @@ spec:
           serviceType: ClusterIP
           template:
             spec:
-              imagePullSecrets: []
               containers:
               - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
                 imagePullPolicy: Always
@@ -77,6 +76,7 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
+              imagePullSecrets: []
               volumes:
               - configMap:
                   items:
@@ -94,7 +94,7 @@ spec:
                 name: odh-ca-cert
         rayVersion: 2.35.0
         workerGroupSpecs:
-        - groupName: small-group-unit-test-default-cluster
+        - groupName: small-group-test-cluster-a
           maxReplicas: 1
           minReplicas: 1
           rayStartParams:
@@ -109,7 +109,6 @@ spec:
               labels:
                 key: value
             spec:
-              imagePullSecrets: []
               containers:
               - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
                 lifecycle:
@@ -140,6 +139,7 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
+              imagePullSecrets: []
               volumes:
               - configMap:
                   items:
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
new file mode 100644
index 00000000..763eb5c2
--- /dev/null
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
@@ -0,0 +1,157 @@
+apiVersion: workload.codeflare.dev/v1beta2
+kind: AppWrapper
+metadata:
+  labels:
+    kueue.x-k8s.io/queue-name: local_default_queue
+  name: test-cluster-b
+  namespace: ns
+spec:
+  components:
+  - template:
+      apiVersion: ray.io/v1
+      kind: RayCluster
+      metadata:
+        labels:
+          controller-tools.k8s.io: '1.0'
+        name: test-cluster-b
+        namespace: ns
+      spec:
+        autoscalerOptions:
+          idleTimeoutSeconds: 60
+          imagePullPolicy: Always
+          resources:
+            limits:
+              cpu: 500m
+              memory: 512Mi
+            requests:
+              cpu: 500m
+              memory: 512Mi
+          upscalingMode: Default
+        enableInTreeAutoscaling: false
+        headGroupSpec:
+          enableIngress: false
+          rayStartParams:
+            block: 'true'
+            dashboard-host: 0.0.0.0
+            num-gpus: '0'
+            resources: '"{}"'
+          serviceType: ClusterIP
+          template:
+            spec:
+              containers:
+              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                imagePullPolicy: Always
+                lifecycle:
+                  preStop:
+                    exec:
+                      command:
+                      - /bin/sh
+                      - -c
+                      - ray stop
+                name: ray-head
+                ports:
+                - containerPort: 6379
+                  name: gcs
+                - containerPort: 8265
+                  name: dashboard
+                - containerPort: 10001
+                  name: client
+                resources:
+                  limits:
+                    cpu: 2
+                    memory: 8G
+                  requests:
+                    cpu: 2
+                    memory: 8G
+                volumeMounts:
+                - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+              imagePullSecrets: []
+              volumes:
+              - configMap:
+                  items:
+                  - key: ca-bundle.crt
+                    path: odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-trusted-ca-cert
+              - configMap:
+                  items:
+                  - key: odh-ca-bundle.crt
+                    path: odh-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-ca-cert
+        rayVersion: 2.35.0
+        workerGroupSpecs:
+        - groupName: small-group-test-cluster-b
+          maxReplicas: 1
+          minReplicas: 1
+          rayStartParams:
+            block: 'true'
+            num-gpus: '0'
+            resources: '"{}"'
+          replicas: 1
+          template:
+            metadata:
+              annotations:
+                key: value
+              labels:
+                key: value
+            spec:
+              containers:
+              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                lifecycle:
+                  preStop:
+                    exec:
+                      command:
+                      - /bin/sh
+                      - -c
+                      - ray stop
+                name: machine-learning
+                resources:
+                  limits:
+                    cpu: 1
+                    memory: 2G
+                  requests:
+                    cpu: 1
+                    memory: 2G
+                volumeMounts:
+                - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+              imagePullSecrets: []
+              volumes:
+              - configMap:
+                  items:
+                  - key: ca-bundle.crt
+                    path: odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-trusted-ca-cert
+              - configMap:
+                  items:
+                  - key: odh-ca-bundle.crt
+                    path: odh-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-ca-cert
diff --git a/tests/test-case-no-mcad.yamls b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
similarity index 86%
rename from tests/test-case-no-mcad.yamls
rename to tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
index 36ce8e26..f12ffde0 100644
--- a/tests/test-case-no-mcad.yamls
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
@@ -1,14 +1,10 @@
 apiVersion: ray.io/v1
 kind: RayCluster
 metadata:
-  annotations:
-    app.kubernetes.io/managed-by: test-prefix
   labels:
     controller-tools.k8s.io: '1.0'
-    kueue.x-k8s.io/queue-name: local-queue-default
-    testlabel: test
-    testlabel2: test
-  name: unit-test-cluster-ray
+    kueue.x-k8s.io/queue-name: local_default_queue
+  name: test-cluster-a
   namespace: ns
 spec:
   autoscalerOptions:
@@ -71,8 +67,7 @@ spec:
           - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
             name: odh-ca-cert
             subPath: odh-ca-bundle.crt
-        imagePullSecrets:
-        - name: unit-test-pull-secret
+        imagePullSecrets: []
         volumes:
         - configMap:
             items:
@@ -90,14 +85,14 @@ spec:
           name: odh-ca-cert
   rayVersion: 2.35.0
   workerGroupSpecs:
-  - groupName: small-group-unit-test-cluster-ray
-    maxReplicas: 2
-    minReplicas: 2
+  - groupName: small-group-test-cluster-a
+    maxReplicas: 1
+    minReplicas: 1
     rayStartParams:
       block: 'true'
-      num-gpus: '7'
+      num-gpus: '0'
       resources: '"{}"'
-    replicas: 2
+    replicas: 1
     template:
       metadata:
         annotations:
@@ -117,13 +112,11 @@ spec:
           name: machine-learning
           resources:
             limits:
-              cpu: 4
-              memory: 6G
-              nvidia.com/gpu: 7
+              cpu: 1
+              memory: 2G
             requests:
-              cpu: 3
-              memory: 5G
-              nvidia.com/gpu: 7
+              cpu: 1
+              memory: 2G
           volumeMounts:
           - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
             name: odh-trusted-ca-cert
@@ -137,8 +130,7 @@ spec:
           - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
             name: odh-ca-cert
             subPath: odh-ca-bundle.crt
-        imagePullSecrets:
-        - name: unit-test-pull-secret
+        imagePullSecrets: []
         volumes:
         - configMap:
             items:
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
new file mode 100644
index 00000000..1d41e365
--- /dev/null
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
@@ -0,0 +1,148 @@
+apiVersion: ray.io/v1
+kind: RayCluster
+metadata:
+  labels:
+    controller-tools.k8s.io: '1.0'
+    kueue.x-k8s.io/queue-name: local_default_queue
+  name: test-rc-b
+  namespace: ns
+spec:
+  autoscalerOptions:
+    idleTimeoutSeconds: 60
+    imagePullPolicy: Always
+    resources:
+      limits:
+        cpu: 500m
+        memory: 512Mi
+      requests:
+        cpu: 500m
+        memory: 512Mi
+    upscalingMode: Default
+  enableInTreeAutoscaling: false
+  headGroupSpec:
+    enableIngress: false
+    rayStartParams:
+      block: 'true'
+      dashboard-host: 0.0.0.0
+      num-gpus: '0'
+      resources: '"{}"'
+    serviceType: ClusterIP
+    template:
+      spec:
+        containers:
+        - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+          imagePullPolicy: Always
+          lifecycle:
+            preStop:
+              exec:
+                command:
+                - /bin/sh
+                - -c
+                - ray stop
+          name: ray-head
+          ports:
+          - containerPort: 6379
+            name: gcs
+          - containerPort: 8265
+            name: dashboard
+          - containerPort: 10001
+            name: client
+          resources:
+            limits:
+              cpu: 2
+              memory: 8G
+            requests:
+              cpu: 2
+              memory: 8G
+          volumeMounts:
+          - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
+            name: odh-trusted-ca-cert
+            subPath: odh-trusted-ca-bundle.crt
+          - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
+            name: odh-trusted-ca-cert
+            subPath: odh-trusted-ca-bundle.crt
+          - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
+            name: odh-ca-cert
+            subPath: odh-ca-bundle.crt
+          - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
+            name: odh-ca-cert
+            subPath: odh-ca-bundle.crt
+        imagePullSecrets: []
+        volumes:
+        - configMap:
+            items:
+            - key: ca-bundle.crt
+              path: odh-trusted-ca-bundle.crt
+            name: odh-trusted-ca-bundle
+            optional: true
+          name: odh-trusted-ca-cert
+        - configMap:
+            items:
+            - key: odh-ca-bundle.crt
+              path: odh-ca-bundle.crt
+            name: odh-trusted-ca-bundle
+            optional: true
+          name: odh-ca-cert
+  rayVersion: 2.35.0
+  workerGroupSpecs:
+  - groupName: small-group-test-rc-b
+    maxReplicas: 1
+    minReplicas: 1
+    rayStartParams:
+      block: 'true'
+      num-gpus: '0'
+      resources: '"{}"'
+    replicas: 1
+    template:
+      metadata:
+        annotations:
+          key: value
+        labels:
+          key: value
+      spec:
+        containers:
+        - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+          lifecycle:
+            preStop:
+              exec:
+                command:
+                - /bin/sh
+                - -c
+                - ray stop
+          name: machine-learning
+          resources:
+            limits:
+              cpu: 1
+              memory: 2G
+            requests:
+              cpu: 1
+              memory: 2G
+          volumeMounts:
+          - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
+            name: odh-trusted-ca-cert
+            subPath: odh-trusted-ca-bundle.crt
+          - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
+            name: odh-trusted-ca-cert
+            subPath: odh-trusted-ca-bundle.crt
+          - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
+            name: odh-ca-cert
+            subPath: odh-ca-bundle.crt
+          - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
+            name: odh-ca-cert
+            subPath: odh-ca-bundle.crt
+        imagePullSecrets: []
+        volumes:
+        - configMap:
+            items:
+            - key: ca-bundle.crt
+              path: odh-trusted-ca-bundle.crt
+            name: odh-trusted-ca-bundle
+            optional: true
+          name: odh-trusted-ca-cert
+        - configMap:
+            items:
+            - key: odh-ca-bundle.crt
+              path: odh-ca-bundle.crt
+            name: odh-trusted-ca-bundle
+            optional: true
+          name: odh-ca-cert
diff --git a/tests/unit_test.py b/tests/unit_test.py
deleted file mode 100644
index 1f11643b..00000000
--- a/tests/unit_test.py
+++ /dev/null
@@ -1,3350 +0,0 @@
-# Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-import filecmp
-import os
-import re
-import sys
-import uuid
-from pathlib import Path
-
-parent = Path(__file__).resolve().parents[1]
-aw_dir = os.path.expanduser("~/.codeflare/resources/")
-sys.path.append(str(parent) + "/src")
-
-from unittest.mock import MagicMock, patch
-
-import openshift
-import pandas as pd
-import pytest
-import ray
-import yaml
-from kubernetes import client, config
-from pytest_mock import MockerFixture
-from ray.job_submission import JobSubmissionClient
-
-import codeflare_sdk.common.widgets.widgets as cf_widgets
-from codeflare_sdk.common.kubernetes_cluster import (
-    Authentication,
-    KubeConfigFileAuthentication,
-    TokenAuthentication,
-    config_check,
-)
-from codeflare_sdk.common.utils.generate_cert import (
-    export_env,
-    generate_ca_cert,
-    generate_tls_cert,
-)
-from codeflare_sdk.ray.appwrapper.awload import AWManager
-from codeflare_sdk.ray.appwrapper.status import AppWrapper, AppWrapperStatus
-from codeflare_sdk.ray.client.ray_jobs import RayJobClient
-from codeflare_sdk.ray.cluster.cluster import (
-    Cluster,
-    ClusterConfiguration,
-    _app_wrapper_status,
-    _copy_to_ray,
-    _map_to_ray_cluster,
-    _ray_cluster_status,
-    get_cluster,
-    list_all_clusters,
-    list_all_queued,
-)
-from codeflare_sdk.ray.cluster.generate_yaml import gen_names, is_openshift_cluster
-from codeflare_sdk.ray.cluster.pretty_print import (
-    print_app_wrappers_status,
-    print_cluster_status,
-    print_clusters,
-    print_no_resources_found,
-)
-from codeflare_sdk.ray.cluster.status import (
-    CodeFlareClusterStatus,
-    RayCluster,
-    RayClusterStatus,
-)
-from tests.unit_test_support import (
-    createClusterConfig,
-    createClusterWithConfig,
-    createClusterWrongType,
-    get_package_and_version,
-)
-
-# For mocking openshift client results
-fake_res = openshift.Result("fake")
-
-
-def mock_routes_api(mocker):
-    mocker.patch.object(
-        "_route_api_getter",
-        return_value=MagicMock(
-            resources=MagicMock(
-                get=MagicMock(
-                    return_value=MagicMock(
-                        create=MagicMock(),
-                        replace=MagicMock(),
-                        delete=MagicMock(),
-                    )
-                )
-            )
-        ),
-    )
-
-
-def arg_side_effect(*args):
-    fake_res.high_level_operation = args
-    return fake_res
-
-
-def att_side_effect(self):
-    return self.high_level_operation
-
-
-def test_token_auth_creation():
-    try:
-        token_auth = TokenAuthentication(token="token", server="server")
-        assert token_auth.token == "token"
-        assert token_auth.server == "server"
-        assert token_auth.skip_tls == False
-        assert token_auth.ca_cert_path == None
-
-        token_auth = TokenAuthentication(token="token", server="server", skip_tls=True)
-        assert token_auth.token == "token"
-        assert token_auth.server == "server"
-        assert token_auth.skip_tls == True
-        assert token_auth.ca_cert_path == None
-
-        os.environ["CF_SDK_CA_CERT_PATH"] = "/etc/pki/tls/custom-certs/ca-bundle.crt"
-        token_auth = TokenAuthentication(token="token", server="server", skip_tls=False)
-        assert token_auth.token == "token"
-        assert token_auth.server == "server"
-        assert token_auth.skip_tls == False
-        assert token_auth.ca_cert_path == "/etc/pki/tls/custom-certs/ca-bundle.crt"
-        os.environ.pop("CF_SDK_CA_CERT_PATH")
-
-        token_auth = TokenAuthentication(
-            token="token",
-            server="server",
-            skip_tls=False,
-            ca_cert_path=f"{parent}/tests/auth-test.crt",
-        )
-        assert token_auth.token == "token"
-        assert token_auth.server == "server"
-        assert token_auth.skip_tls == False
-        assert token_auth.ca_cert_path == f"{parent}/tests/auth-test.crt"
-
-    except Exception:
-        assert 0 == 1
-
-
-def test_token_auth_login_logout(mocker):
-    mocker.patch.object(client, "ApiClient")
-
-    token_auth = TokenAuthentication(
-        token="testtoken", server="testserver:6443", skip_tls=False, ca_cert_path=None
-    )
-    assert token_auth.login() == ("Logged into testserver:6443")
-    assert token_auth.logout() == ("Successfully logged out of testserver:6443")
-
-
-def test_token_auth_login_tls(mocker):
-    mocker.patch.object(client, "ApiClient")
-
-    token_auth = TokenAuthentication(
-        token="testtoken", server="testserver:6443", skip_tls=True, ca_cert_path=None
-    )
-    assert token_auth.login() == ("Logged into testserver:6443")
-    token_auth = TokenAuthentication(
-        token="testtoken", server="testserver:6443", skip_tls=False, ca_cert_path=None
-    )
-    assert token_auth.login() == ("Logged into testserver:6443")
-    token_auth = TokenAuthentication(
-        token="testtoken",
-        server="testserver:6443",
-        skip_tls=False,
-        ca_cert_path=f"{parent}/tests/auth-test.crt",
-    )
-    assert token_auth.login() == ("Logged into testserver:6443")
-
-    os.environ["CF_SDK_CA_CERT_PATH"] = f"{parent}/tests/auth-test.crt"
-    token_auth = TokenAuthentication(
-        token="testtoken",
-        server="testserver:6443",
-        skip_tls=False,
-    )
-    assert token_auth.login() == ("Logged into testserver:6443")
-
-
-def test_config_check_no_config_file(mocker):
-    mocker.patch("os.path.expanduser", return_value="/mock/home/directory")
-    mocker.patch("os.path.isfile", return_value=False)
-    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.config_path", None)
-    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
-
-    with pytest.raises(PermissionError):
-        config_check()
-
-
-def test_config_check_with_incluster_config(mocker):
-    mocker.patch("os.path.expanduser", return_value="/mock/home/directory")
-    mocker.patch("os.path.isfile", return_value=False)
-    mocker.patch.dict(os.environ, {"KUBERNETES_PORT": "number"})
-    mocker.patch("kubernetes.config.load_incluster_config", side_effect=None)
-    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.config_path", None)
-    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
-
-    result = config_check()
-    assert result == None
-
-
-def test_config_check_with_existing_config_file(mocker):
-    mocker.patch("os.path.expanduser", return_value="/mock/home/directory")
-    mocker.patch("os.path.isfile", return_value=True)
-    mocker.patch("kubernetes.config.load_kube_config", side_effect=None)
-    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.config_path", None)
-    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
-
-    result = config_check()
-    assert result == None
-
-
-def test_config_check_with_config_path_and_no_api_client(mocker):
-    mocker.patch(
-        "codeflare_sdk.common.kubernetes_cluster.auth.config_path", "/mock/config/path"
-    )
-    mocker.patch("codeflare_sdk.common.kubernetes_cluster.auth.api_client", None)
-    result = config_check()
-    assert result == "/mock/config/path"
-
-
-def test_load_kube_config(mocker):
-    mocker.patch.object(config, "load_kube_config")
-    kube_config_auth = KubeConfigFileAuthentication(
-        kube_config_path="/path/to/your/config"
-    )
-    response = kube_config_auth.load_kube_config()
-
-    assert (
-        response
-        == "Loaded user config file at path %s" % kube_config_auth.kube_config_path
-    )
-
-    kube_config_auth = KubeConfigFileAuthentication(kube_config_path=None)
-    response = kube_config_auth.load_kube_config()
-    assert response == "Please specify a config file path"
-
-
-def test_auth_coverage():
-    abstract = Authentication()
-    abstract.login()
-    abstract.logout()
-
-
-def test_config_creation():
-    config = createClusterConfig()
-
-    assert config.name == "unit-test-cluster" and config.namespace == "ns"
-    assert config.num_workers == 2
-    assert config.worker_cpu_requests == 3 and config.worker_cpu_limits == 4
-    assert config.worker_memory_requests == "5G" and config.worker_memory_limits == "6G"
-    assert config.worker_extended_resource_requests == {"nvidia.com/gpu": 7}
-    assert (
-        config.template
-        == f"{parent}/src/codeflare_sdk/ray/templates/base-template.yaml"
-    )
-    assert config.machine_types == ["cpu.small", "gpu.large"]
-    assert config.image_pull_secrets == ["unit-test-pull-secret"]
-    assert config.appwrapper == True
-
-
-def test_config_creation_wrong_type():
-    with pytest.raises(TypeError):
-        createClusterWrongType()
-
-
-def test_cluster_creation(mocker):
-    # Create AppWrapper containing a Ray Cluster with no local queue specified
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-    cluster = createClusterWithConfig(mocker)
-    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster.yaml"
-    assert cluster.app_wrapper_name == "unit-test-cluster"
-    assert filecmp.cmp(
-        f"{aw_dir}unit-test-cluster.yaml",
-        f"{parent}/tests/test-case.yaml",
-        shallow=True,
-    )
-
-
-@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"})
-def test_cluster_no_kueue_no_aw(mocker):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
-    )
-    mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object")
-    config = createClusterConfig()
-    config.appwrapper = False
-    config.name = "unit-test-no-kueue"
-    config.write_to_file = True
-    cluster = Cluster(config)
-    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-no-kueue.yaml"
-    assert cluster.config.local_queue == None
-    assert filecmp.cmp(
-        f"{aw_dir}unit-test-no-kueue.yaml",
-        f"{parent}/tests/test-case-no-kueue-no-aw.yaml",
-        shallow=True,
-    )
-
-
-def get_local_queue(group, version, namespace, plural):
-    assert group == "kueue.x-k8s.io"
-    assert version == "v1beta1"
-    assert namespace == "ns"
-    assert plural == "localqueues"
-    local_queues = {
-        "apiVersion": "kueue.x-k8s.io/v1beta1",
-        "items": [
-            {
-                "apiVersion": "kueue.x-k8s.io/v1beta1",
-                "kind": "LocalQueue",
-                "metadata": {
-                    "annotations": {"kueue.x-k8s.io/default-queue": "true"},
-                    "name": "local-queue-default",
-                    "namespace": "ns",
-                },
-                "spec": {"clusterQueue": "cluster-queue"},
-            },
-            {
-                "apiVersion": "kueue.x-k8s.io/v1beta1",
-                "kind": "LocalQueue",
-                "metadata": {
-                    "name": "team-a-queue",
-                    "namespace": "ns",
-                },
-                "spec": {"clusterQueue": "team-a-queue"},
-            },
-        ],
-        "kind": "LocalQueueList",
-        "metadata": {"continue": "", "resourceVersion": "2266811"},
-    }
-    return local_queues
-
-
-@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"})
-def test_cluster_creation_no_mcad(mocker):
-    # Create Ray Cluster with no local queue specified
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-
-    config = createClusterConfig()
-    config.name = "unit-test-cluster-ray"
-    config.write_to_file = True
-    config.labels = {"testlabel": "test", "testlabel2": "test"}
-    config.appwrapper = False
-    cluster = Cluster(config)
-
-    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster-ray.yaml"
-    assert cluster.app_wrapper_name == "unit-test-cluster-ray"
-    assert filecmp.cmp(
-        f"{aw_dir}unit-test-cluster-ray.yaml",
-        f"{parent}/tests/test-case-no-mcad.yamls",
-        shallow=True,
-    )
-
-
-@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"})
-def test_cluster_creation_no_mcad_local_queue(mocker):
-    # With written resources
-    # Create Ray Cluster with local queue specified
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-    config = createClusterConfig()
-    config.name = "unit-test-cluster-ray"
-    config.appwrapper = False
-    config.write_to_file = True
-    config.local_queue = "local-queue-default"
-    config.labels = {"testlabel": "test", "testlabel2": "test"}
-    cluster = Cluster(config)
-    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster-ray.yaml"
-    assert cluster.app_wrapper_name == "unit-test-cluster-ray"
-    assert filecmp.cmp(
-        f"{aw_dir}unit-test-cluster-ray.yaml",
-        f"{parent}/tests/test-case-no-mcad.yamls",
-        shallow=True,
-    )
-    # With resources loaded in memory
-    config = ClusterConfiguration(
-        name="unit-test-cluster-ray",
-        namespace="ns",
-        num_workers=2,
-        worker_cpu_requests=3,
-        worker_cpu_limits=4,
-        worker_memory_requests=5,
-        worker_memory_limits=6,
-        worker_extended_resource_requests={"nvidia.com/gpu": 7},
-        machine_types=["cpu.small", "gpu.large"],
-        image_pull_secrets=["unit-test-pull-secret"],
-        write_to_file=True,
-        appwrapper=False,
-        local_queue="local-queue-default",
-        labels={"testlabel": "test", "testlabel2": "test"},
-    )
-    cluster = Cluster(config)
-    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster-ray.yaml"
-    assert cluster.app_wrapper_name == "unit-test-cluster-ray"
-    assert filecmp.cmp(
-        f"{aw_dir}unit-test-cluster-ray.yaml",
-        f"{parent}/tests/test-case-no-mcad.yamls",
-        shallow=True,
-    )
-
-
-def test_default_cluster_creation(mocker):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
-        return_value="opendatahub",
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-    default_config = ClusterConfiguration(
-        name="unit-test-default-cluster",
-        appwrapper=True,
-    )
-    cluster = Cluster(default_config)
-    test_aw = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader)
-
-    with open(
-        f"{parent}/tests/test-default-appwrapper.yaml",
-    ) as f:
-        default_aw = yaml.load(f, Loader=yaml.FullLoader)
-        assert test_aw == default_aw
-
-    assert cluster.app_wrapper_name == "unit-test-default-cluster"
-    assert cluster.config.namespace == "opendatahub"
-
-
-@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"})
-def test_cluster_creation_with_custom_image(mocker):
-    # With written resources
-    # Create Ray Cluster with local queue specified
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-    config = createClusterConfig()
-    config.name = "unit-test-cluster-custom-image"
-    config.appwrapper = False
-    config.image = "quay.io/project-codeflare/ray:2.20.0-py39-cu118"
-    config.local_queue = "local-queue-default"
-    config.labels = {"testlabel": "test", "testlabel2": "test"}
-    cluster = Cluster(config)
-    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster-custom-image.yaml"
-    assert cluster.app_wrapper_name == "unit-test-cluster-custom-image"
-    assert filecmp.cmp(
-        f"{aw_dir}unit-test-cluster-custom-image.yaml",
-        f"{parent}/tests/test-case-custom-image.yaml",
-        shallow=True,
-    )
-    # With resources loaded in memory
-    config = ClusterConfiguration(
-        name="unit-test-cluster-custom-image",
-        namespace="ns",
-        num_workers=2,
-        worker_cpu_requests=3,
-        worker_cpu_limits=4,
-        worker_memory_requests=5,
-        worker_memory_limits=6,
-        worker_extended_resource_requests={"nvidia.com/gpu": 7},
-        machine_types=["cpu.small", "gpu.large"],
-        image_pull_secrets=["unit-test-pull-secret"],
-        image="quay.io/project-codeflare/ray:2.20.0-py39-cu118",
-        write_to_file=True,
-        appwrapper=False,
-        local_queue="local-queue-default",
-        labels={"testlabel": "test", "testlabel2": "test"},
-    )
-    cluster = Cluster(config)
-    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster-custom-image.yaml"
-    assert cluster.app_wrapper_name == "unit-test-cluster-custom-image"
-    assert filecmp.cmp(
-        f"{aw_dir}unit-test-cluster-custom-image.yaml",
-        f"{parent}/tests/test-case-custom-image.yaml",
-        shallow=True,
-    )
-
-
-def test_gen_names_with_name(mocker):
-    mocker.patch.object(
-        uuid, "uuid4", return_value=uuid.UUID("00000000-0000-0000-0000-000000000001")
-    )
-    name = "myname"
-    appwrapper_name, cluster_name = gen_names(name)
-    assert appwrapper_name == name
-    assert cluster_name == name
-
-
-def test_gen_names_without_name(mocker):
-    mocker.patch.object(
-        uuid, "uuid4", return_value=uuid.UUID("00000000-0000-0000-0000-000000000001")
-    )
-    appwrapper_name, cluster_name = gen_names(None)
-    assert appwrapper_name.startswith("appwrapper-")
-    assert cluster_name.startswith("cluster-")
-
-
-def arg_check_apply_effect(group, version, namespace, plural, body, *args):
-    assert namespace == "ns"
-    assert args == tuple()
-    if plural == "appwrappers":
-        assert group == "workload.codeflare.dev"
-        assert version == "v1beta2"
-        with open(f"{aw_dir}unit-test-cluster.yaml") as f:
-            aw = yaml.load(f, Loader=yaml.FullLoader)
-        assert body == aw
-    elif plural == "rayclusters":
-        assert group == "ray.io"
-        assert version == "v1"
-        with open(f"{aw_dir}unit-test-cluster-ray.yaml") as f:
-            yamls = yaml.load_all(f, Loader=yaml.FullLoader)
-            for resource in yamls:
-                if resource["kind"] == "RayCluster":
-                    assert body == resource
-    elif plural == "ingresses":
-        assert group == "networking.k8s.io"
-        assert version == "v1"
-        with open(f"{aw_dir}unit-test-cluster-ray.yaml") as f:
-            yamls = yaml.load_all(f, Loader=yaml.FullLoader)
-            for resource in yamls:
-                if resource["kind"] == "Ingress":
-                    assert body == resource
-    elif plural == "routes":
-        assert group == "route.openshift.io"
-        assert version == "v1"
-        with open(f"{aw_dir}unit-test-cluster-ray.yaml") as f:
-            yamls = yaml.load_all(f, Loader=yaml.FullLoader)
-            for resource in yamls:
-                if resource["kind"] == "Ingress":
-                    assert body == resource
-    else:
-        assert 1 == 0
-
-
-def arg_check_del_effect(group, version, namespace, plural, name, *args):
-    assert namespace == "ns"
-    assert args == tuple()
-    if plural == "appwrappers":
-        assert group == "workload.codeflare.dev"
-        assert version == "v1beta2"
-        assert name == "unit-test-cluster"
-    elif plural == "rayclusters":
-        assert group == "ray.io"
-        assert version == "v1"
-        assert name == "unit-test-cluster-ray"
-    elif plural == "ingresses":
-        assert group == "networking.k8s.io"
-        assert version == "v1"
-        assert name == "ray-dashboard-unit-test-cluster-ray"
-
-
-def test_cluster_up_down(mocker):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        return_value={"spec": {"domain": ""}},
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.create_namespaced_custom_object",
-        side_effect=arg_check_apply_effect,
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object",
-        side_effect=arg_check_del_effect,
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_cluster_custom_object",
-        return_value={"items": []},
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-    cluster = cluster = createClusterWithConfig(mocker)
-    cluster.up()
-    cluster.down()
-
-
-def test_cluster_up_down_no_mcad(mocker):
-    mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.create_namespaced_custom_object",
-        side_effect=arg_check_apply_effect,
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object",
-        side_effect=arg_check_del_effect,
-    )
-    mocker.patch(
-        "kubernetes.client.CoreV1Api.create_namespaced_secret",
-    )
-    mocker.patch(
-        "kubernetes.client.CoreV1Api.delete_namespaced_secret",
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_cluster_custom_object",
-        return_value={"items": []},
-    )
-    config = createClusterConfig()
-    config.name = "unit-test-cluster-ray"
-    config.appwrapper = False
-    cluster = Cluster(config)
-    cluster.up()
-    cluster.down()
-
-
-def arg_check_list_effect(group, version, plural, name, *args):
-    assert group == "config.openshift.io"
-    assert version == "v1"
-    assert plural == "ingresses"
-    assert name == "cluster"
-    assert args == tuple()
-    return {"spec": {"domain": "test"}}
-
-
-""" We need to fix get_current_namespace in order to reuse this test.
-def test_get_ingress_domain(mocker):
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        side_effect=arg_check_list_effect,
-    )
-    domain = _get_ingress_domain()
-    assert domain == "test"
-"""
-
-
-def aw_status_fields(group, version, namespace, plural, *args):
-    assert group == "workload.codeflare.dev"
-    assert version == "v1beta2"
-    assert namespace == "test-ns"
-    assert plural == "appwrappers"
-    assert args == tuple()
-    return {"items": []}
-
-
-def test_aw_status(mocker):
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=aw_status_fields,
-    )
-    aw = _app_wrapper_status("test-aw", "test-ns")
-    assert aw == None
-
-
-def rc_status_fields(group, version, namespace, plural, *args):
-    assert group == "ray.io"
-    assert version == "v1"
-    assert namespace == "test-ns"
-    assert plural == "rayclusters"
-    assert args == tuple()
-    return {"items": []}
-
-
-def test_rc_status(mocker):
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=rc_status_fields,
-    )
-    rc = _ray_cluster_status("test-rc", "test-ns")
-    assert rc == None
-
-
-def test_cluster_uris(mocker):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster._get_ingress_domain",
-        return_value="apps.cluster.awsroute.org",
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-    cluster = cluster = createClusterWithConfig(mocker)
-    mocker.patch(
-        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
-        return_value=ingress_retrieval(
-            cluster_name="unit-test-cluster",
-            annotations={"route.openshift.io/termination": "passthrough"},
-        ),
-    )
-    assert (
-        cluster.cluster_dashboard_uri()
-        == "https://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
-    )
-    mocker.patch(
-        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
-        return_value=ingress_retrieval(),
-    )
-    assert cluster.cluster_uri() == "ray://unit-test-cluster-head-svc.ns.svc:10001"
-    assert (
-        cluster.cluster_dashboard_uri()
-        == "http://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
-    )
-    cluster.config.name = "fake"
-    mocker.patch(
-        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
-    )
-    assert (
-        cluster.cluster_dashboard_uri()
-        == "Dashboard not available yet, have you run cluster.up()?"
-    )
-
-
-def test_local_client_url(mocker):
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        return_value={"spec": {"domain": ""}},
-    )
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster._get_ingress_domain",
-        return_value="rayclient-unit-test-cluster-localinter-ns.apps.cluster.awsroute.org",
-    )
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.Cluster.create_app_wrapper",
-        return_value="unit-test-cluster-localinter.yaml",
-    )
-
-    cluster_config = ClusterConfiguration(
-        name="unit-test-cluster-localinter",
-        namespace="ns",
-        write_to_file=True,
-    )
-    cluster = Cluster(cluster_config)
-    assert (
-        cluster.local_client_url()
-        == "ray://rayclient-unit-test-cluster-localinter-ns.apps.cluster.awsroute.org"
-    )
-
-
-def ray_addr(self, *args):
-    return self._address
-
-
-def mocked_ingress(port, cluster_name="unit-test-cluster", annotations: dict = None):
-    labels = {"ingress-owner": cluster_name}
-    if port == 10001:
-        name = f"rayclient-{cluster_name}"
-    else:
-        name = f"ray-dashboard-{cluster_name}"
-    mock_ingress = client.V1Ingress(
-        metadata=client.V1ObjectMeta(
-            name=name,
-            annotations=annotations,
-            labels=labels,
-            owner_references=[
-                client.V1OwnerReference(
-                    api_version="v1", kind="Ingress", name=cluster_name, uid="unique-id"
-                )
-            ],
-        ),
-        spec=client.V1IngressSpec(
-            rules=[
-                client.V1IngressRule(
-                    host=f"{name}-ns.apps.cluster.awsroute.org",
-                    http=client.V1HTTPIngressRuleValue(
-                        paths=[
-                            client.V1HTTPIngressPath(
-                                path_type="Prefix",
-                                path="/",
-                                backend=client.V1IngressBackend(
-                                    service=client.V1IngressServiceBackend(
-                                        name="head-svc-test",
-                                        port=client.V1ServiceBackendPort(number=port),
-                                    )
-                                ),
-                            )
-                        ]
-                    ),
-                )
-            ],
-        ),
-    )
-    return mock_ingress
-
-
-def ingress_retrieval(
-    cluster_name="unit-test-cluster", client_ing: bool = False, annotations: dict = None
-):
-    dashboard_ingress = mocked_ingress(8265, cluster_name, annotations)
-    if client_ing:
-        client_ingress = mocked_ingress(
-            10001, cluster_name=cluster_name, annotations=annotations
-        )
-        mock_ingress_list = client.V1IngressList(
-            items=[client_ingress, dashboard_ingress]
-        )
-    else:
-        mock_ingress_list = client.V1IngressList(items=[dashboard_ingress])
-
-    return mock_ingress_list
-
-
-def test_ray_job_wrapping(mocker):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-    cluster = cluster = createClusterWithConfig(mocker)
-    mocker.patch(
-        "ray.job_submission.JobSubmissionClient._check_connection_and_version_with_url",
-        return_value="None",
-    )
-    mock_res = mocker.patch.object(
-        ray.job_submission.JobSubmissionClient, "list_jobs", autospec=True
-    )
-    mock_res.side_effect = ray_addr
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        return_value={"spec": {"domain": ""}},
-    )
-    mocker.patch(
-        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
-        return_value=ingress_retrieval(),
-    )
-    assert cluster.list_jobs() == cluster.cluster_dashboard_uri()
-
-    mock_res = mocker.patch.object(
-        ray.job_submission.JobSubmissionClient, "get_job_status", autospec=True
-    )
-    mock_res.side_effect = ray_addr
-    assert cluster.job_status("fake_id") == cluster.cluster_dashboard_uri()
-
-    mock_res = mocker.patch.object(
-        ray.job_submission.JobSubmissionClient, "get_job_logs", autospec=True
-    )
-    mock_res.side_effect = ray_addr
-    assert cluster.job_logs("fake_id") == cluster.cluster_dashboard_uri()
-
-
-def test_print_no_resources(capsys):
-    try:
-        print_no_resources_found()
-    except Exception:
-        assert 1 == 0
-    captured = capsys.readouterr()
-    assert captured.out == (
-        "╭──────────────────────────────────────────────────────────────────────────────╮\n"
-        "│ No resources found, have you run cluster.up() yet?                           │\n"
-        "╰──────────────────────────────────────────────────────────────────────────────╯\n"
-    )
-
-
-def test_print_no_cluster(capsys):
-    try:
-        print_cluster_status(None)
-    except Exception:
-        assert 1 == 0
-    captured = capsys.readouterr()
-    assert captured.out == (
-        "╭──────────────────────────────────────────────────────────────────────────────╮\n"
-        "│ No resources found, have you run cluster.up() yet?                           │\n"
-        "╰──────────────────────────────────────────────────────────────────────────────╯\n"
-    )
-
-
-def test_print_appwrappers(capsys):
-    aw1 = AppWrapper(
-        name="awtest1",
-        status=AppWrapperStatus.SUSPENDED,
-    )
-    aw2 = AppWrapper(
-        name="awtest2",
-        status=AppWrapperStatus.RUNNING,
-    )
-    try:
-        print_app_wrappers_status([aw1, aw2])
-    except Exception:
-        assert 1 == 0
-    captured = capsys.readouterr()
-    assert captured.out == (
-        "╭─────────────────────────╮\n"
-        "│     🚀 Cluster Queue    │\n"
-        "│        Status 🚀        │\n"
-        "│ +---------+-----------+ │\n"
-        "│ | Name    | Status    | │\n"
-        "│ +=========+===========+ │\n"
-        "│ | awtest1 | suspended | │\n"
-        "│ |         |           | │\n"
-        "│ | awtest2 | running   | │\n"
-        "│ |         |           | │\n"
-        "│ +---------+-----------+ │\n"
-        "╰─────────────────────────╯\n"
-    )
-
-
-def test_ray_details(mocker, capsys):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    ray1 = RayCluster(
-        name="raytest1",
-        status=RayClusterStatus.READY,
-        num_workers=1,
-        worker_mem_requests="2G",
-        worker_mem_limits="2G",
-        worker_cpu_requests=1,
-        worker_cpu_limits=1,
-        namespace="ns",
-        dashboard="fake-uri",
-        head_cpu_requests=2,
-        head_cpu_limits=2,
-        head_mem_requests=8,
-        head_mem_limits=8,
-    )
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.Cluster.status",
-        return_value=(False, CodeFlareClusterStatus.UNKNOWN),
-    )
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.Cluster.cluster_dashboard_uri",
-        return_value="",
-    )
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
-    cf = Cluster(
-        ClusterConfiguration(
-            name="raytest2",
-            namespace="ns",
-            write_to_file=True,
-            appwrapper=True,
-            local_queue="local_default_queue",
-        )
-    )
-    captured = capsys.readouterr()
-    ray2 = _copy_to_ray(cf)
-    details = cf.details()
-    assert details == ray2
-    assert ray2.name == "raytest2"
-    assert ray1.namespace == ray2.namespace
-    assert ray1.num_workers == ray2.num_workers
-    assert ray1.worker_mem_requests == ray2.worker_mem_requests
-    assert ray1.worker_mem_limits == ray2.worker_mem_limits
-    assert ray1.worker_cpu_requests == ray2.worker_cpu_requests
-    assert ray1.worker_cpu_limits == ray2.worker_cpu_limits
-    assert ray1.worker_extended_resources == ray2.worker_extended_resources
-    try:
-        print_clusters([ray1, ray2])
-        print_cluster_status(ray1)
-        print_cluster_status(ray2)
-    except Exception:
-        assert 0 == 1
-    captured = capsys.readouterr()
-    assert captured.out == (
-        "                  🚀 CodeFlare Cluster Details 🚀                  \n"
-        "                                                                   \n"
-        " ╭───────────────────────────────────────────────────────────────╮ \n"
-        " │   Name                                                        │ \n"
-        " │   raytest2                                   Inactive ❌      │ \n"
-        " │                                                               │ \n"
-        " │   URI: ray://raytest2-head-svc.ns.svc:10001                   │ \n"
-        " │                                                               │ \n"
-        " │   Dashboard🔗                                                 │ \n"
-        " │                                                               │ \n"
-        " │                       Cluster Resources                       │ \n"
-        " │   ╭── Workers ──╮  ╭───────── Worker specs(each) ─────────╮   │ \n"
-        " │   │  # Workers  │  │  Memory      CPU         GPU         │   │ \n"
-        " │   │             │  │                                      │   │ \n"
-        " │   │  1          │  │  2G~2G       1~1         0           │   │ \n"
-        " │   │             │  │                                      │   │ \n"
-        " │   ╰─────────────╯  ╰──────────────────────────────────────╯   │ \n"
-        " ╰───────────────────────────────────────────────────────────────╯ \n"
-        "                  🚀 CodeFlare Cluster Details 🚀                  \n"
-        "                                                                   \n"
-        " ╭───────────────────────────────────────────────────────────────╮ \n"
-        " │   Name                                                        │ \n"
-        " │   raytest1                                   Active ✅        │ \n"
-        " │                                                               │ \n"
-        " │   URI: ray://raytest1-head-svc.ns.svc:10001                   │ \n"
-        " │                                                               │ \n"
-        " │   Dashboard🔗                                                 │ \n"
-        " │                                                               │ \n"
-        " │                       Cluster Resources                       │ \n"
-        " │   ╭── Workers ──╮  ╭───────── Worker specs(each) ─────────╮   │ \n"
-        " │   │  # Workers  │  │  Memory      CPU         GPU         │   │ \n"
-        " │   │             │  │                                      │   │ \n"
-        " │   │  1          │  │  2G~2G       1~1         0           │   │ \n"
-        " │   │             │  │                                      │   │ \n"
-        " │   ╰─────────────╯  ╰──────────────────────────────────────╯   │ \n"
-        " ╰───────────────────────────────────────────────────────────────╯ \n"
-        "╭───────────────────────────────────────────────────────────────╮\n"
-        "│   Name                                                        │\n"
-        "│   raytest2                                   Inactive ❌      │\n"
-        "│                                                               │\n"
-        "│   URI: ray://raytest2-head-svc.ns.svc:10001                   │\n"
-        "│                                                               │\n"
-        "│   Dashboard🔗                                                 │\n"
-        "│                                                               │\n"
-        "│                       Cluster Resources                       │\n"
-        "│   ╭── Workers ──╮  ╭───────── Worker specs(each) ─────────╮   │\n"
-        "│   │  # Workers  │  │  Memory      CPU         GPU         │   │\n"
-        "│   │             │  │                                      │   │\n"
-        "│   │  1          │  │  2G~2G       1~1         0           │   │\n"
-        "│   │             │  │                                      │   │\n"
-        "│   ╰─────────────╯  ╰──────────────────────────────────────╯   │\n"
-        "╰───────────────────────────────────────────────────────────────╯\n"
-        "                🚀 CodeFlare Cluster Status 🚀                \n"
-        "                                                              \n"
-        " ╭──────────────────────────────────────────────────────────╮ \n"
-        " │   Name                                                   │ \n"
-        " │   raytest1                                   Active ✅   │ \n"
-        " │                                                          │ \n"
-        " │   URI: ray://raytest1-head-svc.ns.svc:10001              │ \n"
-        " │                                                          │ \n"
-        " │   Dashboard🔗                                            │ \n"
-        " │                                                          │ \n"
-        " ╰──────────────────────────────────────────────────────────╯ \n"
-        "                 🚀 CodeFlare Cluster Status 🚀                 \n"
-        "                                                                \n"
-        " ╭────────────────────────────────────────────────────────────╮ \n"
-        " │   Name                                                     │ \n"
-        " │   raytest2                                   Inactive ❌   │ \n"
-        " │                                                            │ \n"
-        " │   URI: ray://raytest2-head-svc.ns.svc:10001                │ \n"
-        " │                                                            │ \n"
-        " │   Dashboard🔗                                              │ \n"
-        " │                                                            │ \n"
-        " ╰────────────────────────────────────────────────────────────╯ \n"
-    )
-
-
-def act_side_effect_list(self):
-    print([self])
-    self.out = str(self.high_level_operation)
-    return [self]
-
-
-def get_obj_none(group, version, namespace, plural):
-    return {"items": []}
-
-
-def get_ray_obj(group, version, namespace, plural, cls=None):
-    api_obj = {
-        "items": [
-            {
-                "apiVersion": "ray.io/v1",
-                "kind": "RayCluster",
-                "metadata": {
-                    "creationTimestamp": "2024-03-05T09:55:37Z",
-                    "generation": 1,
-                    "labels": {
-                        "controller-tools.k8s.io": "1.0",
-                        "resourceName": "quicktest",
-                        "orderedinstance": "m4.xlarge_g4dn.xlarge",
-                        "kueue.x-k8s.io/queue-name": "team-a-queue",
-                    },
-                    "name": "quicktest",
-                    "namespace": "ns",
-                    "ownerReferences": [
-                        {
-                            "apiVersion": "workload.codeflare.dev/v1beta2",
-                            "blockOwnerDeletion": True,
-                            "controller": True,
-                            "kind": "AppWrapper",
-                            "name": "quicktest",
-                            "uid": "a29b1a7a-0992-4860-a8d5-a689a751a3e8",
-                        }
-                    ],
-                    "resourceVersion": "5305674",
-                    "uid": "820d065d-bf0c-4675-b951-d32ea496020e",
-                },
-                "spec": {
-                    "autoscalerOptions": {
-                        "idleTimeoutSeconds": 60,
-                        "imagePullPolicy": "Always",
-                        "resources": {
-                            "limits": {"cpu": "500m", "memory": "512Mi"},
-                            "requests": {"cpu": "500m", "memory": "512Mi"},
-                        },
-                        "upscalingMode": "Default",
-                    },
-                    "enableInTreeAutoscaling": False,
-                    "headGroupSpec": {
-                        "rayStartParams": {
-                            "block": "true",
-                            "dashboard-host": "0.0.0.0",
-                            "num-gpus": "0",
-                        },
-                        "serviceType": "ClusterIP",
-                        "template": {
-                            "metadata": {},
-                            "spec": {
-                                "containers": [
-                                    {
-                                        "env": [
-                                            {
-                                                "name": "MY_POD_IP",
-                                                "valueFrom": {
-                                                    "fieldRef": {
-                                                        "fieldPath": "status.podIP"
-                                                    }
-                                                },
-                                            },
-                                            {"name": "RAY_USE_TLS", "value": "0"},
-                                            {
-                                                "name": "RAY_TLS_SERVER_CERT",
-                                                "value": "/home/ray/workspace/tls/server.crt",
-                                            },
-                                            {
-                                                "name": "RAY_TLS_SERVER_KEY",
-                                                "value": "/home/ray/workspace/tls/server.key",
-                                            },
-                                            {
-                                                "name": "RAY_TLS_CA_CERT",
-                                                "value": "/home/ray/workspace/tls/ca.crt",
-                                            },
-                                        ],
-                                        "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103",
-                                        "imagePullPolicy": "Always",
-                                        "lifecycle": {
-                                            "preStop": {
-                                                "exec": {
-                                                    "command": [
-                                                        "/bin/sh",
-                                                        "-c",
-                                                        "ray stop",
-                                                    ]
-                                                }
-                                            }
-                                        },
-                                        "name": "ray-head",
-                                        "ports": [
-                                            {
-                                                "containerPort": 6379,
-                                                "name": "gcs",
-                                                "protocol": "TCP",
-                                            },
-                                            {
-                                                "containerPort": 8265,
-                                                "name": "dashboard",
-                                                "protocol": "TCP",
-                                            },
-                                            {
-                                                "containerPort": 10001,
-                                                "name": "client",
-                                                "protocol": "TCP",
-                                            },
-                                        ],
-                                        "resources": {
-                                            "limits": {
-                                                "cpu": 2,
-                                                "memory": "8G",
-                                            },
-                                            "requests": {
-                                                "cpu": 2,
-                                                "memory": "8G",
-                                            },
-                                        },
-                                        "volumeMounts": [
-                                            {
-                                                "mountPath": "/etc/pki/tls/certs/odh-trusted-ca-bundle.crt",
-                                                "name": "odh-trusted-ca-cert",
-                                                "subPath": "odh-trusted-ca-bundle.crt",
-                                            },
-                                            {
-                                                "mountPath": "/etc/ssl/certs/odh-trusted-ca-bundle.crt",
-                                                "name": "odh-trusted-ca-cert",
-                                                "subPath": "odh-trusted-ca-bundle.crt",
-                                            },
-                                            {
-                                                "mountPath": "/etc/pki/tls/certs/odh-ca-bundle.crt",
-                                                "name": "odh-ca-cert",
-                                                "subPath": "odh-ca-bundle.crt",
-                                            },
-                                            {
-                                                "mountPath": "/etc/ssl/certs/odh-ca-bundle.crt",
-                                                "name": "odh-ca-cert",
-                                                "subPath": "odh-ca-bundle.crt",
-                                            },
-                                        ],
-                                    }
-                                ],
-                                "volumes": [
-                                    {
-                                        "configMap": {
-                                            "items": [
-                                                {
-                                                    "key": "ca-bundle.crt",
-                                                    "path": "odh-trusted-ca-bundle.crt",
-                                                }
-                                            ],
-                                            "name": "odh-trusted-ca-bundle",
-                                            "optional": True,
-                                        },
-                                        "name": "odh-trusted-ca-cert",
-                                    },
-                                    {
-                                        "configMap": {
-                                            "items": [
-                                                {
-                                                    "key": "odh-ca-bundle.crt",
-                                                    "path": "odh-ca-bundle.crt",
-                                                }
-                                            ],
-                                            "name": "odh-trusted-ca-bundle",
-                                            "optional": True,
-                                        },
-                                        "name": "odh-ca-cert",
-                                    },
-                                ],
-                            },
-                        },
-                    },
-                    "rayVersion": "2.35.0",
-                    "workerGroupSpecs": [
-                        {
-                            "groupName": "small-group-quicktest",
-                            "maxReplicas": 1,
-                            "minReplicas": 1,
-                            "rayStartParams": {
-                                "block": "true",
-                                "num-gpus": "0",
-                            },
-                            "replicas": 1,
-                            "scaleStrategy": {},
-                            "template": {
-                                "metadata": {
-                                    "annotations": {"key": "value"},
-                                    "labels": {"key": "value"},
-                                },
-                                "spec": {
-                                    "containers": [
-                                        {
-                                            "env": [
-                                                {
-                                                    "name": "MY_POD_IP",
-                                                    "valueFrom": {
-                                                        "fieldRef": {
-                                                            "fieldPath": "status.podIP"
-                                                        }
-                                                    },
-                                                },
-                                                {"name": "RAY_USE_TLS", "value": "0"},
-                                                {
-                                                    "name": "RAY_TLS_SERVER_CERT",
-                                                    "value": "/home/ray/workspace/tls/server.crt",
-                                                },
-                                                {
-                                                    "name": "RAY_TLS_SERVER_KEY",
-                                                    "value": "/home/ray/workspace/tls/server.key",
-                                                },
-                                                {
-                                                    "name": "RAY_TLS_CA_CERT",
-                                                    "value": "/home/ray/workspace/tls/ca.crt",
-                                                },
-                                            ],
-                                            "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103",
-                                            "lifecycle": {
-                                                "preStop": {
-                                                    "exec": {
-                                                        "command": [
-                                                            "/bin/sh",
-                                                            "-c",
-                                                            "ray stop",
-                                                        ]
-                                                    }
-                                                }
-                                            },
-                                            "name": "machine-learning",
-                                            "resources": {
-                                                "limits": {
-                                                    "cpu": 1,
-                                                    "memory": "2G",
-                                                },
-                                                "requests": {
-                                                    "cpu": 1,
-                                                    "memory": "2G",
-                                                },
-                                            },
-                                            "volumeMounts": [
-                                                {
-                                                    "mountPath": "/etc/pki/tls/certs/odh-trusted-ca-bundle.crt",
-                                                    "name": "odh-trusted-ca-cert",
-                                                    "subPath": "odh-trusted-ca-bundle.crt",
-                                                },
-                                                {
-                                                    "mountPath": "/etc/ssl/certs/odh-trusted-ca-bundle.crt",
-                                                    "name": "odh-trusted-ca-cert",
-                                                    "subPath": "odh-trusted-ca-bundle.crt",
-                                                },
-                                                {
-                                                    "mountPath": "/etc/pki/tls/certs/odh-ca-bundle.crt",
-                                                    "name": "odh-ca-cert",
-                                                    "subPath": "odh-ca-bundle.crt",
-                                                },
-                                                {
-                                                    "mountPath": "/etc/ssl/certs/odh-ca-bundle.crt",
-                                                    "name": "odh-ca-cert",
-                                                    "subPath": "odh-ca-bundle.crt",
-                                                },
-                                            ],
-                                        }
-                                    ],
-                                    "volumes": [
-                                        {
-                                            "configMap": {
-                                                "items": [
-                                                    {
-                                                        "key": "ca-bundle.crt",
-                                                        "path": "odh-trusted-ca-bundle.crt",
-                                                    }
-                                                ],
-                                                "name": "odh-trusted-ca-bundle",
-                                                "optional": True,
-                                            },
-                                            "name": "odh-trusted-ca-cert",
-                                        },
-                                        {
-                                            "configMap": {
-                                                "items": [
-                                                    {
-                                                        "key": "odh-ca-bundle.crt",
-                                                        "path": "odh-ca-bundle.crt",
-                                                    }
-                                                ],
-                                                "name": "odh-trusted-ca-bundle",
-                                                "optional": True,
-                                            },
-                                            "name": "odh-ca-cert",
-                                        },
-                                    ],
-                                },
-                            },
-                        }
-                    ],
-                },
-                "status": {
-                    "desiredWorkerReplicas": 1,
-                    "endpoints": {
-                        "client": "10001",
-                        "dashboard": "8265",
-                        "gcs": "6379",
-                        "metrics": "8080",
-                    },
-                    "head": {"serviceIP": "172.30.179.88"},
-                    "lastUpdateTime": "2024-03-05T09:55:37Z",
-                    "maxWorkerReplicas": 1,
-                    "minWorkerReplicas": 1,
-                    "observedGeneration": 1,
-                    "state": "ready",
-                },
-            },
-            {
-                "apiVersion": "ray.io/v1",
-                "kind": "RayCluster",
-                "metadata": {
-                    "creationTimestamp": "2023-02-22T16:26:07Z",
-                    "generation": 1,
-                    "labels": {
-                        "controller-tools.k8s.io": "1.0",
-                        "resourceName": "quicktest2",
-                        "orderedinstance": "m4.xlarge_g4dn.xlarge",
-                    },
-                    "name": "quicktest2",
-                    "namespace": "ns",
-                    "ownerReferences": [
-                        {
-                            "apiVersion": "workload.codeflare.dev/v1beta2",
-                            "blockOwnerDeletion": True,
-                            "controller": True,
-                            "kind": "AppWrapper",
-                            "name": "quicktest2",
-                            "uid": "6334fc1b-471e-4876-8e7b-0b2277679235",
-                        }
-                    ],
-                    "resourceVersion": "9482407",
-                    "uid": "44d45d1f-26c8-43e7-841f-831dbd8c1285",
-                },
-                "spec": {
-                    "autoscalerOptions": {
-                        "idleTimeoutSeconds": 60,
-                        "imagePullPolicy": "Always",
-                        "resources": {
-                            "limits": {"cpu": "500m", "memory": "512Mi"},
-                            "requests": {"cpu": "500m", "memory": "512Mi"},
-                        },
-                        "upscalingMode": "Default",
-                    },
-                    "enableInTreeAutoscaling": False,
-                    "headGroupSpec": {
-                        "rayStartParams": {
-                            "block": "true",
-                            "dashboard-host": "0.0.0.0",
-                            "num-gpus": "0",
-                        },
-                        "serviceType": "ClusterIP",
-                        "template": {
-                            "spec": {
-                                "containers": [
-                                    {
-                                        "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103",
-                                        "imagePullPolicy": "Always",
-                                        "lifecycle": {
-                                            "preStop": {
-                                                "exec": {
-                                                    "command": [
-                                                        "/bin/sh",
-                                                        "-c",
-                                                        "ray stop",
-                                                    ]
-                                                }
-                                            }
-                                        },
-                                        "name": "ray-head",
-                                        "ports": [
-                                            {
-                                                "containerPort": 6379,
-                                                "name": "gcs",
-                                                "protocol": "TCP",
-                                            },
-                                            {
-                                                "containerPort": 8265,
-                                                "name": "dashboard",
-                                                "protocol": "TCP",
-                                            },
-                                            {
-                                                "containerPort": 10001,
-                                                "name": "client",
-                                                "protocol": "TCP",
-                                            },
-                                        ],
-                                        "resources": {
-                                            "limits": {
-                                                "cpu": 2,
-                                                "memory": "8G",
-                                            },
-                                            "requests": {
-                                                "cpu": 2,
-                                                "memory": "8G",
-                                            },
-                                        },
-                                    }
-                                ]
-                            }
-                        },
-                    },
-                    "rayVersion": "2.35.0",
-                    "workerGroupSpecs": [
-                        {
-                            "groupName": "small-group-quicktest2",
-                            "maxReplicas": 1,
-                            "minReplicas": 1,
-                            "rayStartParams": {
-                                "block": "true",
-                                "num-gpus": "0",
-                            },
-                            "replicas": 1,
-                            "template": {
-                                "metadata": {
-                                    "annotations": {"key": "value"},
-                                    "labels": {"key": "value"},
-                                },
-                                "spec": {
-                                    "containers": [
-                                        {
-                                            "env": [
-                                                {
-                                                    "name": "MY_POD_IP",
-                                                    "valueFrom": {
-                                                        "fieldRef": {
-                                                            "fieldPath": "status.podIP"
-                                                        }
-                                                    },
-                                                }
-                                            ],
-                                            "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103",
-                                            "lifecycle": {
-                                                "preStop": {
-                                                    "exec": {
-                                                        "command": [
-                                                            "/bin/sh",
-                                                            "-c",
-                                                            "ray stop",
-                                                        ]
-                                                    }
-                                                }
-                                            },
-                                            "name": "machine-learning",
-                                            "resources": {
-                                                "limits": {
-                                                    "cpu": 1,
-                                                    "memory": "2G",
-                                                },
-                                                "requests": {
-                                                    "cpu": 1,
-                                                    "memory": "2G",
-                                                },
-                                            },
-                                        }
-                                    ],
-                                },
-                            },
-                        }
-                    ],
-                },
-                "status": {
-                    "availableWorkerReplicas": 2,
-                    "desiredWorkerReplicas": 1,
-                    "endpoints": {
-                        "client": "10001",
-                        "dashboard": "8265",
-                        "gcs": "6379",
-                    },
-                    "lastUpdateTime": "2023-02-22T16:26:16Z",
-                    "maxWorkerReplicas": 1,
-                    "minWorkerReplicas": 1,
-                    "state": "suspended",
-                },
-            },
-        ]
-    }
-    return api_obj
-
-
-def get_named_aw(group, version, namespace, plural, name):
-    aws = get_aw_obj("workload.codeflare.dev", "v1beta2", "ns", "appwrappers")
-    return aws["items"][0]
-
-
-def get_aw_obj(group, version, namespace, plural):
-    api_obj1 = {
-        "items": [
-            {
-                "apiVersion": "workload.codeflare.dev/v1beta2",
-                "kind": "AppWrapper",
-                "metadata": {
-                    "name": "quicktest1",
-                    "namespace": "ns",
-                },
-                "spec": {
-                    "components": [
-                        {
-                            "template": {
-                                "apiVersion": "ray.io/v1",
-                                "kind": "RayCluster",
-                                "metadata": {
-                                    "labels": {
-                                        "controller-tools.k8s.io": "1.0",
-                                    },
-                                    "name": "quicktest1",
-                                    "namespace": "ns",
-                                },
-                                "spec": {
-                                    "autoscalerOptions": {
-                                        "idleTimeoutSeconds": 60,
-                                        "imagePullPolicy": "Always",
-                                        "resources": {
-                                            "limits": {
-                                                "cpu": "500m",
-                                                "memory": "512Mi",
-                                            },
-                                            "requests": {
-                                                "cpu": "500m",
-                                                "memory": "512Mi",
-                                            },
-                                        },
-                                        "upscalingMode": "Default",
-                                    },
-                                    "enableInTreeAutoscaling": False,
-                                    "headGroupSpec": {
-                                        "rayStartParams": {
-                                            "block": "true",
-                                            "dashboard-host": "0.0.0.0",
-                                            "num-gpus": "0",
-                                        },
-                                        "serviceType": "ClusterIP",
-                                        "template": {
-                                            "spec": {
-                                                "containers": [
-                                                    {
-                                                        "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103",
-                                                        "imagePullPolicy": "Always",
-                                                        "lifecycle": {
-                                                            "preStop": {
-                                                                "exec": {
-                                                                    "command": [
-                                                                        "/bin/sh",
-                                                                        "-c",
-                                                                        "ray stop",
-                                                                    ]
-                                                                }
-                                                            }
-                                                        },
-                                                        "name": "ray-head",
-                                                        "ports": [
-                                                            {
-                                                                "containerPort": 6379,
-                                                                "name": "gcs",
-                                                            },
-                                                            {
-                                                                "containerPort": 8265,
-                                                                "name": "dashboard",
-                                                            },
-                                                            {
-                                                                "containerPort": 10001,
-                                                                "name": "client",
-                                                            },
-                                                        ],
-                                                        "resources": {
-                                                            "limits": {
-                                                                "cpu": 2,
-                                                                "memory": "8G",
-                                                            },
-                                                            "requests": {
-                                                                "cpu": 2,
-                                                                "memory": "8G",
-                                                            },
-                                                        },
-                                                    }
-                                                ]
-                                            }
-                                        },
-                                    },
-                                    "rayVersion": "1.12.0",
-                                    "workerGroupSpecs": [
-                                        {
-                                            "groupName": "small-group-quicktest",
-                                            "maxReplicas": 1,
-                                            "minReplicas": 1,
-                                            "rayStartParams": {
-                                                "block": "true",
-                                                "num-gpus": "0",
-                                            },
-                                            "replicas": 1,
-                                            "template": {
-                                                "metadata": {
-                                                    "annotations": {"key": "value"},
-                                                    "labels": {"key": "value"},
-                                                },
-                                                "spec": {
-                                                    "containers": [
-                                                        {
-                                                            "env": [
-                                                                {
-                                                                    "name": "MY_POD_IP",
-                                                                    "valueFrom": {
-                                                                        "fieldRef": {
-                                                                            "fieldPath": "status.podIP"
-                                                                        }
-                                                                    },
-                                                                }
-                                                            ],
-                                                            "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103",
-                                                            "lifecycle": {
-                                                                "preStop": {
-                                                                    "exec": {
-                                                                        "command": [
-                                                                            "/bin/sh",
-                                                                            "-c",
-                                                                            "ray stop",
-                                                                        ]
-                                                                    }
-                                                                }
-                                                            },
-                                                            "name": "machine-learning",
-                                                            "resources": {
-                                                                "limits": {
-                                                                    "cpu": 1,
-                                                                    "memory": "2G",
-                                                                },
-                                                                "requests": {
-                                                                    "cpu": 1,
-                                                                    "memory": "2G",
-                                                                },
-                                                            },
-                                                        }
-                                                    ],
-                                                },
-                                            },
-                                        }
-                                    ],
-                                },
-                            },
-                        },
-                        {
-                            "template": {
-                                "apiVersion": "networking.k8s.io/v1",
-                                "kind": "Ingress",
-                                "metadata": {
-                                    "labels": {
-                                        "ingress-owner": "appwrapper-name",
-                                    },
-                                    "name": "ray-dashboard-quicktest",
-                                    "namespace": "default",
-                                },
-                                "spec": {
-                                    "ingressClassName": "nginx",
-                                    "rules": [
-                                        {
-                                            "http": {
-                                                "paths": {
-                                                    "backend": {
-                                                        "service": {
-                                                            "name": "quicktest-head-svc",
-                                                            "port": {"number": 8265},
-                                                        },
-                                                    },
-                                                    "pathType": "Prefix",
-                                                    "path": "/",
-                                                },
-                                            },
-                                            "host": "quicktest.awsroute.com",
-                                        }
-                                    ],
-                                },
-                            },
-                        },
-                    ],
-                },
-                "status": {
-                    "phase": "Running",
-                },
-            },
-            {
-                "apiVersion": "workload.codeflare.dev/v1beta2",
-                "kind": "AppWrapper",
-                "metadata": {
-                    "name": "quicktest2",
-                    "namespace": "ns",
-                },
-                "spec": {
-                    "components": [
-                        {
-                            "template": {
-                                "apiVersion": "ray.io/v1",
-                                "kind": "RayCluster",
-                                "metadata": {
-                                    "labels": {
-                                        "controller-tools.k8s.io": "1.0",
-                                    },
-                                    "name": "quicktest2",
-                                    "namespace": "ns",
-                                },
-                                "spec": {
-                                    "autoscalerOptions": {
-                                        "idleTimeoutSeconds": 60,
-                                        "imagePullPolicy": "Always",
-                                        "resources": {
-                                            "limits": {
-                                                "cpu": "500m",
-                                                "memory": "512Mi",
-                                            },
-                                            "requests": {
-                                                "cpu": "500m",
-                                                "memory": "512Mi",
-                                            },
-                                        },
-                                        "upscalingMode": "Default",
-                                    },
-                                    "enableInTreeAutoscaling": False,
-                                    "headGroupSpec": {
-                                        "rayStartParams": {
-                                            "block": "true",
-                                            "dashboard-host": "0.0.0.0",
-                                            "num-gpus": "0",
-                                        },
-                                        "serviceType": "ClusterIP",
-                                        "template": {
-                                            "spec": {
-                                                "containers": [
-                                                    {
-                                                        "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103",
-                                                        "imagePullPolicy": "Always",
-                                                        "lifecycle": {
-                                                            "preStop": {
-                                                                "exec": {
-                                                                    "command": [
-                                                                        "/bin/sh",
-                                                                        "-c",
-                                                                        "ray stop",
-                                                                    ]
-                                                                }
-                                                            }
-                                                        },
-                                                        "name": "ray-head",
-                                                        "ports": [
-                                                            {
-                                                                "containerPort": 6379,
-                                                                "name": "gcs",
-                                                            },
-                                                            {
-                                                                "containerPort": 8265,
-                                                                "name": "dashboard",
-                                                            },
-                                                            {
-                                                                "containerPort": 10001,
-                                                                "name": "client",
-                                                            },
-                                                        ],
-                                                        "resources": {
-                                                            "limits": {
-                                                                "cpu": 2,
-                                                                "memory": "8G",
-                                                            },
-                                                            "requests": {
-                                                                "cpu": 2,
-                                                                "memory": "8G",
-                                                            },
-                                                        },
-                                                    }
-                                                ]
-                                            }
-                                        },
-                                    },
-                                    "rayVersion": "2.35.0",
-                                    "workerGroupSpecs": [
-                                        {
-                                            "groupName": "small-group-quicktest",
-                                            "maxReplicas": 1,
-                                            "minReplicas": 1,
-                                            "rayStartParams": {
-                                                "block": "true",
-                                                "num-gpus": "0",
-                                            },
-                                            "replicas": 1,
-                                            "template": {
-                                                "metadata": {
-                                                    "annotations": {"key": "value"},
-                                                    "labels": {"key": "value"},
-                                                },
-                                                "spec": {
-                                                    "containers": [
-                                                        {
-                                                            "env": [
-                                                                {
-                                                                    "name": "MY_POD_IP",
-                                                                    "valueFrom": {
-                                                                        "fieldRef": {
-                                                                            "fieldPath": "status.podIP"
-                                                                        }
-                                                                    },
-                                                                }
-                                                            ],
-                                                            "image": "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103",
-                                                            "lifecycle": {
-                                                                "preStop": {
-                                                                    "exec": {
-                                                                        "command": [
-                                                                            "/bin/sh",
-                                                                            "-c",
-                                                                            "ray stop",
-                                                                        ]
-                                                                    }
-                                                                }
-                                                            },
-                                                            "name": "machine-learning",
-                                                            "resources": {
-                                                                "limits": {
-                                                                    "cpu": 1,
-                                                                    "memory": "2G",
-                                                                },
-                                                                "requests": {
-                                                                    "cpu": 1,
-                                                                    "memory": "2G",
-                                                                },
-                                                            },
-                                                        }
-                                                    ],
-                                                },
-                                            },
-                                        }
-                                    ],
-                                },
-                            },
-                        },
-                        {
-                            "template": {
-                                "apiVersion": "route.openshift.io/v1",
-                                "kind": "Route",
-                                "metadata": {
-                                    "labels": {
-                                        "odh-ray-cluster-service": "quicktest-head-svc"
-                                    },
-                                    "name": "ray-dashboard-quicktest",
-                                    "namespace": "default",
-                                },
-                                "spec": {
-                                    "port": {"targetPort": "dashboard"},
-                                    "to": {
-                                        "kind": "Service",
-                                        "name": "quicktest-head-svc",
-                                    },
-                                },
-                            },
-                        },
-                    ],
-                },
-                "status": {
-                    "phase": "Suspended",
-                },
-            },
-        ]
-    }
-    return api_obj1
-
-
-def route_list_retrieval(group, version, namespace, plural):
-    assert group == "route.openshift.io"
-    assert version == "v1"
-    assert namespace == "ns"
-    assert plural == "routes"
-    return {
-        "kind": "RouteList",
-        "apiVersion": "route.openshift.io/v1",
-        "metadata": {"resourceVersion": "6072398"},
-        "items": [
-            {
-                "metadata": {
-                    "name": "ray-dashboard-quicktest",
-                    "namespace": "ns",
-                },
-                "spec": {
-                    "host": "ray-dashboard-quicktest-opendatahub.apps.cluster.awsroute.org",
-                    "to": {
-                        "kind": "Service",
-                        "name": "quicktest-head-svc",
-                        "weight": 100,
-                    },
-                    "port": {"targetPort": "dashboard"},
-                    "tls": {"termination": "edge"},
-                },
-            },
-            {
-                "metadata": {
-                    "name": "rayclient-quicktest",
-                    "namespace": "ns",
-                },
-                "spec": {
-                    "host": "rayclient-quicktest-opendatahub.apps.cluster.awsroute.org",
-                    "to": {
-                        "kind": "Service",
-                        "name": "quicktest-head-svc",
-                        "weight": 100,
-                    },
-                    "port": {"targetPort": "client"},
-                    "tls": {"termination": "passthrough"},
-                },
-            },
-        ],
-    }
-
-
-def test_get_cluster_openshift(mocker):
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    # Mock the client.ApisApi function to return a mock object
-    mock_api = MagicMock()
-    mock_api.get_api_versions.return_value.groups = [
-        MagicMock(versions=[MagicMock(group_version="route.openshift.io/v1")])
-    ]
-    mocker.patch("kubernetes.client.ApisApi", return_value=mock_api)
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
-
-    assert is_openshift_cluster()
-
-    def custom_side_effect(group, version, namespace, plural, **kwargs):
-        if plural == "routes":
-            return route_list_retrieval("route.openshift.io", "v1", "ns", "routes")
-        elif plural == "rayclusters":
-            return get_ray_obj("ray.io", "v1", "ns", "rayclusters")
-        elif plural == "appwrappers":
-            return get_aw_obj("workload.codeflare.dev", "v1beta2", "ns", "appwrappers")
-        elif plural == "localqueues":
-            return get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues")
-
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", get_aw_obj
-    )
-
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=custom_side_effect,
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
-        return_value=get_named_aw,
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
-        side_effect=route_list_retrieval("route.openshift.io", "v1", "ns", "routes")[
-            "items"
-        ],
-    )
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
-
-    cluster = get_cluster("quicktest")
-    cluster_config = cluster.config
-    assert cluster_config.name == "quicktest" and cluster_config.namespace == "ns"
-    assert (
-        "m4.xlarge" in cluster_config.machine_types
-        and "g4dn.xlarge" in cluster_config.machine_types
-    )
-    assert (
-        cluster_config.worker_cpu_requests == 1
-        and cluster_config.worker_cpu_limits == 1
-    )
-    assert (
-        cluster_config.worker_memory_requests == "2G"
-        and cluster_config.worker_memory_limits == "2G"
-    )
-    assert cluster_config.worker_extended_resource_requests == {}
-    assert (
-        cluster_config.image
-        == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103"
-    )
-    assert cluster_config.num_workers == 1
-
-
-def test_get_cluster(mocker):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=get_ray_obj,
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
-        side_effect=get_named_aw,
-    )
-    mocker.patch(
-        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
-        return_value=ingress_retrieval(cluster_name="quicktest", client_ing=True),
-    )
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
-    cluster = get_cluster("quicktest")
-    cluster_config = cluster.config
-    assert cluster_config.name == "quicktest" and cluster_config.namespace == "ns"
-    assert (
-        "m4.xlarge" in cluster_config.machine_types
-        and "g4dn.xlarge" in cluster_config.machine_types
-    )
-    assert (
-        cluster_config.worker_cpu_requests == 1
-        and cluster_config.worker_cpu_limits == 1
-    )
-    assert (
-        cluster_config.worker_memory_requests == "2G"
-        and cluster_config.worker_memory_limits == "2G"
-    )
-    assert cluster_config.worker_extended_resource_requests == {}
-    assert (
-        cluster_config.image
-        == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103"
-    )
-    assert cluster_config.num_workers == 1
-
-
-def test_get_cluster_no_mcad(mocker):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=get_ray_obj,
-    )
-    mocker.patch(
-        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
-        return_value=ingress_retrieval(cluster_name="quicktest", client_ing=True),
-    )
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
-    cluster = get_cluster("quicktest")
-    cluster_config = cluster.config
-    assert cluster_config.name == "quicktest" and cluster_config.namespace == "ns"
-    assert (
-        "m4.xlarge" in cluster_config.machine_types
-        and "g4dn.xlarge" in cluster_config.machine_types
-    )
-    assert (
-        cluster_config.worker_cpu_requests == 1
-        and cluster_config.worker_cpu_limits == 1
-    )
-    assert (
-        cluster_config.worker_memory_requests == "2G"
-        and cluster_config.worker_memory_limits == "2G"
-    )
-    assert cluster_config.worker_extended_resource_requests == {}
-    assert (
-        cluster_config.image
-        == "ghcr.io/foundation-model-stack/base:ray2.1.0-py38-gpu-pytorch1.12.0cu116-20221213-193103"
-    )
-    assert cluster_config.num_workers == 1
-    assert cluster_config.local_queue == "team-a-queue"
-
-
-def route_retrieval(group, version, namespace, plural, name):
-    assert group == "route.openshift.io"
-    assert version == "v1"
-    assert namespace == "ns"
-    assert plural == "routes"
-    assert name == "ray-dashboard-unit-test-cluster"
-    return {
-        "items": [
-            {
-                "metadata": {"name": "ray-dashboard-unit-test-cluster"},
-                "spec": {
-                    "host": "ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
-                },
-            }
-        ]
-    }
-
-
-def test_map_to_ray_cluster(mocker):
-    mocker.patch("kubernetes.config.load_kube_config")
-
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.is_openshift_cluster", return_value=True
-    )
-
-    mock_api_client = mocker.MagicMock(spec=client.ApiClient)
-    mocker.patch(
-        "codeflare_sdk.common.kubernetes_cluster.auth.get_api_client",
-        return_value=mock_api_client,
-    )
-
-    mock_routes = {
-        "items": [
-            {
-                "apiVersion": "route.openshift.io/v1",
-                "kind": "Route",
-                "metadata": {
-                    "name": "ray-dashboard-quicktest",
-                    "namespace": "ns",
-                },
-                "spec": {"host": "ray-dashboard-quicktest"},
-            },
-        ]
-    }
-
-    def custom_side_effect(group, version, namespace, plural, **kwargs):
-        if plural == "routes":
-            return mock_routes
-        elif plural == "rayclusters":
-            return get_ray_obj("ray.io", "v1", "ns", "rayclusters")
-
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=custom_side_effect,
-    )
-
-    rc = get_ray_obj("ray.io", "v1", "ns", "rayclusters")["items"][0]
-    rc_name = rc["metadata"]["name"]
-    rc_dashboard = f"http://ray-dashboard-{rc_name}"
-
-    result = _map_to_ray_cluster(rc)
-
-    assert result is not None
-    assert result.dashboard == rc_dashboard
-
-
-def test_list_clusters(mocker, capsys):
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=get_obj_none,
-    )
-    mocker.patch(
-        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
-    )
-    list_all_clusters("ns")
-    captured = capsys.readouterr()
-    assert captured.out == (
-        "╭──────────────────────────────────────────────────────────────────────────────╮\n"
-        "│ No resources found, have you run cluster.up() yet?                           │\n"
-        "╰──────────────────────────────────────────────────────────────────────────────╯\n"
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=get_ray_obj,
-    )
-    list_all_clusters("ns")
-    captured = capsys.readouterr()
-    assert captured.out == (
-        "                  🚀 CodeFlare Cluster Details 🚀                  \n"
-        "                                                                   \n"
-        " ╭───────────────────────────────────────────────────────────────╮ \n"
-        " │   Name                                                        │ \n"
-        " │   quicktest                                   Active ✅       │ \n"
-        " │                                                               │ \n"
-        " │   URI: ray://quicktest-head-svc.ns.svc:10001                  │ \n"
-        " │                                                               │ \n"
-        " │   Dashboard🔗                                                 │ \n"
-        " │                                                               │ \n"
-        " │                       Cluster Resources                       │ \n"
-        " │   ╭── Workers ──╮  ╭───────── Worker specs(each) ─────────╮   │ \n"
-        " │   │  # Workers  │  │  Memory      CPU         GPU         │   │ \n"
-        " │   │             │  │                                      │   │ \n"
-        " │   │  1          │  │  2G~2G       1~1         0           │   │ \n"
-        " │   │             │  │                                      │   │ \n"
-        " │   ╰─────────────╯  ╰──────────────────────────────────────╯   │ \n"
-        " ╰───────────────────────────────────────────────────────────────╯ \n"
-        "╭───────────────────────────────────────────────────────────────╮\n"
-        "│   Name                                                        │\n"
-        "│   quicktest2                                   Inactive ❌    │\n"
-        "│                                                               │\n"
-        "│   URI: ray://quicktest2-head-svc.ns.svc:10001                 │\n"
-        "│                                                               │\n"
-        "│   Dashboard🔗                                                 │\n"
-        "│                                                               │\n"
-        "│                       Cluster Resources                       │\n"
-        "│   ╭── Workers ──╮  ╭───────── Worker specs(each) ─────────╮   │\n"
-        "│   │  # Workers  │  │  Memory      CPU         GPU         │   │\n"
-        "│   │             │  │                                      │   │\n"
-        "│   │  1          │  │  2G~2G       1~1         0           │   │\n"
-        "│   │             │  │                                      │   │\n"
-        "│   ╰─────────────╯  ╰──────────────────────────────────────╯   │\n"
-        "╰───────────────────────────────────────────────────────────────╯\n"
-    )
-
-
-def test_list_queue(mocker, capsys):
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=get_obj_none,
-    )
-    list_all_queued("ns", appwrapper=True)
-    captured = capsys.readouterr()
-    assert captured.out == (
-        "╭──────────────────────────────────────────────────────────────────────────────╮\n"
-        "│ No resources found, have you run cluster.up() yet?                           │\n"
-        "╰──────────────────────────────────────────────────────────────────────────────╯\n"
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=get_aw_obj,
-    )
-    list_all_queued("ns", appwrapper=True)
-    captured = capsys.readouterr()
-    assert captured.out == (
-        "╭────────────────────────────╮\n"
-        "│   🚀 Cluster Queue Status  │\n"
-        "│             🚀             │\n"
-        "│ +------------+-----------+ │\n"
-        "│ | Name       | Status    | │\n"
-        "│ +============+===========+ │\n"
-        "│ | quicktest1 | running   | │\n"
-        "│ |            |           | │\n"
-        "│ | quicktest2 | suspended | │\n"
-        "│ |            |           | │\n"
-        "│ +------------+-----------+ │\n"
-        "╰────────────────────────────╯\n"
-    )
-
-
-def test_list_queue_rayclusters(mocker, capsys):
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mock_api = MagicMock()
-    mock_api.get_api_versions.return_value.groups = [
-        MagicMock(versions=[MagicMock(group_version="route.openshift.io/v1")])
-    ]
-    mocker.patch("kubernetes.client.ApisApi", return_value=mock_api)
-
-    assert is_openshift_cluster() == True
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=get_obj_none,
-    )
-    list_all_queued("ns")
-    captured = capsys.readouterr()
-    assert captured.out == (
-        "╭──────────────────────────────────────────────────────────────────────────────╮\n"
-        "│ No resources found, have you run cluster.up() yet?                           │\n"
-        "╰──────────────────────────────────────────────────────────────────────────────╯\n"
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=get_ray_obj,
-    )
-    list_all_queued("ns")
-    captured = capsys.readouterr()
-    print(captured.out)
-    assert captured.out == (
-        "╭────────────────────────────╮\n"
-        "│   🚀 Cluster Queue Status  │\n"
-        "│             🚀             │\n"
-        "│ +------------+-----------+ │\n"
-        "│ | Name       | Status    | │\n"
-        "│ +============+===========+ │\n"
-        "│ | quicktest  | ready     | │\n"
-        "│ |            |           | │\n"
-        "│ | quicktest2 | suspended | │\n"
-        "│ |            |           | │\n"
-        "│ +------------+-----------+ │\n"
-        "╰────────────────────────────╯\n"
-    )
-
-
-def test_cluster_status(mocker):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
-    fake_aw = AppWrapper("test", AppWrapperStatus.FAILED)
-    fake_ray = RayCluster(
-        name="test",
-        status=RayClusterStatus.UNKNOWN,
-        num_workers=1,
-        worker_mem_requests=2,
-        worker_mem_limits=2,
-        worker_cpu_requests=1,
-        worker_cpu_limits=1,
-        namespace="ns",
-        dashboard="fake-uri",
-        head_cpu_requests=2,
-        head_cpu_limits=2,
-        head_mem_requests=8,
-        head_mem_limits=8,
-    )
-    cf = Cluster(
-        ClusterConfiguration(
-            name="test",
-            namespace="ns",
-            write_to_file=True,
-            appwrapper=True,
-            local_queue="local_default_queue",
-        )
-    )
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster._app_wrapper_status", return_value=None
-    )
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=None
-    )
-    status, ready = cf.status()
-    assert status == CodeFlareClusterStatus.UNKNOWN
-    assert ready == False
-
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster._app_wrapper_status", return_value=fake_aw
-    )
-    status, ready = cf.status()
-    assert status == CodeFlareClusterStatus.FAILED
-    assert ready == False
-
-    fake_aw.status = AppWrapperStatus.SUSPENDED
-    status, ready = cf.status()
-    assert status == CodeFlareClusterStatus.QUEUED
-    assert ready == False
-
-    fake_aw.status = AppWrapperStatus.RESUMING
-    status, ready = cf.status()
-    assert status == CodeFlareClusterStatus.STARTING
-    assert ready == False
-
-    fake_aw.status = AppWrapperStatus.RESETTING
-    status, ready = cf.status()
-    assert status == CodeFlareClusterStatus.STARTING
-    assert ready == False
-
-    fake_aw.status = AppWrapperStatus.RUNNING
-    status, ready = cf.status()
-    assert status == CodeFlareClusterStatus.UNKNOWN
-    assert ready == False
-
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=fake_ray
-    )
-
-    status, ready = cf.status()
-    assert status == CodeFlareClusterStatus.STARTING
-    assert ready == False
-
-    fake_ray.status = RayClusterStatus.FAILED
-    status, ready = cf.status()
-    assert status == CodeFlareClusterStatus.FAILED
-    assert ready == False
-
-    fake_ray.status = RayClusterStatus.UNHEALTHY
-    status, ready = cf.status()
-    assert status == CodeFlareClusterStatus.FAILED
-    assert ready == False
-
-    fake_ray.status = RayClusterStatus.READY
-    status, ready = cf.status()
-    assert status == CodeFlareClusterStatus.READY
-    assert ready == True
-
-
-def test_wait_ready(mocker, capsys):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
-        return_value=ingress_retrieval(),
-    )
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster._app_wrapper_status", return_value=None
-    )
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=None
-    )
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
-    mocker.patch.object(
-        client.CustomObjectsApi,
-        "list_namespaced_custom_object",
-        return_value={
-            "items": [
-                {
-                    "metadata": {"name": "ray-dashboard-test"},
-                    "spec": {"host": "mocked-host"},
-                }
-            ]
-        },
-    )
-    mock_response = mocker.Mock()
-    mock_response.status_code = 200
-    mocker.patch("requests.get", return_value=mock_response)
-    cf = Cluster(
-        ClusterConfiguration(
-            name="test",
-            namespace="ns",
-            write_to_file=True,
-            appwrapper=True,
-            local_queue="local-queue-default",
-        )
-    )
-    try:
-        cf.wait_ready(timeout=5)
-        assert 1 == 0
-    except Exception as e:
-        assert type(e) == TimeoutError
-
-    captured = capsys.readouterr()
-    assert (
-        "WARNING: Current cluster status is unknown, have you run cluster.up yet?"
-        in captured.out
-    )
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.Cluster.status",
-        return_value=(True, CodeFlareClusterStatus.READY),
-    )
-    cf.wait_ready()
-    captured = capsys.readouterr()
-    assert (
-        captured.out
-        == "Waiting for requested resources to be set up...\nRequested cluster is up and running!\nDashboard is ready!\n"
-    )
-    cf.wait_ready(dashboard_check=False)
-    captured = capsys.readouterr()
-    assert (
-        captured.out
-        == "Waiting for requested resources to be set up...\nRequested cluster is up and running!\n"
-    )
-
-
-def arg_check_side_effect(*args):
-    assert args[0] == "fake-app-handle"
-
-
-def parse_j(cmd):
-    pattern = r"--nnodes\s+\d+\s+--nproc_per_node\s+\d+"
-    match = re.search(pattern, cmd)
-    if match:
-        substring = match.group(0)
-    else:
-        return None
-    args = substring.split()
-    worker = args[1]
-    gpu = args[3]
-    return f"{worker}x{gpu}"
-
-
-def test_AWManager_creation(mocker):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    testaw = AWManager(f"{aw_dir}test.yaml")
-    assert testaw.name == "test"
-    assert testaw.namespace == "ns"
-    assert testaw.submitted == False
-    try:
-        testaw = AWManager("fake")
-    except Exception as e:
-        assert type(e) == FileNotFoundError
-        assert str(e) == "[Errno 2] No such file or directory: 'fake'"
-    try:
-        testaw = AWManager("tests/test-case-bad.yaml")
-    except Exception as e:
-        assert type(e) == ValueError
-        assert (
-            str(e)
-            == "tests/test-case-bad.yaml is not a correctly formatted AppWrapper yaml"
-        )
-
-
-def arg_check_aw_apply_effect(group, version, namespace, plural, body, *args):
-    assert group == "workload.codeflare.dev"
-    assert version == "v1beta2"
-    assert namespace == "ns"
-    assert plural == "appwrappers"
-    with open(f"{aw_dir}test.yaml") as f:
-        aw = yaml.load(f, Loader=yaml.FullLoader)
-    assert body == aw
-    assert args == tuple()
-
-
-def arg_check_aw_del_effect(group, version, namespace, plural, name, *args):
-    assert group == "workload.codeflare.dev"
-    assert version == "v1beta2"
-    assert namespace == "ns"
-    assert plural == "appwrappers"
-    assert name == "test"
-    assert args == tuple()
-
-
-def test_AWManager_submit_remove(mocker, capsys):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    testaw = AWManager(f"{aw_dir}test.yaml")
-    testaw.remove()
-    captured = capsys.readouterr()
-    assert (
-        captured.out
-        == "AppWrapper not submitted by this manager yet, nothing to remove\n"
-    )
-    assert testaw.submitted == False
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.create_namespaced_custom_object",
-        side_effect=arg_check_aw_apply_effect,
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object",
-        side_effect=arg_check_aw_del_effect,
-    )
-    testaw.submit()
-    assert testaw.submitted == True
-    testaw.remove()
-    assert testaw.submitted == False
-
-
-import base64
-
-from cryptography.hazmat.primitives.serialization import (
-    Encoding,
-    PublicFormat,
-    load_pem_private_key,
-)
-from cryptography.x509 import load_pem_x509_certificate
-
-
-def test_generate_ca_cert():
-    """
-    test the function codeflare_sdk.common.utils.generate_ca_cert generates the correct outputs
-    """
-    key, certificate = generate_ca_cert()
-    cert = load_pem_x509_certificate(base64.b64decode(certificate))
-    private_pub_key_bytes = (
-        load_pem_private_key(base64.b64decode(key), password=None)
-        .public_key()
-        .public_bytes(Encoding.PEM, PublicFormat.SubjectPublicKeyInfo)
-    )
-    cert_pub_key_bytes = cert.public_key().public_bytes(
-        Encoding.PEM, PublicFormat.SubjectPublicKeyInfo
-    )
-    assert type(key) == str
-    assert type(certificate) == str
-    # Veirfy ca.cert is self signed
-    assert cert.verify_directly_issued_by(cert) == None
-    # Verify cert has the public key bytes from the private key
-    assert cert_pub_key_bytes == private_pub_key_bytes
-
-
-def secret_ca_retreival(secret_name, namespace):
-    ca_private_key_bytes, ca_cert = generate_ca_cert()
-    data = {"ca.crt": ca_cert, "ca.key": ca_private_key_bytes}
-    assert secret_name == "ca-secret-cluster"
-    assert namespace == "namespace"
-    return client.models.V1Secret(data=data)
-
-
-def test_generate_tls_cert(mocker):
-    """
-    test the function codeflare_sdk.common.utils.generate_ca_cert generates the correct outputs
-    """
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "codeflare_sdk.common.utils.generate_cert.get_secret_name",
-        return_value="ca-secret-cluster",
-    )
-    mocker.patch(
-        "kubernetes.client.CoreV1Api.read_namespaced_secret",
-        side_effect=secret_ca_retreival,
-    )
-
-    generate_tls_cert("cluster", "namespace")
-    assert os.path.exists("tls-cluster-namespace")
-    assert os.path.exists(os.path.join("tls-cluster-namespace", "ca.crt"))
-    assert os.path.exists(os.path.join("tls-cluster-namespace", "tls.crt"))
-    assert os.path.exists(os.path.join("tls-cluster-namespace", "tls.key"))
-
-    # verify the that the signed tls.crt is issued by the ca_cert (root cert)
-    with open(os.path.join("tls-cluster-namespace", "tls.crt"), "r") as f:
-        tls_cert = load_pem_x509_certificate(f.read().encode("utf-8"))
-    with open(os.path.join("tls-cluster-namespace", "ca.crt"), "r") as f:
-        root_cert = load_pem_x509_certificate(f.read().encode("utf-8"))
-    assert tls_cert.verify_directly_issued_by(root_cert) == None
-
-
-def test_export_env():
-    """
-    test the function codeflare_sdk.common.utils.generate_ca_cert.export_ev generates the correct outputs
-    """
-    tls_dir = "cluster"
-    ns = "namespace"
-    export_env(tls_dir, ns)
-    assert os.environ["RAY_USE_TLS"] == "1"
-    assert os.environ["RAY_TLS_SERVER_CERT"] == os.path.join(
-        os.getcwd(), f"tls-{tls_dir}-{ns}", "tls.crt"
-    )
-    assert os.environ["RAY_TLS_SERVER_KEY"] == os.path.join(
-        os.getcwd(), f"tls-{tls_dir}-{ns}", "tls.key"
-    )
-    assert os.environ["RAY_TLS_CA_CERT"] == os.path.join(
-        os.getcwd(), f"tls-{tls_dir}-{ns}", "ca.crt"
-    )
-
-
-def test_cluster_throw_for_no_raycluster(mocker: MockerFixture):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
-        return_value="opendatahub",
-    )
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.get_default_kueue_name",
-        return_value="default",
-    )
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
-
-    def throw_if_getting_raycluster(group, version, namespace, plural):
-        if plural == "rayclusters":
-            raise client.ApiException(status=404)
-        return
-
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=throw_if_getting_raycluster,
-    )
-    cluster = Cluster(
-        ClusterConfiguration(
-            "test_cluster",
-            write_to_file=False,
-        )
-    )
-    with pytest.raises(RuntimeError):
-        cluster.up()
-
-
-"""
-Ray Jobs tests
-"""
-
-
-# rjc == RayJobClient
-@pytest.fixture
-def ray_job_client(mocker):
-    # Creating a fixture to instantiate RayJobClient with a mocked JobSubmissionClient
-    mocker.patch.object(JobSubmissionClient, "__init__", return_value=None)
-    return RayJobClient(
-        "https://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
-    )
-
-
-def test_rjc_submit_job(ray_job_client, mocker):
-    mocked_submit_job = mocker.patch.object(
-        JobSubmissionClient, "submit_job", return_value="mocked_submission_id"
-    )
-    submission_id = ray_job_client.submit_job(entrypoint={"pip": ["numpy"]})
-
-    mocked_submit_job.assert_called_once_with(
-        entrypoint={"pip": ["numpy"]},
-        job_id=None,
-        runtime_env=None,
-        metadata=None,
-        submission_id=None,
-        entrypoint_num_cpus=None,
-        entrypoint_num_gpus=None,
-        entrypoint_memory=None,
-        entrypoint_resources=None,
-    )
-
-    assert submission_id == "mocked_submission_id"
-
-
-def test_rjc_delete_job(ray_job_client, mocker):
-    # Case return True
-    mocked_delete_job_True = mocker.patch.object(
-        JobSubmissionClient, "delete_job", return_value=True
-    )
-    result = ray_job_client.delete_job(job_id="mocked_job_id")
-
-    mocked_delete_job_True.assert_called_once_with(job_id="mocked_job_id")
-    assert result == (True, "Successfully deleted Job mocked_job_id")
-
-    # Case return False
-    mocked_delete_job_False = mocker.patch.object(
-        JobSubmissionClient, "delete_job", return_value=(False)
-    )
-    result = ray_job_client.delete_job(job_id="mocked_job_id")
-
-    mocked_delete_job_False.assert_called_once_with(job_id="mocked_job_id")
-    assert result == (False, "Failed to delete Job mocked_job_id")
-
-
-def test_rjc_stop_job(ray_job_client, mocker):
-    # Case return True
-    mocked_stop_job_True = mocker.patch.object(
-        JobSubmissionClient, "stop_job", return_value=(True)
-    )
-    result = ray_job_client.stop_job(job_id="mocked_job_id")
-
-    mocked_stop_job_True.assert_called_once_with(job_id="mocked_job_id")
-    assert result == (True, "Successfully stopped Job mocked_job_id")
-
-    # Case return False
-    mocked_stop_job_False = mocker.patch.object(
-        JobSubmissionClient, "stop_job", return_value=(False)
-    )
-    result = ray_job_client.stop_job(job_id="mocked_job_id")
-
-    mocked_stop_job_False.assert_called_once_with(job_id="mocked_job_id")
-    assert result == (
-        False,
-        "Failed to stop Job, mocked_job_id could have already completed.",
-    )
-
-
-def test_rjc_address(ray_job_client, mocker):
-    mocked_rjc_address = mocker.patch.object(
-        JobSubmissionClient,
-        "get_address",
-        return_value="https://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org",
-    )
-    address = ray_job_client.get_address()
-
-    mocked_rjc_address.assert_called_once()
-    assert (
-        address
-        == "https://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
-    )
-
-
-def test_rjc_get_job_logs(ray_job_client, mocker):
-    mocked_rjc_get_job_logs = mocker.patch.object(
-        JobSubmissionClient, "get_job_logs", return_value="Logs"
-    )
-    logs = ray_job_client.get_job_logs(job_id="mocked_job_id")
-
-    mocked_rjc_get_job_logs.assert_called_once_with(job_id="mocked_job_id")
-    assert logs == "Logs"
-
-
-def test_rjc_get_job_info(ray_job_client, mocker):
-    job_details_example = "JobDetails(type=, job_id=None, submission_id='mocked_submission_id', driver_info=None, status=, entrypoint='python test.py', message='Job has not started yet. It may be waiting for the runtime environment to be set up.', error_type=None, start_time=1701271760641, end_time=None, metadata={}, runtime_env={'working_dir': 'gcs://_ray_pkg_67de6f0e60d43b19.zip', 'pip': {'packages': ['numpy'], 'pip_check': False}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}, driver_agent_http_address=None, driver_node_id=None)"
-    mocked_rjc_get_job_info = mocker.patch.object(
-        JobSubmissionClient, "get_job_info", return_value=job_details_example
-    )
-    job_details = ray_job_client.get_job_info(job_id="mocked_job_id")
-
-    mocked_rjc_get_job_info.assert_called_once_with(job_id="mocked_job_id")
-    assert job_details == job_details_example
-
-
-def test_rjc_get_job_status(ray_job_client, mocker):
-    job_status_example = ""
-    mocked_rjc_get_job_status = mocker.patch.object(
-        JobSubmissionClient, "get_job_status", return_value=job_status_example
-    )
-    job_status = ray_job_client.get_job_status(job_id="mocked_job_id")
-
-    mocked_rjc_get_job_status.assert_called_once_with(job_id="mocked_job_id")
-    assert job_status == job_status_example
-
-
-def test_rjc_tail_job_logs(ray_job_client, mocker):
-    logs_example = [
-        "Job started...",
-        "Processing input data...",
-        "Finalizing results...",
-        "Job completed successfully.",
-    ]
-    mocked_rjc_tail_job_logs = mocker.patch.object(
-        JobSubmissionClient, "tail_job_logs", return_value=logs_example
-    )
-    job_tail_job_logs = ray_job_client.tail_job_logs(job_id="mocked_job_id")
-
-    mocked_rjc_tail_job_logs.assert_called_once_with(job_id="mocked_job_id")
-    assert job_tail_job_logs == logs_example
-
-
-def test_rjc_list_jobs(ray_job_client, mocker):
-    requirements_path = "tests/e2e/mnist_pip_requirements.txt"
-    pytorch_lightning = get_package_and_version("pytorch_lightning", requirements_path)
-    torchmetrics = get_package_and_version("torchmetrics", requirements_path)
-    torchvision = get_package_and_version("torchvision", requirements_path)
-    jobs_list = [
-        f"JobDetails(type=, job_id=None, submission_id='raysubmit_4k2NYS1YbRXYPZCM', driver_info=None, status=, entrypoint='python mnist.py', message='Job finished successfully.', error_type=None, start_time=1701352132585, end_time=1701352192002, metadata={{}}, runtime_env={{'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {{'packages': ['{pytorch_lightning}', 'ray_lightning', '{torchmetrics}', '{torchvision}'], 'pip_check': False}}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')",
-        f"JobDetails(type=, job_id=None, submission_id='raysubmit_iRuwU8vdkbUZZGvT', driver_info=None, status=, entrypoint='python mnist.py', message='Job was intentionally stopped.', error_type=None, start_time=1701353096163, end_time=1701353097733, metadata={{}}, runtime_env={{'working_dir': 'gcs://_ray_pkg_6200b93a110e8033.zip', 'pip': {{'packages': ['{pytorch_lightning}', 'ray_lightning', '{torchmetrics}', '{torchvision}'], 'pip_check': False}}, '_ray_commit': 'b4bba4717f5ba04ee25580fe8f88eed63ef0c5dc'}}, driver_agent_http_address='http://10.131.0.18:52365', driver_node_id='9fb515995f5fb13ad4db239ceea378333bebf0a2d45b6aa09d02e691')",
-    ]
-    mocked_rjc_list_jobs = mocker.patch.object(
-        JobSubmissionClient, "list_jobs", return_value=jobs_list
-    )
-    job_list_jobs = ray_job_client.list_jobs()
-
-    mocked_rjc_list_jobs.assert_called_once()
-    assert job_list_jobs == jobs_list
-
-
-def test_cluster_config_deprecation_conversion(mocker):
-    config = ClusterConfiguration(
-        name="test",
-        num_gpus=2,
-        head_gpus=1,
-        min_memory=3,
-        max_memory=4,
-        min_cpus=1,
-        max_cpus=2,
-    )
-    assert config.worker_extended_resource_requests == {"nvidia.com/gpu": 2}
-    assert config.head_extended_resource_requests == {"nvidia.com/gpu": 1}
-    assert config.worker_memory_requests == "3G"
-    assert config.worker_memory_limits == "4G"
-    assert config.worker_cpu_requests == 1
-    assert config.worker_cpu_limits == 2
-
-
-"""
-    Ipywidgets tests
-"""
-
-
-@patch.dict(
-    "os.environ", {"JPY_SESSION_NAME": "example-test"}
-)  # Mock Jupyter environment variable
-def test_cluster_up_down_buttons(mocker):
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-    cluster = Cluster(createClusterConfig())
-
-    with patch("ipywidgets.Button") as MockButton, patch(
-        "ipywidgets.Checkbox"
-    ) as MockCheckbox, patch("ipywidgets.Output"), patch("ipywidgets.HBox"), patch(
-        "ipywidgets.VBox"
-    ), patch.object(
-        cluster, "up"
-    ) as mock_up, patch.object(
-        cluster, "down"
-    ) as mock_down, patch.object(
-        cluster, "wait_ready"
-    ) as mock_wait_ready:
-        # Create mock button & CheckBox instances
-        mock_up_button = MagicMock()
-        mock_down_button = MagicMock()
-        mock_wait_ready_check_box = MagicMock()
-
-        # Ensure the mock Button class returns the mock button instances in sequence
-        MockCheckbox.side_effect = [mock_wait_ready_check_box]
-        MockButton.side_effect = [mock_up_button, mock_down_button]
-
-        # Call the method under test
-        cf_widgets.cluster_up_down_buttons(cluster)
-
-        # Simulate checkbox being checked or unchecked
-        mock_wait_ready_check_box.value = True  # Simulate checkbox being checked
-
-        # Simulate the button clicks by calling the mock on_click handlers
-        mock_up_button.on_click.call_args[0][0](None)  # Simulate clicking "Cluster Up"
-        mock_down_button.on_click.call_args[0][0](
-            None
-        )  # Simulate clicking "Cluster Down"
-
-        # Check if the `up` and `down` methods were called
-        mock_wait_ready.assert_called_once()
-        mock_up.assert_called_once()
-        mock_down.assert_called_once()
-
-
-@patch.dict("os.environ", {}, clear=True)  # Mock environment with no variables
-def test_is_notebook_false():
-    assert cf_widgets.is_notebook() is False
-
-
-@patch.dict(
-    "os.environ", {"JPY_SESSION_NAME": "example-test"}
-)  # Mock Jupyter environment variable
-def test_is_notebook_true():
-    assert cf_widgets.is_notebook() is True
-
-
-def test_view_clusters(mocker, capsys):
-    # If is not a notebook environment, a warning should be raised
-    with pytest.warns(
-        UserWarning,
-        match="view_clusters can only be used in a Jupyter Notebook environment.",
-    ):
-        result = cf_widgets.view_clusters("default")
-
-        # Assert the function returns None when not in a notebook environment
-        assert result is None
-
-    # Prepare to run view_clusters when notebook environment is detected
-    mocker.patch("codeflare_sdk.common.widgets.widgets.is_notebook", return_value=True)
-    mock_get_current_namespace = mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
-        return_value="default",
-    )
-    namespace = mock_get_current_namespace.return_value
-
-    # Assert the function returns None when no clusters are found
-    mock_fetch_cluster_data = mocker.patch(
-        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data",
-        return_value=pd.DataFrame(),
-    )
-    result = cf_widgets.view_clusters()
-    captured = capsys.readouterr()
-    assert mock_fetch_cluster_data.return_value.empty
-    assert "No clusters found in the default namespace." in captured.out
-    assert result is None
-
-    # Prepare to run view_clusters with a test DataFrame
-    mock_fetch_cluster_data = mocker.patch(
-        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data",
-        return_value=pd.DataFrame(
-            {
-                "Name": ["test-cluster"],
-                "Namespace": ["default"],
-                "Num Workers": ["1"],
-                "Head GPUs": ["0"],
-                "Worker GPUs": ["0"],
-                "Head CPU Req~Lim": ["1~1"],
-                "Head Memory Req~Lim": ["1Gi~1Gi"],
-                "Worker CPU Req~Lim": ["1~1"],
-                "Worker Memory Req~Lim": ["1Gi~1Gi"],
-                "status": ['Ready ✓'],
-            }
-        ),
-    )
-    # Create a RayClusterManagerWidgets instance
-    ray_cluster_manager_instance = cf_widgets.RayClusterManagerWidgets(
-        ray_clusters_df=mock_fetch_cluster_data.return_value, namespace=namespace
-    )
-    # Patch the constructor of RayClusterManagerWidgets to return our initialized instance
-    mock_constructor = mocker.patch(
-        "codeflare_sdk.common.widgets.widgets.RayClusterManagerWidgets",
-        return_value=ray_cluster_manager_instance,
-    )
-
-    # Use a spy to track calls to display_widgets without replacing it
-    spy_display_widgets = mocker.spy(ray_cluster_manager_instance, "display_widgets")
-
-    cf_widgets.view_clusters()
-
-    mock_constructor.assert_called_once_with(
-        ray_clusters_df=mock_fetch_cluster_data.return_value, namespace=namespace
-    )
-
-    spy_display_widgets.assert_called_once()
-
-
-def test_delete_cluster(mocker, capsys):
-    name = "test-cluster"
-    namespace = "default"
-
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
-
-    mock_ray_cluster = MagicMock()
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
-        side_effect=[
-            mock_ray_cluster,
-            client.ApiException(status=404),
-            client.ApiException(status=404),
-            mock_ray_cluster,
-        ],
-    )
-
-    # In this scenario, the RayCluster exists and the AppWrapper does not.
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster._check_aw_exists", return_value=False
-    )
-    mock_delete_rc = mocker.patch(
-        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object"
-    )
-    cf_widgets._delete_cluster(name, namespace)
-
-    mock_delete_rc.assert_called_once_with(
-        group="ray.io",
-        version="v1",
-        namespace=namespace,
-        plural="rayclusters",
-        name=name,
-    )
-
-    # In this scenario, the AppWrapper exists and the RayCluster does not
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster._check_aw_exists", return_value=True
-    )
-    mock_delete_aw = mocker.patch(
-        "kubernetes.client.CustomObjectsApi.delete_namespaced_custom_object"
-    )
-    cf_widgets._delete_cluster(name, namespace)
-
-    mock_delete_aw.assert_called_once_with(
-        group="workload.codeflare.dev",
-        version="v1beta2",
-        namespace=namespace,
-        plural="appwrappers",
-        name=name,
-    )
-
-    # In this scenario, the deletion of the resource times out.
-    with pytest.raises(
-        TimeoutError, match=f"Timeout waiting for {name} to be deleted."
-    ):
-        cf_widgets._delete_cluster(name, namespace, 1)
-
-
-def test_ray_cluster_manager_widgets_init(mocker, capsys):
-    namespace = "default"
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
-    )
-    test_ray_clusters_df = pd.DataFrame(
-        {
-            "Name": ["test-cluster-1", "test-cluster-2"],
-            "Namespace": [namespace, namespace],
-            "Num Workers": ["1", "2"],
-            "Head GPUs": ["0", "0"],
-            "Worker GPUs": ["0", "0"],
-            "Head CPU Req~Lim": ["1~1", "1~1"],
-            "Head Memory Req~Lim": ["1Gi~1Gi", "1Gi~1Gi"],
-            "Worker CPU Req~Lim": ["1~1", "1~1"],
-            "Worker Memory Req~Lim": ["1Gi~1Gi", "1Gi~1Gi"],
-            "status": [
-                'Ready ✓',
-                'Ready ✓',
-            ],
-        }
-    )
-    mock_fetch_cluster_data = mocker.patch(
-        "codeflare_sdk.common.widgets.widgets._fetch_cluster_data",
-        return_value=test_ray_clusters_df,
-    )
-    mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.get_current_namespace",
-        return_value=namespace,
-    )
-    mock_delete_cluster = mocker.patch(
-        "codeflare_sdk.common.widgets.widgets._delete_cluster"
-    )
-
-    # # Mock ToggleButtons
-    mock_toggle_buttons = mocker.patch("ipywidgets.ToggleButtons")
-    mock_button = mocker.patch("ipywidgets.Button")
-    mock_output = mocker.patch("ipywidgets.Output")
-
-    # Initialize the RayClusterManagerWidgets instance
-    ray_cluster_manager_instance = cf_widgets.RayClusterManagerWidgets(
-        ray_clusters_df=test_ray_clusters_df, namespace=namespace
-    )
-
-    # Assertions for DataFrame and attributes
-    assert ray_cluster_manager_instance.ray_clusters_df.equals(
-        test_ray_clusters_df
-    ), "ray_clusters_df attribute does not match the input DataFrame"
-    assert (
-        ray_cluster_manager_instance.namespace == namespace
-    ), f"Expected namespace to be '{namespace}', but got '{ray_cluster_manager_instance.namespace}'"
-    assert (
-        ray_cluster_manager_instance.classification_widget.options
-        == test_ray_clusters_df["Name"].tolist()
-    ), "classification_widget options do not match the input DataFrame"
-
-    # Assertions for widgets
-    mock_toggle_buttons.assert_called_once_with(
-        options=test_ray_clusters_df["Name"].tolist(),
-        value=test_ray_clusters_df["Name"].tolist()[0],
-        description="Select an existing cluster:",
-    )
-    assert (
-        ray_cluster_manager_instance.classification_widget
-        == mock_toggle_buttons.return_value
-    ), "classification_widget is not set correctly"
-    assert (
-        ray_cluster_manager_instance.delete_button == mock_button.return_value
-    ), "delete_button is not set correctly"
-    assert (
-        ray_cluster_manager_instance.list_jobs_button == mock_button.return_value
-    ), "list_jobs_button is not set correctly"
-    assert (
-        ray_cluster_manager_instance.ray_dashboard_button == mock_button.return_value
-    ), "ray_dashboard_button is not set correctly"
-    assert (
-        ray_cluster_manager_instance.raycluster_data_output == mock_output.return_value
-    ), "raycluster_data_output is not set correctly"
-    assert (
-        ray_cluster_manager_instance.user_output == mock_output.return_value
-    ), "user_output is not set correctly"
-    assert (
-        ray_cluster_manager_instance.url_output == mock_output.return_value
-    ), "url_output is not set correctly"
-
-    ### Test button click events
-    mock_delete_button = MagicMock()
-    mock_list_jobs_button = MagicMock()
-    mock_ray_dashboard_button = MagicMock()
-
-    mock_javascript = mocker.patch("codeflare_sdk.common.widgets.widgets.Javascript")
-    ray_cluster_manager_instance.url_output = MagicMock()
-
-    mock_dashboard_uri = mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.Cluster.cluster_dashboard_uri",
-        return_value="https://ray-dashboard-test-cluster-1-ns.apps.cluster.awsroute.org",
-    )
-
-    # Simulate clicking the list jobs button
-    ray_cluster_manager_instance.classification_widget.value = "test-cluster-1"
-    ray_cluster_manager_instance._on_list_jobs_button_click(mock_list_jobs_button)
-
-    captured = capsys.readouterr()
-    assert (
-        f"Opening Ray Jobs Dashboard for test-cluster-1 cluster:\n{mock_dashboard_uri.return_value}/#/jobs"
-        in captured.out
-    )
-    mock_javascript.assert_called_with(
-        f'window.open("{mock_dashboard_uri.return_value}/#/jobs", "_blank");'
-    )
-
-    # Simulate clicking the Ray dashboard button
-    ray_cluster_manager_instance.classification_widget.value = "test-cluster-1"
-    ray_cluster_manager_instance._on_ray_dashboard_button_click(
-        mock_ray_dashboard_button
-    )
-
-    captured = capsys.readouterr()
-    assert (
-        f"Opening Ray Dashboard for test-cluster-1 cluster:\n{mock_dashboard_uri.return_value}"
-        in captured.out
-    )
-    mock_javascript.assert_called_with(
-        f'window.open("{mock_dashboard_uri.return_value}", "_blank");'
-    )
-
-    # Simulate clicking the delete button
-    ray_cluster_manager_instance.classification_widget.value = "test-cluster-1"
-    ray_cluster_manager_instance._on_delete_button_click(mock_delete_button)
-    mock_delete_cluster.assert_called_with("test-cluster-1", namespace)
-
-    mock_fetch_cluster_data.return_value = pd.DataFrame()
-    ray_cluster_manager_instance.classification_widget.value = "test-cluster-2"
-    ray_cluster_manager_instance._on_delete_button_click(mock_delete_button)
-    mock_delete_cluster.assert_called_with("test-cluster-2", namespace)
-
-    # Assert on deletion that the dataframe is empty
-    assert (
-        ray_cluster_manager_instance.ray_clusters_df.empty
-    ), "Expected DataFrame to be empty after deletion"
-
-    captured = capsys.readouterr()
-    assert (
-        f"Cluster test-cluster-1 in the {namespace} namespace was deleted successfully."
-        in captured.out
-    )
-
-
-def test_fetch_cluster_data(mocker):
-    # Return empty dataframe when no clusters are found
-    mocker.patch("codeflare_sdk.ray.cluster.cluster.list_all_clusters", return_value=[])
-    df = cf_widgets._fetch_cluster_data(namespace="default")
-    assert df.empty
-
-    # Create mock RayCluster objects
-    mock_raycluster1 = MagicMock(spec=RayCluster)
-    mock_raycluster1.name = "test-cluster-1"
-    mock_raycluster1.namespace = "default"
-    mock_raycluster1.num_workers = 1
-    mock_raycluster1.head_extended_resources = {"nvidia.com/gpu": "1"}
-    mock_raycluster1.worker_extended_resources = {"nvidia.com/gpu": "2"}
-    mock_raycluster1.head_cpu_requests = "500m"
-    mock_raycluster1.head_cpu_limits = "1000m"
-    mock_raycluster1.head_mem_requests = "1Gi"
-    mock_raycluster1.head_mem_limits = "2Gi"
-    mock_raycluster1.worker_cpu_requests = "1000m"
-    mock_raycluster1.worker_cpu_limits = "2000m"
-    mock_raycluster1.worker_mem_requests = "2Gi"
-    mock_raycluster1.worker_mem_limits = "4Gi"
-    mock_raycluster1.status = MagicMock()
-    mock_raycluster1.status.name = "READY"
-    mock_raycluster1.status = RayClusterStatus.READY
-
-    mock_raycluster2 = MagicMock(spec=RayCluster)
-    mock_raycluster2.name = "test-cluster-2"
-    mock_raycluster2.namespace = "default"
-    mock_raycluster2.num_workers = 2
-    mock_raycluster2.head_extended_resources = {}
-    mock_raycluster2.worker_extended_resources = {}
-    mock_raycluster2.head_cpu_requests = None
-    mock_raycluster2.head_cpu_limits = None
-    mock_raycluster2.head_mem_requests = None
-    mock_raycluster2.head_mem_limits = None
-    mock_raycluster2.worker_cpu_requests = None
-    mock_raycluster2.worker_cpu_limits = None
-    mock_raycluster2.worker_mem_requests = None
-    mock_raycluster2.worker_mem_limits = None
-    mock_raycluster2.status = MagicMock()
-    mock_raycluster2.status.name = "SUSPENDED"
-    mock_raycluster2.status = RayClusterStatus.SUSPENDED
-
-    with patch(
-        "codeflare_sdk.ray.cluster.cluster.list_all_clusters",
-        return_value=[mock_raycluster1, mock_raycluster2],
-    ):
-        # Call the function under test
-        df = cf_widgets._fetch_cluster_data(namespace="default")
-
-    # Expected DataFrame
-    expected_data = {
-        "Name": ["test-cluster-1", "test-cluster-2"],
-        "Namespace": ["default", "default"],
-        "Num Workers": [1, 2],
-        "Head GPUs": ["nvidia.com/gpu: 1", "0"],
-        "Worker GPUs": ["nvidia.com/gpu: 2", "0"],
-        "Head CPU Req~Lim": ["500m~1000m", "0~0"],
-        "Head Memory Req~Lim": ["1Gi~2Gi", "0~0"],
-        "Worker CPU Req~Lim": ["1000m~2000m", "0~0"],
-        "Worker Memory Req~Lim": ["2Gi~4Gi", "0~0"],
-        "status": [
-            'Ready ✓',
-            'Suspended ❄️',
-        ],
-    }
-
-    expected_df = pd.DataFrame(expected_data)
-
-    # Assert that the DataFrame matches expected
-    pd.testing.assert_frame_equal(
-        df.reset_index(drop=True), expected_df.reset_index(drop=True)
-    )
-
-
-def test_format_status():
-    # Test each possible status
-    test_cases = [
-        (RayClusterStatus.READY, 'Ready ✓'),
-        (
-            RayClusterStatus.SUSPENDED,
-            'Suspended ❄️',
-        ),
-        (RayClusterStatus.FAILED, 'Failed ✗'),
-        (RayClusterStatus.UNHEALTHY, 'Unhealthy'),
-        (RayClusterStatus.UNKNOWN, 'Unknown'),
-    ]
-
-    for status, expected_output in test_cases:
-        assert (
-            cf_widgets._format_status(status) == expected_output
-        ), f"Failed for status: {status}"
-
-    # Test an unrecognized status
-    unrecognized_status = "NotAStatus"
-    assert (
-        cf_widgets._format_status(unrecognized_status) == "NotAStatus"
-    ), "Failed for unrecognized status"
-
-
-# Make sure to always keep this function last
-def test_cleanup():
-    os.remove(f"{aw_dir}unit-test-no-kueue.yaml")
-    os.remove(f"{aw_dir}unit-test-cluster.yaml")
-    os.remove(f"{aw_dir}test.yaml")
-    os.remove(f"{aw_dir}raytest2.yaml")
-    os.remove(f"{aw_dir}unit-test-cluster-ray.yaml")
-    os.remove("tls-cluster-namespace/ca.crt")
-    os.remove("tls-cluster-namespace/tls.crt")
-    os.remove("tls-cluster-namespace/tls.key")
-    os.rmdir("tls-cluster-namespace")
diff --git a/tests/unit_test_support.py b/tests/unit_test_support.py
deleted file mode 100644
index b3c2e197..00000000
--- a/tests/unit_test_support.py
+++ /dev/null
@@ -1,60 +0,0 @@
-from codeflare_sdk.ray.cluster.cluster import (
-    Cluster,
-    ClusterConfiguration,
-)
-
-
-def createClusterConfig():
-    config = ClusterConfiguration(
-        name="unit-test-cluster",
-        namespace="ns",
-        num_workers=2,
-        worker_cpu_requests=3,
-        worker_cpu_limits=4,
-        worker_memory_requests=5,
-        worker_memory_limits=6,
-        worker_extended_resource_requests={"nvidia.com/gpu": 7},
-        appwrapper=True,
-        machine_types=["cpu.small", "gpu.large"],
-        image_pull_secrets=["unit-test-pull-secret"],
-        write_to_file=True,
-    )
-    return config
-
-
-def createClusterWithConfig(mocker):
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
-    )
-    cluster = Cluster(createClusterConfig())
-    return cluster
-
-
-def createClusterWrongType():
-    config = ClusterConfiguration(
-        name="unit-test-cluster",
-        namespace="ns",
-        num_workers=2,
-        worker_cpu_requests=[],
-        worker_cpu_limits=4,
-        worker_memory_requests=5,
-        worker_memory_limits=6,
-        worker_extended_resource_requests={"nvidia.com/gpu": 7},
-        appwrapper=True,
-        machine_types=[True, False],
-        image_pull_secrets=["unit-test-pull-secret"],
-        image="quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06",
-        write_to_file=True,
-        labels={1: 1},
-    )
-    return config
-
-
-def get_package_and_version(package_name, requirements_file_path):
-    with open(requirements_file_path, "r") as file:
-        for line in file:
-            if line.strip().startswith(f"{package_name}=="):
-                return line.strip()
-    return None

From 54f53bcc70177f16ca012f458b3c44a9dbb8f9a3 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Tue, 8 Oct 2024 16:52:02 +0100
Subject: [PATCH 128/254] refactor: unit test workflows

---
 .github/workflows/coverage-badge.yaml | 2 +-
 .github/workflows/unit-tests.yml      | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/coverage-badge.yaml b/.github/workflows/coverage-badge.yaml
index 5a88934c..bae1212d 100644
--- a/.github/workflows/coverage-badge.yaml
+++ b/.github/workflows/coverage-badge.yaml
@@ -26,7 +26,7 @@ jobs:
         poetry install --with test
     - name: Generate coverage report
       run: |
-        coverage run -m --source=src pytest -v tests/unit_test.py
+        coverage run -m pytest
 
     - name: Coverage Badge
       uses: tj-actions/coverage-badge-py@v2
diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml
index bb010e2c..b7d8ba61 100755
--- a/.github/workflows/unit-tests.yml
+++ b/.github/workflows/unit-tests.yml
@@ -26,7 +26,7 @@ jobs:
           poetry install --with test
       - name: Test with pytest and check coverage
         run: |
-          coverage run -m --source=src pytest -v tests/unit_test.py
+          coverage run -m pytest
           coverage=$(coverage report -m | tail -1 | tail -c 4 | head -c 2)
           if (( $coverage < 90 )); then echo "Coverage failed at ${coverage}%"; exit 1; else echo "Coverage passed, ${coverage}%"; fi
         continue-on-error: true

From 7694218b9c27a4de71239fb6424917939af69001 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Tue, 8 Oct 2024 16:54:03 +0100
Subject: [PATCH 129/254] docs: update docs to reflect unit test refactor

---
 CONTRIBUTING.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 60f84102..884632da 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -71,7 +71,7 @@ pip install -e .
 To run the unit tests, execute:
 
 ```sh
-pytest -v tests/unit_test.py
+pytest -v src/codeflare_sdk
 ```
 
 ### Local e2e Testing
@@ -80,7 +80,7 @@ pytest -v tests/unit_test.py
 
 #### Code Coverage
 
-- Run tests with the following command: `coverage run -m --source=src pytest tests/unit_test.py`
+- Run tests with the following command: `coverage run -m pytest`
 - To then view a code coverage report w/ missing lines, run `coverage report -m`
 
 ### Code Formatting

From b90d5d63c5a2ebdbf5a45c6f3dfdd3e923e0f507 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" 
Date: Wed, 9 Oct 2024 19:09:35 +0000
Subject: [PATCH 130/254] Updated coverage.svg

---
 coverage.svg | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/coverage.svg b/coverage.svg
index 607d3de4..fe061433 100644
--- a/coverage.svg
+++ b/coverage.svg
@@ -15,7 +15,7 @@
     
         coverage
         coverage
-        91%
-        91%
+        94%
+        94%
     
 

From 7c04444481f510a958655587e6d5161641ae5577 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Mon, 14 Oct 2024 10:24:46 +0100
Subject: [PATCH 131/254] Dynamic notebooks sync workflow

---
 .github/workflows/odh-notebooks-sync.yml | 25 ++++++++++++++++--------
 1 file changed, 17 insertions(+), 8 deletions(-)

diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml
index d31a49f5..ecb5b0a5 100644
--- a/.github/workflows/odh-notebooks-sync.yml
+++ b/.github/workflows/odh-notebooks-sync.yml
@@ -7,7 +7,14 @@ on:
         required: true
         description: "Owner of target upstream notebooks repository used to open a PR against"
         default: "opendatahub-io"
-
+      notebooks-target-branch:
+        required: true
+        description: "Target branch of upstream repository"
+        default: "main"
+      python-version:
+        required: true
+        description: "Provide the python version to be used for the notebooks"
+        default: "3.11"
       codeflare-repository-organization:
         required: true
         description: "Owner of origin notebooks repository used to open a PR"
@@ -18,7 +25,8 @@ on:
         description: "Provide version of the Codeflare-SDK release"
 
 env:
-  BRANCH_NAME: main
+  BRANCH_NAME: ${{ github.event.inputs.notebooks-target-branch }}
+  PYTHON_VERSION: ${{ github.event.inputs.python-version }}
   CODEFLARE_RELEASE_VERSION: ${{ github.event.inputs.codeflare_sdk_release_version }}
   UPDATER_BRANCH: odh-sync-updater-${{ github.run_id }}
   UPSTREAM_OWNER: ${{ github.event.inputs.upstream-repository-organization }}
@@ -39,23 +47,24 @@ jobs:
           git config --global user.email "138894154+codeflare-machine-account@users.noreply.github.com"
           git config --global user.name "codeflare-machine-account"
           git remote -v
-          git pull upstream main && git push origin main
+          git fetch upstream $BRANCH_NAME
+          git checkout $BRANCH_NAME
 
       - name: Setup Python environment
         uses: actions/setup-python@v4
         with:
-          python-version: |
-            3.9
-            3.11
+          python-version: ${{ env.PYTHON_VERSION }}
           cache: 'pipenv'
 
+      # Sync fails with pipenv 2024.1.0 (current latest version)
+      # TODO: We should retry with later versions of pipenv once they are available.
       - name: Install pipenv and pip-versions
-        run: pip install pipenv pip-versions
+        run: pip install pipenv==2024.0.3 pip-versions
 
       - name: Update Pipfiles in accordance with Codeflare-SDK latest release
         run: |
           package_name=codeflare-sdk
-          available_python_versions=("3.9" "3.11") # add space separated python versions according to 'python-versions' specified in 'Setup Python Environment' step
+          available_python_versions=("$PYTHON_VERSION") # add space separated python versions according to 'python-versions' specified in 'Setup Python Environment' step
           install_package_using_pipenv(){
             # args allow custom names for Pipfile and Pipfile.lock
             if [ $# -eq 2 ]; then

From 9116859cdcb457616a4eafe56805004b701d22f8 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 17 Oct 2024 11:35:13 +0100
Subject: [PATCH 132/254] update approvers and reviewers

---
 OWNERS | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/OWNERS b/OWNERS
index 02abe61c..f375f431 100644
--- a/OWNERS
+++ b/OWNERS
@@ -1,6 +1,7 @@
 approvers:
   - astefanutti
   - Bobbins228
+  - ChristianZaccaria
   - dimakis
   - Fiona-Waters
   - franciscojavierarceo
@@ -19,3 +20,4 @@ reviewers:
   - maxusmusti
   - MichaelClifford
   - varshaprasad96
+  - Ygnas

From b7c37af4e59cd5ac686b3d37f2424455b8ae9b62 Mon Sep 17 00:00:00 2001
From: Kevin 
Date: Wed, 9 Oct 2024 15:49:54 -0400
Subject: [PATCH 133/254] add function for listing lqs by flavors

Signed-off-by: Kevin 
---
 src/codeflare_sdk/__init__.py                 |  4 ++
 .../kubernetes_cluster/kube_api_helpers.py    |  1 +
 src/codeflare_sdk/common/kueue/__init__.py    |  1 +
 src/codeflare_sdk/common/kueue/kueue.py       | 49 ++++++++++++++++++-
 src/codeflare_sdk/common/kueue/test_kueue.py  | 42 ++++++++++++++++
 5 files changed, 96 insertions(+), 1 deletion(-)

diff --git a/src/codeflare_sdk/__init__.py b/src/codeflare_sdk/__init__.py
index a1b5535c..9ab5c745 100644
--- a/src/codeflare_sdk/__init__.py
+++ b/src/codeflare_sdk/__init__.py
@@ -21,6 +21,10 @@
     KubeConfigFileAuthentication,
 )
 
+from .common.kueue import (
+    list_local_queues,
+)
+
 from .common.utils import generate_cert
 from .common.utils.demos import copy_demo_nbs
 
diff --git a/src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py b/src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py
index efa1d2b6..8974a3f3 100644
--- a/src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py
+++ b/src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py
@@ -20,6 +20,7 @@
 import executing
 from kubernetes import client, config
 from urllib3.util import parse_url
+import os
 
 
 # private methods
diff --git a/src/codeflare_sdk/common/kueue/__init__.py b/src/codeflare_sdk/common/kueue/__init__.py
index b02e3c24..c9c641c1 100644
--- a/src/codeflare_sdk/common/kueue/__init__.py
+++ b/src/codeflare_sdk/common/kueue/__init__.py
@@ -2,4 +2,5 @@
     get_default_kueue_name,
     local_queue_exists,
     add_queue_label,
+    list_local_queues,
 )
diff --git a/src/codeflare_sdk/common/kueue/kueue.py b/src/codeflare_sdk/common/kueue/kueue.py
index 0c207548..c063c6fe 100644
--- a/src/codeflare_sdk/common/kueue/kueue.py
+++ b/src/codeflare_sdk/common/kueue/kueue.py
@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import Optional
+from typing import Optional, List
 from codeflare_sdk.common import _kube_api_error_handling
 from codeflare_sdk.common.kubernetes_cluster.auth import config_check, get_api_client
 from kubernetes import client
@@ -45,6 +45,53 @@ def get_default_kueue_name(namespace: str):
             return lq["metadata"]["name"]
 
 
+def list_local_queues(
+    namespace: Optional[str] = None, flavors: Optional[List[str]] = None
+) -> List[dict]:
+    """
+    This function lists all local queues in the namespace provided.
+
+    If no namespace is provided, it will use the current namespace. If flavors is provided, it will only return local
+    queues that support all the flavors provided.
+
+    Note:
+        Depending on the version of the local queue API, the available flavors may not be present in the response.
+
+    Args:
+        namespace (str, optional): The namespace to list local queues from. Defaults to None.
+        flavors (List[str], optional): The flavors to filter local queues by. Defaults to None.
+    Returns:
+        List[dict]: A list of dictionaries containing the name of the local queue and the available flavors
+    """
+
+    from ...ray.cluster.cluster import get_current_namespace
+
+    if namespace is None:  # pragma: no cover
+        namespace = get_current_namespace()
+    try:
+        config_check()
+        api_instance = client.CustomObjectsApi(get_api_client())
+        local_queues = api_instance.list_namespaced_custom_object(
+            group="kueue.x-k8s.io",
+            version="v1beta1",
+            namespace=namespace,
+            plural="localqueues",
+        )
+    except ApiException as e:  # pragma: no cover
+        return _kube_api_error_handling(e)
+    to_return = []
+    for lq in local_queues["items"]:
+        item = {"name": lq["metadata"]["name"]}
+        if "flavors" in lq["status"]:
+            item["flavors"] = [f["name"] for f in lq["status"]["flavors"]]
+            if flavors is not None and not set(flavors).issubset(set(item["flavors"])):
+                continue
+        elif flavors is not None:
+            continue  # NOTE: may be indicative old local queue API and might be worth while raising or warning here
+        to_return.append(item)
+    return to_return
+
+
 def local_queue_exists(namespace: str, local_queue_name: str):
     # get all local queues in the namespace
     try:
diff --git a/src/codeflare_sdk/common/kueue/test_kueue.py b/src/codeflare_sdk/common/kueue/test_kueue.py
index a4e984c3..e9de364d 100644
--- a/src/codeflare_sdk/common/kueue/test_kueue.py
+++ b/src/codeflare_sdk/common/kueue/test_kueue.py
@@ -18,6 +18,7 @@
 import os
 import filecmp
 from pathlib import Path
+from .kueue import list_local_queues
 
 parent = Path(__file__).resolve().parents[4]  # project directory
 aw_dir = os.path.expanduser("~/.codeflare/resources/")
@@ -131,6 +132,47 @@ def test_get_local_queue_exists_fail(mocker):
         )
 
 
+def test_list_local_queues(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value={
+            "items": [
+                {
+                    "metadata": {"name": "lq1"},
+                    "status": {"flavors": [{"name": "default"}]},
+                },
+                {
+                    "metadata": {"name": "lq2"},
+                    "status": {
+                        "flavors": [{"name": "otherflavor"}, {"name": "default"}]
+                    },
+                },
+            ]
+        },
+    )
+    lqs = list_local_queues("ns")
+    assert lqs == [
+        {"name": "lq1", "flavors": ["default"]},
+        {"name": "lq2", "flavors": ["otherflavor", "default"]},
+    ]
+    lqs = list_local_queues("ns", flavors=["otherflavor"])
+    assert lqs == [{"name": "lq2", "flavors": ["otherflavor", "default"]}]
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value={
+            "items": [
+                {
+                    "metadata": {"name": "lq1"},
+                    "status": {},
+                },
+            ]
+        },
+    )
+    lqs = list_local_queues("ns", flavors=["default"])
+    assert lqs == []
+
+
 # Make sure to always keep this function last
 def test_cleanup():
     os.remove(f"{aw_dir}unit-test-cluster-kueue.yaml")

From 5606f845674adbdb87c9c2e8cd1ffe81621e3880 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Fri, 11 Oct 2024 14:14:50 +0100
Subject: [PATCH 134/254] docs: convert auto-generated documentation to from
 pydoc to sphinx

---
 .github/workflows/release.yaml                |    5 +-
 docs/authentication.md                        |   40 -
 docs/cluster-configuration.md                 |   46 -
 docs/detailed-documentation/cluster/auth.html |  742 ------
 .../cluster/awload.html                       |  328 ---
 .../cluster/cluster.html                      | 2174 -----------------
 .../cluster/config.html                       |  764 ------
 .../detailed-documentation/cluster/index.html |  129 -
 .../detailed-documentation/cluster/model.html |  531 ----
 .../cluster/widgets.html                      |  758 ------
 docs/detailed-documentation/index.html        |  106 -
 docs/detailed-documentation/job/index.html    |   72 -
 docs/detailed-documentation/job/ray_jobs.html |  585 -----
 docs/detailed-documentation/utils/demos.html  |  138 --
 .../utils/generate_cert.html                  |  451 ----
 .../utils/generate_yaml.html                  |  951 -------
 docs/detailed-documentation/utils/index.html  |   88 -
 .../utils/kube_api_helpers.html               |  112 -
 .../utils/pretty_print.html                   |  491 ----
 docs/e2e.md                                   |  133 -
 docs/generate-documentation.md                |   14 +
 docs/s3-compatible-storage.md                 |   61 -
 docs/setup-kueue.md                           |   66 -
 docs/sphinx/Makefile                          |   20 +
 docs/sphinx/conf.py                           |   38 +
 docs/sphinx/index.rst                         |   32 +
 docs/sphinx/make.bat                          |   35 +
 docs/sphinx/user-docs/authentication.rst      |   66 +
 .../user-docs/cluster-configuration.rst       |   72 +
 docs/sphinx/user-docs/e2e.rst                 |  210 ++
 .../user-docs/s3-compatible-storage.rst       |   86 +
 docs/sphinx/user-docs/setup-kueue.rst         |  109 +
 poetry.lock                                   |  261 +-
 pyproject.toml                                |    3 +-
 34 files changed, 896 insertions(+), 8821 deletions(-)
 delete mode 100644 docs/authentication.md
 delete mode 100644 docs/cluster-configuration.md
 delete mode 100644 docs/detailed-documentation/cluster/auth.html
 delete mode 100644 docs/detailed-documentation/cluster/awload.html
 delete mode 100644 docs/detailed-documentation/cluster/cluster.html
 delete mode 100644 docs/detailed-documentation/cluster/config.html
 delete mode 100644 docs/detailed-documentation/cluster/index.html
 delete mode 100644 docs/detailed-documentation/cluster/model.html
 delete mode 100644 docs/detailed-documentation/cluster/widgets.html
 delete mode 100644 docs/detailed-documentation/index.html
 delete mode 100644 docs/detailed-documentation/job/index.html
 delete mode 100644 docs/detailed-documentation/job/ray_jobs.html
 delete mode 100644 docs/detailed-documentation/utils/demos.html
 delete mode 100644 docs/detailed-documentation/utils/generate_cert.html
 delete mode 100644 docs/detailed-documentation/utils/generate_yaml.html
 delete mode 100644 docs/detailed-documentation/utils/index.html
 delete mode 100644 docs/detailed-documentation/utils/kube_api_helpers.html
 delete mode 100644 docs/detailed-documentation/utils/pretty_print.html
 delete mode 100644 docs/e2e.md
 create mode 100644 docs/generate-documentation.md
 delete mode 100644 docs/s3-compatible-storage.md
 delete mode 100644 docs/setup-kueue.md
 create mode 100644 docs/sphinx/Makefile
 create mode 100644 docs/sphinx/conf.py
 create mode 100644 docs/sphinx/index.rst
 create mode 100644 docs/sphinx/make.bat
 create mode 100644 docs/sphinx/user-docs/authentication.rst
 create mode 100644 docs/sphinx/user-docs/cluster-configuration.rst
 create mode 100644 docs/sphinx/user-docs/e2e.rst
 create mode 100644 docs/sphinx/user-docs/s3-compatible-storage.rst
 create mode 100644 docs/sphinx/user-docs/setup-kueue.rst

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 0b9d6bbc..6e56a3f8 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -51,7 +51,10 @@ jobs:
             - name: Run poetry install
               run: poetry install --with docs
             - name: Create new documentation
-              run: poetry run pdoc --html -o docs/detailed-documentation src/codeflare_sdk && pushd docs/detailed-documentation && rm -rf cluster job utils && mv codeflare_sdk/* . && rm -rf codeflare_sdk && popd && find docs/detailed-documentation -type f -name "*.html" -exec bash -c "echo '' >> {}" \;
+              run: |
+                sphinx-apidoc -o docs/sphinx src/codeflare_sdk "**/*test_*" --force
+                make clean -C docs/sphinx
+                make html -C docs/sphinx
             - name: Copy demo notebooks into SDK package
               run: cp -r demo-notebooks src/codeflare_sdk/demo-notebooks
             - name: Run poetry build
diff --git a/docs/authentication.md b/docs/authentication.md
deleted file mode 100644
index bb27f171..00000000
--- a/docs/authentication.md
+++ /dev/null
@@ -1,40 +0,0 @@
-# Authentication via the CodeFlare SDK
-Currently there are four ways of authenticating to your cluster via the SDK.
    
-Authenticating with your cluster allows you to perform actions such as creating Ray Clusters and Job Submission.
-
-## Method 1 Token Authentication
-This is how a typical user would authenticate to their cluster using `TokenAuthentication`.
-```
-from codeflare_sdk import TokenAuthentication
-
-auth = TokenAuthentication(
-    token = "XXXXX",
-    server = "XXXXX",
-    skip_tls=False,
-    # ca_cert_path="/path/to/cert"
-)
-auth.login()
-# log out with auth.logout()
-```
-Setting `skip_tls=True` allows interaction with an HTTPS server bypassing the server certificate checks although this is not secure.
    
-You can pass a custom certificate to `TokenAuthentication` by using `ca_cert_path="/path/to/cert"` when authenticating provided `skip_tls=False`. Alternatively you can set the environment variable `CF_SDK_CA_CERT_PATH` to the path of your custom certificate.
-
-## Method 2 Kubernetes Config File Authentication (Default location)
-If a user has authenticated to their cluster by alternate means e.g. run a login command like `oc login --token= --server=` their kubernetes config file should have updated.
    
-If the user has not specifically authenticated through the SDK by other means such as `TokenAuthentication` then the SDK will try to use their default Kubernetes config file located at `"/HOME/.kube/config"`.
-
-## Method 3 Specifying a Kubernetes Config File
-A user can specify a config file via a different authentication class `KubeConfigFileAuthentication` for authenticating with the SDK.
    
-This is what loading a custom config file would typically look like.
-```
-from codeflare_sdk import KubeConfigFileAuthentication
-
-auth = KubeConfigFileAuthentication(
-    kube_config_path="/path/to/config",
-)
-auth.load_kube_config()
-# log out with auth.logout()
-```
-
-## Method 4 In-Cluster Authentication
-If a user does not authenticate by any of the means detailed above and does not have a config file at `"/HOME/.kube/config"` the SDK will try to authenticate with the in-cluster configuration file.
diff --git a/docs/cluster-configuration.md b/docs/cluster-configuration.md
deleted file mode 100644
index 97068b49..00000000
--- a/docs/cluster-configuration.md
+++ /dev/null
@@ -1,46 +0,0 @@
-# Ray Cluster Configuration
-
-To create Ray Clusters using the CodeFlare SDK a cluster configuration needs to be created first.
    
-This is what a typical cluster configuration would look like; Note: The values for CPU and Memory are at the minimum requirements for creating the Ray Cluster.
-
-```python
-from codeflare_sdk import Cluster, ClusterConfiguration
-
-cluster = Cluster(ClusterConfiguration(
-    name='ray-example', # Mandatory Field
-    namespace='default', # Default None
-    head_cpu_requests=1, # Default 2
-    head_cpu_limits=1, # Default 2
-    head_memory_requests=1, # Default 8
-    head_memory_limits=1, # Default 8
-    head_extended_resource_requests={'nvidia.com/gpu':0}, # Default 0
-    worker_extended_resource_requests={'nvidia.com/gpu':0}, # Default 0
-    num_workers=1, # Default 1
-    worker_cpu_requests=1, # Default 1
-    worker_cpu_limits=1, # Default 1
-    worker_memory_requests=2, # Default 2
-    worker_memory_limits=2, # Default 2
-    # image="", # Optional Field
-    machine_types=["m5.xlarge", "g4dn.xlarge"],
-    labels={"exampleLabel": "example", "secondLabel": "example"},
-))
-```
-Note: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. If you have your own Ray image which suits your purposes, specify it in image field to override the default image. If you are using ROCm compatible GPUs you can use 'quay.io/modh/ray:2.35.0-py39-rocm61'. You can also find documentation on building a custom image [here](https://github.com/opendatahub-io/distributed-workloads/tree/main/images/runtime/examples).
-
-The `labels={"exampleLabel": "example"}` parameter can be used to apply additional labels to the RayCluster resource.
-
-After creating their `cluster`, a user can call `cluster.up()` and `cluster.down()` to respectively create or remove the Ray Cluster.
-
-
-## Deprecating Parameters
-The following parameters of the `ClusterConfiguration` are being deprecated in release `v0.22.0`. 
-| Deprecated Parameter | Replaced By |
-| :--------- | :-------- |
-| `head_cpus` | `head_cpu_requests`, `head_cpu_limits` |
-| `head_memory` | `head_memory_requests`, `head_memory_limits` |
-| `min_cpus` | `worker_cpu_requests` |
-| `max_cpus` | `worker_cpu_limits` |
-| `min_memory` | `worker_memory_requests` |
-| `max_memory` | `worker_memory_limits` |
-| `head_gpus` | `head_extended_resource_requests` |
-| `num_gpus` | `worker_extended_resource_requests` |
diff --git a/docs/detailed-documentation/cluster/auth.html b/docs/detailed-documentation/cluster/auth.html
deleted file mode 100644
index d35b4609..00000000
--- a/docs/detailed-documentation/cluster/auth.html
+++ /dev/null
@@ -1,742 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.cluster.auth API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.cluster.auth
    
-
    
-
    
-
    The auth sub-module contains the definitions for the Authentication objects, which represent
-the methods by which a user can authenticate to their cluster(s). The abstract class, Authentication,
-contains two required methods login() and logout(). Users can use one of the existing concrete classes to
-authenticate to their cluster or add their own custom concrete classes here.
    
-
    
-
-Expand source code
-
-
    # Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-The auth sub-module contains the definitions for the Authentication objects, which represent
-the methods by which a user can authenticate to their cluster(s). The abstract class, `Authentication`,
-contains two required methods `login()` and `logout()`. Users can use one of the existing concrete classes to
-authenticate to their cluster or add their own custom concrete classes here.
-"""
-
-import abc
-from kubernetes import client, config
-import os
-import urllib3
-from ..utils.kube_api_helpers import _kube_api_error_handling
-
-from typing import Optional
-
-global api_client
-api_client = None
-global config_path
-config_path = None
-
-WORKBENCH_CA_CERT_PATH = "/etc/pki/tls/custom-certs/ca-bundle.crt"
-
-
-class Authentication(metaclass=abc.ABCMeta):
-    """
-    An abstract class that defines the necessary methods for authenticating to a remote environment.
-    Specifically, this class defines the need for a `login()` and a `logout()` function.
-    """
-
-    def login(self):
-        """
-        Method for logging in to a remote cluster.
-        """
-        pass
-
-    def logout(self):
-        """
-        Method for logging out of the remote cluster.
-        """
-        pass
-
-
-class KubeConfiguration(metaclass=abc.ABCMeta):
-    """
-    An abstract class that defines the method for loading a user defined config file using the `load_kube_config()` function
-    """
-
-    def load_kube_config(self):
-        """
-        Method for setting your Kubernetes configuration to a certain file
-        """
-        pass
-
-    def logout(self):
-        """
-        Method for logging out of the remote cluster
-        """
-        pass
-
-
-class TokenAuthentication(Authentication):
-    """
-    `TokenAuthentication` is a subclass of `Authentication`. It can be used to authenticate to a Kubernetes
-    cluster when the user has an API token and the API server address.
-    """
-
-    def __init__(
-        self,
-        token: str,
-        server: str,
-        skip_tls: bool = False,
-        ca_cert_path: str = None,
-    ):
-        """
-        Initialize a TokenAuthentication object that requires a value for `token`, the API Token
-        and `server`, the API server address for authenticating to a Kubernetes cluster.
-        """
-
-        self.token = token
-        self.server = server
-        self.skip_tls = skip_tls
-        self.ca_cert_path = _gen_ca_cert_path(ca_cert_path)
-
-    def login(self) -> str:
-        """
-        This function is used to log in to a Kubernetes cluster using the user's API token and API server address.
-        Depending on the cluster, a user can choose to login in with `--insecure-skip-tls-verify` by setting `skip_tls`
-        to `True` or `--certificate-authority` by setting `skip_tls` to False and providing a path to a ca bundle with `ca_cert_path`.
-        """
-        global config_path
-        global api_client
-        try:
-            configuration = client.Configuration()
-            configuration.api_key_prefix["authorization"] = "Bearer"
-            configuration.host = self.server
-            configuration.api_key["authorization"] = self.token
-
-            api_client = client.ApiClient(configuration)
-            if not self.skip_tls:
-                _client_with_cert(api_client, self.ca_cert_path)
-            else:
-                urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
-                print("Insecure request warnings have been disabled")
-                configuration.verify_ssl = False
-
-            client.AuthenticationApi(api_client).get_api_group()
-            config_path = None
-            return "Logged into %s" % self.server
-        except client.ApiException as e:
-            _kube_api_error_handling(e)
-
-    def logout(self) -> str:
-        """
-        This function is used to logout of a Kubernetes cluster.
-        """
-        global config_path
-        config_path = None
-        global api_client
-        api_client = None
-        return "Successfully logged out of %s" % self.server
-
-
-class KubeConfigFileAuthentication(KubeConfiguration):
-    """
-    A class that defines the necessary methods for passing a user's own Kubernetes config file.
-    Specifically this class defines the `load_kube_config()` and `config_check()` functions.
-    """
-
-    def __init__(self, kube_config_path: str = None):
-        self.kube_config_path = kube_config_path
-
-    def load_kube_config(self):
-        """
-        Function for loading a user's own predefined Kubernetes config file.
-        """
-        global config_path
-        global api_client
-        try:
-            if self.kube_config_path == None:
-                return "Please specify a config file path"
-            config_path = self.kube_config_path
-            api_client = None
-            config.load_kube_config(config_path)
-            response = "Loaded user config file at path %s" % self.kube_config_path
-        except config.ConfigException:  # pragma: no cover
-            config_path = None
-            raise Exception("Please specify a config file path")
-        return response
-
-
-def config_check() -> str:
-    """
-    Function for loading the config file at the default config location ~/.kube/config if the user has not
-    specified their own config file or has logged in with their token and server.
-    """
-    global config_path
-    global api_client
-    home_directory = os.path.expanduser("~")
-    if config_path == None and api_client == None:
-        if os.path.isfile("%s/.kube/config" % home_directory):
-            try:
-                config.load_kube_config()
-            except Exception as e:  # pragma: no cover
-                _kube_api_error_handling(e)
-        elif "KUBERNETES_PORT" in os.environ:
-            try:
-                config.load_incluster_config()
-            except Exception as e:  # pragma: no cover
-                _kube_api_error_handling(e)
-        else:
-            raise PermissionError(
-                "Action not permitted, have you put in correct/up-to-date auth credentials?"
-            )
-
-    if config_path != None and api_client == None:
-        return config_path
-
-
-def _client_with_cert(client: client.ApiClient, ca_cert_path: Optional[str] = None):
-    client.configuration.verify_ssl = True
-    cert_path = _gen_ca_cert_path(ca_cert_path)
-    if cert_path is None:
-        client.configuration.ssl_ca_cert = None
-    elif os.path.isfile(cert_path):
-        client.configuration.ssl_ca_cert = cert_path
-    else:
-        raise FileNotFoundError(f"Certificate file not found at {cert_path}")
-
-
-def _gen_ca_cert_path(ca_cert_path: Optional[str]):
-    """Gets the path to the default CA certificate file either through env config or default path"""
-    if ca_cert_path is not None:
-        return ca_cert_path
-    elif "CF_SDK_CA_CERT_PATH" in os.environ:
-        return os.environ.get("CF_SDK_CA_CERT_PATH")
-    elif os.path.exists(WORKBENCH_CA_CERT_PATH):
-        return WORKBENCH_CA_CERT_PATH
-    else:
-        return None
-
-
-def get_api_client() -> client.ApiClient:
-    "This function should load the api client with defaults"
-    if api_client != None:
-        return api_client
-    to_return = client.ApiClient()
-    _client_with_cert(to_return)
-    return to_return
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Functions
    
-
    
-
    
-def config_check() ‑> str
-
    
-
    
-
    Function for loading the config file at the default config location ~/.kube/config if the user has not
-specified their own config file or has logged in with their token and server.
    
-
    
-
-Expand source code
-
-
    def config_check() -> str:
-    """
-    Function for loading the config file at the default config location ~/.kube/config if the user has not
-    specified their own config file or has logged in with their token and server.
-    """
-    global config_path
-    global api_client
-    home_directory = os.path.expanduser("~")
-    if config_path == None and api_client == None:
-        if os.path.isfile("%s/.kube/config" % home_directory):
-            try:
-                config.load_kube_config()
-            except Exception as e:  # pragma: no cover
-                _kube_api_error_handling(e)
-        elif "KUBERNETES_PORT" in os.environ:
-            try:
-                config.load_incluster_config()
-            except Exception as e:  # pragma: no cover
-                _kube_api_error_handling(e)
-        else:
-            raise PermissionError(
-                "Action not permitted, have you put in correct/up-to-date auth credentials?"
-            )
-
-    if config_path != None and api_client == None:
-        return config_path
    
-
    
-
    
-
    
-def get_api_client() ‑> kubernetes.client.api_client.ApiClient
-
    
-
    
-
    This function should load the api client with defaults
    
-
    
-
-Expand source code
-
-
    def get_api_client() -> client.ApiClient:
-    "This function should load the api client with defaults"
-    if api_client != None:
-        return api_client
-    to_return = client.ApiClient()
-    _client_with_cert(to_return)
-    return to_return
    
-
    
-
    
-
    
-
    
-
    
-
    Classes
    
-
    
-
    
-class Authentication
-
    
-
    
-
    An abstract class that defines the necessary methods for authenticating to a remote environment.
-Specifically, this class defines the need for a login() and a logout() function.
    
-
    
-
-Expand source code
-
-
    class Authentication(metaclass=abc.ABCMeta):
-    """
-    An abstract class that defines the necessary methods for authenticating to a remote environment.
-    Specifically, this class defines the need for a `login()` and a `logout()` function.
-    """
-
-    def login(self):
-        """
-        Method for logging in to a remote cluster.
-        """
-        pass
-
-    def logout(self):
-        """
-        Method for logging out of the remote cluster.
-        """
-        pass
    
-
    
-
    Subclasses
    
-
-
    Methods
    
-
    
-
    
-def login(self)
-
    
-
    
-
    Method for logging in to a remote cluster.
    
-
    
-
-Expand source code
-
-
    def login(self):
-    """
-    Method for logging in to a remote cluster.
-    """
-    pass
    
-
    
-
    
-
    
-def logout(self)
-
    
-
    
-
    Method for logging out of the remote cluster.
    
-
    
-
-Expand source code
-
-
    def logout(self):
-    """
-    Method for logging out of the remote cluster.
-    """
-    pass
    
-
    
-
    
-
    
-
    
-
    
-class KubeConfigFileAuthentication
-(kube_config_path: str = None)
-
    
-
    
-
    A class that defines the necessary methods for passing a user's own Kubernetes config file.
-Specifically this class defines the load_kube_config() and config_check() functions.
    
-
    
-
-Expand source code
-
-
    class KubeConfigFileAuthentication(KubeConfiguration):
-    """
-    A class that defines the necessary methods for passing a user's own Kubernetes config file.
-    Specifically this class defines the `load_kube_config()` and `config_check()` functions.
-    """
-
-    def __init__(self, kube_config_path: str = None):
-        self.kube_config_path = kube_config_path
-
-    def load_kube_config(self):
-        """
-        Function for loading a user's own predefined Kubernetes config file.
-        """
-        global config_path
-        global api_client
-        try:
-            if self.kube_config_path == None:
-                return "Please specify a config file path"
-            config_path = self.kube_config_path
-            api_client = None
-            config.load_kube_config(config_path)
-            response = "Loaded user config file at path %s" % self.kube_config_path
-        except config.ConfigException:  # pragma: no cover
-            config_path = None
-            raise Exception("Please specify a config file path")
-        return response
    
-
    
-
    Ancestors
    
-
-
    Methods
    
-
    
-
    
-def load_kube_config(self)
-
    
-
    
-
    Function for loading a user's own predefined Kubernetes config file.
    
-
    
-
-Expand source code
-
-
    def load_kube_config(self):
-    """
-    Function for loading a user's own predefined Kubernetes config file.
-    """
-    global config_path
-    global api_client
-    try:
-        if self.kube_config_path == None:
-            return "Please specify a config file path"
-        config_path = self.kube_config_path
-        api_client = None
-        config.load_kube_config(config_path)
-        response = "Loaded user config file at path %s" % self.kube_config_path
-    except config.ConfigException:  # pragma: no cover
-        config_path = None
-        raise Exception("Please specify a config file path")
-    return response
    
-
    
-
    
-
    
-
    Inherited members
    
-
-
    
-
    
-class KubeConfiguration
-
    
-
    
-
    An abstract class that defines the method for loading a user defined config file using the load_kube_config() function
    
-
    
-
-Expand source code
-
-
    class KubeConfiguration(metaclass=abc.ABCMeta):
-    """
-    An abstract class that defines the method for loading a user defined config file using the `load_kube_config()` function
-    """
-
-    def load_kube_config(self):
-        """
-        Method for setting your Kubernetes configuration to a certain file
-        """
-        pass
-
-    def logout(self):
-        """
-        Method for logging out of the remote cluster
-        """
-        pass
    
-
    
-
    Subclasses
    
-
-
    Methods
    
-
    
-
    
-def load_kube_config(self)
-
    
-
    
-
    Method for setting your Kubernetes configuration to a certain file
    
-
    
-
-Expand source code
-
-
    def load_kube_config(self):
-    """
-    Method for setting your Kubernetes configuration to a certain file
-    """
-    pass
    
-
    
-
    
-
    
-def logout(self)
-
    
-
    
-
    Method for logging out of the remote cluster
    
-
    
-
-Expand source code
-
-
    def logout(self):
-    """
-    Method for logging out of the remote cluster
-    """
-    pass
    
-
    
-
    
-
    
-
    
-
    
-class TokenAuthentication
-(token: str, server: str, skip_tls: bool = False, ca_cert_path: str = None)
-
    
-
    
-
    TokenAuthentication is a subclass of Authentication. It can be used to authenticate to a Kubernetes
-cluster when the user has an API token and the API server address.
    
-
    Initialize a TokenAuthentication object that requires a value for token, the API Token
-and server, the API server address for authenticating to a Kubernetes cluster.
    
-
    
-
-Expand source code
-
-
    class TokenAuthentication(Authentication):
-    """
-    `TokenAuthentication` is a subclass of `Authentication`. It can be used to authenticate to a Kubernetes
-    cluster when the user has an API token and the API server address.
-    """
-
-    def __init__(
-        self,
-        token: str,
-        server: str,
-        skip_tls: bool = False,
-        ca_cert_path: str = None,
-    ):
-        """
-        Initialize a TokenAuthentication object that requires a value for `token`, the API Token
-        and `server`, the API server address for authenticating to a Kubernetes cluster.
-        """
-
-        self.token = token
-        self.server = server
-        self.skip_tls = skip_tls
-        self.ca_cert_path = _gen_ca_cert_path(ca_cert_path)
-
-    def login(self) -> str:
-        """
-        This function is used to log in to a Kubernetes cluster using the user's API token and API server address.
-        Depending on the cluster, a user can choose to login in with `--insecure-skip-tls-verify` by setting `skip_tls`
-        to `True` or `--certificate-authority` by setting `skip_tls` to False and providing a path to a ca bundle with `ca_cert_path`.
-        """
-        global config_path
-        global api_client
-        try:
-            configuration = client.Configuration()
-            configuration.api_key_prefix["authorization"] = "Bearer"
-            configuration.host = self.server
-            configuration.api_key["authorization"] = self.token
-
-            api_client = client.ApiClient(configuration)
-            if not self.skip_tls:
-                _client_with_cert(api_client, self.ca_cert_path)
-            else:
-                urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
-                print("Insecure request warnings have been disabled")
-                configuration.verify_ssl = False
-
-            client.AuthenticationApi(api_client).get_api_group()
-            config_path = None
-            return "Logged into %s" % self.server
-        except client.ApiException as e:
-            _kube_api_error_handling(e)
-
-    def logout(self) -> str:
-        """
-        This function is used to logout of a Kubernetes cluster.
-        """
-        global config_path
-        config_path = None
-        global api_client
-        api_client = None
-        return "Successfully logged out of %s" % self.server
    
-
    
-
    Ancestors
    
-
-
    Methods
    
-
    
-
    
-def login(self) ‑> str
-
    
-
    
-
    This function is used to log in to a Kubernetes cluster using the user's API token and API server address.
-Depending on the cluster, a user can choose to login in with --insecure-skip-tls-verify by setting skip_tls
-to True or --certificate-authority by setting skip_tls to False and providing a path to a ca bundle with ca_cert_path.
    
-
    
-
-Expand source code
-
-
    def login(self) -> str:
-    """
-    This function is used to log in to a Kubernetes cluster using the user's API token and API server address.
-    Depending on the cluster, a user can choose to login in with `--insecure-skip-tls-verify` by setting `skip_tls`
-    to `True` or `--certificate-authority` by setting `skip_tls` to False and providing a path to a ca bundle with `ca_cert_path`.
-    """
-    global config_path
-    global api_client
-    try:
-        configuration = client.Configuration()
-        configuration.api_key_prefix["authorization"] = "Bearer"
-        configuration.host = self.server
-        configuration.api_key["authorization"] = self.token
-
-        api_client = client.ApiClient(configuration)
-        if not self.skip_tls:
-            _client_with_cert(api_client, self.ca_cert_path)
-        else:
-            urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
-            print("Insecure request warnings have been disabled")
-            configuration.verify_ssl = False
-
-        client.AuthenticationApi(api_client).get_api_group()
-        config_path = None
-        return "Logged into %s" % self.server
-    except client.ApiException as e:
-        _kube_api_error_handling(e)
    
-
    
-
    
-
    
-def logout(self) ‑> str
-
    
-
    
-
    This function is used to logout of a Kubernetes cluster.
    
-
    
-
-Expand source code
-
-
    def logout(self) -> str:
-    """
-    This function is used to logout of a Kubernetes cluster.
-    """
-    global config_path
-    config_path = None
-    global api_client
-    api_client = None
-    return "Successfully logged out of %s" % self.server
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/cluster/awload.html b/docs/detailed-documentation/cluster/awload.html
deleted file mode 100644
index fba18e3f..00000000
--- a/docs/detailed-documentation/cluster/awload.html
+++ /dev/null
@@ -1,328 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.cluster.awload API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.cluster.awload
    
-
    
-
    
-
    The awload sub-module contains the definition of the AWManager object, which handles
-submission and deletion of existing AppWrappers from a user's file system.
    
-
    
-
-Expand source code
-
-
    # Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-The awload sub-module contains the definition of the AWManager object, which handles
-submission and deletion of existing AppWrappers from a user's file system.
-"""
-
-from os.path import isfile
-import errno
-import os
-import yaml
-
-from kubernetes import client, config
-from ..utils.kube_api_helpers import _kube_api_error_handling
-from .auth import config_check, get_api_client
-
-
-class AWManager:
-    """
-    An object for submitting and removing existing AppWrapper yamls
-    to be added to the Kueue localqueue.
-    """
-
-    def __init__(self, filename: str) -> None:
-        """
-        Create the AppWrapper Manager object by passing in an
-        AppWrapper yaml file
-        """
-        if not isfile(filename):
-            raise FileNotFoundError(errno.ENOENT, os.strerror(errno.ENOENT), filename)
-        self.filename = filename
-        try:
-            with open(self.filename) as f:
-                self.awyaml = yaml.load(f, Loader=yaml.FullLoader)
-            assert self.awyaml["kind"] == "AppWrapper"
-            self.name = self.awyaml["metadata"]["name"]
-            self.namespace = self.awyaml["metadata"]["namespace"]
-        except:
-            raise ValueError(
-                f"{filename } is not a correctly formatted AppWrapper yaml"
-            )
-        self.submitted = False
-
-    def submit(self) -> None:
-        """
-        Attempts to create the AppWrapper custom resource using the yaml file
-        """
-        try:
-            config_check()
-            api_instance = client.CustomObjectsApi(get_api_client())
-            api_instance.create_namespaced_custom_object(
-                group="workload.codeflare.dev",
-                version="v1beta2",
-                namespace=self.namespace,
-                plural="appwrappers",
-                body=self.awyaml,
-            )
-        except Exception as e:
-            return _kube_api_error_handling(e)
-
-        self.submitted = True
-        print(f"AppWrapper {self.filename} submitted!")
-
-    def remove(self) -> None:
-        """
-        Attempts to delete the AppWrapper custom resource matching the name in the yaml,
-        if submitted by this manager.
-        """
-        if not self.submitted:
-            print("AppWrapper not submitted by this manager yet, nothing to remove")
-            return
-
-        try:
-            config_check()
-            api_instance = client.CustomObjectsApi(get_api_client())
-            api_instance.delete_namespaced_custom_object(
-                group="workload.codeflare.dev",
-                version="v1beta2",
-                namespace=self.namespace,
-                plural="appwrappers",
-                name=self.name,
-            )
-        except Exception as e:
-            return _kube_api_error_handling(e)
-
-        self.submitted = False
-        print(f"AppWrapper {self.name} removed!")
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Classes
    
-
    
-
    
-class AWManager
-(filename: str)
-
    
-
    
-
    An object for submitting and removing existing AppWrapper yamls
-to be added to the Kueue localqueue.
    
-
    Create the AppWrapper Manager object by passing in an
-AppWrapper yaml file
    
-
    
-
-Expand source code
-
-
    class AWManager:
-    """
-    An object for submitting and removing existing AppWrapper yamls
-    to be added to the Kueue localqueue.
-    """
-
-    def __init__(self, filename: str) -> None:
-        """
-        Create the AppWrapper Manager object by passing in an
-        AppWrapper yaml file
-        """
-        if not isfile(filename):
-            raise FileNotFoundError(errno.ENOENT, os.strerror(errno.ENOENT), filename)
-        self.filename = filename
-        try:
-            with open(self.filename) as f:
-                self.awyaml = yaml.load(f, Loader=yaml.FullLoader)
-            assert self.awyaml["kind"] == "AppWrapper"
-            self.name = self.awyaml["metadata"]["name"]
-            self.namespace = self.awyaml["metadata"]["namespace"]
-        except:
-            raise ValueError(
-                f"{filename } is not a correctly formatted AppWrapper yaml"
-            )
-        self.submitted = False
-
-    def submit(self) -> None:
-        """
-        Attempts to create the AppWrapper custom resource using the yaml file
-        """
-        try:
-            config_check()
-            api_instance = client.CustomObjectsApi(get_api_client())
-            api_instance.create_namespaced_custom_object(
-                group="workload.codeflare.dev",
-                version="v1beta2",
-                namespace=self.namespace,
-                plural="appwrappers",
-                body=self.awyaml,
-            )
-        except Exception as e:
-            return _kube_api_error_handling(e)
-
-        self.submitted = True
-        print(f"AppWrapper {self.filename} submitted!")
-
-    def remove(self) -> None:
-        """
-        Attempts to delete the AppWrapper custom resource matching the name in the yaml,
-        if submitted by this manager.
-        """
-        if not self.submitted:
-            print("AppWrapper not submitted by this manager yet, nothing to remove")
-            return
-
-        try:
-            config_check()
-            api_instance = client.CustomObjectsApi(get_api_client())
-            api_instance.delete_namespaced_custom_object(
-                group="workload.codeflare.dev",
-                version="v1beta2",
-                namespace=self.namespace,
-                plural="appwrappers",
-                name=self.name,
-            )
-        except Exception as e:
-            return _kube_api_error_handling(e)
-
-        self.submitted = False
-        print(f"AppWrapper {self.name} removed!")
    
-
    
-
    Methods
    
-
    
-
    
-def remove(self) ‑> None
-
    
-
    
-
    Attempts to delete the AppWrapper custom resource matching the name in the yaml,
-if submitted by this manager.
    
-
    
-
-Expand source code
-
-
    def remove(self) -> None:
-    """
-    Attempts to delete the AppWrapper custom resource matching the name in the yaml,
-    if submitted by this manager.
-    """
-    if not self.submitted:
-        print("AppWrapper not submitted by this manager yet, nothing to remove")
-        return
-
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        api_instance.delete_namespaced_custom_object(
-            group="workload.codeflare.dev",
-            version="v1beta2",
-            namespace=self.namespace,
-            plural="appwrappers",
-            name=self.name,
-        )
-    except Exception as e:
-        return _kube_api_error_handling(e)
-
-    self.submitted = False
-    print(f"AppWrapper {self.name} removed!")
    
-
    
-
    
-
    
-def submit(self) ‑> None
-
    
-
    
-
    Attempts to create the AppWrapper custom resource using the yaml file
    
-
    
-
-Expand source code
-
-
    def submit(self) -> None:
-    """
-    Attempts to create the AppWrapper custom resource using the yaml file
-    """
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        api_instance.create_namespaced_custom_object(
-            group="workload.codeflare.dev",
-            version="v1beta2",
-            namespace=self.namespace,
-            plural="appwrappers",
-            body=self.awyaml,
-        )
-    except Exception as e:
-        return _kube_api_error_handling(e)
-
-    self.submitted = True
-    print(f"AppWrapper {self.filename} submitted!")
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/cluster/cluster.html b/docs/detailed-documentation/cluster/cluster.html
deleted file mode 100644
index 12865c04..00000000
--- a/docs/detailed-documentation/cluster/cluster.html
+++ /dev/null
@@ -1,2174 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.cluster.cluster API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.cluster.cluster
    
-
    
-
    
-
    The cluster sub-module contains the definition of the Cluster object, which represents
-the resources requested by the user. It also contains functions for checking the
-cluster setup queue, a list of all existing clusters, and the user's working namespace.
    
-
    
-
-Expand source code
-
-
    # Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-The cluster sub-module contains the definition of the Cluster object, which represents
-the resources requested by the user. It also contains functions for checking the
-cluster setup queue, a list of all existing clusters, and the user's working namespace.
-"""
-
-import re
-import subprocess
-from time import sleep
-from typing import List, Optional, Tuple, Dict
-
-from kubernetes import config
-from ray.job_submission import JobSubmissionClient
-
-from .auth import config_check, get_api_client
-from ..utils import pretty_print
-from ..utils.generate_yaml import (
-    generate_appwrapper,
-    head_worker_gpu_count_from_cluster,
-)
-from ..utils.kube_api_helpers import _kube_api_error_handling
-from ..utils.generate_yaml import is_openshift_cluster
-
-from .config import ClusterConfiguration
-from .model import (
-    AppWrapper,
-    AppWrapperStatus,
-    CodeFlareClusterStatus,
-    RayCluster,
-    RayClusterStatus,
-)
-from .widgets import (
-    cluster_up_down_buttons,
-    is_notebook,
-)
-from kubernetes import client, config
-from kubernetes.utils import parse_quantity
-import yaml
-import os
-import requests
-
-from kubernetes import config
-from kubernetes.client.rest import ApiException
-
-
-class Cluster:
-    """
-    An object for requesting, bringing up, and taking down resources.
-    Can also be used for seeing the resource cluster status and details.
-
-    Note that currently, the underlying implementation is a Ray cluster.
-    """
-
-    def __init__(self, config: ClusterConfiguration):
-        """
-        Create the resource cluster object by passing in a ClusterConfiguration
-        (defined in the config sub-module). An AppWrapper will then be generated
-        based off of the configured resources to represent the desired cluster
-        request.
-        """
-        self.config = config
-        self.app_wrapper_yaml = self.create_app_wrapper()
-        self._job_submission_client = None
-        self.app_wrapper_name = self.config.name
-        if is_notebook():
-            cluster_up_down_buttons(self)
-
-    @property
-    def _client_headers(self):
-        k8_client = get_api_client()
-        return {
-            "Authorization": k8_client.configuration.get_api_key_with_prefix(
-                "authorization"
-            )
-        }
-
-    @property
-    def _client_verify_tls(self):
-        if not is_openshift_cluster or not self.config.verify_tls:
-            return False
-        return True
-
-    @property
-    def job_client(self):
-        k8client = get_api_client()
-        if self._job_submission_client:
-            return self._job_submission_client
-        if is_openshift_cluster():
-            self._job_submission_client = JobSubmissionClient(
-                self.cluster_dashboard_uri(),
-                headers=self._client_headers,
-                verify=self._client_verify_tls,
-            )
-        else:
-            self._job_submission_client = JobSubmissionClient(
-                self.cluster_dashboard_uri()
-            )
-        return self._job_submission_client
-
-    def create_app_wrapper(self):
-        """
-        Called upon cluster object creation, creates an AppWrapper yaml based on
-        the specifications of the ClusterConfiguration.
-        """
-
-        if self.config.namespace is None:
-            self.config.namespace = get_current_namespace()
-            if self.config.namespace is None:
-                print("Please specify with namespace=<your_current_namespace>")
-            elif type(self.config.namespace) is not str:
-                raise TypeError(
-                    f"Namespace {self.config.namespace} is of type {type(self.config.namespace)}. Check your Kubernetes Authentication."
-                )
-
-        return generate_appwrapper(self)
-
-    # creates a new cluster with the provided or default spec
-    def up(self):
-        """
-        Applies the Cluster yaml, pushing the resource request onto
-        the Kueue localqueue.
-        """
-
-        # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError
-        self._throw_for_no_raycluster()
-
-        namespace = self.config.namespace
-
-        try:
-            config_check()
-            api_instance = client.CustomObjectsApi(get_api_client())
-            if self.config.appwrapper:
-                if self.config.write_to_file:
-                    with open(self.app_wrapper_yaml) as f:
-                        aw = yaml.load(f, Loader=yaml.FullLoader)
-                        api_instance.create_namespaced_custom_object(
-                            group="workload.codeflare.dev",
-                            version="v1beta2",
-                            namespace=namespace,
-                            plural="appwrappers",
-                            body=aw,
-                        )
-                else:
-                    aw = yaml.safe_load(self.app_wrapper_yaml)
-                    api_instance.create_namespaced_custom_object(
-                        group="workload.codeflare.dev",
-                        version="v1beta2",
-                        namespace=namespace,
-                        plural="appwrappers",
-                        body=aw,
-                    )
-                print(f"AppWrapper: '{self.config.name}' has successfully been created")
-            else:
-                self._component_resources_up(namespace, api_instance)
-                print(
-                    f"Ray Cluster: '{self.config.name}' has successfully been created"
-                )
-        except Exception as e:  # pragma: no cover
-            return _kube_api_error_handling(e)
-
-    def _throw_for_no_raycluster(self):
-        api_instance = client.CustomObjectsApi(get_api_client())
-        try:
-            api_instance.list_namespaced_custom_object(
-                group="ray.io",
-                version="v1",
-                namespace=self.config.namespace,
-                plural="rayclusters",
-            )
-        except ApiException as e:
-            if e.status == 404:
-                raise RuntimeError(
-                    "RayCluster CustomResourceDefinition unavailable contact your administrator."
-                )
-            else:
-                raise RuntimeError(
-                    "Failed to get RayCluster CustomResourceDefinition: " + str(e)
-                )
-
-    def down(self):
-        """
-        Deletes the AppWrapper yaml, scaling-down and deleting all resources
-        associated with the cluster.
-        """
-        namespace = self.config.namespace
-        self._throw_for_no_raycluster()
-        try:
-            config_check()
-            api_instance = client.CustomObjectsApi(get_api_client())
-            if self.config.appwrapper:
-                api_instance.delete_namespaced_custom_object(
-                    group="workload.codeflare.dev",
-                    version="v1beta2",
-                    namespace=namespace,
-                    plural="appwrappers",
-                    name=self.app_wrapper_name,
-                )
-                print(f"AppWrapper: '{self.config.name}' has successfully been deleted")
-            else:
-                self._component_resources_down(namespace, api_instance)
-                print(
-                    f"Ray Cluster: '{self.config.name}' has successfully been deleted"
-                )
-        except Exception as e:  # pragma: no cover
-            return _kube_api_error_handling(e)
-
-    def status(
-        self, print_to_console: bool = True
-    ) -> Tuple[CodeFlareClusterStatus, bool]:
-        """
-        Returns the requested cluster's status, as well as whether or not
-        it is ready for use.
-        """
-        ready = False
-        status = CodeFlareClusterStatus.UNKNOWN
-        if self.config.appwrapper:
-            # check the app wrapper status
-            appwrapper = _app_wrapper_status(self.config.name, self.config.namespace)
-            if appwrapper:
-                if appwrapper.status in [
-                    AppWrapperStatus.RESUMING,
-                    AppWrapperStatus.RESETTING,
-                ]:
-                    ready = False
-                    status = CodeFlareClusterStatus.STARTING
-                elif appwrapper.status in [
-                    AppWrapperStatus.FAILED,
-                ]:
-                    ready = False
-                    status = CodeFlareClusterStatus.FAILED  # should deleted be separate
-                    return status, ready  # exit early, no need to check ray status
-                elif appwrapper.status in [
-                    AppWrapperStatus.SUSPENDED,
-                    AppWrapperStatus.SUSPENDING,
-                ]:
-                    ready = False
-                    if appwrapper.status == AppWrapperStatus.SUSPENDED:
-                        status = CodeFlareClusterStatus.QUEUED
-                    else:
-                        status = CodeFlareClusterStatus.QUEUEING
-                    if print_to_console:
-                        pretty_print.print_app_wrappers_status([appwrapper])
-                    return (
-                        status,
-                        ready,
-                    )  # no need to check the ray status since still in queue
-
-        # check the ray cluster status
-        cluster = _ray_cluster_status(self.config.name, self.config.namespace)
-        if cluster:
-            if cluster.status == RayClusterStatus.SUSPENDED:
-                ready = False
-                status = CodeFlareClusterStatus.SUSPENDED
-            if cluster.status == RayClusterStatus.UNKNOWN:
-                ready = False
-                status = CodeFlareClusterStatus.STARTING
-            if cluster.status == RayClusterStatus.READY:
-                ready = True
-                status = CodeFlareClusterStatus.READY
-            elif cluster.status in [
-                RayClusterStatus.UNHEALTHY,
-                RayClusterStatus.FAILED,
-            ]:
-                ready = False
-                status = CodeFlareClusterStatus.FAILED
-
-            if print_to_console:
-                # overriding the number of gpus with requested
-                _, cluster.worker_gpu = head_worker_gpu_count_from_cluster(self)
-                pretty_print.print_cluster_status(cluster)
-        elif print_to_console:
-            if status == CodeFlareClusterStatus.UNKNOWN:
-                pretty_print.print_no_resources_found()
-            else:
-                pretty_print.print_app_wrappers_status([appwrapper], starting=True)
-
-        return status, ready
-
-    def is_dashboard_ready(self) -> bool:
-        try:
-            response = requests.get(
-                self.cluster_dashboard_uri(),
-                headers=self._client_headers,
-                timeout=5,
-                verify=self._client_verify_tls,
-            )
-        except requests.exceptions.SSLError:  # pragma no cover
-            # SSL exception occurs when oauth ingress has been created but cluster is not up
-            return False
-        if response.status_code == 200:
-            return True
-        else:
-            return False
-
-    def wait_ready(self, timeout: Optional[int] = None, dashboard_check: bool = True):
-        """
-        Waits for requested cluster to be ready, up to an optional timeout (s).
-        Checks every five seconds.
-        """
-        print("Waiting for requested resources to be set up...")
-        time = 0
-        while True:
-            if timeout and time >= timeout:
-                raise TimeoutError(
-                    f"wait() timed out after waiting {timeout}s for cluster to be ready"
-                )
-            status, ready = self.status(print_to_console=False)
-            if status == CodeFlareClusterStatus.UNKNOWN:
-                print(
-                    "WARNING: Current cluster status is unknown, have you run cluster.up yet?"
-                )
-            if ready:
-                break
-            sleep(5)
-            time += 5
-        print("Requested cluster is up and running!")
-
-        while dashboard_check:
-            if timeout and time >= timeout:
-                raise TimeoutError(
-                    f"wait() timed out after waiting {timeout}s for dashboard to be ready"
-                )
-            if self.is_dashboard_ready():
-                print("Dashboard is ready!")
-                break
-            sleep(5)
-            time += 5
-
-    def details(self, print_to_console: bool = True) -> RayCluster:
-        cluster = _copy_to_ray(self)
-        if print_to_console:
-            pretty_print.print_clusters([cluster])
-        return cluster
-
-    def cluster_uri(self) -> str:
-        """
-        Returns a string containing the cluster's URI.
-        """
-        return f"ray://{self.config.name}-head-svc.{self.config.namespace}.svc:10001"
-
-    def cluster_dashboard_uri(self) -> str:
-        """
-        Returns a string containing the cluster's dashboard URI.
-        """
-        config_check()
-        if is_openshift_cluster():
-            try:
-                api_instance = client.CustomObjectsApi(get_api_client())
-                routes = api_instance.list_namespaced_custom_object(
-                    group="route.openshift.io",
-                    version="v1",
-                    namespace=self.config.namespace,
-                    plural="routes",
-                )
-            except Exception as e:  # pragma: no cover
-                return _kube_api_error_handling(e)
-
-            for route in routes["items"]:
-                if route["metadata"][
-                    "name"
-                ] == f"ray-dashboard-{self.config.name}" or route["metadata"][
-                    "name"
-                ].startswith(
-                    f"{self.config.name}-ingress"
-                ):
-                    protocol = "https" if route["spec"].get("tls") else "http"
-                    return f"{protocol}://{route['spec']['host']}"
-        else:
-            try:
-                api_instance = client.NetworkingV1Api(get_api_client())
-                ingresses = api_instance.list_namespaced_ingress(self.config.namespace)
-            except Exception as e:  # pragma no cover
-                return _kube_api_error_handling(e)
-
-            for ingress in ingresses.items:
-                annotations = ingress.metadata.annotations
-                protocol = "http"
-                if (
-                    ingress.metadata.name == f"ray-dashboard-{self.config.name}"
-                    or ingress.metadata.name.startswith(f"{self.config.name}-ingress")
-                ):
-                    if annotations == None:
-                        protocol = "http"
-                    elif "route.openshift.io/termination" in annotations:
-                        protocol = "https"
-                return f"{protocol}://{ingress.spec.rules[0].host}"
-        return "Dashboard not available yet, have you run cluster.up()?"
-
-    def list_jobs(self) -> List:
-        """
-        This method accesses the head ray node in your cluster and lists the running jobs.
-        """
-        return self.job_client.list_jobs()
-
-    def job_status(self, job_id: str) -> str:
-        """
-        This method accesses the head ray node in your cluster and returns the job status for the provided job id.
-        """
-        return self.job_client.get_job_status(job_id)
-
-    def job_logs(self, job_id: str) -> str:
-        """
-        This method accesses the head ray node in your cluster and returns the logs for the provided job id.
-        """
-        return self.job_client.get_job_logs(job_id)
-
-    @staticmethod
-    def _head_worker_extended_resources_from_rc_dict(rc: Dict) -> Tuple[dict, dict]:
-        head_extended_resources, worker_extended_resources = {}, {}
-        for resource in rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["limits"].keys():
-            if resource in ["memory", "cpu"]:
-                continue
-            worker_extended_resources[resource] = rc["spec"]["workerGroupSpecs"][0][
-                "template"
-            ]["spec"]["containers"][0]["resources"]["limits"][resource]
-
-        for resource in rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][
-            0
-        ]["resources"]["limits"].keys():
-            if resource in ["memory", "cpu"]:
-                continue
-            head_extended_resources[resource] = rc["spec"]["headGroupSpec"]["template"][
-                "spec"
-            ]["containers"][0]["resources"]["limits"][resource]
-
-        return head_extended_resources, worker_extended_resources
-
-    def from_k8_cluster_object(
-        rc,
-        appwrapper=True,
-        write_to_file=False,
-        verify_tls=True,
-    ):
-        config_check()
-        machine_types = (
-            rc["metadata"]["labels"]["orderedinstance"].split("_")
-            if "orderedinstance" in rc["metadata"]["labels"]
-            else []
-        )
-
-        (
-            head_extended_resources,
-            worker_extended_resources,
-        ) = Cluster._head_worker_extended_resources_from_rc_dict(rc)
-
-        cluster_config = ClusterConfiguration(
-            name=rc["metadata"]["name"],
-            namespace=rc["metadata"]["namespace"],
-            machine_types=machine_types,
-            head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["requests"]["cpu"],
-            head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["cpu"],
-            head_memory_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["requests"]["memory"],
-            head_memory_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["memory"],
-            num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"],
-            worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["requests"]["cpu"],
-            worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["cpu"],
-            worker_memory_requests=rc["spec"]["workerGroupSpecs"][0]["template"][
-                "spec"
-            ]["containers"][0]["resources"]["requests"]["memory"],
-            worker_memory_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["memory"],
-            worker_extended_resource_requests=worker_extended_resources,
-            head_extended_resource_requests=head_extended_resources,
-            image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][
-                0
-            ]["image"],
-            appwrapper=appwrapper,
-            write_to_file=write_to_file,
-            verify_tls=verify_tls,
-            local_queue=rc["metadata"]
-            .get("labels", dict())
-            .get("kueue.x-k8s.io/queue-name", None),
-        )
-        return Cluster(cluster_config)
-
-    def local_client_url(self):
-        ingress_domain = _get_ingress_domain(self)
-        return f"ray://{ingress_domain}"
-
-    def _component_resources_up(
-        self, namespace: str, api_instance: client.CustomObjectsApi
-    ):
-        if self.config.write_to_file:
-            with open(self.app_wrapper_yaml) as f:
-                yamls = list(yaml.load_all(f, Loader=yaml.FullLoader))
-                for resource in yamls:
-                    enable_ingress = (
-                        resource.get("spec", {})
-                        .get("headGroupSpec", {})
-                        .get("enableIngress")
-                    )
-                    if resource["kind"] == "RayCluster" and enable_ingress is True:
-                        name = resource["metadata"]["name"]
-                        print(
-                            f"Forbidden: RayCluster '{name}' has 'enableIngress' set to 'True'."
-                        )
-                        return
-                _create_resources(yamls, namespace, api_instance)
-        else:
-            yamls = yaml.load_all(self.app_wrapper_yaml, Loader=yaml.FullLoader)
-            _create_resources(yamls, namespace, api_instance)
-
-    def _component_resources_down(
-        self, namespace: str, api_instance: client.CustomObjectsApi
-    ):
-        cluster_name = self.config.name
-        if self.config.write_to_file:
-            with open(self.app_wrapper_yaml) as f:
-                yamls = yaml.load_all(f, Loader=yaml.FullLoader)
-                _delete_resources(yamls, namespace, api_instance, cluster_name)
-        else:
-            yamls = yaml.safe_load_all(self.app_wrapper_yaml)
-            _delete_resources(yamls, namespace, api_instance, cluster_name)
-
-
-def list_all_clusters(namespace: str, print_to_console: bool = True):
-    """
-    Returns (and prints by default) a list of all clusters in a given namespace.
-    """
-    clusters = _get_ray_clusters(namespace)
-    if print_to_console:
-        pretty_print.print_clusters(clusters)
-    return clusters
-
-
-def list_all_queued(
-    namespace: str, print_to_console: bool = True, appwrapper: bool = False
-):
-    """
-    Returns (and prints by default) a list of all currently queued-up Ray Clusters
-    in a given namespace.
-    """
-    if appwrapper:
-        resources = _get_app_wrappers(namespace, filter=[AppWrapperStatus.SUSPENDED])
-        if print_to_console:
-            pretty_print.print_app_wrappers_status(resources)
-    else:
-        resources = _get_ray_clusters(
-            namespace, filter=[RayClusterStatus.READY, RayClusterStatus.SUSPENDED]
-        )
-        if print_to_console:
-            pretty_print.print_ray_clusters_status(resources)
-    return resources
-
-
-def get_current_namespace():  # pragma: no cover
-    if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"):
-        try:
-            file = open("/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r")
-            active_context = file.readline().strip("\n")
-            return active_context
-        except Exception as e:
-            print("Unable to find current namespace")
-    print("trying to gather from current context")
-    try:
-        _, active_context = config.list_kube_config_contexts(config_check())
-    except Exception as e:
-        return _kube_api_error_handling(e)
-    try:
-        return active_context["context"]["namespace"]
-    except KeyError:
-        return None
-
-
-def get_cluster(
-    cluster_name: str,
-    namespace: str = "default",
-    write_to_file: bool = False,
-    verify_tls: bool = True,
-):
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        rcs = api_instance.list_namespaced_custom_object(
-            group="ray.io",
-            version="v1",
-            namespace=namespace,
-            plural="rayclusters",
-        )
-    except Exception as e:
-        return _kube_api_error_handling(e)
-
-    for rc in rcs["items"]:
-        if rc["metadata"]["name"] == cluster_name:
-            appwrapper = _check_aw_exists(cluster_name, namespace)
-            return Cluster.from_k8_cluster_object(
-                rc,
-                appwrapper=appwrapper,
-                write_to_file=write_to_file,
-                verify_tls=verify_tls,
-            )
-    raise FileNotFoundError(
-        f"Cluster {cluster_name} is not found in {namespace} namespace"
-    )
-
-
-# private methods
-def _delete_resources(
-    yamls, namespace: str, api_instance: client.CustomObjectsApi, cluster_name: str
-):
-    for resource in yamls:
-        if resource["kind"] == "RayCluster":
-            name = resource["metadata"]["name"]
-            api_instance.delete_namespaced_custom_object(
-                group="ray.io",
-                version="v1",
-                namespace=namespace,
-                plural="rayclusters",
-                name=name,
-            )
-
-
-def _create_resources(yamls, namespace: str, api_instance: client.CustomObjectsApi):
-    for resource in yamls:
-        if resource["kind"] == "RayCluster":
-            api_instance.create_namespaced_custom_object(
-                group="ray.io",
-                version="v1",
-                namespace=namespace,
-                plural="rayclusters",
-                body=resource,
-            )
-
-
-def _check_aw_exists(name: str, namespace: str) -> bool:
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        aws = api_instance.list_namespaced_custom_object(
-            group="workload.codeflare.dev",
-            version="v1beta2",
-            namespace=namespace,
-            plural="appwrappers",
-        )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e, print_error=False)
-    for aw in aws["items"]:
-        if aw["metadata"]["name"] == name:
-            return True
-    return False
-
-
-# Cant test this until get_current_namespace is fixed and placed in this function over using `self`
-def _get_ingress_domain(self):  # pragma: no cover
-    config_check()
-
-    if self.config.namespace != None:
-        namespace = self.config.namespace
-    else:
-        namespace = get_current_namespace()
-    domain = None
-
-    if is_openshift_cluster():
-        try:
-            api_instance = client.CustomObjectsApi(get_api_client())
-
-            routes = api_instance.list_namespaced_custom_object(
-                group="route.openshift.io",
-                version="v1",
-                namespace=namespace,
-                plural="routes",
-            )
-        except Exception as e:  # pragma: no cover
-            return _kube_api_error_handling(e)
-
-        for route in routes["items"]:
-            if (
-                route["spec"]["port"]["targetPort"] == "client"
-                or route["spec"]["port"]["targetPort"] == 10001
-            ):
-                domain = route["spec"]["host"]
-    else:
-        try:
-            api_client = client.NetworkingV1Api(get_api_client())
-            ingresses = api_client.list_namespaced_ingress(namespace)
-        except Exception as e:  # pragma: no cover
-            return _kube_api_error_handling(e)
-
-        for ingress in ingresses.items:
-            if ingress.spec.rules[0].http.paths[0].backend.service.port.number == 10001:
-                domain = ingress.spec.rules[0].host
-    return domain
-
-
-def _app_wrapper_status(name, namespace="default") -> Optional[AppWrapper]:
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        aws = api_instance.list_namespaced_custom_object(
-            group="workload.codeflare.dev",
-            version="v1beta2",
-            namespace=namespace,
-            plural="appwrappers",
-        )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-
-    for aw in aws["items"]:
-        if aw["metadata"]["name"] == name:
-            return _map_to_app_wrapper(aw)
-    return None
-
-
-def _ray_cluster_status(name, namespace="default") -> Optional[RayCluster]:
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        rcs = api_instance.list_namespaced_custom_object(
-            group="ray.io",
-            version="v1",
-            namespace=namespace,
-            plural="rayclusters",
-        )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-
-    for rc in rcs["items"]:
-        if rc["metadata"]["name"] == name:
-            return _map_to_ray_cluster(rc)
-    return None
-
-
-def _get_ray_clusters(
-    namespace="default", filter: Optional[List[RayClusterStatus]] = None
-) -> List[RayCluster]:
-    list_of_clusters = []
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        rcs = api_instance.list_namespaced_custom_object(
-            group="ray.io",
-            version="v1",
-            namespace=namespace,
-            plural="rayclusters",
-        )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-
-    # Get a list of RCs with the filter if it is passed to the function
-    if filter is not None:
-        for rc in rcs["items"]:
-            ray_cluster = _map_to_ray_cluster(rc)
-            if filter and ray_cluster.status in filter:
-                list_of_clusters.append(ray_cluster)
-    else:
-        for rc in rcs["items"]:
-            list_of_clusters.append(_map_to_ray_cluster(rc))
-    return list_of_clusters
-
-
-def _get_app_wrappers(
-    namespace="default", filter=List[AppWrapperStatus]
-) -> List[AppWrapper]:
-    list_of_app_wrappers = []
-
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        aws = api_instance.list_namespaced_custom_object(
-            group="workload.codeflare.dev",
-            version="v1beta2",
-            namespace=namespace,
-            plural="appwrappers",
-        )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-
-    for item in aws["items"]:
-        app_wrapper = _map_to_app_wrapper(item)
-        if filter and app_wrapper.status in filter:
-            list_of_app_wrappers.append(app_wrapper)
-        else:
-            # Unsure what the purpose of the filter is
-            list_of_app_wrappers.append(app_wrapper)
-    return list_of_app_wrappers
-
-
-def _map_to_ray_cluster(rc) -> Optional[RayCluster]:
-    if "status" in rc and "state" in rc["status"]:
-        status = RayClusterStatus(rc["status"]["state"].lower())
-    else:
-        status = RayClusterStatus.UNKNOWN
-    config_check()
-    dashboard_url = None
-    if is_openshift_cluster():
-        try:
-            api_instance = client.CustomObjectsApi(get_api_client())
-            routes = api_instance.list_namespaced_custom_object(
-                group="route.openshift.io",
-                version="v1",
-                namespace=rc["metadata"]["namespace"],
-                plural="routes",
-            )
-        except Exception as e:  # pragma: no cover
-            return _kube_api_error_handling(e)
-
-        for route in routes["items"]:
-            rc_name = rc["metadata"]["name"]
-            if route["metadata"]["name"] == f"ray-dashboard-{rc_name}" or route[
-                "metadata"
-            ]["name"].startswith(f"{rc_name}-ingress"):
-                protocol = "https" if route["spec"].get("tls") else "http"
-                dashboard_url = f"{protocol}://{route['spec']['host']}"
-    else:
-        try:
-            api_instance = client.NetworkingV1Api(get_api_client())
-            ingresses = api_instance.list_namespaced_ingress(
-                rc["metadata"]["namespace"]
-            )
-        except Exception as e:  # pragma no cover
-            return _kube_api_error_handling(e)
-        for ingress in ingresses.items:
-            annotations = ingress.metadata.annotations
-            protocol = "http"
-            if (
-                ingress.metadata.name == f"ray-dashboard-{rc['metadata']['name']}"
-                or ingress.metadata.name.startswith(f"{rc['metadata']['name']}-ingress")
-            ):
-                if annotations == None:
-                    protocol = "http"
-                elif "route.openshift.io/termination" in annotations:
-                    protocol = "https"
-            dashboard_url = f"{protocol}://{ingress.spec.rules[0].host}"
-
-    (
-        head_extended_resources,
-        worker_extended_resources,
-    ) = Cluster._head_worker_extended_resources_from_rc_dict(rc)
-
-    return RayCluster(
-        name=rc["metadata"]["name"],
-        status=status,
-        # for now we are not using autoscaling so same replicas is fine
-        num_workers=rc["spec"]["workerGroupSpecs"][0]["replicas"],
-        worker_mem_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["limits"]["memory"],
-        worker_mem_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["requests"]["memory"],
-        worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["requests"]["cpu"],
-        worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["limits"]["cpu"],
-        worker_extended_resources=worker_extended_resources,
-        namespace=rc["metadata"]["namespace"],
-        head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][
-            0
-        ]["resources"]["requests"]["cpu"],
-        head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][
-            0
-        ]["resources"]["limits"]["cpu"],
-        head_mem_requests=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][
-            0
-        ]["resources"]["requests"]["memory"],
-        head_mem_limits=rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][
-            0
-        ]["resources"]["limits"]["memory"],
-        head_extended_resources=head_extended_resources,
-        dashboard=dashboard_url,
-    )
-
-
-def _map_to_app_wrapper(aw) -> AppWrapper:
-    if "status" in aw:
-        return AppWrapper(
-            name=aw["metadata"]["name"],
-            status=AppWrapperStatus(aw["status"]["phase"].lower()),
-        )
-    return AppWrapper(
-        name=aw["metadata"]["name"],
-        status=AppWrapperStatus("suspended"),
-    )
-
-
-def _copy_to_ray(cluster: Cluster) -> RayCluster:
-    ray = RayCluster(
-        name=cluster.config.name,
-        status=cluster.status(print_to_console=False)[0],
-        num_workers=cluster.config.num_workers,
-        worker_mem_requests=cluster.config.worker_memory_requests,
-        worker_mem_limits=cluster.config.worker_memory_limits,
-        worker_cpu_requests=cluster.config.worker_cpu_requests,
-        worker_cpu_limits=cluster.config.worker_cpu_limits,
-        worker_extended_resources=cluster.config.worker_extended_resource_requests,
-        namespace=cluster.config.namespace,
-        dashboard=cluster.cluster_dashboard_uri(),
-        head_mem_requests=cluster.config.head_memory_requests,
-        head_mem_limits=cluster.config.head_memory_limits,
-        head_cpu_requests=cluster.config.head_cpu_requests,
-        head_cpu_limits=cluster.config.head_cpu_limits,
-        head_extended_resources=cluster.config.head_extended_resource_requests,
-    )
-    if ray.status == CodeFlareClusterStatus.READY:
-        ray.status = RayClusterStatus.READY
-    return ray
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Functions
    
-
    
-
    
-def get_cluster(cluster_name: str, namespace: str = 'default', write_to_file: bool = False, verify_tls: bool = True)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def get_cluster(
-    cluster_name: str,
-    namespace: str = "default",
-    write_to_file: bool = False,
-    verify_tls: bool = True,
-):
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        rcs = api_instance.list_namespaced_custom_object(
-            group="ray.io",
-            version="v1",
-            namespace=namespace,
-            plural="rayclusters",
-        )
-    except Exception as e:
-        return _kube_api_error_handling(e)
-
-    for rc in rcs["items"]:
-        if rc["metadata"]["name"] == cluster_name:
-            appwrapper = _check_aw_exists(cluster_name, namespace)
-            return Cluster.from_k8_cluster_object(
-                rc,
-                appwrapper=appwrapper,
-                write_to_file=write_to_file,
-                verify_tls=verify_tls,
-            )
-    raise FileNotFoundError(
-        f"Cluster {cluster_name} is not found in {namespace} namespace"
-    )
    
-
    
-
    
-
    
-def get_current_namespace()
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def get_current_namespace():  # pragma: no cover
-    if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"):
-        try:
-            file = open("/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r")
-            active_context = file.readline().strip("\n")
-            return active_context
-        except Exception as e:
-            print("Unable to find current namespace")
-    print("trying to gather from current context")
-    try:
-        _, active_context = config.list_kube_config_contexts(config_check())
-    except Exception as e:
-        return _kube_api_error_handling(e)
-    try:
-        return active_context["context"]["namespace"]
-    except KeyError:
-        return None
    
-
    
-
    
-
    
-def list_all_clusters(namespace: str, print_to_console: bool = True)
-
    
-
    
-
    Returns (and prints by default) a list of all clusters in a given namespace.
    
-
    
-
-Expand source code
-
-
    def list_all_clusters(namespace: str, print_to_console: bool = True):
-    """
-    Returns (and prints by default) a list of all clusters in a given namespace.
-    """
-    clusters = _get_ray_clusters(namespace)
-    if print_to_console:
-        pretty_print.print_clusters(clusters)
-    return clusters
    
-
    
-
    
-
    
-def list_all_queued(namespace: str, print_to_console: bool = True, appwrapper: bool = False)
-
    
-
    
-
    Returns (and prints by default) a list of all currently queued-up Ray Clusters
-in a given namespace.
    
-
    
-
-Expand source code
-
-
    def list_all_queued(
-    namespace: str, print_to_console: bool = True, appwrapper: bool = False
-):
-    """
-    Returns (and prints by default) a list of all currently queued-up Ray Clusters
-    in a given namespace.
-    """
-    if appwrapper:
-        resources = _get_app_wrappers(namespace, filter=[AppWrapperStatus.SUSPENDED])
-        if print_to_console:
-            pretty_print.print_app_wrappers_status(resources)
-    else:
-        resources = _get_ray_clusters(
-            namespace, filter=[RayClusterStatus.READY, RayClusterStatus.SUSPENDED]
-        )
-        if print_to_console:
-            pretty_print.print_ray_clusters_status(resources)
-    return resources
    
-
    
-
    
-
    
-
    
-
    
-
    Classes
    
-
    
-
    
-class Cluster
-(config: ClusterConfiguration)
-
    
-
    
-
    An object for requesting, bringing up, and taking down resources.
-Can also be used for seeing the resource cluster status and details.
    
-
    Note that currently, the underlying implementation is a Ray cluster.
    
-
    Create the resource cluster object by passing in a ClusterConfiguration
-(defined in the config sub-module). An AppWrapper will then be generated
-based off of the configured resources to represent the desired cluster
-request.
    
-
    
-
-Expand source code
-
-
    class Cluster:
-    """
-    An object for requesting, bringing up, and taking down resources.
-    Can also be used for seeing the resource cluster status and details.
-
-    Note that currently, the underlying implementation is a Ray cluster.
-    """
-
-    def __init__(self, config: ClusterConfiguration):
-        """
-        Create the resource cluster object by passing in a ClusterConfiguration
-        (defined in the config sub-module). An AppWrapper will then be generated
-        based off of the configured resources to represent the desired cluster
-        request.
-        """
-        self.config = config
-        self.app_wrapper_yaml = self.create_app_wrapper()
-        self._job_submission_client = None
-        self.app_wrapper_name = self.config.name
-        if is_notebook():
-            cluster_up_down_buttons(self)
-
-    @property
-    def _client_headers(self):
-        k8_client = get_api_client()
-        return {
-            "Authorization": k8_client.configuration.get_api_key_with_prefix(
-                "authorization"
-            )
-        }
-
-    @property
-    def _client_verify_tls(self):
-        if not is_openshift_cluster or not self.config.verify_tls:
-            return False
-        return True
-
-    @property
-    def job_client(self):
-        k8client = get_api_client()
-        if self._job_submission_client:
-            return self._job_submission_client
-        if is_openshift_cluster():
-            self._job_submission_client = JobSubmissionClient(
-                self.cluster_dashboard_uri(),
-                headers=self._client_headers,
-                verify=self._client_verify_tls,
-            )
-        else:
-            self._job_submission_client = JobSubmissionClient(
-                self.cluster_dashboard_uri()
-            )
-        return self._job_submission_client
-
-    def create_app_wrapper(self):
-        """
-        Called upon cluster object creation, creates an AppWrapper yaml based on
-        the specifications of the ClusterConfiguration.
-        """
-
-        if self.config.namespace is None:
-            self.config.namespace = get_current_namespace()
-            if self.config.namespace is None:
-                print("Please specify with namespace=<your_current_namespace>")
-            elif type(self.config.namespace) is not str:
-                raise TypeError(
-                    f"Namespace {self.config.namespace} is of type {type(self.config.namespace)}. Check your Kubernetes Authentication."
-                )
-
-        return generate_appwrapper(self)
-
-    # creates a new cluster with the provided or default spec
-    def up(self):
-        """
-        Applies the Cluster yaml, pushing the resource request onto
-        the Kueue localqueue.
-        """
-
-        # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError
-        self._throw_for_no_raycluster()
-
-        namespace = self.config.namespace
-
-        try:
-            config_check()
-            api_instance = client.CustomObjectsApi(get_api_client())
-            if self.config.appwrapper:
-                if self.config.write_to_file:
-                    with open(self.app_wrapper_yaml) as f:
-                        aw = yaml.load(f, Loader=yaml.FullLoader)
-                        api_instance.create_namespaced_custom_object(
-                            group="workload.codeflare.dev",
-                            version="v1beta2",
-                            namespace=namespace,
-                            plural="appwrappers",
-                            body=aw,
-                        )
-                else:
-                    aw = yaml.safe_load(self.app_wrapper_yaml)
-                    api_instance.create_namespaced_custom_object(
-                        group="workload.codeflare.dev",
-                        version="v1beta2",
-                        namespace=namespace,
-                        plural="appwrappers",
-                        body=aw,
-                    )
-                print(f"AppWrapper: '{self.config.name}' has successfully been created")
-            else:
-                self._component_resources_up(namespace, api_instance)
-                print(
-                    f"Ray Cluster: '{self.config.name}' has successfully been created"
-                )
-        except Exception as e:  # pragma: no cover
-            return _kube_api_error_handling(e)
-
-    def _throw_for_no_raycluster(self):
-        api_instance = client.CustomObjectsApi(get_api_client())
-        try:
-            api_instance.list_namespaced_custom_object(
-                group="ray.io",
-                version="v1",
-                namespace=self.config.namespace,
-                plural="rayclusters",
-            )
-        except ApiException as e:
-            if e.status == 404:
-                raise RuntimeError(
-                    "RayCluster CustomResourceDefinition unavailable contact your administrator."
-                )
-            else:
-                raise RuntimeError(
-                    "Failed to get RayCluster CustomResourceDefinition: " + str(e)
-                )
-
-    def down(self):
-        """
-        Deletes the AppWrapper yaml, scaling-down and deleting all resources
-        associated with the cluster.
-        """
-        namespace = self.config.namespace
-        self._throw_for_no_raycluster()
-        try:
-            config_check()
-            api_instance = client.CustomObjectsApi(get_api_client())
-            if self.config.appwrapper:
-                api_instance.delete_namespaced_custom_object(
-                    group="workload.codeflare.dev",
-                    version="v1beta2",
-                    namespace=namespace,
-                    plural="appwrappers",
-                    name=self.app_wrapper_name,
-                )
-                print(f"AppWrapper: '{self.config.name}' has successfully been deleted")
-            else:
-                self._component_resources_down(namespace, api_instance)
-                print(
-                    f"Ray Cluster: '{self.config.name}' has successfully been deleted"
-                )
-        except Exception as e:  # pragma: no cover
-            return _kube_api_error_handling(e)
-
-    def status(
-        self, print_to_console: bool = True
-    ) -> Tuple[CodeFlareClusterStatus, bool]:
-        """
-        Returns the requested cluster's status, as well as whether or not
-        it is ready for use.
-        """
-        ready = False
-        status = CodeFlareClusterStatus.UNKNOWN
-        if self.config.appwrapper:
-            # check the app wrapper status
-            appwrapper = _app_wrapper_status(self.config.name, self.config.namespace)
-            if appwrapper:
-                if appwrapper.status in [
-                    AppWrapperStatus.RESUMING,
-                    AppWrapperStatus.RESETTING,
-                ]:
-                    ready = False
-                    status = CodeFlareClusterStatus.STARTING
-                elif appwrapper.status in [
-                    AppWrapperStatus.FAILED,
-                ]:
-                    ready = False
-                    status = CodeFlareClusterStatus.FAILED  # should deleted be separate
-                    return status, ready  # exit early, no need to check ray status
-                elif appwrapper.status in [
-                    AppWrapperStatus.SUSPENDED,
-                    AppWrapperStatus.SUSPENDING,
-                ]:
-                    ready = False
-                    if appwrapper.status == AppWrapperStatus.SUSPENDED:
-                        status = CodeFlareClusterStatus.QUEUED
-                    else:
-                        status = CodeFlareClusterStatus.QUEUEING
-                    if print_to_console:
-                        pretty_print.print_app_wrappers_status([appwrapper])
-                    return (
-                        status,
-                        ready,
-                    )  # no need to check the ray status since still in queue
-
-        # check the ray cluster status
-        cluster = _ray_cluster_status(self.config.name, self.config.namespace)
-        if cluster:
-            if cluster.status == RayClusterStatus.SUSPENDED:
-                ready = False
-                status = CodeFlareClusterStatus.SUSPENDED
-            if cluster.status == RayClusterStatus.UNKNOWN:
-                ready = False
-                status = CodeFlareClusterStatus.STARTING
-            if cluster.status == RayClusterStatus.READY:
-                ready = True
-                status = CodeFlareClusterStatus.READY
-            elif cluster.status in [
-                RayClusterStatus.UNHEALTHY,
-                RayClusterStatus.FAILED,
-            ]:
-                ready = False
-                status = CodeFlareClusterStatus.FAILED
-
-            if print_to_console:
-                # overriding the number of gpus with requested
-                _, cluster.worker_gpu = head_worker_gpu_count_from_cluster(self)
-                pretty_print.print_cluster_status(cluster)
-        elif print_to_console:
-            if status == CodeFlareClusterStatus.UNKNOWN:
-                pretty_print.print_no_resources_found()
-            else:
-                pretty_print.print_app_wrappers_status([appwrapper], starting=True)
-
-        return status, ready
-
-    def is_dashboard_ready(self) -> bool:
-        try:
-            response = requests.get(
-                self.cluster_dashboard_uri(),
-                headers=self._client_headers,
-                timeout=5,
-                verify=self._client_verify_tls,
-            )
-        except requests.exceptions.SSLError:  # pragma no cover
-            # SSL exception occurs when oauth ingress has been created but cluster is not up
-            return False
-        if response.status_code == 200:
-            return True
-        else:
-            return False
-
-    def wait_ready(self, timeout: Optional[int] = None, dashboard_check: bool = True):
-        """
-        Waits for requested cluster to be ready, up to an optional timeout (s).
-        Checks every five seconds.
-        """
-        print("Waiting for requested resources to be set up...")
-        time = 0
-        while True:
-            if timeout and time >= timeout:
-                raise TimeoutError(
-                    f"wait() timed out after waiting {timeout}s for cluster to be ready"
-                )
-            status, ready = self.status(print_to_console=False)
-            if status == CodeFlareClusterStatus.UNKNOWN:
-                print(
-                    "WARNING: Current cluster status is unknown, have you run cluster.up yet?"
-                )
-            if ready:
-                break
-            sleep(5)
-            time += 5
-        print("Requested cluster is up and running!")
-
-        while dashboard_check:
-            if timeout and time >= timeout:
-                raise TimeoutError(
-                    f"wait() timed out after waiting {timeout}s for dashboard to be ready"
-                )
-            if self.is_dashboard_ready():
-                print("Dashboard is ready!")
-                break
-            sleep(5)
-            time += 5
-
-    def details(self, print_to_console: bool = True) -> RayCluster:
-        cluster = _copy_to_ray(self)
-        if print_to_console:
-            pretty_print.print_clusters([cluster])
-        return cluster
-
-    def cluster_uri(self) -> str:
-        """
-        Returns a string containing the cluster's URI.
-        """
-        return f"ray://{self.config.name}-head-svc.{self.config.namespace}.svc:10001"
-
-    def cluster_dashboard_uri(self) -> str:
-        """
-        Returns a string containing the cluster's dashboard URI.
-        """
-        config_check()
-        if is_openshift_cluster():
-            try:
-                api_instance = client.CustomObjectsApi(get_api_client())
-                routes = api_instance.list_namespaced_custom_object(
-                    group="route.openshift.io",
-                    version="v1",
-                    namespace=self.config.namespace,
-                    plural="routes",
-                )
-            except Exception as e:  # pragma: no cover
-                return _kube_api_error_handling(e)
-
-            for route in routes["items"]:
-                if route["metadata"][
-                    "name"
-                ] == f"ray-dashboard-{self.config.name}" or route["metadata"][
-                    "name"
-                ].startswith(
-                    f"{self.config.name}-ingress"
-                ):
-                    protocol = "https" if route["spec"].get("tls") else "http"
-                    return f"{protocol}://{route['spec']['host']}"
-        else:
-            try:
-                api_instance = client.NetworkingV1Api(get_api_client())
-                ingresses = api_instance.list_namespaced_ingress(self.config.namespace)
-            except Exception as e:  # pragma no cover
-                return _kube_api_error_handling(e)
-
-            for ingress in ingresses.items:
-                annotations = ingress.metadata.annotations
-                protocol = "http"
-                if (
-                    ingress.metadata.name == f"ray-dashboard-{self.config.name}"
-                    or ingress.metadata.name.startswith(f"{self.config.name}-ingress")
-                ):
-                    if annotations == None:
-                        protocol = "http"
-                    elif "route.openshift.io/termination" in annotations:
-                        protocol = "https"
-                return f"{protocol}://{ingress.spec.rules[0].host}"
-        return "Dashboard not available yet, have you run cluster.up()?"
-
-    def list_jobs(self) -> List:
-        """
-        This method accesses the head ray node in your cluster and lists the running jobs.
-        """
-        return self.job_client.list_jobs()
-
-    def job_status(self, job_id: str) -> str:
-        """
-        This method accesses the head ray node in your cluster and returns the job status for the provided job id.
-        """
-        return self.job_client.get_job_status(job_id)
-
-    def job_logs(self, job_id: str) -> str:
-        """
-        This method accesses the head ray node in your cluster and returns the logs for the provided job id.
-        """
-        return self.job_client.get_job_logs(job_id)
-
-    @staticmethod
-    def _head_worker_extended_resources_from_rc_dict(rc: Dict) -> Tuple[dict, dict]:
-        head_extended_resources, worker_extended_resources = {}, {}
-        for resource in rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["limits"].keys():
-            if resource in ["memory", "cpu"]:
-                continue
-            worker_extended_resources[resource] = rc["spec"]["workerGroupSpecs"][0][
-                "template"
-            ]["spec"]["containers"][0]["resources"]["limits"][resource]
-
-        for resource in rc["spec"]["headGroupSpec"]["template"]["spec"]["containers"][
-            0
-        ]["resources"]["limits"].keys():
-            if resource in ["memory", "cpu"]:
-                continue
-            head_extended_resources[resource] = rc["spec"]["headGroupSpec"]["template"][
-                "spec"
-            ]["containers"][0]["resources"]["limits"][resource]
-
-        return head_extended_resources, worker_extended_resources
-
-    def from_k8_cluster_object(
-        rc,
-        appwrapper=True,
-        write_to_file=False,
-        verify_tls=True,
-    ):
-        config_check()
-        machine_types = (
-            rc["metadata"]["labels"]["orderedinstance"].split("_")
-            if "orderedinstance" in rc["metadata"]["labels"]
-            else []
-        )
-
-        (
-            head_extended_resources,
-            worker_extended_resources,
-        ) = Cluster._head_worker_extended_resources_from_rc_dict(rc)
-
-        cluster_config = ClusterConfiguration(
-            name=rc["metadata"]["name"],
-            namespace=rc["metadata"]["namespace"],
-            machine_types=machine_types,
-            head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["requests"]["cpu"],
-            head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["cpu"],
-            head_memory_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["requests"]["memory"],
-            head_memory_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["memory"],
-            num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"],
-            worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["requests"]["cpu"],
-            worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["cpu"],
-            worker_memory_requests=rc["spec"]["workerGroupSpecs"][0]["template"][
-                "spec"
-            ]["containers"][0]["resources"]["requests"]["memory"],
-            worker_memory_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["memory"],
-            worker_extended_resource_requests=worker_extended_resources,
-            head_extended_resource_requests=head_extended_resources,
-            image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][
-                0
-            ]["image"],
-            appwrapper=appwrapper,
-            write_to_file=write_to_file,
-            verify_tls=verify_tls,
-            local_queue=rc["metadata"]
-            .get("labels", dict())
-            .get("kueue.x-k8s.io/queue-name", None),
-        )
-        return Cluster(cluster_config)
-
-    def local_client_url(self):
-        ingress_domain = _get_ingress_domain(self)
-        return f"ray://{ingress_domain}"
-
-    def _component_resources_up(
-        self, namespace: str, api_instance: client.CustomObjectsApi
-    ):
-        if self.config.write_to_file:
-            with open(self.app_wrapper_yaml) as f:
-                yamls = list(yaml.load_all(f, Loader=yaml.FullLoader))
-                for resource in yamls:
-                    enable_ingress = (
-                        resource.get("spec", {})
-                        .get("headGroupSpec", {})
-                        .get("enableIngress")
-                    )
-                    if resource["kind"] == "RayCluster" and enable_ingress is True:
-                        name = resource["metadata"]["name"]
-                        print(
-                            f"Forbidden: RayCluster '{name}' has 'enableIngress' set to 'True'."
-                        )
-                        return
-                _create_resources(yamls, namespace, api_instance)
-        else:
-            yamls = yaml.load_all(self.app_wrapper_yaml, Loader=yaml.FullLoader)
-            _create_resources(yamls, namespace, api_instance)
-
-    def _component_resources_down(
-        self, namespace: str, api_instance: client.CustomObjectsApi
-    ):
-        cluster_name = self.config.name
-        if self.config.write_to_file:
-            with open(self.app_wrapper_yaml) as f:
-                yamls = yaml.load_all(f, Loader=yaml.FullLoader)
-                _delete_resources(yamls, namespace, api_instance, cluster_name)
-        else:
-            yamls = yaml.safe_load_all(self.app_wrapper_yaml)
-            _delete_resources(yamls, namespace, api_instance, cluster_name)
    
-
    
-
    Instance variables
    
-
    
-
    var job_client
    
-
    
-
    
-
    
-
-Expand source code
-
-
    @property
-def job_client(self):
-    k8client = get_api_client()
-    if self._job_submission_client:
-        return self._job_submission_client
-    if is_openshift_cluster():
-        self._job_submission_client = JobSubmissionClient(
-            self.cluster_dashboard_uri(),
-            headers=self._client_headers,
-            verify=self._client_verify_tls,
-        )
-    else:
-        self._job_submission_client = JobSubmissionClient(
-            self.cluster_dashboard_uri()
-        )
-    return self._job_submission_client
    
-
    
-
    
-
    
-
    Methods
    
-
    
-
    
-def cluster_dashboard_uri(self) ‑> str
-
    
-
    
-
    Returns a string containing the cluster's dashboard URI.
    
-
    
-
-Expand source code
-
-
    def cluster_dashboard_uri(self) -> str:
-    """
-    Returns a string containing the cluster's dashboard URI.
-    """
-    config_check()
-    if is_openshift_cluster():
-        try:
-            api_instance = client.CustomObjectsApi(get_api_client())
-            routes = api_instance.list_namespaced_custom_object(
-                group="route.openshift.io",
-                version="v1",
-                namespace=self.config.namespace,
-                plural="routes",
-            )
-        except Exception as e:  # pragma: no cover
-            return _kube_api_error_handling(e)
-
-        for route in routes["items"]:
-            if route["metadata"][
-                "name"
-            ] == f"ray-dashboard-{self.config.name}" or route["metadata"][
-                "name"
-            ].startswith(
-                f"{self.config.name}-ingress"
-            ):
-                protocol = "https" if route["spec"].get("tls") else "http"
-                return f"{protocol}://{route['spec']['host']}"
-    else:
-        try:
-            api_instance = client.NetworkingV1Api(get_api_client())
-            ingresses = api_instance.list_namespaced_ingress(self.config.namespace)
-        except Exception as e:  # pragma no cover
-            return _kube_api_error_handling(e)
-
-        for ingress in ingresses.items:
-            annotations = ingress.metadata.annotations
-            protocol = "http"
-            if (
-                ingress.metadata.name == f"ray-dashboard-{self.config.name}"
-                or ingress.metadata.name.startswith(f"{self.config.name}-ingress")
-            ):
-                if annotations == None:
-                    protocol = "http"
-                elif "route.openshift.io/termination" in annotations:
-                    protocol = "https"
-            return f"{protocol}://{ingress.spec.rules[0].host}"
-    return "Dashboard not available yet, have you run cluster.up()?"
    
-
    
-
    
-
    
-def cluster_uri(self) ‑> str
-
    
-
    
-
    Returns a string containing the cluster's URI.
    
-
    
-
-Expand source code
-
-
    def cluster_uri(self) -> str:
-    """
-    Returns a string containing the cluster's URI.
-    """
-    return f"ray://{self.config.name}-head-svc.{self.config.namespace}.svc:10001"
    
-
    
-
    
-
    
-def create_app_wrapper(self)
-
    
-
    
-
    Called upon cluster object creation, creates an AppWrapper yaml based on
-the specifications of the ClusterConfiguration.
    
-
    
-
-Expand source code
-
-
    def create_app_wrapper(self):
-    """
-    Called upon cluster object creation, creates an AppWrapper yaml based on
-    the specifications of the ClusterConfiguration.
-    """
-
-    if self.config.namespace is None:
-        self.config.namespace = get_current_namespace()
-        if self.config.namespace is None:
-            print("Please specify with namespace=<your_current_namespace>")
-        elif type(self.config.namespace) is not str:
-            raise TypeError(
-                f"Namespace {self.config.namespace} is of type {type(self.config.namespace)}. Check your Kubernetes Authentication."
-            )
-
-    return generate_appwrapper(self)
    
-
    
-
    
-
    
-def details(self, print_to_console: bool = True) ‑> RayCluster
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def details(self, print_to_console: bool = True) -> RayCluster:
-    cluster = _copy_to_ray(self)
-    if print_to_console:
-        pretty_print.print_clusters([cluster])
-    return cluster
    
-
    
-
    
-
    
-def down(self)
-
    
-
    
-
    Deletes the AppWrapper yaml, scaling-down and deleting all resources
-associated with the cluster.
    
-
    
-
-Expand source code
-
-
    def down(self):
-    """
-    Deletes the AppWrapper yaml, scaling-down and deleting all resources
-    associated with the cluster.
-    """
-    namespace = self.config.namespace
-    self._throw_for_no_raycluster()
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        if self.config.appwrapper:
-            api_instance.delete_namespaced_custom_object(
-                group="workload.codeflare.dev",
-                version="v1beta2",
-                namespace=namespace,
-                plural="appwrappers",
-                name=self.app_wrapper_name,
-            )
-            print(f"AppWrapper: '{self.config.name}' has successfully been deleted")
-        else:
-            self._component_resources_down(namespace, api_instance)
-            print(
-                f"Ray Cluster: '{self.config.name}' has successfully been deleted"
-            )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
    
-
    
-
    
-
    
-def from_k8_cluster_object(rc, appwrapper=True, write_to_file=False, verify_tls=True)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def from_k8_cluster_object(
-    rc,
-    appwrapper=True,
-    write_to_file=False,
-    verify_tls=True,
-):
-    config_check()
-    machine_types = (
-        rc["metadata"]["labels"]["orderedinstance"].split("_")
-        if "orderedinstance" in rc["metadata"]["labels"]
-        else []
-    )
-
-    (
-        head_extended_resources,
-        worker_extended_resources,
-    ) = Cluster._head_worker_extended_resources_from_rc_dict(rc)
-
-    cluster_config = ClusterConfiguration(
-        name=rc["metadata"]["name"],
-        namespace=rc["metadata"]["namespace"],
-        machine_types=machine_types,
-        head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["requests"]["cpu"],
-        head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["limits"]["cpu"],
-        head_memory_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["requests"]["memory"],
-        head_memory_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["limits"]["memory"],
-        num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"],
-        worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["requests"]["cpu"],
-        worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["limits"]["cpu"],
-        worker_memory_requests=rc["spec"]["workerGroupSpecs"][0]["template"][
-            "spec"
-        ]["containers"][0]["resources"]["requests"]["memory"],
-        worker_memory_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-            "containers"
-        ][0]["resources"]["limits"]["memory"],
-        worker_extended_resource_requests=worker_extended_resources,
-        head_extended_resource_requests=head_extended_resources,
-        image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][
-            0
-        ]["image"],
-        appwrapper=appwrapper,
-        write_to_file=write_to_file,
-        verify_tls=verify_tls,
-        local_queue=rc["metadata"]
-        .get("labels", dict())
-        .get("kueue.x-k8s.io/queue-name", None),
-    )
-    return Cluster(cluster_config)
    
-
    
-
    
-
    
-def is_dashboard_ready(self) ‑> bool
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def is_dashboard_ready(self) -> bool:
-    try:
-        response = requests.get(
-            self.cluster_dashboard_uri(),
-            headers=self._client_headers,
-            timeout=5,
-            verify=self._client_verify_tls,
-        )
-    except requests.exceptions.SSLError:  # pragma no cover
-        # SSL exception occurs when oauth ingress has been created but cluster is not up
-        return False
-    if response.status_code == 200:
-        return True
-    else:
-        return False
    
-
    
-
    
-
    
-def job_logs(self, job_id: str) ‑> str
-
    
-
    
-
    This method accesses the head ray node in your cluster and returns the logs for the provided job id.
    
-
    
-
-Expand source code
-
-
    def job_logs(self, job_id: str) -> str:
-    """
-    This method accesses the head ray node in your cluster and returns the logs for the provided job id.
-    """
-    return self.job_client.get_job_logs(job_id)
    
-
    
-
    
-
    
-def job_status(self, job_id: str) ‑> str
-
    
-
    
-
    This method accesses the head ray node in your cluster and returns the job status for the provided job id.
    
-
    
-
-Expand source code
-
-
    def job_status(self, job_id: str) -> str:
-    """
-    This method accesses the head ray node in your cluster and returns the job status for the provided job id.
-    """
-    return self.job_client.get_job_status(job_id)
    
-
    
-
    
-
    
-def list_jobs(self) ‑> List
-
    
-
    
-
    This method accesses the head ray node in your cluster and lists the running jobs.
    
-
    
-
-Expand source code
-
-
    def list_jobs(self) -> List:
-    """
-    This method accesses the head ray node in your cluster and lists the running jobs.
-    """
-    return self.job_client.list_jobs()
    
-
    
-
    
-
    
-def local_client_url(self)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def local_client_url(self):
-    ingress_domain = _get_ingress_domain(self)
-    return f"ray://{ingress_domain}"
    
-
    
-
    
-
    
-def status(self, print_to_console: bool = True) ‑> Tuple[CodeFlareClusterStatus, bool]
-
    
-
    
-
    Returns the requested cluster's status, as well as whether or not
-it is ready for use.
    
-
    
-
-Expand source code
-
-
    def status(
-    self, print_to_console: bool = True
-) -> Tuple[CodeFlareClusterStatus, bool]:
-    """
-    Returns the requested cluster's status, as well as whether or not
-    it is ready for use.
-    """
-    ready = False
-    status = CodeFlareClusterStatus.UNKNOWN
-    if self.config.appwrapper:
-        # check the app wrapper status
-        appwrapper = _app_wrapper_status(self.config.name, self.config.namespace)
-        if appwrapper:
-            if appwrapper.status in [
-                AppWrapperStatus.RESUMING,
-                AppWrapperStatus.RESETTING,
-            ]:
-                ready = False
-                status = CodeFlareClusterStatus.STARTING
-            elif appwrapper.status in [
-                AppWrapperStatus.FAILED,
-            ]:
-                ready = False
-                status = CodeFlareClusterStatus.FAILED  # should deleted be separate
-                return status, ready  # exit early, no need to check ray status
-            elif appwrapper.status in [
-                AppWrapperStatus.SUSPENDED,
-                AppWrapperStatus.SUSPENDING,
-            ]:
-                ready = False
-                if appwrapper.status == AppWrapperStatus.SUSPENDED:
-                    status = CodeFlareClusterStatus.QUEUED
-                else:
-                    status = CodeFlareClusterStatus.QUEUEING
-                if print_to_console:
-                    pretty_print.print_app_wrappers_status([appwrapper])
-                return (
-                    status,
-                    ready,
-                )  # no need to check the ray status since still in queue
-
-    # check the ray cluster status
-    cluster = _ray_cluster_status(self.config.name, self.config.namespace)
-    if cluster:
-        if cluster.status == RayClusterStatus.SUSPENDED:
-            ready = False
-            status = CodeFlareClusterStatus.SUSPENDED
-        if cluster.status == RayClusterStatus.UNKNOWN:
-            ready = False
-            status = CodeFlareClusterStatus.STARTING
-        if cluster.status == RayClusterStatus.READY:
-            ready = True
-            status = CodeFlareClusterStatus.READY
-        elif cluster.status in [
-            RayClusterStatus.UNHEALTHY,
-            RayClusterStatus.FAILED,
-        ]:
-            ready = False
-            status = CodeFlareClusterStatus.FAILED
-
-        if print_to_console:
-            # overriding the number of gpus with requested
-            _, cluster.worker_gpu = head_worker_gpu_count_from_cluster(self)
-            pretty_print.print_cluster_status(cluster)
-    elif print_to_console:
-        if status == CodeFlareClusterStatus.UNKNOWN:
-            pretty_print.print_no_resources_found()
-        else:
-            pretty_print.print_app_wrappers_status([appwrapper], starting=True)
-
-    return status, ready
    
-
    
-
    
-
    
-def up(self)
-
    
-
    
-
    Applies the Cluster yaml, pushing the resource request onto
-the Kueue localqueue.
    
-
    
-
-Expand source code
-
-
    def up(self):
-    """
-    Applies the Cluster yaml, pushing the resource request onto
-    the Kueue localqueue.
-    """
-
-    # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError
-    self._throw_for_no_raycluster()
-
-    namespace = self.config.namespace
-
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        if self.config.appwrapper:
-            if self.config.write_to_file:
-                with open(self.app_wrapper_yaml) as f:
-                    aw = yaml.load(f, Loader=yaml.FullLoader)
-                    api_instance.create_namespaced_custom_object(
-                        group="workload.codeflare.dev",
-                        version="v1beta2",
-                        namespace=namespace,
-                        plural="appwrappers",
-                        body=aw,
-                    )
-            else:
-                aw = yaml.safe_load(self.app_wrapper_yaml)
-                api_instance.create_namespaced_custom_object(
-                    group="workload.codeflare.dev",
-                    version="v1beta2",
-                    namespace=namespace,
-                    plural="appwrappers",
-                    body=aw,
-                )
-            print(f"AppWrapper: '{self.config.name}' has successfully been created")
-        else:
-            self._component_resources_up(namespace, api_instance)
-            print(
-                f"Ray Cluster: '{self.config.name}' has successfully been created"
-            )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
    
-
    
-
    
-
    
-def wait_ready(self, timeout: Optional[int] = None, dashboard_check: bool = True)
-
    
-
    
-
    Waits for requested cluster to be ready, up to an optional timeout (s).
-Checks every five seconds.
    
-
    
-
-Expand source code
-
-
    def wait_ready(self, timeout: Optional[int] = None, dashboard_check: bool = True):
-    """
-    Waits for requested cluster to be ready, up to an optional timeout (s).
-    Checks every five seconds.
-    """
-    print("Waiting for requested resources to be set up...")
-    time = 0
-    while True:
-        if timeout and time >= timeout:
-            raise TimeoutError(
-                f"wait() timed out after waiting {timeout}s for cluster to be ready"
-            )
-        status, ready = self.status(print_to_console=False)
-        if status == CodeFlareClusterStatus.UNKNOWN:
-            print(
-                "WARNING: Current cluster status is unknown, have you run cluster.up yet?"
-            )
-        if ready:
-            break
-        sleep(5)
-        time += 5
-    print("Requested cluster is up and running!")
-
-    while dashboard_check:
-        if timeout and time >= timeout:
-            raise TimeoutError(
-                f"wait() timed out after waiting {timeout}s for dashboard to be ready"
-            )
-        if self.is_dashboard_ready():
-            print("Dashboard is ready!")
-            break
-        sleep(5)
-        time += 5
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/cluster/config.html b/docs/detailed-documentation/cluster/config.html
deleted file mode 100644
index b329fb03..00000000
--- a/docs/detailed-documentation/cluster/config.html
+++ /dev/null
@@ -1,764 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.cluster.config API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.cluster.config
    
-
    
-
    
-
    The config sub-module contains the definition of the ClusterConfiguration dataclass,
-which is used to specify resource requirements and other details when creating a
-Cluster object.
    
-
    
-
-Expand source code
-
-
    # Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-The config sub-module contains the definition of the ClusterConfiguration dataclass,
-which is used to specify resource requirements and other details when creating a
-Cluster object.
-"""
-
-import pathlib
-import warnings
-from dataclasses import dataclass, field, fields
-from typing import Dict, List, Optional, Union, get_args, get_origin
-
-dir = pathlib.Path(__file__).parent.parent.resolve()
-
-# https://docs.ray.io/en/latest/ray-core/scheduling/accelerators.html
-DEFAULT_RESOURCE_MAPPING = {
-    "nvidia.com/gpu": "GPU",
-    "intel.com/gpu": "GPU",
-    "amd.com/gpu": "GPU",
-    "aws.amazon.com/neuroncore": "neuron_cores",
-    "google.com/tpu": "TPU",
-    "habana.ai/gaudi": "HPU",
-    "huawei.com/Ascend910": "NPU",
-    "huawei.com/Ascend310": "NPU",
-}
-
-
-@dataclass
-class ClusterConfiguration:
-    """
-    This dataclass is used to specify resource requirements and other details, and
-    is passed in as an argument when creating a Cluster object.
-
-    Attributes:
-    - name: The name of the cluster.
-    - namespace: The namespace in which the cluster should be created.
-    - head_info: A list of strings containing information about the head node.
-    - head_cpus: The number of CPUs to allocate to the head node.
-    - head_memory: The amount of memory to allocate to the head node.
-    - head_gpus: The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests)
-    - head_extended_resource_requests: A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1}
-    - machine_types: A list of machine types to use for the cluster.
-    - min_cpus: The minimum number of CPUs to allocate to each worker.
-    - max_cpus: The maximum number of CPUs to allocate to each worker.
-    - num_workers: The number of workers to create.
-    - min_memory: The minimum amount of memory to allocate to each worker.
-    - max_memory: The maximum amount of memory to allocate to each worker.
-    - num_gpus: The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests)
-    - template: The path to the template file to use for the cluster.
-    - appwrapper: A boolean indicating whether to use an AppWrapper.
-    - envs: A dictionary of environment variables to set for the cluster.
-    - image: The image to use for the cluster.
-    - image_pull_secrets: A list of image pull secrets to use for the cluster.
-    - write_to_file: A boolean indicating whether to write the cluster configuration to a file.
-    - verify_tls: A boolean indicating whether to verify TLS when connecting to the cluster.
-    - labels: A dictionary of labels to apply to the cluster.
-    - worker_extended_resource_requests: A dictionary of extended resource requests for each worker. ex: {"nvidia.com/gpu": 1}
-    - extended_resource_mapping: A dictionary of custom resource mappings to map extended resource requests to RayCluster resource names
-    - overwrite_default_resource_mapping: A boolean indicating whether to overwrite the default resource mapping.
-    """
-
-    name: str
-    namespace: Optional[str] = None
-    head_info: List[str] = field(default_factory=list)
-    head_cpu_requests: Union[int, str] = 2
-    head_cpu_limits: Union[int, str] = 2
-    head_cpus: Optional[Union[int, str]] = None  # Deprecating
-    head_memory_requests: Union[int, str] = 8
-    head_memory_limits: Union[int, str] = 8
-    head_memory: Optional[Union[int, str]] = None  # Deprecating
-    head_gpus: Optional[int] = None  # Deprecating
-    head_extended_resource_requests: Dict[str, Union[str, int]] = field(
-        default_factory=dict
-    )
-    machine_types: List[str] = field(
-        default_factory=list
-    )  # ["m4.xlarge", "g4dn.xlarge"]
-    worker_cpu_requests: Union[int, str] = 1
-    worker_cpu_limits: Union[int, str] = 1
-    min_cpus: Optional[Union[int, str]] = None  # Deprecating
-    max_cpus: Optional[Union[int, str]] = None  # Deprecating
-    num_workers: int = 1
-    worker_memory_requests: Union[int, str] = 2
-    worker_memory_limits: Union[int, str] = 2
-    min_memory: Optional[Union[int, str]] = None  # Deprecating
-    max_memory: Optional[Union[int, str]] = None  # Deprecating
-    num_gpus: Optional[int] = None  # Deprecating
-    template: str = f"{dir}/templates/base-template.yaml"
-    appwrapper: bool = False
-    envs: Dict[str, str] = field(default_factory=dict)
-    image: str = ""
-    image_pull_secrets: List[str] = field(default_factory=list)
-    write_to_file: bool = False
-    verify_tls: bool = True
-    labels: Dict[str, str] = field(default_factory=dict)
-    worker_extended_resource_requests: Dict[str, Union[str, int]] = field(
-        default_factory=dict
-    )
-    extended_resource_mapping: Dict[str, str] = field(default_factory=dict)
-    overwrite_default_resource_mapping: bool = False
-    local_queue: Optional[str] = None
-
-    def __post_init__(self):
-        if not self.verify_tls:
-            print(
-                "Warning: TLS verification has been disabled - Endpoint checks will be bypassed"
-            )
-
-        self._validate_types()
-        self._memory_to_string()
-        self._str_mem_no_unit_add_GB()
-        self._memory_to_resource()
-        self._cpu_to_resource()
-        self._gpu_to_resource()
-        self._combine_extended_resource_mapping()
-        self._validate_extended_resource_requests(self.head_extended_resource_requests)
-        self._validate_extended_resource_requests(
-            self.worker_extended_resource_requests
-        )
-
-    def _combine_extended_resource_mapping(self):
-        if overwritten := set(self.extended_resource_mapping.keys()).intersection(
-            DEFAULT_RESOURCE_MAPPING.keys()
-        ):
-            if self.overwrite_default_resource_mapping:
-                warnings.warn(
-                    f"Overwriting default resource mapping for {overwritten}",
-                    UserWarning,
-                )
-            else:
-                raise ValueError(
-                    f"Resource mapping already exists for {overwritten}, set overwrite_default_resource_mapping to True to overwrite"
-                )
-        self.extended_resource_mapping = {
-            **DEFAULT_RESOURCE_MAPPING,
-            **self.extended_resource_mapping,
-        }
-
-    def _validate_extended_resource_requests(self, extended_resources: Dict[str, int]):
-        for k in extended_resources.keys():
-            if k not in self.extended_resource_mapping.keys():
-                raise ValueError(
-                    f"extended resource '{k}' not found in extended_resource_mapping, available resources are {list(self.extended_resource_mapping.keys())}, to add more supported resources use extended_resource_mapping. i.e. extended_resource_mapping = {{'{k}': 'FOO_BAR'}}"
-                )
-
-    def _gpu_to_resource(self):
-        if self.head_gpus:
-            warnings.warn(
-                f"head_gpus is being deprecated, replacing with head_extended_resource_requests['nvidia.com/gpu'] = {self.head_gpus}"
-            )
-            if "nvidia.com/gpu" in self.head_extended_resource_requests:
-                raise ValueError(
-                    "nvidia.com/gpu already exists in head_extended_resource_requests"
-                )
-            self.head_extended_resource_requests["nvidia.com/gpu"] = self.head_gpus
-        if self.num_gpus:
-            warnings.warn(
-                f"num_gpus is being deprecated, replacing with worker_extended_resource_requests['nvidia.com/gpu'] = {self.num_gpus}"
-            )
-            if "nvidia.com/gpu" in self.worker_extended_resource_requests:
-                raise ValueError(
-                    "nvidia.com/gpu already exists in worker_extended_resource_requests"
-                )
-            self.worker_extended_resource_requests["nvidia.com/gpu"] = self.num_gpus
-
-    def _str_mem_no_unit_add_GB(self):
-        if isinstance(self.head_memory, str) and self.head_memory.isdecimal():
-            self.head_memory = f"{self.head_memory}G"
-        if (
-            isinstance(self.worker_memory_requests, str)
-            and self.worker_memory_requests.isdecimal()
-        ):
-            self.worker_memory_requests = f"{self.worker_memory_requests}G"
-        if (
-            isinstance(self.worker_memory_limits, str)
-            and self.worker_memory_limits.isdecimal()
-        ):
-            self.worker_memory_limits = f"{self.worker_memory_limits}G"
-
-    def _memory_to_string(self):
-        if isinstance(self.head_memory_requests, int):
-            self.head_memory_requests = f"{self.head_memory_requests}G"
-        if isinstance(self.head_memory_limits, int):
-            self.head_memory_limits = f"{self.head_memory_limits}G"
-        if isinstance(self.worker_memory_requests, int):
-            self.worker_memory_requests = f"{self.worker_memory_requests}G"
-        if isinstance(self.worker_memory_limits, int):
-            self.worker_memory_limits = f"{self.worker_memory_limits}G"
-
-    def _cpu_to_resource(self):
-        if self.head_cpus:
-            warnings.warn(
-                "head_cpus is being deprecated, use head_cpu_requests and head_cpu_limits"
-            )
-            self.head_cpu_requests = self.head_cpu_limits = self.head_cpus
-        if self.min_cpus:
-            warnings.warn("min_cpus is being deprecated, use worker_cpu_requests")
-            self.worker_cpu_requests = self.min_cpus
-        if self.max_cpus:
-            warnings.warn("max_cpus is being deprecated, use worker_cpu_limits")
-            self.worker_cpu_limits = self.max_cpus
-
-    def _memory_to_resource(self):
-        if self.head_memory:
-            warnings.warn(
-                "head_memory is being deprecated, use head_memory_requests and head_memory_limits"
-            )
-            self.head_memory_requests = self.head_memory_limits = self.head_memory
-        if self.min_memory:
-            warnings.warn("min_memory is being deprecated, use worker_memory_requests")
-            self.worker_memory_requests = f"{self.min_memory}G"
-        if self.max_memory:
-            warnings.warn("max_memory is being deprecated, use worker_memory_limits")
-            self.worker_memory_limits = f"{self.max_memory}G"
-
-    def _validate_types(self):
-        """Validate the types of all fields in the ClusterConfiguration dataclass."""
-        for field_info in fields(self):
-            value = getattr(self, field_info.name)
-            expected_type = field_info.type
-            if not self._is_type(value, expected_type):
-                raise TypeError(
-                    f"'{field_info.name}' should be of type {expected_type}"
-                )
-
-    @staticmethod
-    def _is_type(value, expected_type):
-        """Check if the value matches the expected type."""
-
-        def check_type(value, expected_type):
-            origin_type = get_origin(expected_type)
-            args = get_args(expected_type)
-            if origin_type is Union:
-                return any(check_type(value, union_type) for union_type in args)
-            if origin_type is list:
-                return all(check_type(elem, args[0]) for elem in value)
-            if origin_type is dict:
-                return all(
-                    check_type(k, args[0]) and check_type(v, args[1])
-                    for k, v in value.items()
-                )
-            if origin_type is tuple:
-                return all(check_type(elem, etype) for elem, etype in zip(value, args))
-            return isinstance(value, expected_type)
-
-        return check_type(value, expected_type)
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Classes
    
-
    
-
    
-class ClusterConfiguration
-(name: str, namespace: Optional[str] = None, head_info: List[str] = <factory>, head_cpu_requests: Union[int, str] = 2, head_cpu_limits: Union[int, str] = 2, head_cpus: Union[int, str, ForwardRef(None)] = None, head_memory_requests: Union[int, str] = 8, head_memory_limits: Union[int, str] = 8, head_memory: Union[int, str, ForwardRef(None)] = None, head_gpus: Optional[int] = None, head_extended_resource_requests: Dict[str, Union[str, int]] = <factory>, machine_types: List[str] = <factory>, worker_cpu_requests: Union[int, str] = 1, worker_cpu_limits: Union[int, str] = 1, min_cpus: Union[int, str, ForwardRef(None)] = None, max_cpus: Union[int, str, ForwardRef(None)] = None, num_workers: int = 1, worker_memory_requests: Union[int, str] = 2, worker_memory_limits: Union[int, str] = 2, min_memory: Union[int, str, ForwardRef(None)] = None, max_memory: Union[int, str, ForwardRef(None)] = None, num_gpus: Optional[int] = None, template: str = '/home/runner/work/codeflare-sdk/codeflare-sdk/src/codeflare_sdk/templates/base-template.yaml', appwrapper: bool = False, envs: Dict[str, str] = <factory>, image: str = '', image_pull_secrets: List[str] = <factory>, write_to_file: bool = False, verify_tls: bool = True, labels: Dict[str, str] = <factory>, worker_extended_resource_requests: Dict[str, Union[str, int]] = <factory>, extended_resource_mapping: Dict[str, str] = <factory>, overwrite_default_resource_mapping: bool = False, local_queue: Optional[str] = None)
-
    
-
    
-
    This dataclass is used to specify resource requirements and other details, and
-is passed in as an argument when creating a Cluster object.
    
-
    Attributes:
-- name: The name of the cluster.
-- namespace: The namespace in which the cluster should be created.
-- head_info: A list of strings containing information about the head node.
-- head_cpus: The number of CPUs to allocate to the head node.
-- head_memory: The amount of memory to allocate to the head node.
-- head_gpus: The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests)
-- head_extended_resource_requests: A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1}
-- machine_types: A list of machine types to use for the cluster.
-- min_cpus: The minimum number of CPUs to allocate to each worker.
-- max_cpus: The maximum number of CPUs to allocate to each worker.
-- num_workers: The number of workers to create.
-- min_memory: The minimum amount of memory to allocate to each worker.
-- max_memory: The maximum amount of memory to allocate to each worker.
-- num_gpus: The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests)
-- template: The path to the template file to use for the cluster.
-- appwrapper: A boolean indicating whether to use an AppWrapper.
-- envs: A dictionary of environment variables to set for the cluster.
-- image: The image to use for the cluster.
-- image_pull_secrets: A list of image pull secrets to use for the cluster.
-- write_to_file: A boolean indicating whether to write the cluster configuration to a file.
-- verify_tls: A boolean indicating whether to verify TLS when connecting to the cluster.
-- labels: A dictionary of labels to apply to the cluster.
-- worker_extended_resource_requests: A dictionary of extended resource requests for each worker. ex: {"nvidia.com/gpu": 1}
-- extended_resource_mapping: A dictionary of custom resource mappings to map extended resource requests to RayCluster resource names
-- overwrite_default_resource_mapping: A boolean indicating whether to overwrite the default resource mapping.
    
-
    
-
-Expand source code
-
-
    @dataclass
-class ClusterConfiguration:
-    """
-    This dataclass is used to specify resource requirements and other details, and
-    is passed in as an argument when creating a Cluster object.
-
-    Attributes:
-    - name: The name of the cluster.
-    - namespace: The namespace in which the cluster should be created.
-    - head_info: A list of strings containing information about the head node.
-    - head_cpus: The number of CPUs to allocate to the head node.
-    - head_memory: The amount of memory to allocate to the head node.
-    - head_gpus: The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests)
-    - head_extended_resource_requests: A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1}
-    - machine_types: A list of machine types to use for the cluster.
-    - min_cpus: The minimum number of CPUs to allocate to each worker.
-    - max_cpus: The maximum number of CPUs to allocate to each worker.
-    - num_workers: The number of workers to create.
-    - min_memory: The minimum amount of memory to allocate to each worker.
-    - max_memory: The maximum amount of memory to allocate to each worker.
-    - num_gpus: The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests)
-    - template: The path to the template file to use for the cluster.
-    - appwrapper: A boolean indicating whether to use an AppWrapper.
-    - envs: A dictionary of environment variables to set for the cluster.
-    - image: The image to use for the cluster.
-    - image_pull_secrets: A list of image pull secrets to use for the cluster.
-    - write_to_file: A boolean indicating whether to write the cluster configuration to a file.
-    - verify_tls: A boolean indicating whether to verify TLS when connecting to the cluster.
-    - labels: A dictionary of labels to apply to the cluster.
-    - worker_extended_resource_requests: A dictionary of extended resource requests for each worker. ex: {"nvidia.com/gpu": 1}
-    - extended_resource_mapping: A dictionary of custom resource mappings to map extended resource requests to RayCluster resource names
-    - overwrite_default_resource_mapping: A boolean indicating whether to overwrite the default resource mapping.
-    """
-
-    name: str
-    namespace: Optional[str] = None
-    head_info: List[str] = field(default_factory=list)
-    head_cpu_requests: Union[int, str] = 2
-    head_cpu_limits: Union[int, str] = 2
-    head_cpus: Optional[Union[int, str]] = None  # Deprecating
-    head_memory_requests: Union[int, str] = 8
-    head_memory_limits: Union[int, str] = 8
-    head_memory: Optional[Union[int, str]] = None  # Deprecating
-    head_gpus: Optional[int] = None  # Deprecating
-    head_extended_resource_requests: Dict[str, Union[str, int]] = field(
-        default_factory=dict
-    )
-    machine_types: List[str] = field(
-        default_factory=list
-    )  # ["m4.xlarge", "g4dn.xlarge"]
-    worker_cpu_requests: Union[int, str] = 1
-    worker_cpu_limits: Union[int, str] = 1
-    min_cpus: Optional[Union[int, str]] = None  # Deprecating
-    max_cpus: Optional[Union[int, str]] = None  # Deprecating
-    num_workers: int = 1
-    worker_memory_requests: Union[int, str] = 2
-    worker_memory_limits: Union[int, str] = 2
-    min_memory: Optional[Union[int, str]] = None  # Deprecating
-    max_memory: Optional[Union[int, str]] = None  # Deprecating
-    num_gpus: Optional[int] = None  # Deprecating
-    template: str = f"{dir}/templates/base-template.yaml"
-    appwrapper: bool = False
-    envs: Dict[str, str] = field(default_factory=dict)
-    image: str = ""
-    image_pull_secrets: List[str] = field(default_factory=list)
-    write_to_file: bool = False
-    verify_tls: bool = True
-    labels: Dict[str, str] = field(default_factory=dict)
-    worker_extended_resource_requests: Dict[str, Union[str, int]] = field(
-        default_factory=dict
-    )
-    extended_resource_mapping: Dict[str, str] = field(default_factory=dict)
-    overwrite_default_resource_mapping: bool = False
-    local_queue: Optional[str] = None
-
-    def __post_init__(self):
-        if not self.verify_tls:
-            print(
-                "Warning: TLS verification has been disabled - Endpoint checks will be bypassed"
-            )
-
-        self._validate_types()
-        self._memory_to_string()
-        self._str_mem_no_unit_add_GB()
-        self._memory_to_resource()
-        self._cpu_to_resource()
-        self._gpu_to_resource()
-        self._combine_extended_resource_mapping()
-        self._validate_extended_resource_requests(self.head_extended_resource_requests)
-        self._validate_extended_resource_requests(
-            self.worker_extended_resource_requests
-        )
-
-    def _combine_extended_resource_mapping(self):
-        if overwritten := set(self.extended_resource_mapping.keys()).intersection(
-            DEFAULT_RESOURCE_MAPPING.keys()
-        ):
-            if self.overwrite_default_resource_mapping:
-                warnings.warn(
-                    f"Overwriting default resource mapping for {overwritten}",
-                    UserWarning,
-                )
-            else:
-                raise ValueError(
-                    f"Resource mapping already exists for {overwritten}, set overwrite_default_resource_mapping to True to overwrite"
-                )
-        self.extended_resource_mapping = {
-            **DEFAULT_RESOURCE_MAPPING,
-            **self.extended_resource_mapping,
-        }
-
-    def _validate_extended_resource_requests(self, extended_resources: Dict[str, int]):
-        for k in extended_resources.keys():
-            if k not in self.extended_resource_mapping.keys():
-                raise ValueError(
-                    f"extended resource '{k}' not found in extended_resource_mapping, available resources are {list(self.extended_resource_mapping.keys())}, to add more supported resources use extended_resource_mapping. i.e. extended_resource_mapping = {{'{k}': 'FOO_BAR'}}"
-                )
-
-    def _gpu_to_resource(self):
-        if self.head_gpus:
-            warnings.warn(
-                f"head_gpus is being deprecated, replacing with head_extended_resource_requests['nvidia.com/gpu'] = {self.head_gpus}"
-            )
-            if "nvidia.com/gpu" in self.head_extended_resource_requests:
-                raise ValueError(
-                    "nvidia.com/gpu already exists in head_extended_resource_requests"
-                )
-            self.head_extended_resource_requests["nvidia.com/gpu"] = self.head_gpus
-        if self.num_gpus:
-            warnings.warn(
-                f"num_gpus is being deprecated, replacing with worker_extended_resource_requests['nvidia.com/gpu'] = {self.num_gpus}"
-            )
-            if "nvidia.com/gpu" in self.worker_extended_resource_requests:
-                raise ValueError(
-                    "nvidia.com/gpu already exists in worker_extended_resource_requests"
-                )
-            self.worker_extended_resource_requests["nvidia.com/gpu"] = self.num_gpus
-
-    def _str_mem_no_unit_add_GB(self):
-        if isinstance(self.head_memory, str) and self.head_memory.isdecimal():
-            self.head_memory = f"{self.head_memory}G"
-        if (
-            isinstance(self.worker_memory_requests, str)
-            and self.worker_memory_requests.isdecimal()
-        ):
-            self.worker_memory_requests = f"{self.worker_memory_requests}G"
-        if (
-            isinstance(self.worker_memory_limits, str)
-            and self.worker_memory_limits.isdecimal()
-        ):
-            self.worker_memory_limits = f"{self.worker_memory_limits}G"
-
-    def _memory_to_string(self):
-        if isinstance(self.head_memory_requests, int):
-            self.head_memory_requests = f"{self.head_memory_requests}G"
-        if isinstance(self.head_memory_limits, int):
-            self.head_memory_limits = f"{self.head_memory_limits}G"
-        if isinstance(self.worker_memory_requests, int):
-            self.worker_memory_requests = f"{self.worker_memory_requests}G"
-        if isinstance(self.worker_memory_limits, int):
-            self.worker_memory_limits = f"{self.worker_memory_limits}G"
-
-    def _cpu_to_resource(self):
-        if self.head_cpus:
-            warnings.warn(
-                "head_cpus is being deprecated, use head_cpu_requests and head_cpu_limits"
-            )
-            self.head_cpu_requests = self.head_cpu_limits = self.head_cpus
-        if self.min_cpus:
-            warnings.warn("min_cpus is being deprecated, use worker_cpu_requests")
-            self.worker_cpu_requests = self.min_cpus
-        if self.max_cpus:
-            warnings.warn("max_cpus is being deprecated, use worker_cpu_limits")
-            self.worker_cpu_limits = self.max_cpus
-
-    def _memory_to_resource(self):
-        if self.head_memory:
-            warnings.warn(
-                "head_memory is being deprecated, use head_memory_requests and head_memory_limits"
-            )
-            self.head_memory_requests = self.head_memory_limits = self.head_memory
-        if self.min_memory:
-            warnings.warn("min_memory is being deprecated, use worker_memory_requests")
-            self.worker_memory_requests = f"{self.min_memory}G"
-        if self.max_memory:
-            warnings.warn("max_memory is being deprecated, use worker_memory_limits")
-            self.worker_memory_limits = f"{self.max_memory}G"
-
-    def _validate_types(self):
-        """Validate the types of all fields in the ClusterConfiguration dataclass."""
-        for field_info in fields(self):
-            value = getattr(self, field_info.name)
-            expected_type = field_info.type
-            if not self._is_type(value, expected_type):
-                raise TypeError(
-                    f"'{field_info.name}' should be of type {expected_type}"
-                )
-
-    @staticmethod
-    def _is_type(value, expected_type):
-        """Check if the value matches the expected type."""
-
-        def check_type(value, expected_type):
-            origin_type = get_origin(expected_type)
-            args = get_args(expected_type)
-            if origin_type is Union:
-                return any(check_type(value, union_type) for union_type in args)
-            if origin_type is list:
-                return all(check_type(elem, args[0]) for elem in value)
-            if origin_type is dict:
-                return all(
-                    check_type(k, args[0]) and check_type(v, args[1])
-                    for k, v in value.items()
-                )
-            if origin_type is tuple:
-                return all(check_type(elem, etype) for elem, etype in zip(value, args))
-            return isinstance(value, expected_type)
-
-        return check_type(value, expected_type)
    
-
    
-
    Class variables
    
-
    
-
    var appwrapper : bool
    
-
    
-
    
-
    
-
    var envs : Dict[str, str]
    
-
    
-
    
-
    
-
    var extended_resource_mapping : Dict[str, str]
    
-
    
-
    
-
    
-
    var head_cpu_limits : Union[int, str]
    
-
    
-
    
-
    
-
    var head_cpu_requests : Union[int, str]
    
-
    
-
    
-
    
-
    var head_cpus : Union[int, str, ForwardRef(None)]
    
-
    
-
    
-
    
-
    var head_extended_resource_requests : Dict[str, Union[str, int]]
    
-
    
-
    
-
    
-
    var head_gpus : Optional[int]
    
-
    
-
    
-
    
-
    var head_info : List[str]
    
-
    
-
    
-
    
-
    var head_memory : Union[int, str, ForwardRef(None)]
    
-
    
-
    
-
    
-
    var head_memory_limits : Union[int, str]
    
-
    
-
    
-
    
-
    var head_memory_requests : Union[int, str]
    
-
    
-
    
-
    
-
    var image : str
    
-
    
-
    
-
    
-
    var image_pull_secrets : List[str]
    
-
    
-
    
-
    
-
    var labels : Dict[str, str]
    
-
    
-
    
-
    
-
    var local_queue : Optional[str]
    
-
    
-
    
-
    
-
    var machine_types : List[str]
    
-
    
-
    
-
    
-
    var max_cpus : Union[int, str, ForwardRef(None)]
    
-
    
-
    
-
    
-
    var max_memory : Union[int, str, ForwardRef(None)]
    
-
    
-
    
-
    
-
    var min_cpus : Union[int, str, ForwardRef(None)]
    
-
    
-
    
-
    
-
    var min_memory : Union[int, str, ForwardRef(None)]
    
-
    
-
    
-
    
-
    var name : str
    
-
    
-
    
-
    
-
    var namespace : Optional[str]
    
-
    
-
    
-
    
-
    var num_gpus : Optional[int]
    
-
    
-
    
-
    
-
    var num_workers : int
    
-
    
-
    
-
    
-
    var overwrite_default_resource_mapping : bool
    
-
    
-
    
-
    
-
    var template : str
    
-
    
-
    
-
    
-
    var verify_tls : bool
    
-
    
-
    
-
    
-
    var worker_cpu_limits : Union[int, str]
    
-
    
-
    
-
    
-
    var worker_cpu_requests : Union[int, str]
    
-
    
-
    
-
    
-
    var worker_extended_resource_requests : Dict[str, Union[str, int]]
    
-
    
-
    
-
    
-
    var worker_memory_limits : Union[int, str]
    
-
    
-
    
-
    
-
    var worker_memory_requests : Union[int, str]
    
-
    
-
    
-
    
-
    var write_to_file : bool
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/cluster/index.html b/docs/detailed-documentation/cluster/index.html
deleted file mode 100644
index f8c04fa2..00000000
--- a/docs/detailed-documentation/cluster/index.html
+++ /dev/null
@@ -1,129 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.cluster API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.cluster
    
-
    
-
    
-
    
-
-Expand source code
-
-
    from .auth import (
-    Authentication,
-    KubeConfiguration,
-    TokenAuthentication,
-    KubeConfigFileAuthentication,
-)
-
-from .model import (
-    RayClusterStatus,
-    AppWrapperStatus,
-    CodeFlareClusterStatus,
-    RayCluster,
-    AppWrapper,
-)
-
-from .cluster import (
-    Cluster,
-    ClusterConfiguration,
-    get_cluster,
-    list_all_queued,
-    list_all_clusters,
-)
-
-from .widgets import (
-    view_clusters,
-)
-
-from .awload import AWManager
    
-
    
-
    
-
    
-
    Sub-modules
    
-
    
-
    codeflare_sdk.cluster.auth
    
-
    
-
    The auth sub-module contains the definitions for the Authentication objects, which represent
-the methods by which a user can authenticate to their …
    
-
    
-
    codeflare_sdk.cluster.awload
    
-
    
-
    The awload sub-module contains the definition of the AWManager object, which handles
-submission and deletion of existing AppWrappers from a user's …
    
-
    
-
    codeflare_sdk.cluster.cluster
    
-
    
-
    The cluster sub-module contains the definition of the Cluster object, which represents
-the resources requested by the user. It also contains functions …
    
-
    
-
    codeflare_sdk.cluster.config
    
-
    
-
    The config sub-module contains the definition of the ClusterConfiguration dataclass,
-which is used to specify resource requirements and other details …
    
-
    
-
    codeflare_sdk.cluster.model
    
-
    
-
    The model sub-module defines Enums containing information for Ray cluster
-states and AppWrapper states, and CodeFlare cluster states, as well as
-…
    
-
    
-
    codeflare_sdk.cluster.widgets
    
-
    
-
    The widgets sub-module contains the ui widgets created using the ipywidgets package.
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/cluster/model.html b/docs/detailed-documentation/cluster/model.html
deleted file mode 100644
index 7d87e34f..00000000
--- a/docs/detailed-documentation/cluster/model.html
+++ /dev/null
@@ -1,531 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.cluster.model API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.cluster.model
    
-
    
-
    
-
    The model sub-module defines Enums containing information for Ray cluster
-states and AppWrapper states, and CodeFlare cluster states, as well as
-dataclasses to store information for Ray clusters and AppWrappers.
    
-
    
-
-Expand source code
-
-
    # Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-The model sub-module defines Enums containing information for Ray cluster
-states and AppWrapper states, and CodeFlare cluster states, as well as
-dataclasses to store information for Ray clusters and AppWrappers.
-"""
-
-from dataclasses import dataclass, field
-from enum import Enum
-import typing
-from typing import Union
-
-
-class RayClusterStatus(Enum):
-    """
-    Defines the possible reportable states of a Ray cluster.
-    """
-
-    # https://github.com/ray-project/kuberay/blob/master/ray-operator/apis/ray/v1/raycluster_types.go#L112-L117
-    READY = "ready"
-    UNHEALTHY = "unhealthy"
-    FAILED = "failed"
-    UNKNOWN = "unknown"
-    SUSPENDED = "suspended"
-
-
-class AppWrapperStatus(Enum):
-    """
-    Defines the possible reportable phases of an AppWrapper.
-    """
-
-    SUSPENDED = "suspended"
-    RESUMING = "resuming"
-    RUNNING = "running"
-    RESETTING = "resetting"
-    SUSPENDING = "suspending"
-    SUCCEEDED = "succeeded"
-    FAILED = "failed"
-    TERMINATING = "terminating"
-
-
-class CodeFlareClusterStatus(Enum):
-    """
-    Defines the possible reportable states of a Codeflare cluster.
-    """
-
-    READY = 1
-    STARTING = 2
-    QUEUED = 3
-    QUEUEING = 4
-    FAILED = 5
-    UNKNOWN = 6
-    SUSPENDED = 7
-
-
-@dataclass
-class RayCluster:
-    """
-    For storing information about a Ray cluster.
-    """
-
-    name: str
-    status: RayClusterStatus
-    head_cpu_requests: int
-    head_cpu_limits: int
-    head_mem_requests: str
-    head_mem_limits: str
-    num_workers: int
-    worker_mem_requests: str
-    worker_mem_limits: str
-    worker_cpu_requests: Union[int, str]
-    worker_cpu_limits: Union[int, str]
-    namespace: str
-    dashboard: str
-    worker_extended_resources: typing.Dict[str, int] = field(default_factory=dict)
-    head_extended_resources: typing.Dict[str, int] = field(default_factory=dict)
-
-
-@dataclass
-class AppWrapper:
-    """
-    For storing information about an AppWrapper.
-    """
-
-    name: str
-    status: AppWrapperStatus
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Classes
    
-
    
-
    
-class AppWrapper
-(name: str, status: AppWrapperStatus)
-
    
-
    
-
    For storing information about an AppWrapper.
    
-
    
-
-Expand source code
-
-
    @dataclass
-class AppWrapper:
-    """
-    For storing information about an AppWrapper.
-    """
-
-    name: str
-    status: AppWrapperStatus
    
-
    
-
    Class variables
    
-
    
-
    var name : str
    
-
    
-
    
-
    
-
    var status : AppWrapperStatus
    
-
    
-
    
-
    
-
    
-
    
-
    
-class AppWrapperStatus
-(value, names=None, *, module=None, qualname=None, type=None, start=1)
-
    
-
    
-
    Defines the possible reportable phases of an AppWrapper.
    
-
    
-
-Expand source code
-
-
    class AppWrapperStatus(Enum):
-    """
-    Defines the possible reportable phases of an AppWrapper.
-    """
-
-    SUSPENDED = "suspended"
-    RESUMING = "resuming"
-    RUNNING = "running"
-    RESETTING = "resetting"
-    SUSPENDING = "suspending"
-    SUCCEEDED = "succeeded"
-    FAILED = "failed"
-    TERMINATING = "terminating"
    
-
    
-
    Ancestors
    
-
      
-
    • enum.Enum
      • 
-
    
-
    Class variables
    
-
    
-
    var FAILED
    
-
    
-
    
-
    
-
    var RESETTING
    
-
    
-
    
-
    
-
    var RESUMING
    
-
    
-
    
-
    
-
    var RUNNING
    
-
    
-
    
-
    
-
    var SUCCEEDED
    
-
    
-
    
-
    
-
    var SUSPENDED
    
-
    
-
    
-
    
-
    var SUSPENDING
    
-
    
-
    
-
    
-
    var TERMINATING
    
-
    
-
    
-
    
-
    
-
    
-
    
-class CodeFlareClusterStatus
-(value, names=None, *, module=None, qualname=None, type=None, start=1)
-
    
-
    
-
    Defines the possible reportable states of a Codeflare cluster.
    
-
    
-
-Expand source code
-
-
    class CodeFlareClusterStatus(Enum):
-    """
-    Defines the possible reportable states of a Codeflare cluster.
-    """
-
-    READY = 1
-    STARTING = 2
-    QUEUED = 3
-    QUEUEING = 4
-    FAILED = 5
-    UNKNOWN = 6
-    SUSPENDED = 7
    
-
    
-
    Ancestors
    
-
      
-
    • enum.Enum
      • 
-
    
-
    Class variables
    
-
    
-
    var FAILED
    
-
    
-
    
-
    
-
    var QUEUED
    
-
    
-
    
-
    
-
    var QUEUEING
    
-
    
-
    
-
    
-
    var READY
    
-
    
-
    
-
    
-
    var STARTING
    
-
    
-
    
-
    
-
    var SUSPENDED
    
-
    
-
    
-
    
-
    var UNKNOWN
    
-
    
-
    
-
    
-
    
-
    
-
    
-class RayCluster
-(name: str, status: RayClusterStatus, head_cpu_requests: int, head_cpu_limits: int, head_mem_requests: str, head_mem_limits: str, num_workers: int, worker_mem_requests: str, worker_mem_limits: str, worker_cpu_requests: Union[int, str], worker_cpu_limits: Union[int, str], namespace: str, dashboard: str, worker_extended_resources: Dict[str, int] = <factory>, head_extended_resources: Dict[str, int] = <factory>)
-
    
-
    
-
    For storing information about a Ray cluster.
    
-
    
-
-Expand source code
-
-
    @dataclass
-class RayCluster:
-    """
-    For storing information about a Ray cluster.
-    """
-
-    name: str
-    status: RayClusterStatus
-    head_cpu_requests: int
-    head_cpu_limits: int
-    head_mem_requests: str
-    head_mem_limits: str
-    num_workers: int
-    worker_mem_requests: str
-    worker_mem_limits: str
-    worker_cpu_requests: Union[int, str]
-    worker_cpu_limits: Union[int, str]
-    namespace: str
-    dashboard: str
-    worker_extended_resources: typing.Dict[str, int] = field(default_factory=dict)
-    head_extended_resources: typing.Dict[str, int] = field(default_factory=dict)
    
-
    
-
    Class variables
    
-
    
-
    var dashboard : str
    
-
    
-
    
-
    
-
    var head_cpu_limits : int
    
-
    
-
    
-
    
-
    var head_cpu_requests : int
    
-
    
-
    
-
    
-
    var head_extended_resources : Dict[str, int]
    
-
    
-
    
-
    
-
    var head_mem_limits : str
    
-
    
-
    
-
    
-
    var head_mem_requests : str
    
-
    
-
    
-
    
-
    var name : str
    
-
    
-
    
-
    
-
    var namespace : str
    
-
    
-
    
-
    
-
    var num_workers : int
    
-
    
-
    
-
    
-
    var status : RayClusterStatus
    
-
    
-
    
-
    
-
    var worker_cpu_limits : Union[int, str]
    
-
    
-
    
-
    
-
    var worker_cpu_requests : Union[int, str]
    
-
    
-
    
-
    
-
    var worker_extended_resources : Dict[str, int]
    
-
    
-
    
-
    
-
    var worker_mem_limits : str
    
-
    
-
    
-
    
-
    var worker_mem_requests : str
    
-
    
-
    
-
    
-
    
-
    
-
    
-class RayClusterStatus
-(value, names=None, *, module=None, qualname=None, type=None, start=1)
-
    
-
    
-
    Defines the possible reportable states of a Ray cluster.
    
-
    
-
-Expand source code
-
-
    class RayClusterStatus(Enum):
-    """
-    Defines the possible reportable states of a Ray cluster.
-    """
-
-    # https://github.com/ray-project/kuberay/blob/master/ray-operator/apis/ray/v1/raycluster_types.go#L112-L117
-    READY = "ready"
-    UNHEALTHY = "unhealthy"
-    FAILED = "failed"
-    UNKNOWN = "unknown"
-    SUSPENDED = "suspended"
    
-
    
-
    Ancestors
    
-
      
-
    • enum.Enum
      • 
-
    
-
    Class variables
    
-
    
-
    var FAILED
    
-
    
-
    
-
    
-
    var READY
    
-
    
-
    
-
    
-
    var SUSPENDED
    
-
    
-
    
-
    
-
    var UNHEALTHY
    
-
    
-
    
-
    
-
    var UNKNOWN
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/cluster/widgets.html b/docs/detailed-documentation/cluster/widgets.html
deleted file mode 100644
index b0334903..00000000
--- a/docs/detailed-documentation/cluster/widgets.html
+++ /dev/null
@@ -1,758 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.cluster.widgets API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.cluster.widgets
    
-
    
-
    
-
    The widgets sub-module contains the ui widgets created using the ipywidgets package.
    
-
    
-
-Expand source code
-
-
    # Copyright 2024 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-The widgets sub-module contains the ui widgets created using the ipywidgets package.
-"""
-import contextlib
-import io
-import os
-import warnings
-import time
-import codeflare_sdk
-from kubernetes import client
-from kubernetes.client.rest import ApiException
-import ipywidgets as widgets
-from IPython.display import display, HTML, Javascript
-import pandas as pd
-from .config import ClusterConfiguration
-from .model import RayClusterStatus
-from ..utils.kube_api_helpers import _kube_api_error_handling
-from .auth import config_check, get_api_client
-
-
-def cluster_up_down_buttons(cluster: "codeflare_sdk.cluster.Cluster") -> widgets.Button:
-    """
-    The cluster_up_down_buttons function returns two button widgets for a create and delete button.
-    The function uses the appwrapper bool to distinguish between resource type for the tool tip.
-    """
-    resource = "Ray Cluster"
-    if cluster.config.appwrapper:
-        resource = "AppWrapper"
-
-    up_button = widgets.Button(
-        description="Cluster Up",
-        tooltip=f"Create the {resource}",
-        icon="play",
-    )
-
-    delete_button = widgets.Button(
-        description="Cluster Down",
-        tooltip=f"Delete the {resource}",
-        icon="trash",
-    )
-
-    wait_ready_check = wait_ready_check_box()
-    output = widgets.Output()
-
-    # Display the buttons in an HBox wrapped in a VBox which includes the wait_ready Checkbox
-    button_display = widgets.HBox([up_button, delete_button])
-    display(widgets.VBox([button_display, wait_ready_check]), output)
-
-    def on_up_button_clicked(b):  # Handle the up button click event
-        with output:
-            output.clear_output()
-            cluster.up()
-
-            # If the wait_ready Checkbox is clicked(value == True) trigger the wait_ready function
-            if wait_ready_check.value:
-                cluster.wait_ready()
-
-    def on_down_button_clicked(b):  # Handle the down button click event
-        with output:
-            output.clear_output()
-            cluster.down()
-
-    up_button.on_click(on_up_button_clicked)
-    delete_button.on_click(on_down_button_clicked)
-
-
-def wait_ready_check_box():
-    """
-    The wait_ready_check_box function will return a checkbox widget used for waiting for the resource to be in the state READY.
-    """
-    wait_ready_check_box = widgets.Checkbox(
-        False,
-        description="Wait for Cluster?",
-    )
-    return wait_ready_check_box
-
-
-def is_notebook() -> bool:
-    """
-    The is_notebook function checks if Jupyter Notebook environment variables exist in the given environment and return True/False based on that.
-    """
-    if (
-        "PYDEVD_IPYTHON_COMPATIBLE_DEBUGGING" in os.environ
-        or "JPY_SESSION_NAME" in os.environ
-    ):  # If running Jupyter NBs in VsCode or RHOAI/ODH display UI buttons
-        return True
-    else:
-        return False
-
-
-def view_clusters(namespace: str = None):
-    """
-    view_clusters function will display existing clusters with their specs, and handle user interactions.
-    """
-    if not is_notebook():
-        warnings.warn(
-            "view_clusters can only be used in a Jupyter Notebook environment."
-        )
-        return  # Exit function if not in Jupyter Notebook
-
-    from .cluster import get_current_namespace
-
-    if not namespace:
-        namespace = get_current_namespace()
-
-    user_output = widgets.Output()
-    raycluster_data_output = widgets.Output()
-    url_output = widgets.Output()
-
-    ray_clusters_df = _fetch_cluster_data(namespace)
-    if ray_clusters_df.empty:
-        print(f"No clusters found in the {namespace} namespace.")
-        return
-
-    classification_widget = widgets.ToggleButtons(
-        options=ray_clusters_df["Name"].tolist(),
-        value=ray_clusters_df["Name"].tolist()[0],
-        description="Select an existing cluster:",
-    )
-    # Setting the initial value to trigger the event handler to display the cluster details.
-    initial_value = classification_widget.value
-    _on_cluster_click(
-        {"new": initial_value}, raycluster_data_output, namespace, classification_widget
-    )
-    classification_widget.observe(
-        lambda selection_change: _on_cluster_click(
-            selection_change, raycluster_data_output, namespace, classification_widget
-        ),
-        names="value",
-    )
-
-    # UI table buttons
-    delete_button = widgets.Button(
-        description="Delete Cluster",
-        icon="trash",
-        tooltip="Delete the selected cluster",
-    )
-    delete_button.on_click(
-        lambda b: _on_delete_button_click(
-            b,
-            classification_widget,
-            ray_clusters_df,
-            raycluster_data_output,
-            user_output,
-            delete_button,
-            list_jobs_button,
-            ray_dashboard_button,
-        )
-    )
-
-    list_jobs_button = widgets.Button(
-        description="View Jobs", icon="suitcase", tooltip="Open the Ray Job Dashboard"
-    )
-    list_jobs_button.on_click(
-        lambda b: _on_list_jobs_button_click(
-            b, classification_widget, ray_clusters_df, user_output, url_output
-        )
-    )
-
-    ray_dashboard_button = widgets.Button(
-        description="Open Ray Dashboard",
-        icon="dashboard",
-        tooltip="Open the Ray Dashboard in a new tab",
-        layout=widgets.Layout(width="auto"),
-    )
-    ray_dashboard_button.on_click(
-        lambda b: _on_ray_dashboard_button_click(
-            b, classification_widget, ray_clusters_df, user_output, url_output
-        )
-    )
-
-    display(widgets.VBox([classification_widget, raycluster_data_output]))
-    display(
-        widgets.HBox([delete_button, list_jobs_button, ray_dashboard_button]),
-        url_output,
-        user_output,
-    )
-
-
-def _on_cluster_click(
-    selection_change,
-    raycluster_data_output: widgets.Output,
-    namespace: str,
-    classification_widget: widgets.ToggleButtons,
-):
-    """
-    _on_cluster_click handles the event when a cluster is selected from the toggle buttons, updating the output with cluster details.
-    """
-    new_value = selection_change["new"]
-    raycluster_data_output.clear_output()
-    ray_clusters_df = _fetch_cluster_data(namespace)
-    classification_widget.options = ray_clusters_df["Name"].tolist()
-    with raycluster_data_output:
-        display(
-            HTML(
-                ray_clusters_df[ray_clusters_df["Name"] == new_value][
-                    [
-                        "Name",
-                        "Namespace",
-                        "Num Workers",
-                        "Head GPUs",
-                        "Head CPU Req~Lim",
-                        "Head Memory Req~Lim",
-                        "Worker GPUs",
-                        "Worker CPU Req~Lim",
-                        "Worker Memory Req~Lim",
-                        "status",
-                    ]
-                ].to_html(escape=False, index=False, border=2)
-            )
-        )
-
-
-def _on_delete_button_click(
-    b,
-    classification_widget: widgets.ToggleButtons,
-    ray_clusters_df: pd.DataFrame,
-    raycluster_data_output: widgets.Output,
-    user_output: widgets.Output,
-    delete_button: widgets.Button,
-    list_jobs_button: widgets.Button,
-    ray_dashboard_button: widgets.Button,
-):
-    """
-    _on_delete_button_click handles the event when the Delete Button is clicked, deleting the selected cluster.
-    """
-    cluster_name = classification_widget.value
-    namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
-        "Namespace"
-    ].values[0]
-
-    _delete_cluster(cluster_name, namespace)
-
-    with user_output:
-        user_output.clear_output()
-        print(
-            f"Cluster {cluster_name} in the {namespace} namespace was deleted successfully."
-        )
-
-    # Refresh the dataframe
-    new_df = _fetch_cluster_data(namespace)
-    if new_df.empty:
-        classification_widget.close()
-        delete_button.close()
-        list_jobs_button.close()
-        ray_dashboard_button.close()
-        with raycluster_data_output:
-            raycluster_data_output.clear_output()
-            print(f"No clusters found in the {namespace} namespace.")
-    else:
-        classification_widget.options = new_df["Name"].tolist()
-
-
-def _on_ray_dashboard_button_click(
-    b,
-    classification_widget: widgets.ToggleButtons,
-    ray_clusters_df: pd.DataFrame,
-    user_output: widgets.Output,
-    url_output: widgets.Output,
-):
-    """
-    _on_ray_dashboard_button_click handles the event when the Open Ray Dashboard button is clicked, opening the Ray Dashboard in a new tab
-    """
-    from codeflare_sdk.cluster import Cluster
-
-    cluster_name = classification_widget.value
-    namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
-        "Namespace"
-    ].values[0]
-
-    # Suppress from Cluster Object initialisation widgets and outputs
-    with widgets.Output(), contextlib.redirect_stdout(
-        io.StringIO()
-    ), contextlib.redirect_stderr(io.StringIO()):
-        cluster = Cluster(ClusterConfiguration(cluster_name, namespace))
-    dashboard_url = cluster.cluster_dashboard_uri()
-
-    with user_output:
-        user_output.clear_output()
-        print(f"Opening Ray Dashboard for {cluster_name} cluster:\n{dashboard_url}")
-    with url_output:
-        display(Javascript(f'window.open("{dashboard_url}", "_blank");'))
-
-
-def _on_list_jobs_button_click(
-    b,
-    classification_widget: widgets.ToggleButtons,
-    ray_clusters_df: pd.DataFrame,
-    user_output: widgets.Output,
-    url_output: widgets.Output,
-):
-    """
-    _on_list_jobs_button_click handles the event when the View Jobs button is clicked, opening the Ray Jobs Dashboard in a new tab
-    """
-    from codeflare_sdk.cluster import Cluster
-
-    cluster_name = classification_widget.value
-    namespace = ray_clusters_df[ray_clusters_df["Name"] == classification_widget.value][
-        "Namespace"
-    ].values[0]
-
-    # Suppress from Cluster Object initialisation widgets and outputs
-    with widgets.Output(), contextlib.redirect_stdout(
-        io.StringIO()
-    ), contextlib.redirect_stderr(io.StringIO()):
-        cluster = Cluster(ClusterConfiguration(cluster_name, namespace))
-    dashboard_url = cluster.cluster_dashboard_uri()
-
-    with user_output:
-        user_output.clear_output()
-        print(
-            f"Opening Ray Jobs Dashboard for {cluster_name} cluster:\n{dashboard_url}/#/jobs"
-        )
-    with url_output:
-        display(Javascript(f'window.open("{dashboard_url}/#/jobs", "_blank");'))
-
-
-def _delete_cluster(
-    cluster_name: str,
-    namespace: str,
-    timeout: int = 5,
-    interval: int = 1,
-):
-    """
-    _delete_cluster function deletes the cluster with the given name and namespace.
-    It optionally waits for the cluster to be deleted.
-    """
-    from .cluster import _check_aw_exists
-
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-
-        if _check_aw_exists(cluster_name, namespace):
-            api_instance.delete_namespaced_custom_object(
-                group="workload.codeflare.dev",
-                version="v1beta2",
-                namespace=namespace,
-                plural="appwrappers",
-                name=cluster_name,
-            )
-            group = "workload.codeflare.dev"
-            version = "v1beta2"
-            plural = "appwrappers"
-        else:
-            api_instance.delete_namespaced_custom_object(
-                group="ray.io",
-                version="v1",
-                namespace=namespace,
-                plural="rayclusters",
-                name=cluster_name,
-            )
-            group = "ray.io"
-            version = "v1"
-            plural = "rayclusters"
-
-        # Wait for the resource to be deleted
-        while timeout > 0:
-            try:
-                api_instance.get_namespaced_custom_object(
-                    group=group,
-                    version=version,
-                    namespace=namespace,
-                    plural=plural,
-                    name=cluster_name,
-                )
-                # Retry if resource still exists
-                time.sleep(interval)
-                timeout -= interval
-                if timeout <= 0:
-                    raise TimeoutError(
-                        f"Timeout waiting for {cluster_name} to be deleted."
-                    )
-            except ApiException as e:
-                # Resource is deleted
-                if e.status == 404:
-                    break
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-
-
-def _fetch_cluster_data(namespace):
-    """
-    _fetch_cluster_data function fetches all clusters and their spec in a given namespace and returns a DataFrame.
-    """
-    from .cluster import list_all_clusters
-
-    rayclusters = list_all_clusters(namespace, False)
-    if not rayclusters:
-        return pd.DataFrame()
-    names = [item.name for item in rayclusters]
-    namespaces = [item.namespace for item in rayclusters]
-    num_workers = [item.num_workers for item in rayclusters]
-    head_extended_resources = [
-        f"{list(item.head_extended_resources.keys())[0]}: {list(item.head_extended_resources.values())[0]}"
-        if item.head_extended_resources
-        else "0"
-        for item in rayclusters
-    ]
-    worker_extended_resources = [
-        f"{list(item.worker_extended_resources.keys())[0]}: {list(item.worker_extended_resources.values())[0]}"
-        if item.worker_extended_resources
-        else "0"
-        for item in rayclusters
-    ]
-    head_cpu_requests = [
-        item.head_cpu_requests if item.head_cpu_requests else 0 for item in rayclusters
-    ]
-    head_cpu_limits = [
-        item.head_cpu_limits if item.head_cpu_limits else 0 for item in rayclusters
-    ]
-    head_cpu_rl = [
-        f"{requests}~{limits}"
-        for requests, limits in zip(head_cpu_requests, head_cpu_limits)
-    ]
-    head_mem_requests = [
-        item.head_mem_requests if item.head_mem_requests else 0 for item in rayclusters
-    ]
-    head_mem_limits = [
-        item.head_mem_limits if item.head_mem_limits else 0 for item in rayclusters
-    ]
-    head_mem_rl = [
-        f"{requests}~{limits}"
-        for requests, limits in zip(head_mem_requests, head_mem_limits)
-    ]
-    worker_cpu_requests = [
-        item.worker_cpu_requests if item.worker_cpu_requests else 0
-        for item in rayclusters
-    ]
-    worker_cpu_limits = [
-        item.worker_cpu_limits if item.worker_cpu_limits else 0 for item in rayclusters
-    ]
-    worker_cpu_rl = [
-        f"{requests}~{limits}"
-        for requests, limits in zip(worker_cpu_requests, worker_cpu_limits)
-    ]
-    worker_mem_requests = [
-        item.worker_mem_requests if item.worker_mem_requests else 0
-        for item in rayclusters
-    ]
-    worker_mem_limits = [
-        item.worker_mem_limits if item.worker_mem_limits else 0 for item in rayclusters
-    ]
-    worker_mem_rl = [
-        f"{requests}~{limits}"
-        for requests, limits in zip(worker_mem_requests, worker_mem_limits)
-    ]
-    status = [item.status.name for item in rayclusters]
-
-    status = [_format_status(item.status) for item in rayclusters]
-
-    data = {
-        "Name": names,
-        "Namespace": namespaces,
-        "Num Workers": num_workers,
-        "Head GPUs": head_extended_resources,
-        "Worker GPUs": worker_extended_resources,
-        "Head CPU Req~Lim": head_cpu_rl,
-        "Head Memory Req~Lim": head_mem_rl,
-        "Worker CPU Req~Lim": worker_cpu_rl,
-        "Worker Memory Req~Lim": worker_mem_rl,
-        "status": status,
-    }
-    return pd.DataFrame(data)
-
-
-def _format_status(status):
-    """
-    _format_status function formats the status enum.
-    """
-    status_map = {
-        RayClusterStatus.READY: '<span style="color: green;">Ready ✓</span>',
-        RayClusterStatus.SUSPENDED: '<span style="color: #007BFF;">Suspended ❄️</span>',
-        RayClusterStatus.FAILED: '<span style="color: red;">Failed ✗</span>',
-        RayClusterStatus.UNHEALTHY: '<span style="color: purple;">Unhealthy</span>',
-        RayClusterStatus.UNKNOWN: '<span style="color: purple;">Unknown</span>',
-    }
-    return status_map.get(status, status)
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Functions
    
-
    
-
    
-def cluster_up_down_buttons(cluster: codeflare_sdk.cluster.Cluster) ‑> ipywidgets.widgets.widget_button.Button
-
    
-
    
-
    The cluster_up_down_buttons function returns two button widgets for a create and delete button.
-The function uses the appwrapper bool to distinguish between resource type for the tool tip.
    
-
    
-
-Expand source code
-
-
    def cluster_up_down_buttons(cluster: "codeflare_sdk.cluster.Cluster") -> widgets.Button:
-    """
-    The cluster_up_down_buttons function returns two button widgets for a create and delete button.
-    The function uses the appwrapper bool to distinguish between resource type for the tool tip.
-    """
-    resource = "Ray Cluster"
-    if cluster.config.appwrapper:
-        resource = "AppWrapper"
-
-    up_button = widgets.Button(
-        description="Cluster Up",
-        tooltip=f"Create the {resource}",
-        icon="play",
-    )
-
-    delete_button = widgets.Button(
-        description="Cluster Down",
-        tooltip=f"Delete the {resource}",
-        icon="trash",
-    )
-
-    wait_ready_check = wait_ready_check_box()
-    output = widgets.Output()
-
-    # Display the buttons in an HBox wrapped in a VBox which includes the wait_ready Checkbox
-    button_display = widgets.HBox([up_button, delete_button])
-    display(widgets.VBox([button_display, wait_ready_check]), output)
-
-    def on_up_button_clicked(b):  # Handle the up button click event
-        with output:
-            output.clear_output()
-            cluster.up()
-
-            # If the wait_ready Checkbox is clicked(value == True) trigger the wait_ready function
-            if wait_ready_check.value:
-                cluster.wait_ready()
-
-    def on_down_button_clicked(b):  # Handle the down button click event
-        with output:
-            output.clear_output()
-            cluster.down()
-
-    up_button.on_click(on_up_button_clicked)
-    delete_button.on_click(on_down_button_clicked)
    
-
    
-
    
-
    
-def is_notebook() ‑> bool
-
    
-
    
-
    The is_notebook function checks if Jupyter Notebook environment variables exist in the given environment and return True/False based on that.
    
-
    
-
-Expand source code
-
-
    def is_notebook() -> bool:
-    """
-    The is_notebook function checks if Jupyter Notebook environment variables exist in the given environment and return True/False based on that.
-    """
-    if (
-        "PYDEVD_IPYTHON_COMPATIBLE_DEBUGGING" in os.environ
-        or "JPY_SESSION_NAME" in os.environ
-    ):  # If running Jupyter NBs in VsCode or RHOAI/ODH display UI buttons
-        return True
-    else:
-        return False
    
-
    
-
    
-
    
-def view_clusters(namespace: str = None)
-
    
-
    
-
    view_clusters function will display existing clusters with their specs, and handle user interactions.
    
-
    
-
-Expand source code
-
-
    def view_clusters(namespace: str = None):
-    """
-    view_clusters function will display existing clusters with their specs, and handle user interactions.
-    """
-    if not is_notebook():
-        warnings.warn(
-            "view_clusters can only be used in a Jupyter Notebook environment."
-        )
-        return  # Exit function if not in Jupyter Notebook
-
-    from .cluster import get_current_namespace
-
-    if not namespace:
-        namespace = get_current_namespace()
-
-    user_output = widgets.Output()
-    raycluster_data_output = widgets.Output()
-    url_output = widgets.Output()
-
-    ray_clusters_df = _fetch_cluster_data(namespace)
-    if ray_clusters_df.empty:
-        print(f"No clusters found in the {namespace} namespace.")
-        return
-
-    classification_widget = widgets.ToggleButtons(
-        options=ray_clusters_df["Name"].tolist(),
-        value=ray_clusters_df["Name"].tolist()[0],
-        description="Select an existing cluster:",
-    )
-    # Setting the initial value to trigger the event handler to display the cluster details.
-    initial_value = classification_widget.value
-    _on_cluster_click(
-        {"new": initial_value}, raycluster_data_output, namespace, classification_widget
-    )
-    classification_widget.observe(
-        lambda selection_change: _on_cluster_click(
-            selection_change, raycluster_data_output, namespace, classification_widget
-        ),
-        names="value",
-    )
-
-    # UI table buttons
-    delete_button = widgets.Button(
-        description="Delete Cluster",
-        icon="trash",
-        tooltip="Delete the selected cluster",
-    )
-    delete_button.on_click(
-        lambda b: _on_delete_button_click(
-            b,
-            classification_widget,
-            ray_clusters_df,
-            raycluster_data_output,
-            user_output,
-            delete_button,
-            list_jobs_button,
-            ray_dashboard_button,
-        )
-    )
-
-    list_jobs_button = widgets.Button(
-        description="View Jobs", icon="suitcase", tooltip="Open the Ray Job Dashboard"
-    )
-    list_jobs_button.on_click(
-        lambda b: _on_list_jobs_button_click(
-            b, classification_widget, ray_clusters_df, user_output, url_output
-        )
-    )
-
-    ray_dashboard_button = widgets.Button(
-        description="Open Ray Dashboard",
-        icon="dashboard",
-        tooltip="Open the Ray Dashboard in a new tab",
-        layout=widgets.Layout(width="auto"),
-    )
-    ray_dashboard_button.on_click(
-        lambda b: _on_ray_dashboard_button_click(
-            b, classification_widget, ray_clusters_df, user_output, url_output
-        )
-    )
-
-    display(widgets.VBox([classification_widget, raycluster_data_output]))
-    display(
-        widgets.HBox([delete_button, list_jobs_button, ray_dashboard_button]),
-        url_output,
-        user_output,
-    )
    
-
    
-
    
-
    
-def wait_ready_check_box()
-
    
-
    
-
    The wait_ready_check_box function will return a checkbox widget used for waiting for the resource to be in the state READY.
    
-
    
-
-Expand source code
-
-
    def wait_ready_check_box():
-    """
-    The wait_ready_check_box function will return a checkbox widget used for waiting for the resource to be in the state READY.
-    """
-    wait_ready_check_box = widgets.Checkbox(
-        False,
-        description="Wait for Cluster?",
-    )
-    return wait_ready_check_box
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/index.html b/docs/detailed-documentation/index.html
deleted file mode 100644
index 45000719..00000000
--- a/docs/detailed-documentation/index.html
+++ /dev/null
@@ -1,106 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Package codeflare_sdk
    
-
    
-
    
-
    
-
-Expand source code
-
-
    from .cluster import (
-    Authentication,
-    KubeConfiguration,
-    TokenAuthentication,
-    KubeConfigFileAuthentication,
-    AWManager,
-    Cluster,
-    ClusterConfiguration,
-    RayClusterStatus,
-    AppWrapperStatus,
-    CodeFlareClusterStatus,
-    RayCluster,
-    AppWrapper,
-    get_cluster,
-    list_all_queued,
-    list_all_clusters,
-    view_clusters,
-)
-
-from .job import RayJobClient
-
-from .utils import generate_cert
-from .utils.demos import copy_demo_nbs
-
-from importlib.metadata import version, PackageNotFoundError
-
-try:
-    __version__ = version("codeflare-sdk")  # use metadata associated with built package
-
-except PackageNotFoundError:
-    __version__ = "v0.0.0"
    
-
    
-
    
-
    
-
    Sub-modules
    
-
    
-
    codeflare_sdk.cluster
    
-
    
-
    
-
    
-
    codeflare_sdk.job
    
-
    
-
    
-
    
-
    codeflare_sdk.utils
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/job/index.html b/docs/detailed-documentation/job/index.html
deleted file mode 100644
index ccfc679d..00000000
--- a/docs/detailed-documentation/job/index.html
+++ /dev/null
@@ -1,72 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.job API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.job
    
-
    
-
    
-
    
-
-Expand source code
-
-
    from .ray_jobs import RayJobClient
    
-
    
-
    
-
    
-
    Sub-modules
    
-
    
-
    codeflare_sdk.job.ray_jobs
    
-
    
-
    The ray_jobs sub-module contains methods needed to submit jobs and connect to Ray Clusters that were not created by CodeFlare.
-The SDK acts as a …
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/job/ray_jobs.html b/docs/detailed-documentation/job/ray_jobs.html
deleted file mode 100644
index 20002e27..00000000
--- a/docs/detailed-documentation/job/ray_jobs.html
+++ /dev/null
@@ -1,585 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.job.ray_jobs API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.job.ray_jobs
    
-
    
-
    
-
    The ray_jobs sub-module contains methods needed to submit jobs and connect to Ray Clusters that were not created by CodeFlare.
-The SDK acts as a wrapper for the Ray Job Submission Client.
    
-
    
-
-Expand source code
-
-
    # Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-The ray_jobs sub-module contains methods needed to submit jobs and connect to Ray Clusters that were not created by CodeFlare.
-The SDK acts as a wrapper for the Ray Job Submission Client.
-"""
-
-from ray.job_submission import JobSubmissionClient
-from ray.dashboard.modules.job.pydantic_models import JobDetails
-from typing import Iterator, Optional, Dict, Any, Union, List
-
-
-class RayJobClient:
-    """
-    A class that functions as a wrapper for the Ray Job Submission Client.
-
-    parameters:
-    address -- Either (1) the address of the Ray cluster, or (2) the HTTP address of the dashboard server on the head node, e.g. “http://<head-node-ip>:8265”. In case (1) it must be specified as an address that can be passed to ray.init(),
-    e.g. a Ray Client address (ray://<head_node_host>:10001), or “auto”, or “localhost:<port>”. If unspecified, will try to connect to a running local Ray cluster. This argument is always overridden by the RAY_ADDRESS environment variable.
-    create_cluster_if_needed -- Indicates whether the cluster at the specified address needs to already be running. Ray doesn't start a cluster before interacting with jobs, but third-party job managers may do so.
-    cookies -- Cookies to use when sending requests to the HTTP job server.
-    metadata -- Arbitrary metadata to store along with all jobs. New metadata specified per job will be merged with the global metadata provided here via a simple dict update.
-    headers -- Headers to use when sending requests to the HTTP job server, used for cases like authentication to a remote cluster.
-    verify -- Boolean indication to verify the server's TLS certificate or a path to a file or directory of trusted certificates. Default: True.
-    """
-
-    def __init__(
-        self,
-        address: Optional[str] = None,
-        create_cluster_if_needed: bool = False,
-        cookies: Optional[Dict[str, Any]] = None,
-        metadata: Optional[Dict[str, Any]] = None,
-        headers: Optional[Dict[str, Any]] = None,
-        verify: Optional[Union[str, bool]] = True,
-    ):
-        self.rayJobClient = JobSubmissionClient(
-            address=address,
-            create_cluster_if_needed=create_cluster_if_needed,
-            cookies=cookies,
-            metadata=metadata,
-            headers=headers,
-            verify=verify,
-        )
-
-    def submit_job(
-        self,
-        entrypoint: str,
-        job_id: Optional[str] = None,
-        runtime_env: Optional[Dict[str, Any]] = None,
-        metadata: Optional[Dict[str, str]] = None,
-        submission_id: Optional[str] = None,
-        entrypoint_num_cpus: Optional[Union[int, float]] = None,
-        entrypoint_num_gpus: Optional[Union[int, float]] = None,
-        entrypoint_memory: Optional[int] = None,
-        entrypoint_resources: Optional[Dict[str, float]] = None,
-    ) -> str:
-        """
-        Method for submitting jobs to a Ray Cluster and returning the job id with entrypoint being a mandatory field.
-
-        Parameters:
-        entrypoint -- The shell command to run for this job.
-        submission_id -- A unique ID for this job.
-        runtime_env -- The runtime environment to install and run this job in.
-        metadata -- Arbitrary data to store along with this job.
-        job_id -- DEPRECATED. This has been renamed to submission_id
-        entrypoint_num_cpus -- The quantity of CPU cores to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-        entrypoint_num_gpus -- The quantity of GPUs to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-        entrypoint_memory –- The quantity of memory to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-        entrypoint_resources -- The quantity of custom resources to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it.
-        """
-        return self.rayJobClient.submit_job(
-            entrypoint=entrypoint,
-            job_id=job_id,
-            runtime_env=runtime_env,
-            metadata=metadata,
-            submission_id=submission_id,
-            entrypoint_num_cpus=entrypoint_num_cpus,
-            entrypoint_num_gpus=entrypoint_num_gpus,
-            entrypoint_memory=entrypoint_memory,
-            entrypoint_resources=entrypoint_resources,
-        )
-
-    def delete_job(self, job_id: str) -> (bool, str):
-        """
-        Method for deleting jobs with the job id being a mandatory field.
-        """
-        deletion_status = self.rayJobClient.delete_job(job_id=job_id)
-
-        if deletion_status:
-            message = f"Successfully deleted Job {job_id}"
-        else:
-            message = f"Failed to delete Job {job_id}"
-
-        return deletion_status, message
-
-    def get_address(self) -> str:
-        """
-        Method for getting the address from the RayJobClient
-        """
-        return self.rayJobClient.get_address()
-
-    def get_job_info(self, job_id: str):
-        """
-        Method for getting the job info with the job id being a mandatory field.
-        """
-        return self.rayJobClient.get_job_info(job_id=job_id)
-
-    def get_job_logs(self, job_id: str) -> str:
-        """
-        Method for getting the job logs with the job id being a mandatory field.
-        """
-        return self.rayJobClient.get_job_logs(job_id=job_id)
-
-    def get_job_status(self, job_id: str) -> str:
-        """
-        Method for getting the job's status with the job id being a mandatory field.
-        """
-        return self.rayJobClient.get_job_status(job_id=job_id)
-
-    def list_jobs(self) -> List[JobDetails]:
-        """
-        Method for getting a list of current jobs in the Ray Cluster.
-        """
-        return self.rayJobClient.list_jobs()
-
-    def stop_job(self, job_id: str) -> (bool, str):
-        """
-        Method for stopping a job with the job id being a mandatory field.
-        """
-        stop_job_status = self.rayJobClient.stop_job(job_id=job_id)
-        if stop_job_status:
-            message = f"Successfully stopped Job {job_id}"
-        else:
-            message = f"Failed to stop Job, {job_id} could have already completed."
-        return stop_job_status, message
-
-    def tail_job_logs(self, job_id: str) -> Iterator[str]:
-        """
-        Method for getting an iterator that follows the logs of a job with the job id being a mandatory field.
-        """
-        return self.rayJobClient.tail_job_logs(job_id=job_id)
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Classes
    
-
    
-
    
-class RayJobClient
-(address: Optional[str] = None, create_cluster_if_needed: bool = False, cookies: Optional[Dict[str, Any]] = None, metadata: Optional[Dict[str, Any]] = None, headers: Optional[Dict[str, Any]] = None, verify: Union[str, bool, ForwardRef(None)] = True)
-
    
-
    
-
    A class that functions as a wrapper for the Ray Job Submission Client.
    
-
    parameters:
-address – Either (1) the address of the Ray cluster, or (2) the HTTP address of the dashboard server on the head node, e.g. “>:8265”. In case (1) it must be specified as an address that can be passed to ray.init(),
-e.g. a Ray Client address (ray://:10001), or “auto”, or “localhost:”. If unspecified, will try to connect to a running local Ray cluster. This argument is always overridden by the RAY_ADDRESS environment variable.
-create_cluster_if_needed – Indicates whether the cluster at the specified address needs to already be running. Ray doesn't start a cluster before interacting with jobs, but third-party job managers may do so.
-cookies – Cookies to use when sending requests to the HTTP job server.
-metadata – Arbitrary metadata to store along with all jobs. New metadata specified per job will be merged with the global metadata provided here via a simple dict update.
-headers – Headers to use when sending requests to the HTTP job server, used for cases like authentication to a remote cluster.
-verify – Boolean indication to verify the server's TLS certificate or a path to a file or directory of trusted certificates. Default: True.
    
-
    
-
-Expand source code
-
-
    class RayJobClient:
-    """
-    A class that functions as a wrapper for the Ray Job Submission Client.
-
-    parameters:
-    address -- Either (1) the address of the Ray cluster, or (2) the HTTP address of the dashboard server on the head node, e.g. “http://<head-node-ip>:8265”. In case (1) it must be specified as an address that can be passed to ray.init(),
-    e.g. a Ray Client address (ray://<head_node_host>:10001), or “auto”, or “localhost:<port>”. If unspecified, will try to connect to a running local Ray cluster. This argument is always overridden by the RAY_ADDRESS environment variable.
-    create_cluster_if_needed -- Indicates whether the cluster at the specified address needs to already be running. Ray doesn't start a cluster before interacting with jobs, but third-party job managers may do so.
-    cookies -- Cookies to use when sending requests to the HTTP job server.
-    metadata -- Arbitrary metadata to store along with all jobs. New metadata specified per job will be merged with the global metadata provided here via a simple dict update.
-    headers -- Headers to use when sending requests to the HTTP job server, used for cases like authentication to a remote cluster.
-    verify -- Boolean indication to verify the server's TLS certificate or a path to a file or directory of trusted certificates. Default: True.
-    """
-
-    def __init__(
-        self,
-        address: Optional[str] = None,
-        create_cluster_if_needed: bool = False,
-        cookies: Optional[Dict[str, Any]] = None,
-        metadata: Optional[Dict[str, Any]] = None,
-        headers: Optional[Dict[str, Any]] = None,
-        verify: Optional[Union[str, bool]] = True,
-    ):
-        self.rayJobClient = JobSubmissionClient(
-            address=address,
-            create_cluster_if_needed=create_cluster_if_needed,
-            cookies=cookies,
-            metadata=metadata,
-            headers=headers,
-            verify=verify,
-        )
-
-    def submit_job(
-        self,
-        entrypoint: str,
-        job_id: Optional[str] = None,
-        runtime_env: Optional[Dict[str, Any]] = None,
-        metadata: Optional[Dict[str, str]] = None,
-        submission_id: Optional[str] = None,
-        entrypoint_num_cpus: Optional[Union[int, float]] = None,
-        entrypoint_num_gpus: Optional[Union[int, float]] = None,
-        entrypoint_memory: Optional[int] = None,
-        entrypoint_resources: Optional[Dict[str, float]] = None,
-    ) -> str:
-        """
-        Method for submitting jobs to a Ray Cluster and returning the job id with entrypoint being a mandatory field.
-
-        Parameters:
-        entrypoint -- The shell command to run for this job.
-        submission_id -- A unique ID for this job.
-        runtime_env -- The runtime environment to install and run this job in.
-        metadata -- Arbitrary data to store along with this job.
-        job_id -- DEPRECATED. This has been renamed to submission_id
-        entrypoint_num_cpus -- The quantity of CPU cores to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-        entrypoint_num_gpus -- The quantity of GPUs to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-        entrypoint_memory –- The quantity of memory to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-        entrypoint_resources -- The quantity of custom resources to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it.
-        """
-        return self.rayJobClient.submit_job(
-            entrypoint=entrypoint,
-            job_id=job_id,
-            runtime_env=runtime_env,
-            metadata=metadata,
-            submission_id=submission_id,
-            entrypoint_num_cpus=entrypoint_num_cpus,
-            entrypoint_num_gpus=entrypoint_num_gpus,
-            entrypoint_memory=entrypoint_memory,
-            entrypoint_resources=entrypoint_resources,
-        )
-
-    def delete_job(self, job_id: str) -> (bool, str):
-        """
-        Method for deleting jobs with the job id being a mandatory field.
-        """
-        deletion_status = self.rayJobClient.delete_job(job_id=job_id)
-
-        if deletion_status:
-            message = f"Successfully deleted Job {job_id}"
-        else:
-            message = f"Failed to delete Job {job_id}"
-
-        return deletion_status, message
-
-    def get_address(self) -> str:
-        """
-        Method for getting the address from the RayJobClient
-        """
-        return self.rayJobClient.get_address()
-
-    def get_job_info(self, job_id: str):
-        """
-        Method for getting the job info with the job id being a mandatory field.
-        """
-        return self.rayJobClient.get_job_info(job_id=job_id)
-
-    def get_job_logs(self, job_id: str) -> str:
-        """
-        Method for getting the job logs with the job id being a mandatory field.
-        """
-        return self.rayJobClient.get_job_logs(job_id=job_id)
-
-    def get_job_status(self, job_id: str) -> str:
-        """
-        Method for getting the job's status with the job id being a mandatory field.
-        """
-        return self.rayJobClient.get_job_status(job_id=job_id)
-
-    def list_jobs(self) -> List[JobDetails]:
-        """
-        Method for getting a list of current jobs in the Ray Cluster.
-        """
-        return self.rayJobClient.list_jobs()
-
-    def stop_job(self, job_id: str) -> (bool, str):
-        """
-        Method for stopping a job with the job id being a mandatory field.
-        """
-        stop_job_status = self.rayJobClient.stop_job(job_id=job_id)
-        if stop_job_status:
-            message = f"Successfully stopped Job {job_id}"
-        else:
-            message = f"Failed to stop Job, {job_id} could have already completed."
-        return stop_job_status, message
-
-    def tail_job_logs(self, job_id: str) -> Iterator[str]:
-        """
-        Method for getting an iterator that follows the logs of a job with the job id being a mandatory field.
-        """
-        return self.rayJobClient.tail_job_logs(job_id=job_id)
    
-
    
-
    Methods
    
-
    
-
    
-def delete_job(self, job_id: str) ‑> (, )
-
    
-
    
-
    Method for deleting jobs with the job id being a mandatory field.
    
-
    
-
-Expand source code
-
-
    def delete_job(self, job_id: str) -> (bool, str):
-    """
-    Method for deleting jobs with the job id being a mandatory field.
-    """
-    deletion_status = self.rayJobClient.delete_job(job_id=job_id)
-
-    if deletion_status:
-        message = f"Successfully deleted Job {job_id}"
-    else:
-        message = f"Failed to delete Job {job_id}"
-
-    return deletion_status, message
    
-
    
-
    
-
    
-def get_address(self) ‑> str
-
    
-
    
-
    Method for getting the address from the RayJobClient
    
-
    
-
-Expand source code
-
-
    def get_address(self) -> str:
-    """
-    Method for getting the address from the RayJobClient
-    """
-    return self.rayJobClient.get_address()
    
-
    
-
    
-
    
-def get_job_info(self, job_id: str)
-
    
-
    
-
    Method for getting the job info with the job id being a mandatory field.
    
-
    
-
-Expand source code
-
-
    def get_job_info(self, job_id: str):
-    """
-    Method for getting the job info with the job id being a mandatory field.
-    """
-    return self.rayJobClient.get_job_info(job_id=job_id)
    
-
    
-
    
-
    
-def get_job_logs(self, job_id: str) ‑> str
-
    
-
    
-
    Method for getting the job logs with the job id being a mandatory field.
    
-
    
-
-Expand source code
-
-
    def get_job_logs(self, job_id: str) -> str:
-    """
-    Method for getting the job logs with the job id being a mandatory field.
-    """
-    return self.rayJobClient.get_job_logs(job_id=job_id)
    
-
    
-
    
-
    
-def get_job_status(self, job_id: str) ‑> str
-
    
-
    
-
    Method for getting the job's status with the job id being a mandatory field.
    
-
    
-
-Expand source code
-
-
    def get_job_status(self, job_id: str) -> str:
-    """
-    Method for getting the job's status with the job id being a mandatory field.
-    """
-    return self.rayJobClient.get_job_status(job_id=job_id)
    
-
    
-
    
-
    
-def list_jobs(self) ‑> List[ray.dashboard.modules.job.pydantic_models.JobDetails]
-
    
-
    
-
    Method for getting a list of current jobs in the Ray Cluster.
    
-
    
-
-Expand source code
-
-
    def list_jobs(self) -> List[JobDetails]:
-    """
-    Method for getting a list of current jobs in the Ray Cluster.
-    """
-    return self.rayJobClient.list_jobs()
    
-
    
-
    
-
    
-def stop_job(self, job_id: str) ‑> (, )
-
    
-
    
-
    Method for stopping a job with the job id being a mandatory field.
    
-
    
-
-Expand source code
-
-
    def stop_job(self, job_id: str) -> (bool, str):
-    """
-    Method for stopping a job with the job id being a mandatory field.
-    """
-    stop_job_status = self.rayJobClient.stop_job(job_id=job_id)
-    if stop_job_status:
-        message = f"Successfully stopped Job {job_id}"
-    else:
-        message = f"Failed to stop Job, {job_id} could have already completed."
-    return stop_job_status, message
    
-
    
-
    
-
    
-def submit_job(self, entrypoint: str, job_id: Optional[str] = None, runtime_env: Optional[Dict[str, Any]] = None, metadata: Optional[Dict[str, str]] = None, submission_id: Optional[str] = None, entrypoint_num_cpus: Union[int, float, ForwardRef(None)] = None, entrypoint_num_gpus: Union[int, float, ForwardRef(None)] = None, entrypoint_memory: Optional[int] = None, entrypoint_resources: Optional[Dict[str, float]] = None) ‑> str
-
    
-
    
-
    Method for submitting jobs to a Ray Cluster and returning the job id with entrypoint being a mandatory field.
    
-
    Parameters:
-entrypoint – The shell command to run for this job.
-submission_id – A unique ID for this job.
-runtime_env – The runtime environment to install and run this job in.
-metadata – Arbitrary data to store along with this job.
-job_id – DEPRECATED. This has been renamed to submission_id
-entrypoint_num_cpus – The quantity of CPU cores to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-entrypoint_num_gpus – The quantity of GPUs to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-entrypoint_memory –- The quantity of memory to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-entrypoint_resources – The quantity of custom resources to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it.
    
-
    
-
-Expand source code
-
-
    def submit_job(
-    self,
-    entrypoint: str,
-    job_id: Optional[str] = None,
-    runtime_env: Optional[Dict[str, Any]] = None,
-    metadata: Optional[Dict[str, str]] = None,
-    submission_id: Optional[str] = None,
-    entrypoint_num_cpus: Optional[Union[int, float]] = None,
-    entrypoint_num_gpus: Optional[Union[int, float]] = None,
-    entrypoint_memory: Optional[int] = None,
-    entrypoint_resources: Optional[Dict[str, float]] = None,
-) -> str:
-    """
-    Method for submitting jobs to a Ray Cluster and returning the job id with entrypoint being a mandatory field.
-
-    Parameters:
-    entrypoint -- The shell command to run for this job.
-    submission_id -- A unique ID for this job.
-    runtime_env -- The runtime environment to install and run this job in.
-    metadata -- Arbitrary data to store along with this job.
-    job_id -- DEPRECATED. This has been renamed to submission_id
-    entrypoint_num_cpus -- The quantity of CPU cores to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-    entrypoint_num_gpus -- The quantity of GPUs to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-    entrypoint_memory –- The quantity of memory to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-    entrypoint_resources -- The quantity of custom resources to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it.
-    """
-    return self.rayJobClient.submit_job(
-        entrypoint=entrypoint,
-        job_id=job_id,
-        runtime_env=runtime_env,
-        metadata=metadata,
-        submission_id=submission_id,
-        entrypoint_num_cpus=entrypoint_num_cpus,
-        entrypoint_num_gpus=entrypoint_num_gpus,
-        entrypoint_memory=entrypoint_memory,
-        entrypoint_resources=entrypoint_resources,
-    )
    
-
    
-
    
-
    
-def tail_job_logs(self, job_id: str) ‑> Iterator[str]
-
    
-
    
-
    Method for getting an iterator that follows the logs of a job with the job id being a mandatory field.
    
-
    
-
-Expand source code
-
-
    def tail_job_logs(self, job_id: str) -> Iterator[str]:
-    """
-    Method for getting an iterator that follows the logs of a job with the job id being a mandatory field.
-    """
-    return self.rayJobClient.tail_job_logs(job_id=job_id)
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/utils/demos.html b/docs/detailed-documentation/utils/demos.html
deleted file mode 100644
index e0dc5a8e..00000000
--- a/docs/detailed-documentation/utils/demos.html
+++ /dev/null
@@ -1,138 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.utils.demos API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.utils.demos
    
-
    
-
    
-
    
-
-Expand source code
-
-
    import pathlib
-import shutil
-
-package_dir = pathlib.Path(__file__).parent.parent.resolve()
-demo_dir = f"{package_dir}/demo-notebooks"
-
-
-def copy_demo_nbs(dir: str = "./demo-notebooks", overwrite: bool = False):
-    """
-    Copy the demo notebooks from the package to the current working directory
-
-    overwrite=True will overwrite any files that exactly match files written by copy_demo_nbs in the target directory.
-    Any files that exist in the directory that don't match these values will remain untouched.
-
-    Args:
-        dir (str): The directory to copy the demo notebooks to. Defaults to "./demo-notebooks". overwrite (bool):
-        overwrite (bool): Whether to overwrite files in the directory if it already exists. Defaults to False.
-    Raises:
-        FileExistsError: If the directory already exists.
-    """
-    # does dir exist already?
-    if overwrite is False and pathlib.Path(dir).exists():
-        raise FileExistsError(
-            f"Directory {dir} already exists. Please remove it or provide a different location."
-        )
-
-    shutil.copytree(demo_dir, dir, dirs_exist_ok=True)
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Functions
    
-
    
-
    
-def copy_demo_nbs(dir: str = './demo-notebooks', overwrite: bool = False)
-
    
-
    
-
    Copy the demo notebooks from the package to the current working directory
    
-
    overwrite=True will overwrite any files that exactly match files written by copy_demo_nbs in the target directory.
-Any files that exist in the directory that don't match these values will remain untouched.
    
-
    Args
    
-
    
-
    dir : str
    
-
    The directory to copy the demo notebooks to. Defaults to "./demo-notebooks". overwrite (bool):
    
-
    overwrite : bool
    
-
    Whether to overwrite files in the directory if it already exists. Defaults to False.
    
-
    
-
    Raises
    
-
    
-
    FileExistsError
    
-
    If the directory already exists.
    
-
    
-
    
-
-Expand source code
-
-
    def copy_demo_nbs(dir: str = "./demo-notebooks", overwrite: bool = False):
-    """
-    Copy the demo notebooks from the package to the current working directory
-
-    overwrite=True will overwrite any files that exactly match files written by copy_demo_nbs in the target directory.
-    Any files that exist in the directory that don't match these values will remain untouched.
-
-    Args:
-        dir (str): The directory to copy the demo notebooks to. Defaults to "./demo-notebooks". overwrite (bool):
-        overwrite (bool): Whether to overwrite files in the directory if it already exists. Defaults to False.
-    Raises:
-        FileExistsError: If the directory already exists.
-    """
-    # does dir exist already?
-    if overwrite is False and pathlib.Path(dir).exists():
-        raise FileExistsError(
-            f"Directory {dir} already exists. Please remove it or provide a different location."
-        )
-
-    shutil.copytree(demo_dir, dir, dirs_exist_ok=True)
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/utils/generate_cert.html b/docs/detailed-documentation/utils/generate_cert.html
deleted file mode 100644
index 01084d84..00000000
--- a/docs/detailed-documentation/utils/generate_cert.html
+++ /dev/null
@@ -1,451 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.utils.generate_cert API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.utils.generate_cert
    
-
    
-
    
-
    
-
-Expand source code
-
-
    # Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import base64
-import os
-from cryptography.hazmat.primitives import serialization, hashes
-from cryptography.hazmat.primitives.asymmetric import rsa
-from cryptography import x509
-from cryptography.x509.oid import NameOID
-import datetime
-from ..cluster.auth import config_check, get_api_client
-from kubernetes import client, config
-from .kube_api_helpers import _kube_api_error_handling
-
-
-def generate_ca_cert(days: int = 30):
-    # Generate base64 encoded ca.key and ca.cert
-    # Similar to:
-    # openssl req -x509 -nodes -newkey rsa:2048 -keyout ca.key -days 1826 -out ca.crt -subj '/CN=root-ca'
-    # base64 -i ca.crt -i ca.key
-
-    private_key = rsa.generate_private_key(
-        public_exponent=65537,
-        key_size=2048,
-    )
-
-    key = base64.b64encode(
-        private_key.private_bytes(
-            serialization.Encoding.PEM,
-            serialization.PrivateFormat.PKCS8,
-            serialization.NoEncryption(),
-        )
-    ).decode("utf-8")
-
-    # Generate Certificate
-    one_day = datetime.timedelta(1, 0, 0)
-    public_key = private_key.public_key()
-    builder = (
-        x509.CertificateBuilder()
-        .subject_name(
-            x509.Name(
-                [
-                    x509.NameAttribute(NameOID.COMMON_NAME, "root-ca"),
-                ]
-            )
-        )
-        .issuer_name(
-            x509.Name(
-                [
-                    x509.NameAttribute(NameOID.COMMON_NAME, "root-ca"),
-                ]
-            )
-        )
-        .not_valid_before(datetime.datetime.today() - one_day)
-        .not_valid_after(datetime.datetime.today() + (one_day * days))
-        .serial_number(x509.random_serial_number())
-        .public_key(public_key)
-    )
-    certificate = base64.b64encode(
-        builder.sign(private_key=private_key, algorithm=hashes.SHA256()).public_bytes(
-            serialization.Encoding.PEM
-        )
-    ).decode("utf-8")
-    return key, certificate
-
-
-def get_secret_name(cluster_name, namespace, api_instance):
-    label_selector = f"ray.openshift.ai/cluster-name={cluster_name}"
-    try:
-        secrets = api_instance.list_namespaced_secret(
-            namespace, label_selector=label_selector
-        )
-        for secret in secrets.items:
-            if (
-                f"{cluster_name}-ca-secret-" in secret.metadata.name
-            ):  # Oauth secret share the same label this conditional is to make things more specific
-                return secret.metadata.name
-            else:
-                continue
-        raise KeyError(f"Unable to gather secret name for {cluster_name}")
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-
-
-def generate_tls_cert(cluster_name, namespace, days=30):
-    # Create a folder tls-<cluster>-<namespace> and store three files: ca.crt, tls.crt, and tls.key
-    tls_dir = os.path.join(os.getcwd(), f"tls-{cluster_name}-{namespace}")
-    if not os.path.exists(tls_dir):
-        os.makedirs(tls_dir)
-
-    # Similar to:
-    # oc get secret ca-secret-<cluster-name> -o template='{{index .data "ca.key"}}'
-    # oc get secret ca-secret-<cluster-name> -o template='{{index .data "ca.crt"}}'|base64 -d > ${TLSDIR}/ca.crt
-    config_check()
-    v1 = client.CoreV1Api(get_api_client())
-
-    # Secrets have a suffix appended to the end so we must list them and gather the secret that includes cluster_name-ca-secret-
-    secret_name = get_secret_name(cluster_name, namespace, v1)
-    secret = v1.read_namespaced_secret(secret_name, namespace).data
-
-    ca_cert = secret.get("ca.crt")
-    ca_key = secret.get("ca.key")
-
-    with open(os.path.join(tls_dir, "ca.crt"), "w") as f:
-        f.write(base64.b64decode(ca_cert).decode("utf-8"))
-
-    # Generate tls.key and signed tls.cert locally for ray client
-    # Similar to running these commands:
-    # openssl req -nodes -newkey rsa:2048 -keyout ${TLSDIR}/tls.key -out ${TLSDIR}/tls.csr -subj '/CN=local'
-    # cat <<EOF >${TLSDIR}/domain.ext
-    # authorityKeyIdentifier=keyid,issuer
-    # basicConstraints=CA:FALSE
-    # subjectAltName = @alt_names
-    # [alt_names]
-    # DNS.1 = 127.0.0.1
-    # DNS.2 = localhost
-    # EOF
-    # openssl x509 -req -CA ${TLSDIR}/ca.crt -CAkey ${TLSDIR}/ca.key -in ${TLSDIR}/tls.csr -out ${TLSDIR}/tls.crt -days 365 -CAcreateserial -extfile ${TLSDIR}/domain.ext
-    key = rsa.generate_private_key(
-        public_exponent=65537,
-        key_size=2048,
-    )
-
-    tls_key = key.private_bytes(
-        serialization.Encoding.PEM,
-        serialization.PrivateFormat.PKCS8,
-        serialization.NoEncryption(),
-    )
-    with open(os.path.join(tls_dir, "tls.key"), "w") as f:
-        f.write(tls_key.decode("utf-8"))
-
-    one_day = datetime.timedelta(1, 0, 0)
-    tls_cert = (
-        x509.CertificateBuilder()
-        .issuer_name(
-            x509.Name(
-                [
-                    x509.NameAttribute(NameOID.COMMON_NAME, "root-ca"),
-                ]
-            )
-        )
-        .subject_name(
-            x509.Name(
-                [
-                    x509.NameAttribute(NameOID.COMMON_NAME, "local"),
-                ]
-            )
-        )
-        .public_key(key.public_key())
-        .not_valid_before(datetime.datetime.today() - one_day)
-        .not_valid_after(datetime.datetime.today() + (one_day * days))
-        .serial_number(x509.random_serial_number())
-        .add_extension(
-            x509.SubjectAlternativeName(
-                [x509.DNSName("localhost"), x509.DNSName("127.0.0.1")]
-            ),
-            False,
-        )
-        .sign(
-            serialization.load_pem_private_key(base64.b64decode(ca_key), None),
-            hashes.SHA256(),
-        )
-    )
-
-    with open(os.path.join(tls_dir, "tls.crt"), "w") as f:
-        f.write(tls_cert.public_bytes(serialization.Encoding.PEM).decode("utf-8"))
-
-
-def export_env(cluster_name, namespace):
-    tls_dir = os.path.join(os.getcwd(), f"tls-{cluster_name}-{namespace}")
-    os.environ["RAY_USE_TLS"] = "1"
-    os.environ["RAY_TLS_SERVER_CERT"] = os.path.join(tls_dir, "tls.crt")
-    os.environ["RAY_TLS_SERVER_KEY"] = os.path.join(tls_dir, "tls.key")
-    os.environ["RAY_TLS_CA_CERT"] = os.path.join(tls_dir, "ca.crt")
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Functions
    
-
    
-
    
-def export_env(cluster_name, namespace)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def export_env(cluster_name, namespace):
-    tls_dir = os.path.join(os.getcwd(), f"tls-{cluster_name}-{namespace}")
-    os.environ["RAY_USE_TLS"] = "1"
-    os.environ["RAY_TLS_SERVER_CERT"] = os.path.join(tls_dir, "tls.crt")
-    os.environ["RAY_TLS_SERVER_KEY"] = os.path.join(tls_dir, "tls.key")
-    os.environ["RAY_TLS_CA_CERT"] = os.path.join(tls_dir, "ca.crt")
    
-
    
-
    
-
    
-def generate_ca_cert(days: int = 30)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def generate_ca_cert(days: int = 30):
-    # Generate base64 encoded ca.key and ca.cert
-    # Similar to:
-    # openssl req -x509 -nodes -newkey rsa:2048 -keyout ca.key -days 1826 -out ca.crt -subj '/CN=root-ca'
-    # base64 -i ca.crt -i ca.key
-
-    private_key = rsa.generate_private_key(
-        public_exponent=65537,
-        key_size=2048,
-    )
-
-    key = base64.b64encode(
-        private_key.private_bytes(
-            serialization.Encoding.PEM,
-            serialization.PrivateFormat.PKCS8,
-            serialization.NoEncryption(),
-        )
-    ).decode("utf-8")
-
-    # Generate Certificate
-    one_day = datetime.timedelta(1, 0, 0)
-    public_key = private_key.public_key()
-    builder = (
-        x509.CertificateBuilder()
-        .subject_name(
-            x509.Name(
-                [
-                    x509.NameAttribute(NameOID.COMMON_NAME, "root-ca"),
-                ]
-            )
-        )
-        .issuer_name(
-            x509.Name(
-                [
-                    x509.NameAttribute(NameOID.COMMON_NAME, "root-ca"),
-                ]
-            )
-        )
-        .not_valid_before(datetime.datetime.today() - one_day)
-        .not_valid_after(datetime.datetime.today() + (one_day * days))
-        .serial_number(x509.random_serial_number())
-        .public_key(public_key)
-    )
-    certificate = base64.b64encode(
-        builder.sign(private_key=private_key, algorithm=hashes.SHA256()).public_bytes(
-            serialization.Encoding.PEM
-        )
-    ).decode("utf-8")
-    return key, certificate
    
-
    
-
    
-
    
-def generate_tls_cert(cluster_name, namespace, days=30)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def generate_tls_cert(cluster_name, namespace, days=30):
-    # Create a folder tls-<cluster>-<namespace> and store three files: ca.crt, tls.crt, and tls.key
-    tls_dir = os.path.join(os.getcwd(), f"tls-{cluster_name}-{namespace}")
-    if not os.path.exists(tls_dir):
-        os.makedirs(tls_dir)
-
-    # Similar to:
-    # oc get secret ca-secret-<cluster-name> -o template='{{index .data "ca.key"}}'
-    # oc get secret ca-secret-<cluster-name> -o template='{{index .data "ca.crt"}}'|base64 -d > ${TLSDIR}/ca.crt
-    config_check()
-    v1 = client.CoreV1Api(get_api_client())
-
-    # Secrets have a suffix appended to the end so we must list them and gather the secret that includes cluster_name-ca-secret-
-    secret_name = get_secret_name(cluster_name, namespace, v1)
-    secret = v1.read_namespaced_secret(secret_name, namespace).data
-
-    ca_cert = secret.get("ca.crt")
-    ca_key = secret.get("ca.key")
-
-    with open(os.path.join(tls_dir, "ca.crt"), "w") as f:
-        f.write(base64.b64decode(ca_cert).decode("utf-8"))
-
-    # Generate tls.key and signed tls.cert locally for ray client
-    # Similar to running these commands:
-    # openssl req -nodes -newkey rsa:2048 -keyout ${TLSDIR}/tls.key -out ${TLSDIR}/tls.csr -subj '/CN=local'
-    # cat <<EOF >${TLSDIR}/domain.ext
-    # authorityKeyIdentifier=keyid,issuer
-    # basicConstraints=CA:FALSE
-    # subjectAltName = @alt_names
-    # [alt_names]
-    # DNS.1 = 127.0.0.1
-    # DNS.2 = localhost
-    # EOF
-    # openssl x509 -req -CA ${TLSDIR}/ca.crt -CAkey ${TLSDIR}/ca.key -in ${TLSDIR}/tls.csr -out ${TLSDIR}/tls.crt -days 365 -CAcreateserial -extfile ${TLSDIR}/domain.ext
-    key = rsa.generate_private_key(
-        public_exponent=65537,
-        key_size=2048,
-    )
-
-    tls_key = key.private_bytes(
-        serialization.Encoding.PEM,
-        serialization.PrivateFormat.PKCS8,
-        serialization.NoEncryption(),
-    )
-    with open(os.path.join(tls_dir, "tls.key"), "w") as f:
-        f.write(tls_key.decode("utf-8"))
-
-    one_day = datetime.timedelta(1, 0, 0)
-    tls_cert = (
-        x509.CertificateBuilder()
-        .issuer_name(
-            x509.Name(
-                [
-                    x509.NameAttribute(NameOID.COMMON_NAME, "root-ca"),
-                ]
-            )
-        )
-        .subject_name(
-            x509.Name(
-                [
-                    x509.NameAttribute(NameOID.COMMON_NAME, "local"),
-                ]
-            )
-        )
-        .public_key(key.public_key())
-        .not_valid_before(datetime.datetime.today() - one_day)
-        .not_valid_after(datetime.datetime.today() + (one_day * days))
-        .serial_number(x509.random_serial_number())
-        .add_extension(
-            x509.SubjectAlternativeName(
-                [x509.DNSName("localhost"), x509.DNSName("127.0.0.1")]
-            ),
-            False,
-        )
-        .sign(
-            serialization.load_pem_private_key(base64.b64decode(ca_key), None),
-            hashes.SHA256(),
-        )
-    )
-
-    with open(os.path.join(tls_dir, "tls.crt"), "w") as f:
-        f.write(tls_cert.public_bytes(serialization.Encoding.PEM).decode("utf-8"))
    
-
    
-
    
-
    
-def get_secret_name(cluster_name, namespace, api_instance)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def get_secret_name(cluster_name, namespace, api_instance):
-    label_selector = f"ray.openshift.ai/cluster-name={cluster_name}"
-    try:
-        secrets = api_instance.list_namespaced_secret(
-            namespace, label_selector=label_selector
-        )
-        for secret in secrets.items:
-            if (
-                f"{cluster_name}-ca-secret-" in secret.metadata.name
-            ):  # Oauth secret share the same label this conditional is to make things more specific
-                return secret.metadata.name
-            else:
-                continue
-        raise KeyError(f"Unable to gather secret name for {cluster_name}")
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/utils/generate_yaml.html b/docs/detailed-documentation/utils/generate_yaml.html
deleted file mode 100644
index c2a7bb34..00000000
--- a/docs/detailed-documentation/utils/generate_yaml.html
+++ /dev/null
@@ -1,951 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.utils.generate_yaml API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.utils.generate_yaml
    
-
    
-
    
-
    This sub-module exists primarily to be used internally by the Cluster object
-(in the cluster sub-module) for AppWrapper generation.
    
-
    
-
-Expand source code
-
-
    # Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-This sub-module exists primarily to be used internally by the Cluster object
-(in the cluster sub-module) for AppWrapper generation.
-"""
-
-import json
-from typing import Optional
-import typing
-import yaml
-import sys
-import os
-import argparse
-import uuid
-from kubernetes import client, config
-from .kube_api_helpers import _kube_api_error_handling
-from ..cluster.auth import get_api_client, config_check
-from os import urandom
-from base64 import b64encode
-from urllib3.util import parse_url
-from kubernetes.client.exceptions import ApiException
-import codeflare_sdk
-
-
-def read_template(template):
-    with open(template, "r") as stream:
-        try:
-            return yaml.safe_load(stream)
-        except yaml.YAMLError as exc:
-            print(exc)
-
-
-def gen_names(name):
-    if not name:
-        gen_id = str(uuid.uuid4())
-        appwrapper_name = "appwrapper-" + gen_id
-        cluster_name = "cluster-" + gen_id
-        return appwrapper_name, cluster_name
-    else:
-        return name, name
-
-
-# Check if the routes api exists
-def is_openshift_cluster():
-    try:
-        config_check()
-        for api in client.ApisApi(get_api_client()).get_api_versions().groups:
-            for v in api.versions:
-                if "route.openshift.io/v1" in v.group_version:
-                    return True
-        else:
-            return False
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-
-
-def is_kind_cluster():
-    try:
-        config_check()
-        v1 = client.CoreV1Api()
-        label_selector = "kubernetes.io/hostname=kind-control-plane"
-        nodes = v1.list_node(label_selector=label_selector)
-        # If we find one or more nodes with the label, assume it's a KinD cluster
-        return len(nodes.items) > 0
-    except Exception as e:
-        print(f"Error checking if cluster is KinD: {e}")
-        return False
-
-
-def update_names(
-    cluster_yaml: dict,
-    cluster: "codeflare_sdk.cluster.Cluster",
-):
-    metadata = cluster_yaml.get("metadata")
-    metadata["name"] = cluster.config.name
-    metadata["namespace"] = cluster.config.namespace
-
-
-def update_image(spec, image):
-    containers = spec.get("containers")
-    if image != "":
-        for container in containers:
-            container["image"] = image
-
-
-def update_image_pull_secrets(spec, image_pull_secrets):
-    template_secrets = spec.get("imagePullSecrets", [])
-    spec["imagePullSecrets"] = template_secrets + [
-        {"name": x} for x in image_pull_secrets
-    ]
-
-
-def update_env(spec, env):
-    containers = spec.get("containers")
-    for container in containers:
-        if env:
-            if "env" in container:
-                container["env"].extend(env)
-            else:
-                container["env"] = env
-
-
-def update_resources(
-    spec,
-    cpu_requests,
-    cpu_limits,
-    memory_requests,
-    memory_limits,
-    custom_resources,
-):
-    container = spec.get("containers")
-    for resource in container:
-        requests = resource.get("resources").get("requests")
-        if requests is not None:
-            requests["cpu"] = cpu_requests
-            requests["memory"] = memory_requests
-        limits = resource.get("resources").get("limits")
-        if limits is not None:
-            limits["cpu"] = cpu_limits
-            limits["memory"] = memory_limits
-        for k in custom_resources.keys():
-            limits[k] = custom_resources[k]
-            requests[k] = custom_resources[k]
-
-
-def head_worker_gpu_count_from_cluster(
-    cluster: "codeflare_sdk.cluster.Cluster",
-) -> typing.Tuple[int, int]:
-    head_gpus = 0
-    worker_gpus = 0
-    for k in cluster.config.head_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type == "GPU":
-            head_gpus += int(cluster.config.head_extended_resource_requests[k])
-    for k in cluster.config.worker_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type == "GPU":
-            worker_gpus += int(cluster.config.worker_extended_resource_requests[k])
-
-    return head_gpus, worker_gpus
-
-
-FORBIDDEN_CUSTOM_RESOURCE_TYPES = ["GPU", "CPU", "memory"]
-
-
-def head_worker_resources_from_cluster(
-    cluster: "codeflare_sdk.cluster.Cluster",
-) -> typing.Tuple[dict, dict]:
-    to_return = {}, {}
-    for k in cluster.config.head_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES:
-            continue
-        to_return[0][resource_type] = cluster.config.head_extended_resource_requests[
-            k
-        ] + to_return[0].get(resource_type, 0)
-
-    for k in cluster.config.worker_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES:
-            continue
-        to_return[1][resource_type] = cluster.config.worker_extended_resource_requests[
-            k
-        ] + to_return[1].get(resource_type, 0)
-    return to_return
-
-
-def update_nodes(
-    ray_cluster_dict: dict,
-    cluster: "codeflare_sdk.cluster.Cluster",
-):
-    head = ray_cluster_dict.get("spec").get("headGroupSpec")
-    worker = ray_cluster_dict.get("spec").get("workerGroupSpecs")[0]
-    head_gpus, worker_gpus = head_worker_gpu_count_from_cluster(cluster)
-    head_resources, worker_resources = head_worker_resources_from_cluster(cluster)
-    head_resources = json.dumps(head_resources).replace('"', '\\"')
-    head_resources = f'"{head_resources}"'
-    worker_resources = json.dumps(worker_resources).replace('"', '\\"')
-    worker_resources = f'"{worker_resources}"'
-    head["rayStartParams"]["num-gpus"] = str(head_gpus)
-    head["rayStartParams"]["resources"] = head_resources
-
-    # Head counts as first worker
-    worker["replicas"] = cluster.config.num_workers
-    worker["minReplicas"] = cluster.config.num_workers
-    worker["maxReplicas"] = cluster.config.num_workers
-    worker["groupName"] = "small-group-" + cluster.config.name
-    worker["rayStartParams"]["num-gpus"] = str(worker_gpus)
-    worker["rayStartParams"]["resources"] = worker_resources
-
-    for comp in [head, worker]:
-        spec = comp.get("template").get("spec")
-        update_image_pull_secrets(spec, cluster.config.image_pull_secrets)
-        update_image(spec, cluster.config.image)
-        update_env(spec, cluster.config.envs)
-        if comp == head:
-            # TODO: Eventually add head node configuration outside of template
-            update_resources(
-                spec,
-                cluster.config.head_cpu_requests,
-                cluster.config.head_cpu_limits,
-                cluster.config.head_memory_requests,
-                cluster.config.head_memory_limits,
-                cluster.config.head_extended_resource_requests,
-            )
-        else:
-            update_resources(
-                spec,
-                cluster.config.worker_cpu_requests,
-                cluster.config.worker_cpu_limits,
-                cluster.config.worker_memory_requests,
-                cluster.config.worker_memory_limits,
-                cluster.config.worker_extended_resource_requests,
-            )
-
-
-def del_from_list_by_name(l: list, target: typing.List[str]) -> list:
-    return [x for x in l if x["name"] not in target]
-
-
-def get_default_kueue_name(namespace: str):
-    # If the local queue is set, use it. Otherwise, try to use the default queue.
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        local_queues = api_instance.list_namespaced_custom_object(
-            group="kueue.x-k8s.io",
-            version="v1beta1",
-            namespace=namespace,
-            plural="localqueues",
-        )
-    except ApiException as e:  # pragma: no cover
-        if e.status == 404 or e.status == 403:
-            return
-        else:
-            return _kube_api_error_handling(e)
-    for lq in local_queues["items"]:
-        if (
-            "annotations" in lq["metadata"]
-            and "kueue.x-k8s.io/default-queue" in lq["metadata"]["annotations"]
-            and lq["metadata"]["annotations"]["kueue.x-k8s.io/default-queue"].lower()
-            == "true"
-        ):
-            return lq["metadata"]["name"]
-
-
-def local_queue_exists(namespace: str, local_queue_name: str):
-    # get all local queues in the namespace
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        local_queues = api_instance.list_namespaced_custom_object(
-            group="kueue.x-k8s.io",
-            version="v1beta1",
-            namespace=namespace,
-            plural="localqueues",
-        )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-    # check if local queue with the name provided in cluster config exists
-    for lq in local_queues["items"]:
-        if lq["metadata"]["name"] == local_queue_name:
-            return True
-    return False
-
-
-def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]):
-    lq_name = local_queue or get_default_kueue_name(namespace)
-    if lq_name == None:
-        return
-    elif not local_queue_exists(namespace, lq_name):
-        raise ValueError(
-            "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
-        )
-    if not "labels" in item["metadata"]:
-        item["metadata"]["labels"] = {}
-    item["metadata"]["labels"].update({"kueue.x-k8s.io/queue-name": lq_name})
-
-
-def augment_labels(item: dict, labels: dict):
-    if not "labels" in item["metadata"]:
-        item["metadata"]["labels"] = {}
-    item["metadata"]["labels"].update(labels)
-
-
-def notebook_annotations(item: dict):
-    nb_prefix = os.environ.get("NB_PREFIX")
-    if nb_prefix:
-        if not "annotations" in item["metadata"]:
-            item["metadata"]["annotations"] = {}
-        item["metadata"]["annotations"].update(
-            {"app.kubernetes.io/managed-by": nb_prefix}
-        )
-
-
-def wrap_cluster(cluster_yaml: dict, appwrapper_name: str, namespace: str):
-    return {
-        "apiVersion": "workload.codeflare.dev/v1beta2",
-        "kind": "AppWrapper",
-        "metadata": {"name": appwrapper_name, "namespace": namespace},
-        "spec": {"components": [{"template": cluster_yaml}]},
-    }
-
-
-def write_user_yaml(user_yaml, output_file_name):
-    # Create the directory if it doesn't exist
-    directory_path = os.path.dirname(output_file_name)
-    if not os.path.exists(directory_path):
-        os.makedirs(directory_path)
-
-    with open(output_file_name, "w") as outfile:
-        yaml.dump(user_yaml, outfile, default_flow_style=False)
-
-    print(f"Written to: {output_file_name}")
-
-
-def generate_appwrapper(cluster: "codeflare_sdk.cluster.Cluster"):
-    cluster_yaml = read_template(cluster.config.template)
-    appwrapper_name, _ = gen_names(cluster.config.name)
-    update_names(
-        cluster_yaml,
-        cluster,
-    )
-    update_nodes(cluster_yaml, cluster)
-    augment_labels(cluster_yaml, cluster.config.labels)
-    notebook_annotations(cluster_yaml)
-    user_yaml = (
-        wrap_cluster(cluster_yaml, appwrapper_name, cluster.config.namespace)
-        if cluster.config.appwrapper
-        else cluster_yaml
-    )
-
-    add_queue_label(user_yaml, cluster.config.namespace, cluster.config.local_queue)
-
-    if cluster.config.write_to_file:
-        directory_path = os.path.expanduser("~/.codeflare/resources/")
-        outfile = os.path.join(directory_path, appwrapper_name + ".yaml")
-        write_user_yaml(user_yaml, outfile)
-        return outfile
-    else:
-        user_yaml = yaml.dump(user_yaml)
-        print(f"Yaml resources loaded for {cluster.config.name}")
-        return user_yaml
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Functions
    
-
    
-
    
-def add_queue_label(item: dict, namespace: str, local_queue: Optional[str])
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]):
-    lq_name = local_queue or get_default_kueue_name(namespace)
-    if lq_name == None:
-        return
-    elif not local_queue_exists(namespace, lq_name):
-        raise ValueError(
-            "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
-        )
-    if not "labels" in item["metadata"]:
-        item["metadata"]["labels"] = {}
-    item["metadata"]["labels"].update({"kueue.x-k8s.io/queue-name": lq_name})
    
-
    
-
    
-
    
-def augment_labels(item: dict, labels: dict)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def augment_labels(item: dict, labels: dict):
-    if not "labels" in item["metadata"]:
-        item["metadata"]["labels"] = {}
-    item["metadata"]["labels"].update(labels)
    
-
    
-
    
-
    
-def del_from_list_by_name(l: list, target: List[str]) ‑> list
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def del_from_list_by_name(l: list, target: typing.List[str]) -> list:
-    return [x for x in l if x["name"] not in target]
    
-
    
-
    
-
    
-def gen_names(name)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def gen_names(name):
-    if not name:
-        gen_id = str(uuid.uuid4())
-        appwrapper_name = "appwrapper-" + gen_id
-        cluster_name = "cluster-" + gen_id
-        return appwrapper_name, cluster_name
-    else:
-        return name, name
    
-
    
-
    
-
    
-def generate_appwrapper(cluster: codeflare_sdk.cluster.Cluster)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def generate_appwrapper(cluster: "codeflare_sdk.cluster.Cluster"):
-    cluster_yaml = read_template(cluster.config.template)
-    appwrapper_name, _ = gen_names(cluster.config.name)
-    update_names(
-        cluster_yaml,
-        cluster,
-    )
-    update_nodes(cluster_yaml, cluster)
-    augment_labels(cluster_yaml, cluster.config.labels)
-    notebook_annotations(cluster_yaml)
-    user_yaml = (
-        wrap_cluster(cluster_yaml, appwrapper_name, cluster.config.namespace)
-        if cluster.config.appwrapper
-        else cluster_yaml
-    )
-
-    add_queue_label(user_yaml, cluster.config.namespace, cluster.config.local_queue)
-
-    if cluster.config.write_to_file:
-        directory_path = os.path.expanduser("~/.codeflare/resources/")
-        outfile = os.path.join(directory_path, appwrapper_name + ".yaml")
-        write_user_yaml(user_yaml, outfile)
-        return outfile
-    else:
-        user_yaml = yaml.dump(user_yaml)
-        print(f"Yaml resources loaded for {cluster.config.name}")
-        return user_yaml
    
-
    
-
    
-
    
-def get_default_kueue_name(namespace: str)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def get_default_kueue_name(namespace: str):
-    # If the local queue is set, use it. Otherwise, try to use the default queue.
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        local_queues = api_instance.list_namespaced_custom_object(
-            group="kueue.x-k8s.io",
-            version="v1beta1",
-            namespace=namespace,
-            plural="localqueues",
-        )
-    except ApiException as e:  # pragma: no cover
-        if e.status == 404 or e.status == 403:
-            return
-        else:
-            return _kube_api_error_handling(e)
-    for lq in local_queues["items"]:
-        if (
-            "annotations" in lq["metadata"]
-            and "kueue.x-k8s.io/default-queue" in lq["metadata"]["annotations"]
-            and lq["metadata"]["annotations"]["kueue.x-k8s.io/default-queue"].lower()
-            == "true"
-        ):
-            return lq["metadata"]["name"]
    
-
    
-
    
-
    
-def head_worker_gpu_count_from_cluster(cluster: codeflare_sdk.cluster.Cluster) ‑> Tuple[int, int]
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def head_worker_gpu_count_from_cluster(
-    cluster: "codeflare_sdk.cluster.Cluster",
-) -> typing.Tuple[int, int]:
-    head_gpus = 0
-    worker_gpus = 0
-    for k in cluster.config.head_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type == "GPU":
-            head_gpus += int(cluster.config.head_extended_resource_requests[k])
-    for k in cluster.config.worker_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type == "GPU":
-            worker_gpus += int(cluster.config.worker_extended_resource_requests[k])
-
-    return head_gpus, worker_gpus
    
-
    
-
    
-
    
-def head_worker_resources_from_cluster(cluster: codeflare_sdk.cluster.Cluster) ‑> Tuple[dict, dict]
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def head_worker_resources_from_cluster(
-    cluster: "codeflare_sdk.cluster.Cluster",
-) -> typing.Tuple[dict, dict]:
-    to_return = {}, {}
-    for k in cluster.config.head_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES:
-            continue
-        to_return[0][resource_type] = cluster.config.head_extended_resource_requests[
-            k
-        ] + to_return[0].get(resource_type, 0)
-
-    for k in cluster.config.worker_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES:
-            continue
-        to_return[1][resource_type] = cluster.config.worker_extended_resource_requests[
-            k
-        ] + to_return[1].get(resource_type, 0)
-    return to_return
    
-
    
-
    
-
    
-def is_kind_cluster()
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def is_kind_cluster():
-    try:
-        config_check()
-        v1 = client.CoreV1Api()
-        label_selector = "kubernetes.io/hostname=kind-control-plane"
-        nodes = v1.list_node(label_selector=label_selector)
-        # If we find one or more nodes with the label, assume it's a KinD cluster
-        return len(nodes.items) > 0
-    except Exception as e:
-        print(f"Error checking if cluster is KinD: {e}")
-        return False
    
-
    
-
    
-
    
-def is_openshift_cluster()
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def is_openshift_cluster():
-    try:
-        config_check()
-        for api in client.ApisApi(get_api_client()).get_api_versions().groups:
-            for v in api.versions:
-                if "route.openshift.io/v1" in v.group_version:
-                    return True
-        else:
-            return False
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
    
-
    
-
    
-
    
-def local_queue_exists(namespace: str, local_queue_name: str)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def local_queue_exists(namespace: str, local_queue_name: str):
-    # get all local queues in the namespace
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        local_queues = api_instance.list_namespaced_custom_object(
-            group="kueue.x-k8s.io",
-            version="v1beta1",
-            namespace=namespace,
-            plural="localqueues",
-        )
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-    # check if local queue with the name provided in cluster config exists
-    for lq in local_queues["items"]:
-        if lq["metadata"]["name"] == local_queue_name:
-            return True
-    return False
    
-
    
-
    
-
    
-def notebook_annotations(item: dict)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def notebook_annotations(item: dict):
-    nb_prefix = os.environ.get("NB_PREFIX")
-    if nb_prefix:
-        if not "annotations" in item["metadata"]:
-            item["metadata"]["annotations"] = {}
-        item["metadata"]["annotations"].update(
-            {"app.kubernetes.io/managed-by": nb_prefix}
-        )
    
-
    
-
    
-
    
-def read_template(template)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def read_template(template):
-    with open(template, "r") as stream:
-        try:
-            return yaml.safe_load(stream)
-        except yaml.YAMLError as exc:
-            print(exc)
    
-
    
-
    
-
    
-def update_env(spec, env)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def update_env(spec, env):
-    containers = spec.get("containers")
-    for container in containers:
-        if env:
-            if "env" in container:
-                container["env"].extend(env)
-            else:
-                container["env"] = env
    
-
    
-
    
-
    
-def update_image(spec, image)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def update_image(spec, image):
-    containers = spec.get("containers")
-    if image != "":
-        for container in containers:
-            container["image"] = image
    
-
    
-
    
-
    
-def update_image_pull_secrets(spec, image_pull_secrets)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def update_image_pull_secrets(spec, image_pull_secrets):
-    template_secrets = spec.get("imagePullSecrets", [])
-    spec["imagePullSecrets"] = template_secrets + [
-        {"name": x} for x in image_pull_secrets
-    ]
    
-
    
-
    
-
    
-def update_names(cluster_yaml: dict, cluster: codeflare_sdk.cluster.Cluster)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def update_names(
-    cluster_yaml: dict,
-    cluster: "codeflare_sdk.cluster.Cluster",
-):
-    metadata = cluster_yaml.get("metadata")
-    metadata["name"] = cluster.config.name
-    metadata["namespace"] = cluster.config.namespace
    
-
    
-
    
-
    
-def update_nodes(ray_cluster_dict: dict, cluster: codeflare_sdk.cluster.Cluster)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def update_nodes(
-    ray_cluster_dict: dict,
-    cluster: "codeflare_sdk.cluster.Cluster",
-):
-    head = ray_cluster_dict.get("spec").get("headGroupSpec")
-    worker = ray_cluster_dict.get("spec").get("workerGroupSpecs")[0]
-    head_gpus, worker_gpus = head_worker_gpu_count_from_cluster(cluster)
-    head_resources, worker_resources = head_worker_resources_from_cluster(cluster)
-    head_resources = json.dumps(head_resources).replace('"', '\\"')
-    head_resources = f'"{head_resources}"'
-    worker_resources = json.dumps(worker_resources).replace('"', '\\"')
-    worker_resources = f'"{worker_resources}"'
-    head["rayStartParams"]["num-gpus"] = str(head_gpus)
-    head["rayStartParams"]["resources"] = head_resources
-
-    # Head counts as first worker
-    worker["replicas"] = cluster.config.num_workers
-    worker["minReplicas"] = cluster.config.num_workers
-    worker["maxReplicas"] = cluster.config.num_workers
-    worker["groupName"] = "small-group-" + cluster.config.name
-    worker["rayStartParams"]["num-gpus"] = str(worker_gpus)
-    worker["rayStartParams"]["resources"] = worker_resources
-
-    for comp in [head, worker]:
-        spec = comp.get("template").get("spec")
-        update_image_pull_secrets(spec, cluster.config.image_pull_secrets)
-        update_image(spec, cluster.config.image)
-        update_env(spec, cluster.config.envs)
-        if comp == head:
-            # TODO: Eventually add head node configuration outside of template
-            update_resources(
-                spec,
-                cluster.config.head_cpu_requests,
-                cluster.config.head_cpu_limits,
-                cluster.config.head_memory_requests,
-                cluster.config.head_memory_limits,
-                cluster.config.head_extended_resource_requests,
-            )
-        else:
-            update_resources(
-                spec,
-                cluster.config.worker_cpu_requests,
-                cluster.config.worker_cpu_limits,
-                cluster.config.worker_memory_requests,
-                cluster.config.worker_memory_limits,
-                cluster.config.worker_extended_resource_requests,
-            )
    
-
    
-
    
-
    
-def update_resources(spec, cpu_requests, cpu_limits, memory_requests, memory_limits, custom_resources)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def update_resources(
-    spec,
-    cpu_requests,
-    cpu_limits,
-    memory_requests,
-    memory_limits,
-    custom_resources,
-):
-    container = spec.get("containers")
-    for resource in container:
-        requests = resource.get("resources").get("requests")
-        if requests is not None:
-            requests["cpu"] = cpu_requests
-            requests["memory"] = memory_requests
-        limits = resource.get("resources").get("limits")
-        if limits is not None:
-            limits["cpu"] = cpu_limits
-            limits["memory"] = memory_limits
-        for k in custom_resources.keys():
-            limits[k] = custom_resources[k]
-            requests[k] = custom_resources[k]
    
-
    
-
    
-
    
-def wrap_cluster(cluster_yaml: dict, appwrapper_name: str, namespace: str)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def wrap_cluster(cluster_yaml: dict, appwrapper_name: str, namespace: str):
-    return {
-        "apiVersion": "workload.codeflare.dev/v1beta2",
-        "kind": "AppWrapper",
-        "metadata": {"name": appwrapper_name, "namespace": namespace},
-        "spec": {"components": [{"template": cluster_yaml}]},
-    }
    
-
    
-
    
-
    
-def write_user_yaml(user_yaml, output_file_name)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def write_user_yaml(user_yaml, output_file_name):
-    # Create the directory if it doesn't exist
-    directory_path = os.path.dirname(output_file_name)
-    if not os.path.exists(directory_path):
-        os.makedirs(directory_path)
-
-    with open(output_file_name, "w") as outfile:
-        yaml.dump(user_yaml, outfile, default_flow_style=False)
-
-    print(f"Written to: {output_file_name}")
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/utils/index.html b/docs/detailed-documentation/utils/index.html
deleted file mode 100644
index 4a65cc39..00000000
--- a/docs/detailed-documentation/utils/index.html
+++ /dev/null
@@ -1,88 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.utils API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.utils
    
-
    
-
    
-
    
-
    
-
    Sub-modules
    
-
    
-
    codeflare_sdk.utils.demos
    
-
    
-
    
-
    
-
    codeflare_sdk.utils.generate_cert
    
-
    
-
    
-
    
-
    codeflare_sdk.utils.generate_yaml
    
-
    
-
    This sub-module exists primarily to be used internally by the Cluster object
-(in the cluster sub-module) for AppWrapper generation.
    
-
    
-
    codeflare_sdk.utils.kube_api_helpers
    
-
    
-
    This sub-module exists primarily to be used internally for any Kubernetes
-API error handling or wrapping.
    
-
    
-
    codeflare_sdk.utils.pretty_print
    
-
    
-
    This sub-module exists primarily to be used internally by the Cluster object
-(in the cluster sub-module) for pretty-printing cluster status and details.
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/utils/kube_api_helpers.html b/docs/detailed-documentation/utils/kube_api_helpers.html
deleted file mode 100644
index 6bf6fe81..00000000
--- a/docs/detailed-documentation/utils/kube_api_helpers.html
+++ /dev/null
@@ -1,112 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.utils.kube_api_helpers API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.utils.kube_api_helpers
    
-
    
-
    
-
    This sub-module exists primarily to be used internally for any Kubernetes
-API error handling or wrapping.
    
-
    
-
-Expand source code
-
-
    # Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-This sub-module exists primarily to be used internally for any Kubernetes
-API error handling or wrapping.
-"""
-
-import executing
-from kubernetes import client, config
-from urllib3.util import parse_url
-
-
-# private methods
-def _kube_api_error_handling(
-    e: Exception, print_error: bool = True
-):  # pragma: no cover
-    perm_msg = (
-        "Action not permitted, have you put in correct/up-to-date auth credentials?"
-    )
-    nf_msg = "No instances found, nothing to be done."
-    exists_msg = "Resource with this name already exists."
-    if type(e) == config.ConfigException:
-        raise PermissionError(perm_msg)
-    if type(e) == executing.executing.NotOneValueFound:
-        if print_error:
-            print(nf_msg)
-        return
-    if type(e) == client.ApiException:
-        if e.reason == "Not Found":
-            if print_error:
-                print(nf_msg)
-            return
-        elif e.reason == "Unauthorized" or e.reason == "Forbidden":
-            if print_error:
-                print(perm_msg)
-            return
-        elif e.reason == "Conflict":
-            raise FileExistsError(exists_msg)
-    raise e
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/detailed-documentation/utils/pretty_print.html b/docs/detailed-documentation/utils/pretty_print.html
deleted file mode 100644
index f2a8d7db..00000000
--- a/docs/detailed-documentation/utils/pretty_print.html
+++ /dev/null
@@ -1,491 +0,0 @@
-
-
-
-
-
-
-codeflare_sdk.utils.pretty_print API documentation
-
-
-
-
-
-
-
-
-
-
-
-
    
-
    
-
    
-
    Module codeflare_sdk.utils.pretty_print
    
-
    
-
    
-
    This sub-module exists primarily to be used internally by the Cluster object
-(in the cluster sub-module) for pretty-printing cluster status and details.
    
-
    
-
-Expand source code
-
-
    # Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-This sub-module exists primarily to be used internally by the Cluster object
-(in the cluster sub-module) for pretty-printing cluster status and details.
-"""
-
-from rich import print
-from rich.table import Table
-from rich.console import Console
-from rich.layout import Layout
-from rich.panel import Panel
-from rich import box
-from typing import List
-from ..cluster.model import RayCluster, AppWrapper, RayClusterStatus
-
-
-def print_no_resources_found():
-    console = Console()
-    console.print(Panel("[red]No resources found, have you run cluster.up() yet?"))
-
-
-def print_app_wrappers_status(app_wrappers: List[AppWrapper], starting: bool = False):
-    if not app_wrappers:
-        print_no_resources_found()
-        return  # shortcircuit
-
-    console = Console()
-    table = Table(
-        box=box.ASCII_DOUBLE_HEAD,
-        title="[bold] :rocket: Cluster Queue Status :rocket:",
-    )
-    table.add_column("Name", style="cyan", no_wrap=True)
-    table.add_column("Status", style="magenta")
-
-    for app_wrapper in app_wrappers:
-        name = app_wrapper.name
-        status = app_wrapper.status.value
-        if starting:
-            status += " (starting)"
-        table.add_row(name, status)
-        table.add_row("")  # empty row for spacing
-
-    console.print(Panel.fit(table))
-
-
-def print_ray_clusters_status(app_wrappers: List[AppWrapper], starting: bool = False):
-    if not app_wrappers:
-        print_no_resources_found()
-        return  # shortcircuit
-
-    console = Console()
-    table = Table(
-        box=box.ASCII_DOUBLE_HEAD,
-        title="[bold] :rocket: Cluster Queue Status :rocket:",
-    )
-    table.add_column("Name", style="cyan", no_wrap=True)
-    table.add_column("Status", style="magenta")
-
-    for app_wrapper in app_wrappers:
-        name = app_wrapper.name
-        status = app_wrapper.status.value
-        if starting:
-            status += " (starting)"
-        table.add_row(name, status)
-        table.add_row("")  # empty row for spacing
-
-    console.print(Panel.fit(table))
-
-
-def print_cluster_status(cluster: RayCluster):
-    "Pretty prints the status of a passed-in cluster"
-    if not cluster:
-        print_no_resources_found()
-        return
-
-    console = Console()
-    status = (
-        "Active :white_heavy_check_mark:"
-        if cluster.status == RayClusterStatus.READY
-        else "Inactive :x:"
-    )
-    name = cluster.name
-    dashboard = cluster.dashboard
-
-    #'table0' to display the cluster name, status, url, and dashboard link
-    table0 = Table(box=None, show_header=False)
-
-    table0.add_row("[white on green][bold]Name")
-    table0.add_row("[bold underline]" + name, status)
-    table0.add_row()
-    # fixme harcded to default for now
-    table0.add_row(
-        f"[bold]URI:[/bold] ray://{cluster.name}-head-svc.{cluster.namespace}.svc:10001"
-    )  # format that is used to generate the name of the service
-    table0.add_row()
-    table0.add_row(f"[link={dashboard} blue underline]Dashboard:link:[/link]")
-    table0.add_row("")  # empty row for spacing
-
-    # table4 to display table0 and table3, one below the other
-    table4 = Table(box=None, show_header=False)
-    table4.add_row(table0)
-
-    # Encompass all details of the cluster in a single panel
-    table5 = Table(box=None, title="[bold] :rocket: CodeFlare Cluster Status :rocket:")
-    table5.add_row(Panel.fit(table4))
-    console.print(table5)
-
-
-def print_clusters(clusters: List[RayCluster]):
-    if not clusters:
-        print_no_resources_found()
-        return  # shortcircuit
-
-    console = Console()
-    title_printed = False
-
-    for cluster in clusters:
-        status = (
-            "Active :white_heavy_check_mark:"
-            if cluster.status == RayClusterStatus.READY
-            else "Inactive :x:"
-        )
-        name = cluster.name
-        dashboard = cluster.dashboard
-        workers = str(cluster.num_workers)
-        memory = f"{cluster.worker_mem_requests}~{cluster.worker_mem_limits}"
-        cpu = f"{cluster.worker_cpu_requests}~{cluster.worker_cpu_limits}"
-        gpu = str(cluster.worker_extended_resources.get("nvidia.com/gpu", 0))
-
-        #'table0' to display the cluster name, status, url, and dashboard link
-        table0 = Table(box=None, show_header=False)
-
-        table0.add_row("[white on green][bold]Name")
-        table0.add_row("[bold underline]" + name, status)
-        table0.add_row()
-        # fixme harcded to default for now
-        table0.add_row(
-            f"[bold]URI:[/bold] ray://{cluster.name}-head-svc.{cluster.namespace}.svc:10001"
-        )  # format that is used to generate the name of the service
-        table0.add_row()
-        table0.add_row(f"[link={dashboard} blue underline]Dashboard:link:[/link]")
-        table0.add_row("")  # empty row for spacing
-
-        #'table1' to display the worker counts
-        table1 = Table(box=None)
-        table1.add_row()
-        table1.add_column("# Workers", style="magenta")
-        table1.add_row()
-        table1.add_row(workers)
-        table1.add_row()
-
-        #'table2' to display the worker resources
-        table2 = Table(box=None)
-        table2.add_column("Memory", style="cyan", no_wrap=True, min_width=10)
-        table2.add_column("CPU", style="magenta", min_width=10)
-        table2.add_column("GPU", style="magenta", min_width=10)
-        table2.add_row()
-        table2.add_row(memory, cpu, gpu)
-        table2.add_row()
-
-        # panels to encompass table1 and table2 into separate cards
-        panel_1 = Panel.fit(table1, title="Workers")
-        panel_2 = Panel.fit(table2, title="Worker specs(each)")
-
-        # table3 to display panel_1 and panel_2 side-by-side in a single row
-        table3 = Table(box=None, show_header=False, title="Cluster Resources")
-        table3.add_row(panel_1, panel_2)
-
-        # table4 to display table0 and table3, one below the other
-        table4 = Table(box=None, show_header=False)
-        table4.add_row(table0)
-        table4.add_row(table3)
-
-        # Encompass all details of the cluster in a single panel
-        if not title_printed:
-            # If first cluster in the list, then create a table with title "Codeflare clusters".
-            # This is done to ensure the title is center aligned on the cluster display tables, rather
-            # than being center aligned on the console/terminal if we simply use console.print(title)
-
-            table5 = Table(
-                box=None, title="[bold] :rocket: CodeFlare Cluster Details :rocket:"
-            )
-            table5.add_row(Panel.fit(table4))
-            console.print(table5)
-            title_printed = True
-        else:
-            console.print(Panel.fit(table4))
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    Functions
    
-
    
-
    
-def print_app_wrappers_status(app_wrappers: List[AppWrapper], starting: bool = False)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def print_app_wrappers_status(app_wrappers: List[AppWrapper], starting: bool = False):
-    if not app_wrappers:
-        print_no_resources_found()
-        return  # shortcircuit
-
-    console = Console()
-    table = Table(
-        box=box.ASCII_DOUBLE_HEAD,
-        title="[bold] :rocket: Cluster Queue Status :rocket:",
-    )
-    table.add_column("Name", style="cyan", no_wrap=True)
-    table.add_column("Status", style="magenta")
-
-    for app_wrapper in app_wrappers:
-        name = app_wrapper.name
-        status = app_wrapper.status.value
-        if starting:
-            status += " (starting)"
-        table.add_row(name, status)
-        table.add_row("")  # empty row for spacing
-
-    console.print(Panel.fit(table))
    
-
    
-
    
-
    
-def print_cluster_status(cluster: RayCluster)
-
    
-
    
-
    Pretty prints the status of a passed-in cluster
    
-
    
-
-Expand source code
-
-
    def print_cluster_status(cluster: RayCluster):
-    "Pretty prints the status of a passed-in cluster"
-    if not cluster:
-        print_no_resources_found()
-        return
-
-    console = Console()
-    status = (
-        "Active :white_heavy_check_mark:"
-        if cluster.status == RayClusterStatus.READY
-        else "Inactive :x:"
-    )
-    name = cluster.name
-    dashboard = cluster.dashboard
-
-    #'table0' to display the cluster name, status, url, and dashboard link
-    table0 = Table(box=None, show_header=False)
-
-    table0.add_row("[white on green][bold]Name")
-    table0.add_row("[bold underline]" + name, status)
-    table0.add_row()
-    # fixme harcded to default for now
-    table0.add_row(
-        f"[bold]URI:[/bold] ray://{cluster.name}-head-svc.{cluster.namespace}.svc:10001"
-    )  # format that is used to generate the name of the service
-    table0.add_row()
-    table0.add_row(f"[link={dashboard} blue underline]Dashboard:link:[/link]")
-    table0.add_row("")  # empty row for spacing
-
-    # table4 to display table0 and table3, one below the other
-    table4 = Table(box=None, show_header=False)
-    table4.add_row(table0)
-
-    # Encompass all details of the cluster in a single panel
-    table5 = Table(box=None, title="[bold] :rocket: CodeFlare Cluster Status :rocket:")
-    table5.add_row(Panel.fit(table4))
-    console.print(table5)
    
-
    
-
    
-
    
-def print_clusters(clusters: List[RayCluster])
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def print_clusters(clusters: List[RayCluster]):
-    if not clusters:
-        print_no_resources_found()
-        return  # shortcircuit
-
-    console = Console()
-    title_printed = False
-
-    for cluster in clusters:
-        status = (
-            "Active :white_heavy_check_mark:"
-            if cluster.status == RayClusterStatus.READY
-            else "Inactive :x:"
-        )
-        name = cluster.name
-        dashboard = cluster.dashboard
-        workers = str(cluster.num_workers)
-        memory = f"{cluster.worker_mem_requests}~{cluster.worker_mem_limits}"
-        cpu = f"{cluster.worker_cpu_requests}~{cluster.worker_cpu_limits}"
-        gpu = str(cluster.worker_extended_resources.get("nvidia.com/gpu", 0))
-
-        #'table0' to display the cluster name, status, url, and dashboard link
-        table0 = Table(box=None, show_header=False)
-
-        table0.add_row("[white on green][bold]Name")
-        table0.add_row("[bold underline]" + name, status)
-        table0.add_row()
-        # fixme harcded to default for now
-        table0.add_row(
-            f"[bold]URI:[/bold] ray://{cluster.name}-head-svc.{cluster.namespace}.svc:10001"
-        )  # format that is used to generate the name of the service
-        table0.add_row()
-        table0.add_row(f"[link={dashboard} blue underline]Dashboard:link:[/link]")
-        table0.add_row("")  # empty row for spacing
-
-        #'table1' to display the worker counts
-        table1 = Table(box=None)
-        table1.add_row()
-        table1.add_column("# Workers", style="magenta")
-        table1.add_row()
-        table1.add_row(workers)
-        table1.add_row()
-
-        #'table2' to display the worker resources
-        table2 = Table(box=None)
-        table2.add_column("Memory", style="cyan", no_wrap=True, min_width=10)
-        table2.add_column("CPU", style="magenta", min_width=10)
-        table2.add_column("GPU", style="magenta", min_width=10)
-        table2.add_row()
-        table2.add_row(memory, cpu, gpu)
-        table2.add_row()
-
-        # panels to encompass table1 and table2 into separate cards
-        panel_1 = Panel.fit(table1, title="Workers")
-        panel_2 = Panel.fit(table2, title="Worker specs(each)")
-
-        # table3 to display panel_1 and panel_2 side-by-side in a single row
-        table3 = Table(box=None, show_header=False, title="Cluster Resources")
-        table3.add_row(panel_1, panel_2)
-
-        # table4 to display table0 and table3, one below the other
-        table4 = Table(box=None, show_header=False)
-        table4.add_row(table0)
-        table4.add_row(table3)
-
-        # Encompass all details of the cluster in a single panel
-        if not title_printed:
-            # If first cluster in the list, then create a table with title "Codeflare clusters".
-            # This is done to ensure the title is center aligned on the cluster display tables, rather
-            # than being center aligned on the console/terminal if we simply use console.print(title)
-
-            table5 = Table(
-                box=None, title="[bold] :rocket: CodeFlare Cluster Details :rocket:"
-            )
-            table5.add_row(Panel.fit(table4))
-            console.print(table5)
-            title_printed = True
-        else:
-            console.print(Panel.fit(table4))
    
-
    
-
    
-
    
-def print_no_resources_found()
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def print_no_resources_found():
-    console = Console()
-    console.print(Panel("[red]No resources found, have you run cluster.up() yet?"))
    
-
    
-
    
-
    
-def print_ray_clusters_status(app_wrappers: List[AppWrapper], starting: bool = False)
-
    
-
    
-
    
-
    
-
-Expand source code
-
-
    def print_ray_clusters_status(app_wrappers: List[AppWrapper], starting: bool = False):
-    if not app_wrappers:
-        print_no_resources_found()
-        return  # shortcircuit
-
-    console = Console()
-    table = Table(
-        box=box.ASCII_DOUBLE_HEAD,
-        title="[bold] :rocket: Cluster Queue Status :rocket:",
-    )
-    table.add_column("Name", style="cyan", no_wrap=True)
-    table.add_column("Status", style="magenta")
-
-    for app_wrapper in app_wrappers:
-        name = app_wrapper.name
-        status = app_wrapper.status.value
-        if starting:
-            status += " (starting)"
-        table.add_row(name, status)
-        table.add_row("")  # empty row for spacing
-
-    console.print(Panel.fit(table))
    
-
    
-
    
-
    
-
    
-
    
-
    
-
    
-
-
    
-
-
-
diff --git a/docs/e2e.md b/docs/e2e.md
deleted file mode 100644
index 83d8ae4e..00000000
--- a/docs/e2e.md
+++ /dev/null
@@ -1,133 +0,0 @@
-# Running e2e tests locally
-#### Pre-requisites
-- We recommend using Python 3.9, along with Poetry.
-
-## On KinD clusters
-Pre-requisite for KinD clusters: please add in your local `/etc/hosts` file `127.0.0.1 kind`. This will map your localhost IP address to the KinD cluster's hostname. This is already performed on [GitHub Actions](https://github.com/project-codeflare/codeflare-common/blob/1edd775e2d4088a5a0bfddafb06ff3a773231c08/github-actions/kind/action.yml#L70-L72)
-
-If the system you run on contains NVidia GPU then you can enable the GPU support in KinD, this will allow you to run also GPU tests.
-To enable GPU on KinD follow [these instructions](https://www.substratus.ai/blog/kind-with-gpus).
-
-- Setup Phase:
-  - Pull the [codeflare-operator repo](https://github.com/project-codeflare/codeflare-operator) and run the following make targets:
-  ```
-  make kind-e2e
-  export CLUSTER_HOSTNAME=kind
-  make setup-e2e
-  make deploy -e IMG=quay.io/project-codeflare/codeflare-operator:v1.3.0
-
-  For running tests locally on Kind cluster, we need to disable `rayDashboardOAuthEnabled` in `codeflare-operator-config` ConfigMap and then restart CodeFlare Operator
-  ```
-
-  - **(Optional)** - Create and add `sdk-user` with limited permissions to the cluster to run through the e2e tests:
-  ```
-    # Get KinD certificates
-    docker cp kind-control-plane:/etc/kubernetes/pki/ca.crt .
-    docker cp kind-control-plane:/etc/kubernetes/pki/ca.key .
-
-    # Generate certificates for new user
-    openssl genrsa -out user.key 2048
-    openssl req -new -key user.key -out user.csr -subj '/CN=sdk-user/O=tenant'
-    openssl x509 -req -in user.csr -CA ca.crt -CAkey ca.key -CAcreateserial -out user.crt -days 360
-
-    # Add generated certificated to KinD context
-    user_crt=$(base64 --wrap=0 user.crt)
-    user_key=$(base64 --wrap=0 user.key)
-    yq eval -i ".contexts += {\"context\": {\"cluster\": \"kind-kind\", \"user\": \"sdk-user\"}, \"name\": \"sdk-user\"}" $HOME/.kube/config
-    yq eval -i ".users += {\"name\": \"sdk-user\", \"user\": {\"client-certificate-data\": \"$user_crt\", \"client-key-data\": \"$user_key\"}}" $HOME/.kube/config
-    cat $HOME/.kube/config
-
-    # Cleanup
-    rm ca.crt
-    rm ca.srl
-    rm ca.key
-    rm user.crt
-    rm user.key
-    rm user.csr
-
-    # Add RBAC permissions to sdk-user
-    kubectl create clusterrole list-ingresses --verb=get,list --resource=ingresses
-    kubectl create clusterrolebinding sdk-user-list-ingresses --clusterrole=list-ingresses --user=sdk-user
-    kubectl create clusterrole appwrapper-creator --verb=get,list,create,delete,patch --resource=appwrappers
-    kubectl create clusterrolebinding sdk-user-appwrapper-creator --clusterrole=appwrapper-creator --user=sdk-user
-    kubectl create clusterrole namespace-creator --verb=get,list,create,delete,patch --resource=namespaces
-    kubectl create clusterrolebinding sdk-user-namespace-creator --clusterrole=namespace-creator --user=sdk-user
-    kubectl create clusterrole list-rayclusters --verb=get,list --resource=rayclusters
-    kubectl create clusterrolebinding sdk-user-list-rayclusters --clusterrole=list-rayclusters --user=sdk-user
-    kubectl config use-context sdk-user
-
-  ```
-
-  - Install the latest development version of kueue
-  ```
-  kubectl apply --server-side -k "github.com/opendatahub-io/kueue/config/rhoai?ref=dev"
-  ```
-
-- Test Phase:
-   - Once we have the codeflare-operator, kuberay-operator and kueue running and ready, we can run the e2e test on the codeflare-sdk repository:
-  ```
-  poetry install --with test,docs
-  poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_kind_test.py
-  ```
-   - If the cluster doesn't have NVidia GPU support then we need to disable NVidia GPU tests by providing proper marker:
-  ```
-  poetry install --with test,docs
-  poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_kind_test.py -m 'kind and not nvidia_gpu'
-  ```
-
-
-## On OpenShift clusters
-- Setup Phase:
-  - Pull the [codeflare-operator repo](https://github.com/project-codeflare/codeflare-operator) and run the following make targets:
-  ```
-
-  make setup-e2e
-  make deploy -e IMG=quay.io/project-codeflare/codeflare-operator:v1.3.0
-  ```
-
-  - Install the latest development version of kueue
-  ```
-  kubectl apply --server-side -k "github.com/opendatahub-io/kueue/config/rhoai?ref=dev"
-  ```
-
-If the system you run on contains NVidia GPU then you can enable the GPU support on OpenShift, this will allow you to run also GPU tests.
-To enable GPU on OpenShift follow [these instructions](https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/introduction.html).
-Currently the SDK doesn't support tolerations, so e2e tests can't be executed on nodes with taint (i.e. GPU taint).
-
-- Test Phase:
-   - Once we have the codeflare-operator, kuberay-operator and kueue running and ready, we can run the e2e test on the codeflare-sdk repository:
-  ```
-  poetry install --with test,docs
-  poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_test.py
-  ```
-  - To run the multiple tests based on the cluster environment, we can run the e2e tests by marking -m with cluster environment (kind or openshift)
-  ```
-  poetry run pytest -v -s ./tests/e2e -m openshift
-  ```
-  - By default tests configured with timeout of `15 minutes`. If necessary, we can override the timeout using `--timeout` option
-  ```
-  poetry run pytest -v -s ./tests/e2e -m openshift --timeout=1200
-  ```
-
-## On OpenShift Disconnected clusters
-
-- In addition to setup phase mentioned above in case of Openshift cluster, Disconnected environment requires following pre-requisites :
-   - Mirror Image registry :
-     - Image mirror registry is used to host set of container images required locally for the applications and services. This ensures to pull images without needing an external network connection. It also ensures continuous operation and deployment capabilities in a network-isolated environment.
-   - PYPI Mirror Index :
-     - When trying to install Python packages in a disconnected environment, the pip command might fail because the connection cannot install packages from external URLs. This issue can be resolved by setting up PIP Mirror Index on separate endpoint in same environment.
-   - S3 compatible storage :
-     - Some of our distributed training examples require an external storage solution so that all nodes can access the same data in disconnected environment (For example: common-datasets and model files).
-     - Minio S3 compatible storage type instance can be deployed in disconnected environment using `/tests/e2e/minio_deployment.yaml` or using support methods in e2e test suite.
-     - The following are environment variables for configuring PIP index URl for accessing the common-python packages required and the S3 or Minio storage for your Ray Train script or interactive session.
-    ```
-    export RAY_IMAGE=quay.io/project-codeflare/ray@sha256: (prefer image digest over image tag in disocnnected environment)
-    PIP_INDEX_URL=https:///root/pypi/+simple/ \
-    PIP_TRUSTED_HOST= \
-    AWS_DEFAULT_ENDPOINT= \
-    AWS_ACCESS_KEY_ID=  \
-    AWS_SECRET_ACCESS_KEY=  \
-    AWS_STORAGE_BUCKET=
-    AWS_STORAGE_BUCKET_MNIST_DIR=
-    ```
-    Note : When using the Python Minio client to connect to a minio storage bucket, the `AWS_DEFAULT_ENDPOINT` environment variable by default expects secure endpoint where user can use endpoint url with https/http prefix for autodetection of secure/insecure endpoint.
diff --git a/docs/generate-documentation.md b/docs/generate-documentation.md
new file mode 100644
index 00000000..75b5c7c6
--- /dev/null
+++ b/docs/generate-documentation.md
@@ -0,0 +1,14 @@
+# Generate CodeFlare Documentation with Sphinx
+The following is a short guide on how you can use Sphinx to auto-generate code documentation. Documentation for the latest SDK release can be found [here](https://project-codeflare.github.io/codeflare-sdk/index.html).
+
+1. Clone the CodeFlare SDK
+``` bash
+git clone https://github.com/project-codeflare/codeflare-sdk.git
+```
+2. [Install Sphinx](https://www.sphinx-doc.org/en/master/usage/installation.html)
+3. Run the below command to generate code documentation
+``` bash
+sphinx-apidoc -o docs/sphinx src/codeflare_sdk "**/*test_*" --force # Generates RST files
+make html -C docs/sphinx # Builds HTML files
+```
+4. You can access the docs locally at `docs/sphinx/_build/html/index.html`
diff --git a/docs/s3-compatible-storage.md b/docs/s3-compatible-storage.md
deleted file mode 100644
index 919ce815..00000000
--- a/docs/s3-compatible-storage.md
+++ /dev/null
@@ -1,61 +0,0 @@
-# S3 compatible storage with Ray Train examples
-Some of our distributed training examples require an external storage solution so that all nodes can access the same data. 
    
-The following are examples for configuring S3 or Minio storage for your Ray Train script or interactive session.
-
-## S3 Bucket
-In your Python Script add the following environment variables:
-``` python
-os.environ["AWS_ACCESS_KEY_ID"] = "XXXXXXXX"
-os.environ["AWS_SECRET_ACCESS_KEY"] = "XXXXXXXX"
-os.environ["AWS_DEFAULT_REGION"] = "XXXXXXXX"
-```
-Alternatively you can specify these variables in your runtime environment on Job Submission.
-``` python
-submission_id = client.submit_job(
-    entrypoint=...,
-    runtime_env={
-        "env_vars": {
-            "AWS_ACCESS_KEY_ID": os.environ.get('AWS_ACCESS_KEY_ID'),
-            "AWS_SECRET_ACCESS_KEY": os.environ.get('AWS_SECRET_ACCESS_KEY'),
-            "AWS_DEFAULT_REGION": os.environ.get('AWS_DEFAULT_REGION')
-        },
-    }
-)
-```
-In your Trainer configuration you can specify a `run_config` which will utilise your external storage.
-``` python
-trainer = TorchTrainer(
-    train_func_distributed,
-    scaling_config=scaling_config,
-    run_config = ray.train.RunConfig(storage_path="s3://BUCKET_NAME/SUB_PATH/", name="unique_run_name")
-)
-```
-To learn more about Amazon S3 Storage you can find information [here](https://docs.aws.amazon.com/AmazonS3/latest/userguide/creating-bucket.html).
-
-## Minio Bucket
-In your Python Script add the following function for configuring your run_config:
-``` python
-import s3fs
-import pyarrow
-
-def get_minio_run_config():
-   s3_fs = s3fs.S3FileSystem(
-       key = os.getenv('MINIO_ACCESS_KEY', "XXXXX"),
-       secret = os.getenv('MINIO_SECRET_ACCESS_KEY', "XXXXX"),
-       endpoint_url = os.getenv('MINIO_URL', "XXXXX")
-   )
-   custom_fs = pyarrow.fs.PyFileSystem(pyarrow.fs.FSSpecHandler(s3_fs))
-   run_config = ray.train.RunConfig(storage_path='training', storage_filesystem=custom_fs)
-   return run_config
-```
-You can update the `run_config` to further suit your needs above.
-Lastly the new `run_config` must be added to the Trainer:
-``` python
-trainer = TorchTrainer(
-    train_func_distributed,
-    scaling_config=scaling_config,
-    run_config = get_minio_run_config()
-)
-```
-To find more information on creating a Minio Bucket compatible with RHOAI you can refer to this [documentation](https://ai-on-openshift.io/tools-and-applications/minio/minio/).
    
-Note: You must have `sf3s` and `pyarrow` installed in your environment for this method.
diff --git a/docs/setup-kueue.md b/docs/setup-kueue.md
deleted file mode 100644
index c8fffa10..00000000
--- a/docs/setup-kueue.md
+++ /dev/null
@@ -1,66 +0,0 @@
-# Basic Kueue Resources configuration
-
-## Introduction:
-
-This document is designed for administrators who have Kueue installed on their cluster. We will walk through the process of setting up essential Kueue resources, namely Cluster Queue, Resource Flavor, and Local Queue.
-
-## 1. Resource Flavor:
-Resource Flavors allow the cluster admin to define different types of resources with specific characteristics, such as CPU, memory, GPU, etc. These can then be assigned to workloads to ensure they are executed on appropriate resources.
-
-The YAML configuration provided below creates an empty Resource Flavor named default-flavor. It serves as a starting point and does not specify any detailed resource characteristics.
-```yaml
-apiVersion: kueue.x-k8s.io/v1beta1
-kind: ResourceFlavor
-metadata:
-  name: default-flavor
-```
-For more detailed information on Resource Flavor configuration options, refer to the Kueue documentation: [Resource Flavor Configuration](https://kueue.sigs.k8s.io/docs/concepts/resource_flavor/)
-
-## 2. Cluster Queue:
-A Cluster Queue represents a shared queue across the entire cluster. It allows the cluster admin to define global settings for workload prioritization and resource allocation.
-
-When setting up a Cluster Queue in Kueue, it's crucial that the resource specifications match the actual capacities and operational requirements of your cluster. The example provided outlines a basic setup; however, each cluster may have different resource availabilities and needs.
-```yaml
-apiVersion: kueue.x-k8s.io/v1beta1
-kind: ClusterQueue
-metadata:
-  name: "cluster-queue"
-spec:
-  namespaceSelector: {} # match all.
-  resourceGroups:
-  - coveredResources: ["cpu", "memory", "pods", "nvidia.com/gpu"]
-    flavors:
-    - name: "default-flavor"
-      resources:
-      - name: "cpu"
-        nominalQuota: 9
-      - name: "memory"
-        nominalQuota: 36Gi
-      - name: "pods"
-        nominalQuota: 5
-      - name: "nvidia.com/gpu"
-        nominalQuota: '0'
-```
-
-For more detailed information on Cluster Queue configuration options, refer to the Kueue documentation: [Cluster Queue Configuration](https://kueue.sigs.k8s.io/docs/concepts/cluster_queue/)
-
-## 3. Local Queue (With Default Annotation):
-A Local Queue represents a queue associated with a specific namespace within the cluster. It allows namespace-level control over workload prioritization and resource allocation.
-```yaml
-apiVersion: kueue.x-k8s.io/v1beta1
-kind: LocalQueue
-metadata:
-  namespace: team-a
-  name: team-a-queue
-  annotations:
-    kueue.x-k8s.io/default-queue: "true"
-spec:
-  clusterQueue: cluster-queue
-```
-
-In the LocalQueue configuration provided above, the annotations field specifies `kueue.x-k8s.io/default-queue: "true"`. This annotation indicates that the team-a-queue is designated as the default queue for the team-a namespace. When this is set, any workloads submitted to the team-a namespace without explicitly specifying a queue will automatically be routed to the team-a-queue.
-
-For more detailed information on Local Queue configuration options, refer to the Kueue documentation: [Local Queue Configuration](https://kueue.sigs.k8s.io/docs/concepts/local_queue/)
-
-## Conclusion:
-By following the steps outlined in this document, the cluster admin can successfully create the basic Kueue resources necessary for workload management in the cluster. For more advanced configurations and features, please refer to the comprehensive [Kueue documentation](https://kueue.sigs.k8s.io/docs/concepts/).
diff --git a/docs/sphinx/Makefile b/docs/sphinx/Makefile
new file mode 100644
index 00000000..d4bb2cbb
--- /dev/null
+++ b/docs/sphinx/Makefile
@@ -0,0 +1,20 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS    ?=
+SPHINXBUILD   ?= sphinx-build
+SOURCEDIR     = .
+BUILDDIR      = _build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
diff --git a/docs/sphinx/conf.py b/docs/sphinx/conf.py
new file mode 100644
index 00000000..75f6f16f
--- /dev/null
+++ b/docs/sphinx/conf.py
@@ -0,0 +1,38 @@
+# Configuration file for the Sphinx documentation builder.
+#
+# For the full list of built-in configuration values, see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+import os
+import sys
+
+sys.path.insert(0, os.path.abspath(".."))
+
+# -- Project information -----------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
+
+project = "CodeFlare SDK"
+copyright = "2024, Project CodeFlare"
+author = "Project CodeFlare"
+release = "v0.21.1"
+
+# -- General configuration ---------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
+
+extensions = [
+    "sphinx.ext.autodoc",
+    "sphinx.ext.todo",
+    "sphinx.ext.viewcode",
+    "sphinx.ext.autosummary",
+    "sphinx_rtd_theme",
+]
+
+templates_path = ["_templates"]
+exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
+
+
+# -- Options for HTML output -------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
+
+html_theme = "sphinx_rtd_theme"
+html_static_path = ["_static"]
diff --git a/docs/sphinx/index.rst b/docs/sphinx/index.rst
new file mode 100644
index 00000000..fdf4c15b
--- /dev/null
+++ b/docs/sphinx/index.rst
@@ -0,0 +1,32 @@
+.. CodeFlare SDK documentation master file, created by
+   sphinx-quickstart on Thu Oct 10 11:27:58 2024.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+CodeFlare SDK documentation
+===========================
+
+The CodeFlare SDK is an intuitive, easy-to-use python interface for batch resource requesting, access, job submission, and observation. Simplifying the developer's life while enabling access to high-performance compute resources, either in the cloud or on-prem.
+
+
+.. toctree::
+   :maxdepth: 2
+   :caption: Code Documentation:
+
+   modules
+
+.. toctree::
+   :maxdepth: 2
+   :caption: User Documentation:
+
+   user-docs/authentication
+   user-docs/cluster-configuration
+   user-docs/e2e
+   user-docs/s3-compatible-storage
+   user-docs/setup-kueue
+
+Quick Links
+===========
+- `PyPi `__
+- `GitHub `__
+- `OpenShift AI Documentation `__
diff --git a/docs/sphinx/make.bat b/docs/sphinx/make.bat
new file mode 100644
index 00000000..32bb2452
--- /dev/null
+++ b/docs/sphinx/make.bat
@@ -0,0 +1,35 @@
+@ECHO OFF
+
+pushd %~dp0
+
+REM Command file for Sphinx documentation
+
+if "%SPHINXBUILD%" == "" (
+	set SPHINXBUILD=sphinx-build
+)
+set SOURCEDIR=.
+set BUILDDIR=_build
+
+%SPHINXBUILD% >NUL 2>NUL
+if errorlevel 9009 (
+	echo.
+	echo.The 'sphinx-build' command was not found. Make sure you have Sphinx
+	echo.installed, then set the SPHINXBUILD environment variable to point
+	echo.to the full path of the 'sphinx-build' executable. Alternatively you
+	echo.may add the Sphinx directory to PATH.
+	echo.
+	echo.If you don't have Sphinx installed, grab it from
+	echo.https://www.sphinx-doc.org/
+	exit /b 1
+)
+
+if "%1" == "" goto help
+
+%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+goto end
+
+:help
+%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
+
+:end
+popd
diff --git a/docs/sphinx/user-docs/authentication.rst b/docs/sphinx/user-docs/authentication.rst
new file mode 100644
index 00000000..d07063d9
--- /dev/null
+++ b/docs/sphinx/user-docs/authentication.rst
@@ -0,0 +1,66 @@
+Authentication via the CodeFlare SDK
+====================================
+
+Currently there are four ways of authenticating to your cluster via the
+SDK. Authenticating with your cluster allows you to perform actions such
+as creating Ray Clusters and Job Submission.
+
+Method 1 Token Authentication
+-----------------------------
+
+This is how a typical user would authenticate to their cluster using
+``TokenAuthentication``.
+
+::
+
+   from codeflare_sdk import TokenAuthentication
+
+   auth = TokenAuthentication(
+       token = "XXXXX",
+       server = "XXXXX",
+       skip_tls=False,
+       # ca_cert_path="/path/to/cert"
+   )
+   auth.login()
+   # log out with auth.logout()
+
+Setting ``skip_tls=True`` allows interaction with an HTTPS server
+bypassing the server certificate checks although this is not secure. You
+can pass a custom certificate to ``TokenAuthentication`` by using
+``ca_cert_path="/path/to/cert"`` when authenticating provided
+``skip_tls=False``. Alternatively you can set the environment variable
+``CF_SDK_CA_CERT_PATH`` to the path of your custom certificate.
+
+Method 2 Kubernetes Config File Authentication (Default location)
+-----------------------------------------------------------------
+
+If a user has authenticated to their cluster by alternate means e.g. run
+a login command like ``oc login --token= --server=``
+their kubernetes config file should have updated. If the user has not
+specifically authenticated through the SDK by other means such as
+``TokenAuthentication`` then the SDK will try to use their default
+Kubernetes config file located at ``"/HOME/.kube/config"``.
+
+Method 3 Specifying a Kubernetes Config File
+--------------------------------------------
+
+A user can specify a config file via a different authentication class
+``KubeConfigFileAuthentication`` for authenticating with the SDK. This
+is what loading a custom config file would typically look like.
+
+::
+
+   from codeflare_sdk import KubeConfigFileAuthentication
+
+   auth = KubeConfigFileAuthentication(
+       kube_config_path="/path/to/config",
+   )
+   auth.load_kube_config()
+   # log out with auth.logout()
+
+Method 4 In-Cluster Authentication
+----------------------------------
+
+If a user does not authenticate by any of the means detailed above and
+does not have a config file at ``"/HOME/.kube/config"`` the SDK will try
+to authenticate with the in-cluster configuration file.
diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
new file mode 100644
index 00000000..1fe28c64
--- /dev/null
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -0,0 +1,72 @@
+Ray Cluster Configuration
+=========================
+
+To create Ray Clusters using the CodeFlare SDK a cluster configuration
+needs to be created first. This is what a typical cluster configuration
+would look like; Note: The values for CPU and Memory are at the minimum
+requirements for creating the Ray Cluster.
+
+.. code:: python
+
+   from codeflare_sdk import Cluster, ClusterConfiguration
+
+   cluster = Cluster(ClusterConfiguration(
+       name='ray-example', # Mandatory Field
+       namespace='default', # Default None
+       head_cpu_requests=1, # Default 2
+       head_cpu_limits=1, # Default 2
+       head_memory_requests=1, # Default 8
+       head_memory_limits=1, # Default 8
+       head_extended_resource_requests={'nvidia.com/gpu':0}, # Default 0
+       worker_extended_resource_requests={'nvidia.com/gpu':0}, # Default 0
+       num_workers=1, # Default 1
+       worker_cpu_requests=1, # Default 1
+       worker_cpu_limits=1, # Default 1
+       worker_memory_requests=2, # Default 2
+       worker_memory_limits=2, # Default 2
+       # image="", # Optional Field
+       machine_types=["m5.xlarge", "g4dn.xlarge"],
+       labels={"exampleLabel": "example", "secondLabel": "example"},
+   ))
+
+Note: ‘quay.io/modh/ray:2.35.0-py39-cu121’ is the default image used by
+the CodeFlare SDK for creating a RayCluster resource. If you have your
+own Ray image which suits your purposes, specify it in image field to
+override the default image. If you are using ROCm compatible GPUs you
+can use ‘quay.io/modh/ray:2.35.0-py39-rocm61’. You can also find
+documentation on building a custom image
+`here `__.
+
+The ``labels={"exampleLabel": "example"}`` parameter can be used to
+apply additional labels to the RayCluster resource.
+
+After creating their ``cluster``, a user can call ``cluster.up()`` and
+``cluster.down()`` to respectively create or remove the Ray Cluster.
+
+Deprecating Parameters
+----------------------
+
+The following parameters of the ``ClusterConfiguration`` are being deprecated.
+
+.. list-table::
+   :header-rows: 1
+   :widths: auto
+
+   * - Deprecated Parameter
+     - Replaced By
+   * - ``head_cpus``
+     - ``head_cpu_requests``, ``head_cpu_limits``
+   * - ``head_memory``
+     - ``head_memory_requests``, ``head_memory_limits``
+   * - ``min_cpus``
+     - ``worker_cpu_requests``
+   * - ``max_cpus``
+     - ``worker_cpu_limits``
+   * - ``min_memory``
+     - ``worker_memory_requests``
+   * - ``max_memory``
+     - ``worker_memory_limits``
+   * - ``head_gpus``
+     - ``head_extended_resource_requests``
+   * - ``num_gpus``
+     - ``worker_extended_resource_requests``
diff --git a/docs/sphinx/user-docs/e2e.rst b/docs/sphinx/user-docs/e2e.rst
new file mode 100644
index 00000000..e64032e2
--- /dev/null
+++ b/docs/sphinx/user-docs/e2e.rst
@@ -0,0 +1,210 @@
+Running e2e tests locally
+=========================
+
+Pre-requisites
+^^^^^^^^^^^^^^
+
+-  We recommend using Python 3.9, along with Poetry.
+
+On KinD clusters
+----------------
+
+Pre-requisite for KinD clusters: please add in your local ``/etc/hosts``
+file ``127.0.0.1 kind``. This will map your localhost IP address to the
+KinD cluster’s hostname. This is already performed on `GitHub
+Actions `__
+
+If the system you run on contains NVidia GPU then you can enable the GPU
+support in KinD, this will allow you to run also GPU tests. To enable
+GPU on KinD follow `these
+instructions `__.
+
+-  Setup Phase:
+
+   -  Pull the `codeflare-operator
+      repo `__
+      and run the following make targets:
+
+   ::
+
+      make kind-e2e
+      export CLUSTER_HOSTNAME=kind
+      make setup-e2e
+      make deploy -e IMG=quay.io/project-codeflare/codeflare-operator:v1.3.0
+
+      For running tests locally on Kind cluster, we need to disable `rayDashboardOAuthEnabled` in `codeflare-operator-config` ConfigMap and then restart CodeFlare Operator
+
+   -  **(Optional)** - Create and add ``sdk-user`` with limited
+      permissions to the cluster to run through the e2e tests:
+
+   ::
+
+        # Get KinD certificates
+        docker cp kind-control-plane:/etc/kubernetes/pki/ca.crt .
+        docker cp kind-control-plane:/etc/kubernetes/pki/ca.key .
+
+        # Generate certificates for new user
+        openssl genrsa -out user.key 2048
+        openssl req -new -key user.key -out user.csr -subj '/CN=sdk-user/O=tenant'
+        openssl x509 -req -in user.csr -CA ca.crt -CAkey ca.key -CAcreateserial -out user.crt -days 360
+
+        # Add generated certificated to KinD context
+        user_crt=$(base64 --wrap=0 user.crt)
+        user_key=$(base64 --wrap=0 user.key)
+        yq eval -i ".contexts += {\"context\": {\"cluster\": \"kind-kind\", \"user\": \"sdk-user\"}, \"name\": \"sdk-user\"}" $HOME/.kube/config
+        yq eval -i ".users += {\"name\": \"sdk-user\", \"user\": {\"client-certificate-data\": \"$user_crt\", \"client-key-data\": \"$user_key\"}}" $HOME/.kube/config
+        cat $HOME/.kube/config
+
+        # Cleanup
+        rm ca.crt
+        rm ca.srl
+        rm ca.key
+        rm user.crt
+        rm user.key
+        rm user.csr
+
+        # Add RBAC permissions to sdk-user
+        kubectl create clusterrole list-ingresses --verb=get,list --resource=ingresses
+        kubectl create clusterrolebinding sdk-user-list-ingresses --clusterrole=list-ingresses --user=sdk-user
+        kubectl create clusterrole appwrapper-creator --verb=get,list,create,delete,patch --resource=appwrappers
+        kubectl create clusterrolebinding sdk-user-appwrapper-creator --clusterrole=appwrapper-creator --user=sdk-user
+        kubectl create clusterrole namespace-creator --verb=get,list,create,delete,patch --resource=namespaces
+        kubectl create clusterrolebinding sdk-user-namespace-creator --clusterrole=namespace-creator --user=sdk-user
+        kubectl create clusterrole list-rayclusters --verb=get,list --resource=rayclusters
+        kubectl create clusterrolebinding sdk-user-list-rayclusters --clusterrole=list-rayclusters --user=sdk-user
+        kubectl config use-context sdk-user
+
+   -  Install the latest development version of kueue
+
+   ::
+
+      kubectl apply --server-side -k "github.com/opendatahub-io/kueue/config/rhoai?ref=dev"
+
+-  Test Phase:
+
+   -  Once we have the codeflare-operator, kuberay-operator and kueue
+      running and ready, we can run the e2e test on the codeflare-sdk
+      repository:
+
+   ::
+
+      poetry install --with test,docs
+      poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_kind_test.py
+
+   -  If the cluster doesn’t have NVidia GPU support then we need to
+      disable NVidia GPU tests by providing proper marker:
+
+   ::
+
+      poetry install --with test,docs
+      poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_kind_test.py -m 'kind and not nvidia_gpu'
+
+On OpenShift clusters
+---------------------
+
+-  Setup Phase:
+
+   -  Pull the `codeflare-operator
+      repo `__
+      and run the following make targets:
+
+   ::
+
+
+      make setup-e2e
+      make deploy -e IMG=quay.io/project-codeflare/codeflare-operator:v1.3.0
+
+   -  Install the latest development version of kueue
+
+   ::
+
+      kubectl apply --server-side -k "github.com/opendatahub-io/kueue/config/rhoai?ref=dev"
+
+If the system you run on contains NVidia GPU then you can enable the GPU
+support on OpenShift, this will allow you to run also GPU tests. To
+enable GPU on OpenShift follow `these
+instructions `__.
+Currently the SDK doesn’t support tolerations, so e2e tests can’t be
+executed on nodes with taint (i.e. GPU taint).
+
+-  Test Phase:
+
+   -  Once we have the codeflare-operator, kuberay-operator and kueue
+      running and ready, we can run the e2e test on the codeflare-sdk
+      repository:
+
+   ::
+
+      poetry install --with test,docs
+      poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_test.py
+
+   -  To run the multiple tests based on the cluster environment, we can
+      run the e2e tests by marking -m with cluster environment (kind or
+      openshift)
+
+   ::
+
+      poetry run pytest -v -s ./tests/e2e -m openshift
+
+   -  By default tests configured with timeout of ``15 minutes``. If
+      necessary, we can override the timeout using ``--timeout`` option
+
+   ::
+
+      poetry run pytest -v -s ./tests/e2e -m openshift --timeout=1200
+
+On OpenShift Disconnected clusters
+----------------------------------
+
+-  In addition to setup phase mentioned above in case of Openshift
+   cluster, Disconnected environment requires following pre-requisites :
+
+   -  Mirror Image registry :
+
+      -  Image mirror registry is used to host set of container images
+         required locally for the applications and services. This
+         ensures to pull images without needing an external network
+         connection. It also ensures continuous operation and deployment
+         capabilities in a network-isolated environment.
+
+   -  PYPI Mirror Index :
+
+      -  When trying to install Python packages in a disconnected
+         environment, the pip command might fail because the connection
+         cannot install packages from external URLs. This issue can be
+         resolved by setting up PIP Mirror Index on separate endpoint in
+         same environment.
+
+   -  S3 compatible storage :
+
+      -  Some of our distributed training examples require an external
+         storage solution so that all nodes can access the same data in
+         disconnected environment (For example: common-datasets and
+         model files).
+
+      -  Minio S3 compatible storage type instance can be deployed in
+         disconnected environment using
+         ``/tests/e2e/minio_deployment.yaml`` or using support methods
+         in e2e test suite.
+
+      -  The following are environment variables for configuring PIP
+         index URl for accessing the common-python packages required and
+         the S3 or Minio storage for your Ray Train script or
+         interactive session.
+
+         ::
+
+            export RAY_IMAGE=quay.io/project-codeflare/ray@sha256: (prefer image digest over image tag in disocnnected environment)
+            PIP_INDEX_URL=https:///root/pypi/+simple/ \
+            PIP_TRUSTED_HOST= \
+            AWS_DEFAULT_ENDPOINT= \
+            AWS_ACCESS_KEY_ID=  \
+            AWS_SECRET_ACCESS_KEY=  \
+            AWS_STORAGE_BUCKET=
+            AWS_STORAGE_BUCKET_MNIST_DIR=
+
+         Note : When using the Python Minio client to connect to a minio
+         storage bucket, the ``AWS_DEFAULT_ENDPOINT`` environment
+         variable by default expects secure endpoint where user can use
+         endpoint url with https/http prefix for autodetection of
+         secure/insecure endpoint.
diff --git a/docs/sphinx/user-docs/s3-compatible-storage.rst b/docs/sphinx/user-docs/s3-compatible-storage.rst
new file mode 100644
index 00000000..60937441
--- /dev/null
+++ b/docs/sphinx/user-docs/s3-compatible-storage.rst
@@ -0,0 +1,86 @@
+S3 compatible storage with Ray Train examples
+=============================================
+
+Some of our distributed training examples require an external storage
+solution so that all nodes can access the same data. The following are
+examples for configuring S3 or Minio storage for your Ray Train script
+or interactive session.
+
+S3 Bucket
+---------
+
+In your Python Script add the following environment variables:
+
+.. code:: python
+
+   os.environ["AWS_ACCESS_KEY_ID"] = "XXXXXXXX"
+   os.environ["AWS_SECRET_ACCESS_KEY"] = "XXXXXXXX"
+   os.environ["AWS_DEFAULT_REGION"] = "XXXXXXXX"
+
+Alternatively you can specify these variables in your runtime
+environment on Job Submission.
+
+.. code:: python
+
+   submission_id = client.submit_job(
+       entrypoint=...,
+       runtime_env={
+           "env_vars": {
+               "AWS_ACCESS_KEY_ID": os.environ.get('AWS_ACCESS_KEY_ID'),
+               "AWS_SECRET_ACCESS_KEY": os.environ.get('AWS_SECRET_ACCESS_KEY'),
+               "AWS_DEFAULT_REGION": os.environ.get('AWS_DEFAULT_REGION')
+           },
+       }
+   )
+
+In your Trainer configuration you can specify a ``run_config`` which
+will utilise your external storage.
+
+.. code:: python
+
+   trainer = TorchTrainer(
+       train_func_distributed,
+       scaling_config=scaling_config,
+       run_config = ray.train.RunConfig(storage_path="s3://BUCKET_NAME/SUB_PATH/", name="unique_run_name")
+   )
+
+To learn more about Amazon S3 Storage you can find information
+`here `__.
+
+Minio Bucket
+------------
+
+In your Python Script add the following function for configuring your
+run_config:
+
+.. code:: python
+
+   import s3fs
+   import pyarrow
+
+   def get_minio_run_config():
+      s3_fs = s3fs.S3FileSystem(
+          key = os.getenv('MINIO_ACCESS_KEY', "XXXXX"),
+          secret = os.getenv('MINIO_SECRET_ACCESS_KEY', "XXXXX"),
+          endpoint_url = os.getenv('MINIO_URL', "XXXXX")
+      )
+      custom_fs = pyarrow.fs.PyFileSystem(pyarrow.fs.FSSpecHandler(s3_fs))
+      run_config = ray.train.RunConfig(storage_path='training', storage_filesystem=custom_fs)
+      return run_config
+
+You can update the ``run_config`` to further suit your needs above.
+Lastly the new ``run_config`` must be added to the Trainer:
+
+.. code:: python
+
+   trainer = TorchTrainer(
+       train_func_distributed,
+       scaling_config=scaling_config,
+       run_config = get_minio_run_config()
+   )
+
+To find more information on creating a Minio Bucket compatible with
+RHOAI you can refer to this
+`documentation `__.
+Note: You must have ``sf3s`` and ``pyarrow`` installed in your
+environment for this method.
diff --git a/docs/sphinx/user-docs/setup-kueue.rst b/docs/sphinx/user-docs/setup-kueue.rst
new file mode 100644
index 00000000..86956e01
--- /dev/null
+++ b/docs/sphinx/user-docs/setup-kueue.rst
@@ -0,0 +1,109 @@
+Basic Kueue Resources configuration
+===================================
+
+Introduction:
+-------------
+
+This document is designed for administrators who have Kueue installed on
+their cluster. We will walk through the process of setting up essential
+Kueue resources, namely Cluster Queue, Resource Flavor, and Local Queue.
+
+1. Resource Flavor:
+-------------------
+
+Resource Flavors allow the cluster admin to define different types of
+resources with specific characteristics, such as CPU, memory, GPU, etc.
+These can then be assigned to workloads to ensure they are executed on
+appropriate resources.
+
+The YAML configuration provided below creates an empty Resource Flavor
+named default-flavor. It serves as a starting point and does not specify
+any detailed resource characteristics.
+
+.. code:: yaml
+
+   apiVersion: kueue.x-k8s.io/v1beta1
+   kind: ResourceFlavor
+   metadata:
+     name: default-flavor
+
+For more detailed information on Resource Flavor configuration options,
+refer to the Kueue documentation: `Resource Flavor
+Configuration `__
+
+2. Cluster Queue:
+-----------------
+
+A Cluster Queue represents a shared queue across the entire cluster. It
+allows the cluster admin to define global settings for workload
+prioritization and resource allocation.
+
+When setting up a Cluster Queue in Kueue, it’s crucial that the resource
+specifications match the actual capacities and operational requirements
+of your cluster. The example provided outlines a basic setup; however,
+each cluster may have different resource availabilities and needs.
+
+.. code:: yaml
+
+   apiVersion: kueue.x-k8s.io/v1beta1
+   kind: ClusterQueue
+   metadata:
+     name: "cluster-queue"
+   spec:
+     namespaceSelector: {} # match all.
+     resourceGroups:
+     - coveredResources: ["cpu", "memory", "pods", "nvidia.com/gpu"]
+       flavors:
+       - name: "default-flavor"
+         resources:
+         - name: "cpu"
+           nominalQuota: 9
+         - name: "memory"
+           nominalQuota: 36Gi
+         - name: "pods"
+           nominalQuota: 5
+         - name: "nvidia.com/gpu"
+           nominalQuota: '0'
+
+For more detailed information on Cluster Queue configuration options,
+refer to the Kueue documentation: `Cluster Queue
+Configuration `__
+
+3. Local Queue (With Default Annotation):
+-----------------------------------------
+
+A Local Queue represents a queue associated with a specific namespace
+within the cluster. It allows namespace-level control over workload
+prioritization and resource allocation.
+
+.. code:: yaml
+
+   apiVersion: kueue.x-k8s.io/v1beta1
+   kind: LocalQueue
+   metadata:
+     namespace: team-a
+     name: team-a-queue
+     annotations:
+       kueue.x-k8s.io/default-queue: "true"
+   spec:
+     clusterQueue: cluster-queue
+
+In the LocalQueue configuration provided above, the annotations field
+specifies ``kueue.x-k8s.io/default-queue: "true"``. This annotation
+indicates that the team-a-queue is designated as the default queue for
+the team-a namespace. When this is set, any workloads submitted to the
+team-a namespace without explicitly specifying a queue will
+automatically be routed to the team-a-queue.
+
+For more detailed information on Local Queue configuration options,
+refer to the Kueue documentation: `Local Queue
+Configuration `__
+
+Conclusion:
+-----------
+
+By following the steps outlined in this document, the cluster admin can
+successfully create the basic Kueue resources necessary for workload
+management in the cluster. For more advanced configurations and
+features, please refer to the comprehensive `Kueue
+documentation `__.
diff --git a/poetry.lock b/poetry.lock
index 3b65c16b..5c4ce93f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -151,6 +151,17 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "alabaster"
+version = "0.7.16"
+description = "A light, configurable Sphinx theme"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"},
+    {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
+]
+
 [[package]]
 name = "anyio"
 version = "4.6.0"
@@ -862,6 +873,17 @@ files = [
     {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
 ]
 
+[[package]]
+name = "docutils"
+version = "0.20.1"
+description = "Docutils -- Python Documentation Utilities"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "docutils-0.20.1-py3-none-any.whl", hash = "sha256:96f387a2c5562db4476f09f13bbab2192e764cac08ebbf3a34a95d9b1e4a59d6"},
+    {file = "docutils-0.20.1.tar.gz", hash = "sha256:f08a4e276c3a1583a86dce3e34aba3fe04d02bba2dd51ed16106244e8a923e3b"},
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
@@ -1257,6 +1279,17 @@ files = [
 [package.extras]
 all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff (>=0.6.2)"]
 
+[[package]]
+name = "imagesize"
+version = "1.4.1"
+description = "Getting image size from png/jpeg/jpeg2000/gif file"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"},
+    {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"},
+]
+
 [[package]]
 name = "importlib-metadata"
 version = "8.5.0"
@@ -1744,43 +1777,6 @@ websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
 [package.extras]
 adal = ["adal (>=1.0.2)"]
 
-[[package]]
-name = "mako"
-version = "1.3.5"
-description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"},
-    {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"},
-]
-
-[package.dependencies]
-MarkupSafe = ">=0.9.2"
-
-[package.extras]
-babel = ["Babel"]
-lingua = ["lingua"]
-testing = ["pytest"]
-
-[[package]]
-name = "markdown"
-version = "3.7"
-description = "Python implementation of John Gruber's Markdown."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "Markdown-3.7-py3-none-any.whl", hash = "sha256:7eb6df5690b81a1d7942992c97fad2938e956e79df20cbc6186e9c3a77b1c803"},
-    {file = "markdown-3.7.tar.gz", hash = "sha256:2ae2471477cfd02dbbf038d5d9bc226d40def84b4fe2986e49b59b6b472bbed2"},
-]
-
-[package.dependencies]
-importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
-
-[package.extras]
-docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"]
-testing = ["coverage", "pyyaml"]
-
 [[package]]
 name = "markupsafe"
 version = "2.1.5"
@@ -2484,21 +2480,6 @@ files = [
 qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
 testing = ["docopt", "pytest"]
 
-[[package]]
-name = "pdoc3"
-version = "0.10.0"
-description = "Auto-generate API documentation for Python projects."
-optional = false
-python-versions = ">= 3.6"
-files = [
-    {file = "pdoc3-0.10.0-py3-none-any.whl", hash = "sha256:ba45d1ada1bd987427d2bf5cdec30b2631a3ff5fb01f6d0e77648a572ce6028b"},
-    {file = "pdoc3-0.10.0.tar.gz", hash = "sha256:5f22e7bcb969006738e1aa4219c75a32f34c2d62d46dc9d2fb2d3e0b0287e4b7"},
-]
-
-[package.dependencies]
-mako = "*"
-markdown = ">=3.0"
-
 [[package]]
 name = "pexpect"
 version = "4.9.0"
@@ -3556,6 +3537,17 @@ files = [
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
+[[package]]
+name = "snowballstemmer"
+version = "2.2.0"
+description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
+optional = false
+python-versions = "*"
+files = [
+    {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
+    {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
+]
+
 [[package]]
 name = "soupsieve"
 version = "2.6"
@@ -3567,6 +3559,169 @@ files = [
     {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
 ]
 
+[[package]]
+name = "sphinx"
+version = "7.4.7"
+description = "Python documentation generator"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "sphinx-7.4.7-py3-none-any.whl", hash = "sha256:c2419e2135d11f1951cd994d6eb18a1835bd8fdd8429f9ca375dc1f3281bd239"},
+    {file = "sphinx-7.4.7.tar.gz", hash = "sha256:242f92a7ea7e6c5b406fdc2615413890ba9f699114a9c09192d7dfead2ee9cfe"},
+]
+
+[package.dependencies]
+alabaster = ">=0.7.14,<0.8.0"
+babel = ">=2.13"
+colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\""}
+docutils = ">=0.20,<0.22"
+imagesize = ">=1.3"
+importlib-metadata = {version = ">=6.0", markers = "python_version < \"3.10\""}
+Jinja2 = ">=3.1"
+packaging = ">=23.0"
+Pygments = ">=2.17"
+requests = ">=2.30.0"
+snowballstemmer = ">=2.2"
+sphinxcontrib-applehelp = "*"
+sphinxcontrib-devhelp = "*"
+sphinxcontrib-htmlhelp = ">=2.0.0"
+sphinxcontrib-jsmath = "*"
+sphinxcontrib-qthelp = "*"
+sphinxcontrib-serializinghtml = ">=1.1.9"
+tomli = {version = ">=2", markers = "python_version < \"3.11\""}
+
+[package.extras]
+docs = ["sphinxcontrib-websupport"]
+lint = ["flake8 (>=6.0)", "importlib-metadata (>=6.0)", "mypy (==1.10.1)", "pytest (>=6.0)", "ruff (==0.5.2)", "sphinx-lint (>=0.9)", "tomli (>=2)", "types-docutils (==0.21.0.20240711)", "types-requests (>=2.30.0)"]
+test = ["cython (>=3.0)", "defusedxml (>=0.7.1)", "pytest (>=8.0)", "setuptools (>=70.0)", "typing_extensions (>=4.9)"]
+
+[[package]]
+name = "sphinx-rtd-theme"
+version = "2.0.0"
+description = "Read the Docs theme for Sphinx"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "sphinx_rtd_theme-2.0.0-py2.py3-none-any.whl", hash = "sha256:ec93d0856dc280cf3aee9a4c9807c60e027c7f7b461b77aeffed682e68f0e586"},
+    {file = "sphinx_rtd_theme-2.0.0.tar.gz", hash = "sha256:bd5d7b80622406762073a04ef8fadc5f9151261563d47027de09910ce03afe6b"},
+]
+
+[package.dependencies]
+docutils = "<0.21"
+sphinx = ">=5,<8"
+sphinxcontrib-jquery = ">=4,<5"
+
+[package.extras]
+dev = ["bump2version", "sphinxcontrib-httpdomain", "transifex-client", "wheel"]
+
+[[package]]
+name = "sphinxcontrib-applehelp"
+version = "2.0.0"
+description = "sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "sphinxcontrib_applehelp-2.0.0-py3-none-any.whl", hash = "sha256:4cd3f0ec4ac5dd9c17ec65e9ab272c9b867ea77425228e68ecf08d6b28ddbdb5"},
+    {file = "sphinxcontrib_applehelp-2.0.0.tar.gz", hash = "sha256:2f29ef331735ce958efa4734873f084941970894c6090408b079c61b2e1c06d1"},
+]
+
+[package.extras]
+lint = ["mypy", "ruff (==0.5.5)", "types-docutils"]
+standalone = ["Sphinx (>=5)"]
+test = ["pytest"]
+
+[[package]]
+name = "sphinxcontrib-devhelp"
+version = "2.0.0"
+description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp documents"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "sphinxcontrib_devhelp-2.0.0-py3-none-any.whl", hash = "sha256:aefb8b83854e4b0998877524d1029fd3e6879210422ee3780459e28a1f03a8a2"},
+    {file = "sphinxcontrib_devhelp-2.0.0.tar.gz", hash = "sha256:411f5d96d445d1d73bb5d52133377b4248ec79db5c793ce7dbe59e074b4dd1ad"},
+]
+
+[package.extras]
+lint = ["mypy", "ruff (==0.5.5)", "types-docutils"]
+standalone = ["Sphinx (>=5)"]
+test = ["pytest"]
+
+[[package]]
+name = "sphinxcontrib-htmlhelp"
+version = "2.1.0"
+description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "sphinxcontrib_htmlhelp-2.1.0-py3-none-any.whl", hash = "sha256:166759820b47002d22914d64a075ce08f4c46818e17cfc9470a9786b759b19f8"},
+    {file = "sphinxcontrib_htmlhelp-2.1.0.tar.gz", hash = "sha256:c9e2916ace8aad64cc13a0d233ee22317f2b9025b9cf3295249fa985cc7082e9"},
+]
+
+[package.extras]
+lint = ["mypy", "ruff (==0.5.5)", "types-docutils"]
+standalone = ["Sphinx (>=5)"]
+test = ["html5lib", "pytest"]
+
+[[package]]
+name = "sphinxcontrib-jquery"
+version = "4.1"
+description = "Extension to include jQuery on newer Sphinx releases"
+optional = false
+python-versions = ">=2.7"
+files = [
+    {file = "sphinxcontrib-jquery-4.1.tar.gz", hash = "sha256:1620739f04e36a2c779f1a131a2dfd49b2fd07351bf1968ced074365933abc7a"},
+    {file = "sphinxcontrib_jquery-4.1-py2.py3-none-any.whl", hash = "sha256:f936030d7d0147dd026a4f2b5a57343d233f1fc7b363f68b3d4f1cb0993878ae"},
+]
+
+[package.dependencies]
+Sphinx = ">=1.8"
+
+[[package]]
+name = "sphinxcontrib-jsmath"
+version = "1.0.1"
+description = "A sphinx extension which renders display math in HTML via JavaScript"
+optional = false
+python-versions = ">=3.5"
+files = [
+    {file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"},
+    {file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"},
+]
+
+[package.extras]
+test = ["flake8", "mypy", "pytest"]
+
+[[package]]
+name = "sphinxcontrib-qthelp"
+version = "2.0.0"
+description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp documents"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "sphinxcontrib_qthelp-2.0.0-py3-none-any.whl", hash = "sha256:b18a828cdba941ccd6ee8445dbe72ffa3ef8cbe7505d8cd1fa0d42d3f2d5f3eb"},
+    {file = "sphinxcontrib_qthelp-2.0.0.tar.gz", hash = "sha256:4fe7d0ac8fc171045be623aba3e2a8f613f8682731f9153bb2e40ece16b9bbab"},
+]
+
+[package.extras]
+lint = ["mypy", "ruff (==0.5.5)", "types-docutils"]
+standalone = ["Sphinx (>=5)"]
+test = ["defusedxml (>=0.7.1)", "pytest"]
+
+[[package]]
+name = "sphinxcontrib-serializinghtml"
+version = "2.0.0"
+description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "sphinxcontrib_serializinghtml-2.0.0-py3-none-any.whl", hash = "sha256:6e2cb0eef194e10c27ec0023bfeb25badbbb5868244cf5bc5bdc04e4464bf331"},
+    {file = "sphinxcontrib_serializinghtml-2.0.0.tar.gz", hash = "sha256:e9d912827f872c029017a53f0ef2180b327c3f7fd23c87229f7a8e8b70031d4d"},
+]
+
+[package.extras]
+lint = ["mypy", "ruff (==0.5.5)", "types-docutils"]
+standalone = ["Sphinx (>=5)"]
+test = ["pytest"]
+
 [[package]]
 name = "stack-data"
 version = "0.6.3"
@@ -4025,4 +4180,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "a54e3ebe29255d397651cea6d849ada39f03565a1a7bf13084092be3600a77f0"
+content-hash = "4463099e8d145fd823f523b134f18d48766038cc3d2ad466864e5a2debcc3479"
diff --git a/pyproject.toml b/pyproject.toml
index 37eb17a4..17b59880 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,7 +34,8 @@ ipywidgets = "8.1.2"
 optional = true
 
 [tool.poetry.group.docs.dependencies]
-pdoc3 = "0.10.0"
+sphinx = "7.4.7"
+sphinx-rtd-theme = "2.0.0"
 
 [tool.poetry.group.test]
 optional = true

From 878638257f7f50b92d8848140ca3941ea9883659 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Mon, 14 Oct 2024 14:30:36 +0100
Subject: [PATCH 135/254] ci: add publish documentation workflow update release
 workflow

---
 .github/workflows/publish-documentation.yaml | 45 ++++++++++++++++++++
 .github/workflows/release.yaml               | 29 ++-----------
 .gitignore                                   |  1 +
 3 files changed, 50 insertions(+), 25 deletions(-)
 create mode 100644 .github/workflows/publish-documentation.yaml

diff --git a/.github/workflows/publish-documentation.yaml b/.github/workflows/publish-documentation.yaml
new file mode 100644
index 00000000..80afe7d6
--- /dev/null
+++ b/.github/workflows/publish-documentation.yaml
@@ -0,0 +1,45 @@
+name: Publish Documentation
+
+on:
+  workflow_dispatch:
+    inputs:
+      codeflare_sdk_release_version:
+        type: string
+        required: true
+        description: 'Version number (for example: 0.1.0)'
+
+permissions:
+  contents: write
+
+jobs:
+  docs:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Install Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: 3.9
+      - name: Install Sphinx
+        run: |
+            sudo apt-get update
+            sudo apt-get install python3-sphinx
+      - name: Install Poetry
+        uses: abatilo/actions-poetry@v2
+        with:
+          poetry-version: 1.8.3
+      - name: Create new documentation
+        run: |
+          python3 -m venv .venv
+          source .venv/bin/activate
+          poetry install --with docs
+          sed -i 's/release = "v[0-9]\+\.[0-9]\+\.[0-9]\+"/release = "${{ github.event.inputs.codeflare_sdk_release_version }}"/' docs/sphinx/conf.py
+          sphinx-apidoc -o docs/sphinx src/codeflare_sdk "**/*test_*" --force # Generate docs but ignore test files
+          make html -C docs/sphinx
+      - name: Deploy to GitHub Pages
+        uses: peaceiris/actions-gh-pages@v3
+        with:
+          publish_branch: gh-pages
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          publish_dir: docs/sphinx/_build/html
+          force_orphan: true
diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 6e56a3f8..16b5aac4 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -33,8 +33,6 @@ jobs:
         permissions:
             contents: write
             id-token: write  # This permission is required for trusted publishing
-        env:
-            PR_BRANCH_NAME: adjustments-release-${{ github.event.inputs.release-version }}
         steps:
             - name: Checkout the repository
               uses: actions/checkout@v4
@@ -52,35 +50,16 @@ jobs:
               run: poetry install --with docs
             - name: Create new documentation
               run: |
-                sphinx-apidoc -o docs/sphinx src/codeflare_sdk "**/*test_*" --force
-                make clean -C docs/sphinx
-                make html -C docs/sphinx
+                gh workflow run publish-documentation.yaml \
+                  --repo ${{ github.event.inputs.codeflare-repository-organization }}/codeflare-sdk \
+                  --ref ${{ github.ref }} \
+                  --field codeflare_sdk_release_version=${{ github.event.inputs.release-version }}
             - name: Copy demo notebooks into SDK package
               run: cp -r demo-notebooks src/codeflare_sdk/demo-notebooks
             - name: Run poetry build
               run: poetry build
-            - name: Commit changes in docs
-              uses: stefanzweifel/git-auto-commit-action@v4
-              with:
-                file_pattern: 'docs'
-                commit_message: "Changes in docs for release: v${{ github.event.inputs.release-version }}"
-                create_branch: true
-                branch: ${{ env.PR_BRANCH_NAME }}
-            - name: Create a PR with code changes
-              run: |
-                  if git branch -a | grep "${{ env.PR_BRANCH_NAME }}"; then
-                    GIT_BRANCH=${GITHUB_REF#refs/heads/}
-                    gh pr create --base "$GIT_BRANCH" --fill --head "${{ env.PR_BRANCH_NAME }}" --label "lgtm" --label "approved"
-                  fi
               env:
                 GITHUB_TOKEN: ${{ secrets.CODEFLARE_MACHINE_ACCOUNT_TOKEN }}
-            - name: Wait until PR with code changes is merged
-              run: |
-                  if git branch -a | grep "${{ env.PR_BRANCH_NAME }}"; then
-                    timeout 3600 bash -c 'until [[ $(gh pr view '${{ env.PR_BRANCH_NAME }}' --json state --jq .state) == "MERGED" ]]; do sleep 5 && echo "$(gh pr view '${{ env.PR_BRANCH_NAME }}' --json state --jq .state)"; done'
-                  fi
-              env:
-                GITHUB_TOKEN: ${{ github.TOKEN }}
             - name: Create Github release
               uses: ncipollo/release-action@v1
               with:
diff --git a/.gitignore b/.gitignore
index 2940f885..9ac5d687 100644
--- a/.gitignore
+++ b/.gitignore
@@ -13,3 +13,4 @@ node_modules
 ui-tests/playwright-report
 ui-tests/test-results
 /src/codeflare_sdk.egg-info/
+docs/sphinx/_build

From 9288016496266c7b999ca8057ef8b5c32a0bd0ee Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Tue, 15 Oct 2024 10:44:30 +0100
Subject: [PATCH 136/254] docs: add new documentation and fix existing docs

---
 README.md                                     |   5 +-
 docs/sphinx/index.rst                         |   4 +-
 docs/sphinx/user-docs/authentication.rst      |   4 +-
 .../user-docs/cluster-configuration.rst       |  18 ++--
 docs/sphinx/user-docs/e2e.rst                 |  19 ++--
 docs/sphinx/user-docs/images/ui-buttons.png   | Bin 0 -> 22385 bytes
 .../user-docs/images/ui-view-clusters.png     | Bin 0 -> 28767 bytes
 .../user-docs/ray-cluster-interaction.rst     |  90 ++++++++++++++++++
 .../user-docs/s3-compatible-storage.rst       |   2 +-
 docs/sphinx/user-docs/setup-kueue.rst         |   7 +-
 docs/sphinx/user-docs/ui-widgets.rst          |  55 +++++++++++
 11 files changed, 176 insertions(+), 28 deletions(-)
 create mode 100644 docs/sphinx/user-docs/images/ui-buttons.png
 create mode 100644 docs/sphinx/user-docs/images/ui-view-clusters.png
 create mode 100644 docs/sphinx/user-docs/ray-cluster-interaction.rst
 create mode 100644 docs/sphinx/user-docs/ui-widgets.rst

diff --git a/README.md b/README.md
index e166b4f5..ffc22626 100644
--- a/README.md
+++ b/README.md
@@ -11,7 +11,7 @@ For guided demos and basics walkthroughs, check out the following links:
 - these demos can be copied into your current working directory when using the `codeflare-sdk` by using the `codeflare_sdk.copy_demo_nbs()` function
 - Additionally, we have a [video walkthrough](https://www.youtube.com/watch?v=U76iIfd9EmE) of these basic demos from June, 2023
 
-Full documentation can be found [here](https://project-codeflare.github.io/codeflare-sdk/detailed-documentation)
+Full documentation can be found [here](https://project-codeflare.github.io/codeflare-sdk/index.html)
 
 ## Installation
 
@@ -32,11 +32,10 @@ It is possible to use the Release Github workflow to do the release. This is gen
 The following instructions apply when doing release manually. This may be required in instances where the automation is failing.
 
 - Check and update the version in "pyproject.toml" file.
-- Generate new documentation.
-`pdoc --html -o docs src/codeflare_sdk && pushd docs && rm -rf cluster job utils && mv codeflare_sdk/* . && rm -rf codeflare_sdk && popd && find docs -type f -name "*.html" -exec bash -c "echo '' >> {}" \;` (it is possible to install **pdoc** using the following command `poetry install --with docs`)
 - Commit all the changes to the repository.
 - Create Github release ().
 - Build the Python package. `poetry build`
 - If not present already, add the API token to Poetry.
 `poetry config pypi-token.pypi API_TOKEN`
 - Publish the Python package. `poetry publish`
+- Trigger the [Publish Documentation](https://github.com/project-codeflare/codeflare-sdk/actions/workflows/publish-documentation.yaml) workflow
diff --git a/docs/sphinx/index.rst b/docs/sphinx/index.rst
index fdf4c15b..3c6fe876 100644
--- a/docs/sphinx/index.rst
+++ b/docs/sphinx/index.rst
@@ -16,14 +16,16 @@ The CodeFlare SDK is an intuitive, easy-to-use python interface for batch resour
    modules
 
 .. toctree::
-   :maxdepth: 2
+   :maxdepth: 1
    :caption: User Documentation:
 
    user-docs/authentication
    user-docs/cluster-configuration
+   user-docs/ray-cluster-interaction
    user-docs/e2e
    user-docs/s3-compatible-storage
    user-docs/setup-kueue
+   user-docs/ui-widgets
 
 Quick Links
 ===========
diff --git a/docs/sphinx/user-docs/authentication.rst b/docs/sphinx/user-docs/authentication.rst
index d07063d9..82441d56 100644
--- a/docs/sphinx/user-docs/authentication.rst
+++ b/docs/sphinx/user-docs/authentication.rst
@@ -39,7 +39,7 @@ a login command like ``oc login --token= --server=``
 their kubernetes config file should have updated. If the user has not
 specifically authenticated through the SDK by other means such as
 ``TokenAuthentication`` then the SDK will try to use their default
-Kubernetes config file located at ``"/HOME/.kube/config"``.
+Kubernetes config file located at ``"$HOME/.kube/config"``.
 
 Method 3 Specifying a Kubernetes Config File
 --------------------------------------------
@@ -62,5 +62,5 @@ Method 4 In-Cluster Authentication
 ----------------------------------
 
 If a user does not authenticate by any of the means detailed above and
-does not have a config file at ``"/HOME/.kube/config"`` the SDK will try
+does not have a config file at ``"$HOME/.kube/config"`` the SDK will try
 to authenticate with the in-cluster configuration file.
diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index 1fe28c64..6d27b0f4 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -29,13 +29,14 @@ requirements for creating the Ray Cluster.
        labels={"exampleLabel": "example", "secondLabel": "example"},
    ))
 
-Note: ‘quay.io/modh/ray:2.35.0-py39-cu121’ is the default image used by
-the CodeFlare SDK for creating a RayCluster resource. If you have your
-own Ray image which suits your purposes, specify it in image field to
-override the default image. If you are using ROCm compatible GPUs you
-can use ‘quay.io/modh/ray:2.35.0-py39-rocm61’. You can also find
-documentation on building a custom image
-`here `__.
+.. note::
+  `quay.io/modh/ray:2.35.0-py39-cu121` is the default image used by
+  the CodeFlare SDK for creating a RayCluster resource. If you have your
+  own Ray image which suits your purposes, specify it in image field to
+  override the default image. If you are using ROCm compatible GPUs you
+  can use `quay.io/modh/ray:2.35.0-py39-rocm61`. You can also find
+  documentation on building a custom image
+  `here `__.
 
 The ``labels={"exampleLabel": "example"}`` parameter can be used to
 apply additional labels to the RayCluster resource.
@@ -46,7 +47,8 @@ After creating their ``cluster``, a user can call ``cluster.up()`` and
 Deprecating Parameters
 ----------------------
 
-The following parameters of the ``ClusterConfiguration`` are being deprecated.
+The following parameters of the ``ClusterConfiguration`` are being
+deprecated.
 
 .. list-table::
    :header-rows: 1
diff --git a/docs/sphinx/user-docs/e2e.rst b/docs/sphinx/user-docs/e2e.rst
index e64032e2..846536f1 100644
--- a/docs/sphinx/user-docs/e2e.rst
+++ b/docs/sphinx/user-docs/e2e.rst
@@ -11,7 +11,7 @@ On KinD clusters
 
 Pre-requisite for KinD clusters: please add in your local ``/etc/hosts``
 file ``127.0.0.1 kind``. This will map your localhost IP address to the
-KinD cluster’s hostname. This is already performed on `GitHub
+KinD cluster's hostname. This is already performed on `GitHub
 Actions `__
 
 If the system you run on contains NVidia GPU then you can enable the GPU
@@ -91,7 +91,7 @@ instructions `__.
       poetry install --with test,docs
       poetry run pytest -v -s ./tests/e2e/mnist_raycluster_sdk_kind_test.py
 
-   -  If the cluster doesn’t have NVidia GPU support then we need to
+   -  If the cluster doesn't have NVidia GPU support then we need to
       disable NVidia GPU tests by providing proper marker:
 
    ::
@@ -124,8 +124,8 @@ If the system you run on contains NVidia GPU then you can enable the GPU
 support on OpenShift, this will allow you to run also GPU tests. To
 enable GPU on OpenShift follow `these
 instructions `__.
-Currently the SDK doesn’t support tolerations, so e2e tests can’t be
-executed on nodes with taint (i.e. GPU taint).
+Currently the SDK doesn't support tolerations, so e2e tests can't be
+executed on nodes with taint (i.e. GPU taint).
 
 -  Test Phase:
 
@@ -203,8 +203,9 @@ On OpenShift Disconnected clusters
             AWS_STORAGE_BUCKET=
             AWS_STORAGE_BUCKET_MNIST_DIR=
 
-         Note : When using the Python Minio client to connect to a minio
-         storage bucket, the ``AWS_DEFAULT_ENDPOINT`` environment
-         variable by default expects secure endpoint where user can use
-         endpoint url with https/http prefix for autodetection of
-         secure/insecure endpoint.
+         .. note::
+            When using the Python Minio client to connect to a minio
+            storage bucket, the ``AWS_DEFAULT_ENDPOINT`` environment
+            variable by default expects secure endpoint where user can use
+            endpoint url with https/http prefix for autodetection of
+            secure/insecure endpoint.
diff --git a/docs/sphinx/user-docs/images/ui-buttons.png b/docs/sphinx/user-docs/images/ui-buttons.png
new file mode 100644
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diff --git a/docs/sphinx/user-docs/ray-cluster-interaction.rst b/docs/sphinx/user-docs/ray-cluster-interaction.rst
new file mode 100644
index 00000000..8e7929b4
--- /dev/null
+++ b/docs/sphinx/user-docs/ray-cluster-interaction.rst
@@ -0,0 +1,90 @@
+Ray Cluster Interaction
+=======================
+
+The CodeFlare SDK offers multiple ways to interact with Ray Clusters
+including the below methods.
+
+get_cluster()
+-------------
+
+The ``get_cluster()`` function is used to initialise a ``Cluster``
+object from a pre-existing Ray Cluster/AppWrapper. Below is an example
+of it's usage:
+
+::
+
+   from codeflare_sdk import get_cluster
+   cluster = get_cluster(cluster_name="raytest", namespace="example", is_appwrapper=False, write_to_file=False)
+   -> output: Yaml resources loaded for raytest
+   cluster.status()
+   -> output:
+                       🚀 CodeFlare Cluster Status 🚀
+    ╭─────────────────────────────────────────────────────────────────╮
+    │   Name                                                          │
+    │   raytest                                           Active ✅   │
+    │                                                                 │
+    │   URI: ray://raytest-head-svc.example.svc:10001                 │
+    │                                                                 │
+    │   Dashboard🔗                                                   │
+    │                                                                 │
+    ╰─────────────────────────────────────────────────────────────────╯
+   (, True)
+   cluster.down()
+   cluster.up() # This function will create an exact copy of the retrieved Ray Cluster only if the Ray Cluster has been previously deleted.
+
+| These are the parameters the ``get_cluster()`` function accepts:
+| ``cluster_name: str # Required`` -> The name of the Ray Cluster.
+| ``namespace: str # Default: "default"`` -> The namespace of the Ray Cluster.
+| ``is_appwrapper: bool # Default: False`` -> When set to
+| ``True`` the function will attempt to retrieve an AppWrapper instead of a Ray Cluster.
+| ``write_to_file: bool # Default: False`` -> When set to ``True`` the Ray Cluster/AppWrapper will be written to a file similar to how it is done in ``ClusterConfiguration``.
+
+list_all_queued()
+-----------------
+
+| The ``list_all_queued()`` function returns (and prints by default) a list of all currently queued-up Ray Clusters in a given namespace.
+| It accepts the following parameters:
+| ``namespace: str # Required`` -> The namespace you want to retrieve the list from.
+| ``print_to_console: bool # Default: True`` -> Allows the user to print the list to their console.
+| ``appwrapper: bool # Default: False`` -> When set to ``True`` allows the user to list queued AppWrappers.
+
+list_all_clusters()
+-------------------
+
+| The ``list_all_clusters()`` function will return a list of detailed descriptions of Ray Clusters to the console by default.
+| It accepts the following parameters:
+| ``namespace: str # Required`` -> The namespace you want to retrieve the list from.
+| ``print_to_console: bool # Default: True`` -> A boolean that allows the user to print the list to their console.
+
+.. note::
+
+   The following methods require a ``Cluster`` object to be
+   initialized. See :doc:`./cluster-configuration`
+
+cluster.up()
+------------
+
+| The ``cluster.up()`` function creates a Ray Cluster in the given namespace.
+
+cluster.down()
+--------------
+
+| The ``cluster.down()`` function deletes the Ray Cluster in the given namespace.
+
+cluster.status()
+----------------
+
+| The ``cluster.status()`` function prints out the status of the Ray Cluster's state with a link to the Ray Dashboard.
+
+cluster.details()
+-----------------
+
+| The ``cluster.details()`` function prints out a detailed description of the Ray Cluster's status, worker resources and a link to the Ray Dashboard.
+
+cluster.wait_ready()
+--------------------
+
+| The ``cluster.wait_ready()`` function waits for the requested cluster to be ready, up to an optional timeout and checks every 5 seconds.
+| It accepts the following parameters:
+| ``timeout: Optional[int] # Default: None`` -> Allows the user to define a timeout for the ``wait_ready()`` function.
+| ``dashboard_check: bool # Default: True`` -> If enabled the ``wait_ready()`` function will wait until the Ray Dashboard is ready too.
diff --git a/docs/sphinx/user-docs/s3-compatible-storage.rst b/docs/sphinx/user-docs/s3-compatible-storage.rst
index 60937441..0ca2cc0d 100644
--- a/docs/sphinx/user-docs/s3-compatible-storage.rst
+++ b/docs/sphinx/user-docs/s3-compatible-storage.rst
@@ -82,5 +82,5 @@ Lastly the new ``run_config`` must be added to the Trainer:
 To find more information on creating a Minio Bucket compatible with
 RHOAI you can refer to this
 `documentation `__.
-Note: You must have ``sf3s`` and ``pyarrow`` installed in your
+Note: You must have ``s3fs`` and ``pyarrow`` installed in your
 environment for this method.
diff --git a/docs/sphinx/user-docs/setup-kueue.rst b/docs/sphinx/user-docs/setup-kueue.rst
index 86956e01..1f2bdc04 100644
--- a/docs/sphinx/user-docs/setup-kueue.rst
+++ b/docs/sphinx/user-docs/setup-kueue.rst
@@ -11,10 +11,9 @@ Kueue resources, namely Cluster Queue, Resource Flavor, and Local Queue.
 1. Resource Flavor:
 -------------------
 
-Resource Flavors allow the cluster admin to define different types of
-resources with specific characteristics, such as CPU, memory, GPU, etc.
-These can then be assigned to workloads to ensure they are executed on
-appropriate resources.
+Resource Flavors allow the cluster admin to reflect differing resource capabilities
+of nodes within a clusters, such as CPU, memory, GPU, etc. These can then be assigned
+to workloads to ensure they are executed on nodes with appropriate resources.
 
 The YAML configuration provided below creates an empty Resource Flavor
 named default-flavor. It serves as a starting point and does not specify
diff --git a/docs/sphinx/user-docs/ui-widgets.rst b/docs/sphinx/user-docs/ui-widgets.rst
new file mode 100644
index 00000000..6c797e04
--- /dev/null
+++ b/docs/sphinx/user-docs/ui-widgets.rst
@@ -0,0 +1,55 @@
+Jupyter UI Widgets
+==================
+
+Below are some examples of the Jupyter UI Widgets that are included in
+the CodeFlare SDK.
+
+.. note::
+   To use the widgets functionality you must be using the CodeFlare SDK in a Jupyter Notebook environment.
+
+Cluster Up/Down Buttons
+-----------------------
+
+The Cluster Up/Down buttons appear after successfully initialising your
+`ClusterConfiguration `__.
+There are two buttons and a checkbox ``Cluster Up``, ``Cluster Down``
+and ``Wait for Cluster?`` which mimic the
+`cluster.up() `__,
+`cluster.down() `__ and
+`cluster.wait_ready() `__
+functionality.
+
+After initialising their ``ClusterConfiguration`` a user can select the
+``Wait for Cluster?`` checkbox then click the ``Cluster Up`` button to
+create their Ray Cluster and wait until it is ready. The cluster can be
+deleted by clicking the ``Cluster Down`` button.
+
+.. image:: images/ui-buttons.png
+   :alt: An image of the up/down ui buttons
+
+View Clusters UI Table
+----------------------
+
+The View Clusters UI Table allows a user to see a list of Ray Clusters
+with information on their configuration including number of workers, CPU
+requests and limits along with the clusters status.
+
+.. image:: images/ui-view-clusters.png
+   :alt: An image of the view clusters ui table
+
+Above is a list of two Ray Clusters ``raytest`` and ``raytest2`` each of
+those headings is clickable and will update the table to view the
+selected Cluster's information. There are three buttons under the table
+``Cluster Down``, ``View Jobs`` and ``Open Ray Dashboard``. \* The
+``Cluster Down`` button will delete the selected Cluster. \* The
+``View Jobs`` button will try to open the Ray Dashboard's Jobs view in a
+Web Browser. The link will also be printed to the console. \* The
+``Open Ray Dashboard`` button will try to open the Ray Dashboard view in
+a Web Browser. The link will also be printed to the console.
+
+The UI Table can be viewed by calling the following function.
+
+.. code:: python
+
+   from codeflare_sdk import view_clusters
+   view_clusters() # Accepts namespace parameter but will try to gather the namespace from the current context

From e8432bf0d196dfea50c267a49b155accd28dbd55 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Wed, 16 Oct 2024 12:33:45 +0100
Subject: [PATCH 137/254] Intuit python version for compatible Ray image

---
 .../ray/cluster/generate_yaml.py              | 20 ++++++++++++++++---
 1 file changed, 17 insertions(+), 3 deletions(-)

diff --git a/src/codeflare_sdk/ray/cluster/generate_yaml.py b/src/codeflare_sdk/ray/cluster/generate_yaml.py
index 0b174650..83a2f958 100755
--- a/src/codeflare_sdk/ray/cluster/generate_yaml.py
+++ b/src/codeflare_sdk/ray/cluster/generate_yaml.py
@@ -18,6 +18,7 @@
 """
 
 import json
+import sys
 import typing
 import yaml
 import os
@@ -31,6 +32,11 @@
 )
 import codeflare_sdk
 
+SUPPORTED_PYTHON_VERSIONS = {
+    "3.9": "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06",
+    "3.11": "quay.io/modh/ray:2.35.0-py311-cu121",
+}
+
 
 def read_template(template):
     with open(template, "r") as stream:
@@ -88,9 +94,17 @@ def update_names(
 
 def update_image(spec, image):
     containers = spec.get("containers")
-    if image != "":
-        for container in containers:
-            container["image"] = image
+    if not image:
+        python_version = f"{sys.version_info.major}.{sys.version_info.minor}"
+        try:
+            if python_version in SUPPORTED_PYTHON_VERSIONS:
+                image = SUPPORTED_PYTHON_VERSIONS[python_version]
+        except Exception:  # pragma: no cover
+            print(
+                f"Python version '{python_version}' is not supported. Only {', '.join(SUPPORTED_PYTHON_VERSIONS.keys())} are supported."
+            )
+    for container in containers:
+        container["image"] = image
 
 
 def update_image_pull_secrets(spec, image_pull_secrets):

From 2c7bcfa5ac5a9506292687bfc4a3cc2920fffcd6 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Thu, 17 Oct 2024 13:43:32 +0100
Subject: [PATCH 138/254] Adjust demo notebooks with new ray image defaults

---
 .../additional-demos/hf_interactive.ipynb     |  8 +++-
 .../additional-demos/local_interactive.ipynb  |  8 +++-
 .../additional-demos/ray_job_client.ipynb     |  8 +++-
 demo-notebooks/guided-demos/0_basic_ray.ipynb |  8 +++-
 .../guided-demos/1_cluster_job_client.ipynb   |  8 +++-
 .../guided-demos/2_basic_interactive.ipynb    |  8 +++-
 .../guided-demos/3_widget_example.ipynb       |  8 +++-
 .../notebook-ex-outputs/0_basic_ray.ipynb     |  8 +++-
 .../1_cluster_job_client.ipynb                |  8 +++-
 .../2_basic_interactive.ipynb                 |  8 +++-
 .../preview_nbs/0_basic_ray.ipynb             |  8 +++-
 .../preview_nbs/1_cluster_job_client.ipynb    |  8 +++-
 .../preview_nbs/2_basic_interactive.ipynb     |  8 +++-
 .../ray/cluster/generate_yaml.py              | 14 +++----
 .../ray/cluster/test_generate_yaml.py         | 38 ++++++++++++++++++-
 15 files changed, 122 insertions(+), 34 deletions(-)

diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb
index 39835929..d75d96ec 100644
--- a/demo-notebooks/additional-demos/hf_interactive.ipynb
+++ b/demo-notebooks/additional-demos/hf_interactive.ipynb
@@ -68,8 +68,12 @@
    "source": [
     "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding Ray Cluster).\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb
index a491b97e..09cb9b89 100644
--- a/demo-notebooks/additional-demos/local_interactive.ipynb
+++ b/demo-notebooks/additional-demos/local_interactive.ipynb
@@ -35,8 +35,12 @@
    "metadata": {},
    "source": [
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb
index a16ae6e6..31c5793e 100644
--- a/demo-notebooks/additional-demos/ray_job_client.ipynb
+++ b/demo-notebooks/additional-demos/ray_job_client.ipynb
@@ -41,8 +41,12 @@
    "metadata": {},
    "source": [
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb
index 58a52727..51fb0026 100644
--- a/demo-notebooks/guided-demos/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb
@@ -47,8 +47,12 @@
    "source": [
     "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
index 05682d82..aaed9930 100644
--- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
@@ -41,8 +41,12 @@
    "source": [
     "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
index 1612af3f..8610a055 100644
--- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
@@ -44,8 +44,12 @@
    "source": [
     "Once again, let's start by running through the same cluster setup as before:\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/3_widget_example.ipynb b/demo-notebooks/guided-demos/3_widget_example.ipynb
index 11521ec7..cf0df6dd 100644
--- a/demo-notebooks/guided-demos/3_widget_example.ipynb
+++ b/demo-notebooks/guided-demos/3_widget_example.ipynb
@@ -47,8 +47,12 @@
    "source": [
     "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
index 3d581e6f..3e6dc193 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
@@ -47,8 +47,12 @@
    "source": [
     "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
index 1ccad58c..e79d47e7 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
@@ -41,8 +41,12 @@
    "source": [
     "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
index 80207c37..f6417521 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
@@ -44,8 +44,12 @@
    "source": [
     "Once again, let's start by running through the same cluster setup as before:\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
index 3d581e6f..3e6dc193 100644
--- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
@@ -47,8 +47,12 @@
    "source": [
     "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
index 0a2b9343..40195d64 100644
--- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
@@ -41,8 +41,12 @@
    "source": [
     "Here, we want to define our cluster by specifying the resources we require for our batch workload. Below, we define our cluster object (which generates a corresponding RayCluster).\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
index a58c249e..8838a5ba 100644
--- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
@@ -44,8 +44,12 @@
    "source": [
     "Once again, let's start by running through the same cluster setup as before:\n",
     "\n",
-    "NOTE: 'quay.io/modh/ray:2.35.0-py39-cu121' is the default image used by the CodeFlare SDK for creating a RayCluster resource. \n",
-    "If you have your own Ray image which suits your purposes, specify it in image field to override the default image."
+    "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
+    "\n",
+    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "\n",
+    "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
   },
   {
diff --git a/src/codeflare_sdk/ray/cluster/generate_yaml.py b/src/codeflare_sdk/ray/cluster/generate_yaml.py
index 83a2f958..01823f1d 100755
--- a/src/codeflare_sdk/ray/cluster/generate_yaml.py
+++ b/src/codeflare_sdk/ray/cluster/generate_yaml.py
@@ -20,6 +20,7 @@
 import json
 import sys
 import typing
+import warnings
 import yaml
 import os
 import uuid
@@ -34,7 +35,7 @@
 
 SUPPORTED_PYTHON_VERSIONS = {
     "3.9": "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06",
-    "3.11": "quay.io/modh/ray:2.35.0-py311-cu121",
+    "3.11": "quay.io/modh/ray@sha256:db667df1bc437a7b0965e8031e905d3ab04b86390d764d120e05ea5a5c18d1b4",
 }
 
 
@@ -96,12 +97,11 @@ def update_image(spec, image):
     containers = spec.get("containers")
     if not image:
         python_version = f"{sys.version_info.major}.{sys.version_info.minor}"
-        try:
-            if python_version in SUPPORTED_PYTHON_VERSIONS:
-                image = SUPPORTED_PYTHON_VERSIONS[python_version]
-        except Exception:  # pragma: no cover
-            print(
-                f"Python version '{python_version}' is not supported. Only {', '.join(SUPPORTED_PYTHON_VERSIONS.keys())} are supported."
+        if python_version in SUPPORTED_PYTHON_VERSIONS:
+            image = SUPPORTED_PYTHON_VERSIONS[python_version]
+        else:
+            warnings.warn(
+                f"No default Ray image defined for {python_version}. Please provide your own image or use one of the following python versions: {', '.join(SUPPORTED_PYTHON_VERSIONS.keys())}."
             )
     for container in containers:
         container["image"] = image
diff --git a/src/codeflare_sdk/ray/cluster/test_generate_yaml.py b/src/codeflare_sdk/ray/cluster/test_generate_yaml.py
index 68c6aa89..606cc950 100644
--- a/src/codeflare_sdk/ray/cluster/test_generate_yaml.py
+++ b/src/codeflare_sdk/ray/cluster/test_generate_yaml.py
@@ -11,7 +11,9 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from codeflare_sdk.ray.cluster.generate_yaml import gen_names
+from collections import namedtuple
+import sys
+from .generate_yaml import gen_names, update_image
 import uuid
 
 
@@ -32,3 +34,37 @@ def test_gen_names_without_name(mocker):
     appwrapper_name, cluster_name = gen_names(None)
     assert appwrapper_name.startswith("appwrapper-")
     assert cluster_name.startswith("cluster-")
+
+
+def test_update_image_without_supported_python_version(mocker):
+    # Mock SUPPORTED_PYTHON_VERSIONS
+    mocker.patch.dict(
+        "codeflare_sdk.ray.cluster.generate_yaml.SUPPORTED_PYTHON_VERSIONS",
+        {
+            "3.9": "ray-py3.9",
+            "3.11": "ray-py3.11",
+        },
+    )
+
+    # Create a namedtuple to mock sys.version_info
+    VersionInfo = namedtuple(
+        "version_info", ["major", "minor", "micro", "releaselevel", "serial"]
+    )
+    mocker.patch.object(sys, "version_info", VersionInfo(3, 8, 0, "final", 0))
+
+    # Mock warnings.warn to check if it gets called
+    warn_mock = mocker.patch("warnings.warn")
+
+    # Create a sample spec
+    spec = {"containers": [{"image": None}]}
+
+    # Call the update_image function with no image provided
+    update_image(spec, None)
+
+    # Assert that the warning was called with the expected message
+    warn_mock.assert_called_once_with(
+        "No default Ray image defined for 3.8. Please provide your own image or use one of the following python versions: 3.9, 3.11."
+    )
+
+    # Assert that no image was set in the containers since the Python version is not supported
+    assert spec["containers"][0]["image"] is None

From 51d0b2f2b1ba90a0aa314e9b93eed2f20a4efd6b Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Thu, 17 Oct 2024 13:46:19 +0100
Subject: [PATCH 139/254] Remove image from base-template

---
 docs/sphinx/user-docs/cluster-configuration.rst    | 13 +++++++++----
 src/codeflare_sdk/ray/templates/base-template.yaml |  2 --
 2 files changed, 9 insertions(+), 6 deletions(-)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index 6d27b0f4..238ad51c 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -30,10 +30,15 @@ requirements for creating the Ray Cluster.
    ))
 
 .. note::
-  `quay.io/modh/ray:2.35.0-py39-cu121` is the default image used by
-  the CodeFlare SDK for creating a RayCluster resource. If you have your
-  own Ray image which suits your purposes, specify it in image field to
-  override the default image. If you are using ROCm compatible GPUs you
+  The default images used by the CodeFlare SDK for creating
+  a RayCluster resource depend on the installed Python version:
+
+  - For Python 3.9: `quay.io/modh/ray:2.35.0-py39-cu121`
+  - For Python 3.11: `quay.io/modh/ray:2.35.0-py311-cu121`
+
+  If you prefer to use a custom Ray image that better suits your
+  needs, you can specify it in the image field to override the default.
+  If you are using ROCm compatible GPUs you
   can use `quay.io/modh/ray:2.35.0-py39-rocm61`. You can also find
   documentation on building a custom image
   `here `__.
diff --git a/src/codeflare_sdk/ray/templates/base-template.yaml b/src/codeflare_sdk/ray/templates/base-template.yaml
index 19e5b191..b59d2a49 100644
--- a/src/codeflare_sdk/ray/templates/base-template.yaml
+++ b/src/codeflare_sdk/ray/templates/base-template.yaml
@@ -69,7 +69,6 @@ spec:
         containers:
         # The Ray head pod
         - name: ray-head
-          image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
           imagePullPolicy: Always
           ports:
           - containerPort: 6379
@@ -150,7 +149,6 @@ spec:
       spec:
         containers:
         - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name',  or '123-abc'
-          image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
           # environment variables to set in the container.Optional.
           # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/
           lifecycle:

From fd3877d9bdaf276d91f157658a375508633d0374 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 17 Oct 2024 15:28:36 +0100
Subject: [PATCH 140/254] fix: publish documentation workflow

---
 .github/workflows/release.yaml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 16b5aac4..ccac5260 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -54,6 +54,8 @@ jobs:
                   --repo ${{ github.event.inputs.codeflare-repository-organization }}/codeflare-sdk \
                   --ref ${{ github.ref }} \
                   --field codeflare_sdk_release_version=${{ github.event.inputs.release-version }}
+              env:
+                GITHUB_TOKEN: ${{ secrets.CODEFLARE_MACHINE_ACCOUNT_TOKEN }}
             - name: Copy demo notebooks into SDK package
               run: cp -r demo-notebooks src/codeflare_sdk/demo-notebooks
             - name: Run poetry build

From 2e28f8acd33c5f410c5f06958d5b6ba37e183eb9 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Thu, 17 Oct 2024 16:57:59 +0100
Subject: [PATCH 141/254] Pull latest changes before syncing to notebooks

---
 .github/workflows/odh-notebooks-sync.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml
index ecb5b0a5..f0853bff 100644
--- a/.github/workflows/odh-notebooks-sync.yml
+++ b/.github/workflows/odh-notebooks-sync.yml
@@ -47,8 +47,8 @@ jobs:
           git config --global user.email "138894154+codeflare-machine-account@users.noreply.github.com"
           git config --global user.name "codeflare-machine-account"
           git remote -v
-          git fetch upstream $BRANCH_NAME
           git checkout $BRANCH_NAME
+          git pull upstream $BRANCH_NAME && git push origin $BRANCH_NAME
 
       - name: Setup Python environment
         uses: actions/setup-python@v4

From aee7c20cc54d9d2cd566ef8dab4ae6c5b667bf20 Mon Sep 17 00:00:00 2001
From: Varsha Prasad Narsing 
Date: Tue, 8 Oct 2024 11:35:50 -0700
Subject: [PATCH 142/254] [Add] Design doc for CodeFlare SDK

This PR adds design documentation for CodeFlare SDK to the repository for
reference in future.
---
 .gitignore                                    |   1 +
 docs/designs/CodeFlare-SDK-design-doc.md      | 141 ++++++++++++++++++
 .../History/CodeFlareSDK_Design_Doc.md        |   1 +
 docs/images/codeflare_sdk.png                 | Bin 0 -> 106171 bytes
 docs/images/codeflare_stack_arch.png          | Bin 0 -> 290535 bytes
 5 files changed, 143 insertions(+)
 create mode 100644 docs/designs/CodeFlare-SDK-design-doc.md
 rename CodeFlareSDK_Design_Doc.md => docs/designs/History/CodeFlareSDK_Design_Doc.md (98%)
 create mode 100644 docs/images/codeflare_sdk.png
 create mode 100644 docs/images/codeflare_stack_arch.png

diff --git a/.gitignore b/.gitignore
index 9ac5d687..52304a62 100644
--- a/.gitignore
+++ b/.gitignore
@@ -14,3 +14,4 @@ ui-tests/playwright-report
 ui-tests/test-results
 /src/codeflare_sdk.egg-info/
 docs/sphinx/_build
+.idea/
diff --git a/docs/designs/CodeFlare-SDK-design-doc.md b/docs/designs/CodeFlare-SDK-design-doc.md
new file mode 100644
index 00000000..aecdfd56
--- /dev/null
+++ b/docs/designs/CodeFlare-SDK-design-doc.md
@@ -0,0 +1,141 @@
+# CodeFlare SDK Design Document
+
+Author: [@varshaprasad96](https://github.com/varshaprasad96)
+
+## Introduction
+This document outlines the design of the Project CodeFlare SDK, a Python SDK that facilitates interactions between users and the distributed workloads component of Red Hat OpenShift AI(RHOAI)/ OpenDataHub(ODH). Users, in this instance, are both data scientists and MLOps Engineers. The SDK provides a high-level abstraction for managing machine learning(ML) workflows, jobs and distributed computing resources.
+
+This document should be followed when adding new functionality along with being updated as the design evolves.
+
+## Objectives
+1. Provide a Pythonic, user-friendly interface for interaction with distributed workloads components.
+2. Integrate with Kueue for managing workload queues, quota management, job orchestration and scheduling.
+3. Provide separate functionalities for data scientists/ MLops engineers and platform administrators.
+4. Allow data scientists to manage ML workflows, workloads and jobs.
+5. Leverage Ray and [Kubeflow][Kubeflow] for workloads and jobs.
+6. Ensure extensibility to accommodate future integrations with other tools and frameworks.
+7. Follow best practices in the codebase to make it easier for developers to maintain the project.
+
+## Architecture
+
+### CodeFlare stack components overview:
+1. [CodeFlare SDK][codeflare_sdk_gh]: Primary user-facing component, offering a Python-native interface that bridges users with the underlying services in the stack. This SDK abstracts away much of the complexity, providing a unified and accessible method for submitting and managing the running of distributed AI workloads on Kubernetes clusters.
+
+2. [CodeFlare Operator][codeflare_operator_gh]: Manages the platform requirements for the running of the CodeFlare components:
+   1. Ensuring necessary configurations are present on cluster to enable access to Ray dashboards (includes ingress and cert management).
+   2. Validate and mutate Ray cluster/AppWrapper CRUD requests (admission policy).
+   3. Creates Ray related Routes/Ingresses based on if the environment is OpenShift/Kubernetes.
+
+3. [AppWrapper][appwrapper_gh]: AppWrapper groups multiple Kubernetes resources into a single, logical workload for easier management. It is integrated with Kueue and accepts the k8s components to be created and managed through a template in the spec which is untyped in the form of RawExtension.
+
+4. [KubeRay][kuberay_gh]: Operator designed specifically for managing and orchestrating Ray clusters on Kubernetes. It automates the creation and lifecycle management of Ray clusters and jobs, ensuring that they can scale and operate efficiently on K8s. KubeRay also provides a Python client library, enabling developers and data scientists to interact with Ray components directly within their applications.
+
+5. [Kueue][kueue_gh]: Batch workload queuing and scheduling system designed to optimize resource allocation in K8s clusters. It ensures that Ray Clusters are only scheduled when sufficient resources are available, preventing resource contention and maximizing cluster efficiency. This component plays a critical role in balancing resource availability with the demand for distributed workloads, facilitating efficient job execution.
+
+At a high level, the interaction between a data scientist, CodeFlare SDK and the rest of the components are explained below:
+
+![Diagram-1](../images/codeflare_stack_arch.png)
+
+The role of the SDK in the model training and tuning stack remains consistent on the client side, regardless of any changes to the components it interacts with on the cluster.
+
+![Diagram-2](../images/codeflare_sdk.png)
+
+#### Considerations while designing SDK:
+1. Ease of use and integration: The SDK’s primary role is to abstract Kubernetes specifics. It should provide simple interfaces for interacting with any of the model training components on the server side.
+2. Lightweight: The SDK runs client-side and should minimize resource consumption. It must prioritize responsiveness and user experience. For example, using a polling mechanism to fetch status instead of a constantly watching resources.
+3. Extensibility: The SDK currently integrates well with the CodeFlare stack, which uses Ray and the TorchX (pytorch) distributed framework. In the future, components used for distributed training/tuning (as seen in figure [2]) should remain interchangeable.
+4. Security: The SDK must ensure users see only the information they are authorized to view. It's the responsibility of the SDK to generate an authenticated request by attaching the right credentials/token during every API call.
+5. Typed Object Creation: The client, to the extent possible should allow the creation of known, typed K8s resources. This prevents arbitrary payloads from reaching the server which could be a threat.
+6. Release Versioning: The SDK adheres to the Semantic Versioning format and should follow the specifications outlined in the [SemVer standard][semver_std].
+7. Version Compatibility: The SDK must maintain compatibility between client and server versions. Backward compatibility should be ensured even if one side is upgraded.
+
+#### Codebase Modularization:
+The CodeFlare-SDK should adopt a modular architecture to support the seamless addition and modification of components. The project structure must meet the following key requirements:
+
+1. Component Structure: The SDK should consist of clearly separated components to promote maintainability and scalability. For example:
+   - Distinct Python packages should be created for command modules, helpers, and utilities that interface with Kubernetes (OpenShift) clusters.
+   - Separate packages should be defined for framework-specific clusters, such as Ray.
+2. Self-Contained Packages: Each Python package should function independently as a self-contained module, encapsulating dedicated functionality. This approach will simplify management, improve maintainability, and enable the SDK to evolve more efficiently.
+3. Testing Framework:
+   - Unit tests should be integrated within each submodule, ensuring comprehensive coverage that directly correlates with the corresponding code.
+   - Integration and upgrade tests, which span multiple components, should be managed independently to validate both individual modules and the system’s end-to-end functionality.
+
+An example of a modular structure would be:
+```
+codeflare_sdk/
+├── build/
+│   ├── requirements.txt         # Dependencies required for building the project.
+│   ├── Dockerfile               # Docker configuration for containerizing the SDK.
+│   └── image_stream.yaml        # YAML file for building and deploying OpenShift image streams.
+├── docs/                        # Documentation files for guiding users and contributors. Includes design docs.
+├── examples/                    # Demonstrative examples showcasing SDK usage.
+│   ├── guided_demos/
+│   └── additional_demos/
+├── src/
+│   └── codeflare_sdk/
+│       ├── common/              # Self-contained modules shared across SDK components.
+│       │   ├── kubernetes_cluster/ # APIs for interacting with K8s clusters (e.g., authentication).
+│       │   │   ├── __init__.py
+│       │   │   ├── file.py
+│       │   │   └── test_test.py  # Unit tests contained in the same module.
+│       │   ├── kueue/           # API interactions related to Kueue job queuing.
+│       │   ├── widgets/         # Reusable UI components for visualization.
+│       │   └── utils/           # General utility functions and helpers used across project.
+│       ├── ray/                 # Framework-specific APIs for Ray clusters.
+│       │   ├── cluster/         # Cluster management utilities for Ray.
+│       │   ├── client/          # Ray client interaction modules.
+│       │   └── appwrapper/
+├── tests/                       # End-to-end and upgrade testing modules.
+│   ├── e2e/
+│   └── upgrade/
+├── poetry.lock                  # Project configuration and dependency management (Poetry).
+└── pyproject.toml
+
+```
+
+### Client side best practices:
+1. The SDK should perform client-side validation of user inputs before sending them to the API server, to the extent possible. These validations should be limited to client-side checks, and the SDK is not responsible for performing validations that require server-side data. The SDK does not need to maintain the state of server-side objects. Examples of client-side validations include verifying user inputs, validating YAML schemas, and checking resource requests/limits based on available data.
+2. Any call made to the server should have a client instance passed through it. By default, the SDK should use the same client for all operations unless otherwise specified. For example, the client used to list clusters should also be used to fetch cluster details. The codebase should be designed so that these operations are either methods of the same client (e.g., a k8s client, RayJob client, TrainingClient) or the client instance is passed as an argument to the methods.
+3. Errors returned from the API server, to the extent possible, should be wrapped and handled explicitly.
+
+## Test Coverage:
+The project should aim to maintain reasonable test coverage to ensure code quality. Wherever possible, new lines of code should be accompanied by corresponding test cases. Reviewers are encouraged to exercise discretion when merging pull requests (PRs) that result in a drop in test coverage percentage compared to the current state. To aid in tracking coverage, external tools like Codecov can be integrated with the repository, allowing for easier monitoring and ensuring that the codebase maintains a robust level of test coverage over time.
+
+## Release:
+A new version of CodeFlare SDK will be released once every three weeks.
+For details on the release support matrix with other CodeFlare components, refer [here][codeflare_compatibility_matrix].
+RHOAI and ODH support matrix: CodeFlare SDK APIs fall under [Tier 2][RH_customer_API_support] support on `RHOAI` platform. This implies than an API would be support in for `n-1` major versions for a minimum of 9 months.
+
+## Security:
+Currently, users must manually manage mTLS certificates and re-authenticate Ray clients when connecting to Ray clusters, though the CodeFlare SDK offers helpers to streamline this process (as seen [here][cert_generation]). In the future, integration with a service mesh like Istio will automate mTLS setup and certificate management via a sidecar proxy, eliminating the need for manual certificate handling and client re-authentication.
+
+### CVE Management:
+We currently use two approaches for scanning CVEs:
+1. Dependabot is enabled to automatically bump dependencies with CVE fixes in the upstream repository.
+2. A downstream Snyk scanner is used to identify vulnerabilities.
+
+Depending on the severity of the issue, fixes are prioritized, and a new release with the necessary patches is tagged within the following three-week release window.
+To streamline the CVE management process, it is recommended to automate security scans across multiple branches in the upstream repositories. This ensures that the SDK version used with each Notebook release remains free from vulnerabilities throughout its support cycle.
+
+## Documentation and Examples:
+The following are the documentation sources for users which will need to remain updated:
+1. Upstream documentation - includes `README` and examples in `docs/` folder.
+2. Demo notebooks - The NBs which are to be tested and updated to ensure that they are up-to-date with the most recent changes.
+3. For RHOAI/ODH customers - [Official documentation][DW_RHOAI_docs] will be updated after every release.
+
+The API documentation for the users should be clear, up-to-date with any changes, and if possible be generated automatically using appropriate tools to ensure accuracy and consistency.
+
+Implementation History:
+- 2024-10-07: Initial revision
+
+[Kubeflow]: https://www.kubeflow.org
+[codeflare_sdk_gh]: https://github.com/project-codeflare/codeflare-sdk
+[codeflare_operator_gh]: https://github.com/project-codeflare/codeflare-operator
+[appwrapper_gh]: https://github.com/project-codeflare/appwrapper
+[kuberay_gh]: https://github.com/ray-project/kuberay
+[kueue_gh]: https://github.com/kubernetes-sigs/kueue
+[codeflare_compatibility_matrix]: https://github.com/project-codeflare/codeflare-operator?tab=readme-ov-file#codeflare-operator
+[RH_customer_API_support]: https://access.redhat.com/articles/7047935
+[DW_RHOAI_docs]: https://docs.redhat.com/en/documentation/red_hat_openshift_ai_self-managed/2-latest/html-single/working_with_distributed_workloads/index
+[cert_generation]: https://github.com/project-codeflare/codeflare-sdk/blob/main/src/codeflare_sdk/common/utils/generate_cert.py
+[semver_std]: https://semver.org/#semantic-versioning-specification-semver
diff --git a/CodeFlareSDK_Design_Doc.md b/docs/designs/History/CodeFlareSDK_Design_Doc.md
similarity index 98%
rename from CodeFlareSDK_Design_Doc.md
rename to docs/designs/History/CodeFlareSDK_Design_Doc.md
index 0274f65d..4992406b 100644
--- a/CodeFlareSDK_Design_Doc.md
+++ b/docs/designs/History/CodeFlareSDK_Design_Doc.md
@@ -1,3 +1,4 @@
+> 📄 **Note**: This is an older version of the document. The latest version is available [here](../CodeFlare-SDK-design-doc).
 # CodeFlare SDK Design Doc
 
 ## Context and Scope
diff --git a/docs/images/codeflare_sdk.png b/docs/images/codeflare_sdk.png
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literal 0
HcmV?d00001


From 3c0008d04835767916fcf83cd19917d6b7ef5236 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Tue, 22 Oct 2024 16:30:31 +0100
Subject: [PATCH 143/254] fix: copy_demo_nbs function package path

---
 src/codeflare_sdk/common/utils/demos.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/codeflare_sdk/common/utils/demos.py b/src/codeflare_sdk/common/utils/demos.py
index 2571a23d..485f47f8 100644
--- a/src/codeflare_sdk/common/utils/demos.py
+++ b/src/codeflare_sdk/common/utils/demos.py
@@ -1,7 +1,7 @@
 import pathlib
 import shutil
 
-package_dir = pathlib.Path(__file__).parent.parent.resolve()
+package_dir = pathlib.Path(__file__).parent.parent.parent.resolve()
 demo_dir = f"{package_dir}/demo-notebooks"
 
 

From 9faebc2ad70fc8ed7425609974a81608b0bfe48f Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Mon, 14 Oct 2024 15:25:01 +0100
Subject: [PATCH 144/254] Dependabot Enhancements: - Ignore updating patch
 versions to focus on major and minor updates. - Limit number of PRs opened. -
 Add dependabot labeler workflow to add required labels to automatically add
 PRs to merge queues. - Add merge_group condition on test workflows to be ran
 on merge queues.

---
 .github/dependabot.yml                    | 31 ++++++++++++++++-------
 .github/workflows/dependabot-labeler.yaml | 17 +++++++++++++
 .github/workflows/e2e_tests.yaml          |  1 +
 .github/workflows/pre-commit.yaml         |  1 +
 .github/workflows/unit-tests.yml          |  1 +
 5 files changed, 42 insertions(+), 9 deletions(-)
 create mode 100644 .github/workflows/dependabot-labeler.yaml

diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index fb121a71..41474098 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -4,18 +4,16 @@
 version: 2
 updates:
   # This is to update requirements.txt files in the guided-demos, and e2e directories.
-  # The group configuration option is used to group updates for consistency across related directories.
   - package-ecosystem: "pip"
     directories:
       - "**/demo-notebooks/guided-demos*"
       - "/tests/e2e"
     schedule:
-      interval: "weekly"
-    groups:
-      requirements.txt:
-        patterns:
-          - "*"
-    open-pull-requests-limit: 10
+      interval: "daily"
+    ignore:
+      - dependency-name: "*"
+        update-types: ["version-update:semver-patch"]
+    open-pull-requests-limit: 4
     labels:
       - "test-guided-notebooks"
 
@@ -23,7 +21,22 @@ updates:
   - package-ecosystem: "pip"
     directory: "/"
     schedule:
-      interval: "weekly"
-    open-pull-requests-limit: 10
+      interval: "daily"
+    ignore:
+      - dependency-name: "*"
+        update-types: ["version-update:semver-patch"]
+    open-pull-requests-limit: 1
     labels:
       - "test-guided-notebooks"
+
+  # npm means yarn in this case, this keeps yarn.lock up to date with constraints in package.json.
+  - package-ecosystem: "npm"
+    directory: "/ui-tests"
+    schedule:
+      interval: "daily"
+    ignore:
+      - dependency-name: "*"
+        update-types: ["version-update:semver-patch"]
+    open-pull-requests-limit: 1
+    labels:
+      - "test-ui-notebooks"
diff --git a/.github/workflows/dependabot-labeler.yaml b/.github/workflows/dependabot-labeler.yaml
new file mode 100644
index 00000000..86f4ccd9
--- /dev/null
+++ b/.github/workflows/dependabot-labeler.yaml
@@ -0,0 +1,17 @@
+# This workflow file adds the 'lgtm' and 'approved' labels to Dependabot PRs
+# This is done to ensure that the PRs that pass e2e are automatically merged/added to merge-queues by the CodeFlare bot
+name: Dependabot Labeler
+
+on:
+  pull_request:
+
+jobs:
+    add-approve-lgtm-label:
+        if: github.actor == 'dependabot[bot]'
+        runs-on: ubuntu-latest
+        steps:
+            - name: Add approve and lgtm labels to Dependabot PR
+              run: |
+                  gh pr edit ${{ github.event.pull_request.number }} --add-label "lgtm" --add-label "approved"
+              env:
+                GITHUB_TOKEN: ${{ secrets.CODEFLARE_MACHINE_ACCOUNT_TOKEN }}
diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index d216df9d..2899f0a3 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -19,6 +19,7 @@ on:
       - '**.adoc'
       - '**.md'
       - 'LICENSE'
+  merge_group:
 
 concurrency:
   group: ${{ github.head_ref }}-${{ github.workflow }}
diff --git a/.github/workflows/pre-commit.yaml b/.github/workflows/pre-commit.yaml
index 4aa51882..e5c16646 100644
--- a/.github/workflows/pre-commit.yaml
+++ b/.github/workflows/pre-commit.yaml
@@ -7,6 +7,7 @@ on:
       - 'v*'
   pull_request:
   workflow_dispatch:
+  merge_group:
 
 jobs:
   precommit:
diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml
index b7d8ba61..7391bb40 100755
--- a/.github/workflows/unit-tests.yml
+++ b/.github/workflows/unit-tests.yml
@@ -5,6 +5,7 @@ on:
     branches: [ main ]
   pull_request:
     branches: [ main ]
+  merge_group:
 
 jobs:
   unit-tests:

From 0aed8046687c7ae6e34935816b9e5af53a778f6e Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Tue, 22 Oct 2024 10:43:45 +0100
Subject: [PATCH 145/254] Trigger e2e in PR if e2e label is added

---
 .github/dependabot.yml                       | 3 +++
 .github/workflows/dependabot-labeler.yaml    | 2 +-
 .github/workflows/e2e_tests.yaml             | 2 +-
 .github/workflows/guided_notebook_tests.yaml | 3 +--
 .github/workflows/ui_notebooks_test.yaml     | 3 +--
 5 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index 41474098..cc89f631 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -15,6 +15,7 @@ updates:
         update-types: ["version-update:semver-patch"]
     open-pull-requests-limit: 4
     labels:
+      - "dependabot"
       - "test-guided-notebooks"
 
   # pip means poetry in this case, this keeps poetry.lock up to date with constraints in pyproject.toml.
@@ -27,6 +28,7 @@ updates:
         update-types: ["version-update:semver-patch"]
     open-pull-requests-limit: 1
     labels:
+      - "dependabot"
       - "test-guided-notebooks"
 
   # npm means yarn in this case, this keeps yarn.lock up to date with constraints in package.json.
@@ -39,4 +41,5 @@ updates:
         update-types: ["version-update:semver-patch"]
     open-pull-requests-limit: 1
     labels:
+      - "dependabot"
       - "test-ui-notebooks"
diff --git a/.github/workflows/dependabot-labeler.yaml b/.github/workflows/dependabot-labeler.yaml
index 86f4ccd9..e5825f7d 100644
--- a/.github/workflows/dependabot-labeler.yaml
+++ b/.github/workflows/dependabot-labeler.yaml
@@ -7,7 +7,7 @@ on:
 
 jobs:
     add-approve-lgtm-label:
-        if: github.actor == 'dependabot[bot]'
+        if: github.actor == 'dependabot[bot]' && contains(github.event.pull_request.labels.*.name, 'dependabot')
         runs-on: ubuntu-latest
         steps:
             - name: Add approve and lgtm labels to Dependabot PR
diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index 2899f0a3..976be87e 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -30,7 +30,7 @@ env:
 
 jobs:
   kubernetes:
-
+    if: contains(github.event.pull_request.labels.*.name, 'e2e') || github.event_name == 'merge_group'
     runs-on: ubuntu-20.04-4core-gpu
 
     steps:
diff --git a/.github/workflows/guided_notebook_tests.yaml b/.github/workflows/guided_notebook_tests.yaml
index eb6c5cd2..7678ebd1 100644
--- a/.github/workflows/guided_notebook_tests.yaml
+++ b/.github/workflows/guided_notebook_tests.yaml
@@ -2,7 +2,6 @@ name: Guided notebooks tests
 
 on:
   pull_request:
-    types: [ labeled ]
 
 concurrency:
   group: ${{ github.head_ref }}-${{ github.workflow }}
@@ -13,7 +12,7 @@ env:
 
 jobs:
   verify-0_basic_ray:
-    if: ${{ github.event.label.name == 'test-guided-notebooks' }}
+    if: contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks')
     runs-on: ubuntu-20.04-4core
 
     steps:
diff --git a/.github/workflows/ui_notebooks_test.yaml b/.github/workflows/ui_notebooks_test.yaml
index 283486e6..9252c34f 100644
--- a/.github/workflows/ui_notebooks_test.yaml
+++ b/.github/workflows/ui_notebooks_test.yaml
@@ -2,7 +2,6 @@ name: UI notebooks tests
 
 on:
   pull_request:
-    types: [labeled]
 
 concurrency:
   group: ${{ github.head_ref }}-${{ github.workflow }}
@@ -13,7 +12,7 @@ env:
 
 jobs:
   verify-3_widget_example:
-    if: ${{ github.event.label.name == 'test-guided-notebooks' || github.event.label.name == 'test-ui-notebooks'}}
+    if: contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks') || contains(github.event.pull_request.labels.*.name, 'test-ui-notebooks')
     runs-on: ubuntu-20.04-4core
 
     steps:

From 1f9e9bf0965f2b10d81da20517ebb3e0cc62794c Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Wed, 23 Oct 2024 10:06:51 +0100
Subject: [PATCH 146/254] Add workflow types to trigger on label or push events

---
 .github/workflows/dependabot-labeler.yaml    | 12 +++++++++++-
 .github/workflows/e2e_tests.yaml             |  1 +
 .github/workflows/guided_notebook_tests.yaml |  1 +
 .github/workflows/ui_notebooks_test.yaml     |  1 +
 4 files changed, 14 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/dependabot-labeler.yaml b/.github/workflows/dependabot-labeler.yaml
index e5825f7d..69c94617 100644
--- a/.github/workflows/dependabot-labeler.yaml
+++ b/.github/workflows/dependabot-labeler.yaml
@@ -4,12 +4,22 @@ name: Dependabot Labeler
 
 on:
   pull_request:
+    types: [ labeled, synchronize, opened, reopened ]
 
 jobs:
     add-approve-lgtm-label:
-        if: github.actor == 'dependabot[bot]' && contains(github.event.pull_request.labels.*.name, 'dependabot')
+        if: ${{ github.actor == 'dependabot[bot]' && contains(github.event.pull_request.labels.*.name, 'dependabot') }}
         runs-on: ubuntu-latest
+
+        # Permission required to edit a PR
+        permissions:
+          pull-requests: write
+          issues: write
+
         steps:
+            - name: Checkout code
+              uses: actions/checkout@v4
+
             - name: Add approve and lgtm labels to Dependabot PR
               run: |
                   gh pr edit ${{ github.event.pull_request.number }} --add-label "lgtm" --add-label "approved"
diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index 976be87e..2caf8a01 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -2,6 +2,7 @@ name: e2e
 
 on:
   pull_request:
+    types: [ labeled, synchronize, opened, reopened ]
     branches:
       - main
       - 'release-*'
diff --git a/.github/workflows/guided_notebook_tests.yaml b/.github/workflows/guided_notebook_tests.yaml
index 7678ebd1..46979aa9 100644
--- a/.github/workflows/guided_notebook_tests.yaml
+++ b/.github/workflows/guided_notebook_tests.yaml
@@ -2,6 +2,7 @@ name: Guided notebooks tests
 
 on:
   pull_request:
+    types: [ labeled, synchronize, opened, reopened ]
 
 concurrency:
   group: ${{ github.head_ref }}-${{ github.workflow }}
diff --git a/.github/workflows/ui_notebooks_test.yaml b/.github/workflows/ui_notebooks_test.yaml
index 9252c34f..cac6641a 100644
--- a/.github/workflows/ui_notebooks_test.yaml
+++ b/.github/workflows/ui_notebooks_test.yaml
@@ -2,6 +2,7 @@ name: UI notebooks tests
 
 on:
   pull_request:
+    types: [ labeled, synchronize, opened, reopened ]
 
 concurrency:
   group: ${{ github.head_ref }}-${{ github.workflow }}

From 345546e15e561aba730b22a963778e0357f2db3b Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Wed, 23 Oct 2024 15:32:05 +0100
Subject: [PATCH 147/254] fix: update the snapshot to match the latest changes

---
 .../widgets-cell-2-linux.png                  | Bin 33158 -> 42051 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-2-linux.png b/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-2-linux.png
index 6fc76020c35377a8ba64e70a49d07a01e6653795..1fd47fcd29eac28fdebec768f2f32cbd947bcbc9 100644
GIT binary patch
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From 13658b82a7fd1bb1ba656d7e3d9a27a608cd49e4 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Wed, 23 Oct 2024 17:33:20 +0100
Subject: [PATCH 148/254] Test PR Merge Queues

---
 .github/workflows/e2e_tests.yaml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index 2caf8a01..8d2bcaa2 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -1,3 +1,4 @@
+# e2e tests workflow for CodeFlare-SDK
 name: e2e
 
 on:

From 5b805bd61f8e4af1a78f18d5bc9c8cbc3dc92a22 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Thu, 24 Oct 2024 12:15:32 +0100
Subject: [PATCH 149/254] Fix dependabot labeler and workflows

---
 .github/dependabot.yml                       |  2 +-
 .github/workflows/dependabot-labeler.yaml    |  8 ++++----
 .github/workflows/e2e_tests.yaml             | 12 ------------
 .github/workflows/guided_notebook_tests.yaml |  4 ++--
 .github/workflows/pre-commit.yaml            |  6 ------
 .github/workflows/ui_notebooks_test.yaml     |  4 ++--
 .github/workflows/unit-tests.yml             |  3 ---
 7 files changed, 9 insertions(+), 30 deletions(-)

diff --git a/.github/dependabot.yml b/.github/dependabot.yml
index cc89f631..9d2233c4 100644
--- a/.github/dependabot.yml
+++ b/.github/dependabot.yml
@@ -13,7 +13,7 @@ updates:
     ignore:
       - dependency-name: "*"
         update-types: ["version-update:semver-patch"]
-    open-pull-requests-limit: 4
+    open-pull-requests-limit: 1
     labels:
       - "dependabot"
       - "test-guided-notebooks"
diff --git a/.github/workflows/dependabot-labeler.yaml b/.github/workflows/dependabot-labeler.yaml
index 69c94617..f9bd27f9 100644
--- a/.github/workflows/dependabot-labeler.yaml
+++ b/.github/workflows/dependabot-labeler.yaml
@@ -1,10 +1,10 @@
 # This workflow file adds the 'lgtm' and 'approved' labels to Dependabot PRs
-# This is done to ensure that the PRs that pass e2e are automatically merged/added to merge-queues by the CodeFlare bot
+# This is done to ensure that the PRs that pass required status checks are automatically merged by the CodeFlare bot
 name: Dependabot Labeler
 
 on:
-  pull_request:
-    types: [ labeled, synchronize, opened, reopened ]
+  pull_request_target:
+    branches: [ main ]
 
 jobs:
     add-approve-lgtm-label:
@@ -24,4 +24,4 @@ jobs:
               run: |
                   gh pr edit ${{ github.event.pull_request.number }} --add-label "lgtm" --add-label "approved"
               env:
-                GITHUB_TOKEN: ${{ secrets.CODEFLARE_MACHINE_ACCOUNT_TOKEN }}
+                GITHUB_TOKEN: ${{ secrets.GH_CLI_TOKEN }}
diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index 8d2bcaa2..7c461282 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -3,7 +3,6 @@ name: e2e
 
 on:
   pull_request:
-    types: [ labeled, synchronize, opened, reopened ]
     branches:
       - main
       - 'release-*'
@@ -12,16 +11,6 @@ on:
       - '**.adoc'
       - '**.md'
       - 'LICENSE'
-  push:
-    branches:
-      - main
-      - 'release-*'
-    paths-ignore:
-      - 'docs/**'
-      - '**.adoc'
-      - '**.md'
-      - 'LICENSE'
-  merge_group:
 
 concurrency:
   group: ${{ github.head_ref }}-${{ github.workflow }}
@@ -32,7 +21,6 @@ env:
 
 jobs:
   kubernetes:
-    if: contains(github.event.pull_request.labels.*.name, 'e2e') || github.event_name == 'merge_group'
     runs-on: ubuntu-20.04-4core-gpu
 
     steps:
diff --git a/.github/workflows/guided_notebook_tests.yaml b/.github/workflows/guided_notebook_tests.yaml
index 46979aa9..466c81aa 100644
--- a/.github/workflows/guided_notebook_tests.yaml
+++ b/.github/workflows/guided_notebook_tests.yaml
@@ -2,7 +2,7 @@ name: Guided notebooks tests
 
 on:
   pull_request:
-    types: [ labeled, synchronize, opened, reopened ]
+    branches: [ main ]
 
 concurrency:
   group: ${{ github.head_ref }}-${{ github.workflow }}
@@ -13,7 +13,7 @@ env:
 
 jobs:
   verify-0_basic_ray:
-    if: contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks')
+    if: ${{ contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks') }}
     runs-on: ubuntu-20.04-4core
 
     steps:
diff --git a/.github/workflows/pre-commit.yaml b/.github/workflows/pre-commit.yaml
index e5c16646..1575a654 100644
--- a/.github/workflows/pre-commit.yaml
+++ b/.github/workflows/pre-commit.yaml
@@ -1,13 +1,7 @@
 name: Pre-commit
 on:
-  push:
-    branches:
-      - '**'
-    tags-ignore:
-      - 'v*'
   pull_request:
   workflow_dispatch:
-  merge_group:
 
 jobs:
   precommit:
diff --git a/.github/workflows/ui_notebooks_test.yaml b/.github/workflows/ui_notebooks_test.yaml
index cac6641a..28f7e06c 100644
--- a/.github/workflows/ui_notebooks_test.yaml
+++ b/.github/workflows/ui_notebooks_test.yaml
@@ -2,7 +2,7 @@ name: UI notebooks tests
 
 on:
   pull_request:
-    types: [ labeled, synchronize, opened, reopened ]
+    branches: [ main ]
 
 concurrency:
   group: ${{ github.head_ref }}-${{ github.workflow }}
@@ -13,7 +13,7 @@ env:
 
 jobs:
   verify-3_widget_example:
-    if: contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks') || contains(github.event.pull_request.labels.*.name, 'test-ui-notebooks')
+    if: ${{ contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks') || contains(github.event.pull_request.labels.*.name, 'test-ui-notebooks') }}
     runs-on: ubuntu-20.04-4core
 
     steps:
diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml
index 7391bb40..8b7a3a37 100755
--- a/.github/workflows/unit-tests.yml
+++ b/.github/workflows/unit-tests.yml
@@ -1,11 +1,8 @@
 name: Python Tests
 
 on:
-  push:
-    branches: [ main ]
   pull_request:
     branches: [ main ]
-  merge_group:
 
 jobs:
   unit-tests:

From 47d41aeb4580b3c077743b0fd8613589d7b4ce90 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Tue, 29 Oct 2024 07:44:32 +0000
Subject: [PATCH 150/254] Bump @playwright/test from 1.47.0 to 1.48.2 in
 /ui-tests

Bumps [@playwright/test](https://github.com/microsoft/playwright) from 1.47.0 to 1.48.2.
- [Release notes](https://github.com/microsoft/playwright/releases)
- [Commits](https://github.com/microsoft/playwright/compare/v1.47.0...v1.48.2)

---
updated-dependencies:
- dependency-name: "@playwright/test"
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] 
---
 ui-tests/package.json |  2 +-
 ui-tests/yarn.lock    | 28 ++++++++++++++--------------
 2 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/ui-tests/package.json b/ui-tests/package.json
index 17b79185..cd6d230e 100644
--- a/ui-tests/package.json
+++ b/ui-tests/package.json
@@ -16,7 +16,7 @@
   "license": "BSD-3-Clause",
   "devDependencies": {
     "@jupyterlab/galata": "^5.0.1",
-    "@playwright/test": "^1.32.0",
+    "@playwright/test": "^1.48.2",
     "yarn-deduplicate": "^6.0.1"
   }
 }
diff --git a/ui-tests/yarn.lock b/ui-tests/yarn.lock
index 8084fe3d..f0b1fbc2 100644
--- a/ui-tests/yarn.lock
+++ b/ui-tests/yarn.lock
@@ -1151,12 +1151,12 @@
   dependencies:
     exenv-es6 "^1.1.1"
 
-"@playwright/test@^1.32.0", "@playwright/test@^1.43.1":
-  version "1.47.0"
-  resolved "https://registry.npmjs.org/@playwright/test/-/test-1.47.0.tgz#69fc55b10754147cc20021afbfa05747d4961bf0"
-  integrity sha512-SgAdlSwYVpToI4e/IH19IHHWvoijAYH5hu2MWSXptRypLSnzj51PcGD+rsOXFayde4P9ZLi+loXVwArg6IUkCA==
+"@playwright/test@^1.43.1", "@playwright/test@^1.48.2":
+  version "1.48.2"
+  resolved "https://registry.npmjs.org/@playwright/test/-/test-1.48.2.tgz#87dd40633f980872283404c8142a65744d3f13d6"
+  integrity sha512-54w1xCWfXuax7dz4W2M9uw0gDyh+ti/0K/MxcCUxChFh37kkdxPdfZDw5QBbuPUJHr1CiHJ1hXgSs+GgeQc5Zw==
   dependencies:
-    playwright "1.47.0"
+    playwright "1.48.2"
 
 "@rjsf/core@^5.13.4":
   version "5.21.0"
@@ -2079,17 +2079,17 @@ picocolors@^1.0.1:
   resolved "https://registry.npmjs.org/picocolors/-/picocolors-1.1.0.tgz#5358b76a78cde483ba5cef6a9dc9671440b27d59"
   integrity sha512-TQ92mBOW0l3LeMeyLV6mzy/kWr8lkd/hp3mTg7wYK7zJhuBStmGMBG0BdeDZS/dZx1IukaX6Bk11zcln25o1Aw==
 
-playwright-core@1.47.0:
-  version "1.47.0"
-  resolved "https://registry.npmjs.org/playwright-core/-/playwright-core-1.47.0.tgz#b54ec060fd83e5c2e46b63986b5ebb5e96ace427"
-  integrity sha512-1DyHT8OqkcfCkYUD9zzUTfg7EfTd+6a8MkD/NWOvjo0u/SCNd5YmY/lJwFvUZOxJbWNds+ei7ic2+R/cRz/PDg==
+playwright-core@1.48.2:
+  version "1.48.2"
+  resolved "https://registry.npmjs.org/playwright-core/-/playwright-core-1.48.2.tgz#cd76ed8af61690edef5c05c64721c26a8db2f3d7"
+  integrity sha512-sjjw+qrLFlriJo64du+EK0kJgZzoQPsabGF4lBvsid+3CNIZIYLgnMj9V6JY5VhM2Peh20DJWIVpVljLLnlawA==
 
-playwright@1.47.0:
-  version "1.47.0"
-  resolved "https://registry.npmjs.org/playwright/-/playwright-1.47.0.tgz#fb9b028883fad11362f9ff63ce7ba44bda0bf626"
-  integrity sha512-jOWiRq2pdNAX/mwLiwFYnPHpEZ4rM+fRSQpRHwEwZlP2PUANvL3+aJOF/bvISMhFD30rqMxUB4RJx9aQbfh4Ww==
+playwright@1.48.2:
+  version "1.48.2"
+  resolved "https://registry.npmjs.org/playwright/-/playwright-1.48.2.tgz#fca45ae8abdc34835c715718072aaff7e305167e"
+  integrity sha512-NjYvYgp4BPmiwfe31j4gHLa3J7bD2WiBz8Lk2RoSsmX38SVIARZ18VYjxLjAcDsAhA+F4iSEXTSGgjua0rrlgQ==
   dependencies:
-    playwright-core "1.47.0"
+    playwright-core "1.48.2"
   optionalDependencies:
     fsevents "2.3.2"
 

From 6c0005aa5ca2111916dc3906e1714cef46032946 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Tue, 29 Oct 2024 09:12:15 +0000
Subject: [PATCH 151/254] Update conditional statements in
 guided_notebook_tests.yaml

---
 .github/workflows/guided_notebook_tests.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/guided_notebook_tests.yaml b/.github/workflows/guided_notebook_tests.yaml
index 466c81aa..7a77d5a3 100644
--- a/.github/workflows/guided_notebook_tests.yaml
+++ b/.github/workflows/guided_notebook_tests.yaml
@@ -124,7 +124,7 @@ jobs:
             ${{ env.TEMP_DIR }}/**/*.log
 
   verify-1_cluster_job_client:
-    if: ${{ github.event.label.name == 'test-guided-notebooks' }}
+    if: ${{ contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks') }}
     runs-on: ubuntu-20.04-4core-gpu
 
     steps:
@@ -246,7 +246,7 @@ jobs:
             ${{ env.TEMP_DIR }}/**/*.log
 
   verify-2_basic_interactive:
-    if: ${{ github.event.label.name == 'test-guided-notebooks' }}
+    if: ${{ contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks') }}
     runs-on: ubuntu-20.04-4core-gpu
 
     steps:

From 71e067b8274c2f0fff1ca8d646135fc1f038287c Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Tue, 29 Oct 2024 09:49:30 +0000
Subject: [PATCH 152/254] Bump torchmetrics from 0.9.1 to 1.5.1 in
 /demo-notebooks/guided-demos

Bumps [torchmetrics](https://github.com/Lightning-AI/torchmetrics) from 0.9.1 to 1.5.1.
- [Release notes](https://github.com/Lightning-AI/torchmetrics/releases)
- [Changelog](https://github.com/Lightning-AI/torchmetrics/blob/master/CHANGELOG.md)
- [Commits](https://github.com/Lightning-AI/torchmetrics/compare/v0.9.1...v1.5.1)

---
updated-dependencies:
- dependency-name: torchmetrics
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] 
---
 .../guided-demos/notebook-ex-outputs/requirements.txt           | 2 +-
 demo-notebooks/guided-demos/preview_nbs/requirements.txt        | 2 +-
 demo-notebooks/guided-demos/requirements.txt                    | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
index e77d612b..6649bb8a 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
@@ -1,4 +1,4 @@
 pytorch_lightning==1.9.5
 ray_lightning
-torchmetrics==0.9.1
+torchmetrics==1.5.1
 torchvision==0.12.0
diff --git a/demo-notebooks/guided-demos/preview_nbs/requirements.txt b/demo-notebooks/guided-demos/preview_nbs/requirements.txt
index e77d612b..6649bb8a 100644
--- a/demo-notebooks/guided-demos/preview_nbs/requirements.txt
+++ b/demo-notebooks/guided-demos/preview_nbs/requirements.txt
@@ -1,4 +1,4 @@
 pytorch_lightning==1.9.5
 ray_lightning
-torchmetrics==0.9.1
+torchmetrics==1.5.1
 torchvision==0.12.0
diff --git a/demo-notebooks/guided-demos/requirements.txt b/demo-notebooks/guided-demos/requirements.txt
index af1bb36b..489e027b 100644
--- a/demo-notebooks/guided-demos/requirements.txt
+++ b/demo-notebooks/guided-demos/requirements.txt
@@ -1,4 +1,4 @@
 pytorch_lightning==2.2.5
 ray_lightning
-torchmetrics==1.4.0
+torchmetrics==1.5.1
 torchvision==0.18.0

From acd29a3e167277a3138080daf78051d40255f624 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Tue, 29 Oct 2024 10:48:23 +0000
Subject: [PATCH 153/254] Bump pytorch-lightning in
 /demo-notebooks/guided-demos

Bumps [pytorch-lightning](https://github.com/Lightning-AI/lightning) from 1.9.5 to 2.4.0.
- [Release notes](https://github.com/Lightning-AI/lightning/releases)
- [Commits](https://github.com/Lightning-AI/lightning/compare/1.9.5...2.4.0)

---
updated-dependencies:
- dependency-name: pytorch-lightning
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] 
---
 .../guided-demos/notebook-ex-outputs/requirements.txt           | 2 +-
 demo-notebooks/guided-demos/preview_nbs/requirements.txt        | 2 +-
 demo-notebooks/guided-demos/requirements.txt                    | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
index 6649bb8a..dd83de8a 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
@@ -1,4 +1,4 @@
-pytorch_lightning==1.9.5
+pytorch_lightning==2.4.0
 ray_lightning
 torchmetrics==1.5.1
 torchvision==0.12.0
diff --git a/demo-notebooks/guided-demos/preview_nbs/requirements.txt b/demo-notebooks/guided-demos/preview_nbs/requirements.txt
index 6649bb8a..dd83de8a 100644
--- a/demo-notebooks/guided-demos/preview_nbs/requirements.txt
+++ b/demo-notebooks/guided-demos/preview_nbs/requirements.txt
@@ -1,4 +1,4 @@
-pytorch_lightning==1.9.5
+pytorch_lightning==2.4.0
 ray_lightning
 torchmetrics==1.5.1
 torchvision==0.12.0
diff --git a/demo-notebooks/guided-demos/requirements.txt b/demo-notebooks/guided-demos/requirements.txt
index 489e027b..4d2111c0 100644
--- a/demo-notebooks/guided-demos/requirements.txt
+++ b/demo-notebooks/guided-demos/requirements.txt
@@ -1,4 +1,4 @@
-pytorch_lightning==2.2.5
+pytorch_lightning==2.4.0
 ray_lightning
 torchmetrics==1.5.1
 torchvision==0.18.0

From 26d24f2edff4aa8b09ee09a175fded79c9d623c2 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Tue, 29 Oct 2024 14:41:05 +0000
Subject: [PATCH 154/254] Bump coverage from 7.2.7 to 7.6.4

Bumps [coverage](https://github.com/nedbat/coveragepy) from 7.2.7 to 7.6.4.
- [Release notes](https://github.com/nedbat/coveragepy/releases)
- [Changelog](https://github.com/nedbat/coveragepy/blob/master/CHANGES.rst)
- [Commits](https://github.com/nedbat/coveragepy/compare/7.2.7...7.6.4)

---
updated-dependencies:
- dependency-name: coverage
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] 
---
 poetry.lock    | 128 +++++++++++++++++++++++++------------------------
 pyproject.toml |   2 +-
 2 files changed, 66 insertions(+), 64 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 5c4ce93f..1fb76311 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -698,71 +698,73 @@ test = ["flake8 (==3.7.8)", "hypothesis (==3.55.3)"]
 
 [[package]]
 name = "coverage"
-version = "7.2.7"
+version = "7.6.4"
 description = "Code coverage measurement for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
-    {file = "coverage-7.2.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d39b5b4f2a66ccae8b7263ac3c8170994b65266797fb96cbbfd3fb5b23921db8"},
-    {file = "coverage-7.2.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6d040ef7c9859bb11dfeb056ff5b3872436e3b5e401817d87a31e1750b9ae2fb"},
-    {file = "coverage-7.2.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba90a9563ba44a72fda2e85302c3abc71c5589cea608ca16c22b9804262aaeb6"},
-    {file = "coverage-7.2.7-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e7d9405291c6928619403db1d10bd07888888ec1abcbd9748fdaa971d7d661b2"},
-    {file = "coverage-7.2.7-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:31563e97dae5598556600466ad9beea39fb04e0229e61c12eaa206e0aa202063"},
-    {file = "coverage-7.2.7-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:ebba1cd308ef115925421d3e6a586e655ca5a77b5bf41e02eb0e4562a111f2d1"},
-    {file = "coverage-7.2.7-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:cb017fd1b2603ef59e374ba2063f593abe0fc45f2ad9abdde5b4d83bd922a353"},
-    {file = "coverage-7.2.7-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:d62a5c7dad11015c66fbb9d881bc4caa5b12f16292f857842d9d1871595f4495"},
-    {file = "coverage-7.2.7-cp310-cp310-win32.whl", hash = "sha256:ee57190f24fba796e36bb6d3aa8a8783c643d8fa9760c89f7a98ab5455fbf818"},
-    {file = "coverage-7.2.7-cp310-cp310-win_amd64.whl", hash = "sha256:f75f7168ab25dd93110c8a8117a22450c19976afbc44234cbf71481094c1b850"},
-    {file = "coverage-7.2.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:06a9a2be0b5b576c3f18f1a241f0473575c4a26021b52b2a85263a00f034d51f"},
-    {file = "coverage-7.2.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5baa06420f837184130752b7c5ea0808762083bf3487b5038d68b012e5937dbe"},
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-    {file = "coverage-7.2.7-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63426706118b7f5cf6bb6c895dc215d8a418d5952544042c8a2d9fe87fcf09cb"},
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-    {file = "coverage-7.2.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a342242fe22407f3c17f4b499276a02b01e80f861f1682ad1d95b04018e0c0d4"},
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 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "4463099e8d145fd823f523b134f18d48766038cc3d2ad466864e5a2debcc3479"
+content-hash = "22e59cce1130d5186c8fac0c3cae42381d12db5a7b1310e10cf187199898ff8d"
diff --git a/pyproject.toml b/pyproject.toml
index 17b59880..b4fbbda0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -42,7 +42,7 @@ optional = true
 
 [tool.poetry.group.test.dependencies]
 pytest = "7.4.0"
-coverage = "7.2.7"
+coverage = "7.6.4"
 pytest-mock = "3.11.1"
 pytest-timeout = "2.3.1"
 jupyterlab = "4.2.5"

From e4b13fc04800278fdfff2b638c993848aa7e75f0 Mon Sep 17 00:00:00 2001
From: Kevin 
Date: Tue, 29 Oct 2024 14:04:40 -0400
Subject: [PATCH 155/254] codecov wasn't being updated on main

Signed-off-by: Kevin 
---
 .github/workflows/unit-tests.yml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml
index 8b7a3a37..34327533 100755
--- a/.github/workflows/unit-tests.yml
+++ b/.github/workflows/unit-tests.yml
@@ -3,6 +3,8 @@ name: Python Tests
 on:
   pull_request:
     branches: [ main ]
+  push:
+    branches: [ main ]
 
 jobs:
   unit-tests:

From 62cd27be350f6e59708f0e814f5b9f8eda18a77f Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Thu, 17 Oct 2024 13:03:47 +0100
Subject: [PATCH 156/254] e2e test for heterogenous cluster

---
 .github/workflows/e2e_tests.yaml              |   4 +
 tests/e2e/heterogeneous_clusters_kind_test.py |  74 +++++++++
 .../e2e/heterogeneous_clusters_oauth_test.py  |  77 ++++++++++
 tests/e2e/support.py                          | 143 ++++++++++++++----
 4 files changed, 265 insertions(+), 33 deletions(-)
 create mode 100644 tests/e2e/heterogeneous_clusters_kind_test.py
 create mode 100644 tests/e2e/heterogeneous_clusters_oauth_test.py

diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index 7c461282..fea42ab6 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -64,6 +64,8 @@ jobs:
 
       - name: Setup and start KinD cluster
         uses: ./common/github-actions/kind
+        with:
+          worker-nodes: 1
 
       - name: Install NVidia GPU operator for KinD
         uses: ./common/github-actions/nvidia-gpu-operator
@@ -102,6 +104,8 @@ jobs:
           kubectl create clusterrolebinding sdk-user-localqueue-creator --clusterrole=localqueue-creator --user=sdk-user
           kubectl create clusterrole list-secrets --verb=get,list --resource=secrets
           kubectl create clusterrolebinding sdk-user-list-secrets --clusterrole=list-secrets --user=sdk-user
+          kubectl create clusterrole pod-creator --verb=get,list --resource=pods
+          kubectl create clusterrolebinding sdk-user-pod-creator --clusterrole=pod-creator --user=sdk-user
           kubectl config use-context sdk-user
 
       - name: Run e2e tests
diff --git a/tests/e2e/heterogeneous_clusters_kind_test.py b/tests/e2e/heterogeneous_clusters_kind_test.py
new file mode 100644
index 00000000..8f814a7c
--- /dev/null
+++ b/tests/e2e/heterogeneous_clusters_kind_test.py
@@ -0,0 +1,74 @@
+from time import sleep
+import time
+from codeflare_sdk import (
+    Cluster,
+    ClusterConfiguration,
+)
+
+from codeflare_sdk.common.kueue.kueue import list_local_queues
+
+import pytest
+
+from support import *
+
+
+@pytest.mark.skip(reason="Skipping heterogenous cluster kind test")
+@pytest.mark.kind
+class TestHeterogeneousClustersKind:
+    def setup_method(self):
+        initialize_kubernetes_client(self)
+
+    def teardown_method(self):
+        delete_namespace(self)
+        delete_kueue_resources(self)
+
+    @pytest.mark.nvidia_gpu
+    def test_heterogeneous_clusters(self):
+        create_namespace(self)
+        create_kueue_resources(self, 2)
+        self.run_heterogeneous_clusters()
+
+    def run_heterogeneous_clusters(
+        self, gpu_resource_name="nvidia.com/gpu", number_of_gpus=0
+    ):
+        for flavor in self.resource_flavors:
+            node_labels = (
+                get_flavor_spec(self, flavor).get("spec", {}).get("nodeLabels", {})
+            )
+            expected_nodes = get_nodes_by_label(self, node_labels)
+
+            print(f"Expected nodes: {expected_nodes}")
+            cluster_name = f"test-ray-cluster-li-{flavor[-5:]}"
+            queues = list_local_queues(namespace=self.namespace, flavors=[flavor])
+            queue_name = queues[0]["name"] if queues else None
+            print(f"Using flavor: {flavor}, Queue: {queue_name}")
+            cluster = Cluster(
+                ClusterConfiguration(
+                    name=cluster_name,
+                    namespace=self.namespace,
+                    num_workers=1,
+                    head_cpu_requests="500m",
+                    head_cpu_limits="500m",
+                    head_memory_requests=2,
+                    head_memory_limits=2,
+                    worker_cpu_requests="500m",
+                    worker_cpu_limits=1,
+                    worker_memory_requests=1,
+                    worker_memory_limits=4,
+                    worker_extended_resource_requests={
+                        gpu_resource_name: number_of_gpus
+                    },
+                    write_to_file=True,
+                    verify_tls=False,
+                    local_queue=queue_name,
+                )
+            )
+            cluster.up()
+            sleep(5)
+            node_name = get_pod_node(self, self.namespace, cluster_name)
+            print(f"Cluster {cluster_name}-{flavor} is running on node: {node_name}")
+            sleep(5)
+            assert (
+                node_name in expected_nodes
+            ), f"Node {node_name} is not in the expected nodes for flavor {flavor}."
+            cluster.down()
diff --git a/tests/e2e/heterogeneous_clusters_oauth_test.py b/tests/e2e/heterogeneous_clusters_oauth_test.py
new file mode 100644
index 00000000..4a7a687c
--- /dev/null
+++ b/tests/e2e/heterogeneous_clusters_oauth_test.py
@@ -0,0 +1,77 @@
+from time import sleep
+import time
+from codeflare_sdk import (
+    Cluster,
+    ClusterConfiguration,
+    TokenAuthentication,
+)
+
+from codeflare_sdk.common.kueue.kueue import list_local_queues
+
+import pytest
+
+from support import *
+
+
+@pytest.mark.openshift
+class TestHeterogeneousClustersOauth:
+    def setup_method(self):
+        initialize_kubernetes_client(self)
+
+    def teardown_method(self):
+        delete_namespace(self)
+        delete_kueue_resources(self)
+
+    def test_heterogeneous_clusters(self):
+        create_namespace(self)
+        create_kueue_resources(self, 2)
+        self.run_heterogeneous_clusters()
+
+    def run_heterogeneous_clusters(
+        self, gpu_resource_name="nvidia.com/gpu", number_of_gpus=0
+    ):
+        ray_image = get_ray_image()
+
+        auth = TokenAuthentication(
+            token=run_oc_command(["whoami", "--show-token=true"]),
+            server=run_oc_command(["whoami", "--show-server=true"]),
+            skip_tls=True,
+        )
+        auth.login()
+
+        for flavor in self.resource_flavors:
+            node_labels = (
+                get_flavor_spec(self, flavor).get("spec", {}).get("nodeLabels", {})
+            )
+            expected_nodes = get_nodes_by_label(self, node_labels)
+
+            print(f"Expected nodes: {expected_nodes}")
+            cluster_name = f"test-ray-cluster-li-{flavor[-5:]}"
+            queues = list_local_queues(namespace=self.namespace, flavors=[flavor])
+            queue_name = queues[0]["name"] if queues else None
+            print(f"Using flavor: {flavor}, Queue: {queue_name}")
+            cluster = Cluster(
+                ClusterConfiguration(
+                    namespace=self.namespace,
+                    name=cluster_name,
+                    num_workers=1,
+                    head_cpu_requests="500m",
+                    head_cpu_limits="500m",
+                    worker_cpu_requests="500m",
+                    worker_cpu_limits=1,
+                    worker_memory_requests=1,
+                    worker_memory_limits=4,
+                    image=ray_image,
+                    verify_tls=False,
+                    local_queue=queue_name,
+                )
+            )
+            cluster.up()
+            sleep(5)
+            node_name = get_pod_node(self, self.namespace, cluster_name)
+            print(f"Cluster {cluster_name}-{flavor} is running on node: {node_name}")
+            sleep(5)
+            assert (
+                node_name in expected_nodes
+            ), f"Node {node_name} is not in the expected nodes for flavor {flavor}."
+            cluster.down()
diff --git a/tests/e2e/support.py b/tests/e2e/support.py
index 6fdd03af..60488466 100644
--- a/tests/e2e/support.py
+++ b/tests/e2e/support.py
@@ -1,3 +1,4 @@
+import json
 import os
 import random
 import string
@@ -65,19 +66,30 @@ def create_namespace(self):
         return RuntimeError(e)
 
 
-def create_new_resource_flavor(self):
-    self.resource_flavor = f"test-resource-flavor-{random_choice()}"
-    create_resource_flavor(self, self.resource_flavor)
+def create_new_resource_flavor(self, num_flavors):
+    self.resource_flavors = []
+    for i in range(num_flavors):
+        default = i < 1
+        resource_flavor = f"test-resource-flavor-{random_choice()}"
+        create_resource_flavor(self, resource_flavor, default)
+        self.resource_flavors.append(resource_flavor)
 
 
-def create_new_cluster_queue(self):
-    self.cluster_queue = f"test-cluster-queue-{random_choice()}"
-    create_cluster_queue(self, self.cluster_queue, self.resource_flavor)
+def create_new_cluster_queue(self, num_queues):
+    self.cluster_queues = []
+    for i in range(num_queues):
+        cluster_queue_name = f"test-cluster-queue-{random_choice()}"
+        create_cluster_queue(self, cluster_queue_name, self.resource_flavors[i])
+        self.cluster_queues.append(cluster_queue_name)
 
 
-def create_new_local_queue(self):
-    self.local_queue = f"test-local-queue-{random_choice()}"
-    create_local_queue(self, self.cluster_queue, self.local_queue)
+def create_new_local_queue(self, num_queues):
+    self.local_queues = []
+    for i in range(num_queues):
+        is_default = i == 0
+        local_queue_name = f"test-local-queue-{random_choice()}"
+        create_local_queue(self, self.cluster_queues[i], local_queue_name, is_default)
+        self.local_queues.append(local_queue_name)
 
 
 def create_namespace_with_name(self, namespace_name):
@@ -132,7 +144,7 @@ def create_cluster_queue(self, cluster_queue, flavor):
                                 {"name": "memory", "nominalQuota": "36Gi"},
                                 {"name": "nvidia.com/gpu", "nominalQuota": 1},
                             ],
-                        }
+                        },
                     ],
                 }
             ],
@@ -161,11 +173,33 @@ def create_cluster_queue(self, cluster_queue, flavor):
     self.cluster_queue = cluster_queue
 
 
-def create_resource_flavor(self, flavor):
+def create_resource_flavor(self, flavor, default=True):
+    worker_label, worker_value = os.getenv("WORKER_LABEL", "worker-1=true").split("=")
+    control_label, control_value = os.getenv(
+        "CONTROL_LABEL", "ingress-ready=true"
+    ).split("=")
+    toleration_key = os.getenv(
+        "TOLERATION_KEY", "node-role.kubernetes.io/control-plane"
+    )
+
+    node_labels = (
+        {worker_label: worker_value} if default else {control_label: control_value}
+    )
+
     resource_flavor_json = {
         "apiVersion": "kueue.x-k8s.io/v1beta1",
         "kind": "ResourceFlavor",
         "metadata": {"name": flavor},
+        "spec": {
+            "nodeLabels": node_labels,
+            "tolerations": [
+                {
+                    "key": toleration_key,
+                    "operator": "Exists",
+                    "effect": "NoSchedule",
+                }
+            ],
+        },
     }
 
     try:
@@ -190,14 +224,14 @@ def create_resource_flavor(self, flavor):
     self.resource_flavor = flavor
 
 
-def create_local_queue(self, cluster_queue, local_queue):
+def create_local_queue(self, cluster_queue, local_queue, is_default=True):
     local_queue_json = {
         "apiVersion": "kueue.x-k8s.io/v1beta1",
         "kind": "LocalQueue",
         "metadata": {
             "namespace": self.namespace,
             "name": local_queue,
-            "annotations": {"kueue.x-k8s.io/default-queue": "true"},
+            "annotations": {"kueue.x-k8s.io/default-queue": str(is_default).lower()},
         },
         "spec": {"clusterQueue": cluster_queue},
     }
@@ -226,34 +260,77 @@ def create_local_queue(self, cluster_queue, local_queue):
     self.local_queue = local_queue
 
 
-def create_kueue_resources(self):
+def create_kueue_resources(self, resource_ammount=1):
     print("creating Kueue resources ...")
-    create_new_resource_flavor(self)
-    create_new_cluster_queue(self)
-    create_new_local_queue(self)
+    create_new_resource_flavor(self, resource_ammount)
+    create_new_cluster_queue(self, resource_ammount)
+    create_new_local_queue(self, resource_ammount)
 
 
 def delete_kueue_resources(self):
     # Delete if given cluster-queue exists
-    try:
-        self.custom_api.delete_cluster_custom_object(
-            group="kueue.x-k8s.io",
-            plural="clusterqueues",
-            version="v1beta1",
-            name=self.cluster_queue,
-        )
-        print(f"\n'{self.cluster_queue}' cluster-queue deleted")
-    except Exception as e:
-        print(f"\nError deleting cluster-queue '{self.cluster_queue}' : {e}")
+    for cq in self.cluster_queues:
+        try:
+            self.custom_api.delete_cluster_custom_object(
+                group="kueue.x-k8s.io",
+                plural="clusterqueues",
+                version="v1beta1",
+                name=cq,
+            )
+            print(f"\n'{cq}' cluster-queue deleted")
+        except Exception as e:
+            print(f"\nError deleting cluster-queue '{cq}' : {e}")
 
     # Delete if given resource-flavor exists
+    for flavor in self.resource_flavors:
+        try:
+            self.custom_api.delete_cluster_custom_object(
+                group="kueue.x-k8s.io",
+                plural="resourceflavors",
+                version="v1beta1",
+                name=flavor,
+            )
+            print(f"'{flavor}' resource-flavor deleted")
+        except Exception as e:
+            print(f"\nError deleting resource-flavor '{flavor}': {e}")
+
+
+def get_pod_node(self, namespace, name):
+    label_selector = f"ray.io/cluster={name}"
+    pods = self.api_instance.list_namespaced_pod(
+        namespace, label_selector=label_selector
+    )
+    if not pods.items:
+        raise ValueError(
+            f"Unable to retrieve node name for pod '{name}' in namespace '{namespace}'"
+        )
+    pod = pods.items[0]
+    node_name = pod.spec.node_name
+    if node_name is None:
+        raise ValueError(
+            f"No node selected for pod '{name}' in namespace '{namespace}'"
+        )
+    return node_name
+
+
+def get_flavor_spec(self, flavor_name):
     try:
-        self.custom_api.delete_cluster_custom_object(
+        flavor = self.custom_api.get_cluster_custom_object(
             group="kueue.x-k8s.io",
-            plural="resourceflavors",
             version="v1beta1",
-            name=self.resource_flavor,
+            plural="resourceflavors",
+            name=flavor_name,
         )
-        print(f"'{self.resource_flavor}' resource-flavor deleted")
-    except Exception as e:
-        print(f"\nError deleting resource-flavor '{self.resource_flavor}' : {e}")
+        return flavor
+    except client.exceptions.ApiException as e:
+        if e.status == 404:
+            print(f"ResourceFlavor '{flavor_name}' not found.")
+        else:
+            print(f"Error retrieving ResourceFlavor '{flavor_name}': {e}")
+        raise
+
+
+def get_nodes_by_label(self, node_labels):
+    label_selector = ",".join(f"{k}={v}" for k, v in node_labels.items())
+    nodes = self.api_instance.list_node(label_selector=label_selector)
+    return [node.metadata.name for node in nodes.items]

From 6f75e20bf7ebfdf0d85330027f674c54d57e37d6 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 30 Oct 2024 12:02:32 +0000
Subject: [PATCH 157/254] Bump cryptography from 40.0.2 to 43.0.3

Bumps [cryptography](https://github.com/pyca/cryptography) from 40.0.2 to 43.0.3.
- [Changelog](https://github.com/pyca/cryptography/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/pyca/cryptography/compare/40.0.2...43.0.3)

---
updated-dependencies:
- dependency-name: cryptography
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] 
---
 poetry.lock    | 64 ++++++++++++++++++++++++++++----------------------
 pyproject.toml |  2 +-
 2 files changed, 37 insertions(+), 29 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 1fb76311..d1601c13 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -772,44 +772,52 @@ toml = ["tomli"]
 
 [[package]]
 name = "cryptography"
-version = "40.0.2"
+version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "cryptography-40.0.2-cp36-abi3-macosx_10_12_universal2.whl", hash = "sha256:8f79b5ff5ad9d3218afb1e7e20ea74da5f76943ee5edb7f76e56ec5161ec782b"},
-    {file = "cryptography-40.0.2-cp36-abi3-macosx_10_12_x86_64.whl", hash = "sha256:05dc219433b14046c476f6f09d7636b92a1c3e5808b9a6536adf4932b3b2c440"},
-    {file = "cryptography-40.0.2-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4df2af28d7bedc84fe45bd49bc35d710aede676e2a4cb7fc6d103a2adc8afe4d"},
-    {file = "cryptography-40.0.2-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0dcca15d3a19a66e63662dc8d30f8036b07be851a8680eda92d079868f106288"},
-    {file = "cryptography-40.0.2-cp36-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:a04386fb7bc85fab9cd51b6308633a3c271e3d0d3eae917eebab2fac6219b6d2"},
-    {file = "cryptography-40.0.2-cp36-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:adc0d980fd2760c9e5de537c28935cc32b9353baaf28e0814df417619c6c8c3b"},
-    {file = "cryptography-40.0.2-cp36-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:d5a1bd0e9e2031465761dfa920c16b0065ad77321d8a8c1f5ee331021fda65e9"},
-    {file = "cryptography-40.0.2-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:a95f4802d49faa6a674242e25bfeea6fc2acd915b5e5e29ac90a32b1139cae1c"},
-    {file = "cryptography-40.0.2-cp36-abi3-win32.whl", hash = "sha256:aecbb1592b0188e030cb01f82d12556cf72e218280f621deed7d806afd2113f9"},
-    {file = "cryptography-40.0.2-cp36-abi3-win_amd64.whl", hash = "sha256:b12794f01d4cacfbd3177b9042198f3af1c856eedd0a98f10f141385c809a14b"},
-    {file = "cryptography-40.0.2-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:142bae539ef28a1c76794cca7f49729e7c54423f615cfd9b0b1fa90ebe53244b"},
-    {file = "cryptography-40.0.2-pp38-pypy38_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:956ba8701b4ffe91ba59665ed170a2ebbdc6fc0e40de5f6059195d9f2b33ca0e"},
-    {file = "cryptography-40.0.2-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:4f01c9863da784558165f5d4d916093737a75203a5c5286fde60e503e4276c7a"},
-    {file = "cryptography-40.0.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:3daf9b114213f8ba460b829a02896789751626a2a4e7a43a28ee77c04b5e4958"},
-    {file = "cryptography-40.0.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:48f388d0d153350f378c7f7b41497a54ff1513c816bcbbcafe5b829e59b9ce5b"},
-    {file = "cryptography-40.0.2-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:c0764e72b36a3dc065c155e5b22f93df465da9c39af65516fe04ed3c68c92636"},
-    {file = "cryptography-40.0.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:cbaba590180cba88cb99a5f76f90808a624f18b169b90a4abb40c1fd8c19420e"},
-    {file = "cryptography-40.0.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7a38250f433cd41df7fcb763caa3ee9362777fdb4dc642b9a349721d2bf47404"},
-    {file = "cryptography-40.0.2.tar.gz", hash = "sha256:c33c0d32b8594fa647d2e01dbccc303478e16fdd7cf98652d5b3ed11aa5e5c99"},
+    {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
+    {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e"},
+    {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e1ce50266f4f70bf41a2c6dc4358afadae90e2a1e5342d3c08883df1675374f"},
+    {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:443c4a81bb10daed9a8f334365fe52542771f25aedaf889fd323a853ce7377d6"},
+    {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:74f57f24754fe349223792466a709f8e0c093205ff0dca557af51072ff47ab18"},
+    {file = "cryptography-43.0.3-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:9762ea51a8fc2a88b70cf2995e5675b38d93bf36bd67d91721c309df184f49bd"},
+    {file = "cryptography-43.0.3-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:81ef806b1fef6b06dcebad789f988d3b37ccaee225695cf3e07648eee0fc6b73"},
+    {file = "cryptography-43.0.3-cp37-abi3-win32.whl", hash = "sha256:cbeb489927bd7af4aa98d4b261af9a5bc025bd87f0e3547e11584be9e9427be2"},
+    {file = "cryptography-43.0.3-cp37-abi3-win_amd64.whl", hash = "sha256:f46304d6f0c6ab8e52770addfa2fc41e6629495548862279641972b6215451cd"},
+    {file = "cryptography-43.0.3-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:8ac43ae87929a5982f5948ceda07001ee5e83227fd69cf55b109144938d96984"},
+    {file = "cryptography-43.0.3-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:846da004a5804145a5f441b8530b4bf35afbf7da70f82409f151695b127213d5"},
+    {file = "cryptography-43.0.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f996e7268af62598f2fc1204afa98a3b5712313a55c4c9d434aef49cadc91d4"},
+    {file = "cryptography-43.0.3-cp39-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:f7b178f11ed3664fd0e995a47ed2b5ff0a12d893e41dd0494f406d1cf555cab7"},
+    {file = "cryptography-43.0.3-cp39-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:c2e6fc39c4ab499049df3bdf567f768a723a5e8464816e8f009f121a5a9f4405"},
+    {file = "cryptography-43.0.3-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:e1be4655c7ef6e1bbe6b5d0403526601323420bcf414598955968c9ef3eb7d16"},
+    {file = "cryptography-43.0.3-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:df6b6c6d742395dd77a23ea3728ab62f98379eff8fb61be2744d4679ab678f73"},
+    {file = "cryptography-43.0.3-cp39-abi3-win32.whl", hash = "sha256:d56e96520b1020449bbace2b78b603442e7e378a9b3bd68de65c782db1507995"},
+    {file = "cryptography-43.0.3-cp39-abi3-win_amd64.whl", hash = "sha256:0c580952eef9bf68c4747774cde7ec1d85a6e61de97281f2dba83c7d2c806362"},
+    {file = "cryptography-43.0.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:d03b5621a135bffecad2c73e9f4deb1a0f977b9a8ffe6f8e002bf6c9d07b918c"},
+    {file = "cryptography-43.0.3-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:a2a431ee15799d6db9fe80c82b055bae5a752bef645bba795e8e52687c69efe3"},
+    {file = "cryptography-43.0.3-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:281c945d0e28c92ca5e5930664c1cefd85efe80e5c0d2bc58dd63383fda29f83"},
+    {file = "cryptography-43.0.3-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:f18c716be16bc1fea8e95def49edf46b82fccaa88587a45f8dc0ff6ab5d8e0a7"},
+    {file = "cryptography-43.0.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:4a02ded6cd4f0a5562a8887df8b3bd14e822a90f97ac5e544c162899bc467664"},
+    {file = "cryptography-43.0.3-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:53a583b6637ab4c4e3591a15bc9db855b8d9dee9a669b550f311480acab6eb08"},
+    {file = "cryptography-43.0.3-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:1ec0bcf7e17c0c5669d881b1cd38c4972fade441b27bda1051665faaa89bdcaa"},
+    {file = "cryptography-43.0.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2ce6fae5bdad59577b44e4dfed356944fbf1d925269114c28be377692643b4ff"},
+    {file = "cryptography-43.0.3.tar.gz", hash = "sha256:315b9001266a492a6ff443b61238f956b214dbec9910a081ba5b6646a055a805"},
 ]
 
 [package.dependencies]
-cffi = ">=1.12"
+cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
 
 [package.extras]
 docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
-docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"]
-pep8test = ["black", "check-manifest", "mypy", "ruff"]
-sdist = ["setuptools-rust (>=0.11.4)"]
+docstest = ["pyenchant (>=1.6.11)", "readme-renderer", "sphinxcontrib-spelling (>=4.0.1)"]
+nox = ["nox"]
+pep8test = ["check-sdist", "click", "mypy", "ruff"]
+sdist = ["build"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["iso8601", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-shard (>=0.1.2)", "pytest-subtests", "pytest-xdist"]
+test = ["certifi", "cryptography-vectors (==43.0.3)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
-tox = ["tox"]
 
 [[package]]
 name = "debugpy"
@@ -4182,4 +4190,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "22e59cce1130d5186c8fac0c3cae42381d12db5a7b1310e10cf187199898ff8d"
+content-hash = "786cda0a2ec1cd0d12c24d9eac15b4675e323c6eb8c41fff9badf962dfa93d5e"
diff --git a/pyproject.toml b/pyproject.toml
index b4fbbda0..5e455088 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -25,7 +25,7 @@ openshift-client = "1.0.18"
 rich = "^12.5"
 ray = {version = "2.35.0", extras = ["data", "default"]}
 kubernetes = ">= 25.3.0, < 27"
-cryptography = "40.0.2"
+cryptography = "43.0.3"
 executing = "1.2.0"
 pydantic = "< 2"
 ipywidgets = "8.1.2"

From b1921272aad333161bc43ff6ed81aad2a02d2d42 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 30 Oct 2024 22:35:40 +0000
Subject: [PATCH 158/254] Bump sphinx-rtd-theme from 2.0.0 to 3.0.1

Bumps [sphinx-rtd-theme](https://github.com/readthedocs/sphinx_rtd_theme) from 2.0.0 to 3.0.1.
- [Changelog](https://github.com/readthedocs/sphinx_rtd_theme/blob/master/docs/changelog.rst)
- [Commits](https://github.com/readthedocs/sphinx_rtd_theme/compare/2.0.0...3.0.1)

---
updated-dependencies:
- dependency-name: sphinx-rtd-theme
  dependency-type: direct:development
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] 
---
 poetry.lock    | 16 ++++++++--------
 pyproject.toml |  2 +-
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index d1601c13..d5318d08 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -3607,22 +3607,22 @@ test = ["cython (>=3.0)", "defusedxml (>=0.7.1)", "pytest (>=8.0)", "setuptools
 
 [[package]]
 name = "sphinx-rtd-theme"
-version = "2.0.0"
+version = "3.0.1"
 description = "Read the Docs theme for Sphinx"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "sphinx_rtd_theme-2.0.0-py2.py3-none-any.whl", hash = "sha256:ec93d0856dc280cf3aee9a4c9807c60e027c7f7b461b77aeffed682e68f0e586"},
-    {file = "sphinx_rtd_theme-2.0.0.tar.gz", hash = "sha256:bd5d7b80622406762073a04ef8fadc5f9151261563d47027de09910ce03afe6b"},
+    {file = "sphinx_rtd_theme-3.0.1-py2.py3-none-any.whl", hash = "sha256:921c0ece75e90633ee876bd7b148cfaad136b481907ad154ac3669b6fc957916"},
+    {file = "sphinx_rtd_theme-3.0.1.tar.gz", hash = "sha256:a4c5745d1b06dfcb80b7704fe532eb765b44065a8fad9851e4258c8804140703"},
 ]
 
 [package.dependencies]
-docutils = "<0.21"
-sphinx = ">=5,<8"
+docutils = ">0.18,<0.22"
+sphinx = ">=6,<9"
 sphinxcontrib-jquery = ">=4,<5"
 
 [package.extras]
-dev = ["bump2version", "sphinxcontrib-httpdomain", "transifex-client", "wheel"]
+dev = ["bump2version", "transifex-client", "twine", "wheel"]
 
 [[package]]
 name = "sphinxcontrib-applehelp"
@@ -4190,4 +4190,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "786cda0a2ec1cd0d12c24d9eac15b4675e323c6eb8c41fff9badf962dfa93d5e"
+content-hash = "77ed4d7230a35aead2842b16def52ec47ffaadba1374aaf72ee258a7fed3ec35"
diff --git a/pyproject.toml b/pyproject.toml
index 5e455088..cb03f609 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,7 +35,7 @@ optional = true
 
 [tool.poetry.group.docs.dependencies]
 sphinx = "7.4.7"
-sphinx-rtd-theme = "2.0.0"
+sphinx-rtd-theme = "3.0.1"
 
 [tool.poetry.group.test]
 optional = true

From e8503c65a64c9b7b2c609d12ff19c2c66828cc16 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 30 Oct 2024 22:58:14 +0000
Subject: [PATCH 159/254] Bump torchvision from 0.12.0 to 0.20.1 in
 /demo-notebooks/guided-demos

Bumps [torchvision](https://github.com/pytorch/vision) from 0.12.0 to 0.20.1.
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](https://github.com/pytorch/vision/compare/v0.12.0...v0.20.1)

---
updated-dependencies:
- dependency-name: torchvision
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] 
---
 .../guided-demos/notebook-ex-outputs/requirements.txt           | 2 +-
 demo-notebooks/guided-demos/preview_nbs/requirements.txt        | 2 +-
 demo-notebooks/guided-demos/requirements.txt                    | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
index dd83de8a..27a5620c 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
@@ -1,4 +1,4 @@
 pytorch_lightning==2.4.0
 ray_lightning
 torchmetrics==1.5.1
-torchvision==0.12.0
+torchvision==0.20.1
diff --git a/demo-notebooks/guided-demos/preview_nbs/requirements.txt b/demo-notebooks/guided-demos/preview_nbs/requirements.txt
index dd83de8a..27a5620c 100644
--- a/demo-notebooks/guided-demos/preview_nbs/requirements.txt
+++ b/demo-notebooks/guided-demos/preview_nbs/requirements.txt
@@ -1,4 +1,4 @@
 pytorch_lightning==2.4.0
 ray_lightning
 torchmetrics==1.5.1
-torchvision==0.12.0
+torchvision==0.20.1
diff --git a/demo-notebooks/guided-demos/requirements.txt b/demo-notebooks/guided-demos/requirements.txt
index 4d2111c0..27a5620c 100644
--- a/demo-notebooks/guided-demos/requirements.txt
+++ b/demo-notebooks/guided-demos/requirements.txt
@@ -1,4 +1,4 @@
 pytorch_lightning==2.4.0
 ray_lightning
 torchmetrics==1.5.1
-torchvision==0.18.0
+torchvision==0.20.1

From 17dc2f75d0a3e37792e3b048c4eccbbbc49737a7 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 30 Oct 2024 23:23:33 +0000
Subject: [PATCH 160/254] Bump torchvision from 0.19.0 to 0.20.1 in /tests/e2e

Bumps [torchvision](https://github.com/pytorch/vision) from 0.19.0 to 0.20.1.
- [Release notes](https://github.com/pytorch/vision/releases)
- [Commits](https://github.com/pytorch/vision/compare/0.19.0...v0.20.1)

---
updated-dependencies:
- dependency-name: torchvision
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] 
---
 tests/e2e/mnist_pip_requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/e2e/mnist_pip_requirements.txt b/tests/e2e/mnist_pip_requirements.txt
index 05ed5816..60811f18 100644
--- a/tests/e2e/mnist_pip_requirements.txt
+++ b/tests/e2e/mnist_pip_requirements.txt
@@ -1,4 +1,4 @@
 pytorch_lightning==1.9.5
 torchmetrics==0.9.1
-torchvision==0.19.0
+torchvision==0.20.1
 minio

From ec72303fefcf86ccabdabc04b7a67577aaebca53 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 30 Oct 2024 23:08:56 +0000
Subject: [PATCH 161/254] Bump @jupyterlab/galata from 5.2.5 to 5.3.0 in
 /ui-tests

Bumps [@jupyterlab/galata](https://github.com/jupyterlab/jupyterlab) from 5.2.5 to 5.3.0.
- [Release notes](https://github.com/jupyterlab/jupyterlab/releases)
- [Changelog](https://github.com/jupyterlab/jupyterlab/blob/main/CHANGELOG.md)
- [Commits](https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/galata@5.2.5...@jupyterlab/galata@5.3.0)

---
updated-dependencies:
- dependency-name: "@jupyterlab/galata"
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] 
---
 ui-tests/package.json |    2 +-
 ui-tests/yarn.lock    | 1169 +++++++++++++++++++++--------------------
 2 files changed, 595 insertions(+), 576 deletions(-)

diff --git a/ui-tests/package.json b/ui-tests/package.json
index cd6d230e..89971922 100644
--- a/ui-tests/package.json
+++ b/ui-tests/package.json
@@ -15,7 +15,7 @@
   "author": "Project Jupyter",
   "license": "BSD-3-Clause",
   "devDependencies": {
-    "@jupyterlab/galata": "^5.0.1",
+    "@jupyterlab/galata": "^5.3.0",
     "@playwright/test": "^1.48.2",
     "yarn-deduplicate": "^6.0.1"
   }
diff --git a/ui-tests/yarn.lock b/ui-tests/yarn.lock
index f0b1fbc2..5d383ffc 100644
--- a/ui-tests/yarn.lock
+++ b/ui-tests/yarn.lock
@@ -2,7 +2,7 @@
 # yarn lockfile v1
 
 
-"@codemirror/autocomplete@^6.0.0", "@codemirror/autocomplete@^6.15.0", "@codemirror/autocomplete@^6.3.2", "@codemirror/autocomplete@^6.7.1":
+"@codemirror/autocomplete@^6.0.0", "@codemirror/autocomplete@^6.3.2", "@codemirror/autocomplete@^6.7.1":
   version "6.18.0"
   resolved "https://registry.npmjs.org/@codemirror/autocomplete/-/autocomplete-6.18.0.tgz#5f39b05daca04c95e990b70024144df47b2aa635"
   integrity sha512-5DbOvBbY4qW5l57cjDsmmpDh3/TeK1vXfTHa+BUMrRzdWdcxKZ4U4V7vQaTtOpApNU4kLS4FQ6cINtLg245LXA==
@@ -12,10 +12,20 @@
     "@codemirror/view" "^6.17.0"
     "@lezer/common" "^1.0.0"
 
-"@codemirror/commands@^6.3.3":
-  version "6.6.1"
-  resolved "https://registry.npmjs.org/@codemirror/commands/-/commands-6.6.1.tgz#6beaf2f94df1af1e7d4a811dff4fea2ac227b49c"
-  integrity sha512-iBfKbyIoXS1FGdsKcZmnrxmbc8VcbMrSgD7AVrsnX+WyAYjmUDWvE93dt5D874qS4CCVu4O1JpbagHdXbbLiOw==
+"@codemirror/autocomplete@^6.16.0":
+  version "6.18.2"
+  resolved "https://registry.npmjs.org/@codemirror/autocomplete/-/autocomplete-6.18.2.tgz#bf3f15f1bf0fdfa3b4fac560e419adae1ece8a94"
+  integrity sha512-wJGylKtMFR/Ds6Gh01+OovXE/pncPiKZNNBKuC39pKnH+XK5d9+WsNqcrdxPjFPFTigRBqse0rfxw9UxrfyhPg==
+  dependencies:
+    "@codemirror/language" "^6.0.0"
+    "@codemirror/state" "^6.0.0"
+    "@codemirror/view" "^6.17.0"
+    "@lezer/common" "^1.0.0"
+
+"@codemirror/commands@^6.5.0":
+  version "6.7.1"
+  resolved "https://registry.npmjs.org/@codemirror/commands/-/commands-6.7.1.tgz#04561e95bc0779eaa49efd63e916c4efb3bbf6d6"
+  integrity sha512-llTrboQYw5H4THfhN4U3qCnSZ1SOJ60ohhz+SzU0ADGtwlc533DtklQP0vSFaQuCPDn3BPpOd1GbbnUtwNjsrw==
   dependencies:
     "@codemirror/language" "^6.0.0"
     "@codemirror/state" "^6.4.0"
@@ -41,7 +51,7 @@
     "@lezer/common" "^1.0.2"
     "@lezer/css" "^1.1.7"
 
-"@codemirror/lang-html@^6.0.0", "@codemirror/lang-html@^6.4.8":
+"@codemirror/lang-html@^6.0.0", "@codemirror/lang-html@^6.4.9":
   version "6.4.9"
   resolved "https://registry.npmjs.org/@codemirror/lang-html/-/lang-html-6.4.9.tgz#d586f2cc9c341391ae07d1d7c545990dfa069727"
   integrity sha512-aQv37pIMSlueybId/2PVSP6NPnmurFDVmZwzc7jszd2KAF8qd4VBbvNYPXWQq90WIARjsdVkPbw29pszmHws3Q==
@@ -85,10 +95,10 @@
     "@codemirror/language" "^6.0.0"
     "@lezer/json" "^1.0.0"
 
-"@codemirror/lang-markdown@^6.2.4":
-  version "6.2.5"
-  resolved "https://registry.npmjs.org/@codemirror/lang-markdown/-/lang-markdown-6.2.5.tgz#451941bf743d3788e73598f1aedb71cbeb6f71ba"
-  integrity sha512-Hgke565YcO4fd9pe2uLYxnMufHO5rQwRr+AAhFq8ABuhkrjyX8R5p5s+hZUTdV60O0dMRjxKhBLxz8pu/MkUVA==
+"@codemirror/lang-markdown@^6.2.5":
+  version "6.3.0"
+  resolved "https://registry.npmjs.org/@codemirror/lang-markdown/-/lang-markdown-6.3.0.tgz#949f8803332441705ed6def34c565f2166479538"
+  integrity sha512-lYrI8SdL/vhd0w0aHIEvIRLRecLF7MiiRfzXFZY94dFwHqC9HtgxgagJ8fyYNBldijGatf9wkms60d8SrAj6Nw==
   dependencies:
     "@codemirror/autocomplete" "^6.7.1"
     "@codemirror/lang-html" "^6.0.0"
@@ -109,7 +119,7 @@
     "@lezer/common" "^1.0.0"
     "@lezer/php" "^1.0.0"
 
-"@codemirror/lang-python@^6.1.4":
+"@codemirror/lang-python@^6.1.6":
   version "6.1.6"
   resolved "https://registry.npmjs.org/@codemirror/lang-python/-/lang-python-6.1.6.tgz#0c55e7e2dfa85b68be93b9692e5d3f76f284bbb2"
   integrity sha512-ai+01WfZhWqM92UqjnvorkxosZ2aq2u28kHvr+N3gu012XqY2CThD67JPMHnGceRfXPDBmn1HnyqowdpF57bNg==
@@ -128,10 +138,10 @@
     "@codemirror/language" "^6.0.0"
     "@lezer/rust" "^1.0.0"
 
-"@codemirror/lang-sql@^6.6.1":
-  version "6.7.1"
-  resolved "https://registry.npmjs.org/@codemirror/lang-sql/-/lang-sql-6.7.1.tgz#314211eb79fbba96b4dd0d24fa954be9803368ab"
-  integrity sha512-flQa7zemrLKk0TIrOJnpeyH/b29BcVybtsTeZMgAo40O6kGbrnUSCgwI3TF5iJY3O9VXJKKCA+i0CBVvDfr88w==
+"@codemirror/lang-sql@^6.6.4":
+  version "6.8.0"
+  resolved "https://registry.npmjs.org/@codemirror/lang-sql/-/lang-sql-6.8.0.tgz#1ae68ad49f378605ff88a4cc428ba667ce056068"
+  integrity sha512-aGLmY4OwGqN3TdSx3h6QeA1NrvaYtF7kkoWR/+W7/JzB0gQtJ+VJxewlnE3+VImhA4WVlhmkJr109PefOOhjLg==
   dependencies:
     "@codemirror/autocomplete" "^6.0.0"
     "@codemirror/language" "^6.0.0"
@@ -174,7 +184,7 @@
     "@lezer/lr" "^1.0.0"
     style-mod "^4.0.0"
 
-"@codemirror/legacy-modes@^6.3.3":
+"@codemirror/legacy-modes@^6.4.0":
   version "6.4.1"
   resolved "https://registry.npmjs.org/@codemirror/legacy-modes/-/legacy-modes-6.4.1.tgz#fae7b03cad1beada637fd3c12c568a3a7f63fe89"
   integrity sha512-vdg3XY7OAs5uLDx2Iw+cGfnwtd7kM+Et/eMsqAGTfT/JKiVBQZXosTzjEbWAi/FrY6DcQIz8mQjBozFHZEUWQA==
@@ -204,7 +214,7 @@
   resolved "https://registry.npmjs.org/@codemirror/state/-/state-6.4.1.tgz#da57143695c056d9a3c38705ed34136e2b68171b"
   integrity sha512-QkEyUiLhsJoZkbumGZlswmAhA7CBU02Wrz7zvH4SrcifbsqwlXShVXg65f3v/ts57W3dqyamEriMhij1Z3Zz4A==
 
-"@codemirror/view@^6.0.0", "@codemirror/view@^6.17.0", "@codemirror/view@^6.23.0", "@codemirror/view@^6.26.0", "@codemirror/view@^6.27.0":
+"@codemirror/view@^6.0.0", "@codemirror/view@^6.17.0", "@codemirror/view@^6.23.0", "@codemirror/view@^6.27.0":
   version "6.33.0"
   resolved "https://registry.npmjs.org/@codemirror/view/-/view-6.33.0.tgz#51e270410fc3af92a6e38798e80ebf8add7dc3ec"
   integrity sha512-AroaR3BvnjRW8fiZBalAaK+ZzB5usGgI014YKElYZvQdNH5ZIidHlO+cyf/2rWzyBFRkvG6VhiXeAEbC53P2YQ==
@@ -213,34 +223,42 @@
     style-mod "^4.1.0"
     w3c-keyname "^2.2.4"
 
+"@codemirror/view@^6.26.3":
+  version "6.34.1"
+  resolved "https://registry.npmjs.org/@codemirror/view/-/view-6.34.1.tgz#b17ed29c563e4adc60086233f2d3e7197e2dc33e"
+  integrity sha512-t1zK/l9UiRqwUNPm+pdIT0qzJlzuVckbTEMVNFhfWkGiBQClstzg+78vedCvLSX0xJEZ6lwZbPpnljL7L6iwMQ==
+  dependencies:
+    "@codemirror/state" "^6.4.0"
+    style-mod "^4.1.0"
+    w3c-keyname "^2.2.4"
+
 "@fortawesome/fontawesome-free@^5.12.0":
   version "5.15.4"
   resolved "https://registry.npmjs.org/@fortawesome/fontawesome-free/-/fontawesome-free-5.15.4.tgz#ecda5712b61ac852c760d8b3c79c96adca5554e5"
   integrity sha512-eYm8vijH/hpzr/6/1CJ/V/Eb1xQFW2nnUKArb3z+yUWv7HTwj6M7SP957oMjfZjAHU6qpoNc2wQvIxBLWYa/Jg==
 
-"@jupyter/react-components@^0.15.3":
-  version "0.15.3"
-  resolved "https://registry.npmjs.org/@jupyter/react-components/-/react-components-0.15.3.tgz#891b2cb8457cd9b06079e2937795f8d7d0e319ba"
-  integrity sha512-u85j88lxMSQ+2iVWuHPpMtFxek7nQnQsLh2eVJQFVv0ECX6H4s2WzIa4Ha1VRu4gjAXDtI/9wec9qUW6nezUnw==
+"@jupyter/react-components@^0.16.6":
+  version "0.16.7"
+  resolved "https://registry.npmjs.org/@jupyter/react-components/-/react-components-0.16.7.tgz#94926647a3578409c65d69d5b44c86cb0ca8ceab"
+  integrity sha512-BKIPkJ9V011uhtdq1xBOu2M3up59CqsRbDS4aq8XhnHR4pwqfRV6k6irE5YBOETCoIwWZZ5RZO+cJcZ3DcsT5A==
   dependencies:
-    "@jupyter/web-components" "^0.15.3"
-    "@microsoft/fast-react-wrapper" "^0.3.22"
+    "@jupyter/web-components" "^0.16.7"
     react ">=17.0.0 <19.0.0"
 
-"@jupyter/web-components@^0.15.3":
-  version "0.15.3"
-  resolved "https://registry.npmjs.org/@jupyter/web-components/-/web-components-0.15.3.tgz#5491b5f6bc4e12f9b9c85bac63cd19514abedef1"
-  integrity sha512-ZrbyXr9mcYowXZ0Ic09ee6W2T3+t7+HP7yYwd2u7wHmQ0etWq5r8+DNdp8uFHiAeTV1kFm6aogNufR9fH34MCw==
+"@jupyter/web-components@^0.16.6", "@jupyter/web-components@^0.16.7":
+  version "0.16.7"
+  resolved "https://registry.npmjs.org/@jupyter/web-components/-/web-components-0.16.7.tgz#cd347c4a1dcda9597ef405f94e27bfcfe920d1b6"
+  integrity sha512-1a8awgvvP9J9pCV5vBRuQxdBk29764qiMJsJYEndrWH3cB/FlaO+sZIBm4OTf56Eqdgl8R3/ZSLM1+3mgXOkPg==
   dependencies:
     "@microsoft/fast-colors" "^5.3.1"
     "@microsoft/fast-element" "^1.12.0"
     "@microsoft/fast-foundation" "^2.49.4"
     "@microsoft/fast-web-utilities" "^5.4.1"
 
-"@jupyter/ydoc@^2.0.1":
-  version "2.1.1"
-  resolved "https://registry.npmjs.org/@jupyter/ydoc/-/ydoc-2.1.1.tgz#96487cab6d3eb1419a7891384e8fcbefc971d605"
-  integrity sha512-NeEwqXQ2j1OyLq4uezeQmsMiI+Qo5k7dYIMqNByOM7dJp6sHeP0jQ96w7BEc9E4SmrxwcOT4cLvcJWJE8Xun4g==
+"@jupyter/ydoc@^3.0.0":
+  version "3.0.0"
+  resolved "https://registry.npmjs.org/@jupyter/ydoc/-/ydoc-3.0.0.tgz#36fcc4790723644713e35df32916961e4c9428d4"
+  integrity sha512-oWTSBPifD81I1oRNyKkMJF14FzNvBpJxiYHXaC1XeFXk67KNiqDepjVpYJ1E2QYThZhZGGtdNc6TC1XCQAJVKA==
   dependencies:
     "@jupyterlab/nbformat" "^3.0.0 || ^4.0.0-alpha.21 || ^4.0.0"
     "@lumino/coreutils" "^1.11.0 || ^2.0.0"
@@ -249,368 +267,368 @@
     y-protocols "^1.0.5"
     yjs "^13.5.40"
 
-"@jupyterlab/application@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/application/-/application-4.2.5.tgz#a24819d607b46c80c6a366811680cf93eb45ea28"
-  integrity sha512-einksHwj/aki/F3Z3kA9o/8ZfHsDrdvzN753jv8wxPpi8s0aDfMivHafbvV4O4iN02y0Iv2yxsHEpA65SP/Kmg==
+"@jupyterlab/application@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/application/-/application-4.3.0.tgz#c33e8f836974fbe4b3dd9f41c46ea3c8c8ce5b60"
+  integrity sha512-tH34PGe/cKDDcGgUfjtzVnvJRQCn9KRZtmXUHKYVWT4cJ4lgtiTWPPxPZv4vJi6bUFZG3tv9nfrPt1sUlPjAhg==
   dependencies:
     "@fortawesome/fontawesome-free" "^5.12.0"
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/docregistry" "^4.2.5"
-    "@jupyterlab/rendermime" "^4.2.5"
-    "@jupyterlab/rendermime-interfaces" "^3.10.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/statedb" "^4.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/application" "^2.3.1"
-    "@lumino/commands" "^2.3.0"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/polling" "^2.1.2"
-    "@lumino/properties" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
-
-"@jupyterlab/apputils@^4.3.5":
-  version "4.3.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/apputils/-/apputils-4.3.5.tgz#ea335ed016969c5cc844e1922e0d456cafbcdd9b"
-  integrity sha512-O88fr29bne7X29r742pb4NIQXm6VYRnx9uDzOh5RuAf/oJlW+xeY95EsHWFfXJQEerueuBp5ivTQxhf1ZM1hew==
-  dependencies:
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/rendermime-interfaces" "^3.10.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/settingregistry" "^4.2.5"
-    "@jupyterlab/statedb" "^4.2.5"
-    "@jupyterlab/statusbar" "^4.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/commands" "^2.3.0"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/domutils" "^2.0.1"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/virtualdom" "^2.0.1"
-    "@lumino/widgets" "^2.3.2"
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/docregistry" "^4.3.0"
+    "@jupyterlab/rendermime" "^4.3.0"
+    "@jupyterlab/rendermime-interfaces" "^3.11.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/statedb" "^4.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/application" "^2.4.1"
+    "@lumino/commands" "^2.3.1"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/polling" "^2.1.3"
+    "@lumino/properties" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
+
+"@jupyterlab/apputils@^4.4.0":
+  version "4.4.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/apputils/-/apputils-4.4.0.tgz#3c9d58c7ffd4fab5de067ab88b0f67139930d200"
+  integrity sha512-Qlt36C9AVCyOx1O30KZR0Q1cVbquxsbD+ZhxFdDKaoSlax0vsRrOR42FDLXqvRGO5MCFHe/KtNjTRHise6o/ww==
+  dependencies:
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/rendermime-interfaces" "^3.11.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/settingregistry" "^4.3.0"
+    "@jupyterlab/statedb" "^4.3.0"
+    "@jupyterlab/statusbar" "^4.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/commands" "^2.3.1"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/domutils" "^2.0.2"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/virtualdom" "^2.0.2"
+    "@lumino/widgets" "^2.5.0"
     "@types/react" "^18.0.26"
     react "^18.2.0"
     sanitize-html "~2.12.1"
 
-"@jupyterlab/attachments@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/attachments/-/attachments-4.2.5.tgz#55704047a015ce28d32d7696ee9b5f95310abd37"
-  integrity sha512-W1on7D8ZVfe//Ec/fJOD4OMpsUkRhelEQBEuhJEbgKZ+b5y0awXiCHGsdQ1rkiHt90tLReAPqBDj5+9KavlM7g==
+"@jupyterlab/attachments@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/attachments/-/attachments-4.3.0.tgz#41818a3a1f8fa9107f9e8d6ac1b632ab6dddaa21"
+  integrity sha512-xToxNy3qKbIl1SVAnedAUBcjvFy7CXM1lMkf5jAR/hGGy+ac4dthYXTLiefaUi4UvpBLbeHfeY/Ya8UuWfSPkg==
   dependencies:
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/rendermime" "^4.2.5"
-    "@jupyterlab/rendermime-interfaces" "^3.10.5"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/signaling" "^2.1.2"
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/rendermime" "^4.3.0"
+    "@jupyterlab/rendermime-interfaces" "^3.11.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/signaling" "^2.1.3"
 
-"@jupyterlab/cells@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/cells/-/cells-4.2.5.tgz#205d020f6074d7e6b4c086d86d8a669973971fcf"
-  integrity sha512-4fSJnZbPT6YKTHu/DWgelFFRCo3+sU2di68e0k8b0oincOc4c0mg6hNa0dmxmrDah1IdOlhVOZX7RqKKYFGFEA==
+"@jupyterlab/cells@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/cells/-/cells-4.3.0.tgz#8079c5d532891aa4a2b3ef260a8046a766fb1d99"
+  integrity sha512-IxTwICkGzp/S18TNoC+81sRGcPtlTVWZ7G44lTXTYKW+YrWRlO/bIyoNmWlc7Xu5tRitfmzqJFw80V/enMqG6A==
   dependencies:
     "@codemirror/state" "^6.4.1"
-    "@codemirror/view" "^6.26.0"
-    "@jupyter/ydoc" "^2.0.1"
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/attachments" "^4.2.5"
-    "@jupyterlab/codeeditor" "^4.2.5"
-    "@jupyterlab/codemirror" "^4.2.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/documentsearch" "^4.2.5"
-    "@jupyterlab/filebrowser" "^4.2.5"
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/outputarea" "^4.2.5"
-    "@jupyterlab/rendermime" "^4.2.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/toc" "^6.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/domutils" "^2.0.1"
-    "@lumino/dragdrop" "^2.1.4"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/polling" "^2.1.2"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/virtualdom" "^2.0.1"
-    "@lumino/widgets" "^2.3.2"
+    "@codemirror/view" "^6.26.3"
+    "@jupyter/ydoc" "^3.0.0"
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/attachments" "^4.3.0"
+    "@jupyterlab/codeeditor" "^4.3.0"
+    "@jupyterlab/codemirror" "^4.3.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/documentsearch" "^4.3.0"
+    "@jupyterlab/filebrowser" "^4.3.0"
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/outputarea" "^4.3.0"
+    "@jupyterlab/rendermime" "^4.3.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/toc" "^6.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/domutils" "^2.0.2"
+    "@lumino/dragdrop" "^2.1.5"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/polling" "^2.1.3"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/virtualdom" "^2.0.2"
+    "@lumino/widgets" "^2.5.0"
     react "^18.2.0"
 
-"@jupyterlab/codeeditor@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/codeeditor/-/codeeditor-4.2.5.tgz#16eb06f25e43be37eb4bd6bbb48cecccd18a46a1"
-  integrity sha512-Y145T9JSD89mBTiD67JxWG738Adv87Z+RWp87W9CJE4ZLsJo1FzyXBvIAAwXN737zoSvnx3lMMY3mmWqUdicZg==
+"@jupyterlab/codeeditor@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/codeeditor/-/codeeditor-4.3.0.tgz#1856dc4e0a8b5f08700b438cf5c11596fe156a45"
+  integrity sha512-eV0lxowI2CFalnqKL62kWV7/EekLfaQ4RjjrQJ8C+pz4/QNgj7oM/oaYd8YVM4rRa+TqGFQOzXoDm3Wk4Ely6g==
   dependencies:
     "@codemirror/state" "^6.4.1"
-    "@jupyter/ydoc" "^2.0.1"
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/statusbar" "^4.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/dragdrop" "^2.1.4"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
+    "@jupyter/ydoc" "^3.0.0"
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/statusbar" "^4.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/dragdrop" "^2.1.5"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
     react "^18.2.0"
 
-"@jupyterlab/codemirror@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/codemirror/-/codemirror-4.2.5.tgz#b4bd9c46c8629920d4843d7f052ac5aaa5ac3a3d"
-  integrity sha512-oz0RApEC8Te4ojee4Mmm1nsEjYCBfXiP4qfoWfJJ5kHS52vwaylH8lWm6Dy/7RNiLdfQA29zR9X+ImD69exVKw==
+"@jupyterlab/codemirror@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/codemirror/-/codemirror-4.3.0.tgz#312be380cfe39dcd9f76527935314523c5f80e34"
+  integrity sha512-8cVyybFe3g8Z5A6Hz8p5Xsp0rqaQyZBypxqW952hDrMJ6jqWERBtQQ0Jwjqjz+TdABaloX/wIbG+oYFbfrfxKA==
   dependencies:
-    "@codemirror/autocomplete" "^6.15.0"
-    "@codemirror/commands" "^6.3.3"
+    "@codemirror/autocomplete" "^6.16.0"
+    "@codemirror/commands" "^6.5.0"
     "@codemirror/lang-cpp" "^6.0.2"
     "@codemirror/lang-css" "^6.2.1"
-    "@codemirror/lang-html" "^6.4.8"
+    "@codemirror/lang-html" "^6.4.9"
     "@codemirror/lang-java" "^6.0.1"
     "@codemirror/lang-javascript" "^6.2.2"
     "@codemirror/lang-json" "^6.0.1"
-    "@codemirror/lang-markdown" "^6.2.4"
+    "@codemirror/lang-markdown" "^6.2.5"
     "@codemirror/lang-php" "^6.0.1"
-    "@codemirror/lang-python" "^6.1.4"
+    "@codemirror/lang-python" "^6.1.6"
     "@codemirror/lang-rust" "^6.0.1"
-    "@codemirror/lang-sql" "^6.6.1"
+    "@codemirror/lang-sql" "^6.6.4"
     "@codemirror/lang-wast" "^6.0.2"
     "@codemirror/lang-xml" "^6.1.0"
     "@codemirror/language" "^6.10.1"
-    "@codemirror/legacy-modes" "^6.3.3"
+    "@codemirror/legacy-modes" "^6.4.0"
     "@codemirror/search" "^6.5.6"
     "@codemirror/state" "^6.4.1"
-    "@codemirror/view" "^6.26.0"
-    "@jupyter/ydoc" "^2.0.1"
-    "@jupyterlab/codeeditor" "^4.2.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/documentsearch" "^4.2.5"
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/translation" "^4.2.5"
+    "@codemirror/view" "^6.26.3"
+    "@jupyter/ydoc" "^3.0.0"
+    "@jupyterlab/codeeditor" "^4.3.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/documentsearch" "^4.3.0"
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/translation" "^4.3.0"
     "@lezer/common" "^1.2.1"
     "@lezer/generator" "^1.7.0"
     "@lezer/highlight" "^1.2.0"
-    "@lezer/markdown" "^1.2.0"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/signaling" "^2.1.2"
+    "@lezer/markdown" "^1.3.0"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/signaling" "^2.1.3"
     yjs "^13.5.40"
 
-"@jupyterlab/console@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/console/-/console-4.2.5.tgz#fced414f069d1937471752e76cfb276e88967b6a"
-  integrity sha512-qOPi2w+TG53ADXvud93aMsCsQUDJxhA8c2anWQ961g0ctbzqwOtGgb8MiUVGLEkFf0tUY8Fov39NdOJr75aCmQ==
-  dependencies:
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-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/cells" "^4.2.5"
-    "@jupyterlab/codeeditor" "^4.2.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/rendermime" "^4.2.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/dragdrop" "^2.1.4"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
-
-"@jupyterlab/coreutils@^6.2.5":
-  version "6.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/coreutils/-/coreutils-6.2.5.tgz#906dc8b65c841e8bf1c7589983bab90a12f8d24e"
-  integrity sha512-P3HniEv3bZ3EvV3zUwCmruR713fclGvSTfsuwFPBgI8M3rNIZYqGQ13xkTun7Zl6DUr2E8mrC/cq9jNwxW33yw==
-  dependencies:
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/signaling" "^2.1.2"
+"@jupyterlab/console@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/console/-/console-4.3.0.tgz#5e425dcd2c6d8d50791410bdd429cc852e2b00bc"
+  integrity sha512-Ph82d61psolGDNxRwO+88deP8agjK86+sh417J6HKxYzat8X/5HklRyxLTkztQYXUQUd7FobeQ+UH1ezCk9RwA==
+  dependencies:
+    "@jupyter/ydoc" "^3.0.0"
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/cells" "^4.3.0"
+    "@jupyterlab/codeeditor" "^4.3.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/rendermime" "^4.3.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/dragdrop" "^2.1.5"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
+
+"@jupyterlab/coreutils@^6.3.0":
+  version "6.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/coreutils/-/coreutils-6.3.0.tgz#592b7aa640d82aac4be42bb5e95394d40e6bd159"
+  integrity sha512-zsoMx18JXfVEvMR4OVb+GR/AirXYEUBveySoY6/Z4Kv6vLZh2ZC+JZKgnlpPvql7D7Aa7tCUbSJdV33+fYELIQ==
+  dependencies:
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/signaling" "^2.1.3"
     minimist "~1.2.0"
     path-browserify "^1.0.0"
     url-parse "~1.5.4"
 
-"@jupyterlab/debugger@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/debugger/-/debugger-4.2.5.tgz#af2dfc32a33a44cb2a10d20ad9dcf6f376b4f494"
-  integrity sha512-au/0RMAMdau3adrJ1QLnW3m7eAtzDJfTYLFeTgrcMAyQIyrmWLLX6cNLrRlJuYfnBzuJJV5N/9HGClEQEdxeLw==
+"@jupyterlab/debugger@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/debugger/-/debugger-4.3.0.tgz#7730a102652c26e4519f99194618e34ba8377022"
+  integrity sha512-mNpcm0NufsWxdCe4hnvm0WTBOW1lIe1sJyO/uos7JSdXUFtknYmtoEobVuf2y/goT6X5guvekMl22UIZQBVgXw==
   dependencies:
     "@codemirror/state" "^6.4.1"
-    "@codemirror/view" "^6.26.0"
-    "@jupyter/react-components" "^0.15.3"
-    "@jupyter/ydoc" "^2.0.1"
-    "@jupyterlab/application" "^4.2.5"
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/cells" "^4.2.5"
-    "@jupyterlab/codeeditor" "^4.2.5"
-    "@jupyterlab/codemirror" "^4.2.5"
-    "@jupyterlab/console" "^4.2.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/docregistry" "^4.2.5"
-    "@jupyterlab/fileeditor" "^4.2.5"
-    "@jupyterlab/notebook" "^4.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/rendermime" "^4.2.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/commands" "^2.3.0"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/datagrid" "^2.3.1"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/polling" "^2.1.2"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
+    "@codemirror/view" "^6.26.3"
+    "@jupyter/react-components" "^0.16.6"
+    "@jupyter/ydoc" "^3.0.0"
+    "@jupyterlab/application" "^4.3.0"
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/cells" "^4.3.0"
+    "@jupyterlab/codeeditor" "^4.3.0"
+    "@jupyterlab/codemirror" "^4.3.0"
+    "@jupyterlab/console" "^4.3.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/docregistry" "^4.3.0"
+    "@jupyterlab/fileeditor" "^4.3.0"
+    "@jupyterlab/notebook" "^4.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/rendermime" "^4.3.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/commands" "^2.3.1"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/datagrid" "^2.4.1"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/polling" "^2.1.3"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
     "@vscode/debugprotocol" "^1.51.0"
     react "^18.2.0"
 
-"@jupyterlab/docmanager@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/docmanager/-/docmanager-4.2.5.tgz#b33805c103f07ab0414e1a3bab978c99c7dd9e28"
-  integrity sha512-IjWdEMl9MI6kkioViQza67+uwQiqI5DEGBaLyFFZG3R2NFmo2zA1zNbmVMUomMil/lcnVZN60ZnifFhiRvh1rQ==
-  dependencies:
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/docregistry" "^4.2.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/statedb" "^4.2.5"
-    "@jupyterlab/statusbar" "^4.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/polling" "^2.1.2"
-    "@lumino/properties" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/docmanager@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/docmanager/-/docmanager-4.3.0.tgz#256588d7f4d1ff632f89103bbd75b65a8a2dd009"
+  integrity sha512-ptdvLpD5i6CPTxHeL+Q8Yih36+59jOdDPZgwfb3TC5Atx8SdsWhm2I0HA8G/j+Xq/2Grd5L3kwCkvQTG332Nxg==
+  dependencies:
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/docregistry" "^4.3.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/statedb" "^4.3.0"
+    "@jupyterlab/statusbar" "^4.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/polling" "^2.1.3"
+    "@lumino/properties" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
     react "^18.2.0"
 
-"@jupyterlab/docregistry@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/docregistry/-/docregistry-4.2.5.tgz#3027ee9217d295413af3cbb0da111cd1d1a486b6"
-  integrity sha512-9lKh3PrbhPbm3ui2TRTFgdu7Nxqtdf1kf12HHk+v9rE3+Y8c8k3SrbpNTeBMn03mRZKYOsEe6nYPZkT1R3+ARg==
-  dependencies:
-    "@jupyter/ydoc" "^2.0.1"
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/codeeditor" "^4.2.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/rendermime" "^4.2.5"
-    "@jupyterlab/rendermime-interfaces" "^3.10.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/properties" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/docregistry@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/docregistry/-/docregistry-4.3.0.tgz#34a393c95aa48830b0cdab0ee4c16850830cf87c"
+  integrity sha512-FNJ7WNUDQrm0Fde+GqZqWUf7TYky2cznb7r3D31Anpbp5wggyDJqfqNmJ1EAehxFr/UxKDmDg4u3Zw1YjTLJGg==
+  dependencies:
+    "@jupyter/ydoc" "^3.0.0"
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/codeeditor" "^4.3.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/rendermime" "^4.3.0"
+    "@jupyterlab/rendermime-interfaces" "^3.11.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/properties" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
     react "^18.2.0"
 
-"@jupyterlab/documentsearch@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/documentsearch/-/documentsearch-4.2.5.tgz#5e239efddd6ce6c66d39f3d1046fda876e340034"
-  integrity sha512-hjBprI8HMgr8dc4MMe5SCi24pPXeNYAq3PaqoDeYkVQwmK+aJexRba6k8V2GMXcifZCHbWiDysOTGsXyGTmizQ==
-  dependencies:
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/commands" "^2.3.0"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/polling" "^2.1.2"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/documentsearch@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/documentsearch/-/documentsearch-4.3.0.tgz#42b4c1d60dc3306f37833d78baeb9b35152ed6c3"
+  integrity sha512-nNMc+ldAYy4XeliHAzMdCIrt9lBVCnHvgtvkwV6zI91ve1YPXr/ak5Fsy9GHOXMGODkCLqAjo6uBIiQLO+g9eQ==
+  dependencies:
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/commands" "^2.3.1"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/polling" "^2.1.3"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
     react "^18.2.0"
 
-"@jupyterlab/filebrowser@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/filebrowser/-/filebrowser-4.2.5.tgz#2019ebb328d64cc3f7b051f67f297597eda14620"
-  integrity sha512-nI/Rkcye7/2j4GM0BfMXOrAHNQ7aHBQAMZqiqBte3mPUV/AoGc+E4E4Iv4b4bTs2/nKwgc/8B9ZSgN4LeVEAuQ==
-  dependencies:
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/docmanager" "^4.2.5"
-    "@jupyterlab/docregistry" "^4.2.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/statedb" "^4.2.5"
-    "@jupyterlab/statusbar" "^4.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/domutils" "^2.0.1"
-    "@lumino/dragdrop" "^2.1.4"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/polling" "^2.1.2"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/virtualdom" "^2.0.1"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/filebrowser@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/filebrowser/-/filebrowser-4.3.0.tgz#b9e91995d582c7367abb32579c1da1fa74ef2056"
+  integrity sha512-6lm77YO+Z78WZiJTURTUniduI2XpBkLHsSiWkw+3AaESxGxDyAAxk4YJftlZe1AYaMi6Oh6Kl4MmW7XuN2HCQg==
+  dependencies:
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/docmanager" "^4.3.0"
+    "@jupyterlab/docregistry" "^4.3.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/statedb" "^4.3.0"
+    "@jupyterlab/statusbar" "^4.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/domutils" "^2.0.2"
+    "@lumino/dragdrop" "^2.1.5"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/polling" "^2.1.3"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/virtualdom" "^2.0.2"
+    "@lumino/widgets" "^2.5.0"
     react "^18.2.0"
 
-"@jupyterlab/fileeditor@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/fileeditor/-/fileeditor-4.2.5.tgz#a69faad6fb0dbc1af4c0936719121ac11c8a6352"
-  integrity sha512-Daj38DN7jRLMBt+0Zwa7mW0XUWQTk/QOoS7ZInLEIXRcuYz5TcYBdFWFkJdUMr5mvq+RzasSXeaR6ZU5vXZSow==
-  dependencies:
-    "@jupyter/ydoc" "^2.0.1"
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/codeeditor" "^4.2.5"
-    "@jupyterlab/codemirror" "^4.2.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/docregistry" "^4.2.5"
-    "@jupyterlab/documentsearch" "^4.2.5"
-    "@jupyterlab/lsp" "^4.2.5"
-    "@jupyterlab/statusbar" "^4.2.5"
-    "@jupyterlab/toc" "^6.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/commands" "^2.3.0"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/fileeditor@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/fileeditor/-/fileeditor-4.3.0.tgz#b6ab4ffef899a0d14f59b840f1fa24642abe7ac2"
+  integrity sha512-WmWFGDxxXuNc3Jc/dNEChscOC1URZvR/YNE4bPNsZAZxXEzLhm538ELT5gWPHjUwlw4ZV+J//+w3avmQJJ+p9Q==
+  dependencies:
+    "@jupyter/ydoc" "^3.0.0"
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/codeeditor" "^4.3.0"
+    "@jupyterlab/codemirror" "^4.3.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/docregistry" "^4.3.0"
+    "@jupyterlab/documentsearch" "^4.3.0"
+    "@jupyterlab/lsp" "^4.3.0"
+    "@jupyterlab/statusbar" "^4.3.0"
+    "@jupyterlab/toc" "^6.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/commands" "^2.3.1"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/widgets" "^2.5.0"
     react "^18.2.0"
     regexp-match-indices "^1.0.2"
 
-"@jupyterlab/galata@^5.0.1":
-  version "5.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/galata/-/galata-5.2.5.tgz#73b05b354e43ab859ab8e94eee52da4fef7eb1bf"
-  integrity sha512-H/Igp4HxULaLPYyFWsTqQzvcEXWtNh+jgrVfN0Gr2P3DrpA6Hacb4UQVn6kYdEJdQHcwr/F3iAVieG20/Z1+kw==
-  dependencies:
-    "@jupyterlab/application" "^4.2.5"
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/debugger" "^4.2.5"
-    "@jupyterlab/docmanager" "^4.2.5"
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/notebook" "^4.2.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/settingregistry" "^4.2.5"
-    "@lumino/coreutils" "^2.1.2"
-    "@playwright/test" "^1.43.1"
+"@jupyterlab/galata@^5.3.0":
+  version "5.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/galata/-/galata-5.3.0.tgz#b9e0e731689a691911790c216410bff733a465d8"
+  integrity sha512-27F2XGkZwX3uuD3P0SQbJ5iOx/DZS+VRUO73VrS6YStNH6qw70De5jnTdPxZ5CnJw10lFaQbEboZ9g4798gEYg==
+  dependencies:
+    "@jupyterlab/application" "^4.3.0"
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/debugger" "^4.3.0"
+    "@jupyterlab/docmanager" "^4.3.0"
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/notebook" "^4.3.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/settingregistry" "^4.3.0"
+    "@lumino/coreutils" "^2.2.0"
+    "@playwright/test" "^1.48.0"
     "@stdlib/stats" "~0.0.13"
     fs-extra "^10.1.0"
     json5 "^2.2.3"
@@ -620,236 +638,237 @@
     vega-lite "^5.6.1"
     vega-statistics "^1.7.9"
 
-"@jupyterlab/lsp@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/lsp/-/lsp-4.2.5.tgz#23502ebe48c93178e978b3f5bc1a3b74c105befd"
-  integrity sha512-pnIxXDHjJrPJ9+jZo4YqpF06HeIARtICIPpDPnpF/OW9Ukm3/7Votfh4cf30z/eaLMbCGi9PT4k/j8TH6uO2Yw==
-  dependencies:
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/codeeditor" "^4.2.5"
-    "@jupyterlab/codemirror" "^4.2.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/docregistry" "^4.2.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/lsp@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/lsp/-/lsp-4.3.0.tgz#b53ba93442ae4def24525e8c325c805887f950a9"
+  integrity sha512-mN7kR5MWKM+wnrXyDZOTnRe2xmlGjNb94V6ALKmFckKgGiFjAGBJkfrUjY0DkLjJWAzlaT8tjrxNDNyKdx9qwQ==
+  dependencies:
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/codeeditor" "^4.3.0"
+    "@jupyterlab/codemirror" "^4.3.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/docregistry" "^4.3.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
     lodash.mergewith "^4.6.1"
     vscode-jsonrpc "^6.0.0"
     vscode-languageserver-protocol "^3.17.0"
     vscode-ws-jsonrpc "~1.0.2"
 
-"@jupyterlab/nbformat@^3.0.0 || ^4.0.0-alpha.21 || ^4.0.0", "@jupyterlab/nbformat@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/nbformat/-/nbformat-4.2.5.tgz#ab9f99b3b33c566b4fa50cbe79a6a4ae1af324b0"
-  integrity sha512-DF8bdlsEziUR5oKUr3Mm0wUx7kHZjlAtEjD6oJ8cOogQqTrMyBnUAgVjPr9QQob5J7qiyzz9aW2DYtaX+jFhng==
-  dependencies:
-    "@lumino/coreutils" "^2.1.2"
-
-"@jupyterlab/notebook@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/notebook/-/notebook-4.2.5.tgz#9515ea4e99a25af863290f5281b9347b0061c56f"
-  integrity sha512-GcnAV9u1t5SwwCSbvKDpUA5V0Ytxwc6VtvCzuM9FylvLuAH7PE4LgZlzz29fsPneV4ptoMmA5ExSLojHEhQVeQ==
-  dependencies:
-    "@jupyter/ydoc" "^2.0.1"
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/cells" "^4.2.5"
-    "@jupyterlab/codeeditor" "^4.2.5"
-    "@jupyterlab/codemirror" "^4.2.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/docregistry" "^4.2.5"
-    "@jupyterlab/documentsearch" "^4.2.5"
-    "@jupyterlab/lsp" "^4.2.5"
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/rendermime" "^4.2.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/settingregistry" "^4.2.5"
-    "@jupyterlab/statusbar" "^4.2.5"
-    "@jupyterlab/toc" "^6.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/domutils" "^2.0.1"
-    "@lumino/dragdrop" "^2.1.4"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/polling" "^2.1.2"
-    "@lumino/properties" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/virtualdom" "^2.0.1"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/nbformat@^3.0.0 || ^4.0.0-alpha.21 || ^4.0.0", "@jupyterlab/nbformat@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/nbformat/-/nbformat-4.3.0.tgz#8581a59e7b088876d741df3b1598931677e0bce8"
+  integrity sha512-7XfYrCN3eF00tJq3Z+fJd+d9AmoJIRvXEcjmcwRdddUkb44jVEKxZ9LGCRZ0m4QPDCMticyrqbXQpVMJIrNDeg==
+  dependencies:
+    "@lumino/coreutils" "^2.2.0"
+
+"@jupyterlab/notebook@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/notebook/-/notebook-4.3.0.tgz#03292ac51ae8ca85e938a936aa56361145371d31"
+  integrity sha512-2/nM9a9R9zrgBLg+k4hn8PeImx7RjUYTKW3OCVPwxxAh38RlTc98A8G9phKuLeMMWYXJZwObOPt0dOEI+j7bJA==
+  dependencies:
+    "@jupyter/ydoc" "^3.0.0"
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/cells" "^4.3.0"
+    "@jupyterlab/codeeditor" "^4.3.0"
+    "@jupyterlab/codemirror" "^4.3.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/docregistry" "^4.3.0"
+    "@jupyterlab/documentsearch" "^4.3.0"
+    "@jupyterlab/lsp" "^4.3.0"
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/rendermime" "^4.3.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/settingregistry" "^4.3.0"
+    "@jupyterlab/statusbar" "^4.3.0"
+    "@jupyterlab/toc" "^6.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/domutils" "^2.0.2"
+    "@lumino/dragdrop" "^2.1.5"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/polling" "^2.1.3"
+    "@lumino/properties" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/virtualdom" "^2.0.2"
+    "@lumino/widgets" "^2.5.0"
     react "^18.2.0"
 
-"@jupyterlab/observables@^5.2.5":
-  version "5.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/observables/-/observables-5.2.5.tgz#3e54e2b33c2bad32488362306fb4da6d7ebea569"
-  integrity sha512-EvrvweCpLle3uZciUdhbEUU++o0S7yHBKWtqrKFgb9qxM1qYFMlSMXlJLjE/cEXNiq/aZhsruyXiVKZ1UpVsVQ==
-  dependencies:
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-
-"@jupyterlab/outputarea@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/outputarea/-/outputarea-4.2.5.tgz#1fb6e651050ee15b6d395b28ed4584180a5a19a0"
-  integrity sha512-Oj/GVkEX5zHl/oOXl4Qmw05mdAB/+zEIuY9xsz5agBdeAD3c603PAR7Ep5UqSE4fltdnl+ILjSWyQPJgG4UEGg==
-  dependencies:
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/rendermime" "^4.2.5"
-    "@jupyterlab/rendermime-interfaces" "^3.10.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/properties" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
-
-"@jupyterlab/rendermime-interfaces@^3.10.5":
-  version "3.10.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/rendermime-interfaces/-/rendermime-interfaces-3.10.5.tgz#ca63afab7e4070b24562d20575983979785aefef"
-  integrity sha512-wZq4QhmckMqEjImMxTLFVtj+E0GI82/i0nCuaEI6tReXOqVFDg5wG/ChD/B/g0Xz+uPqt92R5rzZTpzodkDiKA==
-  dependencies:
-    "@lumino/coreutils" "^1.11.0 || ^2.1.2"
-    "@lumino/widgets" "^1.37.2 || ^2.3.2"
-
-"@jupyterlab/rendermime@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/rendermime/-/rendermime-4.2.5.tgz#b7833d23c938b9e0d94d0dc763e1c20af000a9eb"
-  integrity sha512-2ZfKM4xNUKbuR1foA7B6nvXg8zRSai1GTEROcF0ievNYn3qYEmdYYW9XlP11+8SoFcM0a4WiTgocRCgVV5Fbiw==
-  dependencies:
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/rendermime-interfaces" "^3.10.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/observables@^5.3.0":
+  version "5.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/observables/-/observables-5.3.0.tgz#1941ba061070594a3fb61680415e5f8575c9db23"
+  integrity sha512-MasQvRzHcu+ROzyLUwH8X9Qpv/A8M3SXkqnozzi6Ttcx7kVZsbRTvkSR5KQWESsY1FEu0r450e5VtjSy1QM9sw==
+  dependencies:
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+
+"@jupyterlab/outputarea@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/outputarea/-/outputarea-4.3.0.tgz#ea94d50ae90d144eb27a9c3564af87a975b46c6d"
+  integrity sha512-3TslhNnnaxtGdZ3j/G7YOOVCosH1fIKceDIByjccir7f6Z9mMz23BDffoSx25vmq0FsVJB+FPsYBHeyfTfrvtQ==
+  dependencies:
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/rendermime" "^4.3.0"
+    "@jupyterlab/rendermime-interfaces" "^3.11.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/properties" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
+
+"@jupyterlab/rendermime-interfaces@^3.11.0":
+  version "3.11.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/rendermime-interfaces/-/rendermime-interfaces-3.11.0.tgz#170b263124b5e3cdaab8f12e7dc6a7b85347ee65"
+  integrity sha512-Fn+H4iCBQow6IG+hWn7JzQQRQN4ePQz7gVBZ1s+dRvONnsOfAjs/Zgmbs1+0mZ/MQe23AKQoqV/Yqq7jbn3GhQ==
+  dependencies:
+    "@lumino/coreutils" "^1.11.0 || ^2.2.0"
+    "@lumino/widgets" "^1.37.2 || ^2.5.0"
+
+"@jupyterlab/rendermime@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/rendermime/-/rendermime-4.3.0.tgz#de1fe8fb350600193eff9dc9e215d537e41a4df9"
+  integrity sha512-D+S0RQxNZGCcpzBKXcUkEafS8HIaFOinqyzFQ0f6RMM9mbHRUoIRWG5ZBdpqK7FALQnOqKnz1Zyzawy2WkEIqg==
+  dependencies:
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/rendermime-interfaces" "^3.11.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
     lodash.escape "^4.0.1"
 
-"@jupyterlab/services@^7.2.5":
-  version "7.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/services/-/services-7.2.5.tgz#d98bf6999d53005fe978f6151d1060c1f6be5a95"
-  integrity sha512-Ya/jA8p8WOfiPPERinZasigsfSth54nNNWBQUrT2MEitdka3jVsjC3fR9R5XBpYQ59Qkczz782jMfXvaWNfCHQ==
-  dependencies:
-    "@jupyter/ydoc" "^2.0.1"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/settingregistry" "^4.2.5"
-    "@jupyterlab/statedb" "^4.2.5"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/polling" "^2.1.2"
-    "@lumino/properties" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
+"@jupyterlab/services@^7.3.0":
+  version "7.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/services/-/services-7.3.0.tgz#c1cc3f0c0427ae55c2f6ca64317f0eb73c17476a"
+  integrity sha512-u9GWFMTEUJvDszz98tIUpaBOsUGSybQjwv+263obtCjaceezy87SReIsQefoI1Dh8SGfngGW7IOvThM/LNoYGw==
+  dependencies:
+    "@jupyter/ydoc" "^3.0.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/settingregistry" "^4.3.0"
+    "@jupyterlab/statedb" "^4.3.0"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/polling" "^2.1.3"
+    "@lumino/properties" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
     ws "^8.11.0"
 
-"@jupyterlab/settingregistry@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/settingregistry/-/settingregistry-4.2.5.tgz#2ce28049c47ced6703c837766e6c2ff0e879b98b"
-  integrity sha512-RTHwFoldrP8h4hMxZrKafrOt3mLYKAcmUsnExkzKCqHuc3CIOh9hj+eN3gCh1mxjabbP9QIK0/08e89Rp/EG5w==
-  dependencies:
-    "@jupyterlab/nbformat" "^4.2.5"
-    "@jupyterlab/statedb" "^4.2.5"
-    "@lumino/commands" "^2.3.0"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/signaling" "^2.1.2"
+"@jupyterlab/settingregistry@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/settingregistry/-/settingregistry-4.3.0.tgz#46d9c506b43b56f4eb8f2819114e180224024b50"
+  integrity sha512-+/1IOaANMI35CVO67yTKAo0cVau04MH0QFeJUv9DtY88CU50O6vtfh9+gPGQnl/dTwgHZNiZbfapyLXvLuASig==
+  dependencies:
+    "@jupyterlab/nbformat" "^4.3.0"
+    "@jupyterlab/statedb" "^4.3.0"
+    "@lumino/commands" "^2.3.1"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/signaling" "^2.1.3"
     "@rjsf/utils" "^5.13.4"
     ajv "^8.12.0"
     json5 "^2.2.3"
 
-"@jupyterlab/statedb@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/statedb/-/statedb-4.2.5.tgz#9007e9b51eb79daae17ceb12abaa4ed3b707170b"
-  integrity sha512-GGP4NSkVzcn/zYZyjKId8OvDxq+JQTHEmiE2ayzUvvP4BwpGJ2GafY1V+QT5Tl+4SB0AzowpNud6XHUJ28M/tA==
-  dependencies:
-    "@lumino/commands" "^2.3.0"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/properties" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-
-"@jupyterlab/statusbar@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/statusbar/-/statusbar-4.2.5.tgz#eb5c2553f834b31fe86f421f5a3b4b2ddfbf2fbc"
-  integrity sha512-YjZf9gClZc6HWF2BN0lSFYuHQ/Im8AM1wF+BHKyGh2qgnN4Z34/d87fCGjvX4yY5tLynw0fFiydNZMwQnkWqLA==
-  dependencies:
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/statedb@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/statedb/-/statedb-4.3.0.tgz#0242a0fb58ddd7cc464af4a3df277ae118aa68a3"
+  integrity sha512-NyME5GIHmTwV2MLIqtxV9hMxKa0v9AjAasN6xtDqhlyFwsPd4kI1dUAlYjxJ9Cbcc+z5K3/XNoFZyErOe/JQPQ==
+  dependencies:
+    "@lumino/commands" "^2.3.1"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/properties" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+
+"@jupyterlab/statusbar@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/statusbar/-/statusbar-4.3.0.tgz#1482d69fe471dc61fc568de6f58ac6536904fb3a"
+  integrity sha512-ds8NB5MacSyzSYFGxTBtdxQ8RbfcUeCOSR8PLMqZ+DQuqAlyMAuzqNOGDHLmNVChSnzB97wLUeRWVkGj74PD4g==
+  dependencies:
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
     react "^18.2.0"
 
-"@jupyterlab/toc@^6.2.5":
-  version "6.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/toc/-/toc-6.2.5.tgz#f878d9fac248ecafd398684704924c522c402174"
-  integrity sha512-W2xQkVA7v87MaBcUB7OjzkOUY51bZzLL8S6esSARrNYdh5AY4rFKfnw0sKHAkSmrqB2DQLEZl/1z1GTNmyuYhQ==
-  dependencies:
-    "@jupyterlab/apputils" "^4.3.5"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/docregistry" "^4.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/rendermime" "^4.2.5"
-    "@jupyterlab/rendermime-interfaces" "^3.10.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@jupyterlab/ui-components" "^4.2.5"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/toc@^6.3.0":
+  version "6.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/toc/-/toc-6.3.0.tgz#18174d803fa00c27b503d355f5fbe5adf5d2210c"
+  integrity sha512-NjZqFllvpS4BlQzOfDa+YpQqeU1h8EQqaH9fvnfv48csUZ02P7ffvKcyBjzAcMpfhEfaXxIS1TqWPGC6jv+2hA==
+  dependencies:
+    "@jupyter/react-components" "^0.16.6"
+    "@jupyterlab/apputils" "^4.4.0"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/docregistry" "^4.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/rendermime" "^4.3.0"
+    "@jupyterlab/rendermime-interfaces" "^3.11.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@jupyterlab/ui-components" "^4.3.0"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/widgets" "^2.5.0"
     react "^18.2.0"
 
-"@jupyterlab/translation@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/translation/-/translation-4.2.5.tgz#32f01cbc556dc0083fbff695f779c017e2cc2ed1"
-  integrity sha512-r2QABaUl2cm0d+8klviLc+l4+jssRrNUDnZ3hBVluCN0QowmwsovWc7V+R0VWIULzB5Jzf79RfJumXfVOpgUfg==
-  dependencies:
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/rendermime-interfaces" "^3.10.5"
-    "@jupyterlab/services" "^7.2.5"
-    "@jupyterlab/statedb" "^4.2.5"
-    "@lumino/coreutils" "^2.1.2"
-
-"@jupyterlab/ui-components@^4.2.5":
-  version "4.2.5"
-  resolved "https://registry.npmjs.org/@jupyterlab/ui-components/-/ui-components-4.2.5.tgz#be78e9aaa95164ede17ea7aa5d401ad0f70aca15"
-  integrity sha512-IZ6M4U48IJbthe4nQrOo8+JQeIrUxGQCK/ReKECx9xg9XCsvQ37iA1ZwOYXv5MhlF2bmIF7dXcwI7mpJgUAgOg==
-  dependencies:
-    "@jupyter/react-components" "^0.15.3"
-    "@jupyter/web-components" "^0.15.3"
-    "@jupyterlab/coreutils" "^6.2.5"
-    "@jupyterlab/observables" "^5.2.5"
-    "@jupyterlab/rendermime-interfaces" "^3.10.5"
-    "@jupyterlab/translation" "^4.2.5"
-    "@lumino/algorithm" "^2.0.1"
-    "@lumino/commands" "^2.3.0"
-    "@lumino/coreutils" "^2.1.2"
-    "@lumino/disposable" "^2.1.2"
-    "@lumino/messaging" "^2.0.1"
-    "@lumino/polling" "^2.1.2"
-    "@lumino/properties" "^2.0.1"
-    "@lumino/signaling" "^2.1.2"
-    "@lumino/virtualdom" "^2.0.1"
-    "@lumino/widgets" "^2.3.2"
+"@jupyterlab/translation@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/translation/-/translation-4.3.0.tgz#426756c8e63b70f4643848b0ce3eb384979159b4"
+  integrity sha512-um8rbFXs4S1AtzHqtgnh80ttJ50mid1dVwgD+gz+M3tFGqG9ZvTWLfWOeIOCzSGyv0dtYtuWUf9M6S1S9jBNfw==
+  dependencies:
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/rendermime-interfaces" "^3.11.0"
+    "@jupyterlab/services" "^7.3.0"
+    "@jupyterlab/statedb" "^4.3.0"
+    "@lumino/coreutils" "^2.2.0"
+
+"@jupyterlab/ui-components@^4.3.0":
+  version "4.3.0"
+  resolved "https://registry.npmjs.org/@jupyterlab/ui-components/-/ui-components-4.3.0.tgz#925284ebdf121940de7ef8db3691cb68c6131c79"
+  integrity sha512-P0axMQ61aqgypTherhbVMgj47iWYhZgDKNj7YeJTQgiWotWYNmF2AHiiE7H2orIklgzCZh0OQKvcCQLo2cQW1A==
+  dependencies:
+    "@jupyter/react-components" "^0.16.6"
+    "@jupyter/web-components" "^0.16.6"
+    "@jupyterlab/coreutils" "^6.3.0"
+    "@jupyterlab/observables" "^5.3.0"
+    "@jupyterlab/rendermime-interfaces" "^3.11.0"
+    "@jupyterlab/translation" "^4.3.0"
+    "@lumino/algorithm" "^2.0.2"
+    "@lumino/commands" "^2.3.1"
+    "@lumino/coreutils" "^2.2.0"
+    "@lumino/disposable" "^2.1.3"
+    "@lumino/messaging" "^2.0.2"
+    "@lumino/polling" "^2.1.3"
+    "@lumino/properties" "^2.0.2"
+    "@lumino/signaling" "^2.1.3"
+    "@lumino/virtualdom" "^2.0.2"
+    "@lumino/widgets" "^2.5.0"
     "@rjsf/core" "^5.13.4"
     "@rjsf/utils" "^5.13.4"
     react "^18.2.0"
@@ -937,7 +956,7 @@
   dependencies:
     "@lezer/common" "^1.0.0"
 
-"@lezer/markdown@^1.0.0", "@lezer/markdown@^1.2.0":
+"@lezer/markdown@^1.0.0":
   version "1.3.1"
   resolved "https://registry.npmjs.org/@lezer/markdown/-/markdown-1.3.1.tgz#2193012296927f383102d7a2b035f323759315b3"
   integrity sha512-DGlzU/i8DC8k0uz1F+jeePrkATl0jWakauTzftMQOcbaMkHbNSRki/4E2tOzJWsVpoKYhe7iTJ03aepdwVUXUA==
@@ -945,6 +964,14 @@
     "@lezer/common" "^1.0.0"
     "@lezer/highlight" "^1.0.0"
 
+"@lezer/markdown@^1.3.0":
+  version "1.3.2"
+  resolved "https://registry.npmjs.org/@lezer/markdown/-/markdown-1.3.2.tgz#9d648b2a6cb47523f3d7ab494eee8c7be4f1ea9e"
+  integrity sha512-Wu7B6VnrKTbBEohqa63h5vxXjiC4pO5ZQJ/TDbhJxPQaaIoRD/6UVDhSDtVsCwVZV12vvN9KxuLL3ATMnlG0oQ==
+  dependencies:
+    "@lezer/common" "^1.0.0"
+    "@lezer/highlight" "^1.0.0"
+
 "@lezer/php@^1.0.0":
   version "1.0.2"
   resolved "https://registry.npmjs.org/@lezer/php/-/php-1.0.2.tgz#7c291631fc1e7f7efe99977522bc48bdc732658a"
@@ -981,12 +1008,12 @@
     "@lezer/highlight" "^1.0.0"
     "@lezer/lr" "^1.0.0"
 
-"@lumino/algorithm@^2.0.1", "@lumino/algorithm@^2.0.2":
+"@lumino/algorithm@^2.0.2":
   version "2.0.2"
   resolved "https://registry.npmjs.org/@lumino/algorithm/-/algorithm-2.0.2.tgz#d211da98c92be0271afde96b949982e29178ae48"
   integrity sha512-cI8yJ2+QK1yM5ZRU3Kuaw9fJ/64JEDZEwWWp7+U0cd/mvcZ44BGdJJ29w+tIet1QXxPAvnsUleWyQ5qm4qUouA==
 
-"@lumino/application@^2.3.1":
+"@lumino/application@^2.4.1":
   version "2.4.1"
   resolved "https://registry.npmjs.org/@lumino/application/-/application-2.4.1.tgz#6d312a4f8f8e14e61d1b784339f552f4a065f1ee"
   integrity sha512-XdCAlNajcsGdK6ep+s6QC70EY+uBnP3kDiWthFLl3EMkvkYwmjOPzIPGlwLEd9Hu0XCO+1Vd2PlpeTnxw5D3/g==
@@ -1002,7 +1029,7 @@
   dependencies:
     "@lumino/algorithm" "^2.0.2"
 
-"@lumino/commands@^2.3.0", "@lumino/commands@^2.3.1":
+"@lumino/commands@^2.3.1":
   version "2.3.1"
   resolved "https://registry.npmjs.org/@lumino/commands/-/commands-2.3.1.tgz#4ab5ec6521fefd3a9ff7ae0983c645483b9ecd07"
   integrity sha512-DpX1kkE4PhILpvK1T4ZnaFb6UP4+YTkdZifvN3nbiomD64O2CTd+wcWIBpZMgy6MMgbVgrE8dzHxHk1EsKxNxw==
@@ -1015,14 +1042,14 @@
     "@lumino/signaling" "^2.1.3"
     "@lumino/virtualdom" "^2.0.2"
 
-"@lumino/coreutils@^1.11.0 || ^2.0.0", "@lumino/coreutils@^1.11.0 || ^2.1.2", "@lumino/coreutils@^2.1.2", "@lumino/coreutils@^2.2.0":
+"@lumino/coreutils@^1.11.0 || ^2.0.0", "@lumino/coreutils@^1.11.0 || ^2.2.0", "@lumino/coreutils@^2.2.0":
   version "2.2.0"
   resolved "https://registry.npmjs.org/@lumino/coreutils/-/coreutils-2.2.0.tgz#3f9d5c36f2513f067b2563c7ad3b33f43905a4e2"
   integrity sha512-x5wnQ/GjWBayJ6vXVaUi6+Q6ETDdcUiH9eSfpRZFbgMQyyM6pi6baKqJBK2CHkCc/YbAEl6ipApTgm3KOJ/I3g==
   dependencies:
     "@lumino/algorithm" "^2.0.2"
 
-"@lumino/datagrid@^2.3.1":
+"@lumino/datagrid@^2.4.1":
   version "2.4.1"
   resolved "https://registry.npmjs.org/@lumino/datagrid/-/datagrid-2.4.1.tgz#6624d170d2695a707fc92d7364a08514778f2a4b"
   integrity sha512-9sJg8UU/hqcKDqO5Rd0Blm2JYKT9nyAK/kuPYeaQc4ZLvtgn4SoOenNaShLDr3Wp54quBM8npAlk1mWG+yYC2g==
@@ -1037,19 +1064,19 @@
     "@lumino/signaling" "^2.1.3"
     "@lumino/widgets" "^2.5.0"
 
-"@lumino/disposable@^1.10.0 || ^2.0.0", "@lumino/disposable@^2.1.2", "@lumino/disposable@^2.1.3":
+"@lumino/disposable@^1.10.0 || ^2.0.0", "@lumino/disposable@^2.1.3":
   version "2.1.3"
   resolved "https://registry.npmjs.org/@lumino/disposable/-/disposable-2.1.3.tgz#cd2b11d82896eb654c2a528c9ff79a85ccf88d74"
   integrity sha512-k5KXy/+T3UItiWHY4WwQawnsJnGo3aNtP5CTRKqo4+tbTNuhc3rTSvygJlNKIbEfIZXW2EWYnwfFDozkYx95eA==
   dependencies:
     "@lumino/signaling" "^2.1.3"
 
-"@lumino/domutils@^2.0.1", "@lumino/domutils@^2.0.2":
+"@lumino/domutils@^2.0.2":
   version "2.0.2"
   resolved "https://registry.npmjs.org/@lumino/domutils/-/domutils-2.0.2.tgz#b05973a179db2da71239976f25194f65c0f8eb98"
   integrity sha512-2Kp6YHaMNI1rKB0PrALvOsZBHPy2EvVVAvJLWjlCm8MpWOVETjFp0MA9QpMubT9I76aKbaI5s1o1NJyZ8Y99pQ==
 
-"@lumino/dragdrop@^2.1.4", "@lumino/dragdrop@^2.1.5":
+"@lumino/dragdrop@^2.1.5":
   version "2.1.5"
   resolved "https://registry.npmjs.org/@lumino/dragdrop/-/dragdrop-2.1.5.tgz#2c178ac3e7520551f08ffb4f31521d87940dcce1"
   integrity sha512-zqwR4GakrQBKZOW6S5pj2nfrQDurOErAoe9x3HS3BKLa1AzWA+t9PD5NESOKd81NqXFHjiMirSyFkTUs6pw+uA==
@@ -1062,7 +1089,7 @@
   resolved "https://registry.npmjs.org/@lumino/keyboard/-/keyboard-2.0.2.tgz#8ff5e360b8960716f45b742845bea6f3c5f44760"
   integrity sha512-icRUpvswDaFjqmAJNbQRb/aTu6Iugo6Y2oC08TiIwhQtLS9W+Ee9VofdqvbPSvCm6DkyP+DCWMuA3KXZ4V4g4g==
 
-"@lumino/messaging@^2.0.1", "@lumino/messaging@^2.0.2":
+"@lumino/messaging@^2.0.2":
   version "2.0.2"
   resolved "https://registry.npmjs.org/@lumino/messaging/-/messaging-2.0.2.tgz#133b94d1fa1c67ad60e622a32acaf682faf05aaa"
   integrity sha512-2sUF07cYA0f3mDil41Eh5sfBk0aGAH/mOh1I4+vyRUsKyBqp4WTUtpJFd8xVJGAntygxwnebIygkIaXXTIQvxA==
@@ -1070,7 +1097,7 @@
     "@lumino/algorithm" "^2.0.2"
     "@lumino/collections" "^2.0.2"
 
-"@lumino/polling@^2.1.2":
+"@lumino/polling@^2.1.3":
   version "2.1.3"
   resolved "https://registry.npmjs.org/@lumino/polling/-/polling-2.1.3.tgz#395fcfba3ada12439d5cc9592b68a89d781a54ed"
   integrity sha512-WEZk96ddK6eHEhdDkFUAAA40EOLit86QVbqQqnbPmhdGwFogek26Kq9b1U273LJeirv95zXCATOJAkjRyb7D+w==
@@ -1079,12 +1106,12 @@
     "@lumino/disposable" "^2.1.3"
     "@lumino/signaling" "^2.1.3"
 
-"@lumino/properties@^2.0.1", "@lumino/properties@^2.0.2":
+"@lumino/properties@^2.0.2":
   version "2.0.2"
   resolved "https://registry.npmjs.org/@lumino/properties/-/properties-2.0.2.tgz#39213876b06a917eae72e8ea38b71daa1c699682"
   integrity sha512-b312oA3Bh97WFK8efXejYmC3DVJmvzJk72LQB7H3fXhfqS5jUWvL7MSnNmgcQvGzl9fIhDWDWjhtSTi0KGYYBg==
 
-"@lumino/signaling@^1.10.0 || ^2.0.0", "@lumino/signaling@^2.1.2", "@lumino/signaling@^2.1.3":
+"@lumino/signaling@^1.10.0 || ^2.0.0", "@lumino/signaling@^2.1.3":
   version "2.1.3"
   resolved "https://registry.npmjs.org/@lumino/signaling/-/signaling-2.1.3.tgz#612419e6948ce77c00328f9eff5ecd995c960a70"
   integrity sha512-9Wd4iMk8F1i6pYjy65bqKuPlzQMicyL9xy1/ccS20kovPcfD074waneL/7BVe+3M8i+fGa3x2qjbWrBzOdTdNw==
@@ -1092,14 +1119,14 @@
     "@lumino/algorithm" "^2.0.2"
     "@lumino/coreutils" "^2.2.0"
 
-"@lumino/virtualdom@^2.0.1", "@lumino/virtualdom@^2.0.2":
+"@lumino/virtualdom@^2.0.2":
   version "2.0.2"
   resolved "https://registry.npmjs.org/@lumino/virtualdom/-/virtualdom-2.0.2.tgz#927c9803ebd31cd97ca2c599ec9a5d509afb3b2d"
   integrity sha512-HYZThOtZSoknjdXA102xpy5CiXtTFCVz45EXdWeYLx3NhuEwuAIX93QBBIhupalmtFlRg1yhdDNV40HxJ4kcXg==
   dependencies:
     "@lumino/algorithm" "^2.0.2"
 
-"@lumino/widgets@^1.37.2 || ^2.3.2", "@lumino/widgets@^2.3.2", "@lumino/widgets@^2.5.0":
+"@lumino/widgets@^1.37.2 || ^2.5.0", "@lumino/widgets@^2.5.0":
   version "2.5.0"
   resolved "https://registry.npmjs.org/@lumino/widgets/-/widgets-2.5.0.tgz#7e37d86dbbc4eed1f85aa199b9fffa4919aa1e3e"
   integrity sha512-RSRpc6aIEiuw79jqWUHYWXLJ2GBy7vhwuqgo94UVzg6oeh3XBECX0OvXGjK2k7N2BhmRrIs9bXky7Dm861S6mQ==
@@ -1126,7 +1153,7 @@
   resolved "https://registry.npmjs.org/@microsoft/fast-element/-/fast-element-1.13.0.tgz#d390ff13697064a48dc6ad6bb332a5f5489f73f8"
   integrity sha512-iFhzKbbD0cFRo9cEzLS3Tdo9BYuatdxmCEKCpZs1Cro/93zNMpZ/Y9/Z7SknmW6fhDZbpBvtO8lLh9TFEcNVAQ==
 
-"@microsoft/fast-foundation@^2.49.4", "@microsoft/fast-foundation@^2.49.6":
+"@microsoft/fast-foundation@^2.49.4":
   version "2.49.6"
   resolved "https://registry.npmjs.org/@microsoft/fast-foundation/-/fast-foundation-2.49.6.tgz#0bdee7d28dcf93918075618359b083a676d2891c"
   integrity sha512-DZVr+J/NIoskFC1Y6xnAowrMkdbf2d5o7UyWK6gW5AiQ6S386Ql8dw4KcC4kHaeE1yL2CKvweE79cj6ZhJhTvA==
@@ -1136,14 +1163,6 @@
     tabbable "^5.2.0"
     tslib "^1.13.0"
 
-"@microsoft/fast-react-wrapper@^0.3.22":
-  version "0.3.24"
-  resolved "https://registry.npmjs.org/@microsoft/fast-react-wrapper/-/fast-react-wrapper-0.3.24.tgz#caed362a95fac88f9715a4b82425c395fba550c2"
-  integrity sha512-sRnSBIKaO42p4mYoYR60spWVkg89wFxFAgQETIMazAm2TxtlsnsGszJnTwVhXq2Uz+XNiD8eKBkfzK5c/i6/Kw==
-  dependencies:
-    "@microsoft/fast-element" "^1.13.0"
-    "@microsoft/fast-foundation" "^2.49.6"
-
 "@microsoft/fast-web-utilities@^5.4.1":
   version "5.4.1"
   resolved "https://registry.npmjs.org/@microsoft/fast-web-utilities/-/fast-web-utilities-5.4.1.tgz#8e3082ee2ff2b5467f17e7cb1fb01b0e4906b71f"
@@ -1151,7 +1170,7 @@
   dependencies:
     exenv-es6 "^1.1.1"
 
-"@playwright/test@^1.43.1", "@playwright/test@^1.48.2":
+"@playwright/test@^1.48.0", "@playwright/test@^1.48.2":
   version "1.48.2"
   resolved "https://registry.npmjs.org/@playwright/test/-/test-1.48.2.tgz#87dd40633f980872283404c8142a65744d3f13d6"
   integrity sha512-54w1xCWfXuax7dz4W2M9uw0gDyh+ti/0K/MxcCUxChFh37kkdxPdfZDw5QBbuPUJHr1CiHJ1hXgSs+GgeQc5Zw==

From e0d5fe86bd50219ac5f63185eabc3595cb5d3e29 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Fri, 25 Oct 2024 13:13:53 +0100
Subject: [PATCH 162/254] Add refresh button to widgets UI

---
 .../common/widgets/test_widgets.py            | 10 +++
 src/codeflare_sdk/common/widgets/widgets.py   | 72 ++++++++++++-------
 2 files changed, 56 insertions(+), 26 deletions(-)

diff --git a/src/codeflare_sdk/common/widgets/test_widgets.py b/src/codeflare_sdk/common/widgets/test_widgets.py
index e01b9193..12c23854 100644
--- a/src/codeflare_sdk/common/widgets/test_widgets.py
+++ b/src/codeflare_sdk/common/widgets/test_widgets.py
@@ -296,6 +296,9 @@ def test_ray_cluster_manager_widgets_init(mocker, capsys):
     assert (
         ray_cluster_manager_instance.ray_dashboard_button == mock_button.return_value
     ), "ray_dashboard_button is not set correctly"
+    assert (
+        ray_cluster_manager_instance.refresh_data_button == mock_button.return_value
+    ), "refresh_data_button is not set correctly"
     assert (
         ray_cluster_manager_instance.raycluster_data_output == mock_output.return_value
     ), "raycluster_data_output is not set correctly"
@@ -310,6 +313,7 @@ def test_ray_cluster_manager_widgets_init(mocker, capsys):
     mock_delete_button = MagicMock()
     mock_list_jobs_button = MagicMock()
     mock_ray_dashboard_button = MagicMock()
+    mock_refresh_dataframe_button = MagicMock()
 
     mock_javascript = mocker.patch("codeflare_sdk.common.widgets.widgets.Javascript")
     ray_cluster_manager_instance.url_output = MagicMock()
@@ -332,6 +336,12 @@ def test_ray_cluster_manager_widgets_init(mocker, capsys):
         f'window.open("{mock_dashboard_uri.return_value}/#/jobs", "_blank");'
     )
 
+    # Simulate clicking the refresh data button
+    ray_cluster_manager_instance._on_refresh_data_button_click(
+        mock_refresh_dataframe_button
+    )
+    mock_fetch_cluster_data.assert_called_with(namespace)
+
     # Simulate clicking the Ray dashboard button
     ray_cluster_manager_instance.classification_widget.value = "test-cluster-1"
     ray_cluster_manager_instance._on_ray_dashboard_button_click(
diff --git a/src/codeflare_sdk/common/widgets/widgets.py b/src/codeflare_sdk/common/widgets/widgets.py
index 8a13a4d4..bc8ebfe3 100644
--- a/src/codeflare_sdk/common/widgets/widgets.py
+++ b/src/codeflare_sdk/common/widgets/widgets.py
@@ -74,6 +74,12 @@ def __init__(self, ray_clusters_df: pd.DataFrame, namespace: str = None):
             tooltip="Open the Ray Dashboard in a new tab",
             layout=widgets.Layout(width="auto"),
         )
+        self.refresh_data_button = widgets.Button(
+            description="Refresh Data",
+            icon="refresh",
+            tooltip="Refresh the list of Ray Clusters",
+            layout=widgets.Layout(width="auto", left="1em"),
+        )
 
         # Set up interactions
         self._initialize_callbacks()
@@ -95,6 +101,9 @@ def _initialize_callbacks(self):
         self.ray_dashboard_button.on_click(
             lambda b: self._on_ray_dashboard_button_click(b)
         )
+        self.refresh_data_button.on_click(
+            lambda b: self._on_refresh_data_button_click(b)
+        )
 
     def _trigger_initial_display(self):
         """
@@ -138,31 +147,17 @@ def _on_delete_button_click(self, b):
         _on_delete_button_click handles the event when the Delete Button is clicked, deleting the selected cluster.
         """
         cluster_name = self.classification_widget.value
-        namespace = self.ray_clusters_df[
-            self.ray_clusters_df["Name"] == self.classification_widget.value
-        ]["Namespace"].values[0]
 
-        _delete_cluster(cluster_name, namespace)
+        _delete_cluster(cluster_name, self.namespace)
 
         with self.user_output:
             self.user_output.clear_output()
             print(
-                f"Cluster {cluster_name} in the {namespace} namespace was deleted successfully."
+                f"Cluster {cluster_name} in the {self.namespace} namespace was deleted successfully."
             )
 
         # Refresh the dataframe
-        new_df = _fetch_cluster_data(namespace)
-        self.ray_clusters_df = new_df
-        if new_df.empty:
-            self.classification_widget.close()
-            self.delete_button.close()
-            self.list_jobs_button.close()
-            self.ray_dashboard_button.close()
-            with self.raycluster_data_output:
-                self.raycluster_data_output.clear_output()
-                print(f"No clusters found in the {namespace} namespace.")
-        else:
-            self.classification_widget.options = new_df["Name"].tolist()
+        self._refresh_dataframe()
 
     def _on_list_jobs_button_click(self, b):
         """
@@ -171,15 +166,12 @@ def _on_list_jobs_button_click(self, b):
         from codeflare_sdk import Cluster
 
         cluster_name = self.classification_widget.value
-        namespace = self.ray_clusters_df[
-            self.ray_clusters_df["Name"] == self.classification_widget.value
-        ]["Namespace"].values[0]
 
         # Suppress from Cluster Object initialisation widgets and outputs
         with widgets.Output(), contextlib.redirect_stdout(
             io.StringIO()
         ), contextlib.redirect_stderr(io.StringIO()):
-            cluster = Cluster(ClusterConfiguration(cluster_name, namespace))
+            cluster = Cluster(ClusterConfiguration(cluster_name, self.namespace))
         dashboard_url = cluster.cluster_dashboard_uri()
 
         with self.user_output:
@@ -197,15 +189,12 @@ def _on_ray_dashboard_button_click(self, b):
         from codeflare_sdk import Cluster
 
         cluster_name = self.classification_widget.value
-        namespace = self.ray_clusters_df[
-            self.ray_clusters_df["Name"] == self.classification_widget.value
-        ]["Namespace"].values[0]
 
         # Suppress from Cluster Object initialisation widgets and outputs
         with widgets.Output(), contextlib.redirect_stdout(
             io.StringIO()
         ), contextlib.redirect_stderr(io.StringIO()):
-            cluster = Cluster(ClusterConfiguration(cluster_name, namespace))
+            cluster = Cluster(ClusterConfiguration(cluster_name, self.namespace))
         dashboard_url = cluster.cluster_dashboard_uri()
 
         with self.user_output:
@@ -214,11 +203,42 @@ def _on_ray_dashboard_button_click(self, b):
         with self.url_output:
             display(Javascript(f'window.open("{dashboard_url}", "_blank");'))
 
+    def _on_refresh_data_button_click(self, b):
+        """
+        _on_refresh_button_click handles the event when the Refresh Data button is clicked, refreshing the list of Ray Clusters.
+        """
+        self.refresh_data_button.disabled = True
+        self._refresh_dataframe()
+        self.refresh_data_button.disabled = False
+
+    def _refresh_dataframe(self):
+        """
+        _refresh_data function refreshes the list of Ray Clusters.
+        """
+        new_df = _fetch_cluster_data(self.namespace)
+        self.ray_clusters_df = new_df
+        if new_df.empty:
+            self.classification_widget.close()
+            self.delete_button.close()
+            self.list_jobs_button.close()
+            self.ray_dashboard_button.close()
+            self.refresh_data_button.close()
+            with self.raycluster_data_output:
+                self.raycluster_data_output.clear_output()
+                print(f"No clusters found in the {self.namespace} namespace.")
+        else:
+            self.classification_widget.options = new_df["Name"].tolist()
+
     def display_widgets(self):
         display(widgets.VBox([self.classification_widget, self.raycluster_data_output]))
         display(
             widgets.HBox(
-                [self.delete_button, self.list_jobs_button, self.ray_dashboard_button]
+                [
+                    self.delete_button,
+                    self.list_jobs_button,
+                    self.ray_dashboard_button,
+                    self.refresh_data_button,
+                ]
             ),
             self.url_output,
             self.user_output,

From 20b08b9131588d111f8042bb4ad67aad70eb75a9 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Wed, 30 Oct 2024 11:34:02 +0000
Subject: [PATCH 163/254] Add refresh button bug fixes and test case to UI e2e
 test

---
 docs/sphinx/user-docs/ui-widgets.rst          |   8 +-
 src/codeflare_sdk/common/widgets/widgets.py   |  78 ++++++++++++------
 .../tests/widget_notebook_example.test.ts     |  40 ++++++---
 .../widgets-cell-0-linux.png                  | Bin 16694 -> 0 bytes
 .../widgets-cell-2-linux.png                  | Bin 42051 -> 0 bytes
 .../widgets-cell-3-linux.png                  | Bin 7513 -> 0 bytes
 .../widgets-cell-4-linux.png                  | Bin 3461 -> 0 bytes
 .../widgets-cell-5-linux.png                  | Bin 9832 -> 0 bytes
 8 files changed, 87 insertions(+), 39 deletions(-)
 delete mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-0-linux.png
 delete mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-2-linux.png
 delete mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-3-linux.png
 delete mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-4-linux.png
 delete mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-5-linux.png

diff --git a/docs/sphinx/user-docs/ui-widgets.rst b/docs/sphinx/user-docs/ui-widgets.rst
index 6c797e04..92335423 100644
--- a/docs/sphinx/user-docs/ui-widgets.rst
+++ b/docs/sphinx/user-docs/ui-widgets.rst
@@ -39,13 +39,15 @@ requests and limits along with the clusters status.
 
 Above is a list of two Ray Clusters ``raytest`` and ``raytest2`` each of
 those headings is clickable and will update the table to view the
-selected Cluster's information. There are three buttons under the table
-``Cluster Down``, ``View Jobs`` and ``Open Ray Dashboard``. \* The
+selected Cluster's information. There are four buttons under the table
+``Cluster Down``, ``View Jobs``, ``Open Ray Dashboard``, and ``Refresh Data``. \* The
 ``Cluster Down`` button will delete the selected Cluster. \* The
 ``View Jobs`` button will try to open the Ray Dashboard's Jobs view in a
 Web Browser. The link will also be printed to the console. \* The
 ``Open Ray Dashboard`` button will try to open the Ray Dashboard view in
-a Web Browser. The link will also be printed to the console.
+a Web Browser. The link will also be printed to the console. \* The
+``Refresh Data`` button will refresh the list of RayClusters, the spec, and
+the status of the Ray Cluster.
 
 The UI Table can be viewed by calling the following function.
 
diff --git a/src/codeflare_sdk/common/widgets/widgets.py b/src/codeflare_sdk/common/widgets/widgets.py
index bc8ebfe3..6f3283ce 100644
--- a/src/codeflare_sdk/common/widgets/widgets.py
+++ b/src/codeflare_sdk/common/widgets/widgets.py
@@ -119,28 +119,8 @@ def _on_cluster_click(self, selection_change):
         _on_cluster_click handles the event when a cluster is selected from the toggle buttons, updating the output with cluster details.
         """
         new_value = selection_change["new"]
-        self.raycluster_data_output.clear_output()
-        ray_clusters_df = _fetch_cluster_data(self.namespace)
-        self.classification_widget.options = ray_clusters_df["Name"].tolist()
-        with self.raycluster_data_output:
-            display(
-                HTML(
-                    ray_clusters_df[ray_clusters_df["Name"] == new_value][
-                        [
-                            "Name",
-                            "Namespace",
-                            "Num Workers",
-                            "Head GPUs",
-                            "Head CPU Req~Lim",
-                            "Head Memory Req~Lim",
-                            "Worker GPUs",
-                            "Worker CPU Req~Lim",
-                            "Worker Memory Req~Lim",
-                            "status",
-                        ]
-                    ].to_html(escape=False, index=False, border=2)
-                )
-            )
+        self.classification_widget.value = new_value
+        self._refresh_dataframe()
 
     def _on_delete_button_click(self, b):
         """
@@ -215,9 +195,8 @@ def _refresh_dataframe(self):
         """
         _refresh_data function refreshes the list of Ray Clusters.
         """
-        new_df = _fetch_cluster_data(self.namespace)
-        self.ray_clusters_df = new_df
-        if new_df.empty:
+        self.ray_clusters_df = _fetch_cluster_data(self.namespace)
+        if self.ray_clusters_df.empty:
             self.classification_widget.close()
             self.delete_button.close()
             self.list_jobs_button.close()
@@ -227,7 +206,54 @@ def _refresh_dataframe(self):
                 self.raycluster_data_output.clear_output()
                 print(f"No clusters found in the {self.namespace} namespace.")
         else:
-            self.classification_widget.options = new_df["Name"].tolist()
+            # Store the current selection if it still exists (Was not previously deleted).
+            selected_cluster = (
+                self.classification_widget.value
+                if self.classification_widget.value
+                in self.ray_clusters_df["Name"].tolist()
+                else None
+            )
+
+            # Update list of Ray Clusters.
+            self.classification_widget.options = self.ray_clusters_df["Name"].tolist()
+
+            # If the selected cluster exists, preserve the selection to remain viewing the currently selected cluster.
+            # If it does not exist, default to the first available cluster.
+            if selected_cluster:
+                self.classification_widget.value = selected_cluster
+            else:
+                self.classification_widget.value = self.ray_clusters_df["Name"].iloc[0]
+
+            # Update the output with the current Ray Cluster details.
+            self._display_cluster_details()
+
+    def _display_cluster_details(self):
+        """
+        _display_cluster_details function displays the selected cluster details in the output widget.
+        """
+        self.raycluster_data_output.clear_output()
+        selected_cluster = self.ray_clusters_df[
+            self.ray_clusters_df["Name"] == self.classification_widget.value
+        ]
+        with self.raycluster_data_output:
+            display(
+                HTML(
+                    selected_cluster[
+                        [
+                            "Name",
+                            "Namespace",
+                            "Num Workers",
+                            "Head GPUs",
+                            "Head CPU Req~Lim",
+                            "Head Memory Req~Lim",
+                            "Worker GPUs",
+                            "Worker CPU Req~Lim",
+                            "Worker Memory Req~Lim",
+                            "status",
+                        ]
+                    ].to_html(escape=False, index=False, border=2)
+                )
+            )
 
     def display_widgets(self):
         display(widgets.VBox([self.classification_widget, self.raycluster_data_output]))
diff --git a/ui-tests/tests/widget_notebook_example.test.ts b/ui-tests/tests/widget_notebook_example.test.ts
index 823a73f4..db746e00 100644
--- a/ui-tests/tests/widget_notebook_example.test.ts
+++ b/ui-tests/tests/widget_notebook_example.test.ts
@@ -36,6 +36,8 @@ test.describe("Visual Regression", () => {
 
     // Hide the cell toolbar before capturing the screenshots
     await page.addStyleTag({ content: '.jp-cell-toolbar { display: none !important; }' });
+    // Hide the file explorer
+    await page.keyboard.press('Control+Shift+F');
 
     const captures: (Buffer | null)[] = []; // Array to store cell screenshots
     const cellCount = await page.notebook.getCellCount();
@@ -109,30 +111,48 @@ test.describe("Visual Regression", () => {
 
     await runPreviousCell(page, cellCount, '(, False)');
 
-    // view_clusters table with buttons
-    await interactWithWidget(page, upDownWidgetCellIndex, 'input[type="checkbox"]', async (checkbox) => {
-      await checkbox.click();
-      const isChecked = await checkbox.isChecked();
-      expect(isChecked).toBe(false);
-    });
+    // Replace text in ClusterConfiguration to run a new RayCluster
+    const cell = page.getByText('raytest').first();
+    await cell.fill('"raytest-1"');
+    await page.notebook.runCell(cellCount - 3, true); // Run ClusterConfiguration cell
 
     await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Up")', async (button) => {
       await button.click();
-      const successMessage = await page.waitForSelector('text=Ray Cluster: \'raytest\' has successfully been created', { timeout: 10000 });
+      const successMessage = await page.waitForSelector('text=Ray Cluster: \'raytest-1\' has successfully been created', { timeout: 10000 });
       expect(successMessage).not.toBeNull();
     });
 
     const viewClustersCellIndex = 4; // 5 on OpenShift
     await page.notebook.runCell(cellCount - 2, true);
+
+    // Wait until the RayCluster status in the table updates to "Ready"
+    await interactWithWidget(page, viewClustersCellIndex, 'button:has-text("Refresh Data")', async (button) => {
+      let clusterReady = false;
+      const maxRefreshRetries = 24; // 24 retries * 5 seconds = 120 seconds
+      let numRefreshRetries = 0;
+      while (!clusterReady && numRefreshRetries < maxRefreshRetries) {
+        await button.click();
+        try {
+          await page.waitForSelector('text=Ready ✓', { timeout: 5000 });
+          clusterReady = true;
+        }
+        catch (e) {
+          console.log(`Cluster not ready yet. Retrying...`);
+          numRefreshRetries++;
+        }
+      }
+      expect(clusterReady).toBe(true);
+    });
+
     await interactWithWidget(page, viewClustersCellIndex, 'button:has-text("Open Ray Dashboard")', async (button) => {
       await button.click();
-      const successMessage = await page.waitForSelector('text=Opening Ray Dashboard for raytest cluster', { timeout: 5000 });
+      const successMessage = await page.waitForSelector('text=Opening Ray Dashboard for raytest-1 cluster', { timeout: 5000 });
       expect(successMessage).not.toBeNull();
     });
 
     await interactWithWidget(page, viewClustersCellIndex, 'button:has-text("View Jobs")', async (button) => {
       await button.click();
-      const successMessage = await page.waitForSelector('text=Opening Ray Jobs Dashboard for raytest cluster', { timeout: 5000 });
+      const successMessage = await page.waitForSelector('text=Opening Ray Jobs Dashboard for raytest-1 cluster', { timeout: 5000 });
       expect(successMessage).not.toBeNull();
     });
 
@@ -141,7 +161,7 @@ test.describe("Visual Regression", () => {
 
       const noClustersMessage = await page.waitForSelector(`text=No clusters found in the ${namespace} namespace.`, { timeout: 5000 });
       expect(noClustersMessage).not.toBeNull();
-      const successMessage = await page.waitForSelector(`text=Cluster raytest in the ${namespace} namespace was deleted successfully.`, { timeout: 5000 });
+      const successMessage = await page.waitForSelector(`text=Cluster raytest-1 in the ${namespace} namespace was deleted successfully.`, { timeout: 5000 });
       expect(successMessage).not.toBeNull();
     });
 
diff --git a/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-0-linux.png b/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-0-linux.png
deleted file mode 100644
index efb098ef7d444d65a0d2be02ebe4f96f27849ccf..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 16694
zcmd74cRZGH+Xq}yq_S6b$cpTdJ&Tf6NythXgi2giGRjH_Nj4#6hDc_TL}e2)Ln2#7
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From a5a229c89d2f8dee318eb8e5aee8923d7ad2c114 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Wed, 30 Oct 2024 11:53:17 +0000
Subject: [PATCH 164/254] Add new snapshots for UI tests and documentation

---
 .../user-docs/images/ui-view-clusters.png     | Bin 28767 -> 36075 bytes
 .../widgets-cell-0-linux.png                  | Bin 0 -> 17092 bytes
 .../widgets-cell-2-linux.png                  | Bin 0 -> 40210 bytes
 .../widgets-cell-3-linux.png                  | Bin 0 -> 7692 bytes
 .../widgets-cell-4-linux.png                  | Bin 0 -> 3512 bytes
 .../widgets-cell-5-linux.png                  | Bin 0 -> 10040 bytes
 6 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-0-linux.png
 create mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-2-linux.png
 create mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-3-linux.png
 create mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-4-linux.png
 create mode 100644 ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-5-linux.png

diff --git a/docs/sphinx/user-docs/images/ui-view-clusters.png b/docs/sphinx/user-docs/images/ui-view-clusters.png
index 259d2dc117ed9fa73d2351032285a63949fa6bbc..f0b123389c2ae8789e6c714279f9233045bd7acb 100644
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z`#Br<90$#RvHIU
Date: Mon, 4 Nov 2024 16:02:10 +0000
Subject: [PATCH 165/254] Bump rich from 12.6.0 to 13.9.4

Bumps [rich](https://github.com/Textualize/rich) from 12.6.0 to 13.9.4.
- [Release notes](https://github.com/Textualize/rich/releases)
- [Changelog](https://github.com/Textualize/rich/blob/master/CHANGELOG.md)
- [Commits](https://github.com/Textualize/rich/commits)

---
updated-dependencies:
- dependency-name: rich
  dependency-type: direct:production
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] 
---
 poetry.lock    | 66 +++++++++++++++++++++++++++++++++-----------------
 pyproject.toml |  2 +-
 2 files changed, 45 insertions(+), 23 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index d5318d08..ef86eafa 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -682,20 +682,6 @@ traitlets = ">=4"
 [package.extras]
 test = ["pytest"]
 
-[[package]]
-name = "commonmark"
-version = "0.9.1"
-description = "Python parser for the CommonMark Markdown spec"
-optional = false
-python-versions = "*"
-files = [
-    {file = "commonmark-0.9.1-py2.py3-none-any.whl", hash = "sha256:da2f38c92590f83de410ba1a3cbceafbc74fee9def35f9251ba9a971d6d66fd9"},
-    {file = "commonmark-0.9.1.tar.gz", hash = "sha256:452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60"},
-]
-
-[package.extras]
-test = ["flake8 (==3.7.8)", "hypothesis (==3.55.3)"]
-
 [[package]]
 name = "coverage"
 version = "7.6.4"
@@ -1787,6 +1773,30 @@ websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
 [package.extras]
 adal = ["adal (>=1.0.2)"]
 
+[[package]]
+name = "markdown-it-py"
+version = "3.0.0"
+description = "Python port of markdown-it. Markdown parsing, done right!"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
+    {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
+]
+
+[package.dependencies]
+mdurl = ">=0.1,<1.0"
+
+[package.extras]
+benchmarking = ["psutil", "pytest", "pytest-benchmark"]
+code-style = ["pre-commit (>=3.0,<4.0)"]
+compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
+linkify = ["linkify-it-py (>=1,<3)"]
+plugins = ["mdit-py-plugins"]
+profiling = ["gprof2dot"]
+rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
+
 [[package]]
 name = "markupsafe"
 version = "2.1.5"
@@ -1870,6 +1880,17 @@ files = [
 [package.dependencies]
 traitlets = "*"
 
+[[package]]
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
+    {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
+]
+
 [[package]]
 name = "memray"
 version = "1.10.0"
@@ -3322,21 +3343,22 @@ files = [
 
 [[package]]
 name = "rich"
-version = "12.6.0"
+version = "13.9.4"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
-python-versions = ">=3.6.3,<4.0.0"
+python-versions = ">=3.8.0"
 files = [
-    {file = "rich-12.6.0-py3-none-any.whl", hash = "sha256:a4eb26484f2c82589bd9a17c73d32a010b1e29d89f1604cd9bf3a2097b81bb5e"},
-    {file = "rich-12.6.0.tar.gz", hash = "sha256:ba3a3775974105c221d31141f2c116f4fd65c5ceb0698657a11e9f295ec93fd0"},
+    {file = "rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90"},
+    {file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"},
 ]
 
 [package.dependencies]
-commonmark = ">=0.9.0,<0.10.0"
-pygments = ">=2.6.0,<3.0.0"
+markdown-it-py = ">=2.2.0"
+pygments = ">=2.13.0,<3.0.0"
+typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
-jupyter = ["ipywidgets (>=7.5.1,<8.0.0)"]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
 [[package]]
 name = "rpds-py"
@@ -4190,4 +4212,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "77ed4d7230a35aead2842b16def52ec47ffaadba1374aaf72ee258a7fed3ec35"
+content-hash = "c1aae8c255de1b3e2e8bcd45f6d4eddb81a395397fd46359500b94af18c8d37c"
diff --git a/pyproject.toml b/pyproject.toml
index cb03f609..c86799b5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -22,7 +22,7 @@ keywords = ['codeflare', 'python', 'sdk', 'client', 'batch', 'scale']
 [tool.poetry.dependencies]
 python = "^3.9"
 openshift-client = "1.0.18"
-rich = "^12.5"
+rich = ">=12.5,<14.0"
 ray = {version = "2.35.0", extras = ["data", "default"]}
 kubernetes = ">= 25.3.0, < 27"
 cryptography = "43.0.3"

From ac1a1dcfd72498b99349b430ddc37082a6f055de Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Tue, 22 Oct 2024 12:37:01 +0100
Subject: [PATCH 166/254] docs: enhance common module code documentation

---
 .../common/kubernetes_cluster/auth.py         | 27 ++++++-
 src/codeflare_sdk/common/kueue/kueue.py       | 65 +++++++++++++++--
 src/codeflare_sdk/common/utils/demos.py       | 10 ++-
 .../common/utils/generate_cert.py             | 73 +++++++++++++++++--
 4 files changed, 156 insertions(+), 19 deletions(-)

diff --git a/src/codeflare_sdk/common/kubernetes_cluster/auth.py b/src/codeflare_sdk/common/kubernetes_cluster/auth.py
index e6146093..db105afc 100644
--- a/src/codeflare_sdk/common/kubernetes_cluster/auth.py
+++ b/src/codeflare_sdk/common/kubernetes_cluster/auth.py
@@ -165,8 +165,20 @@ def load_kube_config(self):
 
 def config_check() -> str:
     """
-    Function for loading the config file at the default config location ~/.kube/config if the user has not
-    specified their own config file or has logged in with their token and server.
+    Check and load the Kubernetes config from the default location.
+
+    This function checks if a Kubernetes config file exists at the default path
+    (`~/.kube/config`). If none is provided, it tries to load in-cluster config.
+    If the `config_path` global variable is set by an external module (e.g., `auth.py`),
+    this path will be used directly.
+
+    Returns:
+        str:
+            The loaded config path if successful.
+
+    Raises:
+        PermissionError:
+            If no valid credentials or config file is found.
     """
     global config_path
     global api_client
@@ -215,7 +227,16 @@ def _gen_ca_cert_path(ca_cert_path: Optional[str]):
 
 
 def get_api_client() -> client.ApiClient:
-    "This function should load the api client with defaults"
+    """
+    Retrieve the Kubernetes API client with the default configuration.
+
+    This function returns the current API client instance if already loaded,
+    or creates a new API client with the default configuration.
+
+    Returns:
+        client.ApiClient:
+            The Kubernetes API client object.
+    """
     if api_client != None:
         return api_client
     to_return = client.ApiClient()
diff --git a/src/codeflare_sdk/common/kueue/kueue.py b/src/codeflare_sdk/common/kueue/kueue.py
index c063c6fe..00f3364a 100644
--- a/src/codeflare_sdk/common/kueue/kueue.py
+++ b/src/codeflare_sdk/common/kueue/kueue.py
@@ -19,8 +19,23 @@
 from kubernetes.client.exceptions import ApiException
 
 
-def get_default_kueue_name(namespace: str):
-    # If the local queue is set, use it. Otherwise, try to use the default queue.
+def get_default_kueue_name(namespace: str) -> Optional[str]:
+    """
+    Retrieves the default Kueue name from the provided namespace.
+
+    This function attempts to fetch the local queues in the given namespace and checks if any of them is annotated
+    as the default queue. If found, the name of the default queue is returned.
+
+    The default queue is marked with the annotation "kueue.x-k8s.io/default-queue" set to "true."
+
+    Args:
+        namespace (str):
+            The Kubernetes namespace where the local queues are located.
+
+    Returns:
+        Optional[str]:
+            The name of the default queue if it exists, otherwise None.
+    """
     try:
         config_check()
         api_instance = client.CustomObjectsApi(get_api_client())
@@ -58,12 +73,14 @@ def list_local_queues(
         Depending on the version of the local queue API, the available flavors may not be present in the response.
 
     Args:
-        namespace (str, optional): The namespace to list local queues from. Defaults to None.
-        flavors (List[str], optional): The flavors to filter local queues by. Defaults to None.
+        namespace (str, optional):
+            The namespace to list local queues from. Defaults to None.
+        flavors (List[str], optional):
+            The flavors to filter local queues by. Defaults to None.
     Returns:
-        List[dict]: A list of dictionaries containing the name of the local queue and the available flavors
+        List[dict]:
+            A list of dictionaries containing the name of the local queue and the available flavors
     """
-
     from ...ray.cluster.cluster import get_current_namespace
 
     if namespace is None:  # pragma: no cover
@@ -92,8 +109,22 @@ def list_local_queues(
     return to_return
 
 
-def local_queue_exists(namespace: str, local_queue_name: str):
-    # get all local queues in the namespace
+def local_queue_exists(namespace: str, local_queue_name: str) -> bool:
+    """
+    Checks if a local queue with the provided name exists in the given namespace.
+
+    This function queries the local queues in the specified namespace and verifies if any queue matches the given name.
+
+    Args:
+        namespace (str):
+            The namespace where the local queues are located.
+        local_queue_name (str):
+            The name of the local queue to check for existence.
+
+    Returns:
+        bool:
+            True if the local queue exists, False otherwise.
+    """
     try:
         config_check()
         api_instance = client.CustomObjectsApi(get_api_client())
@@ -113,6 +144,24 @@ def local_queue_exists(namespace: str, local_queue_name: str):
 
 
 def add_queue_label(item: dict, namespace: str, local_queue: Optional[str]):
+    """
+    Adds a local queue name label to the provided item.
+
+    If the local queue is not provided, the default local queue for the namespace is used. The function validates if the
+    local queue exists, and if it does, the local queue name label is added to the resource metadata.
+
+    Args:
+        item (dict):
+            The resource where the label will be added.
+        namespace (str):
+            The namespace of the local queue.
+        local_queue (str, optional):
+            The name of the local queue to use. Defaults to None.
+
+    Raises:
+        ValueError:
+            If the provided or default local queue does not exist in the namespace.
+    """
     lq_name = local_queue or get_default_kueue_name(namespace)
     if lq_name == None:
         return
diff --git a/src/codeflare_sdk/common/utils/demos.py b/src/codeflare_sdk/common/utils/demos.py
index 485f47f8..5c546fe9 100644
--- a/src/codeflare_sdk/common/utils/demos.py
+++ b/src/codeflare_sdk/common/utils/demos.py
@@ -13,10 +13,14 @@ def copy_demo_nbs(dir: str = "./demo-notebooks", overwrite: bool = False):
     Any files that exist in the directory that don't match these values will remain untouched.
 
     Args:
-        dir (str): The directory to copy the demo notebooks to. Defaults to "./demo-notebooks". overwrite (bool):
-        overwrite (bool): Whether to overwrite files in the directory if it already exists. Defaults to False.
+        dir (str):
+            The directory to copy the demo notebooks to. Defaults to "./demo-notebooks".
+        overwrite (bool):
+            Whether to overwrite files in the directory if it already exists. Defaults to False.
+
     Raises:
-        FileExistsError: If the directory already exists.
+        FileExistsError:
+            If the directory already exists.
     """
     # does dir exist already?
     if overwrite is False and pathlib.Path(dir).exists():
diff --git a/src/codeflare_sdk/common/utils/generate_cert.py b/src/codeflare_sdk/common/utils/generate_cert.py
index 014d192d..7c072da0 100644
--- a/src/codeflare_sdk/common/utils/generate_cert.py
+++ b/src/codeflare_sdk/common/utils/generate_cert.py
@@ -28,10 +28,20 @@
 
 
 def generate_ca_cert(days: int = 30):
-    # Generate base64 encoded ca.key and ca.cert
-    # Similar to:
-    # openssl req -x509 -nodes -newkey rsa:2048 -keyout ca.key -days 1826 -out ca.crt -subj '/CN=root-ca'
-    # base64 -i ca.crt -i ca.key
+    """
+    Generates a self-signed CA certificate and private key, encoded in base64 format.
+
+    Similar to:
+        openssl req -x509 -nodes -newkey rsa:2048 -keyout ca.key -days 1826 -out ca.crt -subj '/CN=root-ca'
+
+    Args:
+        days (int):
+            The number of days for which the CA certificate will be valid. Default is 30.
+
+    Returns:
+        Tuple[str, str]:
+            A tuple containing the base64-encoded private key and CA certificate.
+    """
 
     private_key = rsa.generate_private_key(
         public_exponent=65537,
@@ -79,6 +89,25 @@ def generate_ca_cert(days: int = 30):
 
 
 def get_secret_name(cluster_name, namespace, api_instance):
+    """
+    Retrieves the name of the Kubernetes secret containing the CA certificate for the given Ray cluster.
+
+    Args:
+        cluster_name (str):
+            The name of the Ray cluster.
+        namespace (str):
+            The Kubernetes namespace where the Ray cluster is located.
+        api_instance (client.CoreV1Api):
+            An instance of the Kubernetes CoreV1Api.
+
+    Returns:
+        str:
+            The name of the Kubernetes secret containing the CA certificate.
+
+    Raises:
+        KeyError:
+            If no secret matching the cluster name is found.
+    """
     label_selector = f"ray.openshift.ai/cluster-name={cluster_name}"
     try:
         secrets = api_instance.list_namespaced_secret(
@@ -97,7 +126,26 @@ def get_secret_name(cluster_name, namespace, api_instance):
 
 
 def generate_tls_cert(cluster_name, namespace, days=30):
-    # Create a folder tls-- and store three files: ca.crt, tls.crt, and tls.key
+    """
+    Generates a TLS certificate and key for a Ray cluster, saving them locally along with the CA certificate.
+
+    Args:
+        cluster_name (str):
+            The name of the Ray cluster.
+        namespace (str):
+            The Kubernetes namespace where the Ray cluster is located.
+        days (int):
+            The number of days for which the TLS certificate will be valid. Default is 30.
+
+    Files Created:
+        - ca.crt: The CA certificate.
+        - tls.crt: The TLS certificate signed by the CA.
+        - tls.key: The private key for the TLS certificate.
+
+    Raises:
+        Exception:
+            If an error occurs while retrieving the CA secret.
+    """
     tls_dir = os.path.join(os.getcwd(), f"tls-{cluster_name}-{namespace}")
     if not os.path.exists(tls_dir):
         os.makedirs(tls_dir)
@@ -181,6 +229,21 @@ def generate_tls_cert(cluster_name, namespace, days=30):
 
 
 def export_env(cluster_name, namespace):
+    """
+    Sets environment variables to configure TLS for a Ray cluster.
+
+    Args:
+        cluster_name (str):
+            The name of the Ray cluster.
+        namespace (str):
+            The Kubernetes namespace where the Ray cluster is located.
+
+    Environment Variables Set:
+        - RAY_USE_TLS: Enables TLS for Ray.
+        - RAY_TLS_SERVER_CERT: Path to the TLS server certificate.
+        - RAY_TLS_SERVER_KEY: Path to the TLS server private key.
+        - RAY_TLS_CA_CERT: Path to the CA certificate.
+    """
     tls_dir = os.path.join(os.getcwd(), f"tls-{cluster_name}-{namespace}")
     os.environ["RAY_USE_TLS"] = "1"
     os.environ["RAY_TLS_SERVER_CERT"] = os.path.join(tls_dir, "tls.crt")

From 63ee4ae9900732cc3bbda69dbc2e04114ea864e9 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Fri, 1 Nov 2024 10:39:07 +0000
Subject: [PATCH 167/254] ci: add autogenerated rst files to .gitignore

---
 .gitignore | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.gitignore b/.gitignore
index 52304a62..43684cb4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -14,4 +14,7 @@ ui-tests/playwright-report
 ui-tests/test-results
 /src/codeflare_sdk.egg-info/
 docs/sphinx/_build
+docs/sphinx/codeflare_sdk.*.rst
+docs/sphinx/codeflare_sdk.rst
+docs/sphinx/modules.rst
 .idea/

From d1f63c3798865f4825be0f9b48a816b3976add6c Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 31 Oct 2024 14:37:43 +0000
Subject: [PATCH 168/254] refactor: creation of ray cluster/appwrapper

---
 .../ray/cluster/build_ray_cluster.py          | 553 ++++++++++++++++++
 src/codeflare_sdk/ray/cluster/cluster.py      | 337 ++++++-----
 src/codeflare_sdk/ray/cluster/config.py       |   8 -
 .../ray/cluster/generate_yaml.py              | 308 ----------
 .../ray/templates/base-template.yaml          | 192 ------
 5 files changed, 746 insertions(+), 652 deletions(-)
 create mode 100644 src/codeflare_sdk/ray/cluster/build_ray_cluster.py
 delete mode 100755 src/codeflare_sdk/ray/cluster/generate_yaml.py
 delete mode 100644 src/codeflare_sdk/ray/templates/base-template.yaml

diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
new file mode 100644
index 00000000..e590d483
--- /dev/null
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -0,0 +1,553 @@
+# Copyright 2024 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""
+    This sub-module exists primarily to be used internally by the Cluster object
+    (in the cluster sub-module) for RayCluster/AppWrapper generation.
+"""
+from typing import Union, Tuple, Dict
+from ...common import _kube_api_error_handling
+from ...common.kubernetes_cluster import get_api_client, config_check
+from kubernetes.client.exceptions import ApiException
+import codeflare_sdk
+import os
+
+from kubernetes import client
+from kubernetes.client import (
+    V1ObjectMeta,
+    V1KeyToPath,
+    V1ConfigMapVolumeSource,
+    V1Volume,
+    V1VolumeMount,
+    V1ResourceRequirements,
+    V1Container,
+    V1ContainerPort,
+    V1Lifecycle,
+    V1ExecAction,
+    V1LifecycleHandler,
+    V1EnvVar,
+    V1PodTemplateSpec,
+    V1PodSpec,
+    V1LocalObjectReference,
+)
+
+import yaml
+import uuid
+import sys
+import warnings
+import json
+
+FORBIDDEN_CUSTOM_RESOURCE_TYPES = ["GPU", "CPU", "memory"]
+VOLUME_MOUNTS = [
+    V1VolumeMount(
+        mount_path="/etc/pki/tls/certs/odh-trusted-ca-bundle.crt",
+        name="odh-trusted-ca-cert",
+        sub_path="odh-trusted-ca-bundle.crt",
+    ),
+    V1VolumeMount(
+        mount_path="/etc/ssl/certs/odh-trusted-ca-bundle.crt",
+        name="odh-trusted-ca-cert",
+        sub_path="odh-trusted-ca-bundle.crt",
+    ),
+    V1VolumeMount(
+        mount_path="/etc/pki/tls/certs/odh-ca-bundle.crt",
+        name="odh-ca-cert",
+        sub_path="odh-ca-bundle.crt",
+    ),
+    V1VolumeMount(
+        mount_path="/etc/ssl/certs/odh-ca-bundle.crt",
+        name="odh-ca-cert",
+        sub_path="odh-ca-bundle.crt",
+    ),
+]
+
+VOLUMES = [
+    V1Volume(
+        name="odh-trusted-ca-cert",
+        config_map=V1ConfigMapVolumeSource(
+            name="odh-trusted-ca-bundle",
+            items=[V1KeyToPath(key="ca-bundle.crt", path="odh-trusted-ca-bundle.crt")],
+            optional=True,
+        ),
+    ),
+    V1Volume(
+        name="odh-ca-cert",
+        config_map=V1ConfigMapVolumeSource(
+            name="odh-trusted-ca-bundle",
+            items=[V1KeyToPath(key="odh-ca-bundle.crt", path="odh-ca-bundle.crt")],
+            optional=True,
+        ),
+    ),
+]
+
+SUPPORTED_PYTHON_VERSIONS = {
+    "3.9": "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06",
+    "3.11": "quay.io/modh/ray@sha256:db667df1bc437a7b0965e8031e905d3ab04b86390d764d120e05ea5a5c18d1b4",
+}
+
+
+# RayCluster/AppWrapper builder function
+def build_ray_cluster(cluster: "codeflare_sdk.ray.cluster.Cluster"):
+    """build_ray_cluster is used for creating a Ray Cluster/AppWrapper dict
+
+    The resource is a dict template which uses Kubernetes Objects for creating metadata, resource requests,
+    specs and containers. The result is sanitised and returned either as a dict or written as a yaml file.
+    """
+    ray_version = "2.35.0"
+
+    # GPU related variables
+    head_gpu_count, worker_gpu_count = head_worker_gpu_count_from_cluster(cluster)
+    head_resources, worker_resources = head_worker_extended_resources_from_cluster(
+        cluster
+    )
+    head_resources = json.dumps(head_resources).replace('"', '\\"')
+    head_resources = f'"{head_resources}"'
+    worker_resources = json.dumps(worker_resources).replace('"', '\\"')
+    worker_resources = f'"{worker_resources}"'
+
+    # Create the Ray Cluster using the V1RayCluster Object
+    resource = {
+        "apiVersion": "ray.io/v1",
+        "kind": "RayCluster",
+        "metadata": get_metadata(cluster),
+        "spec": {
+            "rayVersion": ray_version,
+            "enableInTreeAutoscaling": False,
+            "autoscalerOptions": {
+                "upscalingMode": "Default",
+                "idleTimeoutSeconds": 60,
+                "resources": get_resources("500m", "500m", "512Mi", "512Mi"),
+            },
+            "headGroupSpec": {
+                "serviceType": "ClusterIP",
+                "enableIngress": False,
+                "rayStartParams": {
+                    "dashboard-host": "0.0.0.0",
+                    "block": "true",
+                    "num-gpus": str(head_gpu_count),
+                    "resources": head_resources,
+                },
+                "template": {
+                    "spec": get_pod_spec(cluster, [get_head_container_spec(cluster)])
+                },
+            },
+            "workerGroupSpecs": [
+                {
+                    "replicas": cluster.config.num_workers,
+                    "minReplicas": cluster.config.num_workers,
+                    "maxReplicas": cluster.config.num_workers,
+                    "groupName": f"small-group-{cluster.config.name}",
+                    "rayStartParams": {
+                        "block": "true",
+                        "num-gpus": str(worker_gpu_count),
+                        "resources": worker_resources,
+                    },
+                    "template": V1PodTemplateSpec(
+                        spec=get_pod_spec(cluster, [get_worker_container_spec(cluster)])
+                    ),
+                }
+            ],
+        },
+    }
+
+    config_check()
+    k8s_client = get_api_client() or client.ApiClient()
+
+    if cluster.config.appwrapper:
+        # Wrap the Ray Cluster in an AppWrapper
+        appwrapper_name, _ = gen_names(cluster.config.name)
+        resource = wrap_cluster(cluster, appwrapper_name, resource)
+
+    resource = k8s_client.sanitize_for_serialization(resource)
+
+    # write_to_file functionality
+    if cluster.config.write_to_file:
+        return write_to_file(cluster, resource)  # Writes the file and returns its name
+    else:
+        print(f"Yaml resources loaded for {cluster.config.name}")
+        return resource  # Returns the Resource as a dict
+
+
+# Metadata related functions
+def get_metadata(cluster: "codeflare_sdk.ray.cluster.Cluster"):
+    """
+    The get_metadata() function builds and returns a V1ObjectMeta Object using cluster configurtation parameters
+    """
+    object_meta = V1ObjectMeta(
+        name=cluster.config.name,
+        namespace=cluster.config.namespace,
+        labels=get_labels(cluster),
+    )
+
+    # Get the NB annotation if it exists - could be useful in future for a "annotations" parameter.
+    annotations = get_nb_annotations()
+    if annotations != {}:
+        object_meta.annotations = annotations  # As annotations are not a guarantee they are appended to the metadata after creation.
+    return object_meta
+
+
+def get_labels(cluster: "codeflare_sdk.ray.cluster.Cluster"):
+    """
+    The get_labels() function generates a dict "labels" which includes the base label, local queue label and user defined labels
+    """
+    labels = {
+        "controller-tools.k8s.io": "1.0",
+    }
+    if cluster.config.labels != {}:
+        labels.update(cluster.config.labels)
+
+    if cluster.config.appwrapper is False:
+        add_queue_label(cluster, labels)
+
+    return labels
+
+
+def get_nb_annotations():
+    """
+    The get_nb_annotations() function generates the annotation for NB Prefix if the SDK is running in a notebook
+    """
+    annotations = {}
+
+    # Notebook annotation
+    nb_prefix = os.environ.get("NB_PREFIX")
+    if nb_prefix:
+        annotations.update({"app.kubernetes.io/managed-by": nb_prefix})
+
+    return annotations
+
+
+# Head/Worker container related functions
+def update_image(image) -> str:
+    """
+    The update_image() function automatically sets the image config parameter to a preset image based on Python version if not specified.
+    If no Ray image exists for the given Python version a warning is produced.
+    """
+    if not image:
+        python_version = f"{sys.version_info.major}.{sys.version_info.minor}"
+        if python_version in SUPPORTED_PYTHON_VERSIONS:
+            image = SUPPORTED_PYTHON_VERSIONS[python_version]
+        else:
+            warnings.warn(
+                f"No default Ray image defined for {python_version}. Please provide your own image or use one of the following python versions: {', '.join(SUPPORTED_PYTHON_VERSIONS.keys())}."
+            )
+    return image
+
+
+def get_pod_spec(cluster: "codeflare_sdk.ray.cluster.Cluster", containers):
+    """
+    The get_pod_spec() function generates a V1PodSpec for the head/worker containers
+    """
+    pod_spec = V1PodSpec(
+        containers=containers,
+        volumes=VOLUMES,
+    )
+    if cluster.config.image_pull_secrets != []:
+        pod_spec.image_pull_secrets = generate_image_pull_secrets(cluster)
+
+    return pod_spec
+
+
+def generate_image_pull_secrets(cluster: "codeflare_sdk.ray.cluster.Cluster"):
+    """
+    The generate_image_pull_secrets() methods generates a list of V1LocalObjectReference including each of the specified image pull secrets
+    """
+    pull_secrets = []
+    for pull_secret in cluster.config.image_pull_secrets:
+        pull_secrets.append(V1LocalObjectReference(name=pull_secret))
+
+    return pull_secrets
+
+
+def get_head_container_spec(
+    cluster: "codeflare_sdk.ray.cluster.Cluster",
+):
+    """
+    The get_head_container_spec() function builds and returns a V1Container object including user defined resource requests/limits
+    """
+    head_container = V1Container(
+        name="ray-head",
+        image=update_image(cluster.config.image),
+        image_pull_policy="Always",
+        ports=[
+            V1ContainerPort(name="gcs", container_port=6379),
+            V1ContainerPort(name="dashboard", container_port=8265),
+            V1ContainerPort(name="client", container_port=10001),
+        ],
+        lifecycle=V1Lifecycle(
+            pre_stop=V1LifecycleHandler(
+                _exec=V1ExecAction(["/bin/sh", "-c", "ray stop"])
+            )
+        ),
+        resources=get_resources(
+            cluster.config.head_cpu_requests,
+            cluster.config.head_cpu_limits,
+            cluster.config.head_memory_requests,
+            cluster.config.head_memory_limits,
+            cluster.config.head_extended_resource_requests,
+        ),
+        volume_mounts=VOLUME_MOUNTS,
+    )
+    if cluster.config.envs != {}:
+        head_container.env = generate_env_vars(cluster)
+
+    return head_container
+
+
+def generate_env_vars(cluster: "codeflare_sdk.ray.cluster.Cluster"):
+    """
+    The generate_env_vars() builds and returns a V1EnvVar object which is populated by user specified environment variables
+    """
+    envs = []
+    for key, value in cluster.config.envs.items():
+        env_var = V1EnvVar(name=key, value=value)
+        envs.append(env_var)
+
+    return envs
+
+
+def get_worker_container_spec(
+    cluster: "codeflare_sdk.ray.cluster.Cluster",
+):
+    """
+    The get_worker_container_spec() function builds and returns a V1Container object including user defined resource requests/limits
+    """
+    worker_container = V1Container(
+        name="machine-learning",
+        image=update_image(cluster.config.image),
+        image_pull_policy="Always",
+        lifecycle=V1Lifecycle(
+            pre_stop=V1LifecycleHandler(
+                _exec=V1ExecAction(["/bin/sh", "-c", "ray stop"])
+            )
+        ),
+        resources=get_resources(
+            cluster.config.worker_cpu_requests,
+            cluster.config.worker_cpu_limits,
+            cluster.config.worker_memory_requests,
+            cluster.config.worker_memory_limits,
+            cluster.config.worker_extended_resource_requests,
+        ),
+        volume_mounts=VOLUME_MOUNTS,
+    )
+
+    if cluster.config.envs != {}:
+        worker_container.env = generate_env_vars(cluster)
+
+    return worker_container
+
+
+def get_resources(
+    cpu_requests: Union[int, str],
+    cpu_limits: Union[int, str],
+    memory_requests: Union[int, str],
+    memory_limits: Union[int, str],
+    custom_extended_resource_requests: Dict[str, int] = None,
+):
+    """
+    The get_resources() function generates a V1ResourceRequirements object for cpu/memory request/limits and GPU resources
+    """
+    resource_requirements = V1ResourceRequirements(
+        requests={"cpu": cpu_requests, "memory": memory_requests},
+        limits={"cpu": cpu_limits, "memory": memory_limits},
+    )
+
+    # Append the resource/limit requests with custom extended resources
+    if custom_extended_resource_requests is not None:
+        for k in custom_extended_resource_requests.keys():
+            resource_requirements.limits[k] = custom_extended_resource_requests[k]
+            resource_requirements.requests[k] = custom_extended_resource_requests[k]
+
+    return resource_requirements
+
+
+# GPU related functions
+def head_worker_gpu_count_from_cluster(
+    cluster: "codeflare_sdk.ray.cluster.Cluster",
+) -> Tuple[int, int]:
+    """
+    The head_worker_gpu_count_from_cluster() function returns the total number of requested GPUs for the head and worker separately
+    """
+    head_gpus = 0
+    worker_gpus = 0
+    for k in cluster.config.head_extended_resource_requests.keys():
+        resource_type = cluster.config.extended_resource_mapping[k]
+        if resource_type == "GPU":
+            head_gpus += int(cluster.config.head_extended_resource_requests[k])
+    for k in cluster.config.worker_extended_resource_requests.keys():
+        resource_type = cluster.config.extended_resource_mapping[k]
+        if resource_type == "GPU":
+            worker_gpus += int(cluster.config.worker_extended_resource_requests[k])
+
+    return head_gpus, worker_gpus
+
+
+def head_worker_extended_resources_from_cluster(
+    cluster: "codeflare_sdk.ray.cluster.Cluster",
+) -> Tuple[dict, dict]:
+    """
+    The head_worker_extended_resources_from_cluster() function returns 2 dicts for head/worker respectively populated by the GPU type requested by the user
+    """
+    head_worker_extended_resources = {}, {}
+    for k in cluster.config.head_extended_resource_requests.keys():
+        resource_type = cluster.config.extended_resource_mapping[k]
+        if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES:
+            continue
+        head_worker_extended_resources[0][
+            resource_type
+        ] = cluster.config.head_extended_resource_requests[
+            k
+        ] + head_worker_extended_resources[
+            0
+        ].get(
+            resource_type, 0
+        )
+
+    for k in cluster.config.worker_extended_resource_requests.keys():
+        resource_type = cluster.config.extended_resource_mapping[k]
+        if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES:
+            continue
+        head_worker_extended_resources[1][
+            resource_type
+        ] = cluster.config.worker_extended_resource_requests[
+            k
+        ] + head_worker_extended_resources[
+            1
+        ].get(
+            resource_type, 0
+        )
+    return head_worker_extended_resources
+
+
+# Local Queue related functions
+def add_queue_label(cluster: "codeflare_sdk.ray.cluster.Cluster", labels: dict):
+    """
+    The add_queue_label() function updates the given base labels with the local queue label if Kueue exists on the Cluster
+    """
+    lq_name = cluster.config.local_queue or get_default_local_queue(cluster, labels)
+    if lq_name == None:
+        return
+    elif not local_queue_exists(cluster):
+        raise ValueError(
+            "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
+        )
+    labels.update({"kueue.x-k8s.io/queue-name": lq_name})
+
+
+def local_queue_exists(cluster: "codeflare_sdk.ray.cluster.Cluster"):
+    """
+    The local_queue_exists() checks if the user inputted local_queue exists in the given namespace and returns a bool
+    """
+    # get all local queues in the namespace
+    try:
+        config_check()
+        api_instance = client.CustomObjectsApi(get_api_client())
+        local_queues = api_instance.list_namespaced_custom_object(
+            group="kueue.x-k8s.io",
+            version="v1beta1",
+            namespace=cluster.config.namespace,
+            plural="localqueues",
+        )
+    except Exception as e:  # pragma: no cover
+        return _kube_api_error_handling(e)
+    # check if local queue with the name provided in cluster config exists
+    for lq in local_queues["items"]:
+        if lq["metadata"]["name"] == cluster.config.local_queue:
+            return True
+    return False
+
+
+def get_default_local_queue(cluster: "codeflare_sdk.ray.cluster.Cluster", labels: dict):
+    """
+    The get_default_local_queue() function attempts to find a local queue with the default label == true, if that is the case the labels variable is updated with that local queue
+    """
+    try:
+        # Try to get the default local queue if it exists and append the label list
+        config_check()
+        api_instance = client.CustomObjectsApi(get_api_client())
+        local_queues = api_instance.list_namespaced_custom_object(
+            group="kueue.x-k8s.io",
+            version="v1beta1",
+            namespace=cluster.config.namespace,
+            plural="localqueues",
+        )
+    except ApiException as e:  # pragma: no cover
+        if e.status == 404 or e.status == 403:
+            return
+        else:
+            return _kube_api_error_handling(e)
+
+    for lq in local_queues["items"]:
+        if (
+            "annotations" in lq["metadata"]
+            and "kueue.x-k8s.io/default-queue" in lq["metadata"]["annotations"]
+            and lq["metadata"]["annotations"]["kueue.x-k8s.io/default-queue"].lower()
+            == "true"
+        ):
+            labels.update({"kueue.x-k8s.io/queue-name": lq["metadata"]["name"]})
+
+
+# AppWrapper related functions
+def wrap_cluster(
+    cluster: "codeflare_sdk.ray.cluster.Cluster",
+    appwrapper_name: str,
+    ray_cluster_yaml: dict,
+):
+    """
+    Wraps the pre-built Ray Cluster dict in an AppWrapper
+    """
+    wrapping = {
+        "apiVersion": "workload.codeflare.dev/v1beta2",
+        "kind": "AppWrapper",
+        "metadata": {"name": appwrapper_name, "namespace": cluster.config.namespace},
+        "spec": {"components": [{"template": ray_cluster_yaml}]},
+    }
+    # Add local queue label if it is necessary
+    labels = {}
+    add_queue_label(cluster, labels)
+    if labels != {}:
+        wrapping["metadata"]["labels"] = labels
+
+    return wrapping
+
+
+# Etc.
+def write_to_file(cluster: "codeflare_sdk.ray.cluster.Cluster", resource: dict):
+    """
+    The write_to_file function writes the built Ray Cluster/AppWrapper dict as a yaml file in the .codeflare folder
+    """
+    directory_path = os.path.expanduser("~/.codeflare/resources/")
+    output_file_name = os.path.join(directory_path, cluster.config.name + ".yaml")
+
+    directory_path = os.path.dirname(output_file_name)
+    if not os.path.exists(directory_path):
+        os.makedirs(directory_path)
+
+    with open(output_file_name, "w") as outfile:
+        yaml.dump(resource, outfile, default_flow_style=False)
+
+    print(f"Written to: {output_file_name}")
+    return output_file_name
+
+
+def gen_names(name):
+    """
+    Generates a unique name for the appwrapper and Ray Cluster
+    """
+    if not name:
+        gen_id = str(uuid.uuid4())
+        appwrapper_name = "appwrapper-" + gen_id
+        cluster_name = "cluster-" + gen_id
+        return appwrapper_name, cluster_name
+    else:
+        return name, name
diff --git a/src/codeflare_sdk/ray/cluster/cluster.py b/src/codeflare_sdk/ray/cluster/cluster.py
index da87639c..fe29eaa9 100644
--- a/src/codeflare_sdk/ray/cluster/cluster.py
+++ b/src/codeflare_sdk/ray/cluster/cluster.py
@@ -28,12 +28,9 @@
     get_api_client,
 )
 from . import pretty_print
-from .generate_yaml import (
-    generate_appwrapper,
-    head_worker_gpu_count_from_cluster,
-)
+from .build_ray_cluster import build_ray_cluster, head_worker_gpu_count_from_cluster
+from .build_ray_cluster import write_to_file as write_cluster_to_file
 from ...common import _kube_api_error_handling
-from .generate_yaml import is_openshift_cluster
 
 from .config import ClusterConfiguration
 from .status import (
@@ -56,6 +53,7 @@
 
 from kubernetes import config
 from kubernetes.client.rest import ApiException
+import warnings
 
 
 class Cluster:
@@ -74,9 +72,15 @@ def __init__(self, config: ClusterConfiguration):
         request.
         """
         self.config = config
-        self.app_wrapper_yaml = self.create_app_wrapper()
+        if self.config is None:
+            warnings.warn(
+                "Please provide a ClusterConfiguration to initialise the Cluster object"
+            )
+            return
+        else:
+            self.resource_yaml = self.create_resource()
+
         self._job_submission_client = None
-        self.app_wrapper_name = self.config.name
         if is_notebook():
             cluster_up_down_buttons(self)
 
@@ -91,7 +95,7 @@ def _client_headers(self):
 
     @property
     def _client_verify_tls(self):
-        if not is_openshift_cluster or not self.config.verify_tls:
+        if not _is_openshift_cluster or not self.config.verify_tls:
             return False
         return True
 
@@ -100,7 +104,7 @@ def job_client(self):
         k8client = get_api_client()
         if self._job_submission_client:
             return self._job_submission_client
-        if is_openshift_cluster():
+        if _is_openshift_cluster():
             self._job_submission_client = JobSubmissionClient(
                 self.cluster_dashboard_uri(),
                 headers=self._client_headers,
@@ -112,7 +116,7 @@ def job_client(self):
             )
         return self._job_submission_client
 
-    def create_app_wrapper(self):
+    def create_resource(self):
         """
         Called upon cluster object creation, creates an AppWrapper yaml based on
         the specifications of the ClusterConfiguration.
@@ -127,7 +131,7 @@ def create_app_wrapper(self):
                     f"Namespace {self.config.namespace} is of type {type(self.config.namespace)}. Check your Kubernetes Authentication."
                 )
 
-        return generate_appwrapper(self)
+        return build_ray_cluster(self)
 
     # creates a new cluster with the provided or default spec
     def up(self):
@@ -146,7 +150,7 @@ def up(self):
             api_instance = client.CustomObjectsApi(get_api_client())
             if self.config.appwrapper:
                 if self.config.write_to_file:
-                    with open(self.app_wrapper_yaml) as f:
+                    with open(self.resource_yaml) as f:
                         aw = yaml.load(f, Loader=yaml.FullLoader)
                         api_instance.create_namespaced_custom_object(
                             group="workload.codeflare.dev",
@@ -156,13 +160,12 @@ def up(self):
                             body=aw,
                         )
                 else:
-                    aw = yaml.safe_load(self.app_wrapper_yaml)
                     api_instance.create_namespaced_custom_object(
                         group="workload.codeflare.dev",
                         version="v1beta2",
                         namespace=namespace,
                         plural="appwrappers",
-                        body=aw,
+                        body=self.resource_yaml,
                     )
                 print(f"AppWrapper: '{self.config.name}' has successfully been created")
             else:
@@ -198,6 +201,7 @@ def down(self):
         associated with the cluster.
         """
         namespace = self.config.namespace
+        resource_name = self.config.name
         self._throw_for_no_raycluster()
         try:
             config_check()
@@ -208,11 +212,11 @@ def down(self):
                     version="v1beta2",
                     namespace=namespace,
                     plural="appwrappers",
-                    name=self.app_wrapper_name,
+                    name=resource_name,
                 )
-                print(f"AppWrapper: '{self.config.name}' has successfully been deleted")
+                print(f"AppWrapper: '{resource_name}' has successfully been deleted")
             else:
-                self._component_resources_down(namespace, api_instance)
+                _delete_resources(resource_name, namespace, api_instance)
                 print(
                     f"Ray Cluster: '{self.config.name}' has successfully been deleted"
                 )
@@ -358,7 +362,7 @@ def cluster_dashboard_uri(self) -> str:
         Returns a string containing the cluster's dashboard URI.
         """
         config_check()
-        if is_openshift_cluster():
+        if _is_openshift_cluster():
             try:
                 api_instance = client.CustomObjectsApi(get_api_client())
                 routes = api_instance.list_namespaced_custom_object(
@@ -442,67 +446,6 @@ def _head_worker_extended_resources_from_rc_dict(rc: Dict) -> Tuple[dict, dict]:
 
         return head_extended_resources, worker_extended_resources
 
-    def from_k8_cluster_object(
-        rc,
-        appwrapper=True,
-        write_to_file=False,
-        verify_tls=True,
-    ):
-        config_check()
-        machine_types = (
-            rc["metadata"]["labels"]["orderedinstance"].split("_")
-            if "orderedinstance" in rc["metadata"]["labels"]
-            else []
-        )
-
-        (
-            head_extended_resources,
-            worker_extended_resources,
-        ) = Cluster._head_worker_extended_resources_from_rc_dict(rc)
-
-        cluster_config = ClusterConfiguration(
-            name=rc["metadata"]["name"],
-            namespace=rc["metadata"]["namespace"],
-            machine_types=machine_types,
-            head_cpu_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["requests"]["cpu"],
-            head_cpu_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["cpu"],
-            head_memory_requests=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["requests"]["memory"],
-            head_memory_limits=rc["spec"]["headGroupSpec"]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["memory"],
-            num_workers=rc["spec"]["workerGroupSpecs"][0]["minReplicas"],
-            worker_cpu_requests=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["requests"]["cpu"],
-            worker_cpu_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["cpu"],
-            worker_memory_requests=rc["spec"]["workerGroupSpecs"][0]["template"][
-                "spec"
-            ]["containers"][0]["resources"]["requests"]["memory"],
-            worker_memory_limits=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"][
-                "containers"
-            ][0]["resources"]["limits"]["memory"],
-            worker_extended_resource_requests=worker_extended_resources,
-            head_extended_resource_requests=head_extended_resources,
-            image=rc["spec"]["workerGroupSpecs"][0]["template"]["spec"]["containers"][
-                0
-            ]["image"],
-            appwrapper=appwrapper,
-            write_to_file=write_to_file,
-            verify_tls=verify_tls,
-            local_queue=rc["metadata"]
-            .get("labels", dict())
-            .get("kueue.x-k8s.io/queue-name", None),
-        )
-        return Cluster(cluster_config)
-
     def local_client_url(self):
         ingress_domain = _get_ingress_domain(self)
         return f"ray://{ingress_domain}"
@@ -511,35 +454,22 @@ def _component_resources_up(
         self, namespace: str, api_instance: client.CustomObjectsApi
     ):
         if self.config.write_to_file:
-            with open(self.app_wrapper_yaml) as f:
-                yamls = list(yaml.load_all(f, Loader=yaml.FullLoader))
-                for resource in yamls:
-                    enable_ingress = (
-                        resource.get("spec", {})
-                        .get("headGroupSpec", {})
-                        .get("enableIngress")
-                    )
-                    if resource["kind"] == "RayCluster" and enable_ingress is True:
-                        name = resource["metadata"]["name"]
-                        print(
-                            f"Forbidden: RayCluster '{name}' has 'enableIngress' set to 'True'."
-                        )
-                        return
-                _create_resources(yamls, namespace, api_instance)
+            with open(self.resource_yaml) as f:
+                ray_cluster = yaml.safe_load(f)
+                _create_resources(ray_cluster, namespace, api_instance)
         else:
-            yamls = yaml.load_all(self.app_wrapper_yaml, Loader=yaml.FullLoader)
-            _create_resources(yamls, namespace, api_instance)
+            _create_resources(self.resource_yaml, namespace, api_instance)
 
     def _component_resources_down(
         self, namespace: str, api_instance: client.CustomObjectsApi
     ):
         cluster_name = self.config.name
         if self.config.write_to_file:
-            with open(self.app_wrapper_yaml) as f:
+            with open(self.resource_yaml) as f:
                 yamls = yaml.load_all(f, Loader=yaml.FullLoader)
                 _delete_resources(yamls, namespace, api_instance, cluster_name)
         else:
-            yamls = yaml.safe_load_all(self.app_wrapper_yaml)
+            yamls = yaml.safe_load_all(self.resource_yaml)
             _delete_resources(yamls, namespace, api_instance, cluster_name)
 
 
@@ -595,61 +525,166 @@ def get_current_namespace():  # pragma: no cover
 def get_cluster(
     cluster_name: str,
     namespace: str = "default",
-    write_to_file: bool = False,
     verify_tls: bool = True,
+    write_to_file: bool = False,
 ):
-    try:
-        config_check()
-        api_instance = client.CustomObjectsApi(get_api_client())
-        rcs = api_instance.list_namespaced_custom_object(
-            group="ray.io",
-            version="v1",
-            namespace=namespace,
-            plural="rayclusters",
-        )
-    except Exception as e:
-        return _kube_api_error_handling(e)
-
-    for rc in rcs["items"]:
-        if rc["metadata"]["name"] == cluster_name:
-            appwrapper = _check_aw_exists(cluster_name, namespace)
-            return Cluster.from_k8_cluster_object(
-                rc,
-                appwrapper=appwrapper,
-                write_to_file=write_to_file,
-                verify_tls=verify_tls,
+    """Returns the given Ray Cluster/AppWrapper as a Cluster Object
+
+    The get_cluster() method is used for retrieving a Ray Cluster that already exists in your K8s Cluster.
+    Returned is a basic Cluster object which includes the exact yaml for your Ray Cluster under Cluster.resource_yaml.
+
+    Parameters
+    ----------
+    cluster_name : str
+        The name of the Ray Cluster/AppWrapper
+    namespace : str
+        The namespace of the Ray Cluster/AppWrapper
+    verify_tls : bool
+        A boolean indicating whether to verify TLS when connecting to the cluster
+    write_to_file : bool
+        A boolean indicating whether or not to write the resource to a Yaml file
+
+    Raises
+    ------
+    Exception
+        If the Ray Cluster/AppWrapper cannot be found/does not exist
+    """
+    config_check()
+    api_instance = client.CustomObjectsApi(get_api_client())
+    # Check/Get the AppWrapper if it exists
+    is_appwrapper = _check_aw_exists(cluster_name, namespace)
+    if is_appwrapper:
+        try:
+            resource = api_instance.get_namespaced_custom_object(
+                group="workload.codeflare.dev",
+                version="v1beta2",
+                namespace=namespace,
+                plural="appwrappers",
+                name=cluster_name,
             )
-    raise FileNotFoundError(
-        f"Cluster {cluster_name} is not found in {namespace} namespace"
-    )
-
-
-# private methods
-def _delete_resources(
-    yamls, namespace: str, api_instance: client.CustomObjectsApi, cluster_name: str
-):
-    for resource in yamls:
-        if resource["kind"] == "RayCluster":
-            name = resource["metadata"]["name"]
-            api_instance.delete_namespaced_custom_object(
+            resource_extraction = resource["spec"]["components"][0]["template"]
+        except Exception as e:
+            return _kube_api_error_handling(e)
+    else:
+        # Get the Ray Cluster
+        try:
+            resource = api_instance.get_namespaced_custom_object(
                 group="ray.io",
                 version="v1",
                 namespace=namespace,
                 plural="rayclusters",
-                name=name,
+                name=cluster_name,
             )
+            resource_extraction = resource
+        except Exception as e:
+            return _kube_api_error_handling(e)
+
+    (
+        head_extended_resources,
+        worker_extended_resources,
+    ) = Cluster._head_worker_extended_resources_from_rc_dict(resource_extraction)
+    # Create a Cluster Configuration with just the necessary provided parameters
+    cluster_config = ClusterConfiguration(
+        name=cluster_name,
+        namespace=namespace,
+        verify_tls=verify_tls,
+        write_to_file=write_to_file,
+        appwrapper=is_appwrapper,
+        head_cpu_limits=resource_extraction["spec"]["headGroupSpec"]["template"][
+            "spec"
+        ]["containers"][0]["resources"]["requests"]["cpu"],
+        head_cpu_requests=resource_extraction["spec"]["headGroupSpec"]["template"][
+            "spec"
+        ]["containers"][0]["resources"]["limits"]["cpu"],
+        head_memory_limits=resource_extraction["spec"]["headGroupSpec"]["template"][
+            "spec"
+        ]["containers"][0]["resources"]["requests"]["memory"],
+        head_memory_requests=resource_extraction["spec"]["headGroupSpec"]["template"][
+            "spec"
+        ]["containers"][0]["resources"]["limits"]["memory"],
+        num_workers=resource_extraction["spec"]["workerGroupSpecs"][0]["minReplicas"],
+        worker_cpu_limits=resource_extraction["spec"]["workerGroupSpecs"][0][
+            "template"
+        ]["spec"]["containers"][0]["resources"]["limits"]["cpu"],
+        worker_cpu_requests=resource_extraction["spec"]["workerGroupSpecs"][0][
+            "template"
+        ]["spec"]["containers"][0]["resources"]["requests"]["cpu"],
+        worker_memory_limits=resource_extraction["spec"]["workerGroupSpecs"][0][
+            "template"
+        ]["spec"]["containers"][0]["resources"]["requests"]["memory"],
+        worker_memory_requests=resource_extraction["spec"]["workerGroupSpecs"][0][
+            "template"
+        ]["spec"]["containers"][0]["resources"]["limits"]["memory"],
+        head_extended_resource_requests=head_extended_resources,
+        worker_extended_resource_requests=worker_extended_resources,
+    )
+    # Ignore the warning here for the lack of a ClusterConfiguration
+    with warnings.catch_warnings():
+        warnings.filterwarnings(
+            "ignore",
+            message="Please provide a ClusterConfiguration to initialise the Cluster object",
+        )
+        cluster = Cluster(None)
+        cluster.config = cluster_config
+
+        # Remove auto-generated fields like creationTimestamp, uid and etc.
+        remove_autogenerated_fields(resource)
+
+        if write_to_file:
+            cluster.resource_yaml = write_cluster_to_file(cluster, resource)
+        else:
+            # Update the Cluster's resource_yaml to reflect the retrieved Ray Cluster/AppWrapper
+            cluster.resource_yaml = resource
+            print(f"Yaml resources loaded for {cluster.config.name}")
+
+        return cluster
+
+
+def remove_autogenerated_fields(resource):
+    """Recursively remove autogenerated fields from a dictionary."""
+    if isinstance(resource, dict):
+        for key in list(resource.keys()):
+            if key in [
+                "creationTimestamp",
+                "resourceVersion",
+                "uid",
+                "selfLink",
+                "managedFields",
+                "finalizers",
+                "generation",
+                "status",
+                "suspend",
+                "workload.codeflare.dev/user",  # AppWrapper field
+                "workload.codeflare.dev/userid",  # AppWrapper field
+                "podSetInfos",  # AppWrapper field
+            ]:
+                del resource[key]
+            else:
+                remove_autogenerated_fields(resource[key])
+    elif isinstance(resource, list):
+        for item in resource:
+            remove_autogenerated_fields(item)
+
+
+# private methods
+def _delete_resources(name: str, namespace: str, api_instance: client.CustomObjectsApi):
+    api_instance.delete_namespaced_custom_object(
+        group="ray.io",
+        version="v1",
+        namespace=namespace,
+        plural="rayclusters",
+        name=name,
+    )
 
 
 def _create_resources(yamls, namespace: str, api_instance: client.CustomObjectsApi):
-    for resource in yamls:
-        if resource["kind"] == "RayCluster":
-            api_instance.create_namespaced_custom_object(
-                group="ray.io",
-                version="v1",
-                namespace=namespace,
-                plural="rayclusters",
-                body=resource,
-            )
+    api_instance.create_namespaced_custom_object(
+        group="ray.io",
+        version="v1",
+        namespace=namespace,
+        plural="rayclusters",
+        body=yamls,
+    )
 
 
 def _check_aw_exists(name: str, namespace: str) -> bool:
@@ -680,7 +715,7 @@ def _get_ingress_domain(self):  # pragma: no cover
         namespace = get_current_namespace()
     domain = None
 
-    if is_openshift_cluster():
+    if _is_openshift_cluster():
         try:
             api_instance = client.CustomObjectsApi(get_api_client())
 
@@ -812,7 +847,7 @@ def _map_to_ray_cluster(rc) -> Optional[RayCluster]:
         status = RayClusterStatus.UNKNOWN
     config_check()
     dashboard_url = None
-    if is_openshift_cluster():
+    if _is_openshift_cluster():
         try:
             api_instance = client.CustomObjectsApi(get_api_client())
             routes = api_instance.list_namespaced_custom_object(
@@ -926,3 +961,17 @@ def _copy_to_ray(cluster: Cluster) -> RayCluster:
     if ray.status == CodeFlareClusterStatus.READY:
         ray.status = RayClusterStatus.READY
     return ray
+
+
+# Check if the routes api exists
+def _is_openshift_cluster():
+    try:
+        config_check()
+        for api in client.ApisApi(get_api_client()).get_api_versions().groups:
+            for v in api.versions:
+                if "route.openshift.io/v1" in v.group_version:
+                    return True
+        else:
+            return False
+    except Exception as e:  # pragma: no cover
+        return _kube_api_error_handling(e)
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index a9fe4408..b8b1652e 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -47,19 +47,16 @@ class ClusterConfiguration:
     Attributes:
     - name: The name of the cluster.
     - namespace: The namespace in which the cluster should be created.
-    - head_info: A list of strings containing information about the head node.
     - head_cpus: The number of CPUs to allocate to the head node.
     - head_memory: The amount of memory to allocate to the head node.
     - head_gpus: The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests)
     - head_extended_resource_requests: A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1}
-    - machine_types: A list of machine types to use for the cluster.
     - min_cpus: The minimum number of CPUs to allocate to each worker.
     - max_cpus: The maximum number of CPUs to allocate to each worker.
     - num_workers: The number of workers to create.
     - min_memory: The minimum amount of memory to allocate to each worker.
     - max_memory: The maximum amount of memory to allocate to each worker.
     - num_gpus: The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests)
-    - template: The path to the template file to use for the cluster.
     - appwrapper: A boolean indicating whether to use an AppWrapper.
     - envs: A dictionary of environment variables to set for the cluster.
     - image: The image to use for the cluster.
@@ -74,7 +71,6 @@ class ClusterConfiguration:
 
     name: str
     namespace: Optional[str] = None
-    head_info: List[str] = field(default_factory=list)
     head_cpu_requests: Union[int, str] = 2
     head_cpu_limits: Union[int, str] = 2
     head_cpus: Optional[Union[int, str]] = None  # Deprecating
@@ -85,9 +81,6 @@ class ClusterConfiguration:
     head_extended_resource_requests: Dict[str, Union[str, int]] = field(
         default_factory=dict
     )
-    machine_types: List[str] = field(
-        default_factory=list
-    )  # ["m4.xlarge", "g4dn.xlarge"]
     worker_cpu_requests: Union[int, str] = 1
     worker_cpu_limits: Union[int, str] = 1
     min_cpus: Optional[Union[int, str]] = None  # Deprecating
@@ -98,7 +91,6 @@ class ClusterConfiguration:
     min_memory: Optional[Union[int, str]] = None  # Deprecating
     max_memory: Optional[Union[int, str]] = None  # Deprecating
     num_gpus: Optional[int] = None  # Deprecating
-    template: str = f"{dir}/templates/base-template.yaml"
     appwrapper: bool = False
     envs: Dict[str, str] = field(default_factory=dict)
     image: str = ""
diff --git a/src/codeflare_sdk/ray/cluster/generate_yaml.py b/src/codeflare_sdk/ray/cluster/generate_yaml.py
deleted file mode 100755
index 01823f1d..00000000
--- a/src/codeflare_sdk/ray/cluster/generate_yaml.py
+++ /dev/null
@@ -1,308 +0,0 @@
-# Copyright 2022 IBM, Red Hat
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-This sub-module exists primarily to be used internally by the Cluster object
-(in the cluster sub-module) for AppWrapper generation.
-"""
-
-import json
-import sys
-import typing
-import warnings
-import yaml
-import os
-import uuid
-from kubernetes import client
-from ...common import _kube_api_error_handling
-from ...common.kueue import add_queue_label
-from ...common.kubernetes_cluster.auth import (
-    get_api_client,
-    config_check,
-)
-import codeflare_sdk
-
-SUPPORTED_PYTHON_VERSIONS = {
-    "3.9": "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06",
-    "3.11": "quay.io/modh/ray@sha256:db667df1bc437a7b0965e8031e905d3ab04b86390d764d120e05ea5a5c18d1b4",
-}
-
-
-def read_template(template):
-    with open(template, "r") as stream:
-        try:
-            return yaml.safe_load(stream)
-        except yaml.YAMLError as exc:
-            print(exc)
-
-
-def gen_names(name):
-    if not name:
-        gen_id = str(uuid.uuid4())
-        appwrapper_name = "appwrapper-" + gen_id
-        cluster_name = "cluster-" + gen_id
-        return appwrapper_name, cluster_name
-    else:
-        return name, name
-
-
-# Check if the routes api exists
-def is_openshift_cluster():
-    try:
-        config_check()
-        for api in client.ApisApi(get_api_client()).get_api_versions().groups:
-            for v in api.versions:
-                if "route.openshift.io/v1" in v.group_version:
-                    return True
-        else:
-            return False
-    except Exception as e:  # pragma: no cover
-        return _kube_api_error_handling(e)
-
-
-def is_kind_cluster():
-    try:
-        config_check()
-        v1 = client.CoreV1Api()
-        label_selector = "kubernetes.io/hostname=kind-control-plane"
-        nodes = v1.list_node(label_selector=label_selector)
-        # If we find one or more nodes with the label, assume it's a KinD cluster
-        return len(nodes.items) > 0
-    except Exception as e:
-        print(f"Error checking if cluster is KinD: {e}")
-        return False
-
-
-def update_names(
-    cluster_yaml: dict,
-    cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
-):
-    metadata = cluster_yaml.get("metadata")
-    metadata["name"] = cluster.config.name
-    metadata["namespace"] = cluster.config.namespace
-
-
-def update_image(spec, image):
-    containers = spec.get("containers")
-    if not image:
-        python_version = f"{sys.version_info.major}.{sys.version_info.minor}"
-        if python_version in SUPPORTED_PYTHON_VERSIONS:
-            image = SUPPORTED_PYTHON_VERSIONS[python_version]
-        else:
-            warnings.warn(
-                f"No default Ray image defined for {python_version}. Please provide your own image or use one of the following python versions: {', '.join(SUPPORTED_PYTHON_VERSIONS.keys())}."
-            )
-    for container in containers:
-        container["image"] = image
-
-
-def update_image_pull_secrets(spec, image_pull_secrets):
-    template_secrets = spec.get("imagePullSecrets", [])
-    spec["imagePullSecrets"] = template_secrets + [
-        {"name": x} for x in image_pull_secrets
-    ]
-
-
-def update_env(spec, env):
-    containers = spec.get("containers")
-    for container in containers:
-        if env:
-            if "env" in container:
-                container["env"].extend(env)
-            else:
-                container["env"] = env
-
-
-def update_resources(
-    spec,
-    cpu_requests,
-    cpu_limits,
-    memory_requests,
-    memory_limits,
-    custom_resources,
-):
-    container = spec.get("containers")
-    for resource in container:
-        requests = resource.get("resources").get("requests")
-        if requests is not None:
-            requests["cpu"] = cpu_requests
-            requests["memory"] = memory_requests
-        limits = resource.get("resources").get("limits")
-        if limits is not None:
-            limits["cpu"] = cpu_limits
-            limits["memory"] = memory_limits
-        for k in custom_resources.keys():
-            limits[k] = custom_resources[k]
-            requests[k] = custom_resources[k]
-
-
-def head_worker_gpu_count_from_cluster(
-    cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
-) -> typing.Tuple[int, int]:
-    head_gpus = 0
-    worker_gpus = 0
-    for k in cluster.config.head_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type == "GPU":
-            head_gpus += int(cluster.config.head_extended_resource_requests[k])
-    for k in cluster.config.worker_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type == "GPU":
-            worker_gpus += int(cluster.config.worker_extended_resource_requests[k])
-
-    return head_gpus, worker_gpus
-
-
-FORBIDDEN_CUSTOM_RESOURCE_TYPES = ["GPU", "CPU", "memory"]
-
-
-def head_worker_resources_from_cluster(
-    cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
-) -> typing.Tuple[dict, dict]:
-    to_return = {}, {}
-    for k in cluster.config.head_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES:
-            continue
-        to_return[0][resource_type] = cluster.config.head_extended_resource_requests[
-            k
-        ] + to_return[0].get(resource_type, 0)
-
-    for k in cluster.config.worker_extended_resource_requests.keys():
-        resource_type = cluster.config.extended_resource_mapping[k]
-        if resource_type in FORBIDDEN_CUSTOM_RESOURCE_TYPES:
-            continue
-        to_return[1][resource_type] = cluster.config.worker_extended_resource_requests[
-            k
-        ] + to_return[1].get(resource_type, 0)
-    return to_return
-
-
-def update_nodes(
-    ray_cluster_dict: dict,
-    cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
-):
-    head = ray_cluster_dict.get("spec").get("headGroupSpec")
-    worker = ray_cluster_dict.get("spec").get("workerGroupSpecs")[0]
-    head_gpus, worker_gpus = head_worker_gpu_count_from_cluster(cluster)
-    head_resources, worker_resources = head_worker_resources_from_cluster(cluster)
-    head_resources = json.dumps(head_resources).replace('"', '\\"')
-    head_resources = f'"{head_resources}"'
-    worker_resources = json.dumps(worker_resources).replace('"', '\\"')
-    worker_resources = f'"{worker_resources}"'
-    head["rayStartParams"]["num-gpus"] = str(head_gpus)
-    head["rayStartParams"]["resources"] = head_resources
-
-    # Head counts as first worker
-    worker["replicas"] = cluster.config.num_workers
-    worker["minReplicas"] = cluster.config.num_workers
-    worker["maxReplicas"] = cluster.config.num_workers
-    worker["groupName"] = "small-group-" + cluster.config.name
-    worker["rayStartParams"]["num-gpus"] = str(worker_gpus)
-    worker["rayStartParams"]["resources"] = worker_resources
-
-    for comp in [head, worker]:
-        spec = comp.get("template").get("spec")
-        update_image_pull_secrets(spec, cluster.config.image_pull_secrets)
-        update_image(spec, cluster.config.image)
-        update_env(spec, cluster.config.envs)
-        if comp == head:
-            # TODO: Eventually add head node configuration outside of template
-            update_resources(
-                spec,
-                cluster.config.head_cpu_requests,
-                cluster.config.head_cpu_limits,
-                cluster.config.head_memory_requests,
-                cluster.config.head_memory_limits,
-                cluster.config.head_extended_resource_requests,
-            )
-        else:
-            update_resources(
-                spec,
-                cluster.config.worker_cpu_requests,
-                cluster.config.worker_cpu_limits,
-                cluster.config.worker_memory_requests,
-                cluster.config.worker_memory_limits,
-                cluster.config.worker_extended_resource_requests,
-            )
-
-
-def del_from_list_by_name(l: list, target: typing.List[str]) -> list:
-    return [x for x in l if x["name"] not in target]
-
-
-def augment_labels(item: dict, labels: dict):
-    if not "labels" in item["metadata"]:
-        item["metadata"]["labels"] = {}
-    item["metadata"]["labels"].update(labels)
-
-
-def notebook_annotations(item: dict):
-    nb_prefix = os.environ.get("NB_PREFIX")
-    if nb_prefix:
-        if not "annotations" in item["metadata"]:
-            item["metadata"]["annotations"] = {}
-        item["metadata"]["annotations"].update(
-            {"app.kubernetes.io/managed-by": nb_prefix}
-        )
-
-
-def wrap_cluster(cluster_yaml: dict, appwrapper_name: str, namespace: str):
-    return {
-        "apiVersion": "workload.codeflare.dev/v1beta2",
-        "kind": "AppWrapper",
-        "metadata": {"name": appwrapper_name, "namespace": namespace},
-        "spec": {"components": [{"template": cluster_yaml}]},
-    }
-
-
-def write_user_yaml(user_yaml, output_file_name):
-    # Create the directory if it doesn't exist
-    directory_path = os.path.dirname(output_file_name)
-    if not os.path.exists(directory_path):
-        os.makedirs(directory_path)
-
-    with open(output_file_name, "w") as outfile:
-        yaml.dump(user_yaml, outfile, default_flow_style=False)
-
-    print(f"Written to: {output_file_name}")
-
-
-def generate_appwrapper(cluster: "codeflare_sdk.ray.cluster.cluster.Cluster"):
-    cluster_yaml = read_template(cluster.config.template)
-    appwrapper_name, _ = gen_names(cluster.config.name)
-    update_names(
-        cluster_yaml,
-        cluster,
-    )
-    update_nodes(cluster_yaml, cluster)
-    augment_labels(cluster_yaml, cluster.config.labels)
-    notebook_annotations(cluster_yaml)
-    user_yaml = (
-        wrap_cluster(cluster_yaml, appwrapper_name, cluster.config.namespace)
-        if cluster.config.appwrapper
-        else cluster_yaml
-    )
-
-    add_queue_label(user_yaml, cluster.config.namespace, cluster.config.local_queue)
-
-    if cluster.config.write_to_file:
-        directory_path = os.path.expanduser("~/.codeflare/resources/")
-        outfile = os.path.join(directory_path, appwrapper_name + ".yaml")
-        write_user_yaml(user_yaml, outfile)
-        return outfile
-    else:
-        user_yaml = yaml.dump(user_yaml)
-        print(f"Yaml resources loaded for {cluster.config.name}")
-        return user_yaml
diff --git a/src/codeflare_sdk/ray/templates/base-template.yaml b/src/codeflare_sdk/ray/templates/base-template.yaml
deleted file mode 100644
index b59d2a49..00000000
--- a/src/codeflare_sdk/ray/templates/base-template.yaml
+++ /dev/null
@@ -1,192 +0,0 @@
-# This config demonstrates KubeRay's Ray autoscaler integration.
-# The resource requests and limits in this config are too small for production!
-# For an example with more realistic resource configuration, see
-# ray-cluster.autoscaler.large.yaml.
-apiVersion: ray.io/v1
-kind: RayCluster
-metadata:
-  labels:
-    controller-tools.k8s.io: "1.0"
-    # A unique identifier for the head node and workers of this cluster.
-  name: kuberay-cluster
-  namespace: default
-spec:
-  # The version of Ray you are using. Make sure all Ray containers are running this version of Ray.
-  rayVersion: '2.35.0'
-  # If enableInTreeAutoscaling is true, the autoscaler sidecar will be added to the Ray head pod.
-  # Ray autoscaler integration is supported only for Ray versions >= 1.11.0
-  # Ray autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0.
-  enableInTreeAutoscaling: false
-  # autoscalerOptions is an OPTIONAL field specifying configuration overrides for the Ray autoscaler.
-  # The example configuration shown below below represents the DEFAULT values.
-  # (You may delete autoscalerOptions if the defaults are suitable.)
-  autoscalerOptions:
-    # upscalingMode is "Default" or "Aggressive."
-    # Conservative: Upscaling is rate-limited; the number of pending worker pods is at most the size of the Ray cluster.
-    # Default: Upscaling is not rate-limited.
-    # Aggressive: An alias for Default; upscaling is not rate-limited.
-    upscalingMode: Default
-    # idleTimeoutSeconds is the number of seconds to wait before scaling down a worker pod which is not using Ray resources.
-    idleTimeoutSeconds: 60
-    # image optionally overrides the autoscaler's container image.
-    # If instance.spec.rayVersion is at least "2.0.0", the autoscaler will default to the same image as
-    # the ray container. For older Ray versions, the autoscaler will default to using the Ray 2.0.0 image.
-    ## image: "my-repo/my-custom-autoscaler-image:tag"
-    # imagePullPolicy optionally overrides the autoscaler container's image pull policy.
-    imagePullPolicy: Always
-    # resources specifies optional resource request and limit overrides for the autoscaler container.
-    # For large Ray clusters, we recommend monitoring container resource usage to determine if overriding the defaults is required.
-    resources:
-      limits:
-        cpu: "500m"
-        memory: "512Mi"
-      requests:
-        cpu: "500m"
-        memory: "512Mi"
-  ######################headGroupSpec#################################
-  # head group template and specs, (perhaps 'group' is not needed in the name)
-  headGroupSpec:
-    # Kubernetes Service Type, valid values are 'ClusterIP', 'NodePort' and 'LoadBalancer'
-    serviceType: ClusterIP
-    enableIngress: false
-    # logical group name, for this called head-group, also can be functional
-    # pod type head or worker
-    # rayNodeType: head # Not needed since it is under the headgroup
-    # the following params are used to complete the ray start: ray start --head --block ...
-    rayStartParams:
-      # Flag "no-monitor" will be automatically set when autoscaling is enabled.
-      dashboard-host: '0.0.0.0'
-      block: 'true'
-      # num-cpus: '1' # can be auto-completed from the limits
-      # Use `resources` to optionally specify custom resource annotations for the Ray node.
-      # The value of `resources` is a string-integer mapping.
-      # Currently, `resources` must be provided in the specific format demonstrated below:
-      # resources: '"{\"Custom1\": 1, \"Custom2\": 5}"'
-      num-gpus: '0'
-    #pod template
-    template:
-      spec:
-        containers:
-        # The Ray head pod
-        - name: ray-head
-          imagePullPolicy: Always
-          ports:
-          - containerPort: 6379
-            name: gcs
-          - containerPort: 8265
-            name: dashboard
-          - containerPort: 10001
-            name: client
-          lifecycle:
-            preStop:
-              exec:
-                command: ["/bin/sh","-c","ray stop"]
-          resources:
-            limits:
-              cpu: 2
-              memory: "8G"
-            requests:
-              cpu: 2
-              memory: "8G"
-          volumeMounts:
-          - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
-            name: odh-trusted-ca-cert
-            subPath: odh-trusted-ca-bundle.crt
-          - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
-            name: odh-trusted-ca-cert
-            subPath: odh-trusted-ca-bundle.crt
-          - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
-            name: odh-ca-cert
-            subPath: odh-ca-bundle.crt
-          - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
-            name: odh-ca-cert
-            subPath: odh-ca-bundle.crt
-        volumes:
-        - name: odh-trusted-ca-cert
-          configMap:
-            name: odh-trusted-ca-bundle
-            items:
-            - key: ca-bundle.crt
-              path: odh-trusted-ca-bundle.crt
-            optional: true
-        - name: odh-ca-cert
-          configMap:
-            name: odh-trusted-ca-bundle
-            items:
-            - key: odh-ca-bundle.crt
-              path: odh-ca-bundle.crt
-            optional: true
-  workerGroupSpecs:
-  # the pod replicas in this group typed worker
-  - replicas: 3
-    minReplicas: 3
-    maxReplicas: 3
-    # logical group name, for this called small-group, also can be functional
-    groupName: small-group
-    # if worker pods need to be added, we can simply increment the replicas
-    # if worker pods need to be removed, we decrement the replicas, and populate the podsToDelete list
-    # the operator will remove pods from the list until the number of replicas is satisfied
-    # when a pod is confirmed to be deleted, its name will be removed from the list below
-    #scaleStrategy:
-    #  workersToDelete:
-    #  - raycluster-complete-worker-small-group-bdtwh
-    #  - raycluster-complete-worker-small-group-hv457
-    #  - raycluster-complete-worker-small-group-k8tj7
-    # the following params are used to complete the ray start: ray start --block ...
-    rayStartParams:
-      block: 'true'
-      num-gpus: 1
-    #pod template
-    template:
-      metadata:
-        labels:
-          key: value
-        # annotations for pod
-        annotations:
-          key: value
-        # finalizers:
-        # - kubernetes
-      spec:
-        containers:
-        - name: machine-learning # must consist of lower case alphanumeric characters or '-', and must start and end with an alphanumeric character (e.g. 'my-name',  or '123-abc'
-          # environment variables to set in the container.Optional.
-          # Refer to https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/
-          lifecycle:
-            preStop:
-              exec:
-                command: ["/bin/sh","-c","ray stop"]
-          resources:
-            limits:
-              cpu: "2"
-              memory: "12G"
-            requests:
-              cpu: "2"
-              memory: "12G"
-          volumeMounts:
-          - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
-            name: odh-trusted-ca-cert
-            subPath: odh-trusted-ca-bundle.crt
-          - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
-            name: odh-trusted-ca-cert
-            subPath: odh-trusted-ca-bundle.crt
-          - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
-            name: odh-ca-cert
-            subPath: odh-ca-bundle.crt
-          - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
-            name: odh-ca-cert
-            subPath: odh-ca-bundle.crt
-        volumes:
-        - name: odh-trusted-ca-cert
-          configMap:
-            name: odh-trusted-ca-bundle
-            items:
-            - key: ca-bundle.crt
-              path: odh-trusted-ca-bundle.crt
-            optional: true
-        - name: odh-ca-cert
-          configMap:
-            name: odh-trusted-ca-bundle
-            items:
-            - key: odh-ca-bundle.crt
-              path: odh-ca-bundle.crt
-            optional: true

From 6ec44c5f91072f8c4edcd1cc0922853bcd60aaa0 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 31 Oct 2024 16:27:25 +0000
Subject: [PATCH 169/254] test: update unit tests after refactor

---
 src/codeflare_sdk/common/kueue/test_kueue.py  |  12 +-
 .../common/utils/unit_test_support.py         |  36 ++++
 .../ray/appwrapper/test_status.py             |   7 +-
 ...rate_yaml.py => test_build_ray_cluster.py} |  13 +-
 src/codeflare_sdk/ray/cluster/test_cluster.py | 164 +++++-----------
 src/codeflare_sdk/ray/cluster/test_config.py  | 124 +++++-------
 .../ray/cluster/test_pretty_print.py          |   7 +-
 src/codeflare_sdk/ray/cluster/test_status.py  |  13 +-
 .../appwrapper/test-case-bad.yaml             |   3 +-
 .../appwrapper/unit-test-all-params.yaml      | 176 ++++++++++++++++++
 tests/test_cluster_yamls/kueue/aw_kueue.yaml  |   9 +-
 .../kueue/ray_cluster_kueue.yaml              |   9 +-
 .../ray/default-appwrapper.yaml               |   9 +-
 .../ray/default-ray-cluster.yaml              |   9 +-
 .../ray/unit-test-all-params.yaml             |  25 +--
 .../support_clusters/test-aw-a.yaml           |   3 +-
 .../support_clusters/test-aw-b.yaml           |   3 +-
 .../support_clusters/test-rc-a.yaml           |   3 +-
 .../support_clusters/test-rc-b.yaml           |   3 +-
 ui-tests/playwright.config.js                 |   2 +-
 20 files changed, 355 insertions(+), 275 deletions(-)
 rename src/codeflare_sdk/ray/cluster/{test_generate_yaml.py => test_build_ray_cluster.py} (84%)
 create mode 100644 tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml

diff --git a/src/codeflare_sdk/common/kueue/test_kueue.py b/src/codeflare_sdk/common/kueue/test_kueue.py
index e9de364d..77095d4d 100644
--- a/src/codeflare_sdk/common/kueue/test_kueue.py
+++ b/src/codeflare_sdk/common/kueue/test_kueue.py
@@ -51,8 +51,7 @@ def test_cluster_creation_no_aw_local_queue(mocker):
     config.write_to_file = True
     config.local_queue = "local-queue-default"
     cluster = Cluster(config)
-    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-cluster-kueue.yaml"
-    assert cluster.app_wrapper_name == "unit-test-cluster-kueue"
+    assert cluster.resource_yaml == f"{aw_dir}unit-test-cluster-kueue.yaml"
     assert filecmp.cmp(
         f"{aw_dir}unit-test-cluster-kueue.yaml",
         f"{parent}/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml",
@@ -65,10 +64,9 @@ def test_cluster_creation_no_aw_local_queue(mocker):
     config.write_to_file = False
     cluster = Cluster(config)
 
-    test_rc = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader)
     with open(f"{parent}/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml") as f:
         expected_rc = yaml.load(f, Loader=yaml.FullLoader)
-        assert test_rc == expected_rc
+        assert cluster.resource_yaml == expected_rc
 
 
 def test_aw_creation_local_queue(mocker):
@@ -87,8 +85,7 @@ def test_aw_creation_local_queue(mocker):
     config.write_to_file = True
     config.local_queue = "local-queue-default"
     cluster = Cluster(config)
-    assert cluster.app_wrapper_yaml == f"{aw_dir}unit-test-aw-kueue.yaml"
-    assert cluster.app_wrapper_name == "unit-test-aw-kueue"
+    assert cluster.resource_yaml == f"{aw_dir}unit-test-aw-kueue.yaml"
     assert filecmp.cmp(
         f"{aw_dir}unit-test-aw-kueue.yaml",
         f"{parent}/tests/test_cluster_yamls/kueue/aw_kueue.yaml",
@@ -102,10 +99,9 @@ def test_aw_creation_local_queue(mocker):
     config.write_to_file = False
     cluster = Cluster(config)
 
-    test_rc = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader)
     with open(f"{parent}/tests/test_cluster_yamls/kueue/aw_kueue.yaml") as f:
         expected_rc = yaml.load(f, Loader=yaml.FullLoader)
-        assert test_rc == expected_rc
+        assert cluster.resource_yaml == expected_rc
 
 
 def test_get_local_queue_exists_fail(mocker):
diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 61a16260..88b65aa4 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -20,6 +20,7 @@
 import yaml
 from pathlib import Path
 from kubernetes import client
+from unittest.mock import patch
 
 parent = Path(__file__).resolve().parents[4]  # project directory
 aw_dir = os.path.expanduser("~/.codeflare/resources/")
@@ -381,3 +382,38 @@ def mocked_ingress(port, cluster_name="unit-test-cluster", annotations: dict = N
         ),
     )
     return mock_ingress
+
+
+@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"})
+def create_cluster_all_config_params(mocker, cluster_name, is_appwrapper) -> Cluster:
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+
+    config = ClusterConfiguration(
+        name=cluster_name,
+        namespace="ns",
+        head_cpu_requests=4,
+        head_cpu_limits=8,
+        head_memory_requests=12,
+        head_memory_limits=16,
+        head_extended_resource_requests={"nvidia.com/gpu": 1, "intel.com/gpu": 2},
+        worker_cpu_requests=4,
+        worker_cpu_limits=8,
+        num_workers=10,
+        worker_memory_requests=12,
+        worker_memory_limits=16,
+        appwrapper=is_appwrapper,
+        envs={"key1": "value1", "key2": "value2"},
+        image="example/ray:tag",
+        image_pull_secrets=["secret1", "secret2"],
+        write_to_file=True,
+        verify_tls=True,
+        labels={"key1": "value1", "key2": "value2"},
+        worker_extended_resource_requests={"nvidia.com/gpu": 1},
+        extended_resource_mapping={"example.com/gpu": "GPU", "intel.com/gpu": "TPU"},
+        overwrite_default_resource_mapping=True,
+        local_queue="local-queue-default",
+    )
+    return Cluster(config)
diff --git a/src/codeflare_sdk/ray/appwrapper/test_status.py b/src/codeflare_sdk/ray/appwrapper/test_status.py
index 8c693767..a3fcf870 100644
--- a/src/codeflare_sdk/ray/appwrapper/test_status.py
+++ b/src/codeflare_sdk/ray/appwrapper/test_status.py
@@ -19,6 +19,7 @@
 )
 from codeflare_sdk.ray.appwrapper import AppWrapper, AppWrapperStatus
 from codeflare_sdk.ray.cluster.status import CodeFlareClusterStatus
+from codeflare_sdk.common.utils.unit_test_support import get_local_queue
 import os
 
 aw_dir = os.path.expanduser("~/.codeflare/resources/")
@@ -28,8 +29,8 @@ def test_cluster_status(mocker):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
     mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
     )
     fake_aw = AppWrapper("test", AppWrapperStatus.FAILED)
 
@@ -39,7 +40,7 @@ def test_cluster_status(mocker):
             namespace="ns",
             write_to_file=True,
             appwrapper=True,
-            local_queue="local_default_queue",
+            local_queue="local-queue-default",
         )
     )
     mocker.patch(
diff --git a/src/codeflare_sdk/ray/cluster/test_generate_yaml.py b/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
similarity index 84%
rename from src/codeflare_sdk/ray/cluster/test_generate_yaml.py
rename to src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
index 606cc950..7d6d3d0a 100644
--- a/src/codeflare_sdk/ray/cluster/test_generate_yaml.py
+++ b/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
@@ -13,7 +13,7 @@
 # limitations under the License.
 from collections import namedtuple
 import sys
-from .generate_yaml import gen_names, update_image
+from .build_ray_cluster import gen_names, update_image
 import uuid
 
 
@@ -39,7 +39,7 @@ def test_gen_names_without_name(mocker):
 def test_update_image_without_supported_python_version(mocker):
     # Mock SUPPORTED_PYTHON_VERSIONS
     mocker.patch.dict(
-        "codeflare_sdk.ray.cluster.generate_yaml.SUPPORTED_PYTHON_VERSIONS",
+        "codeflare_sdk.ray.cluster.build_ray_cluster.SUPPORTED_PYTHON_VERSIONS",
         {
             "3.9": "ray-py3.9",
             "3.11": "ray-py3.11",
@@ -55,16 +55,13 @@ def test_update_image_without_supported_python_version(mocker):
     # Mock warnings.warn to check if it gets called
     warn_mock = mocker.patch("warnings.warn")
 
-    # Create a sample spec
-    spec = {"containers": [{"image": None}]}
-
     # Call the update_image function with no image provided
-    update_image(spec, None)
+    image = update_image(None)
 
     # Assert that the warning was called with the expected message
     warn_mock.assert_called_once_with(
         "No default Ray image defined for 3.8. Please provide your own image or use one of the following python versions: 3.9, 3.11."
     )
 
-    # Assert that no image was set in the containers since the Python version is not supported
-    assert spec["containers"][0]["image"] is None
+    # Assert that no image was set since the Python version is not supported
+    assert image is None
diff --git a/src/codeflare_sdk/ray/cluster/test_cluster.py b/src/codeflare_sdk/ray/cluster/test_cluster.py
index 20438bbe..5e83c82a 100644
--- a/src/codeflare_sdk/ray/cluster/test_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/test_cluster.py
@@ -25,21 +25,17 @@
     arg_check_apply_effect,
     get_local_queue,
     createClusterConfig,
-    route_list_retrieval,
     get_ray_obj,
-    get_aw_obj,
-    get_named_aw,
     get_obj_none,
     get_ray_obj_with_status,
     get_aw_obj_with_status,
 )
-from codeflare_sdk.ray.cluster.generate_yaml import (
-    is_openshift_cluster,
-    is_kind_cluster,
-)
+from codeflare_sdk.ray.cluster.cluster import _is_openshift_cluster
 from pathlib import Path
 from unittest.mock import MagicMock
 from kubernetes import client
+import yaml
+import filecmp
 import os
 
 parent = Path(__file__).resolve().parents[4]  # project directory
@@ -205,7 +201,7 @@ def test_local_client_url(mocker):
         return_value="rayclient-unit-test-cluster-localinter-ns.apps.cluster.awsroute.org",
     )
     mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.Cluster.create_app_wrapper",
+        "codeflare_sdk.ray.cluster.cluster.Cluster.create_resource",
         return_value="unit-test-cluster-localinter.yaml",
     )
 
@@ -225,120 +221,51 @@ def test_local_client_url(mocker):
 """
 
 
-def test_get_cluster_openshift(mocker):
+def test_get_cluster_no_appwrapper(mocker):
+    """
+    This test uses the "test all params" unit test file as a comparison
+    """
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    # Mock the client.ApisApi function to return a mock object
-    mock_api = MagicMock()
-    mock_api.get_api_versions.return_value.groups = [
-        MagicMock(versions=[MagicMock(group_version="route.openshift.io/v1")])
-    ]
-    mocker.patch("kubernetes.client.ApisApi", return_value=mock_api)
     mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
+        "codeflare_sdk.ray.cluster.cluster._check_aw_exists",
+        return_value=False,
     )
 
-    assert is_openshift_cluster()
-
-    def custom_side_effect(group, version, namespace, plural, **kwargs):
-        if plural == "routes":
-            return route_list_retrieval("route.openshift.io", "v1", "ns", "routes")
-        elif plural == "rayclusters":
-            return get_ray_obj("ray.io", "v1", "ns", "rayclusters")
-        elif plural == "appwrappers":
-            return get_aw_obj("workload.codeflare.dev", "v1beta2", "ns", "appwrappers")
-        elif plural == "localqueues":
-            return get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues")
-
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object", get_aw_obj
-    )
-
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=custom_side_effect,
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
-        return_value=get_named_aw,
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
-        side_effect=route_list_retrieval("route.openshift.io", "v1", "ns", "routes")[
-            "items"
-        ],
-    )
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
-
-    cluster = get_cluster(
-        "test-cluster-a", "ns"
-    )  # see tests/test_cluster_yamls/support_clusters
-    cluster_config = cluster.config
-
-    assert cluster_config.name == "test-cluster-a" and cluster_config.namespace == "ns"
-    assert cluster_config.head_cpu_requests == 2 and cluster_config.head_cpu_limits == 2
-    assert (
-        cluster_config.head_memory_requests == "8G"
-        and cluster_config.head_memory_limits == "8G"
-    )
-    assert (
-        cluster_config.worker_cpu_requests == 1
-        and cluster_config.worker_cpu_limits == 1
-    )
-    assert (
-        cluster_config.worker_memory_requests == "2G"
-        and cluster_config.worker_memory_limits == "2G"
-    )
-    assert cluster_config.num_workers == 1
-    assert cluster_config.write_to_file == False
-    assert cluster_config.local_queue == "local_default_queue"
+    with open(f"{expected_clusters_dir}/ray/unit-test-all-params.yaml") as f:
+        expected_rc = yaml.load(f, Loader=yaml.FullLoader)
+        mocker.patch(
+            "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
+            return_value=expected_rc,
+        )
+        get_cluster("test-all-params", "ns", write_to_file=True)
+        assert filecmp.cmp(
+            f"{aw_dir}test-all-params.yaml",
+            f"{expected_clusters_dir}/ray/unit-test-all-params.yaml",
+            shallow=True,
+        )
 
 
-def test_get_cluster(mocker):
-    # test get_cluster for Kind Clusters
+def test_get_cluster_with_appwrapper(mocker):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
     mocker.patch(
-        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
-        side_effect=get_ray_obj,
-    )
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
-        side_effect=get_named_aw,
-    )
-    mocker.patch(
-        "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
-        return_value=ingress_retrieval(cluster_name="quicktest", client_ing=True),
-    )
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
+        "codeflare_sdk.ray.cluster.cluster._check_aw_exists",
+        return_value=True,
     )
-    cluster = get_cluster(
-        "test-cluster-a"
-    )  # see tests/test_cluster_yamls/support_clusters
-    cluster_config = cluster.config
 
-    assert cluster_config.name == "test-cluster-a" and cluster_config.namespace == "ns"
-    assert cluster_config.head_cpu_requests == 2 and cluster_config.head_cpu_limits == 2
-    assert (
-        cluster_config.head_memory_requests == "8G"
-        and cluster_config.head_memory_limits == "8G"
-    )
-    assert (
-        cluster_config.worker_cpu_requests == 1
-        and cluster_config.worker_cpu_limits == 1
-    )
-    assert (
-        cluster_config.worker_memory_requests == "2G"
-        and cluster_config.worker_memory_limits == "2G"
-    )
-    assert cluster_config.num_workers == 1
-    assert cluster_config.write_to_file == False
-    assert cluster_config.local_queue == "local_default_queue"
+    with open(f"{expected_clusters_dir}/appwrapper/unit-test-all-params.yaml") as f:
+        expected_aw = yaml.load(f, Loader=yaml.FullLoader)
+        mocker.patch(
+            "kubernetes.client.CustomObjectsApi.get_namespaced_custom_object",
+            return_value=expected_aw,
+        )
+        get_cluster("aw-all-params", "ns", write_to_file=True)
+        assert filecmp.cmp(
+            f"{aw_dir}aw-all-params.yaml",
+            f"{expected_clusters_dir}/appwrapper/unit-test-all-params.yaml",
+            shallow=True,
+        )
 
 
 def test_wait_ready(mocker, capsys):
@@ -356,10 +283,6 @@ def test_wait_ready(mocker, capsys):
     mocker.patch(
         "codeflare_sdk.ray.cluster.cluster._ray_cluster_status", return_value=None
     )
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
     mocker.patch.object(
         client.CustomObjectsApi,
         "list_namespaced_custom_object",
@@ -381,7 +304,6 @@ def test_wait_ready(mocker, capsys):
             namespace="ns",
             write_to_file=False,
             appwrapper=True,
-            local_queue="local-queue-default",
         )
     )
     try:
@@ -460,7 +382,7 @@ def test_list_queue_rayclusters(mocker, capsys):
     ]
     mocker.patch("kubernetes.client.ApisApi", return_value=mock_api)
 
-    assert is_openshift_cluster() == True
+    assert _is_openshift_cluster() == True
     mocker.patch(
         "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
         return_value=get_obj_none("ray.io", "v1", "ns", "rayclusters"),
@@ -566,7 +488,7 @@ def test_map_to_ray_cluster(mocker):
     mocker.patch("kubernetes.config.load_kube_config")
 
     mocker.patch(
-        "codeflare_sdk.ray.cluster.cluster.is_openshift_cluster", return_value=True
+        "codeflare_sdk.ray.cluster.cluster._is_openshift_cluster", return_value=True
     )
 
     mock_api_client = mocker.MagicMock(spec=client.ApiClient)
@@ -608,3 +530,9 @@ def custom_side_effect(group, version, namespace, plural, **kwargs):
 
     assert result is not None
     assert result.dashboard == rc_dashboard
+
+
+# Make sure to always keep this function last
+def test_cleanup():
+    os.remove(f"{aw_dir}test-all-params.yaml")
+    os.remove(f"{aw_dir}aw-all-params.yaml")
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index f1ac5355..1423fc2b 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -12,10 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from codeflare_sdk.common.utils.unit_test_support import createClusterWrongType
+from codeflare_sdk.common.utils.unit_test_support import (
+    createClusterWrongType,
+    get_local_queue,
+    create_cluster_all_config_params,
+)
 from codeflare_sdk.ray.cluster.cluster import ClusterConfiguration, Cluster
 from pathlib import Path
-from unittest.mock import patch
 import filecmp
 import pytest
 import yaml
@@ -31,17 +34,11 @@ def test_default_cluster_creation(mocker):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object")
 
-    cluster = Cluster(
-        ClusterConfiguration(
-            name="default-cluster",
-            namespace="ns",
-        )
-    )
+    cluster = Cluster(ClusterConfiguration(name="default-cluster", namespace="ns"))
 
-    test_rc = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader)
     with open(f"{expected_clusters_dir}/ray/default-ray-cluster.yaml") as f:
         expected_rc = yaml.load(f, Loader=yaml.FullLoader)
-        assert test_rc == expected_rc
+        assert cluster.resource_yaml == expected_rc
 
 
 def test_default_appwrapper_creation(mocker):
@@ -53,81 +50,46 @@ def test_default_appwrapper_creation(mocker):
         ClusterConfiguration(name="default-appwrapper", namespace="ns", appwrapper=True)
     )
 
-    test_aw = yaml.load(cluster.app_wrapper_yaml, Loader=yaml.FullLoader)
     with open(f"{expected_clusters_dir}/ray/default-appwrapper.yaml") as f:
         expected_aw = yaml.load(f, Loader=yaml.FullLoader)
-        assert test_aw == expected_aw
+        assert cluster.resource_yaml == expected_aw
 
 
-@patch.dict("os.environ", {"NB_PREFIX": "test-prefix"})
 def test_config_creation_all_parameters(mocker):
     from codeflare_sdk.ray.cluster.config import DEFAULT_RESOURCE_MAPPING
 
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
-    extended_resource_mapping = DEFAULT_RESOURCE_MAPPING
-    extended_resource_mapping.update({"example.com/gpu": "GPU"})
-
-    config = ClusterConfiguration(
-        name="test-all-params",
-        namespace="ns",
-        head_info=["test1", "test2"],
-        head_cpu_requests=4,
-        head_cpu_limits=8,
-        head_memory_requests=12,
-        head_memory_limits=16,
-        head_extended_resource_requests={"nvidia.com/gpu": 1},
-        machine_types={"gpu.small", "gpu.large"},
-        worker_cpu_requests=4,
-        worker_cpu_limits=8,
-        num_workers=10,
-        worker_memory_requests=12,
-        worker_memory_limits=16,
-        template=f"{parent}/src/codeflare_sdk/ray/templates/base-template.yaml",
-        appwrapper=False,
-        envs={"key1": "value1", "key2": "value2"},
-        image="example/ray:tag",
-        image_pull_secrets=["secret1", "secret2"],
-        write_to_file=True,
-        verify_tls=True,
-        labels={"key1": "value1", "key2": "value2"},
-        worker_extended_resource_requests={"nvidia.com/gpu": 1},
-        extended_resource_mapping=extended_resource_mapping,
-        overwrite_default_resource_mapping=True,
-        local_queue="local-queue-default",
-    )
-    Cluster(config)
-
-    assert config.name == "test-all-params" and config.namespace == "ns"
-    assert config.head_info == ["test1", "test2"]
-    assert config.head_cpu_requests == 4
-    assert config.head_cpu_limits == 8
-    assert config.head_memory_requests == "12G"
-    assert config.head_memory_limits == "16G"
-    assert config.head_extended_resource_requests == {"nvidia.com/gpu": 1}
-    assert config.machine_types == {"gpu.small", "gpu.large"}
-    assert config.worker_cpu_requests == 4
-    assert config.worker_cpu_limits == 8
-    assert config.num_workers == 10
-    assert config.worker_memory_requests == "12G"
-    assert config.worker_memory_limits == "16G"
+    expected_extended_resource_mapping = DEFAULT_RESOURCE_MAPPING
+    expected_extended_resource_mapping.update({"example.com/gpu": "GPU"})
+    expected_extended_resource_mapping["intel.com/gpu"] = "TPU"
+
+    cluster = create_cluster_all_config_params(mocker, "test-all-params", False)
+    assert cluster.config.name == "test-all-params" and cluster.config.namespace == "ns"
+    assert cluster.config.head_cpu_requests == 4
+    assert cluster.config.head_cpu_limits == 8
+    assert cluster.config.head_memory_requests == "12G"
+    assert cluster.config.head_memory_limits == "16G"
+    assert cluster.config.head_extended_resource_requests == {
+        "nvidia.com/gpu": 1,
+        "intel.com/gpu": 2,
+    }
+    assert cluster.config.worker_cpu_requests == 4
+    assert cluster.config.worker_cpu_limits == 8
+    assert cluster.config.num_workers == 10
+    assert cluster.config.worker_memory_requests == "12G"
+    assert cluster.config.worker_memory_limits == "16G"
+    assert cluster.config.appwrapper == False
+    assert cluster.config.envs == {"key1": "value1", "key2": "value2"}
+    assert cluster.config.image == "example/ray:tag"
+    assert cluster.config.image_pull_secrets == ["secret1", "secret2"]
+    assert cluster.config.write_to_file == True
+    assert cluster.config.verify_tls == True
+    assert cluster.config.labels == {"key1": "value1", "key2": "value2"}
+    assert cluster.config.worker_extended_resource_requests == {"nvidia.com/gpu": 1}
     assert (
-        config.template
-        == f"{parent}/src/codeflare_sdk/ray/templates/base-template.yaml"
+        cluster.config.extended_resource_mapping == expected_extended_resource_mapping
     )
-    assert config.appwrapper == False
-    assert config.envs == {"key1": "value1", "key2": "value2"}
-    assert config.image == "example/ray:tag"
-    assert config.image_pull_secrets == ["secret1", "secret2"]
-    assert config.write_to_file == True
-    assert config.verify_tls == True
-    assert config.labels == {"key1": "value1", "key2": "value2"}
-    assert config.worker_extended_resource_requests == {"nvidia.com/gpu": 1}
-    assert config.extended_resource_mapping == extended_resource_mapping
-    assert config.overwrite_default_resource_mapping == True
-    assert config.local_queue == "local-queue-default"
+    assert cluster.config.overwrite_default_resource_mapping == True
+    assert cluster.config.local_queue == "local-queue-default"
 
     assert filecmp.cmp(
         f"{aw_dir}test-all-params.yaml",
@@ -136,6 +98,15 @@ def test_config_creation_all_parameters(mocker):
     )
 
 
+def test_all_config_params_aw(mocker):
+    create_cluster_all_config_params(mocker, "aw-all-params", True)
+    assert filecmp.cmp(
+        f"{aw_dir}aw-all-params.yaml",
+        f"{expected_clusters_dir}/appwrapper/unit-test-all-params.yaml",
+        shallow=True,
+    )
+
+
 def test_config_creation_wrong_type():
     with pytest.raises(TypeError):
         createClusterWrongType()
@@ -168,3 +139,4 @@ def test_cluster_config_deprecation_conversion(mocker):
 # Make sure to always keep this function last
 def test_cleanup():
     os.remove(f"{aw_dir}test-all-params.yaml")
+    os.remove(f"{aw_dir}aw-all-params.yaml")
diff --git a/src/codeflare_sdk/ray/cluster/test_pretty_print.py b/src/codeflare_sdk/ray/cluster/test_pretty_print.py
index b0da4201..329a1354 100644
--- a/src/codeflare_sdk/ray/cluster/test_pretty_print.py
+++ b/src/codeflare_sdk/ray/cluster/test_pretty_print.py
@@ -29,6 +29,7 @@
     ClusterConfiguration,
     _copy_to_ray,
 )
+from codeflare_sdk.common.utils.unit_test_support import get_local_queue
 
 
 def test_print_no_resources(capsys):
@@ -100,15 +101,15 @@ def test_ray_details(mocker, capsys):
         return_value="",
     )
     mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
     )
     cf = Cluster(
         ClusterConfiguration(
             name="raytest2",
             namespace="ns",
             appwrapper=True,
-            local_queue="local_default_queue",
+            local_queue="local-queue-default",
         )
     )
     captured = capsys.readouterr()
diff --git a/src/codeflare_sdk/ray/cluster/test_status.py b/src/codeflare_sdk/ray/cluster/test_status.py
index 146d2190..27eda49e 100644
--- a/src/codeflare_sdk/ray/cluster/test_status.py
+++ b/src/codeflare_sdk/ray/cluster/test_status.py
@@ -23,6 +23,7 @@
     RayCluster,
 )
 import os
+from ...common.utils.unit_test_support import get_local_queue
 
 aw_dir = os.path.expanduser("~/.codeflare/resources/")
 
@@ -30,10 +31,6 @@
 def test_cluster_status(mocker):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "codeflare_sdk.common.kueue.kueue.local_queue_exists",
-        return_value="true",
-    )
 
     fake_ray = RayCluster(
         name="test",
@@ -50,13 +47,19 @@ def test_cluster_status(mocker):
         head_mem_requests=8,
         head_mem_limits=8,
     )
+
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
+    )
+
     cf = Cluster(
         ClusterConfiguration(
             name="test",
             namespace="ns",
             write_to_file=True,
             appwrapper=False,
-            local_queue="local_default_queue",
+            local_queue="local-queue-default",
         )
     )
     mocker.patch(
diff --git a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
index a072e9e9..9166eced 100644
--- a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
+++ b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
@@ -18,7 +18,6 @@ spec:
       spec:
         autoscalerOptions:
           idleTimeoutSeconds: 60
-          imagePullPolicy: Always
           resources:
             limits:
               cpu: 500m
@@ -44,7 +43,7 @@ spec:
                     fieldRef:
                       fieldPath: status.podIP
                 image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
-                imagePullPolicy: Always
+                imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
new file mode 100644
index 00000000..6d2c5440
--- /dev/null
+++ b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
@@ -0,0 +1,176 @@
+apiVersion: workload.codeflare.dev/v1beta2
+kind: AppWrapper
+metadata:
+  labels:
+    kueue.x-k8s.io/queue-name: local-queue-default
+  name: aw-all-params
+  namespace: ns
+spec:
+  components:
+  - template:
+      apiVersion: ray.io/v1
+      kind: RayCluster
+      metadata:
+        annotations:
+          app.kubernetes.io/managed-by: test-prefix
+        labels:
+          controller-tools.k8s.io: '1.0'
+          key1: value1
+          key2: value2
+        name: aw-all-params
+        namespace: ns
+      spec:
+        autoscalerOptions:
+          idleTimeoutSeconds: 60
+          resources:
+            limits:
+              cpu: 500m
+              memory: 512Mi
+            requests:
+              cpu: 500m
+              memory: 512Mi
+          upscalingMode: Default
+        enableInTreeAutoscaling: false
+        headGroupSpec:
+          enableIngress: false
+          rayStartParams:
+            block: 'true'
+            dashboard-host: 0.0.0.0
+            num-gpus: '1'
+            resources: '"{\"TPU\": 2}"'
+          serviceType: ClusterIP
+          template:
+            spec:
+              containers:
+              - env:
+                - name: key1
+                  value: value1
+                - name: key2
+                  value: value2
+                image: example/ray:tag
+                imagePullPolicy: Always
+                lifecycle:
+                  preStop:
+                    exec:
+                      command:
+                      - /bin/sh
+                      - -c
+                      - ray stop
+                name: ray-head
+                ports:
+                - containerPort: 6379
+                  name: gcs
+                - containerPort: 8265
+                  name: dashboard
+                - containerPort: 10001
+                  name: client
+                resources:
+                  limits:
+                    cpu: 8
+                    intel.com/gpu: 2
+                    memory: 16G
+                    nvidia.com/gpu: 1
+                  requests:
+                    cpu: 4
+                    intel.com/gpu: 2
+                    memory: 12G
+                    nvidia.com/gpu: 1
+                volumeMounts:
+                - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+              imagePullSecrets:
+              - name: secret1
+              - name: secret2
+              volumes:
+              - configMap:
+                  items:
+                  - key: ca-bundle.crt
+                    path: odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-trusted-ca-cert
+              - configMap:
+                  items:
+                  - key: odh-ca-bundle.crt
+                    path: odh-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-ca-cert
+        rayVersion: 2.35.0
+        workerGroupSpecs:
+        - groupName: small-group-aw-all-params
+          maxReplicas: 10
+          minReplicas: 10
+          rayStartParams:
+            block: 'true'
+            num-gpus: '1'
+            resources: '"{}"'
+          replicas: 10
+          template:
+            spec:
+              containers:
+              - env:
+                - name: key1
+                  value: value1
+                - name: key2
+                  value: value2
+                image: example/ray:tag
+                imagePullPolicy: Always
+                lifecycle:
+                  preStop:
+                    exec:
+                      command:
+                      - /bin/sh
+                      - -c
+                      - ray stop
+                name: machine-learning
+                resources:
+                  limits:
+                    cpu: 8
+                    memory: 16G
+                    nvidia.com/gpu: 1
+                  requests:
+                    cpu: 4
+                    memory: 12G
+                    nvidia.com/gpu: 1
+                volumeMounts:
+                - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-cert
+                  subPath: odh-trusted-ca-bundle.crt
+                - mountPath: /etc/pki/tls/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+                - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
+                  name: odh-ca-cert
+                  subPath: odh-ca-bundle.crt
+              imagePullSecrets:
+              - name: secret1
+              - name: secret2
+              volumes:
+              - configMap:
+                  items:
+                  - key: ca-bundle.crt
+                    path: odh-trusted-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-trusted-ca-cert
+              - configMap:
+                  items:
+                  - key: odh-ca-bundle.crt
+                    path: odh-ca-bundle.crt
+                  name: odh-trusted-ca-bundle
+                  optional: true
+                name: odh-ca-cert
diff --git a/tests/test_cluster_yamls/kueue/aw_kueue.yaml b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
index 2c6d868a..402ffb6a 100644
--- a/tests/test_cluster_yamls/kueue/aw_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
@@ -18,7 +18,6 @@ spec:
       spec:
         autoscalerOptions:
           idleTimeoutSeconds: 60
-          imagePullPolicy: Always
           resources:
             limits:
               cpu: 500m
@@ -76,7 +75,6 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
-              imagePullSecrets: []
               volumes:
               - configMap:
                   items:
@@ -103,14 +101,10 @@ spec:
             resources: '"{}"'
           replicas: 2
           template:
-            metadata:
-              annotations:
-                key: value
-              labels:
-                key: value
             spec:
               containers:
               - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                imagePullPolicy: Always
                 lifecycle:
                   preStop:
                     exec:
@@ -139,7 +133,6 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
-              imagePullSecrets: []
               volumes:
               - configMap:
                   items:
diff --git a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
index 0c4efb29..a5cb3616 100644
--- a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
@@ -18,7 +18,6 @@ spec:
       spec:
         autoscalerOptions:
           idleTimeoutSeconds: 60
-          imagePullPolicy: Always
           resources:
             limits:
               cpu: 500m
@@ -76,7 +75,6 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
-              imagePullSecrets: []
               volumes:
               - configMap:
                   items:
@@ -103,14 +101,10 @@ spec:
             resources: '"{}"'
           replicas: 2
           template:
-            metadata:
-              annotations:
-                key: value
-              labels:
-                key: value
             spec:
               containers:
               - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                imagePullPolicy: Always
                 lifecycle:
                   preStop:
                     exec:
@@ -139,7 +133,6 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
-              imagePullSecrets: []
               volumes:
               - configMap:
                   items:
diff --git a/tests/test_cluster_yamls/ray/default-appwrapper.yaml b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
index 60152c1e..3e97474d 100644
--- a/tests/test_cluster_yamls/ray/default-appwrapper.yaml
+++ b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
@@ -16,7 +16,6 @@ spec:
       spec:
         autoscalerOptions:
           idleTimeoutSeconds: 60
-          imagePullPolicy: Always
           resources:
             limits:
               cpu: 500m
@@ -74,7 +73,6 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
-              imagePullSecrets: []
               volumes:
               - configMap:
                   items:
@@ -101,14 +99,10 @@ spec:
             resources: '"{}"'
           replicas: 1
           template:
-            metadata:
-              annotations:
-                key: value
-              labels:
-                key: value
             spec:
               containers:
               - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                imagePullPolicy: Always
                 lifecycle:
                   preStop:
                     exec:
@@ -137,7 +131,6 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
-              imagePullSecrets: []
               volumes:
               - configMap:
                   items:
diff --git a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
index 7a3329b6..34de53d2 100644
--- a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
+++ b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
@@ -8,7 +8,6 @@ metadata:
 spec:
   autoscalerOptions:
     idleTimeoutSeconds: 60
-    imagePullPolicy: Always
     resources:
       limits:
         cpu: 500m
@@ -66,7 +65,6 @@ spec:
           - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
             name: odh-ca-cert
             subPath: odh-ca-bundle.crt
-        imagePullSecrets: []
         volumes:
         - configMap:
             items:
@@ -93,14 +91,10 @@ spec:
       resources: '"{}"'
     replicas: 1
     template:
-      metadata:
-        annotations:
-          key: value
-        labels:
-          key: value
       spec:
         containers:
         - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+          imagePullPolicy: Always
           lifecycle:
             preStop:
               exec:
@@ -129,7 +123,6 @@ spec:
           - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
             name: odh-ca-cert
             subPath: odh-ca-bundle.crt
-        imagePullSecrets: []
         volumes:
         - configMap:
             items:
diff --git a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
index eda7270f..8426eede 100644
--- a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
@@ -13,7 +13,6 @@ metadata:
 spec:
   autoscalerOptions:
     idleTimeoutSeconds: 60
-    imagePullPolicy: Always
     resources:
       limits:
         cpu: 500m
@@ -29,14 +28,16 @@ spec:
       block: 'true'
       dashboard-host: 0.0.0.0
       num-gpus: '1'
-      resources: '"{}"'
+      resources: '"{\"TPU\": 2}"'
     serviceType: ClusterIP
     template:
       spec:
         containers:
-        - env: &id001
-            key1: value1
-            key2: value2
+        - env:
+          - name: key1
+            value: value1
+          - name: key2
+            value: value2
           image: example/ray:tag
           imagePullPolicy: Always
           lifecycle:
@@ -57,10 +58,12 @@ spec:
           resources:
             limits:
               cpu: 8
+              intel.com/gpu: 2
               memory: 16G
               nvidia.com/gpu: 1
             requests:
               cpu: 4
+              intel.com/gpu: 2
               memory: 12G
               nvidia.com/gpu: 1
           volumeMounts:
@@ -105,15 +108,15 @@ spec:
       resources: '"{}"'
     replicas: 10
     template:
-      metadata:
-        annotations:
-          key: value
-        labels:
-          key: value
       spec:
         containers:
-        - env: *id001
+        - env:
+          - name: key1
+            value: value1
+          - name: key2
+            value: value2
           image: example/ray:tag
+          imagePullPolicy: Always
           lifecycle:
             preStop:
               exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
index 9b8a647f..fe26900d 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
@@ -18,7 +18,6 @@ spec:
       spec:
         autoscalerOptions:
           idleTimeoutSeconds: 60
-          imagePullPolicy: Always
           resources:
             limits:
               cpu: 500m
@@ -40,7 +39,7 @@ spec:
             spec:
               containers:
               - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
-                imagePullPolicy: Always
+                imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
index 763eb5c2..eed571fe 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
@@ -18,7 +18,6 @@ spec:
       spec:
         autoscalerOptions:
           idleTimeoutSeconds: 60
-          imagePullPolicy: Always
           resources:
             limits:
               cpu: 500m
@@ -40,7 +39,7 @@ spec:
             spec:
               containers:
               - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
-                imagePullPolicy: Always
+                imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
index f12ffde0..5f5d456c 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
@@ -9,7 +9,6 @@ metadata:
 spec:
   autoscalerOptions:
     idleTimeoutSeconds: 60
-    imagePullPolicy: Always
     resources:
       limits:
         cpu: 500m
@@ -31,7 +30,7 @@ spec:
       spec:
         containers:
         - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
-          imagePullPolicy: Always
+          imagePullPolicy: IfNotPresent
           lifecycle:
             preStop:
               exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
index 1d41e365..3bf894db 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
@@ -9,7 +9,6 @@ metadata:
 spec:
   autoscalerOptions:
     idleTimeoutSeconds: 60
-    imagePullPolicy: Always
     resources:
       limits:
         cpu: 500m
@@ -31,7 +30,7 @@ spec:
       spec:
         containers:
         - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
-          imagePullPolicy: Always
+          imagePullPolicy: IfNotPresent
           lifecycle:
             preStop:
               exec:
diff --git a/ui-tests/playwright.config.js b/ui-tests/playwright.config.js
index 88003f8e..1ba51f15 100644
--- a/ui-tests/playwright.config.js
+++ b/ui-tests/playwright.config.js
@@ -2,7 +2,7 @@ const baseConfig = require('@jupyterlab/galata/lib/playwright-config');
 
 module.exports = {
   ...baseConfig,
-  timeout: 460000,
+  timeout: 600000,
   webServer: {
     command: 'yarn start',
     url: 'http://localhost:8888/lab',

From eb5ce8daae989989307d577252511eda9a52ee53 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" 
Date: Thu, 7 Nov 2024 09:33:30 +0000
Subject: [PATCH 170/254] Updated coverage.svg

---
 coverage.svg | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/coverage.svg b/coverage.svg
index fe061433..59d64b37 100644
--- a/coverage.svg
+++ b/coverage.svg
@@ -15,7 +15,7 @@
     
         coverage
         coverage
-        94%
-        94%
+        93%
+        93%
     
 

From ed1cc7af3047c36b8342af82d168006367e84c98 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Wed, 30 Oct 2024 16:03:24 +0000
Subject: [PATCH 171/254] Add Snyk security workflow to track multiple tags

---
 .github/workflows/release.yaml       | 36 ++++++++++++++++++++++++
 .github/workflows/snyk-security.yaml | 41 ++++++++++++++++++++++++++++
 2 files changed, 77 insertions(+)
 create mode 100644 .github/workflows/snyk-security.yaml

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index ccac5260..2b2e392a 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -27,15 +27,22 @@ on:
               type: string
               default: "project-codeflare"
 
+env:
+  PR_BRANCH_NAME: snyk-tag-monitoring-${{ github.run_id }}
+
 jobs:
     release:
         runs-on: ubuntu-latest
         permissions:
             contents: write
             id-token: write  # This permission is required for trusted publishing
+            pull-requests: write # This permission is required for creating PRs
         steps:
             - name: Checkout the repository
               uses: actions/checkout@v4
+              with:
+                  submodules: recursive
+                  token: ${{ secrets.GH_CLI_TOKEN }}
             - name: Install Python
               uses: actions/setup-python@v5
               with:
@@ -81,3 +88,32 @@ jobs:
               env:
                 GITHUB_TOKEN: ${{ secrets.CODEFLARE_MACHINE_ACCOUNT_TOKEN }}
               shell: bash
+
+            - name: Append tag to Snyk monitoring list
+              run: |
+                sed -i 's/list_of_released_tags=(/list_of_released_tags=("v${{ github.event.inputs.release-version }}", /' .github/workflows/snyk-security.yaml
+
+            - name: Commit and push changes
+              run: |
+                git config --global user.email "138894154+codeflare-machine-account@users.noreply.github.com"
+                git config --global user.name "codeflare-machine-account"
+                git checkout -b $PR_BRANCH_NAME
+                git commit -am "Update snyk-security.yaml"
+                git push --set-upstream origin "$PR_BRANCH_NAME"
+
+            - name: Create Pull Request
+              run: |
+                  gh pr create \
+                  --title "$pr_title" \
+                  --body "$pr_body" \
+                  --head ${{ env.PR_BRANCH_NAME }} \
+                  --base main \
+                  --label "lgtm" \
+                  --label "approved"
+              env:
+                GITHUB_TOKEN: ${{ secrets.GH_CLI_TOKEN }}
+                pr_title: "[CodeFlare-Machine] Append tag v${{ github.event.inputs.release-version }} to Snyk monitoring list"
+                pr_body: |
+                  :rocket: This is an automated Pull Request generated by [release.yaml](https://github.com/project-codeflare/codeflare-sdk/blob/main/.github/workflows/release.yaml) workflow.
+
+                  This PR appends to the list of tags that Snyk will be monitoring.
diff --git a/.github/workflows/snyk-security.yaml b/.github/workflows/snyk-security.yaml
new file mode 100644
index 00000000..ee497f31
--- /dev/null
+++ b/.github/workflows/snyk-security.yaml
@@ -0,0 +1,41 @@
+name: Snyk Security
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  snyk-scan:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+            submodules: recursive
+
+      - name: Install Snyk CLI
+        run: npm install -g snyk
+
+      - name: Snyk Monitor and Test multiple projects
+        env:
+          SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
+          SNYK_ORG: ${{ secrets.SNYK_ORG }}
+        run: |
+          echo "Fetching tags"
+          git fetch origin 'refs/tags/*:refs/tags/*'
+
+          echo "Authenticating with Snyk"
+          snyk auth ${SNYK_TOKEN}
+
+          echo "Scanning project: codeflare-sdk/main"
+          snyk monitor --all-projects --exclude=requirements.txt --org=${SNYK_ORG} --target-reference="main"
+
+          # This list is based off RHOAI Supported versions: https://access.redhat.com/support/policy/updates/rhoai-sm/lifecycle
+          # Compared to the tags in the ImageStream annotations: https://github.com/red-hat-data-services/notebooks/blob/rhoai-2.8/manifests/base/jupyter-datascience-notebook-imagestream.yaml
+          # Loop through the list of released tags and scan each project
+          list_of_released_tags=("v0.22.0" "v0.21.1" "v0.19.1", "v0.16.4", "vv0.14.1")
+          for project in "${list_of_released_tags[@]}"; do
+            echo "Scanning project: codeflare-sdk/$project"
+            git checkout $project
+            snyk monitor --all-projects --exclude=requirements.txt --org=${SNYK_ORG} --target-reference="$(git describe --tags)"
+          done

From 84b571a9d1044e2cf14146f69a69c07b3d23b69e Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Wed, 6 Nov 2024 10:56:54 +0000
Subject: [PATCH 172/254] Cache npm dependencies in snyk-security workflow

---
 .github/workflows/release.yaml       | 5 ++---
 .github/workflows/snyk-security.yaml | 6 +++++-
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 2b2e392a..dacd904c 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -41,7 +41,6 @@ jobs:
             - name: Checkout the repository
               uses: actions/checkout@v4
               with:
-                  submodules: recursive
                   token: ${{ secrets.GH_CLI_TOKEN }}
             - name: Install Python
               uses: actions/setup-python@v5
@@ -95,8 +94,8 @@ jobs:
 
             - name: Commit and push changes
               run: |
-                git config --global user.email "138894154+codeflare-machine-account@users.noreply.github.com"
-                git config --global user.name "codeflare-machine-account"
+                git config --global user.email "${{ vars.CODEFLARE_MACHINE_EMAIL }}"
+                git config --global user.name "${{ vars.CODEFLARE_MACHINE_NAME }}"
                 git checkout -b $PR_BRANCH_NAME
                 git commit -am "Update snyk-security.yaml"
                 git push --set-upstream origin "$PR_BRANCH_NAME"
diff --git a/.github/workflows/snyk-security.yaml b/.github/workflows/snyk-security.yaml
index ee497f31..3d43da45 100644
--- a/.github/workflows/snyk-security.yaml
+++ b/.github/workflows/snyk-security.yaml
@@ -10,8 +10,12 @@ jobs:
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
+
+      - name: Setup Node.js to cache dependencies
+        uses: actions/setup-node@v4
         with:
-            submodules: recursive
+          node-version: 20
+          cache: 'npm'
 
       - name: Install Snyk CLI
         run: npm install -g snyk

From 9af07a0926befa35fc990f52d59cb75df75ca28a Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Wed, 6 Nov 2024 15:46:40 +0000
Subject: [PATCH 173/254] Snyk Security workflow enhancements

---
 .github/workflows/release.yaml       | 37 ++++++++++------------------
 .github/workflows/snyk-security.yaml | 16 ------------
 2 files changed, 13 insertions(+), 40 deletions(-)

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index dacd904c..ddc23b5a 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -88,31 +88,20 @@ jobs:
                 GITHUB_TOKEN: ${{ secrets.CODEFLARE_MACHINE_ACCOUNT_TOKEN }}
               shell: bash
 
-            - name: Append tag to Snyk monitoring list
+            - name: Install Snyk CLI and setup monitoring for new release tag
+              env:
+                SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
+                SNYK_ORG: ${{ secrets.SNYK_ORG }}
               run: |
-                sed -i 's/list_of_released_tags=(/list_of_released_tags=("v${{ github.event.inputs.release-version }}", /' .github/workflows/snyk-security.yaml
+                echo "Installing Snyk CLI"
+                npm install -g snyk
 
-            - name: Commit and push changes
-              run: |
-                git config --global user.email "${{ vars.CODEFLARE_MACHINE_EMAIL }}"
-                git config --global user.name "${{ vars.CODEFLARE_MACHINE_NAME }}"
-                git checkout -b $PR_BRANCH_NAME
-                git commit -am "Update snyk-security.yaml"
-                git push --set-upstream origin "$PR_BRANCH_NAME"
+                echo "Fetching tags"
+                git fetch origin 'refs/tags/*:refs/tags/*'
 
-            - name: Create Pull Request
-              run: |
-                  gh pr create \
-                  --title "$pr_title" \
-                  --body "$pr_body" \
-                  --head ${{ env.PR_BRANCH_NAME }} \
-                  --base main \
-                  --label "lgtm" \
-                  --label "approved"
-              env:
-                GITHUB_TOKEN: ${{ secrets.GH_CLI_TOKEN }}
-                pr_title: "[CodeFlare-Machine] Append tag v${{ github.event.inputs.release-version }} to Snyk monitoring list"
-                pr_body: |
-                  :rocket: This is an automated Pull Request generated by [release.yaml](https://github.com/project-codeflare/codeflare-sdk/blob/main/.github/workflows/release.yaml) workflow.
+                echo "Authenticating with Snyk"
+                snyk auth ${SNYK_TOKEN}
 
-                  This PR appends to the list of tags that Snyk will be monitoring.
+                echo "Scanning project: codeflare-sdk/v${{ github.event.inputs.release-version }}"
+                git checkout v${{ github.event.inputs.release-version }}
+                snyk monitor --all-projects --exclude=requirements.txt --org=${SNYK_ORG} --target-reference="$(git describe --tags)"
diff --git a/.github/workflows/snyk-security.yaml b/.github/workflows/snyk-security.yaml
index 3d43da45..ba4af2dc 100644
--- a/.github/workflows/snyk-security.yaml
+++ b/.github/workflows/snyk-security.yaml
@@ -11,12 +11,6 @@ jobs:
       - name: Checkout code
         uses: actions/checkout@v4
 
-      - name: Setup Node.js to cache dependencies
-        uses: actions/setup-node@v4
-        with:
-          node-version: 20
-          cache: 'npm'
-
       - name: Install Snyk CLI
         run: npm install -g snyk
 
@@ -33,13 +27,3 @@ jobs:
 
           echo "Scanning project: codeflare-sdk/main"
           snyk monitor --all-projects --exclude=requirements.txt --org=${SNYK_ORG} --target-reference="main"
-
-          # This list is based off RHOAI Supported versions: https://access.redhat.com/support/policy/updates/rhoai-sm/lifecycle
-          # Compared to the tags in the ImageStream annotations: https://github.com/red-hat-data-services/notebooks/blob/rhoai-2.8/manifests/base/jupyter-datascience-notebook-imagestream.yaml
-          # Loop through the list of released tags and scan each project
-          list_of_released_tags=("v0.22.0" "v0.21.1" "v0.19.1", "v0.16.4", "vv0.14.1")
-          for project in "${list_of_released_tags[@]}"; do
-            echo "Scanning project: codeflare-sdk/$project"
-            git checkout $project
-            snyk monitor --all-projects --exclude=requirements.txt --org=${SNYK_ORG} --target-reference="$(git describe --tags)"
-          done

From 493e560be4a4c406b621d1a7f34dfd7295d9e0e4 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Tue, 29 Oct 2024 11:58:01 +0000
Subject: [PATCH 174/254] docs: enhance ray module code documentation

---
 src/codeflare_sdk/ray/client/ray_jobs.py | 145 ++++++++++++++++++-----
 src/codeflare_sdk/ray/cluster/cluster.py | 101 ++++++++++++----
 src/codeflare_sdk/ray/cluster/config.py  |  68 +++++++----
 3 files changed, 239 insertions(+), 75 deletions(-)

diff --git a/src/codeflare_sdk/ray/client/ray_jobs.py b/src/codeflare_sdk/ray/client/ray_jobs.py
index 9f002295..2c0ceee0 100644
--- a/src/codeflare_sdk/ray/client/ray_jobs.py
+++ b/src/codeflare_sdk/ray/client/ray_jobs.py
@@ -24,16 +24,28 @@
 
 class RayJobClient:
     """
-    A class that functions as a wrapper for the Ray Job Submission Client.
-
-    parameters:
-    address -- Either (1) the address of the Ray cluster, or (2) the HTTP address of the dashboard server on the head node, e.g. “http://:8265”. In case (1) it must be specified as an address that can be passed to ray.init(),
-    e.g. a Ray Client address (ray://:10001), or “auto”, or “localhost:”. If unspecified, will try to connect to a running local Ray cluster. This argument is always overridden by the RAY_ADDRESS environment variable.
-    create_cluster_if_needed -- Indicates whether the cluster at the specified address needs to already be running. Ray doesn't start a cluster before interacting with jobs, but third-party job managers may do so.
-    cookies -- Cookies to use when sending requests to the HTTP job server.
-    metadata -- Arbitrary metadata to store along with all jobs. New metadata specified per job will be merged with the global metadata provided here via a simple dict update.
-    headers -- Headers to use when sending requests to the HTTP job server, used for cases like authentication to a remote cluster.
-    verify -- Boolean indication to verify the server's TLS certificate or a path to a file or directory of trusted certificates. Default: True.
+    A wrapper class for the Ray Job Submission Client, used for interacting with Ray clusters to manage job
+    submissions, deletions, and other job-related information.
+
+    Args:
+        address (Optional[str]):
+            The Ray cluster's address, which may be either the Ray Client address, HTTP address
+            of the dashboard server on the head node, or "auto" / "localhost:" for a local cluster.
+            This is overridden by the RAY_ADDRESS environment variable if set.
+        create_cluster_if_needed (bool):
+            If True, a new cluster will be created if not already running at the
+            specified address. By default, Ray requires an existing cluster.
+        cookies (Optional[Dict[str, Any]]):
+            HTTP cookies to send with requests to the job server.
+        metadata (Optional[Dict[str, Any]]):
+            Global metadata to store with all jobs, merged with job-specific
+            metadata during job submission.
+        headers (Optional[Dict[str, Any]]):
+            HTTP headers to send with requests to the job server, can be used for
+            authentication.
+        verify (Optional[Union[str, bool]]):
+            If True, verifies the server's TLS certificate. Can also be a path
+            to trusted certificates. Default is True.
     """
 
     def __init__(
@@ -67,18 +79,35 @@ def submit_job(
         entrypoint_resources: Optional[Dict[str, float]] = None,
     ) -> str:
         """
-        Method for submitting jobs to a Ray Cluster and returning the job id with entrypoint being a mandatory field.
-
-        Parameters:
-        entrypoint -- The shell command to run for this job.
-        submission_id -- A unique ID for this job.
-        runtime_env -- The runtime environment to install and run this job in.
-        metadata -- Arbitrary data to store along with this job.
-        job_id -- DEPRECATED. This has been renamed to submission_id
-        entrypoint_num_cpus -- The quantity of CPU cores to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-        entrypoint_num_gpus -- The quantity of GPUs to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-        entrypoint_memory –- The quantity of memory to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it. Defaults to 0.
-        entrypoint_resources -- The quantity of custom resources to reserve for the execution of the entrypoint command, separately from any tasks or actors launched by it.
+        Submits a job to the Ray cluster with specified resources and returns the job ID.
+
+        Args:
+            entrypoint (str):
+                The command to execute for this job.
+            job_id (Optional[str]):
+                Deprecated, use `submission_id`. A unique job identifier.
+            runtime_env (Optional[Dict[str, Any]]):
+                The runtime environment for this job.
+            metadata (Optional[Dict[str, str]]):
+                Metadata associated with the job, merged with global metadata.
+            submission_id (Optional[str]):
+                Unique ID for the job submission.
+            entrypoint_num_cpus (Optional[Union[int, float]]):
+                The quantity of CPU cores to reserve for the execution of the entrypoint command,
+                separately from any tasks or actors launched by it. Defaults to 0.
+            entrypoint_num_gpus (Optional[Union[int, float]]):
+                The quantity of GPUs to reserve for the execution of the entrypoint command,
+                separately from any tasks or actors launched by it. Defaults to 0.
+            entrypoint_memory (Optional[int]):
+                The quantity of memory to reserve for the execution of the entrypoint command,
+                separately from any tasks or actors launched by it. Defaults to 0.
+            entrypoint_resources (Optional[Dict[str, float]]):
+                The quantity of custom resources to reserve for the execution of the entrypoint command,
+                separately from any tasks or actors launched by it.
+
+        Returns:
+            str:
+                The unique identifier for the submitted job.
         """
         return self.rayJobClient.submit_job(
             entrypoint=entrypoint,
@@ -94,7 +123,15 @@ def submit_job(
 
     def delete_job(self, job_id: str) -> (bool, str):
         """
-        Method for deleting jobs with the job id being a mandatory field.
+        Deletes a job by job ID.
+
+        Args:
+            job_id (str):
+                The unique identifier of the job to delete.
+
+        Returns:
+            tuple(bool, str):
+                A tuple with deletion status and a message.
         """
         deletion_status = self.rayJobClient.delete_job(job_id=job_id)
 
@@ -107,37 +144,77 @@ def delete_job(self, job_id: str) -> (bool, str):
 
     def get_address(self) -> str:
         """
-        Method for getting the address from the RayJobClient
+        Retrieves the address of the connected Ray cluster.
+
+        Returns:
+            str:
+                The Ray cluster's address.
         """
         return self.rayJobClient.get_address()
 
     def get_job_info(self, job_id: str):
         """
-        Method for getting the job info with the job id being a mandatory field.
+        Fetches information about a job by job ID.
+
+        Args:
+            job_id (str):
+                The unique identifier of the job.
+
+        Returns:
+            JobInfo:
+                Information about the job's status, progress, and other details.
         """
         return self.rayJobClient.get_job_info(job_id=job_id)
 
     def get_job_logs(self, job_id: str) -> str:
         """
-        Method for getting the job logs with the job id being a mandatory field.
+        Retrieves the logs for a specific job by job ID.
+
+        Args:
+            job_id (str):
+                The unique identifier of the job.
+
+        Returns:
+            str:
+                Logs output from the job.
         """
         return self.rayJobClient.get_job_logs(job_id=job_id)
 
     def get_job_status(self, job_id: str) -> str:
         """
-        Method for getting the job's status with the job id being a mandatory field.
+        Fetches the current status of a job by job ID.
+
+        Args:
+            job_id (str):
+                The unique identifier of the job.
+
+        Returns:
+            str:
+                The job's status.
         """
         return self.rayJobClient.get_job_status(job_id=job_id)
 
     def list_jobs(self) -> List[JobDetails]:
         """
-        Method for getting a list of current jobs in the Ray Cluster.
+        Lists all current jobs in the Ray cluster.
+
+        Returns:
+            List[JobDetails]:
+                A list of job details for each current job in the cluster.
         """
         return self.rayJobClient.list_jobs()
 
     def stop_job(self, job_id: str) -> (bool, str):
         """
-        Method for stopping a job with the job id being a mandatory field.
+        Stops a running job by job ID.
+
+        Args:
+            job_id (str):
+                The unique identifier of the job to stop.
+
+        Returns:
+            tuple(bool, str):
+                A tuple with the stop status and a message.
         """
         stop_job_status = self.rayJobClient.stop_job(job_id=job_id)
         if stop_job_status:
@@ -148,6 +225,14 @@ def stop_job(self, job_id: str) -> (bool, str):
 
     def tail_job_logs(self, job_id: str) -> Iterator[str]:
         """
-        Method for getting an iterator that follows the logs of a job with the job id being a mandatory field.
+        Continuously streams the logs of a job.
+
+        Args:
+            job_id (str):
+                The unique identifier of the job.
+
+        Returns:
+            Iterator[str]:
+                An iterator that yields log entries in real-time.
         """
         return self.rayJobClient.tail_job_logs(job_id=job_id)
diff --git a/src/codeflare_sdk/ray/cluster/cluster.py b/src/codeflare_sdk/ray/cluster/cluster.py
index fe29eaa9..fd059277 100644
--- a/src/codeflare_sdk/ray/cluster/cluster.py
+++ b/src/codeflare_sdk/ray/cluster/cluster.py
@@ -296,6 +296,17 @@ def status(
         return status, ready
 
     def is_dashboard_ready(self) -> bool:
+        """
+        Checks if the cluster's dashboard is ready and accessible.
+
+        This method attempts to send a GET request to the cluster dashboard URI.
+        If the request is successful (HTTP status code 200), it returns True.
+        If an SSL error occurs, it returns False, indicating the dashboard is not ready.
+
+        Returns:
+            bool:
+                True if the dashboard is ready, False otherwise.
+        """
         try:
             response = requests.get(
                 self.cluster_dashboard_uri(),
@@ -313,8 +324,22 @@ def is_dashboard_ready(self) -> bool:
 
     def wait_ready(self, timeout: Optional[int] = None, dashboard_check: bool = True):
         """
-        Waits for requested cluster to be ready, up to an optional timeout (s).
-        Checks every five seconds.
+        Waits for the requested cluster to be ready, up to an optional timeout.
+
+        This method checks the status of the cluster every five seconds until it is
+        ready or the timeout is reached. If dashboard_check is enabled, it will also
+        check for the readiness of the dashboard.
+
+        Args:
+            timeout (Optional[int]):
+                The maximum time to wait for the cluster to be ready in seconds. If None, waits indefinitely.
+            dashboard_check (bool):
+                Flag to determine if the dashboard readiness should
+                be checked. Defaults to True.
+
+        Raises:
+            TimeoutError:
+                If the timeout is reached before the cluster or dashboard is ready.
         """
         print("Waiting for requested resources to be set up...")
         time = 0
@@ -346,6 +371,21 @@ def wait_ready(self, timeout: Optional[int] = None, dashboard_check: bool = True
             time += 5
 
     def details(self, print_to_console: bool = True) -> RayCluster:
+        """
+        Retrieves details about the Ray Cluster.
+
+        This method returns a copy of the Ray Cluster information and optionally prints
+        the details to the console.
+
+        Args:
+            print_to_console (bool):
+                Flag to determine if the cluster details should be
+                printed to the console. Defaults to True.
+
+        Returns:
+            RayCluster:
+                A copy of the Ray Cluster details.
+        """
         cluster = _copy_to_ray(self)
         if print_to_console:
             pretty_print.print_clusters([cluster])
@@ -447,6 +487,13 @@ def _head_worker_extended_resources_from_rc_dict(rc: Dict) -> Tuple[dict, dict]:
         return head_extended_resources, worker_extended_resources
 
     def local_client_url(self):
+        """
+        Constructs the URL for the local Ray client.
+
+        Returns:
+            str:
+                The Ray client URL based on the ingress domain.
+        """
         ingress_domain = _get_ingress_domain(self)
         return f"ray://{ingress_domain}"
 
@@ -504,6 +551,13 @@ def list_all_queued(
 
 
 def get_current_namespace():  # pragma: no cover
+    """
+    Retrieves the current Kubernetes namespace.
+
+    Returns:
+        str:
+            The current namespace or None if not found.
+    """
     if os.path.isfile("/var/run/secrets/kubernetes.io/serviceaccount/namespace"):
         try:
             file = open("/var/run/secrets/kubernetes.io/serviceaccount/namespace", "r")
@@ -528,26 +582,29 @@ def get_cluster(
     verify_tls: bool = True,
     write_to_file: bool = False,
 ):
-    """Returns the given Ray Cluster/AppWrapper as a Cluster Object
-
-    The get_cluster() method is used for retrieving a Ray Cluster that already exists in your K8s Cluster.
-    Returned is a basic Cluster object which includes the exact yaml for your Ray Cluster under Cluster.resource_yaml.
-
-    Parameters
-    ----------
-    cluster_name : str
-        The name of the Ray Cluster/AppWrapper
-    namespace : str
-        The namespace of the Ray Cluster/AppWrapper
-    verify_tls : bool
-        A boolean indicating whether to verify TLS when connecting to the cluster
-    write_to_file : bool
-        A boolean indicating whether or not to write the resource to a Yaml file
-
-    Raises
-    ------
-    Exception
-        If the Ray Cluster/AppWrapper cannot be found/does not exist
+    """
+    Retrieves an existing Ray Cluster or AppWrapper as a Cluster object.
+
+    This function fetches an existing Ray Cluster or AppWrapper from the Kubernetes cluster and returns
+    it as a `Cluster` object, including its YAML configuration under `Cluster.resource_yaml`.
+
+    Args:
+        cluster_name (str):
+            The name of the Ray Cluster or AppWrapper.
+        namespace (str, optional):
+            The Kubernetes namespace where the Ray Cluster or AppWrapper is located. Default is "default".
+        verify_tls (bool, optional):
+            Whether to verify TLS when connecting to the cluster. Default is True.
+        write_to_file (bool, optional):
+            If True, writes the resource configuration to a YAML file. Default is False.
+
+    Returns:
+        Cluster:
+            A Cluster object representing the retrieved Ray Cluster or AppWrapper.
+
+    Raises:
+        Exception:
+            If the Ray Cluster or AppWrapper cannot be found or does not exist.
     """
     config_check()
     api_instance = client.CustomObjectsApi(get_api_client())
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index b8b1652e..f321c278 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -44,29 +44,51 @@ class ClusterConfiguration:
     This dataclass is used to specify resource requirements and other details, and
     is passed in as an argument when creating a Cluster object.
 
-    Attributes:
-    - name: The name of the cluster.
-    - namespace: The namespace in which the cluster should be created.
-    - head_cpus: The number of CPUs to allocate to the head node.
-    - head_memory: The amount of memory to allocate to the head node.
-    - head_gpus: The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests)
-    - head_extended_resource_requests: A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1}
-    - min_cpus: The minimum number of CPUs to allocate to each worker.
-    - max_cpus: The maximum number of CPUs to allocate to each worker.
-    - num_workers: The number of workers to create.
-    - min_memory: The minimum amount of memory to allocate to each worker.
-    - max_memory: The maximum amount of memory to allocate to each worker.
-    - num_gpus: The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests)
-    - appwrapper: A boolean indicating whether to use an AppWrapper.
-    - envs: A dictionary of environment variables to set for the cluster.
-    - image: The image to use for the cluster.
-    - image_pull_secrets: A list of image pull secrets to use for the cluster.
-    - write_to_file: A boolean indicating whether to write the cluster configuration to a file.
-    - verify_tls: A boolean indicating whether to verify TLS when connecting to the cluster.
-    - labels: A dictionary of labels to apply to the cluster.
-    - worker_extended_resource_requests: A dictionary of extended resource requests for each worker. ex: {"nvidia.com/gpu": 1}
-    - extended_resource_mapping: A dictionary of custom resource mappings to map extended resource requests to RayCluster resource names
-    - overwrite_default_resource_mapping: A boolean indicating whether to overwrite the default resource mapping.
+    Args:
+        name:
+            The name of the cluster.
+        namespace:
+            The namespace in which the cluster should be created.
+        head_cpus:
+            The number of CPUs to allocate to the head node.
+        head_memory:
+            The amount of memory to allocate to the head node.
+        head_gpus:
+            The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests)
+        head_extended_resource_requests:
+            A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1}
+        min_cpus:
+            The minimum number of CPUs to allocate to each worker.
+        max_cpus:
+            The maximum number of CPUs to allocate to each worker.
+        num_workers:
+            The number of workers to create.
+        min_memory:
+            The minimum amount of memory to allocate to each worker.
+        max_memory:
+            The maximum amount of memory to allocate to each worker.
+        num_gpus:
+            The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests)
+        appwrapper:
+            A boolean indicating whether to use an AppWrapper.
+        envs:
+            A dictionary of environment variables to set for the cluster.
+        image:
+            The image to use for the cluster.
+        image_pull_secrets:
+            A list of image pull secrets to use for the cluster.
+        write_to_file:
+            A boolean indicating whether to write the cluster configuration to a file.
+        verify_tls:
+            A boolean indicating whether to verify TLS when connecting to the cluster.
+        labels:
+            A dictionary of labels to apply to the cluster.
+        worker_extended_resource_requests:
+            A dictionary of extended resource requests for each worker. ex: {"nvidia.com/gpu": 1}
+        extended_resource_mapping:
+            A dictionary of custom resource mappings to map extended resource requests to RayCluster resource names
+        overwrite_default_resource_mapping:
+            A boolean indicating whether to overwrite the default resource mapping.
     """
 
     name: str

From 70d453d951360c3a75bfd5d379ed05410689fdf9 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Tue, 12 Nov 2024 10:03:24 +0000
Subject: [PATCH 175/254] removing params that do not exist

---
 docs/sphinx/user-docs/cluster-configuration.rst     | 1 -
 src/codeflare_sdk/common/utils/unit_test_support.py | 1 -
 2 files changed, 2 deletions(-)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index 238ad51c..dc3f2cf4 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -25,7 +25,6 @@ requirements for creating the Ray Cluster.
        worker_memory_requests=2, # Default 2
        worker_memory_limits=2, # Default 2
        # image="", # Optional Field
-       machine_types=["m5.xlarge", "g4dn.xlarge"],
        labels={"exampleLabel": "example", "secondLabel": "example"},
    ))
 
diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 88b65aa4..9345fbc3 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -62,7 +62,6 @@ def createClusterWrongType():
         worker_memory_limits=6,
         worker_extended_resource_requests={"nvidia.com/gpu": 7},
         appwrapper=True,
-        machine_types=[True, False],
         image_pull_secrets=["unit-test-pull-secret"],
         image="quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06",
         write_to_file=True,

From 23445708a234df91e317d01c80e3c38b3f07ddc0 Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Tue, 12 Nov 2024 14:12:37 +0000
Subject: [PATCH 176/254] Update comments in demo notebooks

---
 demo-notebooks/guided-demos/0_basic_ray.ipynb |   2 +-
 .../guided-demos/1_cluster_job_client.ipynb   |   7 +++++++
 .../guided-demos/2_basic_interactive.ipynb    |   8 ++++++++
 .../guided-demos/3_widget_example.ipynb       |   2 +-
 .../tests/widget_notebook_example.test.ts     |  16 ++++++++--------
 .../widgets-cell-3-linux.png                  | Bin 7692 -> 8156 bytes
 6 files changed, 25 insertions(+), 10 deletions(-)

diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb
index 51fb0026..be05130e 100644
--- a/demo-notebooks/guided-demos/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb
@@ -88,7 +88,7 @@
    "id": "12eef53c",
    "metadata": {},
    "source": [
-    "Next, we want to bring our cluster up, so we call the `up()` function below to submit our Ray Cluster onto the queue, and begin the process of obtaining our resource cluster."
+    "To create the Ray Cluster, we can click the `Cluster Up` button to submit our Ray Cluster onto the queue, and begin the process of creating a Ray Cluster resource. Alternatively, you can run the code cell below to do the same."
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
index aaed9930..8db650dd 100644
--- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
@@ -76,6 +76,13 @@
     "))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To create the Ray Cluster, we can tick the `Wait for cluster?` checkbox and click the `Cluster Up` button to submit our Ray Cluster onto the queue, and begin the process of creating a Ray Cluster resource while waiting for the Ray Dashboard to be available. Alternatively, you can run the code cell below to do the same."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
index 8610a055..5528d04b 100644
--- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
@@ -81,6 +81,14 @@
     "))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "6973247b",
+   "metadata": {},
+   "source": [
+    "To create the Ray Cluster, we can tick the `Wait for cluster?` checkbox and click the `Cluster Up` button to submit our Ray Cluster onto the queue, and begin the process of creating a Ray Cluster resource while waiting for the Ray Dashboard to be available. Alternatively, you can run the code cell below to do the same."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/demo-notebooks/guided-demos/3_widget_example.ipynb b/demo-notebooks/guided-demos/3_widget_example.ipynb
index cf0df6dd..243c75ec 100644
--- a/demo-notebooks/guided-demos/3_widget_example.ipynb
+++ b/demo-notebooks/guided-demos/3_widget_example.ipynb
@@ -65,7 +65,7 @@
     "# Create and configure our cluster object\n",
     "# The SDK will try to find the name of your default local queue based on the annotation \"kueue.x-k8s.io/default-queue\": \"true\" unless you specify the local queue manually below\n",
     "cluster = Cluster(ClusterConfiguration(\n",
-    "    name='raytest',\n",
+    "    name='widgettest',\n",
     "    head_cpu_requests='500m',\n",
     "    head_cpu_limits='500m',\n",
     "    head_memory_requests=2,\n",
diff --git a/ui-tests/tests/widget_notebook_example.test.ts b/ui-tests/tests/widget_notebook_example.test.ts
index db746e00..d37c225c 100644
--- a/ui-tests/tests/widget_notebook_example.test.ts
+++ b/ui-tests/tests/widget_notebook_example.test.ts
@@ -88,7 +88,7 @@ test.describe("Visual Regression", () => {
     await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Up")', async (button) => {
       await button.click();
 
-      const successMessage = await page.waitForSelector('text=Ray Cluster: \'raytest\' has successfully been created', { timeout: 10000 });
+      const successMessage = await page.waitForSelector('text=Ray Cluster: \'widgettest\' has successfully been created', { timeout: 10000 });
       expect(successMessage).not.toBeNull();
 
       const resourcesMessage = await page.waitForSelector('text=Waiting for requested resources to be set up...');
@@ -105,20 +105,20 @@ test.describe("Visual Regression", () => {
 
     await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Down")', async (button) => {
       await button.click();
-      const clusterDownMessage = await page.waitForSelector('text=Ray Cluster: \'raytest\' has successfully been deleted', { timeout: 5000 });
+      const clusterDownMessage = await page.waitForSelector('text=Ray Cluster: \'widgettest\' has successfully been deleted', { timeout: 5000 });
       expect(clusterDownMessage).not.toBeNull();
     });
 
     await runPreviousCell(page, cellCount, '(, False)');
 
     // Replace text in ClusterConfiguration to run a new RayCluster
-    const cell = page.getByText('raytest').first();
-    await cell.fill('"raytest-1"');
+    const cell = page.getByText('widgettest').first();
+    await cell.fill('"widgettest-1"');
     await page.notebook.runCell(cellCount - 3, true); // Run ClusterConfiguration cell
 
     await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Up")', async (button) => {
       await button.click();
-      const successMessage = await page.waitForSelector('text=Ray Cluster: \'raytest-1\' has successfully been created', { timeout: 10000 });
+      const successMessage = await page.waitForSelector('text=Ray Cluster: \'widgettest-1\' has successfully been created', { timeout: 10000 });
       expect(successMessage).not.toBeNull();
     });
 
@@ -146,13 +146,13 @@ test.describe("Visual Regression", () => {
 
     await interactWithWidget(page, viewClustersCellIndex, 'button:has-text("Open Ray Dashboard")', async (button) => {
       await button.click();
-      const successMessage = await page.waitForSelector('text=Opening Ray Dashboard for raytest-1 cluster', { timeout: 5000 });
+      const successMessage = await page.waitForSelector('text=Opening Ray Dashboard for widgettest-1 cluster', { timeout: 5000 });
       expect(successMessage).not.toBeNull();
     });
 
     await interactWithWidget(page, viewClustersCellIndex, 'button:has-text("View Jobs")', async (button) => {
       await button.click();
-      const successMessage = await page.waitForSelector('text=Opening Ray Jobs Dashboard for raytest-1 cluster', { timeout: 5000 });
+      const successMessage = await page.waitForSelector('text=Opening Ray Jobs Dashboard for widgettest-1 cluster', { timeout: 5000 });
       expect(successMessage).not.toBeNull();
     });
 
@@ -161,7 +161,7 @@ test.describe("Visual Regression", () => {
 
       const noClustersMessage = await page.waitForSelector(`text=No clusters found in the ${namespace} namespace.`, { timeout: 5000 });
       expect(noClustersMessage).not.toBeNull();
-      const successMessage = await page.waitForSelector(`text=Cluster raytest-1 in the ${namespace} namespace was deleted successfully.`, { timeout: 5000 });
+      const successMessage = await page.waitForSelector(`text=Cluster widgettest-1 in the ${namespace} namespace was deleted successfully.`, { timeout: 5000 });
       expect(successMessage).not.toBeNull();
     });
 
diff --git a/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-3-linux.png b/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-3-linux.png
index bd55aa7784a429a7cdb660b8d4e299e3eeb26f3c..1454d17ca7c04e2fc1f89e7a0114c7bfd5009416 100644
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From b349460e6a57685c1d641064df427d44e175e04e Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Tue, 12 Nov 2024 22:19:00 +0000
Subject: [PATCH 177/254] build(deps): bump torchmetrics in
 /demo-notebooks/guided-demos

Bumps [torchmetrics](https://github.com/Lightning-AI/torchmetrics) from 1.5.1 to 1.6.0.
- [Release notes](https://github.com/Lightning-AI/torchmetrics/releases)
- [Changelog](https://github.com/Lightning-AI/torchmetrics/blob/master/CHANGELOG.md)
- [Commits](https://github.com/Lightning-AI/torchmetrics/compare/v1.5.1...v1.6.0)

---
updated-dependencies:
- dependency-name: torchmetrics
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] 
---
 .../guided-demos/notebook-ex-outputs/requirements.txt           | 2 +-
 demo-notebooks/guided-demos/preview_nbs/requirements.txt        | 2 +-
 demo-notebooks/guided-demos/requirements.txt                    | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
index 27a5620c..c748bec2 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/requirements.txt
@@ -1,4 +1,4 @@
 pytorch_lightning==2.4.0
 ray_lightning
-torchmetrics==1.5.1
+torchmetrics==1.6.0
 torchvision==0.20.1
diff --git a/demo-notebooks/guided-demos/preview_nbs/requirements.txt b/demo-notebooks/guided-demos/preview_nbs/requirements.txt
index 27a5620c..c748bec2 100644
--- a/demo-notebooks/guided-demos/preview_nbs/requirements.txt
+++ b/demo-notebooks/guided-demos/preview_nbs/requirements.txt
@@ -1,4 +1,4 @@
 pytorch_lightning==2.4.0
 ray_lightning
-torchmetrics==1.5.1
+torchmetrics==1.6.0
 torchvision==0.20.1
diff --git a/demo-notebooks/guided-demos/requirements.txt b/demo-notebooks/guided-demos/requirements.txt
index 27a5620c..c748bec2 100644
--- a/demo-notebooks/guided-demos/requirements.txt
+++ b/demo-notebooks/guided-demos/requirements.txt
@@ -1,4 +1,4 @@
 pytorch_lightning==2.4.0
 ray_lightning
-torchmetrics==1.5.1
+torchmetrics==1.6.0
 torchvision==0.20.1

From 2bf575b815ad44b8cfd414ff79e7c580ac298e89 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Wed, 13 Nov 2024 15:43:19 +0000
Subject: [PATCH 178/254] fix: removes label selector from old e2e tests

---
 tests/e2e/heterogeneous_clusters_kind_test.py |  2 +-
 .../e2e/heterogeneous_clusters_oauth_test.py  |  2 +-
 tests/e2e/support.py                          | 40 +++++++++++++------
 3 files changed, 29 insertions(+), 15 deletions(-)

diff --git a/tests/e2e/heterogeneous_clusters_kind_test.py b/tests/e2e/heterogeneous_clusters_kind_test.py
index 8f814a7c..052fa7b8 100644
--- a/tests/e2e/heterogeneous_clusters_kind_test.py
+++ b/tests/e2e/heterogeneous_clusters_kind_test.py
@@ -25,7 +25,7 @@ def teardown_method(self):
     @pytest.mark.nvidia_gpu
     def test_heterogeneous_clusters(self):
         create_namespace(self)
-        create_kueue_resources(self, 2)
+        create_kueue_resources(self, 2, with_labels=True, with_tolerations=True)
         self.run_heterogeneous_clusters()
 
     def run_heterogeneous_clusters(
diff --git a/tests/e2e/heterogeneous_clusters_oauth_test.py b/tests/e2e/heterogeneous_clusters_oauth_test.py
index 4a7a687c..d57cff48 100644
--- a/tests/e2e/heterogeneous_clusters_oauth_test.py
+++ b/tests/e2e/heterogeneous_clusters_oauth_test.py
@@ -24,7 +24,7 @@ def teardown_method(self):
 
     def test_heterogeneous_clusters(self):
         create_namespace(self)
-        create_kueue_resources(self, 2)
+        create_kueue_resources(self, 2, with_labels=True, with_tolerations=True)
         self.run_heterogeneous_clusters()
 
     def run_heterogeneous_clusters(
diff --git a/tests/e2e/support.py b/tests/e2e/support.py
index 60488466..d76b460c 100644
--- a/tests/e2e/support.py
+++ b/tests/e2e/support.py
@@ -66,12 +66,14 @@ def create_namespace(self):
         return RuntimeError(e)
 
 
-def create_new_resource_flavor(self, num_flavors):
+def create_new_resource_flavor(self, num_flavors, with_labels, with_tolerations):
     self.resource_flavors = []
     for i in range(num_flavors):
         default = i < 1
         resource_flavor = f"test-resource-flavor-{random_choice()}"
-        create_resource_flavor(self, resource_flavor, default)
+        create_resource_flavor(
+            self, resource_flavor, default, with_labels, with_tolerations
+        )
         self.resource_flavors.append(resource_flavor)
 
 
@@ -173,7 +175,9 @@ def create_cluster_queue(self, cluster_queue, flavor):
     self.cluster_queue = cluster_queue
 
 
-def create_resource_flavor(self, flavor, default=True):
+def create_resource_flavor(
+    self, flavor, default=True, with_labels=False, with_tolerations=False
+):
     worker_label, worker_value = os.getenv("WORKER_LABEL", "worker-1=true").split("=")
     control_label, control_value = os.getenv(
         "CONTROL_LABEL", "ingress-ready=true"
@@ -182,9 +186,11 @@ def create_resource_flavor(self, flavor, default=True):
         "TOLERATION_KEY", "node-role.kubernetes.io/control-plane"
     )
 
-    node_labels = (
-        {worker_label: worker_value} if default else {control_label: control_value}
-    )
+    node_labels = {}
+    if with_labels:
+        node_labels = (
+            {worker_label: worker_value} if default else {control_label: control_value}
+        )
 
     resource_flavor_json = {
         "apiVersion": "kueue.x-k8s.io/v1beta1",
@@ -192,13 +198,19 @@ def create_resource_flavor(self, flavor, default=True):
         "metadata": {"name": flavor},
         "spec": {
             "nodeLabels": node_labels,
-            "tolerations": [
+            **(
                 {
-                    "key": toleration_key,
-                    "operator": "Exists",
-                    "effect": "NoSchedule",
+                    "tolerations": [
+                        {
+                            "key": toleration_key,
+                            "operator": "Exists",
+                            "effect": "NoSchedule",
+                        }
+                    ]
                 }
-            ],
+                if with_tolerations
+                else {}
+            ),
         },
     }
 
@@ -260,9 +272,11 @@ def create_local_queue(self, cluster_queue, local_queue, is_default=True):
     self.local_queue = local_queue
 
 
-def create_kueue_resources(self, resource_ammount=1):
+def create_kueue_resources(
+    self, resource_ammount=1, with_labels=False, with_tolerations=False
+):
     print("creating Kueue resources ...")
-    create_new_resource_flavor(self, resource_ammount)
+    create_new_resource_flavor(self, resource_ammount, with_labels, with_tolerations)
     create_new_cluster_queue(self, resource_ammount)
     create_new_local_queue(self, resource_ammount)
 

From d2b47e68de314f96fb699d0292001bde29340120 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Mon, 18 Nov 2024 14:45:32 +0000
Subject: [PATCH 179/254] fix(ci): remove 'continue-on-error' from unit test
 workflow for accurate test reporting

---
 .github/workflows/unit-tests.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml
index 34327533..267e1a6c 100755
--- a/.github/workflows/unit-tests.yml
+++ b/.github/workflows/unit-tests.yml
@@ -29,7 +29,6 @@ jobs:
           coverage run -m pytest
           coverage=$(coverage report -m | tail -1 | tail -c 4 | head -c 2)
           if (( $coverage < 90 )); then echo "Coverage failed at ${coverage}%"; exit 1; else echo "Coverage passed, ${coverage}%"; fi
-        continue-on-error: true
       - name: Upload to Codecov
         uses: codecov/codecov-action@v4
         with:

From 2fc4eb29baa7558fa1a98135fa54f543ef475d4c Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 18 Nov 2024 21:38:52 +0000
Subject: [PATCH 180/254] build(deps): bump aiohttp from 3.10.8 to 3.10.11

Bumps [aiohttp](https://github.com/aio-libs/aiohttp) from 3.10.8 to 3.10.11.
- [Release notes](https://github.com/aio-libs/aiohttp/releases)
- [Changelog](https://github.com/aio-libs/aiohttp/blob/master/CHANGES.rst)
- [Commits](https://github.com/aio-libs/aiohttp/compare/v3.10.8...v3.10.11)

---
updated-dependencies:
- dependency-name: aiohttp
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] 
---
 poetry.lock | 186 ++++++++++++++++++++++++++--------------------------
 1 file changed, 93 insertions(+), 93 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index ef86eafa..9dd98d00 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -13,108 +13,108 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.10.8"
+version = "3.10.11"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "aiohttp-3.10.11-cp38-cp38-win32.whl", hash = "sha256:9ec1628180241d906a0840b38f162a3215114b14541f1a8711c368a8739a9be4"},
+    {file = "aiohttp-3.10.11-cp38-cp38-win_amd64.whl", hash = "sha256:9c6e0ffd52c929f985c7258f83185d17c76d4275ad22e90aa29f38e211aacbec"},
+    {file = "aiohttp-3.10.11-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:cdc493a2e5d8dc79b2df5bec9558425bcd39aff59fc949810cbd0832e294b106"},
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+    {file = "aiohttp-3.10.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:099fd126bf960f96d34a760e747a629c27fb3634da5d05c7ef4d35ef4ea519fc"},
+    {file = "aiohttp-3.10.11-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c73c4d3dae0b4644bc21e3de546530531d6cdc88659cdeb6579cd627d3c206aa"},
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+    {file = "aiohttp-3.10.11-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:0acafb350cfb2eba70eb5d271f55e08bd4502ec35e964e18ad3e7d34d71f7261"},
+    {file = "aiohttp-3.10.11-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:c13ed0c779911c7998a58e7848954bd4d63df3e3575f591e321b19a2aec8df9f"},
+    {file = "aiohttp-3.10.11-cp39-cp39-win32.whl", hash = "sha256:22b7c540c55909140f63ab4f54ec2c20d2635c0289cdd8006da46f3327f971b9"},
+    {file = "aiohttp-3.10.11-cp39-cp39-win_amd64.whl", hash = "sha256:7b26b1551e481012575dab8e3727b16fe7dd27eb2711d2e63ced7368756268fb"},
+    {file = "aiohttp-3.10.11.tar.gz", hash = "sha256:9dc2b8f3dcab2e39e0fa309c8da50c3b55e6f34ab25f1a71d3288f24924d33a7"},
 ]
 
 [package.dependencies]
 aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
-async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
+async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"

From e8f7709aa7717d053968fe181ebec2c1751f3be1 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 18 Nov 2024 23:34:00 +0000
Subject: [PATCH 181/254] build(deps-dev): bump @playwright/test in /ui-tests

Bumps [@playwright/test](https://github.com/microsoft/playwright) from 1.48.2 to 1.49.0.
- [Release notes](https://github.com/microsoft/playwright/releases)
- [Commits](https://github.com/microsoft/playwright/compare/v1.48.2...v1.49.0)

---
updated-dependencies:
- dependency-name: "@playwright/test"
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] 
---
 ui-tests/package.json |  2 +-
 ui-tests/yarn.lock    | 28 ++++++++++++++--------------
 2 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/ui-tests/package.json b/ui-tests/package.json
index 89971922..41c47066 100644
--- a/ui-tests/package.json
+++ b/ui-tests/package.json
@@ -16,7 +16,7 @@
   "license": "BSD-3-Clause",
   "devDependencies": {
     "@jupyterlab/galata": "^5.3.0",
-    "@playwright/test": "^1.48.2",
+    "@playwright/test": "^1.49.0",
     "yarn-deduplicate": "^6.0.1"
   }
 }
diff --git a/ui-tests/yarn.lock b/ui-tests/yarn.lock
index 5d383ffc..cf0b5b0c 100644
--- a/ui-tests/yarn.lock
+++ b/ui-tests/yarn.lock
@@ -1170,12 +1170,12 @@
   dependencies:
     exenv-es6 "^1.1.1"
 
-"@playwright/test@^1.48.0", "@playwright/test@^1.48.2":
-  version "1.48.2"
-  resolved "https://registry.npmjs.org/@playwright/test/-/test-1.48.2.tgz#87dd40633f980872283404c8142a65744d3f13d6"
-  integrity sha512-54w1xCWfXuax7dz4W2M9uw0gDyh+ti/0K/MxcCUxChFh37kkdxPdfZDw5QBbuPUJHr1CiHJ1hXgSs+GgeQc5Zw==
+"@playwright/test@^1.48.0", "@playwright/test@^1.49.0":
+  version "1.49.0"
+  resolved "https://registry.npmjs.org/@playwright/test/-/test-1.49.0.tgz#74227385b58317ee076b86b56d0e1e1b25cff01e"
+  integrity sha512-DMulbwQURa8rNIQrf94+jPJQ4FmOVdpE5ZppRNvWVjvhC+6sOeo28r8MgIpQRYouXRtt/FCCXU7zn20jnHR4Qw==
   dependencies:
-    playwright "1.48.2"
+    playwright "1.49.0"
 
 "@rjsf/core@^5.13.4":
   version "5.21.0"
@@ -2098,17 +2098,17 @@ picocolors@^1.0.1:
   resolved "https://registry.npmjs.org/picocolors/-/picocolors-1.1.0.tgz#5358b76a78cde483ba5cef6a9dc9671440b27d59"
   integrity sha512-TQ92mBOW0l3LeMeyLV6mzy/kWr8lkd/hp3mTg7wYK7zJhuBStmGMBG0BdeDZS/dZx1IukaX6Bk11zcln25o1Aw==
 
-playwright-core@1.48.2:
-  version "1.48.2"
-  resolved "https://registry.npmjs.org/playwright-core/-/playwright-core-1.48.2.tgz#cd76ed8af61690edef5c05c64721c26a8db2f3d7"
-  integrity sha512-sjjw+qrLFlriJo64du+EK0kJgZzoQPsabGF4lBvsid+3CNIZIYLgnMj9V6JY5VhM2Peh20DJWIVpVljLLnlawA==
+playwright-core@1.49.0:
+  version "1.49.0"
+  resolved "https://registry.npmjs.org/playwright-core/-/playwright-core-1.49.0.tgz#8e69ffed3f41855b854982f3632f2922c890afcb"
+  integrity sha512-R+3KKTQF3npy5GTiKH/T+kdhoJfJojjHESR1YEWhYuEKRVfVaxH3+4+GvXE5xyCngCxhxnykk0Vlah9v8fs3jA==
 
-playwright@1.48.2:
-  version "1.48.2"
-  resolved "https://registry.npmjs.org/playwright/-/playwright-1.48.2.tgz#fca45ae8abdc34835c715718072aaff7e305167e"
-  integrity sha512-NjYvYgp4BPmiwfe31j4gHLa3J7bD2WiBz8Lk2RoSsmX38SVIARZ18VYjxLjAcDsAhA+F4iSEXTSGgjua0rrlgQ==
+playwright@1.49.0:
+  version "1.49.0"
+  resolved "https://registry.npmjs.org/playwright/-/playwright-1.49.0.tgz#df6b9e05423377a99658202844a294a8afb95d0a"
+  integrity sha512-eKpmys0UFDnfNb3vfsf8Vx2LEOtflgRebl0Im2eQQnYMA4Aqd+Zw8bEOB+7ZKvN76901mRnqdsiOGKxzVTbi7A==
   dependencies:
-    playwright-core "1.48.2"
+    playwright-core "1.49.0"
   optionalDependencies:
     fsevents "2.3.2"
 

From 6500c41c2d1985f6fdba07463844fb4228fbb17e Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 18 Nov 2024 22:07:57 +0000
Subject: [PATCH 182/254] build(deps-dev): bump jupyterlab from 4.2.5 to 4.3.1

Bumps [jupyterlab](https://github.com/jupyterlab/jupyterlab) from 4.2.5 to 4.3.1.
- [Release notes](https://github.com/jupyterlab/jupyterlab/releases)
- [Changelog](https://github.com/jupyterlab/jupyterlab/blob/@jupyterlab/lsp@4.3.1/CHANGELOG.md)
- [Commits](https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/lsp@4.2.5...@jupyterlab/lsp@4.3.1)

---
updated-dependencies:
- dependency-name: jupyterlab
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] 
---
 poetry.lock    | 14 +++++++-------
 pyproject.toml |  2 +-
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 9dd98d00..413122c1 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1666,13 +1666,13 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
 
 [[package]]
 name = "jupyterlab"
-version = "4.2.5"
+version = "4.3.1"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab-4.2.5-py3-none-any.whl", hash = "sha256:73b6e0775d41a9fee7ee756c80f58a6bed4040869ccc21411dc559818874d321"},
-    {file = "jupyterlab-4.2.5.tar.gz", hash = "sha256:ae7f3a1b8cb88b4f55009ce79fa7c06f99d70cd63601ee4aa91815d054f46f75"},
+    {file = "jupyterlab-4.3.1-py3-none-any.whl", hash = "sha256:2d9a1c305bc748e277819a17a5d5e22452e533e835f4237b2f30f3b0e491e01f"},
+    {file = "jupyterlab-4.3.1.tar.gz", hash = "sha256:a4a338327556443521731d82f2a6ccf926df478914ca029616621704d47c3c65"},
 ]
 
 [package.dependencies]
@@ -1693,9 +1693,9 @@ tornado = ">=6.2.0"
 traitlets = "*"
 
 [package.extras]
-dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.3.5)"]
-docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"]
-docs-screenshots = ["altair (==5.3.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.2)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.1.post2)", "matplotlib (==3.8.3)", "nbconvert (>=7.0.0)", "pandas (==2.2.1)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"]
+dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.6.9)"]
+docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<8.1.0)", "sphinx-copybutton"]
+docs-screenshots = ["altair (==5.4.1)", "ipython (==8.16.1)", "ipywidgets (==8.1.5)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.2.post3)", "matplotlib (==3.9.2)", "nbconvert (>=7.0.0)", "pandas (==2.2.3)", "scipy (==1.14.1)", "vega-datasets (==0.9.0)"]
 test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
 upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"]
 
@@ -4212,4 +4212,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "c1aae8c255de1b3e2e8bcd45f6d4eddb81a395397fd46359500b94af18c8d37c"
+content-hash = "a8bc47ba5ed0d0d30a52b50bf986b85da8cdc8b85f9dbe47ebae32dab695e95f"
diff --git a/pyproject.toml b/pyproject.toml
index c86799b5..ef88b255 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,7 +45,7 @@ pytest = "7.4.0"
 coverage = "7.6.4"
 pytest-mock = "3.11.1"
 pytest-timeout = "2.3.1"
-jupyterlab = "4.2.5"
+jupyterlab = "4.3.1"
 
 [tool.pytest.ini_options]
 filterwarnings = [

From 9e2adefefa6af8687677ae9169341ece5f690469 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Tue, 19 Nov 2024 12:21:52 +0000
Subject: [PATCH 183/254] fix: cell snapshot that changes after jupyterlab bump

---
 .../widgets-cell-5-linux.png                  | Bin 10040 -> 10323 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-5-linux.png b/ui-tests/tests/widget_notebook_example.test.ts-snapshots/widgets-cell-5-linux.png
index 92781875d7266212ec05c3417aa0e72ce60e60f9..c352985319e4b55696d7733a4bb895799aa748e4 100644
GIT binary patch
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z`#Br<90$#RvHIU
Date: Wed, 20 Nov 2024 16:49:04 +0000
Subject: [PATCH 184/254] fix: get_cluster with job submission

---
 src/codeflare_sdk/ray/cluster/cluster.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/codeflare_sdk/ray/cluster/cluster.py b/src/codeflare_sdk/ray/cluster/cluster.py
index fd059277..a3f34554 100644
--- a/src/codeflare_sdk/ray/cluster/cluster.py
+++ b/src/codeflare_sdk/ray/cluster/cluster.py
@@ -72,6 +72,7 @@ def __init__(self, config: ClusterConfiguration):
         request.
         """
         self.config = config
+        self._job_submission_client = None
         if self.config is None:
             warnings.warn(
                 "Please provide a ClusterConfiguration to initialise the Cluster object"
@@ -80,7 +81,6 @@ def __init__(self, config: ClusterConfiguration):
         else:
             self.resource_yaml = self.create_resource()
 
-        self._job_submission_client = None
         if is_notebook():
             cluster_up_down_buttons(self)
 

From 003a287bacc867d385f928c45e6bbd499ad4ac74 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Wed, 13 Nov 2024 10:36:43 +0000
Subject: [PATCH 185/254] enhance error handling in _kube_api_error_handling

---
 .../kubernetes_cluster/kube_api_helpers.py    | 59 +++++++++++--------
 1 file changed, 35 insertions(+), 24 deletions(-)

diff --git a/src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py b/src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py
index 8974a3f3..17a0c248 100644
--- a/src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py
+++ b/src/codeflare_sdk/common/kubernetes_cluster/kube_api_helpers.py
@@ -19,34 +19,45 @@
 
 import executing
 from kubernetes import client, config
-from urllib3.util import parse_url
-import os
+
+ERROR_MESSAGES = {
+    "Not Found": "The requested resource could not be located.\n"
+    "Please verify the resource name and namespace.",
+    "Unauthorized": "Access to the API is unauthorized.\n"
+    "Check your credentials or permissions.",
+    "Forbidden": "Access denied to the Kubernetes resource.\n"
+    "Ensure your role has sufficient permissions for this operation.",
+    "Conflict": "A conflict occurred with the RayCluster resource.\n"
+    "Only one RayCluster with the same name is allowed. "
+    "Please delete or rename the existing RayCluster before creating a new one with the desired name.",
+}
 
 
 # private methods
 def _kube_api_error_handling(
     e: Exception, print_error: bool = True
 ):  # pragma: no cover
-    perm_msg = (
-        "Action not permitted, have you put in correct/up-to-date auth credentials?"
-    )
-    nf_msg = "No instances found, nothing to be done."
-    exists_msg = "Resource with this name already exists."
-    if type(e) == config.ConfigException:
-        raise PermissionError(perm_msg)
-    if type(e) == executing.executing.NotOneValueFound:
+    def print_message(message: str):
         if print_error:
-            print(nf_msg)
-        return
-    if type(e) == client.ApiException:
-        if e.reason == "Not Found":
-            if print_error:
-                print(nf_msg)
-            return
-        elif e.reason == "Unauthorized" or e.reason == "Forbidden":
-            if print_error:
-                print(perm_msg)
-            return
-        elif e.reason == "Conflict":
-            raise FileExistsError(exists_msg)
-    raise e
+            print(message)
+
+    if isinstance(e, client.ApiException):
+        # Retrieve message based on reason, defaulting if reason is not known
+        message = ERROR_MESSAGES.get(
+            e.reason, f"Unexpected API error encountered (Reason: {e.reason})"
+        )
+        full_message = f"{message}\nResponse: {e.body}"
+        print_message(full_message)
+
+    elif isinstance(e, config.ConfigException):
+        message = "Configuration error: Unable to load Kubernetes configuration. Verify the config file path and format."
+        print_message(message)
+
+    elif isinstance(e, executing.executing.NotOneValueFound):
+        message = "Execution error: Expected exactly one value in the operation but found none or multiple."
+        print_message(message)
+
+    else:
+        message = f"Unexpected error:\n{str(e)}"
+        print_message(message)
+        raise e

From 97cd6eaf0996ed1f3ab07a6ea7268d7c13b7f7f8 Mon Sep 17 00:00:00 2001
From: Jiri Petrlik 
Date: Wed, 27 Nov 2024 10:08:12 +0100
Subject: [PATCH 186/254] RHOAIENG-10449 - Add PR check for additional-demos
 notebooks (#684)

---
 .../additional_demo_notebook_tests.yaml       | 255 ++++++++++++++++++
 demo-notebooks/additional-demos/mnist.py      | 160 +++++++++++
 .../additional-demos/requirements.txt         |   5 +
 3 files changed, 420 insertions(+)
 create mode 100644 .github/workflows/additional_demo_notebook_tests.yaml
 create mode 100644 demo-notebooks/additional-demos/mnist.py
 create mode 100644 demo-notebooks/additional-demos/requirements.txt

diff --git a/.github/workflows/additional_demo_notebook_tests.yaml b/.github/workflows/additional_demo_notebook_tests.yaml
new file mode 100644
index 00000000..03201e10
--- /dev/null
+++ b/.github/workflows/additional_demo_notebook_tests.yaml
@@ -0,0 +1,255 @@
+name: Additional demo notebooks tests
+
+on:
+  pull_request:
+    types: [ labeled ]
+  workflow_dispatch:
+
+concurrency:
+  group: ${{ github.head_ref }}-${{ github.workflow }}
+  cancel-in-progress: true
+
+env:
+  CODEFLARE_OPERATOR_IMG: "quay.io/project-codeflare/codeflare-operator:dev"
+
+jobs:
+  verify-local_interactive:
+    if: ${{ github.event.label.name == 'test-additional-notebooks' }}
+    runs-on: ubuntu-20.04-4core
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          submodules: recursive
+
+      - name: Checkout common repo code
+        uses: actions/checkout@v4
+        with:
+          repository: 'project-codeflare/codeflare-common'
+          ref: 'main'
+          path: 'common'
+
+      - name: Checkout CodeFlare operator repository
+        uses: actions/checkout@v4
+        with:
+          repository: project-codeflare/codeflare-operator
+          path: codeflare-operator
+
+      - name: Set Go
+        uses: actions/setup-go@v5
+        with:
+          go-version-file: './codeflare-operator/go.mod'
+          cache-dependency-path: "./codeflare-operator/go.sum"
+
+      - name: Set up gotestfmt
+        uses: gotesttools/gotestfmt-action@v2
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Set up specific Python version
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.9'
+          cache: 'pip' # caching pip dependencies
+
+      - name: Setup and start KinD cluster
+        uses: ./common/github-actions/kind
+
+      - name: Deploy CodeFlare stack
+        id: deploy
+        run: |
+          cd codeflare-operator
+          echo Setting up CodeFlare stack
+          make setup-e2e
+          echo Deploying CodeFlare operator
+          make deploy -e IMG="${CODEFLARE_OPERATOR_IMG}" -e ENV="e2e"
+          kubectl wait --timeout=120s --for=condition=Available=true deployment -n openshift-operators codeflare-operator-manager
+          cd ..
+
+      - name: Setup Additional demo notebooks execution
+        run: |
+          echo "Installing papermill and dependencies..."
+          pip install poetry papermill ipython ipykernel
+          # Disable virtualenv due to problems using packaged in virtualenv in papermill
+          poetry config virtualenvs.create false
+
+          echo "Installing SDK..."
+          poetry install --with test,docs
+
+      - name: Run local_interactive.ipynb
+        run: |
+          set -euo pipefail
+
+          # Remove login/logout cells, as KinD doesn't support authentication using token
+          jq -r 'del(.cells[] | select(.source[] | contains("Create authentication object and log in to desired user account")))' local_interactive.ipynb > local_interactive.ipynb.tmp && mv local_interactive.ipynb.tmp local_interactive.ipynb
+          jq -r 'del(.cells[] | select(.source[] | contains("auth.logout()")))' local_interactive.ipynb > local_interactive.ipynb.tmp && mv local_interactive.ipynb.tmp local_interactive.ipynb
+          # Rewrite cluster_uri() to local_client_url() to retrieve client URL available out of cluster, as the test is executed outside of cluster
+          sed -i "s/cluster_uri()/local_client_url()/g" local_interactive.ipynb
+          # Replace async logs with waiting for job to finish, async logs don't work properly in papermill
+          JOB_WAIT=$(jq -r '.' ${GITHUB_WORKSPACE}/.github/resources/wait_for_job_cell.json)
+          jq --argjson job_wait "$JOB_WAIT" -r '(.cells[] | select(.source[] | contains("async for lines in client.tail_job_logs"))) |= $job_wait' local_interactive.ipynb > local_interactive.ipynb.tmp && mv local_interactive.ipynb.tmp local_interactive.ipynb
+          # Set explicit namespace as SDK need it (currently) to resolve local queues
+          sed -i "s/worker_cpu_requests=1,/worker_cpu_requests='250m', namespace='default',/" local_interactive.ipynb
+          # Run notebook
+          poetry run papermill local_interactive.ipynb local_interactive_out.ipynb --log-output --execution-timeout 1200
+        env:
+           GRPC_DNS_RESOLVER: "native"
+        working-directory: demo-notebooks/additional-demos
+
+      - name: Print CodeFlare operator logs
+        if: always() && steps.deploy.outcome == 'success'
+        run: |
+          echo "Printing CodeFlare operator logs"
+          kubectl logs -n openshift-operators --tail -1 -l app.kubernetes.io/name=codeflare-operator | tee ${TEMP_DIR}/codeflare-operator.log
+
+      - name: Print Kueue operator logs
+        if: always() && steps.deploy.outcome == 'success'
+        run: |
+          echo "Printing Kueue operator logs"
+          KUEUE_CONTROLLER_POD=$(kubectl get pods -n kueue-system | grep kueue-controller | awk '{print $1}')
+          kubectl logs -n kueue-system --tail -1 ${KUEUE_CONTROLLER_POD} | tee ${TEMP_DIR}/kueue.log
+
+      - name: Print KubeRay operator logs
+        if: always() && steps.deploy.outcome == 'success'
+        run: |
+          echo "Printing KubeRay operator logs"
+          kubectl logs -n ray-system --tail -1 -l app.kubernetes.io/name=kuberay | tee ${TEMP_DIR}/kuberay.log
+
+      - name: Export all KinD pod logs
+        uses: ./common/github-actions/kind-export-logs
+        if: always() && steps.deploy.outcome == 'success'
+        with:
+          output-directory: ${TEMP_DIR}
+
+      - name: Upload logs
+        uses: actions/upload-artifact@v4
+        if: always() && steps.deploy.outcome == 'success'
+        with:
+          name: logs-local_interactive
+          retention-days: 10
+          path: |
+            ${{ env.TEMP_DIR }}/**/*.log
+
+  verify-ray_job_client:
+    if: ${{ github.event.label.name == 'test-additional-notebooks' }}
+    runs-on: ubuntu-20.04-4core
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          submodules: recursive
+
+      - name: Checkout common repo code
+        uses: actions/checkout@v4
+        with:
+          repository: 'project-codeflare/codeflare-common'
+          ref: 'main'
+          path: 'common'
+
+      - name: Checkout CodeFlare operator repository
+        uses: actions/checkout@v4
+        with:
+          repository: project-codeflare/codeflare-operator
+          path: codeflare-operator
+
+      - name: Set Go
+        uses: actions/setup-go@v5
+        with:
+          go-version-file: './codeflare-operator/go.mod'
+          cache-dependency-path: "./codeflare-operator/go.sum"
+
+      - name: Set up gotestfmt
+        uses: gotesttools/gotestfmt-action@v2
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Set up specific Python version
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.9'
+          cache: 'pip' # caching pip dependencies
+
+      - name: Setup and start KinD cluster
+        uses: ./common/github-actions/kind
+
+      - name: Deploy CodeFlare stack
+        id: deploy
+        run: |
+          cd codeflare-operator
+          echo Setting up CodeFlare stack
+          make setup-e2e
+          echo Deploying CodeFlare operator
+          make deploy -e IMG="${CODEFLARE_OPERATOR_IMG}" -e ENV="e2e"
+          kubectl wait --timeout=120s --for=condition=Available=true deployment -n openshift-operators codeflare-operator-manager
+          cd ..
+
+      - name: Setup Additional demo notebooks execution
+        run: |
+          echo "Installing papermill and dependencies..."
+          pip install poetry papermill ipython ipykernel
+          # Disable virtualenv due to problems using packaged in virtualenv in papermill
+          poetry config virtualenvs.create false
+
+          echo "Installing SDK..."
+          poetry install --with test,docs
+
+      - name: Run ray_job_client.ipynb
+        run: |
+          set -euo pipefail
+
+          # Remove login/logout cells, as KinD doesn't support authentication using token
+          jq -r 'del(.cells[] | select(.source[] | contains("Create authentication object for user permissions")))' ray_job_client.ipynb > ray_job_client.ipynb.tmp && mv ray_job_client.ipynb.tmp ray_job_client.ipynb
+          jq -r 'del(.cells[] | select(.source[] | contains("auth.logout()")))' ray_job_client.ipynb > ray_job_client.ipynb.tmp && mv ray_job_client.ipynb.tmp ray_job_client.ipynb
+          # Rewrite cluster_uri() to local_client_url() to retrieve client URL available out of cluster, as the test is executed outside of cluster
+          sed -i "s/cluster_uri()/local_client_url()/g" ray_job_client.ipynb
+          # Replace async logs with waiting for job to finish, async logs don't work properly in papermill
+          JOB_WAIT=$(jq -r '.' ${GITHUB_WORKSPACE}/.github/resources/wait_for_job_cell.json)
+          jq --argjson job_wait "$JOB_WAIT" -r '(.cells[] | select(.source[] | contains("async for lines in client.tail_job_logs"))) |= $job_wait' ray_job_client.ipynb > ray_job_client.ipynb.tmp && mv ray_job_client.ipynb.tmp ray_job_client.ipynb
+          # Set explicit namespace as SDK need it (currently) to resolve local queues
+          sed -i "s/worker_cpu_requests=1,/worker_cpu_requests='250m', namespace='default',/" ray_job_client.ipynb
+          sed -i "s/worker_memory_requests=4,/worker_memory_requests=1,/" ray_job_client.ipynb
+          sed -i "s/worker_memory_limits=4,/worker_memory_limits=1,/" ray_job_client.ipynb
+          sed -i "s/'Authorization': .*/'Authorization': None\",/" ray_job_client.ipynb
+          sed -i "s/num_workers=2/num_workers=1/" ray_job_client.ipynb
+          sed -i "s/RayJobClient(address=ray_dashboard, headers=header, verify=True)/RayJobClient(address=ray_dashboard, verify=False)/" ray_job_client.ipynb
+          # Run notebook
+          poetry run papermill ray_job_client.ipynb hf_interactive_out.ipynb --log-output --execution-timeout 1200
+        env:
+           GRPC_DNS_RESOLVER: "native"
+        working-directory: demo-notebooks/additional-demos
+
+      - name: Print CodeFlare operator logs
+        if: always() && steps.deploy.outcome == 'success'
+        run: |
+          echo "Printing CodeFlare operator logs"
+          kubectl logs -n openshift-operators --tail -1 -l app.kubernetes.io/name=codeflare-operator | tee ${TEMP_DIR}/codeflare-operator.log
+
+      - name: Print Kueue operator logs
+        if: always() && steps.deploy.outcome == 'success'
+        run: |
+          echo "Printing Kueue operator logs"
+          KUEUE_CONTROLLER_POD=$(kubectl get pods -n kueue-system | grep kueue-controller | awk '{print $1}')
+          kubectl logs -n kueue-system --tail -1 ${KUEUE_CONTROLLER_POD} | tee ${TEMP_DIR}/kueue.log
+
+      - name: Print KubeRay operator logs
+        if: always() && steps.deploy.outcome == 'success'
+        run: |
+          echo "Printing KubeRay operator logs"
+          kubectl logs -n ray-system --tail -1 -l app.kubernetes.io/name=kuberay | tee ${TEMP_DIR}/kuberay.log
+
+      - name: Export all KinD pod logs
+        uses: ./common/github-actions/kind-export-logs
+        if: always() && steps.deploy.outcome == 'success'
+        with:
+          output-directory: ${TEMP_DIR}
+
+      - name: Upload logs
+        uses: actions/upload-artifact@v4
+        if: always() && steps.deploy.outcome == 'success'
+        with:
+          name: logs-ray_job_client
+          retention-days: 10
+          path: |
+            ${{ env.TEMP_DIR }}/**/*.log
diff --git a/demo-notebooks/additional-demos/mnist.py b/demo-notebooks/additional-demos/mnist.py
new file mode 100644
index 00000000..6eb663dc
--- /dev/null
+++ b/demo-notebooks/additional-demos/mnist.py
@@ -0,0 +1,160 @@
+# Copyright 2022 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# In[]
+import os
+
+import torch
+from pytorch_lightning import LightningModule, Trainer
+from pytorch_lightning.callbacks.progress import TQDMProgressBar
+from pytorch_lightning.loggers import CSVLogger
+from torch import nn
+from torch.nn import functional as F
+from torch.utils.data import DataLoader, random_split
+from torchmetrics import Accuracy
+from torchvision import transforms
+from torchvision.datasets import MNIST
+
+PATH_DATASETS = os.environ.get("PATH_DATASETS", ".")
+BATCH_SIZE = 256 if torch.cuda.is_available() else 64
+# %%
+
+print("prior to running the trainer")
+print("MASTER_ADDR: is ", os.getenv("MASTER_ADDR"))
+print("MASTER_PORT: is ", os.getenv("MASTER_PORT"))
+
+
+class LitMNIST(LightningModule):
+    def __init__(self, data_dir=PATH_DATASETS, hidden_size=64, learning_rate=2e-4):
+        super().__init__()
+
+        # Set our init args as class attributes
+        self.data_dir = data_dir
+        self.hidden_size = hidden_size
+        self.learning_rate = learning_rate
+
+        # Hardcode some dataset specific attributes
+        self.num_classes = 10
+        self.dims = (1, 28, 28)
+        channels, width, height = self.dims
+        self.transform = transforms.Compose(
+            [
+                transforms.ToTensor(),
+                transforms.Normalize((0.1307,), (0.3081,)),
+            ]
+        )
+
+        # Define PyTorch model
+        self.model = nn.Sequential(
+            nn.Flatten(),
+            nn.Linear(channels * width * height, hidden_size),
+            nn.ReLU(),
+            nn.Dropout(0.1),
+            nn.Linear(hidden_size, hidden_size),
+            nn.ReLU(),
+            nn.Dropout(0.1),
+            nn.Linear(hidden_size, self.num_classes),
+        )
+
+        self.val_accuracy = Accuracy()
+        self.test_accuracy = Accuracy()
+
+    def forward(self, x):
+        x = self.model(x)
+        return F.log_softmax(x, dim=1)
+
+    def training_step(self, batch, batch_idx):
+        x, y = batch
+        logits = self(x)
+        loss = F.nll_loss(logits, y)
+        return loss
+
+    def validation_step(self, batch, batch_idx):
+        x, y = batch
+        logits = self(x)
+        loss = F.nll_loss(logits, y)
+        preds = torch.argmax(logits, dim=1)
+        self.val_accuracy.update(preds, y)
+
+        # Calling self.log will surface up scalars for you in TensorBoard
+        self.log("val_loss", loss, prog_bar=True)
+        self.log("val_acc", self.val_accuracy, prog_bar=True)
+
+    def test_step(self, batch, batch_idx):
+        x, y = batch
+        logits = self(x)
+        loss = F.nll_loss(logits, y)
+        preds = torch.argmax(logits, dim=1)
+        self.test_accuracy.update(preds, y)
+
+        # Calling self.log will surface up scalars for you in TensorBoard
+        self.log("test_loss", loss, prog_bar=True)
+        self.log("test_acc", self.test_accuracy, prog_bar=True)
+
+    def configure_optimizers(self):
+        optimizer = torch.optim.Adam(self.parameters(), lr=self.learning_rate)
+        return optimizer
+
+    ####################
+    # DATA RELATED HOOKS
+    ####################
+
+    def prepare_data(self):
+        # download
+        print("Downloading MNIST dataset...")
+        MNIST(self.data_dir, train=True, download=True)
+        MNIST(self.data_dir, train=False, download=True)
+
+    def setup(self, stage=None):
+        # Assign train/val datasets for use in dataloaders
+        if stage == "fit" or stage is None:
+            mnist_full = MNIST(self.data_dir, train=True, transform=self.transform)
+            self.mnist_train, self.mnist_val = random_split(mnist_full, [55000, 5000])
+
+        # Assign test dataset for use in dataloader(s)
+        if stage == "test" or stage is None:
+            self.mnist_test = MNIST(
+                self.data_dir, train=False, transform=self.transform
+            )
+
+    def train_dataloader(self):
+        return DataLoader(self.mnist_train, batch_size=BATCH_SIZE)
+
+    def val_dataloader(self):
+        return DataLoader(self.mnist_val, batch_size=BATCH_SIZE)
+
+    def test_dataloader(self):
+        return DataLoader(self.mnist_test, batch_size=BATCH_SIZE)
+
+
+# Init DataLoader from MNIST Dataset
+
+model = LitMNIST()
+
+print("GROUP: ", int(os.environ.get("GROUP_WORLD_SIZE", 1)))
+print("LOCAL: ", int(os.environ.get("LOCAL_WORLD_SIZE", 1)))
+
+# Initialize a trainer
+trainer = Trainer(
+    accelerator="auto",
+    # devices=1 if torch.cuda.is_available() else None,  # limiting got iPython runs
+    max_epochs=5,
+    callbacks=[TQDMProgressBar(refresh_rate=20)],
+    num_nodes=int(os.environ.get("GROUP_WORLD_SIZE", 1)),
+    devices=int(os.environ.get("LOCAL_WORLD_SIZE", 1)),
+    strategy="ddp",
+)
+
+# Train the model ⚡
+trainer.fit(model)
diff --git a/demo-notebooks/additional-demos/requirements.txt b/demo-notebooks/additional-demos/requirements.txt
new file mode 100644
index 00000000..5f86ab53
--- /dev/null
+++ b/demo-notebooks/additional-demos/requirements.txt
@@ -0,0 +1,5 @@
+pytorch_lightning==1.9.5
+ray_lightning
+torchmetrics==0.9.1
+torchvision==0.19.0
+minio

From e666e0a183663d16846efacc673ea12caee9cb3d Mon Sep 17 00:00:00 2001
From: Srihari 
Date: Mon, 25 Nov 2024 13:29:37 +0530
Subject: [PATCH 187/254] Add test coverage to validate the functionality of
 the get_cluster method

---
 .../e2e/mnist_raycluster_sdk_aw_kind_test.py  |  7 +--
 tests/e2e/mnist_raycluster_sdk_kind_test.py   | 10 ++---
 tests/e2e/mnist_raycluster_sdk_oauth_test.py  | 11 ++---
 tests/e2e/support.py                          | 43 +++++++++++++++++++
 4 files changed, 58 insertions(+), 13 deletions(-)

diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
index 4623a9e5..b94fe252 100644
--- a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
+++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
@@ -2,7 +2,7 @@
 
 from time import sleep
 
-from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication
+from codeflare_sdk import Cluster, ClusterConfiguration
 from codeflare_sdk.ray.client import RayJobClient
 
 import pytest
@@ -68,6 +68,9 @@ def run_mnist_raycluster_sdk_kind(
         cluster.details()
 
         self.assert_jobsubmit_withoutlogin_kind(cluster, accelerator, number_of_gpus)
+        assert_get_cluster_and_jobsubmit(
+            self, "mnist", accelerator="gpu", number_of_gpus=1
+        )
 
     # Assertions
 
@@ -106,8 +109,6 @@ def assert_jobsubmit_withoutlogin_kind(self, cluster, accelerator, number_of_gpu
 
         client.delete_job(submission_id)
 
-        cluster.down()
-
     def assert_job_completion(self, status):
         if status == "SUCCEEDED":
             print(f"Job has completed: '{status}'")
diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py
index 6bfb19af..42d0c46b 100644
--- a/tests/e2e/mnist_raycluster_sdk_kind_test.py
+++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py
@@ -2,7 +2,7 @@
 
 from time import sleep
 
-from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication
+from codeflare_sdk import Cluster, ClusterConfiguration
 from codeflare_sdk.ray.client import RayJobClient
 
 import pytest
@@ -44,8 +44,6 @@ def run_mnist_raycluster_sdk_kind(
                 num_workers=1,
                 head_cpu_requests="500m",
                 head_cpu_limits="500m",
-                head_memory_requests=2,
-                head_memory_limits=2,
                 worker_cpu_requests="500m",
                 worker_cpu_limits=1,
                 worker_memory_requests=1,
@@ -68,6 +66,10 @@ def run_mnist_raycluster_sdk_kind(
 
         self.assert_jobsubmit_withoutlogin_kind(cluster, accelerator, number_of_gpus)
 
+        assert_get_cluster_and_jobsubmit(
+            self, "mnist", accelerator="gpu", number_of_gpus=1
+        )
+
     # Assertions
 
     def assert_jobsubmit_withoutlogin_kind(self, cluster, accelerator, number_of_gpus):
@@ -105,8 +107,6 @@ def assert_jobsubmit_withoutlogin_kind(self, cluster, accelerator, number_of_gpu
 
         client.delete_job(submission_id)
 
-        cluster.down()
-
     def assert_job_completion(self, status):
         if status == "SUCCEEDED":
             print(f"Job has completed: '{status}'")
diff --git a/tests/e2e/mnist_raycluster_sdk_oauth_test.py b/tests/e2e/mnist_raycluster_sdk_oauth_test.py
index d3e69868..212c9784 100644
--- a/tests/e2e/mnist_raycluster_sdk_oauth_test.py
+++ b/tests/e2e/mnist_raycluster_sdk_oauth_test.py
@@ -2,7 +2,11 @@
 
 from time import sleep
 
-from codeflare_sdk import Cluster, ClusterConfiguration, TokenAuthentication
+from codeflare_sdk import (
+    Cluster,
+    ClusterConfiguration,
+    TokenAuthentication,
+)
 from codeflare_sdk.ray.client import RayJobClient
 
 import pytest
@@ -44,8 +48,6 @@ def run_mnist_raycluster_sdk_oauth(self):
                 num_workers=1,
                 head_cpu_requests="500m",
                 head_cpu_limits="500m",
-                head_memory_requests=4,
-                head_memory_limits=4,
                 worker_cpu_requests=1,
                 worker_cpu_limits=1,
                 worker_memory_requests=1,
@@ -68,6 +70,7 @@ def run_mnist_raycluster_sdk_oauth(self):
 
         self.assert_jobsubmit_withoutLogin(cluster)
         self.assert_jobsubmit_withlogin(cluster)
+        assert_get_cluster_and_jobsubmit(self, "mnist")
 
     # Assertions
 
@@ -132,8 +135,6 @@ def assert_jobsubmit_withlogin(self, cluster):
 
         client.delete_job(submission_id)
 
-        cluster.down()
-
     def assert_job_completion(self, status):
         if status == "SUCCEEDED":
             print(f"Job has completed: '{status}'")
diff --git a/tests/e2e/support.py b/tests/e2e/support.py
index d76b460c..2ff33e91 100644
--- a/tests/e2e/support.py
+++ b/tests/e2e/support.py
@@ -3,6 +3,7 @@
 import random
 import string
 import subprocess
+from codeflare_sdk import get_cluster
 from kubernetes import client, config
 import kubernetes.client
 from codeflare_sdk.common.kubernetes_cluster.kube_api_helpers import (
@@ -348,3 +349,45 @@ def get_nodes_by_label(self, node_labels):
     label_selector = ",".join(f"{k}={v}" for k, v in node_labels.items())
     nodes = self.api_instance.list_node(label_selector=label_selector)
     return [node.metadata.name for node in nodes.items]
+
+
+def assert_get_cluster_and_jobsubmit(
+    self, cluster_name, accelerator=None, number_of_gpus=None
+):
+    # Retrieve the cluster
+    cluster = get_cluster(cluster_name, self.namespace, False)
+
+    cluster.details()
+
+    # Initialize the job client
+    client = cluster.job_client
+
+    # Submit a job and get the submission ID
+    env_vars = (
+        get_setup_env_variables(ACCELERATOR=accelerator)
+        if accelerator
+        else get_setup_env_variables()
+    )
+    submission_id = client.submit_job(
+        entrypoint="python mnist.py",
+        runtime_env={
+            "working_dir": "./tests/e2e/",
+            "pip": "./tests/e2e/mnist_pip_requirements.txt",
+            "env_vars": env_vars,
+        },
+        entrypoint_num_cpus=1 if number_of_gpus is None else None,
+        entrypoint_num_gpus=number_of_gpus,
+    )
+    print(f"Submitted job with ID: {submission_id}")
+
+    # Fetch the list of jobs and validate
+    job_list = client.list_jobs()
+    print(f"List of Jobs: {job_list}")
+
+    # Validate the number of jobs in the list
+    assert len(job_list) == 1
+
+    # Validate the submission ID matches
+    assert job_list[0].submission_id == submission_id
+
+    cluster.down()

From be9763ae046c21c0921a87faab34ef0f7633d79a Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Wed, 7 Aug 2024 15:20:02 +0100
Subject: [PATCH 188/254] fix: cluster configuration validation for bool type

As bool is a subtype of int, True/False was considered as 1/0
---
 src/codeflare_sdk/common/utils/unit_test_support.py |  2 +-
 src/codeflare_sdk/ray/cluster/config.py             | 12 +++++++++---
 src/codeflare_sdk/ray/cluster/test_config.py        |  4 +++-
 3 files changed, 13 insertions(+), 5 deletions(-)

diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 9345fbc3..8e034378 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -55,7 +55,7 @@ def createClusterWrongType():
     config = ClusterConfiguration(
         name="unit-test-cluster",
         namespace="ns",
-        num_workers=2,
+        num_workers=True,
         worker_cpu_requests=[],
         worker_cpu_limits=4,
         worker_memory_requests=5,
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index f321c278..b8b097f8 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -242,13 +242,15 @@ def _memory_to_resource(self):
 
     def _validate_types(self):
         """Validate the types of all fields in the ClusterConfiguration dataclass."""
+        errors = []
         for field_info in fields(self):
             value = getattr(self, field_info.name)
             expected_type = field_info.type
             if not self._is_type(value, expected_type):
-                raise TypeError(
-                    f"'{field_info.name}' should be of type {expected_type}"
-                )
+                errors.append(f"'{field_info.name}' should be of type {expected_type}.")
+
+        if errors:
+            raise TypeError("Type validation failed:\n" + "\n".join(errors))
 
     @staticmethod
     def _is_type(value, expected_type):
@@ -268,6 +270,10 @@ def check_type(value, expected_type):
                 )
             if origin_type is tuple:
                 return all(check_type(elem, etype) for elem, etype in zip(value, args))
+            if expected_type is int:
+                return isinstance(value, int) and not isinstance(value, bool)
+            if expected_type is bool:
+                return isinstance(value, bool)
             return isinstance(value, expected_type)
 
         return check_type(value, expected_type)
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index 1423fc2b..3416fc28 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -108,9 +108,11 @@ def test_all_config_params_aw(mocker):
 
 
 def test_config_creation_wrong_type():
-    with pytest.raises(TypeError):
+    with pytest.raises(TypeError) as error_info:
         createClusterWrongType()
 
+    assert len(str(error_info.value).splitlines()) == 4
+
 
 def test_cluster_config_deprecation_conversion(mocker):
     config = ClusterConfiguration(

From 3e7a96031dd74034b7fe2245e47871926c8a1d15 Mon Sep 17 00:00:00 2001
From: Akram Ben Aissi 
Date: Thu, 12 Dec 2024 17:16:37 +0100
Subject: [PATCH 189/254] Exclude unit tests code from coverage

---
 .github/workflows/coverage-badge.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/coverage-badge.yaml b/.github/workflows/coverage-badge.yaml
index bae1212d..ed1b08e4 100644
--- a/.github/workflows/coverage-badge.yaml
+++ b/.github/workflows/coverage-badge.yaml
@@ -26,7 +26,7 @@ jobs:
         poetry install --with test
     - name: Generate coverage report
       run: |
-        coverage run -m pytest
+        coverage run -m pytest --omit="src/**/test_*.py,src/codeflare_sdk/common/utils/unit_test_support.py"
 
     - name: Coverage Badge
       uses: tj-actions/coverage-badge-py@v2

From a6252722b93b040c4e7b5fa42df531e6e15b9d54 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Tue, 17 Dec 2024 16:43:53 +0000
Subject: [PATCH 190/254] build: upgrade kubernetes dependency

---
 poetry.lock    | 24 ++++++++++++++++++------
 pyproject.toml |  2 +-
 2 files changed, 19 insertions(+), 7 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 413122c1..2c9b713e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -880,6 +880,17 @@ files = [
     {file = "docutils-0.20.1.tar.gz", hash = "sha256:f08a4e276c3a1583a86dce3e34aba3fe04d02bba2dd51ed16106244e8a923e3b"},
 ]
 
+[[package]]
+name = "durationpy"
+version = "0.9"
+description = "Module for converting between datetime.timedelta and Go's Duration strings."
+optional = false
+python-versions = "*"
+files = [
+    {file = "durationpy-0.9-py3-none-any.whl", hash = "sha256:e65359a7af5cedad07fb77a2dd3f390f8eb0b74cb845589fa6c057086834dd38"},
+    {file = "durationpy-0.9.tar.gz", hash = "sha256:fd3feb0a69a0057d582ef643c355c40d2fa1c942191f914d12203b1a01ac722a"},
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
@@ -1749,23 +1760,24 @@ files = [
 
 [[package]]
 name = "kubernetes"
-version = "26.1.0"
+version = "31.0.0"
 description = "Kubernetes python client"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "kubernetes-26.1.0-py2.py3-none-any.whl", hash = "sha256:e3db6800abf7e36c38d2629b5cb6b74d10988ee0cba6fba45595a7cbe60c0042"},
-    {file = "kubernetes-26.1.0.tar.gz", hash = "sha256:5854b0c508e8d217ca205591384ab58389abdae608576f9c9afc35a3c76a366c"},
+    {file = "kubernetes-31.0.0-py2.py3-none-any.whl", hash = "sha256:bf141e2d380c8520eada8b351f4e319ffee9636328c137aa432bc486ca1200e1"},
+    {file = "kubernetes-31.0.0.tar.gz", hash = "sha256:28945de906c8c259c1ebe62703b56a03b714049372196f854105afe4e6d014c0"},
 ]
 
 [package.dependencies]
 certifi = ">=14.05.14"
+durationpy = ">=0.7"
 google-auth = ">=1.0.1"
+oauthlib = ">=3.2.2"
 python-dateutil = ">=2.5.3"
 pyyaml = ">=5.4.1"
 requests = "*"
 requests-oauthlib = "*"
-setuptools = ">=21.0.0"
 six = ">=1.9.0"
 urllib3 = ">=1.24.2"
 websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
@@ -4212,4 +4224,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "a8bc47ba5ed0d0d30a52b50bf986b85da8cdc8b85f9dbe47ebae32dab695e95f"
+content-hash = "6e5e74183be00c02f89e0da419aec0b032025410f8d2ae8685263fb5bc38b911"
diff --git a/pyproject.toml b/pyproject.toml
index ef88b255..d31ea2e1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,7 +24,7 @@ python = "^3.9"
 openshift-client = "1.0.18"
 rich = ">=12.5,<14.0"
 ray = {version = "2.35.0", extras = ["data", "default"]}
-kubernetes = ">= 25.3.0, < 27"
+kubernetes = ">= 27.2.0"
 cryptography = "43.0.3"
 executing = "1.2.0"
 pydantic = "< 2"

From 3ca9f199b6dd8d476d18802c63a33288e669d8a0 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Wed, 18 Dec 2024 10:10:04 +0000
Subject: [PATCH 191/254] fix: ipywidget test to expect new error message

---
 ui-tests/tests/widget_notebook_example.test.ts | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/ui-tests/tests/widget_notebook_example.test.ts b/ui-tests/tests/widget_notebook_example.test.ts
index d37c225c..3360ba83 100644
--- a/ui-tests/tests/widget_notebook_example.test.ts
+++ b/ui-tests/tests/widget_notebook_example.test.ts
@@ -81,8 +81,8 @@ test.describe("Visual Regression", () => {
 
     await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Down")', async (button) => {
       await button.click();
-      const clusterDownMessage = await page.waitForSelector('text=No instances found, nothing to be done.', { timeout: 5000 });
-      expect(clusterDownMessage).not.toBeNull();
+      const clusterDownMessage = await page.waitForSelector('text=The requested resource could not be located.', { timeout: 5000 });
+      expect(await clusterDownMessage.innerText()).toContain('The requested resource could not be located.');
     });
 
     await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Up")', async (button) => {

From 3aaaaa58a57263c97c769926195cc139e9c811d3 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Wed, 18 Dec 2024 10:59:52 +0000
Subject: [PATCH 192/254] build(deps): bump nanoid from 3.3.7 to 3.3.8 in
 /ui-tests

Bumps [nanoid](https://github.com/ai/nanoid) from 3.3.7 to 3.3.8.
- [Release notes](https://github.com/ai/nanoid/releases)
- [Changelog](https://github.com/ai/nanoid/blob/main/CHANGELOG.md)
- [Commits](https://github.com/ai/nanoid/compare/3.3.7...3.3.8)

---
updated-dependencies:
- dependency-name: nanoid
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] 
---
 ui-tests/yarn.lock | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/ui-tests/yarn.lock b/ui-tests/yarn.lock
index cf0b5b0c..bf9629eb 100644
--- a/ui-tests/yarn.lock
+++ b/ui-tests/yarn.lock
@@ -2059,9 +2059,9 @@ ms@2.0.0:
   integrity sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A==
 
 nanoid@^3.3.7:
-  version "3.3.7"
-  resolved "https://registry.npmjs.org/nanoid/-/nanoid-3.3.7.tgz#d0c301a691bc8d54efa0a2226ccf3fe2fd656bd8"
-  integrity sha512-eSRppjcPIatRIMC1U6UngP8XFcz8MQWGQdt1MTBQ7NaAmvXDfvNxbvWV3x2y6CdEUciCSsDHDQZbhYaB8QEo2g==
+  version "3.3.8"
+  resolved "https://registry.npmjs.org/nanoid/-/nanoid-3.3.8.tgz#b1be3030bee36aaff18bacb375e5cce521684baf"
+  integrity sha512-WNLf5Sd8oZxOm+TzppcYk8gVOgP+l58xNy58D0nbUnOxOWRWvlcCV4kUF7ltmI6PsrLl/BgKEyS4mqsGChFN0w==
 
 node-fetch@^2.6.7:
   version "2.7.0"

From c8e77fca264b32620b16d7b461855ad4c33de166 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Wed, 18 Dec 2024 11:09:13 +0000
Subject: [PATCH 193/254] ci: fix coverage badge wf and omit test files from
 unit test coverage

---
 .github/workflows/coverage-badge.yaml | 2 +-
 .github/workflows/unit-tests.yml      | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/coverage-badge.yaml b/.github/workflows/coverage-badge.yaml
index ed1b08e4..af273ce9 100644
--- a/.github/workflows/coverage-badge.yaml
+++ b/.github/workflows/coverage-badge.yaml
@@ -26,7 +26,7 @@ jobs:
         poetry install --with test
     - name: Generate coverage report
       run: |
-        coverage run -m pytest --omit="src/**/test_*.py,src/codeflare_sdk/common/utils/unit_test_support.py"
+        coverage run --omit="src/**/test_*.py,src/codeflare_sdk/common/utils/unit_test_support.py" -m pytest
 
     - name: Coverage Badge
       uses: tj-actions/coverage-badge-py@v2
diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml
index 267e1a6c..51934628 100755
--- a/.github/workflows/unit-tests.yml
+++ b/.github/workflows/unit-tests.yml
@@ -26,7 +26,7 @@ jobs:
           poetry install --with test
       - name: Test with pytest and check coverage
         run: |
-          coverage run -m pytest
+          coverage run --omit="src/**/test_*.py,src/codeflare_sdk/common/utils/unit_test_support.py" -m pytest
           coverage=$(coverage report -m | tail -1 | tail -c 4 | head -c 2)
           if (( $coverage < 90 )); then echo "Coverage failed at ${coverage}%"; exit 1; else echo "Coverage passed, ${coverage}%"; fi
       - name: Upload to Codecov

From 814efb4cf557458957ce01f81569cb9bedda10f2 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Thu, 2 Jan 2025 10:30:57 +0000
Subject: [PATCH 194/254] Rename GPU GitHub runner to avoid version confusion
 (#787)

---
 .github/workflows/e2e_tests.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index fea42ab6..61781aed 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -21,7 +21,7 @@ env:
 
 jobs:
   kubernetes:
-    runs-on: ubuntu-20.04-4core-gpu
+    runs-on: gpu-t4-4-core
 
     steps:
       - name: Checkout code

From 757a23c89eebf4868931a8b85982dfcbe0f764d1 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Thu, 19 Dec 2024 13:05:04 +0000
Subject: [PATCH 195/254] update GitHub workflows to use Python 3.11 by default

---
 .../workflows/additional_demo_notebook_tests.yaml    |  4 ++--
 .github/workflows/coverage-badge.yaml                |  4 ++--
 .github/workflows/e2e_tests.yaml                     |  2 +-
 .github/workflows/guided_notebook_tests.yaml         |  6 +++---
 .github/workflows/release.yaml                       |  2 +-
 .github/workflows/ui_notebooks_test.yaml             |  2 +-
 .github/workflows/unit-tests.yml                     | 12 ++++++------
 7 files changed, 16 insertions(+), 16 deletions(-)

diff --git a/.github/workflows/additional_demo_notebook_tests.yaml b/.github/workflows/additional_demo_notebook_tests.yaml
index 03201e10..a081f9ee 100644
--- a/.github/workflows/additional_demo_notebook_tests.yaml
+++ b/.github/workflows/additional_demo_notebook_tests.yaml
@@ -50,7 +50,7 @@ jobs:
       - name: Set up specific Python version
         uses: actions/setup-python@v5
         with:
-          python-version: '3.9'
+          python-version: '3.11'
           cache: 'pip' # caching pip dependencies
 
       - name: Setup and start KinD cluster
@@ -168,7 +168,7 @@ jobs:
       - name: Set up specific Python version
         uses: actions/setup-python@v5
         with:
-          python-version: '3.9'
+          python-version: '3.11'
           cache: 'pip' # caching pip dependencies
 
       - name: Setup and start KinD cluster
diff --git a/.github/workflows/coverage-badge.yaml b/.github/workflows/coverage-badge.yaml
index af273ce9..e2fdddae 100644
--- a/.github/workflows/coverage-badge.yaml
+++ b/.github/workflows/coverage-badge.yaml
@@ -13,10 +13,10 @@ jobs:
 
     steps:
     - uses: actions/checkout@v4
-    - name: Set up Python 3.9
+    - name: Set up Python 3.11
       uses: actions/setup-python@v5
       with:
-        python-version: 3.9
+        python-version: 3.11
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip
diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index 61781aed..fca6d6e7 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -56,7 +56,7 @@ jobs:
       - name: Set up specific Python version
         uses: actions/setup-python@v5
         with:
-          python-version: '3.9'
+          python-version: '3.11'
           cache: 'pip' # caching pip dependencies
 
       - name: Setup NVidia GPU environment for KinD
diff --git a/.github/workflows/guided_notebook_tests.yaml b/.github/workflows/guided_notebook_tests.yaml
index 7a77d5a3..71a82284 100644
--- a/.github/workflows/guided_notebook_tests.yaml
+++ b/.github/workflows/guided_notebook_tests.yaml
@@ -49,7 +49,7 @@ jobs:
       - name: Set up specific Python version
         uses: actions/setup-python@v5
         with:
-          python-version: '3.9'
+          python-version: '3.11'
           cache: 'pip' # caching pip dependencies
 
       - name: Setup and start KinD cluster
@@ -160,7 +160,7 @@ jobs:
       - name: Set up specific Python version
         uses: actions/setup-python@v5
         with:
-          python-version: '3.9'
+          python-version: '3.11'
           cache: 'pip' # caching pip dependencies
 
       - name: Setup NVidia GPU environment for KinD
@@ -282,7 +282,7 @@ jobs:
       - name: Set up specific Python version
         uses: actions/setup-python@v5
         with:
-          python-version: '3.9'
+          python-version: '3.11'
           cache: 'pip' # caching pip dependencies
 
       - name: Setup NVidia GPU environment for KinD
diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index ddc23b5a..50e3f9e1 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -17,7 +17,7 @@ on:
               default: 'project-codeflare'
             python_version:
               type: string
-              default: "3.8"
+              default: "3.11"
               required: true
             poetry_version:
               type: string
diff --git a/.github/workflows/ui_notebooks_test.yaml b/.github/workflows/ui_notebooks_test.yaml
index 28f7e06c..6d82c49e 100644
--- a/.github/workflows/ui_notebooks_test.yaml
+++ b/.github/workflows/ui_notebooks_test.yaml
@@ -49,7 +49,7 @@ jobs:
       - name: Set up specific Python version
         uses: actions/setup-python@v5
         with:
-          python-version: "3.9"
+          python-version: "3.11"
           cache: "pip" # caching pip dependencies
 
       - name: Setup and start KinD cluster
diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml
index 51934628..cbe3603d 100755
--- a/.github/workflows/unit-tests.yml
+++ b/.github/workflows/unit-tests.yml
@@ -10,16 +10,16 @@ jobs:
   unit-tests:
 
     runs-on: ubuntu-latest
-    container:
-      image: quay.io/project-codeflare/codeflare-sdk-precommit:v0.0.3
     steps:
       - uses: actions/checkout@v4
+
+      - name: Set up python
+        uses: actions/setup-python@v5
+        with:
+          python-version: '3.11'
       - name: Install poetry
         run: pip install poetry
-      - uses: actions/setup-python@v5
-        with:
-          python-version: '3.8'
-      - name: Install dependencies
+      - name: Install dependencies with poetry
         run: |
           poetry config virtualenvs.create false
           poetry lock --no-update

From 0c30442931e70b64e67754f0fd8c0da19977018b Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Thu, 19 Dec 2024 17:45:14 +0000
Subject: [PATCH 196/254] update unit tests to work on both Python 3.9 and 3.11

---
 src/codeflare_sdk/common/kueue/test_kueue.py  | 34 +++++++++++--------
 .../common/utils/unit_test_support.py         | 28 +++++++++++++++
 src/codeflare_sdk/ray/cluster/test_config.py  | 19 ++++++-----
 tests/test_cluster_yamls/kueue/aw_kueue.yaml  |  4 +--
 .../kueue/ray_cluster_kueue.yaml              |  4 +--
 .../ray/default-appwrapper.yaml               |  4 +--
 .../ray/default-ray-cluster.yaml              |  4 +--
 7 files changed, 67 insertions(+), 30 deletions(-)

diff --git a/src/codeflare_sdk/common/kueue/test_kueue.py b/src/codeflare_sdk/common/kueue/test_kueue.py
index 77095d4d..0093058c 100644
--- a/src/codeflare_sdk/common/kueue/test_kueue.py
+++ b/src/codeflare_sdk/common/kueue/test_kueue.py
@@ -11,7 +11,12 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from ..utils.unit_test_support import get_local_queue, createClusterConfig
+from ..utils.unit_test_support import (
+    apply_template,
+    get_local_queue,
+    createClusterConfig,
+    get_template_variables,
+)
 from unittest.mock import patch
 from codeflare_sdk.ray.cluster.cluster import Cluster, ClusterConfiguration
 import yaml
@@ -52,21 +57,21 @@ def test_cluster_creation_no_aw_local_queue(mocker):
     config.local_queue = "local-queue-default"
     cluster = Cluster(config)
     assert cluster.resource_yaml == f"{aw_dir}unit-test-cluster-kueue.yaml"
-    assert filecmp.cmp(
-        f"{aw_dir}unit-test-cluster-kueue.yaml",
+    expected_rc = apply_template(
         f"{parent}/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml",
-        shallow=True,
+        get_template_variables(),
     )
 
+    with open(f"{aw_dir}unit-test-cluster-kueue.yaml", "r") as f:
+        cluster_kueue = yaml.load(f, Loader=yaml.FullLoader)
+        assert cluster_kueue == expected_rc
+
     # With resources loaded in memory, no Local Queue specified.
     config = createClusterConfig()
     config.name = "unit-test-cluster-kueue"
     config.write_to_file = False
     cluster = Cluster(config)
-
-    with open(f"{parent}/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml") as f:
-        expected_rc = yaml.load(f, Loader=yaml.FullLoader)
-        assert cluster.resource_yaml == expected_rc
+    assert cluster.resource_yaml == expected_rc
 
 
 def test_aw_creation_local_queue(mocker):
@@ -86,12 +91,15 @@ def test_aw_creation_local_queue(mocker):
     config.local_queue = "local-queue-default"
     cluster = Cluster(config)
     assert cluster.resource_yaml == f"{aw_dir}unit-test-aw-kueue.yaml"
-    assert filecmp.cmp(
-        f"{aw_dir}unit-test-aw-kueue.yaml",
+    expected_rc = apply_template(
         f"{parent}/tests/test_cluster_yamls/kueue/aw_kueue.yaml",
-        shallow=True,
+        get_template_variables(),
     )
 
+    with open(f"{aw_dir}unit-test-aw-kueue.yaml", "r") as f:
+        aw_kueue = yaml.load(f, Loader=yaml.FullLoader)
+        assert aw_kueue == expected_rc
+
     # With resources loaded in memory, no Local Queue specified.
     config = createClusterConfig()
     config.name = "unit-test-aw-kueue"
@@ -99,9 +107,7 @@ def test_aw_creation_local_queue(mocker):
     config.write_to_file = False
     cluster = Cluster(config)
 
-    with open(f"{parent}/tests/test_cluster_yamls/kueue/aw_kueue.yaml") as f:
-        expected_rc = yaml.load(f, Loader=yaml.FullLoader)
-        assert cluster.resource_yaml == expected_rc
+    assert cluster.resource_yaml == expected_rc
 
 
 def test_get_local_queue_exists_fail(mocker):
diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 8e034378..4182fc93 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -12,6 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import string
+import sys
 from codeflare_sdk.ray.cluster.cluster import (
     Cluster,
     ClusterConfiguration,
@@ -255,6 +257,32 @@ def arg_check_del_effect(group, version, namespace, plural, name, *args):
         assert name == "ray-dashboard-unit-test-cluster-ray"
 
 
+def apply_template(yaml_file_path, variables):
+    with open(yaml_file_path, "r") as file:
+        yaml_content = file.read()
+
+    # Create a Template instance and substitute the variables
+    template = string.Template(yaml_content)
+    filled_yaml = template.substitute(variables)
+
+    # Now load the filled YAML into a Python object
+    return yaml.load(filled_yaml, Loader=yaml.FullLoader)
+
+
+def get_expected_image():
+    python_version = sys.version_info
+    if python_version.major == 3 and python_version.minor == 9:
+        return "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06"
+    else:
+        return "quay.io/modh/ray@sha256:db667df1bc437a7b0965e8031e905d3ab04b86390d764d120e05ea5a5c18d1b4"
+
+
+def get_template_variables():
+    return {
+        "image": get_expected_image(),
+    }
+
+
 def arg_check_apply_effect(group, version, namespace, plural, body, *args):
     assert namespace == "ns"
     assert args == tuple()
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index 3416fc28..b16cbaf2 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -13,15 +13,15 @@
 # limitations under the License.
 
 from codeflare_sdk.common.utils.unit_test_support import (
+    apply_template,
     createClusterWrongType,
-    get_local_queue,
     create_cluster_all_config_params,
+    get_template_variables,
 )
 from codeflare_sdk.ray.cluster.cluster import ClusterConfiguration, Cluster
 from pathlib import Path
 import filecmp
 import pytest
-import yaml
 import os
 
 parent = Path(__file__).resolve().parents[4]  # project directory
@@ -36,9 +36,11 @@ def test_default_cluster_creation(mocker):
 
     cluster = Cluster(ClusterConfiguration(name="default-cluster", namespace="ns"))
 
-    with open(f"{expected_clusters_dir}/ray/default-ray-cluster.yaml") as f:
-        expected_rc = yaml.load(f, Loader=yaml.FullLoader)
-        assert cluster.resource_yaml == expected_rc
+    expected_rc = apply_template(
+        f"{expected_clusters_dir}/ray/default-ray-cluster.yaml",
+        get_template_variables(),
+    )
+    assert cluster.resource_yaml == expected_rc
 
 
 def test_default_appwrapper_creation(mocker):
@@ -50,9 +52,10 @@ def test_default_appwrapper_creation(mocker):
         ClusterConfiguration(name="default-appwrapper", namespace="ns", appwrapper=True)
     )
 
-    with open(f"{expected_clusters_dir}/ray/default-appwrapper.yaml") as f:
-        expected_aw = yaml.load(f, Loader=yaml.FullLoader)
-        assert cluster.resource_yaml == expected_aw
+    expected_aw = apply_template(
+        f"{expected_clusters_dir}/ray/default-appwrapper.yaml", get_template_variables()
+    )
+    assert cluster.resource_yaml == expected_aw
 
 
 def test_config_creation_all_parameters(mocker):
diff --git a/tests/test_cluster_yamls/kueue/aw_kueue.yaml b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
index 402ffb6a..b5b5ae3f 100644
--- a/tests/test_cluster_yamls/kueue/aw_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
@@ -38,7 +38,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+              - image: "${image}"
                 imagePullPolicy: Always
                 lifecycle:
                   preStop:
@@ -103,7 +103,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+              - image: "${image}"
                 imagePullPolicy: Always
                 lifecycle:
                   preStop:
diff --git a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
index a5cb3616..ad179a0b 100644
--- a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
@@ -38,7 +38,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+              - image: "${image}"
                 imagePullPolicy: Always
                 lifecycle:
                   preStop:
@@ -103,7 +103,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+              - image: "${image}"
                 imagePullPolicy: Always
                 lifecycle:
                   preStop:
diff --git a/tests/test_cluster_yamls/ray/default-appwrapper.yaml b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
index 3e97474d..eadfeaa0 100644
--- a/tests/test_cluster_yamls/ray/default-appwrapper.yaml
+++ b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
@@ -36,7 +36,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+              - image: "${image}"
                 imagePullPolicy: Always
                 lifecycle:
                   preStop:
@@ -101,7 +101,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+              - image: "${image}"
                 imagePullPolicy: Always
                 lifecycle:
                   preStop:
diff --git a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
index 34de53d2..056479e6 100644
--- a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
+++ b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
@@ -28,7 +28,7 @@ spec:
     template:
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+        - image: "${image}"
           imagePullPolicy: Always
           lifecycle:
             preStop:
@@ -93,7 +93,7 @@ spec:
     template:
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+        - image: "${image}"
           imagePullPolicy: Always
           lifecycle:
             preStop:

From 36f578d006f45fd21d6c3fd5c536c49087be72f3 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Thu, 19 Dec 2024 19:21:02 +0000
Subject: [PATCH 197/254] update contributing guide and docs to recommend
 Python 3.11

---
 CONTRIBUTING.md               | 2 +-
 docs/sphinx/user-docs/e2e.rst | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 884632da..8a87bad4 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -6,7 +6,7 @@ Thank you for your interest in contributing to the CodeFlare SDK!
 
 ### Prerequisites
 
-- Python 3.9
+- Python 3.11
 - [Poetry](https://python-poetry.org/)
 
 ### Setting Up Your Development Environment
diff --git a/docs/sphinx/user-docs/e2e.rst b/docs/sphinx/user-docs/e2e.rst
index 846536f1..6f3d1462 100644
--- a/docs/sphinx/user-docs/e2e.rst
+++ b/docs/sphinx/user-docs/e2e.rst
@@ -4,7 +4,7 @@ Running e2e tests locally
 Pre-requisites
 ^^^^^^^^^^^^^^
 
--  We recommend using Python 3.9, along with Poetry.
+-  We recommend using Python 3.11, along with Poetry.
 
 On KinD clusters
 ----------------

From 7cb6631ffa77c5cdbb7a55eb6f3b0c309ae02aed Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" 
Date: Thu, 2 Jan 2025 11:21:43 +0000
Subject: [PATCH 198/254] Updated coverage.svg

---
 coverage.svg | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/coverage.svg b/coverage.svg
index 59d64b37..c1490035 100644
--- a/coverage.svg
+++ b/coverage.svg
@@ -15,7 +15,7 @@
     
         coverage
         coverage
-        93%
-        93%
+        90%
+        90%
     
 

From 1225d3888f1090acb17270d92fd8118cca4ab63a Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Thu, 2 Jan 2025 12:11:44 +0000
Subject: [PATCH 199/254] build(deps): bump jinja2 from 3.1.4 to 3.1.5

Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.4 to 3.1.5.
- [Release notes](https://github.com/pallets/jinja/releases)
- [Changelog](https://github.com/pallets/jinja/blob/main/CHANGES.rst)
- [Commits](https://github.com/pallets/jinja/compare/3.1.4...3.1.5)

---
updated-dependencies:
- dependency-name: jinja2
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] 
---
 poetry.lock | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 2c9b713e..88224764 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1457,13 +1457,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
-    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
+    {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
+    {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
 ]
 
 [package.dependencies]

From 28ef1380d75feede4e19030ebe6145c32908be7b Mon Sep 17 00:00:00 2001
From: Karel Suta 
Date: Thu, 2 Jan 2025 13:42:50 +0100
Subject: [PATCH 200/254] Rename GPU GitHub runner to avoid version confusion

---
 .github/workflows/guided_notebook_tests.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/guided_notebook_tests.yaml b/.github/workflows/guided_notebook_tests.yaml
index 71a82284..dc44a4bf 100644
--- a/.github/workflows/guided_notebook_tests.yaml
+++ b/.github/workflows/guided_notebook_tests.yaml
@@ -125,7 +125,7 @@ jobs:
 
   verify-1_cluster_job_client:
     if: ${{ contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks') }}
-    runs-on: ubuntu-20.04-4core-gpu
+    runs-on: gpu-t4-4-core
 
     steps:
       - name: Checkout code
@@ -247,7 +247,7 @@ jobs:
 
   verify-2_basic_interactive:
     if: ${{ contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks') }}
-    runs-on: ubuntu-20.04-4core-gpu
+    runs-on: gpu-t4-4-core
 
     steps:
       - name: Checkout code

From 6936c2ccfbd7e3fd1aa300e834c89307112101dc Mon Sep 17 00:00:00 2001
From: ChristianZaccaria 
Date: Thu, 2 Jan 2025 12:55:20 +0000
Subject: [PATCH 201/254] Run workflow on labeling a pull request

---
 .github/workflows/guided_notebook_tests.yaml | 1 +
 .github/workflows/ui_notebooks_test.yaml     | 1 +
 2 files changed, 2 insertions(+)

diff --git a/.github/workflows/guided_notebook_tests.yaml b/.github/workflows/guided_notebook_tests.yaml
index dc44a4bf..5c241615 100644
--- a/.github/workflows/guided_notebook_tests.yaml
+++ b/.github/workflows/guided_notebook_tests.yaml
@@ -3,6 +3,7 @@ name: Guided notebooks tests
 on:
   pull_request:
     branches: [ main ]
+    types: [ labeled ]
 
 concurrency:
   group: ${{ github.head_ref }}-${{ github.workflow }}
diff --git a/.github/workflows/ui_notebooks_test.yaml b/.github/workflows/ui_notebooks_test.yaml
index 6d82c49e..d18d0e61 100644
--- a/.github/workflows/ui_notebooks_test.yaml
+++ b/.github/workflows/ui_notebooks_test.yaml
@@ -3,6 +3,7 @@ name: UI notebooks tests
 on:
   pull_request:
     branches: [ main ]
+    types: [ labeled ]
 
 concurrency:
   group: ${{ github.head_ref }}-${{ github.workflow }}

From 77e79524930296e007e7e11e10114331046d6eff Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 19 Dec 2024 12:03:44 +0000
Subject: [PATCH 202/254] feat: add annotations parameter to cluster
 configuration

---
 src/codeflare_sdk/ray/cluster/build_ray_cluster.py | 7 +++----
 src/codeflare_sdk/ray/cluster/config.py            | 3 +++
 2 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index e590d483..11171338 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -191,7 +191,7 @@ def get_metadata(cluster: "codeflare_sdk.ray.cluster.Cluster"):
     )
 
     # Get the NB annotation if it exists - could be useful in future for a "annotations" parameter.
-    annotations = get_nb_annotations()
+    annotations = with_nb_annotations(cluster.config.annotations)
     if annotations != {}:
         object_meta.annotations = annotations  # As annotations are not a guarantee they are appended to the metadata after creation.
     return object_meta
@@ -213,11 +213,10 @@ def get_labels(cluster: "codeflare_sdk.ray.cluster.Cluster"):
     return labels
 
 
-def get_nb_annotations():
+def with_nb_annotations(annotations: dict):
     """
-    The get_nb_annotations() function generates the annotation for NB Prefix if the SDK is running in a notebook
+    The with_nb_annotations() function generates the annotation for NB Prefix if the SDK is running in a notebook and appends any user set annotations
     """
-    annotations = {}
 
     # Notebook annotation
     nb_prefix = os.environ.get("NB_PREFIX")
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index b8b097f8..e3069029 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -89,6 +89,8 @@ class ClusterConfiguration:
             A dictionary of custom resource mappings to map extended resource requests to RayCluster resource names
         overwrite_default_resource_mapping:
             A boolean indicating whether to overwrite the default resource mapping.
+        annotations:
+            A dictionary of annotations to apply to the cluster.
     """
 
     name: str
@@ -126,6 +128,7 @@ class ClusterConfiguration:
     extended_resource_mapping: Dict[str, str] = field(default_factory=dict)
     overwrite_default_resource_mapping: bool = False
     local_queue: Optional[str] = None
+    annotations: Dict[str, str] = field(default_factory=dict)
 
     def __post_init__(self):
         if not self.verify_tls:

From 2fc94881c9970362bd3b12d968fac31ec5902729 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 19 Dec 2024 12:05:16 +0000
Subject: [PATCH 203/254] test: add unit test for annotations parameter

---
 src/codeflare_sdk/common/utils/unit_test_support.py          | 1 +
 src/codeflare_sdk/ray/cluster/test_config.py                 | 5 +++++
 .../test_cluster_yamls/appwrapper/unit-test-all-params.yaml  | 2 ++
 tests/test_cluster_yamls/ray/unit-test-all-params.yaml       | 2 ++
 4 files changed, 10 insertions(+)

diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 4182fc93..388b6b4e 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -442,5 +442,6 @@ def create_cluster_all_config_params(mocker, cluster_name, is_appwrapper) -> Clu
         extended_resource_mapping={"example.com/gpu": "GPU", "intel.com/gpu": "TPU"},
         overwrite_default_resource_mapping=True,
         local_queue="local-queue-default",
+        annotations={"key1": "value1", "key2": "value2"},
     )
     return Cluster(config)
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index b16cbaf2..aafb23dd 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -93,6 +93,11 @@ def test_config_creation_all_parameters(mocker):
     )
     assert cluster.config.overwrite_default_resource_mapping == True
     assert cluster.config.local_queue == "local-queue-default"
+    assert cluster.config.annotations == {
+        "app.kubernetes.io/managed-by": "test-prefix",
+        "key1": "value1",
+        "key2": "value2",
+    }
 
     assert filecmp.cmp(
         f"{aw_dir}test-all-params.yaml",
diff --git a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
index 6d2c5440..36d186d1 100644
--- a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
@@ -13,6 +13,8 @@ spec:
       metadata:
         annotations:
           app.kubernetes.io/managed-by: test-prefix
+          key1: value1
+          key2: value2
         labels:
           controller-tools.k8s.io: '1.0'
           key1: value1
diff --git a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
index 8426eede..a6514bd8 100644
--- a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
@@ -3,6 +3,8 @@ kind: RayCluster
 metadata:
   annotations:
     app.kubernetes.io/managed-by: test-prefix
+    key1: value1
+    key2: value2
   labels:
     controller-tools.k8s.io: '1.0'
     key1: value1

From 22a24d8769421c1130740289a3998a880ce1f48b Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 19 Dec 2024 12:07:26 +0000
Subject: [PATCH 204/254] docs: update user docs with annotations parameter
 example

---
 docs/sphinx/user-docs/cluster-configuration.rst | 1 +
 1 file changed, 1 insertion(+)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index dc3f2cf4..411760f8 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -26,6 +26,7 @@ requirements for creating the Ray Cluster.
        worker_memory_limits=2, # Default 2
        # image="", # Optional Field
        labels={"exampleLabel": "example", "secondLabel": "example"},
+       annotations={"key1":"value1", "key2":"value2"},
    ))
 
 .. note::

From 7fef14b83469fd9e65070aca705b29b094543e53 Mon Sep 17 00:00:00 2001
From: Karel Suta 
Date: Fri, 3 Jan 2025 12:12:33 +0100
Subject: [PATCH 205/254] Migrate GitHub runners to newest Ubuntu

---
 .github/workflows/additional_demo_notebook_tests.yaml | 4 ++--
 .github/workflows/guided_notebook_tests.yaml          | 2 +-
 .github/workflows/odh-notebooks-sync.yml              | 2 +-
 .github/workflows/ui_notebooks_test.yaml              | 2 +-
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/.github/workflows/additional_demo_notebook_tests.yaml b/.github/workflows/additional_demo_notebook_tests.yaml
index a081f9ee..096cb509 100644
--- a/.github/workflows/additional_demo_notebook_tests.yaml
+++ b/.github/workflows/additional_demo_notebook_tests.yaml
@@ -15,7 +15,7 @@ env:
 jobs:
   verify-local_interactive:
     if: ${{ github.event.label.name == 'test-additional-notebooks' }}
-    runs-on: ubuntu-20.04-4core
+    runs-on: ubuntu-latest-4core
 
     steps:
       - name: Checkout code
@@ -133,7 +133,7 @@ jobs:
 
   verify-ray_job_client:
     if: ${{ github.event.label.name == 'test-additional-notebooks' }}
-    runs-on: ubuntu-20.04-4core
+    runs-on: ubuntu-latest-4core
 
     steps:
       - name: Checkout code
diff --git a/.github/workflows/guided_notebook_tests.yaml b/.github/workflows/guided_notebook_tests.yaml
index 5c241615..3309c6a1 100644
--- a/.github/workflows/guided_notebook_tests.yaml
+++ b/.github/workflows/guided_notebook_tests.yaml
@@ -15,7 +15,7 @@ env:
 jobs:
   verify-0_basic_ray:
     if: ${{ contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks') }}
-    runs-on: ubuntu-20.04-4core
+    runs-on: ubuntu-latest-4core
 
     steps:
       - name: Checkout code
diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml
index f0853bff..c2ae6d3a 100644
--- a/.github/workflows/odh-notebooks-sync.yml
+++ b/.github/workflows/odh-notebooks-sync.yml
@@ -37,7 +37,7 @@ env:
 
 jobs:
   build:
-    runs-on: ubuntu-22.04-8core
+    runs-on: ubuntu-latest-8core
     steps:
       - name: Clone repository and Sync
         run: |
diff --git a/.github/workflows/ui_notebooks_test.yaml b/.github/workflows/ui_notebooks_test.yaml
index d18d0e61..1b5ad524 100644
--- a/.github/workflows/ui_notebooks_test.yaml
+++ b/.github/workflows/ui_notebooks_test.yaml
@@ -15,7 +15,7 @@ env:
 jobs:
   verify-3_widget_example:
     if: ${{ contains(github.event.pull_request.labels.*.name, 'test-guided-notebooks') || contains(github.event.pull_request.labels.*.name, 'test-ui-notebooks') }}
-    runs-on: ubuntu-20.04-4core
+    runs-on: ubuntu-latest-4core
 
     steps:
       - name: Checkout code

From 6b0a3ccee5acdaf2541ea8f034c58dbcab559a70 Mon Sep 17 00:00:00 2001
From: Ignas Baranauskas 
Date: Mon, 6 Jan 2025 10:05:49 +0000
Subject: [PATCH 206/254] fix: remove --no-update as it is the default in
 poetry 2.0

---
 .github/workflows/coverage-badge.yaml | 2 +-
 .github/workflows/unit-tests.yml      | 2 +-
 tests/e2e/install-codeflare-sdk.sh    | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/coverage-badge.yaml b/.github/workflows/coverage-badge.yaml
index e2fdddae..0d2d41f6 100644
--- a/.github/workflows/coverage-badge.yaml
+++ b/.github/workflows/coverage-badge.yaml
@@ -22,7 +22,7 @@ jobs:
         python -m pip install --upgrade pip
         pip install poetry
         poetry config virtualenvs.create false
-        poetry lock --no-update
+        poetry lock
         poetry install --with test
     - name: Generate coverage report
       run: |
diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml
index cbe3603d..6697fc80 100755
--- a/.github/workflows/unit-tests.yml
+++ b/.github/workflows/unit-tests.yml
@@ -22,7 +22,7 @@ jobs:
       - name: Install dependencies with poetry
         run: |
           poetry config virtualenvs.create false
-          poetry lock --no-update
+          poetry lock
           poetry install --with test
       - name: Test with pytest and check coverage
         run: |
diff --git a/tests/e2e/install-codeflare-sdk.sh b/tests/e2e/install-codeflare-sdk.sh
index e7808582..8ec5e1e6 100644
--- a/tests/e2e/install-codeflare-sdk.sh
+++ b/tests/e2e/install-codeflare-sdk.sh
@@ -9,7 +9,7 @@ poetry config virtualenvs.create false
 cd codeflare-sdk
 
 # Lock dependencies and install them
-poetry lock --no-update
+poetry lock
 poetry install --with test,docs
 
 # Return to the workdir

From ca834c7f7dcf61d4a6acb495a1aea20128b2d5bd Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 21 Nov 2024 14:17:07 +0000
Subject: [PATCH 207/254] feat: add custom volumes/volume mounts for ray
 clusters

---
 .../ray/cluster/build_ray_cluster.py          | 26 ++++++++++++++++---
 src/codeflare_sdk/ray/cluster/config.py       |  7 +++++
 2 files changed, 30 insertions(+), 3 deletions(-)

diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index 11171338..a08f3f73 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -249,7 +249,7 @@ def get_pod_spec(cluster: "codeflare_sdk.ray.cluster.Cluster", containers):
     """
     pod_spec = V1PodSpec(
         containers=containers,
-        volumes=VOLUMES,
+        volumes=generate_custom_storage(cluster.config.volumes, VOLUMES),
     )
     if cluster.config.image_pull_secrets != []:
         pod_spec.image_pull_secrets = generate_image_pull_secrets(cluster)
@@ -295,7 +295,9 @@ def get_head_container_spec(
             cluster.config.head_memory_limits,
             cluster.config.head_extended_resource_requests,
         ),
-        volume_mounts=VOLUME_MOUNTS,
+        volume_mounts=generate_custom_storage(
+            cluster.config.volume_mounts, VOLUME_MOUNTS
+        ),
     )
     if cluster.config.envs != {}:
         head_container.env = generate_env_vars(cluster)
@@ -337,7 +339,9 @@ def get_worker_container_spec(
             cluster.config.worker_memory_limits,
             cluster.config.worker_extended_resource_requests,
         ),
-        volume_mounts=VOLUME_MOUNTS,
+        volume_mounts=generate_custom_storage(
+            cluster.config.volume_mounts, VOLUME_MOUNTS
+        ),
     )
 
     if cluster.config.envs != {}:
@@ -521,6 +525,22 @@ def wrap_cluster(
 
 
 # Etc.
+def generate_custom_storage(provided_storage: list, default_storage: list):
+    """
+    The generate_custom_storage function updates the volumes/volume mounts configs with the default volumes/volume mounts.
+    """
+    storage_list = provided_storage.copy()
+
+    if storage_list == []:
+        storage_list = default_storage
+    else:
+        # We append the list of volumes/volume mounts with the defaults and return the full list
+        for storage in default_storage:
+            storage_list.append(storage)
+
+    return storage_list
+
+
 def write_to_file(cluster: "codeflare_sdk.ray.cluster.Cluster", resource: dict):
     """
     The write_to_file function writes the built Ray Cluster/AppWrapper dict as a yaml file in the .codeflare folder
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index e3069029..7a78e730 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -22,6 +22,7 @@
 import warnings
 from dataclasses import dataclass, field, fields
 from typing import Dict, List, Optional, Union, get_args, get_origin
+from kubernetes.client import V1Volume, V1VolumeMount
 
 dir = pathlib.Path(__file__).parent.parent.resolve()
 
@@ -91,6 +92,10 @@ class ClusterConfiguration:
             A boolean indicating whether to overwrite the default resource mapping.
         annotations:
             A dictionary of annotations to apply to the cluster.
+        volumes:
+            A list of V1Volume objects to add to the Cluster
+        volume_mounts:
+            A list of V1VolumeMount objects to add to the Cluster
     """
 
     name: str
@@ -129,6 +134,8 @@ class ClusterConfiguration:
     overwrite_default_resource_mapping: bool = False
     local_queue: Optional[str] = None
     annotations: Dict[str, str] = field(default_factory=dict)
+    volumes: list[V1Volume] = field(default_factory=list)
+    volume_mounts: list[V1VolumeMount] = field(default_factory=list)
 
     def __post_init__(self):
         if not self.verify_tls:

From 7e5f896681611335c4e791d83474c4e8696ffca6 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 21 Nov 2024 14:50:03 +0000
Subject: [PATCH 208/254] test: add volumes/volume mounts tests

---
 .../common/utils/unit_test_support.py         | 42 +++++++++++++++++++
 src/codeflare_sdk/ray/cluster/test_config.py  |  4 ++
 .../appwrapper/unit-test-all-params.yaml      | 36 ++++++++++++++++
 .../ray/unit-test-all-params.yaml             | 36 ++++++++++++++++
 4 files changed, 118 insertions(+)

diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 388b6b4e..82f301a2 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -417,6 +417,7 @@ def create_cluster_all_config_params(mocker, cluster_name, is_appwrapper) -> Clu
         "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
         return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
     )
+    volumes, volume_mounts = get_example_extended_storage_opts()
 
     config = ClusterConfiguration(
         name=cluster_name,
@@ -443,5 +444,46 @@ def create_cluster_all_config_params(mocker, cluster_name, is_appwrapper) -> Clu
         overwrite_default_resource_mapping=True,
         local_queue="local-queue-default",
         annotations={"key1": "value1", "key2": "value2"},
+        volumes=volumes,
+        volume_mounts=volume_mounts,
     )
     return Cluster(config)
+
+
+def get_example_extended_storage_opts():
+    from kubernetes.client import (
+        V1Volume,
+        V1VolumeMount,
+        V1EmptyDirVolumeSource,
+        V1ConfigMapVolumeSource,
+        V1KeyToPath,
+        V1SecretVolumeSource,
+    )
+
+    volume_mounts = [
+        V1VolumeMount(mount_path="/home/ray/test1", name="test"),
+        V1VolumeMount(
+            mount_path="/home/ray/test2",
+            name="test2",
+        ),
+        V1VolumeMount(
+            mount_path="/home/ray/test2",
+            name="test3",
+        ),
+    ]
+
+    volumes = [
+        V1Volume(
+            name="test",
+            empty_dir=V1EmptyDirVolumeSource(size_limit="500Gi"),
+        ),
+        V1Volume(
+            name="test2",
+            config_map=V1ConfigMapVolumeSource(
+                name="config-map-test",
+                items=[V1KeyToPath(key="test", path="/home/ray/test2/data.txt")],
+            ),
+        ),
+        V1Volume(name="test3", secret=V1SecretVolumeSource(secret_name="test-secret")),
+    ]
+    return volumes, volume_mounts
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index aafb23dd..5302e0eb 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -15,6 +15,7 @@
 from codeflare_sdk.common.utils.unit_test_support import (
     apply_template,
     createClusterWrongType,
+    get_example_extended_storage_opts,
     create_cluster_all_config_params,
     get_template_variables,
 )
@@ -64,6 +65,7 @@ def test_config_creation_all_parameters(mocker):
     expected_extended_resource_mapping = DEFAULT_RESOURCE_MAPPING
     expected_extended_resource_mapping.update({"example.com/gpu": "GPU"})
     expected_extended_resource_mapping["intel.com/gpu"] = "TPU"
+    volumes, volume_mounts = get_example_extended_storage_opts()
 
     cluster = create_cluster_all_config_params(mocker, "test-all-params", False)
     assert cluster.config.name == "test-all-params" and cluster.config.namespace == "ns"
@@ -98,6 +100,8 @@ def test_config_creation_all_parameters(mocker):
         "key1": "value1",
         "key2": "value2",
     }
+    assert cluster.config.volumes == volumes
+    assert cluster.config.volume_mounts == volume_mounts
 
     assert filecmp.cmp(
         f"{aw_dir}test-all-params.yaml",
diff --git a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
index 36d186d1..e0ecc75d 100644
--- a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
@@ -78,6 +78,12 @@ spec:
                     memory: 12G
                     nvidia.com/gpu: 1
                 volumeMounts:
+                - mountPath: /home/ray/test1
+                  name: test
+                - mountPath: /home/ray/test2
+                  name: test2
+                - mountPath: /home/ray/test2
+                  name: test3
                 - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
                   name: odh-trusted-ca-cert
                   subPath: odh-trusted-ca-bundle.crt
@@ -94,6 +100,18 @@ spec:
               - name: secret1
               - name: secret2
               volumes:
+              - emptyDir:
+                  sizeLimit: 500Gi
+                name: test
+              - configMap:
+                  items:
+                  - key: test
+                    path: /home/ray/test2/data.txt
+                  name: config-map-test
+                name: test2
+              - name: test3
+                secret:
+                  secretName: test-secret
               - configMap:
                   items:
                   - key: ca-bundle.crt
@@ -146,6 +164,12 @@ spec:
                     memory: 12G
                     nvidia.com/gpu: 1
                 volumeMounts:
+                - mountPath: /home/ray/test1
+                  name: test
+                - mountPath: /home/ray/test2
+                  name: test2
+                - mountPath: /home/ray/test2
+                  name: test3
                 - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
                   name: odh-trusted-ca-cert
                   subPath: odh-trusted-ca-bundle.crt
@@ -162,6 +186,18 @@ spec:
               - name: secret1
               - name: secret2
               volumes:
+              - emptyDir:
+                  sizeLimit: 500Gi
+                name: test
+              - configMap:
+                  items:
+                  - key: test
+                    path: /home/ray/test2/data.txt
+                  name: config-map-test
+                name: test2
+              - name: test3
+                secret:
+                  secretName: test-secret
               - configMap:
                   items:
                   - key: ca-bundle.crt
diff --git a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
index a6514bd8..e743e9fe 100644
--- a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
@@ -69,6 +69,12 @@ spec:
               memory: 12G
               nvidia.com/gpu: 1
           volumeMounts:
+          - mountPath: /home/ray/test1
+            name: test
+          - mountPath: /home/ray/test2
+            name: test2
+          - mountPath: /home/ray/test2
+            name: test3
           - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
             name: odh-trusted-ca-cert
             subPath: odh-trusted-ca-bundle.crt
@@ -85,6 +91,18 @@ spec:
         - name: secret1
         - name: secret2
         volumes:
+        - emptyDir:
+            sizeLimit: 500Gi
+          name: test
+        - configMap:
+            items:
+            - key: test
+              path: /home/ray/test2/data.txt
+            name: config-map-test
+          name: test2
+        - name: test3
+          secret:
+            secretName: test-secret
         - configMap:
             items:
             - key: ca-bundle.crt
@@ -137,6 +155,12 @@ spec:
               memory: 12G
               nvidia.com/gpu: 1
           volumeMounts:
+          - mountPath: /home/ray/test1
+            name: test
+          - mountPath: /home/ray/test2
+            name: test2
+          - mountPath: /home/ray/test2
+            name: test3
           - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
             name: odh-trusted-ca-cert
             subPath: odh-trusted-ca-bundle.crt
@@ -153,6 +177,18 @@ spec:
         - name: secret1
         - name: secret2
         volumes:
+        - emptyDir:
+            sizeLimit: 500Gi
+          name: test
+        - configMap:
+            items:
+            - key: test
+              path: /home/ray/test2/data.txt
+            name: config-map-test
+          name: test2
+        - name: test3
+          secret:
+            secretName: test-secret
         - configMap:
             items:
             - key: ca-bundle.crt

From 051ee3c470e95d87c88829b81166409a410ece09 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 21 Nov 2024 15:20:54 +0000
Subject: [PATCH 209/254] docs: add user docs for custom volumes/volume mounts

---
 .../user-docs/cluster-configuration.rst       | 49 +++++++++++++++++++
 1 file changed, 49 insertions(+)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index 411760f8..9f9fdddb 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -27,6 +27,8 @@ requirements for creating the Ray Cluster.
        # image="", # Optional Field
        labels={"exampleLabel": "example", "secondLabel": "example"},
        annotations={"key1":"value1", "key2":"value2"},
+       volumes=[], # See Custom Volumes/Volume Mounts
+       volume_mounts=[], # See Custom Volumes/Volume Mounts
    ))
 
 .. note::
@@ -49,6 +51,53 @@ apply additional labels to the RayCluster resource.
 After creating their ``cluster``, a user can call ``cluster.up()`` and
 ``cluster.down()`` to respectively create or remove the Ray Cluster.
 
+Custom Volumes/Volume Mounts
+----------------------------
+| To add custom Volumes and Volume Mounts to your Ray Cluster you need to create two lists ``volumes`` and ``volume_mounts``. The lists consist of ``V1Volume`` and ``V1VolumeMount`` objects respectively.
+| Populating these parameters will create Volumes and Volume Mounts for the head and each worker pod.
+
+.. code:: python
+
+  from kubernetes.client import V1Volume, V1VolumeMount, V1EmptyDirVolumeSource, V1ConfigMapVolumeSource, V1KeyToPath, V1SecretVolumeSource
+  # In this example we are using the Config Map, EmptyDir and Secret Volume types
+  volume_mounts_list = [
+      V1VolumeMount(
+          mount_path="/home/ray/test1",
+          name = "test"
+      ),
+      V1VolumeMount(
+          mount_path = "/home/ray/test2",
+          name = "test2",
+      ),
+      V1VolumeMount(
+          mount_path = "/home/ray/test3",
+          name = "test3",
+      )
+  ]
+
+  volumes_list = [
+      V1Volume(
+          name="test",
+          empty_dir=V1EmptyDirVolumeSource(size_limit="2Gi"),
+      ),
+      V1Volume(
+          name="test2",
+          config_map=V1ConfigMapVolumeSource(
+              name="test-config-map",
+              items=[V1KeyToPath(key="test", path="data.txt")]
+          )
+      ),
+      V1Volume(
+          name="test3",
+          secret=V1SecretVolumeSource(
+              secret_name="test-secret"
+          )
+      )
+  ]
+
+| For more information on creating Volumes and Volume Mounts with Python check out the Python Kubernetes docs (`Volumes `__, `Volume Mounts `__).
+| You can also find further information on Volumes and Volume Mounts by visiting the Kubernetes `documentation `__.
+
 Deprecating Parameters
 ----------------------
 

From d89ee5a5320056c131da258e3c61d6de71bb9549 Mon Sep 17 00:00:00 2001
From: Jiri Petrlik 
Date: Mon, 6 Jan 2025 14:13:45 +0100
Subject: [PATCH 210/254] RHOAIENG-8098 - ClusterConfiguration should support
 tolerations

---
 .../common/utils/unit_test_support.py         | 11 +++++++++
 .../ray/cluster/build_ray_cluster.py          | 24 +++++++++++++++----
 src/codeflare_sdk/ray/cluster/config.py       | 13 ++++++++--
 .../appwrapper/unit-test-all-params.yaml      | 10 ++++++++
 .../ray/unit-test-all-params.yaml             | 10 ++++++++
 5 files changed, 62 insertions(+), 6 deletions(-)

diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 82f301a2..373283b8 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -22,6 +22,7 @@
 import yaml
 from pathlib import Path
 from kubernetes import client
+from kubernetes.client import V1Toleration
 from unittest.mock import patch
 
 parent = Path(__file__).resolve().parents[4]  # project directory
@@ -427,8 +428,18 @@ def create_cluster_all_config_params(mocker, cluster_name, is_appwrapper) -> Clu
         head_memory_requests=12,
         head_memory_limits=16,
         head_extended_resource_requests={"nvidia.com/gpu": 1, "intel.com/gpu": 2},
+        head_tolerations=[
+            V1Toleration(
+                key="key1", operator="Equal", value="value1", effect="NoSchedule"
+            )
+        ],
         worker_cpu_requests=4,
         worker_cpu_limits=8,
+        worker_tolerations=[
+            V1Toleration(
+                key="key2", operator="Equal", value="value2", effect="NoSchedule"
+            )
+        ],
         num_workers=10,
         worker_memory_requests=12,
         worker_memory_limits=16,
diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index a08f3f73..215ac32e 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -16,7 +16,7 @@
     This sub-module exists primarily to be used internally by the Cluster object
     (in the cluster sub-module) for RayCluster/AppWrapper generation.
 """
-from typing import Union, Tuple, Dict
+from typing import List, Union, Tuple, Dict
 from ...common import _kube_api_error_handling
 from ...common.kubernetes_cluster import get_api_client, config_check
 from kubernetes.client.exceptions import ApiException
@@ -40,6 +40,7 @@
     V1PodTemplateSpec,
     V1PodSpec,
     V1LocalObjectReference,
+    V1Toleration,
 )
 
 import yaml
@@ -139,7 +140,11 @@ def build_ray_cluster(cluster: "codeflare_sdk.ray.cluster.Cluster"):
                     "resources": head_resources,
                 },
                 "template": {
-                    "spec": get_pod_spec(cluster, [get_head_container_spec(cluster)])
+                    "spec": get_pod_spec(
+                        cluster,
+                        [get_head_container_spec(cluster)],
+                        cluster.config.head_tolerations,
+                    )
                 },
             },
             "workerGroupSpecs": [
@@ -154,7 +159,11 @@ def build_ray_cluster(cluster: "codeflare_sdk.ray.cluster.Cluster"):
                         "resources": worker_resources,
                     },
                     "template": V1PodTemplateSpec(
-                        spec=get_pod_spec(cluster, [get_worker_container_spec(cluster)])
+                        spec=get_pod_spec(
+                            cluster,
+                            [get_worker_container_spec(cluster)],
+                            cluster.config.worker_tolerations,
+                        )
                     ),
                 }
             ],
@@ -243,14 +252,21 @@ def update_image(image) -> str:
     return image
 
 
-def get_pod_spec(cluster: "codeflare_sdk.ray.cluster.Cluster", containers):
+def get_pod_spec(
+    cluster: "codeflare_sdk.ray.cluster.Cluster",
+    containers: List,
+    tolerations: List[V1Toleration],
+) -> V1PodSpec:
     """
     The get_pod_spec() function generates a V1PodSpec for the head/worker containers
     """
+
     pod_spec = V1PodSpec(
         containers=containers,
         volumes=generate_custom_storage(cluster.config.volumes, VOLUMES),
+        tolerations=tolerations or None,
     )
+
     if cluster.config.image_pull_secrets != []:
         pod_spec.image_pull_secrets = generate_image_pull_secrets(cluster)
 
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index 7a78e730..ab64be83 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -22,7 +22,7 @@
 import warnings
 from dataclasses import dataclass, field, fields
 from typing import Dict, List, Optional, Union, get_args, get_origin
-from kubernetes.client import V1Volume, V1VolumeMount
+from kubernetes.client import V1Toleration, V1Volume, V1VolumeMount
 
 dir = pathlib.Path(__file__).parent.parent.resolve()
 
@@ -58,6 +58,8 @@ class ClusterConfiguration:
             The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests)
         head_extended_resource_requests:
             A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1}
+        head_tolerations:
+            List of tolerations for head nodes.
         min_cpus:
             The minimum number of CPUs to allocate to each worker.
         max_cpus:
@@ -70,6 +72,8 @@ class ClusterConfiguration:
             The maximum amount of memory to allocate to each worker.
         num_gpus:
             The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests)
+        worker_tolerations:
+            List of tolerations for worker nodes.
         appwrapper:
             A boolean indicating whether to use an AppWrapper.
         envs:
@@ -110,6 +114,7 @@ class ClusterConfiguration:
     head_extended_resource_requests: Dict[str, Union[str, int]] = field(
         default_factory=dict
     )
+    head_tolerations: Optional[List[V1Toleration]] = None
     worker_cpu_requests: Union[int, str] = 1
     worker_cpu_limits: Union[int, str] = 1
     min_cpus: Optional[Union[int, str]] = None  # Deprecating
@@ -120,6 +125,7 @@ class ClusterConfiguration:
     min_memory: Optional[Union[int, str]] = None  # Deprecating
     max_memory: Optional[Union[int, str]] = None  # Deprecating
     num_gpus: Optional[int] = None  # Deprecating
+    worker_tolerations: Optional[List[V1Toleration]] = None
     appwrapper: bool = False
     envs: Dict[str, str] = field(default_factory=dict)
     image: str = ""
@@ -272,7 +278,10 @@ def check_type(value, expected_type):
             if origin_type is Union:
                 return any(check_type(value, union_type) for union_type in args)
             if origin_type is list:
-                return all(check_type(elem, args[0]) for elem in value)
+                if value is not None:
+                    return all(check_type(elem, args[0]) for elem in (value or []))
+                else:
+                    return True
             if origin_type is dict:
                 return all(
                     check_type(k, args[0]) and check_type(v, args[1])
diff --git a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
index e0ecc75d..0977d659 100644
--- a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
@@ -99,6 +99,11 @@ spec:
               imagePullSecrets:
               - name: secret1
               - name: secret2
+              tolerations:
+              - effect: NoSchedule
+                key: key1
+                operator: Equal
+                value: value1
               volumes:
               - emptyDir:
                   sizeLimit: 500Gi
@@ -185,6 +190,11 @@ spec:
               imagePullSecrets:
               - name: secret1
               - name: secret2
+              tolerations:
+              - effect: NoSchedule
+                key: key2
+                operator: Equal
+                value: value2
               volumes:
               - emptyDir:
                   sizeLimit: 500Gi
diff --git a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
index e743e9fe..188319ab 100644
--- a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
@@ -90,6 +90,11 @@ spec:
         imagePullSecrets:
         - name: secret1
         - name: secret2
+        tolerations:
+        - effect: NoSchedule
+          key: key1
+          operator: Equal
+          value: value1
         volumes:
         - emptyDir:
             sizeLimit: 500Gi
@@ -176,6 +181,11 @@ spec:
         imagePullSecrets:
         - name: secret1
         - name: secret2
+        tolerations:
+        - effect: NoSchedule
+          key: key2
+          operator: Equal
+          value: value2
         volumes:
         - emptyDir:
             sizeLimit: 500Gi

From 000d9c370fa7bc5c44681a91371de1c2d8fee637 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Fri, 10 Jan 2025 10:17:57 +0000
Subject: [PATCH 211/254] ci: remove intel from image updates in odh sync
 workflow

---
 .github/workflows/odh-notebooks-sync.yml | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml
index c2ae6d3a..0f83eee5 100644
--- a/.github/workflows/odh-notebooks-sync.yml
+++ b/.github/workflows/odh-notebooks-sync.yml
@@ -56,10 +56,8 @@ jobs:
           python-version: ${{ env.PYTHON_VERSION }}
           cache: 'pipenv'
 
-      # Sync fails with pipenv 2024.1.0 (current latest version)
-      # TODO: We should retry with later versions of pipenv once they are available.
       - name: Install pipenv and pip-versions
-        run: pip install pipenv==2024.0.3 pip-versions
+        run: pip install pipenv==2024.4.0 pip-versions
 
       - name: Update Pipfiles in accordance with Codeflare-SDK latest release
         run: |
@@ -74,7 +72,7 @@ jobs:
             # replace existing version of cf-sdk with new version in Pipfile
             sed -i "s/codeflare-sdk = .*$/codeflare-sdk = \"~=$CODEFLARE_RELEASE_VERSION\"/g" Pipfile
             # Lock dependencies, ensuring pre-release are included and clear previous state
-            if ! pipenv lock --pre --clear ; then
+            if ! pipenv lock --verbose --pre --clear ; then
               echo "Failed to lock dependencies"
               exit 1
             fi
@@ -98,7 +96,8 @@ jobs:
             echo "Version ${CODEFLARE_RELEASE_VERSION} is available for $package_name"
             # list all Pipfile paths having Codeflare-SDK listed
             # Extracting only directories from file paths, excluding a `.gitworkflow` and `.git` directory
-            directories+=($(grep --exclude-dir=.git --exclude-dir=.github --include="Pipfile*" -rl "${package_name} = \"~=.*\"" | xargs dirname | sort | uniq))
+            # Extracting Intel directories as they are not supported in RHOAI
+            directories+=($(grep --exclude-dir=.git --exclude-dir=.github --exclude-dir=intel --exclude-dir=jupyter/intel --include="Pipfile*" -rl "${package_name} = \"~=.*\"" | xargs dirname | sort | uniq))
             counter=0
             total=${#directories[@]}
             for dir in "${directories[@]}"; do

From b5c13dc205654ef86bcb9538275e976e33e46f92 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Fri, 10 Jan 2025 13:16:47 +0000
Subject: [PATCH 212/254] ci: remove tensorflow from image updates in odh sync
 workflow

---
 .github/workflows/odh-notebooks-sync.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml
index 0f83eee5..0b55890b 100644
--- a/.github/workflows/odh-notebooks-sync.yml
+++ b/.github/workflows/odh-notebooks-sync.yml
@@ -97,7 +97,8 @@ jobs:
             # list all Pipfile paths having Codeflare-SDK listed
             # Extracting only directories from file paths, excluding a `.gitworkflow` and `.git` directory
             # Extracting Intel directories as they are not supported in RHOAI
-            directories+=($(grep --exclude-dir=.git --exclude-dir=.github --exclude-dir=intel --exclude-dir=jupyter/intel --include="Pipfile*" -rl "${package_name} = \"~=.*\"" | xargs dirname | sort | uniq))
+            # Removing tensorflow image TEMPORARILY until solution has been made for the tf2onnx package dependency resolution
+            directories+=($(grep --exclude-dir=.git --exclude-dir=.github --exclude-dir=intel --exclude-dir=tensorflow --exclude-dir=rocm-tensorflow --include="Pipfile*" -rl "${package_name} = \"~=.*\"" | xargs dirname | sort | uniq))
             counter=0
             total=${#directories[@]}
             for dir in "${directories[@]}"; do

From 372345e5687517c5a0ee4f1c750d86b77091fcc7 Mon Sep 17 00:00:00 2001
From: Akram Ben Aissi 
Date: Tue, 28 Jan 2025 18:14:42 +0100
Subject: [PATCH 213/254] Adds RayCluster.apply() (#778)

- Adds  RayCluster.apply() implementation
- Adds e2e tests for apply
- Adds unit tests for apply
---
 CONTRIBUTING.md                               |   2 +-
 .../user-docs/ray-cluster-interaction.rst     |   6 +
 src/codeflare_sdk/common/kueue/test_kueue.py  | 133 +++++++++-
 .../common/utils/unit_test_support.py         |  66 ++++-
 .../common/widgets/test_widgets.py            |   4 +-
 src/codeflare_sdk/ray/cluster/cluster.py      |  97 ++++++-
 src/codeflare_sdk/ray/cluster/test_cluster.py | 238 +++++++++++++++++-
 src/codeflare_sdk/ray/cluster/test_config.py  |   7 +-
 tests/e2e/cluster_apply_kind_test.py          | 156 ++++++++++++
 tests/e2e/support.py                          |  16 ++
 10 files changed, 687 insertions(+), 38 deletions(-)
 create mode 100644 tests/e2e/cluster_apply_kind_test.py

diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 8a87bad4..1d6371db 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -76,7 +76,7 @@ pytest -v src/codeflare_sdk
 
 ### Local e2e Testing
 
-- Please follow the [e2e documentation](https://github.com/project-codeflare/codeflare-sdk/blob/main/docs/e2e.md)
+- Please follow the [e2e documentation](https://github.com/project-codeflare/codeflare-sdk/blob/main/docs/sphinx/user-docs/e2e.rst)
 
 #### Code Coverage
 
diff --git a/docs/sphinx/user-docs/ray-cluster-interaction.rst b/docs/sphinx/user-docs/ray-cluster-interaction.rst
index 8e7929b4..717f8067 100644
--- a/docs/sphinx/user-docs/ray-cluster-interaction.rst
+++ b/docs/sphinx/user-docs/ray-cluster-interaction.rst
@@ -66,6 +66,12 @@ cluster.up()
 
 | The ``cluster.up()`` function creates a Ray Cluster in the given namespace.
 
+cluster.apply()
+------------
+
+| The ``cluster.apply()`` function applies a Ray Cluster in the given namespace. If the cluster already exists, it is updated.
+| If it does not exist it is created.
+
 cluster.down()
 --------------
 
diff --git a/src/codeflare_sdk/common/kueue/test_kueue.py b/src/codeflare_sdk/common/kueue/test_kueue.py
index 0093058c..bbc54e9e 100644
--- a/src/codeflare_sdk/common/kueue/test_kueue.py
+++ b/src/codeflare_sdk/common/kueue/test_kueue.py
@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from ..utils.unit_test_support import (
-    apply_template,
     get_local_queue,
-    createClusterConfig,
+    create_cluster_config,
     get_template_variables,
+    apply_template,
 )
 from unittest.mock import patch
 from codeflare_sdk.ray.cluster.cluster import Cluster, ClusterConfiguration
@@ -23,7 +23,7 @@
 import os
 import filecmp
 from pathlib import Path
-from .kueue import list_local_queues
+from .kueue import list_local_queues, local_queue_exists, add_queue_label
 
 parent = Path(__file__).resolve().parents[4]  # project directory
 aw_dir = os.path.expanduser("~/.codeflare/resources/")
@@ -51,7 +51,7 @@ def test_cluster_creation_no_aw_local_queue(mocker):
         "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
         return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
     )
-    config = createClusterConfig()
+    config = create_cluster_config()
     config.name = "unit-test-cluster-kueue"
     config.write_to_file = True
     config.local_queue = "local-queue-default"
@@ -67,7 +67,7 @@ def test_cluster_creation_no_aw_local_queue(mocker):
         assert cluster_kueue == expected_rc
 
     # With resources loaded in memory, no Local Queue specified.
-    config = createClusterConfig()
+    config = create_cluster_config()
     config.name = "unit-test-cluster-kueue"
     config.write_to_file = False
     cluster = Cluster(config)
@@ -84,7 +84,7 @@ def test_aw_creation_local_queue(mocker):
         "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
         return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
     )
-    config = createClusterConfig()
+    config = create_cluster_config()
     config.name = "unit-test-aw-kueue"
     config.appwrapper = True
     config.write_to_file = True
@@ -101,7 +101,7 @@ def test_aw_creation_local_queue(mocker):
         assert aw_kueue == expected_rc
 
     # With resources loaded in memory, no Local Queue specified.
-    config = createClusterConfig()
+    config = create_cluster_config()
     config.name = "unit-test-aw-kueue"
     config.appwrapper = True
     config.write_to_file = False
@@ -120,7 +120,7 @@ def test_get_local_queue_exists_fail(mocker):
         "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
         return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
     )
-    config = createClusterConfig()
+    config = create_cluster_config()
     config.name = "unit-test-aw-kueue"
     config.appwrapper = True
     config.write_to_file = True
@@ -175,6 +175,123 @@ def test_list_local_queues(mocker):
     assert lqs == []
 
 
+def test_local_queue_exists_found(mocker):
+    # Mock Kubernetes client and list_namespaced_custom_object method
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mock_api_instance = mocker.Mock()
+    mocker.patch("kubernetes.client.CustomObjectsApi", return_value=mock_api_instance)
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.config_check")
+
+    # Mock return value for list_namespaced_custom_object
+    mock_api_instance.list_namespaced_custom_object.return_value = {
+        "items": [
+            {"metadata": {"name": "existing-queue"}},
+            {"metadata": {"name": "another-queue"}},
+        ]
+    }
+
+    # Call the function
+    namespace = "test-namespace"
+    local_queue_name = "existing-queue"
+    result = local_queue_exists(namespace, local_queue_name)
+
+    # Assertions
+    assert result is True
+    mock_api_instance.list_namespaced_custom_object.assert_called_once_with(
+        group="kueue.x-k8s.io",
+        version="v1beta1",
+        namespace=namespace,
+        plural="localqueues",
+    )
+
+
+def test_local_queue_exists_not_found(mocker):
+    # Mock Kubernetes client and list_namespaced_custom_object method
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mock_api_instance = mocker.Mock()
+    mocker.patch("kubernetes.client.CustomObjectsApi", return_value=mock_api_instance)
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.config_check")
+
+    # Mock return value for list_namespaced_custom_object
+    mock_api_instance.list_namespaced_custom_object.return_value = {
+        "items": [
+            {"metadata": {"name": "another-queue"}},
+            {"metadata": {"name": "different-queue"}},
+        ]
+    }
+
+    # Call the function
+    namespace = "test-namespace"
+    local_queue_name = "non-existent-queue"
+    result = local_queue_exists(namespace, local_queue_name)
+
+    # Assertions
+    assert result is False
+    mock_api_instance.list_namespaced_custom_object.assert_called_once_with(
+        group="kueue.x-k8s.io",
+        version="v1beta1",
+        namespace=namespace,
+        plural="localqueues",
+    )
+
+
+import pytest
+from unittest import mock  # If you're also using mocker from pytest-mock
+
+
+def test_add_queue_label_with_valid_local_queue(mocker):
+    # Mock the kubernetes.client.CustomObjectsApi and its response
+    mock_api_instance = mocker.patch("kubernetes.client.CustomObjectsApi")
+    mock_api_instance.return_value.list_namespaced_custom_object.return_value = {
+        "items": [
+            {"metadata": {"name": "valid-queue"}},
+        ]
+    }
+
+    # Mock other dependencies
+    mocker.patch("codeflare_sdk.common.kueue.local_queue_exists", return_value=True)
+    mocker.patch(
+        "codeflare_sdk.common.kueue.get_default_kueue_name",
+        return_value="default-queue",
+    )
+
+    # Define input item and parameters
+    item = {"metadata": {}}
+    namespace = "test-namespace"
+    local_queue = "valid-queue"
+
+    # Call the function
+    add_queue_label(item, namespace, local_queue)
+
+    # Assert that the label is added to the item
+    assert item["metadata"]["labels"] == {"kueue.x-k8s.io/queue-name": "valid-queue"}
+
+
+def test_add_queue_label_with_invalid_local_queue(mocker):
+    # Mock the kubernetes.client.CustomObjectsApi and its response
+    mock_api_instance = mocker.patch("kubernetes.client.CustomObjectsApi")
+    mock_api_instance.return_value.list_namespaced_custom_object.return_value = {
+        "items": [
+            {"metadata": {"name": "valid-queue"}},
+        ]
+    }
+
+    # Mock the local_queue_exists function to return False
+    mocker.patch("codeflare_sdk.common.kueue.local_queue_exists", return_value=False)
+
+    # Define input item and parameters
+    item = {"metadata": {}}
+    namespace = "test-namespace"
+    local_queue = "invalid-queue"
+
+    # Call the function and expect a ValueError
+    with pytest.raises(
+        ValueError,
+        match="local_queue provided does not exist or is not in this namespace",
+    ):
+        add_queue_label(item, namespace, local_queue)
+
+
 # Make sure to always keep this function last
 def test_cleanup():
     os.remove(f"{aw_dir}unit-test-cluster-kueue.yaml")
diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 373283b8..28a30381 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -29,32 +29,34 @@
 aw_dir = os.path.expanduser("~/.codeflare/resources/")
 
 
-def createClusterConfig():
+def create_cluster_config(num_workers=2, write_to_file=False):
     config = ClusterConfiguration(
         name="unit-test-cluster",
         namespace="ns",
-        num_workers=2,
+        num_workers=num_workers,
         worker_cpu_requests=3,
         worker_cpu_limits=4,
         worker_memory_requests=5,
         worker_memory_limits=6,
         appwrapper=True,
-        write_to_file=False,
+        write_to_file=write_to_file,
     )
     return config
 
 
-def createClusterWithConfig(mocker):
-    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
-    mocker.patch(
-        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
-        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
-    )
-    cluster = Cluster(createClusterConfig())
+def create_cluster(mocker, num_workers=2, write_to_file=False):
+    cluster = Cluster(create_cluster_config(num_workers, write_to_file))
     return cluster
 
 
-def createClusterWrongType():
+def patch_cluster_with_dynamic_client(mocker, cluster, dynamic_client=None):
+    mocker.patch.object(cluster, "get_dynamic_client", return_value=dynamic_client)
+    mocker.patch.object(cluster, "down", return_value=None)
+    mocker.patch.object(cluster, "config_check", return_value=None)
+    # mocker.patch.object(cluster, "_throw_for_no_raycluster", return_value=None)
+
+
+def create_cluster_wrong_type():
     config = ClusterConfiguration(
         name="unit-test-cluster",
         namespace="ns",
@@ -412,6 +414,48 @@ def mocked_ingress(port, cluster_name="unit-test-cluster", annotations: dict = N
     return mock_ingress
 
 
+# Global dictionary to maintain state in the mock
+cluster_state = {}
+
+
+# The mock side_effect function for server_side_apply
+def mock_server_side_apply(resource, body=None, name=None, namespace=None, **kwargs):
+    # Simulate the behavior of server_side_apply:
+    # Update a mock state that represents the cluster's current configuration.
+    # Stores the state in a global dictionary for simplicity.
+
+    global cluster_state
+
+    if not resource or not body or not name or not namespace:
+        raise ValueError("Missing required parameters for server_side_apply")
+
+    # Extract worker count from the body if it exists
+    try:
+        worker_count = (
+            body["spec"]["workerGroupSpecs"][0]["replicas"]
+            if "spec" in body and "workerGroupSpecs" in body["spec"]
+            else None
+        )
+    except KeyError:
+        worker_count = None
+
+    # Apply changes to the cluster_state mock
+    cluster_state[name] = {
+        "namespace": namespace,
+        "worker_count": worker_count,
+        "body": body,
+    }
+
+    # Return a response that mimics the behavior of a successful apply
+    return {
+        "status": "success",
+        "applied": True,
+        "name": name,
+        "namespace": namespace,
+        "worker_count": worker_count,
+    }
+
+
 @patch.dict("os.environ", {"NB_PREFIX": "test-prefix"})
 def create_cluster_all_config_params(mocker, cluster_name, is_appwrapper) -> Cluster:
     mocker.patch(
diff --git a/src/codeflare_sdk/common/widgets/test_widgets.py b/src/codeflare_sdk/common/widgets/test_widgets.py
index 12c23854..a7d3de92 100644
--- a/src/codeflare_sdk/common/widgets/test_widgets.py
+++ b/src/codeflare_sdk/common/widgets/test_widgets.py
@@ -15,7 +15,7 @@
 import codeflare_sdk.common.widgets.widgets as cf_widgets
 import pandas as pd
 from unittest.mock import MagicMock, patch
-from ..utils.unit_test_support import get_local_queue, createClusterConfig
+from ..utils.unit_test_support import get_local_queue, create_cluster_config
 from codeflare_sdk.ray.cluster.cluster import Cluster
 from codeflare_sdk.ray.cluster.status import (
     RayCluster,
@@ -38,7 +38,7 @@ def test_cluster_up_down_buttons(mocker):
         "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
         return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
     )
-    cluster = Cluster(createClusterConfig())
+    cluster = Cluster(create_cluster_config())
 
     with patch("ipywidgets.Button") as MockButton, patch(
         "ipywidgets.Checkbox"
diff --git a/src/codeflare_sdk/ray/cluster/cluster.py b/src/codeflare_sdk/ray/cluster/cluster.py
index a3f34554..b42efd87 100644
--- a/src/codeflare_sdk/ray/cluster/cluster.py
+++ b/src/codeflare_sdk/ray/cluster/cluster.py
@@ -52,9 +52,15 @@
 import requests
 
 from kubernetes import config
+from kubernetes.dynamic import DynamicClient
+from kubernetes import client as k8s_client
+from kubernetes.client.rest import ApiException
+
 from kubernetes.client.rest import ApiException
 import warnings
 
+CF_SDK_FIELD_MANAGER = "codeflare-sdk"
+
 
 class Cluster:
     """
@@ -84,6 +90,12 @@ def __init__(self, config: ClusterConfiguration):
         if is_notebook():
             cluster_up_down_buttons(self)
 
+    def get_dynamic_client(self):  # pragma: no cover
+        return DynamicClient(get_api_client())
+
+    def config_check(self):
+        return config_check()
+
     @property
     def _client_headers(self):
         k8_client = get_api_client()
@@ -95,9 +107,7 @@ def _client_headers(self):
 
     @property
     def _client_verify_tls(self):
-        if not _is_openshift_cluster or not self.config.verify_tls:
-            return False
-        return True
+        return _is_openshift_cluster and self.config.verify_tls
 
     @property
     def job_client(self):
@@ -121,7 +131,6 @@ def create_resource(self):
         Called upon cluster object creation, creates an AppWrapper yaml based on
         the specifications of the ClusterConfiguration.
         """
-
         if self.config.namespace is None:
             self.config.namespace = get_current_namespace()
             if self.config.namespace is None:
@@ -130,7 +139,6 @@ def create_resource(self):
                 raise TypeError(
                     f"Namespace {self.config.namespace} is of type {type(self.config.namespace)}. Check your Kubernetes Authentication."
                 )
-
         return build_ray_cluster(self)
 
     # creates a new cluster with the provided or default spec
@@ -139,10 +147,11 @@ def up(self):
         Applies the Cluster yaml, pushing the resource request onto
         the Kueue localqueue.
         """
-
+        print(
+            "WARNING: The up() function is planned for deprecation in favor of apply()."
+        )
         # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError
         self._throw_for_no_raycluster()
-
         namespace = self.config.namespace
 
         try:
@@ -176,6 +185,54 @@ def up(self):
         except Exception as e:  # pragma: no cover
             return _kube_api_error_handling(e)
 
+    # Applies a new cluster with the provided or default spec
+    def apply(self, force=False):
+        """
+        Applies the Cluster yaml using server-side apply.
+        If 'force' is set to True, conflicts will be forced.
+        """
+        # check if RayCluster CustomResourceDefinition exists if not throw RuntimeError
+        self._throw_for_no_raycluster()
+        namespace = self.config.namespace
+        name = self.config.name
+        try:
+            self.config_check()
+            api_instance = client.CustomObjectsApi(get_api_client())
+            crds = self.get_dynamic_client().resources
+            if self.config.appwrapper:
+                api_version = "workload.codeflare.dev/v1beta2"
+                api_instance = crds.get(api_version=api_version, kind="AppWrapper")
+                # defaulting body to resource_yaml
+                body = self.resource_yaml
+                if self.config.write_to_file:
+                    # if write_to_file is True, load the file from AppWrapper yaml and update body
+                    with open(self.resource_yaml) as f:
+                        aw = yaml.load(f, Loader=yaml.FullLoader)
+                    body = aw
+                api_instance.server_side_apply(
+                    field_manager=CF_SDK_FIELD_MANAGER,
+                    group="workload.codeflare.dev",
+                    version="v1beta2",
+                    namespace=namespace,
+                    plural="appwrappers",
+                    body=body,
+                    force_conflicts=force,
+                )
+                print(
+                    f"AppWrapper: '{name}' configuration has successfully been applied"
+                )
+            else:
+                api_version = "ray.io/v1"
+                api_instance = crds.get(api_version=api_version, kind="RayCluster")
+                self._component_resources_apply(
+                    namespace=namespace, api_instance=api_instance
+                )
+                print(f"Ray Cluster: '{name}' has successfully been applied")
+        except AttributeError as e:
+            raise RuntimeError(f"Failed to initialize DynamicClient: {e}")
+        except Exception as e:  # pragma: no cover
+            return _kube_api_error_handling(e)
+
     def _throw_for_no_raycluster(self):
         api_instance = client.CustomObjectsApi(get_api_client())
         try:
@@ -204,7 +261,7 @@ def down(self):
         resource_name = self.config.name
         self._throw_for_no_raycluster()
         try:
-            config_check()
+            self.config_check()
             api_instance = client.CustomObjectsApi(get_api_client())
             if self.config.appwrapper:
                 api_instance.delete_namespaced_custom_object(
@@ -507,6 +564,16 @@ def _component_resources_up(
         else:
             _create_resources(self.resource_yaml, namespace, api_instance)
 
+    def _component_resources_apply(
+        self, namespace: str, api_instance: client.CustomObjectsApi
+    ):
+        if self.config.write_to_file:
+            with open(self.resource_yaml) as f:
+                ray_cluster = yaml.safe_load(f)
+                _apply_ray_cluster(ray_cluster, namespace, api_instance)
+        else:
+            _apply_ray_cluster(self.resource_yaml, namespace, api_instance)
+
     def _component_resources_down(
         self, namespace: str, api_instance: client.CustomObjectsApi
     ):
@@ -744,6 +811,20 @@ def _create_resources(yamls, namespace: str, api_instance: client.CustomObjectsA
     )
 
 
+def _apply_ray_cluster(
+    yamls, namespace: str, api_instance: client.CustomObjectsApi, force=False
+):
+    api_instance.server_side_apply(
+        field_manager=CF_SDK_FIELD_MANAGER,
+        group="ray.io",
+        version="v1",
+        namespace=namespace,
+        plural="rayclusters",
+        body=yamls,
+        force_conflicts=force,  # Allow forcing conflicts if needed
+    )
+
+
 def _check_aw_exists(name: str, namespace: str) -> bool:
     try:
         config_check()
diff --git a/src/codeflare_sdk/ray/cluster/test_cluster.py b/src/codeflare_sdk/ray/cluster/test_cluster.py
index 5e83c82a..298c416e 100644
--- a/src/codeflare_sdk/ray/cluster/test_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/test_cluster.py
@@ -19,16 +19,18 @@
     list_all_queued,
 )
 from codeflare_sdk.common.utils.unit_test_support import (
-    createClusterWithConfig,
+    create_cluster,
     arg_check_del_effect,
     ingress_retrieval,
     arg_check_apply_effect,
     get_local_queue,
-    createClusterConfig,
+    create_cluster_config,
     get_ray_obj,
     get_obj_none,
     get_ray_obj_with_status,
     get_aw_obj_with_status,
+    patch_cluster_with_dynamic_client,
+    route_list_retrieval,
 )
 from codeflare_sdk.ray.cluster.cluster import _is_openshift_cluster
 from pathlib import Path
@@ -67,11 +69,189 @@ def test_cluster_up_down(mocker):
         "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
         return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
     )
-    cluster = cluster = createClusterWithConfig(mocker)
+    cluster = create_cluster(mocker)
     cluster.up()
     cluster.down()
 
 
+def test_cluster_apply_scale_up_scale_down(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mock_dynamic_client = mocker.Mock()
+    mocker.patch(
+        "kubernetes.dynamic.DynamicClient.resources", new_callable=mocker.PropertyMock
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.create_resource",
+        return_value="./tests/test_cluster_yamls/ray/default-ray-cluster.yaml",
+    )
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
+        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
+    )
+
+    # Initialize test
+    initial_num_workers = 1
+    scaled_up_num_workers = 2
+
+    # Step 1: Create cluster with initial workers
+    cluster = create_cluster(mocker, initial_num_workers)
+    patch_cluster_with_dynamic_client(mocker, cluster, mock_dynamic_client)
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_obj_none("ray.io", "v1", "ns", "rayclusters"),
+    )
+    cluster.apply()
+
+    # Step 2: Scale up the cluster
+    cluster = create_cluster(mocker, scaled_up_num_workers)
+    patch_cluster_with_dynamic_client(mocker, cluster, mock_dynamic_client)
+    cluster.apply()
+
+    # Step 3: Scale down the cluster
+    cluster = create_cluster(mocker, initial_num_workers)
+    patch_cluster_with_dynamic_client(mocker, cluster, mock_dynamic_client)
+    cluster.apply()
+
+    # Tear down
+    cluster.down()
+
+
+def test_cluster_apply_with_file(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mock_dynamic_client = mocker.Mock()
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
+    mocker.patch(
+        "kubernetes.dynamic.DynamicClient.resources", new_callable=mocker.PropertyMock
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.create_resource",
+        return_value="./tests/test_cluster_yamls/ray/default-ray-cluster.yaml",
+    )
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
+        return_value={"spec": {"domain": "apps.cluster.awsroute.org"}},
+    )
+
+    # Step 1: Create cluster with initial workers
+    cluster = create_cluster(mocker, 1, write_to_file=True)
+    patch_cluster_with_dynamic_client(mocker, cluster, mock_dynamic_client)
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_obj_none("ray.io", "v1", "ns", "rayclusters"),
+    )
+    cluster.apply()
+    # Tear down
+    cluster.down()
+
+
+def test_cluster_apply_with_appwrapper(mocker):
+    # Mock Kubernetes client and dynamic client methods
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._check_aw_exists",
+        return_value=True,
+    )
+    mock_dynamic_client = mocker.Mock()
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
+    mocker.patch(
+        "kubernetes.dynamic.DynamicClient.resources", new_callable=mocker.PropertyMock
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.create_resource",
+        return_value="./tests/test_cluster_yamls/ray/default-ray-cluster.yaml",
+    )
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+
+    # Create a cluster configuration with appwrapper set to False
+    cluster = create_cluster(mocker, 1, write_to_file=False)
+    patch_cluster_with_dynamic_client(mocker, cluster, mock_dynamic_client)
+
+    # Mock listing RayCluster to simulate it doesn't exist
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_obj_none("ray.io", "v1", "ns", "rayclusters"),
+    )
+    # Call the apply method
+    cluster.apply()
+
+    # Assertions
+    print("Cluster applied without AppWrapper.")
+
+
+def test_cluster_apply_without_appwrapper_write_to_file(mocker):
+    # Mock Kubernetes client and dynamic client methods
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._check_aw_exists",
+        return_value=True,
+    )
+    mock_dynamic_client = mocker.Mock()
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
+    mocker.patch(
+        "kubernetes.dynamic.DynamicClient.resources", new_callable=mocker.PropertyMock
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.create_resource",
+        return_value="./tests/test_cluster_yamls/ray/default-ray-cluster.yaml",
+    )
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+
+    # Create a cluster configuration with appwrapper set to False
+    cluster = create_cluster(mocker, 1, write_to_file=True)
+    patch_cluster_with_dynamic_client(mocker, cluster, mock_dynamic_client)
+    cluster.config.appwrapper = False
+
+    # Mock listing RayCluster to simulate it doesn't exist
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_obj_none("ray.io", "v1", "ns", "rayclusters"),
+    )
+    # Call the apply method
+    cluster.apply()
+
+    # Assertions
+    print("Cluster applied without AppWrapper.")
+
+
+def test_cluster_apply_without_appwrapper(mocker):
+    # Mock Kubernetes client and dynamic client methods
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mock_dynamic_client = mocker.Mock()
+    mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
+    mocker.patch(
+        "kubernetes.dynamic.DynamicClient.resources", new_callable=mocker.PropertyMock
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster.Cluster.create_resource",
+        return_value="./tests/test_cluster_yamls/ray/default-ray-cluster.yaml",
+    )
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+
+    # Create a cluster configuration with appwrapper set to False
+    cluster = create_cluster(mocker, 1, write_to_file=False)
+    cluster.config.appwrapper = None
+    patch_cluster_with_dynamic_client(mocker, cluster, mock_dynamic_client)
+
+    # Mock listing RayCluster to simulate it doesn't exist
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value=get_obj_none("ray.io", "v1", "ns", "rayclusters"),
+    )
+
+    # Call the apply method
+    cluster.apply()
+
+    # Assertions
+    print("Cluster applied without AppWrapper.")
+
+
 def test_cluster_up_down_no_mcad(mocker):
     mocker.patch("codeflare_sdk.ray.cluster.cluster.Cluster._throw_for_no_raycluster")
     mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
@@ -98,7 +278,7 @@ def test_cluster_up_down_no_mcad(mocker):
         "kubernetes.client.CustomObjectsApi.list_cluster_custom_object",
         return_value={"items": []},
     )
-    config = createClusterConfig()
+    config = create_cluster_config()
     config.name = "unit-test-cluster-ray"
     config.appwrapper = False
     cluster = Cluster(config)
@@ -117,7 +297,7 @@ def test_cluster_uris(mocker):
         "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
         return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
     )
-    cluster = cluster = createClusterWithConfig(mocker)
+    cluster = create_cluster(mocker)
     mocker.patch(
         "kubernetes.client.NetworkingV1Api.list_namespaced_ingress",
         return_value=ingress_retrieval(
@@ -147,6 +327,52 @@ def test_cluster_uris(mocker):
         == "Dashboard not available yet, have you run cluster.up()?"
     )
 
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.cluster._is_openshift_cluster", return_value=True
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value={
+            "items": [
+                {
+                    "metadata": {
+                        "name": "ray-dashboard-unit-test-cluster",
+                    },
+                    "spec": {
+                        "host": "ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org",
+                        "tls": {},  # Indicating HTTPS
+                    },
+                }
+            ]
+        },
+    )
+    cluster = create_cluster(mocker)
+    assert (
+        cluster.cluster_dashboard_uri()
+        == "http://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
+    )
+    mocker.patch(
+        "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
+        return_value={
+            "items": [
+                {
+                    "metadata": {
+                        "name": "ray-dashboard-unit-test-cluster",
+                    },
+                    "spec": {
+                        "host": "ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org",
+                        "tls": {"termination": "passthrough"},  # Indicating HTTPS
+                    },
+                }
+            ]
+        },
+    )
+    cluster = create_cluster(mocker)
+    assert (
+        cluster.cluster_dashboard_uri()
+        == "https://ray-dashboard-unit-test-cluster-ns.apps.cluster.awsroute.org"
+    )
+
 
 def test_ray_job_wrapping(mocker):
     import ray
@@ -159,7 +385,7 @@ def ray_addr(self, *args):
         "kubernetes.client.CustomObjectsApi.list_namespaced_custom_object",
         return_value=get_local_queue("kueue.x-k8s.io", "v1beta1", "ns", "localqueues"),
     )
-    cluster = cluster = createClusterWithConfig(mocker)
+    cluster = create_cluster(mocker)
     mocker.patch(
         "ray.job_submission.JobSubmissionClient._check_connection_and_version_with_url",
         return_value="None",
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index 5302e0eb..34cc4237 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -14,8 +14,8 @@
 
 from codeflare_sdk.common.utils.unit_test_support import (
     apply_template,
-    createClusterWrongType,
     get_example_extended_storage_opts,
+    create_cluster_wrong_type,
     create_cluster_all_config_params,
     get_template_variables,
 )
@@ -59,6 +59,7 @@ def test_default_appwrapper_creation(mocker):
     assert cluster.resource_yaml == expected_aw
 
 
+@pytest.mark.filterwarnings("ignore::UserWarning")
 def test_config_creation_all_parameters(mocker):
     from codeflare_sdk.ray.cluster.config import DEFAULT_RESOURCE_MAPPING
 
@@ -110,6 +111,7 @@ def test_config_creation_all_parameters(mocker):
     )
 
 
+@pytest.mark.filterwarnings("ignore::UserWarning")
 def test_all_config_params_aw(mocker):
     create_cluster_all_config_params(mocker, "aw-all-params", True)
     assert filecmp.cmp(
@@ -121,11 +123,12 @@ def test_all_config_params_aw(mocker):
 
 def test_config_creation_wrong_type():
     with pytest.raises(TypeError) as error_info:
-        createClusterWrongType()
+        create_cluster_wrong_type()
 
     assert len(str(error_info.value).splitlines()) == 4
 
 
+@pytest.mark.filterwarnings("ignore::UserWarning")
 def test_cluster_config_deprecation_conversion(mocker):
     config = ClusterConfiguration(
         name="test",
diff --git a/tests/e2e/cluster_apply_kind_test.py b/tests/e2e/cluster_apply_kind_test.py
new file mode 100644
index 00000000..398bf73b
--- /dev/null
+++ b/tests/e2e/cluster_apply_kind_test.py
@@ -0,0 +1,156 @@
+from codeflare_sdk import Cluster, ClusterConfiguration
+import pytest
+from kubernetes import client
+
+from support import (
+    initialize_kubernetes_client,
+    create_namespace,
+    delete_namespace,
+    get_ray_cluster,
+)
+
+
+@pytest.mark.kind
+class TestRayClusterApply:
+    def setup_method(self):
+        initialize_kubernetes_client(self)
+
+    def teardown_method(self):
+        delete_namespace(self)
+
+    def test_cluster_apply(self):
+        self.setup_method()
+        create_namespace(self)
+
+        cluster_name = "test-cluster-apply"
+        namespace = self.namespace
+
+        # Initial configuration with 1 worker
+        initial_config = ClusterConfiguration(
+            name=cluster_name,
+            namespace=namespace,
+            num_workers=1,
+            head_cpu_requests="500m",
+            head_cpu_limits="1",
+            head_memory_requests="1Gi",
+            head_memory_limits="2Gi",
+            worker_cpu_requests="500m",
+            worker_cpu_limits="1",
+            worker_memory_requests="1Gi",
+            worker_memory_limits="2Gi",
+            write_to_file=True,
+            verify_tls=False,
+        )
+
+        # Create the cluster
+        cluster = Cluster(initial_config)
+        cluster.apply()
+
+        # Wait for the cluster to be ready
+        cluster.wait_ready()
+        status = cluster.status()
+        assert status["ready"], f"Cluster {cluster_name} is not ready: {status}"
+
+        # Verify the cluster is created
+        ray_cluster = get_ray_cluster(cluster_name, namespace)
+        assert ray_cluster is not None, "Cluster was not created successfully"
+        assert (
+            ray_cluster["spec"]["workerGroupSpecs"][0]["replicas"] == 1
+        ), "Initial worker count does not match"
+
+        # Update configuration with 3 workers
+        updated_config = ClusterConfiguration(
+            name=cluster_name,
+            namespace=namespace,
+            num_workers=2,
+            head_cpu_requests="500m",
+            head_cpu_limits="1",
+            head_memory_requests="1Gi",
+            head_memory_limits="2Gi",
+            worker_cpu_requests="500m",
+            worker_cpu_limits="1",
+            worker_memory_requests="1Gi",
+            worker_memory_limits="2Gi",
+            write_to_file=True,
+            verify_tls=False,
+        )
+
+        # Apply the updated configuration
+        cluster.config = updated_config
+        cluster.apply()
+
+        # Wait for the updated cluster to be ready
+        cluster.wait_ready()
+        updated_status = cluster.status()
+        assert updated_status[
+            "ready"
+        ], f"Cluster {cluster_name} is not ready after update: {updated_status}"
+
+        # Verify the cluster is updated
+        updated_ray_cluster = get_ray_cluster(cluster_name, namespace)
+        assert (
+            updated_ray_cluster["spec"]["workerGroupSpecs"][0]["replicas"] == 2
+        ), "Worker count was not updated"
+
+        # Clean up
+        cluster.down()
+        ray_cluster = get_ray_cluster(cluster_name, namespace)
+        assert ray_cluster is None, "Cluster was not deleted successfully"
+
+    def test_apply_invalid_update(self):
+        self.setup_method()
+        create_namespace(self)
+
+        cluster_name = "test-cluster-apply-invalid"
+        namespace = self.namespace
+
+        # Initial configuration
+        initial_config = ClusterConfiguration(
+            name=cluster_name,
+            namespace=namespace,
+            num_workers=1,
+            head_cpu_requests="500m",
+            head_cpu_limits="1",
+            head_memory_requests="1Gi",
+            head_memory_limits="2Gi",
+            worker_cpu_requests="500m",
+            worker_cpu_limits="1",
+            worker_memory_requests="1Gi",
+            worker_memory_limits="2Gi",
+            write_to_file=True,
+            verify_tls=False,
+        )
+
+        # Create the cluster
+        cluster = Cluster(initial_config)
+        cluster.apply()
+
+        # Wait for the cluster to be ready
+        cluster.wait_ready()
+        status = cluster.status()
+        assert status["ready"], f"Cluster {cluster_name} is not ready: {status}"
+
+        # Update with an invalid configuration (e.g., immutable field change)
+        invalid_config = ClusterConfiguration(
+            name=cluster_name,
+            namespace=namespace,
+            num_workers=2,
+            head_cpu_requests="1",
+            head_cpu_limits="2",  # Changing CPU limits (immutable)
+            head_memory_requests="1Gi",
+            head_memory_limits="2Gi",
+            worker_cpu_requests="500m",
+            worker_cpu_limits="1",
+            worker_memory_requests="1Gi",
+            worker_memory_limits="2Gi",
+            write_to_file=True,
+            verify_tls=False,
+        )
+
+        # Try to apply the invalid configuration and expect failure
+        cluster.config = invalid_config
+        with pytest.raises(RuntimeError, match="Immutable fields detected"):
+            cluster.apply()
+
+        # Clean up
+        cluster.down()
diff --git a/tests/e2e/support.py b/tests/e2e/support.py
index 2ff33e91..5e4ddbdf 100644
--- a/tests/e2e/support.py
+++ b/tests/e2e/support.py
@@ -11,6 +11,22 @@
 )
 
 
+def get_ray_cluster(cluster_name, namespace):
+    api = client.CustomObjectsApi()
+    try:
+        return api.get_namespaced_custom_object(
+            group="ray.io",
+            version="v1",
+            namespace=namespace,
+            plural="rayclusters",
+            name=cluster_name,
+        )
+    except client.exceptions.ApiException as e:
+        if e.status == 404:
+            return None
+        raise
+
+
 def get_ray_image():
     default_ray_image = "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06"
     return os.getenv("RAY_IMAGE", default_ray_image)

From c31166558d4527d2cb824eff40d75e8c0b1373c5 Mon Sep 17 00:00:00 2001
From: Bobbins228 
Date: Thu, 20 Feb 2025 09:21:47 +0000
Subject: [PATCH 214/254] add ray team to OWNERS file

---
 OWNERS | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/OWNERS b/OWNERS
index f375f431..31e4619c 100644
--- a/OWNERS
+++ b/OWNERS
@@ -1,23 +1,25 @@
 approvers:
   - astefanutti
   - Bobbins228
+  - chipspeak
   - ChristianZaccaria
   - dimakis
   - Fiona-Waters
   - franciscojavierarceo
   - kpostoffice
-  - maxusmusti
-  - MichaelClifford
+  - pmccarthy
+  - szaher
   - varshaprasad96
 reviewers:
   - astefanutti
   - Bobbins228
+  - chipspeak
   - ChristianZaccaria
   - dimakis
   - Fiona-Waters
   - franciscojavierarceo
   - kpostoffice
-  - maxusmusti
-  - MichaelClifford
+  - pmccarthy
+  - szaher
   - varshaprasad96
   - Ygnas

From d109bb7fd84dfb208758d8355b001343ec18bac6 Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Mon, 14 Apr 2025 16:26:36 +0100
Subject: [PATCH 215/254] task(RHOAIENG-22446): Updated OWNERS with Ray Team

Signed-off-by: Pat O'Connor 
---
 OWNERS | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/OWNERS b/OWNERS
index 31e4619c..e26dd545 100644
--- a/OWNERS
+++ b/OWNERS
@@ -7,6 +7,9 @@ approvers:
   - Fiona-Waters
   - franciscojavierarceo
   - kpostoffice
+  - kryanbeane
+  - laurafitzgerald
+  - pawelpaszki
   - pmccarthy
   - szaher
   - varshaprasad96
@@ -19,6 +22,9 @@ reviewers:
   - Fiona-Waters
   - franciscojavierarceo
   - kpostoffice
+  - kryanbeane
+  - laurafitzgerald
+  - pawelpaszki
   - pmccarthy
   - szaher
   - varshaprasad96

From 769c04b1a511e85174cae005e066ac6cfdd1d491 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" 
Date: Tue, 15 Apr 2025 10:50:56 +0000
Subject: [PATCH 216/254] Updated coverage.svg

---
 coverage.svg | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/coverage.svg b/coverage.svg
index c1490035..a8c7e72a 100644
--- a/coverage.svg
+++ b/coverage.svg
@@ -15,7 +15,7 @@
     
         coverage
         coverage
-        90%
-        90%
+        92%
+        92%
     
 

From f45e02180bb5a7f47ffbf30619773ea0a292eb8e Mon Sep 17 00:00:00 2001
From: "openshift-merge-bot[bot]"
 
Date: Tue, 15 Apr 2025 10:50:57 +0000
Subject: [PATCH 217/254] [create-pull-request] automated change

---
 poetry.lock | 269 ++++++++++++++++++++++++++++++++++++++++++++--------
 1 file changed, 227 insertions(+), 42 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 88224764..34340a62 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -6,6 +6,7 @@ version = "2.4.3"
 description = "Happy Eyeballs for asyncio"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"},
     {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
@@ -17,6 +18,7 @@ version = "3.10.11"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "aiohttp-3.10.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5077b1a5f40ffa3ba1f40d537d3bec4383988ee51fbba6b74aa8fb1bc466599e"},
     {file = "aiohttp-3.10.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8d6a14a4d93b5b3c2891fca94fa9d41b2322a68194422bef0dd5ec1e57d7d298"},
@@ -121,7 +123,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.12.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiohttp-cors"
@@ -129,6 +131,7 @@ version = "0.7.0"
 description = "CORS support for aiohttp"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "aiohttp-cors-0.7.0.tar.gz", hash = "sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d"},
     {file = "aiohttp_cors-0.7.0-py3-none-any.whl", hash = "sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e"},
@@ -143,6 +146,7 @@ version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
     {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
@@ -157,6 +161,7 @@ version = "0.7.16"
 description = "A light, configurable Sphinx theme"
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
 files = [
     {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"},
     {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
@@ -168,6 +173,7 @@ version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
+groups = ["test"]
 files = [
     {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
     {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
@@ -181,7 +187,7 @@ typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\""]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -190,6 +196,8 @@ version = "0.1.4"
 description = "Disable App Nap on macOS >= 10.9"
 optional = false
 python-versions = ">=3.6"
+groups = ["test"]
+markers = "platform_system == \"Darwin\""
 files = [
     {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
     {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
@@ -201,6 +209,7 @@ version = "23.1.0"
 description = "Argon2 for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"},
     {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"},
@@ -221,6 +230,7 @@ version = "21.2.0"
 description = "Low-level CFFI bindings for Argon2"
 optional = false
 python-versions = ">=3.6"
+groups = ["test"]
 files = [
     {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"},
     {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"},
@@ -258,6 +268,7 @@ version = "1.3.0"
 description = "Better dates & times for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"},
     {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"},
@@ -277,6 +288,7 @@ version = "2.4.1"
 description = "Annotate AST trees with source code positions"
 optional = false
 python-versions = "*"
+groups = ["main", "test"]
 files = [
     {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
     {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
@@ -286,8 +298,8 @@ files = [
 six = ">=1.12.0"
 
 [package.extras]
-astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
-test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
+astroid = ["astroid (>=1,<2) ; python_version < \"3\"", "astroid (>=2,<4) ; python_version >= \"3\""]
+test = ["astroid (>=1,<2) ; python_version < \"3\"", "astroid (>=2,<4) ; python_version >= \"3\"", "pytest"]
 
 [[package]]
 name = "async-lru"
@@ -295,6 +307,7 @@ version = "2.0.4"
 description = "Simple LRU cache for asyncio"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"},
     {file = "async_lru-2.0.4-py3-none-any.whl", hash = "sha256:ff02944ce3c288c5be660c42dbcca0742b32c3b279d6dceda655190240b99224"},
@@ -309,6 +322,8 @@ version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
@@ -320,18 +335,19 @@ version = "24.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "test"]
 files = [
     {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
     {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
 ]
 
 [package.extras]
-benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\" and python_version < \"3.13\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\" and python_version < \"3.13\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\"", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\" and python_version < \"3.13\"", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
-tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\" and python_version < \"3.13\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\" and python_version < \"3.13\""]
 
 [[package]]
 name = "babel"
@@ -339,6 +355,7 @@ version = "2.16.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs", "test"]
 files = [
     {file = "babel-2.16.0-py3-none-any.whl", hash = "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b"},
     {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"},
@@ -353,6 +370,7 @@ version = "4.2.0"
 description = "Modern password hashing for your software and your servers"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "bcrypt-4.2.0-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:096a15d26ed6ce37a14c1ac1e48119660f21b24cba457f160a4b830f3fe6b5cb"},
     {file = "bcrypt-4.2.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c02d944ca89d9b1922ceb8a46460dd17df1ba37ab66feac4870f6862a1533c00"},
@@ -393,6 +411,7 @@ version = "4.12.3"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.6.0"
+groups = ["test"]
 files = [
     {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
     {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
@@ -414,6 +433,7 @@ version = "6.1.0"
 description = "An easy safelist-based HTML-sanitizing tool."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "bleach-6.1.0-py3-none-any.whl", hash = "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"},
     {file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"},
@@ -432,6 +452,7 @@ version = "5.5.0"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "cachetools-5.5.0-py3-none-any.whl", hash = "sha256:02134e8439cdc2ffb62023ce1debca2944c3f289d66bb17ead3ab3dede74b292"},
     {file = "cachetools-5.5.0.tar.gz", hash = "sha256:2cc24fb4cbe39633fb7badd9db9ca6295d766d9c2995f245725a46715d050f2a"},
@@ -443,6 +464,7 @@ version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "docs", "test"]
 files = [
     {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
     {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
@@ -454,6 +476,7 @@ version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"},
     {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"},
@@ -533,6 +556,7 @@ version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main", "docs", "test"]
 files = [
     {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
     {file = "charset_normalizer-3.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:25baf083bf6f6b341f4121c2f3c548875ee6f5339300e08be3f2b2ba1721cdd3"},
@@ -632,6 +656,7 @@ version = "8.1.7"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "click-8.1.7-py3-none-any.whl", hash = "sha256:ae74fb96c20a0277a1d615f1e4d73c8414f5a98db8b799a7931d1582f3390c28"},
     {file = "click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de"},
@@ -646,10 +671,12 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
+groups = ["main", "docs", "test"]
 files = [
     {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
+markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", docs = "sys_platform == \"win32\"", test = "sys_platform == \"win32\""}
 
 [[package]]
 name = "colorful"
@@ -657,6 +684,7 @@ version = "0.5.6"
 description = "Terminal string styling done right, in Python."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "colorful-0.5.6-py2.py3-none-any.whl", hash = "sha256:eab8c1c809f5025ad2b5238a50bd691e26850da8cac8f90d660ede6ea1af9f1e"},
     {file = "colorful-0.5.6.tar.gz", hash = "sha256:b56d5c01db1dac4898308ea889edcb113fbee3e6ec5df4bacffd61d5241b5b8d"},
@@ -671,6 +699,7 @@ version = "0.2.2"
 description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"},
     {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"},
@@ -688,6 +717,7 @@ version = "7.6.4"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["test"]
 files = [
     {file = "coverage-7.6.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5f8ae553cba74085db385d489c7a792ad66f7f9ba2ee85bfa508aeb84cf0ba07"},
     {file = "coverage-7.6.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8165b796df0bd42e10527a3f493c592ba494f16ef3c8b531288e3d0d72c1f6f0"},
@@ -754,7 +784,7 @@ files = [
 ]
 
 [package.extras]
-toml = ["tomli"]
+toml = ["tomli ; python_full_version <= \"3.11.0a6\""]
 
 [[package]]
 name = "cryptography"
@@ -762,6 +792,7 @@ version = "43.0.3"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
     {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e"},
@@ -811,6 +842,7 @@ version = "1.8.6"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "debugpy-1.8.6-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:30f467c5345d9dfdcc0afdb10e018e47f092e383447500f125b4e013236bf14b"},
     {file = "debugpy-1.8.6-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d73d8c52614432f4215d0fe79a7e595d0dd162b5c15233762565be2f014803b"},
@@ -842,6 +874,7 @@ version = "5.1.1"
 description = "Decorators for Humans"
 optional = false
 python-versions = ">=3.5"
+groups = ["main", "test"]
 files = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
@@ -853,6 +886,7 @@ version = "0.7.1"
 description = "XML bomb protection for Python stdlib modules"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["test"]
 files = [
     {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
     {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
@@ -864,6 +898,7 @@ version = "0.3.8"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
     {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
@@ -875,6 +910,7 @@ version = "0.20.1"
 description = "Docutils -- Python Documentation Utilities"
 optional = false
 python-versions = ">=3.7"
+groups = ["docs"]
 files = [
     {file = "docutils-0.20.1-py3-none-any.whl", hash = "sha256:96f387a2c5562db4476f09f13bbab2192e764cac08ebbf3a34a95d9b1e4a59d6"},
     {file = "docutils-0.20.1.tar.gz", hash = "sha256:f08a4e276c3a1583a86dce3e34aba3fe04d02bba2dd51ed16106244e8a923e3b"},
@@ -886,6 +922,7 @@ version = "0.9"
 description = "Module for converting between datetime.timedelta and Go's Duration strings."
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "durationpy-0.9-py3-none-any.whl", hash = "sha256:e65359a7af5cedad07fb77a2dd3f390f8eb0b74cb845589fa6c057086834dd38"},
     {file = "durationpy-0.9.tar.gz", hash = "sha256:fd3feb0a69a0057d582ef643c355c40d2fa1c942191f914d12203b1a01ac722a"},
@@ -897,6 +934,8 @@ version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "test"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
     {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
@@ -911,13 +950,14 @@ version = "1.2.0"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
 python-versions = "*"
+groups = ["main", "test"]
 files = [
     {file = "executing-1.2.0-py2.py3-none-any.whl", hash = "sha256:0314a69e37426e3608aada02473b4161d4caf5a4b244d1d0c48072b8fee7bacc"},
     {file = "executing-1.2.0.tar.gz", hash = "sha256:19da64c18d2d851112f09c287f8d3dbbdf725ab0e569077efb6cdcbd3497c107"},
 ]
 
 [package.extras]
-tests = ["asttokens", "littleutils", "pytest", "rich"]
+tests = ["asttokens", "littleutils", "pytest", "rich ; python_version >= \"3.11\""]
 
 [[package]]
 name = "fastjsonschema"
@@ -925,6 +965,7 @@ version = "2.20.0"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
+groups = ["test"]
 files = [
     {file = "fastjsonschema-2.20.0-py3-none-any.whl", hash = "sha256:5875f0b0fa7a0043a91e93a9b8f793bcbbba9691e7fd83dca95c28ba26d21f0a"},
     {file = "fastjsonschema-2.20.0.tar.gz", hash = "sha256:3d48fc5300ee96f5d116f10fe6f28d938e6008f59a6a025c2649475b87f76a23"},
@@ -939,6 +980,7 @@ version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
     {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
@@ -947,7 +989,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
-typing = ["typing-extensions (>=4.12.2)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
 [[package]]
 name = "fqdn"
@@ -955,6 +997,7 @@ version = "1.5.1"
 description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
 optional = false
 python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
+groups = ["test"]
 files = [
     {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"},
     {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"},
@@ -966,6 +1009,7 @@ version = "1.4.1"
 description = "A list-like structure which implements collections.abc.MutableSequence"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"},
     {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:29acab3f66f0f24674b7dc4736477bcd4bc3ad4b896f5f45379a67bce8b96868"},
@@ -1052,6 +1096,7 @@ version = "2024.9.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"},
     {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"},
@@ -1091,6 +1136,7 @@ version = "2.20.0"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "google_api_core-2.20.0-py3-none-any.whl", hash = "sha256:ef0591ef03c30bb83f79b3d0575c3f31219001fc9c5cf37024d08310aeffed8a"},
     {file = "google_api_core-2.20.0.tar.gz", hash = "sha256:f74dff1889ba291a4b76c5079df0711810e2d9da81abfdc99957bc961c1eb28f"},
@@ -1104,7 +1150,7 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
 requests = ">=2.18.0,<3.0.0.dev0"
 
 [package.extras]
-grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0)"]
+grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0) ; python_version >= \"3.11\""]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
@@ -1114,6 +1160,7 @@ version = "2.35.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "google_auth-2.35.0-py2.py3-none-any.whl", hash = "sha256:25df55f327ef021de8be50bad0dfd4a916ad0de96da86cd05661c9297723ad3f"},
     {file = "google_auth-2.35.0.tar.gz", hash = "sha256:f4c64ed4e01e8e8b646ef34c018f8bf3338df0c8e37d8b3bba40e7f574a3278a"},
@@ -1137,6 +1184,7 @@ version = "1.65.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "googleapis_common_protos-1.65.0-py2.py3-none-any.whl", hash = "sha256:2972e6c496f435b92590fd54045060867f3fe9be2c82ab148fc8885035479a63"},
     {file = "googleapis_common_protos-1.65.0.tar.gz", hash = "sha256:334a29d07cddc3aa01dee4988f9afd9b2916ee2ff49d6b757155dc0d197852c0"},
@@ -1154,6 +1202,7 @@ version = "1.66.2"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "grpcio-1.66.2-cp310-cp310-linux_armv7l.whl", hash = "sha256:fe96281713168a3270878255983d2cb1a97e034325c8c2c25169a69289d3ecfa"},
     {file = "grpcio-1.66.2-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:73fc8f8b9b5c4a03e802b3cd0c18b2b06b410d3c1dcbef989fdeb943bd44aff7"},
@@ -1221,6 +1270,7 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
@@ -1232,6 +1282,7 @@ version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
     {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
@@ -1253,6 +1304,7 @@ version = "0.27.2"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "httpx-0.27.2-py3-none-any.whl", hash = "sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
     {file = "httpx-0.27.2.tar.gz", hash = "sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
@@ -1266,7 +1318,7 @@ idna = "*"
 sniffio = "*"
 
 [package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
@@ -1278,6 +1330,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "docs", "test"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -1292,6 +1345,7 @@ version = "1.4.1"
 description = "Getting image size from png/jpeg/jpeg2000/gif file"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["docs"]
 files = [
     {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"},
     {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"},
@@ -1303,6 +1357,8 @@ version = "8.5.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs", "test"]
+markers = "python_version == \"3.9\""
 files = [
     {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
     {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
@@ -1312,12 +1368,12 @@ files = [
 zipp = ">=3.20"
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
@@ -1326,6 +1382,7 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -1337,6 +1394,7 @@ version = "6.29.5"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"},
     {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"},
@@ -1370,6 +1428,7 @@ version = "8.18.1"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "test"]
 files = [
     {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"},
     {file = "ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27"},
@@ -1407,6 +1466,7 @@ version = "8.1.2"
 description = "Jupyter interactive widgets"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "ipywidgets-8.1.2-py3-none-any.whl", hash = "sha256:bbe43850d79fb5e906b14801d6c01402857996864d1e5b6fa62dd2ee35559f60"},
     {file = "ipywidgets-8.1.2.tar.gz", hash = "sha256:d0b9b41e49bae926a866e613a39b0f0097745d2b9f1f3dd406641b4a57ec42c9"},
@@ -1428,6 +1488,7 @@ version = "20.11.0"
 description = "Operations with ISO 8601 durations"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"},
     {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"},
@@ -1442,6 +1503,7 @@ version = "0.19.1"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "test"]
 files = [
     {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
     {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
@@ -1461,10 +1523,12 @@ version = "3.1.5"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "docs", "test"]
 files = [
     {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
     {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
 ]
+markers = {main = "sys_platform != \"win32\""}
 
 [package.dependencies]
 MarkupSafe = ">=2.0"
@@ -1478,6 +1542,7 @@ version = "0.9.25"
 description = "A Python implementation of the JSON5 data format."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"},
     {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"},
@@ -1489,6 +1554,7 @@ version = "3.0.0"
 description = "Identify specific nodes in a JSON document (RFC 6901)"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"},
     {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
@@ -1500,6 +1566,7 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
     {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
@@ -1529,6 +1596,7 @@ version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
     {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
@@ -1543,6 +1611,7 @@ version = "8.6.3"
 description = "Jupyter protocol implementation and client libraries"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f"},
     {file = "jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419"},
@@ -1558,7 +1627,7 @@ traitlets = ">=5.3"
 
 [package.extras]
 docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
+test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko ; sys_platform == \"win32\"", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-core"
@@ -1566,6 +1635,7 @@ version = "5.7.2"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"},
     {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"},
@@ -1586,6 +1656,7 @@ version = "0.10.0"
 description = "Jupyter Event System library"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "jupyter_events-0.10.0-py3-none-any.whl", hash = "sha256:4b72130875e59d57716d327ea70d3ebc3af1944d3717e5a498b8a06c6c159960"},
     {file = "jupyter_events-0.10.0.tar.gz", hash = "sha256:670b8229d3cc882ec782144ed22e0d29e1c2d639263f92ca8383e66682845e22"},
@@ -1611,6 +1682,7 @@ version = "2.2.5"
 description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "jupyter-lsp-2.2.5.tar.gz", hash = "sha256:793147a05ad446f809fd53ef1cd19a9f5256fd0a2d6b7ce943a982cb4f545001"},
     {file = "jupyter_lsp-2.2.5-py3-none-any.whl", hash = "sha256:45fbddbd505f3fbfb0b6cb2f1bc5e15e83ab7c79cd6e89416b248cb3c00c11da"},
@@ -1626,6 +1698,7 @@ version = "2.14.2"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"},
     {file = "jupyter_server-2.14.2.tar.gz", hash = "sha256:66095021aa9638ced276c248b1d81862e4c50f292d575920bbe960de1c56b12b"},
@@ -1662,6 +1735,7 @@ version = "0.5.3"
 description = "A Jupyter Server Extension Providing Terminals."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = "sha256:41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa"},
     {file = "jupyter_server_terminals-0.5.3.tar.gz", hash = "sha256:5ae0295167220e9ace0edcfdb212afd2b01ee8d179fe6f23c899590e9b8a5269"},
@@ -1681,6 +1755,7 @@ version = "4.3.1"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "jupyterlab-4.3.1-py3-none-any.whl", hash = "sha256:2d9a1c305bc748e277819a17a5d5e22452e533e835f4237b2f30f3b0e491e01f"},
     {file = "jupyterlab-4.3.1.tar.gz", hash = "sha256:a4a338327556443521731d82f2a6ccf926df478914ca029616621704d47c3c65"},
@@ -1716,6 +1791,7 @@ version = "0.3.0"
 description = "Pygments theme using JupyterLab CSS variables"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"},
     {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"},
@@ -1727,6 +1803,7 @@ version = "2.27.3"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4"},
     {file = "jupyterlab_server-2.27.3.tar.gz", hash = "sha256:eb36caca59e74471988f0ae25c77945610b887f777255aa21f8065def9e51ed4"},
@@ -1753,6 +1830,7 @@ version = "3.0.13"
 description = "Jupyter interactive widgets for JupyterLab"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "jupyterlab_widgets-3.0.13-py3-none-any.whl", hash = "sha256:e3cda2c233ce144192f1e29914ad522b2f4c40e77214b0cc97377ca3d323db54"},
     {file = "jupyterlab_widgets-3.0.13.tar.gz", hash = "sha256:a2966d385328c1942b683a8cd96b89b8dd82c8b8f81dda902bb2bc06d46f5bed"},
@@ -1764,6 +1842,7 @@ version = "31.0.0"
 description = "Kubernetes python client"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "kubernetes-31.0.0-py2.py3-none-any.whl", hash = "sha256:bf141e2d380c8520eada8b351f4e319ffee9636328c137aa432bc486ca1200e1"},
     {file = "kubernetes-31.0.0.tar.gz", hash = "sha256:28945de906c8c259c1ebe62703b56a03b714049372196f854105afe4e6d014c0"},
@@ -1791,6 +1870,7 @@ version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
     {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
@@ -1815,6 +1895,7 @@ version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "docs", "test"]
 files = [
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
     {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
@@ -1877,6 +1958,7 @@ files = [
     {file = "MarkupSafe-2.1.5-cp39-cp39-win_amd64.whl", hash = "sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5"},
     {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"},
 ]
+markers = {main = "sys_platform != \"win32\""}
 
 [[package]]
 name = "matplotlib-inline"
@@ -1884,6 +1966,7 @@ version = "0.1.7"
 description = "Inline Matplotlib backend for Jupyter"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"},
     {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"},
@@ -1898,6 +1981,7 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -1909,6 +1993,8 @@ version = "1.10.0"
 description = "A memory profiler for Python applications"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main"]
+markers = "sys_platform != \"win32\""
 files = [
     {file = "memray-1.10.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:843a688877691746f9d1835cfa8a65139948471bdd78720435808d20bc30a1cc"},
     {file = "memray-1.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6937d7ef67d18ccc01c3250cdf3b4ef1445b859ee8756f09e3d11bd3ff0c7d67"},
@@ -1953,10 +2039,10 @@ rich = ">=11.2.0"
 
 [package.extras]
 benchmark = ["asv"]
-dev = ["Cython", "IPython", "asv", "black", "bump2version", "check-manifest", "flake8", "furo", "greenlet", "ipython", "isort", "mypy", "pytest", "pytest-cov", "setuptools", "sphinx", "sphinx-argparse", "towncrier"]
+dev = ["Cython", "IPython", "asv", "black", "bump2version", "check-manifest", "flake8", "furo", "greenlet ; python_version < \"3.12\"", "ipython", "isort", "mypy", "pytest", "pytest-cov", "setuptools ; python_version >= \"3.12\"", "sphinx", "sphinx-argparse", "towncrier"]
 docs = ["IPython", "bump2version", "furo", "sphinx", "sphinx-argparse", "towncrier"]
 lint = ["black", "check-manifest", "flake8", "isort", "mypy"]
-test = ["Cython", "greenlet", "ipython", "pytest", "pytest-cov", "setuptools"]
+test = ["Cython", "greenlet ; python_version < \"3.12\"", "ipython", "pytest", "pytest-cov", "setuptools ; python_version >= \"3.12\""]
 
 [[package]]
 name = "mistune"
@@ -1964,6 +2050,7 @@ version = "3.0.2"
 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"},
     {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"},
@@ -1975,6 +2062,7 @@ version = "1.1.0"
 description = "MessagePack serializer"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "msgpack-1.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7ad442d527a7e358a469faf43fda45aaf4ac3249c8310a82f0ccff9164e5dccd"},
     {file = "msgpack-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:74bed8f63f8f14d75eec75cf3d04ad581da6b914001b474a5d3cd3372c8cc27d"},
@@ -2048,6 +2136,7 @@ version = "6.1.0"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
@@ -2152,6 +2241,7 @@ version = "0.10.0"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["test"]
 files = [
     {file = "nbclient-0.10.0-py3-none-any.whl", hash = "sha256:f13e3529332a1f1f81d82a53210322476a168bb7090a0289c795fe9cc11c9d3f"},
     {file = "nbclient-0.10.0.tar.gz", hash = "sha256:4b3f1b7dba531e498449c4db4f53da339c91d449dc11e9af3a43b4eb5c5abb09"},
@@ -2174,6 +2264,7 @@ version = "7.16.4"
 description = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "nbconvert-7.16.4-py3-none-any.whl", hash = "sha256:05873c620fe520b6322bf8a5ad562692343fe3452abda5765c7a34b7d1aa3eb3"},
     {file = "nbconvert-7.16.4.tar.gz", hash = "sha256:86ca91ba266b0a448dc96fa6c5b9d98affabde2867b363258703536807f9f7f4"},
@@ -2212,6 +2303,7 @@ version = "5.10.4"
 description = "The Jupyter Notebook format"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"},
     {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"},
@@ -2233,6 +2325,7 @@ version = "1.6.0"
 description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
+groups = ["test"]
 files = [
     {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
     {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
@@ -2244,6 +2337,7 @@ version = "0.2.4"
 description = "A shim layer for notebook traits and config"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"},
     {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"},
@@ -2261,6 +2355,7 @@ version = "2.0.2"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "numpy-2.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:51129a29dbe56f9ca83438b706e2e69a39892b5eda6cedcb6b0c9fdc9b0d3ece"},
     {file = "numpy-2.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f15975dfec0cf2239224d80e32c3170b1d168335eaedee69da84fbe9f1f9cd04"},
@@ -2315,6 +2410,7 @@ version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
     {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
@@ -2331,6 +2427,7 @@ version = "0.11.4"
 description = "A stats collection and distributed tracing framework"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "opencensus-0.11.4-py2.py3-none-any.whl", hash = "sha256:a18487ce68bc19900336e0ff4655c5a116daf10c1b3685ece8d971bddad6a864"},
     {file = "opencensus-0.11.4.tar.gz", hash = "sha256:cbef87d8b8773064ab60e5c2a1ced58bbaa38a6d052c41aec224958ce544eff2"},
@@ -2347,6 +2444,7 @@ version = "0.1.3"
 description = "OpenCensus Runtime Context"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "opencensus-context-0.1.3.tar.gz", hash = "sha256:a03108c3c10d8c80bb5ddf5c8a1f033161fa61972a9917f9b9b3a18517f0088c"},
     {file = "opencensus_context-0.1.3-py2.py3-none-any.whl", hash = "sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039"},
@@ -2358,6 +2456,7 @@ version = "1.0.18"
 description = "OpenShift python client"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "openshift-client-1.0.18.tar.gz", hash = "sha256:be3979440cfd96788146a3a1650dabe939d4d516eea0b39f87e66d2ab39495b1"},
     {file = "openshift_client-1.0.18-py2.py3-none-any.whl", hash = "sha256:d8a84080307ccd9556f6c62a3707a3e6507baedee36fa425754f67db9ded528b"},
@@ -2374,6 +2473,7 @@ version = "7.7.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
 optional = false
 python-versions = ">=3.6"
+groups = ["test"]
 files = [
     {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"},
     {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"},
@@ -2385,6 +2485,7 @@ version = "24.1"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "docs", "test"]
 files = [
     {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"},
     {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
@@ -2396,6 +2497,7 @@ version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
     {file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"},
     {file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"},
@@ -2482,6 +2584,7 @@ version = "1.5.1"
 description = "Utilities for writing pandoc filters in python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+groups = ["test"]
 files = [
     {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"},
     {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"},
@@ -2493,6 +2596,7 @@ version = "3.5.0"
 description = "SSH2 protocol library"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "paramiko-3.5.0-py3-none-any.whl", hash = "sha256:1fedf06b085359051cd7d0d270cebe19e755a8a921cc2ddbfa647fb0cd7d68f9"},
     {file = "paramiko-3.5.0.tar.gz", hash = "sha256:ad11e540da4f55cedda52931f1a3f812a8238a7af7f62a60de538cd80bb28124"},
@@ -2504,8 +2608,8 @@ cryptography = ">=3.3"
 pynacl = ">=1.5"
 
 [package.extras]
-all = ["gssapi (>=1.4.1)", "invoke (>=2.0)", "pyasn1 (>=0.1.7)", "pywin32 (>=2.1.8)"]
-gssapi = ["gssapi (>=1.4.1)", "pyasn1 (>=0.1.7)", "pywin32 (>=2.1.8)"]
+all = ["gssapi (>=1.4.1) ; platform_system != \"Windows\"", "invoke (>=2.0)", "pyasn1 (>=0.1.7)", "pywin32 (>=2.1.8) ; platform_system == \"Windows\""]
+gssapi = ["gssapi (>=1.4.1) ; platform_system != \"Windows\"", "pyasn1 (>=0.1.7)", "pywin32 (>=2.1.8) ; platform_system == \"Windows\""]
 invoke = ["invoke (>=2.0)"]
 
 [[package]]
@@ -2514,6 +2618,7 @@ version = "0.8.4"
 description = "A Python Parser"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "test"]
 files = [
     {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"},
     {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"},
@@ -2529,6 +2634,8 @@ version = "4.9.0"
 description = "Pexpect allows easy control of interactive console applications."
 optional = false
 python-versions = "*"
+groups = ["main", "test"]
+markers = "sys_platform != \"win32\""
 files = [
     {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
     {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
@@ -2543,6 +2650,7 @@ version = "4.3.6"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "platformdirs-4.3.6-py3-none-any.whl", hash = "sha256:73e575e1408ab8103900836b97580d5307456908a03e92031bab39e4554cc3fb"},
     {file = "platformdirs-4.3.6.tar.gz", hash = "sha256:357fb2acbc885b0419afd3ce3ed34564c13c9b95c89360cd9563f73aa5e2b907"},
@@ -2559,6 +2667,7 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -2574,6 +2683,7 @@ version = "0.21.0"
 description = "Python client for the Prometheus monitoring system."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "prometheus_client-0.21.0-py3-none-any.whl", hash = "sha256:4fa6b4dd0ac16d58bb587c04b1caae65b8c5043e85f778f42f5f632f6af2e166"},
     {file = "prometheus_client-0.21.0.tar.gz", hash = "sha256:96c83c606b71ff2b0a433c98889d275f51ffec6c5e267de37c7a2b5c9aa9233e"},
@@ -2588,6 +2698,7 @@ version = "3.0.48"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.7.0"
+groups = ["main", "test"]
 files = [
     {file = "prompt_toolkit-3.0.48-py3-none-any.whl", hash = "sha256:f49a827f90062e411f1ce1f854f2aedb3c23353244f8108b89283587397ac10e"},
     {file = "prompt_toolkit-3.0.48.tar.gz", hash = "sha256:d6623ab0477a80df74e646bdbc93621143f5caf104206aa29294d53de1a03d90"},
@@ -2602,6 +2713,7 @@ version = "1.24.0"
 description = "Beautiful, Pythonic protocol buffers."
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "proto-plus-1.24.0.tar.gz", hash = "sha256:30b72a5ecafe4406b0d339db35b56c4059064e69227b8c3bda7462397f966445"},
     {file = "proto_plus-1.24.0-py3-none-any.whl", hash = "sha256:402576830425e5f6ce4c2a6702400ac79897dab0b4343821aa5188b0fab81a12"},
@@ -2619,6 +2731,7 @@ version = "5.28.2"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "protobuf-5.28.2-cp310-abi3-win32.whl", hash = "sha256:eeea10f3dc0ac7e6b4933d32db20662902b4ab81bf28df12218aa389e9c2102d"},
     {file = "protobuf-5.28.2-cp310-abi3-win_amd64.whl", hash = "sha256:2c69461a7fcc8e24be697624c09a839976d82ae75062b11a0972e41fd2cd9132"},
@@ -2639,6 +2752,7 @@ version = "6.0.0"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["test"]
 files = [
     {file = "psutil-6.0.0-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a021da3e881cd935e64a3d0a20983bda0bb4cf80e4f74fa9bfcb1bc5785360c6"},
     {file = "psutil-6.0.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:1287c2b95f1c0a364d23bc6f2ea2365a8d4d9b726a3be7294296ff7ba97c17f0"},
@@ -2660,7 +2774,7 @@ files = [
 ]
 
 [package.extras]
-test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
+test = ["enum34 ; python_version <= \"3.4\"", "ipaddress ; python_version < \"3.0\"", "mock ; python_version < \"3.0\"", "pywin32 ; sys_platform == \"win32\"", "wmi ; sys_platform == \"win32\""]
 
 [[package]]
 name = "ptyprocess"
@@ -2668,10 +2782,12 @@ version = "0.7.0"
 description = "Run a subprocess in a pseudo terminal"
 optional = false
 python-versions = "*"
+groups = ["main", "test"]
 files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
 ]
+markers = {main = "sys_platform != \"win32\"", test = "sys_platform != \"win32\" or os_name != \"nt\""}
 
 [[package]]
 name = "pure-eval"
@@ -2679,6 +2795,7 @@ version = "0.2.3"
 description = "Safely evaluate AST nodes without side effects"
 optional = false
 python-versions = "*"
+groups = ["main", "test"]
 files = [
     {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"},
     {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"},
@@ -2693,6 +2810,7 @@ version = "0.3.14"
 description = "Sampling profiler for Python programs"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "py_spy-0.3.14-py2.py3-none-macosx_10_7_x86_64.whl", hash = "sha256:5b342cc5feb8d160d57a7ff308de153f6be68dcf506ad02b4d67065f2bae7f45"},
     {file = "py_spy-0.3.14-py2.py3-none-macosx_10_9_x86_64.macosx_11_0_arm64.macosx_10_9_universal2.whl", hash = "sha256:fe7efe6c91f723442259d428bf1f9ddb9c1679828866b353d539345ca40d9dd2"},
@@ -2709,6 +2827,7 @@ version = "17.0.0"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pyarrow-17.0.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:a5c8b238d47e48812ee577ee20c9a2779e6a5904f1708ae240f53ecbee7c9f07"},
     {file = "pyarrow-17.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:db023dc4c6cae1015de9e198d41250688383c3f9af8f565370ab2b4cb5f62655"},
@@ -2760,6 +2879,7 @@ version = "0.6.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
     {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
@@ -2771,6 +2891,7 @@ version = "0.4.1"
 description = "A collection of ASN.1-based protocols modules"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "pyasn1_modules-0.4.1-py3-none-any.whl", hash = "sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"},
     {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"},
@@ -2785,6 +2906,7 @@ version = "2.22"
 description = "C parser in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
     {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
@@ -2796,6 +2918,7 @@ version = "1.10.18"
 description = "Data validation and settings management using python type hints"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "pydantic-1.10.18-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e405ffcc1254d76bb0e760db101ee8916b620893e6edfbfee563b3c6f7a67c02"},
     {file = "pydantic-1.10.18-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e306e280ebebc65040034bff1a0a81fd86b2f4f05daac0131f29541cafd80b80"},
@@ -2855,6 +2978,7 @@ version = "2.18.0"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "docs", "test"]
 files = [
     {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
     {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
@@ -2869,6 +2993,7 @@ version = "1.5.0"
 description = "Python binding to the Networking and Cryptography (NaCl) library"
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "PyNaCl-1.5.0-cp36-abi3-macosx_10_10_universal2.whl", hash = "sha256:401002a4aaa07c9414132aaed7f6836ff98f59277a234704ff66878c2ee4a0d1"},
     {file = "PyNaCl-1.5.0-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:52cb72a79269189d4e0dc537556f4740f7f0a9ec41c1322598799b0bdad4ef92"},
@@ -2895,6 +3020,7 @@ version = "7.4.0"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "pytest-7.4.0-py3-none-any.whl", hash = "sha256:78bf16451a2eb8c7a2ea98e32dc119fd2aa758f1d5d66dbf0a59d69a3969df32"},
     {file = "pytest-7.4.0.tar.gz", hash = "sha256:b4bf8c45bd59934ed84001ad51e11b4ee40d40a1229d2c79f9c592b0a3f6bd8a"},
@@ -2917,6 +3043,7 @@ version = "3.11.1"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "pytest-mock-3.11.1.tar.gz", hash = "sha256:7f6b125602ac6d743e523ae0bfa71e1a697a2f5534064528c6ff84c2f7c2fc7f"},
     {file = "pytest_mock-3.11.1-py3-none-any.whl", hash = "sha256:21c279fff83d70763b05f8874cc9cfb3fcacd6d354247a976f9529d19f9acf39"},
@@ -2934,6 +3061,7 @@ version = "2.3.1"
 description = "pytest plugin to abort hanging tests"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "pytest-timeout-2.3.1.tar.gz", hash = "sha256:12397729125c6ecbdaca01035b9e5239d4db97352320af155b3f5de1ba5165d9"},
     {file = "pytest_timeout-2.3.1-py3-none-any.whl", hash = "sha256:68188cb703edfc6a18fad98dc25a3c61e9f24d644b0b70f33af545219fc7813e"},
@@ -2948,6 +3076,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["main", "test"]
 files = [
     {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
     {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
@@ -2962,6 +3091,7 @@ version = "2.0.7"
 description = "A python library adding a json log formatter"
 optional = false
 python-versions = ">=3.6"
+groups = ["test"]
 files = [
     {file = "python-json-logger-2.0.7.tar.gz", hash = "sha256:23e7ec02d34237c5aa1e29a070193a4ea87583bb4e7f8fd06d3de8264c4b2e1c"},
     {file = "python_json_logger-2.0.7-py3-none-any.whl", hash = "sha256:f380b826a991ebbe3de4d897aeec42760035ac760345e57b812938dc8b35e2bd"},
@@ -2973,6 +3103,7 @@ version = "2024.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
+groups = ["main"]
 files = [
     {file = "pytz-2024.2-py2.py3-none-any.whl", hash = "sha256:31c7c1817eb7fae7ca4b8c7ee50c72f93aa2dd863de768e1ef4245d426aa0725"},
     {file = "pytz-2024.2.tar.gz", hash = "sha256:2aa355083c50a0f93fa581709deac0c9ad65cca8a9e9beac660adcbd493c798a"},
@@ -2984,6 +3115,8 @@ version = "306"
 description = "Python for Window Extensions"
 optional = false
 python-versions = "*"
+groups = ["test"]
+markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "pywin32-306-cp310-cp310-win32.whl", hash = "sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d"},
     {file = "pywin32-306-cp310-cp310-win_amd64.whl", hash = "sha256:84f4471dbca1887ea3803d8848a1616429ac94a4a8d05f4bc9c5dcfd42ca99c8"},
@@ -3007,6 +3140,8 @@ version = "2.0.13"
 description = "Pseudo terminal support for Windows from Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
+markers = "os_name == \"nt\""
 files = [
     {file = "pywinpty-2.0.13-cp310-none-win_amd64.whl", hash = "sha256:697bff211fb5a6508fee2dc6ff174ce03f34a9a233df9d8b5fe9c8ce4d5eaf56"},
     {file = "pywinpty-2.0.13-cp311-none-win_amd64.whl", hash = "sha256:b96fb14698db1284db84ca38c79f15b4cfdc3172065b5137383910567591fa99"},
@@ -3022,6 +3157,7 @@ version = "6.0.2"
 description = "YAML parser and emitter for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0a9a2848a5b7feac301353437eb7d5957887edbf81d56e903999a75a3d743086"},
     {file = "PyYAML-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:29717114e51c84ddfba879543fb232a6ed60086602313ca38cce623c1d62cfbf"},
@@ -3084,6 +3220,7 @@ version = "26.2.0"
 description = "Python bindings for 0MQ"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:ddf33d97d2f52d89f6e6e7ae66ee35a4d9ca6f36eda89c24591b0c40205a3629"},
     {file = "pyzmq-26.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dacd995031a01d16eec825bf30802fceb2c3791ef24bcce48fa98ce40918c27b"},
@@ -3205,6 +3342,7 @@ version = "2.35.0"
 description = "Ray provides a simple, universal API for building distributed applications."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "ray-2.35.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:1e7e2d2e987be728a81821b6fd2bccb23e4d8a6cca8417db08b24f06a08d8476"},
     {file = "ray-2.35.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8bd48be4c362004d31e5df072fd58b929efc67adfefc0adece41483b15f84539"},
@@ -3259,18 +3397,18 @@ smart-open = {version = "*", optional = true, markers = "extra == \"default\""}
 virtualenv = {version = ">=20.0.24,<20.21.1 || >20.21.1", optional = true, markers = "extra == \"default\""}
 
 [package.extras]
-adag = ["cupy-cuda12x"]
-air = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-all = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x", "dm-tree", "fastapi", "fsspec", "grpcio (!=1.56.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "gymnasium (==0.28.1)", "lz4", "memray", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-all-cpp = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x", "dm-tree", "fastapi", "fsspec", "grpcio (!=1.56.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "gymnasium (==0.28.1)", "lz4", "memray", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "ray-cpp (==2.35.0)", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+adag = ["cupy-cuda12x ; sys_platform != \"darwin\""]
+air = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+all = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio (!=1.56.0)", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==0.28.1)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+all-cpp = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio (!=1.56.0)", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==0.28.1)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "ray-cpp (==2.35.0)", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
 client = ["grpcio (!=1.56.0)"]
 cpp = ["ray-cpp (==2.35.0)"]
 data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=6.0.1)"]
-default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,!=20.21.1)"]
+default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "memray ; sys_platform != \"win32\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,!=20.21.1)"]
 observability = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
 rllib = ["dm-tree", "fsspec", "gymnasium (==0.28.1)", "lz4", "pandas", "pyarrow (>=6.0.1)", "pyyaml", "requests", "rich", "scikit-image", "scipy", "tensorboardX (>=1.9)", "typer"]
-serve = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+serve = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "memray ; sys_platform != \"win32\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "memray ; sys_platform != \"win32\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
 train = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
 tune = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
 
@@ -3280,6 +3418,7 @@ version = "0.35.1"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"},
     {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"},
@@ -3295,6 +3434,7 @@ version = "2.32.3"
 description = "Python HTTP for Humans."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "docs", "test"]
 files = [
     {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"},
     {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"},
@@ -3316,6 +3456,7 @@ version = "2.0.0"
 description = "OAuthlib authentication support for Requests."
 optional = false
 python-versions = ">=3.4"
+groups = ["main"]
 files = [
     {file = "requests-oauthlib-2.0.0.tar.gz", hash = "sha256:b3dffaebd884d8cd778494369603a9e7b58d29111bf6b41bdc2dcd87203af4e9"},
     {file = "requests_oauthlib-2.0.0-py2.py3-none-any.whl", hash = "sha256:7dd8a5c40426b779b0868c404bdef9768deccf22749cde15852df527e6269b36"},
@@ -3334,6 +3475,7 @@ version = "0.1.4"
 description = "A pure python RFC3339 validator"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["test"]
 files = [
     {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"},
     {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"},
@@ -3348,6 +3490,7 @@ version = "0.1.1"
 description = "Pure python rfc3986 validator"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["test"]
 files = [
     {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"},
     {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"},
@@ -3359,6 +3502,7 @@ version = "13.9.4"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["main"]
 files = [
     {file = "rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90"},
     {file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"},
@@ -3378,6 +3522,7 @@ version = "0.20.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "rpds_py-0.20.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3ad0fda1635f8439cde85c700f964b23ed5fc2d28016b32b9ee5fe30da5c84e2"},
     {file = "rpds_py-0.20.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9bb4a0d90fdb03437c109a17eade42dfbf6190408f29b2744114d11586611d6f"},
@@ -3490,6 +3635,7 @@ version = "4.9"
 description = "Pure-Python RSA implementation"
 optional = false
 python-versions = ">=3.6,<4"
+groups = ["main"]
 files = [
     {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
     {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
@@ -3504,15 +3650,16 @@ version = "1.8.3"
 description = "Send file to trash natively under Mac OS X, Windows and Linux"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+groups = ["test"]
 files = [
     {file = "Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9"},
     {file = "Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf"},
 ]
 
 [package.extras]
-nativelib = ["pyobjc-framework-Cocoa", "pywin32"]
-objc = ["pyobjc-framework-Cocoa"]
-win32 = ["pywin32"]
+nativelib = ["pyobjc-framework-Cocoa ; sys_platform == \"darwin\"", "pywin32 ; sys_platform == \"win32\""]
+objc = ["pyobjc-framework-Cocoa ; sys_platform == \"darwin\""]
+win32 = ["pywin32 ; sys_platform == \"win32\""]
 
 [[package]]
 name = "setuptools"
@@ -3520,19 +3667,20 @@ version = "75.1.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "setuptools-75.1.0-py3-none-any.whl", hash = "sha256:35ab7fd3bcd95e6b7fd704e4a1539513edad446c097797f2985e0e4b960772f2"},
     {file = "setuptools-75.1.0.tar.gz", hash = "sha256:d59a21b17a275fb872a9c3dae73963160ae079f1049ed956880cd7c09b120538"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.5.2)"]
-core = ["importlib-metadata (>=6)", "importlib-resources (>=5.10.2)", "jaraco.collections", "jaraco.functools", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.5.2) ; sys_platform != \"cygwin\""]
+core = ["importlib-metadata (>=6) ; python_version < \"3.10\"", "importlib-resources (>=5.10.2) ; python_version < \"3.9\"", "jaraco.collections", "jaraco.functools", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib-metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.11.*)", "pytest-mypy"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib-metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.11.*)", "pytest-mypy"]
 
 [[package]]
 name = "six"
@@ -3540,6 +3688,7 @@ version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+groups = ["main", "test"]
 files = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
@@ -3551,6 +3700,7 @@ version = "7.0.4"
 description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
 optional = false
 python-versions = "<4.0,>=3.7"
+groups = ["main"]
 files = [
     {file = "smart_open-7.0.4-py3-none-any.whl", hash = "sha256:4e98489932b3372595cddc075e6033194775165702887216b65eba760dfd8d47"},
     {file = "smart_open-7.0.4.tar.gz", hash = "sha256:62b65852bdd1d1d516839fcb1f6bc50cd0f16e05b4ec44b52f43d38bcb838524"},
@@ -3576,6 +3726,7 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"},
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
@@ -3587,6 +3738,7 @@ version = "2.2.0"
 description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
 optional = false
 python-versions = "*"
+groups = ["docs"]
 files = [
     {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
     {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
@@ -3598,6 +3750,7 @@ version = "2.6"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"},
     {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
@@ -3609,6 +3762,7 @@ version = "7.4.7"
 description = "Python documentation generator"
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
 files = [
     {file = "sphinx-7.4.7-py3-none-any.whl", hash = "sha256:c2419e2135d11f1951cd994d6eb18a1835bd8fdd8429f9ca375dc1f3281bd239"},
     {file = "sphinx-7.4.7.tar.gz", hash = "sha256:242f92a7ea7e6c5b406fdc2615413890ba9f699114a9c09192d7dfead2ee9cfe"},
@@ -3645,6 +3799,7 @@ version = "3.0.1"
 description = "Read the Docs theme for Sphinx"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs"]
 files = [
     {file = "sphinx_rtd_theme-3.0.1-py2.py3-none-any.whl", hash = "sha256:921c0ece75e90633ee876bd7b148cfaad136b481907ad154ac3669b6fc957916"},
     {file = "sphinx_rtd_theme-3.0.1.tar.gz", hash = "sha256:a4c5745d1b06dfcb80b7704fe532eb765b44065a8fad9851e4258c8804140703"},
@@ -3664,6 +3819,7 @@ version = "2.0.0"
 description = "sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books"
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
 files = [
     {file = "sphinxcontrib_applehelp-2.0.0-py3-none-any.whl", hash = "sha256:4cd3f0ec4ac5dd9c17ec65e9ab272c9b867ea77425228e68ecf08d6b28ddbdb5"},
     {file = "sphinxcontrib_applehelp-2.0.0.tar.gz", hash = "sha256:2f29ef331735ce958efa4734873f084941970894c6090408b079c61b2e1c06d1"},
@@ -3680,6 +3836,7 @@ version = "2.0.0"
 description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp documents"
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
 files = [
     {file = "sphinxcontrib_devhelp-2.0.0-py3-none-any.whl", hash = "sha256:aefb8b83854e4b0998877524d1029fd3e6879210422ee3780459e28a1f03a8a2"},
     {file = "sphinxcontrib_devhelp-2.0.0.tar.gz", hash = "sha256:411f5d96d445d1d73bb5d52133377b4248ec79db5c793ce7dbe59e074b4dd1ad"},
@@ -3696,6 +3853,7 @@ version = "2.1.0"
 description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
 files = [
     {file = "sphinxcontrib_htmlhelp-2.1.0-py3-none-any.whl", hash = "sha256:166759820b47002d22914d64a075ce08f4c46818e17cfc9470a9786b759b19f8"},
     {file = "sphinxcontrib_htmlhelp-2.1.0.tar.gz", hash = "sha256:c9e2916ace8aad64cc13a0d233ee22317f2b9025b9cf3295249fa985cc7082e9"},
@@ -3712,6 +3870,7 @@ version = "4.1"
 description = "Extension to include jQuery on newer Sphinx releases"
 optional = false
 python-versions = ">=2.7"
+groups = ["docs"]
 files = [
     {file = "sphinxcontrib-jquery-4.1.tar.gz", hash = "sha256:1620739f04e36a2c779f1a131a2dfd49b2fd07351bf1968ced074365933abc7a"},
     {file = "sphinxcontrib_jquery-4.1-py2.py3-none-any.whl", hash = "sha256:f936030d7d0147dd026a4f2b5a57343d233f1fc7b363f68b3d4f1cb0993878ae"},
@@ -3726,6 +3885,7 @@ version = "1.0.1"
 description = "A sphinx extension which renders display math in HTML via JavaScript"
 optional = false
 python-versions = ">=3.5"
+groups = ["docs"]
 files = [
     {file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"},
     {file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"},
@@ -3740,6 +3900,7 @@ version = "2.0.0"
 description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp documents"
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
 files = [
     {file = "sphinxcontrib_qthelp-2.0.0-py3-none-any.whl", hash = "sha256:b18a828cdba941ccd6ee8445dbe72ffa3ef8cbe7505d8cd1fa0d42d3f2d5f3eb"},
     {file = "sphinxcontrib_qthelp-2.0.0.tar.gz", hash = "sha256:4fe7d0ac8fc171045be623aba3e2a8f613f8682731f9153bb2e40ece16b9bbab"},
@@ -3756,6 +3917,7 @@ version = "2.0.0"
 description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)"
 optional = false
 python-versions = ">=3.9"
+groups = ["docs"]
 files = [
     {file = "sphinxcontrib_serializinghtml-2.0.0-py3-none-any.whl", hash = "sha256:6e2cb0eef194e10c27ec0023bfeb25badbbb5868244cf5bc5bdc04e4464bf331"},
     {file = "sphinxcontrib_serializinghtml-2.0.0.tar.gz", hash = "sha256:e9d912827f872c029017a53f0ef2180b327c3f7fd23c87229f7a8e8b70031d4d"},
@@ -3772,6 +3934,7 @@ version = "0.6.3"
 description = "Extract data from python stack frames and tracebacks for informative displays"
 optional = false
 python-versions = "*"
+groups = ["main", "test"]
 files = [
     {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
     {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
@@ -3791,6 +3954,7 @@ version = "0.18.1"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0"},
     {file = "terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e"},
@@ -3812,6 +3976,7 @@ version = "1.3.0"
 description = "A tiny CSS parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "tinycss2-1.3.0-py3-none-any.whl", hash = "sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7"},
     {file = "tinycss2-1.3.0.tar.gz", hash = "sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d"},
@@ -3830,6 +3995,8 @@ version = "2.0.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.7"
+groups = ["docs", "test"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
@@ -3841,6 +4008,7 @@ version = "6.4.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"},
     {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"},
@@ -3861,6 +4029,7 @@ version = "5.14.3"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
     {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
@@ -3876,6 +4045,7 @@ version = "2.9.0.20240906"
 description = "Typing stubs for python-dateutil"
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "types-python-dateutil-2.9.0.20240906.tar.gz", hash = "sha256:9706c3b68284c25adffc47319ecc7947e5bb86b3773f843c73906fd598bc176e"},
     {file = "types_python_dateutil-2.9.0.20240906-py3-none-any.whl", hash = "sha256:27c8cc2d058ccb14946eebcaaa503088f4f6dbc4fb6093d3d456a49aef2753f6"},
@@ -3887,10 +4057,12 @@ version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
+markers = {test = "python_version < \"3.11\""}
 
 [[package]]
 name = "tzdata"
@@ -3898,6 +4070,7 @@ version = "2024.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["main"]
 files = [
     {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
     {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
@@ -3909,6 +4082,7 @@ version = "1.3.0"
 description = "RFC 6570 URI Template Processor"
 optional = false
 python-versions = ">=3.7"
+groups = ["test"]
 files = [
     {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"},
     {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"},
@@ -3923,13 +4097,14 @@ version = "2.2.3"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "docs", "test"]
 files = [
     {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
     {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
@@ -3940,6 +4115,7 @@ version = "20.26.6"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "virtualenv-20.26.6-py3-none-any.whl", hash = "sha256:7345cc5b25405607a624d8418154577459c3e0277f5466dd79c49d5e492995f2"},
     {file = "virtualenv-20.26.6.tar.gz", hash = "sha256:280aede09a2a5c317e409a00102e7077c6432c5a38f0ef938e643805a7ad2c48"},
@@ -3952,7 +4128,7 @@ platformdirs = ">=3.9.1,<5"
 
 [package.extras]
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
-test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
+test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8) ; platform_python_implementation == \"PyPy\" or platform_python_implementation == \"CPython\" and sys_platform == \"win32\" and python_version >= \"3.13\"", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10) ; platform_python_implementation == \"CPython\""]
 
 [[package]]
 name = "wcwidth"
@@ -3960,6 +4136,7 @@ version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
+groups = ["main", "test"]
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
     {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -3971,6 +4148,7 @@ version = "24.8.0"
 description = "A library for working with the color formats defined by HTML and CSS."
 optional = false
 python-versions = ">=3.8"
+groups = ["test"]
 files = [
     {file = "webcolors-24.8.0-py3-none-any.whl", hash = "sha256:fc4c3b59358ada164552084a8ebee637c221e4059267d0f8325b3b560f6c7f0a"},
     {file = "webcolors-24.8.0.tar.gz", hash = "sha256:08b07af286a01bcd30d583a7acadf629583d1f79bfef27dd2c2c5c263817277d"},
@@ -3986,6 +4164,7 @@ version = "0.5.1"
 description = "Character encoding aliases for legacy web content"
 optional = false
 python-versions = "*"
+groups = ["test"]
 files = [
     {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
@@ -3997,6 +4176,7 @@ version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "test"]
 files = [
     {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
     {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
@@ -4013,6 +4193,7 @@ version = "4.0.13"
 description = "Jupyter interactive widgets for Jupyter Notebook"
 optional = false
 python-versions = ">=3.7"
+groups = ["main"]
 files = [
     {file = "widgetsnbextension-4.0.13-py3-none-any.whl", hash = "sha256:74b2692e8500525cc38c2b877236ba51d34541e6385eeed5aec15a70f88a6c71"},
     {file = "widgetsnbextension-4.0.13.tar.gz", hash = "sha256:ffcb67bc9febd10234a362795f643927f4e0c05d9342c727b65d2384f8feacb6"},
@@ -4024,6 +4205,7 @@ version = "1.16.0"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.6"
+groups = ["main"]
 files = [
     {file = "wrapt-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ffa565331890b90056c01db69c0fe634a776f8019c143a5ae265f9c6bc4bd6d4"},
     {file = "wrapt-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e4fdb9275308292e880dcbeb12546df7f3e0f96c6b41197e0cf37d2826359020"},
@@ -4103,6 +4285,7 @@ version = "1.13.1"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "yarl-1.13.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:82e692fb325013a18a5b73a4fed5a1edaa7c58144dc67ad9ef3d604eccd451ad"},
     {file = "yarl-1.13.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df4e82e68f43a07735ae70a2d84c0353e58e20add20ec0af611f32cd5ba43fb4"},
@@ -4208,20 +4391,22 @@ version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
+groups = ["docs", "test"]
+markers = "python_version == \"3.9\""
 files = [
     {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
     {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [metadata]
-lock-version = "2.0"
+lock-version = "2.1"
 python-versions = "^3.9"
 content-hash = "6e5e74183be00c02f89e0da419aec0b032025410f8d2ae8685263fb5bc38b911"

From 9b96745d5311312f22931fc2d6e20d6823739e38 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Thu, 6 Mar 2025 16:01:31 +0000
Subject: [PATCH 218/254] Update reference to Ray ROCm image

---
 docs/sphinx/user-docs/cluster-configuration.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index 9f9fdddb..82156b2f 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -41,7 +41,7 @@ requirements for creating the Ray Cluster.
   If you prefer to use a custom Ray image that better suits your
   needs, you can specify it in the image field to override the default.
   If you are using ROCm compatible GPUs you
-  can use `quay.io/modh/ray:2.35.0-py39-rocm61`. You can also find
+  can use `quay.io/modh/ray:2.35.0-py311-rocm62` or `quay.io/modh/ray:2.35.0-py39-rocm62`. You can also find
   documentation on building a custom image
   `here `__.
 

From ba4f6317c3a5ebc077f6688aba0e1dd217059fb9 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Fri, 2 May 2025 10:10:13 +0100
Subject: [PATCH 219/254] chore(RHOAIENG-24672): Update Ray to 2.44.1 and Py311
 Runtime image refs

---
 .../additional-demos/local_interactive.ipynb  |    2 +-
 .../additional-demos/ray_job_client.ipynb     |    2 +-
 demo-notebooks/guided-demos/0_basic_ray.ipynb |    2 +-
 .../guided-demos/1_cluster_job_client.ipynb   |    2 +-
 .../guided-demos/2_basic_interactive.ipynb    |    2 +-
 .../guided-demos/3_widget_example.ipynb       |    2 +-
 .../notebook-ex-outputs/0_basic_ray.ipynb     |    2 +-
 .../1_cluster_job_client.ipynb                |    2 +-
 .../2_basic_interactive.ipynb                 |    2 +-
 .../preview_nbs/0_basic_ray.ipynb             |    2 +-
 .../preview_nbs/1_cluster_job_client.ipynb    |    2 +-
 .../preview_nbs/2_basic_interactive.ipynb     |    2 +-
 .../user-docs/cluster-configuration.rst       |    2 +-
 poetry.lock                                   | 3297 ++++++++++-------
 pyproject.toml                                |    2 +-
 .../common/utils/unit_test_support.py         |    2 +-
 .../ray/cluster/build_ray_cluster.py          |    4 +-
 .../appwrapper/test-case-bad.yaml             |    2 +-
 .../appwrapper/unit-test-all-params.yaml      |    2 +-
 tests/test_cluster_yamls/kueue/aw_kueue.yaml  |    2 +-
 .../kueue/ray_cluster_kueue.yaml              |    2 +-
 .../ray/default-appwrapper.yaml               |    2 +-
 .../ray/default-ray-cluster.yaml              |    2 +-
 .../ray/unit-test-all-params.yaml             |    2 +-
 .../support_clusters/test-aw-a.yaml           |    2 +-
 .../support_clusters/test-aw-b.yaml           |    2 +-
 .../support_clusters/test-rc-a.yaml           |    2 +-
 .../support_clusters/test-rc-b.yaml           |    2 +-
 28 files changed, 1888 insertions(+), 1465 deletions(-)

diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb
index 09cb9b89..ed105b45 100644
--- a/demo-notebooks/additional-demos/local_interactive.ipynb
+++ b/demo-notebooks/additional-demos/local_interactive.ipynb
@@ -38,7 +38,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb
index 31c5793e..4b129190 100644
--- a/demo-notebooks/additional-demos/ray_job_client.ipynb
+++ b/demo-notebooks/additional-demos/ray_job_client.ipynb
@@ -44,7 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb
index be05130e..603a52a2 100644
--- a/demo-notebooks/guided-demos/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb
@@ -50,7 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
index 8db650dd..f33fa2ec 100644
--- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
@@ -44,7 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
index 5528d04b..fccca9d3 100644
--- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
@@ -47,7 +47,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/3_widget_example.ipynb b/demo-notebooks/guided-demos/3_widget_example.ipynb
index 243c75ec..ea5ad08a 100644
--- a/demo-notebooks/guided-demos/3_widget_example.ipynb
+++ b/demo-notebooks/guided-demos/3_widget_example.ipynb
@@ -50,7 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
index 3e6dc193..fb1a8d61 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
@@ -50,7 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
index e79d47e7..7e62f52a 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
@@ -44,7 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
index f6417521..fe8f3274 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
@@ -47,7 +47,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
index 3e6dc193..fb1a8d61 100644
--- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
@@ -50,7 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
index 40195d64..34defbf9 100644
--- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
@@ -44,7 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
index 8838a5ba..7f50437f 100644
--- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
@@ -47,7 +47,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index 82156b2f..d60e9c92 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -36,7 +36,7 @@ requirements for creating the Ray Cluster.
   a RayCluster resource depend on the installed Python version:
 
   - For Python 3.9: `quay.io/modh/ray:2.35.0-py39-cu121`
-  - For Python 3.11: `quay.io/modh/ray:2.35.0-py311-cu121`
+  - For Python 3.11: `quay.io/modh/ray:2.44.1-py311-cu121 `
 
   If you prefer to use a custom Ray image that better suits your
   needs, you can specify it in the image field to override the default.
diff --git a/poetry.lock b/poetry.lock
index 34340a62..1e0d12ab 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,116 +1,106 @@
-# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
-version = "2.4.3"
+version = "2.6.1"
 description = "Happy Eyeballs for asyncio"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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-    {file = "aiohappyeyeballs-2.4.3.tar.gz", hash = "sha256:75cf88a15106a5002a8eb1dab212525c00d1f4c0fa96e551c9fbe6f09a621586"},
+    {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
+    {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.10.11"
+version = "3.11.18"
 description = "Async http client/server framework (asyncio)"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
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+    {file = "aiohttp-3.11.18.tar.gz", hash = "sha256:ae856e1138612b7e412db63b7708735cff4d38d0399f6a5435d3dac2669f558a"},
 ]
 
 [package.dependencies]
@@ -120,36 +110,37 @@ async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.12.0,<2.0"
+propcache = ">=0.2.0"
+yarl = ">=1.17.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiohttp-cors"
-version = "0.7.0"
+version = "0.8.1"
 description = "CORS support for aiohttp"
 optional = false
-python-versions = "*"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "aiohttp-cors-0.7.0.tar.gz", hash = "sha256:4d39c6d7100fd9764ed1caf8cebf0eb01bf5e3f24e2e073fda6234bc48b19f5d"},
-    {file = "aiohttp_cors-0.7.0-py3-none-any.whl", hash = "sha256:0451ba59fdf6909d0e2cd21e4c0a43752bc0703d33fc78ae94d9d9321710193e"},
+    {file = "aiohttp_cors-0.8.1-py3-none-any.whl", hash = "sha256:3180cf304c5c712d626b9162b195b1db7ddf976a2a25172b35bb2448b890a80d"},
+    {file = "aiohttp_cors-0.8.1.tar.gz", hash = "sha256:ccacf9cb84b64939ea15f859a146af1f662a6b1d68175754a07315e305fb1403"},
 ]
 
 [package.dependencies]
-aiohttp = ">=1.1"
+aiohttp = ">=3.9"
 
 [[package]]
 name = "aiosignal"
-version = "1.3.1"
+version = "1.3.2"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
-    {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
+    {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
+    {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
 ]
 
 [package.dependencies]
@@ -169,25 +160,25 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.6.0"
+version = "4.9.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 groups = ["test"]
 files = [
-    {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
-    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
+    {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
+    {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
 ]
 
 [package.dependencies]
 exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
-typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\""]
+doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -284,121 +275,142 @@ test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock
 
 [[package]]
 name = "asttokens"
-version = "2.4.1"
+version = "3.0.0"
 description = "Annotate AST trees with source code positions"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 groups = ["main", "test"]
 files = [
-    {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
-    {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
+    {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"},
+    {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"},
 ]
 
-[package.dependencies]
-six = ">=1.12.0"
-
 [package.extras]
-astroid = ["astroid (>=1,<2) ; python_version < \"3\"", "astroid (>=2,<4) ; python_version >= \"3\""]
-test = ["astroid (>=1,<2) ; python_version < \"3\"", "astroid (>=2,<4) ; python_version >= \"3\"", "pytest"]
+astroid = ["astroid (>=2,<4)"]
+test = ["astroid (>=2,<4)", "pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "async-lru"
-version = "2.0.4"
+version = "2.0.5"
 description = "Simple LRU cache for asyncio"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["test"]
 files = [
-    {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"},
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+    {file = "async_lru-2.0.5-py3-none-any.whl", hash = "sha256:ab95404d8d2605310d345932697371a5f40def0487c03d6d0ad9138de52c9943"},
+    {file = "async_lru-2.0.5.tar.gz", hash = "sha256:481d52ccdd27275f42c43a928b4a50c3bfb2d67af4e78b170e3e0bb39c66e5bb"},
 ]
 
 [package.dependencies]
-typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
+typing_extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "async-timeout"
-version = "4.0.3"
+version = "5.0.1"
 description = "Timeout context manager for asyncio programs"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["main"]
 markers = "python_version < \"3.11\""
 files = [
-    {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
-    {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
+    {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
+    {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
 ]
 
 [[package]]
 name = "attrs"
-version = "24.2.0"
+version = "25.3.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["main", "test"]
 files = [
-    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
-    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
+    {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"},
+    {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"},
 ]
 
 [package.extras]
-benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\" and python_version < \"3.13\"", "pytest-xdist[psutil]"]
-cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\" and python_version < \"3.13\"", "pytest-xdist[psutil]"]
-dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\"", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\" and python_version < \"3.13\"", "pytest-xdist[psutil]"]
-docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
-tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\" and python_version < \"3.13\"", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.9\" and python_version < \"3.13\""]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
 
 [[package]]
 name = "babel"
-version = "2.16.0"
+version = "2.17.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.8"
 groups = ["docs", "test"]
 files = [
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 ]
 
 [package.extras]
-dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
+dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""]
 
 [[package]]
 name = "bcrypt"
-version = "4.2.0"
+version = "4.3.0"
 description = "Modern password hashing for your software and your servers"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["main"]
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+    {file = "bcrypt-4.3.0-pp311-pypy311_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:57967b7a28d855313a963aaea51bf6df89f833db4320da458e5b3c5ab6d4c938"},
+    {file = "bcrypt-4.3.0.tar.gz", hash = "sha256:3a3fd2204178b6d2adcf09cb4f6426ffef54762577a7c9b54c159008cb288c18"},
 ]
 
 [package.extras]
@@ -407,18 +419,19 @@ typecheck = ["mypy"]
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.3"
+version = "4.13.4"
 description = "Screen-scraping library"
 optional = false
-python-versions = ">=3.6.0"
+python-versions = ">=3.7.0"
 groups = ["test"]
 files = [
-    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
-    {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
+    {file = "beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b"},
+    {file = "beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195"},
 ]
 
 [package.dependencies]
 soupsieve = ">1.2"
+typing-extensions = ">=4.0.0"
 
 [package.extras]
 cchardet = ["cchardet"]
@@ -429,45 +442,45 @@ lxml = ["lxml"]
 
 [[package]]
 name = "bleach"
-version = "6.1.0"
+version = "6.2.0"
 description = "An easy safelist-based HTML-sanitizing tool."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["test"]
 files = [
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-    {file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"},
+    {file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"},
+    {file = "bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"},
 ]
 
 [package.dependencies]
-six = ">=1.9.0"
+tinycss2 = {version = ">=1.1.0,<1.5", optional = true, markers = "extra == \"css\""}
 webencodings = "*"
 
 [package.extras]
-css = ["tinycss2 (>=1.1.0,<1.3)"]
+css = ["tinycss2 (>=1.1.0,<1.5)"]
 
 [[package]]
 name = "cachetools"
-version = "5.5.0"
+version = "5.5.2"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
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 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2025.4.26"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "docs", "test"]
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 [[package]]
@@ -552,114 +565,133 @@ pycparser = "*"
 
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 ]
 
 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
+markers = "python_version == \"3.9\""
 files = [
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+[package.dependencies]
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+
+[[package]]
+name = "click"
+version = "8.2.0"
+description = "Composable command line interface toolkit"
+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version >= \"3.10\""
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 ]
 
 [package.dependencies]
@@ -838,46 +870,50 @@ test-randomorder = ["pytest-randomly"]
 
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 description = "An implementation of the Debug Adapter Protocol for Python"
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 ]
 
 [[package]]
 name = "decorator"
-version = "5.1.1"
+version = "5.2.1"
 description = "Decorators for Humans"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 groups = ["main", "test"]
 files = [
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 ]
 
 [[package]]
@@ -894,26 +930,26 @@ files = [
 
 [[package]]
 name = "distlib"
-version = "0.3.8"
+version = "0.3.9"
 description = "Distribution utilities"
 optional = false
 python-versions = "*"
 groups = ["main"]
 files = [
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 ]
 
 [[package]]
 name = "docutils"
-version = "0.20.1"
+version = "0.21.2"
 description = "Docutils -- Python Documentation Utilities"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["docs"]
 files = [
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+    {file = "docutils-0.21.2.tar.gz", hash = "sha256:3a6b18732edf182daa3cd12775bbb338cf5691468f91eeeb109deff6ebfa986f"},
 ]
 
 [[package]]
@@ -930,17 +966,20 @@ files = [
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.2"
+version = "1.3.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "test"]
 markers = "python_version < \"3.11\""
 files = [
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 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
+
 [package.extras]
 test = ["pytest (>=6)"]
 
@@ -961,14 +1000,14 @@ tests = ["asttokens", "littleutils", "pytest", "rich ; python_version >= \"3.11\
 
 [[package]]
 name = "fastjsonschema"
-version = "2.20.0"
+version = "2.21.1"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
 groups = ["test"]
 files = [
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 ]
 
 [package.extras]
@@ -976,19 +1015,19 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
 
 [[package]]
 name = "filelock"
-version = "3.16.1"
+version = "3.18.0"
 description = "A platform independent file lock."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
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 ]
 
 [[package]]
 name = "fsspec"
-version = "2024.9.0"
+version = "2025.3.2"
 description = "File-system specification"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 [package.extras]
@@ -1126,44 +1192,48 @@ sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
 test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
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+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
 [[package]]
 name = "google-api-core"
-version = "2.20.0"
+version = "2.24.2"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
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+requests = ">=2.18.0,<3.0.0"
 
 [package.extras]
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 grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio (>=1.49.1,<2.0dev) ; python_version >= \"3.11\"", "grpcio-status (>=1.33.2,<2.0.dev0)", "grpcio-status (>=1.49.1,<2.0.dev0) ; python_version >= \"3.11\""]
 grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.35.0"
+version = "2.40.1"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -1172,142 +1242,141 @@ pyasn1-modules = ">=0.2.1"
 rsa = ">=3.1.4,<5"
 
 [package.extras]
-aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
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 enterprise-cert = ["cryptography", "pyopenssl"]
-pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
+pyjwt = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyjwt (>=2.0)"]
+pyopenssl = ["cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
-requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
+requests = ["requests (>=2.20.0,<3.0.0)"]
+testing = ["aiohttp (<3.10.0)", "aiohttp (>=3.6.2,<4.0.0)", "aioresponses", "cryptography (<39.0.0) ; python_version < \"3.8\"", "cryptography (>=38.0.3)", "flask", "freezegun", "grpcio", "mock", "oauth2client", "packaging", "pyjwt (>=2.0)", "pyopenssl (<24.3.0)", "pyopenssl (>=20.0.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-localserver", "pyu2f (>=0.1.5)", "requests (>=2.20.0,<3.0.0)", "responses", "urllib3"]
+urllib3 = ["packaging", "urllib3"]
 
 [[package]]
 name = "googleapis-common-protos"
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+version = "1.70.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
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 [package.extras]
-grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
+grpc = ["grpcio (>=1.44.0,<2.0.0)"]
 
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 [package.extras]
-protobuf = ["grpcio-tools (>=1.66.2)"]
+protobuf = ["grpcio-tools (>=1.71.0)"]
 
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 name = "h11"
-version = "0.14.0"
+version = "0.16.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
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 groups = ["test"]
 files = [
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 ]
 
 [[package]]
 name = "httpcore"
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 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
 files = [
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 ]
 
 [package.dependencies]
 certifi = "*"
-h11 = ">=0.13,<0.15"
+h11 = ">=0.16"
 
 [package.extras]
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.2"
+version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
 files = [
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 ]
 
 [package.dependencies]
@@ -1315,7 +1384,6 @@ anyio = "*"
 certifi = "*"
 httpcore = "==1.*"
 idna = "*"
-sniffio = "*"
 
 [package.extras]
 brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
@@ -1353,15 +1421,15 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "8.5.0"
+version = "8.7.0"
 description = "Read metadata from Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["docs", "test"]
 markers = "python_version == \"3.9\""
 files = [
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 ]
 
 [package.dependencies]
@@ -1373,19 +1441,19 @@ cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
 name = "iniconfig"
-version = "2.0.0"
+version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["test"]
 files = [
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-    {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+    {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
+    {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
 ]
 
 [[package]]
@@ -1429,6 +1497,7 @@ description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "test"]
+markers = "python_version == \"3.9\""
 files = [
     {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"},
     {file = "ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27"},
@@ -1460,6 +1529,96 @@ qtconsole = ["qtconsole"]
 test = ["pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath"]
 test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath", "trio"]
 
+[[package]]
+name = "ipython"
+version = "8.36.0"
+description = "IPython: Productive Interactive Computing"
+optional = false
+python-versions = ">=3.10"
+groups = ["main", "test"]
+markers = "python_version == \"3.10\""
+files = [
+    {file = "ipython-8.36.0-py3-none-any.whl", hash = "sha256:12b913914d010dcffa2711505ec8be4bf0180742d97f1e5175e51f22086428c1"},
+    {file = "ipython-8.36.0.tar.gz", hash = "sha256:24658e9fe5c5c819455043235ba59cfffded4a35936eefceceab6b192f7092ff"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+decorator = "*"
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+jedi = ">=0.16"
+matplotlib-inline = "*"
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
+prompt_toolkit = ">=3.0.41,<3.1.0"
+pygments = ">=2.4.0"
+stack_data = "*"
+traitlets = ">=5.13.0"
+typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
+
+[package.extras]
+all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
+black = ["black"]
+doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"]
+kernel = ["ipykernel"]
+matplotlib = ["matplotlib"]
+nbconvert = ["nbconvert"]
+nbformat = ["nbformat"]
+notebook = ["ipywidgets", "notebook"]
+parallel = ["ipyparallel"]
+qtconsole = ["qtconsole"]
+test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
+
+[[package]]
+name = "ipython"
+version = "9.2.0"
+description = "IPython: Productive Interactive Computing"
+optional = false
+python-versions = ">=3.11"
+groups = ["main", "test"]
+markers = "python_version >= \"3.11\""
+files = [
+    {file = "ipython-9.2.0-py3-none-any.whl", hash = "sha256:fef5e33c4a1ae0759e0bba5917c9db4eb8c53fee917b6a526bd973e1ca5159f6"},
+    {file = "ipython-9.2.0.tar.gz", hash = "sha256:62a9373dbc12f28f9feaf4700d052195bf89806279fc8ca11f3f54017d04751b"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+decorator = "*"
+ipython-pygments-lexers = "*"
+jedi = ">=0.16"
+matplotlib-inline = "*"
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
+prompt_toolkit = ">=3.0.41,<3.1.0"
+pygments = ">=2.4.0"
+stack_data = "*"
+traitlets = ">=5.13.0"
+typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""}
+
+[package.extras]
+all = ["ipython[doc,matplotlib,test,test-extra]"]
+black = ["black"]
+doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinx_toml (==0.0.4)", "typing_extensions"]
+matplotlib = ["matplotlib"]
+test = ["packaging", "pytest", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "ipykernel", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbclient", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
+
+[[package]]
+name = "ipython-pygments-lexers"
+version = "1.1.1"
+description = "Defines a variety of Pygments lexers for highlighting IPython code."
+optional = false
+python-versions = ">=3.8"
+groups = ["main", "test"]
+markers = "python_version >= \"3.11\""
+files = [
+    {file = "ipython_pygments_lexers-1.1.1-py3-none-any.whl", hash = "sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c"},
+    {file = "ipython_pygments_lexers-1.1.1.tar.gz", hash = "sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81"},
+]
+
+[package.dependencies]
+pygments = "*"
+
 [[package]]
 name = "ipywidgets"
 version = "8.1.2"
@@ -1499,36 +1658,35 @@ arrow = ">=0.15.0"
 
 [[package]]
 name = "jedi"
-version = "0.19.1"
+version = "0.19.2"
 description = "An autocompletion tool for Python that can be used for text editors."
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "test"]
 files = [
-    {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
-    {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
+    {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"},
+    {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"},
 ]
 
 [package.dependencies]
-parso = ">=0.8.3,<0.9.0"
+parso = ">=0.8.4,<0.9.0"
 
 [package.extras]
 docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
 qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
+testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.5"
+version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
-groups = ["main", "docs", "test"]
+groups = ["docs", "test"]
 files = [
-    {file = "jinja2-3.1.5-py3-none-any.whl", hash = "sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
-    {file = "jinja2-3.1.5.tar.gz", hash = "sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
+    {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
+    {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
 ]
-markers = {main = "sys_platform != \"win32\""}
 
 [package.dependencies]
 MarkupSafe = ">=2.0"
@@ -1538,16 +1696,19 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "json5"
-version = "0.9.25"
+version = "0.12.0"
 description = "A Python implementation of the JSON5 data format."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.8.0"
 groups = ["test"]
 files = [
-    {file = "json5-0.9.25-py3-none-any.whl", hash = "sha256:34ed7d834b1341a86987ed52f3f76cd8ee184394906b6e22a1e0deb9ab294e8f"},
-    {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"},
+    {file = "json5-0.12.0-py3-none-any.whl", hash = "sha256:6d37aa6c08b0609f16e1ec5ff94697e2cbbfbad5ac112afa05794da9ab7810db"},
+    {file = "json5-0.12.0.tar.gz", hash = "sha256:0b4b6ff56801a1c7dc817b0241bca4ce474a0e6a163bfef3fc594d3fd263ff3a"},
 ]
 
+[package.extras]
+dev = ["build (==1.2.2.post1)", "coverage (==7.5.4) ; python_version < \"3.9\"", "coverage (==7.8.0) ; python_version >= \"3.9\"", "mypy (==1.14.1) ; python_version < \"3.9\"", "mypy (==1.15.0) ; python_version >= \"3.9\"", "pip (==25.0.1)", "pylint (==3.2.7) ; python_version < \"3.9\"", "pylint (==3.3.6) ; python_version >= \"3.9\"", "ruff (==0.11.2)", "twine (==6.1.0)", "uv (==0.6.11)"]
+
 [[package]]
 name = "jsonpointer"
 version = "3.0.0"
@@ -1592,14 +1753,14 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.12.1"
+version = "2025.4.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main", "test"]
 files = [
-    {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
-    {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
+    {file = "jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af"},
+    {file = "jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608"},
 ]
 
 [package.dependencies]
@@ -1652,18 +1813,19 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
 
 [[package]]
 name = "jupyter-events"
-version = "0.10.0"
+version = "0.12.0"
 description = "Jupyter Event System library"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["test"]
 files = [
-    {file = "jupyter_events-0.10.0-py3-none-any.whl", hash = "sha256:4b72130875e59d57716d327ea70d3ebc3af1944d3717e5a498b8a06c6c159960"},
-    {file = "jupyter_events-0.10.0.tar.gz", hash = "sha256:670b8229d3cc882ec782144ed22e0d29e1c2d639263f92ca8383e66682845e22"},
+    {file = "jupyter_events-0.12.0-py3-none-any.whl", hash = "sha256:6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb"},
+    {file = "jupyter_events-0.12.0.tar.gz", hash = "sha256:fc3fce98865f6784c9cd0a56a20644fc6098f21c8c33834a8d9fe383c17e554b"},
 ]
 
 [package.dependencies]
 jsonschema = {version = ">=4.18.0", extras = ["format-nongpl"]}
+packaging = "*"
 python-json-logger = ">=2.0.4"
 pyyaml = ">=5.3"
 referencing = "*"
@@ -1673,7 +1835,7 @@ traitlets = ">=5.3"
 
 [package.extras]
 cli = ["click", "rich"]
-docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme", "sphinxcontrib-spelling"]
+docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8)", "sphinxcontrib-spelling"]
 test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"]
 
 [[package]]
@@ -1694,14 +1856,14 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.14.2"
+version = "2.15.0"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["test"]
 files = [
-    {file = "jupyter_server-2.14.2-py3-none-any.whl", hash = "sha256:47ff506127c2f7851a17bf4713434208fc490955d0e8632e95014a9a9afbeefd"},
-    {file = "jupyter_server-2.14.2.tar.gz", hash = "sha256:66095021aa9638ced276c248b1d81862e4c50f292d575920bbe960de1c56b12b"},
+    {file = "jupyter_server-2.15.0-py3-none-any.whl", hash = "sha256:872d989becf83517012ee669f09604aa4a28097c0bd90b2f424310156c2cdae3"},
+    {file = "jupyter_server-2.15.0.tar.gz", hash = "sha256:9d446b8697b4f7337a1b7cdcac40778babdd93ba614b6d68ab1c0c918f1c4084"},
 ]
 
 [package.dependencies]
@@ -1710,7 +1872,7 @@ argon2-cffi = ">=21.1"
 jinja2 = ">=3.0.3"
 jupyter-client = ">=7.4.4"
 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-jupyter-events = ">=0.9.0"
+jupyter-events = ">=0.11.0"
 jupyter-server-terminals = ">=0.4.4"
 nbconvert = ">=6.4.4"
 nbformat = ">=5.3.0"
@@ -1826,26 +1988,26 @@ test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-v
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "3.0.13"
+version = "3.0.15"
 description = "Jupyter interactive widgets for JupyterLab"
 optional = false
 python-versions = ">=3.7"
 groups = ["main"]
 files = [
-    {file = "jupyterlab_widgets-3.0.13-py3-none-any.whl", hash = "sha256:e3cda2c233ce144192f1e29914ad522b2f4c40e77214b0cc97377ca3d323db54"},
-    {file = "jupyterlab_widgets-3.0.13.tar.gz", hash = "sha256:a2966d385328c1942b683a8cd96b89b8dd82c8b8f81dda902bb2bc06d46f5bed"},
+    {file = "jupyterlab_widgets-3.0.15-py3-none-any.whl", hash = "sha256:d59023d7d7ef71400d51e6fee9a88867f6e65e10a4201605d2d7f3e8f012a31c"},
+    {file = "jupyterlab_widgets-3.0.15.tar.gz", hash = "sha256:2920888a0c2922351a9202817957a68c07d99673504d6cd37345299e971bb08b"},
 ]
 
 [[package]]
 name = "kubernetes"
-version = "31.0.0"
+version = "32.0.1"
 description = "Kubernetes python client"
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
 files = [
-    {file = "kubernetes-31.0.0-py2.py3-none-any.whl", hash = "sha256:bf141e2d380c8520eada8b351f4e319ffee9636328c137aa432bc486ca1200e1"},
-    {file = "kubernetes-31.0.0.tar.gz", hash = "sha256:28945de906c8c259c1ebe62703b56a03b714049372196f854105afe4e6d014c0"},
+    {file = "kubernetes-32.0.1-py2.py3-none-any.whl", hash = "sha256:35282ab8493b938b08ab5526c7ce66588232df00ef5e1dbe88a419107dc10998"},
+    {file = "kubernetes-32.0.1.tar.gz", hash = "sha256:42f43d49abd437ada79a79a16bd48a604d3471a117a8347e87db693f2ba0ba28"},
 ]
 
 [package.dependencies]
@@ -1891,74 +2053,74 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 
 [[package]]
 name = "markupsafe"
-version = "2.1.5"
+version = "3.0.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
-python-versions = ">=3.7"
-groups = ["main", "docs", "test"]
+python-versions = ">=3.9"
+groups = ["docs", "test"]
 files = [
-    {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
-    {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
-    {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46"},
-    {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f"},
-    {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900"},
-    {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff"},
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-    {file = "MarkupSafe-2.1.5-cp310-cp310-win32.whl", hash = "sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4"},
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 name = "matplotlib-inline"
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 [[package]]
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 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
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+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "msgpack"
 version = "1.1.0"
@@ -2132,104 +2240,116 @@ files = [
 
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 [package.dependencies]
@@ -2237,14 +2357,14 @@ typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "nbclient"
-version = "0.10.0"
+version = "0.10.2"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.9.0"
 groups = ["test"]
 files = [
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 [package.dependencies]
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 [package.extras]
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 [[package]]
 name = "nbconvert"
-version = "7.16.4"
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 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
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 ]
 
 [package.dependencies]
 beautifulsoup4 = "*"
-bleach = "!=5.0.0"
+bleach = {version = "!=5.0.0", extras = ["css"]}
 defusedxml = "*"
 importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
 jinja2 = ">=3.0"
@@ -2285,7 +2405,6 @@ nbformat = ">=5.7"
 packaging = "*"
 pandocfilters = ">=1.4.1"
 pygments = ">=2.4.1"
-tinycss2 = "*"
 traitlets = ">=5.1"
 
 [package.extras]
@@ -2356,6 +2475,7 @@ description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
+markers = "python_version == \"3.9\""
 files = [
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@@ -2404,6 +2524,72 @@ files = [
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 ]
 
+[[package]]
+name = "numpy"
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+optional = false
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "python_version >= \"3.10\""
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+]
+
 [[package]]
 name = "oauthlib"
 version = "3.2.2"
@@ -2481,14 +2667,14 @@ files = [
 
 [[package]]
 name = "packaging"
-version = "24.1"
+version = "25.0"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "docs", "test"]
 files = [
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 ]
 
 [[package]]
@@ -2592,14 +2778,14 @@ files = [
 
 [[package]]
 name = "paramiko"
-version = "3.5.0"
+version = "3.5.1"
 description = "SSH2 protocol library"
 optional = false
 python-versions = ">=3.6"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -2635,7 +2821,7 @@ description = "Pexpect allows easy control of interactive console applications."
 optional = false
 python-versions = "*"
 groups = ["main", "test"]
-markers = "sys_platform != \"win32\""
+markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or python_version == \"3.9\" and sys_platform != \"win32\""
 files = [
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@@ -2646,20 +2832,20 @@ ptyprocess = ">=0.5"
 
 [[package]]
 name = "platformdirs"
-version = "4.3.6"
+version = "4.3.8"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["main", "test"]
 files = [
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 ]
 
 [package.extras]
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
-type = ["mypy (>=1.11.2)"]
+docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.14.1)"]
 
 [[package]]
 name = "pluggy"
@@ -2679,14 +2865,14 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "prometheus-client"
-version = "0.21.0"
+version = "0.21.1"
 description = "Python client for the Prometheus monitoring system."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "test"]
 files = [
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 ]
 
 [package.extras]
@@ -2694,87 +2880,187 @@ twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.48"
+version = "3.0.51"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8"
 groups = ["main", "test"]
 files = [
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 ]
 
 [package.dependencies]
 wcwidth = "*"
 
+[[package]]
+name = "propcache"
+version = "0.3.1"
+description = "Accelerated property cache"
+optional = false
+python-versions = ">=3.9"
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 [package.extras]
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+dev = ["abi3audit", "black (==24.10.0)", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest", "pytest-cov", "pytest-xdist", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"]
+test = ["pytest", "pytest-xdist", "setuptools"]
 
 [[package]]
 name = "ptyprocess"
@@ -2787,7 +3073,7 @@ files = [
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 ]
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+markers = {main = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or python_version == \"3.9\" and sys_platform != \"win32\"", test = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or python_version == \"3.9\" and sys_platform != \"win32\" or os_name != \"nt\""}
 
 [[package]]
 name = "pure-eval"
@@ -2806,19 +3092,20 @@ tests = ["pytest"]
 
 [[package]]
 name = "py-spy"
-version = "0.3.14"
+version = "0.4.0"
 description = "Sampling profiler for Python programs"
 optional = false
 python-versions = "*"
 groups = ["main"]
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 ]
 
 [[package]]
@@ -2828,6 +3115,7 @@ description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
+markers = "sys_platform == \"darwin\" and platform_machine == \"x86_64\""
 files = [
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@@ -2873,6 +3161,75 @@ numpy = ">=1.16.6"
 [package.extras]
 test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
 
+[[package]]
+name = "pyarrow"
+version = "20.0.0"
+description = "Python library for Apache Arrow"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "sys_platform != \"darwin\" or platform_machine != \"x86_64\""
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 requests = "*"
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 rpds-py = ">=0.7.0"
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 name = "requests"
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+    {file = "rpds_py-0.24.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:24795c099453e3721fda5d8ddd45f5dfcc8e5a547ce7b8e9da06fecc3832e26f"},
+    {file = "rpds_py-0.24.0.tar.gz", hash = "sha256:772cc1b2cd963e7e17e6cc55fe0371fb9c704d63e44cacec7b9b7f523b78919e"},
 ]
 
 [[package]]
 name = "rsa"
-version = "4.9"
+version = "4.9.1"
 description = "Pure-Python RSA implementation"
 optional = false
-python-versions = ">=3.6,<4"
+python-versions = "<4,>=3.6"
 groups = ["main"]
 files = [
-    {file = "rsa-4.9-py3-none-any.whl", hash = "sha256:90260d9058e514786967344d0ef75fa8727eed8a7d2e43ce9f4bcf1b536174f7"},
-    {file = "rsa-4.9.tar.gz", hash = "sha256:e38464a49c6c85d7f1351b0126661487a7e0a14a50f1675ec50eb34d4f20ef21"},
+    {file = "rsa-4.9.1-py3-none-any.whl", hash = "sha256:68635866661c6836b8d39430f97a996acbd61bfa49406748ea243539fe239762"},
+    {file = "rsa-4.9.1.tar.gz", hash = "sha256:e7bdbfdb5497da4c07dfd35530e1a902659db6ff241e39d9953cad06ebd0ae75"},
 ]
 
 [package.dependencies]
@@ -3663,47 +4039,47 @@ win32 = ["pywin32 ; sys_platform == \"win32\""]
 
 [[package]]
 name = "setuptools"
-version = "75.1.0"
+version = "80.4.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["test"]
 files = [
-    {file = "setuptools-75.1.0-py3-none-any.whl", hash = "sha256:35ab7fd3bcd95e6b7fd704e4a1539513edad446c097797f2985e0e4b960772f2"},
-    {file = "setuptools-75.1.0.tar.gz", hash = "sha256:d59a21b17a275fb872a9c3dae73963160ae079f1049ed956880cd7c09b120538"},
+    {file = "setuptools-80.4.0-py3-none-any.whl", hash = "sha256:6cdc8cb9a7d590b237dbe4493614a9b75d0559b888047c1f67d49ba50fc3edb2"},
+    {file = "setuptools-80.4.0.tar.gz", hash = "sha256:5a78f61820bc088c8e4add52932ae6b8cf423da2aff268c23f813cfbb13b4006"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.5.2) ; sys_platform != \"cygwin\""]
-core = ["importlib-metadata (>=6) ; python_version < \"3.10\"", "importlib-resources (>=5.10.2) ; python_version < \"3.9\"", "jaraco.collections", "jaraco.functools", "jaraco.text (>=3.7)", "more-itertools", "more-itertools (>=8.8)", "packaging", "packaging (>=24)", "platformdirs (>=2.6.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""]
+core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib-metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.11.*)", "pytest-mypy"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
 name = "six"
-version = "1.16.0"
+version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 groups = ["main", "test"]
 files = [
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+    {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
 ]
 
 [[package]]
 name = "smart-open"
-version = "7.0.4"
+version = "7.1.0"
 description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
 optional = false
 python-versions = "<4.0,>=3.7"
 groups = ["main"]
 files = [
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-    {file = "smart_open-7.0.4.tar.gz", hash = "sha256:62b65852bdd1d1d516839fcb1f6bc50cd0f16e05b4ec44b52f43d38bcb838524"},
+    {file = "smart_open-7.1.0-py3-none-any.whl", hash = "sha256:4b8489bb6058196258bafe901730c7db0dcf4f083f316e97269c66f45502055b"},
+    {file = "smart_open-7.1.0.tar.gz", hash = "sha256:a4f09f84f0f6d3637c6543aca7b5487438877a21360e7368ccf1f704789752ba"},
 ]
 
 [package.dependencies]
@@ -3716,7 +4092,7 @@ gcs = ["google-cloud-storage (>=2.6.0)"]
 http = ["requests"]
 s3 = ["boto3"]
 ssh = ["paramiko"]
-test = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage (>=2.6.0)", "moto[server]", "paramiko", "pytest", "pytest-rerunfailures", "requests", "responses", "zstandard"]
+test = ["awscli", "azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage (>=2.6.0)", "moto[server]", "numpy", "paramiko", "pyopenssl", "pytest", "pytest-benchmark", "pytest-rerunfailures", "requests", "responses", "zstandard"]
 webhdfs = ["requests"]
 zst = ["zstandard"]
 
@@ -3734,26 +4110,26 @@ files = [
 
 [[package]]
 name = "snowballstemmer"
-version = "2.2.0"
-description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
+version = "3.0.1"
+description = "This package provides 32 stemmers for 30 languages generated from Snowball algorithms."
 optional = false
-python-versions = "*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*"
 groups = ["docs"]
 files = [
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+    {file = "snowballstemmer-3.0.1-py3-none-any.whl", hash = "sha256:6cd7b3897da8d6c9ffb968a6781fa6532dce9c3618a4b127d920dab764a19064"},
+    {file = "snowballstemmer-3.0.1.tar.gz", hash = "sha256:6d5eeeec8e9f84d4d56b847692bacf79bc2c8e90c7f80ca4444ff8b6f2e52895"},
 ]
 
 [[package]]
 name = "soupsieve"
-version = "2.6"
+version = "2.7"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
 files = [
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-    {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
+    {file = "soupsieve-2.7-py3-none-any.whl", hash = "sha256:6e60cc5c1ffaf1cebcc12e8188320b72071e922c2e897f737cadce79ad5d30c4"},
+    {file = "soupsieve-2.7.tar.gz", hash = "sha256:ad282f9b6926286d2ead4750552c8a6142bc4c783fd66b0293547c8fe6ae126a"},
 ]
 
 [[package]]
@@ -3972,14 +4348,14 @@ typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"]
 
 [[package]]
 name = "tinycss2"
-version = "1.3.0"
+version = "1.4.0"
 description = "A tiny CSS parser"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
 files = [
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+    {file = "tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289"},
+    {file = "tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7"},
 ]
 
 [package.dependencies]
@@ -3991,36 +4367,66 @@ test = ["pytest", "ruff"]
 
 [[package]]
 name = "tomli"
-version = "2.0.1"
+version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["docs", "test"]
 markers = "python_version < \"3.11\""
 files = [
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 ]
 
 [[package]]
 name = "tornado"
-version = "6.4.1"
+version = "6.4.2"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
 files = [
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 [[package]]
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 [[package]]
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 python-versions = ">=2"
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 files = [
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 [[package]]
@@ -4093,14 +4498,14 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
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 [package.extras]
@@ -4111,14 +4516,14 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
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 [package.dependencies]
@@ -4128,7 +4533,7 @@ platformdirs = ">=3.9.1,<5"
 
 [package.extras]
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 [[package]]
 name = "wcwidth"
@@ -4144,20 +4549,16 @@ files = [
 
 [[package]]
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 [[package]]
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 version = "0.5.1"
@@ -4189,213 +4590,235 @@ test = ["websockets"]
 
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+    {file = "yarl-1.20.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:4a34c52ed158f89876cba9c600b2c964dfc1ca52ba7b3ab6deb722d1d8be6df2"},
+    {file = "yarl-1.20.0-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:04d8cfb12714158abf2618f792c77bc5c3d8c5f37353e79509608be4f18705c9"},
+    {file = "yarl-1.20.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:7dc63ad0d541c38b6ae2255aaa794434293964677d5c1ec5d0116b0e308031f5"},
+    {file = "yarl-1.20.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:f9d02b591a64e4e6ca18c5e3d925f11b559c763b950184a64cf47d74d7e41877"},
+    {file = "yarl-1.20.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:95fc9876f917cac7f757df80a5dda9de59d423568460fe75d128c813b9af558e"},
+    {file = "yarl-1.20.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:bb769ae5760cd1c6a712135ee7915f9d43f11d9ef769cb3f75a23e398a92d384"},
+    {file = "yarl-1.20.0-cp313-cp313-win32.whl", hash = "sha256:70e0c580a0292c7414a1cead1e076c9786f685c1fc4757573d2967689b370e62"},
+    {file = "yarl-1.20.0-cp313-cp313-win_amd64.whl", hash = "sha256:4c43030e4b0af775a85be1fa0433119b1565673266a70bf87ef68a9d5ba3174c"},
+    {file = "yarl-1.20.0-cp313-cp313t-macosx_10_13_universal2.whl", hash = "sha256:b6c4c3d0d6a0ae9b281e492b1465c72de433b782e6b5001c8e7249e085b69051"},
+    {file = "yarl-1.20.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:8681700f4e4df891eafa4f69a439a6e7d480d64e52bf460918f58e443bd3da7d"},
+    {file = "yarl-1.20.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:84aeb556cb06c00652dbf87c17838eb6d92cfd317799a8092cee0e570ee11229"},
+    {file = "yarl-1.20.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f166eafa78810ddb383e930d62e623d288fb04ec566d1b4790099ae0f31485f1"},
+    {file = "yarl-1.20.0-cp313-cp313t-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:5d3d6d14754aefc7a458261027a562f024d4f6b8a798adb472277f675857b1eb"},
+    {file = "yarl-1.20.0-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2a8f64df8ed5d04c51260dbae3cc82e5649834eebea9eadfd829837b8093eb00"},
+    {file = "yarl-1.20.0-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4d9949eaf05b4d30e93e4034a7790634bbb41b8be2d07edd26754f2e38e491de"},
+    {file = "yarl-1.20.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c366b254082d21cc4f08f522ac201d0d83a8b8447ab562732931d31d80eb2a5"},
+    {file = "yarl-1.20.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:91bc450c80a2e9685b10e34e41aef3d44ddf99b3a498717938926d05ca493f6a"},
+    {file = "yarl-1.20.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9c2aa4387de4bc3a5fe158080757748d16567119bef215bec643716b4fbf53f9"},
+    {file = "yarl-1.20.0-cp313-cp313t-musllinux_1_2_armv7l.whl", hash = "sha256:d2cbca6760a541189cf87ee54ff891e1d9ea6406079c66341008f7ef6ab61145"},
+    {file = "yarl-1.20.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:798a5074e656f06b9fad1a162be5a32da45237ce19d07884d0b67a0aa9d5fdda"},
+    {file = "yarl-1.20.0-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:f106e75c454288472dbe615accef8248c686958c2e7dd3b8d8ee2669770d020f"},
+    {file = "yarl-1.20.0-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:3b60a86551669c23dc5445010534d2c5d8a4e012163218fc9114e857c0586fdd"},
+    {file = "yarl-1.20.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:3e429857e341d5e8e15806118e0294f8073ba9c4580637e59ab7b238afca836f"},
+    {file = "yarl-1.20.0-cp313-cp313t-win32.whl", hash = "sha256:65a4053580fe88a63e8e4056b427224cd01edfb5f951498bfefca4052f0ce0ac"},
+    {file = "yarl-1.20.0-cp313-cp313t-win_amd64.whl", hash = "sha256:53b2da3a6ca0a541c1ae799c349788d480e5144cac47dba0266c7cb6c76151fe"},
+    {file = "yarl-1.20.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:119bca25e63a7725b0c9d20ac67ca6d98fa40e5a894bd5d4686010ff73397914"},
+    {file = "yarl-1.20.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:35d20fb919546995f1d8c9e41f485febd266f60e55383090010f272aca93edcc"},
+    {file = "yarl-1.20.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:484e7a08f72683c0f160270566b4395ea5412b4359772b98659921411d32ad26"},
+    {file = "yarl-1.20.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8d8a3d54a090e0fff5837cd3cc305dd8a07d3435a088ddb1f65e33b322f66a94"},
+    {file = "yarl-1.20.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.manylinux_2_31_armv7l.whl", hash = "sha256:f0cf05ae2d3d87a8c9022f3885ac6dea2b751aefd66a4f200e408a61ae9b7f0d"},
+    {file = "yarl-1.20.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a884b8974729e3899d9287df46f015ce53f7282d8d3340fa0ed57536b440621c"},
+    {file = "yarl-1.20.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f8d8aa8dd89ffb9a831fedbcb27d00ffd9f4842107d52dc9d57e64cb34073d5c"},
+    {file = "yarl-1.20.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b4e88d6c3c8672f45a30867817e4537df1bbc6f882a91581faf1f6d9f0f1b5a"},
+    {file = "yarl-1.20.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bdb77efde644d6f1ad27be8a5d67c10b7f769804fff7a966ccb1da5a4de4b656"},
+    {file = "yarl-1.20.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:4ba5e59f14bfe8d261a654278a0f6364feef64a794bd456a8c9e823071e5061c"},
+    {file = "yarl-1.20.0-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:d0bf955b96ea44ad914bc792c26a0edcd71b4668b93cbcd60f5b0aeaaed06c64"},
+    {file = "yarl-1.20.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:27359776bc359ee6eaefe40cb19060238f31228799e43ebd3884e9c589e63b20"},
+    {file = "yarl-1.20.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:04d9c7a1dc0a26efb33e1acb56c8849bd57a693b85f44774356c92d610369efa"},
+    {file = "yarl-1.20.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:faa709b66ae0e24c8e5134033187a972d849d87ed0a12a0366bedcc6b5dc14a5"},
+    {file = "yarl-1.20.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:44869ee8538208fe5d9342ed62c11cc6a7a1af1b3d0bb79bb795101b6e77f6e0"},
+    {file = "yarl-1.20.0-cp39-cp39-win32.whl", hash = "sha256:b7fa0cb9fd27ffb1211cde944b41f5c67ab1c13a13ebafe470b1e206b8459da8"},
+    {file = "yarl-1.20.0-cp39-cp39-win_amd64.whl", hash = "sha256:d4fad6e5189c847820288286732075f213eabf81be4d08d6cc309912e62be5b7"},
+    {file = "yarl-1.20.0-py3-none-any.whl", hash = "sha256:5d0fe6af927a47a230f31e6004621fd0959eaa915fc62acfafa67ff7229a3124"},
+    {file = "yarl-1.20.0.tar.gz", hash = "sha256:686d51e51ee5dfe62dec86e4866ee0e9ed66df700d55c828a615640adc885307"},
 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
+propcache = ">=0.2.1"
 
 [[package]]
 name = "zipp"
-version = "3.20.2"
+version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["docs", "test"]
 markers = "python_version == \"3.9\""
 files = [
-    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
-    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
@@ -4409,4 +4832,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.9"
-content-hash = "6e5e74183be00c02f89e0da419aec0b032025410f8d2ae8685263fb5bc38b911"
+content-hash = "6dd8c3cff721090b386fbbe8d8fe7c3bea52570f79605dacb7b9193d546eb2a3"
diff --git a/pyproject.toml b/pyproject.toml
index d31ea2e1..f3bde976 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,7 +23,7 @@ keywords = ['codeflare', 'python', 'sdk', 'client', 'batch', 'scale']
 python = "^3.9"
 openshift-client = "1.0.18"
 rich = ">=12.5,<14.0"
-ray = {version = "2.35.0", extras = ["data", "default"]}
+ray = {version = "2.44.1", extras = ["data", "default"]}
 kubernetes = ">= 27.2.0"
 cryptography = "43.0.3"
 executing = "1.2.0"
diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 28a30381..bf437009 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -277,7 +277,7 @@ def get_expected_image():
     if python_version.major == 3 and python_version.minor == 9:
         return "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06"
     else:
-        return "quay.io/modh/ray@sha256:db667df1bc437a7b0965e8031e905d3ab04b86390d764d120e05ea5a5c18d1b4"
+        return "quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31"
 
 
 def get_template_variables():
diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index 215ac32e..2b8180a2 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -94,7 +94,7 @@
 
 SUPPORTED_PYTHON_VERSIONS = {
     "3.9": "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06",
-    "3.11": "quay.io/modh/ray@sha256:db667df1bc437a7b0965e8031e905d3ab04b86390d764d120e05ea5a5c18d1b4",
+    "3.11": "quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31",
 }
 
 
@@ -105,7 +105,7 @@ def build_ray_cluster(cluster: "codeflare_sdk.ray.cluster.Cluster"):
     The resource is a dict template which uses Kubernetes Objects for creating metadata, resource requests,
     specs and containers. The result is sanitised and returned either as a dict or written as a yaml file.
     """
-    ray_version = "2.35.0"
+    ray_version = "2.44.1"
 
     # GPU related variables
     head_gpu_count, worker_gpu_count = head_worker_gpu_count_from_cluster(cluster)
diff --git a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
index 9166eced..4a14f01f 100644
--- a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
+++ b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
@@ -66,7 +66,7 @@ spec:
                   requests:
                     cpu: 2
                     memory: 8G
-        rayVersion: 2.35.0
+        rayVersion: 2.44.1
         workerGroupSpecs:
         - groupName: small-group-unit-test-cluster
           maxReplicas: 2
diff --git a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
index 0977d659..825318a0 100644
--- a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
@@ -131,7 +131,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.35.0
+        rayVersion: 2.44.1
         workerGroupSpecs:
         - groupName: small-group-aw-all-params
           maxReplicas: 10
diff --git a/tests/test_cluster_yamls/kueue/aw_kueue.yaml b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
index b5b5ae3f..fd78f070 100644
--- a/tests/test_cluster_yamls/kueue/aw_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
@@ -90,7 +90,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.35.0
+        rayVersion: 2.44.1
         workerGroupSpecs:
         - groupName: small-group-unit-test-aw-kueue
           maxReplicas: 2
diff --git a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
index ad179a0b..a6dd81d7 100644
--- a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
@@ -90,7 +90,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.35.0
+        rayVersion: 2.44.1
         workerGroupSpecs:
         - groupName: small-group-unit-test-cluster-kueue
           maxReplicas: 2
diff --git a/tests/test_cluster_yamls/ray/default-appwrapper.yaml b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
index eadfeaa0..6d1cdcd5 100644
--- a/tests/test_cluster_yamls/ray/default-appwrapper.yaml
+++ b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
@@ -88,7 +88,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.35.0
+        rayVersion: 2.44.1
         workerGroupSpecs:
         - groupName: small-group-default-appwrapper
           maxReplicas: 1
diff --git a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
index 056479e6..38e02f8f 100644
--- a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
+++ b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
@@ -80,7 +80,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.35.0
+  rayVersion: 2.44.1
   workerGroupSpecs:
   - groupName: small-group-default-cluster
     maxReplicas: 1
diff --git a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
index 188319ab..16a703b8 100644
--- a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
@@ -122,7 +122,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.35.0
+  rayVersion: 2.44.1
   workerGroupSpecs:
   - groupName: small-group-test-all-params
     maxReplicas: 10
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
index fe26900d..6600381f 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
@@ -91,7 +91,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.35.0
+        rayVersion: 2.44.1
         workerGroupSpecs:
         - groupName: small-group-test-cluster-a
           maxReplicas: 1
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
index eed571fe..e0e4ae94 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
@@ -91,7 +91,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.35.0
+        rayVersion: 2.44.1
         workerGroupSpecs:
         - groupName: small-group-test-cluster-b
           maxReplicas: 1
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
index 5f5d456c..51136cc7 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
@@ -82,7 +82,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.35.0
+  rayVersion: 2.44.1
   workerGroupSpecs:
   - groupName: small-group-test-cluster-a
     maxReplicas: 1
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
index 3bf894db..e180a442 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
@@ -82,7 +82,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.35.0
+  rayVersion: 2.44.1
   workerGroupSpecs:
   - groupName: small-group-test-rc-b
     maxReplicas: 1

From 82fa656fa8069dd32a03275ecefced46faf034f6 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Tue, 6 May 2025 08:23:26 +0100
Subject: [PATCH 220/254] chore: remove python 3.9 support

---
 .github/workflows/odh-notebooks-sync.yml      |   2 +-
 .github/workflows/publish-documentation.yaml  |   2 +-
 .../additional-demos/hf_interactive.ipynb     |   1 -
 .../additional-demos/local_interactive.ipynb  |   3 +-
 .../additional-demos/ray_job_client.ipynb     |   3 +-
 demo-notebooks/guided-demos/0_basic_ray.ipynb |   3 +-
 .../guided-demos/1_cluster_job_client.ipynb   |   3 +-
 .../guided-demos/2_basic_interactive.ipynb    |   3 +-
 .../guided-demos/3_widget_example.ipynb       |   3 +-
 .../notebook-ex-outputs/0_basic_ray.ipynb     |   3 +-
 .../1_cluster_job_client.ipynb                |   3 +-
 .../2_basic_interactive.ipynb                 |   3 +-
 .../notebook-ex-outputs/interactivetest.yaml  |   4 +-
 .../notebook-ex-outputs/jobtest.yaml          |   4 +-
 .../notebook-ex-outputs/raytest.yaml          |   4 +-
 .../preview_nbs/0_basic_ray.ipynb             |   3 +-
 .../preview_nbs/1_cluster_job_client.ipynb    |   3 +-
 .../preview_nbs/2_basic_interactive.ipynb     |   3 +-
 .../user-docs/cluster-configuration.rst       |   5 +-
 poetry.lock                                   | 315 +-----------------
 pyproject.toml                                |   2 +-
 .../common/utils/unit_test_support.py         |   8 +-
 .../ray/cluster/build_ray_cluster.py          |   5 +-
 .../ray/cluster/test_build_ray_cluster.py     |   3 +-
 src/utils/constants.py                        |   1 +
 tests/e2e/support.py                          |   2 +-
 .../appwrapper/test-case-bad.yaml             |   4 +-
 .../support_clusters/test-aw-a.yaml           |   4 +-
 .../support_clusters/test-aw-b.yaml           |   4 +-
 .../support_clusters/test-rc-a.yaml           |   4 +-
 .../support_clusters/test-rc-b.yaml           |   4 +-
 31 files changed, 46 insertions(+), 368 deletions(-)
 create mode 100644 src/utils/constants.py

diff --git a/.github/workflows/odh-notebooks-sync.yml b/.github/workflows/odh-notebooks-sync.yml
index 0b55890b..91f5aecb 100644
--- a/.github/workflows/odh-notebooks-sync.yml
+++ b/.github/workflows/odh-notebooks-sync.yml
@@ -33,7 +33,7 @@ env:
   REPO_OWNER: ${{ github.event.inputs.codeflare-repository-organization }}
   REPO_NAME: notebooks
   GITHUB_TOKEN: ${{ secrets.CODEFLARE_MACHINE_ACCOUNT_TOKEN }}
-  MINIMUM_SUPPORTED_PYTHON_VERSION: 3.9
+  MINIMUM_SUPPORTED_PYTHON_VERSION: 3.11
 
 jobs:
   build:
diff --git a/.github/workflows/publish-documentation.yaml b/.github/workflows/publish-documentation.yaml
index 80afe7d6..a96891c3 100644
--- a/.github/workflows/publish-documentation.yaml
+++ b/.github/workflows/publish-documentation.yaml
@@ -19,7 +19,7 @@ jobs:
       - name: Install Python
         uses: actions/setup-python@v5
         with:
-          python-version: 3.9
+          python-version: 3.11
       - name: Install Sphinx
         run: |
             sudo apt-get update
diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb
index d75d96ec..fcb45bf6 100644
--- a/demo-notebooks/additional-demos/hf_interactive.ipynb
+++ b/demo-notebooks/additional-demos/hf_interactive.ipynb
@@ -70,7 +70,6 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb
index ed105b45..ed9e5648 100644
--- a/demo-notebooks/additional-demos/local_interactive.ipynb
+++ b/demo-notebooks/additional-demos/local_interactive.ipynb
@@ -37,8 +37,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb
index 4b129190..8d28ad13 100644
--- a/demo-notebooks/additional-demos/ray_job_client.ipynb
+++ b/demo-notebooks/additional-demos/ray_job_client.ipynb
@@ -43,8 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb
index 603a52a2..1e729cc1 100644
--- a/demo-notebooks/guided-demos/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb
@@ -49,8 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
index f33fa2ec..73ef0b2a 100644
--- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
@@ -43,8 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
index fccca9d3..118720aa 100644
--- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
@@ -46,8 +46,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/3_widget_example.ipynb b/demo-notebooks/guided-demos/3_widget_example.ipynb
index ea5ad08a..3f44afe3 100644
--- a/demo-notebooks/guided-demos/3_widget_example.ipynb
+++ b/demo-notebooks/guided-demos/3_widget_example.ipynb
@@ -49,8 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
index fb1a8d61..2ac5109e 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
@@ -49,8 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
index 7e62f52a..ff8d53b7 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
@@ -43,8 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
index fe8f3274..57538aa8 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
@@ -46,8 +46,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml
index fd6500a7..1ac7e603 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml
@@ -81,7 +81,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.35.0-py39-cu121
+                  image: quay.io/modh/ray:2.44.1-py311-cu121
                   imagePullPolicy: Always
                   lifecycle:
                     preStop:
@@ -147,7 +147,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.35.0-py39-cu121
+                  image: quay.io/modh/ray:2.44.1-py311-cu121
                   lifecycle:
                     preStop:
                       exec:
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml
index a33a9cf5..840b4f81 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml
@@ -70,7 +70,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.35.0-py39-cu121
+                  image: quay.io/modh/ray:2.44.1-py311-cu121
                   imagePullPolicy: Always
                   lifecycle:
                     preStop:
@@ -127,7 +127,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.35.0-py39-cu121
+                  image: quay.io/modh/ray:2.44.1-py311-cu121
                   lifecycle:
                     preStop:
                       exec:
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml
index 151d2e28..6dc0b8b6 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml
@@ -70,7 +70,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.35.0-py39-cu121
+                  image: quay.io/modh/ray:2.44.1-py311-cu121
                   imagePullPolicy: Always
                   lifecycle:
                     preStop:
@@ -127,7 +127,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.35.0-py39-cu121
+                  image: quay.io/modh/ray:2.44.1-py311-cu121
                   lifecycle:
                     preStop:
                       exec:
diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
index fb1a8d61..2ac5109e 100644
--- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
@@ -49,8 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
index 34defbf9..d7113ae5 100644
--- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
@@ -43,8 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
index 7f50437f..8fd9ce0d 100644
--- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
@@ -46,8 +46,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.9: 'quay.io/modh/ray:2.35.0-py39-cu121'\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121 '\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index d60e9c92..e08b9f6e 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -35,13 +35,12 @@ requirements for creating the Ray Cluster.
   The default images used by the CodeFlare SDK for creating
   a RayCluster resource depend on the installed Python version:
 
-  - For Python 3.9: `quay.io/modh/ray:2.35.0-py39-cu121`
-  - For Python 3.11: `quay.io/modh/ray:2.44.1-py311-cu121 `
+  - For Python 3.11: `quay.io/modh/ray:2.44.1-py311-cu121`
 
   If you prefer to use a custom Ray image that better suits your
   needs, you can specify it in the image field to override the default.
   If you are using ROCm compatible GPUs you
-  can use `quay.io/modh/ray:2.35.0-py311-rocm62` or `quay.io/modh/ray:2.35.0-py39-rocm62`. You can also find
+  can use `quay.io/modh/ray:2.35.0-py311-rocm62`. You can also find
   documentation on building a custom image
   `here `__.
 
diff --git a/poetry.lock b/poetry.lock
index 1e0d12ab..725ce7e0 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -106,7 +106,6 @@ files = [
 [package.dependencies]
 aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
-async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
@@ -171,7 +170,6 @@ files = [
 ]
 
 [package.dependencies]
-exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
 typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
@@ -301,22 +299,6 @@ files = [
     {file = "async_lru-2.0.5.tar.gz", hash = "sha256:481d52ccdd27275f42c43a928b4a50c3bfb2d67af4e78b170e3e0bb39c66e5bb"},
 ]
 
-[package.dependencies]
-typing_extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
-
-[[package]]
-name = "async-timeout"
-version = "5.0.1"
-description = "Timeout context manager for asyncio programs"
-optional = false
-python-versions = ">=3.8"
-groups = ["main"]
-markers = "python_version < \"3.11\""
-files = [
-    {file = "async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c"},
-    {file = "async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3"},
-]
-
 [[package]]
 name = "attrs"
 version = "25.3.0"
@@ -665,22 +647,6 @@ files = [
     {file = "charset_normalizer-3.4.2.tar.gz", hash = "sha256:5baececa9ecba31eff645232d59845c07aa030f0c81ee70184a90d35099a0e63"},
 ]
 
-[[package]]
-name = "click"
-version = "8.1.8"
-description = "Composable command line interface toolkit"
-optional = false
-python-versions = ">=3.7"
-groups = ["main"]
-markers = "python_version == \"3.9\""
-files = [
-    {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
-    {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "platform_system == \"Windows\""}
-
 [[package]]
 name = "click"
 version = "8.2.0"
@@ -688,7 +654,6 @@ description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version >= \"3.10\""
 files = [
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@@ -964,25 +929,6 @@ files = [
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-[[package]]
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-description = "Backport of PEP 654 (exception groups)"
-optional = false
-python-versions = ">=3.7"
-groups = ["main", "test"]
-markers = "python_version < \"3.11\""
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-
-[package.extras]
-test = ["pytest (>=6)"]
-
 [[package]]
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@@ -1419,31 +1365,6 @@ files = [
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-[[package]]
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-groups = ["docs", "test"]
-markers = "python_version == \"3.9\""
-files = [
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-[package.dependencies]
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-
-[package.extras]
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-cover = ["pytest-cov"]
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-type = ["pytest-mypy"]
-
 [[package]]
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 version = "2.1.0"
@@ -1490,85 +1411,6 @@ pyqt5 = ["pyqt5"]
 pyside6 = ["pyside6"]
 test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"]
 
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-
-[package.extras]
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-
 [[package]]
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@@ -1576,7 +1418,6 @@ description = "IPython: Productive Interactive Computing"
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@@ -1610,7 +1451,6 @@ description = "Defines a variety of Pygments lexers for highlighting IPython cod
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@@ -1851,7 +1690,6 @@ files = [
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 [package.dependencies]
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 [[package]]
@@ -1926,7 +1764,6 @@ files = [
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@@ -1973,7 +1809,6 @@ files = [
 
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-    {file = "numpy-2.0.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26df23238872200f63518dd2aa984cfca675d82469535dc7162dc2ee52d9dd5c"},
-    {file = "numpy-2.0.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a46288ec55ebbd58947d31d72be2c63cbf839f0a63b49cb755022310792a3385"},
-    {file = "numpy-2.0.2.tar.gz", hash = "sha256:883c987dee1880e2a864ab0dc9892292582510604156762362d9326444636e78"},
-]
-
 [[package]]
 name = "numpy"
 version = "2.2.5"
@@ -2531,7 +2303,6 @@ description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "python_version >= \"3.10\""
 files = [
     {file = "numpy-2.2.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f4a922da1729f4c40932b2af4fe84909c7a6e167e6e99f71838ce3a29f3fe26"},
     {file = "numpy-2.2.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b6f91524d31b34f4a5fee24f5bc16dcd1491b668798b6d85585d836c1e633a6a"},
@@ -2731,7 +2502,6 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.22.4", markers = "python_version < \"3.11\""},
     {version = ">=1.23.2", markers = "python_version == \"3.11\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
@@ -2821,7 +2591,7 @@ description = "Pexpect allows easy control of interactive console applications."
 optional = false
 python-versions = "*"
 groups = ["main", "test"]
-markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or python_version == \"3.9\" and sys_platform != \"win32\""
+markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""
 files = [
     {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
     {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
@@ -3073,7 +2843,7 @@ files = [
     {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
     {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
 ]
-markers = {main = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or python_version == \"3.9\" and sys_platform != \"win32\"", test = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or python_version == \"3.9\" and sys_platform != \"win32\" or os_name != \"nt\""}
+markers = {main = "sys_platform != \"win32\" and sys_platform != \"emscripten\"", test = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or os_name != \"nt\""}
 
 [[package]]
 name = "pure-eval"
@@ -3392,11 +3162,9 @@ files = [
 
 [package.dependencies]
 colorama = {version = "*", markers = "sys_platform == \"win32\""}
-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
 iniconfig = "*"
 packaging = "*"
 pluggy = ">=0.12,<2.0"
-tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
@@ -3461,9 +3229,6 @@ files = [
     {file = "python_json_logger-3.3.0.tar.gz", hash = "sha256:12b7e74b17775e7d565129296105bbe3910842d9d0eb083fc83a6a617aa8df84"},
 ]
 
-[package.dependencies]
-typing_extensions = {version = "*", markers = "python_version < \"3.10\""}
-
 [package.extras]
 dev = ["backports.zoneinfo ; python_version < \"3.9\"", "black", "build", "freezegun", "mdx_truly_sane_lists", "mike", "mkdocs", "mkdocs-awesome-pages-plugin", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-material (>=8.5)", "mkdocstrings[python]", "msgspec ; implementation_name != \"pypy\"", "mypy", "orjson ; implementation_name != \"pypy\"", "pylint", "pytest", "tzdata", "validate-pyproject[all]"]
 
@@ -3732,10 +3497,7 @@ colorful = {version = "*", optional = true, markers = "extra == \"default\""}
 filelock = "*"
 frozenlist = "*"
 fsspec = {version = "*", optional = true, markers = "extra == \"data\""}
-grpcio = [
-    {version = ">=1.32.0", optional = true, markers = "python_version < \"3.10\" and extra == \"default\""},
-    {version = ">=1.42.0", optional = true, markers = "python_version >= \"3.10\" and extra == \"default\""},
-]
+grpcio = {version = ">=1.42.0", optional = true, markers = "python_version >= \"3.10\" and extra == \"default\""}
 jsonschema = "*"
 msgpack = ">=1.0.0,<2.0.0"
 numpy = {version = ">=1.20", optional = true, markers = "extra == \"data\""}
@@ -3876,7 +3638,6 @@ files = [
 [package.dependencies]
 markdown-it-py = ">=2.2.0"
 pygments = ">=2.13.0,<3.0.0"
-typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
@@ -4150,7 +3911,6 @@ babel = ">=2.13"
 colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\""}
 docutils = ">=0.20,<0.22"
 imagesize = ">=1.3"
-importlib-metadata = {version = ">=6.0", markers = "python_version < \"3.10\""}
 Jinja2 = ">=3.1"
 packaging = ">=23.0"
 Pygments = ">=2.17"
@@ -4162,7 +3922,6 @@ sphinxcontrib-htmlhelp = ">=2.0.0"
 sphinxcontrib-jsmath = "*"
 sphinxcontrib-qthelp = "*"
 sphinxcontrib-serializinghtml = ">=1.1.9"
-tomli = {version = ">=2", markers = "python_version < \"3.11\""}
 
 [package.extras]
 docs = ["sphinxcontrib-websupport"]
@@ -4365,49 +4124,6 @@ webencodings = ">=0.4"
 doc = ["sphinx", "sphinx_rtd_theme"]
 test = ["pytest", "ruff"]
 
-[[package]]
-name = "tomli"
-version = "2.2.1"
-description = "A lil' TOML parser"
-optional = false
-python-versions = ">=3.8"
-groups = ["docs", "test"]
-markers = "python_version < \"3.11\""
-files = [
-    {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
-    {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
-    {file = "tomli-2.2.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ece47d672db52ac607a3d9599a9d48dcb2f2f735c6c2d1f34130085bb12b112a"},
-    {file = "tomli-2.2.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6972ca9c9cc9f0acaa56a8ca1ff51e7af152a9f87fb64623e31d5c83700080ee"},
-    {file = "tomli-2.2.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c954d2250168d28797dd4e3ac5cf812a406cd5a92674ee4c8f123c889786aa8e"},
-    {file = "tomli-2.2.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:8dd28b3e155b80f4d54beb40a441d366adcfe740969820caf156c019fb5c7ec4"},
-    {file = "tomli-2.2.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:e59e304978767a54663af13c07b3d1af22ddee3bb2fb0618ca1593e4f593a106"},
-    {file = "tomli-2.2.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:33580bccab0338d00994d7f16f4c4ec25b776af3ffaac1ed74e0b3fc95e885a8"},
-    {file = "tomli-2.2.1-cp311-cp311-win32.whl", hash = "sha256:465af0e0875402f1d226519c9904f37254b3045fc5084697cefb9bdde1ff99ff"},
-    {file = "tomli-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:2d0f2fdd22b02c6d81637a3c95f8cd77f995846af7414c5c4b8d0545afa1bc4b"},
-    {file = "tomli-2.2.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:4a8f6e44de52d5e6c657c9fe83b562f5f4256d8ebbfe4ff922c495620a7f6cea"},
-    {file = "tomli-2.2.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8d57ca8095a641b8237d5b079147646153d22552f1c637fd3ba7f4b0b29167a8"},
-    {file = "tomli-2.2.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e340144ad7ae1533cb897d406382b4b6fede8890a03738ff1683af800d54192"},
-    {file = "tomli-2.2.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db2b95f9de79181805df90bedc5a5ab4c165e6ec3fe99f970d0e302f384ad222"},
-    {file = "tomli-2.2.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40741994320b232529c802f8bc86da4e1aa9f413db394617b9a256ae0f9a7f77"},
-    {file = "tomli-2.2.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:400e720fe168c0f8521520190686ef8ef033fb19fc493da09779e592861b78c6"},
-    {file = "tomli-2.2.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:02abe224de6ae62c19f090f68da4e27b10af2b93213d36cf44e6e1c5abd19fdd"},
-    {file = "tomli-2.2.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b82ebccc8c8a36f2094e969560a1b836758481f3dc360ce9a3277c65f374285e"},
-    {file = "tomli-2.2.1-cp312-cp312-win32.whl", hash = "sha256:889f80ef92701b9dbb224e49ec87c645ce5df3fa2cc548664eb8a25e03127a98"},
-    {file = "tomli-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:7fc04e92e1d624a4a63c76474610238576942d6b8950a2d7f908a340494e67e4"},
-    {file = "tomli-2.2.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f4039b9cbc3048b2416cc57ab3bda989a6fcf9b36cf8937f01a6e731b64f80d7"},
-    {file = "tomli-2.2.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:286f0ca2ffeeb5b9bd4fcc8d6c330534323ec51b2f52da063b11c502da16f30c"},
-    {file = "tomli-2.2.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a92ef1a44547e894e2a17d24e7557a5e85a9e1d0048b0b5e7541f76c5032cb13"},
-    {file = "tomli-2.2.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9316dc65bed1684c9a98ee68759ceaed29d229e985297003e494aa825ebb0281"},
-    {file = "tomli-2.2.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e85e99945e688e32d5a35c1ff38ed0b3f41f43fad8df0bdf79f72b2ba7bc5272"},
-    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ac065718db92ca818f8d6141b5f66369833d4a80a9d74435a268c52bdfa73140"},
-    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:d920f33822747519673ee656a4b6ac33e382eca9d331c87770faa3eef562aeb2"},
-    {file = "tomli-2.2.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:a198f10c4d1b1375d7687bc25294306e551bf1abfa4eace6650070a5c1ae2744"},
-    {file = "tomli-2.2.1-cp313-cp313-win32.whl", hash = "sha256:d3f5614314d758649ab2ab3a62d4f2004c825922f9e370b29416484086b264ec"},
-    {file = "tomli-2.2.1-cp313-cp313-win_amd64.whl", hash = "sha256:a38aa0308e754b0e3c67e344754dff64999ff9b513e691d0e786265c93583c69"},
-    {file = "tomli-2.2.1-py3-none-any.whl", hash = "sha256:cb55c73c5f4408779d0cf3eef9f762b9c9f147a77de7b258bef0a5628adc85cc"},
-    {file = "tomli-2.2.1.tar.gz", hash = "sha256:cd45e1dc79c835ce60f7404ec8119f2eb06d38b1deba146f07ced3bbc44505ff"},
-]
-
 [[package]]
 name = "tornado"
 version = "6.4.2"
@@ -4808,28 +4524,7 @@ idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.1"
 
-[[package]]
-name = "zipp"
-version = "3.21.0"
-description = "Backport of pathlib-compatible object wrapper for zip files"
-optional = false
-python-versions = ">=3.9"
-groups = ["docs", "test"]
-markers = "python_version == \"3.9\""
-files = [
-    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
-    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
-]
-
-[package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
-cover = ["pytest-cov"]
-doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
-type = ["pytest-mypy"]
-
 [metadata]
 lock-version = "2.1"
-python-versions = "^3.9"
-content-hash = "6dd8c3cff721090b386fbbe8d8fe7c3bea52570f79605dacb7b9193d546eb2a3"
+python-versions = "^3.11"
+content-hash = "d04590af4fd433110720e9c0a70760c6127ee6d8e40a4b2dfc513673bc91850d"
diff --git a/pyproject.toml b/pyproject.toml
index f3bde976..8e383671 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -20,7 +20,7 @@ homepage = "https://github.com/project-codeflare/codeflare-sdk"
 keywords = ['codeflare', 'python', 'sdk', 'client', 'batch', 'scale']
 
 [tool.poetry.dependencies]
-python = "^3.9"
+python = "^3.11"
 openshift-client = "1.0.18"
 rich = ">=12.5,<14.0"
 ray = {version = "2.44.1", extras = ["data", "default"]}
diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index bf437009..53fbc696 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -68,7 +68,7 @@ def create_cluster_wrong_type():
         worker_extended_resource_requests={"nvidia.com/gpu": 7},
         appwrapper=True,
         image_pull_secrets=["unit-test-pull-secret"],
-        image="quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06",
+        image="quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31",
         write_to_file=True,
         labels={1: 1},
     )
@@ -273,11 +273,9 @@ def apply_template(yaml_file_path, variables):
 
 
 def get_expected_image():
+    # TODO: Add Python 3.12 support
     python_version = sys.version_info
-    if python_version.major == 3 and python_version.minor == 9:
-        return "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06"
-    else:
-        return "quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31"
+    return "quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31"
 
 
 def get_template_variables():
diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index 2b8180a2..e4e02f76 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -20,6 +20,7 @@
 from ...common import _kube_api_error_handling
 from ...common.kubernetes_cluster import get_api_client, config_check
 from kubernetes.client.exceptions import ApiException
+from utils.constants import RAY_VERSION
 import codeflare_sdk
 import os
 
@@ -93,7 +94,6 @@
 ]
 
 SUPPORTED_PYTHON_VERSIONS = {
-    "3.9": "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06",
     "3.11": "quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31",
 }
 
@@ -105,7 +105,6 @@ def build_ray_cluster(cluster: "codeflare_sdk.ray.cluster.Cluster"):
     The resource is a dict template which uses Kubernetes Objects for creating metadata, resource requests,
     specs and containers. The result is sanitised and returned either as a dict or written as a yaml file.
     """
-    ray_version = "2.44.1"
 
     # GPU related variables
     head_gpu_count, worker_gpu_count = head_worker_gpu_count_from_cluster(cluster)
@@ -123,7 +122,7 @@ def build_ray_cluster(cluster: "codeflare_sdk.ray.cluster.Cluster"):
         "kind": "RayCluster",
         "metadata": get_metadata(cluster),
         "spec": {
-            "rayVersion": ray_version,
+            "rayVersion": RAY_VERSION,
             "enableInTreeAutoscaling": False,
             "autoscalerOptions": {
                 "upscalingMode": "Default",
diff --git a/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
index 7d6d3d0a..42e1e157 100644
--- a/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
@@ -41,7 +41,6 @@ def test_update_image_without_supported_python_version(mocker):
     mocker.patch.dict(
         "codeflare_sdk.ray.cluster.build_ray_cluster.SUPPORTED_PYTHON_VERSIONS",
         {
-            "3.9": "ray-py3.9",
             "3.11": "ray-py3.11",
         },
     )
@@ -60,7 +59,7 @@ def test_update_image_without_supported_python_version(mocker):
 
     # Assert that the warning was called with the expected message
     warn_mock.assert_called_once_with(
-        "No default Ray image defined for 3.8. Please provide your own image or use one of the following python versions: 3.9, 3.11."
+        "No default Ray image defined for 3.8. Please provide your own image or use one of the following python versions: 3.11."
     )
 
     # Assert that no image was set since the Python version is not supported
diff --git a/src/utils/constants.py b/src/utils/constants.py
new file mode 100644
index 00000000..178f6ac3
--- /dev/null
+++ b/src/utils/constants.py
@@ -0,0 +1 @@
+RAY_VERSION = "2.44.1"
diff --git a/tests/e2e/support.py b/tests/e2e/support.py
index 5e4ddbdf..d7bee805 100644
--- a/tests/e2e/support.py
+++ b/tests/e2e/support.py
@@ -28,7 +28,7 @@ def get_ray_cluster(cluster_name, namespace):
 
 
 def get_ray_image():
-    default_ray_image = "quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06"
+    default_ray_image = "quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31"
     return os.getenv("RAY_IMAGE", default_ray_image)
 
 
diff --git a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
index 4a14f01f..cb1ed471 100644
--- a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
+++ b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
@@ -42,7 +42,7 @@ spec:
                   valueFrom:
                     fieldRef:
                       fieldPath: status.podIP
-                image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
                 imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
@@ -89,7 +89,7 @@ spec:
                   valueFrom:
                     fieldRef:
                       fieldPath: status.podIP
-                image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+                image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
index 6600381f..9c89b593 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
@@ -38,7 +38,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+              - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
                 imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
@@ -109,7 +109,7 @@ spec:
                 key: value
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+              - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
index e0e4ae94..b2701f20 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
@@ -38,7 +38,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+              - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
                 imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
@@ -109,7 +109,7 @@ spec:
                 key: value
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+              - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
index 51136cc7..9ece6661 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
@@ -29,7 +29,7 @@ spec:
     template:
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+        - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
           imagePullPolicy: IfNotPresent
           lifecycle:
             preStop:
@@ -100,7 +100,7 @@ spec:
           key: value
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+        - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
           lifecycle:
             preStop:
               exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
index e180a442..9d52e300 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
@@ -29,7 +29,7 @@ spec:
     template:
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+        - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
           imagePullPolicy: IfNotPresent
           lifecycle:
             preStop:
@@ -100,7 +100,7 @@ spec:
           key: value
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:0d715f92570a2997381b7cafc0e224cfa25323f18b9545acfd23bc2b71576d06
+        - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
           lifecycle:
             preStop:
               exec:

From 53425bbc24a7dbc6be2445d5338950da2cfdc856 Mon Sep 17 00:00:00 2001
From: kramaranya 
Date: Mon, 14 Apr 2025 12:58:37 +0100
Subject: [PATCH 221/254] feat: enable Ray cluster head pod persistency

Signed-off-by: kramaranya 
---
 .../user-docs/cluster-configuration.rst       | 42 ++++++++++++++++++
 .../ray/cluster/build_ray_cluster.py          | 25 +++++++++++
 src/codeflare_sdk/ray/cluster/config.py       | 44 +++++++++++++++++--
 3 files changed, 107 insertions(+), 4 deletions(-)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index e08b9f6e..7ca871e7 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -97,6 +97,48 @@ Custom Volumes/Volume Mounts
 | For more information on creating Volumes and Volume Mounts with Python check out the Python Kubernetes docs (`Volumes `__, `Volume Mounts `__).
 | You can also find further information on Volumes and Volume Mounts by visiting the Kubernetes `documentation `__.
 
+GCS Fault Tolerance
+------------------
+By default, the state of the Ray cluster is transient to the head Pod. Whatever triggers a restart of the head Pod results in losing that state, including Ray Cluster history. To make Ray cluster state persistent you can enable Global Control Service (GCS) fault tolerance with an external Redis storage.
+
+To configure GCS fault tolerance you need to set the following parameters:
+
+.. list-table::
+   :header-rows: 1
+   :widths: auto
+
+   * - Parameter
+     - Description
+   * - ``enable_gcs_ft``
+     - Boolean to enable GCS fault tolerance
+   * - ``redis_address``
+     - Address of the external Redis service, ex: "redis:6379"
+   * - ``redis_password_secret``
+     - Dictionary with 'name' and 'key' fields specifying the Kubernetes secret for Redis password
+   * - ``external_storage_namespace``
+     - Custom storage namespace for GCS fault tolerance (by default, KubeRay sets it to the RayCluster's UID)
+
+Example configuration:
+
+.. code:: python
+
+   from codeflare_sdk import Cluster, ClusterConfiguration
+
+   cluster = Cluster(ClusterConfiguration(
+       name='ray-cluster-with-persistence',
+       num_workers=2,
+       enable_gcs_ft=True,
+       redis_address="redis:6379",
+       redis_password_secret={
+           "name": "redis-password-secret",
+           "key": "password"
+       },
+       # external_storage_namespace="my-custom-namespace" # Optional: Custom namespace for GCS data in Redis
+   ))
+
+.. note::
+   You need to have a Redis instance deployed in your Kubernetes cluster before using this feature.
+
 Deprecating Parameters
 ----------------------
 
diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index e4e02f76..9c626200 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -169,6 +169,31 @@ def build_ray_cluster(cluster: "codeflare_sdk.ray.cluster.Cluster"):
         },
     }
 
+    if cluster.config.enable_gcs_ft:
+        if not cluster.config.redis_address:
+            raise ValueError(
+                "redis_address must be provided when enable_gcs_ft is True"
+            )
+
+        gcs_ft_options = {"redisAddress": cluster.config.redis_address}
+
+        if cluster.config.external_storage_namespace:
+            gcs_ft_options[
+                "externalStorageNamespace"
+            ] = cluster.config.external_storage_namespace
+
+        if cluster.config.redis_password_secret:
+            gcs_ft_options["redisPassword"] = {
+                "valueFrom": {
+                    "secretKeyRef": {
+                        "name": cluster.config.redis_password_secret["name"],
+                        "key": cluster.config.redis_password_secret["key"],
+                    }
+                }
+            }
+
+        resource["spec"]["gcsFaultToleranceOptions"] = gcs_ft_options
+
     config_check()
     k8s_client = get_api_client() or client.ApiClient()
 
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index ab64be83..4f646baa 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -100,6 +100,14 @@ class ClusterConfiguration:
             A list of V1Volume objects to add to the Cluster
         volume_mounts:
             A list of V1VolumeMount objects to add to the Cluster
+        enable_gcs_ft:
+            A boolean indicating whether to enable GCS fault tolerance.
+        redis_address:
+            The address of the Redis server to use for GCS fault tolerance, required when enable_gcs_ft is True.
+        redis_password_secret:
+            Kubernetes secret reference containing Redis password. ex: {"name": "secret-name", "key": "password-key"}
+        external_storage_namespace:
+            The storage namespace to use for GCS fault tolerance. By default, KubeRay sets it to the UID of RayCluster.
     """
 
     name: str
@@ -142,6 +150,10 @@ class ClusterConfiguration:
     annotations: Dict[str, str] = field(default_factory=dict)
     volumes: list[V1Volume] = field(default_factory=list)
     volume_mounts: list[V1VolumeMount] = field(default_factory=list)
+    enable_gcs_ft: bool = False
+    redis_address: Optional[str] = None
+    redis_password_secret: Optional[Dict[str, str]] = None
+    external_storage_namespace: Optional[str] = None
 
     def __post_init__(self):
         if not self.verify_tls:
@@ -149,6 +161,27 @@ def __post_init__(self):
                 "Warning: TLS verification has been disabled - Endpoint checks will be bypassed"
             )
 
+        if self.enable_gcs_ft:
+            if not self.redis_address:
+                raise ValueError(
+                    "redis_address must be provided when enable_gcs_ft is True"
+                )
+
+            if self.redis_password_secret and not isinstance(
+                self.redis_password_secret, dict
+            ):
+                raise ValueError(
+                    "redis_password_secret must be a dictionary with 'name' and 'key' fields"
+                )
+
+            if self.redis_password_secret and (
+                "name" not in self.redis_password_secret
+                or "key" not in self.redis_password_secret
+            ):
+                raise ValueError(
+                    "redis_password_secret must contain both 'name' and 'key' fields"
+                )
+
         self._validate_types()
         self._memory_to_resource()
         self._memory_to_string()
@@ -283,10 +316,13 @@ def check_type(value, expected_type):
                 else:
                     return True
             if origin_type is dict:
-                return all(
-                    check_type(k, args[0]) and check_type(v, args[1])
-                    for k, v in value.items()
-                )
+                if value is not None:
+                    return all(
+                        check_type(k, args[0]) and check_type(v, args[1])
+                        for k, v in value.items()
+                    )
+                else:
+                    return True
             if origin_type is tuple:
                 return all(check_type(elem, etype) for elem, etype in zip(value, args))
             if expected_type is int:

From e46ee4c71b1c7c9ad92d21a3317dd61eb40994ec Mon Sep 17 00:00:00 2001
From: kramaranya 
Date: Thu, 24 Apr 2025 15:17:59 +0100
Subject: [PATCH 222/254] test: add unit tests for gcs fault tolerance

Signed-off-by: kramaranya 
---
 .../ray/cluster/test_build_ray_cluster.py     | 45 +++++++++++++++-
 src/codeflare_sdk/ray/cluster/test_config.py  | 51 +++++++++++++++++++
 2 files changed, 95 insertions(+), 1 deletion(-)

diff --git a/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
index 42e1e157..6d322b5f 100644
--- a/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
@@ -13,8 +13,9 @@
 # limitations under the License.
 from collections import namedtuple
 import sys
-from .build_ray_cluster import gen_names, update_image
+from .build_ray_cluster import gen_names, update_image, build_ray_cluster
 import uuid
+from codeflare_sdk.ray.cluster.cluster import ClusterConfiguration, Cluster
 
 
 def test_gen_names_with_name(mocker):
@@ -64,3 +65,45 @@ def test_update_image_without_supported_python_version(mocker):
 
     # Assert that no image was set since the Python version is not supported
     assert image is None
+
+
+def test_build_ray_cluster_with_gcs_ft(mocker):
+    mocker.patch("kubernetes.config.load_kube_config", return_value="ignore")
+    mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object")
+
+    cluster = Cluster(
+        ClusterConfiguration(
+            name="test",
+            namespace="ns",
+            enable_gcs_ft=True,
+            redis_address="redis:6379",
+            redis_password_secret={"name": "redis-password-secret", "key": "password"},
+            external_storage_namespace="new-ns",
+        )
+    )
+
+    mocker.patch("codeflare_sdk.ray.cluster.build_ray_cluster.config_check")
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.build_ray_cluster.get_api_client", return_value=None
+    )
+    mocker.patch(
+        "codeflare_sdk.ray.cluster.build_ray_cluster.update_image", return_value=None
+    )
+
+    resource = build_ray_cluster(cluster)
+
+    assert "spec" in resource
+    assert "gcsFaultToleranceOptions" in resource["spec"]
+
+    gcs_ft_options = resource["spec"]["gcsFaultToleranceOptions"]
+
+    assert gcs_ft_options["redisAddress"] == "redis:6379"
+    assert gcs_ft_options["externalStorageNamespace"] == "new-ns"
+    assert (
+        gcs_ft_options["redisPassword"]["valueFrom"]["secretKeyRef"]["name"]
+        == "redis-password-secret"
+    )
+    assert (
+        gcs_ft_options["redisPassword"]["valueFrom"]["secretKeyRef"]["key"]
+        == "password"
+    )
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index 34cc4237..e6bcb8ba 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -153,6 +153,57 @@ def test_cluster_config_deprecation_conversion(mocker):
     assert config.worker_cpu_limits == 2
 
 
+def test_gcs_fault_tolerance_config_validation():
+    config = ClusterConfiguration(
+        name="test",
+        namespace="ns",
+        enable_gcs_ft=True,
+        redis_address="redis:6379",
+        redis_password_secret={"name": "redis-password-secret", "key": "password"},
+        external_storage_namespace="new-ns",
+    )
+
+    assert config.enable_gcs_ft is True
+    assert config.redis_address == "redis:6379"
+    assert config.redis_password_secret == {
+        "name": "redis-password-secret",
+        "key": "password",
+    }
+    assert config.external_storage_namespace == "new-ns"
+
+    try:
+        ClusterConfiguration(name="test", namespace="ns", enable_gcs_ft=True)
+    except ValueError as e:
+        assert str(e) in "redis_address must be provided when enable_gcs_ft is True"
+
+    try:
+        ClusterConfiguration(
+            name="test",
+            namespace="ns",
+            enable_gcs_ft=True,
+            redis_address="redis:6379",
+            redis_password_secret={"secret"},
+        )
+    except ValueError as e:
+        assert (
+            str(e)
+            in "redis_password_secret must be a dictionary with 'name' and 'key' fields"
+        )
+
+    try:
+        ClusterConfiguration(
+            name="test",
+            namespace="ns",
+            enable_gcs_ft=True,
+            redis_address="redis:6379",
+            redis_password_secret={"wrong": "format"},
+        )
+    except ValueError as e:
+        assert (
+            str(e) in "redis_password_secret must contain both 'name' and 'key' fields"
+        )
+
+
 # Make sure to always keep this function last
 def test_cleanup():
     os.remove(f"{aw_dir}test-all-params.yaml")

From 340f97312e756ce3964c131e046e61f0d36139ed Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Thu, 6 Mar 2025 13:40:26 +0000
Subject: [PATCH 223/254] fix(RHOAIENG-20531): propagate annotations to ray
 pods

Signed-off-by: Pat O'Connor 
---
 .../common/utils/unit_test_support.py         |  5 ++++-
 .../ray/cluster/build_ray_cluster.py          | 19 +++++++++++++------
 src/codeflare_sdk/ray/cluster/test_config.py  |  2 ++
 .../appwrapper/unit-test-all-params.yaml      | 10 ++++++++++
 .../ray/unit-test-all-params.yaml             | 10 ++++++++++
 5 files changed, 39 insertions(+), 7 deletions(-)

diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 53fbc696..79c7bf01 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -496,7 +496,10 @@ def create_cluster_all_config_params(mocker, cluster_name, is_appwrapper) -> Clu
         extended_resource_mapping={"example.com/gpu": "GPU", "intel.com/gpu": "TPU"},
         overwrite_default_resource_mapping=True,
         local_queue="local-queue-default",
-        annotations={"key1": "value1", "key2": "value2"},
+        annotations={
+            "key1": "value1",
+            "key2": "value2",
+        },
         volumes=volumes,
         volume_mounts=volume_mounts,
     )
diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index 9c626200..317091a8 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -138,13 +138,16 @@ def build_ray_cluster(cluster: "codeflare_sdk.ray.cluster.Cluster"):
                     "num-gpus": str(head_gpu_count),
                     "resources": head_resources,
                 },
-                "template": {
-                    "spec": get_pod_spec(
+                "template": V1PodTemplateSpec(
+                    metadata=V1ObjectMeta(cluster.config.annotations)
+                    if cluster.config.annotations
+                    else None,
+                    spec=get_pod_spec(
                         cluster,
                         [get_head_container_spec(cluster)],
                         cluster.config.head_tolerations,
-                    )
-                },
+                    ),
+                ),
             },
             "workerGroupSpecs": [
                 {
@@ -158,11 +161,14 @@ def build_ray_cluster(cluster: "codeflare_sdk.ray.cluster.Cluster"):
                         "resources": worker_resources,
                     },
                     "template": V1PodTemplateSpec(
+                        metadata=V1ObjectMeta(cluster.config.annotations)
+                        if cluster.config.annotations
+                        else None,
                         spec=get_pod_spec(
                             cluster,
                             [get_worker_container_spec(cluster)],
                             cluster.config.worker_tolerations,
-                        )
+                        ),
                     ),
                 }
             ],
@@ -215,7 +221,7 @@ def build_ray_cluster(cluster: "codeflare_sdk.ray.cluster.Cluster"):
 # Metadata related functions
 def get_metadata(cluster: "codeflare_sdk.ray.cluster.Cluster"):
     """
-    The get_metadata() function builds and returns a V1ObjectMeta Object using cluster configurtation parameters
+    The get_metadata() function builds and returns a V1ObjectMeta Object using cluster configuration parameters
     """
     object_meta = V1ObjectMeta(
         name=cluster.config.name,
@@ -227,6 +233,7 @@ def get_metadata(cluster: "codeflare_sdk.ray.cluster.Cluster"):
     annotations = with_nb_annotations(cluster.config.annotations)
     if annotations != {}:
         object_meta.annotations = annotations  # As annotations are not a guarantee they are appended to the metadata after creation.
+
     return object_meta
 
 
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index e6bcb8ba..6007f60b 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -41,6 +41,7 @@ def test_default_cluster_creation(mocker):
         f"{expected_clusters_dir}/ray/default-ray-cluster.yaml",
         get_template_variables(),
     )
+
     assert cluster.resource_yaml == expected_rc
 
 
@@ -114,6 +115,7 @@ def test_config_creation_all_parameters(mocker):
 @pytest.mark.filterwarnings("ignore::UserWarning")
 def test_all_config_params_aw(mocker):
     create_cluster_all_config_params(mocker, "aw-all-params", True)
+
     assert filecmp.cmp(
         f"{aw_dir}aw-all-params.yaml",
         f"{expected_clusters_dir}/appwrapper/unit-test-all-params.yaml",
diff --git a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
index 825318a0..f1b75410 100644
--- a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
@@ -42,6 +42,11 @@ spec:
             resources: '"{\"TPU\": 2}"'
           serviceType: ClusterIP
           template:
+            metadata:
+              annotations:
+                app.kubernetes.io/managed-by: test-prefix
+                key1: value1
+                key2: value2
             spec:
               containers:
               - env:
@@ -142,6 +147,11 @@ spec:
             resources: '"{}"'
           replicas: 10
           template:
+            metadata:
+              annotations:
+                app.kubernetes.io/managed-by: test-prefix
+                key1: value1
+                key2: value2
             spec:
               containers:
               - env:
diff --git a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
index 16a703b8..d5d8059d 100644
--- a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
@@ -33,6 +33,11 @@ spec:
       resources: '"{\"TPU\": 2}"'
     serviceType: ClusterIP
     template:
+      metadata:
+        annotations:
+          app.kubernetes.io/managed-by: test-prefix
+          key1: value1
+          key2: value2
       spec:
         containers:
         - env:
@@ -133,6 +138,11 @@ spec:
       resources: '"{}"'
     replicas: 10
     template:
+      metadata:
+        annotations:
+          app.kubernetes.io/managed-by: test-prefix
+          key1: value1
+          key2: value2
       spec:
         containers:
         - env:

From 028d0d5511246a5ddd586b5d1cc2950288c3ca20 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Tue, 13 May 2025 16:03:30 +0100
Subject: [PATCH 224/254] fix: fix broken utils directory for constants.py

---
 src/{ => codeflare_sdk/common}/utils/constants.py  | 0
 src/codeflare_sdk/ray/cluster/build_ray_cluster.py | 2 +-
 2 files changed, 1 insertion(+), 1 deletion(-)
 rename src/{ => codeflare_sdk/common}/utils/constants.py (100%)

diff --git a/src/utils/constants.py b/src/codeflare_sdk/common/utils/constants.py
similarity index 100%
rename from src/utils/constants.py
rename to src/codeflare_sdk/common/utils/constants.py
diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index 317091a8..2a3436b2 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -20,7 +20,7 @@
 from ...common import _kube_api_error_handling
 from ...common.kubernetes_cluster import get_api_client, config_check
 from kubernetes.client.exceptions import ApiException
-from utils.constants import RAY_VERSION
+from ...common.utils.constants import RAY_VERSION
 import codeflare_sdk
 import os
 

From 93e9890da1ce8e6fabab16924458546acfdd1ce1 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Tue, 20 May 2025 09:21:43 +0100
Subject: [PATCH 225/254] fix: port forward for local interactive tests

---
 .github/workflows/e2e_tests.yaml             |  8 ++-
 tests/e2e/local_interactive_sdk_kind_test.py | 59 +++++++++++++++-----
 tests/e2e/support.py                         |  2 -
 3 files changed, 52 insertions(+), 17 deletions(-)

diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index fca6d6e7..cb6d4b8d 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -104,8 +104,12 @@ jobs:
           kubectl create clusterrolebinding sdk-user-localqueue-creator --clusterrole=localqueue-creator --user=sdk-user
           kubectl create clusterrole list-secrets --verb=get,list --resource=secrets
           kubectl create clusterrolebinding sdk-user-list-secrets --clusterrole=list-secrets --user=sdk-user
-          kubectl create clusterrole pod-creator --verb=get,list --resource=pods
+          kubectl create clusterrole pod-creator --verb=get,list,watch --resource=pods
           kubectl create clusterrolebinding sdk-user-pod-creator --clusterrole=pod-creator --user=sdk-user
+          kubectl create clusterrole service-reader --verb=get,list,watch --resource=services
+          kubectl create clusterrolebinding sdk-user-service-reader --clusterrole=service-reader --user=sdk-user
+          kubectl create clusterrole port-forward-pods --verb=create --resource=pods/portforward
+          kubectl create clusterrolebinding sdk-user-port-forward-pods-binding --clusterrole=port-forward-pods --user=sdk-user
           kubectl config use-context sdk-user
 
       - name: Run e2e tests
@@ -117,7 +121,7 @@ jobs:
           pip install poetry
           poetry install --with test,docs
           echo "Running e2e tests..."
-          poetry run pytest -v -s ./tests/e2e -m 'kind and nvidia_gpu' > ${CODEFLARE_TEST_OUTPUT_DIR}/pytest_output.log 2>&1
+          poetry run pytest -v -s --log-cli-level=INFO ./tests/e2e/local_interactive_sdk_kind_test.py::TestRayLocalInteractiveKind::test_local_interactives_nvidia_gpu > ${CODEFLARE_TEST_OUTPUT_DIR}/pytest_output.log 2>&1
         env:
           GRPC_DNS_RESOLVER: "native"
 
diff --git a/tests/e2e/local_interactive_sdk_kind_test.py b/tests/e2e/local_interactive_sdk_kind_test.py
index c20fd879..eb5066db 100644
--- a/tests/e2e/local_interactive_sdk_kind_test.py
+++ b/tests/e2e/local_interactive_sdk_kind_test.py
@@ -1,23 +1,31 @@
 from codeflare_sdk import (
     Cluster,
     ClusterConfiguration,
-    TokenAuthentication,
     generate_cert,
 )
 
 import pytest
 import ray
 import math
+import subprocess
 
 from support import *
 
 
 @pytest.mark.kind
-class TestRayLocalInteractiveOauth:
+class TestRayLocalInteractiveKind:
     def setup_method(self):
         initialize_kubernetes_client(self)
+        self.port_forward_process = None
+
+    def cleanup_port_forward(self):
+        if self.port_forward_process:
+            self.port_forward_process.terminate()
+            self.port_forward_process.wait(timeout=10)
+            self.port_forward_process = None
 
     def teardown_method(self):
+        self.cleanup_port_forward()
         delete_namespace(self)
         delete_kueue_resources(self)
 
@@ -39,6 +47,8 @@ def run_local_interactives(
     ):
         cluster_name = "test-ray-cluster-li"
 
+        ray.shutdown()
+
         cluster = Cluster(
             ClusterConfiguration(
                 name=cluster_name,
@@ -49,25 +59,24 @@ def run_local_interactives(
                 head_memory_requests=2,
                 head_memory_limits=2,
                 worker_cpu_requests="500m",
-                worker_cpu_limits=1,
+                worker_cpu_limits="500m",
                 worker_memory_requests=1,
                 worker_memory_limits=4,
                 worker_extended_resource_requests={gpu_resource_name: number_of_gpus},
-                write_to_file=True,
                 verify_tls=False,
             )
         )
+
         cluster.up()
+
         cluster.wait_ready()
+        cluster.status()
 
         generate_cert.generate_tls_cert(cluster_name, self.namespace)
         generate_cert.export_env(cluster_name, self.namespace)
 
         print(cluster.local_client_url())
 
-        ray.shutdown()
-        ray.init(address=cluster.local_client_url(), logging_level="DEBUG")
-
         @ray.remote(num_gpus=number_of_gpus / 2)
         def heavy_calculation_part(num_iterations):
             result = 0.0
@@ -84,10 +93,34 @@ def heavy_calculation(num_iterations):
             )
             return sum(results)
 
-        ref = heavy_calculation.remote(3000)
-        result = ray.get(ref)
-        assert result == 1789.4644387076714
-        ray.cancel(ref)
-        ray.shutdown()
+        # Attempt to port forward
+        try:
+            local_port = "20001"
+            ray_client_port = "10001"
+
+            port_forward_cmd = [
+                "kubectl",
+                "port-forward",
+                "-n",
+                self.namespace,
+                f"svc/{cluster_name}-head-svc",
+                f"{local_port}:{ray_client_port}",
+            ]
+            self.port_forward_process = subprocess.Popen(
+                port_forward_cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL
+            )
+
+            client_url = f"ray://localhost:{local_port}"
+            cluster.status()
+
+            ray.init(address=client_url, logging_level="INFO")
+
+            ref = heavy_calculation.remote(3000)
+            result = ray.get(ref)
+            assert result == 1789.4644387076714
+            ray.cancel(ref)
+            ray.shutdown()
 
-        cluster.down()
+            cluster.down()
+        finally:
+            self.cleanup_port_forward()
diff --git a/tests/e2e/support.py b/tests/e2e/support.py
index d7bee805..46dd4e70 100644
--- a/tests/e2e/support.py
+++ b/tests/e2e/support.py
@@ -1,11 +1,9 @@
-import json
 import os
 import random
 import string
 import subprocess
 from codeflare_sdk import get_cluster
 from kubernetes import client, config
-import kubernetes.client
 from codeflare_sdk.common.kubernetes_cluster.kube_api_helpers import (
     _kube_api_error_handling,
 )

From 78ec732c49772edaf7544b6171b23aa07e89e9c3 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Tue, 3 Jun 2025 16:27:18 +0100
Subject: [PATCH 226/254] fix: run all E2Es

---
 .github/workflows/e2e_tests.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index cb6d4b8d..fc80af56 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -121,7 +121,7 @@ jobs:
           pip install poetry
           poetry install --with test,docs
           echo "Running e2e tests..."
-          poetry run pytest -v -s --log-cli-level=INFO ./tests/e2e/local_interactive_sdk_kind_test.py::TestRayLocalInteractiveKind::test_local_interactives_nvidia_gpu > ${CODEFLARE_TEST_OUTPUT_DIR}/pytest_output.log 2>&1
+          poetry run pytest -v -s ./tests/e2e -m 'kind and nvidia_gpu' > ${CODEFLARE_TEST_OUTPUT_DIR}/pytest_output.log 2>&1
         env:
           GRPC_DNS_RESOLVER: "native"
 

From b6af6f53abb879bdc594fa5cdc8de5ccd24533b2 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Thu, 15 May 2025 17:51:03 +0100
Subject: [PATCH 227/254] feat(RHOAIENG-25241): disable ray usage metrics by
 default

---
 .../user-docs/cluster-configuration.rst       | 15 ++++++
 src/codeflare_sdk/ray/cluster/config.py       |  4 ++
 src/codeflare_sdk/ray/cluster/test_cluster.py | 18 ++++---
 src/codeflare_sdk/ray/cluster/test_config.py  | 47 ++++++++++++++++++-
 .../appwrapper/unit-test-all-params.yaml      |  4 ++
 tests/test_cluster_yamls/kueue/aw_kueue.yaml  |  6 +++
 .../kueue/ray_cluster_kueue.yaml              |  6 +++
 .../ray/default-appwrapper.yaml               |  6 +++
 .../ray/default-ray-cluster.yaml              |  6 +++
 .../ray/unit-test-all-params.yaml             |  4 ++
 10 files changed, 105 insertions(+), 11 deletions(-)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index 7ca871e7..0dc54930 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -44,6 +44,21 @@ requirements for creating the Ray Cluster.
   documentation on building a custom image
   `here `__.
 
+Ray Usage Statistics
+-------------------
+
+By default, Ray usage statistics collection is disabled in CodeFlare SDK clusters. This stops statistics from being sent to AnyScale. If you want to enable usage statistics collection, you can set the ``RAY_USAGE_STATS_ENABLED`` environment variable to ``1`` in your cluster configuration:
+
+.. code:: python
+
+   from codeflare_sdk import Cluster, ClusterConfiguration
+
+   cluster = Cluster(ClusterConfiguration(
+       name='ray-example',
+       namespace='default',
+       envs={'RAY_USAGE_STATS_ENABLED': '1'}  # Enable usage statistics
+   ))
+
 The ``labels={"exampleLabel": "example"}`` parameter can be used to
 apply additional labels to the RayCluster resource.
 
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index 4f646baa..8ea97d55 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -161,6 +161,10 @@ def __post_init__(self):
                 "Warning: TLS verification has been disabled - Endpoint checks will be bypassed"
             )
 
+        # Set default environment variable to disable Ray usage stats if not already set
+        if "RAY_USAGE_STATS_ENABLED" not in self.envs:
+            self.envs["RAY_USAGE_STATS_ENABLED"] = "0"
+
         if self.enable_gcs_ft:
             if not self.redis_address:
                 raise ValueError(
diff --git a/src/codeflare_sdk/ray/cluster/test_cluster.py b/src/codeflare_sdk/ray/cluster/test_cluster.py
index 298c416e..ce684607 100644
--- a/src/codeflare_sdk/ray/cluster/test_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/test_cluster.py
@@ -465,11 +465,10 @@ def test_get_cluster_no_appwrapper(mocker):
             return_value=expected_rc,
         )
         get_cluster("test-all-params", "ns", write_to_file=True)
-        assert filecmp.cmp(
-            f"{aw_dir}test-all-params.yaml",
-            f"{expected_clusters_dir}/ray/unit-test-all-params.yaml",
-            shallow=True,
-        )
+
+        with open(f"{aw_dir}test-all-params.yaml") as f:
+            generated_rc = yaml.load(f, Loader=yaml.FullLoader)
+        assert generated_rc == expected_rc
 
 
 def test_get_cluster_with_appwrapper(mocker):
@@ -487,11 +486,10 @@ def test_get_cluster_with_appwrapper(mocker):
             return_value=expected_aw,
         )
         get_cluster("aw-all-params", "ns", write_to_file=True)
-        assert filecmp.cmp(
-            f"{aw_dir}aw-all-params.yaml",
-            f"{expected_clusters_dir}/appwrapper/unit-test-all-params.yaml",
-            shallow=True,
-        )
+
+        with open(f"{aw_dir}aw-all-params.yaml") as f:
+            generated_aw = yaml.load(f, Loader=yaml.FullLoader)
+        assert generated_aw == expected_aw
 
 
 def test_wait_ready(mocker, capsys):
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index 6007f60b..6c990c19 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -24,6 +24,7 @@
 import filecmp
 import pytest
 import os
+import yaml
 
 parent = Path(__file__).resolve().parents[4]  # project directory
 expected_clusters_dir = f"{parent}/tests/test_cluster_yamls"
@@ -85,7 +86,11 @@ def test_config_creation_all_parameters(mocker):
     assert cluster.config.worker_memory_requests == "12G"
     assert cluster.config.worker_memory_limits == "16G"
     assert cluster.config.appwrapper == False
-    assert cluster.config.envs == {"key1": "value1", "key2": "value2"}
+    assert cluster.config.envs == {
+        "key1": "value1",
+        "key2": "value2",
+        "RAY_USAGE_STATS_ENABLED": "0",
+    }
     assert cluster.config.image == "example/ray:tag"
     assert cluster.config.image_pull_secrets == ["secret1", "secret2"]
     assert cluster.config.write_to_file == True
@@ -206,6 +211,46 @@ def test_gcs_fault_tolerance_config_validation():
         )
 
 
+def test_ray_usage_stats_default(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object")
+
+    cluster = Cluster(
+        ClusterConfiguration(name="default-usage-stats-cluster", namespace="ns")
+    )
+
+    # Verify that usage stats are disabled by default
+    assert cluster.config.envs["RAY_USAGE_STATS_ENABLED"] == "0"
+
+    # Check that the environment variable is set in the YAML
+    head_container = cluster.resource_yaml["spec"]["headGroupSpec"]["template"]["spec"][
+        "containers"
+    ][0]
+    env_vars = {env["name"]: env["value"] for env in head_container["env"]}
+    assert env_vars["RAY_USAGE_STATS_ENABLED"] == "0"
+
+
+def test_ray_usage_stats_enabled(mocker):
+    mocker.patch("kubernetes.client.ApisApi.get_api_versions")
+    mocker.patch("kubernetes.client.CustomObjectsApi.list_namespaced_custom_object")
+
+    cluster = Cluster(
+        ClusterConfiguration(
+            name="usage-stats-enabled-cluster",
+            namespace="ns",
+            envs={"RAY_USAGE_STATS_ENABLED": "1"},
+        )
+    )
+
+    assert cluster.config.envs["RAY_USAGE_STATS_ENABLED"] == "1"
+
+    head_container = cluster.resource_yaml["spec"]["headGroupSpec"]["template"]["spec"][
+        "containers"
+    ][0]
+    env_vars = {env["name"]: env["value"] for env in head_container["env"]}
+    assert env_vars["RAY_USAGE_STATS_ENABLED"] == "1"
+
+
 # Make sure to always keep this function last
 def test_cleanup():
     os.remove(f"{aw_dir}test-all-params.yaml")
diff --git a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
index f1b75410..af5acbad 100644
--- a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
@@ -54,6 +54,8 @@ spec:
                   value: value1
                 - name: key2
                   value: value2
+                - name: RAY_USAGE_STATS_ENABLED
+                  value: '0'
                 image: example/ray:tag
                 imagePullPolicy: Always
                 lifecycle:
@@ -159,6 +161,8 @@ spec:
                   value: value1
                 - name: key2
                   value: value2
+                - name: RAY_USAGE_STATS_ENABLED
+                  value: '0'
                 image: example/ray:tag
                 imagePullPolicy: Always
                 lifecycle:
diff --git a/tests/test_cluster_yamls/kueue/aw_kueue.yaml b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
index fd78f070..7101f6a8 100644
--- a/tests/test_cluster_yamls/kueue/aw_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
@@ -75,6 +75,9 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
+                env:
+                - name: RAY_USAGE_STATS_ENABLED
+                  value: '0'
               volumes:
               - configMap:
                   items:
@@ -133,6 +136,9 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
+                env:
+                - name: RAY_USAGE_STATS_ENABLED
+                  value: '0'
               volumes:
               - configMap:
                   items:
diff --git a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
index a6dd81d7..f8b3aa46 100644
--- a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
@@ -75,6 +75,9 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
+                env:
+                - name: RAY_USAGE_STATS_ENABLED
+                  value: '0'
               volumes:
               - configMap:
                   items:
@@ -133,6 +136,9 @@ spec:
                 - mountPath: /etc/ssl/certs/odh-ca-bundle.crt
                   name: odh-ca-cert
                   subPath: odh-ca-bundle.crt
+                env:
+                - name: RAY_USAGE_STATS_ENABLED
+                  value: '0'
               volumes:
               - configMap:
                   items:
diff --git a/tests/test_cluster_yamls/ray/default-appwrapper.yaml b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
index 6d1cdcd5..1532c0e8 100644
--- a/tests/test_cluster_yamls/ray/default-appwrapper.yaml
+++ b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
@@ -53,6 +53,9 @@ spec:
                   name: dashboard
                 - containerPort: 10001
                   name: client
+                env:
+                - name: RAY_USAGE_STATS_ENABLED
+                  value: '0'
                 resources:
                   limits:
                     cpu: 2
@@ -111,6 +114,9 @@ spec:
                       - -c
                       - ray stop
                 name: machine-learning
+                env:
+                - name: RAY_USAGE_STATS_ENABLED
+                  value: '0'
                 resources:
                   limits:
                     cpu: 1
diff --git a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
index 38e02f8f..db401026 100644
--- a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
+++ b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
@@ -45,6 +45,9 @@ spec:
             name: dashboard
           - containerPort: 10001
             name: client
+          env:
+          - name: RAY_USAGE_STATS_ENABLED
+            value: '0'
           resources:
             limits:
               cpu: 2
@@ -110,6 +113,9 @@ spec:
             requests:
               cpu: 1
               memory: 2G
+          env:
+          - name: RAY_USAGE_STATS_ENABLED
+            value: '0'
           volumeMounts:
           - mountPath: /etc/pki/tls/certs/odh-trusted-ca-bundle.crt
             name: odh-trusted-ca-cert
diff --git a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
index d5d8059d..6900b058 100644
--- a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
@@ -45,6 +45,8 @@ spec:
             value: value1
           - name: key2
             value: value2
+          - name: RAY_USAGE_STATS_ENABLED
+            value: '0'
           image: example/ray:tag
           imagePullPolicy: Always
           lifecycle:
@@ -150,6 +152,8 @@ spec:
             value: value1
           - name: key2
             value: value2
+          - name: RAY_USAGE_STATS_ENABLED
+            value: '0'
           image: example/ray:tag
           imagePullPolicy: Always
           lifecycle:

From 68d1f6cc968c33f85d04fff45bd27a49fda757a8 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Wed, 28 May 2025 11:27:03 +0100
Subject: [PATCH 228/254] feat: change usage stats enablement to cluster config
 param

---
 docs/sphinx/user-docs/cluster-configuration.rst | 6 ++++--
 src/codeflare_sdk/ray/cluster/config.py         | 8 ++++++--
 src/codeflare_sdk/ray/cluster/test_config.py    | 2 +-
 3 files changed, 11 insertions(+), 5 deletions(-)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index 0dc54930..dee5359d 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -47,7 +47,7 @@ requirements for creating the Ray Cluster.
 Ray Usage Statistics
 -------------------
 
-By default, Ray usage statistics collection is disabled in CodeFlare SDK clusters. This stops statistics from being sent to AnyScale. If you want to enable usage statistics collection, you can set the ``RAY_USAGE_STATS_ENABLED`` environment variable to ``1`` in your cluster configuration:
+By default, Ray usage statistics collection is **disabled** in Ray Clusters created with the Codeflare SDK. This prevents statistics from being captured and sent externally. If you want to enable usage statistics collection, you can simply set the ``enable_usage_stats`` parameter to ``True`` in your cluster configuration:
 
 .. code:: python
 
@@ -56,9 +56,11 @@ By default, Ray usage statistics collection is disabled in CodeFlare SDK cluster
    cluster = Cluster(ClusterConfiguration(
        name='ray-example',
        namespace='default',
-       envs={'RAY_USAGE_STATS_ENABLED': '1'}  # Enable usage statistics
+       enable_usage_stats=True
    ))
 
+This will automatically set the ``RAY_USAGE_STATS_ENABLED`` environment variable to ``1`` for all Ray pods in the cluster. If you do not set this parameter, usage statistics will remain disabled (``RAY_USAGE_STATS_ENABLED=0``).
+
 The ``labels={"exampleLabel": "example"}`` parameter can be used to
 apply additional labels to the RayCluster resource.
 
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index 8ea97d55..36fdbbc7 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -102,6 +102,8 @@ class ClusterConfiguration:
             A list of V1VolumeMount objects to add to the Cluster
         enable_gcs_ft:
             A boolean indicating whether to enable GCS fault tolerance.
+        enable_usage_stats:
+            A boolean indicating whether to capture and send Ray usage stats externally.
         redis_address:
             The address of the Redis server to use for GCS fault tolerance, required when enable_gcs_ft is True.
         redis_password_secret:
@@ -151,6 +153,7 @@ class ClusterConfiguration:
     volumes: list[V1Volume] = field(default_factory=list)
     volume_mounts: list[V1VolumeMount] = field(default_factory=list)
     enable_gcs_ft: bool = False
+    enable_usage_stats: bool = False
     redis_address: Optional[str] = None
     redis_password_secret: Optional[Dict[str, str]] = None
     external_storage_namespace: Optional[str] = None
@@ -161,8 +164,9 @@ def __post_init__(self):
                 "Warning: TLS verification has been disabled - Endpoint checks will be bypassed"
             )
 
-        # Set default environment variable to disable Ray usage stats if not already set
-        if "RAY_USAGE_STATS_ENABLED" not in self.envs:
+        if self.enable_usage_stats:
+            self.envs["RAY_USAGE_STATS_ENABLED"] = "1"
+        else:
             self.envs["RAY_USAGE_STATS_ENABLED"] = "0"
 
         if self.enable_gcs_ft:
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index 6c990c19..6e8b2669 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -238,7 +238,7 @@ def test_ray_usage_stats_enabled(mocker):
         ClusterConfiguration(
             name="usage-stats-enabled-cluster",
             namespace="ns",
-            envs={"RAY_USAGE_STATS_ENABLED": "1"},
+            enable_usage_stats=True,
         )
     )
 

From 5c2495d37f9a607f18c1dec88de10ce56a510292 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Tue, 10 Jun 2025 15:08:19 +0100
Subject: [PATCH 229/254] feat: add comment about tearing down ray clusters to
 cluster.apply()

---
 src/codeflare_sdk/ray/cluster/cluster.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/src/codeflare_sdk/ray/cluster/cluster.py b/src/codeflare_sdk/ray/cluster/cluster.py
index b42efd87..d03d78d8 100644
--- a/src/codeflare_sdk/ray/cluster/cluster.py
+++ b/src/codeflare_sdk/ray/cluster/cluster.py
@@ -219,7 +219,7 @@ def apply(self, force=False):
                     force_conflicts=force,
                 )
                 print(
-                    f"AppWrapper: '{name}' configuration has successfully been applied"
+                    f"AppWrapper: '{name}' configuration has successfully been applied. For optimal resource management, you should delete this Ray Cluster when no longer in use."
                 )
             else:
                 api_version = "ray.io/v1"
@@ -227,7 +227,9 @@ def apply(self, force=False):
                 self._component_resources_apply(
                     namespace=namespace, api_instance=api_instance
                 )
-                print(f"Ray Cluster: '{name}' has successfully been applied")
+                print(
+                    f"Ray Cluster: '{name}' has successfully been applied. For optimal resource management, you should delete this Ray Cluster when no longer in use."
+                )
         except AttributeError as e:
             raise RuntimeError(f"Failed to initialize DynamicClient: {e}")
         except Exception as e:  # pragma: no cover

From cb7051093b9834cedddec76da1b5436de78da7a5 Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Tue, 10 Jun 2025 10:23:03 +0100
Subject: [PATCH 230/254] task(RHOAIENG-26192): Removed dep fields head_gpus +
 num_gpus

Signed-off-by: Pat O'Connor 
---
 .../user-docs/cluster-configuration.rst       |  4 ---
 src/codeflare_sdk/ray/cluster/config.py       | 27 -------------------
 src/codeflare_sdk/ray/cluster/test_config.py  |  4 ---
 3 files changed, 35 deletions(-)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index dee5359d..f9749f59 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -180,7 +180,3 @@ deprecated.
      - ``worker_memory_requests``
    * - ``max_memory``
      - ``worker_memory_limits``
-   * - ``head_gpus``
-     - ``head_extended_resource_requests``
-   * - ``num_gpus``
-     - ``worker_extended_resource_requests``
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index 36fdbbc7..bce54c32 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -54,8 +54,6 @@ class ClusterConfiguration:
             The number of CPUs to allocate to the head node.
         head_memory:
             The amount of memory to allocate to the head node.
-        head_gpus:
-            The number of GPUs to allocate to the head node. (Deprecated, use head_extended_resource_requests)
         head_extended_resource_requests:
             A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1}
         head_tolerations:
@@ -70,8 +68,6 @@ class ClusterConfiguration:
             The minimum amount of memory to allocate to each worker.
         max_memory:
             The maximum amount of memory to allocate to each worker.
-        num_gpus:
-            The number of GPUs to allocate to each worker. (Deprecated, use worker_extended_resource_requests)
         worker_tolerations:
             List of tolerations for worker nodes.
         appwrapper:
@@ -120,7 +116,6 @@ class ClusterConfiguration:
     head_memory_requests: Union[int, str] = 8
     head_memory_limits: Union[int, str] = 8
     head_memory: Optional[Union[int, str]] = None  # Deprecating
-    head_gpus: Optional[int] = None  # Deprecating
     head_extended_resource_requests: Dict[str, Union[str, int]] = field(
         default_factory=dict
     )
@@ -134,7 +129,6 @@ class ClusterConfiguration:
     worker_memory_limits: Union[int, str] = 2
     min_memory: Optional[Union[int, str]] = None  # Deprecating
     max_memory: Optional[Union[int, str]] = None  # Deprecating
-    num_gpus: Optional[int] = None  # Deprecating
     worker_tolerations: Optional[List[V1Toleration]] = None
     appwrapper: bool = False
     envs: Dict[str, str] = field(default_factory=dict)
@@ -195,7 +189,6 @@ def __post_init__(self):
         self._memory_to_string()
         self._str_mem_no_unit_add_GB()
         self._cpu_to_resource()
-        self._gpu_to_resource()
         self._combine_extended_resource_mapping()
         self._validate_extended_resource_requests(self.head_extended_resource_requests)
         self._validate_extended_resource_requests(
@@ -227,26 +220,6 @@ def _validate_extended_resource_requests(self, extended_resources: Dict[str, int
                     f"extended resource '{k}' not found in extended_resource_mapping, available resources are {list(self.extended_resource_mapping.keys())}, to add more supported resources use extended_resource_mapping. i.e. extended_resource_mapping = {{'{k}': 'FOO_BAR'}}"
                 )
 
-    def _gpu_to_resource(self):
-        if self.head_gpus:
-            warnings.warn(
-                f"head_gpus is being deprecated, replacing with head_extended_resource_requests['nvidia.com/gpu'] = {self.head_gpus}"
-            )
-            if "nvidia.com/gpu" in self.head_extended_resource_requests:
-                raise ValueError(
-                    "nvidia.com/gpu already exists in head_extended_resource_requests"
-                )
-            self.head_extended_resource_requests["nvidia.com/gpu"] = self.head_gpus
-        if self.num_gpus:
-            warnings.warn(
-                f"num_gpus is being deprecated, replacing with worker_extended_resource_requests['nvidia.com/gpu'] = {self.num_gpus}"
-            )
-            if "nvidia.com/gpu" in self.worker_extended_resource_requests:
-                raise ValueError(
-                    "nvidia.com/gpu already exists in worker_extended_resource_requests"
-                )
-            self.worker_extended_resource_requests["nvidia.com/gpu"] = self.num_gpus
-
     def _str_mem_no_unit_add_GB(self):
         if isinstance(self.head_memory, str) and self.head_memory.isdecimal():
             self.head_memory = f"{self.head_memory}G"
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index 6e8b2669..23da97c3 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -139,8 +139,6 @@ def test_config_creation_wrong_type():
 def test_cluster_config_deprecation_conversion(mocker):
     config = ClusterConfiguration(
         name="test",
-        num_gpus=2,
-        head_gpus=1,
         head_cpus=3,
         head_memory=16,
         min_memory=3,
@@ -152,8 +150,6 @@ def test_cluster_config_deprecation_conversion(mocker):
     assert config.head_cpu_limits == 3
     assert config.head_memory_requests == "16G"
     assert config.head_memory_limits == "16G"
-    assert config.worker_extended_resource_requests == {"nvidia.com/gpu": 2}
-    assert config.head_extended_resource_requests == {"nvidia.com/gpu": 1}
     assert config.worker_memory_requests == "3G"
     assert config.worker_memory_limits == "4G"
     assert config.worker_cpu_requests == 1

From c9f7313bdd3fcc66bc263ca89f892ebe81c5cef9 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" 
Date: Tue, 10 Jun 2025 14:51:58 +0000
Subject: [PATCH 231/254] Updated coverage.svg

---
 coverage.svg | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/coverage.svg b/coverage.svg
index a8c7e72a..59d64b37 100644
--- a/coverage.svg
+++ b/coverage.svg
@@ -15,7 +15,7 @@
     
         coverage
         coverage
-        92%
-        92%
+        93%
+        93%
     
 

From e967fb71c157dbeb0b3dae3d31a67bc4675e19e1 Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Wed, 28 May 2025 08:54:58 +0100
Subject: [PATCH 232/254] fix(RHOAIENG-25120): remove kueue as mandatory in
 RayCluster

Signed-off-by: Pat O'Connor 
---
 .../ray/cluster/build_ray_cluster.py             |  4 +++-
 src/codeflare_sdk/ray/cluster/cluster.py         | 16 ++++++++++++++++
 2 files changed, 19 insertions(+), 1 deletion(-)

diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index 2a3436b2..89c51324 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -488,9 +488,11 @@ def add_queue_label(cluster: "codeflare_sdk.ray.cluster.Cluster", labels: dict):
     if lq_name == None:
         return
     elif not local_queue_exists(cluster):
-        raise ValueError(
+        # ValueError removed to pass validation to validating admission policy
+        print(
             "local_queue provided does not exist or is not in this namespace. Please provide the correct local_queue name in Cluster Configuration"
         )
+        return
     labels.update({"kueue.x-k8s.io/queue-name": lq_name})
 
 
diff --git a/src/codeflare_sdk/ray/cluster/cluster.py b/src/codeflare_sdk/ray/cluster/cluster.py
index d03d78d8..86ed7c4d 100644
--- a/src/codeflare_sdk/ray/cluster/cluster.py
+++ b/src/codeflare_sdk/ray/cluster/cluster.py
@@ -183,6 +183,14 @@ def up(self):
                     f"Ray Cluster: '{self.config.name}' has successfully been created"
                 )
         except Exception as e:  # pragma: no cover
+            if e.status == 422:
+                print(
+                    "WARNING: RayCluster creation rejected due to invalid Kueue configuration. Please contact your administrator."
+                )
+            else:
+                print(
+                    "WARNING: Failed to create RayCluster due to unexpected error. Please contact your administrator."
+                )
             return _kube_api_error_handling(e)
 
     # Applies a new cluster with the provided or default spec
@@ -233,6 +241,14 @@ def apply(self, force=False):
         except AttributeError as e:
             raise RuntimeError(f"Failed to initialize DynamicClient: {e}")
         except Exception as e:  # pragma: no cover
+            if e.status == 422:
+                print(
+                    "WARNING: RayCluster creation rejected due to invalid Kueue configuration. Please contact your administrator."
+                )
+            else:
+                print(
+                    "WARNING: Failed to create RayCluster due to unexpected error. Please contact your administrator."
+                )
             return _kube_api_error_handling(e)
 
     def _throw_for_no_raycluster(self):

From 62f8a9a090ce289b487d823cc525d6f43d600843 Mon Sep 17 00:00:00 2001
From: Pawel Paszki 
Date: Wed, 11 Jun 2025 09:13:38 +0100
Subject: [PATCH 233/254] conf: Update Ray to v2.46.0 and update Runtime Image
 refs (#836)

* conf: Update Ray to v2.46.0 and update Runtime Image refs

* test: unify kind cluster config
---
 .../additional-demos/local_interactive.ipynb  |  2 +-
 .../additional-demos/ray_job_client.ipynb     |  2 +-
 demo-notebooks/guided-demos/0_basic_ray.ipynb |  2 +-
 .../guided-demos/1_cluster_job_client.ipynb   |  2 +-
 .../guided-demos/2_basic_interactive.ipynb    |  2 +-
 .../guided-demos/3_widget_example.ipynb       |  2 +-
 .../notebook-ex-outputs/0_basic_ray.ipynb     |  2 +-
 .../1_cluster_job_client.ipynb                |  2 +-
 .../2_basic_interactive.ipynb                 |  2 +-
 .../notebook-ex-outputs/interactivetest.yaml  |  4 +-
 .../notebook-ex-outputs/jobtest.yaml          |  4 +-
 .../notebook-ex-outputs/raytest.yaml          |  4 +-
 .../preview_nbs/0_basic_ray.ipynb             |  2 +-
 .../preview_nbs/1_cluster_job_client.ipynb    |  2 +-
 .../preview_nbs/2_basic_interactive.ipynb     |  2 +-
 .../user-docs/cluster-configuration.rst       |  2 +-
 poetry.lock                                   | 58 ++++++++++---------
 pyproject.toml                                |  2 +-
 src/codeflare_sdk/common/utils/constants.py   |  2 +-
 .../common/utils/unit_test_support.py         |  4 +-
 .../ray/cluster/build_ray_cluster.py          |  2 +-
 tests/e2e/local_interactive_sdk_kind_test.py  |  4 +-
 .../e2e/mnist_raycluster_sdk_aw_kind_test.py  |  2 -
 tests/e2e/support.py                          |  2 +-
 .../appwrapper/test-case-bad.yaml             |  6 +-
 .../appwrapper/unit-test-all-params.yaml      |  2 +-
 tests/test_cluster_yamls/kueue/aw_kueue.yaml  |  2 +-
 .../kueue/ray_cluster_kueue.yaml              |  2 +-
 .../ray/default-appwrapper.yaml               |  2 +-
 .../ray/default-ray-cluster.yaml              |  2 +-
 .../ray/unit-test-all-params.yaml             |  2 +-
 .../support_clusters/test-aw-a.yaml           |  6 +-
 .../support_clusters/test-aw-b.yaml           |  6 +-
 .../support_clusters/test-rc-a.yaml           |  6 +-
 .../support_clusters/test-rc-b.yaml           |  6 +-
 35 files changed, 77 insertions(+), 79 deletions(-)

diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb
index ed9e5648..be30ba40 100644
--- a/demo-notebooks/additional-demos/local_interactive.ipynb
+++ b/demo-notebooks/additional-demos/local_interactive.ipynb
@@ -37,7 +37,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb
index 8d28ad13..599b2425 100644
--- a/demo-notebooks/additional-demos/ray_job_client.ipynb
+++ b/demo-notebooks/additional-demos/ray_job_client.ipynb
@@ -43,7 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb
index 1e729cc1..7e3bbd08 100644
--- a/demo-notebooks/guided-demos/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb
@@ -49,7 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
index 73ef0b2a..2aef3184 100644
--- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
@@ -43,7 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
index 118720aa..df7728b3 100644
--- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
@@ -46,7 +46,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/3_widget_example.ipynb b/demo-notebooks/guided-demos/3_widget_example.ipynb
index 3f44afe3..56bd0a5e 100644
--- a/demo-notebooks/guided-demos/3_widget_example.ipynb
+++ b/demo-notebooks/guided-demos/3_widget_example.ipynb
@@ -49,7 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
index 2ac5109e..8d97751a 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
@@ -49,7 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
index ff8d53b7..b1f0d5f6 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
@@ -43,7 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
index 57538aa8..bf0b49de 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
@@ -46,7 +46,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml
index 1ac7e603..5182b92a 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml
@@ -81,7 +81,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.44.1-py311-cu121
+                  image: quay.io/modh/ray:2.46.0-py311-cu121
                   imagePullPolicy: Always
                   lifecycle:
                     preStop:
@@ -147,7 +147,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.44.1-py311-cu121
+                  image: quay.io/modh/ray:2.46.0-py311-cu121
                   lifecycle:
                     preStop:
                       exec:
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml
index 840b4f81..5df084fd 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml
@@ -70,7 +70,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.44.1-py311-cu121
+                  image: quay.io/modh/ray:2.46.0-py311-cu121
                   imagePullPolicy: Always
                   lifecycle:
                     preStop:
@@ -127,7 +127,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.44.1-py311-cu121
+                  image: quay.io/modh/ray:2.46.0-py311-cu121
                   lifecycle:
                     preStop:
                       exec:
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml
index 6dc0b8b6..ae81b795 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml
@@ -70,7 +70,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.44.1-py311-cu121
+                  image: quay.io/modh/ray:2.46.0-py311-cu121
                   imagePullPolicy: Always
                   lifecycle:
                     preStop:
@@ -127,7 +127,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.44.1-py311-cu121
+                  image: quay.io/modh/ray:2.46.0-py311-cu121
                   lifecycle:
                     preStop:
                       exec:
diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
index 2ac5109e..8d97751a 100644
--- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
@@ -49,7 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
index d7113ae5..58cb4958 100644
--- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
@@ -43,7 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
index 8fd9ce0d..4538c8d5 100644
--- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
@@ -46,7 +46,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.44.1-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index f9749f59..ad4e248e 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -35,7 +35,7 @@ requirements for creating the Ray Cluster.
   The default images used by the CodeFlare SDK for creating
   a RayCluster resource depend on the installed Python version:
 
-  - For Python 3.11: `quay.io/modh/ray:2.44.1-py311-cu121`
+  - For Python 3.11: `quay.io/modh/ray:2.46.0-py311-cu121`
 
   If you prefer to use a custom Ray image that better suits your
   needs, you can specify it in the image field to override the default.
diff --git a/poetry.lock b/poetry.lock
index 725ce7e0..384e8088 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -3460,42 +3460,44 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "ray"
-version = "2.44.1"
+version = "2.46.0"
 description = "Ray provides a simple, universal API for building distributed applications."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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-    {file = "ray-2.44.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f221b1426d8657ce0c24508d5ff11cabc4a8c40a833c8c5bb63e2217f37cfd9"},
-    {file = "ray-2.44.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:3a3db83c54085535bed9b4861d871f6527c5df61532bf7d2285701485de8968f"},
-    {file = "ray-2.44.1-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:18073261c09811d5faefc918abbd8a6bf5f4968277eeae6fbc0992e3724d1496"},
-    {file = "ray-2.44.1-cp310-cp310-win_amd64.whl", hash = "sha256:9decf32c1402f44b5f7a54f29bd422e0ae9a45afc0a10090acf9ba6011ca12a7"},
-    {file = "ray-2.44.1-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:949dbd735e5edec80f6140fa6bb536248c7c97535fe5a11acd279295b7bd1a6d"},
-    {file = "ray-2.44.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c21a452227eeecfa3d89b50480d1f9bab11b15c9b3695af41421ab8e7e608cfd"},
-    {file = "ray-2.44.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:0c6d395c05542a882d14e31abec1dd1a1808a9a0c0dcf94200a827d2d04c08a1"},
-    {file = "ray-2.44.1-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:6e6bd0430d2eb664ae632c96e74c01e4a1bf14ab2a15102e1809b05ea9e0c2c7"},
-    {file = "ray-2.44.1-cp311-cp311-win_amd64.whl", hash = "sha256:5e94bd887898dc08db7f87c0429bc41219aceb552af0b1cd4924c01718fc6a77"},
-    {file = "ray-2.44.1-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:b6c7b677035c08141ae01adc25eade20a979eb7c9cabfe9ad1c99396e157ed59"},
-    {file = "ray-2.44.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:865a83eaf06d5e988c441bc2607b8d1f326d952d139f66c18ea21f077fedbff4"},
-    {file = "ray-2.44.1-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:3d9807c9c31d42793ca309747b9c7affdd7488a532979aa346d4c889b828783a"},
-    {file = "ray-2.44.1-cp312-cp312-manylinux2014_x86_64.whl", hash = "sha256:a4c0175cc40e6b065391bc8be0f208bacf8cee7ee61392c7791004f17622e7bd"},
-    {file = "ray-2.44.1-cp312-cp312-win_amd64.whl", hash = "sha256:2d62f875c36432b6d5ee666ec23280d23a8de44c0a14a56959aa9b75e644b49f"},
-    {file = "ray-2.44.1-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:12e94c27fedd703566de016314c8a5b164a96c5802313c64e7b643157c3930eb"},
-    {file = "ray-2.44.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:16ecb31e1156a8952ad7a27da6e91704a67e8f37cb5519b0afc76fb5b21515d6"},
-    {file = "ray-2.44.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:72d09a7bd2803979c322f0820f1138257b2fe7f557a615b6521441a1a14a044a"},
-    {file = "ray-2.44.1-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:1cadfa4ec992d3f9c56ffc5ce22b4a937546954a3f5ea10f32d3cf870e0a6c37"},
-    {file = "ray-2.44.1-cp39-cp39-win_amd64.whl", hash = "sha256:35028f39090de977374f7ecdd10fdbd6cffd1dece22c31a9143b5be1da76ac50"},
+    {file = "ray-2.46.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:719244b84df79502e5f09497f256618d94d78d66fbaf229422008a0568d3a0ff"},
+    {file = "ray-2.46.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4378a86919e6643238a1094f711b87fa8dc1a18b998d4190f69ab33c64a22a8c"},
+    {file = "ray-2.46.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:396b912a4dbf64966e2fdfca9facbcafe57b792ca4842ac5ae17507fdbdfe89f"},
+    {file = "ray-2.46.0-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:c12850608c57c8afd9613a9f757d77663c50d4bd4e77ba2f181425052520c01a"},
+    {file = "ray-2.46.0-cp310-cp310-win_amd64.whl", hash = "sha256:bc953aa4879c7a77893f921905df5cf65227cafd94fbc8273bec65ea393eacdd"},
+    {file = "ray-2.46.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:942ba51de6f9cd7fb2ed17618181af48ce6b9517743d3235d846ec32295eca76"},
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+    {file = "ray-2.46.0-cp312-cp312-win_amd64.whl", hash = "sha256:7d3160f8d187baaea91a86d16a9fd81136cf8607419c94b7a74d66fce774b5c2"},
+    {file = "ray-2.46.0-cp313-cp313-macosx_10_15_x86_64.whl", hash = "sha256:b2fc2c43ea0a37521193c61ef9a27b6fca8dbab116a58a52fd44344cd73e1ece"},
+    {file = "ray-2.46.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4296dd8c0174256a04ee4b54abe013b6802a45fb85fb7cfdb1375231965d6d4d"},
+    {file = "ray-2.46.0-cp313-cp313-manylinux2014_aarch64.whl", hash = "sha256:808daece1f12bd8924b9c6382a0f98da6f5c6886cfb271ed8d89407a89413cd5"},
+    {file = "ray-2.46.0-cp313-cp313-manylinux2014_x86_64.whl", hash = "sha256:a5a28c0a311d2c3221dcf729c40898a6df82466bb5af21e81be0453e09856adf"},
+    {file = "ray-2.46.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:e0ec198c16d0e9af7f03242ef7ad7d548eee37a918193917278a124ddd57410a"},
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+    {file = "ray-2.46.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:7c44a98cb24f4905e898d05b787cbe9f267a9f66c1e1f8cda50814f8b3673be2"},
+    {file = "ray-2.46.0-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:91ea998a49578b1450cbef60705f6ece8622a262a3d764d5c99ba89b741de5d0"},
+    {file = "ray-2.46.0-cp39-cp39-win_amd64.whl", hash = "sha256:018e98c9745eae53b53ad14fef1ca1c43bb64c39c3cceb9e6d4517729396003b"},
 ]
 
 [package.dependencies]
 aiohttp = {version = ">=3.7", optional = true, markers = "extra == \"default\""}
 aiohttp-cors = {version = "*", optional = true, markers = "extra == \"default\""}
-aiosignal = "*"
 click = ">=7.0"
 colorful = {version = "*", optional = true, markers = "extra == \"default\""}
 filelock = "*"
-frozenlist = "*"
 fsspec = {version = "*", optional = true, markers = "extra == \"data\""}
 grpcio = {version = ">=1.42.0", optional = true, markers = "python_version >= \"3.10\" and extra == \"default\""}
 jsonschema = "*"
@@ -3524,13 +3526,13 @@ virtualenv = {version = ">=20.0.24,<20.21.1 || >20.21.1", optional = true, marke
 adag = ["cupy-cuda12x ; sys_platform != \"darwin\""]
 air = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
 all = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\"", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==1.0.0)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-all-cpp = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\"", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==1.0.0)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "ray-cpp (==2.44.1)", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+all-cpp = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\"", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==1.0.0)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "ray-cpp (==2.46.0)", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
 cgraph = ["cupy-cuda12x ; sys_platform != \"darwin\""]
 client = ["grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\""]
-cpp = ["ray-cpp (==2.44.1)"]
+cpp = ["ray-cpp (==2.46.0)"]
 data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)"]
 default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,!=20.21.1)"]
-llm = ["aiohttp (>=3.7)", "aiohttp-cors", "async-timeout ; python_version < \"3.11\"", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "jsonref (>=1.1.0)", "jsonschema", "ninja", "numpy (>=1.20)", "opencensus", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "vllm (>=0.7.2)", "watchfiles"]
+llm = ["aiohttp (>=3.7)", "aiohttp-cors", "async-timeout ; python_version < \"3.11\"", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "jsonref (>=1.1.0)", "jsonschema", "ninja", "numpy (>=1.20)", "opencensus", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "vllm (>=0.8.5)", "watchfiles"]
 observability = ["memray ; sys_platform != \"win32\"", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
 rllib = ["dm-tree", "fsspec", "gymnasium (==1.0.0)", "lz4", "ormsgpack (==1.7.0)", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pyyaml", "requests", "scipy", "tensorboardX (>=1.9)"]
 serve = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
@@ -4527,4 +4529,4 @@ propcache = ">=0.2.1"
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.11"
-content-hash = "d04590af4fd433110720e9c0a70760c6127ee6d8e40a4b2dfc513673bc91850d"
+content-hash = "7cdd47cb60807e3032d9746b1c3ace156a10f9b6b430c740f0201a8aed7ac860"
diff --git a/pyproject.toml b/pyproject.toml
index 8e383671..03c390c3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,7 +23,7 @@ keywords = ['codeflare', 'python', 'sdk', 'client', 'batch', 'scale']
 python = "^3.11"
 openshift-client = "1.0.18"
 rich = ">=12.5,<14.0"
-ray = {version = "2.44.1", extras = ["data", "default"]}
+ray = {version = "2.46.0", extras = ["data", "default"]}
 kubernetes = ">= 27.2.0"
 cryptography = "43.0.3"
 executing = "1.2.0"
diff --git a/src/codeflare_sdk/common/utils/constants.py b/src/codeflare_sdk/common/utils/constants.py
index 178f6ac3..a10e3e0e 100644
--- a/src/codeflare_sdk/common/utils/constants.py
+++ b/src/codeflare_sdk/common/utils/constants.py
@@ -1 +1 @@
-RAY_VERSION = "2.44.1"
+RAY_VERSION = "2.46.0"
diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index 79c7bf01..eee8d933 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -68,7 +68,7 @@ def create_cluster_wrong_type():
         worker_extended_resource_requests={"nvidia.com/gpu": 7},
         appwrapper=True,
         image_pull_secrets=["unit-test-pull-secret"],
-        image="quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31",
+        image="quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707",
         write_to_file=True,
         labels={1: 1},
     )
@@ -275,7 +275,7 @@ def apply_template(yaml_file_path, variables):
 def get_expected_image():
     # TODO: Add Python 3.12 support
     python_version = sys.version_info
-    return "quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31"
+    return "quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707"
 
 
 def get_template_variables():
diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index 89c51324..11b10fc3 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -94,7 +94,7 @@
 ]
 
 SUPPORTED_PYTHON_VERSIONS = {
-    "3.11": "quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31",
+    "3.11": "quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707",
 }
 
 
diff --git a/tests/e2e/local_interactive_sdk_kind_test.py b/tests/e2e/local_interactive_sdk_kind_test.py
index eb5066db..6f025d22 100644
--- a/tests/e2e/local_interactive_sdk_kind_test.py
+++ b/tests/e2e/local_interactive_sdk_kind_test.py
@@ -56,10 +56,8 @@ def run_local_interactives(
                 num_workers=1,
                 head_cpu_requests="500m",
                 head_cpu_limits="500m",
-                head_memory_requests=2,
-                head_memory_limits=2,
                 worker_cpu_requests="500m",
-                worker_cpu_limits="500m",
+                worker_cpu_limits=1,
                 worker_memory_requests=1,
                 worker_memory_limits=4,
                 worker_extended_resource_requests={gpu_resource_name: number_of_gpus},
diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
index b94fe252..49f0888d 100644
--- a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
+++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
@@ -44,8 +44,6 @@ def run_mnist_raycluster_sdk_kind(
                 num_workers=1,
                 head_cpu_requests="500m",
                 head_cpu_limits="500m",
-                head_memory_requests=2,
-                head_memory_limits=2,
                 worker_cpu_requests="500m",
                 worker_cpu_limits=1,
                 worker_memory_requests=1,
diff --git a/tests/e2e/support.py b/tests/e2e/support.py
index 46dd4e70..c81f5b73 100644
--- a/tests/e2e/support.py
+++ b/tests/e2e/support.py
@@ -26,7 +26,7 @@ def get_ray_cluster(cluster_name, namespace):
 
 
 def get_ray_image():
-    default_ray_image = "quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31"
+    default_ray_image = "quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707"
     return os.getenv("RAY_IMAGE", default_ray_image)
 
 
diff --git a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
index cb1ed471..4aa4d3dd 100644
--- a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
+++ b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
@@ -42,7 +42,7 @@ spec:
                   valueFrom:
                     fieldRef:
                       fieldPath: status.podIP
-                image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
+                image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
                 imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
@@ -66,7 +66,7 @@ spec:
                   requests:
                     cpu: 2
                     memory: 8G
-        rayVersion: 2.44.1
+        rayVersion: 2.46.0
         workerGroupSpecs:
         - groupName: small-group-unit-test-cluster
           maxReplicas: 2
@@ -89,7 +89,7 @@ spec:
                   valueFrom:
                     fieldRef:
                       fieldPath: status.podIP
-                image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
+                image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
index af5acbad..bfe23893 100644
--- a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
@@ -138,7 +138,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.44.1
+        rayVersion: 2.46.0
         workerGroupSpecs:
         - groupName: small-group-aw-all-params
           maxReplicas: 10
diff --git a/tests/test_cluster_yamls/kueue/aw_kueue.yaml b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
index 7101f6a8..08b6d5cf 100644
--- a/tests/test_cluster_yamls/kueue/aw_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
@@ -93,7 +93,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.44.1
+        rayVersion: 2.46.0
         workerGroupSpecs:
         - groupName: small-group-unit-test-aw-kueue
           maxReplicas: 2
diff --git a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
index f8b3aa46..bb8e8494 100644
--- a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
@@ -93,7 +93,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.44.1
+        rayVersion: 2.46.0
         workerGroupSpecs:
         - groupName: small-group-unit-test-cluster-kueue
           maxReplicas: 2
diff --git a/tests/test_cluster_yamls/ray/default-appwrapper.yaml b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
index 1532c0e8..22fba282 100644
--- a/tests/test_cluster_yamls/ray/default-appwrapper.yaml
+++ b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
@@ -91,7 +91,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.44.1
+        rayVersion: 2.46.0
         workerGroupSpecs:
         - groupName: small-group-default-appwrapper
           maxReplicas: 1
diff --git a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
index db401026..75713321 100644
--- a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
+++ b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
@@ -83,7 +83,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.44.1
+  rayVersion: 2.46.0
   workerGroupSpecs:
   - groupName: small-group-default-cluster
     maxReplicas: 1
diff --git a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
index 6900b058..98da45b1 100644
--- a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
@@ -129,7 +129,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.44.1
+  rayVersion: 2.46.0
   workerGroupSpecs:
   - groupName: small-group-test-all-params
     maxReplicas: 10
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
index 9c89b593..4ffbef98 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
@@ -38,7 +38,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
+              - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
                 imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
@@ -91,7 +91,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.44.1
+        rayVersion: 2.46.0
         workerGroupSpecs:
         - groupName: small-group-test-cluster-a
           maxReplicas: 1
@@ -109,7 +109,7 @@ spec:
                 key: value
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
+              - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
index b2701f20..56d2a8e2 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
@@ -38,7 +38,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
+              - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
                 imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
@@ -91,7 +91,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.44.1
+        rayVersion: 2.46.0
         workerGroupSpecs:
         - groupName: small-group-test-cluster-b
           maxReplicas: 1
@@ -109,7 +109,7 @@ spec:
                 key: value
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
+              - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
index 9ece6661..e504566a 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
@@ -29,7 +29,7 @@ spec:
     template:
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
+        - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
           imagePullPolicy: IfNotPresent
           lifecycle:
             preStop:
@@ -82,7 +82,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.44.1
+  rayVersion: 2.46.0
   workerGroupSpecs:
   - groupName: small-group-test-cluster-a
     maxReplicas: 1
@@ -100,7 +100,7 @@ spec:
           key: value
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
+        - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
           lifecycle:
             preStop:
               exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
index 9d52e300..22162295 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
@@ -29,7 +29,7 @@ spec:
     template:
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
+        - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
           imagePullPolicy: IfNotPresent
           lifecycle:
             preStop:
@@ -82,7 +82,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.44.1
+  rayVersion: 2.46.0
   workerGroupSpecs:
   - groupName: small-group-test-rc-b
     maxReplicas: 1
@@ -100,7 +100,7 @@ spec:
           key: value
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:ac401c35d29cbd920ef982775f20e86d948b81eb67e83adbbbba8b29ad33ca31
+        - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
           lifecycle:
             preStop:
               exec:

From 07bdade8d37b2461a7f4c7588ba1ec67ba5c7a2d Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Tue, 10 Jun 2025 16:02:20 +0100
Subject: [PATCH 234/254] chore(deps): update dependencies

---
 poetry.lock | 1723 +++++++++++++++++++++++++--------------------------
 1 file changed, 861 insertions(+), 862 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 384e8088..08d51b6f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -14,97 +14,102 @@ files = [
 
 [[package]]
 name = "aiohttp"
-version = "3.11.18"
+version = "3.12.12"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
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 ]
 
 [package.dependencies]
-aiohappyeyeballs = ">=2.3.0"
+aiohappyeyeballs = ">=2.5.0"
 aiosignal = ">=1.1.2"
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
@@ -113,7 +118,7 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiohttp-cors"
@@ -194,25 +199,19 @@ files = [
 
 [[package]]
 name = "argon2-cffi"
-version = "23.1.0"
+version = "25.1.0"
 description = "Argon2 for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 groups = ["test"]
 files = [
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 description = "File-system specification"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 [package.extras]
@@ -1144,14 +1143,14 @@ tqdm = ["tqdm"]
 
 [[package]]
 name = "google-api-core"
-version = "2.24.2"
+version = "2.25.0"
 description = "Google API client core library"
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 [package.dependencies]
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-grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
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+grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
+grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
 
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 name = "google-auth"
-version = "2.40.1"
+version = "2.40.3"
 description = "Google Authentication Library"
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 python-versions = ">=3.7"
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@@ -1217,67 +1216,67 @@ grpc = ["grpcio (>=1.44.0,<2.0.0)"]
 
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 [package.dependencies]
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 [package.dependencies]
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 [package.extras]
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 [[package]]
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 python-versions = ">=3.9"
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 [[package]]
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 [[package]]
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 [[package]]
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 [[package]]
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 [[package]]
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+    {file = "yarl-1.20.1-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:57edc88517d7fc62b174fcfb2e939fbc486a68315d648d7e74d07fac42cec240"},
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+    {file = "yarl-1.20.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:2c89b5c792685dd9cd3fa9761c1b9f46fc240c2a3265483acc1565769996a3f8"},
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+    {file = "yarl-1.20.1-cp39-cp39-win32.whl", hash = "sha256:b5f307337819cdfdbb40193cad84978a029f847b0a357fbe49f712063cfc4f06"},
+    {file = "yarl-1.20.1-cp39-cp39-win_amd64.whl", hash = "sha256:eae7bfe2069f9c1c5b05fc7fe5d612e5bbc089a39309904ee8b829e322dcad00"},
+    {file = "yarl-1.20.1-py3-none-any.whl", hash = "sha256:83b8eb083fe4683c6115795d9fc1cfaf2cbbefb19b3a1cb68f6527460f483a77"},
+    {file = "yarl-1.20.1.tar.gz", hash = "sha256:d017a4997ee50c91fd5466cef416231bb82177b93b029906cefc542ce14c35ac"},
 ]
 
 [package.dependencies]

From 1dc33436780db259186ae3806951ec4e679a2f9f Mon Sep 17 00:00:00 2001
From: Laura Fitzgerald 
Date: Thu, 29 May 2025 15:12:29 +0100
Subject: [PATCH 235/254] remote ray client example

Co-authored-by: bkeane 
Co-authored-by: chipspeak 
Co-authored-by: Bobbins 
---
 .../remote_ray_job_client.ipynb               | 103 ++++++++++++++++++
 1 file changed, 103 insertions(+)
 create mode 100644 demo-notebooks/additional-demos/remote_ray_job_client.ipynb

diff --git a/demo-notebooks/additional-demos/remote_ray_job_client.ipynb b/demo-notebooks/additional-demos/remote_ray_job_client.ipynb
new file mode 100644
index 00000000..b2be6826
--- /dev/null
+++ b/demo-notebooks/additional-demos/remote_ray_job_client.ipynb
@@ -0,0 +1,103 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Submit a training job remotely to Ray Dashboard protected by oAuth.\n",
+    "This notebook will demonstrate how to submit Ray jobs to an existing Raycluster, using the CodeFlare SDK.\n",
+    "\n",
+    "### Requirements\n",
+    "* Ray Cluster running in OpenShift protected by oAuth.\n",
+    "* The Ray Dashboard URL for the Ray Cluster.\n",
+    "* An OpenShift authorization token with permissions to access the Route.\n",
+    "* A training job, defined in python, within the working directory.\n",
+    "* A requirements.txt or equivalent file containing any additional packages to install onto the Ray images."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import dependencies from codeflare-sdk\n",
+    "from codeflare_sdk import RayJobClient"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Setup Authentication Configuration \n",
+    "auth_token = \"XXXX\" # Replace with the actual token\n",
+    "header = {\n",
+    "    'Authorization': f'Bearer {auth_token}'\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Gather the dashboard URL (provided by the creator of the RayCluster)\n",
+    "ray_dashboard = \"XXXX\" # Replace with the Ray dashboard URL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Initialize the RayJobClient\n",
+    "client = RayJobClient(address=ray_dashboard, headers=header, verify=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Submit a job using the RayJobClient\n",
+    "entrypoint_command = \"python XXXX\" # Replace with the training script name\n",
+    "submission_id = client.submit_job(\n",
+    "    entrypoint=entrypoint_command,\n",
+    "    runtime_env={\"working_dir\": \"./\",\"pip\": \"requirements.txt\"},\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get the job's status\n",
+    "client.get_job_status(submission_id)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get the job's logs\n",
+    "client.get_job_logs(submission_id)"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 973d3200caebb4efc844be23d244e37f29055200 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Wed, 11 Jun 2025 14:03:56 +0100
Subject: [PATCH 236/254] fix: add actions permissions to release action

---
 .github/workflows/release.yaml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/.github/workflows/release.yaml b/.github/workflows/release.yaml
index 50e3f9e1..c3e47dab 100644
--- a/.github/workflows/release.yaml
+++ b/.github/workflows/release.yaml
@@ -37,6 +37,7 @@ jobs:
             contents: write
             id-token: write  # This permission is required for trusted publishing
             pull-requests: write # This permission is required for creating PRs
+            actions: write # This permission is required for running actions
         steps:
             - name: Checkout the repository
               uses: actions/checkout@v4

From 6e43e0905be46d5707b7518ecbb7ab99d645dd25 Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Tue, 1 Jul 2025 09:41:13 +0100
Subject: [PATCH 237/254] task(RHOAIENG-28599): Removed dep fields min_cpus
 max_cpus min_memory max_memory

Signed-off-by: Pat O'Connor 
---
 .../user-docs/cluster-configuration.rst       |  8 -------
 src/codeflare_sdk/ray/cluster/config.py       | 24 -------------------
 src/codeflare_sdk/ray/cluster/test_config.py  | 10 +++-----
 3 files changed, 3 insertions(+), 39 deletions(-)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index ad4e248e..18fceeac 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -172,11 +172,3 @@ deprecated.
      - ``head_cpu_requests``, ``head_cpu_limits``
    * - ``head_memory``
      - ``head_memory_requests``, ``head_memory_limits``
-   * - ``min_cpus``
-     - ``worker_cpu_requests``
-   * - ``max_cpus``
-     - ``worker_cpu_limits``
-   * - ``min_memory``
-     - ``worker_memory_requests``
-   * - ``max_memory``
-     - ``worker_memory_limits``
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index bce54c32..ec89924a 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -58,16 +58,8 @@ class ClusterConfiguration:
             A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1}
         head_tolerations:
             List of tolerations for head nodes.
-        min_cpus:
-            The minimum number of CPUs to allocate to each worker.
-        max_cpus:
-            The maximum number of CPUs to allocate to each worker.
         num_workers:
             The number of workers to create.
-        min_memory:
-            The minimum amount of memory to allocate to each worker.
-        max_memory:
-            The maximum amount of memory to allocate to each worker.
         worker_tolerations:
             List of tolerations for worker nodes.
         appwrapper:
@@ -122,13 +114,9 @@ class ClusterConfiguration:
     head_tolerations: Optional[List[V1Toleration]] = None
     worker_cpu_requests: Union[int, str] = 1
     worker_cpu_limits: Union[int, str] = 1
-    min_cpus: Optional[Union[int, str]] = None  # Deprecating
-    max_cpus: Optional[Union[int, str]] = None  # Deprecating
     num_workers: int = 1
     worker_memory_requests: Union[int, str] = 2
     worker_memory_limits: Union[int, str] = 2
-    min_memory: Optional[Union[int, str]] = None  # Deprecating
-    max_memory: Optional[Union[int, str]] = None  # Deprecating
     worker_tolerations: Optional[List[V1Toleration]] = None
     appwrapper: bool = False
     envs: Dict[str, str] = field(default_factory=dict)
@@ -250,12 +238,6 @@ def _cpu_to_resource(self):
                 "head_cpus is being deprecated, use head_cpu_requests and head_cpu_limits"
             )
             self.head_cpu_requests = self.head_cpu_limits = self.head_cpus
-        if self.min_cpus:
-            warnings.warn("min_cpus is being deprecated, use worker_cpu_requests")
-            self.worker_cpu_requests = self.min_cpus
-        if self.max_cpus:
-            warnings.warn("max_cpus is being deprecated, use worker_cpu_limits")
-            self.worker_cpu_limits = self.max_cpus
 
     def _memory_to_resource(self):
         if self.head_memory:
@@ -263,12 +245,6 @@ def _memory_to_resource(self):
                 "head_memory is being deprecated, use head_memory_requests and head_memory_limits"
             )
             self.head_memory_requests = self.head_memory_limits = self.head_memory
-        if self.min_memory:
-            warnings.warn("min_memory is being deprecated, use worker_memory_requests")
-            self.worker_memory_requests = f"{self.min_memory}G"
-        if self.max_memory:
-            warnings.warn("max_memory is being deprecated, use worker_memory_limits")
-            self.worker_memory_limits = f"{self.max_memory}G"
 
     def _validate_types(self):
         """Validate the types of all fields in the ClusterConfiguration dataclass."""
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index 23da97c3..6f002df1 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -141,19 +141,15 @@ def test_cluster_config_deprecation_conversion(mocker):
         name="test",
         head_cpus=3,
         head_memory=16,
-        min_memory=3,
-        max_memory=4,
-        min_cpus=1,
-        max_cpus=2,
     )
     assert config.head_cpu_requests == 3
     assert config.head_cpu_limits == 3
     assert config.head_memory_requests == "16G"
     assert config.head_memory_limits == "16G"
-    assert config.worker_memory_requests == "3G"
-    assert config.worker_memory_limits == "4G"
+    assert config.worker_memory_requests == "2G"
+    assert config.worker_memory_limits == "2G"
     assert config.worker_cpu_requests == 1
-    assert config.worker_cpu_limits == 2
+    assert config.worker_cpu_limits == 1
 
 
 def test_gcs_fault_tolerance_config_validation():

From 6e47ec94bbc8552aee099b82c4d9df9b789cc761 Mon Sep 17 00:00:00 2001
From: Pawel Paszki 
Date: Mon, 7 Jul 2025 12:48:49 +0100
Subject: [PATCH 238/254] test: increase limits to fix ray cluster issues in
 upgrade tests (#854)

---
 tests/upgrade/raycluster_sdk_upgrade_test.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/tests/upgrade/raycluster_sdk_upgrade_test.py b/tests/upgrade/raycluster_sdk_upgrade_test.py
index 7c8b2922..7a6d583e 100644
--- a/tests/upgrade/raycluster_sdk_upgrade_test.py
+++ b/tests/upgrade/raycluster_sdk_upgrade_test.py
@@ -50,12 +50,12 @@ def run_mnist_raycluster_sdk_oauth(self):
                 num_workers=1,
                 head_cpu_requests=1,
                 head_cpu_limits=1,
-                head_memory_requests=4,
-                head_memory_limits=4,
+                head_memory_requests=6,
+                head_memory_limits=8,
                 worker_cpu_requests=1,
                 worker_cpu_limits=1,
-                worker_memory_requests=4,
-                worker_memory_limits=4,
+                worker_memory_requests=6,
+                worker_memory_limits=8,
                 image=ray_image,
                 write_to_file=True,
                 verify_tls=False,

From fc6baa2482ff129264b9a312d146a5552f91e576 Mon Sep 17 00:00:00 2001
From: "github-actions[bot]" 
Date: Mon, 7 Jul 2025 11:49:44 +0000
Subject: [PATCH 239/254] Updated coverage.svg

---
 coverage.svg | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/coverage.svg b/coverage.svg
index 59d64b37..a8c7e72a 100644
--- a/coverage.svg
+++ b/coverage.svg
@@ -15,7 +15,7 @@
     
         coverage
         coverage
-        93%
-        93%
+        92%
+        92%
     
 

From 529e32d4766671ab81c2c4f036212afce9c355ae Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Fri, 4 Jul 2025 10:42:18 +0100
Subject: [PATCH 240/254] RHOAIENG-27828: Update Ray Version references

---
 .../additional-demos/local_interactive.ipynb  |   2 +-
 .../additional-demos/ray_job_client.ipynb     |   2 +-
 demo-notebooks/guided-demos/0_basic_ray.ipynb |   2 +-
 .../guided-demos/1_cluster_job_client.ipynb   |   2 +-
 .../guided-demos/2_basic_interactive.ipynb    |   2 +-
 .../guided-demos/3_widget_example.ipynb       |   2 +-
 .../1_cluster_job_client.ipynb                |   2 +-
 .../2_basic_interactive.ipynb                 |   2 +-
 .../notebook-ex-outputs/interactivetest.yaml  |   6 +-
 .../notebook-ex-outputs/jobtest.yaml          |   6 +-
 .../notebook-ex-outputs/raytest.yaml          |   6 +-
 .../preview_nbs/0_basic_ray.ipynb             |   2 +-
 .../preview_nbs/1_cluster_job_client.ipynb    |   2 +-
 .../preview_nbs/2_basic_interactive.ipynb     |   2 +-
 .../user-docs/cluster-configuration.rst       |   4 +-
 poetry.lock                                   | 196 +++++++++++++++---
 pyproject.toml                                |   2 +-
 src/codeflare_sdk/common/utils/constants.py   |   2 +-
 .../appwrapper/test-case-bad.yaml             |   2 +-
 .../appwrapper/unit-test-all-params.yaml      |   2 +-
 tests/test_cluster_yamls/kueue/aw_kueue.yaml  |   2 +-
 .../kueue/ray_cluster_kueue.yaml              |   2 +-
 .../ray/default-appwrapper.yaml               |   2 +-
 .../ray/default-ray-cluster.yaml              |   2 +-
 .../ray/unit-test-all-params.yaml             |   2 +-
 .../support_clusters/test-aw-a.yaml           |   2 +-
 .../support_clusters/test-aw-b.yaml           |   2 +-
 .../support_clusters/test-rc-a.yaml           |   2 +-
 .../support_clusters/test-rc-b.yaml           |   2 +-
 29 files changed, 197 insertions(+), 69 deletions(-)

diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb
index be30ba40..a46e5d9f 100644
--- a/demo-notebooks/additional-demos/local_interactive.ipynb
+++ b/demo-notebooks/additional-demos/local_interactive.ipynb
@@ -37,7 +37,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb
index 599b2425..99187b4a 100644
--- a/demo-notebooks/additional-demos/ray_job_client.ipynb
+++ b/demo-notebooks/additional-demos/ray_job_client.ipynb
@@ -43,7 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb
index 7e3bbd08..9a2ed8ca 100644
--- a/demo-notebooks/guided-demos/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb
@@ -49,7 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
index 2aef3184..725866d7 100644
--- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
@@ -43,7 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
index df7728b3..890bdb47 100644
--- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
@@ -46,7 +46,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/3_widget_example.ipynb b/demo-notebooks/guided-demos/3_widget_example.ipynb
index 56bd0a5e..d09271c9 100644
--- a/demo-notebooks/guided-demos/3_widget_example.ipynb
+++ b/demo-notebooks/guided-demos/3_widget_example.ipynb
@@ -49,7 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
index b1f0d5f6..6f5850ac 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
@@ -43,7 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
index bf0b49de..58a6c9e2 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
@@ -46,7 +46,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml
index 5182b92a..443da33c 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/interactivetest.yaml
@@ -81,7 +81,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.46.0-py311-cu121
+                  image: quay.io/modh/ray:2.47.1-py311-cu121
                   imagePullPolicy: Always
                   lifecycle:
                     preStop:
@@ -108,7 +108,7 @@ spec:
                       memory: 8G
                       nvidia.com/gpu: 0
                 imagePullSecrets: []
-          rayVersion: 2.1.0
+          rayVersion: 2.47.1
           workerGroupSpecs:
           - groupName: small-group-interactivetest
             maxReplicas: 2
@@ -147,7 +147,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.46.0-py311-cu121
+                  image: quay.io/modh/ray:2.47.1-py311-cu121
                   lifecycle:
                     preStop:
                       exec:
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml
index 5df084fd..5d5b0b0e 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/jobtest.yaml
@@ -70,7 +70,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.46.0-py311-cu121
+                  image: quay.io/modh/ray:2.47.1-py311-cu121
                   imagePullPolicy: Always
                   lifecycle:
                     preStop:
@@ -97,7 +97,7 @@ spec:
                       memory: 8G
                       nvidia.com/gpu: 0
                 imagePullSecrets: []
-          rayVersion: 2.1.0
+          rayVersion: 2.47.1
           workerGroupSpecs:
           - groupName: small-group-jobtest
             maxReplicas: 2
@@ -127,7 +127,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.46.0-py311-cu121
+                  image: quay.io/modh/ray:2.47.1-py311-cu121
                   lifecycle:
                     preStop:
                       exec:
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml
index ae81b795..81796687 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/raytest.yaml
@@ -70,7 +70,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.46.0-py311-cu121
+                  image: quay.io/modh/ray:2.47.1-py311-cu121
                   imagePullPolicy: Always
                   lifecycle:
                     preStop:
@@ -97,7 +97,7 @@ spec:
                       memory: 8G
                       nvidia.com/gpu: 0
                 imagePullSecrets: []
-          rayVersion: 2.1.0
+          rayVersion: 2.47.1
           workerGroupSpecs:
           - groupName: small-group-raytest
             maxReplicas: 2
@@ -127,7 +127,7 @@ spec:
                     value: /home/ray/workspace/tls/server.key
                   - name: RAY_TLS_CA_CERT
                     value: /home/ray/workspace/tls/ca.crt
-                  image: quay.io/modh/ray:2.46.0-py311-cu121
+                  image: quay.io/modh/ray:2.47.1-py311-cu121
                   lifecycle:
                     preStop:
                       exec:
diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
index 8d97751a..119d9ce6 100644
--- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
@@ -49,7 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
index 58cb4958..db574ceb 100644
--- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
@@ -43,7 +43,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
index 4538c8d5..8f70f6c2 100644
--- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
@@ -46,7 +46,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index 18fceeac..c810148b 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -35,12 +35,12 @@ requirements for creating the Ray Cluster.
   The default images used by the CodeFlare SDK for creating
   a RayCluster resource depend on the installed Python version:
 
-  - For Python 3.11: `quay.io/modh/ray:2.46.0-py311-cu121`
+  - For Python 3.11: `quay.io/modh/ray:2.47.1-py311-cu121`
 
   If you prefer to use a custom Ray image that better suits your
   needs, you can specify it in the image field to override the default.
   If you are using ROCm compatible GPUs you
-  can use `quay.io/modh/ray:2.35.0-py311-rocm62`. You can also find
+  can use `quay.io/modh/ray:2.47.1-py311-rocm62`. You can also find
   documentation on building a custom image
   `here `__.
 
diff --git a/poetry.lock b/poetry.lock
index 08d51b6f..89bca284 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1364,6 +1364,30 @@ files = [
     {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"},
 ]
 
+[[package]]
+name = "importlib-metadata"
+version = "8.7.0"
+description = "Read metadata from Python packages"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
+    {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
+]
+
+[package.dependencies]
+zipp = ">=3.20"
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+perf = ["ipython"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy"]
+
 [[package]]
 name = "iniconfig"
 version = "2.1.0"
@@ -2419,6 +2443,87 @@ paramiko = "*"
 pyyaml = "*"
 six = "*"
 
+[[package]]
+name = "opentelemetry-api"
+version = "1.34.1"
+description = "OpenTelemetry Python API"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "opentelemetry_api-1.34.1-py3-none-any.whl", hash = "sha256:b7df4cb0830d5a6c29ad0c0691dbae874d8daefa934b8b1d642de48323d32a8c"},
+    {file = "opentelemetry_api-1.34.1.tar.gz", hash = "sha256:64f0bd06d42824843731d05beea88d4d4b6ae59f9fe347ff7dfa2cc14233bbb3"},
+]
+
+[package.dependencies]
+importlib-metadata = ">=6.0,<8.8.0"
+typing-extensions = ">=4.5.0"
+
+[[package]]
+name = "opentelemetry-exporter-prometheus"
+version = "0.55b1"
+description = "Prometheus Metric Exporter for OpenTelemetry"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "opentelemetry_exporter_prometheus-0.55b1-py3-none-any.whl", hash = "sha256:f364fbbff9e5de37a112ff104d1185fb1d7e2046c5ab5911e5afebc7ab3ddf0e"},
+    {file = "opentelemetry_exporter_prometheus-0.55b1.tar.gz", hash = "sha256:d13ec0b22bf394113ff1ada5da98133a4b051779b803dae183188e26c4bd9ee0"},
+]
+
+[package.dependencies]
+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-sdk = ">=1.34.1,<1.35.0"
+prometheus-client = ">=0.5.0,<1.0.0"
+
+[[package]]
+name = "opentelemetry-proto"
+version = "1.11.1"
+description = "OpenTelemetry Python Proto"
+optional = false
+python-versions = ">=3.6"
+groups = ["main"]
+files = [
+    {file = "opentelemetry-proto-1.11.1.tar.gz", hash = "sha256:5df0ec69510a9e2414c0410d91a698ded5a04d3dd37f7d2a3e119e3c42a30647"},
+    {file = "opentelemetry_proto-1.11.1-py3-none-any.whl", hash = "sha256:4d4663123b4777823aa533f478c6cef3ecbcf696d8dc6ac7fd6a90f37a01eafd"},
+]
+
+[package.dependencies]
+protobuf = ">=3.13.0"
+
+[[package]]
+name = "opentelemetry-sdk"
+version = "1.34.1"
+description = "OpenTelemetry Python SDK"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "opentelemetry_sdk-1.34.1-py3-none-any.whl", hash = "sha256:308effad4059562f1d92163c61c8141df649da24ce361827812c40abb2a1e96e"},
+    {file = "opentelemetry_sdk-1.34.1.tar.gz", hash = "sha256:8091db0d763fcd6098d4781bbc80ff0971f94e260739aa6afe6fd379cdf3aa4d"},
+]
+
+[package.dependencies]
+opentelemetry-api = "1.34.1"
+opentelemetry-semantic-conventions = "0.55b1"
+typing-extensions = ">=4.5.0"
+
+[[package]]
+name = "opentelemetry-semantic-conventions"
+version = "0.55b1"
+description = "OpenTelemetry Semantic Conventions"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "opentelemetry_semantic_conventions-0.55b1-py3-none-any.whl", hash = "sha256:5da81dfdf7d52e3d37f8fe88d5e771e191de924cfff5f550ab0b8f7b2409baed"},
+    {file = "opentelemetry_semantic_conventions-0.55b1.tar.gz", hash = "sha256:ef95b1f009159c28d7a7849f5cbc71c4c34c845bb514d66adfdf1b3fff3598b3"},
+]
+
+[package.dependencies]
+opentelemetry-api = "1.34.1"
+typing-extensions = ">=4.5.0"
+
 [[package]]
 name = "overrides"
 version = "7.7.0"
@@ -3455,36 +3560,36 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "ray"
-version = "2.46.0"
+version = "2.47.1"
 description = "Ray provides a simple, universal API for building distributed applications."
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "ray-2.46.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:719244b84df79502e5f09497f256618d94d78d66fbaf229422008a0568d3a0ff"},
-    {file = "ray-2.46.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4378a86919e6643238a1094f711b87fa8dc1a18b998d4190f69ab33c64a22a8c"},
-    {file = "ray-2.46.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:396b912a4dbf64966e2fdfca9facbcafe57b792ca4842ac5ae17507fdbdfe89f"},
-    {file = "ray-2.46.0-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:c12850608c57c8afd9613a9f757d77663c50d4bd4e77ba2f181425052520c01a"},
-    {file = "ray-2.46.0-cp310-cp310-win_amd64.whl", hash = "sha256:bc953aa4879c7a77893f921905df5cf65227cafd94fbc8273bec65ea393eacdd"},
-    {file = "ray-2.46.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:942ba51de6f9cd7fb2ed17618181af48ce6b9517743d3235d846ec32295eca76"},
-    {file = "ray-2.46.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:af84f3ed0854bb6de28192ca9e0a3bfa1eb34d69f118ae6348522198896480c8"},
-    {file = "ray-2.46.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:81c8ce8b7ba33cb607ec78f5eb2555470e3046bb317732d8282e8189bb58ccbd"},
-    {file = "ray-2.46.0-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:d4ddedc3f4d48df564bcee7b131c98c9f898fef0a57483f4ba335f47f951a62f"},
-    {file = "ray-2.46.0-cp311-cp311-win_amd64.whl", hash = "sha256:130415c4d231830156f37ce70acbdb5fdee10f6886adc4e85bdc4533d51c24c6"},
-    {file = "ray-2.46.0-cp312-cp312-macosx_10_15_x86_64.whl", hash = "sha256:d1f37ead29299637144726f809c2e0ff958dd9c0e75930ef614156d6a0a3a57f"},
-    {file = "ray-2.46.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b7a064acfeee7f0677d9e3f25daef9c59593559faea764b44a3e2c5331d5d832"},
-    {file = "ray-2.46.0-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:006cbe1a8fdc37664114aa218773100ee891399785e256c202e48958d2dac167"},
-    {file = "ray-2.46.0-cp312-cp312-manylinux2014_x86_64.whl", hash = "sha256:5cec1edda93f618ffd2301f81d5398037f03fa9b16825e7e4d8a00ae7a9a4381"},
-    {file = "ray-2.46.0-cp312-cp312-win_amd64.whl", hash = "sha256:7d3160f8d187baaea91a86d16a9fd81136cf8607419c94b7a74d66fce774b5c2"},
-    {file = "ray-2.46.0-cp313-cp313-macosx_10_15_x86_64.whl", hash = "sha256:b2fc2c43ea0a37521193c61ef9a27b6fca8dbab116a58a52fd44344cd73e1ece"},
-    {file = "ray-2.46.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:4296dd8c0174256a04ee4b54abe013b6802a45fb85fb7cfdb1375231965d6d4d"},
-    {file = "ray-2.46.0-cp313-cp313-manylinux2014_aarch64.whl", hash = "sha256:808daece1f12bd8924b9c6382a0f98da6f5c6886cfb271ed8d89407a89413cd5"},
-    {file = "ray-2.46.0-cp313-cp313-manylinux2014_x86_64.whl", hash = "sha256:a5a28c0a311d2c3221dcf729c40898a6df82466bb5af21e81be0453e09856adf"},
-    {file = "ray-2.46.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:e0ec198c16d0e9af7f03242ef7ad7d548eee37a918193917278a124ddd57410a"},
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 ]
 
 [package.dependencies]
@@ -3499,6 +3604,9 @@ jsonschema = "*"
 msgpack = ">=1.0.0,<2.0.0"
 numpy = {version = ">=1.20", optional = true, markers = "extra == \"data\""}
 opencensus = {version = "*", optional = true, markers = "extra == \"default\""}
+opentelemetry-exporter-prometheus = {version = "*", optional = true, markers = "extra == \"default\""}
+opentelemetry-proto = {version = "*", optional = true, markers = "extra == \"default\""}
+opentelemetry-sdk = {version = "*", optional = true, markers = "extra == \"default\""}
 packaging = "*"
 pandas = {version = ">=1.3", optional = true, markers = "extra == \"data\""}
 prometheus-client = {version = ">=0.7.1", optional = true, markers = "extra == \"default\""}
@@ -3519,19 +3627,19 @@ virtualenv = {version = ">=20.0.24,<20.21.1 || >20.21.1", optional = true, marke
 
 [package.extras]
 adag = ["cupy-cuda12x ; sys_platform != \"darwin\""]
-air = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-all = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\"", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==1.0.0)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-all-cpp = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\"", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==1.0.0)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "ray-cpp (==2.46.0)", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+air = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "numpy (>=1.20)", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+all = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\"", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==1.0.0)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+all-cpp = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "cupy-cuda12x ; sys_platform != \"darwin\"", "dm-tree", "fastapi", "fsspec", "grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\"", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "gymnasium (==1.0.0)", "lz4", "memray ; sys_platform != \"win32\"", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk", "ormsgpack (==1.7.0)", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "pyyaml", "ray-cpp (==2.47.1)", "requests", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
 cgraph = ["cupy-cuda12x ; sys_platform != \"darwin\""]
 client = ["grpcio", "grpcio (!=1.56.0) ; sys_platform == \"darwin\""]
-cpp = ["ray-cpp (==2.46.0)"]
+cpp = ["ray-cpp (==2.47.1)"]
 data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)"]
-default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,!=20.21.1)"]
-llm = ["aiohttp (>=3.7)", "aiohttp-cors", "async-timeout ; python_version < \"3.11\"", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "jsonref (>=1.1.0)", "jsonschema", "ninja", "numpy (>=1.20)", "opencensus", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "vllm (>=0.8.5)", "watchfiles"]
+default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,!=20.21.1)"]
+llm = ["aiohttp (>=3.7)", "aiohttp-cors", "async-timeout ; python_version < \"3.11\"", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "jsonref (>=1.1.0)", "jsonschema", "ninja", "numpy (>=1.20)", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "vllm (>=0.8.5)", "watchfiles"]
 observability = ["memray ; sys_platform != \"win32\"", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
 rllib = ["dm-tree", "fsspec", "gymnasium (==1.0.0)", "lz4", "ormsgpack (==1.7.0)", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pyyaml", "requests", "scipy", "tensorboardX (>=1.9)"]
-serve = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
-serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+serve = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+serve-grpc = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "grpcio (>=1.32.0) ; python_version < \"3.10\"", "grpcio (>=1.42.0) ; python_version >= \"3.10\"", "opencensus", "opentelemetry-exporter-prometheus", "opentelemetry-proto", "opentelemetry-sdk", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0) ; python_version < \"3.12\"", "py-spy (>=0.4.0) ; python_version >= \"3.12\"", "pyOpenSSL", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "smart-open", "starlette", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
 train = ["fsspec", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "pydantic (<2.0.dev0 || >=2.5.dev0,<3)", "requests", "tensorboardX (>=1.9)"]
 tune = ["fsspec", "pandas", "pyarrow (<18) ; sys_platform == \"darwin\" and platform_machine == \"x86_64\"", "pyarrow (>=9.0.0)", "requests", "tensorboardX (>=1.9)"]
 
@@ -4525,7 +4633,27 @@ idna = ">=2.0"
 multidict = ">=4.0"
 propcache = ">=0.2.1"
 
+[[package]]
+name = "zipp"
+version = "3.23.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
+    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.11"
-content-hash = "7cdd47cb60807e3032d9746b1c3ace156a10f9b6b430c740f0201a8aed7ac860"
+content-hash = "29175d71269b0c8a1a53eb7027e8d824ef150bf8b4aa4cea8a9ed75684aa6e43"
diff --git a/pyproject.toml b/pyproject.toml
index 03c390c3..8615f894 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,7 +23,7 @@ keywords = ['codeflare', 'python', 'sdk', 'client', 'batch', 'scale']
 python = "^3.11"
 openshift-client = "1.0.18"
 rich = ">=12.5,<14.0"
-ray = {version = "2.46.0", extras = ["data", "default"]}
+ray = {version = "2.47.1", extras = ["data", "default"]}
 kubernetes = ">= 27.2.0"
 cryptography = "43.0.3"
 executing = "1.2.0"
diff --git a/src/codeflare_sdk/common/utils/constants.py b/src/codeflare_sdk/common/utils/constants.py
index a10e3e0e..270d8d46 100644
--- a/src/codeflare_sdk/common/utils/constants.py
+++ b/src/codeflare_sdk/common/utils/constants.py
@@ -1 +1 @@
-RAY_VERSION = "2.46.0"
+RAY_VERSION = "2.47.1"
diff --git a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
index 4aa4d3dd..c6972565 100644
--- a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
+++ b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
@@ -66,7 +66,7 @@ spec:
                   requests:
                     cpu: 2
                     memory: 8G
-        rayVersion: 2.46.0
+        rayVersion: 2.47.1
         workerGroupSpecs:
         - groupName: small-group-unit-test-cluster
           maxReplicas: 2
diff --git a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
index bfe23893..aa097dd9 100644
--- a/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/appwrapper/unit-test-all-params.yaml
@@ -138,7 +138,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.46.0
+        rayVersion: 2.47.1
         workerGroupSpecs:
         - groupName: small-group-aw-all-params
           maxReplicas: 10
diff --git a/tests/test_cluster_yamls/kueue/aw_kueue.yaml b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
index 08b6d5cf..f5f16406 100644
--- a/tests/test_cluster_yamls/kueue/aw_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/aw_kueue.yaml
@@ -93,7 +93,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.46.0
+        rayVersion: 2.47.1
         workerGroupSpecs:
         - groupName: small-group-unit-test-aw-kueue
           maxReplicas: 2
diff --git a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
index bb8e8494..d6db4f4a 100644
--- a/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
+++ b/tests/test_cluster_yamls/kueue/ray_cluster_kueue.yaml
@@ -93,7 +93,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.46.0
+        rayVersion: 2.47.1
         workerGroupSpecs:
         - groupName: small-group-unit-test-cluster-kueue
           maxReplicas: 2
diff --git a/tests/test_cluster_yamls/ray/default-appwrapper.yaml b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
index 22fba282..27828163 100644
--- a/tests/test_cluster_yamls/ray/default-appwrapper.yaml
+++ b/tests/test_cluster_yamls/ray/default-appwrapper.yaml
@@ -91,7 +91,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.46.0
+        rayVersion: 2.47.1
         workerGroupSpecs:
         - groupName: small-group-default-appwrapper
           maxReplicas: 1
diff --git a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
index 75713321..d2e6b05a 100644
--- a/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
+++ b/tests/test_cluster_yamls/ray/default-ray-cluster.yaml
@@ -83,7 +83,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.46.0
+  rayVersion: 2.47.1
   workerGroupSpecs:
   - groupName: small-group-default-cluster
     maxReplicas: 1
diff --git a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
index 98da45b1..ee0878c1 100644
--- a/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
+++ b/tests/test_cluster_yamls/ray/unit-test-all-params.yaml
@@ -129,7 +129,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.46.0
+  rayVersion: 2.47.1
   workerGroupSpecs:
   - groupName: small-group-test-all-params
     maxReplicas: 10
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
index 4ffbef98..00e8755d 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
@@ -91,7 +91,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.46.0
+        rayVersion: 2.47.1
         workerGroupSpecs:
         - groupName: small-group-test-cluster-a
           maxReplicas: 1
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
index 56d2a8e2..be01e68b 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
@@ -91,7 +91,7 @@ spec:
                   name: odh-trusted-ca-bundle
                   optional: true
                 name: odh-ca-cert
-        rayVersion: 2.46.0
+        rayVersion: 2.47.1
         workerGroupSpecs:
         - groupName: small-group-test-cluster-b
           maxReplicas: 1
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
index e504566a..553d285a 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
@@ -82,7 +82,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.46.0
+  rayVersion: 2.47.1
   workerGroupSpecs:
   - groupName: small-group-test-cluster-a
     maxReplicas: 1
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
index 22162295..1b84ee02 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
@@ -82,7 +82,7 @@ spec:
             name: odh-trusted-ca-bundle
             optional: true
           name: odh-ca-cert
-  rayVersion: 2.46.0
+  rayVersion: 2.47.1
   workerGroupSpecs:
   - groupName: small-group-test-rc-b
     maxReplicas: 1

From f9f86719e09e56995efa5ad03facb21846041574 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Mon, 7 Jul 2025 13:14:04 +0100
Subject: [PATCH 241/254] RHOAIENG-27828: Template runtime image SHA

---
 .../notebook-ex-outputs/0_basic_ray.ipynb     |  2 +-
 src/codeflare_sdk/common/utils/constants.py   |  2 +
 .../common/utils/unit_test_support.py         | 52 +++++++++++++------
 .../ray/appwrapper/test_awload.py             |  9 +++-
 .../ray/cluster/build_ray_cluster.py          |  4 +-
 tests/e2e/support.py                          |  4 +-
 .../appwrapper/test-case-bad.yaml             |  4 +-
 .../support_clusters/test-aw-a.yaml           |  4 +-
 .../support_clusters/test-aw-b.yaml           |  4 +-
 .../support_clusters/test-rc-a.yaml           |  4 +-
 .../support_clusters/test-rc-b.yaml           |  4 +-
 11 files changed, 61 insertions(+), 32 deletions(-)

diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
index 8d97751a..119d9ce6 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
@@ -49,7 +49,7 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.46.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/src/codeflare_sdk/common/utils/constants.py b/src/codeflare_sdk/common/utils/constants.py
index 270d8d46..9721ac85 100644
--- a/src/codeflare_sdk/common/utils/constants.py
+++ b/src/codeflare_sdk/common/utils/constants.py
@@ -1 +1,3 @@
 RAY_VERSION = "2.47.1"
+# Below references ray:2.47.1-py311-cu121
+CUDA_RUNTIME_IMAGE = "quay.io/modh/ray@sha256:6d076aeb38ab3c34a6a2ef0f58dc667089aa15826fa08a73273c629333e12f1e"
diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index eee8d933..b382ec01 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -14,6 +14,7 @@
 
 import string
 import sys
+from codeflare_sdk.common.utils import constants
 from codeflare_sdk.ray.cluster.cluster import (
     Cluster,
     ClusterConfiguration,
@@ -68,7 +69,7 @@ def create_cluster_wrong_type():
         worker_extended_resource_requests={"nvidia.com/gpu": 7},
         appwrapper=True,
         image_pull_secrets=["unit-test-pull-secret"],
-        image="quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707",
+        image=constants.CUDA_RUNTIME_IMAGE,
         write_to_file=True,
         labels={1: 1},
     )
@@ -148,9 +149,14 @@ def get_cluster_object(file_a, file_b):
 
 def get_ray_obj(group, version, namespace, plural):
     # To be used for mocking list_namespaced_custom_object for Ray Clusters
-    rc_a_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml"
-    rc_b_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml"
-    rc_a, rc_b = get_cluster_object(rc_a_path, rc_b_path)
+    rc_a = apply_template(
+        f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml",
+        get_template_variables(),
+    )
+    rc_b = apply_template(
+        f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml",
+        get_template_variables(),
+    )
 
     rc_list = {"items": [rc_a, rc_b]}
     return rc_list
@@ -158,9 +164,14 @@ def get_ray_obj(group, version, namespace, plural):
 
 def get_ray_obj_with_status(group, version, namespace, plural):
     # To be used for mocking list_namespaced_custom_object for Ray Clusters with statuses
-    rc_a_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml"
-    rc_b_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml"
-    rc_a, rc_b = get_cluster_object(rc_a_path, rc_b_path)
+    rc_a = apply_template(
+        f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml",
+        get_template_variables(),
+    )
+    rc_b = apply_template(
+        f"{parent}/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml",
+        get_template_variables(),
+    )
 
     rc_a.update(
         {
@@ -205,9 +216,14 @@ def get_ray_obj_with_status(group, version, namespace, plural):
 
 def get_aw_obj(group, version, namespace, plural):
     # To be used for mocking list_namespaced_custom_object for AppWrappers
-    aw_a_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml"
-    aw_b_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml"
-    aw_a, aw_b = get_cluster_object(aw_a_path, aw_b_path)
+    aw_a = apply_template(
+        f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml",
+        get_template_variables(),
+    )
+    aw_b = apply_template(
+        f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml",
+        get_template_variables(),
+    )
 
     aw_list = {"items": [aw_a, aw_b]}
     return aw_list
@@ -215,9 +231,14 @@ def get_aw_obj(group, version, namespace, plural):
 
 def get_aw_obj_with_status(group, version, namespace, plural):
     # To be used for mocking list_namespaced_custom_object for AppWrappers with statuses
-    aw_a_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml"
-    aw_b_path = f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml"
-    aw_a, aw_b = get_cluster_object(aw_a_path, aw_b_path)
+    aw_a = apply_template(
+        f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml",
+        get_template_variables(),
+    )
+    aw_b = apply_template(
+        f"{parent}/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml",
+        get_template_variables(),
+    )
 
     aw_a.update(
         {
@@ -273,9 +294,8 @@ def apply_template(yaml_file_path, variables):
 
 
 def get_expected_image():
-    # TODO: Add Python 3.12 support
-    python_version = sys.version_info
-    return "quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707"
+    # TODO: Select image based on Python version
+    return constants.CUDA_RUNTIME_IMAGE
 
 
 def get_template_variables():
diff --git a/src/codeflare_sdk/ray/appwrapper/test_awload.py b/src/codeflare_sdk/ray/appwrapper/test_awload.py
index 6909394b..3f45e1a5 100644
--- a/src/codeflare_sdk/ray/appwrapper/test_awload.py
+++ b/src/codeflare_sdk/ray/appwrapper/test_awload.py
@@ -12,8 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 from codeflare_sdk.common.utils.unit_test_support import (
+    apply_template,
     arg_check_aw_apply_effect,
     arg_check_aw_del_effect,
+    get_template_variables,
 )
 from codeflare_sdk.ray.appwrapper import AWManager
 from codeflare_sdk.ray.cluster import Cluster, ClusterConfiguration
@@ -47,8 +49,11 @@ def test_AWManager_creation(mocker):
         assert type(e) == FileNotFoundError
         assert str(e) == "[Errno 2] No such file or directory: 'fake'"
     try:
-        testaw = AWManager(
-            f"{parent}/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml"
+        testaw = apply_template(
+            AWManager(
+                f"{parent}/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml"
+            ),
+            get_template_variables(),
         )
     except Exception as e:
         assert type(e) == ValueError
diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index 11b10fc3..92cefef4 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -50,6 +50,8 @@
 import warnings
 import json
 
+from codeflare_sdk.common.utils import constants
+
 FORBIDDEN_CUSTOM_RESOURCE_TYPES = ["GPU", "CPU", "memory"]
 VOLUME_MOUNTS = [
     V1VolumeMount(
@@ -94,7 +96,7 @@
 ]
 
 SUPPORTED_PYTHON_VERSIONS = {
-    "3.11": "quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707",
+    "3.11": constants.CUDA_RUNTIME_IMAGE,
 }
 
 
diff --git a/tests/e2e/support.py b/tests/e2e/support.py
index c81f5b73..165a680b 100644
--- a/tests/e2e/support.py
+++ b/tests/e2e/support.py
@@ -7,6 +7,7 @@
 from codeflare_sdk.common.kubernetes_cluster.kube_api_helpers import (
     _kube_api_error_handling,
 )
+from codeflare_sdk.common.utils import constants
 
 
 def get_ray_cluster(cluster_name, namespace):
@@ -26,8 +27,7 @@ def get_ray_cluster(cluster_name, namespace):
 
 
 def get_ray_image():
-    default_ray_image = "quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707"
-    return os.getenv("RAY_IMAGE", default_ray_image)
+    return os.getenv("RAY_IMAGE", constants.CUDA_RUNTIME_IMAGE)
 
 
 def get_setup_env_variables(**kwargs):
diff --git a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
index c6972565..a5915820 100644
--- a/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
+++ b/tests/test_cluster_yamls/appwrapper/test-case-bad.yaml
@@ -42,7 +42,7 @@ spec:
                   valueFrom:
                     fieldRef:
                       fieldPath: status.podIP
-                image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
+                image: "${image}"
                 imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
@@ -89,7 +89,7 @@ spec:
                   valueFrom:
                     fieldRef:
                       fieldPath: status.podIP
-                image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
+                image: "${image}"
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
index 00e8755d..49f2c38c 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-a.yaml
@@ -38,7 +38,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
+              - image: "${image}"
                 imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
@@ -109,7 +109,7 @@ spec:
                 key: value
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
+              - image: "${image}"
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
index be01e68b..aa6fad9c 100644
--- a/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-aw-b.yaml
@@ -38,7 +38,7 @@ spec:
           template:
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
+              - image: "${image}"
                 imagePullPolicy: IfNotPresent
                 lifecycle:
                   preStop:
@@ -109,7 +109,7 @@ spec:
                 key: value
             spec:
               containers:
-              - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
+              - image: "${image}"
                 lifecycle:
                   preStop:
                     exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
index 553d285a..2bb13995 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-a.yaml
@@ -29,7 +29,7 @@ spec:
     template:
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
+        - image: "${image}"
           imagePullPolicy: IfNotPresent
           lifecycle:
             preStop:
@@ -100,7 +100,7 @@ spec:
           key: value
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
+        - image: "${image}"
           lifecycle:
             preStop:
               exec:
diff --git a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
index 1b84ee02..70f1d5bf 100644
--- a/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
+++ b/tests/test_cluster_yamls/support_clusters/test-rc-b.yaml
@@ -29,7 +29,7 @@ spec:
     template:
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
+        - image: "${image}"
           imagePullPolicy: IfNotPresent
           lifecycle:
             preStop:
@@ -100,7 +100,7 @@ spec:
           key: value
       spec:
         containers:
-        - image: quay.io/modh/ray@sha256:a5b7c04a14f180d7ca6d06a5697f6bb684e40a26b95a0c872cac23b552741707
+        - image: "${image}"
           lifecycle:
             preStop:
               exec:

From 89c47c3d85c779bfbd11a2fbd2b4dac7fc5bc928 Mon Sep 17 00:00:00 2001
From: lilylinh 
Date: Mon, 14 Jul 2025 13:57:09 +0100
Subject: [PATCH 242/254] replace 'cluster.up' by 'cluster.apply' in
 demo-notebooks

---
 demo-notebooks/additional-demos/hf_interactive.ipynb            | 2 +-
 demo-notebooks/additional-demos/local_interactive.ipynb         | 2 +-
 demo-notebooks/additional-demos/ray_job_client.ipynb            | 2 +-
 demo-notebooks/guided-demos/0_basic_ray.ipynb                   | 2 +-
 demo-notebooks/guided-demos/1_cluster_job_client.ipynb          | 2 +-
 demo-notebooks/guided-demos/2_basic_interactive.ipynb           | 2 +-
 .../guided-demos/notebook-ex-outputs/0_basic_ray.ipynb          | 2 +-
 .../guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb | 2 +-
 .../guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb  | 2 +-
 demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb       | 2 +-
 .../guided-demos/preview_nbs/1_cluster_job_client.ipynb         | 2 +-
 .../guided-demos/preview_nbs/2_basic_interactive.ipynb          | 2 +-
 12 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb
index fcb45bf6..2e8e36fb 100644
--- a/demo-notebooks/additional-demos/hf_interactive.ipynb
+++ b/demo-notebooks/additional-demos/hf_interactive.ipynb
@@ -114,7 +114,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "cluster.up()"
+    "cluster.apply()"
    ]
   },
   {
diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb
index a46e5d9f..fb1cb3ea 100644
--- a/demo-notebooks/additional-demos/local_interactive.ipynb
+++ b/demo-notebooks/additional-demos/local_interactive.ipynb
@@ -79,7 +79,7 @@
    },
    "outputs": [],
    "source": [
-    "cluster.up()"
+    "cluster.apply()"
    ]
   },
   {
diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb
index 99187b4a..39cf2a16 100644
--- a/demo-notebooks/additional-demos/ray_job_client.ipynb
+++ b/demo-notebooks/additional-demos/ray_job_client.ipynb
@@ -78,7 +78,7 @@
    "outputs": [],
    "source": [
     "# Bring up the cluster\n",
-    "cluster.up()\n",
+    "cluster.apply()\n",
     "cluster.wait_ready()"
    ]
   },
diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb
index 9a2ed8ca..413d31b4 100644
--- a/demo-notebooks/guided-demos/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb
@@ -98,7 +98,7 @@
    "outputs": [],
    "source": [
     "# Bring up the cluster\n",
-    "cluster.up()"
+    "cluster.apply()"
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
index 725866d7..5a825b55 100644
--- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
@@ -89,7 +89,7 @@
    "outputs": [],
    "source": [
     "# Bring up the cluster\n",
-    "cluster.up()\n",
+    "cluster.apply()\n",
     "cluster.wait_ready()"
    ]
   },
diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
index 890bdb47..80f45f13 100644
--- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
@@ -96,7 +96,7 @@
    "outputs": [],
    "source": [
     "# Bring up the cluster\n",
-    "cluster.up()\n",
+    "cluster.apply()\n",
     "cluster.wait_ready()"
    ]
   },
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
index 119d9ce6..e5972711 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
@@ -94,7 +94,7 @@
    "outputs": [],
    "source": [
     "# Bring up the cluster\n",
-    "cluster.up()"
+    "cluster.apply()"
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
index 6f5850ac..9b34da9b 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
@@ -78,7 +78,7 @@
    "outputs": [],
    "source": [
     "# Bring up the cluster\n",
-    "cluster.up()\n",
+    "cluster.apply()\n",
     "cluster.wait_ready()"
    ]
   },
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
index 58a6c9e2..db1560ff 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
@@ -84,7 +84,7 @@
    "outputs": [],
    "source": [
     "# Bring up the cluster\n",
-    "cluster.up()\n",
+    "cluster.apply()\n",
     "cluster.wait_ready()"
    ]
   },
diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
index 119d9ce6..e5972711 100644
--- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
@@ -94,7 +94,7 @@
    "outputs": [],
    "source": [
     "# Bring up the cluster\n",
-    "cluster.up()"
+    "cluster.apply()"
    ]
   },
   {
diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
index db574ceb..6b913142 100644
--- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
@@ -78,7 +78,7 @@
    "outputs": [],
    "source": [
     "# Bring up the cluster\n",
-    "cluster.up()\n",
+    "cluster.apply()\n",
     "cluster.wait_ready()"
    ]
   },
diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
index 8f70f6c2..a7ebae08 100644
--- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
@@ -84,7 +84,7 @@
    "outputs": [],
    "source": [
     "# Bring up the cluster\n",
-    "cluster.up()\n",
+    "cluster.apply()\n",
     "cluster.wait_ready()"
    ]
   },

From 0ac44ed2e8988eadb63d74a7613f6fddfb7c99d0 Mon Sep 17 00:00:00 2001
From: lilylinh 
Date: Fri, 25 Jul 2025 11:55:46 +0100
Subject: [PATCH 243/254] Change widget fromt cluster.up() to cluster.apply()

---
 .../common/widgets/test_widgets.py            | 20 ++++++++++---------
 src/codeflare_sdk/common/widgets/widgets.py   | 16 +++++++--------
 src/codeflare_sdk/ray/cluster/cluster.py      |  4 ++--
 .../tests/widget_notebook_example.test.ts     | 18 ++++++++---------
 4 files changed, 30 insertions(+), 28 deletions(-)

diff --git a/src/codeflare_sdk/common/widgets/test_widgets.py b/src/codeflare_sdk/common/widgets/test_widgets.py
index a7d3de92..f88d8eb2 100644
--- a/src/codeflare_sdk/common/widgets/test_widgets.py
+++ b/src/codeflare_sdk/common/widgets/test_widgets.py
@@ -28,7 +28,7 @@
 @patch.dict(
     "os.environ", {"JPY_SESSION_NAME": "example-test"}
 )  # Mock Jupyter environment variable
-def test_cluster_up_down_buttons(mocker):
+def test_cluster_apply_down_buttons(mocker):
     mocker.patch("kubernetes.client.ApisApi.get_api_versions")
     mocker.patch(
         "kubernetes.client.CustomObjectsApi.get_cluster_custom_object",
@@ -45,36 +45,38 @@ def test_cluster_up_down_buttons(mocker):
     ) as MockCheckbox, patch("ipywidgets.Output"), patch("ipywidgets.HBox"), patch(
         "ipywidgets.VBox"
     ), patch.object(
-        cluster, "up"
-    ) as mock_up, patch.object(
+        cluster, "apply"
+    ) as mock_apply, patch.object(
         cluster, "down"
     ) as mock_down, patch.object(
         cluster, "wait_ready"
     ) as mock_wait_ready:
         # Create mock button & CheckBox instances
-        mock_up_button = MagicMock()
+        mock_apply_button = MagicMock()
         mock_down_button = MagicMock()
         mock_wait_ready_check_box = MagicMock()
 
         # Ensure the mock Button class returns the mock button instances in sequence
         MockCheckbox.side_effect = [mock_wait_ready_check_box]
-        MockButton.side_effect = [mock_up_button, mock_down_button]
+        MockButton.side_effect = [mock_apply_button, mock_down_button]
 
         # Call the method under test
-        cf_widgets.cluster_up_down_buttons(cluster)
+        cf_widgets.cluster_apply_down_buttons(cluster)
 
         # Simulate checkbox being checked or unchecked
         mock_wait_ready_check_box.value = True  # Simulate checkbox being checked
 
         # Simulate the button clicks by calling the mock on_click handlers
-        mock_up_button.on_click.call_args[0][0](None)  # Simulate clicking "Cluster Up"
+        mock_apply_button.on_click.call_args[0][0](
+            None
+        )  # Simulate clicking "Cluster Apply"
         mock_down_button.on_click.call_args[0][0](
             None
         )  # Simulate clicking "Cluster Down"
 
-        # Check if the `up` and `down` methods were called
+        # Check if the `apply` and `down` methods were called
         mock_wait_ready.assert_called_once()
-        mock_up.assert_called_once()
+        mock_apply.assert_called_once()
         mock_down.assert_called_once()
 
 
diff --git a/src/codeflare_sdk/common/widgets/widgets.py b/src/codeflare_sdk/common/widgets/widgets.py
index 6f3283ce..36d896e8 100644
--- a/src/codeflare_sdk/common/widgets/widgets.py
+++ b/src/codeflare_sdk/common/widgets/widgets.py
@@ -271,19 +271,19 @@ def display_widgets(self):
         )
 
 
-def cluster_up_down_buttons(
+def cluster_apply_down_buttons(
     cluster: "codeflare_sdk.ray.cluster.cluster.Cluster",
 ) -> widgets.Button:
     """
-    The cluster_up_down_buttons function returns two button widgets for a create and delete button.
+    The cluster_apply_down_buttons function returns two button widgets for a create and delete button.
     The function uses the appwrapper bool to distinguish between resource type for the tool tip.
     """
     resource = "Ray Cluster"
     if cluster.config.appwrapper:
         resource = "AppWrapper"
 
-    up_button = widgets.Button(
-        description="Cluster Up",
+    apply_button = widgets.Button(
+        description="Cluster Apply",
         tooltip=f"Create the {resource}",
         icon="play",
     )
@@ -298,13 +298,13 @@ def cluster_up_down_buttons(
     output = widgets.Output()
 
     # Display the buttons in an HBox wrapped in a VBox which includes the wait_ready Checkbox
-    button_display = widgets.HBox([up_button, delete_button])
+    button_display = widgets.HBox([apply_button, delete_button])
     display(widgets.VBox([button_display, wait_ready_check]), output)
 
-    def on_up_button_clicked(b):  # Handle the up button click event
+    def on_apply_button_clicked(b):  # Handle the apply button click event
         with output:
             output.clear_output()
-            cluster.up()
+            cluster.apply()
 
             # If the wait_ready Checkbox is clicked(value == True) trigger the wait_ready function
             if wait_ready_check.value:
@@ -315,7 +315,7 @@ def on_down_button_clicked(b):  # Handle the down button click event
             output.clear_output()
             cluster.down()
 
-    up_button.on_click(on_up_button_clicked)
+    apply_button.on_click(on_apply_button_clicked)
     delete_button.on_click(on_down_button_clicked)
 
 
diff --git a/src/codeflare_sdk/ray/cluster/cluster.py b/src/codeflare_sdk/ray/cluster/cluster.py
index 86ed7c4d..4eaa2000 100644
--- a/src/codeflare_sdk/ray/cluster/cluster.py
+++ b/src/codeflare_sdk/ray/cluster/cluster.py
@@ -43,7 +43,7 @@
     AppWrapperStatus,
 )
 from ...common.widgets.widgets import (
-    cluster_up_down_buttons,
+    cluster_apply_down_buttons,
     is_notebook,
 )
 from kubernetes import client
@@ -88,7 +88,7 @@ def __init__(self, config: ClusterConfiguration):
             self.resource_yaml = self.create_resource()
 
         if is_notebook():
-            cluster_up_down_buttons(self)
+            cluster_apply_down_buttons(self)
 
     def get_dynamic_client(self):  # pragma: no cover
         return DynamicClient(get_api_client())
diff --git a/ui-tests/tests/widget_notebook_example.test.ts b/ui-tests/tests/widget_notebook_example.test.ts
index 3360ba83..7707f70b 100644
--- a/ui-tests/tests/widget_notebook_example.test.ts
+++ b/ui-tests/tests/widget_notebook_example.test.ts
@@ -67,25 +67,25 @@ test.describe("Visual Regression", () => {
 
     // At this point, all cells have been ran, and their screenshots have been captured.
     // We now interact with the widgets in the notebook.
-    const upDownWidgetCellIndex = 3; // 4 on OpenShift
+    const applyDownWidgetCellIndex = 3; // 4 on OpenShift
 
-    await waitForWidget(page, upDownWidgetCellIndex, 'input[type="checkbox"]');
-    await waitForWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Down")');
-    await waitForWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Up")');
+    await waitForWidget(page, applyDownWidgetCellIndex, 'input[type="checkbox"]');
+    await waitForWidget(page, applyDownWidgetCellIndex, 'button:has-text("Cluster Down")');
+    await waitForWidget(page, applyDownWidgetCellIndex, 'button:has-text("Cluster Apply")');
 
-    await interactWithWidget(page, upDownWidgetCellIndex, 'input[type="checkbox"]', async (checkbox) => {
+    await interactWithWidget(page, applyDownWidgetCellIndex, 'input[type="checkbox"]', async (checkbox) => {
       await checkbox.click();
       const isChecked = await checkbox.isChecked();
       expect(isChecked).toBe(true);
     });
 
-    await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Down")', async (button) => {
+    await interactWithWidget(page, applyDownWidgetCellIndex, 'button:has-text("Cluster Down")', async (button) => {
       await button.click();
       const clusterDownMessage = await page.waitForSelector('text=The requested resource could not be located.', { timeout: 5000 });
       expect(await clusterDownMessage.innerText()).toContain('The requested resource could not be located.');
     });
 
-    await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Up")', async (button) => {
+    await interactWithWidget(page, applyDownWidgetCellIndex, 'button:has-text("Cluster Apply")', async (button) => {
       await button.click();
 
       const successMessage = await page.waitForSelector('text=Ray Cluster: \'widgettest\' has successfully been created', { timeout: 10000 });
@@ -103,7 +103,7 @@ test.describe("Visual Regression", () => {
 
     await runPreviousCell(page, cellCount, '(, True)');
 
-    await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Down")', async (button) => {
+    await interactWithWidget(page, applyDownWidgetCellIndex, 'button:has-text("Cluster Down")', async (button) => {
       await button.click();
       const clusterDownMessage = await page.waitForSelector('text=Ray Cluster: \'widgettest\' has successfully been deleted', { timeout: 5000 });
       expect(clusterDownMessage).not.toBeNull();
@@ -116,7 +116,7 @@ test.describe("Visual Regression", () => {
     await cell.fill('"widgettest-1"');
     await page.notebook.runCell(cellCount - 3, true); // Run ClusterConfiguration cell
 
-    await interactWithWidget(page, upDownWidgetCellIndex, 'button:has-text("Cluster Up")', async (button) => {
+    await interactWithWidget(page, applyDownWidgetCellIndex, 'button:has-text("Cluster Apply")', async (button) => {
       await button.click();
       const successMessage = await page.waitForSelector('text=Ray Cluster: \'widgettest-1\' has successfully been created', { timeout: 10000 });
       expect(successMessage).not.toBeNull();

From 326434ddf1e484117384fb51561cdfbb724dabc4 Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Wed, 30 Jul 2025 07:55:30 +0100
Subject: [PATCH 244/254] enable CI on ray-jobs-feature branch

Signed-off-by: Pat O'Connor 
---
 .github/workflows/coverage-badge.yaml | 2 +-
 .github/workflows/e2e_tests.yaml      | 1 +
 .github/workflows/unit-tests.yml      | 4 ++--
 3 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/.github/workflows/coverage-badge.yaml b/.github/workflows/coverage-badge.yaml
index 0d2d41f6..2c3b40fa 100644
--- a/.github/workflows/coverage-badge.yaml
+++ b/.github/workflows/coverage-badge.yaml
@@ -4,7 +4,7 @@ name: Coverage Badge
 
 on:
   push:
-    branches: [ main ]
+    branches: [ main, ray-jobs-feature ]
 
 jobs:
   report:
diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index fc80af56..d66e4b34 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -6,6 +6,7 @@ on:
     branches:
       - main
       - 'release-*'
+      - ray-jobs-feature
     paths-ignore:
       - 'docs/**'
       - '**.adoc'
diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml
index 6697fc80..e38e6973 100755
--- a/.github/workflows/unit-tests.yml
+++ b/.github/workflows/unit-tests.yml
@@ -2,9 +2,9 @@ name: Python Tests
 
 on:
   pull_request:
-    branches: [ main ]
+    branches: [ main, ray-jobs-feature ]
   push:
-    branches: [ main ]
+    branches: [ main, ray-jobs-feature ]
 
 jobs:
   unit-tests:

From d4678105456cb42ae9153213f54afd8d5dee4945 Mon Sep 17 00:00:00 2001
From: Bryan Keane 
Date: Wed, 6 Aug 2025 15:38:55 +0100
Subject: [PATCH 245/254] feat: add remote offline batch inference with vllm
 example (#848)

* no-jira: add remote offline batch inference with vllm example

* no-jira: remove notebook output

* feat: add temp workdir for gcs workaround

* feat: add config details to batch inference demo

* chore: ignore jupyter notebooks from codecov
---
 codecov.yml                                   |   3 +
 .../batch-inference/remote_offline_bi.ipynb   | 214 ++++++++++++++++++
 .../batch-inference/requirements.txt          |   4 +
 .../batch-inference/simple_batch_inf.py       |  62 +++++
 4 files changed, 283 insertions(+)
 create mode 100644 codecov.yml
 create mode 100644 demo-notebooks/additional-demos/batch-inference/remote_offline_bi.ipynb
 create mode 100644 demo-notebooks/additional-demos/batch-inference/requirements.txt
 create mode 100644 demo-notebooks/additional-demos/batch-inference/simple_batch_inf.py

diff --git a/codecov.yml b/codecov.yml
new file mode 100644
index 00000000..550965e6
--- /dev/null
+++ b/codecov.yml
@@ -0,0 +1,3 @@
+ignore:
+  - "**/*.ipynb"
+  - "demo-notebooks/**"
diff --git a/demo-notebooks/additional-demos/batch-inference/remote_offline_bi.ipynb b/demo-notebooks/additional-demos/batch-inference/remote_offline_bi.ipynb
new file mode 100644
index 00000000..68b514c4
--- /dev/null
+++ b/demo-notebooks/additional-demos/batch-inference/remote_offline_bi.ipynb
@@ -0,0 +1,214 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Remote Offline Batch Inference with Ray Data & vLLM Example\n",
+    "\n",
+    "This notebook presumes:\n",
+    "- You have a Ray Cluster URL given to you to run workloads on\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from codeflare_sdk import RayJobClient\n",
+    "\n",
+    "# Setup Authentication Configuration\n",
+    "auth_token = \"XXXX\"\n",
+    "header = {\"Authorization\": f\"Bearer {auth_token}\"}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Gather the dashboard URL (provided by the creator of the RayCluster)\n",
+    "ray_dashboard = \"XXXX\"  # Replace with the Ray dashboard URL\n",
+    "\n",
+    "# Initialize the RayJobClient\n",
+    "client = RayJobClient(address=ray_dashboard, headers=header, verify=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Simple Example Explanation\n",
+    "\n",
+    "With the RayJobClient instantiated, lets run some batch inference. The following code is stored in `simple_batch_inf.py`, and is used as the entrypoint for the RayJob.\n",
+    "\n",
+    "What this processor configuration does:\n",
+    "- Set up a vLLM engine with your model\n",
+    "- Configure some settings for GPU processing\n",
+    "- Defines batch processing parameters (8 requests per batch, 2 GPU workers)\n",
+    "\n",
+    "#### Model Source Configuration\n",
+    "\n",
+    "The `model_source` parameter supports several loading methods:\n",
+    "\n",
+    "* **Hugging Face Hub** (default): Use repository ID `model_source=\"meta-llama/Llama-2-7b-chat-hf\"`\n",
+    "* **Local Directory**: Use file path `model_source=\"/path/to/my/local/model\"`\n",
+    "* **Other Sources**: ModelScope via environment variables `VLLM_MODELSCOPE_DOWNLOADS_DIR`\n",
+    "\n",
+    "For complete model support and options, see the [official vLLM documentation](https://docs.vllm.ai/en/latest/models/supported_models.html).\n",
+    "\n",
+    "```python\n",
+    "import ray\n",
+    "from ray.data.llm import build_llm_processor, vLLMEngineProcessorConfig\n",
+    "\n",
+    "processor_config = vLLMEngineProcessorConfig(\n",
+    "    model_source=\"replace-me\",\n",
+    "    engine_kwargs=dict(\n",
+    "        enable_lora=False,\n",
+    "        dtype=\"half\",\n",
+    "        max_model_len=1024,\n",
+    "    ),\n",
+    "    # Batch size: Larger batches increase throughput but reduce fault tolerance\n",
+    "    #   - Small batches (4-8): Better for fault tolerance and memory constraints\n",
+    "    #   - Large batches (16-32): Higher throughput, better GPU utilization\n",
+    "    #   - Choose based on your Ray Cluster size and memory availability\n",
+    "    batch_size=8,\n",
+    "    # Concurrency: Number of vLLM engine workers to spawn \n",
+    "    #   - Set to match your total GPU count for maximum utilization\n",
+    "    #   - Each worker gets assigned to a GPU automatically by Ray scheduler\n",
+    "    #   - Can use all GPUs across head and worker nodes\n",
+    "    concurrency=2,\n",
+    ")\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "With the config defined, we can instantiate the processor. This enables batch inference by processing multiple requests through the vLLM engine, with two key steps:\n",
+    "- **Preprocess**: Converts each row into a structured chat format with system instructions and user queries, preparing the input for the LLM\n",
+    "- **Postprocess**: Extracts only the generated text from the model response, cleaning up the output\n",
+    "\n",
+    "The processor defines the pipeline that will be applied to each row in the dataset, enabling efficient batch processing through Ray Data's distributed execution framework.\n",
+    "\n",
+    "```python\n",
+    "processor = build_llm_processor(\n",
+    "    processor_config,\n",
+    "    preprocess=lambda row: dict(\n",
+    "        messages=[\n",
+    "            {\n",
+    "                \"role\": \"system\",\n",
+    "                \"content\": \"You are a calculator. Please only output the answer \"\n",
+    "                \"of the given equation.\",\n",
+    "            },\n",
+    "            {\"role\": \"user\", \"content\": f\"{row['id']} ** 3 = ?\"},\n",
+    "        ],\n",
+    "        sampling_params=dict(\n",
+    "            temperature=0.3,\n",
+    "            max_tokens=20,\n",
+    "            detokenize=False,\n",
+    "        ),\n",
+    "    ),\n",
+    "    postprocess=lambda row: {\n",
+    "        \"resp\": row[\"generated_text\"],\n",
+    "    },\n",
+    ")\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Running the Pipeline\n",
+    "Now we can run the batch inference pipeline on our data, it will:\n",
+    "- In the background, the processor will download the model into memory where vLLM serves it locally (on Ray Cluster) for use in inference\n",
+    "- Generate a sample Ray Dataset with 32 rows (0-31) to process\n",
+    "- Run the LLM processor on the dataset, triggering the preprocessing, inference, and postprocessing steps\n",
+    "- Execute the lazy pipeline and loads results into memory\n",
+    "- Iterate through all outputs and print each response \n",
+    "\n",
+    "```python\n",
+    "ds = ray.data.range(30)\n",
+    "ds = processor(ds)\n",
+    "ds = ds.materialize()\n",
+    "\n",
+    "for out in ds.take_all():\n",
+    "    print(out)\n",
+    "    print(\"==========\")\n",
+    "```\n",
+    "\n",
+    "### Job Submission\n",
+    "\n",
+    "Now we can submit this job against the Ray Cluster using the `RayJobClient` from earlier "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tempfile\n",
+    "import shutil\n",
+    "\n",
+    "# Create a clean directory with ONLY your script\n",
+    "temp_dir = tempfile.mkdtemp()\n",
+    "shutil.copy(\"simple_batch_inf.py\", temp_dir)\n",
+    "\n",
+    "entrypoint_command = \"python simple_batch_inf.py\"\n",
+    "\n",
+    "submission_id = client.submit_job(\n",
+    "    entrypoint=entrypoint_command,\n",
+    "    runtime_env={\"working_dir\": temp_dir, \"pip\": \"requirements.txt\"},\n",
+    ")\n",
+    "\n",
+    "print(submission_id + \" successfully submitted\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get the job's status\n",
+    "client.get_job_status(submission_id)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Get the job's logs\n",
+    "client.get_job_logs(submission_id)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/demo-notebooks/additional-demos/batch-inference/requirements.txt b/demo-notebooks/additional-demos/batch-inference/requirements.txt
new file mode 100644
index 00000000..d9e8b73b
--- /dev/null
+++ b/demo-notebooks/additional-demos/batch-inference/requirements.txt
@@ -0,0 +1,4 @@
+vllm
+transformers
+triton>=2.0.0
+torch>=2.0.0
diff --git a/demo-notebooks/additional-demos/batch-inference/simple_batch_inf.py b/demo-notebooks/additional-demos/batch-inference/simple_batch_inf.py
new file mode 100644
index 00000000..c86ed15b
--- /dev/null
+++ b/demo-notebooks/additional-demos/batch-inference/simple_batch_inf.py
@@ -0,0 +1,62 @@
+import ray
+from ray.data.llm import build_llm_processor, vLLMEngineProcessorConfig
+
+
+# 1. Construct a vLLM processor config.
+processor_config = vLLMEngineProcessorConfig(
+    # The base model.
+    model_source="unsloth/Llama-3.2-1B-Instruct",
+    # vLLM engine config.
+    engine_kwargs=dict(
+        enable_lora=False,
+        # # Older GPUs (e.g. T4) don't support bfloat16. You should remove
+        # # this line if you're using later GPUs.
+        dtype="half",
+        # Reduce the model length to fit small GPUs. You should remove
+        # this line if you're using large GPUs.
+        max_model_len=1024,
+    ),
+    # The batch size used in Ray Data.
+    batch_size=8,
+    # Use one GPU in this example.
+    concurrency=1,
+    # If you save the LoRA adapter in S3, you can set the following path.
+    # dynamic_lora_loading_path="s3://your-lora-bucket/",
+)
+
+# 2. Construct a processor using the processor config.
+processor = build_llm_processor(
+    processor_config,
+    preprocess=lambda row: dict(
+        # Remove the LoRA model specification
+        messages=[
+            {
+                "role": "system",
+                "content": "You are a calculator. Please only output the answer "
+                "of the given equation.",
+            },
+            {"role": "user", "content": f"{row['id']} ** 3 = ?"},
+        ],
+        sampling_params=dict(
+            temperature=0.3,
+            max_tokens=20,
+            detokenize=False,
+        ),
+    ),
+    postprocess=lambda row: {
+        "resp": row["generated_text"],
+    },
+)
+
+# 3. Synthesize a dataset with 32 rows.
+ds = ray.data.range(32)
+# 4. Apply the processor to the dataset. Note that this line won't kick off
+# anything because processor is execution lazily.
+ds = processor(ds)
+# Materialization kicks off the pipeline execution.
+ds = ds.materialize()
+
+# 5. Print all outputs.
+for out in ds.take_all():
+    print(out)
+    print("==========")

From 4531e55bec3a4325895180c3886c11ff271484d3 Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Thu, 14 Aug 2025 11:56:28 +0100
Subject: [PATCH 246/254] fix(RHOAIENG-31076): Added project and updated
 version in .toml

Signed-off-by: Pat O'Connor 
---
 pyproject.toml | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 8615f894..5caafcb6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,10 @@
+[project]
+name = "codeflare-sdk"
+version = "0.30.0"
+
 [tool.poetry]
 name = "codeflare-sdk"
-version = "0.0.0-dev"
+version = "0.30.0"
 description = "Python SDK for codeflare client"
 
 license = "Apache-2.0"
@@ -60,3 +64,7 @@ markers = [
 addopts = "--timeout=900"
 testpaths = ["src/codeflare_sdk"]
 collect_ignore = ["src/codeflare_sdk/common/utils/unit_test_support.py"]
+
+[build-system]
+requires = ["poetry-core>=1.6.0"]
+build-backend = "poetry.core.masonry.api"

From 74f234c52e6cecb0958a61e4d69c2fdc2d45a501 Mon Sep 17 00:00:00 2001
From: lilylinh 
Date: Mon, 25 Aug 2025 15:18:32 +0100
Subject: [PATCH 247/254] task(RHOAIENG-30478)Remove Deprecated Params from
 CodeFlare SDK (head_cpus & head_memory)

---
 .../user-docs/cluster-configuration.rst       | 17 -------------
 src/codeflare_sdk/ray/cluster/config.py       | 24 -------------------
 src/codeflare_sdk/ray/cluster/test_config.py  | 17 -------------
 3 files changed, 58 deletions(-)

diff --git a/docs/sphinx/user-docs/cluster-configuration.rst b/docs/sphinx/user-docs/cluster-configuration.rst
index c810148b..f8212823 100644
--- a/docs/sphinx/user-docs/cluster-configuration.rst
+++ b/docs/sphinx/user-docs/cluster-configuration.rst
@@ -155,20 +155,3 @@ Example configuration:
 
 .. note::
    You need to have a Redis instance deployed in your Kubernetes cluster before using this feature.
-
-Deprecating Parameters
-----------------------
-
-The following parameters of the ``ClusterConfiguration`` are being
-deprecated.
-
-.. list-table::
-   :header-rows: 1
-   :widths: auto
-
-   * - Deprecated Parameter
-     - Replaced By
-   * - ``head_cpus``
-     - ``head_cpu_requests``, ``head_cpu_limits``
-   * - ``head_memory``
-     - ``head_memory_requests``, ``head_memory_limits``
diff --git a/src/codeflare_sdk/ray/cluster/config.py b/src/codeflare_sdk/ray/cluster/config.py
index ec89924a..dc61de2a 100644
--- a/src/codeflare_sdk/ray/cluster/config.py
+++ b/src/codeflare_sdk/ray/cluster/config.py
@@ -50,10 +50,6 @@ class ClusterConfiguration:
             The name of the cluster.
         namespace:
             The namespace in which the cluster should be created.
-        head_cpus:
-            The number of CPUs to allocate to the head node.
-        head_memory:
-            The amount of memory to allocate to the head node.
         head_extended_resource_requests:
             A dictionary of extended resource requests for the head node. ex: {"nvidia.com/gpu": 1}
         head_tolerations:
@@ -104,10 +100,8 @@ class ClusterConfiguration:
     namespace: Optional[str] = None
     head_cpu_requests: Union[int, str] = 2
     head_cpu_limits: Union[int, str] = 2
-    head_cpus: Optional[Union[int, str]] = None  # Deprecating
     head_memory_requests: Union[int, str] = 8
     head_memory_limits: Union[int, str] = 8
-    head_memory: Optional[Union[int, str]] = None  # Deprecating
     head_extended_resource_requests: Dict[str, Union[str, int]] = field(
         default_factory=dict
     )
@@ -173,10 +167,8 @@ def __post_init__(self):
                 )
 
         self._validate_types()
-        self._memory_to_resource()
         self._memory_to_string()
         self._str_mem_no_unit_add_GB()
-        self._cpu_to_resource()
         self._combine_extended_resource_mapping()
         self._validate_extended_resource_requests(self.head_extended_resource_requests)
         self._validate_extended_resource_requests(
@@ -209,8 +201,6 @@ def _validate_extended_resource_requests(self, extended_resources: Dict[str, int
                 )
 
     def _str_mem_no_unit_add_GB(self):
-        if isinstance(self.head_memory, str) and self.head_memory.isdecimal():
-            self.head_memory = f"{self.head_memory}G"
         if (
             isinstance(self.worker_memory_requests, str)
             and self.worker_memory_requests.isdecimal()
@@ -232,20 +222,6 @@ def _memory_to_string(self):
         if isinstance(self.worker_memory_limits, int):
             self.worker_memory_limits = f"{self.worker_memory_limits}G"
 
-    def _cpu_to_resource(self):
-        if self.head_cpus:
-            warnings.warn(
-                "head_cpus is being deprecated, use head_cpu_requests and head_cpu_limits"
-            )
-            self.head_cpu_requests = self.head_cpu_limits = self.head_cpus
-
-    def _memory_to_resource(self):
-        if self.head_memory:
-            warnings.warn(
-                "head_memory is being deprecated, use head_memory_requests and head_memory_limits"
-            )
-            self.head_memory_requests = self.head_memory_limits = self.head_memory
-
     def _validate_types(self):
         """Validate the types of all fields in the ClusterConfiguration dataclass."""
         errors = []
diff --git a/src/codeflare_sdk/ray/cluster/test_config.py b/src/codeflare_sdk/ray/cluster/test_config.py
index 6f002df1..e405bc5b 100644
--- a/src/codeflare_sdk/ray/cluster/test_config.py
+++ b/src/codeflare_sdk/ray/cluster/test_config.py
@@ -135,23 +135,6 @@ def test_config_creation_wrong_type():
     assert len(str(error_info.value).splitlines()) == 4
 
 
-@pytest.mark.filterwarnings("ignore::UserWarning")
-def test_cluster_config_deprecation_conversion(mocker):
-    config = ClusterConfiguration(
-        name="test",
-        head_cpus=3,
-        head_memory=16,
-    )
-    assert config.head_cpu_requests == 3
-    assert config.head_cpu_limits == 3
-    assert config.head_memory_requests == "16G"
-    assert config.head_memory_limits == "16G"
-    assert config.worker_memory_requests == "2G"
-    assert config.worker_memory_limits == "2G"
-    assert config.worker_cpu_requests == 1
-    assert config.worker_cpu_limits == 1
-
-
 def test_gcs_fault_tolerance_config_validation():
     config = ClusterConfiguration(
         name="test",

From 573a431b5426140abe25e2e389150e559ff1422f Mon Sep 17 00:00:00 2001
From: Pawel Paszki 
Date: Tue, 2 Sep 2025 16:18:17 +0100
Subject: [PATCH 248/254] test: change deprecated cluster up to apply and add
 more resources to ray clusters

---
 tests/e2e/heterogeneous_clusters_kind_test.py  |  2 +-
 tests/e2e/heterogeneous_clusters_oauth_test.py |  8 ++++----
 tests/e2e/local_interactive_sdk_kind_test.py   |  2 +-
 tests/e2e/local_interactive_sdk_oauth_test.py  |  6 +++++-
 tests/e2e/mnist_raycluster_sdk_aw_kind_test.py |  2 +-
 tests/e2e/mnist_raycluster_sdk_kind_test.py    |  2 +-
 tests/e2e/mnist_raycluster_sdk_oauth_test.py   | 10 +++++-----
 tests/e2e/start_ray_cluster.py                 |  2 +-
 8 files changed, 19 insertions(+), 15 deletions(-)

diff --git a/tests/e2e/heterogeneous_clusters_kind_test.py b/tests/e2e/heterogeneous_clusters_kind_test.py
index 052fa7b8..fb650176 100644
--- a/tests/e2e/heterogeneous_clusters_kind_test.py
+++ b/tests/e2e/heterogeneous_clusters_kind_test.py
@@ -63,7 +63,7 @@ def run_heterogeneous_clusters(
                     local_queue=queue_name,
                 )
             )
-            cluster.up()
+            cluster.apply()
             sleep(5)
             node_name = get_pod_node(self, self.namespace, cluster_name)
             print(f"Cluster {cluster_name}-{flavor} is running on node: {node_name}")
diff --git a/tests/e2e/heterogeneous_clusters_oauth_test.py b/tests/e2e/heterogeneous_clusters_oauth_test.py
index d57cff48..0fbe4df3 100644
--- a/tests/e2e/heterogeneous_clusters_oauth_test.py
+++ b/tests/e2e/heterogeneous_clusters_oauth_test.py
@@ -55,9 +55,9 @@ def run_heterogeneous_clusters(
                     namespace=self.namespace,
                     name=cluster_name,
                     num_workers=1,
-                    head_cpu_requests="500m",
-                    head_cpu_limits="500m",
-                    worker_cpu_requests="500m",
+                    head_cpu_requests=1,
+                    head_cpu_limits=1,
+                    worker_cpu_requests=1,
                     worker_cpu_limits=1,
                     worker_memory_requests=1,
                     worker_memory_limits=4,
@@ -66,7 +66,7 @@ def run_heterogeneous_clusters(
                     local_queue=queue_name,
                 )
             )
-            cluster.up()
+            cluster.apply()
             sleep(5)
             node_name = get_pod_node(self, self.namespace, cluster_name)
             print(f"Cluster {cluster_name}-{flavor} is running on node: {node_name}")
diff --git a/tests/e2e/local_interactive_sdk_kind_test.py b/tests/e2e/local_interactive_sdk_kind_test.py
index 6f025d22..0f5fd93f 100644
--- a/tests/e2e/local_interactive_sdk_kind_test.py
+++ b/tests/e2e/local_interactive_sdk_kind_test.py
@@ -65,7 +65,7 @@ def run_local_interactives(
             )
         )
 
-        cluster.up()
+        cluster.apply()
 
         cluster.wait_ready()
         cluster.status()
diff --git a/tests/e2e/local_interactive_sdk_oauth_test.py b/tests/e2e/local_interactive_sdk_oauth_test.py
index b5229deb..8be0bf9c 100644
--- a/tests/e2e/local_interactive_sdk_oauth_test.py
+++ b/tests/e2e/local_interactive_sdk_oauth_test.py
@@ -44,6 +44,10 @@ def run_local_interactives(self):
                 namespace=self.namespace,
                 name=cluster_name,
                 num_workers=1,
+                head_memory_requests=6,
+                head_memory_limits=8,
+                head_cpu_requests=1,
+                head_cpu_limits=1,
                 worker_cpu_requests=1,
                 worker_cpu_limits=1,
                 worker_memory_requests=1,
@@ -52,7 +56,7 @@ def run_local_interactives(self):
                 verify_tls=False,
             )
         )
-        cluster.up()
+        cluster.apply()
         cluster.wait_ready()
 
         generate_cert.generate_tls_cert(cluster_name, self.namespace)
diff --git a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
index 49f0888d..5d06214c 100644
--- a/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
+++ b/tests/e2e/mnist_raycluster_sdk_aw_kind_test.py
@@ -55,7 +55,7 @@ def run_mnist_raycluster_sdk_kind(
             )
         )
 
-        cluster.up()
+        cluster.apply()
 
         cluster.status()
 
diff --git a/tests/e2e/mnist_raycluster_sdk_kind_test.py b/tests/e2e/mnist_raycluster_sdk_kind_test.py
index 42d0c46b..4ba728cf 100644
--- a/tests/e2e/mnist_raycluster_sdk_kind_test.py
+++ b/tests/e2e/mnist_raycluster_sdk_kind_test.py
@@ -54,7 +54,7 @@ def run_mnist_raycluster_sdk_kind(
             )
         )
 
-        cluster.up()
+        cluster.apply()
 
         cluster.status()
 
diff --git a/tests/e2e/mnist_raycluster_sdk_oauth_test.py b/tests/e2e/mnist_raycluster_sdk_oauth_test.py
index 212c9784..18447d74 100644
--- a/tests/e2e/mnist_raycluster_sdk_oauth_test.py
+++ b/tests/e2e/mnist_raycluster_sdk_oauth_test.py
@@ -46,19 +46,19 @@ def run_mnist_raycluster_sdk_oauth(self):
                 name="mnist",
                 namespace=self.namespace,
                 num_workers=1,
-                head_cpu_requests="500m",
-                head_cpu_limits="500m",
+                head_memory_requests=6,
+                head_memory_limits=8,
                 worker_cpu_requests=1,
                 worker_cpu_limits=1,
-                worker_memory_requests=1,
-                worker_memory_limits=4,
+                worker_memory_requests=6,
+                worker_memory_limits=8,
                 image=ray_image,
                 write_to_file=True,
                 verify_tls=False,
             )
         )
 
-        cluster.up()
+        cluster.apply()
 
         cluster.status()
 
diff --git a/tests/e2e/start_ray_cluster.py b/tests/e2e/start_ray_cluster.py
index 8aac19f0..bc7f531f 100644
--- a/tests/e2e/start_ray_cluster.py
+++ b/tests/e2e/start_ray_cluster.py
@@ -26,7 +26,7 @@
     )
 )
 
-cluster.up()
+cluster.apply()
 
 cluster.status()
 

From 2bb23769424e8b0cd8246bf48af3852f35a092e0 Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Mon, 1 Sep 2025 12:29:03 +0100
Subject: [PATCH 249/254] task(RHOAIENG-33045): Update Runtime image SHAs for
 PY312

Signed-off-by: Pat O'Connor 
---
 .github/workflows/e2e_tests.yaml              |  2 +-
 .../additional-demos/hf_interactive.ipynb     |  3 +-
 .../additional-demos/local_interactive.ipynb  |  1 +
 .../additional-demos/ray_job_client.ipynb     |  1 +
 demo-notebooks/guided-demos/0_basic_ray.ipynb |  1 +
 .../guided-demos/1_cluster_job_client.ipynb   |  1 +
 .../guided-demos/2_basic_interactive.ipynb    |  1 +
 .../guided-demos/3_widget_example.ipynb       |  1 +
 .../notebook-ex-outputs/0_basic_ray.ipynb     |  1 +
 .../1_cluster_job_client.ipynb                |  1 +
 .../2_basic_interactive.ipynb                 |  1 +
 .../preview_nbs/0_basic_ray.ipynb             |  1 +
 .../preview_nbs/1_cluster_job_client.ipynb    |  1 +
 .../preview_nbs/2_basic_interactive.ipynb     |  1 +
 src/codeflare_sdk/common/utils/constants.py   | 15 +++++-
 .../common/utils/unit_test_support.py         |  7 +--
 src/codeflare_sdk/common/utils/utils.py       | 46 +++++++++++++++++++
 .../ray/cluster/build_ray_cluster.py          | 17 +++----
 .../ray/cluster/test_build_ray_cluster.py     |  3 +-
 tests/e2e/local_interactive_sdk_kind_test.py  |  4 +-
 tests/e2e/support.py                          |  6 ++-
 21 files changed, 94 insertions(+), 21 deletions(-)
 create mode 100644 src/codeflare_sdk/common/utils/utils.py

diff --git a/.github/workflows/e2e_tests.yaml b/.github/workflows/e2e_tests.yaml
index d66e4b34..ba59a9e1 100644
--- a/.github/workflows/e2e_tests.yaml
+++ b/.github/workflows/e2e_tests.yaml
@@ -57,7 +57,7 @@ jobs:
       - name: Set up specific Python version
         uses: actions/setup-python@v5
         with:
-          python-version: '3.11'
+          python-version: '3.12'
           cache: 'pip' # caching pip dependencies
 
       - name: Setup NVidia GPU environment for KinD
diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb
index 2e8e36fb..2f0334dc 100644
--- a/demo-notebooks/additional-demos/hf_interactive.ipynb
+++ b/demo-notebooks/additional-demos/hf_interactive.ipynb
@@ -70,7 +70,8 @@
     "\n",
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
-    "- For Python 3.11: 'quay.io/modh/ray:2.35.0-py311-cu121'\n",
+    "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb
index fb1cb3ea..d1318103 100644
--- a/demo-notebooks/additional-demos/local_interactive.ipynb
+++ b/demo-notebooks/additional-demos/local_interactive.ipynb
@@ -38,6 +38,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb
index 39cf2a16..11689a1b 100644
--- a/demo-notebooks/additional-demos/ray_job_client.ipynb
+++ b/demo-notebooks/additional-demos/ray_job_client.ipynb
@@ -44,6 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb
index 413d31b4..7d35107d 100644
--- a/demo-notebooks/guided-demos/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb
@@ -50,6 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
index 5a825b55..0c0b3488 100644
--- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
@@ -44,6 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
index 80f45f13..71d6b78e 100644
--- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
@@ -47,6 +47,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/3_widget_example.ipynb b/demo-notebooks/guided-demos/3_widget_example.ipynb
index d09271c9..28ad43f6 100644
--- a/demo-notebooks/guided-demos/3_widget_example.ipynb
+++ b/demo-notebooks/guided-demos/3_widget_example.ipynb
@@ -50,6 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
index e5972711..21631288 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
@@ -50,6 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
index 9b34da9b..44546a94 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
@@ -44,6 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
index db1560ff..35daa0ff 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
@@ -47,6 +47,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
index e5972711..21631288 100644
--- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
@@ -50,6 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
index 6b913142..1d752f6a 100644
--- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
@@ -44,6 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
index a7ebae08..1c099cfd 100644
--- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
@@ -47,6 +47,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/src/codeflare_sdk/common/utils/constants.py b/src/codeflare_sdk/common/utils/constants.py
index 9721ac85..d380dcc0 100644
--- a/src/codeflare_sdk/common/utils/constants.py
+++ b/src/codeflare_sdk/common/utils/constants.py
@@ -1,3 +1,14 @@
 RAY_VERSION = "2.47.1"
-# Below references ray:2.47.1-py311-cu121
-CUDA_RUNTIME_IMAGE = "quay.io/modh/ray@sha256:6d076aeb38ab3c34a6a2ef0f58dc667089aa15826fa08a73273c629333e12f1e"
+"""
+The below are used to define the default runtime image for the Ray Cluster.
+* For python 3.11:ray:2.47.1-py311-cu121
+* For python 3.12:ray:2.47.1-py312-cu121
+"""
+CUDA_PY311_RUNTIME_IMAGE = "quay.io/modh/ray@sha256:6d076aeb38ab3c34a6a2ef0f58dc667089aa15826fa08a73273c629333e12f1e"
+CUDA_PY312_RUNTIME_IMAGE = "quay.io/modh/ray@sha256:23860dfe2e47bb69709b3883b08fd1a4d836ce02eaf8d0afeeafe6986d0fc8fb"
+
+# Centralized image selection
+SUPPORTED_PYTHON_VERSIONS = {
+    "3.11": CUDA_PY311_RUNTIME_IMAGE,
+    "3.12": CUDA_PY312_RUNTIME_IMAGE,
+}
diff --git a/src/codeflare_sdk/common/utils/unit_test_support.py b/src/codeflare_sdk/common/utils/unit_test_support.py
index b382ec01..653e818c 100644
--- a/src/codeflare_sdk/common/utils/unit_test_support.py
+++ b/src/codeflare_sdk/common/utils/unit_test_support.py
@@ -15,6 +15,7 @@
 import string
 import sys
 from codeflare_sdk.common.utils import constants
+from codeflare_sdk.common.utils.utils import get_ray_image_for_python_version
 from codeflare_sdk.ray.cluster.cluster import (
     Cluster,
     ClusterConfiguration,
@@ -69,7 +70,7 @@ def create_cluster_wrong_type():
         worker_extended_resource_requests={"nvidia.com/gpu": 7},
         appwrapper=True,
         image_pull_secrets=["unit-test-pull-secret"],
-        image=constants.CUDA_RUNTIME_IMAGE,
+        image=constants.CUDA_PY312_RUNTIME_IMAGE,
         write_to_file=True,
         labels={1: 1},
     )
@@ -294,8 +295,8 @@ def apply_template(yaml_file_path, variables):
 
 
 def get_expected_image():
-    # TODO: Select image based on Python version
-    return constants.CUDA_RUNTIME_IMAGE
+    # Use centralized image selection logic (fallback to 3.12 for test consistency)
+    return get_ray_image_for_python_version(warn_on_unsupported=True)
 
 
 def get_template_variables():
diff --git a/src/codeflare_sdk/common/utils/utils.py b/src/codeflare_sdk/common/utils/utils.py
new file mode 100644
index 00000000..f876e924
--- /dev/null
+++ b/src/codeflare_sdk/common/utils/utils.py
@@ -0,0 +1,46 @@
+# Copyright 2025 IBM, Red Hat
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import sys
+
+from codeflare_sdk.common.utils.constants import (
+    SUPPORTED_PYTHON_VERSIONS,
+    CUDA_PY312_RUNTIME_IMAGE,
+)
+
+
+def get_ray_image_for_python_version(python_version=None, warn_on_unsupported=True):
+    """
+    Get the appropriate Ray image for a given Python version.
+    If no version is provided, uses the current runtime Python version.
+    This prevents us needing to hard code image versions for tests.
+
+    Args:
+        python_version: Python version string (e.g. "3.11"). If None, detects current version.
+        warn_on_unsupported: If True, warns and returns None for unsupported versions.
+                           If False, silently falls back to Python 3.12 image.
+    """
+    if python_version is None:
+        python_version = f"{sys.version_info.major}.{sys.version_info.minor}"
+
+    if python_version in SUPPORTED_PYTHON_VERSIONS:
+        return SUPPORTED_PYTHON_VERSIONS[python_version]
+    elif warn_on_unsupported:
+        import warnings
+
+        warnings.warn(
+            f"No default Ray image defined for {python_version}. Please provide your own image or use one of the following python versions: {', '.join(SUPPORTED_PYTHON_VERSIONS.keys())}."
+        )
+        return None
+    else:
+        return CUDA_PY312_RUNTIME_IMAGE
diff --git a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
index 92cefef4..e8b68919 100644
--- a/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/build_ray_cluster.py
@@ -21,6 +21,7 @@
 from ...common.kubernetes_cluster import get_api_client, config_check
 from kubernetes.client.exceptions import ApiException
 from ...common.utils.constants import RAY_VERSION
+from ...common.utils.utils import get_ray_image_for_python_version
 import codeflare_sdk
 import os
 
@@ -95,9 +96,8 @@
     ),
 ]
 
-SUPPORTED_PYTHON_VERSIONS = {
-    "3.11": constants.CUDA_RUNTIME_IMAGE,
-}
+# Use centralized mapping from constants (so that we only have to update constants.py)
+SUPPORTED_PYTHON_VERSIONS = constants.SUPPORTED_PYTHON_VERSIONS
 
 
 # RayCluster/AppWrapper builder function
@@ -272,16 +272,11 @@ def with_nb_annotations(annotations: dict):
 def update_image(image) -> str:
     """
     The update_image() function automatically sets the image config parameter to a preset image based on Python version if not specified.
-    If no Ray image exists for the given Python version a warning is produced.
+    This now points to the centralized function in utils.py.
     """
     if not image:
-        python_version = f"{sys.version_info.major}.{sys.version_info.minor}"
-        if python_version in SUPPORTED_PYTHON_VERSIONS:
-            image = SUPPORTED_PYTHON_VERSIONS[python_version]
-        else:
-            warnings.warn(
-                f"No default Ray image defined for {python_version}. Please provide your own image or use one of the following python versions: {', '.join(SUPPORTED_PYTHON_VERSIONS.keys())}."
-            )
+        # Pull the image based on the matching Python version (or output a warning if not supported)
+        image = get_ray_image_for_python_version(warn_on_unsupported=True)
     return image
 
 
diff --git a/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py b/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
index 6d322b5f..f970d945 100644
--- a/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
+++ b/src/codeflare_sdk/ray/cluster/test_build_ray_cluster.py
@@ -43,6 +43,7 @@ def test_update_image_without_supported_python_version(mocker):
         "codeflare_sdk.ray.cluster.build_ray_cluster.SUPPORTED_PYTHON_VERSIONS",
         {
             "3.11": "ray-py3.11",
+            "3.12": "ray-py3.12",
         },
     )
 
@@ -60,7 +61,7 @@ def test_update_image_without_supported_python_version(mocker):
 
     # Assert that the warning was called with the expected message
     warn_mock.assert_called_once_with(
-        "No default Ray image defined for 3.8. Please provide your own image or use one of the following python versions: 3.11."
+        "No default Ray image defined for 3.8. Please provide your own image or use one of the following python versions: 3.11, 3.12."
     )
 
     # Assert that no image was set since the Python version is not supported
diff --git a/tests/e2e/local_interactive_sdk_kind_test.py b/tests/e2e/local_interactive_sdk_kind_test.py
index 0f5fd93f..1dd8a2e0 100644
--- a/tests/e2e/local_interactive_sdk_kind_test.py
+++ b/tests/e2e/local_interactive_sdk_kind_test.py
@@ -115,7 +115,9 @@ def heavy_calculation(num_iterations):
 
             ref = heavy_calculation.remote(3000)
             result = ray.get(ref)
-            assert result == 1789.4644387076714
+            assert (
+                result == 1789.4644387076728
+            )  # Updated result after moving to Python 3.12 (0.0000000000008% difference to old assertion)
             ray.cancel(ref)
             ray.shutdown()
 
diff --git a/tests/e2e/support.py b/tests/e2e/support.py
index 165a680b..fe9261a2 100644
--- a/tests/e2e/support.py
+++ b/tests/e2e/support.py
@@ -8,6 +8,7 @@
     _kube_api_error_handling,
 )
 from codeflare_sdk.common.utils import constants
+from codeflare_sdk.common.utils.utils import get_ray_image_for_python_version
 
 
 def get_ray_cluster(cluster_name, namespace):
@@ -27,7 +28,10 @@ def get_ray_cluster(cluster_name, namespace):
 
 
 def get_ray_image():
-    return os.getenv("RAY_IMAGE", constants.CUDA_RUNTIME_IMAGE)
+    return os.getenv(
+        "RAY_IMAGE",
+        get_ray_image_for_python_version(warn_on_unsupported=False),
+    )
 
 
 def get_setup_env_variables(**kwargs):

From a20be01b02f5ae3b5e2648e78d49753367971d1e Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Wed, 3 Sep 2025 08:58:59 +0100
Subject: [PATCH 250/254] task(RHAIENG-866): Updated pydantic for feast compat

Signed-off-by: Pat O'Connor 
---
 poetry.lock    | 210 +++++++++++++++++++++++++++++++++++--------------
 pyproject.toml |   2 +-
 2 files changed, 153 insertions(+), 59 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 89bca284..49e45352 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -162,6 +162,18 @@ files = [
     {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
 ]
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
 [[package]]
 name = "anyio"
 version = "4.9.0"
@@ -3141,70 +3153,137 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "1.10.22"
-description = "Data validation and settings management using python type hints"
+version = "2.11.7"
+description = "Data validation using Python type hints"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "pydantic-1.10.22-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:57889565ccc1e5b7b73343329bbe6198ebc472e3ee874af2fa1865cfe7048228"},
-    {file = "pydantic-1.10.22-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:90729e22426de79bc6a3526b4c45ec4400caf0d4f10d7181ba7f12c01bb3897d"},
-    {file = "pydantic-1.10.22-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f8684d347f351554ec94fdcb507983d3116dc4577fb8799fed63c65869a2d10"},
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+    {file = "pydantic_core-2.33.2.tar.gz", hash = "sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pygments"
@@ -4294,6 +4373,21 @@ files = [
     {file = "typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4"},
 ]
 
+[[package]]
+name = "typing-inspection"
+version = "0.4.1"
+description = "Runtime typing introspection tools"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"},
+    {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.12.0"
+
 [[package]]
 name = "tzdata"
 version = "2025.2"
@@ -4656,4 +4750,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.11"
-content-hash = "29175d71269b0c8a1a53eb7027e8d824ef150bf8b4aa4cea8a9ed75684aa6e43"
+content-hash = "6720576cf9ff57c7bb15b97e268bb414218f6a053e7e0a5bdd45d022c0847111"
diff --git a/pyproject.toml b/pyproject.toml
index 5caafcb6..23d45003 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ ray = {version = "2.47.1", extras = ["data", "default"]}
 kubernetes = ">= 27.2.0"
 cryptography = "43.0.3"
 executing = "1.2.0"
-pydantic = "< 2"
+pydantic = ">= 2.10.6"
 ipywidgets = "8.1.2"
 
 [tool.poetry.group.docs]

From 9d1a08b4c0fc836d27f99d99a73c968a9a32b1c6 Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Tue, 9 Sep 2025 10:53:13 +0100
Subject: [PATCH 251/254] task(RHOAIENG-33492): Bump Ray image to CUDA 12.8

Signed-off-by: Pat O'Connor 
---
 demo-notebooks/additional-demos/hf_interactive.ipynb          | 2 +-
 demo-notebooks/additional-demos/local_interactive.ipynb       | 2 +-
 demo-notebooks/additional-demos/ray_job_client.ipynb          | 2 +-
 demo-notebooks/guided-demos/0_basic_ray.ipynb                 | 2 +-
 demo-notebooks/guided-demos/1_cluster_job_client.ipynb        | 2 +-
 demo-notebooks/guided-demos/2_basic_interactive.ipynb         | 2 +-
 demo-notebooks/guided-demos/3_widget_example.ipynb            | 2 +-
 .../guided-demos/notebook-ex-outputs/0_basic_ray.ipynb        | 2 +-
 .../notebook-ex-outputs/1_cluster_job_client.ipynb            | 2 +-
 .../notebook-ex-outputs/2_basic_interactive.ipynb             | 2 +-
 demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb     | 2 +-
 .../guided-demos/preview_nbs/1_cluster_job_client.ipynb       | 2 +-
 .../guided-demos/preview_nbs/2_basic_interactive.ipynb        | 2 +-
 src/codeflare_sdk/common/utils/constants.py                   | 4 ++--
 14 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/demo-notebooks/additional-demos/hf_interactive.ipynb b/demo-notebooks/additional-demos/hf_interactive.ipynb
index 2f0334dc..9b32ab2e 100644
--- a/demo-notebooks/additional-demos/hf_interactive.ipynb
+++ b/demo-notebooks/additional-demos/hf_interactive.ipynb
@@ -71,7 +71,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/additional-demos/local_interactive.ipynb b/demo-notebooks/additional-demos/local_interactive.ipynb
index d1318103..257c6c1b 100644
--- a/demo-notebooks/additional-demos/local_interactive.ipynb
+++ b/demo-notebooks/additional-demos/local_interactive.ipynb
@@ -38,7 +38,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/additional-demos/ray_job_client.ipynb b/demo-notebooks/additional-demos/ray_job_client.ipynb
index 11689a1b..42d3faa0 100644
--- a/demo-notebooks/additional-demos/ray_job_client.ipynb
+++ b/demo-notebooks/additional-demos/ray_job_client.ipynb
@@ -44,7 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/0_basic_ray.ipynb b/demo-notebooks/guided-demos/0_basic_ray.ipynb
index 7d35107d..7bc69afa 100644
--- a/demo-notebooks/guided-demos/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/0_basic_ray.ipynb
@@ -50,7 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
index 0c0b3488..2f042a6d 100644
--- a/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/1_cluster_job_client.ipynb
@@ -44,7 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
index 71d6b78e..683ec236 100644
--- a/demo-notebooks/guided-demos/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/2_basic_interactive.ipynb
@@ -47,7 +47,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/3_widget_example.ipynb b/demo-notebooks/guided-demos/3_widget_example.ipynb
index 28ad43f6..8b70e1da 100644
--- a/demo-notebooks/guided-demos/3_widget_example.ipynb
+++ b/demo-notebooks/guided-demos/3_widget_example.ipynb
@@ -50,7 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
index 21631288..49f7f687 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/0_basic_ray.ipynb
@@ -50,7 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
index 44546a94..913fb919 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/1_cluster_job_client.ipynb
@@ -44,7 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
index 35daa0ff..9c816c53 100644
--- a/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/notebook-ex-outputs/2_basic_interactive.ipynb
@@ -47,7 +47,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
index 21631288..49f7f687 100644
--- a/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/0_basic_ray.ipynb
@@ -50,7 +50,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
index 1d752f6a..3c7b7876 100644
--- a/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/1_cluster_job_client.ipynb
@@ -44,7 +44,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
index 1c099cfd..1de3fc9c 100644
--- a/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
+++ b/demo-notebooks/guided-demos/preview_nbs/2_basic_interactive.ipynb
@@ -47,7 +47,7 @@
     "NOTE: The default images used by the CodeFlare SDK for creating a RayCluster resource depend on the installed Python version:\n",
     "\n",
     "- For Python 3.11: 'quay.io/modh/ray:2.47.1-py311-cu121'\n",
-    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu121'\n",
+    "- For Python 3.12: 'quay.io/modh/ray:2.47.1-py312-cu128'\n",
     "\n",
     "If you prefer to use a custom Ray image that better suits your needs, you can specify it in the image field to override the default."
    ]
diff --git a/src/codeflare_sdk/common/utils/constants.py b/src/codeflare_sdk/common/utils/constants.py
index d380dcc0..7172da40 100644
--- a/src/codeflare_sdk/common/utils/constants.py
+++ b/src/codeflare_sdk/common/utils/constants.py
@@ -2,10 +2,10 @@
 """
 The below are used to define the default runtime image for the Ray Cluster.
 * For python 3.11:ray:2.47.1-py311-cu121
-* For python 3.12:ray:2.47.1-py312-cu121
+* For python 3.12:ray:2.47.1-py312-cu128
 """
 CUDA_PY311_RUNTIME_IMAGE = "quay.io/modh/ray@sha256:6d076aeb38ab3c34a6a2ef0f58dc667089aa15826fa08a73273c629333e12f1e"
-CUDA_PY312_RUNTIME_IMAGE = "quay.io/modh/ray@sha256:23860dfe2e47bb69709b3883b08fd1a4d836ce02eaf8d0afeeafe6986d0fc8fb"
+CUDA_PY312_RUNTIME_IMAGE = "quay.io/modh/ray@sha256:9c72e890f5c66bb2a0f0d940120539ffc875fb6fed83380cbe2eba938e8789b1"
 
 # Centralized image selection
 SUPPORTED_PYTHON_VERSIONS = {

From 22dbaaf491fa8d354cba759a284e7d1a3511eec2 Mon Sep 17 00:00:00 2001
From: kryanbeane 
Date: Fri, 12 Sep 2025 09:22:21 +0100
Subject: [PATCH 252/254] fix: update pyproject.toml

---
 pyproject.toml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 23d45003..db864def 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,10 +1,10 @@
 [project]
 name = "codeflare-sdk"
-version = "0.30.0"
+version = "0.31.0"
 
 [tool.poetry]
 name = "codeflare-sdk"
-version = "0.30.0"
+version = "0.31.0"
 description = "Python SDK for codeflare client"
 
 license = "Apache-2.0"

From 3668d60e46ec35365e8b5be6e3175562037209ec Mon Sep 17 00:00:00 2001
From: Pat O'Connor 
Date: Tue, 16 Sep 2025 14:54:15 +0100
Subject: [PATCH 253/254] task(RHOAIENG-34228): CodeFlare SDK Patch release
 0.31.1

Signed-off-by: Pat O'Connor 
---
 pyproject.toml                              | 4 ++--
 src/codeflare_sdk/common/utils/constants.py | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index db864def..71610478 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,10 +1,10 @@
 [project]
 name = "codeflare-sdk"
-version = "0.31.0"
+version = "0.31.1"
 
 [tool.poetry]
 name = "codeflare-sdk"
-version = "0.31.0"
+version = "0.31.1"
 description = "Python SDK for codeflare client"
 
 license = "Apache-2.0"
diff --git a/src/codeflare_sdk/common/utils/constants.py b/src/codeflare_sdk/common/utils/constants.py
index 7172da40..fcd064d6 100644
--- a/src/codeflare_sdk/common/utils/constants.py
+++ b/src/codeflare_sdk/common/utils/constants.py
@@ -5,7 +5,7 @@
 * For python 3.12:ray:2.47.1-py312-cu128
 """
 CUDA_PY311_RUNTIME_IMAGE = "quay.io/modh/ray@sha256:6d076aeb38ab3c34a6a2ef0f58dc667089aa15826fa08a73273c629333e12f1e"
-CUDA_PY312_RUNTIME_IMAGE = "quay.io/modh/ray@sha256:9c72e890f5c66bb2a0f0d940120539ffc875fb6fed83380cbe2eba938e8789b1"
+CUDA_PY312_RUNTIME_IMAGE = "quay.io/modh/ray@sha256:fb6f207de63e442c67bb48955cf0584f3704281faf17b90419cfa274fdec63c5"
 
 # Centralized image selection
 SUPPORTED_PYTHON_VERSIONS = {

From e8404ec55d615c7a15687ad13adfc1e23e67349b Mon Sep 17 00:00:00 2001
From: Cathal O'Connor 
Date: Wed, 17 Sep 2025 12:50:09 +0100
Subject: [PATCH 254/254] Update Owners file (#908)

---
 OWNERS | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/OWNERS b/OWNERS
index e26dd545..78bda8e8 100644
--- a/OWNERS
+++ b/OWNERS
@@ -1,6 +1,7 @@
 approvers:
   - astefanutti
   - Bobbins228
+  - CathalOConnorRH
   - chipspeak
   - ChristianZaccaria
   - dimakis
@@ -16,6 +17,7 @@ approvers:
 reviewers:
   - astefanutti
   - Bobbins228
+  - CathalOConnorRH
   - chipspeak
   - ChristianZaccaria
   - dimakis

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