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new recordings and disable accidentally enabled test
  • Loading branch information
MilesHolland committed Oct 31, 2024
commit b36f26b9d6a2ae44ca1300397f09be0f04698e69
2 changes: 1 addition & 1 deletion sdk/evaluation/azure-ai-evaluation/assets.json
Original file line number Diff line number Diff line change
Expand Up @@ -2,5 +2,5 @@
"AssetsRepo": "Azure/azure-sdk-assets",
"AssetsRepoPrefixPath": "python",
"TagPrefix": "python/evaluation/azure-ai-evaluation",
"Tag": "python/evaluation/azure-ai-evaluation_daf1ed16fc"
"Tag": "python/evaluation/azure-ai-evaluation_9fe808d351"
}
Original file line number Diff line number Diff line change
Expand Up @@ -113,7 +113,7 @@ def _get_run_from_run_history(flow_run_id, ml_client, project_scope):
@pytest.mark.usefixtures("recording_injection", "recorded_test")
@pytest.mark.localtest
class TestEvaluate:
# @pytest.mark.skip(reason="Temporary skip to merge 37201, will re-enable in subsequent pr")
@pytest.mark.skip(reason="Temporary skip to merge 37201, will re-enable in subsequent pr")
def test_evaluate_with_groundedness_evaluator(self, model_config, data_file):
# data
input_data = pd.read_json(data_file, lines=True)
Expand Down Expand Up @@ -150,7 +150,7 @@ def test_evaluate_with_groundedness_evaluator(self, model_config, data_file):
assert row_result_df["outputs.f1_score.f1_score"][2] == 1
assert result["studio_url"] is None

# @pytest.mark.skip(reason="Temporary skip to merge 37201, will re-enable in subsequent pr")
@pytest.mark.skip(reason="Temporary skip to merge 37201, will re-enable in subsequent pr")
def test_evaluate_with_relative_data_path(self, model_config):
original_working_dir = os.getcwd()

Expand Down Expand Up @@ -401,7 +401,7 @@ def test_evaluate_with_groundedness_pro_evaluator(self, project_scope, data_conv
assert 0 <= convo_metrics.get("groundedness_pro.groundedness_pro_passing_rate") <= 1

# @pytest.mark.performance_test
# @pytest.mark.skip(reason="Temporary skip to merge 37201, will re-enable in subsequent pr")
@pytest.mark.skip(reason="Temporary skip to merge 37201, will re-enable in subsequent pr")
def test_evaluate_with_async_enabled_evaluator(self, model_config, data_file):
os.environ["AI_EVALS_BATCH_USE_ASYNC"] = "true"
fluency_eval = FluencyEvaluator(model_config)
Expand Down