force-use int as an index to parameters (since qgis_process interpret…

…s a integer parameter as string)

ORStools/proc/base_processing_algorithm.py

@@ -186,7 +186,7 @@ def get_endpoint_names_from_provider(self, provider: str) -> dict:
 
     @classmethod
     def _get_ors_client_from_provider(
-        cls, provider: str, feedback: QgsProcessingFeedback
+        cls, provider: str | int, feedback: QgsProcessingFeedback
     ) -> client.Client:
         """
         Connects client to provider and returns a client instance for requests to the ors API
@@ -196,7 +196,7 @@ def _get_ors_client_from_provider(
         agent = f"QGIS_{name}"
 
         providers = configmanager.read_config()["providers"]
-        ors_provider = providers[provider]
+        ors_provider = providers[int(provider)]
         ors_client = client.Client(ors_provider, agent)
         ors_client.overQueryLimit.connect(
             lambda: feedback.reportError("OverQueryLimit: Retrying...")

ORStools/proc/directions_lines_proc.py

@@ -129,7 +129,7 @@ def processAlgorithm(
     ) -> Dict[str, str]:
         ors_client = self._get_ors_client_from_provider(parameters[self.IN_PROVIDER], feedback)
 
-        profile = dict(enumerate(PROFILES))[parameters[self.IN_PROFILE]]
+        profile = dict(enumerate(PROFILES))[int(parameters[self.IN_PROFILE])]
 
         preference = dict(enumerate(PREFERENCES))[parameters[self.IN_PREFERENCE]]
 

ORStools/proc/directions_points_layer_proc.py

@@ -137,7 +137,7 @@ def processAlgorithm(
     ) -> Dict[str, str]:
         ors_client = self._get_ors_client_from_provider(parameters[self.IN_PROVIDER], feedback)
 
-        profile = dict(enumerate(PROFILES))[parameters[self.IN_PROFILE]]
+        profile = dict(enumerate(PROFILES))[int(parameters[self.IN_PROFILE])]
 
         preference = dict(enumerate(PREFERENCES))[parameters[self.IN_PREFERENCE]]
 

ORStools/proc/directions_points_layers_proc.py

@@ -148,7 +148,7 @@ def processAlgorithm(
     ) -> Dict[str, str]:
         ors_client = self._get_ors_client_from_provider(parameters[self.IN_PROVIDER], feedback)
 
-        profile = dict(enumerate(PROFILES))[parameters[self.IN_PROFILE]]
+        profile = dict(enumerate(PROFILES))[int(parameters[self.IN_PROFILE])]
 
         preference = dict(enumerate(PREFERENCES))[parameters[self.IN_PREFERENCE]]
 

ORStools/proc/export_proc.py

@@ -76,7 +76,7 @@ def processAlgorithm(
         ors_client = self._get_ors_client_from_provider(parameters[self.IN_PROVIDER], feedback)
 
         # Get profile value
-        profile = dict(enumerate(PROFILES))[parameters[self.IN_PROFILE]]
+        profile = dict(enumerate(PROFILES))[int(parameters[self.IN_PROFILE])]
 
         target_crs = QgsCoordinateReferenceSystem("EPSG:4326")
         rect = self.parameterAsExtent(parameters, self.IN_EXPORT, context, crs=target_crs)

ORStools/proc/isochrones_layer_proc.py

@@ -121,10 +121,10 @@ def processAlgorithm(
         self, parameters: dict, context: QgsProcessingContext, feedback: QgsProcessingFeedback
     ) -> Dict[str, str]:
         ors_client = self._get_ors_client_from_provider(parameters[self.IN_PROVIDER], feedback)
-
-        profile = dict(enumerate(PROFILES))[parameters[self.IN_PROFILE]]
-        dimension = dict(enumerate(DIMENSIONS))[parameters[self.IN_METRIC]]
-        location_type = dict(enumerate(LOCATION_TYPES))[parameters[self.LOCATION_TYPE]]
+        
+        profile = dict(enumerate(PROFILES))[int(parameters[self.IN_PROFILE])]
+        dimension = dict(enumerate(DIMENSIONS))[int(parameters[self.IN_METRIC])]
+        location_type = dict(enumerate(LOCATION_TYPES))[int(parameters[self.LOCATION_TYPE])]
 
         factor = 60 if dimension == "time" else 1
         ranges_raw = parameters[self.IN_RANGES]

ORStools/proc/isochrones_point_proc.py

@@ -107,10 +107,9 @@ def processAlgorithm(
         self, parameters: dict, context: QgsProcessingContext, feedback: QgsProcessingFeedback
     ) -> Dict[str, str]:
         ors_client = self._get_ors_client_from_provider(parameters[self.IN_PROVIDER], feedback)
-
-        profile = dict(enumerate(PROFILES))[parameters[self.IN_PROFILE]]
-        dimension = dict(enumerate(DIMENSIONS))[parameters[self.IN_METRIC]]
-        location_type = dict(enumerate(LOCATION_TYPES))[parameters[self.LOCATION_TYPE]]
+        profile = dict(enumerate(PROFILES))[int(parameters[self.IN_PROFILE])]
+        dimension = dict(enumerate(DIMENSIONS))[int(parameters[self.IN_METRIC])]
+        location_type = dict(enumerate(LOCATION_TYPES))[int(parameters[self.LOCATION_TYPE])]
 
         factor = 60 if dimension == "time" else 1
         ranges_raw = parameters[self.IN_RANGES]

ORStools/proc/matrix_proc.py

@@ -93,7 +93,7 @@ def processAlgorithm(
         ors_client = self._get_ors_client_from_provider(parameters[self.IN_PROVIDER], feedback)
 
         # Get profile value
-        profile = dict(enumerate(PROFILES))[parameters[self.IN_PROFILE]]
+        profile = dict(enumerate(PROFILES))[int(parameters[self.IN_PROFILE])]
 
         # TODO: enable once core matrix is available
         # options = self.parseOptions(parameters, context)

ORStools/proc/snap_layer_proc.py

@@ -76,7 +76,7 @@ def processAlgorithm(
         ors_client = self._get_ors_client_from_provider(parameters[self.IN_PROVIDER], feedback)
 
         # Get profile value
-        profile = dict(enumerate(PROFILES))[parameters[self.IN_PROFILE]]
+        profile = dict(enumerate(PROFILES))[int(parameters[self.IN_PROFILE])]
 
         # Get parameter values
         source = self.parameterAsSource(parameters, self.IN_POINTS, context)

ORStools/proc/snap_point_proc.py

@@ -79,7 +79,7 @@ def processAlgorithm(
         ors_client = self._get_ors_client_from_provider(parameters[self.IN_PROVIDER], feedback)
 
         # Get profile value
-        profile = dict(enumerate(PROFILES))[parameters[self.IN_PROFILE]]
+        profile = dict(enumerate(PROFILES))[int(parameters[self.IN_PROFILE])]
 
         # Get parameter values
         point = self.parameterAsPoint(parameters, self.IN_POINT, context, self.crs_out)