[AutoPR track2_azure-mgmt-machinelearningservices] Add feature store api's to GA version

sdk/machinelearning/azure-mgmt-machinelearningservices/_meta.json

@@ -1,11 +1,11 @@
 {
-  "commit": "c7daa3d35baaaabece0dbc6f731eadbe426973b9",
+  "commit": "f87dba08211841f4b87631fa0de60fc6ff3412a9",
   "repository_url": "https://github.com/Azure/azure-rest-api-specs",
-  "autorest": "3.9.2",
+  "autorest": "3.9.7",
   "use": [
-    "@autorest/python@6.4.12",
-    "@autorest/modelerfour@4.24.3"
+    "@autorest/python@6.7.1",
+    "@autorest/modelerfour@4.26.2"
   ],
-  "autorest_command": "autorest specification/machinelearningservices/resource-manager/readme.md --generate-sample=True --include-x-ms-examples-original-file=True --python --python-sdks-folder=/home/vsts/work/1/azure-sdk-for-python/sdk --use=@autorest/python@6.4.12 --use=@autorest/modelerfour@4.24.3 --version=3.9.2 --version-tolerant=False",
+  "autorest_command": "autorest specification/machinelearningservices/resource-manager/readme.md --generate-sample=True --include-x-ms-examples-original-file=True --python --python-sdks-folder=/mnt/vss/_work/1/s/azure-sdk-for-python/sdk --use=@autorest/python@6.7.1 --use=@autorest/modelerfour@4.26.2 --version=3.9.7 --version-tolerant=False",
   "readme": "specification/machinelearningservices/resource-manager/readme.md"
 }

sdk/machinelearning/azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/_configuration.py

@@ -29,14 +29,14 @@ class MachineLearningServicesMgmtClientConfiguration(Configuration):  # pylint:
     :type credential: ~azure.core.credentials.TokenCredential
     :param subscription_id: The ID of the target subscription. Required.
     :type subscription_id: str
-    :keyword api_version: Api Version. Default value is "2023-04-01". Note that overriding this
+    :keyword api_version: Api Version. Default value is "2023-10-01". Note that overriding this
      default value may result in unsupported behavior.
     :paramtype api_version: str
     """
 
     def __init__(self, credential: "TokenCredential", subscription_id: str, **kwargs: Any) -> None:
         super(MachineLearningServicesMgmtClientConfiguration, self).__init__(**kwargs)
-        api_version: str = kwargs.pop("api_version", "2023-04-01")
+        api_version: str = kwargs.pop("api_version", "2023-10-01")
 
         if credential is None:
             raise ValueError("Parameter 'credential' must not be None.")

sdk/machinelearning/azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/_machine_learning_services_mgmt_client.py

@@ -28,7 +28,14 @@
     DatastoresOperations,
     EnvironmentContainersOperations,
     EnvironmentVersionsOperations,
+    FeaturesOperations,
+    FeaturesetContainersOperations,
+    FeaturesetVersionsOperations,
+    FeaturestoreEntityContainersOperations,
+    FeaturestoreEntityVersionsOperations,
     JobsOperations,
+    ManagedNetworkProvisionsOperations,
+    ManagedNetworkSettingsRuleOperations,
     ModelContainersOperations,
     ModelVersionsOperations,
     OnlineDeploymentsOperations,
@@ -43,6 +50,7 @@
     RegistryComponentContainersOperations,
     RegistryComponentVersionsOperations,
     RegistryDataContainersOperations,
+    RegistryDataReferencesOperations,
     RegistryDataVersionsOperations,
     RegistryEnvironmentContainersOperations,
     RegistryEnvironmentVersionsOperations,
@@ -86,6 +94,12 @@ class MachineLearningServicesMgmtClient:  # pylint: disable=client-accepts-api-v
     :ivar workspace_connections: WorkspaceConnectionsOperations operations
     :vartype workspace_connections:
      azure.mgmt.machinelearningservices.operations.WorkspaceConnectionsOperations
+    :ivar managed_network_settings_rule: ManagedNetworkSettingsRuleOperations operations
+    :vartype managed_network_settings_rule:
+     azure.mgmt.machinelearningservices.operations.ManagedNetworkSettingsRuleOperations
+    :ivar managed_network_provisions: ManagedNetworkProvisionsOperations operations
+    :vartype managed_network_provisions:
+     azure.mgmt.machinelearningservices.operations.ManagedNetworkProvisionsOperations
     :ivar registry_code_containers: RegistryCodeContainersOperations operations
     :vartype registry_code_containers:
      azure.mgmt.machinelearningservices.operations.RegistryCodeContainersOperations
@@ -104,6 +118,9 @@ class MachineLearningServicesMgmtClient:  # pylint: disable=client-accepts-api-v
     :ivar registry_data_versions: RegistryDataVersionsOperations operations
     :vartype registry_data_versions:
      azure.mgmt.machinelearningservices.operations.RegistryDataVersionsOperations
+    :ivar registry_data_references: RegistryDataReferencesOperations operations
+    :vartype registry_data_references:
+     azure.mgmt.machinelearningservices.operations.RegistryDataReferencesOperations
     :ivar registry_environment_containers: RegistryEnvironmentContainersOperations operations
     :vartype registry_environment_containers:
      azure.mgmt.machinelearningservices.operations.RegistryEnvironmentContainersOperations
@@ -146,6 +163,20 @@ class MachineLearningServicesMgmtClient:  # pylint: disable=client-accepts-api-v
     :ivar environment_versions: EnvironmentVersionsOperations operations
     :vartype environment_versions:
      azure.mgmt.machinelearningservices.operations.EnvironmentVersionsOperations
+    :ivar featureset_containers: FeaturesetContainersOperations operations
+    :vartype featureset_containers:
+     azure.mgmt.machinelearningservices.operations.FeaturesetContainersOperations
+    :ivar features: FeaturesOperations operations
+    :vartype features: azure.mgmt.machinelearningservices.operations.FeaturesOperations
+    :ivar featureset_versions: FeaturesetVersionsOperations operations
+    :vartype featureset_versions:
+     azure.mgmt.machinelearningservices.operations.FeaturesetVersionsOperations
+    :ivar featurestore_entity_containers: FeaturestoreEntityContainersOperations operations
+    :vartype featurestore_entity_containers:
+     azure.mgmt.machinelearningservices.operations.FeaturestoreEntityContainersOperations
+    :ivar featurestore_entity_versions: FeaturestoreEntityVersionsOperations operations
+    :vartype featurestore_entity_versions:
+     azure.mgmt.machinelearningservices.operations.FeaturestoreEntityVersionsOperations
     :ivar jobs: JobsOperations operations
     :vartype jobs: azure.mgmt.machinelearningservices.operations.JobsOperations
     :ivar model_containers: ModelContainersOperations operations
@@ -172,7 +203,7 @@ class MachineLearningServicesMgmtClient:  # pylint: disable=client-accepts-api-v
     :type subscription_id: str
     :param base_url: Service URL. Default value is "https://management.azure.com".
     :type base_url: str
-    :keyword api_version: Api Version. Default value is "2023-04-01". Note that overriding this
+    :keyword api_version: Api Version. Default value is "2023-10-01". Note that overriding this
      default value may result in unsupported behavior.
     :paramtype api_version: str
     :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
@@ -212,6 +243,12 @@ def __init__(
         self.workspace_connections = WorkspaceConnectionsOperations(
             self._client, self._config, self._serialize, self._deserialize
         )
+        self.managed_network_settings_rule = ManagedNetworkSettingsRuleOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
+        self.managed_network_provisions = ManagedNetworkProvisionsOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
         self.registry_code_containers = RegistryCodeContainersOperations(
             self._client, self._config, self._serialize, self._deserialize
         )
@@ -230,6 +267,9 @@ def __init__(
         self.registry_data_versions = RegistryDataVersionsOperations(
             self._client, self._config, self._serialize, self._deserialize
         )
+        self.registry_data_references = RegistryDataReferencesOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
         self.registry_environment_containers = RegistryEnvironmentContainersOperations(
             self._client, self._config, self._serialize, self._deserialize
         )
@@ -263,6 +303,19 @@ def __init__(
         self.environment_versions = EnvironmentVersionsOperations(
             self._client, self._config, self._serialize, self._deserialize
         )
+        self.featureset_containers = FeaturesetContainersOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
+        self.features = FeaturesOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.featureset_versions = FeaturesetVersionsOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
+        self.featurestore_entity_containers = FeaturestoreEntityContainersOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
+        self.featurestore_entity_versions = FeaturestoreEntityVersionsOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
         self.jobs = JobsOperations(self._client, self._config, self._serialize, self._deserialize)
         self.model_containers = ModelContainersOperations(
             self._client, self._config, self._serialize, self._deserialize

sdk/machinelearning/azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/_serialization.py

@@ -662,8 +662,9 @@ def _serialize(self, target_obj, data_type=None, **kwargs):
                                 _serialized.update(_new_attr)  # type: ignore
                             _new_attr = _new_attr[k]  # type: ignore
                             _serialized = _serialized[k]
-                except ValueError:
-                    continue
+                except ValueError as err:
+                    if isinstance(err, SerializationError):
+                        raise
 
         except (AttributeError, KeyError, TypeError) as err:
             msg = "Attribute {} in object {} cannot be serialized.\n{}".format(attr_name, class_name, str(target_obj))
@@ -741,6 +742,8 @@ def query(self, name, data, data_type, **kwargs):
 
         :param data: The data to be serialized.
         :param str data_type: The type to be serialized from.
+        :keyword bool skip_quote: Whether to skip quote the serialized result.
+        Defaults to False.
         :rtype: str
         :raises: TypeError if serialization fails.
         :raises: ValueError if data is None
@@ -749,10 +752,8 @@ def query(self, name, data, data_type, **kwargs):
             # Treat the list aside, since we don't want to encode the div separator
             if data_type.startswith("["):
                 internal_data_type = data_type[1:-1]
-                data = [self.serialize_data(d, internal_data_type, **kwargs) if d is not None else "" for d in data]
-                if not kwargs.get("skip_quote", False):
-                    data = [quote(str(d), safe="") for d in data]
-                return str(self.serialize_iter(data, internal_data_type, **kwargs))
+                do_quote = not kwargs.get("skip_quote", False)
+                return str(self.serialize_iter(data, internal_data_type, do_quote=do_quote, **kwargs))
 
             # Not a list, regular serialization
             output = self.serialize_data(data, data_type, **kwargs)
@@ -891,6 +892,8 @@ def serialize_iter(self, data, iter_type, div=None, **kwargs):
          not be None or empty.
         :param str div: If set, this str will be used to combine the elements
          in the iterable into a combined string. Default is 'None'.
+        :keyword bool do_quote: Whether to quote the serialized result of each iterable element.
+        Defaults to False.
         :rtype: list, str
         """
         if isinstance(data, str):
@@ -903,9 +906,14 @@ def serialize_iter(self, data, iter_type, div=None, **kwargs):
         for d in data:
             try:
                 serialized.append(self.serialize_data(d, iter_type, **kwargs))
-            except ValueError:
+            except ValueError as err:
+                if isinstance(err, SerializationError):
+                    raise
                 serialized.append(None)
 
+        if kwargs.get("do_quote", False):
+            serialized = ["" if s is None else quote(str(s), safe="") for s in serialized]
+
         if div:
             serialized = ["" if s is None else str(s) for s in serialized]
             serialized = div.join(serialized)
@@ -950,7 +958,9 @@ def serialize_dict(self, attr, dict_type, **kwargs):
         for key, value in attr.items():
             try:
                 serialized[self.serialize_unicode(key)] = self.serialize_data(value, dict_type, **kwargs)
-            except ValueError:
+            except ValueError as err:
+                if isinstance(err, SerializationError):
+                    raise
                 serialized[self.serialize_unicode(key)] = None
 
         if "xml" in serialization_ctxt:

sdk/machinelearning/azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/_vendor.py

@@ -5,8 +5,6 @@
 # Changes may cause incorrect behavior and will be lost if the code is regenerated.
 # --------------------------------------------------------------------------
 
-from typing import List, cast
-
 from azure.core.pipeline.transport import HttpRequest
 
 
@@ -16,15 +14,3 @@ def _convert_request(request, files=None):
     if files:
         request.set_formdata_body(files)
     return request
-
-
-def _format_url_section(template, **kwargs):
-    components = template.split("/")
-    while components:
-        try:
-            return template.format(**kwargs)
-        except KeyError as key:
-            # Need the cast, as for some reasons "split" is typed as list[str | Any]
-            formatted_components = cast(List[str], template.split("/"))
-            components = [c for c in formatted_components if "{}".format(key.args[0]) not in c]
-            template = "/".join(components)

sdk/machinelearning/azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/_version.py

@@ -6,4 +6,4 @@
 # Changes may cause incorrect behavior and will be lost if the code is regenerated.
 # --------------------------------------------------------------------------
 
-VERSION = "2.0.0b2"
+VERSION = "1.0.0b1"

sdk/machinelearning/azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/aio/_configuration.py

@@ -29,14 +29,14 @@ class MachineLearningServicesMgmtClientConfiguration(Configuration):  # pylint:
     :type credential: ~azure.core.credentials_async.AsyncTokenCredential
     :param subscription_id: The ID of the target subscription. Required.
     :type subscription_id: str
-    :keyword api_version: Api Version. Default value is "2023-04-01". Note that overriding this
+    :keyword api_version: Api Version. Default value is "2023-10-01". Note that overriding this
      default value may result in unsupported behavior.
     :paramtype api_version: str
     """
 
     def __init__(self, credential: "AsyncTokenCredential", subscription_id: str, **kwargs: Any) -> None:
         super(MachineLearningServicesMgmtClientConfiguration, self).__init__(**kwargs)
-        api_version: str = kwargs.pop("api_version", "2023-04-01")
+        api_version: str = kwargs.pop("api_version", "2023-10-01")
 
         if credential is None:
             raise ValueError("Parameter 'credential' must not be None.")