[AutoPR datafactory/resource-manager] [Datafactory] Add Azure Function to Swagger

azure-mgmt-datafactory/azure/mgmt/datafactory/data_factory_management_client.py

@@ -15,6 +15,7 @@
 from .version import VERSION
 from .operations.operations import Operations
 from .operations.factories_operations import FactoriesOperations
+from .operations.exposure_control_operations import ExposureControlOperations
 from .operations.integration_runtimes_operations import IntegrationRuntimesOperations
 from .operations.integration_runtime_object_metadata_operations import IntegrationRuntimeObjectMetadataOperations
 from .operations.integration_runtime_nodes_operations import IntegrationRuntimeNodesOperations
@@ -71,6 +72,8 @@ class DataFactoryManagementClient(SDKClient):
     :vartype operations: azure.mgmt.datafactory.operations.Operations
     :ivar factories: Factories operations
     :vartype factories: azure.mgmt.datafactory.operations.FactoriesOperations
+    :ivar exposure_control: ExposureControl operations
+    :vartype exposure_control: azure.mgmt.datafactory.operations.ExposureControlOperations
     :ivar integration_runtimes: IntegrationRuntimes operations
     :vartype integration_runtimes: azure.mgmt.datafactory.operations.IntegrationRuntimesOperations
     :ivar integration_runtime_object_metadata: IntegrationRuntimeObjectMetadata operations
@@ -117,6 +120,8 @@ def __init__(
             self._client, self.config, self._serialize, self._deserialize)
         self.factories = FactoriesOperations(
             self._client, self.config, self._serialize, self._deserialize)
+        self.exposure_control = ExposureControlOperations(
+            self._client, self.config, self._serialize, self._deserialize)
         self.integration_runtimes = IntegrationRuntimesOperations(
             self._client, self.config, self._serialize, self._deserialize)
         self.integration_runtime_object_metadata = IntegrationRuntimeObjectMetadataOperations(

azure-mgmt-datafactory/azure/mgmt/datafactory/models/__init__.py

@@ -78,6 +78,8 @@
     from .operation_py3 import Operation
     from .get_ssis_object_metadata_request_py3 import GetSsisObjectMetadataRequest
     from .ssis_object_metadata_status_response_py3 import SsisObjectMetadataStatusResponse
+    from .exposure_control_request_py3 import ExposureControlRequest
+    from .exposure_control_response_py3 import ExposureControlResponse
     from .self_dependency_tumbling_window_trigger_reference_py3 import SelfDependencyTumblingWindowTriggerReference
     from .trigger_reference_py3 import TriggerReference
     from .tumbling_window_trigger_dependency_reference_py3 import TumblingWindowTriggerDependencyReference
@@ -92,6 +94,7 @@
     from .schedule_trigger_recurrence_py3 import ScheduleTriggerRecurrence
     from .schedule_trigger_py3 import ScheduleTrigger
     from .multiple_pipeline_trigger_py3 import MultiplePipelineTrigger
+    from .azure_function_linked_service_py3 import AzureFunctionLinkedService
     from .responsys_linked_service_py3 import ResponsysLinkedService
     from .azure_databricks_linked_service_py3 import AzureDatabricksLinkedService
     from .azure_data_lake_analytics_linked_service_py3 import AzureDataLakeAnalyticsLinkedService
@@ -234,6 +237,7 @@
     from .azure_blob_dataset_py3 import AzureBlobDataset
     from .amazon_s3_dataset_py3 import AmazonS3Dataset
     from .activity_policy_py3 import ActivityPolicy
+    from .azure_function_activity_py3 import AzureFunctionActivity
     from .databricks_spark_python_activity_py3 import DatabricksSparkPythonActivity
     from .databricks_spark_jar_activity_py3 import DatabricksSparkJarActivity
     from .databricks_notebook_activity_py3 import DatabricksNotebookActivity
@@ -306,6 +310,7 @@
     from .custom_activity_py3 import CustomActivity
     from .ssis_property_override_py3 import SSISPropertyOverride
     from .ssis_execution_parameter_py3 import SSISExecutionParameter
+    from .ssis_execution_credential_py3 import SSISExecutionCredential
     from .ssis_package_location_py3 import SSISPackageLocation
     from .execute_ssis_package_activity_py3 import ExecuteSSISPackageActivity
     from .hd_insight_spark_activity_py3 import HDInsightSparkActivity
@@ -438,6 +443,8 @@
     from .operation import Operation
     from .get_ssis_object_metadata_request import GetSsisObjectMetadataRequest
     from .ssis_object_metadata_status_response import SsisObjectMetadataStatusResponse
+    from .exposure_control_request import ExposureControlRequest
+    from .exposure_control_response import ExposureControlResponse
     from .self_dependency_tumbling_window_trigger_reference import SelfDependencyTumblingWindowTriggerReference
     from .trigger_reference import TriggerReference
     from .tumbling_window_trigger_dependency_reference import TumblingWindowTriggerDependencyReference
@@ -452,6 +459,7 @@
     from .schedule_trigger_recurrence import ScheduleTriggerRecurrence
     from .schedule_trigger import ScheduleTrigger
     from .multiple_pipeline_trigger import MultiplePipelineTrigger
+    from .azure_function_linked_service import AzureFunctionLinkedService
     from .responsys_linked_service import ResponsysLinkedService
     from .azure_databricks_linked_service import AzureDatabricksLinkedService
     from .azure_data_lake_analytics_linked_service import AzureDataLakeAnalyticsLinkedService
@@ -594,6 +602,7 @@
     from .azure_blob_dataset import AzureBlobDataset
     from .amazon_s3_dataset import AmazonS3Dataset
     from .activity_policy import ActivityPolicy
+    from .azure_function_activity import AzureFunctionActivity
     from .databricks_spark_python_activity import DatabricksSparkPythonActivity
     from .databricks_spark_jar_activity import DatabricksSparkJarActivity
     from .databricks_notebook_activity import DatabricksNotebookActivity
@@ -666,6 +675,7 @@
     from .custom_activity import CustomActivity
     from .ssis_property_override import SSISPropertyOverride
     from .ssis_execution_parameter import SSISExecutionParameter
+    from .ssis_execution_credential import SSISExecutionCredential
     from .ssis_package_location import SSISPackageLocation
     from .execute_ssis_package_activity import ExecuteSSISPackageActivity
     from .hd_insight_spark_activity import HDInsightSparkActivity
@@ -777,6 +787,7 @@
     SybaseAuthenticationType,
     DatasetCompressionLevel,
     JsonFormatFilePattern,
+    AzureFunctionActivityMethod,
     WebActivityMethod,
     CassandraSourceReadConsistencyLevels,
     StoredProcedureParameterType,
@@ -868,6 +879,8 @@
     'Operation',
     'GetSsisObjectMetadataRequest',
     'SsisObjectMetadataStatusResponse',
+    'ExposureControlRequest',
+    'ExposureControlResponse',
     'SelfDependencyTumblingWindowTriggerReference',
     'TriggerReference',
     'TumblingWindowTriggerDependencyReference',
@@ -882,6 +895,7 @@
     'ScheduleTriggerRecurrence',
     'ScheduleTrigger',
     'MultiplePipelineTrigger',
+    'AzureFunctionLinkedService',
     'ResponsysLinkedService',
     'AzureDatabricksLinkedService',
     'AzureDataLakeAnalyticsLinkedService',
@@ -1024,6 +1038,7 @@
     'AzureBlobDataset',
     'AmazonS3Dataset',
     'ActivityPolicy',
+    'AzureFunctionActivity',
     'DatabricksSparkPythonActivity',
     'DatabricksSparkJarActivity',
     'DatabricksNotebookActivity',
@@ -1096,6 +1111,7 @@
     'CustomActivity',
     'SSISPropertyOverride',
     'SSISExecutionParameter',
+    'SSISExecutionCredential',
     'SSISPackageLocation',
     'ExecuteSSISPackageActivity',
     'HDInsightSparkActivity',
@@ -1206,6 +1222,7 @@
     'SybaseAuthenticationType',
     'DatasetCompressionLevel',
     'JsonFormatFilePattern',
+    'AzureFunctionActivityMethod',
     'WebActivityMethod',
     'CassandraSourceReadConsistencyLevels',
     'StoredProcedureParameterType',

azure-mgmt-datafactory/azure/mgmt/datafactory/models/amazon_mws_object_dataset.py

@@ -25,6 +25,10 @@ class AmazonMWSObjectDataset(Dataset):
     :param structure: Columns that define the structure of the dataset. Type:
      array (or Expression with resultType array), itemType: DatasetDataElement.
     :type structure: object
+    :param schema: Columns that define the physical type schema of the
+     dataset. Type: array (or Expression with resultType array), itemType:
+     DatasetSchemaDataElement.
+    :type schema: object
     :param linked_service_name: Required. Linked service reference.
     :type linked_service_name:
      ~azure.mgmt.datafactory.models.LinkedServiceReference
@@ -53,6 +57,7 @@ class AmazonMWSObjectDataset(Dataset):
         'additional_properties': {'key': '', 'type': '{object}'},
         'description': {'key': 'description', 'type': 'str'},
         'structure': {'key': 'structure', 'type': 'object'},
+        'schema': {'key': 'schema', 'type': 'object'},
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},

azure-mgmt-datafactory/azure/mgmt/datafactory/models/amazon_mws_object_dataset_py3.py

@@ -25,6 +25,10 @@ class AmazonMWSObjectDataset(Dataset):
     :param structure: Columns that define the structure of the dataset. Type:
      array (or Expression with resultType array), itemType: DatasetDataElement.
     :type structure: object
+    :param schema: Columns that define the physical type schema of the
+     dataset. Type: array (or Expression with resultType array), itemType:
+     DatasetSchemaDataElement.
+    :type schema: object
     :param linked_service_name: Required. Linked service reference.
     :type linked_service_name:
      ~azure.mgmt.datafactory.models.LinkedServiceReference
@@ -53,6 +57,7 @@ class AmazonMWSObjectDataset(Dataset):
         'additional_properties': {'key': '', 'type': '{object}'},
         'description': {'key': 'description', 'type': 'str'},
         'structure': {'key': 'structure', 'type': 'object'},
+        'schema': {'key': 'schema', 'type': 'object'},
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
@@ -61,7 +66,7 @@ class AmazonMWSObjectDataset(Dataset):
         'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
     }
 
-    def __init__(self, *, linked_service_name, additional_properties=None, description: str=None, structure=None, parameters=None, annotations=None, folder=None, table_name=None, **kwargs) -> None:
-        super(AmazonMWSObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
+    def __init__(self, *, linked_service_name, additional_properties=None, description: str=None, structure=None, schema=None, parameters=None, annotations=None, folder=None, table_name=None, **kwargs) -> None:
+        super(AmazonMWSObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
         self.table_name = table_name
         self.type = 'AmazonMWSObject'

azure-mgmt-datafactory/azure/mgmt/datafactory/models/amazon_s3_dataset.py

@@ -25,6 +25,10 @@ class AmazonS3Dataset(Dataset):
     :param structure: Columns that define the structure of the dataset. Type:
      array (or Expression with resultType array), itemType: DatasetDataElement.
     :type structure: object
+    :param schema: Columns that define the physical type schema of the
+     dataset. Type: array (or Expression with resultType array), itemType:
+     DatasetSchemaDataElement.
+    :type schema: object
     :param linked_service_name: Required. Linked service reference.
     :type linked_service_name:
      ~azure.mgmt.datafactory.models.LinkedServiceReference
@@ -68,6 +72,7 @@ class AmazonS3Dataset(Dataset):
         'additional_properties': {'key': '', 'type': '{object}'},
         'description': {'key': 'description', 'type': 'str'},
         'structure': {'key': 'structure', 'type': 'object'},
+        'schema': {'key': 'schema', 'type': 'object'},
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},

azure-mgmt-datafactory/azure/mgmt/datafactory/models/amazon_s3_dataset_py3.py

@@ -25,6 +25,10 @@ class AmazonS3Dataset(Dataset):
     :param structure: Columns that define the structure of the dataset. Type:
      array (or Expression with resultType array), itemType: DatasetDataElement.
     :type structure: object
+    :param schema: Columns that define the physical type schema of the
+     dataset. Type: array (or Expression with resultType array), itemType:
+     DatasetSchemaDataElement.
+    :type schema: object
     :param linked_service_name: Required. Linked service reference.
     :type linked_service_name:
      ~azure.mgmt.datafactory.models.LinkedServiceReference
@@ -68,6 +72,7 @@ class AmazonS3Dataset(Dataset):
         'additional_properties': {'key': '', 'type': '{object}'},
         'description': {'key': 'description', 'type': 'str'},
         'structure': {'key': 'structure', 'type': 'object'},
+        'schema': {'key': 'schema', 'type': 'object'},
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
@@ -81,8 +86,8 @@ class AmazonS3Dataset(Dataset):
         'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
     }
 
-    def __init__(self, *, linked_service_name, bucket_name, additional_properties=None, description: str=None, structure=None, parameters=None, annotations=None, folder=None, key=None, prefix=None, version=None, format=None, compression=None, **kwargs) -> None:
-        super(AmazonS3Dataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
+    def __init__(self, *, linked_service_name, bucket_name, additional_properties=None, description: str=None, structure=None, schema=None, parameters=None, annotations=None, folder=None, key=None, prefix=None, version=None, format=None, compression=None, **kwargs) -> None:
+        super(AmazonS3Dataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
         self.bucket_name = bucket_name
         self.key = key
         self.prefix = prefix

azure-mgmt-datafactory/azure/mgmt/datafactory/models/azure_blob_dataset.py

@@ -25,6 +25,10 @@ class AzureBlobDataset(Dataset):
     :param structure: Columns that define the structure of the dataset. Type:
      array (or Expression with resultType array), itemType: DatasetDataElement.
     :type structure: object
+    :param schema: Columns that define the physical type schema of the
+     dataset. Type: array (or Expression with resultType array), itemType:
+     DatasetSchemaDataElement.
+    :type schema: object
     :param linked_service_name: Required. Linked service reference.
     :type linked_service_name:
      ~azure.mgmt.datafactory.models.LinkedServiceReference
@@ -63,6 +67,7 @@ class AzureBlobDataset(Dataset):
         'additional_properties': {'key': '', 'type': '{object}'},
         'description': {'key': 'description', 'type': 'str'},
         'structure': {'key': 'structure', 'type': 'object'},
+        'schema': {'key': 'schema', 'type': 'object'},
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},

azure-mgmt-datafactory/azure/mgmt/datafactory/models/azure_blob_dataset_py3.py

@@ -25,6 +25,10 @@ class AzureBlobDataset(Dataset):
     :param structure: Columns that define the structure of the dataset. Type:
      array (or Expression with resultType array), itemType: DatasetDataElement.
     :type structure: object
+    :param schema: Columns that define the physical type schema of the
+     dataset. Type: array (or Expression with resultType array), itemType:
+     DatasetSchemaDataElement.
+    :type schema: object
     :param linked_service_name: Required. Linked service reference.
     :type linked_service_name:
      ~azure.mgmt.datafactory.models.LinkedServiceReference
@@ -63,6 +67,7 @@ class AzureBlobDataset(Dataset):
         'additional_properties': {'key': '', 'type': '{object}'},
         'description': {'key': 'description', 'type': 'str'},
         'structure': {'key': 'structure', 'type': 'object'},
+        'schema': {'key': 'schema', 'type': 'object'},
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
@@ -75,8 +80,8 @@ class AzureBlobDataset(Dataset):
         'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
     }
 
-    def __init__(self, *, linked_service_name, additional_properties=None, description: str=None, structure=None, parameters=None, annotations=None, folder=None, folder_path=None, table_root_location=None, file_name=None, format=None, compression=None, **kwargs) -> None:
-        super(AzureBlobDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
+    def __init__(self, *, linked_service_name, additional_properties=None, description: str=None, structure=None, schema=None, parameters=None, annotations=None, folder=None, folder_path=None, table_root_location=None, file_name=None, format=None, compression=None, **kwargs) -> None:
+        super(AzureBlobDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
         self.folder_path = folder_path
         self.table_root_location = table_root_location
         self.file_name = file_name

azure-mgmt-datafactory/azure/mgmt/datafactory/models/azure_data_lake_store_dataset.py

@@ -25,6 +25,10 @@ class AzureDataLakeStoreDataset(Dataset):
     :param structure: Columns that define the structure of the dataset. Type:
      array (or Expression with resultType array), itemType: DatasetDataElement.
     :type structure: object
+    :param schema: Columns that define the physical type schema of the
+     dataset. Type: array (or Expression with resultType array), itemType:
+     DatasetSchemaDataElement.
+    :type schema: object
     :param linked_service_name: Required. Linked service reference.
     :type linked_service_name:
      ~azure.mgmt.datafactory.models.LinkedServiceReference
@@ -62,6 +66,7 @@ class AzureDataLakeStoreDataset(Dataset):
         'additional_properties': {'key': '', 'type': '{object}'},
         'description': {'key': 'description', 'type': 'str'},
         'structure': {'key': 'structure', 'type': 'object'},
+        'schema': {'key': 'schema', 'type': 'object'},
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},