[AutoPR datafactory/resource-manager] [Datafactory] Add folders to Pipeline and Dataset

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

@@ -29,14 +29,17 @@
     from .update_integration_runtime_request_py3 import UpdateIntegrationRuntimeRequest
     from .update_integration_runtime_node_request_py3 import UpdateIntegrationRuntimeNodeRequest
     from .linked_integration_runtime_request_py3 import LinkedIntegrationRuntimeRequest
+    from .create_linked_integration_runtime_request_py3 import CreateLinkedIntegrationRuntimeRequest
     from .parameter_specification_py3 import ParameterSpecification
     from .linked_service_py3 import LinkedService
     from .linked_service_resource_py3 import LinkedServiceResource
+    from .dataset_folder_py3 import DatasetFolder
     from .dataset_py3 import Dataset
     from .dataset_resource_py3 import DatasetResource
     from .activity_dependency_py3 import ActivityDependency
     from .user_property_py3 import UserProperty
     from .activity_py3 import Activity
+    from .pipeline_folder_py3 import PipelineFolder
     from .pipeline_resource_py3 import PipelineResource
     from .trigger_py3 import Trigger
     from .trigger_resource_py3 import TriggerResource
@@ -364,14 +367,17 @@
     from .update_integration_runtime_request import UpdateIntegrationRuntimeRequest
     from .update_integration_runtime_node_request import UpdateIntegrationRuntimeNodeRequest
     from .linked_integration_runtime_request import LinkedIntegrationRuntimeRequest
+    from .create_linked_integration_runtime_request import CreateLinkedIntegrationRuntimeRequest
     from .parameter_specification import ParameterSpecification
     from .linked_service import LinkedService
     from .linked_service_resource import LinkedServiceResource
+    from .dataset_folder import DatasetFolder
     from .dataset import Dataset
     from .dataset_resource import DatasetResource
     from .activity_dependency import ActivityDependency
     from .user_property import UserProperty
     from .activity import Activity
+    from .pipeline_folder import PipelineFolder
     from .pipeline_resource import PipelineResource
     from .trigger import Trigger
     from .trigger_resource import TriggerResource
@@ -767,14 +773,17 @@
     'UpdateIntegrationRuntimeRequest',
     'UpdateIntegrationRuntimeNodeRequest',
     'LinkedIntegrationRuntimeRequest',
+    'CreateLinkedIntegrationRuntimeRequest',
     'ParameterSpecification',
     'LinkedService',
     'LinkedServiceResource',
+    'DatasetFolder',
     'Dataset',
     'DatasetResource',
     'ActivityDependency',
     'UserProperty',
     'Activity',
+    'PipelineFolder',
     'PipelineResource',
     'Trigger',
     'TriggerResource',

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

@@ -34,6 +34,9 @@ class AmazonMWSObjectDataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     """
@@ -50,6 +53,7 @@ class AmazonMWSObjectDataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
     }
 

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

@@ -34,6 +34,9 @@ class AmazonMWSObjectDataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     """
@@ -50,9 +53,10 @@ class AmazonMWSObjectDataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
     }
 
-    def __init__(self, *, linked_service_name, additional_properties=None, description: str=None, structure=None, parameters=None, annotations=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, **kwargs)
+    def __init__(self, *, linked_service_name, additional_properties=None, description: str=None, structure=None, parameters=None, annotations=None, folder=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)
         self.type = 'AmazonMWSObject'

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

@@ -34,6 +34,9 @@ class AmazonS3Dataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     :param bucket_name: Required. The name of the Amazon S3 bucket. Type:
@@ -68,6 +71,7 @@ class AmazonS3Dataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
         'bucket_name': {'key': 'typeProperties.bucketName', 'type': 'object'},
         'key': {'key': 'typeProperties.key', 'type': 'object'},

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

@@ -34,6 +34,9 @@ class AmazonS3Dataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     :param bucket_name: Required. The name of the Amazon S3 bucket. Type:
@@ -68,6 +71,7 @@ class AmazonS3Dataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
         'bucket_name': {'key': 'typeProperties.bucketName', 'type': 'object'},
         'key': {'key': 'typeProperties.key', 'type': 'object'},
@@ -77,8 +81,8 @@ 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, 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, **kwargs)
+    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)
         self.bucket_name = bucket_name
         self.key = key
         self.prefix = prefix

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

@@ -34,6 +34,9 @@ class AzureBlobDataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     :param folder_path: The path of the Azure Blob storage. Type: string (or
@@ -63,6 +66,7 @@ class AzureBlobDataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
         'folder_path': {'key': 'typeProperties.folderPath', 'type': 'object'},
         'table_root_location': {'key': 'typeProperties.tableRootLocation', 'type': 'object'},

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

@@ -34,6 +34,9 @@ class AzureBlobDataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     :param folder_path: The path of the Azure Blob storage. Type: string (or
@@ -63,6 +66,7 @@ class AzureBlobDataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
         'folder_path': {'key': 'typeProperties.folderPath', 'type': 'object'},
         'table_root_location': {'key': 'typeProperties.tableRootLocation', 'type': 'object'},
@@ -71,8 +75,8 @@ 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_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, **kwargs)
+    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)
         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

@@ -34,6 +34,9 @@ class AzureDataLakeStoreDataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     :param folder_path: Required. Path to the folder in the Azure Data Lake
@@ -62,6 +65,7 @@ class AzureDataLakeStoreDataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
         'folder_path': {'key': 'typeProperties.folderPath', 'type': 'object'},
         'file_name': {'key': 'typeProperties.fileName', 'type': 'object'},

azure-mgmt-datafactory/azure/mgmt/datafactory/models/azure_data_lake_store_dataset_py3.py

@@ -34,6 +34,9 @@ class AzureDataLakeStoreDataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     :param folder_path: Required. Path to the folder in the Azure Data Lake
@@ -62,15 +65,16 @@ class AzureDataLakeStoreDataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
         'folder_path': {'key': 'typeProperties.folderPath', 'type': 'object'},
         'file_name': {'key': 'typeProperties.fileName', 'type': 'object'},
         'format': {'key': 'typeProperties.format', 'type': 'DatasetStorageFormat'},
         'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
     }
 
-    def __init__(self, *, linked_service_name, folder_path, additional_properties=None, description: str=None, structure=None, parameters=None, annotations=None, file_name=None, format=None, compression=None, **kwargs) -> None:
-        super(AzureDataLakeStoreDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, **kwargs)
+    def __init__(self, *, linked_service_name, folder_path, additional_properties=None, description: str=None, structure=None, parameters=None, annotations=None, folder=None, file_name=None, format=None, compression=None, **kwargs) -> None:
+        super(AzureDataLakeStoreDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
         self.folder_path = folder_path
         self.file_name = file_name
         self.format = format

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

@@ -34,6 +34,9 @@ class AzureMySqlTableDataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     :param table_name: The Azure MySQL database table name. Type: string (or
@@ -53,6 +56,7 @@ class AzureMySqlTableDataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
         'table_name': {'key': 'typeProperties.tableName', 'type': 'object'},
     }

azure-mgmt-datafactory/azure/mgmt/datafactory/models/azure_my_sql_table_dataset_py3.py

@@ -34,6 +34,9 @@ class AzureMySqlTableDataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     :param table_name: The Azure MySQL database table name. Type: string (or
@@ -53,11 +56,12 @@ class AzureMySqlTableDataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
         '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, table_name=None, **kwargs) -> None:
-        super(AzureMySqlTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, **kwargs)
+    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(AzureMySqlTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
         self.table_name = table_name
         self.type = 'AzureMySqlTable'

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

@@ -34,6 +34,9 @@ class AzurePostgreSqlTableDataset(Dataset):
     :param annotations: List of tags that can be used for describing the
      Dataset.
     :type annotations: list[object]
+    :param folder: The folder that this Dataset is in. If not specified,
+     Dataset will appear at the root level.
+    :type folder: ~azure.mgmt.datafactory.models.DatasetFolder
     :param type: Required. Constant filled by server.
     :type type: str
     """
@@ -50,6 +53,7 @@ class AzurePostgreSqlTableDataset(Dataset):
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
         'annotations': {'key': 'annotations', 'type': '[object]'},
+        'folder': {'key': 'folder', 'type': 'DatasetFolder'},
         'type': {'key': 'type', 'type': 'str'},
     }