[AutoPR datafactory/resource-manager] Add new features to Swagger

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

@@ -26,9 +26,9 @@
 from .integration_runtime_status_list_response import IntegrationRuntimeStatusListResponse
 from .update_integration_runtime_request import UpdateIntegrationRuntimeRequest
 from .update_integration_runtime_node_request import UpdateIntegrationRuntimeNodeRequest
+from .parameter_specification import ParameterSpecification
 from .linked_service import LinkedService
 from .linked_service_resource import LinkedServiceResource
-from .parameter_specification import ParameterSpecification
 from .dataset import Dataset
 from .dataset_resource import DatasetResource
 from .activity_dependency import ActivityDependency
@@ -291,6 +291,7 @@
 from .copy_sink import CopySink
 from .copy_activity import CopyActivity
 from .execution_activity import ExecutionActivity
+from .filter_activity import FilterActivity
 from .until_activity import UntilActivity
 from .wait_activity import WaitActivity
 from .for_each_activity import ForEachActivity
@@ -407,9 +408,9 @@
     'IntegrationRuntimeStatusListResponse',
     'UpdateIntegrationRuntimeRequest',
     'UpdateIntegrationRuntimeNodeRequest',
+    'ParameterSpecification',
     'LinkedService',
     'LinkedServiceResource',
-    'ParameterSpecification',
     'Dataset',
     'DatasetResource',
     'ActivityDependency',
@@ -672,6 +673,7 @@
     'CopySink',
     'CopyActivity',
     'ExecutionActivity',
+    'FilterActivity',
     'UntilActivity',
     'WaitActivity',
     'ForEachActivity',

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

@@ -28,6 +28,9 @@ class ActivityPolicy(Model):
     :param retry_interval_in_seconds: Interval between each retry attempt (in
      seconds). The default is 30 sec.
     :type retry_interval_in_seconds: int
+    :param secure_output: When set to true, Output from activity is considered
+     as secure and will not be logged to monitoring.
+    :type secure_output: bool
     """
 
     _validation = {
@@ -39,11 +42,13 @@ class ActivityPolicy(Model):
         'timeout': {'key': 'timeout', 'type': 'object'},
         'retry': {'key': 'retry', 'type': 'object'},
         'retry_interval_in_seconds': {'key': 'retryIntervalInSeconds', 'type': 'int'},
+        'secure_output': {'key': 'secureOutput', 'type': 'bool'},
     }
 
-    def __init__(self, additional_properties=None, timeout=None, retry=None, retry_interval_in_seconds=None):
+    def __init__(self, additional_properties=None, timeout=None, retry=None, retry_interval_in_seconds=None, secure_output=None):
         super(ActivityPolicy, self).__init__()
         self.additional_properties = additional_properties
         self.timeout = timeout
         self.retry = retry
         self.retry_interval_in_seconds = retry_interval_in_seconds
+        self.secure_output = secure_output

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

@@ -23,6 +23,12 @@ class AmazonMWSLinkedService(LinkedService):
      ~azure.mgmt.datafactory.models.IntegrationRuntimeReference
     :param description: Linked service description.
     :type description: str
+    :param parameters: Parameters for linked service.
+    :type parameters: dict[str,
+     ~azure.mgmt.datafactory.models.ParameterSpecification]
+    :param annotations: List of tags that can be used for describing the
+     Dataset.
+    :type annotations: list[object]
     :param type: Constant filled by server.
     :type type: str
     :param endpoint: The endpoint of the Amazon MWS server, (i.e.
@@ -68,6 +74,8 @@ class AmazonMWSLinkedService(LinkedService):
         'additional_properties': {'key': '', 'type': '{object}'},
         'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
         'description': {'key': 'description', 'type': 'str'},
+        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
+        'annotations': {'key': 'annotations', 'type': '[object]'},
         'type': {'key': 'type', 'type': 'str'},
         'endpoint': {'key': 'typeProperties.endpoint', 'type': 'object'},
         'marketplace_id': {'key': 'typeProperties.marketplaceID', 'type': 'object'},
@@ -81,8 +89,8 @@ class AmazonMWSLinkedService(LinkedService):
         'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
     }
 
-    def __init__(self, endpoint, marketplace_id, seller_id, access_key_id, additional_properties=None, connect_via=None, description=None, mws_auth_token=None, secret_key=None, use_encrypted_endpoints=None, use_host_verification=None, use_peer_verification=None, encrypted_credential=None):
-        super(AmazonMWSLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description)
+    def __init__(self, endpoint, marketplace_id, seller_id, access_key_id, additional_properties=None, connect_via=None, description=None, parameters=None, annotations=None, mws_auth_token=None, secret_key=None, use_encrypted_endpoints=None, use_host_verification=None, use_peer_verification=None, encrypted_credential=None):
+        super(AmazonMWSLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations)
         self.endpoint = endpoint
         self.marketplace_id = marketplace_id
         self.seller_id = seller_id

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

@@ -29,6 +29,9 @@ class AmazonMWSObjectDataset(Dataset):
     :param parameters: Parameters for dataset.
     :type parameters: dict[str,
      ~azure.mgmt.datafactory.models.ParameterSpecification]
+    :param annotations: List of tags that can be used for describing the
+     Dataset.
+    :type annotations: list[object]
     :param type: Constant filled by server.
     :type type: str
     """
@@ -38,6 +41,6 @@ class AmazonMWSObjectDataset(Dataset):
         'type': {'required': True},
     }
 
-    def __init__(self, linked_service_name, additional_properties=None, description=None, structure=None, parameters=None):
-        super(AmazonMWSObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters)
+    def __init__(self, linked_service_name, additional_properties=None, description=None, structure=None, parameters=None, annotations=None):
+        super(AmazonMWSObjectDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations)
         self.type = 'AmazonMWSObject'

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

@@ -23,6 +23,12 @@ class AmazonRedshiftLinkedService(LinkedService):
      ~azure.mgmt.datafactory.models.IntegrationRuntimeReference
     :param description: Linked service description.
     :type description: str
+    :param parameters: Parameters for linked service.
+    :type parameters: dict[str,
+     ~azure.mgmt.datafactory.models.ParameterSpecification]
+    :param annotations: List of tags that can be used for describing the
+     Dataset.
+    :type annotations: list[object]
     :param type: Constant filled by server.
     :type type: str
     :param server: The name of the Amazon Redshift server. Type: string (or
@@ -56,6 +62,8 @@ class AmazonRedshiftLinkedService(LinkedService):
         'additional_properties': {'key': '', 'type': '{object}'},
         'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
         'description': {'key': 'description', 'type': 'str'},
+        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
+        'annotations': {'key': 'annotations', 'type': '[object]'},
         'type': {'key': 'type', 'type': 'str'},
         'server': {'key': 'typeProperties.server', 'type': 'object'},
         'username': {'key': 'typeProperties.username', 'type': 'object'},
@@ -65,8 +73,8 @@ class AmazonRedshiftLinkedService(LinkedService):
         'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
     }
 
-    def __init__(self, server, database, additional_properties=None, connect_via=None, description=None, username=None, password=None, port=None, encrypted_credential=None):
-        super(AmazonRedshiftLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description)
+    def __init__(self, server, database, additional_properties=None, connect_via=None, description=None, parameters=None, annotations=None, username=None, password=None, port=None, encrypted_credential=None):
+        super(AmazonRedshiftLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations)
         self.server = server
         self.username = username
         self.password = password

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

@@ -29,6 +29,9 @@ class AmazonS3Dataset(Dataset):
     :param parameters: Parameters for dataset.
     :type parameters: dict[str,
      ~azure.mgmt.datafactory.models.ParameterSpecification]
+    :param annotations: List of tags that can be used for describing the
+     Dataset.
+    :type annotations: list[object]
     :param type: Constant filled by server.
     :type type: str
     :param bucket_name: The name of the Amazon S3 bucket. Type: string (or
@@ -62,6 +65,7 @@ class AmazonS3Dataset(Dataset):
         'structure': {'key': 'structure', 'type': 'object'},
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
+        'annotations': {'key': 'annotations', 'type': '[object]'},
         'type': {'key': 'type', 'type': 'str'},
         'bucket_name': {'key': 'typeProperties.bucketName', 'type': 'object'},
         'key': {'key': 'typeProperties.key', 'type': 'object'},
@@ -71,8 +75,8 @@ class AmazonS3Dataset(Dataset):
         'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
     }
 
-    def __init__(self, linked_service_name, bucket_name, additional_properties=None, description=None, structure=None, parameters=None, key=None, prefix=None, version=None, format=None, compression=None):
-        super(AmazonS3Dataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters)
+    def __init__(self, linked_service_name, bucket_name, additional_properties=None, description=None, structure=None, parameters=None, annotations=None, key=None, prefix=None, version=None, format=None, compression=None):
+        super(AmazonS3Dataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations)
         self.bucket_name = bucket_name
         self.key = key
         self.prefix = prefix

azure-mgmt-datafactory/azure/mgmt/datafactory/models/amazon_s3_linked_service.py

@@ -23,6 +23,12 @@ class AmazonS3LinkedService(LinkedService):
      ~azure.mgmt.datafactory.models.IntegrationRuntimeReference
     :param description: Linked service description.
     :type description: str
+    :param parameters: Parameters for linked service.
+    :type parameters: dict[str,
+     ~azure.mgmt.datafactory.models.ParameterSpecification]
+    :param annotations: List of tags that can be used for describing the
+     Dataset.
+    :type annotations: list[object]
     :param type: Constant filled by server.
     :type type: str
     :param access_key_id: The access key identifier of the Amazon S3 Identity
@@ -46,14 +52,16 @@ class AmazonS3LinkedService(LinkedService):
         'additional_properties': {'key': '', 'type': '{object}'},
         'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
         'description': {'key': 'description', 'type': 'str'},
+        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
+        'annotations': {'key': 'annotations', 'type': '[object]'},
         'type': {'key': 'type', 'type': 'str'},
         'access_key_id': {'key': 'typeProperties.accessKeyId', 'type': 'object'},
         'secret_access_key': {'key': 'typeProperties.secretAccessKey', 'type': 'SecretBase'},
         'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
     }
 
-    def __init__(self, additional_properties=None, connect_via=None, description=None, access_key_id=None, secret_access_key=None, encrypted_credential=None):
-        super(AmazonS3LinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description)
+    def __init__(self, additional_properties=None, connect_via=None, description=None, parameters=None, annotations=None, access_key_id=None, secret_access_key=None, encrypted_credential=None):
+        super(AmazonS3LinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations)
         self.access_key_id = access_key_id
         self.secret_access_key = secret_access_key
         self.encrypted_credential = encrypted_credential

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

@@ -23,6 +23,12 @@ class AzureBatchLinkedService(LinkedService):
      ~azure.mgmt.datafactory.models.IntegrationRuntimeReference
     :param description: Linked service description.
     :type description: str
+    :param parameters: Parameters for linked service.
+    :type parameters: dict[str,
+     ~azure.mgmt.datafactory.models.ParameterSpecification]
+    :param annotations: List of tags that can be used for describing the
+     Dataset.
+    :type annotations: list[object]
     :param type: Constant filled by server.
     :type type: str
     :param account_name: The Azure Batch account name. Type: string (or
@@ -57,6 +63,8 @@ class AzureBatchLinkedService(LinkedService):
         'additional_properties': {'key': '', 'type': '{object}'},
         'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
         'description': {'key': 'description', 'type': 'str'},
+        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
+        'annotations': {'key': 'annotations', 'type': '[object]'},
         'type': {'key': 'type', 'type': 'str'},
         'account_name': {'key': 'typeProperties.accountName', 'type': 'object'},
         'access_key': {'key': 'typeProperties.accessKey', 'type': 'SecretBase'},
@@ -66,8 +74,8 @@ class AzureBatchLinkedService(LinkedService):
         'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
     }
 
-    def __init__(self, account_name, batch_uri, pool_name, linked_service_name, additional_properties=None, connect_via=None, description=None, access_key=None, encrypted_credential=None):
-        super(AzureBatchLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description)
+    def __init__(self, account_name, batch_uri, pool_name, linked_service_name, additional_properties=None, connect_via=None, description=None, parameters=None, annotations=None, access_key=None, encrypted_credential=None):
+        super(AzureBatchLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations)
         self.account_name = account_name
         self.access_key = access_key
         self.batch_uri = batch_uri

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

@@ -29,6 +29,9 @@ class AzureBlobDataset(Dataset):
     :param parameters: Parameters for dataset.
     :type parameters: dict[str,
      ~azure.mgmt.datafactory.models.ParameterSpecification]
+    :param annotations: List of tags that can be used for describing the
+     Dataset.
+    :type annotations: list[object]
     :param type: Constant filled by server.
     :type type: str
     :param folder_path: The path of the Azure Blob storage. Type: string (or
@@ -57,6 +60,7 @@ class AzureBlobDataset(Dataset):
         'structure': {'key': 'structure', 'type': 'object'},
         'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
         'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
+        'annotations': {'key': 'annotations', 'type': '[object]'},
         'type': {'key': 'type', 'type': 'str'},
         'folder_path': {'key': 'typeProperties.folderPath', 'type': 'object'},
         'table_root_location': {'key': 'typeProperties.tableRootLocation', 'type': 'object'},
@@ -65,8 +69,8 @@ class AzureBlobDataset(Dataset):
         'compression': {'key': 'typeProperties.compression', 'type': 'DatasetCompression'},
     }
 
-    def __init__(self, linked_service_name, additional_properties=None, description=None, structure=None, parameters=None, folder_path=None, table_root_location=None, file_name=None, format=None, compression=None):
-        super(AzureBlobDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters)
+    def __init__(self, linked_service_name, additional_properties=None, description=None, structure=None, parameters=None, annotations=None, folder_path=None, table_root_location=None, file_name=None, format=None, compression=None):
+        super(AzureBlobDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations)
         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_analytics_linked_service.py

@@ -23,6 +23,12 @@ class AzureDataLakeAnalyticsLinkedService(LinkedService):
      ~azure.mgmt.datafactory.models.IntegrationRuntimeReference
     :param description: Linked service description.
     :type description: str
+    :param parameters: Parameters for linked service.
+    :type parameters: dict[str,
+     ~azure.mgmt.datafactory.models.ParameterSpecification]
+    :param annotations: List of tags that can be used for describing the
+     Dataset.
+    :type annotations: list[object]
     :param type: Constant filled by server.
     :type type: str
     :param account_name: The Azure Data Lake Analytics account name. Type:
@@ -65,6 +71,8 @@ class AzureDataLakeAnalyticsLinkedService(LinkedService):
         'additional_properties': {'key': '', 'type': '{object}'},
         'connect_via': {'key': 'connectVia', 'type': 'IntegrationRuntimeReference'},
         'description': {'key': 'description', 'type': 'str'},
+        'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
+        'annotations': {'key': 'annotations', 'type': '[object]'},
         'type': {'key': 'type', 'type': 'str'},
         'account_name': {'key': 'typeProperties.accountName', 'type': 'object'},
         'service_principal_id': {'key': 'typeProperties.servicePrincipalId', 'type': 'object'},
@@ -76,8 +84,8 @@ class AzureDataLakeAnalyticsLinkedService(LinkedService):
         'encrypted_credential': {'key': 'typeProperties.encryptedCredential', 'type': 'object'},
     }
 
-    def __init__(self, account_name, tenant, additional_properties=None, connect_via=None, description=None, service_principal_id=None, service_principal_key=None, subscription_id=None, resource_group_name=None, data_lake_analytics_uri=None, encrypted_credential=None):
-        super(AzureDataLakeAnalyticsLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description)
+    def __init__(self, account_name, tenant, additional_properties=None, connect_via=None, description=None, parameters=None, annotations=None, service_principal_id=None, service_principal_key=None, subscription_id=None, resource_group_name=None, data_lake_analytics_uri=None, encrypted_credential=None):
+        super(AzureDataLakeAnalyticsLinkedService, self).__init__(additional_properties=additional_properties, connect_via=connect_via, description=description, parameters=parameters, annotations=annotations)
         self.account_name = account_name
         self.service_principal_id = service_principal_id
         self.service_principal_key = service_principal_key