[AutoPR machinelearningservices/resource-manager] Masable/update workspace

azure-mgmt-machinelearningservices/HISTORY.rst

@@ -0,0 +1,9 @@
+.. :changelog:
+
+Release History
+===============
+
+0.1.0 (1970-01-01)
+++++++++++++++++++
+
+* Initial Release

azure-mgmt-machinelearningservices/MANIFEST.in

@@ -0,0 +1,2 @@
+include *.rst
+include azure_bdist_wheel.py

azure-mgmt-machinelearningservices/README.rst

@@ -0,0 +1,49 @@
+Microsoft Azure SDK for Python
+==============================
+
+This is the Microsoft Azure MyService Management Client Library.
+
+Azure Resource Manager (ARM) is the next generation of management APIs that
+replace the old Azure Service Management (ASM).
+
+This package has been tested with Python 2.7, 3.4, 3.5, 3.6 and 3.7.
+
+For the older Azure Service Management (ASM) libraries, see
+`azure-servicemanagement-legacy <https://pypi.python.org/pypi/azure-servicemanagement-legacy>`__ library.
+
+For a more complete set of Azure libraries, see the `azure <https://pypi.python.org/pypi/azure>`__ bundle package.
+
+
+Compatibility
+=============
+
+**IMPORTANT**: If you have an earlier version of the azure package
+(version < 1.0), you should uninstall it before installing this package.
+
+You can check the version using pip:
+
+.. code:: shell
+
+    pip freeze
+
+If you see azure==0.11.0 (or any version below 1.0), uninstall it first:
+
+.. code:: shell
+
+    pip uninstall azure
+
+
+Usage
+=====
+
+For code examples, see `MyService Management
+<https://docs.microsoft.com/python/api/overview/azure/>`__
+on docs.microsoft.com.
+
+
+Provide Feedback
+================
+
+If you encounter any bugs or have suggestions, please file an issue in the
+`Issues <https://github.com/Azure/azure-sdk-for-python/issues>`__
+section of the project.

azure-mgmt-machinelearningservices/azure/__init__.py

@@ -0,0 +1 @@
+__import__('pkg_resources').declare_namespace(__name__)

azure-mgmt-machinelearningservices/azure/mgmt/__init__.py

@@ -0,0 +1 @@
+__import__('pkg_resources').declare_namespace(__name__)

azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/models/workspace.py

@@ -40,6 +40,9 @@ class Workspace(Resource):
     :ivar creation_time: The creation time of the machine learning workspace
      in ISO8601 format.
     :vartype creation_time: datetime
+    :param batchai_workspace: ARM id of the Batch AI workspace associated with
+     this workspace. This cannot be changed once the workspace has been created
+    :type batchai_workspace: str
     :param key_vault: ARM id of the key vault associated with this workspace.
      This cannot be changed once the workspace has been created
     :type key_vault: str
@@ -86,6 +89,7 @@ class Workspace(Resource):
         'description': {'key': 'properties.description', 'type': 'str'},
         'friendly_name': {'key': 'properties.friendlyName', 'type': 'str'},
         'creation_time': {'key': 'properties.creationTime', 'type': 'iso-8601'},
+        'batchai_workspace': {'key': 'properties.batchaiWorkspace', 'type': 'str'},
         'key_vault': {'key': 'properties.keyVault', 'type': 'str'},
         'application_insights': {'key': 'properties.applicationInsights', 'type': 'str'},
         'container_registry': {'key': 'properties.containerRegistry', 'type': 'str'},
@@ -100,6 +104,7 @@ def __init__(self, **kwargs):
         self.description = kwargs.get('description', None)
         self.friendly_name = kwargs.get('friendly_name', None)
         self.creation_time = None
+        self.batchai_workspace = kwargs.get('batchai_workspace', None)
         self.key_vault = kwargs.get('key_vault', None)
         self.application_insights = kwargs.get('application_insights', None)
         self.container_registry = kwargs.get('container_registry', None)

azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/models/workspace_py3.py

@@ -40,6 +40,9 @@ class Workspace(Resource):
     :ivar creation_time: The creation time of the machine learning workspace
      in ISO8601 format.
     :vartype creation_time: datetime
+    :param batchai_workspace: ARM id of the Batch AI workspace associated with
+     this workspace. This cannot be changed once the workspace has been created
+    :type batchai_workspace: str
     :param key_vault: ARM id of the key vault associated with this workspace.
      This cannot be changed once the workspace has been created
     :type key_vault: str
@@ -86,6 +89,7 @@ class Workspace(Resource):
         'description': {'key': 'properties.description', 'type': 'str'},
         'friendly_name': {'key': 'properties.friendlyName', 'type': 'str'},
         'creation_time': {'key': 'properties.creationTime', 'type': 'iso-8601'},
+        'batchai_workspace': {'key': 'properties.batchaiWorkspace', 'type': 'str'},
         'key_vault': {'key': 'properties.keyVault', 'type': 'str'},
         'application_insights': {'key': 'properties.applicationInsights', 'type': 'str'},
         'container_registry': {'key': 'properties.containerRegistry', 'type': 'str'},
@@ -94,12 +98,13 @@ class Workspace(Resource):
         'provisioning_state': {'key': 'properties.provisioningState', 'type': 'str'},
     }
 
-    def __init__(self, *, location: str=None, tags=None, description: str=None, friendly_name: str=None, key_vault: str=None, application_insights: str=None, container_registry: str=None, storage_account: str=None, discovery_url: str=None, **kwargs) -> None:
+    def __init__(self, *, location: str=None, tags=None, description: str=None, friendly_name: str=None, batchai_workspace: str=None, key_vault: str=None, application_insights: str=None, container_registry: str=None, storage_account: str=None, discovery_url: str=None, **kwargs) -> None:
         super(Workspace, self).__init__(location=location, tags=tags, **kwargs)
         self.workspace_id = None
         self.description = description
         self.friendly_name = friendly_name
         self.creation_time = None
+        self.batchai_workspace = batchai_workspace
         self.key_vault = key_vault
         self.application_insights = application_insights
         self.container_registry = container_registry

azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/operations/machine_learning_compute_operations.py

@@ -84,7 +84,7 @@ def internal_paging(next_link=None, raw=False):
 
             # Construct headers
             header_parameters = {}
-            header_parameters['Content-Type'] = 'application/json; charset=utf-8'
+            header_parameters['Accept'] = 'application/json'
             if self.config.generate_client_request_id:
                 header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
             if custom_headers:
@@ -93,9 +93,8 @@ def internal_paging(next_link=None, raw=False):
                 header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
 
             # Construct and send request
-            request = self._client.get(url, query_parameters)
-            response = self._client.send(
-                request, header_parameters, stream=False, **operation_config)
+            request = self._client.get(url, query_parameters, header_parameters)
+            response = self._client.send(request, stream=False, **operation_config)
 
             if response.status_code not in [200]:
                 raise models.MachineLearningServiceErrorException(self._deserialize, response)
@@ -153,7 +152,7 @@ def get(
 
         # Construct headers
         header_parameters = {}
-        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
+        header_parameters['Accept'] = 'application/json'
         if self.config.generate_client_request_id:
             header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
         if custom_headers:
@@ -162,8 +161,8 @@ def get(
             header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
 
         # Construct and send request
-        request = self._client.get(url, query_parameters)
-        response = self._client.send(request, header_parameters, stream=False, **operation_config)
+        request = self._client.get(url, query_parameters, header_parameters)
+        response = self._client.send(request, stream=False, **operation_config)
 
         if response.status_code not in [200]:
             raise models.MachineLearningServiceErrorException(self._deserialize, response)
@@ -199,6 +198,7 @@ def _create_or_update_initial(
 
         # Construct headers
         header_parameters = {}
+        header_parameters['Accept'] = 'application/json'
         header_parameters['Content-Type'] = 'application/json; charset=utf-8'
         if self.config.generate_client_request_id:
             header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
@@ -211,9 +211,8 @@ def _create_or_update_initial(
         body_content = self._serialize.body(parameters, 'ComputeResource')
 
         # Construct and send request
-        request = self._client.put(url, query_parameters)
-        response = self._client.send(
-            request, header_parameters, body_content, stream=False, **operation_config)
+        request = self._client.put(url, query_parameters, header_parameters, body_content)
+        response = self._client.send(request, stream=False, **operation_config)
 
         if response.status_code not in [200, 201]:
             raise models.MachineLearningServiceErrorException(self._deserialize, response)
@@ -320,7 +319,6 @@ def _delete_initial(
 
         # Construct headers
         header_parameters = {}
-        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
         if self.config.generate_client_request_id:
             header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
         if custom_headers:
@@ -329,8 +327,8 @@ def _delete_initial(
             header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
 
         # Construct and send request
-        request = self._client.delete(url, query_parameters)
-        response = self._client.send(request, header_parameters, stream=False, **operation_config)
+        request = self._client.delete(url, query_parameters, header_parameters)
+        response = self._client.send(request, stream=False, **operation_config)
 
         if response.status_code not in [200, 202]:
             raise models.MachineLearningServiceErrorException(self._deserialize, response)
@@ -433,7 +431,7 @@ def get_keys(
 
         # Construct headers
         header_parameters = {}
-        header_parameters['Content-Type'] = 'application/json; charset=utf-8'
+        header_parameters['Accept'] = 'application/json'
         if self.config.generate_client_request_id:
             header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
         if custom_headers:
@@ -442,8 +440,8 @@ def get_keys(
             header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
 
         # Construct and send request
-        request = self._client.post(url, query_parameters)
-        response = self._client.send(request, header_parameters, stream=False, **operation_config)
+        request = self._client.post(url, query_parameters, header_parameters)
+        response = self._client.send(request, stream=False, **operation_config)
 
         if response.status_code not in [200]:
             raise models.MachineLearningServiceErrorException(self._deserialize, response)

azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/operations/operations.py

@@ -68,7 +68,7 @@ def internal_paging(next_link=None, raw=False):
 
             # Construct headers
             header_parameters = {}
-            header_parameters['Content-Type'] = 'application/json; charset=utf-8'
+            header_parameters['Accept'] = 'application/json'
             if self.config.generate_client_request_id:
                 header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
             if custom_headers:
@@ -77,9 +77,8 @@ def internal_paging(next_link=None, raw=False):
                 header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
 
             # Construct and send request
-            request = self._client.get(url, query_parameters)
-            response = self._client.send(
-                request, header_parameters, stream=False, **operation_config)
+            request = self._client.get(url, query_parameters, header_parameters)
+            response = self._client.send(request, stream=False, **operation_config)
 
             if response.status_code not in [200]:
                 raise models.MachineLearningServiceErrorException(self._deserialize, response)