def test_update_workflow_template(self): # Setup Expected Response id_ = 'id3355' name = 'name3373707' version = 351608024 expected_response = {'id': id_, 'name': name, 'version': version} expected_response = workflow_templates_pb2.WorkflowTemplate( **expected_response) # Mock the API response channel = ChannelStub(responses=[expected_response]) client = dataproc_v1beta2.WorkflowTemplateServiceClient( channel=channel) # Setup Request template = {} response = client.update_workflow_template(template) assert expected_response == response assert len(channel.requests) == 1 expected_request = workflow_templates_pb2.UpdateWorkflowTemplateRequest( template=template) actual_request = channel.requests[0][1] assert expected_request == actual_request
def test_update_workflow_template(self): # Setup Expected Response id_ = "id3355" name = "name3373707" version = 351608024 expected_response = {"id": id_, "name": name, "version": version} expected_response = workflow_templates_pb2.WorkflowTemplate( **expected_response) # Mock the API response channel = ChannelStub(responses=[expected_response]) patch = mock.patch("google.api_core.grpc_helpers.create_channel") with patch as create_channel: create_channel.return_value = channel client = dataproc_v1beta2.WorkflowTemplateServiceClient() # Setup Request template = {} response = client.update_workflow_template(template) assert expected_response == response assert len(channel.requests) == 1 expected_request = workflow_templates_pb2.UpdateWorkflowTemplateRequest( template=template) actual_request = channel.requests[0][1] assert expected_request == actual_request
def update_workflow_template( self, template, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None): """ Updates (replaces) workflow template. The updated template must contain version that matches the current server version. Example: >>> from google.cloud import dataproc_v1beta2 >>> >>> client = dataproc_v1beta2.WorkflowTemplateServiceClient() >>> >>> # TODO: Initialize ``template``: >>> template = {} >>> >>> response = client.update_workflow_template(template) Args: template (Union[dict, ~google.cloud.dataproc_v1beta2.types.WorkflowTemplate]): Required. The updated workflow template. The ``template.version`` field must match the current version. If a dict is provided, it must be of the same form as the protobuf message :class:`~google.cloud.dataproc_v1beta2.types.WorkflowTemplate` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will not be retried. timeout (Optional[float]): The amount of time, in seconds, to wait for the request to complete. Note that if ``retry`` is specified, the timeout applies to each individual attempt. metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata that is provided to the method. Returns: A :class:`~google.cloud.dataproc_v1beta2.types.WorkflowTemplate` instance. Raises: google.api_core.exceptions.GoogleAPICallError: If the request failed for any reason. google.api_core.exceptions.RetryError: If the request failed due to a retryable error and retry attempts failed. ValueError: If the parameters are invalid. """ # Wrap the transport method to add retry and timeout logic. if 'update_workflow_template' not in self._inner_api_calls: self._inner_api_calls[ 'update_workflow_template'] = google.api_core.gapic_v1.method.wrap_method( self.transport.update_workflow_template, default_retry=self. _method_configs['UpdateWorkflowTemplate'].retry, default_timeout=self. _method_configs['UpdateWorkflowTemplate'].timeout, client_info=self._client_info, ) request = workflow_templates_pb2.UpdateWorkflowTemplateRequest( template=template, ) return self._inner_api_calls['update_workflow_template']( request, retry=retry, timeout=timeout, metadata=metadata)