def test_delete_autoscaling_policy(self): channel = ChannelStub() patch = mock.patch("google.api_core.grpc_helpers.create_channel") with patch as create_channel: create_channel.return_value = channel client = dataproc_v1beta2.AutoscalingPolicyServiceClient() # Setup Request name = client.autoscaling_policy_path("[PROJECT]", "[REGION]", "[AUTOSCALING_POLICY]") client.delete_autoscaling_policy(name) assert len(channel.requests) == 1 expected_request = autoscaling_policies_pb2.DeleteAutoscalingPolicyRequest( name=name) actual_request = channel.requests[0][1] assert expected_request == actual_request
def delete_autoscaling_policy( self, name, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Deletes an autoscaling policy. It is an error to delete an autoscaling policy that is in use by one or more clusters. Example: >>> from google.cloud import dataproc_v1beta2 >>> >>> client = dataproc_v1beta2.AutoscalingPolicyServiceClient() >>> >>> name = client.autoscaling_policy_path('[PROJECT]', '[REGION]', '[AUTOSCALING_POLICY]') >>> >>> client.delete_autoscaling_policy(name) Args: name (str): Required. The "resource name" of the autoscaling policy, as described in https://cloud.google.com/apis/design/resource\_names. - For ``projects.regions.autoscalingPolicies.delete``, the resource name of the policy has the following format: ``projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id}`` - For ``projects.locations.autoscalingPolicies.delete``, the resource name of the policy has the following format: ``projects/{project_id}/locations/{location}/autoscalingPolicies/{policy_id}`` retry (Optional[google.api_core.retry.Retry]): A retry object used to retry requests. If ``None`` is specified, requests will be retried using a default configuration. 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. 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 "delete_autoscaling_policy" not in self._inner_api_calls: self._inner_api_calls[ "delete_autoscaling_policy"] = google.api_core.gapic_v1.method.wrap_method( self.transport.delete_autoscaling_policy, default_retry=self. _method_configs["DeleteAutoscalingPolicy"].retry, default_timeout=self. _method_configs["DeleteAutoscalingPolicy"].timeout, client_info=self._client_info, ) request = autoscaling_policies_pb2.DeleteAutoscalingPolicyRequest( name=name) if metadata is None: metadata = [] metadata = list(metadata) try: routing_header = [("name", name)] except AttributeError: pass else: routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata( routing_header) metadata.append(routing_metadata) self._inner_api_calls["delete_autoscaling_policy"](request, retry=retry, timeout=timeout, metadata=metadata)