def test_diagnose_cluster(self): # Setup Expected Response expected_response = {} expected_response = empty_pb2.Empty(**expected_response) operation = operations_pb2.Operation( name='operations/test_diagnose_cluster', done=True) operation.response.Pack(expected_response) # Mock the API response channel = ChannelStub(responses=[operation]) patch = mock.patch('google.api_core.grpc_helpers.create_channel') with patch as create_channel: create_channel.return_value = channel client = dataproc_v1.ClusterControllerClient() # Setup Request project_id = 'projectId-1969970175' region = 'region-934795532' cluster_name = 'clusterName-1018081872' response = client.diagnose_cluster(project_id, region, cluster_name) result = response.result() assert expected_response == result assert len(channel.requests) == 1 expected_request = clusters_pb2.DiagnoseClusterRequest( project_id=project_id, region=region, cluster_name=cluster_name) actual_request = channel.requests[0][1] assert expected_request == actual_request
def diagnose_cluster( self, project_id, region, cluster_name, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT, metadata=None, ): """ Gets cluster diagnostic information. After the operation completes, the Operation.response field contains ``DiagnoseClusterOutputLocation``. Example: >>> from google.cloud import dataproc_v1 >>> >>> client = dataproc_v1.ClusterControllerClient() >>> >>> # TODO: Initialize `project_id`: >>> project_id = '' >>> >>> # TODO: Initialize `region`: >>> region = '' >>> >>> # TODO: Initialize `cluster_name`: >>> cluster_name = '' >>> >>> response = client.diagnose_cluster(project_id, region, cluster_name) >>> >>> def callback(operation_future): ... # Handle result. ... result = operation_future.result() >>> >>> response.add_done_callback(callback) >>> >>> # Handle metadata. >>> metadata = response.metadata() Args: project_id (str): Required. The ID of the Google Cloud Platform project that the cluster belongs to. region (str): Required. The Cloud Dataproc region in which to handle the request. cluster_name (str): Required. The cluster name. 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. Returns: A :class:`~google.cloud.dataproc_v1.types._OperationFuture` 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 "diagnose_cluster" not in self._inner_api_calls: self._inner_api_calls[ "diagnose_cluster"] = google.api_core.gapic_v1.method.wrap_method( self.transport.diagnose_cluster, default_retry=self._method_configs["DiagnoseCluster"]. retry, default_timeout=self._method_configs["DiagnoseCluster"]. timeout, client_info=self._client_info, ) request = clusters_pb2.DiagnoseClusterRequest( project_id=project_id, region=region, cluster_name=cluster_name) operation = self._inner_api_calls["diagnose_cluster"]( request, retry=retry, timeout=timeout, metadata=metadata) return google.api_core.operation.from_gapic( operation, self.transport._operations_client, empty_pb2.Empty, metadata_type=clusters_pb2.DiagnoseClusterResults, )
def diagnose_cluster(self, project_id, region, cluster_name, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT): """ Gets cluster diagnostic information. After the operation completes, the Operation.response field contains ``DiagnoseClusterOutputLocation``. Example: >>> from google.cloud import dataproc_v1 >>> >>> client = dataproc_v1.ClusterControllerClient() >>> >>> project_id = '' >>> region = '' >>> cluster_name = '' >>> >>> response = client.diagnose_cluster(project_id, region, cluster_name) >>> >>> def callback(operation_future): ... # Handle result. ... result = operation_future.result() >>> >>> response.add_done_callback(callback) >>> >>> # Handle metadata. >>> metadata = response.metadata() Args: project_id (str): Required. The ID of the Google Cloud Platform project that the cluster belongs to. region (str): Required. The Cloud Dataproc region in which to handle the request. cluster_name (str): Required. The cluster name. 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. Returns: A :class:`~google.cloud.dataproc_v1.types._OperationFuture` 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. """ request = clusters_pb2.DiagnoseClusterRequest( project_id=project_id, region=region, cluster_name=cluster_name, ) operation = self._diagnose_cluster(request, retry=retry, timeout=timeout) return google.api_core.operation.from_gapic( operation, self.operations_client, empty_pb2.Empty, metadata_type=clusters_pb2.DiagnoseClusterResults, )