def test_get_cluster(self): # Setup Expected Response project_id_2 = 'projectId2939242356' cluster_name_2 = 'clusterName2875867491' cluster_uuid = 'clusterUuid-1017854240' expected_response = { 'project_id': project_id_2, 'cluster_name': cluster_name_2, 'cluster_uuid': cluster_uuid } expected_response = clusters_pb2.Cluster(**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_v1.ClusterControllerClient() # Setup Request project_id = 'projectId-1969970175' region = 'region-934795532' cluster_name = 'clusterName-1018081872' response = client.get_cluster(project_id, region, cluster_name) assert expected_response == response assert len(channel.requests) == 1 expected_request = clusters_pb2.GetClusterRequest( project_id=project_id, region=region, cluster_name=cluster_name) actual_request = channel.requests[0][1] assert expected_request == actual_request
def get_cluster(self, project_id, region, cluster_name, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT): """ Gets the resource representation for a cluster in a project. Example: >>> from google.cloud import dataproc_v1 >>> >>> client = dataproc_v1.ClusterControllerClient() >>> >>> project_id = '' >>> region = '' >>> cluster_name = '' >>> >>> response = client.get_cluster(project_id, region, cluster_name) 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.Cluster` 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.GetClusterRequest( project_id=project_id, region=region, cluster_name=cluster_name, ) return self._get_cluster(request, retry=retry, timeout=timeout)
def get_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 the resource representation for a cluster in a project. 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.get_cluster(project_id, region, cluster_name) 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.Cluster` 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 "get_cluster" not in self._inner_api_calls: self._inner_api_calls[ "get_cluster"] = google.api_core.gapic_v1.method.wrap_method( self.transport.get_cluster, default_retry=self._method_configs["GetCluster"].retry, default_timeout=self._method_configs["GetCluster"].timeout, client_info=self._client_info, ) request = clusters_pb2.GetClusterRequest(project_id=project_id, region=region, cluster_name=cluster_name) return self._inner_api_calls["get_cluster"](request, retry=retry, timeout=timeout, metadata=metadata)