コード例 #1
0
    def test_create_cluster(self):
        # Setup Expected Response
        project_id_2 = 'projectId2939242356'
        cluster_name = 'clusterName-1018081872'
        cluster_uuid = 'clusterUuid-1017854240'
        expected_response = {
            'project_id': project_id_2,
            'cluster_name': cluster_name,
            'cluster_uuid': cluster_uuid
        }
        expected_response = clusters_pb2.Cluster(**expected_response)
        operation = operations_pb2.Operation(
            name='operations/test_create_cluster', done=True)
        operation.response.Pack(expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[operation])
        client = dataproc_v1.ClusterControllerClient(channel=channel)

        # Setup Request
        project_id = 'projectId-1969970175'
        region = 'region-934795532'
        cluster = {}

        response = client.create_cluster(project_id, region, cluster)
        result = response.result()
        assert expected_response == result

        assert len(channel.requests) == 1
        expected_request = clusters_pb2.CreateClusterRequest(
            project_id=project_id, region=region, cluster=cluster)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
コード例 #2
0
    def test_create_cluster(self):
        # Setup Expected Response
        project_id_2 = "projectId2939242356"
        cluster_name = "clusterName-1018081872"
        cluster_uuid = "clusterUuid-1017854240"
        expected_response = {
            "project_id": project_id_2,
            "cluster_name": cluster_name,
            "cluster_uuid": cluster_uuid,
        }
        expected_response = clusters_pb2.Cluster(**expected_response)
        operation = operations_pb2.Operation(
            name="operations/test_create_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 = {}

        response = client.create_cluster(project_id, region, cluster)
        result = response.result()
        assert expected_response == result

        assert len(channel.requests) == 1
        expected_request = clusters_pb2.CreateClusterRequest(
            project_id=project_id, region=region, cluster=cluster
        )
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
コード例 #3
0
    def create_cluster(
        self,
        project_id,
        region,
        cluster,
        request_id=None,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Creates 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`:
            >>> cluster = {}
            >>>
            >>> response = client.create_cluster(project_id, region, cluster)
            >>>
            >>> 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 (Union[dict, ~google.cloud.dataproc_v1.types.Cluster]): Required. The cluster to create.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.dataproc_v1.types.Cluster`
            request_id (str): Optional. A unique id used to identify the request. If the server
                receives two ``CreateClusterRequest`` requests with the same id, then
                the second request will be ignored and the first
                ``google.longrunning.Operation`` created and stored in the backend is
                returned.

                It is recommended to always set this value to a
                `UUID <https://en.wikipedia.org/wiki/Universally_unique_identifier>`__.

                The id must contain only letters (a-z, A-Z), numbers (0-9), underscores
                (\_), and hyphens (-). The maximum length is 40 characters.
            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 "create_cluster" not in self._inner_api_calls:
            self._inner_api_calls[
                "create_cluster"] = google.api_core.gapic_v1.method.wrap_method(
                    self.transport.create_cluster,
                    default_retry=self._method_configs["CreateCluster"].retry,
                    default_timeout=self._method_configs["CreateCluster"].
                    timeout,
                    client_info=self._client_info,
                )

        request = clusters_pb2.CreateClusterRequest(project_id=project_id,
                                                    region=region,
                                                    cluster=cluster,
                                                    request_id=request_id)
        operation = self._inner_api_calls["create_cluster"](request,
                                                            retry=retry,
                                                            timeout=timeout,
                                                            metadata=metadata)
        return google.api_core.operation.from_gapic(
            operation,
            self.transport._operations_client,
            clusters_pb2.Cluster,
            metadata_type=proto_operations_pb2.ClusterOperationMetadata,
        )
コード例 #4
0
    def create_cluster(self,
                       project_id,
                       region,
                       cluster,
                       retry=google.api_core.gapic_v1.method.DEFAULT,
                       timeout=google.api_core.gapic_v1.method.DEFAULT,
                       metadata=None):
        """
        Creates 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`:
            >>> cluster = {}
            >>>
            >>> response = client.create_cluster(project_id, region, cluster)
            >>>
            >>> 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 (Union[dict, ~google.cloud.dataproc_v1.types.Cluster]): Required. The cluster to create.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.dataproc_v1.types.Cluster`
            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_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 'create_cluster' not in self._inner_api_calls:
            self._inner_api_calls[
                'create_cluster'] = google.api_core.gapic_v1.method.wrap_method(
                    self.transport.create_cluster,
                    default_retry=self._method_configs['CreateCluster'].retry,
                    default_timeout=self._method_configs['CreateCluster'].
                    timeout,
                    client_info=self._client_info,
                )

        request = clusters_pb2.CreateClusterRequest(
            project_id=project_id,
            region=region,
            cluster=cluster,
        )
        operation = self._inner_api_calls['create_cluster'](request,
                                                            retry=retry,
                                                            timeout=timeout,
                                                            metadata=metadata)
        return google.api_core.operation.from_gapic(
            operation,
            self.transport._operations_client,
            clusters_pb2.Cluster,
            metadata_type=proto_operations_pb2.ClusterOperationMetadata,
        )