Exemple #1
0
    def test_cancel_job(self):
        # Setup Expected Response
        driver_output_resource_uri = 'driverOutputResourceUri-542229086'
        driver_control_files_uri = 'driverControlFilesUri207057643'
        expected_response = {
            'driver_output_resource_uri': driver_output_resource_uri,
            'driver_control_files_uri': driver_control_files_uri
        }
        expected_response = jobs_pb2.Job(**expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[expected_response])
        client = dataproc_v1beta2.JobControllerClient(channel=channel)

        # Setup Request
        project_id = 'projectId-1969970175'
        region = 'region-934795532'
        job_id = 'jobId-1154752291'

        response = client.cancel_job(project_id, region, job_id)
        assert expected_response == response

        assert len(channel.requests) == 1
        expected_request = jobs_pb2.CancelJobRequest(project_id=project_id,
                                                     region=region,
                                                     job_id=job_id)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
    def test_cancel_job(self):
        # Setup Expected Response
        submitted_by = "submittedBy-2047729125"
        driver_output_resource_uri = "driverOutputResourceUri-542229086"
        driver_control_files_uri = "driverControlFilesUri207057643"
        job_uuid = "jobUuid-1615012099"
        expected_response = {
            "submitted_by": submitted_by,
            "driver_output_resource_uri": driver_output_resource_uri,
            "driver_control_files_uri": driver_control_files_uri,
            "job_uuid": job_uuid,
        }
        expected_response = jobs_pb2.Job(**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.JobControllerClient()

        # Setup Request
        project_id = "projectId-1969970175"
        region = "region-934795532"
        job_id = "jobId-1154752291"

        response = client.cancel_job(project_id, region, job_id)
        assert expected_response == response

        assert len(channel.requests) == 1
        expected_request = jobs_pb2.CancelJobRequest(
            project_id=project_id, region=region, job_id=job_id
        )
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
    def cancel_job(
        self,
        project_id,
        region,
        job_id,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Starts a job cancellation request. To access the job resource after
        cancellation, call
        `regions/{region}/jobs.list <https://cloud.google.com/dataproc/docs/reference/rest/v1beta2/projects.regions.jobs/list>`__
        or
        `regions/{region}/jobs.get <https://cloud.google.com/dataproc/docs/reference/rest/v1beta2/projects.regions.jobs/get>`__.

        Example:
            >>> from google.cloud import dataproc_v1beta2
            >>>
            >>> client = dataproc_v1beta2.JobControllerClient()
            >>>
            >>> # TODO: Initialize `project_id`:
            >>> project_id = ''
            >>>
            >>> # TODO: Initialize `region`:
            >>> region = ''
            >>>
            >>> # TODO: Initialize `job_id`:
            >>> job_id = ''
            >>>
            >>> response = client.cancel_job(project_id, region, job_id)

        Args:
            project_id (str): Required. The ID of the Google Cloud Platform project that the job
                belongs to.
            region (str): Required. The Cloud Dataproc region in which to handle the request.
            job_id (str): Required. The job ID.
            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.Job` 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 "cancel_job" not in self._inner_api_calls:
            self._inner_api_calls[
                "cancel_job"] = google.api_core.gapic_v1.method.wrap_method(
                    self.transport.cancel_job,
                    default_retry=self._method_configs["CancelJob"].retry,
                    default_timeout=self._method_configs["CancelJob"].timeout,
                    client_info=self._client_info,
                )

        request = jobs_pb2.CancelJobRequest(project_id=project_id,
                                            region=region,
                                            job_id=job_id)
        return self._inner_api_calls["cancel_job"](request,
                                                   retry=retry,
                                                   timeout=timeout,
                                                   metadata=metadata)