def test_pause_job(self):
        # Setup Expected Response
        name_2 = "name2-1052831874"
        description = "description-1724546052"
        schedule = "schedule-697920873"
        time_zone = "timeZone36848094"
        expected_response = {
            "name": name_2,
            "description": description,
            "schedule": schedule,
            "time_zone": time_zone,
        }
        expected_response = job_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 = scheduler_v1beta1.CloudSchedulerClient()

        # Setup Request
        name = client.job_path("[PROJECT]", "[LOCATION]", "[JOB]")

        response = client.pause_job(name)
        assert expected_response == response

        assert len(channel.requests) == 1
        expected_request = cloudscheduler_pb2.PauseJobRequest(name=name)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
    def test_pause_job(self):
        # Setup Expected Response
        name_2 = 'name2-1052831874'
        description = 'description-1724546052'
        schedule = 'schedule-697920873'
        time_zone = 'timeZone36848094'
        expected_response = {
            'name': name_2,
            'description': description,
            'schedule': schedule,
            'time_zone': time_zone
        }
        expected_response = job_pb2.Job(**expected_response)

        # Mock the API response
        channel = ChannelStub(responses=[expected_response])
        client = scheduler_v1beta1.CloudSchedulerClient(channel=channel)

        # Setup Request
        name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')

        response = client.pause_job(name)
        assert expected_response == response

        assert len(channel.requests) == 1
        expected_request = cloudscheduler_pb2.PauseJobRequest(name=name)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
    def pause_job(
        self,
        name,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Pauses a job.

        If a job is paused then the system will stop executing the job until it
        is re-enabled via ``ResumeJob``. The state of the job is stored in
        ``state``; if paused it will be set to ``Job.State.PAUSED``. A job must
        be in ``Job.State.ENABLED`` to be paused.

        Example:
            >>> from google.cloud import scheduler_v1beta1
            >>>
            >>> client = scheduler_v1beta1.CloudSchedulerClient()
            >>>
            >>> name = client.job_path('[PROJECT]', '[LOCATION]', '[JOB]')
            >>>
            >>> response = client.pause_job(name)

        Args:
            name (str): Required. The job name. For example:
                ``projects/PROJECT_ID/locations/LOCATION_ID/jobs/JOB_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.

        Returns:
            A :class:`~google.cloud.scheduler_v1beta1.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 "pause_job" not in self._inner_api_calls:
            self._inner_api_calls[
                "pause_job"] = google.api_core.gapic_v1.method.wrap_method(
                    self.transport.pause_job,
                    default_retry=self._method_configs["PauseJob"].retry,
                    default_timeout=self._method_configs["PauseJob"].timeout,
                    client_info=self._client_info,
                )

        request = cloudscheduler_pb2.PauseJobRequest(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)

        return self._inner_api_calls["pause_job"](request,
                                                  retry=retry,
                                                  timeout=timeout,
                                                  metadata=metadata)