def test_list_jobs(self):
        # Setup Expected Response
        next_page_token = ""
        jobs_element = {}
        jobs = [jobs_element]
        expected_response = {"next_page_token": next_page_token, "jobs": jobs}
        expected_response = cloudscheduler_pb2.ListJobsResponse(**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
        parent = client.location_path("[PROJECT]", "[LOCATION]")

        paged_list_response = client.list_jobs(parent)
        resources = list(paged_list_response)
        assert len(resources) == 1

        assert expected_response.jobs[0] == resources[0]

        assert len(channel.requests) == 1
        expected_request = cloudscheduler_pb2.ListJobsRequest(parent=parent)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
    def test_list_jobs(self):
        # Setup Expected Response
        next_page_token = ''
        jobs_element = {}
        jobs = [jobs_element]
        expected_response = {'next_page_token': next_page_token, 'jobs': jobs}
        expected_response = cloudscheduler_pb2.ListJobsResponse(
            **expected_response)

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

        # Setup Request
        parent = client.location_path('[PROJECT]', '[LOCATION]')

        paged_list_response = client.list_jobs(parent)
        resources = list(paged_list_response)
        assert len(resources) == 1

        assert expected_response.jobs[0] == resources[0]

        assert len(channel.requests) == 1
        expected_request = cloudscheduler_pb2.ListJobsRequest(parent=parent)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
    def list_jobs(
        self,
        parent,
        page_size=None,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Lists jobs.

        Example:
            >>> from google.cloud import scheduler_v1beta1
            >>>
            >>> client = scheduler_v1beta1.CloudSchedulerClient()
            >>>
            >>> parent = client.location_path('[PROJECT]', '[LOCATION]')
            >>>
            >>> # Iterate over all results
            >>> for element in client.list_jobs(parent):
            ...     # process element
            ...     pass
            >>>
            >>>
            >>> # Alternatively:
            >>>
            >>> # Iterate over results one page at a time
            >>> for page in client.list_jobs(parent).pages:
            ...     for element in page:
            ...         # process element
            ...         pass

        Args:
            parent (str): Required. The location name. For example:
                ``projects/PROJECT_ID/locations/LOCATION_ID``.
            page_size (int): The maximum number of resources contained in the
                underlying API response. If page streaming is performed per-
                resource, this parameter does not affect the return value. If page
                streaming is performed per-page, this determines the maximum number
                of resources in a page.
            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.api_core.page_iterator.PageIterator` instance.
            An iterable of :class:`~google.cloud.scheduler_v1beta1.types.Job` instances.
            You can also iterate over the pages of the response
            using its `pages` property.

        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 "list_jobs" not in self._inner_api_calls:
            self._inner_api_calls[
                "list_jobs"] = google.api_core.gapic_v1.method.wrap_method(
                    self.transport.list_jobs,
                    default_retry=self._method_configs["ListJobs"].retry,
                    default_timeout=self._method_configs["ListJobs"].timeout,
                    client_info=self._client_info,
                )

        request = cloudscheduler_pb2.ListJobsRequest(parent=parent,
                                                     page_size=page_size)
        if metadata is None:
            metadata = []
        metadata = list(metadata)
        try:
            routing_header = [("parent", parent)]
        except AttributeError:
            pass
        else:
            routing_metadata = google.api_core.gapic_v1.routing_header.to_grpc_metadata(
                routing_header)
            metadata.append(routing_metadata)

        iterator = google.api_core.page_iterator.GRPCIterator(
            client=None,
            method=functools.partial(
                self._inner_api_calls["list_jobs"],
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            ),
            request=request,
            items_field="jobs",
            request_token_field="page_token",
            response_token_field="next_page_token",
        )
        return iterator