def test_list_workflow_templates(self):
        # Setup Expected Response
        next_page_token = ""
        templates_element = {}
        templates = [templates_element]
        expected_response = {
            "next_page_token": next_page_token,
            "templates": templates
        }
        expected_response = workflow_templates_pb2.ListWorkflowTemplatesResponse(
            **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.WorkflowTemplateServiceClient()

        # Setup Request
        parent = client.region_path("[PROJECT]", "[REGION]")

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

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

        assert len(channel.requests) == 1
        expected_request = workflow_templates_pb2.ListWorkflowTemplatesRequest(
            parent=parent)
        actual_request = channel.requests[0][1]
        assert expected_request == actual_request
示例#2
0
    def list_workflow_templates(
        self,
        parent,
        page_size=None,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Lists workflows that match the specified filter in the request.

        Example:
            >>> from google.cloud import dataproc_v1
            >>>
            >>> client = dataproc_v1.WorkflowTemplateServiceClient()
            >>>
            >>> parent = client.region_path('[PROJECT]', '[REGION]')
            >>>
            >>> # Iterate over all results
            >>> for element in client.list_workflow_templates(parent):
            ...     # process element
            ...     pass
            >>>
            >>>
            >>> # Alternatively:
            >>>
            >>> # Iterate over results one page at a time
            >>> for page in client.list_workflow_templates(parent).pages:
            ...     for element in page:
            ...         # process element
            ...         pass

        Args:
            parent (str): Required. The resource name of the region or location, as described in
                https://cloud.google.com/apis/design/resource\_names.

                -  For ``projects.regions.workflowTemplates,list``, the resource name of
                   the region has the following format:
                   ``projects/{project_id}/regions/{region}``

                -  For ``projects.locations.workflowTemplates.list``, the resource name
                   of the location has the following format:
                   ``projects/{project_id}/locations/{location}``
            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.dataproc_v1.types.WorkflowTemplate` 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_workflow_templates" not in self._inner_api_calls:
            self._inner_api_calls[
                "list_workflow_templates"] = google.api_core.gapic_v1.method.wrap_method(
                    self.transport.list_workflow_templates,
                    default_retry=self.
                    _method_configs["ListWorkflowTemplates"].retry,
                    default_timeout=self.
                    _method_configs["ListWorkflowTemplates"].timeout,
                    client_info=self._client_info,
                )

        request = workflow_templates_pb2.ListWorkflowTemplatesRequest(
            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_workflow_templates"],
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            ),
            request=request,
            items_field="templates",
            request_token_field="page_token",
            response_token_field="next_page_token",
        )
        return iterator