def test_list_data_sources(self): # Setup Expected Response next_page_token = '' data_sources_element = {} data_sources = [data_sources_element] expected_response = { 'next_page_token': next_page_token, 'data_sources': data_sources } expected_response = datatransfer_pb2.ListDataSourcesResponse( **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 = bigquery_datatransfer_v1.DataTransferServiceClient() # Setup Request parent = client.project_path('[PROJECT]') paged_list_response = client.list_data_sources(parent) resources = list(paged_list_response) assert len(resources) == 1 assert expected_response.data_sources[0] == resources[0] assert len(channel.requests) == 1 expected_request = datatransfer_pb2.ListDataSourcesRequest( parent=parent) actual_request = channel.requests[0][1] assert expected_request == actual_request
def test_list_data_sources(self): # Setup Expected Response next_page_token = '' data_sources_element = {} data_sources = [data_sources_element] expected_response = { 'next_page_token': next_page_token, 'data_sources': data_sources } expected_response = datatransfer_pb2.ListDataSourcesResponse( **expected_response) # Mock the API response channel = ChannelStub(responses=[expected_response]) client = bigquery_datatransfer_v1.DataTransferServiceClient( channel=channel) # Setup Request parent = client.project_path('[PROJECT]') paged_list_response = client.list_data_sources(parent) resources = list(paged_list_response) assert len(resources) == 1 assert expected_response.data_sources[0] == resources[0] assert len(channel.requests) == 1 expected_request = datatransfer_pb2.ListDataSourcesRequest( parent=parent) actual_request = channel.requests[0][1] assert expected_request == actual_request
def list_data_sources(self, parent, page_size=None, retry=google.api_core.gapic_v1.method.DEFAULT, timeout=google.api_core.gapic_v1.method.DEFAULT): """ Lists supported data sources and returns their settings, which can be used for UI rendering. Example: >>> from google.cloud import bigquery_datatransfer_v1 >>> >>> client = bigquery_datatransfer_v1.DataTransferServiceClient() >>> >>> parent = client.location_path('[PROJECT]', '[LOCATION]') >>> >>> >>> # Iterate over all results >>> for element in client.list_data_sources(parent): ... # process element ... pass >>> >>> # Or iterate over results one page at a time >>> for page in client.list_data_sources(parent, options=CallOptions(page_token=INITIAL_PAGE)): ... for element in page: ... # process element ... pass Args: parent (str): The BigQuery project id for which data sources should be returned. Must be in the form: ``projects/{project_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 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. Returns: A :class:`~google.gax.PageIterator` instance. By default, this is an iterable of :class:`~google.cloud.bigquery_datatransfer_v1.types.DataSource` instances. This object can also be configured to iterate over the pages of the response through the `options` parameter. 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. """ request = datatransfer_pb2.ListDataSourcesRequest(parent=parent, page_size=page_size) iterator = google.api_core.page_iterator.GRPCIterator( client=None, method=functools.partial(self._list_data_sources, retry=retry, timeout=timeout), request=request, items_field='data_sources', request_token_field='page_token', response_token_field='next_page_token') return iterator