def test_query_time_series_pages(): client = QueryServiceClient(credentials=credentials.AnonymousCredentials, ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.query_time_series), "__call__") as call: # Set the response to a series of pages. call.side_effect = ( metric_service.QueryTimeSeriesResponse( time_series_data=[ metric.TimeSeriesData(), metric.TimeSeriesData(), metric.TimeSeriesData(), ], next_page_token="abc", ), metric_service.QueryTimeSeriesResponse( time_series_data=[], next_page_token="def", ), metric_service.QueryTimeSeriesResponse( time_series_data=[ metric.TimeSeriesData(), ], next_page_token="ghi", ), metric_service.QueryTimeSeriesResponse(time_series_data=[ metric.TimeSeriesData(), metric.TimeSeriesData(), ], ), RuntimeError, ) pages = list(client.query_time_series(request={}).pages) for page_, token in zip(pages, ["abc", "def", "ghi", ""]): assert page_.raw_page.next_page_token == token
async def test_query_time_series_field_headers_async(): client = QueryServiceAsyncClient( credentials=credentials.AnonymousCredentials(), ) # Any value that is part of the HTTP/1.1 URI should be sent as # a field header. Set these to a non-empty value. request = metric_service.QueryTimeSeriesRequest() request.name = "name/value" # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.query_time_series), "__call__") as call: call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( metric_service.QueryTimeSeriesResponse()) await client.query_time_series(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == request # Establish that the field header was sent. _, _, kw = call.mock_calls[0] assert ( "x-goog-request-params", "name=name/value", ) in kw["metadata"]
async def test_query_time_series_async( transport: str = "grpc_asyncio", request_type=metric_service.QueryTimeSeriesRequest): client = QueryServiceAsyncClient( credentials=credentials.AnonymousCredentials(), transport=transport, ) # Everything is optional in proto3 as far as the runtime is concerned, # and we are mocking out the actual API, so just send an empty request. request = request_type() # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.query_time_series), "__call__") as call: # Designate an appropriate return value for the call. call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( metric_service.QueryTimeSeriesResponse( next_page_token="next_page_token_value", )) response = await client.query_time_series(request) # Establish that the underlying gRPC stub method was called. assert len(call.mock_calls) _, args, _ = call.mock_calls[0] assert args[0] == metric_service.QueryTimeSeriesRequest() # Establish that the response is the type that we expect. assert isinstance(response, pagers.QueryTimeSeriesAsyncPager) assert response.next_page_token == "next_page_token_value"
async def test_query_time_series_async_pager(): client = QueryServiceAsyncClient( credentials=credentials.AnonymousCredentials, ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object( type(client.transport.query_time_series), "__call__", new_callable=mock.AsyncMock, ) as call: # Set the response to a series of pages. call.side_effect = ( metric_service.QueryTimeSeriesResponse( time_series_data=[ metric.TimeSeriesData(), metric.TimeSeriesData(), metric.TimeSeriesData(), ], next_page_token="abc", ), metric_service.QueryTimeSeriesResponse( time_series_data=[], next_page_token="def", ), metric_service.QueryTimeSeriesResponse( time_series_data=[ metric.TimeSeriesData(), ], next_page_token="ghi", ), metric_service.QueryTimeSeriesResponse(time_series_data=[ metric.TimeSeriesData(), metric.TimeSeriesData(), ], ), RuntimeError, ) async_pager = await client.query_time_series(request={}, ) assert async_pager.next_page_token == "abc" responses = [] async for response in async_pager: responses.append(response) assert len(responses) == 6 assert all(isinstance(i, metric.TimeSeriesData) for i in responses)
def test_query_time_series_pager(): client = QueryServiceClient(credentials=credentials.AnonymousCredentials, ) # Mock the actual call within the gRPC stub, and fake the request. with mock.patch.object(type(client.transport.query_time_series), "__call__") as call: # Set the response to a series of pages. call.side_effect = ( metric_service.QueryTimeSeriesResponse( time_series_data=[ metric.TimeSeriesData(), metric.TimeSeriesData(), metric.TimeSeriesData(), ], next_page_token="abc", ), metric_service.QueryTimeSeriesResponse( time_series_data=[], next_page_token="def", ), metric_service.QueryTimeSeriesResponse( time_series_data=[ metric.TimeSeriesData(), ], next_page_token="ghi", ), metric_service.QueryTimeSeriesResponse(time_series_data=[ metric.TimeSeriesData(), metric.TimeSeriesData(), ], ), RuntimeError, ) metadata = () metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata( (("name", ""), )), ) pager = client.query_time_series(request={}) assert pager._metadata == metadata results = [i for i in pager] assert len(results) == 6 assert all(isinstance(i, metric.TimeSeriesData) for i in results)