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"
def query_time_series( self, request: metric_service.QueryTimeSeriesRequest = None, *, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.QueryTimeSeriesPager: r"""Queries time series using Monitoring Query Language. This method does not require a Workspace. Args: request (google.cloud.monitoring_v3.types.QueryTimeSeriesRequest): The request object. The `QueryTimeSeries` request. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.monitoring_v3.services.query_service.pagers.QueryTimeSeriesPager: The QueryTimeSeries response. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. # Minor optimization to avoid making a copy if the user passes # in a metric_service.QueryTimeSeriesRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance(request, metric_service.QueryTimeSeriesRequest): request = metric_service.QueryTimeSeriesRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[self._transport.query_time_series] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Send the request. response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # This method is paged; wrap the response in a pager, which provides # an `__iter__` convenience method. response = pagers.QueryTimeSeriesPager( method=rpc, request=request, response=response, metadata=metadata, ) # Done; return the response. return response
async def query_time_series( self, request: metric_service.QueryTimeSeriesRequest = None, *, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> pagers.QueryTimeSeriesAsyncPager: r"""Queries time series using Monitoring Query Language. This method does not require a Workspace. Args: request (:class:`google.cloud.monitoring_v3.types.QueryTimeSeriesRequest`): The request object. The `QueryTimeSeries` request. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.cloud.monitoring_v3.services.query_service.pagers.QueryTimeSeriesAsyncPager: The QueryTimeSeries response. Iterating over this object will yield results and resolve additional pages automatically. """ # Create or coerce a protobuf request object. request = metric_service.QueryTimeSeriesRequest(request) # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = gapic_v1.method_async.wrap_method( self._client._transport.query_time_series, default_timeout=None, client_info=DEFAULT_CLIENT_INFO, ) # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)), ) # Send the request. response = await rpc(request, retry=retry, timeout=timeout, metadata=metadata,) # This method is paged; wrap the response in a pager, which provides # an `__aiter__` convenience method. response = pagers.QueryTimeSeriesAsyncPager( method=rpc, request=request, response=response, metadata=metadata, ) # Done; return the response. return response
def test_query_time_series_empty_call(): # This test is a coverage failsafe to make sure that totally empty calls, # i.e. request == None and no flattened fields passed, work. client = QueryServiceClient( credentials=credentials.AnonymousCredentials(), transport="grpc", ) # 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: client.query_time_series() call.assert_called() _, args, _ = call.mock_calls[0] assert args[0] == metric_service.QueryTimeSeriesRequest()
def __init__(self, method: Callable[..., metric_service.QueryTimeSeriesResponse], request: metric_service.QueryTimeSeriesRequest, response: metric_service.QueryTimeSeriesResponse, *, metadata: Sequence[Tuple[str, str]] = ()): """Instantiate the pager. Args: method (Callable): The method that was originally called, and which instantiated this pager. request (google.cloud.monitoring_v3.types.QueryTimeSeriesRequest): The initial request object. response (google.cloud.monitoring_v3.types.QueryTimeSeriesResponse): The initial response object. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. """ self._method = method self._request = metric_service.QueryTimeSeriesRequest(request) self._response = response self._metadata = metadata