Пример #1
0
def test_list_plannable_products_flattened_error():
    client = ReachPlanServiceClient(
        credentials=ga_credentials.AnonymousCredentials(), )

    # Attempting to call a method with both a request object and flattened
    # fields is an error.
    with pytest.raises(ValueError):
        client.list_plannable_products(
            reach_plan_service.ListPlannableProductsRequest(),
            plannable_location_id=wrappers_pb2.StringValue(
                value='value_value'),
        )
Пример #2
0
def test_list_plannable_products(
        transport: str = 'grpc',
        request_type=reach_plan_service.ListPlannableProductsRequest):
    client = ReachPlanServiceClient(
        credentials=ga_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.list_plannable_products),
                           '__call__') as call:
        # Designate an appropriate return value for the call.
        call.return_value = reach_plan_service.ListPlannableProductsResponse()
        response = client.list_plannable_products(request)

        # Establish that the underlying gRPC stub method was called.
        assert len(call.mock_calls) == 1
        _, args, _ = call.mock_calls[0]
        assert args[0] == reach_plan_service.ListPlannableProductsRequest()

    # Establish that the response is the type that we expect.
    assert isinstance(response,
                      reach_plan_service.ListPlannableProductsResponse)
Пример #3
0
def test_list_plannable_products_flattened():
    client = ReachPlanServiceClient(
        credentials=ga_credentials.AnonymousCredentials(), )

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client.transport.list_plannable_products),
                           '__call__') as call:
        # Designate an appropriate return value for the call.
        call.return_value = reach_plan_service.ListPlannableProductsResponse()
        # Call the method with a truthy value for each flattened field,
        # using the keyword arguments to the method.
        client.list_plannable_products(
            plannable_location_id=wrappers_pb2.StringValue(
                value='value_value'), )

        # Establish that the underlying call was made with the expected
        # request object values.
        assert len(call.mock_calls) == 1
        _, args, _ = call.mock_calls[0]
        assert args[0].plannable_location_id == wrappers_pb2.StringValue(
            value='value_value')