def test_apply_recommendation_field_headers():
    client = RecommendationServiceClient(
        credentials=ga_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 = recommendation_service.ApplyRecommendationRequest()

    request.customer_id = 'customer_id/value'

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client.transport.apply_recommendation),
                           '__call__') as call:
        call.return_value = recommendation_service.ApplyRecommendationResponse(
        )
        client.apply_recommendation(request)

        # Establish that the underlying gRPC stub method was called.
        assert len(call.mock_calls) == 1
        _, 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',
        'customer_id=customer_id/value',
    ) in kw['metadata']
def test_apply_recommendation_flattened():
    client = RecommendationServiceClient(
        credentials=ga_credentials.AnonymousCredentials(), )

    # Mock the actual call within the gRPC stub, and fake the request.
    with mock.patch.object(type(client.transport.apply_recommendation),
                           '__call__') as call:
        # Designate an appropriate return value for the call.
        call.return_value = recommendation_service.ApplyRecommendationResponse(
        )
        # Call the method with a truthy value for each flattened field,
        # using the keyword arguments to the method.
        client.apply_recommendation(
            customer_id='customer_id_value',
            operations=[
                recommendation_service.ApplyRecommendationOperation(
                    resource_name='resource_name_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].customer_id == 'customer_id_value'
        assert args[0].operations == [
            recommendation_service.ApplyRecommendationOperation(
                resource_name='resource_name_value')
        ]
def test_apply_recommendation_flattened_error():
    client = RecommendationServiceClient(
        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.apply_recommendation(
            recommendation_service.ApplyRecommendationRequest(),
            customer_id='customer_id_value',
            operations=[
                recommendation_service.ApplyRecommendationOperation(
                    resource_name='resource_name_value')
            ],
        )
def test_apply_recommendation(
        transport: str = 'grpc',
        request_type=recommendation_service.ApplyRecommendationRequest):
    client = RecommendationServiceClient(
        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.apply_recommendation),
                           '__call__') as call:
        # Designate an appropriate return value for the call.
        call.return_value = recommendation_service.ApplyRecommendationResponse(
        )
        response = client.apply_recommendation(request)

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

    # Establish that the response is the type that we expect.
    assert isinstance(response,
                      recommendation_service.ApplyRecommendationResponse)