def test_generate_reach_forecast_field_headers():
    client = ReachPlanServiceClient(
        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 = reach_plan_service.GenerateReachForecastRequest()

    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.generate_reach_forecast),
            '__call__') as call:
        call.return_value = reach_plan_service.GenerateReachForecastResponse()
        client.generate_reach_forecast(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_generate_reach_forecast_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.generate_reach_forecast),
            '__call__') as call:
        # Designate an appropriate return value for the call.
        call.return_value = reach_plan_service.GenerateReachForecastResponse()
        # Call the method with a truthy value for each flattened field,
        # using the keyword arguments to the method.
        client.generate_reach_forecast(
            customer_id='customer_id_value',
            campaign_duration=reach_plan_service.CampaignDuration(duration_in_days=1708),
            planned_products=[reach_plan_service.PlannedProduct(plannable_product_code='plannable_product_code_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].campaign_duration == reach_plan_service.CampaignDuration(duration_in_days=1708)
        assert args[0].planned_products == [reach_plan_service.PlannedProduct(plannable_product_code='plannable_product_code_value')]
def test_generate_reach_forecast_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.generate_reach_forecast(
            reach_plan_service.GenerateReachForecastRequest(),
            customer_id='customer_id_value',
            campaign_duration=reach_plan_service.CampaignDuration(duration_in_days=1708),
            planned_products=[reach_plan_service.PlannedProduct(plannable_product_code='plannable_product_code_value')],
        )
def test_generate_reach_forecast(transport: str = 'grpc', request_type=reach_plan_service.GenerateReachForecastRequest):
    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.generate_reach_forecast),
            '__call__') as call:
        # Designate an appropriate return value for the call.
        call.return_value = reach_plan_service.GenerateReachForecastResponse(
        )
        response = client.generate_reach_forecast(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.GenerateReachForecastRequest()

    # Establish that the response is the type that we expect.
    assert isinstance(response, reach_plan_service.GenerateReachForecastResponse)