示例#1
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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']
示例#2
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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=wrappers_pb2.Int32Value(value=541)),
            planned_products=[
                reach_plan_service.PlannedProduct(
                    plannable_product_code=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].customer_id == 'customer_id_value'
        assert args[
            0].campaign_duration == reach_plan_service.CampaignDuration(
                duration_in_days=wrappers_pb2.Int32Value(value=541))
        assert args[0].planned_products == [
            reach_plan_service.PlannedProduct(
                plannable_product_code=wrappers_pb2.StringValue(
                    value='value_value'))
        ]
示例#3
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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)
示例#4
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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=wrappers_pb2.Int32Value(value=541)),
            planned_products=[
                reach_plan_service.PlannedProduct(
                    plannable_product_code=wrappers_pb2.StringValue(
                        value='value_value'))
            ],
        )