使用 IoC 进行单元测试

如何使用 IoC 容器进行单元测试?在使用 IoC 的大型解决方案(50多个项目)中管理模拟是否有用?有什么经历吗?任何 C # 库在单元测试中都能很好地使用它吗?

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Generally speaking, a DI Container should not be necessary for unit testing because unit testing is all about separating responsibilities.

Consider a class that uses Constructor Injection

public MyClass(IMyDependency dep) { }

In your entire application, it may be that there's a huge dependency graph hidden behind IMyDependency, but in a unit test, you flatten it all down to a single Test Double.

You can use dynamic mocks like Moq or RhinoMocks to generate the Test Double, but it is not required.

var dep = new Mock<IMyDependency>().Object;
var sut = new MyClass(dep);

In some cases, an auto-mocking container can be nice to have, but you don't need to use the same DI Container that the production application uses.

How can a Ioc Container be used for unit testing?

IoC will enforce programming paradigms that will make unit testing in isolation (i.e. using mocks) easier: use of interfaces, no new(), no singletons...

But using the IoC container for testing is not really a requirement, it will just provide some facilities e.g. injection of mocks but you could do it manually.

Is it useful to manage mocks in a huge solution (50+ projects) using IoC?

I'm not sure what you mean by managing mocks using IoC. Anyway, IoC containers can usually do more than just injecting mocks when it comes to testing. And if you have decent IDE support that makes refactoring possible, why not using it?

Any experience?

Yes, on a huge solution, you need more than ever a non error-prone and refactoring-adverse solution (i.e. either through a type safe IoC container or good IDE support).

I often use an IoC container in my tests. Granted, they are not "unit tests" in the pure sense. IMO They are more BDDish and facilitate refactoring. Tests are there to give you confidence to refactor. Poorly written tests can be like pouring cement into your code.

Consider the following:

[TestFixture]
public class ImageGalleryFixture : ContainerWiredFixture
{
[Test]
public void Should_save_image()
{
container.ConfigureMockFor<IFileRepository>()
.Setup(r => r.Create(It.IsAny<IFile>()))
.Verifiable();


AddToGallery(new RequestWithRealFile());


container.VerifyMockFor<IFileRepository>();
}


private void AddToGallery(AddBusinessImage request)
{
container.Resolve<BusinessPublisher>().Consume(request);
}
}

There are several things that happen when adding an image to the gallery. The image is resized, a thumbnail is generated, and the files are stored on AmazonS3. By using a container I can more easily isolate just the behavior I want to test, which in this case is the persisting part.

An auto-mocking container extension comes in handy when using this technique: http://www.agileatwork.com/auto-mocking-unity-container-extension/

Using containers with ability to resolve unregistered/uknown services like SimpleInjector, DryIoc (its mine) can return mocks for not yet implemented interfaces.

Which means that you can start development with first simple implementation and its mocked dependencies, and replace them with real thing as you progress.