I'm a recovering IOC addict. I'm finding it hard to justify using IOC for DI in most cases these days. IOC containers sacrifice compile time checking and supposedly in return give you "easy" setup, complex lifetime management and on the fly discovering of dependencies at run time. I find the loss of compile time checking and resulting run time magic/exceptions, is not worth the bells and whistles in the vast majority of cases. In large enterprise applications they can make it very difficult to follow what is going on.

我不相信集中化的说法，因为你可以通过为你的应用程序使用一个抽象工厂，并虔诚地将对象创建推迟到抽象工厂，即进行适当的DI，来非常容易地集中静态设置。

为什么不像这样做静态无魔法DI:

interface IServiceA { }
interface IServiceB { }
class ServiceA : IServiceA { }
class ServiceB : IServiceB { }

class StubServiceA : IServiceA { }
class StubServiceB : IServiceB { }

interface IRoot { IMiddle Middle { get; set; } }
interface IMiddle { ILeaf Leaf { get; set; } }
interface ILeaf { }

class Root : IRoot
{
    public IMiddle Middle { get; set; }

    public Root(IMiddle middle)
    {
        Middle = middle;
    }

}

class Middle : IMiddle
{
    public ILeaf Leaf { get; set; }

    public Middle(ILeaf leaf)
    {
        Leaf = leaf;
    }
}

class Leaf : ILeaf
{
    IServiceA ServiceA { get; set; }
    IServiceB ServiceB { get; set; }

    public Leaf(IServiceA serviceA, IServiceB serviceB)
    {
        ServiceA = serviceA;
        ServiceB = serviceB;
    }
}


interface IApplicationFactory
{
    IRoot CreateRoot();
}

abstract class ApplicationAbstractFactory : IApplicationFactory
{
    protected abstract IServiceA ServiceA { get; }
    protected abstract IServiceB ServiceB { get; }

    protected IMiddle CreateMiddle()
    {
        return new Middle(CreateLeaf());
    }

    protected ILeaf CreateLeaf()
    {
        return new Leaf(ServiceA,ServiceB);
    }


    public IRoot CreateRoot()
    {
        return new Root(CreateMiddle());
    }
}

class ProductionApplication : ApplicationAbstractFactory
{
    protected override IServiceA ServiceA
    {
        get { return new ServiceA(); }
    }

    protected override IServiceB ServiceB
    {
        get { return new ServiceB(); }
    }
}

class FunctionalTestsApplication : ApplicationAbstractFactory
{
    protected override IServiceA ServiceA
    {
        get { return new StubServiceA(); }
    }

    protected override IServiceB ServiceB
    {
        get { return new StubServiceB(); }
    }
}


namespace ConsoleApplication5
{
    class Program
    {
        static void Main(string[] args)
        {
            var factory = new ProductionApplication();
            var root = factory.CreateRoot();

        }
    }

    //[TestFixture]
    class FunctionalTests
    {
        //[Test]
        public void Test()
        {
            var factory = new FunctionalTestsApplication();
            var root = factory.CreateRoot();
        }
    }
}

容器配置是抽象工厂实现，注册是抽象成员的实现。 如果您需要一个新的单例依赖项，只需向抽象工厂添加另一个抽象属性即可。如果你需要一个瞬态依赖，只需添加另一个方法并将其作为Func<>注入即可。

优点:

所有的设置和对象创建配置都是集中的。 配置只是代码 编译时检查使其易于维护，因为您不会忘记更新注册。 没有运行时反射魔法

我建议持怀疑态度的人尝试下一个新项目，诚实地问问自己什么时候需要这种容器。稍后很容易引入IOC容器，因为您只是用IOC容器配置模块替换了一个工厂实现。

As you continue to decouple your classes and invert your dependencies, the classes continue to stay small and the "dependency graph" continues to grow in size. (This isn't bad.) Using basic features of an IoC container makes wiring up all these objects trivial, but doing it manually can get very burdensome. For example, what if I want to create a new instance of "Foo" but it needs a "Bar". And a "Bar" needs an "A", "B", and "C". And each of those need 3 other things, etc etc. (yes, I can't come up with good fake names :) ).

使用IoC容器为您构建对象图可以大大降低复杂性，并将其推到一次性配置中。我只需说“给我创建一个Foo”，它就会计算出构建一个Foo需要什么。

有些人将IoC容器用于更多的基础设施，这对于高级场景来说是很好的，但在这些情况下，我同意它会使新开发人员难以阅读和调试代码。

Ioc容器解决了一个你可能没有的问题，但这是一个很好的问题

http://kozmic.net/2012/10/23/ioc-container-solves-a-problem-you-might-not-have-but-its-a-nice-problem-to-have/

就我个人而言，我使用IoC作为我的应用程序的某种结构图(是的，我也喜欢StructureMap;))。这使得在测试期间用Moq实现代替我通常的接口实现变得很容易。创建一个测试设置可以像对我的ioc -框架进行一个新的初始化调用一样简单，用一个mock代替任何一个测试边界类。

这可能不是IoC存在的目的，但这是我发现自己使用它最多的地方。

我支持你，瓦迪姆。IoC容器采用了一个简单、优雅且有用的概念，并使其成为您需要用200页手册学习两天的东西。

我个人很困惑，为什么IoC社区把Martin Fowler写的一篇漂亮、优雅的文章变成了一堆复杂的框架，通常只有200-300页的手册。

我尽量不去评判(哈哈!)，但我认为使用IoC容器的人(A)非常聪明，(B)对不如他们聪明的人缺乏同理心。对他们来说，每件事都很有意义，所以他们很难理解许多普通程序员会感到困惑的概念。这是知识的诅咒。理解IoC容器的人很难相信还有人不理解它。

The most valuable benefit of using an IoC container is that you can have a configuration switch in one place which lets you change between, say, test mode and production mode. For example, suppose you have two versions of your database access classes... one version which logged aggressively and did a lot of validation, which you used during development, and another version without logging or validation that was screamingly fast for production. It is nice to be able to switch between them in one place. On the other hand, this is a fairly trivial problem easily handled in a simpler way without the complexity of IoC containers.

我相信如果您使用IoC容器，您的代码将变得(坦白地说)难以阅读。为了弄清楚代码要做什么，您必须查看的地方的数量至少增加了一个。在天堂的某个地方，一位天使在呼喊。

都快三年了，是吧?

在支持IoC框架的评论中，有50%的人不理解IoC和IoC框架之间的区别。我怀疑他们是否知道无需部署到应用服务器就可以编写代码 如果我们以最流行的Java Spring框架为例，IoC配置从XMl转移到代码中，现在看起来是这样的

“@ configuration 公共类AppConfig {

public @Bean TransferService transferService() {
    return new TransferServiceImpl(accountRepository());
}

public @Bean AccountRepository accountRepository() {
    return new InMemoryAccountRepository();
}

｝ ｀ 我们需要一个框架来做这件事，为什么?