更新:

再次感谢你的例子,它们对我很有帮助,我并不是说 夺走他们的一切。

Aren't the currently given examples, as far as I understand them & state-machines, only half of what we usually understand by a state-machine? In the sense that the examples do change state but that's only represented by changing the value of a variable (and allowing different value- changes in different states), while usually, a state machine should also change its behavior, and behavior not (only) in the sense of allowing different value changes for a variable depending on the state, but in the sense of allowing different methods to be executed for different states.

还是我对状态机及其常用用法有误解?


最初的问题:

我发现了关于c#中的状态机和迭代器块的讨论,以及用于创建状态机和c#的工具,所以我发现了很多抽象的东西,但作为一个新手,所有这些都有点令人困惑。

因此,如果有人能提供一个c#源代码-示例,实现一个简单的状态机,可能只有3,4个状态,那就太好了,只是为了了解它的要点。


当前回答

当我使用像RabbitMQ或Rabbit这样的消息代理时,我也很难使用状态机。

我制作这个视频是为了帮助别人。

https://www.youtube.com/watch?v=Vwfngk0YhLs&t=11s&ab_channel=GarryTaylor

代码来自这个Github回购

https://github.com/welhell/masstransit-saga-example

其他回答

您可以编写一个迭代器块,使您能够以编排的方式执行代码块。代码块是如何分解的并不一定要对应于任何东西,这只是你想要如何编码它。例如:

IEnumerable<int> CountToTen()
{
    System.Console.WriteLine("1");
    yield return 0;
    System.Console.WriteLine("2");
    System.Console.WriteLine("3");
    System.Console.WriteLine("4");
    yield return 0;
    System.Console.WriteLine("5");
    System.Console.WriteLine("6");
    System.Console.WriteLine("7");
    yield return 0;
    System.Console.WriteLine("8");
    yield return 0;
    System.Console.WriteLine("9");
    System.Console.WriteLine("10");
}

在本例中,当调用CountToTen时,还没有实际执行任何东西。您得到的实际上是一个状态机生成器,您可以为它创建一个状态机的新实例。可以通过调用GetEnumerator()来实现。生成的IEnumerator实际上是一个状态机,您可以通过调用MoveNext(…)来驱动它。

因此,在本例中,第一次调用MoveNext(…)时,您将看到“1”写入控制台,下一次调用MoveNext(…)时,您将看到2、3、4,然后是5、6、7、8,然后是9、10。正如您所看到的,这是一种编排事情应该如何发生的有用机制。

您可能希望使用现有的开源有限状态机之一。例如,在http://code.google.com/p/bbvcommon/wiki/StateMachine找到的bbv.Common.StateMachine。它具有非常直观流畅的语法和许多特性,如进入/退出操作、转换操作、保护、分层、被动实现(在调用者的线程上执行)和主动实现(fsm运行在自己的线程上,事件被添加到队列中)。

以Juliets为例,状态机的定义非常简单:

var fsm = new PassiveStateMachine<ProcessState, Command>();
fsm.In(ProcessState.Inactive)
   .On(Command.Exit).Goto(ProcessState.Terminated).Execute(SomeTransitionAction)
   .On(Command.Begin).Goto(ProcessState.Active);
fsm.In(ProcessState.Active)
   .ExecuteOnEntry(SomeEntryAction)
   .ExecuteOnExit(SomeExitAction)
   .On(Command.End).Goto(ProcessState.Inactive)
   .On(Command.Pause).Goto(ProcessState.Paused);
fsm.In(ProcessState.Paused)
   .On(Command.End).Goto(ProcessState.Inactive).OnlyIf(SomeGuard)
   .On(Command.Resume).Goto(ProcessState.Active);
fsm.Initialize(ProcessState.Inactive);
fsm.Start();

fsm.Fire(Command.Begin);

更新:项目位置已移动到:https://github.com/appccelerate/statemachine

finitestatemmachine是一个简单的状态机,用c# Link编写

使用我的库finitestatemmachine的优点:

定义一个“context”类,向外界呈现一个单独的接口。 定义一个State抽象基类。 将状态机的不同“状态”表示为state基类的派生类。 在适当的State派生类中定义特定于状态的行为。 在“context”类中维护一个指向当前“state”的指针。 要更改状态机的状态,请更改当前的“state”指针。

下载DLL下载

LINQPad上的示例:

void Main()
{
            var machine = new SFM.Machine(new StatePaused());
            var output = machine.Command("Input_Start", Command.Start);
            Console.WriteLine(Command.Start.ToString() + "->  State: " + machine.Current);
            Console.WriteLine(output);

            output = machine.Command("Input_Pause", Command.Pause);
            Console.WriteLine(Command.Pause.ToString() + "->  State: " + machine.Current);
            Console.WriteLine(output);
            Console.WriteLine("-------------------------------------------------");
}
    public enum Command
    {
        Start,
        Pause,
    }

    public class StateActive : SFM.State
    {

        public override void Handle(SFM.IContext context)

        {
            //Gestione parametri
            var input = (String)context.Input;
            context.Output = input;

            //Gestione Navigazione
            if ((Command)context.Command == Command.Pause) context.Next = new StatePaused();
            if ((Command)context.Command == Command.Start) context.Next = this;

        }
    }


public class StatePaused : SFM.State
{

     public override void Handle(SFM.IContext context)

     {

         //Gestione parametri
         var input = (String)context.Input;
         context.Output = input;

         //Gestione Navigazione
         if ((Command)context.Command == Command.Start) context.Next = new  StateActive();
         if ((Command)context.Command == Command.Pause) context.Next = this;


     }

 }

在网上找到了这个很棒的教程,它帮助我理解了有限状态机。

http://gamedevelopment.tutsplus.com/tutorials/finite-state-machines-theory-and-implementation--gamedev-11867

本教程是语言无关的,所以它可以很容易地适应您的c#需求。

而且,所使用的例子(一只蚂蚁寻找食物)很容易理解。

来自教程:

public class FSM {
    private var activeState :Function; // points to the currently active state function

    public function FSM() {
    }

    public function setState(state :Function) :void {
        activeState = state;
    }

    public function update() :void {
        if (activeState != null) {
            activeState();
        }
    }
}


public class Ant
{
    public var position   :Vector3D;
    public var velocity   :Vector3D;
    public var brain      :FSM;

    public function Ant(posX :Number, posY :Number) {
        position    = new Vector3D(posX, posY);
        velocity    = new Vector3D( -1, -1);
        brain       = new FSM();

        // Tell the brain to start looking for the leaf.
        brain.setState(findLeaf);
    }

    /**
    * The "findLeaf" state.
    * It makes the ant move towards the leaf.
    */
    public function findLeaf() :void {
        // Move the ant towards the leaf.
        velocity = new Vector3D(Game.instance.leaf.x - position.x, Game.instance.leaf.y - position.y);

        if (distance(Game.instance.leaf, this) <= 10) {
            // The ant is extremelly close to the leaf, it's time
            // to go home.
            brain.setState(goHome);
        }

        if (distance(Game.mouse, this) <= MOUSE_THREAT_RADIUS) {
            // Mouse cursor is threatening us. Let's run away!
            // It will make the brain start calling runAway() from
            // now on.
            brain.setState(runAway);
        }
    }

    /**
    * The "goHome" state.
    * It makes the ant move towards its home.
    */
    public function goHome() :void {
        // Move the ant towards home
        velocity = new Vector3D(Game.instance.home.x - position.x, Game.instance.home.y - position.y);

        if (distance(Game.instance.home, this) <= 10) {
            // The ant is home, let's find the leaf again.
            brain.setState(findLeaf);
        }
    }

    /**
    * The "runAway" state.
    * It makes the ant run away from the mouse cursor.
    */
    public function runAway() :void {
        // Move the ant away from the mouse cursor
        velocity = new Vector3D(position.x - Game.mouse.x, position.y - Game.mouse.y);

        // Is the mouse cursor still close?
        if (distance(Game.mouse, this) > MOUSE_THREAT_RADIUS) {
            // No, the mouse cursor has gone away. Let's go back looking for the leaf.
            brain.setState(findLeaf);
        }
    }

    public function update():void {
        // Update the FSM controlling the "brain". It will invoke the currently
        // active state function: findLeaf(), goHome() or runAway().
        brain.update();

        // Apply the velocity vector to the position, making the ant move.
        moveBasedOnVelocity();
    }

    (...)
}

今天我将深入学习状态设计模式。 我做了并测试了ThreadState,它等于c#中的线程(+/-),如图所示

你可以很容易地添加新的状态,配置从一个状态移动到另一个状态是非常容易的,因为它封装在状态实现中

实现和使用at:实现。net ThreadState by State设计模式