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

我用朱莉叶的代码做了这个通用状态机。这对我来说非常有效。

以下是好处:

你可以用两个枚举TState和TCommand在代码中创建新的状态机, 增加了struct TransitionResult<TState>以更好地控制[Try]GetNext()方法的输出结果 只通过AddTransition(TState, TCommand, TState)暴露嵌套类StateTransition,使其更容易使用

代码:

public class StateMachine<TState, TCommand>
    where TState : struct, IConvertible, IComparable
    where TCommand : struct, IConvertible, IComparable
{
    protected class StateTransition<TS, TC>
        where TS : struct, IConvertible, IComparable
        where TC : struct, IConvertible, IComparable
    {
        readonly TS CurrentState;
        readonly TC Command;

        public StateTransition(TS currentState, TC command)
        {
            if (!typeof(TS).IsEnum || !typeof(TC).IsEnum)
            {
                throw new ArgumentException("TS,TC must be an enumerated type");
            }

            CurrentState = currentState;
            Command = command;
        }

        public override int GetHashCode()
        {
            return 17 + 31 * CurrentState.GetHashCode() + 31 * Command.GetHashCode();
        }

        public override bool Equals(object obj)
        {
            StateTransition<TS, TC> other = obj as StateTransition<TS, TC>;
            return other != null
                && this.CurrentState.CompareTo(other.CurrentState) == 0
                && this.Command.CompareTo(other.Command) == 0;
        }
    }

    private Dictionary<StateTransition<TState, TCommand>, TState> transitions;
    public TState CurrentState { get; private set; }

    protected StateMachine(TState initialState)
    {
        if (!typeof(TState).IsEnum || !typeof(TCommand).IsEnum)
        {
            throw new ArgumentException("TState,TCommand must be an enumerated type");
        }

        CurrentState = initialState;
        transitions = new Dictionary<StateTransition<TState, TCommand>, TState>();
    }

    /// <summary>
    /// Defines a new transition inside this state machine
    /// </summary>
    /// <param name="start">source state</param>
    /// <param name="command">transition condition</param>
    /// <param name="end">destination state</param>
    protected void AddTransition(TState start, TCommand command, TState end)
    {
        transitions.Add(new StateTransition<TState, TCommand>(start, command), end);
    }

    public TransitionResult<TState> TryGetNext(TCommand command)
    {
        StateTransition<TState, TCommand> transition = new StateTransition<TState, TCommand>(CurrentState, command);
        TState nextState;
        if (transitions.TryGetValue(transition, out nextState))
            return new TransitionResult<TState>(nextState, true);
        else
            return new TransitionResult<TState>(CurrentState, false);
    }

    public TransitionResult<TState> MoveNext(TCommand command)
    {
        var result = TryGetNext(command);
        if(result.IsValid)
        {
            //changes state
            CurrentState = result.NewState;
        }
        return result;
    }
}

这是TryGetNext方法的返回类型:

public struct TransitionResult<TState>
{
    public TransitionResult(TState newState, bool isValid)
    {
        NewState = newState;
        IsValid = isValid;
    }
    public TState NewState;
    public bool IsValid;
}

使用方法:

这是你如何从泛型类创建一个OnlineDiscountStateMachine:

为其状态定义一个enum OnlineDiscountState,为其命令定义一个enum OnlineDiscountCommand。

使用这两个枚举定义从泛型类派生的类OnlineDiscountStateMachine

从base(OnlineDiscountState. initialstate)派生构造函数,以便初始状态被设置为OnlineDiscountState。InitialState

根据需要多次使用AddTransition

public class OnlineDiscountStateMachine : StateMachine<OnlineDiscountState, OnlineDiscountCommand>
{
    public OnlineDiscountStateMachine() : base(OnlineDiscountState.Disconnected)
    {
        AddTransition(OnlineDiscountState.Disconnected, OnlineDiscountCommand.Connect, OnlineDiscountState.Connected);
        AddTransition(OnlineDiscountState.Disconnected, OnlineDiscountCommand.Connect, OnlineDiscountState.Error_AuthenticationError);
        AddTransition(OnlineDiscountState.Connected, OnlineDiscountCommand.Submit, OnlineDiscountState.WaitingForResponse);
        AddTransition(OnlineDiscountState.WaitingForResponse, OnlineDiscountCommand.DataReceived, OnlineDiscountState.Disconnected);
    }
}

使用派生状态机

    odsm = new OnlineDiscountStateMachine();
    public void Connect()
    {
        var result = odsm.TryGetNext(OnlineDiscountCommand.Connect);

        //is result valid?
        if (!result.IsValid)
            //if this happens you need to add transitions to the state machine
            //in this case result.NewState is the same as before
            Console.WriteLine("cannot navigate from this state using OnlineDiscountCommand.Connect");

        //the transition was successfull
        //show messages for new states
        else if(result.NewState == OnlineDiscountState.Error_AuthenticationError)
            Console.WriteLine("invalid user/pass");
        else if(result.NewState == OnlineDiscountState.Connected)
            Console.WriteLine("Connected");
        else
            Console.WriteLine("not implemented transition result for " + result.NewState);
    }

其他回答

在我看来,状态机不仅意味着改变状态,而且(非常重要)还意味着处理特定状态中的触发器/事件。如果您想更好地理解状态机设计模式,可以在《头部优先设计模式》一书的第320页中找到一个很好的描述。

它不仅涉及变量中的状态,还涉及处理不同状态中的触发器。很棒的一章(不,提到这个对我来说是免费的:-),它包含了一个简单易懂的解释。

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();
    }

    (...)
}

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。

这里有些无耻的自我宣传,但在不久前,我创建了一个名为YieldMachine的库,它允许以非常干净和简单的方式描述一个有限复杂性的状态机。例如,考虑一盏灯:

注意,这个状态机有2个触发器和3个状态。在YieldMachine代码中,我们为所有与状态相关的行为编写了一个方法,在这个方法中,我们对每个状态都使用goto,这是一种可怕的暴行。触发器变成Action类型的属性或字段,用一个称为trigger的属性进行修饰。我在下面注释了第一个状态及其转换的代码;接下来的状态遵循相同的模式。

public class Lamp : StateMachine
{
    // Triggers (or events, or actions, whatever) that our
    // state machine understands.
    [Trigger]
    public readonly Action PressSwitch;

    [Trigger]
    public readonly Action GotError;

    // Actual state machine logic
    protected override IEnumerable WalkStates()
    {
    off:                                       
        Console.WriteLine("off.");
        yield return null;

        if (Trigger == PressSwitch) goto on;
        InvalidTrigger();

    on:
        Console.WriteLine("*shiiine!*");
        yield return null;

        if (Trigger == GotError) goto error;
        if (Trigger == PressSwitch) goto off;
        InvalidTrigger();

    error:
        Console.WriteLine("-err-");
        yield return null;

        if (Trigger == PressSwitch) goto off;
        InvalidTrigger();
    }
}

又短又好,嗯!

这个状态机通过发送触发器来控制:

var sm = new Lamp();
sm.PressSwitch(); //go on
sm.PressSwitch(); //go off

sm.PressSwitch(); //go on
sm.GotError();    //get error
sm.PressSwitch(); //go off

为了澄清,我在第一个状态中添加了一些注释,以帮助您理解如何使用它。

    protected override IEnumerable WalkStates()
    {
    off:                                       // Each goto label is a state

        Console.WriteLine("off.");             // State entry actions

        yield return null;                     // This means "Wait until a 
                                               // trigger is called"

                                               // Ah, we got triggered! 
                                               //   perform state exit actions 
                                               //   (none, in this case)

        if (Trigger == PressSwitch) goto on;   // Transitions go here: 
                                               // depending on the trigger 
                                               // that was called, go to
                                               // the right state

        InvalidTrigger();                      // Throw exception on 
                                               // invalid trigger

        ...

这是因为c#编译器实际上在内部为每个使用yield return的方法创建了一个状态机。这个构造通常用于惰性地创建数据序列,但在这种情况下,我们实际上对返回的序列并不感兴趣(反正都是null),而是对在底层创建的状态行为感兴趣。

StateMachine基类对构造进行一些反射,将代码分配给每个[Trigger]操作,该操作设置Trigger成员并向前移动状态机。

但是你不需要真正理解它的内部原理就能使用它。