状态机引擎的业务实践

前言

在开发中通常会有状态属性,例如订单状态、事件处置状态、OA请假单状态等,都会根据不同的动作,去更新对应的状态。如下:

int status = 0;  
if (condition1){  
    status = 1;  
}else if (condition2){  
    status = 2;  
}else if (condition3){  
    status = 3;  
}

上述示例存在的问题: - 在需求增加的情况下,if.else会不断膨胀 - 代码可读性差,略微改动会导致各种问题 - 其他业务逻辑会耦合在if.else代码段中

针对系统中状态的管理,可以使用有限状态机去解决,有限状态机是表示有限个状态以及状态间转移的模型。状态机由事件、状态、动作三部分组成。

image-20230220205838434

状态机的简单实现

条件分支判断

最简单的方案是通过条件分支控制状态的转移,这适合于业务状态较少,并且状态跳转的逻辑较简单的场景,但是当触发事件较多时,需要嵌套多层条件判断,当需求中状态变更事件改变时,需要改动的逻辑较大。案例代码如下:

public enum ActivityState {

    PREPARE(0),
    STARTED(1),
    END(2)
    ;

    public final int status;


    ActivityState(int status) {
        this.status = status;
    }

    public int getStatus() {
        return status;
    }
}

/**
 * 活动状态-状态机
 * @author l1nker4
 */
public class ActivityStateMachine {
    /**
     * 活动状态
     */
    private ActivityState currentState;

    public ActivityStateMachine() {
        this.currentState = ActivityState.PREPARE;
    }


    /**
     * 活动开始
     */
    public void begin() {
        if (currentState.equals(ActivityState.PREPARE)) {
            this.currentState = ActivityState.STARTED;
            //do something....
        }
    }

    /**
     * 活动结束
     */
    public void end(){
        if (currentState.equals(ActivityState.STARTED)){
            this.currentState = ActivityState.END;
            //do something...
        }
    }

}

状态模式实现

设计模式中的状态模式也是状态机的一种实现方式,定义了状态-行为的对应关系,并将各自的行为封装到状态类中。状态模式会引入较多的状态类和方法,需求变更时维护成本大。

public interface IActivityState {

    /**
     *
     * @return
     */
    ActivityState getName();

    /**
     *
     */
    void prepareAction();

    /**
     *
     */
    void startAction();

    /**
     *
     */
    void endAction();

}

public class ActivityStateMachine {

    private IActivityState currentState;

    public ActivityStateMachine(IActivityState currentState) {
        this.currentState = new ActivityPrepareState(this);
    }
    public void setCurrentState(IActivityState currentState) {
        this.currentState = currentState;
    }

    public void prepareAction(){
        currentState.prepareAction();
    }

    public void startAction(){
        currentState.startAction();
    }

    public void endAction(){
        currentState.endAction();
    }
}

public class ActivityPrepareState implements IActivityState{

    private final ActivityStateMachine stateMachine;

    public ActivityPrepareState(ActivityStateMachine stateMachine) {
        this.stateMachine = stateMachine;
    }

    @Override
    public ActivityState getName() {
        return ActivityState.PREPARE;
    }

    @Override
    public void prepareAction() {
        stateMachine.setCurrentState(new ActivityPrepareState(stateMachine));
    }

    @Override
    public void startAction() {

    }

    @Override
    public void endAction() {

    }
}

public class ActivityStartState implements IActivityState{

    private final ActivityStateMachine stateMachine;

    public ActivityStartState(ActivityStateMachine stateMachine) {
        this.stateMachine = stateMachine;
    }

    @Override
    public ActivityState getName() {
        return ActivityState.STARTED;
    }

    @Override
    public void prepareAction() {

    }

    @Override
    public void startAction() {
        stateMachine.setCurrentState(new ActivityStartState(stateMachine));
    }

    @Override
    public void endAction() {

    }
}

public class ActivityEndState implements IActivityState {
    private final ActivityStateMachine stateMachine;

    public ActivityEndState(ActivityStateMachine stateMachine) {
        this.stateMachine = stateMachine;
    }

    @Override
    public ActivityState getName() {
        return ActivityState.END;
    }

    @Override
    public void prepareAction() {

    }

    @Override
    public void startAction() {

    }

    @Override
    public void endAction() {
        stateMachine.setCurrentState(new ActivityEndState(stateMachine));
    }
}

DSL方案

DSL(Domain-Specific Languages):针对以特定领域的语言,用于解决一类问题,例如:正则表达式可以解决字符串匹配这一类问题。可分为以下两种类型:

  • Internal DSL:业务代码通过代码直接进行配置,Java Internal DSL一般直接利用建造者模式和流式接口构建
  • External DSL:通过外部配置文件,运行时读取进行解析,例如XML、JSON等格式

COLA

COLA是阿里巴巴开源的DSL状态机实现,根据作者的介绍,相比较其他开源的状态机实现(Spring Statemachine等),其优点如下:

  • 开源的状态机引擎性能较差,状态机有状态,需要考虑线程安全
  • 开源的状态机较为复杂,太重。

领域模型

COLA状态机的核心概念有:

  • State:状态
  • Event:状态由事件触发
  • Transition:状态间转换的过程
  • External Transition:stateA -> stateB
  • Internal Transition:steteA -> stateA
  • Condition:是否允许到达某种状态
  • Action:state变化时执行的动作

demo

pom.xml:

<dependency>
    <groupId>com.alibaba.cola</groupId>
    <artifactId>cola-component-statemachine</artifactId>
    <version>4.3.1</version>
</dependency>
public enum Events {

    STARTED("activity started"),

    END("activity ended")
    ;


    private String event;

    Events(String event) {
        this.event = event;
    }

    public void setEvent(String event) {
        this.event = event;
    }
}

@Test
public void testMachine() {
        StateMachineBuilder<ActivityState, Events, Object> builder = StateMachineBuilderFactory.create();

        builder.externalTransition()
                .from(ActivityState.PREPARE)
                .to(ActivityState.STARTED)
                .on(Events.STARTED)
                .when(checkCondition())
                .perform(doAction());
        StateMachine<ActivityState, Events, Object> machine = builder.build("test");
        ActivityState activityState = machine.fireEvent(ActivityState.PREPARE, Events.STARTED, new Object());
        log.info("new state: {}", activityState);
    }


    private Condition<Object> checkCondition() {
        return (context -> {return true;});
    }

    private Action<ActivityState, Events, Object> doAction() {
        return ((from, to, event, context) -> {
            log.info("{} is doing, from {}, to {}, on: {}", context, from, to, event);
        });
    }

Reference

Domain-Specific Languages

实现一个状态机引擎,教你看清DSL的本质


状态机引擎的业务实践
https://l1n.wang/2023/设计模式/状态机引擎的业务实践/
作者
Lin Wang
发布于
2023年2月25日
许可协议