在Pytransitions中嵌套

时间:2019-01-22 19:22:20

标签: python transition fsm

我一直在github,SO上寻找封闭的问题,并通过谷歌搜索来解决此问题。但是我无法解决我的问题,这似乎是正确的地方。我已经在github上打开了一个问题,但是我不确定这是否正确。 我正在制作一个状态机,它可以包含几个子状态,它们也都是状态机。因此,这基本上可以归结为根据readme重用HSM。

我最高级别的SM看起来像这样:

from transitions.extensions import LockedHierarchicalMachine as Machine
from coordination.running import RunningStateMachine

logging.basicConfig(level=logging.ERROR)
logging.getLogger("transitions").setLevel(logging.INFO)

class RPPStateMachine(Machine):
    def __init__(self, name):
        self._running = RunningStateMachine()
        self.name = name
        states = [
            "init",
            {"name": "running", "children": self._running},
            "stop",
        ]

        Machine.__init__(self, states=states, initial="init")

        self.add_transition("e_run", "init", "run", after=self.run_machine)
        self.add_transition("e_stop", "*", "stop")

    def run_machine(self):
        self._running.initialize()

如您所见,状态机具有三个状态initrunningstop。一旦事件e_run()通过类似的方式发送

machine = RPPStateMachine("my_machine")
machine.e_run()

计算机过渡到running状态。

我以间接方式进行操作,因为我希望事情能够自动发生。 e_run()导致过渡到running,然后run_machine调用运行类的initialize方法,该方法将触发一个事件以启动事件链。下面我显示running,这使事情变得很清楚。

因此,将运行状态定义为

from transitions.extensions import LockedHierarchicalMachine as Machine
from coordination.test_mode import TestingStateMachine
from coordination.release_mode import ReleaseStateMachine

class RunningStateMachine(Machine):
    def __init__(self):
        self._test_mode = TestingStateMachine()
        self._release_demo = ReleaseStateMachine()
        states = [
            "init",
            "configuration",
            "idle",
            {"name": "test_mode", "children": self._test_mode},
            {"name": "release_mode", "children": self._release_mode},
        ]

        Machine.__init__(self, states=states, initial="init")
        self.add_transition("e_start_running", "init", "configuration", after=self.configuration)
        self.add_transition("e_success_config", "configuration", "idle")
        self.add_transition("e_test_mode", "idle", "test_mode")
        self.add_transition("e_release_mode", "idle", "release_mode")
        self.add_transition("e_start_running", "idle", "init")

    def initialize(self):
        print("Initialization step for running, emitting e_start.")
        self.e_start_running()

    def configuration(self):
        print("Configuring...")
        print( "Current state: " + self.state)

        self.e_success_config()

类似于其父级,由几个状态和几个子状态组成。 我还启用了日志记录功能,以查看进入和退出的状态。以我的经验,嵌套状态机非常有用,因为您可以重用之前编写的状态。除了随着状态机的增长,它还有助于保持事物的模块化。因此,没有一种状态会变得庞大且难以阅读/理解。

所以异常的行为是,当调用e_run()时,我得到了打印图像

INFO:transitions.core:Entered state running
INFO:transitions.core:Entered state running_init
Initialization step for running, emitting e_start.
INFO:transitions.core:Exited state init
INFO:transitions.core:Entered state configuration
Configuring...
current state: configuration
INFO:transitions.core:Exited state configuration
INFO:transitions.core:Entered state idle

如您所见

machine.state
>>> 'running_init'

同时

machine._running.state
>>> 'idle'

我当然可以将过渡定义移到父状态,但这并不方便。我不能对所有子州都这样做。显然,我希望每个子状态对其自身的行为负责。这里的惯例是什么?这是错误还是预期的行为?

如何将状态机整齐地嵌套在彼此之下?

1 个答案:

答案 0 :(得分:0)

transitions 0.7.1起,将状态机作为另一个状态机的子级传递,将会复制所有传递给状态机的状态到父级。通过的状态机保持不变(如我们所讨论的here)。

from transitions.extensions import MachineFactory

HSM = MachineFactory.get_predefined(nested=True)

fsm = HSM(states=['A', 'B'], initial='A')
hsm = HSM(states=['1', {'name': '2', 'children': fsm}])

# states object have been copied instead of referenced, they are not identical
assert fsm.states['A'] is not hsm.states['2_A']
hsm.to_2_A()

# both machines work with different models
assert fsm.models[0] is not hsm.models[0]
assert fsm.state is not hsm.state

当前建议的工作流程是拆分模型和计算机,并将计算机仅视为其父级的某种“蓝图”:

from transitions.extensions import MachineFactory


class Model:
    pass


HSM = MachineFactory.get_predefined(nested=True)

# creating fsm as a blueprint, it does not need a model
fsm = HSM(model=None, states=['A', 'B'], initial='A')
# use a model AND also
model = Model()
hsm = HSM(model=['self', model], states=['1', {'name': '2', 'children': fsm}])

# will only update the machine's state
hsm.to_1()
assert model.state != hsm.state
# will update ALL model states
hsm.dispatch("to_2_B")
assert model.state == hsm.state

但是,这不能代替在父计算机中正确隔离(和/或限定范围)的计算机嵌套。已创建功能draft,并有望在可预见的将来实现。