Posted in Python onMarch 19, 2015
本文实例讲述了Python实现简单状态框架的方法。分享给大家供大家参考。具体分析如下:
这里使用Python实现一个简单的状态框架,代码需要在python3.2环境下运行
from time import sleep from random import randint, shuffle class StateMachine(object): ''' Usage: Create an instance of StateMachine, use set_starting_state(state) to give it an initial state to work with, then call tick() on each second (or whatever your desired time interval might be. ''' def set_starting_state(self, state): ''' The entry state for the state machine. ''' state.enter() self.state = state def tick(self): ''' Calls the current state's do_work() and checks for a transition ''' next_state = self.state.check_transitions() if next_state is None: # Stick with this state self.state.do_work() else: # Next state found, transition to it self.state.exit() next_state.enter() self.state = next_state class BaseState(object): ''' Usage: Subclass BaseState and override the enter(), do_work(), and exit() methods. enter() -- Setup for your state should occur here. This likely includes adding transitions or initializing member variables. do_work() -- Meat and potatoes of your state. There may be some logic here that will cause a transition to trigger. exit() -- Any cleanup or final actions should occur here. This is called just before transition to the next state. ''' def add_transition(self, condition, next_state): ''' Adds a new transition to the state. The "condition" param must contain a callable object. When the "condition" evaluates to True, the "next_state" param is set as the active state. ''' # Enforce transition validity assert(callable(condition)) assert(hasattr(next_state, "enter")) assert(callable(next_state.enter)) assert(hasattr(next_state, "do_work")) assert(callable(next_state.do_work)) assert(hasattr(next_state, "exit")) assert(callable(next_state.exit)) # Add transition if not hasattr(self, "transitions"): self.transitions = [] self.transitions.append((condition, next_state)) def check_transitions(self): ''' Returns the first State thats condition evaluates true (condition order is randomized) ''' if hasattr(self, "transitions"): shuffle(self.transitions) for transition in self.transitions: condition, state = transition if condition(): return state def enter(self): pass def do_work(self): pass def exit(self): pass ################################################################################################## ############################### EXAMPLE USAGE OF STATE MACHINE ################################### ################################################################################################## class WalkingState(BaseState): def enter(self): print("WalkingState: enter()") def condition(): return randint(1, 5) == 5 self.add_transition(condition, JoggingState()) self.add_transition(condition, RunningState()) def do_work(self): print("Walking...") def exit(self): print("WalkingState: exit()") class JoggingState(BaseState): def enter(self): print("JoggingState: enter()") self.stamina = randint(5, 15) def condition(): return self.stamina <= 0 self.add_transition(condition, WalkingState()) def do_work(self): self.stamina -= 1 print("Jogging ({0})...".format(self.stamina)) def exit(self): print("JoggingState: exit()") class RunningState(BaseState): def enter(self): print("RunningState: enter()") self.stamina = randint(5, 15) def walk_condition(): return self.stamina <= 0 self.add_transition(walk_condition, WalkingState()) def trip_condition(): return randint(1, 10) == 10 self.add_transition(trip_condition, TrippingState()) def do_work(self): self.stamina -= 2 print("Running ({0})...".format(self.stamina)) def exit(self): print("RunningState: exit()") class TrippingState(BaseState): def enter(self): print("TrippingState: enter()") self.tripped = False def condition(): return self.tripped self.add_transition(condition, WalkingState()) def do_work(self): print("Tripped!") self.tripped = True def exit(self): print("TrippingState: exit()") if __name__ == "__main__": state = WalkingState() state_machine = StateMachine() state_machine.set_starting_state(state) while True: state_machine.tick() sleep(1)
希望本文所述对大家的Python程序设计有所帮助。
Python实现简单状态框架的方法
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