GraphMachine 不会为 NarcolepticSuperhero 快速入门示例生成图表
GraphMachine doesn't generate graph for NarcolepticSuperhero quickstart example
我尝试使用 GitHub 文档中定义的 NarcolepticSuperhero
机器创建图表,但它只输出:
重建步骤:
- 创建一个名为
test.py
的文件,内容如下:
from transitions import Machine
from transitions.extensions import GraphMachine
import random
class NarcolepticSuperhero(object):
# Define some states. Most of the time, narcoleptic superheroes are just like
# everyone else. Except for...
states = ['asleep', 'hanging out', 'hungry', 'sweaty', 'saving the world']
def __init__(self, name):
# No anonymous superheroes on my watch! Every narcoleptic superhero gets
# a name. Any name at all. SleepyMan. SlumberGirl. You get the idea.
self.name = name
# What have we accomplished today?
self.kittens_rescued = 0
# Initialize the state machine
self.machine = Machine(model=self, states=NarcolepticSuperhero.states, initial='asleep')
# Add some transitions. We could also define these using a static list of
# dictionaries, as we did with states above, and then pass the list to
# the Machine initializer as the transitions= argument.
# At some point, every superhero must rise and shine.
self.machine.add_transition(trigger='wake_up', source='asleep', dest='hanging out')
# Superheroes need to keep in shape.
self.machine.add_transition('work_out', 'hanging out', 'hungry')
# Those calories won't replenish themselves!
self.machine.add_transition('eat', 'hungry', 'hanging out')
# Superheroes are always on call. ALWAYS. But they're not always
# dressed in work-appropriate clothing.
self.machine.add_transition('distress_call', '*', 'saving the world',
before='change_into_super_secret_costume')
# When they get off work, they're all sweaty and disgusting. But before
# they do anything else, they have to meticulously log their latest
# escapades. Because the legal department says so.
self.machine.add_transition('complete_mission', 'saving the world', 'sweaty',
after='update_journal')
# Sweat is a disorder that can be remedied with water.
# Unless you've had a particularly long day, in which case... bed time!
self.machine.add_transition('clean_up', 'sweaty', 'asleep', conditions=['is_exhausted'])
self.machine.add_transition('clean_up', 'sweaty', 'hanging out')
# Our NarcolepticSuperhero can fall asleep at pretty much any time.
self.machine.add_transition('nap', '*', 'asleep')
def update_journal(self):
""" Dear Diary, today I saved Mr. Whiskers. Again. """
self.kittens_rescued += 1
@property
def is_exhausted(self):
""" Basically a coin toss. """
return random.random() < 0.5
def change_into_super_secret_costume(self):
print("Beauty, eh?")
batman = NarcolepticSuperhero("Batman")
batman.wake_up()
batman.state
machine = GraphMachine(model=batman)
batman.get_graph().draw("test.png", prog='dot')
- 安装要求(Ubuntu 20.10,我测试了它的 docker 图像)和 运行 脚本:
$ apt install graphviz graphviz-dev
$ pip3 install transitions graphviz pygraphviz
$ python3 test.py
- 检查生成的图像
您正在实例化 GraphMachine
,这里没有任何状态和转换:
machine = GraphMachine(model=batman)
您基本上是将 NarcolepticSuperhero
重新用作该新机器的模型,但您应该做的是将 NarcolepticSuperhero
的机器更改为 GraphMachine
:
# Initialize the state machine
self.machine = GraphMachine(model=self, states=NarcolepticSuperhero.states, initial='asleep')
# [...]
batman.state
# this is not required anymore
# machine = GraphMachine(model=batman)
batman.get_graph().draw("test.png", prog='dot')
我尝试使用 GitHub 文档中定义的 NarcolepticSuperhero
机器创建图表,但它只输出:
重建步骤:
- 创建一个名为
test.py
的文件,内容如下:
from transitions import Machine
from transitions.extensions import GraphMachine
import random
class NarcolepticSuperhero(object):
# Define some states. Most of the time, narcoleptic superheroes are just like
# everyone else. Except for...
states = ['asleep', 'hanging out', 'hungry', 'sweaty', 'saving the world']
def __init__(self, name):
# No anonymous superheroes on my watch! Every narcoleptic superhero gets
# a name. Any name at all. SleepyMan. SlumberGirl. You get the idea.
self.name = name
# What have we accomplished today?
self.kittens_rescued = 0
# Initialize the state machine
self.machine = Machine(model=self, states=NarcolepticSuperhero.states, initial='asleep')
# Add some transitions. We could also define these using a static list of
# dictionaries, as we did with states above, and then pass the list to
# the Machine initializer as the transitions= argument.
# At some point, every superhero must rise and shine.
self.machine.add_transition(trigger='wake_up', source='asleep', dest='hanging out')
# Superheroes need to keep in shape.
self.machine.add_transition('work_out', 'hanging out', 'hungry')
# Those calories won't replenish themselves!
self.machine.add_transition('eat', 'hungry', 'hanging out')
# Superheroes are always on call. ALWAYS. But they're not always
# dressed in work-appropriate clothing.
self.machine.add_transition('distress_call', '*', 'saving the world',
before='change_into_super_secret_costume')
# When they get off work, they're all sweaty and disgusting. But before
# they do anything else, they have to meticulously log their latest
# escapades. Because the legal department says so.
self.machine.add_transition('complete_mission', 'saving the world', 'sweaty',
after='update_journal')
# Sweat is a disorder that can be remedied with water.
# Unless you've had a particularly long day, in which case... bed time!
self.machine.add_transition('clean_up', 'sweaty', 'asleep', conditions=['is_exhausted'])
self.machine.add_transition('clean_up', 'sweaty', 'hanging out')
# Our NarcolepticSuperhero can fall asleep at pretty much any time.
self.machine.add_transition('nap', '*', 'asleep')
def update_journal(self):
""" Dear Diary, today I saved Mr. Whiskers. Again. """
self.kittens_rescued += 1
@property
def is_exhausted(self):
""" Basically a coin toss. """
return random.random() < 0.5
def change_into_super_secret_costume(self):
print("Beauty, eh?")
batman = NarcolepticSuperhero("Batman")
batman.wake_up()
batman.state
machine = GraphMachine(model=batman)
batman.get_graph().draw("test.png", prog='dot')
- 安装要求(Ubuntu 20.10,我测试了它的 docker 图像)和 运行 脚本:
$ apt install graphviz graphviz-dev
$ pip3 install transitions graphviz pygraphviz
$ python3 test.py
- 检查生成的图像
您正在实例化 GraphMachine
,这里没有任何状态和转换:
machine = GraphMachine(model=batman)
您基本上是将 NarcolepticSuperhero
重新用作该新机器的模型,但您应该做的是将 NarcolepticSuperhero
的机器更改为 GraphMachine
:
# Initialize the state machine
self.machine = GraphMachine(model=self, states=NarcolepticSuperhero.states, initial='asleep')
# [...]
batman.state
# this is not required anymore
# machine = GraphMachine(model=batman)
batman.get_graph().draw("test.png", prog='dot')