我知道pydispatcher,但是Python周围一定有其他与事件相关的包。
哪些库是可用的?
我对作为大型框架一部分的事件管理器不感兴趣,我宁愿使用可以轻松扩展的小型骨架解决方案。
我知道pydispatcher,但是Python周围一定有其他与事件相关的包。
哪些库是可用的?
我对作为大型框架一部分的事件管理器不感兴趣,我宁愿使用可以轻松扩展的小型骨架解决方案。
当前回答
这里是一个最小的设计,应该工作得很好。你要做的就是简单地在一个类中继承Observer,然后使用observe(event_name, callback_fn)来监听特定的事件。当特定事件在代码中的任何地方被触发时(例如。事件('USB connected')),则将触发相应的回调。
class Observer():
_observers = []
def __init__(self):
self._observers.append(self)
self._observed_events = []
def observe(self, event_name, callback_fn):
self._observed_events.append({'event_name' : event_name, 'callback_fn' : callback_fn})
class Event():
def __init__(self, event_name, *callback_args):
for observer in Observer._observers:
for observable in observer._observed_events:
if observable['event_name'] == event_name:
observable['callback_fn'](*callback_args)
例子:
class Room(Observer):
def __init__(self):
print("Room is ready.")
Observer.__init__(self) # DON'T FORGET THIS
def someone_arrived(self, who):
print(who + " has arrived!")
# Observe for specific event
room = Room()
room.observe('someone arrived', room.someone_arrived)
# Fire some events
Event('someone left', 'John')
Event('someone arrived', 'Lenard') # will output "Lenard has arrived!"
Event('someone Farted', 'Lenard')
其他回答
我一直是这样做的:
class Event(list):
"""Event subscription.
A list of callable objects. Calling an instance of this will cause a
call to each item in the list in ascending order by index.
Example Usage:
>>> def f(x):
... print 'f(%s)' % x
>>> def g(x):
... print 'g(%s)' % x
>>> e = Event()
>>> e()
>>> e.append(f)
>>> e(123)
f(123)
>>> e.remove(f)
>>> e()
>>> e += (f, g)
>>> e(10)
f(10)
g(10)
>>> del e[0]
>>> e(2)
g(2)
"""
def __call__(self, *args, **kwargs):
for f in self:
f(*args, **kwargs)
def __repr__(self):
return "Event(%s)" % list.__repr__(self)
然而,就像我看到的其他东西一样,没有自动生成的pydoc,也没有签名,这真的很糟糕。
我们使用Michael ford在他的事件模式中建议的EventHook:
只需添加EventHooks到你的类:
class MyBroadcaster()
def __init__():
self.onChange = EventHook()
theBroadcaster = MyBroadcaster()
# add a listener to the event
theBroadcaster.onChange += myFunction
# remove listener from the event
theBroadcaster.onChange -= myFunction
# fire event
theBroadcaster.onChange.fire()
我们添加了从对象中移除所有侦听器到Michaels类的功能,最终得到了这样的结果:
class EventHook(object):
def __init__(self):
self.__handlers = []
def __iadd__(self, handler):
self.__handlers.append(handler)
return self
def __isub__(self, handler):
self.__handlers.remove(handler)
return self
def fire(self, *args, **keywargs):
for handler in self.__handlers:
handler(*args, **keywargs)
def clearObjectHandlers(self, inObject):
for theHandler in self.__handlers:
if theHandler.im_self == inObject:
self -= theHandler
我在《宝贵的课程》上找到了这个小脚本。它似乎具有我所追求的简单性/功率比。Peter Thatcher是以下代码的作者(未提及许可)。
class Event:
def __init__(self):
self.handlers = set()
def handle(self, handler):
self.handlers.add(handler)
return self
def unhandle(self, handler):
try:
self.handlers.remove(handler)
except:
raise ValueError("Handler is not handling this event, so cannot unhandle it.")
return self
def fire(self, *args, **kargs):
for handler in self.handlers:
handler(*args, **kargs)
def getHandlerCount(self):
return len(self.handlers)
__iadd__ = handle
__isub__ = unhandle
__call__ = fire
__len__ = getHandlerCount
class MockFileWatcher:
def __init__(self):
self.fileChanged = Event()
def watchFiles(self):
source_path = "foo"
self.fileChanged(source_path)
def log_file_change(source_path):
print "%r changed." % (source_path,)
def log_file_change2(source_path):
print "%r changed!" % (source_path,)
watcher = MockFileWatcher()
watcher.fileChanged += log_file_change2
watcher.fileChanged += log_file_change
watcher.fileChanged -= log_file_change2
watcher.watchFiles()
你可以看看pymitter (pypi)。它是一个小的单文件(~250 loc)方法 提供名称空间、通配符和TTL。
这里有一个基本的例子:
from pymitter import EventEmitter
ee = EventEmitter()
# decorator usage
@ee.on("myevent")
def handler1(arg):
print "handler1 called with", arg
# callback usage
def handler2(arg):
print "handler2 called with", arg
ee.on("myotherevent", handler2)
# emit
ee.emit("myevent", "foo")
# -> "handler1 called with foo"
ee.emit("myotherevent", "bar")
# -> "handler2 called with bar"
下面是另一个需要考虑的模块。对于要求更高的应用程序,这似乎是一个可行的选择。
Py-notify is a Python package providing tools for implementing Observer programming pattern. These tools include signals, conditions and variables. Signals are lists of handlers that are called when signal is emitted. Conditions are basically boolean variables coupled with a signal that is emitted when condition state changes. They can be combined using standard logical operators (not, and, etc.) into compound conditions. Variables, unlike conditions, can hold any Python object, not just booleans, but they cannot be combined.