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
我创建了一个EventManager类(代码在最后)。语法如下:
#Create an event with no listeners assigned to it
EventManager.addEvent( eventName = [] )
#Create an event with listeners assigned to it
EventManager.addEvent( eventName = [fun1, fun2,...] )
#Create any number event with listeners assigned to them
EventManager.addEvent( eventName1 = [e1fun1, e1fun2,...], eventName2 = [e2fun1, e2fun2,...], ... )
#Add or remove listener to an existing event
EventManager.eventName += extra_fun
EventManager.eventName -= removed_fun
#Delete an event
del EventManager.eventName
#Fire the event
EventManager.eventName()
下面是一个例子:
def hello(name):
print "Hello {}".format(name)
def greetings(name):
print "Greetings {}".format(name)
EventManager.addEvent( salute = [greetings] )
EventManager.salute += hello
print "\nInitial salute"
EventManager.salute('Oscar')
print "\nNow remove greetings"
EventManager.salute -= greetings
EventManager.salute('Oscar')
输出:
最初的敬礼 问候奥斯卡 你好奥斯卡 现在删除问候语 你好奥斯卡
事件经理代码:
class EventManager:
class Event:
def __init__(self,functions):
if type(functions) is not list:
raise ValueError("functions parameter has to be a list")
self.functions = functions
def __iadd__(self,func):
self.functions.append(func)
return self
def __isub__(self,func):
self.functions.remove(func)
return self
def __call__(self,*args,**kvargs):
for func in self.functions : func(*args,**kvargs)
@classmethod
def addEvent(cls,**kvargs):
"""
addEvent( event1 = [f1,f2,...], event2 = [g1,g2,...], ... )
creates events using **kvargs to create any number of events. Each event recieves a list of functions,
where every function in the list recieves the same parameters.
Example:
def hello(): print "Hello ",
def world(): print "World"
EventManager.addEvent( salute = [hello] )
EventManager.salute += world
EventManager.salute()
Output:
Hello World
"""
for key in kvargs.keys():
if type(kvargs[key]) is not list:
raise ValueError("value has to be a list")
else:
kvargs[key] = cls.Event(kvargs[key])
cls.__dict__.update(kvargs)
其他回答
如果你需要一个跨进程或网络边界的事件总线,你可以尝试PyMQ。它目前支持发布/订阅、消息队列和同步RPC。默认版本工作在一个Redis后端,所以你需要一个运行的Redis服务器。还有一个用于测试的内存后端。您还可以编写自己的后端。
import pymq
# common code
class MyEvent:
pass
# subscribe code
@pymq.subscriber
def on_event(event: MyEvent):
print('event received')
# publisher code
pymq.publish(MyEvent())
# you can also customize channels
pymq.subscribe(on_event, channel='my_channel')
pymq.publish(MyEvent(), channel='my_channel')
初始化系统。
from pymq.provider.redis import RedisConfig
# starts a new thread with a Redis event loop
pymq.init(RedisConfig())
# main application control loop
pymq.shutdown()
声明:我是这个库的作者
另一个方便的包是事件。它将核心封装到事件订阅和事件触发,感觉像是语言的“自然”部分。它似乎类似于c#语言,后者提供了一种方便的方式来声明、订阅和触发事件。从技术上讲,事件是一个“槽”,可以将回调函数(事件处理程序)附加到其中—称为订阅事件的过程。
# Define a callback function
def something_changed(reason):
print "something changed because %s" % reason
# Use events module to create an event and register one or more callback functions
from events import Events
events = Events()
events.on_change += something_changed
触发事件时,将按顺序调用所有附加的事件处理程序。要触发该事件,请对槽位执行调用:
events.on_change('it had to happen')
这将输出:
'something changed because it had to happen'
更多的文档可以在github repo或文档中找到。
如果我在pyQt中做代码,我使用QT套接字/信号范式,django也是如此
如果我正在做异步I/O,我使用本机选择模块
如果我使用SAX python解析器,我使用SAX提供的事件API。所以看起来我是底层API的受害者:-)
也许你应该问问自己,你对事件框架/模块有什么期望。我个人倾向于使用qt中的Socket/Signal范例。更多关于这方面的信息可以在这里找到
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()
如果你想做更复杂的事情,比如合并事件或重试,你可以使用Observable模式和一个成熟的库来实现它。https://github.com/ReactiveX/RxPY。可观察对象在Javascript和Java中非常常见,在一些异步任务中使用非常方便。
from rx import Observable, Observer
def push_five_strings(observer):
observer.on_next("Alpha")
observer.on_next("Beta")
observer.on_next("Gamma")
observer.on_next("Delta")
observer.on_next("Epsilon")
observer.on_completed()
class PrintObserver(Observer):
def on_next(self, value):
print("Received {0}".format(value))
def on_completed(self):
print("Done!")
def on_error(self, error):
print("Error Occurred: {0}".format(error))
source = Observable.create(push_five_strings)
source.subscribe(PrintObserver())
输出:
Received Alpha
Received Beta
Received Gamma
Received Delta
Received Epsilon
Done!