python 装饰器
1.在执行目标函数前附加一些内容或者功能:
def demo(func): print('before exec %s '%func.__name__) func() print('after exec %s '%func.__name__) return func def func(): print('hello world') func = demo(func) func()
2.使用语法糖@来装饰函数
def demo(func): print('before exec %s '%func.__name__) func() print('after exec %s '%func.__name__) return func @demo def func(): print('hello world') func()
3.使用内嵌包装饰函数保证每次新函数都被调用
def demo(func): def inner(): print('before exec %s '%func.__name__) func() print('after exec %s '%func.__name__) return inner @demo def func(): print('hello world') func()
4.对带参数的函数进行装饰
def demo(func): def inner(a,b): print('before exec %s '%func.__name__) ret = func(a,b) print('after exec %s '%func.__name__) return ret return inner @demo def func(a,b): print('hello world') return a+b print(func(1,2))
5.对参数数量不确定的函数进行装饰
def demo(func): def inner(*args,**kwargs): print('before exec %s '%func.__name__) ret = func(*args,**kwargs) print('after exec %s '%func.__name__) return ret return inner @demo def func(a,b): print('hello world func') return a+b @demo def func1(a,b,c): print('hello world func1') return a+b+c print(func(1,2)) print(func1(1,2,3))
6.装饰器带参数
def demo(arg): def warper(func): def inner(*args,**kwargs): print('before exec %s %s'%(func.__name__,arg)) ret = func(*args,**kwargs) print('after exec %s %s '%(func.__name__,arg)) return ret return inner return warper @demo('qq') def func(a,b): print('hello world func') return a+b @demo('wechat') def func1(a,b,c): print('hello world func1') return a+b+c print(func(1,2)) print(func1(1,2,3))
7.多个装饰器装饰一个函数
def wrapper1(func): def inner(): print('wrapper1 ,before func') func() print('wrapper1 ,after func') return inner def wrapper2(func): def inner(): print('wrapper2 ,before func') func() print('wrapper2 ,after func') return inner @wrapper2 @wrapper1 def f(): print('in f') f()
8.装饰器带类参数
'''''示例: 装饰器带类参数''' class locker: def __init__(self): print("locker.__init__() should be not called.") @staticmethod def acquire(): print("locker.acquire() called.(这是静态方法)") @staticmethod def release(): print(" locker.release() called.(不需要对象实例)") def deco(cls): '''''cls 必须实现acquire和release静态方法''' def _deco(func): def __deco(): print("before %s called [%s]." % (func.__name__, cls)) cls.acquire() try: return func() finally: cls.release() return __deco return _deco @deco(locker) def myfunc(): print(" myfunc() called.") myfunc() myfunc()
9.装饰器带类参数,并分拆公共类到其他py文件中,同时演示了对一个函数应用多个装饰器
class mylocker: def __init__(self): print("mylocker.__init__() called.") @staticmethod def acquire(): print("mylocker.acquire() called.") @staticmethod def unlock(): print(" mylocker.unlock() called.") class lockerex(mylocker): @staticmethod def acquire(): print("lockerex.acquire() called.") @staticmethod def unlock(): print(" lockerex.unlock() called.") def lockhelper(cls): '''''cls 必须实现acquire和release静态方法''' def _deco(func): def __deco(*args, **kwargs): print("before %s called." % func.__name__) cls.acquire() try: return func(*args, **kwargs) finally: cls.unlock() return __deco return _deco
'''''装饰器带类参数,并分拆公共类到其他py文件中 同时演示了对一个函数应用多个装饰器''' from mylocker import * class example: @lockhelper(mylocker) def myfunc(self): print(" myfunc() called.") @lockhelper(mylocker) @lockhelper(lockerex) def myfunc2(self, a, b): print(" myfunc2() called.") return a + b if __name__=="__main__": a = example() a.myfunc() print(a.myfunc()) print(a.myfunc2(1, 2)) print(a.myfunc2(3, 4))