python装饰器相当于函数的调用方式
(编辑:jimmy 日期: 2024/11/20 浏览:3 次 )
1. 普通装饰器
import logging 1. foo = use_loggine(foo) def use_loggine(func): def wrapper(): logging.warn("%s is running " % func.__name__) return func() return wrapper @use_loggine def foo(): print "aaa" foo() print foo.__name__
2. func 需要参数:
foo = use_loggine(foo) 第一个参数就是func这个函数对象,不包含参数foo(params) def use_loggine(func): def wrapper(name): logging.warn("%s is running " % func.__name__) return func(name) return wrapper @use_loggine def foo(name): print "name is %s" % name
3. 装饰器带参数
foo = use_logging('warn')(foo) 还是把被装饰的函数当做参数赋给装饰器 def use_logging(level): def decorator(func): def wrapper(*args, **kwargs): if level == 'warn': logging.warn("%s is running" % func.__name__) elif level == 'info': logging.warn("%s is running" % func.__name__) return func(*args) return wrapper return decorator @use_logging('warn') def foo(name): print "i am %s" % name foo = use_logging('warn')(foo) print foo.__name__ foo('foo')
4. 类装饰器,还是把被装饰的函数当做参数赋给装饰器
foo = Foo(params)(func) class Foo(object): def __init__(self, name): self.name = name def __call__(self, func): def aa(): print "class decorator running" print "name is :%s" % self.name func() print 'class decorator ending' return aa @Foo("hello") def bar(): print "world" bar() @deco def foo() pass foo = deco(foo) @deco(xx) def foo(): pass foo = deco(xx)(foo)
5. 类方法装饰器
类方法装饰器和其他装饰器没有什么区别,只不过在装饰器内部返回的函数中,第一个参数是固定的,是调用方法的对象本身,如
果是实例对象,就是self,是类方法的话,就是cls,静态方法的话,没有第一个参数。
from functools import wraps def method_decor(func): @wraps(func) def wrapper(*args, **kwargs): try: u = func(*args, **kwargs) return u except Exception as e: args[0].bb() # args[0]就是self或者cls。可以在args前面定义self,更加方便u = func(self,*args, **kwargs) return 'an Exception raised.' return wrapper class Foo(object): @method_decor def aa(self): # print("This is wraped method") raise Exception('aa') def bb(self): print("This is called method") a = Foo() a.aa()
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