python装饰器的做用是在不改变原有函数的基础上,对函数的功能进行增长或者修改。python
装饰器语法是python语言更加优美且避免不少繁琐的事情,flask中配置路由的方式即是装饰器。flask
首先python中一个函数也是能够当作一个对象进行传递的。函数
1 def sheep(f): 2 def she(): 3 print("I'm a sheep") 4 return f() 5 return she 6 7 @sheep 8 def wolf(): 9 print("I'm a wolf") 10 11 if __name__ == "__main__": 12 wolf()
输出结果为spa
I'm a sheep I'm a wolf
上面代码至关于 code
wolf = sheep(wolf)
wolf()
带参数的装饰器orm
1 def change(a): 2 def sheep(f): 3 def she(): 4 print("I'm a sheep") 5 f() 6 print("you're not ,you're {} sheep".format(a)) 7 return she 8 return sheep 9 10 @change("fake") 11 def wolf(): 12 print("I'm a wolf") 13 14 if __name__ == "__main__": 15 wolf()
结果:对象
I'm a sheep I'm a wolf you're not ,you're fake sheep
至关于blog
wolf = change("fake")(wolf) wolf()
其实函数名此时发生了改变路由
wolf.__name__的值为sheform
解决办法为使用functools.wraps
1 import functools 2 3 def change(a): 4 def sheep(f): 5 @functools.wraps(f) 6 def she(): 7 print("I'm a sheep") 8 f() 9 print("you're not ,you're {} sheep".format(a)) 10 return she 11 return sheep 12 13 def wolf(): 14 print("I'm a wolf") 15 16 if __name__ == "__main__": 17 wolf = change("fake")(wolf) 18 wolf()