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python之理解装饰器

时间:2019-11-14 15:43:15      阅读:70      评论:0      收藏:0      [点我收藏+]

装饰器是修改其他函数的函数。好处是可以让你的函数更简洁。

一步步理解这个概念:

一、一切皆对象。

def hi(name="yasoob"):
    return "hi " + name
 
print(hi())
# output: ‘hi yasoob‘
 
# 我们甚至可以将一个函数赋值给一个变量,比如
greet = hi
# 我们这里没有在使用小括号,因为我们并不是在调用hi函数
# 而是在将它放在greet变量里头。我们尝试运行下这个
 
print(greet())
# output: ‘hi yasoob‘
 
# 如果我们删掉旧的hi函数,看看会发生什么!
del hi
print(hi())
#outputs: NameError
 
print(greet())
#outputs: ‘hi yasoob‘

二、函数中定义函数

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def hi(name="yasoob"):
    print("now you are inside the hi() function")
 
    def greet():
        return "now you are in the greet() function"
 
    def welcome():
        return "now you are in the welcome() function"
 
    print(greet())
    print(welcome())
    print("now you are back in the hi() function")
 
hi()
#output:now you are inside the hi() function
#       now you are in the greet() function
#       now you are in the welcome() function
#       now you are back in the hi() function
 
# 上面展示了无论何时你调用hi(), greet()和welcome()将会同时被调用。
# 然后greet()和welcome()函数在hi()函数之外是不能访问的,比如:
 
greet()
#outputs: NameError: name ‘greet‘ is not defined
View Code

三、函数中返回函数

def hi(name="yasoob"):
    def greet():
        return "now you are in the greet() function"
 
    def welcome():
        return "now you are in the welcome() function"
 
    if name == "yasoob":
        return greet
    else:
        return welcome
 
a = hi()
print(a)
#outputs: <function greet at 0x7f2143c01500>
 
#上面清晰地展示了`a`现在指向到hi()函数中的greet()函数
#现在试试这个
 
print(a())
#outputs: now you are in the greet() function

四、函数作为参数传递

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def hi():
    return "hi yasoob!"
 
def doSomethingBeforeHi(func):
    print("I am doing some boring work before executing hi()")
    print(func())
 
doSomethingBeforeHi(hi)
#outputs:I am doing some boring work before executing hi()
#        hi yasoob!
View Code

五、第一个装饰器

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def a_new_decorator(a_func):
 
    def wrapTheFunction():
        print("I am doing some boring work before executing a_func()")
 
        a_func()
 
        print("I am doing some boring work after executing a_func()")
 
    return wrapTheFunction
 
def a_function_requiring_decoration():
    print("I am the function which needs some decoration to remove my foul smell")
 
a_function_requiring_decoration()
#outputs: "I am the function which needs some decoration to remove my foul smell"
 
a_function_requiring_decoration = a_new_decorator(a_function_requiring_decoration)
#now a_function_requiring_decoration is wrapped by wrapTheFunction()
 
a_function_requiring_decoration()
#outputs:I am doing some boring work before executing a_func()
#        I am the function which needs some decoration to remove my foul smell
#        I am doing some boring work after executing a_func()
View Code

六、使用@符号

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@a_new_decorator
def a_function_requiring_decoration():
    """Hey you! Decorate me!"""
    print("I am the function which needs some decoration to "
          "remove my foul smell")
 
a_function_requiring_decoration()
#outputs: I am doing some boring work before executing a_func()
#         I am the function which needs some decoration to remove my foul smell
#         I am doing some boring work after executing a_func()
 
#the @a_new_decorator is just a short way of saying:
a_function_requiring_decoration = a_new_decorator(a_function_requiring_decoration)
View Code

七、遇到问题

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print(a_function_requiring_decoration.__name__)
# Output: wrapTheFunction
View Code

八、解决问题

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from functools import wraps
 
def a_new_decorator(a_func):
    @wraps(a_func)
    def wrapTheFunction():
        print("I am doing some boring work before executing a_func()")
        a_func()
        print("I am doing some boring work after executing a_func()")
    return wrapTheFunction
 
@a_new_decorator
def a_function_requiring_decoration():
    """Hey yo! Decorate me!"""
    print("I am the function which needs some decoration to "
          "remove my foul smell")
 
print(a_function_requiring_decoration.__name__)
# Output: a_function_requiring_decoration
View Code

九、蓝本规范

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from functools import wraps
def decorator_name(f):
    @wraps(f)
    def decorated(*args, **kwargs):
        if not can_run:
            return "Function will not run"
        return f(*args, **kwargs)
    return decorated
 
@decorator_name
def func():
    return("Function is running")
 
can_run = True
print(func())
# Output: Function is running
 
can_run = False
print(func())
# Output: Function will not run
View Code

十、使用场景

(1)授权(Authorization)

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from functools import wraps
 
def requires_auth(f):
    @wraps(f)
    def decorated(*args, **kwargs):
        auth = request.authorization
        if not auth or not check_auth(auth.username, auth.password):
            authenticate()
        return f(*args, **kwargs)
    return decorated
View Code

 

python之理解装饰器

原文:https://www.cnblogs.com/python-xuehb/p/11857532.html

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