python装饰器应用场景

# -*- coding:utf-8 -*-
# 学习装饰器的一些常用场景

from functools import wraps

def decorator_name(f):
    @wraps(f)
    def decorated(*arg, **kwargs):
        if not can_run:
            return('Function will not run')
        return f(*arg, **kwargs)
    return decorated

@decorator_name
def func():
    return('Function is running')

#can_run = True

#print(func())

can_run = False
print(func())
# 小结：@wraps接受一个函数来进行装饰，并加入了复制函数名称、注释文档、参数列表等功能。
# 这可以让我们在装饰器里面访问在装饰之前的函数的属性
"""
装饰器使用场景-授权（Authorization)
"""
# 装饰器能有助于检查某个人是否被授权去使用一个web应用的端点(endpoint)。它们被大量使用于
# Flask和Django web框架中。这里是一个例子来使用基于装饰器的授权
from functools import wraps

def requires_auth(f):
    @wraps(f)
    def decorated(*args, **kwargs):
        auth = requests.authorization
        if not auth or not check_auth(auth.username, auth.password):
            authenticate()
        return f(*args, **kwargs)
    return decorated

"""
装饰器使用场景-日志(Logging)
"""
# 日志是装饰器运用的另一个亮点，这是个例子

from functools import wraps

def logit(func):
    @wraps(func)
    def with_logging(*args, **kwargs):
        print(func.__name__ + "was called")
        return func(*args, **kwargs)
    return with_logging
@logit
def addition_func(x):
    """Do some math"""
    return x + x

result = addition_func(4)
print(result)

"""
带参数的装饰器-在函数中嵌入装饰器
"""
from functools import wraps

def logit1(logfile='out.log'):
    def logging_decorator(func):
        @wraps(func)
        def wrapped_function(*args, **kwargs):
            log_string = func.__name__ + " was called"
            print(log_string)
            # 打开logfile，并写入内容
            with open(logfile, 'a') as opened_file:
                # 现在将日志打印到指定的logfile
                opened_file.write(log_string + '\n')
            return func(*args, **kwargs)
        return wrapped_function
    return logging_decorator
@logit1(logfile='fun2.log')
def myfun1():
    pass
myfun1()

"""
装饰器类
"""
from functools import wraps

class logit2(object):
    def __init__(self, logfile='out.log'):
        self.logfile = logfile

    def __call__(self, func):
        @wraps(func)
        def wrapped_function(*args, **kwargs):
            log_string = func.__name__ + " was called"
            print(log_string)
            # 打开logfile，并写入内容
            with open(self.logfile, 'a') as opened_file:
                # 现在将日志打印到指定的logfile
                opened_file.write(log_string + '\n')
            # 现在，发送一个通知
            self.notify()
            return func(*args, **kwargs)
        return wrapped_function

    def notify(self):
        print('logit只打日志，不做别的')
        pass

@logit2()
def myfunc2():
    print('调用通知')

print('------')
myfunc2()

# 现在，我们给logit创建子类，来添加email的功能
class email_logit(logit2):
    """
    一个logit的实现版本，可以在函数调用时发送email给管理员
    """
    def __init__(self, email='mecexia@tencent.com', *args, **kwargs):
        self.email = email
        super(email_logit, self).__init__(*args, **kwargs)

    def notify(self):
        # 发送一封email到self.email
        # 这里就不做实现了
        pass

标签：场景,return,python,self,func,kwargs,logfile,装饰,def
来源： https://www.cnblogs.com/relustarry/p/15466039.html