怎么样通过Python使用logging结合decorator模式实现优化日志输出？
怎么样通过Python使用logging结合decorator模式实现优化日志输出？
本文实例讲述了Python使用logging结合decorator模式实现优化日志输出的方法。分享给大家供大家参考，具体如下：
python内置的loging模块非常简便易用, 很适合程序运行日志的输出。
而结合python的装饰器模式，则可实现简明实用的代码。测试代码如下所示:
#! /usr/bin/env python2.7
# -*- encoding: utf-8 -*-
import logging
logging.basicConfig(format='[%(asctime)s] %(message)s', level=logging.INFO)
def time_recorder(func):
"""装饰器, 用在func方法执行前后, 增加运行信息"""
def wrapper():
logging.info("Begin to execute function: %s" % func.__name__)
func()
logging.info("Finish executing function: %s" % func.__name__)
return wrapper
@time_recorder
def first_func():
print "I'm first_function. I'm doing something..."
@time_recorder
def second_func():
print "I'm second_function. I'm doing something..."
if __name__ == "__main__":
first_func()
second_func()
运行并得到输出:
[2014-04-01 18:02:13,724] Begin to execute function: first_func I'm first_function. I'm doing something... [2014-04-01 18:02:13,725] Finish executing function: first_func [2014-04-01 18:02:13,725] Begin to execute function: second_func I'm second_function. I'm doing something... [2014-04-01 18:02:13,725] Finish executing function: second_func
希望本文所述对大家Python程序设计有所帮助。