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 logginglogging.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_recorderdef first_func(): print "I'm first_function. I'm doing something..."@time_recorderdef 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_funcI'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_funcI'm second_function. I'm doing something...[2014-04-01 18:02:13,725] Finish executing function: second_func

更多关于Python相关内容感兴趣的读者可查看本站专题：《Python函数使用技巧总结》、《Python字符串操作技巧汇总》、《Python入门与进阶经典教程》及《Python文件与目录操作技巧汇总》

希望本文所述对大家Python程序设计有所帮助。