import logging# 创建 loggerlogger = logging.getLogger(__name__)logger.setLevel(logging.DEBUG)# 创建 console handler 并设置级别为 INFOconsole_handler = logging.StreamHandler()console_handler.setLevel(logging.INFO)# 创建 file handler 并设置级别为 WARNINGfile_handler = logging.FileHandler('my_log.log'...
logging.debug(line.rstrip()) 运行结果: 1 2 3 4 5 6 7 8 9 10 11 DEBUG Logging pformatted data DEBUG [(1, {'a': 'A', 'b': 'B', 'c': 'C', 'd': 'D'}), DEBUG (2, DEBUG {'e': 'E', DEBUG 'f': 'F', DEBUG 'g': 'G', DEBUG 'h': 'H', DEBUG 'i': '...
logging.debug('Logging pformatted data') formatted = pformat(data) for line in formatted.splitlines(): logging.debug(line.rstrip()) 然后可以单独打印这个格式化的字符串或者记入日志。 DEBUG Logging pformatted data DEBUG [(1, {'a': 'A', 'b': 'B', 'c': 'C', 'd': 'D'}), DEBUG (...
logging.warning('warning message') logging.error('error message') logging.critical('critical message') 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 默认情况下Python的logging模块将日志打印到了标准输出中,且只显示了大于等于WARNING级别的日志,这说明默认的日志级别设置为WARNING(日...
pout.ss(arg1, [arg2, ...]) -- easy way to return pretty versions of variables without meta information Just likepout.vv()but will return the value as a string pout.l([logger_name, [logger_level]]) -- turn logging on just for this context ...
暗线:介绍了 print 的竞争对手们,像传统的日志模块 logging、调试模块 pdb、主流 IDE 的调试功能,以及后起之秀 PySnooper,它们瞄准着 print 的位置,摩拳擦掌,虎视眈眈。 本文依然跟 print 相关,想介绍的是标准库中的pprint模块。 (未经授权,请勿转载。文章首发于:https://mp.weixin.qq.com/s/d1dQH1Fqaj...
如何扩展python的logging组件支持json日志输出 这两天在优化公司一个python的项目,顺便研究了一下如何将python日志转成json格式,原来在Java的项目中搞过类似的事情,知道日志转成json之后有很多便利的之处,最常见的就是可以直接对接各种日志分析系统,如开源的ELK,将数据导入之后就能快速的进行查询和分析,方便做各种统计,...
Temporarily stop logging. %logon: Restart logging. %logstart: Start logging anywhere in a session. %logstate: Print the status of the logging system. %logstop: Fully stop logging and close log file. %ls: Alias for `!dir /on` %lsmagic: ...
Cleverly, if the logging package encounters an exception that has to do with logging itself, then it will print the traceback but not raise the exception itself. Here’s an example that deals with a common typo: passing two arguments to a format string that is only expecting one argument....
Did you ever feel lazy about configuring a logger and used print() instead?... I did, yet logging is fundamental to every application and eases the process of debugging. Using Loguru you have no excuse not to use logging from the start, this is as simple as from loguru import logger.Al...