Python中使用 logging 和 traceback 模块记录日志和跟踪异常

-牧野- 2020-11-13 08:02:39
Python 使用 logging 中使 traceback


logging模块

logging模块用于输出运行日志,可以设置不同的日志等级,保存信息到日志文件中等。 相比print,logging可以设置日志的等级,控制在发布版本中的输出内容,并且可以指定日志的输出格式。


1. 使用logging在终端输出日志

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import logging # 引入logging模块
# 设置打印日志级别 CRITICAL > ERROR > WARNING > INFO > DEBUG
logging.basicConfig(level = logging.DEBUG,format = '%(asctime)s - %(name)s
-%(filename)s[line:%(lineno)d] - %(levelname)s - %(message)s')
# 将信息打印到控制台上
logging.debug(u"调试")
logging.info(u"执行打印功能")
logging.warning(u"警告")
logging.error(u"错误")
logging.critical(u"致命错误")

输出

 

2. 使用logging在終端輸出日志,並保存日志到本地log文件

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import logging # 引入logging模块
import os.path
# 第一步,创建一个logger
logger = logging.getLogger()
logger.setLevel(logging.DEBUG) # Log等级开关
# 第二步,创建一个handler,用于写入日志文件
log_path = os.path.dirname(os.getcwd()) + '/Logs/'
log_name = log_path + 'log.log'
logfile = log_name
file_handler = logging.FileHandler(logfile, mode='a+')
file_handler.setLevel(logging.ERROR) # 输出到file的log等级的开关
# 第三步,定义handler的输出格式
formatter = logging.Formatter("%(asctime)s - %(filename)s[line:%(lineno)d] - %(levelname)s: %(message)s")
file_handler.setFormatter(formatter)
# 第四步,将handler添加到logger里面
logger.addHandler(file_handler)
# 如果需要同時需要在終端上輸出,定義一個streamHandler
print_handler = logging.StreamHandler() # 往屏幕上输出
print_handler.setFormatter(formatter) # 设置屏幕上显示的格式
logger.addHandler(print_handler)
# 日志信息
logger.debug('this is a logger debug message')
logger.info('this is a logger info message')
logger.warning('this is a logger warning message')
logger.error('this is a logger error message')
logger.critical('this is a logger critical message')
# 或使用logging
logging.debug('this is a logger debug message')
logging.info('this is a logger info message')
logging.warning('this is a logger warning message')
logging.error('this is a logger error message')
logging.critical('this is a logger critical message')

 

日志等级划分

  • FATAL:致命错误
  • CRITICAL:特别糟糕的事情,如内存耗尽、磁盘空间为空,一般很少使用
  • ERROR:发生错误时,如IO操作失败或者连接问题
  • WARNING:发生很重要的事件,但是并不是错误时,如用户登录密码错误
  • INFO:处理请求或者状态变化等日常事务
  • DEBUG:调试过程中使用DEBUG等级,如算法中每个循环的中间状态

 

traceback模块

traceback是python中用来跟踪异常信息的模块,方便把程序中的运行异常打印或者保存下来做异常分析。

常见用法

try:
doSomething()
except:
traceback.print_exc()
# logging.error(str(traceback.format_exc()))

 

traceback.format_exc() 与 traceback.print_exc() 区别:

  1.    traceback.format_exc() 返回异常信息的字符串,可以用来把信息记录到log里;
  2.    traceback.print_exc() 直接把异常信息在终端打印出来;

traceback.print_exc() 也可以实现把异常信息写入文件,使用方法:

 traceback.print_exc(file=open('traceback_INFO.txt','w+'))
版权声明
本文为[-牧野-]所创,转载请带上原文链接,感谢
https://blog.csdn.net/dcrmg/article/details/88800685

  1. 利用Python爬虫获取招聘网站职位信息
  2. Using Python crawler to obtain job information of recruitment website
  3. Several highly rated Python libraries arrow, jsonpath, psutil and tenacity are recommended
  4. Python装饰器
  5. Python实现LDAP认证
  6. Python decorator
  7. Implementing LDAP authentication with Python
  8. Vscode configures Python development environment!
  9. In Python, how dare you say you can't log module? ️
  10. 我收藏的有关Python的电子书和资料
  11. python 中 lambda的一些tips
  12. python中字典的一些tips
  13. python 用生成器生成斐波那契数列
  14. python脚本转pyc踩了个坑。。。
  15. My collection of e-books and materials about Python
  16. Some tips of lambda in Python
  17. Some tips of dictionary in Python
  18. Using Python generator to generate Fibonacci sequence
  19. The conversion of Python script to PyC stepped on a pit...
  20. Python游戏开发,pygame模块,Python实现扫雷小游戏
  21. Python game development, pyGame module, python implementation of minesweeping games
  22. Python实用工具,email模块,Python实现邮件远程控制自己电脑
  23. Python utility, email module, python realizes mail remote control of its own computer
  24. 毫无头绪的自学Python,你可能连门槛都摸不到!【最佳学习路线】
  25. Python读取二进制文件代码方法解析
  26. Python字典的实现原理
  27. Without a clue, you may not even touch the threshold【 Best learning route]
  28. Parsing method of Python reading binary file code
  29. Implementation principle of Python dictionary
  30. You must know the function of pandas to parse JSON data - JSON_ normalize()
  31. Python实用案例,私人定制,Python自动化生成爱豆专属2021日历
  32. Python practical case, private customization, python automatic generation of Adu exclusive 2021 calendar
  33. 《Python实例》震惊了,用Python这么简单实现了聊天系统的脏话,广告检测
  34. "Python instance" was shocked and realized the dirty words and advertisement detection of the chat system in Python
  35. Convolutional neural network processing sequence for Python deep learning
  36. Python data structure and algorithm (1) -- enum type enum
  37. 超全大厂算法岗百问百答(推荐系统/机器学习/深度学习/C++/Spark/python)
  38. 【Python进阶】你真的明白NumPy中的ndarray吗?
  39. All questions and answers for algorithm posts of super large factories (recommended system / machine learning / deep learning / C + + / spark / Python)
  40. [advanced Python] do you really understand ndarray in numpy?
  41. 【Python进阶】Python进阶专栏栏主自述:不忘初心,砥砺前行
  42. [advanced Python] Python advanced column main readme: never forget the original intention and forge ahead
  43. python垃圾回收和缓存管理
  44. java调用Python程序
  45. java调用Python程序
  46. Python常用函数有哪些?Python基础入门课程
  47. Python garbage collection and cache management
  48. Java calling Python program
  49. Java calling Python program
  50. What functions are commonly used in Python? Introduction to Python Basics
  51. Python basic knowledge
  52. Anaconda5.2 安装 Python 库(MySQLdb)的方法
  53. Python实现对脑电数据情绪分析
  54. Anaconda 5.2 method of installing Python Library (mysqldb)
  55. Python implements emotion analysis of EEG data
  56. Master some advanced usage of Python in 30 seconds, which makes others envy it
  57. python爬取百度图片并对图片做一系列处理
  58. Python crawls Baidu pictures and does a series of processing on them
  59. python链接mysql数据库
  60. Python link MySQL database