Python 标准库 logging 用作记录日志,默认分为六种日志级别(括号为级别对应的数值),NOTSET(0)、DEBUG(10)、INFO(20)、WARNING(30)、ERROR(40)、CRITICAL(50)。我们自定义日志级别时注意不要和默认的日志级别数值相同,logging 执行时输出大于等于设置的日志级别的日志信息,如设置日志级别是 INFO,则 INFO、WARNING...
handlers=consoleHandler [logger_simpleExample] level=DEBUG handlers=consoleHandler qualname=simpleExample propagate=0 [handler_consoleHandler] class=StreamHandler level=DEBUG formatter=simpleFormatter args=(sys.stdout,) [formatter_simpleFormatter] format=%(asctime)s - %(name)s - %(levelname)s - %(messa...
[logger_root] level=DEBUG handlers=consoleHandler [logger_simpleExample] level=DEBUG handlers=consoleHandler qualname=simpleExample propagate=0 [handler_consoleHandler] class=StreamHandler level=DEBUG formatter=simpleFormatter args=(sys.stdout,) [formatter_simpleFormatter] format=%(asctime)s - %(name)s -...
ch.setLevel(logging.DEBUG)# add formatter to chch.setFormatter(formatter)# create loggerlogger = logging.getLogger('simple_example') logger.setLevel(logging.DEBUG)# add ch to loggerlogger.addHandler(ch)# 'application' codelogger.debug('debug message') 以上代码先创建了一个formatter,然后把它添加至h...
Python编程:标准库logging使用 一、 基础使用 1.1 logging使用场景 日志是什么?这个不用多解释。百分之九十的程序都需要提供日志功能。Python内置的logging模块,为我们提供了现成的高效好用的日志解决方案。但是,不是所有的场景都需要使用logging模块,下面是Python官方推荐的使用方法: ...
logger = logging.getLogger('simpleExample') #'application'code logger.debug('debug message') logger.info('info message') logger.warn('warn message') logger.error('error message') logger.critical('critical message') # 输出 $ python simple_logging_config.py2005-03-1915:38:55,977- simpleExampl...
logger=logging.getLogger("simple_example")logger.setLevel(logging.DEBUG)# 建立一个filehandler来把日志记录在文件里,级别为debug以上 fh=logging.FileHandler("spam.log")fh.setLevel(logging.DEBUG)# 建立一个streamhandler来把日志打在CMD窗口上,级别为error以上 ...
logging.basicConfig(filename='example.log',filemode='w',level=logging.DEBUG) 设置日志显示格式 上面完成了输出日志到控制台,输出日志到文件,而日志格式呢都是固定的,如果我们想自定义日志格式呢,官方也提供了解决方案。 一个官方给的例子: importlogging logging.basicConfig(format='%(levelname)s:%(message)s...
Using Loguru you have no excuse not to use logging from the start, this is as simple as from loguru import logger. Also, this library is intended to make Python logging less painful by adding a bunch of useful functionalities that solve caveats of the standard loggers. Using logs in your...
Using Loguru you have no excuse not to use logging from the start, this is as simple as from loguru import logger. Also, this library is intended to make Python logging less painful by adding a bunch of useful functionalities that solve caveats of the standard loggers. Using logs in your...