importlogging# 1、创建一个loggerlogger=logging.getLogger('mylogger')logger.setLevel(logging.DEBUG)# 2、创建一个handler,用于写入日志文件fh=logging.FileHandler('test.log')fh.setLevel(logging.DEBUG)# 再创建一个handler,用于输出到控制台ch=logging.StreamHandler()ch.setLevel(logging.DEBUG)# 3、定义handler...
logger = logging.getLogger('simple_example') logger.setLevel(logging.DEBUG) # 第二步:创建Handler并设置 ch = logging.StreamHandler() ch.setLevel(logging.DEBUG) # 第三步:创建Formatter formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') # 第四步:将Form...
logging.basicConfig(filename=log_filename,filemode='w',level=logging.DEBUG) logging.info('***') logging.debug('debug') logging.info('info') logging.info('***') logging.debug('debug') logging.info('info') logging.debug('debug') logging.info('***') 1. 2. 3. 4. 5. 6. 7. 8....
importlogging logging.basicConfig(filename="example.log", filemode="a", format="%(levelname)s:%(message)s", level=logging.DEBUG) logging.debug(">>>Log Message: %s, %s"% ("Hello","I'm debug log")) logging.info(">>>Log Message: %s, %s"% ("Hello","I'm info log")) logging.w...
logging.critical('critical message') 输出: WARNING:root:warning message ERROR:root:error message CRITICAL:root:critical message 可见,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(日志级别等级CRITICAL > ERROR > WARNING > INF...
For example, the string "CRITICAL" maps to CRITICAL. The returned mapping is copied from an internal mapping on each call to this function. 3.11 新版功能. logging.getLevelName(level) 返回日志记录级别 level 的字符串表示。 如果level 为预定义的级别 CRITICAL, ERROR, WARNING, INFO 或DEBUG 之一...
logging.basicConfig(filename='example.log',level=logging.DEBUG) logging.debug('This message should go to the log file') logging.info('So should this') logging.warning('And this, too') 结果就是,产生一个example.log 文件,内容为 DEBUG:root:This message should go to the log file ...
In [1]: import logging In [2]: import logging.handlers In [3]: from logging.handlers import SysLogHandler Python 3.x has native support for syslog, so you don’t need to install additional libraries. But you need to import the Python logging library into your code, which is on line ...
Many of the more elaborate log handlers in the logging library can easily block the application, causing outages simply because the logging infrastructure was unresponsive. For these reasons, it is often best to keep the logging configuration of an application as simple as possible. A growing ...
logging.basicConfig()函数中可通过具体参数来更改logging模块默认行为,可用参数有 filename:用指定的文件名创建FiledHandler(后边会具体讲解handler的概念),这样日志会被存储在指定的文件中。 filemode:文件打开方式,在指定了filename时使用这个参数,默认值为“a”还可指定为“w”。 format:指定handler使用的日志显示格式...