其中qualname是必须提供的option,它表示在logger层级中的名字,在应用代码中通过这个名字得到logger;propagate是可选项,其默认是为1,表示消息将会传递给高层次logger的handler,通常我们需要指定其值为0,否则日志记录会传递给上级的root logger再次做处理;另外,对于非root logger的level如果设置为NOTSET,系统将会查找高层次的...
Logger.setLevel(level=LOG_LEVELS.get('info')) Logger.info('Kivy v%s'% (__version__))#: Global settings options for kivykivy_options = {'window': ('egl_rpi','pygame','sdl','x11'),'text': ('pil','pygame','sdlttf'),'video': ('gstplayer','ffmpeg','gi','pygst','pyglet','...
import sysimport logginglogger = logging.getLogger("example")logger.setLevel(logging.DEBUG)# Create handlers for logging to the standard output and a filestdoutHandler = logging.StreamHandler(stream=sys.stdout)errHandler = logging.FileHandler("error.log")# Set the log levels on the handlersstdoutHan...
By leveraging different log levels, you can control where you log information. When you do so, it’s important to remember that handlers can never log levels below their logger’s log level. Instead, handlers log any level above the set log level....
We also create a formatter that specifies the log message format and add it to the handler. Finally, we add the handler to the logger and log some example messages at different levels. StreamHandler StreamHandleris a handler that sends log records to a stream, such as the console or a file...
elif log_level == 'critical': logger.critical(log_name) valid_levels = ['error', '...
Yet another python logger that aims to: Simplify logging setup - down to config and a single line Be minimal - single file, no dependencies Support console and file logging with different log levels, different format and file rotation out of the box Prettify an align console output to be mor...
More logging methods are available that let you write to the console at different trace levels:Expand table MethodDescription critical(_message_) Writes a message with level CRITICAL on the root logger. error(_message_) Writes a message with level ERROR on the root logger. warning(_message_...
Not all log levels are available for all MSAL libraries. Personal and organizational data By default, the MSAL logger doesn't capture any highly sensitive personal or organizational data. The library provides the option to enable logging personal and organizational data if you decide to do so. ...
Finally, one can have multiple log files with different formats and log levels. This can be done either on initialization state, or later on withaddFileLoggermethod: # On init:fileSpecs=[ {"filename":LOGFILE,"level":logging.DEBUG,"format":"json"}, {"filename":LOGFILE2,"level":logging...