f_handler.setFormatter(logging.Formatter("%(asctime)s - %(levelname)s - %(filename)s[:%(lineno)d] - %(message)s")) # 把相应的处理器组装到logger上 logger.addHandler(rf_handler) logger.addHandler(f_handler) logger.debug('debug message') ('info message') logger.warning('warning message...
比如:logger.critical("Houston, we have a %s", "major disaster", exc_info=1) exception(message[, *args]) self.error(*((msg,) + args), **{‘exc_info‘: 1}) log(log_level, log_message, [*args[, **kwargs]]) 使用整型的级别level,记录log_message % args。为了记录异常信息,需要将...
logger1 = logging.getLogger('mylogger') logger1.setLevel(logging.DEBUG) logger2 = logging.getLogger('mylogger') logger2.setLevel(logging.INFO) logger3 = logging.getLogger('mylogger.child1') logger3.setLevel(logging.WARNING) logger4 = logging.getLogger('mylogger.child1.child2') logger4.setLeve...
23 self.logger.info("finish something in SonModuleClass") 24 25 def som_function(): 26 module_logger.info("call function some_function") 文件配置logging模块 1、通过logging.config模块配置日志构造信息 logger.conf文件: [loggers] keys = root, example01, example02 [logger_root] level = DEBUG ...
= logging.StreamHandler() handler.setLevel(logging.INFO) # 创建Formatter对象,设置日志格式 formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) #将Handler对象添加到Logger对象中 logger.addHandler(handler) # 输出日志 logger.debug...
logger = logging.getLogger(__name__) logger.setLevel(logging.INFO) logger.info("this is foo") 这里我只设置foo这个记录器的级别为INFO bar.py import logging logger = logging.getLogger(__name__) logger.info("this is bar") 其它子模块都是像bar.py一样类似的代码,都没有设置日志级别,最后的输出...
#1. 创建logger实例 logger = logging.getLogger('logtop') #2. 设置logger实例的等级 logger.setLevel(logging.INFO) #3. 创建formatter formatter = logging.Formatter('%(asctime)s - %(name)s - %(lineno)d - %(levelname)s - %(message)s') ...
Filter可以被Handler和Logger用来做比level更细粒度的、更复杂的过滤功能。 日志流简要处理流程(按照日志时间切割) 1、创建一个logger,如果参数为空则返回root logger logger = logging.getLogger('') 2、设置下logger的日志的等级 logger.setLevel(logging.DEBUG) ...
logger=logging.getLogger("my_logger")# 创建一个处理程序,并将其关联到日志记录器 stream_handler=logging.StreamHandler()logger.addHandler(stream_handler)# 创建一个格式器,并将其关联到处理程序 formatter=logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')stream_handler.setFormatter(formatt...
# Acquire the logger for a library (azure.mgmt.resource in this example) logger = logging.getLogger('azure.mgmt.resource') # Set the desired logging level logger.setLevel(logging.DEBUG) 此示例获取 azure.mgmt.resource 库的记录器,然后将日志记录级别设置为 logging.DEBUG。 你可以随时调用 logger....