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...
defset_logging_level(level):# 定义一个动态修改日志级别的函数logger.setLevel(level)# 设置 logger 的日志级别logger.info("Logging level set to: %s",level)# 记录级别修改的信息 1. 2. 3. 此函数用于动态修改 logger 的日志级别,并记录一条信息以确认修改。 6. 记录日志信息 logger.debug("This is a...
This function does nothing if the root logger already has handlers configured. It is a convenience method intended for use by simple scripts to do one-shot configuration of the logging package. The default behaviour is to create a StreamHandler which writes to sys.stderr, set a formatter using...
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') 添加formatter到handler fh.setFormatter(formatter) ch.setFormatter(formatter) 添加handler到logger logger.addHandler(fh) logger.addHandler(ch) 几种日志输出方式 ...
#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') ...
= 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("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...
logger.add(sys.stdout,level="INFO",format="{time:YYYY-MM-DD HH:mm:ss}|{level}|{module}:{function}:{line}-{message}",) 日志保存 在中,实现日志保存与日志打印需要两个额外的类,和 importlogging logging.basicConfig(level=logging.DEBUG,format="%(asctime)s|%(levelname)s|%(module)s:%(func...
# 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....