importloggingdefmain()->None:logger=logging.getLogger(__name__)logger.setLevel(logging.DEBUG)formatter=logging.Formatter('%(asctime)s-%(levelname)s-%(message)s')console_handler=logging.StreamHandler()console_handler.setLevel(logging.INFO)console_handler.setFormatter(formatter)file_handler=logging.FileH...
Logger-level+debug(message)+info(message)+warning(message)+error(message)+critical(message)Handler-level+setLevel(level)+setFormatter(formatter) 5. 小结 通过使用logging模块,我们能够灵活地根据日志等级将不同的日志信息输出到不同的文件中。以上脚本能够满足基本的需求,但在实际应用中,你可能还想要实现如日志...
Loggerobjects have a threefold job. First, they expose several methods to application code so that applications can log messages at runtime. Second, logger objects determine which log messages to act upon based upon severity (the default filtering facility) or filter objects. Third, logger objects...
(logging.DEBUG) # 创建一个格式化字符串 formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s') # 将格式化字符串应用到处理程序 file_handler.setFormatter(formatter) console_handler.setFormatter(formatter) # 添加处理程序到Logger对象 logger = logging.getLogger(__name__) ...
importloggingimportsysdeftest_log_level():# set default logging configurationlogger = logging.getLogger()# initialize logging classlogger.setLevel(logging.DEBUG)# default log levelformat= logging.Formatter("%(asctime)s - %(message)s")# output formatsh = logging.StreamHandler(stream=sys.stdout)# ou...
logging.basicConfig(level=logging.DEBUG #设置日志输出格式 ,filename="demo.log" #log日志输出的文件位置和文件名 ,filemode="w" #文件的写入格式,w为重新写入文件,默认是追加 ,format="%(asctime)s - %(name)s - %(levelname)-9s - %(filename)-8s : %(lineno)s line - %(message)s" #日志输出...
logger = logging.getLogger() # initialize logging class logger.setLevel(logging.DEBUG) # default log level format = logging.Formatter("%(asctime)s - %(message)s") # output format sh = logging.StreamHandler(stream=sys.stdout) # output to standard output sh.setFormatter(format)logger...
Python的logging模块提供通用的日志系统,可供第三方模块或者应用使用。logging模块定义了不同的日志级别和记录日志的方式。logging模块包括logger、handler、filter、formatter四个组件。 在formatter中定义日志输出格式,采用%(key)s形式。 示例如下: import logging import logging.handlers LOG_FILE = 'tst.log' handler ...
This can be set to the function's current invocation_id to ensure the context is changed. Python Copy import azure.functions as func import logging import threading def main(req, context): logging.info('Python HTTP trigger function processed a request.') t = threading.Thread(target=log_...
import azure.functions as func import logging import threading def main(req, context): logging.info('Python HTTP trigger function processed a request.') t = threading.Thread(target=log_function, args=(context,)) t.start() def log_function(context): context.thread_local_storage.invocation_id ...