,logging.getLevelName(logging.WARNING)) logging.error("This is an %s message.",logging.getLevelName(logging.ERROR)) logging.critical("This is a %s message.",logging.getLevelName(logging.CRITICAL)) logging.log(l
logging.basicConfig(level=logging.DEBUG) logging.debug('这是一条DEBUG日志信息')logging.info('这是一条INFO日志信息')logging.warning('这是一条WARNING日志信息')logging.error('这是一条ERROR日志信息')logging.critical('这是一条CRITICAL日志信息')输出结果:D:\python\python.exe D:/python/project/test_l...
) return "wechat" def main(): logging.basicConfig(filename='myapp.log', level=logging.INFO) tag=show() logging.info('Started %s'%tag) logging.info('Finished %s'%tag) if __name__ == '__main__': main() 使用format和datefmt的: import logging def show(): print("wechat running......
import logginglogger = logging.getLogger('my_logger')# 创建一个格式化器formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')# 创建一个控制台处理器console_handler = logging.StreamHandler()console_handler.setFormatter(formatter)# 绑定处理器和记录器logger.addHan...
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...
logging.basicConfig函数各参数: filename: 指定日志文件名 filemode: 和file函数意义相同,指定日志文件的打开模式,'w'或'a' format: 指定输出的格式和内容,format可以输出很多有用信息,如上例所示: %(levelno)s: 打印日志级别的数值 %(levelname)s: 打印日志级别名称 ...
logging.warning('%s before you %s', 'Look', 'leap!') #也支持指定格式 logging.basicConfig(format='%(asctime)s %(levelname)s:%(message)s', level=logging.DEBUG) #以上asctime,levelname和message是内置字典的key,不过时间呢? logging.debug('This message should appear on the console') ...
# logging.basicConfig函数对日志的输出格式及方式做相关配置 # 由于日志基本配置中级别设置为DEBUG,所以一下打印信息将会全部显示在控制台上 logging.basicConfig(level=logging.DEBUG, filename='output.log', datefmt='%Y/%m/%d %H:%M:%S', format='%(asctime)s - %(name)s - %(levelname)s - %(lineno...
@app.function_name(name="HttpTrigger1")@app.route(route="hello")deftest_function(req: func.HttpRequest)-> func.HttpResponse:logging.info('Python HTTP trigger function processed a request.') name = req.params.get('name')ifnotname:try: req_body = req.get_json()exceptValueError:passelse:...
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...