方式一:用函数的方式实现 importlogging#第一步:创建日志器logger = logging.getLogger("XX科技公司")#第二步:定义处理器。控制台和文本输出两种方式console_handler =logging.StreamHandler() file_handler= logging.FileHandler("./new.log",mode='a',encoding='utf-8')#第三步:设置的不同的输入格式console_f...
要解决这个问题,我们需要移除默认的handler,并且仅使用我们定义的handler来处理日志记录。 importloggingimportcolorlogdefget_logger(level=logging.INFO):# 创建logger对象logger = logging.getLogger()logger.setLevel(level)# 创建控制台日志处理器console_handler = logging.StreamHandler()console_handler.setLevel(level)...
一次创建logger、handler、formatter 创建一个文件,然后传入fileConfig()读取 创建一个字典,然后传入dictConfig()读取 第1种: import logging # create logger logger = logging.getLogger('simple_example') logger.setLevel(logging.DEBUG) # create console handler and set level to debug ch = logging.StreamHandle...
;Configuration file for setting up logging ;The following sectios provide names for Logger,Handler,and Formatter ;objects that will be configured later in the file. [loggers] keys=root [handlers] keys=Info_Handler,Debug_Handler,Error_Handler,console [formatters] keys=format [logger_root] level=...
比如,我们将上面logging.basicConfig(format='%(levelname)s:%(message)s', level=logging.DEBUG)修改为logging.basicConfig(format='%(levelname)s:%(message)s:%(module)s', level=logging.DEBUG)。 输出的结果将会变为: DEBUG:This message should appear on the console:logger ...
logging.basicConfig(format=log_format,handlers=[console_handler]) 1. 结论 通过以上步骤,你可以实现Python logging同时输出到控制台。希望这篇文章能帮助你更好地理解和应用logging模块的功能。如果有任何疑问,欢迎随时向我提问。 最后,希望你能够按照以上步骤进行操作,并成功实现Python logging同时输出到控制台。祝你...
{"class":"logging.StreamHandler","formatter":"default",},},"loggers":{"customer_logger":{"handlers":["customer_handler","console"],"level":logging.INFO,"propagate":False,}}}logging.config.dictConfig(LOGGING_CONFIG)logger=logging.getLogger('customer_logger')logger.info('hello,shouke')运行my...
logger = logging.getLogger(__name__) console_handler = logging.StreamHandler(sys.stdout)defcurrent_time_millis():returnstr(int(round(time.time() *1000)))defdo_sign(secret, sign_content): m = hmac.new(secret, sign_content, digestmod=hashlib.sha1)returnbase64.b64encode(m.digest())classAmqp...
(message)s') logger = logging.getLogger(__name__) console_handler = logging.StreamHandler(sys.stdout)defcurrent_time_millis():returnstr(int(round(time.time() *1000)))defdo_sign(secret, sign_content): m = hmac.new(secret, sign_content, digestmod=hashlib.sha1)returnbase64.b64en...
import logging def main(req): logging.info('Python HTTP trigger function processed a request.') 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...