logging.error("This is log error!") logging.debug("This is log debug!") people_info = {"name":"Bob","age":20}try: gender = people_info["gender"]exceptExceptionaserror: logging.exception(error)if__name__ =="__main__": logging_init() logging_test() 输出日志: INFO - 2021-10-1...
代码语言:python 代码运行次数:0 运行 importlogging logger=logging.getLogger(__name__)defsome_function():logger.info("This is an information message.")try:# some code that may raise an exceptionpassexceptExceptionase:logger.error("An error occurred",exc_info=True)if__name__=="__main__":so...
本文就分享一下两个方法,记录异常的 traceback 信息。...方法一:使用 logger.exception logger.exception 方法可以将异常的 traceback 信息记录到日志里,这里有一个小小的例子: import logging logging.basicConfig...logging.exception(f"main exception: {str(e)}") raise 执行该代码之后,你会在当前路径下看到 ...
logger.error("Faild to open sklearn.txt from logger.error", exc_info=True)#logger.exception(msg,_args)等价于logger.error(msg,exc_info = True,_args) logger.info("Finish") main() 输出log: 2.5、多模块使用logging 主模块mainModule.py: importlogging importsubModule defmain(): logger = logging...
except Exception as e: logger.error("An error occurred", exc_info=True) if __name__ == "__main__": some_function() 步骤二:使用支持点击跳转的日志查看工具 目前,一些流行的代码编辑器(如VS Code、PyCharm等)和日志查看工具(如ELK Stack、Loggly等)都支持点击跳转功能。只要日志中包含了代码位置信...
except Exception as e: LOGGER.error(f'Search {text} failed, the reason is {e}') raise Exception(f'Search {text} failed') 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22.
logger.error(f"{func.__name__} 在 {max_attempts} 次尝试后仍然失败") raise last_exception return wrapper # 支持带参数和不带参数的装饰器语法 if callable(max_attempts): func = max_attempts max_attempts = 3 return decorator(func) return decorator # 使用示例 class DatabaseError(Exception): ...
raise RuntimeError("Fail to match") except Exception as e: logger.error("Fail to translate " + e.__str__()) is_ok = False if not is_ok: return FunctionDeviceModel( smt_code='timer', is_raw=True, acoustics="抱歉我没听清", ...
classLogger(object):def__new__(cls, *args, **kwargs):ifnothasattr(cls,'_logger'): cls._logger =super(Logger, cls ).__new__(cls, *args, **kwargs)returncls._logger In this example,Loggeris a Singleton. These are the alternatives to using a Singleton in Python: ...
logger = logging.getLogger('thingsapp.' + __name__) def on_get(self, req, resp, user_id): marker = req.get_param('marker') or '' limit = req.get_param_as_int('limit') or 50 try: result = self.db.get_things(marker, limit) except Exception as ex: self.logger.error(ex) ...