是否可以从 python 3.0 中的单个模块登录多个日志文件

Is it possible to log into multiple log files from a single module in python 3.0

是否可以从 python 3.0 中的单个模块登录多个日志文件,其中日志文件在使用 flask 框架时根据某些请求参数命名。

如果我 运行 它喜欢单个模块并导入,下面的代码工作正常,但是当我 运行 使用 flask 时,它会在第一次尝试时写入,但稍后回退到记录到根记录器.

我想要一个 flask 中的日志记录工厂,它可以检查记录器是否已经存在,如果已经存在则记录同一个文件,如果不存在则创建一个新的记录器并记录到新文件。

非常感谢任何帮助。

def setup_logger( name, log_file, level=logging.INFO):

    my_file = Path(log_file)
    print(my_file)
    if my_file.is_file():
        print("handler details")
        print(logging.getLogger(name).hasHandlers())
        print(type(logging.getLogger(name).hasHandlers()))
        if logging.getLogger(name).hasHandlers():
            print("old logger and it has handler")
            logger.propagate = False
            return logging.getLogger(name)
        else:
            handler = logging.FileHandler(log_file, mode='a')        
            handler.setFormatter(formatter)
            logger = logging.getLogger(name)
            logger.setLevel(level)
            logger.addHandler(handler)
            logger.propagate = False
            print("old logger that has no handler")
            return logger
    else:
        handler = logging.FileHandler(log_file, mode='a')        
        handler.setFormatter(formatter)

        logger = logging.getLogger(name)
        logger.setLevel(level)
        logger.addHandler(handler)
        print("new logger with new handler")
        logger.propagate = False
        return logger

好吧,我能够通过以下方法实现所需的功能:

def setup_logger( name, log_file, level=logging.DEBUG): 

    my_file = Path(log_file)
    # print("check the if condition for the file")
    # print(my_file.is_file())

if my_file.is_file():
    #print(logging.getLogger(name).hasHandlers())
    # if logging.getLogger(name).hasHandlers():
    if len(logging.getLogger(name).handlers)>0:
        return logging.getLogger(name)
    else:
        handler = logging.FileHandler(log_file, mode='a')        
        handler.setFormatter(formatter)
        logger = logging.getLogger(name)
        logger.setLevel(level)
        logger.addHandler(handler)
        logger.propagate = False
        return logger
else:
    handler = logging.FileHandler(log_file, mode='a')        
    handler.setFormatter(formatter)

    logger = logging.getLogger(name)
    logger.setLevel(level)
    logger.addHandler(handler)
    logger.propagate = False
    return logger