在简单的python日志记录配置中重复输出 [英] duplicate output in simple python logging configuration

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问题描述

我正在如下设置python日志记录:

I'm setting up python logging as follows:

def setup_logging():
    loggers = (logging.getLogger("amcat"), logging.getLogger("scrapers"),logging.getLogger(__name__))
    filename = "somefile.txt"
    sys.stderr = open(filename, 'a')
    handlers = (logging.StreamHandler(sys.stdout),logging.FileHandler(filename))
    formatter = AmcatFormatter(date = True)

    for handler in handlers:
        handler.setLevel(logging.INFO)
        handler.setFormatter(formatter)

    for logger in loggers:
        logger.propagate = False
        logger.setLevel(logging.INFO)
        for handler in handlers:        
            logger.addHandler(handler)
    logging.getLogger().handlers = []

启用了2个主要的模块记录器,它们都应该作为文件记录到控制台.错误会重定向到文件(理想情况下,错误也会在控制台中显示,但我尚未实现)

2 major module loggers are enabled, they're both supposed to log to the console aswell as a file. errors are redirected to the file (ideally, errors would show in the console as well but i've yet to implement this)

紧接着,我检查是否正确:

Right after, i check whether things are right:

should_work = [
    "amcat.scraping.scraper",
    "amcat.scraping.htmltools",
    "amcat.scraping.controller",
    "__main__"]

loggerdict = logging.Logger.manager.loggerDict #all loggers
for name, logger in loggerdict.items():
    if name in should_work:
        print("\nlogger: "+name)
        #iterate through parents see if effective handlers are set correctly
        print(effectivehandlers(logger))
        #test logger
        logger.info("test for {name}".format(**locals()))

def effectivehandlers(logger):
    handlers = logger.handlers
    while True:
        logger = logger.parent
        handlers.extend(logger.handlers)
        if not (logger.parent and logger.propagate):
            break
    return handlers

控制台输出:

logger: __main__
[<logging.StreamHandler object at 0x3425d50>, <logging.FileHandler object at 0x3425dd0>]
[2013-10-24 10:27:30 daily.py:133 INFO] test for __main__

logger: amcat.scraping.controller
[<logging.StreamHandler object at 0x3425d50>, <logging.FileHandler object at 0x3425dd0>]
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.controller
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.controller

logger: amcat.scraping.htmltools
[<logging.StreamHandler object at 0x3425d50>, <logging.FileHandler object at 0x3425dd0>]
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.htmltools
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.htmltools

logger: amcat.scraping.scraper
[<logging.StreamHandler object at 0x3425d50>, <logging.FileHandler object at 0x3425dd0>]
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.scraper
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.scraper

这是文件输出:

[2013-10-24 10:27:30 daily.py:133 INFO] test for __main__
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.controller
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.controller
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.htmltools
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.htmltools
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.scraper
[2013-10-24 10:27:30 daily.py:133 INFO] test for amcat.scraping.scraper

如您所见,尽管禁用了传播并确保没有重复的处理程序,但输出还是两倍.哪里出问题了?

As you can see, the output is double, despite having disabled propagation and making sure no duplicate handlers are present. Where does this go wrong?

推荐答案

我明白了,谢谢Paco为我指出了正确的方向

I figured this out, thanks Paco for pointing me in the right direction

事实证明,当调用getLogger时,将向其添加处理程序:

it turns out that when getLogger is called, handlers are added to it:

>>> print(effectivehandlers(logger))
[<logging.StreamHandler object at 0x305ad90>, <logging.FileHandler object at 0x305ae10>]
>>> logging.getLogger(name) #the same logger
<logging.Logger object at 0x7fa08fb9b2d0>
>>> print(effectivehandlers(logger))
[<logging.StreamHandler object at 0x305ad90>, <logging.FileHandler object at 0x305ae10>, <logging.StreamHandler object at 0x305ad90>, <logging.FileHandler object at 0x305ae10>]

现在,子代和父代都有相同的处理程序.因此输出重复.

Now, both the child and the parent have the same handlers. Hence duplicate outputs.

这篇关于在简单的python日志记录配置中重复输出的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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