我具有制作记录器代理的功能,可以安全地传递给多处理工作者,并使用以下代码重新登录到主记录器:
import logging
from multiprocessing.managers import BaseManager
class SimpleGenerator:
def __init__(self, obj): self._obj = obj
def __call__(self): return self._obj
def get_logger_proxy(logger):
class LoggerManager(BaseManager): pass
logger_generator = SimpleGenerator(logger)
LoggerManager.register('logger', callable = logger_generator)
logger_manager = LoggerManager()
logger_manager.start()
logger_proxy = logger_manager.logger()
return logger_proxy
logger = logging.getLogger('test')
logger_proxy = get_logger_proxy(logger)
这在python 2.7到3.7上效果很好。我可以将生成的logger_proxy
传递给工作人员,他们将记录信息,然后将这些信息正确发送回主logger
。
但是,在python 3.8.2(和3.8.0)上,我得到以下信息:
Traceback (most recent call last):
File "junk.py", line 20, in <module>
logger_proxy = get_logger_proxy(logger)
File "junk.py", line 13, in get_logger_proxy
logger_manager.start()
File "/anaconda3/envs/py3.8/lib/python3.8/multiprocessing/managers.py", line 579, in start
self._process.start()
File "/anaconda3/envs/py3.8/lib/python3.8/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/anaconda3/envs/py3.8/lib/python3.8/multiprocessing/context.py", line 283, in _Popen
return Popen(process_obj)
File "/anaconda3/envs/py3.8/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/anaconda3/envs/py3.8/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/anaconda3/envs/py3.8/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 47, in _launch
reduction.dump(process_obj, fp)
File "/anaconda3/envs/py3.8/lib/python3.8/multiprocessing/reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'get_logger_proxy.<locals>.LoggerManager'
因此,似乎他们更改了有关ForkingPickler的某些内容,从而使其无法处理我的get_logger_proxy
函数中的关闭操作。
我的问题是,如何解决此问题,使其在python 3.8中工作?还是有一种更好的方法来获取可以在python 3.8中工作的记录器代理,就像以前版本中的记录器代理那样?