Dav*_*rks 5 python python-asyncio python-multiprocessing python-3.6
我ClientConnectionError在multiprocessing.Queue产生的中放置了一个例外asyncio。我这样做是为了将异步土地中生成的异常传递回另一个线程/进程中的客户端。
我的假设是此异常发生在反序列化过程中,从队列中读取了该异常。否则,看起来几乎是不可能的。
Traceback (most recent call last):
File "model_neural_simplified.py", line 318, in <module>
main(**arg_parser())
File "model_neural_simplified.py", line 314, in main
globals()[command](**kwargs)
File "model_neural_simplified.py", line 304, in predict
next_neural_data, next_sample = reader.get_next_result()
File "/project_neural_mouse/src/asyncs3/s3reader.py", line 174, in get_next_result
result = future.result()
File "/usr/lib/python3.6/concurrent/futures/_base.py", line 432, in result
return self.__get_result()
File "/usr/lib/python3.6/concurrent/futures/_base.py", line 384, in __get_result
raise self._exception
File "/usr/lib/python3.6/concurrent/futures/thread.py", line 56, in run
result = self.fn(*self.args, **self.kwargs)
File "model_neural_simplified.py", line 245, in read_sample
f_bytes = s3f.read(read_size)
File "/project_neural_mouse/src/asyncs3/s3reader.py", line 374, in read
size, b = self._issue_request(S3Reader.READ, (self.url, size, self.position))
File "/project_neural_mouse/src/asyncs3/s3reader.py", line 389, in _issue_request
response = self.communication_channels[uuid].get()
File "/usr/lib/python3.6/multiprocessing/queues.py", line 113, in get
return _ForkingPickler.loads(res)
File "/usr/local/lib/python3.6/dist-packages/aiohttp/client_exceptions.py", line 133, in __init__
super().__init__(os_error.errno, os_error.strerror)
AttributeError: 'str' object has no attribute 'errno'
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我认为这是一个遥不可及的问题,但是有人知道这个问题吗?
Python 3.6.8,aiohttp .__ version__ == 3.6.0
更新:
我设法重现了该问题(在改进最小可重现测试用例的评论中注明了塞缪尔,后来在bugs.python.org中使用xtreak进一步将其提炼为仅用于腌菜的测试用例):
import pickle
ose = OSError(1, 'unittest')
class SubOSError(OSError):
def __init__(self, foo, os_error):
super().__init__(os_error.errno, os_error.strerror)
cce = SubOSError(1, ose)
cce_pickled = pickle.dumps(cce)
pickle.loads(cce_pickled)
./python.exe ../backups/bpo38254.py
Traceback (most recent call last):
File "/Users/karthikeyansingaravelan/stuff/python/cpython/../backups/bpo38254.py", line 12, in <module>
pickle.loads(cce_pickled)
File "/Users/karthikeyansingaravelan/stuff/python/cpython/../backups/bpo38254.py", line 8, in __init__
super().__init__(os_error.errno, os_error.strerror)
AttributeError: 'str' object has no attribute 'errno'
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参考文献:
OSError有一个自定义__reduce__实现;不幸的是,对于与预期参数不匹配的子类来说,它不是子类友好的。可以通过__reduce__手动调用来查看pickle的中间状态:
>>> SubOSError.__reduce__(cce)
(modulename.SubOSError, (1, 'unittest'))
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第一个元素tuple是要调用的可调用对象,第二个元素是tuple要传递的参数。因此,当它尝试重新创建您的类时,它会:
modulename.SubOSError(1, 'unittest')
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OSError丢失了有关您最初创建时所用的信息。
OSError.__reduce__如果您必须接受与/期望的参数不匹配的参数OSError.__init__,您将需要编写自己的__reduce__覆盖以确保正确的信息被腌制。一个简单的版本可能是:
class SubOSError(OSError):
def __init__(self, foo, os_error):
self.foo = foo # Must preserve information for pickling later
super().__init__(os_error.errno, os_error.strerror)
def __reduce__(self):
# Pickle as type plus tuple of args expected by type
return type(self), (self.foo, OSError(*self.args))
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通过该设计,SubOSError.__reduce__(cce)现在将返回:
(modulename.SubOSError, (1, PermissionError(1, 'unittest')))
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其中 的第二个元素是重新创建实例所需的正确参数(从到 的tuple更改是预期的;实际上基于 返回其自己的子类)。OSErrorPermissionErrorOSErrorerrno
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