asyncio任务在创建后被存储,任务中的异常被静音
问题描述:
我对项目使用asyncio,并遇到这种奇怪的行为。asyncio任务在创建后被存储,任务中的异常被静音
import asyncio
def schedule_something():
global f
tsk = asyncio.async(do_something())
f = tsk #If this line is commented out, exceptions can be heard.
@asyncio.coroutine
def do_something():
raise Exception()
loop = asyncio.get_event_loop()
loop.call_soon(schedule_something)
loop.run_forever()
loop.close()
出于某种原因,存储所产生的任务,当你调用asyncio.async()
停止做任何异常。
难道有人会对这种情况有所了解吗?我需要一种方法来捕获当前项目中的异常。
答
这是因为只有Task
销毁而没有检索到结果时才会引发异常。当您将Task
分配给全局变量时,它将始终具有活动引用,因此永远不会被销毁。有一个在ASYNCIO/futures.py文档字符串是深入讨论了这个:
class _TracebackLogger:
"""Helper to log a traceback upon destruction if not cleared.
This solves a nasty problem with Futures and Tasks that have an
exception set: if nobody asks for the exception, the exception is
never logged. This violates the Zen of Python: 'Errors should
never pass silently. Unless explicitly silenced.'
However, we don't want to log the exception as soon as
set_exception() is called: if the calling code is written
properly, it will get the exception and handle it properly. But
we *do* want to log it if result() or exception() was never called
-- otherwise developers waste a lot of time wondering why their
buggy code fails silently.
An earlier attempt added a __del__() method to the Future class
itself, but this backfired because the presence of __del__()
prevents garbage collection from breaking cycles. A way out of
this catch-22 is to avoid having a __del__() method on the Future
class itself, but instead to have a reference to a helper object
with a __del__() method that logs the traceback, where we ensure
that the helper object doesn't participate in cycles, and only the
Future has a reference to it.
The helper object is added when set_exception() is called. When
the Future is collected, and the helper is present, the helper
object is also collected, and its __del__() method will log the
traceback. When the Future's result() or exception() method is
called (and a helper object is present), it removes the the helper
object, after calling its clear() method to prevent it from
logging.
如果你想看到/处理异常,只是用add_done_callback
处理任务的结果,并采取一切必要的时候你会得到一个例外:
import asyncio
def handle_result(fut):
if fut.exception():
fut.result() # This will raise the exception.
def schedule_something():
global f
tsk = asyncio.async(do_something())
tsk.add_done_callback(handle_result)
f = tsk
@asyncio.coroutine
def do_something():
raise Exception()
loop = asyncio.get_event_loop()
loop.call_soon(schedule_something)
loop.run_forever()
loop.close()
谢谢,这实际上使我的项目更容易,指定一个特定任务的异常处理程序,而不是事件循环中的任何异常。 – 2014-12-04 17:24:35