abr*_*uez 9 python concurrency multithreading python-asyncio
来自 python 的 asyncio 示例:
import asyncio
import time
def blocking_io():
print(f"start blocking_io at {time.strftime('%X')}")
# Note that time.sleep() can be replaced with any blocking
# IO-bound operation, such as file operations.
time.sleep(1)
print(f"blocking_io complete at {time.strftime('%X')}")
async def main():
print(f"started main at {time.strftime('%X')}")
await asyncio.gather(
asyncio.to_thread(blocking_io),
asyncio.sleep(1))
print(f"finished main at {time.strftime('%X')}")
asyncio.run(main())
# Expected output:
#
# started main at 19:50:53
# start blocking_io at 19:50:53
# blocking_io complete at 19:50:54
# finished main at 19:50:54
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它正在输出下一个错误:
asyncio.to_thread(blocking_io),
AttributeError: module 'asyncio' has no attribute 'to_thread'
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此功能已被弃用吗?使用 asyncio 进行线程化的替代方案是什么?
Bec*_*hma 17
to_thread仅适用于 python 3.9+,如果您使用的是 python 3.8 或更早版本,您可以复制它的源代码:
async def to_thread(func, /, *args, **kwargs):
loop = asyncio.get_running_loop()
ctx = contextvars.copy_context()
func_call = functools.partial(ctx.run, func, *args, **kwargs)
return await loop.run_in_executor(None, func_call)
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此方法将上下文复制到线程(以使用您设置的ContextVars的当前值)
如果您不需要它而只想要一个内衬:
await asyncio.get_running_loop().run_in_executor(None, blocking_io, arg1, arg2)
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有关run_in_executor的更多信息