Asyncio - 检查事件循环中是否具有特定参数的协程的方法?

时间:2018-02-28 05:29:37

标签: python python-asyncio

在我的应用程序中,我有多个类可能会导致将事件添加到event_loop。但是我不希望多次添加协程,所以我需要一种方法来检查协程是否已经是运行循环中的任务。

我找到了 asyncio.Task.all_tasks(loop)类方法。我认为这将解决我的问题,但输出只提供协程名称而不是参数。这对我来说是个问题,因为我在event_loop中添加了带有不同参数集的相同协程。

演示:

import asyncio
from threading import Thread
from time import sleep

async def foo(a, b):
    while True:
        print("{}{}".format(a, b))
        await asyncio.sleep(1)

def loop_starter():
    loop1.create_task(foo("one","two"))
    loop1.create_task(foo("three","four"))
    loop1.run_forever()

loop1 = asyncio.new_event_loop()
t = Thread(target=loop_starter)
t.start()
sleep(0.5)
print(asyncio.Task.all_tasks(loop1))

all_tasks()方法的输出是:

{<Task pending coro=<foo() running at example.py:8> wait_for=<Future pending cb=[<TaskWakeupMethWrapper object at 0x7f7dbb312b58>()]>>, 
 <Task pending coro=<foo() running at example.py:8> wait_for=<Future pending cb=[<TaskWakeupMethWrapper object at 0x7f7dbb2a4918>()]>>}

所以看来我无法知道事件循环中foo的哪个版本。

1 个答案:

答案 0 :(得分:2)

只有想到的东西是这样的:

import asyncio


_running = list()  # set would be better if you have hashable values


def create_unique_task(coro_func, *args, **kwargs):
    loop = asyncio.get_event_loop()

    uid = (args, kwargs)
    if uid not in _running:
        task = loop.create_task(foo(*args, **kwargs))
        _running.append(uid)
        task.add_done_callback(lambda _: _running.remove(uid))
    else:
        print('skipped')
        return

    return task


async def foo(a, b):
    print("{} {}".format(a, b))
    await asyncio.sleep(0.5)


async def main():
    create_unique_task(foo, "one", "two")
    create_unique_task(foo, "three", "four")
    await asyncio.sleep(0.2)

    create_unique_task(foo, "one", "two")
    create_unique_task(foo, "three", "four")
    await asyncio.sleep(0.4)

    create_unique_task(foo, "one", "two")
    create_unique_task(foo, "three", "four")
    await asyncio.sleep(1)


if __name__ ==  '__main__':
    loop = asyncio.get_event_loop()
    try:
        loop.run_until_complete(main())
    finally:
        loop.run_until_complete(loop.shutdown_asyncgens())
        loop.close()

<强>输出:

one two
three four
skipped
skipped
one two
three four