计算事件循环中的活动任务

Count active tasks in event loop

如何找出事件循环中有多少活动任务? 在文档中我只找到 asyncio.Task.all_tasks() 但它是简单的增量计数器:

import asyncio


async def coro():
    await asyncio.sleep(1)


async def main():
    tasks = []
    print('Tasks count: ', len(asyncio.Task.all_tasks()))
    for idx in range(3):
        task = asyncio.ensure_future(coro())
        tasks.append(task)
        print('Tasks count: ', len(asyncio.Task.all_tasks()))
    await asyncio.gather(*tasks)
    print('Tasks count: ', len(asyncio.Task.all_tasks()))


loop = asyncio.get_event_loop()
loop.run_until_complete(main())

输出:

Tasks count:  1
Tasks count:  2
Tasks count:  3
Tasks count:  4
Tasks count:  4

预期输出:

Tasks count:  1
Tasks count:  2
Tasks count:  3
Tasks count:  4
Tasks count:  1

all_tasks returns 所有已注册的任务,包括已完成的任务。您可以简单地按 done() 筛选任务以获取活动任务:

import asyncio


async def coro():
    await asyncio.sleep(1)


async def main():
    tasks = []
    print('Tasks count: ', len(asyncio.Task.all_tasks()))
    for idx in range(3):
        task = asyncio.ensure_future(coro())
        tasks.append(task)
        print('Tasks count: ', len(asyncio.Task.all_tasks()))
    await asyncio.gather(*tasks)
    print('Tasks count: ', len(asyncio.Task.all_tasks()))
    print('Active tasks count: ', len(
        [task for task in asyncio.Task.all_tasks() if not task.done()])
    )

loop = asyncio.get_event_loop()
loop.run_until_complete(main())

输出:

Tasks count:  1
Tasks count:  2
Tasks count:  3
Tasks count:  4
Tasks count:  4
Active tasks count:  1

在 Python 3.7+ 中有一个 asyncio.all_tasks() 方法,它 returns 当前 运行 循环的未完成任务。

所以这简化为:

count_active_tasks = len(asyncio.all_tasks())