如何在另一个异步IO循环中使用异步IO循环

我一直在尝试各种方法,以便能够在另一个asyncio循环中使用asyncio循环。大多数情况下,我的测试以错误告终,例如:

RuntimeError:此事件循环已在运行

下面的示例代码只是我开始的基本测试,因此您可以看到我正在尝试执行的基本操作。在这次测试之后,我尝试了很多东西,只是太混乱了,所以我想在寻求帮助时应该保持简单。如果有人能给我指出正确的方向,那就太好了。感谢您抽出时间!

import asyncio

async def fetch(data):
    message = 'Hey {}!'.format(data)
    other_data = ['image_a.com', 'image_b.com', 'image_c.com']
    images = sub_run(other_data)
    return {'message' : message, 'images' : images}

async def bound(sem, data):
    async with sem:
        r = await fetch(data)
        return r

async def build(dataset):
    tasks = []
    sem = asyncio.Semaphore(400)

    for data in dataset:
        task = asyncio.ensure_future(bound(sem, data))
        tasks.append(task)

    r = await asyncio.gather(*tasks)
    return r

def run(dataset):
    loop = asyncio.get_event_loop()
    future = asyncio.ensure_future(build(dataset))
    responses = loop.run_until_complete(future)
    loop.close()
    return responses

async def sub_fetch(data):
    image = 'https://{}'.format(data)
    return image

async def sub_bound(sem, data):
    async with sem:
        r = await sub_fetch(data)
        return r

async def sub_build(dataset):
    tasks = []
    sem = asyncio.Semaphore(400)

    for data in dataset:
        task = asyncio.ensure_future(sub_bound(sem, data))
        tasks.append(task)

    r = await asyncio.gather(*tasks)
    return r

def sub_run(dataset):
    loop = asyncio.get_event_loop()
    future = asyncio.ensure_future(sub_build(dataset))
    responses = loop.run_until_complete(future)
    loop.close()
    return responses

if __name__ == '__main__':
    dataset = ['Joe', 'Bob', 'Zoe', 'Howard']
    responses = run(dataset)
    print (responses)