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AsyncIO Task Scheduler
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#!/usr/bin/env python3 | |
import asyncio | |
from typing import Coroutine, List | |
class AsyncScheduler: | |
@classmethod | |
def run(cls, tasks: List[Coroutine], limit: int = 3) -> None: | |
""" | |
Given a list of async function calls, execute it with limited concurrency | |
Example: | |
async def fn(x): | |
... | |
AsyncScheduler.run([fn(1), fn(2), fn(3)], limit=2) | |
""" | |
if len(tasks) == 0: | |
return | |
asyncio.run(cls.__run(tasks, limit)) | |
@classmethod | |
async def __run(cls, tasks, limit) -> None: | |
total_tasks = len(tasks) | |
running = set() | |
while 1: | |
while len(tasks) and len(running) < limit: | |
running.add(asyncio.create_task(tasks.pop(0))) | |
utils.notice( | |
f"processing {len(running)} tasks, " | |
f"{len(tasks)} pending, " | |
f"{total_tasks - len(tasks) - len(running)} done, " | |
f"{total_tasks} total" | |
) | |
done, running = await asyncio.wait( | |
running, return_when=asyncio.FIRST_COMPLETED | |
) | |
if not len(running) and not len(tasks): | |
return |
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import asyncio | |
import time | |
from AsyncScheduler import AsyncScheduler | |
async def f(x): | |
print(f'f{x}') | |
await asyncio.sleep(x) | |
print(x, time.time()) | |
tasks = [f(2), f(2), f(1), f(2)] | |
AsyncScheduler.run(tasks, 3) | |
tasks |
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