asyncio
的框架中运行, 可是一旦一个task
出现了长时间的堵塞,咱们要跳过这个task
(代码多是用户输入的,例如用户编写的插件)(其中大部分代码出自官方的 asyncio 以及 signal)
重点的函数在于asyncio.gather
详情查看上面的连接html
import asyncio import os import signal import time async def factorial(name, number): f = 1 for i in range(2, number + 1): print(f"Task {name}: Compute factorial({i})...") await asyncio.sleep(1) f *= i print(f"Task {name}: factorial({number}) = {f}") async def test(): for i in range(100): print("sleep--", i) time.sleep(1) def handler(signum, frame): print('Signal handler called with signal', signum) raise OSError("Couldn't open device!") signal.signal(signal.SIGTERM, handler) print(os.getpid()) async def main(): # Schedule three calls *concurrently*: await asyncio.gather( test(), factorial("A", 2), factorial("B", 3), factorial("C", 4), return_exceptions=True ) asyncio.run(main())
18733 sleep-- 0 sleep-- 1 sleep-- 2 sleep-- 3 sleep-- 4 sleep-- 5 sleep-- 6 Signal handler called with signal 15 Task A: Compute factorial(2)... Task B: Compute factorial(2)... Task C: Compute factorial(2)... Task A: factorial(2) = 2 Task B: Compute factorial(3)... Task C: Compute factorial(3)... Task B: factorial(3) = 6 Task C: Compute factorial(4)... Task C: factorial(4) = 24 Process finished with exit code 0
这样就能够跳过被长时间堵塞的task,或者长时间执行的task了python