当脚本中断时,如何立即停止concurrent.futures.ThreadPoolExecutor并丢弃所有挂起的操作,如下例所示:
import requests
from concurrent.futures import ThreadPoolExecutor, as_completed
def get_parallel(arguments_list: list[dict]):
try:
with ThreadPoolExecutor(max_workers=25) as executor:
futures_buffer = [executor.submit(requests.get, **kwargs) for kwargs in arguments_list]
for future in as_completed(futures_buffer):
try:
response = future.result()
print (response.url)
yield response.url, response.status_code, response.json()['args']
except KeyboardInterrupt:
executor.shutdown(wait=False, cancel_futures=True)
yield 'KeyboardInterrupt 1'
return
except Exception as exception:
yield exception
except KeyboardInterrupt:
yield 'KeyboardInterrupt 2'
return
if __name__ == '__main__':
arguments = [dict(url=f'https://httpbin.org/get?q={i}') for i in range(200)]
for t in get_parallel(arguments):
print(t)正如现在的代码一样,当我从终端运行它,然后调用^C时,它将停止打印结果,但会挂起相同的时间,就像它没有被中断一样,最后它将打印KeyboardInterrupt 2。
发布于 2021-10-23 19:48:33
你不能在python中发信号通知单独的线程,即使你可以,也不能保证请求不会创建自己的线程作为工作线程。您可以终止进程,因此可以将请求委派给子进程,并在遇到键盘中断时终止它。要做到这一点,最干净的方法是管理您自己的子流程和工作项队列。但是,如果你不介意一点黑客攻击,concurrent.futures.ProcessPoolExecutor保留了它的池进程的列表,你可以劫持它。但它的黑客行为..。它可能会在未来的某个时候被打破。由于响应被pickled并发送回父进程,因此最好使用一个中间工作函数来从响应对象(而不是响应对象本身)获取有用数据。
import concurrent.futures
import os
import requests
import signal
def worker(arguments_list: dict):
"""use requests to get web page and return url, status, json args"""
resp = requests.get(**arguments_list)
# todo: when status_code not 200 and json decode fails, do...???
return resp.url, resp.status_code, resp.json()['args']
def get_parallel(arguments_list: list[dict]):
with concurrent.futures.ProcessPoolExecutor(max_workers=25) as executor:
try:
futures_buffer = [executor.submit(worker, kwargs) for kwargs in arguments_list]
for future in concurrent.futures.as_completed(futures_buffer):
url, status_code, args = future.result()
print (url)
yield url, status_code, args
except KeyboardInterrupt:
for pid in executor._processes:
os.kill(pid, signal.SIGKILL)
yield 'KeyboardInterrupt 2'
if __name__ == '__main__':
arguments = [dict(url=f'https://httpbin.org/get?q={i}') for i in range(200)]
for t in get_parallel(arguments):
print(t)https://stackoverflow.com/questions/69691136
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