python和芹菜：覆盖用于gevent池的硬超时

有没有办法克服芹菜中的硬超时？我知道我可以通过失败作业的任务继承来实现这一点

class MyTask(Task):
def on_failure(self, exc, task_id, args, kwargs, einfo):
    print('{0!r} failed: {1!r}'.format(task_id, exc))

@app.task(base=MyTask, soft_time_limit=5, time_limit=10)
def add(x, y):
    raise KeyError()

---

但硬超时并不是失败的作业。我之所以想这样做，是因为软超时不适用于gevent池，而只适用于硬超时

我花了一点时间才弄明白，但你就是这样做的。从请求继承，然后从任务继承。从MyTask调用请求（on_failure方法所在的位置）

class MyRequest(Request):
    def on_timeout(self, soft, timeout):
        super(MyRequest, self).on_timeout(soft, timeout)
        if not soft:
           logger.warning(
               'A hard timeout was enforced for task %s',
               self.task.name
           )


class MyTask(Task):
    Request = MyRequest  # you can use a FQN 'my.package:MyRequest'

    def on_failure(self, exc, task_id, args, kwargs, einfo):
        print('{0!r} failed: {1!r}'.format(task_id, exc))


def run_time_job():
    a = random.randrange(0, 20)
    print('sleeping for', a)
    time.sleep(a)


@app.task(base=MyTask, soft_time_limit=5, time_limit=10)
def add(x, y):
    results = None
    try:
        run_time_job()
        results = x + y
    except SoftTimeLimitExceeded:
        print('time limit exceeded')
        redis_db.sadd('failed_jobs', 'failed at {} + {}'.format(x, y))
    except TimeLimitExceeded:
        raise KeyError()
    return results