有关celery中task对象使用多线程时，动态更新问题

背景

有一个需求，是celery异步任务中使用多线程，同时需要对总体数量进度的更新。

描述

import celery
import threading


def run_subtask(celery_task, i):
    lock.acquire()
    #Error raises here, when update_state calls
    celery_task.update_state(state=states.SUCCESS, meta={'subtask_id': i})
    lock.release()


@celery.task(bind=True)
def get_info(self, user):

    for i in xrange(4):
        worker = threading.Thread(target=run_subtask, args=(self, i))
        worker.start()

调整

def run_subtask(celery_task, i, task_id):
    lock.acquire()
    #Error raises here, when update_state calls
    # celery_task.update_state(state=states.SUCCESS, meta={'subtask_id': i})
    # 之前的方法无法在多线程获取到指定的对象，很诡异的无法更新
    celery_task.update_state(task_id=task_id, state=states.SUCCESS, meta={'subtask_id': i})
    lock.release()

@celery.task(bind=True)
def get_info(self, user):
    task_id = self.request.id
    for i in xrange(4):
        worker = threading.Thread(target=run_subtask, args=(self, i, task_id))
        worker.start()

参考链接:https://*.com/questions/42595426/python-multithreading-into-celery-task-celery-task-update-state-error