Celery 任务在没有 celerybeat 的情况下在任务成功后调用自身

Celery task calling itself after task succeeds without celerybeat

我想在当前任务完成后每隔 30 分钟偶尔调用一次 celery 任务,但有时任务花费的时间比预期的要长,因为任务是从远程服务器下载文件。所以我不想使用 celeryBeat。此外,使用自我。重试仅适用于我想发生错误的时间。这是我的任务:

@shared_task(name="download_big", bind=True, acks_late=true, autoretry_for=(Exception, requests.exceptiosn.RequestException), retry_kwargs={"max_retries": 4, "countdown": 3}):
def download_big(self):
    my_file = session.get('example.com/hello.mp4')
    if my_file.status_code == requests.codes["OK"]:
        open("hello.mp4", "wb").write(my_file.content)
    else:
        self.retry()

更新:

好吧,我将结构更改为:

@shared_task(name="download_big", bind=True, acks_late=true, autoretry_for=(Exception, requests.exceptiosn.RequestException), retry_kwargs={"max_retries": 4, "countdown": 3}):
def download_big(url):
    my_file = session.get(url, name)
    if my_file.status_code == requests.codes["OK"]:
        open(name, "wb").write(my_file.content)
    else:
        self.retry()

@shared_task(name="download_all", bind=True, acks_late=true, autoretry_for=(Exception, requests.exceptiosn.RequestException), retry_kwargs={"max_retries": 4, "countdown": 3}):
def download_all(self):
    my_list = [...]  # bunch of urls with names
    jobs = []
    for name, url in my_list:
        jobs.append(download_big.si(url, name))
    group(jobs)()

所以在这种情况下,我必须调用 download_all 方法而不是 download_big,这样我就可以并行下载文件,当所有组任务完成后,它需要再次调用自己30 分钟后。

您可以尝试使用 chord,它将 运行 一组任务,当它们完成时,将 运行 一个可用于重新安排的回调。

例如

from celery import chord

@shared_task(name="download_big", bind=True, acks_late=true, autoretry_for=(Exception, requests.exceptiosn.RequestException), retry_kwargs={"max_retries": 4, "countdown": 3}):
def download_big(url):
    my_file = session.get(url, name)
    if my_file.status_code == requests.codes["OK"]:
        open(name, "wb").write(my_file.content)
    else:
        self.retry()

@shared_task(name="download_all", bind=True, acks_late=true, autoretry_for=(Exception, requests.exceptiosn.RequestException), retry_kwargs={"max_retries": 4, "countdown": 3}):
def download_all(self):
    my_list = [...]  # bunch of urls with names
    jobs = []
    for name, url in my_list:
        jobs.append(download_big.si(url, name))

    # Run the group and reschedule once all tasks complete
    chord(jobs)(download_all.apply_async(countdown=1800))