Question

我一直得到这个keyError。我正在向任务函数发送字符串和id（整数），所以我认为这不是序列化问题。它还说keyerror是在函数本身的路径上，而不是内容。请帮忙。

Tasks.py

from celery.decorators import task
from notification import models as notification

@task(ignore_result=True)
def notify_match_creation(match, home_team, away_team, home_team_captain, away_team_captain):
    notification.send(User.objects.filter(profile__teams__pk__in=(home_team, away_team)),
                      "tournaments_new_match",
                      {'match': unicode(match),
                       'home_team_captain': home_team_captain,
                       'away_team_captain': away_team_captain,
                       })

相关设置

CELERY_RESULT_BACKEND = "database"
CELERY_RESULT_DBURI = "postgresql://user:pass@localhost/ahgl"
BROKER_HOST = "localhost"
BROKER_PORT = 5672
BROKER_USER = "guest"
BROKER_PASSWORD = "guest"
BROKER_VHOST = "/"

芹菜输出：

[任务]

  . apps.tournaments.tasks.notify_match_creation
  . tournaments.tasks.notify_match_creation
[2012-02-25 02:34:06,209: WARNING/MainProcess] celery@NATTOWER has started.
[2012-02-25 02:34:06,477: WARNING/PoolWorker-4] E:\Webdesign\ahgl\ENV\lib\site-packages\djcelery\loaders.py:84: UserWarn
ing: Using settings.DEBUG leads to a memory leak, never use this setting in production environments!
  warnings.warn("Using settings.DEBUG leads to a memory leak, never "
[2012-02-25 02:34:06,479: WARNING/PoolWorker-2] E:\Webdesign\ahgl\ENV\lib\site-packages\djcelery\loaders.py:84: UserWarn
ing: Using settings.DEBUG leads to a memory leak, never use this setting in production environments!
  warnings.warn("Using settings.DEBUG leads to a memory leak, never "
[2012-02-25 02:34:06,523: WARNING/PoolWorker-3] E:\Webdesign\ahgl\ENV\lib\site-packages\djcelery\loaders.py:84: UserWarn
ing: Using settings.DEBUG leads to a memory leak, never use this setting in production environments!
  warnings.warn("Using settings.DEBUG leads to a memory leak, never "
[2012-02-25 02:34:06,566: WARNING/PoolWorker-1] E:\Webdesign\ahgl\ENV\lib\site-packages\djcelery\loaders.py:84: UserWarn
ing: Using settings.DEBUG leads to a memory leak, never use this setting in production environments!
  warnings.warn("Using settings.DEBUG leads to a memory leak, never "
[2012-02-25 02:34:31,520: INFO/MainProcess] Got task from broker: apps.tournaments.tasks.notify_match_creation[4dbd6258-
5cee-49e9-8c8a-2d2105a2d52a]
[2012-02-25 02:34:31,569: ERROR/MainProcess] Task apps.tournaments.tasks.notify_match_creation[4dbd6258-5cee-49e9-8c8a-2
d2105a2d52a] raised exception: KeyError('apps.tournaments.tasks.notify_match_creation',)
Traceback (most recent call last):
  File "E:\Webdesign\ahgl\ENV\lib\site-packages\celery\concurrency\processes\pool.py", line 211, in worker
    result = (True, func(*args, **kwds))
  File "E:\Webdesign\ahgl\ENV\lib\site-packages\celery\worker\job.py", line 50, in execute_and_trace
    task = tasks[name]
KeyError: 'apps.tournaments.tasks.notify_match_creation'
[2012-02-25 02:38:29,773: WARNING/MainProcess] celeryd: Hitting Ctrl+C again will terminate all running tasks!
[2012-02-25 02:38:29,773: WARNING/MainProcess] celeryd: Warm shutdown (MainProcess)
[2012-02-25 02:38:31,779: INFO/MainProcess] process shutting down

Answer 1

在celery输出中，您会看到拾取的任务是

tournaments.tasks.notify_match_creation (#1)

并且在您的密钥错误中

KeyError: 'apps.tournaments.tasks.notify_match_creation'

在调用celery任务之前，请确保它导入的名称（结构）与获取的芹菜任务中的名称（结构）相同（＃1）。请参阅上面asksol提供的链接以获取您的相关进口权。

一种可能的解决方案，当您启动芹菜时 - 尝试

celery worker -A apps.tournaments.tasks.notify_match_creation

这可以调整您的任务名称

Answer 2

我遇到了完全相同的问题，但是，以下内容对我有用，

在我的task.py中，我从

from celery.task import task

@task(name="generate_and_email_membership_invoice")
def my_task_name():
      ...

到

from ..celeryconf import app # the file where you have app.autodiscover_tasks()

@app.task()
def my_task_name():
     ..

为什么celery在执行任务时会返回KeyError？

2 个答案: