我可以从主应用程序成功接收芹菜任务 - 但是,我的系统无法从其他模块接收任务。我在一个远程Ubuntu服务器上使用supervisor进行芹菜。
draft1
是我的主要应用,post
是另一个模块(我无法接收任务的模块)。
draft1 / __初始化__。PY
#This will make sure the app is always imported when
#Django starts so that shared_task will use this app.
from .celery import app as celery_app
__all__ = ['celery_app']
draft1 / celery.py
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'draft1.settings')
app = Celery("draft1", broker=CELERY_BROKER_URL, include=['post'])
app.config_from_object('django.conf:settings', namespace='CELERY')
app.autodiscover_tasks(lambda: settings.INSTALLED_APPS) #post is in my installed apps
draft1 / tasks.py
@periodic_task(run_every=timedelta(minutes=1))
def test_job():
from polls.models import Question
for i in Question.objects.all():
if i.question_text == "test":
i.question_text = "not_test"
i.save()
return HttpResponseRedirect('/')
@periodic_task(name='run_scheduled_jobs', run_every=timedelta(seconds=30))
def run_scheduled_jobs():
return True
发表/ tasks.py
@periodic_task(name='test_post', run_every=timedelta(seconds=30))
def test_post():
from .models import Post
for i in Post.objects.all():
if i.entered_category == "test":
i.entered_category = "not_test"
i.save()
return HttpResponseRedirect('/')
@periodic_task(name='post_jobs', run_every=timedelta(seconds=30)) # task name found! celery will do its job
def post_jobs():
# do whatever stuff you do
return True
settings.py
CELERYBEAT_SCHEDULE = {
'run_scheduled_jobs': {
'task': 'run_scheduled_jobs', # the same goes in the task name
'schedule': timedelta(seconds=45),
},
'test_job': {
'task': 'tasks.test_job',
'schedule': timedelta(minutes=3),
},
'post_jobs': {
'task': 'post.tasks.post_jobs', #i've also tried tasks.post_jobs
'schedule': timedelta(minutes=1),
},
'test_post': {
'task': 'post.tasks.test_post',
'schedule': timedelta(seconds=45),
}
}
这是启动工作人员的命令:celery -A draft1 worker -l info
和芹菜节拍通过以下方式开始:celery -A draft1 beat -l info --scheduler
。
draft1/tasks.py
中的任务是我收到的唯一任务:
为什么会这样?
答案 0 :(得分:0)
您传递的celery -A
开关明确地为draft1
应用创建了一个工作线程。您需要为post
应用设置单独的工作人员,并为该设备设置celery.py
,以便您可以为post
创建单独的Celery实例任务。如果你愿意,这些显然可以共享相同的消息代理(并且你可能会这样做)。