We have a server running celery workers and a Redis queue. The tasks are defined on that server.
I need to be able to call these tasks from a remote machine.
I know that
What you found was right.
from celery.execute import send_task
send_task('tasks.add')
If any args needed
send_task('tasks.add', kwargs={'a': 1, 'b': 2})
on the remote machine, start up celery with the broker_url pointing to the machine you want to run the tasks on. Then just submit the tasks (if you have specific queues to submit to, then add the appropriate routing keys).
There are several ways to define routing rules, the most general of which is the custom router object. In all cases, the caller just provides a routing_key
parameter in send_task
, delay
or apply_async
and the router determines which queue to send the task into.
This may be a way: Creating a Celery object and using send_task from that object, the object can have the configuration to find the broker.
from celery import Celery
celery = Celery()
celery.config_from_object('celeryconfig')
celery.send_task('tasks.add', (2,2))
celeryconfig is a file containing the celery configuration, there are other ways set config on the celery object.