Celery dynamic tasks / hiding Celery implementation behind an interface

问题:

I am trying to figure out how to implement my asynchronous jobs with Celery, without tying them to the Celery implementation.

If I have an interface that accepts objects to schedule, such as callables (Or an object that wraps a callable):

ITaskManager(Interface):     def schedule(task):         #eventually run task

And I might implement it with the treading module:

ThreadingTaskManager(object)     def schedule(task):         Thread(task).start() # or similar

But it seems this couldn't be done with celery, am I right?

回答1:

Perhaps one, albeit quite ugly, solution might be to define one celery task which dynamically loads the task object that is passed as an argument:

@celery.task def taskrunner(taskname):     taskModule = __import__(taskname)     taskModule.run()  CeleryTaskManager(object)     def schedule(task):         taskrunner.delay(task.__file__)   from mytask import run  CeleryTaskManager().schedule(run)

转载请标明出处:Celery dynamic tasks / hiding Celery implementation behind an interface

文章来源: Celery dynamic tasks / hiding Celery implementation behind an interface