What is celery?
Celery is an asynchronous task queue/job queue based on distributed message passing.
What are tasks?
The execution units, called tasks, are executed concurrently on a single or more worker servers using multiprocessing.
After the tasks had been set up, an error constantly came up whenever a task was called
The error was:
DetachedInstanceError: Instance <User at 0x7f358a4e9550> is not bound to a Session; attribute refresh operation cannot proceed
The above error usually occurs when you try to access the session object after it has been closed. It may have been closed by an explicit session.close() call or after committing the session with session.commit().
The celery tasks in question were performing some database operations. So the first thought was that maybe these operations might be causing the error. To test this theory, the celery task was changed to :
@celery.task(name='lorem.ipsum') def lorem_ipsum(): pass
But sadly, the error still remained. This proves that the celery task was just fine and the session was being closed whenever the celery task was called. The method in which the celery task was being called was of the following form:
def restore_session(session_id): session = DataGetter.get_session(session_id) session.deleted_at = None lorem_ipsum.delay() save_to_db(session, "Session restored from Trash") update_version(session.event_id, False, 'sessions_ver')
In our app, the app_context was not being passed whenever a celery task was initiated. Thus, the celery task, whenever called, closed the previous app_context eventually closing the session along with it. The solution to this error would be to follow the pattern as suggested on http://flask.pocoo.org/docs/0.12/patterns/celery/.
def make_celery(app): celery = Celery(app.import_name, broker=app.config['CELERY_BROKER_URL']) celery.conf.update(app.config) task_base = celery.Task class ContextTask(task_base): abstract = True def __call__(self, *args, **kwargs): if current_app.config['TESTING']: with app.test_request_context(): return task_base.__call__(self, *args, **kwargs) with app.app_context(): return task_base.__call__(self, *args, **kwargs) celery.Task = ContextTask return celery celery = make_celery(current_app)
The __call__ method ensures that celery task is provided with proper app context to work with.