You would then, of course, have to use the primary key to … If you change the Django TIME_ZONE setting your periodic task schedule will still be based on the old timezone.. To fix that you would have to reset the "last run time" for each periodic task: >>> from django_celery_beat.models import PeriodicTask, PeriodicTasks >>> PeriodicTask.objects.all().update(last_run_at=None) >>> for task in PeriodicTask.objects.all(): … Django Users. django_celery_beat.models.IntervalSchedule; A schedule that runs at a specific interval (e.g.

Warning. django_celery_beat.models.PeriodicTask; This model defines a single periodic task to be run. Do not pass Django model objects to Celery tasks. every 5 seconds). Celery recommends and is compatible with the new USE_TZ setting introduced in Django 1.4. For Django users the time zone specified in the TIME_ZONE setting will be used, or you can specify a custom time zone for Celery alone by using the timezone setting. To avoid cases where the model object has already changed before it is passed to a Celery task, pass the object’s primary key to Celery. django_celery_beat.models.CrontabSchedule Create a Periodic Task.

Requirements. django-celery-fulldbresult works with Python 2.7 and 3.4+. Choose or create an application in your Django project to include the Scraper. One thing you might want to use in your project is a Scraper, which is, for example, an aplication that runs periodicaly at night to update some data for your web site. It must be associated with a schedule, which defines how often the task should run. A memory-efficient alternative to a task’s ETA or countdown; Django commands to identify tasks that are never completed or that are scheduled but never sent (e.g., if the worker crashes before it can report the result or while a scheduled task is being sent to a worker).