z4j-celery 1.5.0

z4j Celery queue engine adapter (Apache 2.0)

z4j-celery

The Celery engine adapter for z4j.

Streams every task lifecycle event from your Celery workers to the z4j brain and accepts operator control actions from the dashboard. Pair with z4j-celerybeat to manage periodic / cron schedules.

What it ships

Capability	Notes
Task lifecycle events	submitted, started, succeeded, failed, retried, revoked
Task discovery	runtime registry merge + static tasks.py scan
Submit / retry / cancel	direct against the Celery app
Bulk retry	filter-driven; re-enqueues matching tasks
Purge queue	with confirm-token guard
Requeue dead-letter	from the configured DLX
Restart worker	broadcast pool restart, zero task loss
Pool grow / shrink	via Celery's control API
Rate limit	broker-side via Celery's control channel
Reconcile task	via the result backend

The widest feature coverage of any z4j engine adapter, Celery's rich remote-control surface lets z4j ship capabilities other engines can't match (pool restart with zero task loss, broker-side rate limiting).

Install

pip install z4j-celery z4j-celerybeat

Pair with a framework adapter:

pip install z4j-django  z4j-celery z4j-celerybeat   # Django
pip install z4j-flask   z4j-celery z4j-celerybeat   # Flask
pip install z4j-fastapi z4j-celery z4j-celerybeat   # FastAPI
pip install z4j-bare    z4j-celery z4j-celerybeat   # framework-free worker

Pairs with

• z4j-celerybeat, schedule adapter for Celery Beat / django-celery-beat

Reliability

• No exception from the adapter ever propagates back into your Celery workers or signal handlers.
• Events buffer locally when z4j is unreachable; your workers never slow down or block on network I/O.

Documentation

Full docs at z4j.dev/engines/celery/.

License

Apache-2.0, see LICENSE.

Links

• Homepage: https://z4j.com
• Documentation: https://z4j.dev
• PyPI: https://pypi.org/project/z4j-celery/
• Issues: https://github.com/z4jdev/z4j-celery/issues
• Changelog: CHANGELOG.md
• Security: [e-mail] (see SECURITY.md)