z4j-rq
The RQ engine adapter for z4j.
Streams every RQ job lifecycle event from your workers to z4j and accepts operator control actions from the dashboard. Pair with z4j-rqscheduler to manage periodic schedules.
Compatibility
- RQ 1.10+ and <3 (capped below the RQ 3.0 breaking-major rewrite)
- Python 3.11+
Full per-adapter matrix at https://z4j.dev/reference/compatibility/.
What it ships
| Capability | Notes |
|---|---|
| Job lifecycle events | started, succeeded, failed, revoked (canceled) |
| Job discovery | runtime registry of queue names + worker introspection |
| Submit / retry / cancel | direct against the RQ queue |
| Bulk retry | filter-driven; re-enqueues matching jobs from the failed registry |
| Purge queue | with confirm-token guard |
| Reconcile task | via Redis-backed job hash lookup |
Install
pip install z4j-rq z4j-rqscheduler
Pair with a framework adapter:
pip install z4j-django z4j-rq z4j-rqscheduler # Django
pip install z4j-flask z4j-rq z4j-rqscheduler # Flask
pip install z4j-fastapi z4j-rq z4j-rqscheduler # FastAPI
pip install z4j-bare z4j-rq z4j-rqscheduler # framework-free worker
Pairs with
z4j-rqscheduler, schedule adapter for rq-scheduler
Reliability
- No exception from the adapter ever propagates back into your RQ workers or job hooks.
- Events buffer locally when z4j is unreachable; workers never block on network I/O.
Documentation
Full docs at z4j.dev/engines/rq/.
License
Apache-2.0, see LICENSE.
Links
- Homepage: https://z4j.com
- Documentation: https://z4j.dev
- PyPI: https://pypi.org/project/z4j-rq/
- Issues: https://github.com/z4jdev/z4j-rq/issues
- Changelog: CHANGELOG.md
- Security: security@z4j.com (see SECURITY.md)
1 maintainer
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