z4j-huey

The Huey engine adapter for z4j.

Streams supported Huey task lifecycle events from your consumers to the z4j brain and accepts operator control actions from the dashboard. Pair with z4j-hueyperiodic to surface @periodic_task schedules.

What it ships

Not supported (Huey's storage model can't back them faithfully, so the adapter declines the capability instead of faking it): bulk retry, queue purge, dead-letter requeue, worker restart, rate limiting. Cancel uses Huey's revoke-by-id primitive. It prevents a pending task from starting but cannot stop running work.

Compatibility

• Huey 2.4+ and <3 (capped below the Huey 3.0 breaking-major)
• Storage backends: redis, sqlite, in-memory
• Python 3.11+

Full per-adapter matrix at https://z4j.dev/reference/compatibility/.

Install

pip install z4j-huey z4j-hueyperiodic

Pair with a framework adapter:

pip install z4j-django  z4j-huey z4j-hueyperiodic   # Django
pip install z4j-flask   z4j-huey z4j-hueyperiodic   # Flask
pip install z4j-fastapi z4j-huey z4j-hueyperiodic   # FastAPI
pip install z4j-bare    z4j-huey z4j-hueyperiodic   # framework-free worker

Pairs with

• z4j-hueyperiodic, schedule adapter for Huey @periodic_task

Reliability

• Lifecycle-capture failures are isolated from Huey hooks and task code; capture hooks make no brain network request inline.
• The in-process event queue and SQLite outbound buffer are bounded. Queue overflow drops new events and buffer pressure evicts oldest rows; both losses are logged.

Documentation

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

License

Apache-2.0, see LICENSE.

Links

• Homepage: https://z4j.com
• Documentation: https://z4j.dev
• PyPI: https://pypi.org/project/z4j-huey/
• Issues: https://github.com/z4jdev/z4j-huey/issues
• Changelog: CHANGELOG.md
• Security: security@z4j.com (see SECURITY.md)