Huey periodic
The native Huey periodic adapter for z4j. With the durable-control producer setup below, it supports inventory, create, edit, pause, resume, delete and Run now from the z4j dashboard.
Compatibility
Section titled “Compatibility”Huey 2.4+ (Huey 2 and 3); Python 3.11+.
Installation and producer setup
Section titled “Installation and producer setup”Run the z4j server, z4j-core, z4j-bare and z4j-hueyperiodic from the same
release, and install the native scheduler and broker/store dependencies used by
your application. The example
assumes your task code, writable application-state directory and agent credentials
already exist. Use the project UUID from agent registration.
import osfrom myapp.tasks import huey # Import all decorated tasks first; use utc=True.from z4j_bare import NativeScheduleControl, install_agentfrom z4j_hueyperiodic import HueyPeriodicAdapter
adapter = HueyPeriodicAdapter( huey=huey, control=NativeScheduleControl("/var/lib/myapp/huey-schedules.sqlite3"),)agent = install_agent( engines=[], schedulers=[adapter], brain_url=os.environ["Z4J_BRAIN_URL"], token=os.environ["Z4J_TOKEN"], hmac_secret=os.environ["Z4J_HMAC_SECRET"], project_id=os.environ["Z4J_PROJECT_ID"],)try: huey.create_consumer(periodic=True).run()finally: agent.stop()Construct the adapter in the actual periodic consumer process, before starting
that consumer. An agent in a separate web process cannot change the consumer's
in-memory registry. Without control, discovery and manual runs remain available
but dashboard definition changes are disabled.
Dashboard controls
Section titled “Dashboard controls”The connected producer supports inventory, create, edit, pause, resume, delete and Run now. A write is complete only after z4j accepts a snapshot confirming the native source. The dashboard uses the current connection's advertised capabilities; an unavailable producer cannot accept new edits. Repeating an operation ID does not submit it twice. A timeout or uncertain outcome requires inspection before submitting a new request.
A pause prevents future scheduling. Work already queued or running can finish. Run now submits an additional execution without resuming a paused schedule. Native scheduling keeps the upstream scheduler's timing and delivery semantics; it does not acquire z4j-scheduler's catch-up, overlap or exactly-once guarantees. Queue task history requires the corresponding engine adapter in the workers.
Code definitions and durable overrides
Section titled “Code definitions and durable overrides”NativeScheduleControl stores dashboard changes in a private SQLite file in
the producer's application state directory. Keep that file on a durable local
volume, back it up with the application, and reuse the same path after restart.
Use a separate file for each application and scheduler owner. Do not put it on
an ephemeral container filesystem or a network filesystem.
Code supplies the initial definitions. Dashboard edits override only the fields that were changed, including the enabled flag. Other code changes remain visible on the next inventory. Removing a code definition removes its projection; reintroducing the same source identity restores any saved override. Deletion is a durable tombstone, so restarting the application does not recreate it. Dashboard-created schedules survive with the same file. No Python files are rewritten. New schedules can invoke only tasks already registered in the host application; deploying new task code remains an application operation.
The producer reads committed controls locally and keeps scheduling during a z4j server outage. If that local state cannot be read or validated, periodic dispatch is withheld and the error is logged. Normal task processing continues. Install control before starting periodic dispatch. Keep one periodic producer per application, as required by its native scheduler. There is currently no separate dashboard action to remove an override and restore the code default.
Supported definitions and limits
Section titled “Supported definitions and limits”- Supported definitions use Huey's
crontab(...)validator, with five numeric cron fields, UTC and the application's configured Huey queue. - Custom Python datetime predicates are not serializable cron definitions; managed startup rejects them before replacing the producer hook.
- Registered ordinary Huey tasks can also receive dashboard-created periodic schedules.
- Cron uses Huey's weekday convention, Sunday=0 or 7. Periodic dispatch is minute-granular.