3tears-scheduled-jobs

A generic, payload-agnostic, multipod-safe scheduled-jobs core. Every agent/skill/webhook/conversation-specific concept is stripped out, leaving only the scheduling machinery.

What it gives you:

  • scheduled_tick_job(...) -- one cross-pod-locked tick pump. Acquire the nats_distributed_lock at a caller-supplied key; on LockHeld skip silently; on KvError degrade open (the per-row optimistic-CAS is the real guard); sweep abandoned in-flight fires per kind group; enumerate due rows of the routed kinds; per-row CAS-claim + reschedule; invoke the handler registered for that row's kind; drift / missed-fire accounting; per-row failure isolation. Takes the store(s), a DispatchRoutes table, and the NATS client as parameters, with no domain knowledge.
  • Per-kind routing, and an unrouted kind is inert. The pump's kind -> handler table is matched EXACTLY -- no wildcard, no default handler, no fall-through -- and it also scopes the due-row scan (a SQL predicate, not a Python filter) and the reaper sweep. A row whose kind has no handler is refused with an unrouted_kind failure metric and an ERROR event, and is deliberately not claimed, so the occurrence survives until its handler is registered. Silent misdelivery is the failure this prevents: a row absorbed by another kind's dispatcher does that dispatcher's work and records it as a success.
  • Per-kind reap thresholds. dispatch_reap_after_seconds_by_kind overrides DEFAULT_DISPATCH_REAP_AFTER_SECONDS per kind, so a kind whose work legitimately runs for hours is not reaped on the 15-minute baseline. Kinds sharing a threshold sweep in one query. Note the age is measured from dispatch start, not last activity, so the threshold alone only moves the false-reap cliff -- pair it with progress-conditioned renewal in the executor.
  • A distinct lock key per pump. JobConfig.tick_lock_key defaults to DEFAULT_TICK_LOCK_KEY; consumers running more than one pump in a process MUST vary it, or the pumps serialise against each other for no reason.
  • compute_next_fire_at(...) -- the pure reschedule math for every schedule type (daily_at, every_n_hours, random_within_window, one_shot_at, cron, relative_delay, interval) and both missed-fire policies (coalesce, catch_up). The cron branch imports APScheduler lazily, so non-cron consumers pay nothing.
  • ScheduleStore / FireStore Protocols -- the exact surface the tick engine calls. The engine depends only on these, so a typed consumer collection can implement them.
  • A default store -- ScheduledJobEntity / JobFireEntity + collections + scheduled_jobs / job_fires table factories + a v001 migration, keyed on an opaque kind (TEXT) + payload (JSONB). A simple consumer can use it as-is with no table of its own.
  • Generic config / events / metrics -- a JobConfig protocol, the tick / fire / drift event-name constants, and cardinality-bounded Prometheus instruments.

The engine is pure-async, one tick per call with no internal polling. Drive cadence with whatever scheduler you like (an APScheduler IntervalTrigger, a while True: await asyncio.sleep(...), and so on). The engine does not own the scheduler.

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  • Released:
Newer release available (0.41.4)

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Credits

Author: pace

GitHub Statistics

Data verified by PyPI on Sep 13, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
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Requires

Python >=3.14

Provides Extra

prometheus

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