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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Credits

Author: pace

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Data verified by PyPI on Sep 14, 2026
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License expression

MIT
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Requires

Python >=3.14

Provides Extra

prometheus

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