Skip to main content

Generic, payload-agnostic, multipod-safe scheduled-jobs core -- cross-pod-locked tick engine, reschedule math, store protocols, and a default kind+payload store

Project description

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); enumerate due rows; per-row CAS-claim + reschedule; invoke an injected dispatch callback; drift / missed-fire accounting; per-row failure isolation. Takes the store(s), the dispatch callback, and the NATS client as parameters, with no domain knowledge.
  • 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

3tears_scheduled_jobs-0.14.1.tar.gz (47.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

3tears_scheduled_jobs-0.14.1-py3-none-any.whl (41.7 kB view details)

Uploaded Python 3

File details

Details for the file 3tears_scheduled_jobs-0.14.1.tar.gz.

File metadata

  • Download URL: 3tears_scheduled_jobs-0.14.1.tar.gz
  • Upload date:
  • Size: 47.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.1 {"installer":{"name":"uv","version":"0.11.1","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for 3tears_scheduled_jobs-0.14.1.tar.gz
Algorithm Hash digest
SHA256 eef0a616a2f7a2ea2d662f7f94de1d31fec647e55fba04fcd316c5dc03828f96
MD5 6c3e2ef54ae75919db84cb371ee92812
BLAKE2b-256 c64de8ac24cd7790f8685a7135b1794845b54ff883d8bbd8e7196738a6edb6e5

See more details on using hashes here.

File details

Details for the file 3tears_scheduled_jobs-0.14.1-py3-none-any.whl.

File metadata

  • Download URL: 3tears_scheduled_jobs-0.14.1-py3-none-any.whl
  • Upload date:
  • Size: 41.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.1 {"installer":{"name":"uv","version":"0.11.1","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for 3tears_scheduled_jobs-0.14.1-py3-none-any.whl
Algorithm Hash digest
SHA256 29e2a71cffc4455508355ceb6b414107f4317087442ad08536941efac7848983
MD5 630248f2610ce395b4a20fc187452bd9
BLAKE2b-256 ced364df471b6428ff73ad6f50689333069f0014905b1352fcedac3b787e0045

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page