2 Commits
Author SHA1 Message Date
dennisthiessenandClaude Opus 5 94baa89423 fix(jobs): make last-run writes atomic and drain them properly on shutdown
Deploy / lint (push) Successful in 11s
Deploy / test (push) Successful in 1m18s
Deploy / deploy (push) Successful in 42s
Two review findings on 22bee28, both reproduced before fixing.

[1] Concurrent writes could lose or rewind a row. record_finish did
select-then-insert-or-update, and pipelines are separate scheduler jobs that can
overlap while sharing step ids -- data_collector belongs to all four. Reproduced
both halves: two sessions that SELECT before either INSERTs make the second
commit raise IntegrityError, which _persist_job_run swallows, so the run
silently vanishes; and a later write carrying an OLDER finished_at rewound the
row from 12:00 back to 09:00, dragging the status with it, so the panel would
report a stale outcome as the latest.

Now a single atomic INSERT ... ON CONFLICT (job_name) DO UPDATE, guarded by
WHERE job_run_state.finished_at < excluded.finished_at so an older completion
can never overwrite a newer one. Dialect-specific because prod is Postgres and
tests are SQLite; both support it (SQLite >= 3.24, ours is 3.45). updated_at is
set explicitly, as the model's onupdate hook does not fire for a core upsert,
and get_map now uses populate_existing since core writes leave any
previously-loaded ORM instance stale in the identity map.

[2] Shutdown could dispose the engine underneath a pending write.
scheduler.shutdown(wait=False) returns before APScheduler dispatches its
completion events, and those events are what create persist tasks -- so a single
snapshot of the task set missed writes still to be queued. flush_job_run_persists
now settles briefly for pending callbacks, then drains in a loop until the set
stays empty, with the deadline still bounding total shutdown time. Left
shutdown(wait=False) alone deliberately: waiting would block a deploy restart
behind a long-running scan.

Six regression tests: interleaved first writes, older-never-rewinds,
newer-still-wins, a task queued mid-drain, prompt return when idle, and giving
up rather than hanging shutdown.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-08 14:15:05 +02:00
dennisthiessenandClaude Opus 5 22bee28ac7 feat(jobs): persist each job's last run so it survives a restart
Job outcomes lived only in scheduler._job_runtime, an in-memory dict. Every
deploy wiped it, so Admin -> Jobs could report "Active" with no indication a job
had ever run or how it ended -- which is the main thing that page is for.

New job_run_state table (migration 031): one row per job, upserted on job_name.
Deliberately not history -- system_events already grows unbounded with no
retention job, and a second append-only operational table would repeat that
debt. Adding history later is purely additive.

Written from two hooks, NOT from _runtime_finish. That looked cheapest (one
function, ~40 call sites) but unit tests invoke job coroutines directly, so it
would fire detached DB writes at the real session factory throughout the suite,
and there is no testing flag to guard on.

  - An APScheduler EVENT_JOB_EXECUTED/ERROR listener covers everything the
    scheduler fires, including manual triggers. Its detached task is held in a
    module-level set (a bare create_task result can be collected mid-flight) and
    drained in the app lifespan before engine.dispose().
  - _run_pipeline persists directly, and must: pipeline steps are plain
    coroutine calls that emit no scheduler events, so the listener cannot see
    them. The step persist sits AFTER the except that swallows step errors --
    inside it, exactly the failed runs worth seeing would be skipped. The
    orchestrator persists in the finally, and the disabled early-return persists
    too, or "skipped" is silently dropped.

_persist_job_run never raises: a persistence failure must not break an otherwise
successful pipeline.

The API reports this as last_run_* and leaves runtime_* meaning strictly live
in-memory state. Reusing runtime_status would have been a regression, not a
no-op: JobControls drives the status chip from it (a job that errored eight days
ago would read "Last run error" forever instead of "Active") and picks the
rate-limit banner from it (a week-old rate limit would pin the banner
permanently). Tests pin the split.

The table starts empty; each job fills its row the next time it finishes. No
backfill from system_events, which records only warning/error outcomes under a
different status vocabulary and would invent successes that never happened.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-08 12:19:29 +02:00