The one-channel deep backfill ran as a FastAPI BackgroundTask: what it fetched, what it spent and
how it failed reached only the log. It is now a one-shot run on the scheduler (`channel_backfill`,
trigger ad_hoc, actor = the user, target = the channel) with its quota tagged to the run. Its
per-channel exclusion with the scheduled backfill and the two-run cap are unchanged, and a run
they turn away says why in its result instead of returning nothing. A failure is no longer
swallowed: the run records it.
The scheduler snapshot carries each job's last three runs (one windowed query), so the page can
show an interrupted or skipped run instead of the latest outcome alone.
What a job last did lived in the API process's memory and was gone at
every restart; the audit log kept a run only when it was manual, failed
or changed something. Now each run is a job_runs row written at its
start and its end in its own session: who started it, its outcome as
data, what it spent of the YouTube quota (quota_events.job_run_id) and
the lines it logged (log_events.run_id, filterable in the log console).
- a run a stopped process left open is marked interrupted at startup
- "run now" is a one-shot job on the scheduler, which now always starts
(interval jobs only with SCHEDULER_ENABLED); the manual actor is reset
after the run, since pool threads are reused
- the dashboard's last run comes from job_runs, so it survives a deploy
- runs leave the audit log: migration 0109 moves the old job_run rows
over (and back on downgrade); the audit page's run folding goes
- job_run_retention_days (default 30) prunes old runs in audit_gc
peter