Files
peter e49b77dbcd fix(scheduler): move the single-run claim into _job (cover both paths)
The atomic claim added in trigger_job only covered the manual path; a scheduled
fire sets running via _job without claiming, so a manual trigger racing it could
still double-run, and the claim (set outside _job) could leak if _job threw
before its own cleanup. Move _claim_running to the top of _job — the one point
both the scheduled fire and the manual trigger pass through — and release it in
_job's finally, so exactly one run wins whichever path it comes from and a
failure can never wedge the job "running". trigger_job's _is_running check is now
just a best-effort fast answer for the UI. Unit-test _claim_running (and
is_messageable_user).
2026-07-23 03:50:04 +02:00

470 lines
18 KiB
Python

"""Background scheduler: free RSS detection, enrichment of new videos, and quota-aware
recent-first / deep backfill. Runs inside the API process (single worker)."""
import contextvars
import logging
import threading
from datetime import datetime, timezone
from typing import Callable
from apscheduler.schedulers.background import BackgroundScheduler
from sqlalchemy import select
from app import audit, progress, quota
from app.audit import AuditAction
from app.config import settings
from app.db import SessionLocal
from app.downloads.gc import run_download_gc
from app.models import SchedulerSetting
from app.plex.sync import sync as run_plex_sync
from app.plex.watch_sync import run_plex_watch_reconcile, run_plex_watch_sync
from app.notifications import create_notification
from app.state import is_sync_paused
from app.sync.autotag import run_autotag_all
from app.sync.explore import purge_ephemeral
from app.sync.maintenance import run_maintenance
from app.sync.playlists import sync_all_playlists
from app.sync.runner import (
run_deep_backfill,
run_enrich,
run_recent_backfill,
run_rss_poll,
run_shorts,
run_subscription_resync,
)
logger = logging.getLogger("siftlode.scheduler")
_scheduler: BackgroundScheduler | None = None
# Per-job run activity, kept in-memory for the admin Scheduler dashboard to read (the
# scheduler lives in the same single-worker process as the API, so a request can read it
# directly). Ephemeral by design — it reflects "what the scheduler is doing right now and
# how the last runs went" since this process started; durable history isn't the goal here.
_activity: dict[str, dict] = {}
_activity_lock = threading.Lock()
# Set (per-thread) by a manual "run now" trigger to the id of the admin who clicked, so that
# run — and only that run, not the recurring scheduled ones — posts a completion notification
# to their inbox. Unset (None) for scheduled runs.
_manual_actor: contextvars.ContextVar[int | None] = contextvars.ContextVar(
"manual_actor", default=None
)
# Each interval job's env/config default period (minutes). The admin can override any of
# these at runtime (stored in scheduler_settings, applied live); see load_intervals.
JOB_INTERVALS: dict[str, int] = {
"rss_poll": settings.rss_poll_minutes,
"enrich": settings.enrich_interval_minutes,
"backfill": settings.backfill_interval_minutes,
"autotag": settings.autotag_interval_minutes,
"shorts": settings.shorts_probe_interval_minutes,
"subscriptions": settings.subscriptions_resync_minutes,
"playlist_sync": settings.playlist_sync_minutes,
"maintenance": settings.maintenance_interval_minutes,
"demo_reset": settings.demo_reset_minutes,
"explore_cleanup": settings.explore_cleanup_minutes,
"download_gc": settings.download_gc_minutes,
"plex_sync": settings.plex_sync_interval_min,
"plex_watch_sync": settings.plex_watch_sync_interval_min,
"plex_watch_reconcile": settings.plex_watch_reconcile_interval_min,
"audit_gc": settings.audit_gc_minutes,
}
# Sane bounds for an admin-set interval (minutes).
MIN_INTERVAL = 1
MAX_INTERVAL = 1440 # one day
def load_intervals(db) -> dict[str, int]:
"""Effective per-job intervals: the env/config defaults overlaid with any admin overrides
saved in scheduler_settings."""
iv = dict(JOB_INTERVALS)
for row in db.execute(select(SchedulerSetting)).scalars():
if row.job_id in iv and row.interval_minutes:
iv[row.job_id] = row.interval_minutes
return iv
def apply_interval(db, job_id: str, minutes: int) -> int:
"""Persist a job's interval override and reschedule the live job immediately (if the
scheduler runs in this process). Returns the applied value."""
if job_id not in JOB_INTERVALS:
raise KeyError(job_id)
minutes = max(MIN_INTERVAL, min(MAX_INTERVAL, int(minutes)))
row = db.get(SchedulerSetting, job_id)
if row is None:
db.add(SchedulerSetting(job_id=job_id, interval_minutes=minutes))
else:
row.interval_minutes = minutes
db.commit()
if _scheduler is not None and _scheduler.get_job(job_id) is not None:
_scheduler.reschedule_job(job_id, trigger="interval", minutes=minutes)
logger.info("rescheduled job %s to every %s min", job_id, minutes)
return minutes
def _now_iso() -> str:
return datetime.now(timezone.utc).isoformat()
def _record(name: str, **fields) -> None:
with _activity_lock:
_activity.setdefault(name, {}).update(fields)
def _notify_done(db, actor_id: int, job_id: str, status: str, summary: str | None) -> None:
"""Post a completion notice to the triggering admin's inbox (manual runs only). Best
effort — a notification failure must never mask the job's own outcome."""
try:
create_notification(
db,
user_id=actor_id,
type="scheduler",
title=f"{job_id}: {status}", # English fallback; UI renders translated from data
body=summary,
data={"job_id": job_id, "status": status, "summary": summary},
)
except Exception:
db.rollback()
logger.exception("failed to write completion notification for job %s", job_id)
def _run_changed(result) -> bool:
"""Did an automatic job run actually do something worth an audit row? (No-op polls don't.)
A "change" = a truthy NUMERIC count; status-string dicts like {"skipped": "disabled"} (Plex
off — the default) or {"skipped": "no demo account"} are no-ops, not changes, so they don't
flood the trail every interval."""
if result is None:
return False
if isinstance(result, dict):
return any(isinstance(v, (int, float)) and v for v in result.values())
if isinstance(result, (int, float)):
return result != 0
return bool(result)
def _audit_run(db, actor_id, job_id, status, summary, result) -> None:
"""Write ONE run-summary audit row per job run (never per-item). Manual runs (an admin
clicked "run now" → actor_id set) and errors are always logged; automatic runs only when
they changed something, so routine no-op polls don't spam the trail. Best-effort."""
if actor_id is None and status == "ok" and not _run_changed(result):
return
try:
audit.record(
db, actor_id, AuditAction.JOB_RUN, target_type="job", target_id=job_id,
summary=f"{job_id}: {status}" + (f" — {summary}" if summary else ""),
after={"status": status, "summary": summary},
)
db.commit()
except Exception:
db.rollback()
logger.exception("failed to write audit row for job %s", job_id)
def _job(name: str, fn) -> None:
# The one place both run paths converge (manual trigger AND scheduled fire), so claim the run
# HERE, atomically: whichever reaches this first wins, the other skips. This is the real
# single-run guard — trigger_job's pre-check is only a fast best-effort answer for the UI.
if not _claim_running(name):
logger.info("job %s already running — skipping this trigger", name)
return
db = SessionLocal()
actor_id = _manual_actor.get() # set only for a manual "run now" trigger
_record(name, last_started=_now_iso(), last_error=None, progress=None) # running already claimed
def sink(current, total, phase):
_record(name, progress={"current": current, "total": total, "phase": phase})
try:
if is_sync_paused(db):
logger.info("job %s skipped (sync paused)", name)
_record(name, status="skipped", last_finished=_now_iso(),
last_result="paused", progress=None)
if actor_id is not None:
_notify_done(db, actor_id, name, "skipped", "sync paused")
_audit_run(db, actor_id, name, "skipped", "sync paused", None)
return
with progress.bind(sink):
result = fn(db)
summary = _summarize(result)
logger.info("job %s -> %s", name, result)
_record(name, status="ok", last_finished=_now_iso(),
last_result=summary, progress=None)
if actor_id is not None:
_notify_done(db, actor_id, name, "ok", summary)
_audit_run(db, actor_id, name, "ok", summary, result)
except Exception as exc:
db.rollback()
logger.exception("job %s failed", name)
err = str(exc) or exc.__class__.__name__
_record(name, status="error", last_finished=_now_iso(),
last_error=err, progress=None)
if actor_id is not None:
_notify_done(db, actor_id, name, "error", err)
_audit_run(db, actor_id, name, "error", err, None)
finally:
# ALWAYS release the claim, even if the body raised before its own status update — so a
# failure can never wedge the job as permanently "running".
_record(name, running=False)
db.close()
def _summarize(result) -> str | None:
"""Compact one-line rendering of a job's return value for the dashboard."""
if result is None:
return None
if isinstance(result, dict):
return ", ".join(f"{k}={v}" for k, v in result.items()) or None
return str(result)
def scheduler_snapshot() -> dict:
"""What the scheduler is doing, for the admin dashboard. `running_here` is False in
environments where the scheduler is disabled (e.g. local dev shares the prod-ish DB but
runs no scheduler), so the UI can say so while still showing DB-derived queue/quota."""
running_here = _scheduler is not None
next_runs: dict[str, str | None] = {}
live_intervals: dict[str, int] = {}
if _scheduler is not None:
for job in _scheduler.get_jobs():
nr = getattr(job, "next_run_time", None)
next_runs[job.id] = nr.astimezone(timezone.utc).isoformat() if nr else None
iv = getattr(job.trigger, "interval", None)
if iv is not None:
live_intervals[job.id] = round(iv.total_seconds() / 60)
with _activity_lock:
acts = {k: dict(v) for k, v in _activity.items()}
jobs = []
for job_id, default_interval in JOB_INTERVALS.items():
a = acts.get(job_id, {})
jobs.append(
{
"id": job_id,
"interval_minutes": live_intervals.get(job_id, default_interval),
"next_run": next_runs.get(job_id),
"running": a.get("running", False),
"status": a.get("status"),
"last_started": a.get("last_started"),
"last_finished": a.get("last_finished"),
"last_result": a.get("last_result"),
"last_error": a.get("last_error"),
"progress": a.get("progress"),
}
)
return {"running_here": running_here, "enabled": settings.scheduler_enabled, "jobs": jobs}
def _rss_job() -> None:
_job("rss_poll", run_rss_poll)
def _enrich_job() -> None:
def work(db):
with quota.attribute(None, quota.QuotaAction.VIDEOS_ENRICH):
return run_enrich(db)
_job("enrich", work)
def _backfill_job() -> None:
# Recent-first for not-yet-synced channels, then deep backfill for the rest. All
# background spend is attributed to the system (no actor), split by action.
def work(db):
with quota.attribute(None, quota.QuotaAction.VIDEOS_BACKFILL_RECENT):
recent = run_recent_backfill(db, max_channels=25)
with quota.attribute(None, quota.QuotaAction.VIDEOS_BACKFILL_FULL):
deep = run_deep_backfill(db, max_channels=10)
return {"recent": recent, "deep": deep}
_job("backfill", work)
def _autotag_job() -> None:
_job("autotag", lambda db: run_autotag_all(db, only_missing=True))
def _shorts_job() -> None:
_job("shorts", run_shorts)
def _subscriptions_job() -> None:
def work(db):
with quota.attribute(None, quota.QuotaAction.SUBSCRIPTIONS_RESYNC):
return run_subscription_resync(db)
_job("subscriptions", work)
def _playlist_sync_job() -> None:
# Mirror each read-scope user's YouTube playlists; per-user quota attribution is
# handled inside sync_all_playlists.
_job("playlist_sync", sync_all_playlists)
def _maintenance_job() -> None:
def work(db):
with quota.attribute(None, quota.QuotaAction.MAINTENANCE_REVALIDATE):
return run_maintenance(db)
_job("maintenance", work)
def _demo_reset_job() -> None:
# Auto-clean the shared demo sandbox. No-op (and never creates one) if there's no demo
# account. Lazy import avoids a routes<->scheduler import cycle.
def work(db):
from app.models import User
demo = db.query(User).filter(User.is_demo.is_(True)).one_or_none()
if demo is None:
return {"skipped": "no demo account"}
from app.routes.admin import reset_demo_state
return {"playlists_seeded": reset_demo_state(db, demo)}
_job("demo_reset", work)
def _explore_cleanup_job() -> None:
# Reclaim un-kept ephemeral discovery content (explored channels + live-search results) after
# their grace periods. 0 quota (pure DB), so no quota attribution.
_job("explore_cleanup", purge_ephemeral)
def _download_gc_job() -> None:
# Retention GC for the download center: pre-expiry warnings, TTL deletion, LRU eviction.
# Pure disk/DB work (no YouTube quota).
_job("download_gc", run_download_gc)
def _plex_sync_job() -> None:
# Mirror the enabled Plex library sections into the local catalog. Pure metadata (no YouTube
# quota); a no-op when the Plex module is disabled.
_job("plex_sync", run_plex_sync)
def _plex_watch_sync_job() -> None:
# Incremental Plex→Siftlode watch-state pull (history + on-deck) + re-push of unsynced local
# states. Cheap; a no-op when Plex is disabled or no owner link has sync enabled.
_job("plex_watch_sync", run_plex_watch_sync)
def _plex_watch_reconcile_job() -> None:
# Full watch-state reconcile (whole-section rescan) — catches un-watches the incremental feed
# can't. Heavier, so it runs far less often (daily default).
_job("plex_watch_reconcile", run_plex_watch_reconcile)
def _audit_gc_job() -> None:
# Prune audit-log rows older than the admin-set retention (audit_retention_days; 0 = keep
# forever). Pure DB, no quota.
def work(db):
from app import sysconfig
return {"reaped": audit.gc(db, sysconfig.get_int(db, "audit_retention_days"))}
_job("audit_gc", work)
# job_id -> wrapper. The single source of truth for which jobs exist and how to run one,
# shared by start_scheduler (recurring registration) and trigger_job (manual "run now").
JOB_FUNCS: dict[str, Callable[[], None]] = {
"rss_poll": _rss_job,
"enrich": _enrich_job,
"backfill": _backfill_job,
"autotag": _autotag_job,
"shorts": _shorts_job,
"subscriptions": _subscriptions_job,
"playlist_sync": _playlist_sync_job,
"maintenance": _maintenance_job,
"demo_reset": _demo_reset_job,
"explore_cleanup": _explore_cleanup_job,
"download_gc": _download_gc_job,
"plex_sync": _plex_sync_job,
"plex_watch_sync": _plex_watch_sync_job,
"plex_watch_reconcile": _plex_watch_reconcile_job,
"audit_gc": _audit_gc_job,
}
def _is_running(job_id: str) -> bool:
with _activity_lock:
return bool(_activity.get(job_id, {}).get("running"))
def _claim_running(job_id: str) -> bool:
"""Atomically claim a job as running: True if it was idle (and marks it running now), False if
it was already running. Holding the lock across BOTH the check and the set is what makes the
single-run guard race-free — called once at the top of _job so a manual trigger and a scheduled
fire (or two rapid triggers) converge here and exactly one wins. Released in _job's finally."""
with _activity_lock:
if _activity.get(job_id, {}).get("running"):
return False
_activity.setdefault(job_id, {})["running"] = True
return True
def running_job_ids() -> set[str]:
"""Ids of jobs executing right now (any trigger). Lets non-admin surfaces — e.g. the
header's sync indicator — reflect real activity instead of just pending-work counts."""
with _activity_lock:
return {jid for jid, a in _activity.items() if a.get("running")}
def trigger_job(job_id: str, actor_id: int | None = None) -> str:
"""Run a job immediately in a background thread, independent of its interval schedule.
The wrapper handles its own DB session, activity tracking and pause-skip, so the live
dashboard reflects the run. Returns "started", "already_running", or raises KeyError for
an unknown job. Refusing a concurrent run keeps a manual trigger from overlapping a
scheduled run (APScheduler enforces max_instances=1 for the scheduled side).
`actor_id` (the admin who clicked "run now") is stashed in a contextvar inside the new
thread so the run posts a completion notification to that admin's inbox."""
fn = JOB_FUNCS.get(job_id)
if fn is None:
raise KeyError(job_id)
# Best-effort fast answer for the UI; the authoritative single-run guard is _job's atomic claim
# (so a manual trigger and a scheduled fire can't both run). A race here just means the loser's
# _job claims, sees it's taken, and skips — no double run.
if _is_running(job_id):
return "already_running"
def run() -> None:
if actor_id is not None:
_manual_actor.set(actor_id)
fn()
threading.Thread(target=run, name=f"trigger-{job_id}", daemon=True).start()
return "started"
def trigger_all(actor_id: int | None = None) -> list[str]:
"""Trigger every job that isn't already running; returns the ids actually started."""
started = []
for job_id in JOB_FUNCS:
if trigger_job(job_id, actor_id) == "started":
started.append(job_id)
return started
def start_scheduler() -> None:
global _scheduler
if not settings.scheduler_enabled or _scheduler is not None:
return
# Effective intervals = env defaults overlaid with any admin overrides from the DB.
db = SessionLocal()
try:
iv = load_intervals(db)
finally:
db.close()
scheduler = BackgroundScheduler(timezone="UTC")
for job_id, fn in JOB_FUNCS.items():
scheduler.add_job(fn, "interval", minutes=iv[job_id], id=job_id)
scheduler.start()
_scheduler = scheduler
logger.info("scheduler started")
def shutdown_scheduler() -> None:
global _scheduler
if _scheduler is not None:
_scheduler.shutdown(wait=False)
_scheduler = None