feat(scheduler): admin dashboard endpoint + per-job activity tracking
Record each scheduler job's run activity in-process (running / last result / error / timestamps) and expose a snapshot. New admin-only GET /api/admin/scheduler returns the per-job activity (with APScheduler next-run times), the DB-derived work still queued (channels/videos pending, deep ETA, live-refresh backlog) and the shared quota picture.
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3 changed files with 177 additions and 2 deletions
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@ -26,7 +26,19 @@ from starlette.middleware.sessions import SessionMiddleware
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from app import auth
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from app.config import settings
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from app.routes import admin, channels, feed, health, me, playlists, quota, sync, tags, version
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from app.routes import (
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admin,
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channels,
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feed,
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health,
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me,
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playlists,
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quota,
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scheduler as scheduler_routes,
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sync,
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tags,
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version,
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)
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from app.scheduler import shutdown_scheduler, start_scheduler
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@ -68,6 +80,7 @@ app.include_router(me.router)
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app.include_router(channels.router)
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app.include_router(playlists.router)
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app.include_router(admin.router)
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app.include_router(scheduler_routes.router)
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app.include_router(quota.router)
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app.include_router(version.router)
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86
backend/app/routes/scheduler.py
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86
backend/app/routes/scheduler.py
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@ -0,0 +1,86 @@
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"""Admin Scheduler dashboard: a live view of what the background scheduler is doing —
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per-job run activity (from the in-process scheduler), the work still queued (DB-derived),
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and the shared quota picture."""
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from fastapi import APIRouter, Depends
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from sqlalchemy import and_, func, or_, select
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from sqlalchemy.orm import Session
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from app import quota, state
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from app.config import settings
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from app.db import get_db
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from app.models import Channel, Subscription, User, Video
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from app.routes.admin import admin_user
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from app.scheduler import scheduler_snapshot
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from app.sync.runner import estimate_deep_backfill
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router = APIRouter(prefix="/api/admin/scheduler", tags=["admin"])
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@router.get("")
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def get_scheduler(
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_: User = Depends(admin_user), db: Session = Depends(get_db)
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) -> dict:
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snap = scheduler_snapshot()
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# Work still queued (shared catalog, so these are instance-wide, not per-user).
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deep_requested = (
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select(Subscription.id)
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.where(
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Subscription.channel_id == Channel.id,
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Subscription.deep_requested.is_(True),
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)
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.exists()
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)
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deep_channels = (
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db.execute(
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select(Channel).where(Channel.backfill_done.is_(False), deep_requested)
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)
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.scalars()
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.all()
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)
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deep_eta = estimate_deep_backfill(db, deep_channels)
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queue = {
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"channels_recent_pending": db.scalar(
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select(func.count()).select_from(Channel).where(Channel.recent_synced_at.is_(None))
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)
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or 0,
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"channels_deep_pending": deep_eta["channels_pending"],
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"deep_eta_seconds": deep_eta["eta_seconds"],
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"videos_pending_enrich": db.scalar(
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select(func.count()).select_from(Video).where(Video.enriched_at.is_(None))
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)
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or 0,
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"videos_pending_shorts": db.scalar(
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select(func.count())
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.select_from(Video)
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.where(Video.shorts_probed.is_(False), Video.enriched_at.is_not(None))
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)
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or 0,
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"videos_live_refresh": db.scalar(
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select(func.count())
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.select_from(Video)
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.where(
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or_(
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Video.live_status.in_(("live", "upcoming")),
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and_(Video.live_status == "was_live", Video.duration_seconds.is_(None)),
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)
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)
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)
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or 0,
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}
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used = quota.units_used_today(db)
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quota_info = {
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"used_today": used,
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"remaining_today": quota.remaining_today(db),
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"daily_budget": settings.quota_daily_budget,
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"backfill_reserve": settings.backfill_quota_reserve,
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}
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return {
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**snap,
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"paused": state.is_sync_paused(db),
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"queue": queue,
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"quota": quota_info,
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}
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@ -1,6 +1,8 @@
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"""Background scheduler: free RSS detection, enrichment of new videos, and quota-aware
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recent-first / deep backfill. Runs inside the API process (single worker)."""
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import logging
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import threading
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from datetime import datetime, timezone
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from apscheduler.schedulers.background import BackgroundScheduler
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@ -23,22 +25,96 @@ logger = logging.getLogger("subfeed.scheduler")
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_scheduler: BackgroundScheduler | None = None
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# Per-job run activity, kept in-memory for the admin Scheduler dashboard to read (the
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# scheduler lives in the same single-worker process as the API, so a request can read it
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# directly). Ephemeral by design — it reflects "what the scheduler is doing right now and
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# how the last runs went" since this process started; durable history isn't the goal here.
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_activity: dict[str, dict] = {}
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_activity_lock = threading.Lock()
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# Each interval job's configured period, surfaced so the dashboard can show "every N min".
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JOB_INTERVALS: dict[str, int] = {
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"rss_poll": settings.rss_poll_minutes,
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"enrich": settings.enrich_interval_minutes,
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"backfill": settings.backfill_interval_minutes,
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"autotag": settings.autotag_interval_minutes,
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"shorts": settings.shorts_probe_interval_minutes,
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"subscriptions": settings.subscriptions_resync_minutes,
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"playlist_sync": settings.playlist_sync_minutes,
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}
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def _now_iso() -> str:
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return datetime.now(timezone.utc).isoformat()
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def _record(name: str, **fields) -> None:
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with _activity_lock:
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_activity.setdefault(name, {}).update(fields)
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def _job(name: str, fn) -> None:
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db = SessionLocal()
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_record(name, running=True, last_started=_now_iso(), last_error=None)
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try:
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if is_sync_paused(db):
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logger.info("job %s skipped (sync paused)", name)
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_record(name, running=False, status="skipped", last_finished=_now_iso(),
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last_result="paused")
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return
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result = fn(db)
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logger.info("job %s -> %s", name, result)
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except Exception:
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_record(name, running=False, status="ok", last_finished=_now_iso(),
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last_result=_summarize(result))
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except Exception as exc:
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db.rollback()
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logger.exception("job %s failed", name)
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_record(name, running=False, status="error", last_finished=_now_iso(),
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last_error=str(exc) or exc.__class__.__name__)
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finally:
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db.close()
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def _summarize(result) -> str | None:
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"""Compact one-line rendering of a job's return value for the dashboard."""
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if result is None:
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return None
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if isinstance(result, dict):
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return ", ".join(f"{k}={v}" for k, v in result.items()) or None
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return str(result)
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def scheduler_snapshot() -> dict:
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"""What the scheduler is doing, for the admin dashboard. `running_here` is False in
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environments where the scheduler is disabled (e.g. local dev shares the prod-ish DB but
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runs no scheduler), so the UI can say so while still showing DB-derived queue/quota."""
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running_here = _scheduler is not None
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next_runs: dict[str, str | None] = {}
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if _scheduler is not None:
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for job in _scheduler.get_jobs():
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nr = getattr(job, "next_run_time", None)
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next_runs[job.id] = nr.astimezone(timezone.utc).isoformat() if nr else None
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with _activity_lock:
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acts = {k: dict(v) for k, v in _activity.items()}
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jobs = []
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for job_id, interval in JOB_INTERVALS.items():
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a = acts.get(job_id, {})
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jobs.append(
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{
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"id": job_id,
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"interval_minutes": interval,
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"next_run": next_runs.get(job_id),
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"running": a.get("running", False),
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"status": a.get("status"),
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"last_started": a.get("last_started"),
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"last_finished": a.get("last_finished"),
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"last_result": a.get("last_result"),
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"last_error": a.get("last_error"),
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}
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)
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return {"running_here": running_here, "enabled": settings.scheduler_enabled, "jobs": jobs}
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def _rss_job() -> None:
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_job("rss_poll", lambda db: run_rss_poll(db))
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