"""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 progress, quota
from app.config import settings
from app.db import SessionLocal
from app.models import SchedulerSetting
from app.notifications import create_notification
from app.state import is_sync_paused
from app.sync.autotag import run_autotag_all
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("subfeed.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,
}

# 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 _job(name: str, fn) -> None:
    db = SessionLocal()
    actor_id = _manual_actor.get()  # set only for a manual "run now" trigger
    _record(name, running=True, last_started=_now_iso(), last_error=None, progress=None)

    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, running=False, 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")
            return
        with progress.bind(sink):
            result = fn(db)
        summary = _summarize(result)
        logger.info("job %s -> %s", name, result)
        _record(name, running=False, 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)
    except Exception as exc:
        db.rollback()
        logger.exception("job %s failed", name)
        err = str(exc) or exc.__class__.__name__
        _record(name, running=False, 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)
    finally:
        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", lambda db: run_rss_poll(db))


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)


# 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,
}


def _is_running(job_id: str) -> bool:
    with _activity_lock:
        return bool(_activity.get(job_id, {}).get("running"))


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)
    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