_insert_stubs previously stored the raw title, so a brand-new video showed its unnormalized title until enrichment caught up. Normalize (and stash original_title) at insert as well, so every video-title write path is covered: stub insert, enrichment, live search, and the download worker. Every newly imported feed video is normalized from the first insert.
389 lines
14 KiB
Python
389 lines
14 KiB
Python
"""Video ingestion: free RSS detection, recent-first (and deep) backfill from the
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uploads playlist, and enrichment via videos.list (duration, stats, category, Shorts
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and livestream classification)."""
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import re
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from concurrent.futures import ThreadPoolExecutor
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from datetime import datetime, timedelta, timezone
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from sqlalchemy import and_, func, or_, select, update
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from sqlalchemy.dialects.postgresql import insert as pg_insert
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from sqlalchemy.orm import Session
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from app import progress, sysconfig
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from app.models import Channel, Video
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from app.titles import normalize_title
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from app.youtube.client import YouTubeClient, best_thumbnail
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from app.youtube.rss import fetch_channel_feed
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from app.youtube.shorts import make_client, probe_is_short
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_DURATION_RE = re.compile(
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r"P(?:(\d+)D)?T(?:(\d+)H)?(?:(\d+)M)?(?:(\d+)S)?", re.IGNORECASE
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)
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def _now() -> datetime:
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return datetime.now(timezone.utc)
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def parse_iso8601_duration(value: str | None) -> int | None:
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if not value:
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return None
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match = _DURATION_RE.fullmatch(value)
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if not match:
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return None
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days, hours, minutes, seconds = (int(g) if g else 0 for g in match.groups())
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return days * 86400 + hours * 3600 + minutes * 60 + seconds
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def parse_dt(value: str | None) -> datetime | None:
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if not value:
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return None
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try:
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return datetime.fromisoformat(value.replace("Z", "+00:00"))
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except ValueError:
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return None
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def _insert_stubs(db: Session, rows: list[dict]) -> int:
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"""Idempotently insert video stubs; returns the number of newly inserted rows.
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Uses RETURNING so the count is exact (ON CONFLICT DO NOTHING leaves rowcount
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unreliable across drivers). Duplicates within the batch are dropped first so a
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single INSERT can't raise CardinalityViolation on the conflict target."""
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if not rows:
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return 0
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seen: dict[str, dict] = {}
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for row in rows:
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# Normalize the title at first insert too (RSS/backfill stubs), so a brand-new video
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# never flashes its raw title before enrichment refreshes it.
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raw = row.get("title")
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if raw:
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row = {**row, "original_title": raw, "title": normalize_title(raw)}
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seen[row["id"]] = row
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stmt = (
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pg_insert(Video)
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.values(list(seen.values()))
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.on_conflict_do_nothing(index_elements=[Video.id])
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.returning(Video.id)
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)
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inserted = len(db.execute(stmt).fetchall())
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db.commit()
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return inserted
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# --- RSS (free) ---
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def apply_rss_feed(db: Session, channel: Channel, entries: list[dict]) -> int:
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"""Insert new video stubs from an already-fetched feed and stamp the channel's last RSS
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time. DB-only — must run on the session's own thread; the network fetch
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(fetch_channel_feed) is kept separate so callers like run_rss_poll can parallelise it."""
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inserted = _insert_stubs(db, entries)
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channel.last_rss_at = _now()
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db.add(channel)
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db.commit()
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return inserted
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def poll_rss_channel(db: Session, channel: Channel) -> int:
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return apply_rss_feed(db, channel, fetch_channel_feed(channel.id))
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# --- Backfill (uploads playlist; costs quota) ---
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def _stub_from_playlist_item(item: dict, channel_id: str) -> dict | None:
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content = item.get("contentDetails", {})
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snippet = item.get("snippet", {})
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video_id = content.get("videoId")
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if not video_id:
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return None
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published = parse_dt(content.get("videoPublishedAt") or snippet.get("publishedAt"))
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return {
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"id": video_id,
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"channel_id": channel_id,
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"title": snippet.get("title"),
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"published_at": published,
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"thumbnail_url": best_thumbnail(snippet.get("thumbnails")),
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}
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def backfill_channel_recent(db: Session, yt: YouTubeClient, channel: Channel) -> int:
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"""First pass: newest videos up to the configured count or age cutoff. Records a
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resume cursor for the later deep backfill."""
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if not channel.uploads_playlist_id:
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channel.recent_synced_at = _now()
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db.add(channel)
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db.commit()
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return 0
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cutoff = _now() - timedelta(days=sysconfig.get_int(db, "backfill_recent_max_days"))
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collected: list[dict] = []
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page_token: str | None = None
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next_cursor: str | None = None
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done = False
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while True:
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page_start = page_token # token that fetched THIS page (None = first page)
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data = yt.get_playlist_items(channel.uploads_playlist_id, page_token)
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stopped_mid_page = False
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for item in data.get("items", []):
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stub = _stub_from_playlist_item(item, channel.id)
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if stub is None:
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continue
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if stub["published_at"] and stub["published_at"] < cutoff:
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stopped_mid_page = True
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break
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collected.append(stub)
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if len(collected) >= sysconfig.get_int(db, "backfill_recent_max_videos"):
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stopped_mid_page = True
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break
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page_token = data.get("nextPageToken")
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if stopped_mid_page:
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# We stopped partway through this page (age cutoff or count cap), so the older
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# items still on it weren't collected. Resume the deep backfill FROM THIS page
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# (re-fetch it; inserts are idempotent) so that tail isn't silently skipped.
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next_cursor = page_start
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done = False
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break
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if not page_token:
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next_cursor = None
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done = True
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break
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next_cursor = page_token # whole page consumed, more pages remain
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channel.recent_synced_at = _now()
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channel.backfill_cursor = next_cursor
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channel.backfill_done = done
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inserted = _insert_stubs(db, collected)
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db.add(channel)
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db.commit()
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return inserted
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def backfill_channel_deep(
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db: Session, yt: YouTubeClient, channel: Channel, max_pages: int = 5
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) -> int:
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"""Continue paging older uploads from the stored cursor (bounded per run)."""
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if channel.backfill_done or not channel.uploads_playlist_id:
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return 0
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page_token = channel.backfill_cursor
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total = 0
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for _ in range(max_pages):
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data = yt.get_playlist_items(channel.uploads_playlist_id, page_token)
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rows = [
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s
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for s in (
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_stub_from_playlist_item(it, channel.id) for it in data.get("items", [])
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)
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if s is not None
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]
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total += _insert_stubs(db, rows)
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page_token = data.get("nextPageToken")
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channel.backfill_cursor = page_token
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if not page_token:
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channel.backfill_done = True
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break
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db.add(channel)
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db.commit()
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return total
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def reconcile_full_history(db: Session) -> int:
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"""Mark channels fully backfilled once their stored uploads meet or exceed YouTube's
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advertised video_count. The uploads playlist length is normally <= the advertised
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count, so 'stored >= video_count' means we already hold the whole history — even if
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the deep cursor never reached the end (e.g. a small channel that was never
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deep-requested, so the demand-driven deep job never ran). Without this such a channel
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sits in 'needs full history' forever despite having every video. Idempotent, no API
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quota; returns the number of channels flipped."""
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stored = (
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select(func.count(Video.id))
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.where(Video.channel_id == Channel.id)
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.scalar_subquery()
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)
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result = db.execute(
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update(Channel)
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.where(
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Channel.backfill_done.is_(False),
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Channel.video_count.is_not(None),
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stored >= Channel.video_count,
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)
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.values(backfill_done=True, backfill_cursor=None)
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)
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db.commit()
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return result.rowcount
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# --- Enrichment (videos.list) ---
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def _live_status(snippet: dict, live_details: dict | None) -> str:
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broadcast = snippet.get("liveBroadcastContent")
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if broadcast == "live":
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return "live"
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if broadcast == "upcoming":
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return "upcoming"
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if live_details and live_details.get("actualEndTime"):
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return "was_live"
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return "none"
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def apply_video_details(video: Video, item: dict) -> None:
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snippet = item.get("snippet", {})
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content = item.get("contentDetails", {})
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stats = item.get("statistics", {})
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topics = item.get("topicDetails", {})
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live = item.get("liveStreamingDetails")
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status = item.get("status", {})
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raw_title = snippet.get("title")
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if raw_title:
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# Store the raw title and a normalized one for display (feed/search/downloads).
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video.original_title = raw_title
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video.title = normalize_title(raw_title)
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video.description = snippet.get("description")
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if not video.published_at:
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video.published_at = parse_dt(snippet.get("publishedAt"))
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video.thumbnail_url = best_thumbnail(snippet.get("thumbnails")) or video.thumbnail_url
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video.duration_seconds = parse_iso8601_duration(content.get("duration"))
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video.view_count = int(stats["viewCount"]) if stats.get("viewCount") else None
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video.like_count = int(stats["likeCount"]) if stats.get("likeCount") else None
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video.category_id = int(snippet["categoryId"]) if snippet.get("categoryId") else None
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# Creator keyword tags (free with the snippet we already fetch) → search document.
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tags = snippet.get("tags")
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video.keywords = " ".join(tags) if tags else None
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video.topic_categories = topics.get("topicCategories")
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video.default_language = snippet.get("defaultLanguage") or snippet.get(
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"defaultAudioLanguage"
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)
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video.live_status = _live_status(snippet, live)
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# status part: used by the maintenance/validation job to judge playability.
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if status:
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video.embeddable = status.get("embeddable")
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video.privacy_status = status.get("privacyStatus")
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video.upload_status = status.get("uploadStatus")
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# is_short is decided separately by the youtube.com/shorts probe (run_shorts_classification).
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def enrich_pending(db: Session, yt: YouTubeClient, limit: int | None = None) -> int:
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limit = limit or sysconfig.get_int(db, "enrich_batch_size")
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videos = (
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db.execute(select(Video).where(Video.enriched_at.is_(None)).limit(limit))
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.scalars()
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.all()
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)
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if not videos:
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return 0
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items = {it["id"]: it for it in yt.get_videos([v.id for v in videos])}
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now = _now()
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enriched = 0
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for video in videos:
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item = items.get(video.id)
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if item is None:
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# Unavailable (deleted/private): stamp so we don't keep retrying.
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video.enriched_at = now
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continue
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apply_video_details(video, item)
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video.enriched_at = now
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enriched += 1
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db.commit()
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return enriched
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def refresh_live(db: Session, yt: YouTubeClient, limit: int | None = None) -> int:
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"""Re-fetch videos in a transient live state so they pick up their final shape.
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`enrich_pending` is one-shot (it only touches enriched_at IS NULL), but a live broadcast
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is not a final state: a stream ends and becomes a normal VOD — gaining a real duration
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and flipping live_status to was_live — and an upcoming premiere eventually goes live then
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ends. So we revisit anything still live/upcoming, plus a just-ended stream that hasn't got
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its duration yet (YouTube can lag a bit after the broadcast), until it settles. Cheap:
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videos.list is 1 unit per 50 ids, and the live/upcoming set is normally tiny."""
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limit = limit or sysconfig.get_int(db, "enrich_batch_size")
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videos = (
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db.execute(
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select(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_(
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Video.live_status == "was_live",
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Video.duration_seconds.is_(None),
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),
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)
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)
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.limit(limit)
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)
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.scalars()
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.all()
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)
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if not videos:
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return 0
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items = {it["id"]: it for it in yt.get_videos([v.id for v in videos])}
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now = _now()
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updated = 0
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for video in videos:
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item = items.get(video.id)
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if item is None:
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# The broadcast vanished (deleted/private). Stop treating it as live so it
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# doesn't get refreshed forever; it just becomes an ordinary (dead) row.
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video.live_status = "none"
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continue
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apply_video_details(video, item)
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video.enriched_at = now
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updated += 1
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db.commit()
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return updated
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def run_shorts_classification(db: Session, limit: int | None = None) -> dict:
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"""Finalize Shorts classification: cheaply mark non-candidates, then probe the
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youtube.com/shorts URL for short-enough, non-live, enriched videos."""
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limit = limit or sysconfig.get_int(db, "shorts_probe_batch")
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probe_max = sysconfig.get_int(db, "shorts_probe_max_seconds")
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# 1) Anything enriched that can't be a Short -> finalize without a probe.
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db.execute(
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update(Video)
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.where(
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Video.shorts_probed.is_(False),
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Video.enriched_at.is_not(None),
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or_(
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Video.duration_seconds.is_(None),
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Video.duration_seconds > probe_max,
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Video.live_status != "none",
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),
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)
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.values(is_short=False, shorts_probed=True)
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)
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db.commit()
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# 2) Probe the remaining candidates.
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candidates = (
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db.execute(
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select(Video).where(
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Video.shorts_probed.is_(False),
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Video.enriched_at.is_not(None),
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Video.duration_seconds <= probe_max,
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Video.live_status == "none",
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).limit(limit)
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)
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.scalars()
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.all()
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)
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if not candidates:
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return {"probed": 0, "shorts": 0}
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probed = 0
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shorts = 0
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with make_client() as client:
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def work(video: Video):
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return video, probe_is_short(client, video.id)
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with ThreadPoolExecutor(max_workers=16) as pool:
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for video, result in pool.map(work, candidates):
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if result is None:
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continue # leave unprobed; retry on a later run
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video.is_short = result
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video.shorts_probed = True
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probed += 1
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if result:
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shorts += 1
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progress.report(probed, len(candidates), "probe")
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db.commit()
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return {"probed": probed, "shorts": shorts}
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