peter
e6b76e156a
The comfort shelf resolved each pinned channel with three queries (the row, its unwatched count, its newest video) and each playlist with two. channels_summary gets the count and the newest row per channel as window functions over one filtered set, playlists_summary reads every pinned list in one query, and the rows come in one IN() each — so the shelf's cost no longer grows with its length. A test counts the statements. RAIL_LIMIT had two definitions held in step by a comment; the Plex Discover route now imports the domain's. And rollup's "continue the latest-started episode" was false: it takes the last in-progress one in broadcast order, which is also what Home's next_episode picks.
114 lines
5.0 KiB
Python
114 lines
5.0 KiB
Python
"""Roll a show's episodes up into a single watch-state (new | in_progress | watched) + on-deck.
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Drives the show/season grid badges and the Resume / Play-from-start / mark-all buttons.
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"""
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from datetime import datetime, timezone
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from sqlalchemy import and_, case, func, or_, select
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from sqlalchemy.orm import Session, aliased
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from app.models import PlexItem, PlexState
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# Sort sentinel for a rail row whose timestamp is missing, so `key=lambda r: r[0] or NO_TS` reads the
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# same at every rail that merges two type-homogeneous lists in Python.
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#
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# It is NOT a crash fix, whatever the E24 commit that introduced it says. The `(ts is not None, ts)`
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# key it replaced cannot raise: tuple comparison finds the first UNEQUAL element via `==`, so two
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# `(False, None)` keys compare equal and `None < None` is never reached — verified by execution
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# during the E24 epic-end review, over every permutation of null/non-null rows. What the sentinel
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# buys is one idiom instead of two, and a key that says "missing sorts last" outright rather than
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# encoding it in a boolean flag. A BARE `r[0]` would genuinely raise, which is the mutation the
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# rails' tests do guard against.
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NO_TS = datetime.min.replace(tzinfo=timezone.utc)
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def show_status(total: int, watched: int, inprog: int) -> str:
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"""Roll a show's episodes up into a single watch state: fully watched, partially started, or new."""
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if total and watched >= total:
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return "watched"
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if (watched or 0) > 0 or (inprog or 0) > 0:
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return "in_progress"
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return "new"
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def rollup(cards: list[dict]) -> dict:
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"""From ORDERED episode cards → the aggregate watch status, the "on deck" episode to Resume (the
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last in-progress one, else the first unwatched), the first episode (for Play from the start), and
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the episode count. Drives the show/season Resume + Play + mark-all buttons."""
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total = len(cards)
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watched = sum(1 for c in cards if c.get("status") == "watched")
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inprog = [
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c for c in cards if (c.get("position_seconds") or 0) > 0 and c.get("status") != "watched"
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]
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resume = None
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if inprog:
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# The LAST in-progress episode in broadcast order — no timestamp is consulted. Home's
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# `discover.queries.next_episode` picks the same one, so both Resume buttons agree.
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resume = inprog[-1]
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else:
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resume = next((c for c in cards if c.get("status") != "watched"), None)
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return {
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"status": show_status(total, watched, len(inprog)),
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"resume": resume,
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"first": cards[0] if cards else None,
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"episode_count": total,
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}
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def agg_subquery(db: Session, user_id: int, include_resumed: bool = False):
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"""Per-show episode counts for a user: total, watched, in-progress. Reused to (a) filter the show
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grid by aggregate watch-state, (b) compute each card's badge, and (c) drive the Discover
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continue-watching rail, and (d) the browse "last watched" sort. `include_resumed` adds `resumed_at`
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= max(coalesce(progress_updated_at, watched_at)) across the show's episodes — i.e. how recently ANY
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episode was last touched (resumed OR marked watched) — so callers can order shows by recency. A
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fully-watched show (no resume progress) still gets a timestamp from its episodes' watched_at."""
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ps = aliased(PlexState)
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cols = [
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PlexItem.show_id.label("show_id"),
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func.count(PlexItem.id).label("total"),
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func.count(case((ps.status == "watched", 1))).label("watched"),
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func.count(
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case(
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(
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and_(
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ps.position_seconds > 0,
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or_(ps.status.is_(None), ps.status != "watched"),
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),
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1,
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)
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)
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).label("inprog"),
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]
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if include_resumed:
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cols.append(
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func.max(func.coalesce(ps.progress_updated_at, ps.watched_at)).label("resumed_at")
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)
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return (
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select(*cols)
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.outerjoin(ps, and_(ps.item_id == PlexItem.id, ps.user_id == user_id))
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.where(PlexItem.kind == "episode", PlexItem.show_id.isnot(None))
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.group_by(PlexItem.show_id)
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)
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def state_map(db: Session, user_id: int, show_ids: list[int]) -> dict[int, str]:
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if not show_ids:
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return {}
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rows = db.execute(agg_subquery(db, user_id).where(PlexItem.show_id.in_(show_ids))).all()
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return {r.show_id: show_status(r.total, r.watched, r.inprog) for r in rows}
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def item_state_map(db: Session, user_id: int, item_ids: list[int]) -> dict[int, PlexState]:
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"""A user's PlexState rows for a set of leaf items (movies or episodes), keyed by item_id — the
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leaf analogue of `state_map` (which rolls a show's episodes up to a status string). One batched
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fetch, so the caller serializes cards without a per-card query. Empty in → empty dict (no `IN ()`)."""
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if not item_ids:
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return {}
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return {
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s.item_id: s
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for s in db.execute(
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select(PlexState).where(PlexState.user_id == user_id, PlexState.item_id.in_(item_ids))
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).scalars()
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}
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