E5 S5: enriched Plex detail page (ratings + facts + keywords + crew)

Consumes the TMDB block the S2 engine already persists + serves (movie/show
detail's `tmdb`), turning the movie info page into a Seerr-style enriched detail
(page variant only — the player overlay stays lean):

- Multi-source ratings row: IMDb (links out) · TMDb (with vote count) · Plex
  audience — whichever are present. Only the primary score (IMDb, else audience)
  carries the ratingMin filter, mirroring the backend rating column.
- Facts panel: release · runtime · cert · budget · revenue · studios · countries.
- Keyword chips → tap to filter the library. Backend: a new `keywords` filter on
  LibraryFilters + meta_filter_conds (`keywords @> [kw]`, both models), wired
  through PlexFilters (appendPlexFilters / plexFilterCount / active-chip / clear).
- Full crew (TMDB key-crew) → tap a name to open their person page.

Tests: test_plex_keyword_filter.py (3) + PlexInfo.dom.test.tsx (5, incl. the
overlay-stays-lean guard). New i18n plex.info.facts.* / keywords / crew / audience
(en+hu). Gate: vitest 337, backend lane 396.
This commit is contained in:
2026-08-20 23:50:50 +02:00
parent f9b63745f9
commit f10915c223
8 changed files with 491 additions and 40 deletions
+4
View File
@@ -140,6 +140,8 @@ def meta_filter_conds(model, p: dict, lang: str = "en") -> list:
stds = split_csv(p.get("studios"))
if stds: # OR
conds.append(model.studio.in_(stds))
for kw in split_csv(p.get("keywords")): # AND — TMDB keyword chips from the detail page (E5 S5)
conds.append(model.keywords.contains([kw]))
if p.get("collection"):
conds.append(model.collection_keys.contains([p["collection"]]))
return conds
@@ -171,6 +173,7 @@ class LibraryFilters:
"any" # how multiple actors combine: any (OR, default) | all (AND)
)
studios: str | None = None
keywords: str | None = None # TMDB keyword chips (E5 S5), CSV; language-neutral
collection: str | None = None
def as_dict(self) -> dict:
@@ -188,6 +191,7 @@ class LibraryFilters:
"actors": self.actors,
"actor_mode": self.actor_mode,
"studios": self.studios,
"keywords": self.keywords,
"collection": self.collection,
}
+61
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@@ -0,0 +1,61 @@
"""E5 S5: the TMDB keyword filter. A keyword chip on the detail page sets ?keywords=<kw>, which
narrows the unified library to rows whose persisted `keywords` JSONB array contains it. DB lane
(`db` fixture) — skipped without Postgres.
"""
from fastapi.testclient import TestClient
import app.state as state
from app.auth import current_user
from app.db import get_db
from app.main import app
from app.models import PlexItem, PlexLibrary, User
def _seed(db):
lib = PlexLibrary(plex_key="1", title="Movies", kind="movie", enabled=True)
db.add(lib)
db.flush()
db.add_all([
PlexItem(rating_key="m1", library_id=lib.id, kind="movie", title="Heist Movie",
keywords=["heist", "bank robbery"]),
PlexItem(rating_key="m2", library_id=lib.id, kind="movie", title="Space Movie",
keywords=["space", "aliens"]),
PlexItem(rating_key="m3", library_id=lib.id, kind="movie", title="No Keywords Movie"),
])
user = User(email="kwfilter@example.com")
db.add(user)
db.commit()
return user
def _get(db, user, monkeypatch, path):
monkeypatch.setattr(state, "_configured_cache", True)
app.dependency_overrides[get_db] = lambda: db
app.dependency_overrides[current_user] = lambda: user
try:
return TestClient(app).get(path)
finally:
app.dependency_overrides.clear()
def _titles(resp):
return {i["title"] for i in resp.json()["items"]}
def test_keyword_filter_narrows_to_matching_rows(db, monkeypatch):
user = _seed(db)
resp = _get(db, user, monkeypatch, "/api/plex/library?scope=movie&keywords=heist")
assert resp.status_code == 200, resp.text
assert _titles(resp) == {"Heist Movie"}
def test_no_keyword_filter_returns_all(db, monkeypatch):
user = _seed(db)
resp = _get(db, user, monkeypatch, "/api/plex/library?scope=movie")
assert _titles(resp) == {"Heist Movie", "Space Movie", "No Keywords Movie"}
def test_unknown_keyword_matches_nothing(db, monkeypatch):
user = _seed(db)
resp = _get(db, user, monkeypatch, "/api/plex/library?scope=movie&keywords=nonesuch")
assert resp.json()["items"] == []