Address the deep-review's deferred backend items so E5 is review-complete: - person-enrich OFF the request path (ABUSE finding): person_detail no longer makes the TMDB call inline (even bounded to 8s it sat on the serve thread, un-throttled, demo-reachable — it violated the module's "no live TMDB call at serve time" invariant). It now schedules a FastAPI BackgroundTask (people._enrich_person_bg, fresh session, best-effort) after the response; the first open serves the row as-is and the bio lands by the next open. The inline try/rollback recovery is gone with it. - reuse: a shared tmdb.resolve_library_guids owns the collision-safe guid→library bucketing (movie vs tv ids are independent sequences) that resolve_recs and people._resolve_known_for each hand-duplicated; a new rollup.item_state_map dedups the "PlexState-by-item_id" fetch across the person + discover paths. - test gaps: enrich_batch transient TmdbError leaves the watermark NULL to retry; guid_to_tmdb_id resolves a tvdb source + tv media_type via /find's tv_results; _continue_watching includes a NULL-status started movie and excludes a hidden one; /api/search/youtube returns 422 (not 5xx) when ingest fails (route-level, B-core-1). Backend lane 403 → 413, ruff clean. No migration; serve contracts unchanged.
177 lines
7.3 KiB
Python
177 lines
7.3 KiB
Python
"""E5 S6: person page TMDB bio enrichment. `parse_person` shapes the /person payload (bio + a
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popularity-ranked, deduped `known_for`); `enrich_person` lazily fetches + persists once (guarded on a
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key + a tmdb_person_id); and /person/{name} serves the bio + resolves `known_for` to library rows.
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DB lane for the endpoint/enrich tests; parse_person is pure. Skipped without Postgres where DB-backed.
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"""
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from fastapi.testclient import TestClient
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import app.state as state
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from app.auth import current_user
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from app.db import get_db
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from app.main import app
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from app.models import PlexItem, PlexLibrary, PlexPerson, User
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from app.plex import tmdb as plex_tmdb
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PAYLOAD = {
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"biography": " A celebrated actor. ",
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"birthday": "1970-01-01",
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"deathday": None,
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"place_of_birth": "Springfield",
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"known_for_department": "Acting",
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"also_known_as": ["AKA One", "AKA Two"],
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"combined_credits": {
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"cast": [
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{"id": 10, "media_type": "movie", "title": "Mid Movie", "popularity": 50},
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{"id": 20, "media_type": "tv", "name": "Top Show", "popularity": 80},
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{"id": 10, "media_type": "movie", "title": "dup", "popularity": 5}, # dup id
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{"id": 30, "media_type": "movie", "title": "Low Movie", "popularity": 1},
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{"id": None, "media_type": "movie", "title": "No id", "popularity": 99}, # dropped
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]
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},
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}
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def test_parse_person_shapes_bio_and_ranked_known_for():
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p = plex_tmdb.parse_person(PAYLOAD)
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assert p["biography"] == "A celebrated actor." # stripped
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assert p["birthday"] == "1970-01-01"
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assert p["known_for_department"] == "Acting"
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assert p["also_known_as"] == ["AKA One", "AKA Two"]
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# Popularity desc, deduped by id, None-id dropped: Top Show (80) → Mid Movie (50) → Low Movie (1).
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assert [k["tmdb_id"] for k in p["known_for"]] == [20, 10, 30]
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assert p["known_for"][0]["media_type"] == "tv"
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def test_parse_person_empty_payload():
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p = plex_tmdb.parse_person({})
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assert p["biography"] is None and p["known_for"] is None
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class _FakeTmdb:
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def __init__(self, payload):
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self.payload = payload
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def __enter__(self):
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return self
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def __exit__(self, *a):
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return False
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def fetch_person(self, pid):
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return self.payload
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def test_enrich_person_persists_and_stamps(db, monkeypatch):
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person = PlexPerson(name="Actor X", tmdb_person_id=555)
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db.add(person)
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db.commit()
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monkeypatch.setattr(plex_tmdb.sysconfig, "get_str", lambda d, k: "key" if k == "tmdb_api_key" else "")
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monkeypatch.setattr(plex_tmdb, "TmdbClient", lambda d, timeout=None: _FakeTmdb(PAYLOAD))
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assert plex_tmdb.enrich_person(db, person) is True
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assert person.biography == "A celebrated actor."
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assert person.tmdb_enriched_at is not None
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assert [k["tmdb_id"] for k in person.known_for] == [20, 10, 30]
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def test_enrich_person_noop_without_key(db, monkeypatch):
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person = PlexPerson(name="Actor Y", tmdb_person_id=555)
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db.add(person)
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db.commit()
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monkeypatch.setattr(plex_tmdb.sysconfig, "get_str", lambda d, k: "") # no key
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assert plex_tmdb.enrich_person(db, person) is False
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assert person.tmdb_enriched_at is None
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def test_enrich_person_noop_without_tmdb_id(db, monkeypatch):
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person = PlexPerson(name="Actor Z", tmdb_person_id=None)
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db.add(person)
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db.commit()
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monkeypatch.setattr(plex_tmdb.sysconfig, "get_str", lambda d, k: "key")
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assert plex_tmdb.enrich_person(db, person) is False
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def _get(db, user, monkeypatch, path):
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monkeypatch.setattr(state, "_configured_cache", True)
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app.dependency_overrides[get_db] = lambda: db
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app.dependency_overrides[current_user] = lambda: user
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try:
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return TestClient(app).get(path)
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finally:
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app.dependency_overrides.clear()
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def test_person_detail_schedules_enrich_off_request_path(db, monkeypatch):
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# The bio fetch runs OFF the request path (a background task after the response), so the serve never
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# makes a live TMDB call. An un-enriched person (tmdb_person_id set + tmdb_enriched_at None) schedules
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# the enrich and the page still renders immediately with whatever's in the row (bio still null).
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from app.routes.plex import people
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lib = PlexLibrary(plex_key="9", title="Movies", kind="movie", enabled=True)
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db.add(lib)
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db.flush()
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db.add(PlexPerson(name="Lazy P", tmdb_person_id=777))
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user = User(email="lazybg@example.com")
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db.add(user)
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db.commit()
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scheduled: list[int] = []
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monkeypatch.setattr(people, "_enrich_person_bg", lambda pid: scheduled.append(pid))
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resp = _get(db, user, monkeypatch, "/api/plex/person/Lazy P")
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assert resp.status_code == 200, resp.text
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assert resp.json()["biography"] is None # not enriched yet — the bio lands by the next open
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assert len(scheduled) == 1 # the enrich was scheduled off the request path
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def test_person_detail_no_enrich_when_already_enriched(db, monkeypatch):
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# An already-enriched person (tmdb_enriched_at set) must NOT schedule another background fetch.
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from datetime import datetime, timezone
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from app.routes.plex import people
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lib = PlexLibrary(plex_key="8", title="Movies", kind="movie", enabled=True)
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db.add(lib)
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db.flush()
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db.add(PlexPerson(name="Done P", tmdb_person_id=888,
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tmdb_enriched_at=datetime(2024, 1, 1, tzinfo=timezone.utc), biography="Bio."))
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user = User(email="donebg@example.com")
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db.add(user)
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db.commit()
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scheduled: list[int] = []
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monkeypatch.setattr(people, "_enrich_person_bg", lambda pid: scheduled.append(pid))
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resp = _get(db, user, monkeypatch, "/api/plex/person/Done P")
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assert resp.status_code == 200, resp.text
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assert resp.json()["biography"] == "Bio."
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assert scheduled == [] # already enriched → no background work
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def test_person_detail_serves_bio_and_resolves_known_for(db, monkeypatch):
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lib = PlexLibrary(plex_key="1", title="Movies", kind="movie", enabled=True)
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db.add(lib)
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db.flush()
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# A library movie that IS one of the person's known_for credits (matched by guid tmdb:100).
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db.add(PlexItem(rating_key="km", library_id=lib.id, kind="movie", title="Known Movie",
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guid="tmdb:100", cast_names=["Actor X"]))
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# Already-enriched person (tmdb_enriched_at set → no lazy fetch), with a known_for pool.
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from datetime import datetime, timezone
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db.add(PlexPerson(name="Actor X", tmdb_person_id=555,
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tmdb_enriched_at=datetime(2024, 1, 1, tzinfo=timezone.utc),
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biography="Bio here.", birthday="1970-01-01", known_for_department="Acting",
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also_known_as=["Alt Name"],
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known_for=[{"tmdb_id": 100, "media_type": "movie", "title": "Known Movie"},
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{"tmdb_id": 999, "media_type": "movie", "title": "Not In Library"}]))
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user = User(email="personbio@example.com")
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db.add(user)
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db.commit()
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resp = _get(db, user, monkeypatch, "/api/plex/person/Actor X")
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assert resp.status_code == 200, resp.text
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j = resp.json()
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assert j["biography"] == "Bio here."
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assert j["birthday"] == "1970-01-01"
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assert j["also_known_as"] == ["Alt Name"]
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# Only the in-library known_for credit resolves to a card; the out-of-library one is dropped.
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assert [c["title"] for c in j["known_for"]] == ["Known Movie"]
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