"""Feed search + watch-state views (E2 S3), DB-lane. Regression nets for two query rewrites that must stay behaviour-equivalent: - PERF-12: the search channel-name branch moved from an ORed `unaccent(channels.title) ILIKE` (which defeated the search_vector GIN) to a pre-resolved `channel_id IN (...)`. A search must STILL return both videos whose text matches AND videos whose CHANNEL name matches. - PERF-16: the watched/hidden/in_progress views moved from an outer join + `coalesce(state.status,'new')` to an inner join on video_states + the raw column. Each view must return exactly the same set. """ from datetime import datetime, timezone import pytest from app.models import Channel, ChannelTag, Subscription, Tag, Video, VideoState def _dt(day: int) -> datetime: return datetime(2024, 1, day, tzinfo=timezone.utc) def _video(vid: str, ch: str, title: str) -> Video: return Video( id=vid, channel_id=ch, published_at=_dt(1), title=title, is_short=False, live_status="none", via_search=False, via_explore=False, ) def _feed_ids(client, query: str) -> set[str]: resp = client.get(f"/api/feed?{query}&limit=50") assert resp.status_code == 200, resp.text return {it["id"] for it in resp.json()["items"]} def test_search_matches_both_video_text_and_channel_name(db, as_user, make_user): # Two subscribed channels: one whose NAME matches the query (its video's text does not), and one # whose video TEXT matches (its name does not). The pre-resolved channel_id branch must still OR in # the name match, so both videos come back — and an unrelated video on a matching-name-less channel # stays out. user = make_user(email="search@example.com") db.add_all([ Channel(id="UCkube", title="Kubernetes Weekly", subscriber_count=10), Channel(id="UCother", title="Some Other Channel", subscriber_count=10), ]) db.add_all([ Subscription(user_id=user.id, channel_id="UCkube", priority=0, hidden=False), Subscription(user_id=user.id, channel_id="UCother", priority=0, hidden=False), ]) db.add_all([ _video("vidChan", "UCkube", "Totally unrelated content"), # channel NAME matches _video("vidText", "UCother", "kubernetes deep dive"), # video TEXT matches _video("vidNone", "UCother", "cooking pasta at home"), # neither matches ]) db.commit() ids = _feed_ids(as_user(user), "q=kubernetes&show=all") assert ids == {"vidChan", "vidText"} def test_watch_state_views_return_the_right_sets(db, as_user, make_user): user = make_user(email="views@example.com") db.add(Channel(id="UCv", title="Channel V", subscriber_count=10)) db.add(Subscription(user_id=user.id, channel_id="UCv", priority=0, hidden=False)) db.add_all([ _video("vWatch", "UCv", "watched one"), _video("vHide", "UCv", "hidden one"), _video("vProg", "UCv", "in progress one"), _video("vNew", "UCv", "brand new one"), ]) db.flush() db.add_all([ VideoState(user_id=user.id, video_id="vWatch", status="watched"), VideoState(user_id=user.id, video_id="vHide", status="hidden"), # in progress = a stored resume position while still "new" (not watched/hidden) VideoState(user_id=user.id, video_id="vProg", status="new", position_seconds=30), # vNew has NO state row -> "new"/unwatched ]) db.commit() client = as_user(user) assert _feed_ids(client, "show=watched") == {"vWatch"} assert _feed_ids(client, "show=hidden") == {"vHide"} assert _feed_ids(client, "show=in_progress") == {"vProg"} # unwatched excludes watched + hidden, keeps new AND in-progress assert _feed_ids(client, "show=unwatched") == {"vProg", "vNew"} # "all" shows everything except hidden assert _feed_ids(client, "show=all") == {"vWatch", "vProg", "vNew"} def _seed_tagged(db, make_user): """A user subscribed to 4 channels with a spread of language/topic/other tags and differing video counts, so the count sum and the per-category facet drill-down are all non-trivial.""" user = make_user(email="summary@example.com") tags = { "L1": Tag(user_id=None, name="Hungarian", category="language"), "L2": Tag(user_id=None, name="English", category="language"), "T1": Tag(user_id=None, name="Tech", category="topic"), "T2": Tag(user_id=None, name="Gaming", category="topic"), "O1": Tag(user_id=None, name="Favourite", category="other"), # A USER-owned tag (+ a user-owned ChannelTag link below) so the visibility branch # `ChannelTag.user_id == user.id` is exercised, not only the system `user_id IS NULL` one. "U1": Tag(user_id=user.id, name="MyPin", category="other"), } db.add_all(tags.values()) chans = {c: Channel(id=c, title=c, subscriber_count=10) for c in ("chA", "chB", "chC", "chD")} db.add_all(chans.values()) db.flush() # channel -> (system) tag keys links = {"chA": ["L1", "T1"], "chB": ["L1", "T2"], "chC": ["L2", "T1", "O1"], "chD": []} for cid, tkeys in links.items(): db.add(Subscription(user_id=user.id, channel_id=cid, priority=0, hidden=False)) for tk in tkeys: db.add(ChannelTag(channel_id=cid, tag_id=tags[tk].id, user_id=None)) # The user's own private link (visible only to them): chB carries U1 for this user. db.add(ChannelTag(channel_id="chB", tag_id=tags["U1"].id, user_id=user.id)) # differing video counts per channel (chA:3, chB:2, chC:1, chD:2) counts = {"chA": 3, "chB": 2, "chC": 1, "chD": 2} for cid, n in counts.items(): db.add_all([_video(f"{cid}v{i}", cid, f"{cid} clip {i}") for i in range(n)]) db.commit() return user, {k: v.id for k, v in tags.items()} # Query-param combos (as a template with {L1}/{T1}/… placeholders) that stress every facet path: # no tags, single-category, cross-category, disjunctive + conjunctive topic modes, and a search filter. _SUMMARY_CASES = [ "show=all", "show=all&tags={L1}", "show=all&tags={T1}", "show=all&tags={L1}&tags={T1}", "show=all&tags={T1}&tags={T2}&tag_mode=or", "show=all&tags={T1}&tags={T2}&tag_mode=and", "show=all&tags={U1}", # user-owned tag (visibility == user.id branch) "show=all&tags={U1}&tags={L1}", # user tag AND a system tag, cross-category "show=all&q=clip", "show=unwatched", ] @pytest.mark.parametrize("case", _SUMMARY_CASES) def test_feed_summary_matches_count_plus_facets(db, as_user, make_user, case): # /feed/summary must return byte-identical numbers to the old /feed/count + /facets it replaces, # across the full matrix of tag filters — it reimplements the tag drill-down in Python, so this is # the equivalence net. user, tag_ids = _seed_tagged(db, make_user) client = as_user(user) qs = case.format(**tag_ids) summary = client.get(f"/api/feed/summary?{qs}") count = client.get(f"/api/feed/count?{qs}") facets = client.get(f"/api/facets?{qs}") assert summary.status_code == count.status_code == facets.status_code == 200 assert summary.json()["count"] == count.json()["count"], qs assert summary.json()["facets"] == facets.json()["counts"], qs