feat(reco): radio + similar with metadata fallback (§6.5)

POST /radio + /radio/next (stateless infinite feed: seed track / from-likes,
exploration mix, client-passed exclude_ids) and GET /tracks|artists/{id}/similar,
replacing the stubs. Recommender port abstracts the (future) ML service —
NullRecommender is wired now so RecommendationService always uses its metadata
heuristics (genre/artist similarity, random exploration filler), never a hard ML
dependency. Adds TrackRepository.list_similar/sample_playable + Artist.list_similar,
reason codes for the client, RemoteRecommender skeleton (TODO: ML contract).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

app/application/recommendation_service.py

@@ -0,0 +1,187 @@
+"""Recommendation / radio service (plan §6.5).
+
+Tries the external ML recommender first; when it's unavailable or declines
+(returns ``None``), falls back to metadata heuristics over the catalogue — so
+similar/radio always work, worse, without ML (graceful-degradation invariant).
+
+``reason`` values are short codes (``ml`` / ``similar`` / ``from_likes`` /
+``discover``) the client localizes for the "why is this playing?" affordance.
+"""
+
+import random
+import uuid
+from dataclasses import dataclass
+
+from app.domain.entities.track import Artist, Track
+from app.domain.errors import NotFoundError
+from app.domain.ports import (
+    ArtistRepository,
+    LikeRepository,
+    Recommender,
+    TrackRepository,
+)
+
+REASON_ML = "ml"
+REASON_SIMILAR = "similar"
+REASON_FROM_LIKES = "from_likes"
+REASON_DISCOVER = "discover"
+
+_LIKED_SEED_POOL = 50
+
+
+@dataclass(frozen=True, slots=True)
+class RadioPick:
+    track: Track
+    reason: str
+
+
+class RecommendationService:
+    def __init__(
+        self,
+        *,
+        recommender: Recommender,
+        tracks: TrackRepository,
+        artists: ArtistRepository,
+        likes: LikeRepository,
+    ) -> None:
+        self._recommender = recommender
+        self._tracks = tracks
+        self._artists = artists
+        self._likes = likes
+
+    # -- similar ---------------------------------------------------------------
+
+    async def similar_tracks(
+        self, track_id: uuid.UUID, *, limit: int
+    ) -> tuple[str, list[Track]]:
+        seed = await self._tracks.get_by_id(track_id)
+        if seed is None:
+            raise NotFoundError(f"Track {track_id} not found.")
+
+        if self._recommender.is_available():
+            ids = await self._recommender.similar_track_ids(
+                track_id, limit=limit, exclude_ids=[track_id]
+            )
+            if ids is not None:
+                return REASON_ML, await self._hydrate_tracks(ids)
+
+        found = await self._tracks.list_similar(
+            genre=seed.genre,
+            artist_id=seed.artist_id,
+            exclude_ids=[track_id],
+            limit=limit,
+        )
+        return REASON_SIMILAR, found
+
+    async def similar_artists(
+        self, artist_id: uuid.UUID, *, limit: int
+    ) -> tuple[str, list[Artist]]:
+        if await self._artists.get_by_id(artist_id) is None:
+            raise NotFoundError(f"Artist {artist_id} not found.")
+
+        if self._recommender.is_available():
+            ids = await self._recommender.similar_artist_ids(artist_id, limit=limit)
+            if ids is not None:
+                found = [a for i in ids if (a := await self._artists.get_by_id(i))]
+                return REASON_ML, found
+
+        found = await self._artists.list_similar(artist_id=artist_id, limit=limit)
+        return REASON_SIMILAR, found
+
+    # -- radio -----------------------------------------------------------------
+
+    async def radio(
+        self,
+        *,
+        user_id: uuid.UUID,
+        seed_track_id: uuid.UUID | None,
+        from_likes: bool,
+        exploration: float,
+        limit: int,
+        exclude_ids: list[uuid.UUID],
+    ) -> tuple[str, list[RadioPick]]:
+        exploration = min(1.0, max(0.0, exploration))
+
+        if self._recommender.is_available():
+            ids = await self._recommender.radio_track_ids(
+                seed_track_id=seed_track_id,
+                exploration=exploration,
+                limit=limit,
+                exclude_ids=exclude_ids,
+            )
+            if ids is not None:
+                picks = [
+                    RadioPick(track=t, reason=REASON_ML)
+                    for t in await self._hydrate_tracks(ids)
+                ]
+                return REASON_ML, picks
+
+        return "metadata", await self._radio_fallback(
+            user_id=user_id,
+            seed_track_id=seed_track_id,
+            from_likes=from_likes,
+            exploration=exploration,
+            limit=limit,
+            exclude_ids=exclude_ids,
+        )
+
+    async def _radio_fallback(
+        self,
+        *,
+        user_id: uuid.UUID,
+        seed_track_id: uuid.UUID | None,
+        from_likes: bool,
+        exploration: float,
+        limit: int,
+        exclude_ids: list[uuid.UUID],
+    ) -> list[RadioPick]:
+        exclude = list(dict.fromkeys(exclude_ids))  # de-dupe, keep order
+        explore_n = round(limit * exploration)
+        similar_n = limit - explore_n
+        picks: list[RadioPick] = []
+
+        seed, seed_reason = await self._resolve_seed(
+            user_id, seed_track_id, from_likes
+        )
+        if seed is not None and similar_n > 0:
+            for track in await self._tracks.list_similar(
+                genre=seed.genre,
+                artist_id=seed.artist_id,
+                exclude_ids=exclude,
+                limit=similar_n,
+            ):
+                picks.append(RadioPick(track=track, reason=seed_reason))
+                exclude.append(track.id)
+
+        # Fill the remainder (exploration + any similarity shortfall) with random
+        # playable tracks — this is also the total fallback when there's no seed.
+        remaining = limit - len(picks)
+        if remaining > 0:
+            for track in await self._tracks.sample_playable(
+                exclude_ids=exclude, limit=remaining
+            ):
+                picks.append(RadioPick(track=track, reason=REASON_DISCOVER))
+                exclude.append(track.id)
+
+        random.shuffle(picks)
+        return picks
+
+    async def _resolve_seed(
+        self,
+        user_id: uuid.UUID,
+        seed_track_id: uuid.UUID | None,
+        from_likes: bool,
+    ) -> tuple[Track | None, str]:
+        if seed_track_id is not None:
+            return await self._tracks.get_by_id(seed_track_id), REASON_SIMILAR
+        if from_likes:
+            liked = await self._likes.list_liked_tracks(
+                user_id=user_id, limit=_LIKED_SEED_POOL, offset=0
+            )
+            if liked:
+                return random.choice(liked), REASON_FROM_LIKES
+        return None, REASON_DISCOVER
+
+    async def _hydrate_tracks(self, ids: list[uuid.UUID]) -> list[Track]:
+        """Resolve ids → tracks preserving order, skipping any that vanished."""
+        return [t for i in ids if (t := await self._tracks.get_by_id(i))]