Add discovery modes, personalization controls, taste profile page, updated pricing

- Discovery modes: Sonic Twin, Era Bridge, Deep Cuts, Rising Artists
- Discovery dial (Safe to Adventurous slider)
- Block genres/moods exclusion
- Thumbs down/dislike on recommendations
- My Taste page with Genre DNA breakdown, audio feature meters, listening personality
- Updated pricing: Free (5/week), Premium ($6.99/mo), Family ($12.99/mo coming soon)
- Weekly rate limiting instead of daily
- Alembic migration for new fields

backend/app/api/endpoints/recommendations.py

@@ -22,15 +22,16 @@ async def generate(
         raise HTTPException(status_code=400, detail="Provide a playlist_id or query")
 
     recs, remaining = await generate_recommendations(
-        db, user, playlist_id=data.playlist_id, query=data.query, bandcamp_mode=data.bandcamp_mode
+        db, user, playlist_id=data.playlist_id, query=data.query, bandcamp_mode=data.bandcamp_mode,
+        mode=data.mode, adventurousness=data.adventurousness, exclude=data.exclude,
     )
 
     if not recs and remaining == 0:
-        raise HTTPException(status_code=429, detail="Daily recommendation limit reached. Upgrade to Pro for unlimited.")
+        raise HTTPException(status_code=429, detail="Weekly recommendation limit reached. Upgrade to Premium for unlimited.")
 
     return RecommendationResponse(
         recommendations=[RecommendationItem.model_validate(r) for r in recs],
-        remaining_today=remaining,
+        remaining_this_week=remaining,
     )
 
 
@@ -75,3 +76,19 @@ async def save_recommendation(
         raise HTTPException(status_code=404, detail="Recommendation not found")
     rec.saved = not rec.saved
     return {"saved": rec.saved}
+
+
+@router.post("/{rec_id}/dislike")
+async def dislike_recommendation(
+    rec_id: int,
+    user: User = Depends(get_current_user),
+    db: AsyncSession = Depends(get_db),
+):
+    result = await db.execute(
+        select(Recommendation).where(Recommendation.id == rec_id, Recommendation.user_id == user.id)
+    )
+    rec = result.scalar_one_or_none()
+    if not rec:
+        raise HTTPException(status_code=404, detail="Recommendation not found")
+    rec.disliked = not rec.disliked
+    return {"disliked": rec.disliked}