feat: implement recommendation API endpoints with personalized and general modes

src/api/recommendation_routes.py

@@ -82,38 +82,31 @@ async def get_recommendations(
     limit: int = Query(default=5, ge=1, le=20),
 ) -> Dict[str, Any]:
 
-    user_id = current_user.id  # ✅ correct for your system
+    user_id = current_user.id  # ✅ your model uses "id"
 
     if not user_id:
         raise HTTPException(status_code=401, detail="Invalid user")
 
     logger.info(f"🎯 Getting recommendations for user: {user_id}")
 
-    interaction_count = 0
-    is_personalized = False
-
     try:
-        interaction_count = await recommendation_service.get_user_interaction_count(
-            db=db,
-            user_id=user_id,
-        )
+        # ✅ Use notesCount directly from user
+        notes_count = getattr(current_user, "notesCount", 0) or 0
 
-        is_personalized = interaction_count >= MIN_INTERACTIONS_FOR_PERSONALIZATION
+        is_personalized = notes_count >= MIN_INTERACTIONS_FOR_PERSONALIZATION
 
         if is_personalized:
-            logger.info(
-                f"✅ Personalized mode for {user_id} ({interaction_count} interactions)"
-            )
+            logger.info(f"✅ Personalized mode for {user_id} ({notes_count} notes)")
+            
+            # ⚠️ for now you can still return general videos
+            # until you build real recommender
             recommendations = await recommendation_service.get_recommendations_for_user(
                 db=db,
                 user_id=user_id,
                 limit=limit,
             )
         else:
-            logger.info(
-                f"🌱 General mode for {user_id} "
-                f"({interaction_count}/{MIN_INTERACTIONS_FOR_PERSONALIZATION})"
-            )
+            logger.info(f"🌱 General mode for {user_id} ({notes_count}/{MIN_INTERACTIONS_FOR_PERSONALIZATION} notes)")
             recommendations = GENERAL_VIDEOS[:limit]
 
     except Exception as e:
@@ -126,7 +119,7 @@ async def get_recommendations(
     return {
         "status": "success",
         "is_personalized": is_personalized,
-        "interactions_count": interaction_count,
+        "interactions_count": notes_count,  # ✅ mapped correctly
         "interactions_needed": MIN_INTERACTIONS_FOR_PERSONALIZATION,
         "count": len(recommendations),
         "recommendations": recommendations,