src/api/recommendation_routes.py

from fastapi import APIRouter, Depends, HTTPException, Query
from typing import Dict, Any
from src.auth.dependencies import get_current_user
from src.db.firebase import get_firebase_db
from src.recommendation.recommender import RecommendationService
from src.utils.logger import setup_logger

logger = setup_logger(__name__)
router = APIRouter(prefix="/recommendations", tags=["Recommendations"])
recommendation_service = RecommendationService()

GENERAL_VIDEOS = [
    {
        "videoId": "aircAruvnKk",
        "title": "But what is a neural network?",
        "channelTitle": "3Blue1Brown",
        "thumbnail": "https://img.youtube.com/vi/aircAruvnKk/hqdefault.jpg",
    },
    {
        "videoId": "rfscVS0vtbw",
        "title": "Learn Python in 4 hours",
        "channelTitle": "freeCodeCamp",
        "thumbnail": "https://img.youtube.com/vi/rfscVS0vtbw/hqdefault.jpg",
    },
    {
        "videoId": "8jLOx1hD3_o",
        "title": "Harvard CS50 2023",
        "channelTitle": "CS50",
        "thumbnail": "https://img.youtube.com/vi/8jLOx1hD3_o/hqdefault.jpg",
    },
    {
        "videoId": "kqtD5dpn9C8",
        "title": "Python for Beginners – Full Course",
        "channelTitle": "Programming with Mosh",
        "thumbnail": "https://img.youtube.com/vi/kqtD5dpn9C8/hqdefault.jpg",
    },
    {
        "videoId": "Ke90Tje7VS0",
        "title": "React JS Crash Course",
        "channelTitle": "Traversy Media",
        "thumbnail": "https://img.youtube.com/vi/Ke90Tje7VS0/hqdefault.jpg",
    },
    {
        "videoId": "bMknfKXIFA8",
        "title": "Machine Learning Course for Beginners",
        "channelTitle": "freeCodeCamp",
        "thumbnail": "https://img.youtube.com/vi/bMknfKXIFA8/hqdefault.jpg",
    },
    {
        "videoId": "ua-CiDNNj30",
        "title": "Fullstack Web Dev in 2024",
        "channelTitle": "Fireship",
        "thumbnail": "https://img.youtube.com/vi/ua-CiDNNj30/hqdefault.jpg",
    },
    {
        "videoId": "qiQR5rTSshw",
        "title": "C++ Tutorial for Beginners",
        "channelTitle": "freeCodeCamp",
        "thumbnail": "https://img.youtube.com/vi/qiQR5rTSshw/hqdefault.jpg",
    },
    {
        "videoId": "zOjov-2OZ0E",
        "title": "100+ Linux Things You Should Know",
        "channelTitle": "Fireship",
        "thumbnail": "https://img.youtube.com/vi/zOjov-2OZ0E/hqdefault.jpg",
    },
    {
        "videoId": "W6NZfCO5SIk",
        "title": "JavaScript Tutorial for Beginners",
        "channelTitle": "Programming with Mosh",
        "thumbnail": "https://img.youtube.com/vi/W6NZfCO5SIk/hqdefault.jpg",
    },
]

MIN_INTERACTIONS_FOR_PERSONALIZATION = 5


@router.get("")
async def get_recommendations(
    current_user=Depends(get_current_user),
    db=Depends(get_firebase_db),
    limit: int = Query(default=5, ge=1, le=20),
) -> Dict[str, Any]:

    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}")

    try:
        # ✅ Use notesCount directly from user
        notes_count = getattr(current_user, "notesCount", 0) or 0

        is_personalized = notes_count >= MIN_INTERACTIONS_FOR_PERSONALIZATION

        if is_personalized:
            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} ({notes_count}/{MIN_INTERACTIONS_FOR_PERSONALIZATION} notes)")
            recommendations = []

    except Exception as e:
        logger.error(f"❌ Failed to get recommendations for {user_id}: {e}")
        raise HTTPException(
            status_code=500,
            detail="Failed to fetch recommendations.",
        )

    return {
        "status": "success",
        "is_personalized": is_personalized,
        "interactions_count": notes_count,  # ✅ mapped correctly
        "interactions_needed": MIN_INTERACTIONS_FOR_PERSONALIZATION,
        "count": len(recommendations),
        "recommendations": recommendations,
    }