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-- Optional: a simple table to store rating events for analytics CREATE TABLE rating_events ( id BIGSERIAL PRIMARY KEY, user_id BIGINT, movie_id BIGINT, rating SMALLINT, -- -1 = dislike, 1 = like created_at TIMESTAMP DEFAULT now() );

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These can be A/B‑tested while the full backend catches up. -- Optional: a simple table to store rating

// 3️⃣ Pull top‑rated movies in those genres not already in watchlist const excludedIds = new Set(watchlist.map(e=>e.movie_id)); const candidates = await db.select('movies') .whereIn('genres', topGenres) // Postgres array containment .andWhereNotIn('id', [...excludedIds]) .orderBy('imdb_rating', 'desc') .limit(15); -- -1 = dislike