-- 임베딩 모델 전환: 로컬 multilingual-e5-small (384차원)
-- mock/openai 도 384 로 통일한다 (openai 는 dimensions 파라미터로 축소 요청).
DO $$
BEGIN
  IF (SELECT format_type(atttypid, atttypmod) FROM pg_attribute
      WHERE attrelid = 'keyword'::regclass AND attname = 'embedding') <> 'vector(384)' THEN
    DROP INDEX IF EXISTS keyword_embedding_hnsw;
    ALTER TABLE keyword ALTER COLUMN embedding TYPE vector(384) USING NULL::vector(384);
    CREATE INDEX keyword_embedding_hnsw ON keyword USING hnsw (embedding vector_cosine_ops);
  END IF;

  IF (SELECT format_type(atttypid, atttypmod) FROM pg_attribute
      WHERE attrelid = 'qa_pair'::regclass AND attname = 'embedding') <> 'vector(384)' THEN
    ALTER TABLE qa_pair ALTER COLUMN embedding TYPE vector(384) USING NULL::vector(384);
  END IF;
END $$;

-- 데이터셋 출처 추적 (수작업 큐레이션 / LLM 생성 구분)
ALTER TABLE keyword ADD COLUMN IF NOT EXISTS source     text NOT NULL DEFAULT 'llm';
ALTER TABLE keyword ADD COLUMN IF NOT EXISTS kind       text NOT NULL DEFAULT 'keyword';
ALTER TABLE keyword ADD COLUMN IF NOT EXISTS category   text;
CREATE INDEX IF NOT EXISTS keyword_kind_idx ON keyword (kind, category);