-- ADR-110 GCP-A Primary Embedding 升級：nomic-embed-text 768 → bge-m3 1024 維
-- 2026-05-04 ogt + Claude Sonnet 4.6
--
-- 背景：
--   GCP-A (34.143.170.20) 無 nomic-embed-text，改用 bge-m3:latest（專用 embedding 模型）
--   bge-m3 產生 1024 維向量，現有 schema vector(768) 不相容，INSERT 會直接失敗
--
-- 影響範圍：
--   1. knowledge_entries.embedding   vector(768) → vector(1024)
--   2. rag_chunks.embedding          vector(768) → vector(1024)
--   3. playbook_embeddings.embedding vector(768) → vector(1024)
--
-- 遷移策略：僅在欄位不是 vector(1024) 時清空現有向量資料，切換維度後由 re-embed script 重新嵌入
-- 已經是 vector(1024) 的環境重跑本 migration 時，必須保留既有向量資料。
-- 現有向量資料若要保留，需先 dump 用 nomic 格式備份（舊維度無法轉換）
--
-- 執行前置條件：
--   1. pgvector >= 0.5.0 (已滿足)
--   2. 確認現有向量資料是否需要備份（重要 playbook 建議先備份）
--   3. embedding service 已切換到 bge-m3（models.json v1.4.0）
--
-- 回滾方式：執行 embedding_rollback_768.sql（需重新嵌入至 nomic-embed-text 格式）

BEGIN;

-- 1. knowledge_entries：備份舊向量並清空，變更欄位維度
DO $$
DECLARE
    v_dim integer;
BEGIN
    SELECT a.atttypmod INTO v_dim
    FROM pg_attribute a
    JOIN pg_class c ON a.attrelid = c.oid
    WHERE c.relname = 'knowledge_entries'
      AND a.attname = 'embedding';

    IF v_dim IS DISTINCT FROM 1024 THEN
        EXECUTE $sql$
            CREATE TABLE IF NOT EXISTS knowledge_entries_embedding_backup_20260505 AS
            SELECT
                id,
                embedding::text AS embedding_768,
                NOW() AS backed_up_at
            FROM knowledge_entries
            WHERE embedding IS NOT NULL
        $sql$;

        EXECUTE $sql$
            ALTER TABLE knowledge_entries
                ALTER COLUMN embedding TYPE vector(1024)
                USING NULL
        $sql$;

        RAISE NOTICE 'knowledge_entries.embedding migrated from vector(%) to vector(1024); old embeddings were backed up and cleared', v_dim;
    ELSE
        RAISE NOTICE 'knowledge_entries.embedding already vector(1024); existing embeddings preserved';
    END IF;
END $$;

COMMENT ON COLUMN knowledge_entries.embedding IS
    'bge-m3:latest 1024 維向量 — 遷移自 nomic-embed-text 768 維 (2026-05-05 ADR-110 follow-up)';


-- 2. rag_chunks：清空向量資料，變更欄位維度
--    ivfflat index 必須先 DROP 才能 ALTER COLUMN
DO $$
DECLARE
    v_dim integer;
BEGIN
    SELECT a.atttypmod INTO v_dim
    FROM pg_attribute a
    JOIN pg_class c ON a.attrelid = c.oid
    WHERE c.relname = 'rag_chunks'
      AND a.attname = 'embedding';

    IF v_dim IS DISTINCT FROM 1024 THEN
        EXECUTE 'DROP INDEX IF EXISTS idx_rag_chunks_embedding';
        EXECUTE $sql$
            ALTER TABLE rag_chunks
                ALTER COLUMN embedding TYPE vector(1024)
                USING NULL
        $sql$;

        RAISE NOTICE 'rag_chunks.embedding migrated from vector(%) to vector(1024); old embeddings were cleared', v_dim;
    ELSE
        RAISE NOTICE 'rag_chunks.embedding already vector(1024); existing embeddings preserved';
    END IF;
END $$;

-- 重建 ivfflat index（lists=100 適合 ~10k 筆以下資料）
CREATE INDEX IF NOT EXISTS idx_rag_chunks_embedding
    ON rag_chunks
    USING ivfflat (embedding vector_cosine_ops)
    WITH (lists = 100);

COMMENT ON COLUMN rag_chunks.embedding IS
    'bge-m3:latest 1024 維向量 — 遷移自 nomic-embed-text 768 維 (2026-05-04 ADR-110)';


-- 3. playbook_embeddings：清空向量資料，變更欄位維度
DO $$
DECLARE
    v_dim integer;
BEGIN
    SELECT a.atttypmod INTO v_dim
    FROM pg_attribute a
    JOIN pg_class c ON a.attrelid = c.oid
    WHERE c.relname = 'playbook_embeddings'
      AND a.attname = 'embedding';

    IF v_dim IS DISTINCT FROM 1024 THEN
        EXECUTE 'DROP INDEX IF EXISTS ix_playbook_embeddings_vec';
        EXECUTE $sql$
            ALTER TABLE playbook_embeddings
                ALTER COLUMN embedding TYPE vector(1024)
                USING NULL
        $sql$;

        RAISE NOTICE 'playbook_embeddings.embedding migrated from vector(%) to vector(1024); old embeddings were cleared', v_dim;
    ELSE
        RAISE NOTICE 'playbook_embeddings.embedding already vector(1024); existing embeddings preserved';
    END IF;
END $$;

CREATE INDEX IF NOT EXISTS ix_playbook_embeddings_vec
    ON playbook_embeddings
    USING ivfflat (embedding vector_cosine_ops)
    WITH (lists = 100);

COMMENT ON COLUMN playbook_embeddings.embedding IS
    'bge-m3:latest 1024 維向量 — 遷移自 nomic-embed-text 768 維 (2026-05-04 ADR-110)';

COMMENT ON TABLE playbook_embeddings IS
    'Playbook 向量索引 — ADR-110 GCP-A bge-m3 1024 維 (2026-05-04)';


-- 3. 驗證遷移結果
DO $$
DECLARE
    v_km_dim integer;
    v_rag_dim integer;
    v_pb_dim integer;
BEGIN
    SELECT atttypmod INTO v_km_dim
    FROM pg_attribute
    JOIN pg_class ON attrelid = pg_class.oid
    WHERE relname = 'knowledge_entries' AND attname = 'embedding';

    SELECT atttypmod INTO v_rag_dim
    FROM pg_attribute
    JOIN pg_class ON attrelid = pg_class.oid
    WHERE relname = 'rag_chunks' AND attname = 'embedding';

    SELECT atttypmod INTO v_pb_dim
    FROM pg_attribute
    JOIN pg_class ON attrelid = pg_class.oid
    WHERE relname = 'playbook_embeddings' AND attname = 'embedding';

    -- pgvector atttypmod stores the configured dimension.
    IF v_km_dim != 1024 THEN
        RAISE EXCEPTION 'knowledge_entries.embedding 維度驗證失敗：expected 1024, got %', v_km_dim;
    END IF;
    IF v_rag_dim != 1024 THEN
        RAISE EXCEPTION 'rag_chunks.embedding 維度驗證失敗：expected 1024, got %', v_rag_dim;
    END IF;
    IF v_pb_dim != 1024 THEN
        RAISE EXCEPTION 'playbook_embeddings.embedding 維度驗證失敗：expected 1024, got %', v_pb_dim;
    END IF;

    RAISE NOTICE '✅ embedding 遷移驗證通過：knowledge_entries、rag_chunks、playbook_embeddings 均為 vector(1024)';
END $$;

COMMIT;