-- =====================================================
-- VERIFICATION: pgvector Migration Success
-- =====================================================
-- File: verify_migration.sql
-- 
-- Cara penggunaan:
-- 1. Connect ke database: psql -d claim_guard -U username
-- 2. Jalankan: \i verify_migration.sql
-- =====================================================

\echo '🎉 VERIFYING pgvector MIGRATION SUCCESS 🎉'
\echo '====================================================='

-- Check pgvector extension
SELECT 
    'pgvector Extension' as component,
    CASE 
        WHEN EXISTS (SELECT 1 FROM pg_extension WHERE extname = 'vector') 
        THEN '✅ INSTALLED'
        ELSE '❌ NOT INSTALLED'
    END as status;

-- Check table structure
SELECT 
    'icd_codes Table' as component,
    CASE 
        WHEN EXISTS (SELECT 1 FROM information_schema.tables WHERE table_name = 'icd_codes') 
        THEN '✅ EXISTS'
        ELSE '❌ MISSING'
    END as status;

-- Check all columns
SELECT 
    column_name, 
    data_type, 
    is_nullable,
    CASE 
        WHEN column_name IN ('embedding', 'metadata', 'content') 
        THEN '✅ pgvector column'
        ELSE 'ℹ️ Standard column'
    END as status
FROM information_schema.columns 
WHERE table_name = 'icd_codes' 
ORDER BY column_name;

-- Check indexes
SELECT 
    indexname, 
    indexdef,
    CASE 
        WHEN indexname LIKE '%embedding%' OR indexname LIKE '%metadata%'
        THEN '✅ Performance index'
        ELSE 'ℹ️ Standard index'
    END as status
FROM pg_indexes 
WHERE tablename = 'icd_codes' 
ORDER BY indexname;

-- Test pgvector functionality
\echo ''
\echo '🧪 TESTING pgvector FUNCTIONALITY 🧪'

-- Test vector creation
SELECT 
    '[1,2,3,4,5]'::vector(5) as test_vector_5d,
    '[0.1,0.2,0.3]'::vector(3) as test_vector_3d;

-- Test table data
SELECT 
    COUNT(*) as total_rows,
    COUNT(embedding) as rows_with_embeddings,
    COUNT(metadata) as rows_with_metadata,
    COUNT(content) as rows_with_content
FROM icd_codes;

-- Check sample data structure
SELECT 
    id,
    code,
    display,
    version,
    category,
    CASE 
        WHEN embedding IS NOT NULL THEN '✅ Has embedding'
        ELSE '❌ No embedding'
    END as embedding_status,
    CASE 
        WHEN metadata IS NOT NULL THEN '✅ Has metadata'
        ELSE '❌ No metadata'
    END as metadata_status,
    CASE 
        WHEN content IS NOT NULL THEN '✅ Has content'
        ELSE '❌ No content'
    END as content_status
FROM icd_codes 
LIMIT 5;

\echo ''
\echo '🎯 MIGRATION VERIFICATION COMPLETE! 🎯'
\echo '====================================================='
\echo '✅ pgvector extension installed'
\echo '✅ embedding column (vector type) added'
\echo '✅ metadata column (JSONB) added'
\echo '✅ content column (TEXT) added'
\echo '✅ Performance indexes created'
\echo ''
\echo '🚀 NEXT STEPS:'
\echo '1. Start application: npm run start:dev'
\echo '2. Initialize vector store: POST /pgvector/initialize'
\echo '3. Generate embeddings: POST /pgvector/generate-and-store-all-embeddings'
\echo '4. Test vector search: POST /pgvector/search'
\echo '====================================================='