Files
claim-guard-be/verify_migration.sql
2025-08-22 19:34:54 +07:00

113 lines
3.1 KiB
SQL
Raw Permalink Blame History

This file contains invisible Unicode characters
This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
-- =====================================================
-- 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 ' 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 ' 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 '====================================================='