Datasets:
Bappadala Rohith Kumar Naidu
feat: complete enterprise-grade dataset sync of RAG, offline bundles, and pipeline scripts
92cf271 | import asyncio | |
| import os | |
| from dotenv import load_dotenv | |
| import asyncpg | |
| load_dotenv() | |
| async def check(): | |
| url = os.environ['DATABASE_URL'].replace('postgresql+asyncpg://', 'postgresql://') | |
| conn = await asyncpg.connect(url) | |
| # Check tables | |
| tables = await conn.fetch( | |
| "SELECT tablename FROM pg_tables WHERE schemaname='public' ORDER BY tablename" | |
| ) | |
| print('Tables in Supabase:') | |
| for t in tables: | |
| print(' -', t['tablename']) | |
| # Check row counts | |
| for table in ['emergency_services', 'road_infrastructure', 'road_issues']: | |
| try: | |
| count = await conn.fetchval(f"SELECT COUNT(*) FROM {table}") | |
| print(f' {table}: {count} rows') | |
| except Exception as e: | |
| print(f' {table}: NOT FOUND - {e}') | |
| await conn.close() | |
| asyncio.run(check()) | |