# /opt/docker/dev/service_finder/backend/app/tests_internal/diagnostics/compare_schema.py import asyncio import sys from sqlalchemy.ext.asyncio import create_async_engine from sqlalchemy import inspect from app.database import Base from app.core.config import settings try: import app.models except ImportError as e: print(f"❌ KRITIKUS IMPORT HIBA: {e}") sys.exit(1) async def compare(): """ Diagnosztika minden sémára: identity, data, system. """ print(f"🔗 Kapcsolódás az adatbázishoz...") engine = create_async_engine(str(settings.SQLALCHEMY_DATABASE_URI)) def get_diff(connection): inspector = inspect(connection) # Ezeket a sémákat ellenőrizzük schemas = ["identity", "data", "system"] all_db_schemas = inspector.get_schema_names() mismatches = 0 for sc in schemas: if sc not in all_db_schemas: print(f"❌ HIBA: A(z) '{sc}' séma nem létezik!") continue db_tables = inspector.get_table_names(schema=sc) # Begyűjtjük a modelleket, amik ehhez a sémához tartoznak model_tables = [t.name for t in Base.metadata.sorted_tables if t.schema == sc] print(f"\n--- 🔍 DIAGNOSZTIKA: '{sc}' séma ({len(db_tables)} tábla a DB-ben) ---") for mt in model_tables: if mt not in db_tables: print(f"❌ HIÁNYZÓ TÁBLA: {sc}.{mt}") mismatches += 1 else: db_cols = {c['name']: c for c in inspector.get_columns(mt, schema=sc)} # Kikeressük a modellt a metadata-ból table_key = f"{sc}.{mt}" model_cols = Base.metadata.tables[table_key].columns missing_cols = [m.name for m in model_cols if m.name not in db_cols] if missing_cols: print(f"⚠️ {mt:25} | HIÁNYZÓ OSZLOPOK: {missing_cols}") mismatches += 1 else: print(f"✅ {mt:25} | Rendben.") return mismatches try: async with engine.connect() as conn: err_count = await conn.run_sync(get_diff) print(f"\n--- Összegzés: {err_count} eltérés található. ---\n") except Exception as e: print(f"❌ HIBA: {e}") finally: await engine.dispose() if __name__ == "__main__": asyncio.run(compare())