30 lines
1.2 KiB
Python
Executable File
30 lines
1.2 KiB
Python
Executable File
# /app/app/test_outside/rontgen_skript.py
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import asyncio
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import json
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from sqlalchemy import text
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from app.database import AsyncSessionLocal
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async def show_gold():
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async with AsyncSessionLocal() as db:
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res = await db.execute(text('SELECT make, model, power_kw, engine_capacity, fuel_type, factory_data FROM vehicle.vehicle_catalog ORDER BY id DESC LIMIT 10'))
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rows = res.fetchall()
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print('\n' + '🏆 AZ ARANY KATALÓGUS LEGÚJABB JÁRMŰVEI 🏆'.center(60))
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print('=' * 60)
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for r in rows:
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make, model, kw, ccm, fuel, json_data = r
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print(f'🚗 {make} {model}')
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print(f' ⚙️ Motor: {ccm or "?"} ccm | {kw or "?"} kW')
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print(f' ⛽ Üzemanyag: {fuel}')
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# Megnézzük, van-e az AI által talált extra adat (pl. motorkód vagy gumi méret)
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if json_data and isinstance(json_data, dict):
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engine_code = json_data.get('engine_code', 'Nincs adat')
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print(f' 🔍 Motorkód (AI/RDW): {engine_code}')
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print('-' * 60)
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if __name__ == "__main__":
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asyncio.run(show_gold())
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# docker exec -it sf_api python /app/app/test_outside/rontgen_skript.py |