38 lines
1.8 KiB
Python
Executable File
38 lines
1.8 KiB
Python
Executable File
import asyncio
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import httpx
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from sqlalchemy import text
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from app.db.session import engine
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from datetime import datetime
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async def log_discovery(conn, category, brand, model, action):
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await conn.execute(text("""
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INSERT INTO data.bot_discovery_logs (category, brand_name, model_name, action_taken)
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VALUES (:c, :b, :m, :a)
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"""), {"c": category, "b": brand, "m": model, "a": action})
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async def run_discovery():
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async with engine.begin() as conn:
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print(f"🚀 Jármű felfedezés indul: {datetime.now()}")
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# Jelenleg a CAR kategóriára fókuszálunk egy külső API segítségével (pl. NHTSA - Ingyenes)
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# Itt egy példa, hogyan bővül dinamikusan a rendszer
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async with httpx.AsyncClient() as client:
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# Autók lekérése
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response = await client.get("https://vpic.nhtsa.dot.gov/api/vehicles/getallmakes?format=json")
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if response.status_code == 200:
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makes = response.json().get('Results', [])[:100] # Tesztként az első 100
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for make in makes:
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brand_name = make['Make_Name'].strip()
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# Megnézzük, megvan-e már
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res = await conn.execute(text("SELECT id FROM data.vehicle_brands WHERE name = :n"), {"n": brand_name})
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if not res.scalar():
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await conn.execute(text("INSERT INTO data.vehicle_brands (category_id, name) VALUES (1, :n)"), {"n": brand_name})
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await log_discovery(conn, "CAR", brand_name, "ALL", "NEW_BRAND")
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print(f"✨ Új márka találva: {brand_name}")
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await conn.commit()
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print("✅ Bot futása befejeződött.")
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if __name__ == "__main__":
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asyncio.run(run_discovery()) |