49 lines
1.8 KiB
Python
Executable File
49 lines
1.8 KiB
Python
Executable File
# /opt/docker/dev/service_finder/backend/app/services/recon_bot.py
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import asyncio
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import logging
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from datetime import datetime, timezone
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select
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from app.models import Asset, AssetCatalog, AssetTelemetry
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logger = logging.getLogger(__name__)
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async def run_vehicle_recon(db: AsyncSession, asset_id: str):
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"""
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VIN alapján megkeresi a mélységi adatokat és frissíti a Digitális Ikert.
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"""
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stmt = select(Asset).where(Asset.id == asset_id)
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asset = (await db.execute(stmt)).scalar_one_or_none()
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if not asset or not asset.catalog_id:
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return False
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logger.info(f"🤖 Robot indul: {asset.vin} felderítése...")
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# --- LOGIKA MEGŐRIZVE: Szimulált mélységi adatgyűjtés ---
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await asyncio.sleep(2)
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deep_data = {
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"assembly_plant": "Fremont, California",
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"drive_unit": "Dual Motor - Raven type",
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"onboard_charger": "11 kW",
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"supercharging_max": "250 kW",
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"safety_rating": "5-star EuroNCAP",
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"recon_timestamp": datetime.now(timezone.utc).isoformat()
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}
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# 3. Katalógus frissítése (MDM elv)
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catalog = (await db.execute(select(AssetCatalog).where(AssetCatalog.id == asset.catalog_id))).scalar_one_or_none()
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if catalog:
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current_data = catalog.factory_data or {}
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current_data.update(deep_data)
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catalog.factory_data = current_data
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# 4. Telemetria frissítése (VQI score csökkentése a logika szerint)
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telemetry = (await db.execute(select(AssetTelemetry).where(AssetTelemetry.asset_id == asset.id))).scalar_one_or_none()
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if telemetry:
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telemetry.vqi_score = 99.2
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await db.commit()
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logger.info(f"✨ Robot végzett: {asset.license_plate or asset.vin} felokosítva.")
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return True |