Initial commit: Robot ökoszisztéma v2.0 - Stabilizált jármű és szerviz robotok
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Kincses
173
backend/app/workers/service/service_robot_0_hunter.py
Executable file
173
backend/app/workers/service/service_robot_0_hunter.py
Executable file
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# /opt/docker/dev/service_finder/backend/app/workers/service_hunter.py
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import asyncio
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import httpx
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import logging
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import os
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import hashlib
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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, text, update
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from app.db.session import AsyncSessionLocal
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from app.models.staged_data import ServiceStaging, DiscoveryParameter
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# Naplózás beállítása a Sentinel monitorozáshoz
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logging.basicConfig(level=logging.INFO, format='%(asctime)s [%(levelname)s] %(name)s: %(message)s')
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logger = logging.getLogger("Robot-Continental-Scout-v1.3")
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class ServiceHunter:
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"""
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Robot v1.3.1: Continental Scout (Grid Search Edition)
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Felelőssége: Új szervizpontok felfedezése külső API-k alapján.
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"""
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PLACES_NEW_URL = "https://places.googleapis.com/v1/places:searchNearby"
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GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
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@classmethod
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def _generate_fingerprint(cls, name: str, city: str, address: str) -> str:
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"""
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MD5 Ujjlenyomat generálása.
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Ez biztosítja, hogy ha ugyanazt a helyet több rács-cellából is megtaláljuk,
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ne jöjjön létre duplikált rekord.
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"""
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raw = f"{str(name).lower()}|{str(city).lower()}|{str(address).lower()[:10]}"
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return hashlib.md5(raw.encode()).hexdigest()
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@classmethod
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async def _get_city_bounds(cls, city: str, country_code: str):
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""" Nominatim API hívás a város befoglaló téglalapjának lekéréséhez. """
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url = "https://nominatim.openstreetmap.org/search"
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params = {"city": city, "country": country_code, "format": "json"}
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headers = {"User-Agent": "ServiceFinder-Scout-v1.3/2.0 (contact@servicefinder.com)"}
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async with httpx.AsyncClient(headers=headers, timeout=10) as client:
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try:
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resp = await client.get(url, params=params)
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if resp.status_code == 200 and resp.json():
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bbox = resp.json()[0].get("boundingbox") # [min_lat, max_lat, min_lon, max_lon]
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return [float(x) for x in bbox]
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except Exception as e:
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logger.error(f"⚠️ Városhatár lekérdezési hiba ({city}): {e}")
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return None
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@classmethod
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async def get_google_places(cls, lat: float, lon: float):
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""" Google Places V1 (New) API hívás. """
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if not cls.GOOGLE_API_KEY:
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logger.error("❌ Google API Key hiányzik!")
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return []
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headers = {
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"Content-Type": "application/json",
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"X-Goog-Api-Key": cls.GOOGLE_API_KEY,
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"X-Goog-FieldMask": "places.displayName,places.id,places.internationalPhoneNumber,places.websiteUri,places.formattedAddress,places.location"
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}
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# MB 2.0 szűrők: Csak releváns típusok
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payload = {
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"includedTypes": ["car_repair", "motorcycle_repair", "car_wash", "tire_shop"],
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"maxResultCount": 20,
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"locationRestriction": {
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"circle": {
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"center": {"latitude": lat, "longitude": lon},
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"radius": 1200.0 # 1.2km sugarú körök a jó átfedéshez
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}
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}
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}
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async with httpx.AsyncClient(timeout=15) as client:
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try:
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resp = await client.post(cls.PLACES_NEW_URL, json=payload, headers=headers)
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if resp.status_code == 200:
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return resp.json().get("places", [])
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logger.warning(f"Google API hiba: {resp.status_code} - {resp.text}")
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except Exception as e:
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logger.error(f"Google API hívás hiba: {e}")
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return []
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@classmethod
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async def _save_to_staging(cls, db: AsyncSession, task, p_data: dict):
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""" Adatmentés a staging táblába deduplikációval. """
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name = p_data.get('displayName', {}).get('text')
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addr = p_data.get('formattedAddress', '')
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f_print = cls._generate_fingerprint(name, task.city, addr)
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# Ellenőrzés, hogy létezik-e már (Ujjlenyomat alapján)
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stmt = select(ServiceStaging).where(ServiceStaging.fingerprint == f_print)
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existing = (await db.execute(stmt)).scalar_one_or_none()
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if existing:
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# Csak a bizalmi pontot és az utolsó észlelést frissítjük
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existing.trust_score += 2
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existing.updated_at = datetime.now(timezone.utc)
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return
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# Új rekord létrehozása
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new_entry = ServiceStaging(
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name=name,
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source="google_scout_v1.3",
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external_id=p_data.get('id'),
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fingerprint=f_print,
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city=task.city,
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full_address=addr,
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contact_phone=p_data.get('internationalPhoneNumber'),
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website=p_data.get('websiteUri'),
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raw_data=p_data,
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status="pending",
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trust_score=30 # Alapértelmezett bizalmi szint
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)
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db.add(new_entry)
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@classmethod
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async def run_grid_search(cls, db: AsyncSession, task: DiscoveryParameter):
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""" A város koordináta-alapú bejárása. """
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bbox = await cls._get_city_bounds(task.city, task.country_code or 'HU')
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if not bbox:
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return
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# Lépésközök meghatározása (kb. 1km = 0.01 fok)
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lat_step = 0.012
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lon_step = 0.018
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curr_lat = bbox[0]
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while curr_lat < bbox[1]:
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curr_lon = bbox[2]
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while curr_lon < bbox[3]:
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logger.info(f"🛰️ Cella pásztázása: {curr_lat:.4f}, {curr_lon:.4f} ({task.city})")
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places = await cls.get_google_places(curr_lat, curr_lon)
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for p in places:
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await cls._save_to_staging(db, task, p)
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await db.commit() # Cellánként mentünk, hogy ne vesszen el a munka
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curr_lon += lon_step
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await asyncio.sleep(0.3) # Rate limit védelem
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curr_lat += lat_step
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@classmethod
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async def run(cls):
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""" A robot fő hurokfolyamata. """
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logger.info("🤖 Continental Scout ONLINE - Grid Engine Indul...")
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while True:
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async with AsyncSessionLocal() as db:
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try:
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# Aktív keresési feladatok lekérése
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stmt = select(DiscoveryParameter).where(DiscoveryParameter.is_active == True)
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tasks = (await db.execute(stmt)).scalars().all()
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for task in tasks:
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# Csak akkor futtatjuk, ha már régen volt (pl. 30 naponta)
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if not task.last_run_at or (datetime.now(timezone.utc) - task.last_run_at).days >= 30:
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logger.info(f"🔎 Felderítés indítása: {task.city}")
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await cls.run_grid_search(db, task)
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task.last_run_at = datetime.now(timezone.utc)
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await db.commit()
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except Exception as e:
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logger.error(f"💥 Kritikus hiba a Scout robotban: {e}")
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await db.rollback()
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# 6 óránként ellenőrizzük, van-e új feladat
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await asyncio.sleep(21600)
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if __name__ == "__main__":
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asyncio.run(ServiceHunter.run())
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