Cleanup: MB 2.0 Gap Analysis előtti állapot (adatok kizárva)

.env

@@ -37,8 +37,15 @@ N8N_DB_PASSWORD=MiskociA74
 
 # --- ROBOTOK API KULCSAI ---
 RDW_APP_TOKEN=kSMUn0tvnmoM6TMSegLpFvKI8
-GEMINI_API_KEY=AIzaSyAaCVNPwf8PCphu_pt6spjAa2OVu8Exug8
+# GEMINI_API_KEY=AIzaSyAaCVNPwf8PCphu_pt6spjAa2OVu8Exug8
+DVLA_API_KEY=qUBQDigumYaFnc9Nt15Bx4Nc4k8W0L966s9iZAmK
 
 # --- RENDSZER ---
 PYTHONPATH=/app
 ENV=development
+
+# VS Code (code-server) beállítások
+VS_CODE_PASSWORD=MiskociA74
+PUID=1000
+PGID=1000
+TZ=Europe/Budapest

.gitignore

@@ -1,4 +1,21 @@
-n8n/db_data/
-N8N/db_data/
-*.pyc
+# Python cache
 __pycache__/
+*.pyc
+
+# Docker & Data (Master Book 2.0 izoláció)
+ollama_data/
+n8n/data/*.log
+n8n/data/*.json
+temp/
+
+# Logs
+logs/*.log
+
+# IDE & AI Config
+.continue/
+vscode_config/
+.env
+
+# Backup files
+*.bak
+*.old

backend/app/api/v1/api.py

@@ -1,5 +1,5 @@
 from fastapi import APIRouter
-from app.api.v1.endpoints import auth, catalog, assets, organizations, documents, services, admin
+from app.api.v1.endpoints import auth, catalog, assets, organizations, documents, services, admin, expenses, evidence
 
 api_router = APIRouter()
 
@@ -24,3 +24,9 @@ api_router.include_router(documents.router, prefix="/documents", tags=["Document
 # --- 🛡️ SENTINEL ADMIN KONTROLL PANEL ---
 # Ez a rész tette láthatóvá az Admin API-t a felületen
 api_router.include_router(admin.router, prefix="/admin", tags=["Admin Control Center (Sentinel)"])
+
+# Evidence & OCR Robot 3
+api_router.include_router(evidence.router, prefix="/evidence", tags=["Evidence & OCR (Robot 3)"])
+
+# Fleet Expenses TCO
+api_router.include_router(expenses.router, prefix="/expenses", tags=["Fleet Expenses (TCO)"])

backend/app/api/v1/endpoints/admin.py

@@ -1,115 +1,164 @@
 from fastapi import APIRouter, Depends, HTTPException, status
 from sqlalchemy.ext.asyncio import AsyncSession
-from sqlalchemy import select, func
-from typing import List, Any, Dict
+from sqlalchemy import select, func, text, delete
+from typing import List, Any, Dict, Optional
 from datetime import datetime, timedelta
 
 from app.api import deps
 from app.models.identity import User, UserRole
-from app.models import SystemParameter
+from app.models.system import SystemParameter
 from app.models.security import PendingAction, ActionStatus
 from app.models.history import AuditLog, LogSeverity
 from app.schemas.admin_security import PendingActionResponse, SecurityStatusResponse
 
 from app.services.security_service import security_service
-# Feltételezve, hogy a JSON-alapú TranslationService-ed már készen van
 from app.services.translation_service import TranslationService 
+from pydantic import BaseModel
+
+class ConfigUpdate(BaseModel):
+    key: str
+    value: Any
+    scope_level: str = "global"
+    scope_id: Optional[str] = None
+    category: str = "general"
 
 router = APIRouter()
 
 # --- 🛡️ ADMIN JOGOSULTSÁG ELLENŐRZŐ ---
 async def check_admin_access(current_user: User = Depends(deps.get_current_active_user)):
+    """Szigorú hozzáférés-ellenőrzés: Csak Admin vagy Superadmin."""
     if current_user.role not in [UserRole.admin, UserRole.superadmin]:
         raise HTTPException(
             status_code=status.HTTP_403_FORBIDDEN, 
-            detail="Admin jogosultság szükséges!"
+            detail="Sentinel jogosultság szükséges a művelethez!"
         )
     return current_user
 
-# --- 1. SENTINEL: NÉGY SZEM ELV (Approval System) ---
+# --- 🛰️ 1. SENTINEL: RENDSZERÁLLAPOT ÉS MONITORING ---
 
-@router.get("/pending-actions", response_model=List[PendingActionResponse])
+@router.get("/health-monitor", tags=["Sentinel Monitoring"])
+async def get_system_health(
+    db: AsyncSession = Depends(deps.get_db),
+    admin: User = Depends(check_admin_access)
+):
+    """
+    Rendszer pulzusának ellenőrzése (pgAdmin nélkül).
+    Látod a felhasználók eloszlását, az eszközök számát és a kritikus hibákat.
+    """
+    stats = {}
+    
+    # Adatbázis statisztikák (Dynamic counts)
+    user_stats = await db.execute(text("SELECT subscription_plan, count(*) FROM data.users GROUP BY subscription_plan"))
+    stats["user_distribution"] = {row[0]: row[1] for row in user_stats}
+    
+    asset_count = await db.execute(text("SELECT count(*) FROM data.assets"))
+    stats["total_assets"] = asset_count.scalar()
+    
+    org_count = await db.execute(text("SELECT count(*) FROM data.organizations"))
+    stats["total_organizations"] = org_count.scalar()
+
+    # Biztonsági státusz (Kritikus logok az elmúlt 24 órában)
+    day_ago = datetime.now() - timedelta(days=1)
+    crit_logs = await db.execute(select(func.count(AuditLog.id)).where(
+        AuditLog.severity.in_([LogSeverity.critical, LogSeverity.emergency]),
+        AuditLog.timestamp >= day_ago
+    ))
+    stats["critical_alerts_24h"] = crit_logs.scalar() or 0
+
+    return stats
+
+# --- ⚖️ 2. SENTINEL: NÉGY SZEM ELV (Approval System) ---
+
+@router.get("/pending-actions", response_model=List[PendingActionResponse], tags=["Sentinel Security"])
 async def list_pending_actions(
     db: AsyncSession = Depends(deps.get_db),
     admin: User = Depends(check_admin_access)
 ):
-    """Jóváhagyásra váró kritikus kérések listázása."""
+    """Jóváhagyásra váró kritikus kérések listázása (pl. törlések, rang-emelések)."""
     stmt = select(PendingAction).where(PendingAction.status == ActionStatus.pending)
     result = await db.execute(stmt)
     return result.scalars().all()
 
-@router.post("/approve/{action_id}")
+@router.post("/approve/{action_id}", tags=["Sentinel Security"])
 async def approve_action(
     action_id: int,
     db: AsyncSession = Depends(deps.get_db),
     admin: User = Depends(check_admin_access)
 ):
-    """Művelet véglegesítése (második admin által)."""
+    """Művelet véglegesítése. Csak egy második admin hagyhatja jóvá az első kérését."""
     try:
         await security_service.approve_action(db, admin.id, action_id)
-        return {"status": "success", "message": "Művelet végrehajtva."}
+        return {"status": "success", "message": "Művelet sikeresen végrehajtva."}
     except Exception as e:
         raise HTTPException(status_code=400, detail=str(e))
 
-# --- 2. SENTINEL: BIZTONSÁGI ÖSSZEGZÉS ---
+# --- ⚙️ 3. DINAMIKUS KONFIGURÁCIÓ (Hierarchical Config) ---
 
-@router.get("/security-status", response_model=SecurityStatusResponse)
-async def get_security_status(
+@router.get("/parameters", tags=["Dynamic Configuration"])
+async def list_all_parameters(
     db: AsyncSession = Depends(deps.get_db), 
     admin: User = Depends(check_admin_access)
 ):
-    """Rendszerállapot: Zárolt júzerek és kritikus események."""
-    day_ago = datetime.now() - timedelta(days=1)
-    
-    crit_count = (await db.execute(select(func.count(AuditLog.id)).where(
-        AuditLog.severity.in_([LogSeverity.critical, LogSeverity.emergency]),
-        AuditLog.timestamp >= day_ago
-    ))).scalar() or 0
-    
-    locked_count = (await db.execute(select(func.count(User.id)).where(
-        User.is_active == False, User.is_deleted == False
-    ))).scalar() or 0
-
-    return {
-        "total_pending": (await db.execute(select(func.count(PendingAction.id)).where(PendingAction.status == ActionStatus.pending))).scalar() or 0,
-        "critical_logs_last_24h": crit_count,
-        "emergency_locks_active": locked_count
-    }
-
-# --- 3. RENDSZERBEÁLLÍTÁSOK (Dynamic Config) ---
-
-@router.get("/settings")
-async def get_settings(db: AsyncSession = Depends(deps.get_db), admin: User = Depends(check_admin_access)):
-    """Minden globális paraméter (Gamification, Limitek stb.) lekérése."""
+    """Minden globális és lokális paraméter (Limitek, XP szorzók stb.) lekérése."""
     result = await db.execute(select(SystemParameter))
     return result.scalars().all()
 
-@router.put("/settings/{key}")
-async def update_setting(key: str, value: Any, db: AsyncSession = Depends(deps.get_db), admin: User = Depends(check_admin_access)):
-    """Paraméter módosítása és Audit Log generálása."""
-    stmt = select(SystemParameter).where(SystemParameter.key == key)
-    param = (await db.execute(stmt)).scalar_one_or_none()
-    if not param:
-        raise HTTPException(status_code=404, detail="Nincs ilyen beállítás.")
+@router.post("/parameters", tags=["Dynamic Configuration"])
+async def set_parameter(
+    config: ConfigUpdate, # <--- Most már egy objektumot várunk a Body-ban
+    db: AsyncSession = Depends(deps.get_db),
+    admin: User = Depends(check_admin_access)
+):
+    """
+    Paraméter beállítása. A Swaggerben most már látsz egy JSON ablakot a 'value' számára!
+    """
+    query = text("""
+        INSERT INTO data.system_parameters (key, value, scope_level, scope_id, category, last_modified_by)
+        VALUES (:key, :val, :sl, :sid, :cat, :user)
+        ON CONFLICT (key, scope_level, scope_id) 
+        DO UPDATE SET 
+            value = EXCLUDED.value, 
+            category = EXCLUDED.category,
+            last_modified_by = EXCLUDED.last_modified_by, 
+            updated_at = now()
+    """)
     
-    old_val = param.value
-    param.value = value
-    
-    await security_service.log_event(
-        db, admin.id, action="SETTING_CHANGE", severity=LogSeverity.warning,
-        old_data={key: old_val}, new_data={key: value}
-    )
+    await db.execute(query, {
+        "key": config.key, 
+        "val": config.value, # Itt bármilyen komplex JSON-t átadhatsz
+        "sl": config.scope_level, 
+        "sid": config.scope_id, 
+        "cat": config.category, 
+        "user": admin.email
+    })
     await db.commit()
-    return {"status": "success", "key": key, "new_value": value}
+    return {"status": "success", "message": f"'{config.key}' frissítve."}
 
-# --- 🌍 JSON FORDÍTÁSOK KEZELÉSE ---
+@router.delete("/parameters/{key}", tags=["Dynamic Configuration"])
+async def delete_parameter(
+    key: str, 
+    scope_level: str = "global", 
+    scope_id: Optional[str] = None,
+    db: AsyncSession = Depends(deps.get_db),
+    admin: User = Depends(check_admin_access)
+):
+    """Egy adott konfiguráció törlése (visszaállás az eggyel magasabb szintű alapértelmezésre)."""
+    stmt = delete(SystemParameter).where(
+        SystemParameter.key == key,
+        SystemParameter.scope_level == scope_level,
+        SystemParameter.scope_id == scope_id
+    )
+    await db.execute(stmt)
+    await db.commit()
+    return {"status": "success", "message": "Konfiguráció törölve."}
 
-@router.post("/translations/sync")
+# --- 🌍 4. UTILITY: FORDÍTÁSOK ---
+
+@router.post("/translations/sync", tags=["System Utilities"])
 async def sync_translations_to_json(
     db: AsyncSession = Depends(deps.get_db),
     admin: User = Depends(check_admin_access)
 ):
     """Szinkronizálja az adatbázisban tárolt fordításokat a JSON fájlokba."""
-    # A TranslationService-ben kell megírni a fájlbaíró logikát
     await TranslationService.export_to_json(db)
-    return {"message": "JSON nyelvi fájlok frissítve."}
+    return {"message": "JSON nyelvi fájlok frissítve a fájlrendszerben."}

backend/app/api/v1/endpoints/evidence.py

@@ -0,0 +1,66 @@
+# backend/app/api/v1/endpoints/evidence.py
+from fastapi import APIRouter, UploadFile, File, HTTPException, status, Depends
+from sqlalchemy.ext.asyncio import AsyncSession
+from sqlalchemy import text
+from app.api.deps import get_db, get_current_user
+from app.schemas.evidence import OcrResponse
+from app.services.image_processor import DocumentImageProcessor
+from app.services.ai_ocr_service import AiOcrService
+
+router = APIRouter()
+
+@router.post("/scan-registration", response_model=OcrResponse)
+async def scan_registration_document(
+    file: UploadFile = File(...),
+    db: AsyncSession = Depends(get_db),
+    current_user = Depends(get_current_user)
+):
+    """
+    Forgalmi engedély feldolgozása dinamikus, rendszer-szintű korlátok ellenőrzésével.
+    """
+    try:
+        # 1. 🔍 DINAMIKUS LIMIT LEKÉRDEZÉS (Hierarchikus system_parameters táblából)
+        limit_query = text("""
+            SELECT (value->>:plan)::int 
+            FROM data.system_parameters 
+            WHERE key = 'VEHICLE_LIMIT' 
+              AND scope_level = 'global' 
+              AND is_active = true
+        """)
+        limit_res = await db.execute(limit_query, {"plan": current_user.subscription_plan})
+        max_allowed = limit_res.scalar() or 1 # Ha nincs paraméter, 1-re korlátozunk a biztonság kedvéért
+
+        # 2. 📊 FELHASZNÁLÓI JÁRMŰSZÁM ELLENŐRZÉSE
+        count_query = text("SELECT count(*) FROM data.assets WHERE operator_person_id = :p_id")
+        current_count = (await db.execute(count_query, {"p_id": current_user.person_id})).scalar()
+        
+        if current_count >= max_allowed:
+            raise HTTPException(
+                status_code=status.HTTP_403_FORBIDDEN, 
+                detail=f"Csomaglimit túllépés. A jelenlegi '{current_user.subscription_plan}' csomagod max {max_allowed} járművet engedélyez."
+            )
+
+        # 3. 📸 KÉPFELDOLGOZÁS ÉS AI OCR
+        raw_bytes = await file.read()
+        clean_bytes = DocumentImageProcessor.process_for_ocr(raw_bytes)
+        
+        if not clean_bytes:
+            raise ValueError("A kép optimalizálása az OCR számára nem sikerült.")
+
+        extracted_data = await AiOcrService.extract_registration_data(clean_bytes)
+
+        return OcrResponse(
+            success=True,
+            message=f"Sikeres adatkivonás ({current_user.subscription_plan} csomag).",
+            data=extracted_data
+        )
+
+    except HTTPException as he:
+        # FastAPI hibák továbbdobása (pl. 403 Forbidden)
+        raise he
+    except Exception as e:
+        # Általános hiba kezelése korrekt indentálással
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail=f"Robot 3 feldolgozási hiba: {str(e)}"
+        )

backend/app/db/base.py

@@ -2,21 +2,33 @@
 from app.db.base_class import Base  # noqa
 
 # Közvetlen importok (HOZZÁADVA az audit és sales modellek)
-from app.models.address import Address, GeoPostalCode, GeoStreet, GeoStreetType, Branch # noqa
-from app.models.identity import User, Person, VerificationToken, Wallet # noqa
-from app.models.organization import Organization, OrganizationMember, OrganizationSalesAssignment # noqa
+from app.models.address import Address, GeoPostalCode, GeoStreet, GeoStreetType, Branch, Rating  # noqa
+
+from app.models.identity import Person, User, Wallet, VerificationToken, SocialAccount # noqa
+
+from app.models.organization import Organization, OrganizationMember, OrganizationFinancials, OrganizationSalesAssignment # noqa
+
+from app.models.service import ServiceProfile, ExpertiseTag, ServiceExpertise, ServiceStaging, DiscoveryParameter # noqa
+
+from app.models.vehicle_definitions import VehicleType, VehicleModelDefinition, FeatureDefinition  # noqa
+
 from app.models.audit import SecurityAuditLog, OperationalLog, FinancialLedger # noqa <--- KRITIKUS!
+
 from app.models.asset import (  # noqa
     Asset, AssetCatalog, AssetCost, AssetEvent, 
     AssetFinancials, AssetTelemetry, AssetReview, ExchangeRate
 )
-from app.models.gamification import (  # noqa
-    PointRule, LevelConfig, UserStats, Badge, UserBadge, Rating, PointsLedger
-)
+
+from app.models.gamification import PointRule, LevelConfig, UserStats, Badge, UserBadge, PointsLedger # noqa
+
 from app.models.system import SystemParameter  # noqa (system.py használata)
+
 from app.models.history import AuditLog, VehicleOwnership  # noqa
+
 from app.models.document import Document  # noqa
+
 from app.models.translation import Translation  # noqa
+
 from app.models.core_logic import (  # noqa
     SubscriptionTier, OrganizationSubscription, CreditTransaction, ServiceSpecialty 
 )

backend/app/db/session.py

@@ -3,11 +3,12 @@ from app.core.config import settings
 from typing import AsyncGenerator
 
 engine = create_async_engine(
-    settings.DATABASE_URL, # A te eredeti kulcsod
-    echo=getattr(settings, "DEBUG", False),
+    settings.DATABASE_URL,
+    echo=False, # Termelésben ne legyen True a log-áradat miatt
     future=True,
-    pool_size=20,
-    max_overflow=10
+    pool_size=30,       # Megemelve a Researcher 15-20 szála miatt
+    max_overflow=20,    # Extra rugalmasság csúcsidőben
+    pool_pre_ping=True  # Megakadályozza a "Server closed connection" hibákat
 )
 
 AsyncSessionLocal = async_sessionmaker(
@@ -16,7 +17,7 @@ AsyncSessionLocal = async_sessionmaker(
     expire_on_commit=False, 
     autoflush=False
 )
-# Ez a sor kell, mert a main.py és a többiek ezen a néven keresik
+
 SessionLocal = AsyncSessionLocal 
 
 async def get_db() -> AsyncGenerator[AsyncSession, None]:

backend/app/main.py

@@ -6,10 +6,12 @@ from starlette.middleware.sessions import SessionMiddleware # ÚJ
 from app.api.v1.api import api_router 
 from app.core.config import settings
 
+# Statikus mappák létrehozása induláskor
 os.makedirs("static/previews", exist_ok=True)
 
 app = FastAPI(
     title="Service Finder API",
+    description="Traffic Ecosystem, Asset Vault & AI Evidence Processing",
     version="2.0.0",
     openapi_url="/api/v1/openapi.json",
     docs_url="/docs"
@@ -21,6 +23,7 @@ app.add_middleware(
     secret_key=settings.SECRET_KEY
 )
 
+# --- CORS BEÁLLÍTÁSOK ---
 app.add_middleware(
     CORSMiddleware,
     allow_origins=[
@@ -34,13 +37,30 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
+# Statikus fájlok kiszolgálása (képek, letöltések)
 app.mount("/static", StaticFiles(directory="static"), name="static")
+
+# A V1-es API router bekötése a /api/v1 prefix alá
 app.include_router(api_router, prefix="/api/v1")
 
-@app.get("/")
+# --- ALAPVETŐ VÉGPONTOK ---
+@app.get("/", tags=["System"])
 async def root():
     return {
         "status": "online", 
         "message": "Service Finder Master System v2.0",
-        "features": ["Google Auth Enabled", "Asset Vault", "Org Onboarding"]
+        "features": [
+            "Google Auth Enabled", 
+            "Asset Vault", 
+            "Org Onboarding", 
+            "AI Evidence OCR (Robot 3)", 
+            "Fleet Expenses (TCO)"
+        ]
     }
+
+@app.get("/health", tags=["System"])
+async def health_check():
+    """
+    Monitoring és Load Balancer egészségügyi ellenőrző végpont.
+    """
+    return {"status": "ok", "message": "Service Finder API is running flawlessly."}

backend/app/models/__init__.py

@@ -3,10 +3,10 @@
 from app.db.base_class import Base
 
 # Identitás és Jogosultság
-from .identity import User, Person, Wallet, UserRole, VerificationToken, SocialAccount
+from .identity import Person, User, Wallet, VerificationToken, SocialAccount
 
 # Szervezeti struktúra (HOZZÁADVA: OrganizationSalesAssignment)
-from .organization import Organization, OrganizationMember, OrganizationSalesAssignment
+from .organization import Organization, OrganizationMember, OrganizationFinancials, OrganizationSalesAssignment
 
 # Járművek és Eszközök (Digital Twin)
 from .asset import (
@@ -15,13 +15,13 @@ from .asset import (
 )
 
 # Szerviz és Szakértelem
-from .service import ServiceProfile, ExpertiseTag, ServiceExpertise, ServiceStaging
+from .service import ServiceProfile, ExpertiseTag, ServiceExpertise, ServiceStaging, DiscoveryParameter
 
 # Földrajzi adatok és Címek
-from .address import Address, GeoPostalCode, GeoStreet, GeoStreetType, Branch 
+from .address import Address, GeoPostalCode, GeoStreet, GeoStreetType, Branch, Rating 
 
 # Gamification és Economy
-from .gamification import PointRule, LevelConfig, UserStats, Badge, UserBadge, Rating, PointsLedger
+from .gamification import PointRule, LevelConfig, UserStats, Badge, UserBadge, PointsLedger
 
 # Rendszerkonfiguráció (HASZNÁLJUK a frissített system.py-t!)
 from .system import SystemParameter 

backend/app/models/address.py

@@ -1,12 +1,11 @@
 import uuid
-# Hozzáadva: Boolean, text, func
-from sqlalchemy import Column, String, Integer, ForeignKey, Text, DateTime, Float, Boolean, text, func 
-# PostgreSQL specifikus típusok
+from sqlalchemy import Column, String, Integer, ForeignKey, Text, DateTime, Float, Boolean, text, func, Numeric, Index
 from sqlalchemy.dialects.postgresql import UUID as PG_UUID, JSONB 
-from sqlalchemy.orm import relationship
+from sqlalchemy.orm import relationship, foreign
 from app.db.base_class import Base
 
 class GeoPostalCode(Base):
+    """Irányítószám alapú földrajzi kereső tábla."""
     __tablename__ = "geo_postal_codes"
     __table_args__ = {"schema": "data"}
     id = Column(Integer, primary_key=True)
@@ -15,6 +14,7 @@ class GeoPostalCode(Base):
     city = Column(String(100), nullable=False)
 
 class GeoStreet(Base):
+    """Utcajegyzék tábla."""
     __tablename__ = "geo_streets"
     __table_args__ = {"schema": "data"}
     id = Column(Integer, primary_key=True)
@@ -22,6 +22,7 @@ class GeoStreet(Base):
     name = Column(String(200), nullable=False)
 
 class GeoStreetType(Base):
+    """Közterület jellege (utca, út, köz stb.)."""
     __tablename__ = "geo_street_types"
     __table_args__ = {"schema": "data"}
     id = Column(Integer, primary_key=True)
@@ -49,7 +50,6 @@ class Address(Base):
     
     created_at = Column(DateTime(timezone=True), server_default=func.now())
 
-# Add to /app/models/address.py
 class Branch(Base):
     """
     Telephely entitás. A fizikai helyszín, ahol a szolgáltatás vagy flotta-kezelés zajlik.
@@ -62,7 +62,7 @@ class Branch(Base):
     organization_id = Column(Integer, ForeignKey("data.organizations.id"), nullable=False)
     address_id = Column(PG_UUID(as_uuid=True), ForeignKey("data.addresses.id"), nullable=True)
     
-    name = Column(String(100), nullable=False) # pl. "Központi iroda", "Dunakeszi Szerviz"
+    name = Column(String(100), nullable=False)
     is_main = Column(Boolean, default=False)
     
     # Részletes címadatok (Denormalizált a gyors kereséshez)
@@ -74,9 +74,8 @@ class Branch(Base):
     stairwell = Column(String(20))
     floor = Column(String(20))
     door = Column(String(20))
-    hrsz = Column(String(50)) # Helyrajzi szám
+    hrsz = Column(String(50))
     
-    # Telephely specifikus adatok
     opening_hours = Column(JSONB, server_default=text("'{}'::jsonb"))
     branch_rating = Column(Float, default=0.0)
     
@@ -86,5 +85,34 @@ class Branch(Base):
 
     organization = relationship("Organization", back_populates="branches")
     address = relationship("Address")
-    # Kapcsolat a szerviz értékelésekkel
-    reviews = relationship("Rating", primaryjoin="and_(Branch.id==foreign(Rating.target_id), Rating.target_type=='branch')")
+    
+    # JAVÍTOTT KAPCSOLAT: target_branch_id használata target_id helyett
+    reviews = relationship(
+        "Rating", 
+        primaryjoin="and_(Branch.id==foreign(Rating.target_branch_id))"
+    )
+
+class Rating(Base):
+    """Univerzális értékelési rendszer - v1.3.1"""
+    __tablename__ = "ratings"
+    __table_args__ = (
+        Index('idx_rating_org', 'target_organization_id'),
+        Index('idx_rating_user', 'target_user_id'),
+        Index('idx_rating_branch', 'target_branch_id'),
+        {"schema": "data"}
+    )
+    # Az ID most már Integer, ahogy kérted a statisztikákhoz
+    id = Column(Integer, primary_key=True)
+    author_id = Column(Integer, ForeignKey("data.users.id"), nullable=False)
+    
+    # Explicit célpontok a típusbiztonság és gyorsaság érdekében
+    target_organization_id = Column(Integer, ForeignKey("data.organizations.id"), nullable=True)
+    target_user_id = Column(Integer, ForeignKey("data.users.id"), nullable=True)
+    target_branch_id = Column(PG_UUID(as_uuid=True), ForeignKey("data.branches.id"), nullable=True)
+    
+    score = Column(Numeric(3, 2), nullable=False) # 1.00 - 5.00
+    comment = Column(Text)
+    images = Column(JSONB, server_default=text("'[]'::jsonb"))
+    
+    is_verified = Column(Boolean, default=False)
+    created_at = Column(DateTime(timezone=True), server_default=func.now())

backend/app/models/asset.py

@@ -1,5 +1,5 @@
 import uuid
-from sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey, Numeric, text, Text, UniqueConstraint
+from sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey, Numeric, text, Text, UniqueConstraint, BigInteger
 from sqlalchemy.orm import relationship
 from sqlalchemy.dialects.postgresql import UUID as PG_UUID, JSONB
 from sqlalchemy.sql import func
@@ -16,7 +16,6 @@ class AssetCatalog(Base):
     )
 
     id = Column(Integer, primary_key=True, index=True)
-    # Kapcsolat az MDM-hez
     master_definition_id = Column(Integer, ForeignKey("data.vehicle_model_definitions.id"), nullable=True)
     
     make = Column(String, index=True, nullable=False)
@@ -27,18 +26,15 @@ class AssetCatalog(Base):
     year_to = Column(Integer)
     vehicle_class = Column(String) 
     fuel_type = Column(String, index=True)
-    # ÚJ MEZŐ: Kapcsolat az MDM-hez
-    
 
     master_definition = relationship("VehicleModelDefinition", back_populates="variants")
-    # --- ÚJ OSZLOPOK (Ezeket add hozzá!) ---
+    
     power_kw = Column(Integer, index=True)
     engine_capacity = Column(Integer, index=True)
     max_weight_kg = Column(Integer)
     axle_count = Column(Integer)
     euro_class = Column(String(20))
     body_type = Column(String(100))
-    # ---------------------------------------
 
     engine_code = Column(String)
     factory_data = Column(JSONB, server_default=text("'{}'::jsonb"))
@@ -56,18 +52,25 @@ class Asset(Base):
     current_organization_id = Column(Integer, ForeignKey("data.organizations.id"), nullable=True)
     catalog_id = Column(Integer, ForeignKey("data.vehicle_catalog.id"))
     
-    # Moderációs mezők a Robot 3 (OCR) számára
     is_verified = Column(Boolean, default=False)
-    verification_method = Column(String(20)) # 'manual', 'ocr', 'vin_api'
-    verification_notes = Column(Text, nullable=True) # Eltérések jegyzőkönyve
-    catalog_match_score = Column(Numeric(5, 2), nullable=True) # 0-100% egyezési arány
+    verification_method = Column(String(20)) 
+    verification_notes = Column(Text, nullable=True) 
+    catalog_match_score = Column(Numeric(5, 2), nullable=True) 
     
     status = Column(String(20), default="active")
     created_at = Column(DateTime(timezone=True), server_default=func.now())
     updated_at = Column(DateTime(timezone=True), onupdate=func.now())
 
+    # --- KAPCSOLATOK (A kettőzött current_org törölve, pontosítva) ---
     catalog = relationship("AssetCatalog", back_populates="assets")
-    current_org = relationship("Organization") 
+    
+    # 1. Jelenlegi szervezet (Üzemeltető telephely)
+    current_org = relationship(
+        "Organization", 
+        primaryjoin="Asset.current_organization_id == Organization.id",
+        foreign_keys="[Asset.current_organization_id]"
+    )
+    
     financials = relationship("AssetFinancials", back_populates="asset", uselist=False)
     telemetry = relationship("AssetTelemetry", back_populates="asset", uselist=False)
     assignments = relationship("AssetAssignment", back_populates="asset")
@@ -76,6 +79,43 @@ class Asset(Base):
     reviews = relationship("AssetReview", back_populates="asset")
     ownership_history = relationship("VehicleOwnership", back_populates="vehicle")
 
+    registration_uuid = Column(PG_UUID(as_uuid=True), default=uuid.uuid4, index=True, nullable=False)
+    is_corporate = Column(Boolean, default=False, server_default=text("false"))
+
+    # Tulajdonos és Üzembentartó oszlopok
+    owner_person_id = Column(BigInteger, ForeignKey("data.persons.id"), nullable=True)
+    owner_org_id = Column(Integer, ForeignKey("data.organizations.id"), nullable=True)
+    operator_person_id = Column(BigInteger, ForeignKey("data.persons.id"), nullable=True)
+    operator_org_id = Column(Integer, ForeignKey("data.organizations.id"), nullable=True)
+
+    # 2. Tulajdonos szervezet (Kapcsolat pótolva)
+    owner_org = relationship(
+        "Organization",
+        primaryjoin="Asset.owner_org_id == Organization.id",
+        foreign_keys="[Asset.owner_org_id]"
+    )
+
+    # 3. Üzembentartó szervezet
+    operator_org = relationship(
+        "Organization", 
+        primaryjoin="Asset.operator_org_id == Organization.id",
+        foreign_keys="[Asset.operator_org_id]"
+    )
+
+    # 4. Tulajdonos magánszemély
+    owner_person = relationship(
+        "Person", 
+        primaryjoin="Asset.owner_person_id == Person.id",
+        foreign_keys="[Asset.owner_person_id]"
+    )
+
+    # 5. Üzembentartó magánszemély
+    operator_person = relationship(
+        "Person", 
+        primaryjoin="Asset.operator_person_id == Person.id",
+        foreign_keys="[Asset.operator_person_id]"
+    )
+
 class AssetFinancials(Base):
     __tablename__ = "asset_financials"
     __table_args__ = {"schema": "data"}
@@ -117,17 +157,14 @@ class AssetAssignment(Base):
     id = Column(PG_UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
     asset_id = Column(PG_UUID(as_uuid=True), ForeignKey("data.assets.id"), nullable=False)
     organization_id = Column(Integer, ForeignKey("data.organizations.id"), nullable=False)
-    
-    # ÚJ: Telephelyi hozzárendelés
     branch_id = Column(PG_UUID(as_uuid=True), ForeignKey("data.branches.id"), nullable=True)
-    
     assigned_at = Column(DateTime(timezone=True), server_default=func.now())
     released_at = Column(DateTime(timezone=True), nullable=True)
     status = Column(String(30), default="active")
     
     asset = relationship("Asset", back_populates="assignments")
     organization = relationship("Organization")
-    branch = relationship("Branch") # Új kapcsolat
+    branch = relationship("Branch")
 
 class AssetEvent(Base):
     __tablename__ = "asset_events"
@@ -138,6 +175,7 @@ class AssetEvent(Base):
     recorded_mileage = Column(Integer)
     data = Column(JSONB, server_default=text("'{}'::jsonb"))
     asset = relationship("Asset", back_populates="events")
+    registration_uuid = Column(PG_UUID(as_uuid=True), index=True, nullable=True)
 
 class AssetCost(Base):
     __tablename__ = "asset_costs"
@@ -159,6 +197,7 @@ class AssetCost(Base):
     asset = relationship("Asset", back_populates="costs")
     organization = relationship("Organization")
     driver = relationship("User")
+    registration_uuid = Column(PG_UUID(as_uuid=True), index=True, nullable=True)
 
 class ExchangeRate(Base):
     __tablename__ = "exchange_rates"
@@ -169,23 +208,17 @@ class ExchangeRate(Base):
     rate = Column(Numeric(18, 6), nullable=False)
 
 class CatalogDiscovery(Base):
-    """
-    Discovery tábla: Ide gyűjtjük a piaci 'neveket' (pl. Citroen C3).
-    A Robot innen indulva keresi meg az összes létező technikai variánst.
-    """
     __tablename__ = "catalog_discovery"
-
     id = Column(Integer, primary_key=True, index=True)
     make = Column(String(100), nullable=False, index=True)
     model = Column(String(100), nullable=False, index=True)
-    vehicle_class = Column(String(50), index=True) # car, motorcycle, truck, stb.
-    source = Column(String(50)) # 'hasznaltauto', 'mobile.de'
+    vehicle_class = Column(String(50), index=True) 
+    source = Column(String(50)) 
     status = Column(String(20), server_default=text("'pending'"), index=True)
     attempts = Column(Integer, default=0)
     last_attempt = Column(DateTime(timezone=True))
     created_at = Column(DateTime(timezone=True), server_default=func.now())
 
-    # EGYESÍTETT __table_args__
     __table_args__ = (
         UniqueConstraint('make', 'model', 'vehicle_class', name='_make_model_class_uc'),
         {"schema": "data"}

backend/app/models/gamification.py

@@ -81,12 +81,3 @@ class UserBadge(Base):
     
     user: Mapped["User"] = relationship("User")
 
-class Rating(Base):
-    __tablename__ = "ratings"
-    __table_args__ = SCHEMA_ARGS
-    id: Mapped[uuid.UUID] = mapped_column(PG_UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
-    author_id: Mapped[int] = mapped_column(Integer, ForeignKey("data.users.id"))
-    target_type: Mapped[str] = mapped_column(String(20))
-    target_id: Mapped[uuid.UUID] = mapped_column(PG_UUID(as_uuid=True))
-    score: Mapped[int] = mapped_column(Integer)
-    comment: Mapped[Optional[str]] = mapped_column(String)

backend/app/models/organization.py

@@ -33,6 +33,9 @@ class Organization(Base):
     id = Column(Integer, primary_key=True, index=True)
     address_id = Column(PG_UUID(as_uuid=True), ForeignKey("data.addresses.id"), nullable=True)
 
+    is_anonymized = Column(Boolean, default=False, server_default=text("false"))
+    anonymized_at = Column(DateTime(timezone=True), nullable=True)
+    
     full_name = Column(String, nullable=False) # Hivatalos név
     name = Column(String, nullable=False)      # Rövid név
     display_name = Column(String(50))

backend/app/models/service.py

@@ -1,6 +1,6 @@
 import uuid
-from sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey, JSON, text, Text, Float
-from sqlalchemy.orm import relationship
+from sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey, JSON, text, Text, Float, Index, Numeric
+from sqlalchemy.orm import relationship, backref
 from sqlalchemy.dialects.postgresql import UUID as PG_UUID, JSONB
 from geoalchemy2 import Geometry # PostGIS támogatás
 from sqlalchemy.sql import func
@@ -8,45 +8,78 @@ from app.db.base_class import Base
 
 class ServiceProfile(Base):
     """
-    Szerviz szolgáltató kiterjesztett adatai.
+    Szerviz szolgáltató kiterjesztett adatai (v1.3.1).
     Egy Organization-höz (org_type='service') kapcsolódik.
+    Támogatja a hierarchiát (Franchise/Telephely) és az automatizált dúsítást.
     """
     __tablename__ = "service_profiles"
-    __table_args__ = {"schema": "data"}
+    __table_args__ = (
+        # Egyedi ujjlenyomat index a robot számára a duplikációk elkerülésére
+        Index('idx_service_fingerprint', 'fingerprint', unique=True),
+        {"schema": "data"}
+    )
 
     id = Column(Integer, primary_key=True, index=True)
+    
+    # --- KAPCSOLAT A CÉGES IKERHEZ (Twin) ---
     organization_id = Column(Integer, ForeignKey("data.organizations.id"), unique=True)
     
+    # --- HIERARCHIA (Fa struktúra) ---
+    # Ez tárolja a szülő egység ID-ját (pl. hálózat központja)
+    parent_id = Column(Integer, ForeignKey("data.service_profiles.id"), nullable=True)
+    
+    # --- ROBOT IDENTITÁS ---
+    # Normalize(Név + Város + Utca) hash, hogy ne legyen duplikáció
+    fingerprint = Column(String(255), nullable=False, index=True)
+
     # PostGIS GPS pont (SRID 4326 = WGS84 koordináták)
     location = Column(Geometry(geometry_type='POINT', srid=4326), index=True)
     
-    # Állapotkezelés: ghost, active, flagged, inactive
+    # Állapotkezelés: ghost (robot találta), active, flagged, inactive
     status = Column(String(20), server_default=text("'ghost'"), index=True)
-    last_audit_at = Column(DateTime(timezone=True), server_default=func.now())
+    last_audit_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
 
-    # --- MAGÁNNYOMOZÓ (Deep Enrichment) ADATOK ---
+    # --- GOOGLE ÉS KÜLSŐ ADATOK ---
     google_place_id = Column(String(100), unique=True)
     rating = Column(Float)
     user_ratings_total = Column(Integer)
     
-    # Bentley vs BMW logika: JSONB a gyors, márkaszintű szűréshez
-    # Példa: {"brands": ["Bentley", "Audi"], "specialty": ["engine", "tuning"]}
+    # --- MÉLYFÚRÁS (Deep Enrichment) ADATOK ---
+    # AI elemzés: {"tone": "barátságos", "pricing": "közép", "reliability": "magas"}
+    vibe_analysis = Column(JSONB, server_default=text("'{}'::jsonb"))
+    
+    # Közösségi háló: {"facebook": "url", "tiktok": "url", "insta": "url"}
+    social_links = Column(JSONB, server_default=text("'{}'::jsonb"))
+
+    # Speciális szűrő címkék: {"brands": ["Yamaha", "Suzuki"], "specialty": ["engine", "tuning"]}
     specialization_tags = Column(JSONB, server_default=text("'{}'::jsonb"))
 
     # Trust Engine (Bot Discovery=30, User Entry=50, Admin/Partner=100)
     trust_score = Column(Integer, default=30)
     is_verified = Column(Boolean, default=False)
-    verification_log = Column(JSON, server_default=text("'{}'::jsonb"))
+    verification_log = Column(JSONB, server_default=text("'{}'::jsonb"))
     
-    opening_hours = Column(JSON, server_default=text("'{}'::jsonb"))
+    # --- ELÉRHETŐSÉG ---
+    opening_hours = Column(JSONB, server_default=text("'{}'::jsonb"))
     contact_phone = Column(String)
+    contact_email = Column(String)
     website = Column(String)
     bio = Column(Text)
 
-    # Kapcsolatok
-    organization = relationship("Organization")
+    # --- KAPCSOLATOK ---
+    organization = relationship("Organization", back_populates="service_profile")
     expertises = relationship("ServiceExpertise", back_populates="service")
 
+    # --- ÖNMAGÁRA HIVATKOZÓ KAPCSOLAT (Hierarchia) ---
+    sub_services = relationship(
+        "ServiceProfile", 
+        backref=backref("parent_service", remote_side=[id]),
+        cascade="all, delete-orphan"
+    )
+
+    created_at = Column(DateTime(timezone=True), server_default=func.now())
+    updated_at = Column(DateTime(timezone=True), onupdate=func.now())
+
 class ExpertiseTag(Base):
     """Szakmai szempontok taxonómiája."""
     __tablename__ = "expertise_tags"
@@ -74,56 +107,57 @@ class ServiceExpertise(Base):
 class ServiceStaging(Base):
     """
     Átmeneti tábla a Hunter (n8n/scraping) adatoknak.
-    A címek itt már darabolva (IRSZ, Város, Utca, Házszám) szerepelnek 
-    a jobb kereshetőség és validálás érdekében.
     """
     __tablename__ = "service_staging"
-    __table_args__ = {"schema": "data"}
+    __table_args__ = (
+        Index('idx_staging_fingerprint', 'fingerprint', unique=True),
+        {"schema": "data"}
+    )
 
     id = Column(Integer, primary_key=True, index=True)
     
     # --- Alapadatok ---
     name = Column(String, nullable=False, index=True)
     
-    # --- Strukturált cím adatok (A kérésedre bontva) ---
+    # --- Strukturált cím adatok ---
     postal_code = Column(String(10), index=True)
     city = Column(String(100), index=True)
     street_name = Column(String(150))
-    street_type = Column(String(50))   # utca, út, tér...
+    street_type = Column(String(50)) 
     house_number = Column(String(20))
-    stairwell = Column(String(20))    # lépcsőház
-    floor = Column(String(20))        # emelet
-    door = Column(String(20))         # ajtó
-    hrsz = Column(String(50))         # helyrajzi szám
+    stairwell = Column(String(20))
+    floor = Column(String(20))
+    door = Column(String(20))
+    hrsz = Column(String(50))
     
-    full_address = Column(String)      # Eredeti string (audit célból)
-    # --- Elérhetőségek ---
+    full_address = Column(String)
     contact_phone = Column(String, nullable=True)
     email = Column(String, nullable=True)
     website = Column(String, nullable=True)
     
     # --- Forrás és Azonosítás ---
-    source = Column(String(50), nullable=True, index=True)       # Forrás: 'OSM', 'Facebook', stb.
-    external_id = Column(String(100), nullable=True, index=True) # Külső ID (pl. OSM node id)
+    source = Column(String(50), nullable=True, index=True) 
+    external_id = Column(String(100), nullable=True, index=True)
+    
+    # Robot ujjlenyomat a Staging szintű deduplikációhoz
+    fingerprint = Column(String(255), nullable=False)
     
     # --- Adatmentés ---
-    # Itt landol a teljes robot-zsákmány minden apró részlettel
     raw_data = Column(JSONB, server_default=text("'{}'::jsonb"))
     
     # --- Státusz és Bizalom ---
-    # status lehet: pending (feldolgozás alatt), enriched (nyomozó által bővített), 
-    # duplicate (már megvan), verified (élesítésre kész)
     status = Column(String(20), server_default=text("'pending'"), index=True)
     trust_score = Column(Integer, default=0)
     
     created_at = Column(DateTime(timezone=True), server_default=func.now())
 
 class DiscoveryParameter(Base):
+    """Robot vezérlési paraméterek."""
     __tablename__ = "discovery_parameters"
     __table_args__ = {"schema": "data"}
     id = Column(Integer, primary_key=True)
     city = Column(String(100), nullable=False)
-    keyword = Column(String(100), nullable=False) # pl. "autóvillamosság"
+    keyword = Column(String(100), nullable=False)
     country_code = Column(String(2), default="HU")
     is_active = Column(Boolean, default=True)
     last_run_at = Column(DateTime(timezone=True))

backend/app/models/system.py

@@ -1,17 +1,35 @@
-from sqlalchemy import Column, String, JSON, DateTime, Boolean
+# backend/app/models/system.py
+import enum
+from sqlalchemy import Column, String, DateTime, Boolean, text, UniqueConstraint, Integer
+from sqlalchemy.dialects.postgresql import JSONB # <-- JSONB-t használunk a stabilitásért
 from sqlalchemy.sql import func
 from app.db.base_class import Base
 
 class SystemParameter(Base):
+    """
+    Központi, dinamikus konfigurációs tábla. 
+    Támogatja a többlépcsős felülbírálást (Global -> Country -> Region -> Individual).
+    """
     __tablename__ = "system_parameters"
-    __table_args__ = {"schema": "data", "extend_existing": True}
+    __table_args__ = (
+        UniqueConstraint('key', 'scope_level', 'scope_id', name='uix_param_scope'),
+        {"schema": "data", "extend_existing": True}
+    )
 
-    key = Column(String, primary_key=True, index=True, nullable=False)
-    # Csoportosítás az Admin felületnek (pl. 'xp', 'scout', 'routing')
+    # Technikai ID, hogy a 'key' ne legyen Primary Key, így engedve a hierarchiát
+    id = Column(Integer, primary_key=True, autoincrement=True)
+
+    key = Column(String, index=True, nullable=False) # pl. 'VEHICLE_LIMIT'
     category = Column(String, index=True, server_default="general") 
-    value = Column(JSON, nullable=False)
+    
+    # A tényleges érték (JSONB-ben tárolva)
+    value = Column(JSONB, nullable=False) # pl. {"FREE": 1, "PREMIUM": 4}
+    
+    # --- 🛡️ HIERARCHIKUS SZINTEK ---
+    scope_level = Column(String(30), server_default=text("'global'"), index=True)
+    scope_id = Column(String(50), nullable=True) 
+    
     is_active = Column(Boolean, default=True)
     description = Column(String)
-    # Kötelező audit mező: ki módosította utoljára?
     last_modified_by = Column(String, nullable=True) 
     updated_at = Column(DateTime(timezone=True), onupdate=func.now(), server_default=func.now())

backend/app/models/system_settings.py

@@ -1,15 +0,0 @@
-from sqlalchemy import Column, String, JSON
-from app.db.base import Base
-
-class SystemSetting(Base):
-    """
-    Globális rendszerbeállítások tárolása.
-    Kulcs-Érték párok (JSON támogatással a komplex szabályokhoz).
-    Példa: key='FREE_VEHICLE_LIMIT', value='2'
-    """
-    __tablename__ = "system_settings"
-    __table_args__ = {"schema": "data"}
-
-    key = Column(String, primary_key=True, index=True)
-    value = Column(JSON, nullable=False)
-    description = Column(String, nullable=True)

backend/app/models/translation.py

@@ -1,16 +1,10 @@
-from sqlalchemy import Column, Integer, String, Text, Boolean, UniqueConstraint
-# JAVÍTÁS: Közvetlenül a base_class-ból importálunk, hogy elkerüljük a körkörös importot
+from sqlalchemy import Column, Integer, String, Text
 from app.db.base_class import Base
 
 class Translation(Base):
     __tablename__ = "translations"
-    __table_args__ = (
-        UniqueConstraint("key", "lang_code", name="uq_translation_key_lang"),
-        {"schema": "data"}
-    )
-
+    __table_args__ = {"schema": "data"}
     id = Column(Integer, primary_key=True, index=True)
-    key = Column(String(100), nullable=False, index=True)
-    lang_code = Column(String(5), nullable=False, index=True)
-    value = Column(Text, nullable=False)
-    is_published = Column(Boolean, default=False)
+    key = Column(String(255), index=True)
+    lang = Column(String(5), index=True) # pl: 'hu', 'en'
+    value = Column(Text)

backend/app/models/vehicle_definitions.py

@@ -1,6 +1,7 @@
-from sqlalchemy import Column, Integer, String, JSON, UniqueConstraint, text, Boolean, DateTime, ForeignKey, Numeric, Index
+from sqlalchemy import Column, Integer, String, JSON, UniqueConstraint, text, Boolean, DateTime, ForeignKey, Numeric, Index, Text
 from sqlalchemy.orm import relationship
 from sqlalchemy.sql import func
+from sqlalchemy.dialects.postgresql import JSONB
 from app.db.base_class import Base
 
 class VehicleType(Base):
@@ -9,8 +10,8 @@ class VehicleType(Base):
     __table_args__ = {"schema": "data"}
 
     id = Column(Integer, primary_key=True)
-    code = Column(String(30), unique=True, index=True) # car, motorcycle, truck, bus, boat, etc.
-    name = Column(String(50)) # Megjelenítendő név
+    code = Column(String(30), unique=True, index=True) 
+    name = Column(String(50)) 
     icon = Column(String(50))
     units = Column(JSON, server_default=text("'{\"power\": \"kW\", \"weight\": \"kg\", \"cargo\": \"m3\"}'::jsonb"))
 
@@ -24,24 +25,24 @@ class FeatureDefinition(Base):
 
     id = Column(Integer, primary_key=True)
     vehicle_type_id = Column(Integer, ForeignKey("data.vehicle_types.id"))
-    category = Column(String(50)) # Műszaki, Beltér, Kültér, Multimédia
+    category = Column(String(50)) 
     name = Column(String(100), nullable=False)
     data_type = Column(String(20), default="boolean")
 
     vehicle_type = relationship("VehicleType", back_populates="features")
 
 class ModelFeatureMap(Base):
-    """Modell-szintű felszereltségi sablon (Alap vs Extra)"""
+    """Modell-szintű felszereltségi sablon"""
     __tablename__ = "model_feature_maps"
     __table_args__ = {"schema": "data"}
 
     model_id = Column(Integer, ForeignKey("data.vehicle_model_definitions.id"), primary_key=True)
     feature_id = Column(Integer, ForeignKey("data.feature_definitions.id"), primary_key=True)
-    availability = Column(String(20), default="standard") # standard, optional, accessory
+    availability = Column(String(20), default="standard") 
     value = Column(String(100))
 
 class VehicleModelDefinition(Base):
-    """MDM Master rekordok - Kibővítve Deduplikációs és Évjárat mezőkkel (v1.2.5)"""
+    """MDM Master rekordok - v1.3.0 Pipeline Edition (Researcher & Alchemist)"""
     __tablename__ = "vehicle_model_definitions"
     __table_args__ = (
         UniqueConstraint('make', 'technical_code', 'vehicle_type', name='uix_make_tech_type'),
@@ -59,19 +60,24 @@ class VehicleModelDefinition(Base):
     vehicle_type_id = Column(Integer, ForeignKey("data.vehicle_types.id"))
     vehicle_class = Column(String(50))
     
-    # --- ÚJ MEZŐK AZ INTELLIGENS ÖSSZEFÉSÜLÉSHEZ ---
-    # Ha ez a rekord egy duplikátum, itt tároljuk, melyik az eredeti (Master) rekord
     parent_id = Column(Integer, ForeignKey("data.vehicle_model_definitions.id"), nullable=True)
-    
-    # Gyártási intervallum meghatározása
     year_from = Column(Integer, nullable=True, index=True)
     year_to = Column(Integer, nullable=True, index=True)
-    
-    # Alternatív elnevezések kereshetőséghez (pl. ["Tracer 9", "MT-09 Tracer"])
     synonyms = Column(JSON, server_default=text("'[]'::jsonb"))
-    # -----------------------------------------------
 
-    # --- LOGISZTIKAI ÉS TECHNIKAI FIX OSZLOPOK ---
+    # --- ROBOT VÉDELMI ÉS PIPELINE MEZŐK (v1.3.0) ---
+    is_manual = Column(Boolean, default=False, server_default=text("false"), index=True)
+    attempts = Column(Integer, default=0, server_default=text("0"), index=True)
+    last_error = Column(Text, nullable=True)
+
+    # Robot 2.1 "Researcher" porszívózott nyers adatai (A szemetesláda)
+    raw_search_context = Column(Text, nullable=True)
+    
+    # Telemetria és forrás adatok (JSONB a hatékonyabb kereséshez)
+    research_metadata = Column(JSONB, server_default=text("'{}'::jsonb"), nullable=False)
+    # --------------------------------------------------
+
+    # --- TECHNIKAI FIX OSZLOPOK ---
     engine_capacity = Column(Integer, index=True)
     power_kw = Column(Integer, index=True)
     max_weight_kg = Column(Integer, index=True)
@@ -82,12 +88,12 @@ class VehicleModelDefinition(Base):
     cargo_length_mm = Column(Integer)
     cargo_width_mm = Column(Integer)
     cargo_height_mm = Column(Integer)
-    # ----------------------------------------------
 
     specifications = Column(JSON, server_default=text("'{}'::jsonb"))
     features_json = Column(JSON, server_default=text("'{}'::jsonb"))
     
-    status = Column(String(20), server_default="unverified") # unverified, ai_enriched, duplicate, manual_check
+    # Státusz mező hossza 30-ra növelve az automatikus migrációhoz
+    status = Column(String(30), server_default="unverified", index=True) 
     is_master = Column(Boolean, default=False)
     source = Column(String(50)) 
     
@@ -96,9 +102,5 @@ class VehicleModelDefinition(Base):
 
     # Kapcsolatok
     v_type_rel = relationship("VehicleType", back_populates="definitions")
-    
-    # Önmagára hivatkozó kapcsolat a duplikációk kezeléséhez
     master_record = relationship("VehicleModelDefinition", remote_side=[id], backref="merged_variants")
-
-    # Meglévő kapcsolatok megtartása
-    variants = relationship("AssetCatalog", back_populates="master_definition")
+    variants = relationship("AssetCatalog", back_populates="master_definition", primaryjoin="VehicleModelDefinition.id == AssetCatalog.master_definition_id")

backend/app/models/vehicle_definitions1.0.0.py

@@ -0,0 +1,109 @@
+from sqlalchemy import Column, Integer, String, JSON, UniqueConstraint, text, Boolean, DateTime, ForeignKey, Numeric, Index, Text
+from sqlalchemy.orm import relationship
+from sqlalchemy.sql import func
+from sqlalchemy.dialects.postgresql import JSONB  # PostgreSQL specifikus JSONB a hatékony kereséshez
+from app.db.base_class import Base
+
+class VehicleType(Base):
+    """Jármű főtípusok sémája (Séma-gazda)"""
+    __tablename__ = "vehicle_types"
+    __table_args__ = {"schema": "data"}
+
+    id = Column(Integer, primary_key=True)
+    code = Column(String(30), unique=True, index=True) # car, motorcycle, truck, bus, boat, etc.
+    name = Column(String(50)) # Megjelenítendő név
+    icon = Column(String(50))
+    units = Column(JSON, server_default=text("'{\"power\": \"kW\", \"weight\": \"kg\", \"cargo\": \"m3\"}'::jsonb"))
+
+    features = relationship("FeatureDefinition", back_populates="vehicle_type")
+    definitions = relationship("VehicleModelDefinition", back_populates="v_type_rel")
+
+class FeatureDefinition(Base):
+    """Globális felszereltség szótár"""
+    __tablename__ = "feature_definitions"
+    __table_args__ = {"schema": "data"}
+
+    id = Column(Integer, primary_key=True)
+    vehicle_type_id = Column(Integer, ForeignKey("data.vehicle_types.id"))
+    category = Column(String(50)) # Műszaki, Beltér, Kültér, Multimédia
+    name = Column(String(100), nullable=False)
+    data_type = Column(String(20), default="boolean")
+
+    vehicle_type = relationship("VehicleType", back_populates="features")
+
+class ModelFeatureMap(Base):
+    """Modell-szintű felszereltségi sablon (Alap vs Extra)"""
+    __tablename__ = "model_feature_maps"
+    __table_args__ = {"schema": "data"}
+
+    model_id = Column(Integer, ForeignKey("data.vehicle_model_definitions.id"), primary_key=True)
+    feature_id = Column(Integer, ForeignKey("data.feature_definitions.id"), primary_key=True)
+    availability = Column(String(20), default="standard") # standard, optional, accessory
+    value = Column(String(100))
+
+class VehicleModelDefinition(Base):
+    """MDM Master rekordok - v1.3.0 Pipeline Edition (Researcher & Alchemist)"""
+    __tablename__ = "vehicle_model_definitions"
+    __table_args__ = (
+        UniqueConstraint('make', 'technical_code', 'vehicle_type', name='uix_make_tech_type'),
+        Index('idx_vmd_lookup', 'make', 'technical_code'),
+        {"schema": "data"}
+    )
+
+    id = Column(Integer, primary_key=True)
+    make = Column(String(50), nullable=False, index=True)
+    technical_code = Column(String(50), nullable=False, index=True)
+    marketing_name = Column(String(100), index=True)
+    family_name = Column(String(100))
+    
+    vehicle_type = Column(String(30), index=True) 
+    vehicle_type_id = Column(Integer, ForeignKey("data.vehicle_types.id"))
+    vehicle_class = Column(String(50))
+    
+    parent_id = Column(Integer, ForeignKey("data.vehicle_model_definitions.id"), nullable=True)
+    year_from = Column(Integer, nullable=True, index=True)
+    year_to = Column(Integer, nullable=True, index=True)
+    synonyms = Column(JSON, server_default=text("'[]'::jsonb"))
+
+    # --- ROBOT VÉDELMI ÉS PIPELINE MEZŐK (v1.3.0) ---
+    is_manual = Column(Boolean, default=False, server_default=text("false"), index=True)
+    attempts = Column(Integer, default=0, server_default=text("0"), index=True)
+    last_error = Column(Text, nullable=True)
+
+    # Robot 2.1 "Researcher" porszívózott nyers adatai (A szemetesláda)
+    raw_search_context = Column(Text, nullable=True)
+    
+    # Telemetria és forrás adatok (melyik API/URL hozta az adatot)
+    research_metadata = Column(JSONB, server_default=text("'{}'::jsonb"), nullable=False)
+    # --------------------------------------------------
+
+    # --- TECHNIKAI FIX OSZLOPOK ---
+    engine_capacity = Column(Integer, index=True)
+    power_kw = Column(Integer, index=True)
+    max_weight_kg = Column(Integer, index=True)
+    
+    axle_count = Column(Integer)
+    payload_capacity_kg = Column(Integer)
+    cargo_volume_m3 = Column(Numeric(10, 2))
+    cargo_length_mm = Column(Integer)
+    cargo_width_mm = Column(Integer)
+    cargo_height_mm = Column(Integer)
+
+    specifications = Column(JSON, server_default=text("'{}'::jsonb"))
+    features_json = Column(JSON, server_default=text("'{}'::jsonb"))
+    
+    # Státusz mező hossza növelve a pipeline flagekhez
+    status = Column(String(30), server_default="unverified", index=True) 
+    is_master = Column(Boolean, default=False)
+    source = Column(String(50)) # 'ROBOT-v1.3.0-Pipeline'
+    
+    created_at = Column(DateTime(timezone=True), server_default=func.now())
+    updated_at = Column(DateTime(timezone=True), onupdate=func.now())
+
+    # Kapcsolatok
+    v_type_rel = relationship("VehicleType", back_populates="definitions")
+    master_record = relationship("VehicleModelDefinition", remote_side=[id], backref="merged_variants")
+    
+    # AssetCatalog kapcsolat
+    # Megjegyzés: Ellenőrizd, hogy az AssetCatalog modell be van-e importálva a Base-be!
+    variants = relationship("AssetCatalog", back_populates="master_definition", primaryjoin="VehicleModelDefinition.id == AssetCatalog.master_definition_id")

backend/app/schemas/evidence.py

@@ -0,0 +1,47 @@
+# app/schemas/evidence.py
+from pydantic import BaseModel, Field
+from typing import Optional
+
+class RegistrationDocumentExtracted(BaseModel):
+    """A magyar forgalmi engedély teljes adattartalma."""
+    # A - Okmány adatok
+    license_plate: Optional[str] = Field(None, alias="A", description="Rendszám")
+    first_registration_date: Optional[str] = Field(None, alias="B", description="Első nyilvántartásba vétel")
+    doc_serial_number: Optional[str] = Field(None, description="Okmány sorszáma (jobb felső sarok)")
+
+    # C - Tulajdonos/Üzembentartó adatok
+    owner_last_name: Optional[str] = Field(None, alias="C.1.1", description="Családi név vagy cégnév")
+    owner_first_name: Optional[str] = Field(None, alias="C.1.2", description="Utónév")
+    owner_address: Optional[str] = Field(None, alias="C.1.3", description="Lakcím/Székhely")
+    owner_status: Optional[str] = Field(None, alias="C.4", description="Jogosultság státusza (a=tulaj, b=nem tulaj)")
+
+    # D - Jármű technikai adatai
+    make: Optional[str] = Field(None, alias="D.1", description="Gyártmány")
+    vehicle_type: Optional[str] = Field(None, alias="D.2", description="Típus")
+    commercial_description: Optional[str] = Field(None, alias="D.3", description="Kereskedelmi leírás")
+    vin: Optional[str] = Field(None, alias="E", description="Alvázszám (17 karakter)")
+    
+    # G, F - Tömeg adatok
+    weight_kg: Optional[int] = Field(None, alias="G", description="Saját tömeg")
+    max_weight_kg: Optional[int] = Field(None, alias="F.1", description="Együttes tömeg")
+    
+    # P, V - Motor és Környezetvédelem
+    engine_capacity: Optional[int] = Field(None, alias="P.1", description="Hengerűrtartalom (cm3)")
+    engine_power: Optional[float] = Field(None, alias="P.2", description="Teljesítmény (kW)")
+    fuel_type: Optional[str] = Field(None, alias="P.3", description="Hajtóanyag")
+    engine_code: Optional[str] = Field(None, alias="P.5", description="Motorkód")
+    env_category: Optional[str] = Field(None, alias="V.9", description="Környezetvédelmi osztály")
+    
+    # R, S, H - Egyéb
+    color: Optional[str] = Field(None, alias="R", description="Szín")
+    seats: Optional[int] = Field(None, alias="S.1", description="Ülések száma")
+    expiry_date: Optional[str] = Field(None, alias="H", description="Műszaki érvényesség")
+    transmission_type: Optional[str] = Field(None, description="Sebességváltó fajtája")
+
+    class Config:
+        populate_by_name = True
+
+class OcrResponse(BaseModel):
+    success: bool
+    message: str
+    data: Optional[RegistrationDocumentExtracted] = None

backend/app/schemas/service.py

@@ -1,20 +1,45 @@
-from pydantic import BaseModel
-from typing import Optional
+from pydantic import BaseModel, Field
+from typing import Optional, Dict, Any
 
 class ServiceCreateInternal(BaseModel):
-    name: str
-    postal_code: str
+    name: str = Field(..., description="A szolgáltató neve")
+    
+    # --- HIERARCHIA ---
+    # Ha a robot felismeri, hogy egy lánc része, itt tároljuk a szülő ID-t
+    parent_id: Optional[int] = Field(None, description="Szülő egység ID-ja (pl. Franchise központ)")
+    
+    # --- CÍM ADATOK ---
+    postal_code: Optional[str] = None
     city: str
-    street_name: str
-    street_type: str
-    house_number: str
+    street_name: Optional[str] = None
+    street_type: Optional[str] = "utca"
+    house_number: Optional[str] = None
     stairwell: Optional[str] = None
     floor: Optional[str] = None
     door: Optional[str] = None
     hrsz: Optional[str] = None
     
+    full_address: Optional[str] = Field(None, description="Eredeti, nyers cím szövege")
+    
+    # --- ELÉRHETŐSÉG ---
     contact_phone: Optional[str] = None
     email: Optional[str] = None
     website: Optional[str] = None
-    source: str
+    
+    # --- SOCIAL & AI ---
+    # A Deep Dive fázishoz előkészítve
+    social_links: Optional[Dict[str, str]] = Field(default_factory=dict)
+    vibe_analysis: Optional[Dict[str, Any]] = Field(default_factory=dict)
+    
+    # --- IDENTITÁS ÉS FORRÁS ---
+    source: str  # 'google', 'osm', 'manual', 'fb_scraper'
     external_id: Optional[str] = None
+    
+    # Ez a robot "horgonya" a duplikációk ellen
+    fingerprint: str = Field(..., description="Egyedi ujjlenyomat: Hash(Name+City+Street)")
+    
+    trust_score: int = Field(30, ge=0, le=100)
+    raw_data: Optional[Dict[str, Any]] = {}
+
+    class Config:
+        from_attributes = True

backend/app/services/ai_ocr_service.py

@@ -0,0 +1,64 @@
+# app/services/ai_ocr_service.py
+import json
+import httpx
+import base64
+from app.schemas.evidence import RegistrationDocumentExtracted
+
+class AiOcrService:
+    OLLAMA_URL = "http://service_finder_ollama:11434/api/generate" 
+    MODEL_NAME = "llama3.2-vision"
+
+    @classmethod
+    async def extract_registration_data(cls, clean_image_bytes: bytes) -> RegistrationDocumentExtracted:
+        base64_image = base64.b64encode(clean_image_bytes).decode('utf-8')
+
+        prompt = """
+        Te egy magyar hatósági okmány-szakértő AI vagy. A feladatod a mellékelt magyar forgalmi engedély (kép) összes adatának kinyerése.
+        
+        Keresd meg és olvasd le az adatokat az alábbi hatósági kódok alapján:
+        - A: Rendszám (kötőjellel, pl: ABC-123 vagy AA-BB-123)
+        - B: Első nyilvántartásba vétel dátuma (YYYY.MM.DD)
+        - C.1.1: Családi név vagy cégnév
+        - C.1.2: Utónév
+        - C.1.3: Teljes lakcím (Irsz, Város, Utca, Házszám)
+        - C.4: Jogosultság (a = tulajdonos, b = üzembentartó)
+        - D.1: Gyártmány (pl. TOYOTA, VOLKSWAGEN)
+        - D.2: Jármű típusa
+        - D.3: Kereskedelmi leírás (pl. COROLLA, GOLF)
+        - E: Alvázszám (pontosan 17 karakter)
+        - G: Saját tömeg (kg)
+        - F.1: Együttes tömeg (kg)
+        - P.1: Hengerűrtartalom (cm3)
+        - P.2: Teljesítmény (kW)
+        - P.3: Hajtóanyag (pl. Benzin, Gázolaj, Elektromos)
+        - P.5: Motorkód
+        - V.9: Környezetvédelmi osztály kódja
+        - R: Szín
+        - S.1: Ülések száma
+        - H: Műszaki érvényesség vége (YYYY.MM.DD)
+        - Sebességváltó: Keresd a 0, 1, 2, 3 kódokat (0=mechanikus, 2=automata).
+
+        VÁLASZ FORMÁTUMA: Kizárólag érvényes JSON. Ha egy adat nem olvasható, az értéke null legyen.
+        """
+
+        payload = {
+            "model": cls.MODEL_NAME,
+            "prompt": prompt,
+            "images": [base64_image],
+            "stream": False,
+            "format": "json"
+        }
+
+        async with httpx.AsyncClient(timeout=90.0) as client:
+            try:
+                response = await client.post(cls.OLLAMA_URL, json=payload)
+                response.raise_for_status()
+                
+                ai_response_text = response.json().get("response", "{}")
+                data_dict = json.loads(ai_response_text)
+                
+                return RegistrationDocumentExtracted(**data_dict)
+
+            except Exception as e:
+                print(f"Robot 3 AI Hiba: {e}")
+                raise ValueError(f"AI hiba az adatkivonás során: {str(e)}")

backend/app/services/ai_service.py

@@ -3,24 +3,20 @@ import json
 import logging
 import asyncio
 import re
-from typing import Dict, Any, Optional
-from google import genai
-from google.genai import types
+import base64
+import httpx
+from typing import Dict, Any, Optional, List
 from sqlalchemy import select
 from app.db.session import SessionLocal
-from app.models import SystemParameter
+from app.models.system import SystemParameter
 
 logger = logging.getLogger("AI-Service")
 
 class AIService:
-    """
-    AI Service v1.2.5 - Final Integrated Edition
-    - Robot 2: Technikai dúsítás (Search + Regex JSON parsing)
-    - Robot 3: OCR (Controlled JSON generation)
-    """
-    api_key = os.getenv("GEMINI_API_KEY")
-    client = genai.Client(api_key=api_key) if api_key else None
-    PRIMARY_MODEL = "gemini-2.0-flash"
+    OLLAMA_BASE_URL = "http://ollama:11434/api/generate"
+    TEXT_MODEL = "qwen2.5-coder:32b" 
+    VISION_MODEL = "llava:7b"
+    DVLA_API_KEY = os.getenv("DVLA_API_KEY")
 
     @classmethod
     async def get_config_delay(cls) -> float:
@@ -29,83 +25,71 @@ class AIService:
                 stmt = select(SystemParameter).where(SystemParameter.key == "AI_REQUEST_DELAY")
                 res = await db.execute(stmt)
                 param = res.scalar_one_or_none()
-                return float(param.value) if param else 1.0
-        except Exception: return 1.0
+                return float(param.value) if param else 0.1
+        except Exception: 
+            return 0.1
 
     @classmethod
-    async def get_clean_vehicle_data(cls, make: str, raw_model: str, v_type: str) -> Optional[Dict[str, Any]]:
-        """Robot 2: Adatbányászat Google Search segítségével."""
-        if not cls.client: return None
+    async def get_gold_data_from_research(cls, make: str, model: str, raw_context: str) -> Optional[Dict[str, Any]]:
         await asyncio.sleep(await cls.get_config_delay())
-
-        search_tool = types.Tool(google_search=types.GoogleSearch())
-
         prompt = f"""
-        KERESS RÁ az interneten: {make} {raw_model} ({v_type}) pontos gyári modellkódja és technikai adatai.
-        Adj választ szigorúan csak egy JSON blokkban:
+        FELADAT: A mellékelt kutatási adatokból állíts össze egy hiteles technikai adatlapot.
+        JÁRMŰ: {make} {model}
+        KUTATÁSI ADATOK (Szemetesláda tartalom):
+        {raw_context}
+
+        SZIGORÚ SZABÁLYOK:
+        1. Csak a megerősített adatokat töltsd ki.
+        2. Ha lóerőt (hp/bhp) találsz, váltsd át kW-ra (hp * 0.745).
+        3. A 'marketing_name' maradjon 50 karakter alatt.
+        
+        VÁLASZ FORMÁTUM (Tiszta JSON):
         {{
-            "marketing_name": "tiszta név",
-            "synonyms": ["név1", "név2"],
-            "technical_code": "gyári kód",
-            "year_from": int,
-            "year_to": int_vagy_null,
+            "marketing_name": "string",
+            "technical_code": "string",
             "ccm": int,
             "kw": int,
-            "maintenance": {{ "oil_type": "string", "oil_qty": float, "spark_plug": "string", "coolant": "string" }}
+            "maintenance": {{
+                "oil_type": "string",
+                "oil_qty_liters": float,
+                "spark_plug": "string",
+                "final_drive": "string"
+            }},
+            "tires": {{
+                "front": "string",
+                "rear": "string"
+            }},
+            "is_duplicate_potential": bool
         }}
-        FONTOS: A 'technical_code' NEM lehet üres. Ha nem találod, adj 'N/A' értéket!
         """
+        return await cls._execute_ai_call(prompt, make, model)
 
-        # Search tool használata esetén a response_mime_type tilos!
-        config = types.GenerateContentConfig(
-            system_instruction="Profi járműtechnikai adatbányász vagy. Csak tiszta JSON-t válaszolsz markdown kódblokk nélkül.",
-            tools=[search_tool],
-            temperature=0.1
-        )
-
+    @classmethod
+    async def _execute_ai_call(cls, prompt: str, make: str, model: str) -> Optional[Dict[str, Any]]:
+        payload = {
+            "model": cls.TEXT_MODEL,
+            "prompt": prompt,
+            "stream": False,
+            "format": "json",
+            "options": {"temperature": 0.1}
+        }
         try:
-            response = cls.client.models.generate_content(model=cls.PRIMARY_MODEL, contents=prompt, config=config)
-            text = response.text
-            # Tisztítás: ha az AI mégis tenne bele markdown jeleket
-            clean_json = re.sub(r'```json\s*|```', '', text).strip()
-            res_json = json.loads(clean_json)
-            if isinstance(res_json, list) and len(res_json) > 0: res_json = res_json[0]
-            return res_json if isinstance(res_json, dict) else None
+            async with httpx.AsyncClient(timeout=120.0) as client:
+                response = await client.post(cls.OLLAMA_BASE_URL, json=payload)
+                response.raise_for_status()
+                res_json = response.json()
+                return json.loads(res_json.get("response", "{}"))
         except Exception as e:
-            logger.error(f"❌ AI hiba ({make} {raw_model}): {e}")
+            logger.error(f"❌ AI hiba ({make} {model}): {e}")
             return None
 
     @classmethod
-    async def analyze_document_image(cls, image_data: bytes, doc_type: str) -> Optional[Dict[str, Any]]:
-        """Robot 3: OCR funkció - Forgalmi, Személyi, Számla, Odometer."""
-        if not cls.client: return None
+    async def get_clean_vehicle_data(cls, make: str, raw_model: str, v_type: str, sources: Dict[str, Any]) -> Optional[Dict[str, Any]]:
         await asyncio.sleep(await cls.get_config_delay())
-        
-        prompts = {
-            "identity": "Személyes okmány adatok (név, szám, lejárat).",
-            "vehicle_reg": "Forgalmi adatok (rendszám, alvázszám, kW, ccm).",
-            "invoice": "Számla adatok (partner, végösszeg, dátum).",
-            "odometer": "Csak a kilométeróra állása számként."
-        }
-        
-        # Itt maradhat a response_mime_type, mert nem használunk Search-öt
-        config = types.GenerateContentConfig(
-            system_instruction="Profi OCR dokumentum-elemző vagy. Csak tiszta JSON-t válaszolsz.",
-            response_mime_type="application/json"
-        )
-        
-        try:
-            response = cls.client.models.generate_content(
-                model=cls.PRIMARY_MODEL,
-                contents=[
-                    f"Elemezd ezt a képet ({doc_type}): {prompts.get(doc_type, 'OCR')}", 
-                    types.Part.from_bytes(data=image_data, mime_type="image/jpeg")
-                ],
-                config=config
-            )
-            res_json = json.loads(response.text)
-            if isinstance(res_json, list) and len(res_json) > 0: res_json = res_json[0]
-            return res_json if isinstance(res_json, dict) else None
-        except Exception as e:
-            logger.error(f"❌ OCR hiba: {e}")
-            return None
+        prompt = f"""
+        FELADAT: Normalizáld a jármű adatait.
+        GYÁRTÓ: {make} | MODELL: {raw_model}
+        ADATOK: {json.dumps(sources)}
+        (JSON válasz marketing_name, synonyms, technical_code, ccm, kw, year_from, year_to)
+        """
+        return await cls._execute_ai_call(prompt, make, raw_model)

backend/app/services/ai_service1.1.0.py

@@ -0,0 +1,141 @@
+import os
+import json
+import logging
+import asyncio
+import re
+import base64
+import httpx
+from typing import Dict, Any, Optional, List
+from sqlalchemy import select
+from app.db.session import SessionLocal
+from app.models import SystemParameter
+
+logger = logging.getLogger("AI-Service")
+
+class AIService:
+    """
+    AI Service v1.3.5 - Private High-Performance Edition
+    - Engine: Local Ollama (GPU Accelerated)
+    - Features: DVLA Integration, 50-char Normalization, Private OCR
+    """
+    
+    # A Docker belső hálózatán a szerviznév 'ollama'
+    OLLAMA_BASE_URL = "http://ollama:11434/api/generate"
+    TEXT_MODEL = "vehicle-pro"
+    VISION_MODEL = "llava:7b"
+    DVLA_API_KEY = os.getenv("DVLA_API_KEY")
+
+    @classmethod
+    async def get_config_delay(cls) -> float:
+        """Késleltetés lekérése az adatbázisból."""
+        try:
+            async with SessionLocal() as db:
+                stmt = select(SystemParameter).where(SystemParameter.key == "AI_REQUEST_DELAY")
+                res = await db.execute(stmt)
+                param = res.scalar_one_or_none()
+                return float(param.value) if param else 0.1
+        except Exception: 
+            return 0.1
+
+    @classmethod
+    async def get_clean_vehicle_data(cls, make: str, raw_model: str, v_type: str, sources: Dict[str, Any]) -> Optional[Dict[str, Any]]:
+        """Robot 2: Adat-összefésülés és normalizálás."""
+        # Várjunk egy kicsit a GPU kímélése érdekében
+        await asyncio.sleep(await cls.get_config_delay())
+
+        prompt = f"""
+        FELADAT: Normalizáld a jármű adatait több forrás alapján.
+        GYÁRTÓ: {make}
+        NYERS MODELLNÉV: {raw_model}
+        FORRÁSOK NYERS ADATAI: {json.dumps(sources, ensure_ascii=False)}
+
+        SZIGORÚ SZABÁLYOK:
+        1. 'marketing_name': MAXIMUM 50 KARAKTER!
+        2. 'synonyms': Gyűjtsd ide az összes többi névváltozatot.
+        3. 'technical_code': Keresd meg a gyári kódokat.
+        
+        VÁLASZ FORMÁTUM (Csak tiszta JSON):
+        {{
+            "marketing_name": "string (max 50)",
+            "synonyms": ["string"],
+            "technical_code": "string",
+            "ccm": int,
+            "kw": int,
+            "euro_class": int,
+            "year_from": int,
+            "year_to": int vagy null,
+            "maintenance": {{
+                "oil_type": "string",
+                "oil_qty": float,
+                "spark_plug": "string"
+            }},
+            "is_duplicate_potential": bool
+        }}
+        """
+
+        payload = {
+            "model": cls.TEXT_MODEL,
+            "prompt": prompt,
+            "stream": False,
+            "format": "json",
+            "options": {"temperature": 0.1}
+        }
+
+        try:
+            async with httpx.AsyncClient(timeout=90.0) as client:
+                logger.info(f"📡 AI kérés küldése: {make} {raw_model}...")
+                response = await client.post(cls.OLLAMA_BASE_URL, json=payload)
+                response.raise_for_status()
+                res_json = response.json()
+                clean_data = json.loads(res_json.get("response", "{}"))
+                
+                if clean_data.get("marketing_name"):
+                    clean_data["marketing_name"] = clean_data["marketing_name"][:50].strip()
+                
+                return clean_data
+        except Exception as e:
+            logger.error(f"❌ AI hiba ({make} {raw_model}): {e}")
+            return None
+
+    @classmethod
+    async def get_dvla_data(cls, vrm: str) -> Optional[Dict[str, Any]]:
+        """Brit rendszám alapú adatok lekérése."""
+        if not cls.DVLA_API_KEY: return None
+        url = "https://driver-vehicle-licensing.api.gov.uk/vehicle-enquiry/v1/vehicles"
+        headers = {"x-api-key": cls.DVLA_API_KEY, "Content-Type": "application/json"}
+        try:
+            async with httpx.AsyncClient() as client:
+                resp = await client.post(url, json={"registrationNumber": vrm}, headers=headers)
+                return resp.json() if resp.status_code == 200 else None
+        except Exception as e:
+            logger.error(f"❌ DVLA API hiba: {e}")
+            return None
+
+    @classmethod
+    async def analyze_document_image(cls, image_data: bytes, doc_type: str) -> Optional[Dict[str, Any]]:
+        """Robot 3: Helyi OCR és dokumentum elemzés (Llava:7b)."""
+        await asyncio.sleep(await cls.get_config_delay())
+        prompts = {
+            "identity": "Extract ID card data (name, id_number, expiry) as JSON.",
+            "vehicle_reg": "Extract vehicle registration (plate, VIN, power_kw, engine_ccm) as JSON.",
+            "invoice": "Extract invoice details (vendor, total_amount, date) as JSON.",
+            "odometer": "Identify the number on the odometer and return as JSON: {'value': int}."
+        }
+        img_b64 = base64.b64encode(image_data).decode('utf-8')
+        payload = {
+            "model": cls.VISION_MODEL,
+            "prompt": prompts.get(doc_type, "Perform OCR and return JSON"),
+            "images": [img_b64],
+            "stream": False,
+            "format": "json"
+        }
+        try:
+            async with httpx.AsyncClient(timeout=120.0) as client:
+                response = await client.post(cls.OLLAMA_BASE_URL, json=payload)
+                res_data = response.json()
+                clean_json = res_data.get("response", "{}")
+                match = re.search(r'\{.*\}', clean_json, re.DOTALL)
+                return json.loads(match.group()) if match else json.loads(clean_json)
+        except Exception as e:
+            logger.error(f"❌ Helyi OCR hiba: {e}")
+            return None

backend/app/services/ai_service_googleApi_old.py

@@ -0,0 +1,111 @@
+import os
+import json
+import logging
+import asyncio
+import re
+from typing import Dict, Any, Optional
+from google import genai
+from google.genai import types
+from sqlalchemy import select
+from app.db.session import SessionLocal
+from app.models import SystemParameter
+
+logger = logging.getLogger("AI-Service")
+
+class AIService:
+    """
+    AI Service v1.2.5 - Final Integrated Edition
+    - Robot 2: Technikai dúsítás (Search + Regex JSON parsing)
+    - Robot 3: OCR (Controlled JSON generation)
+    """
+    api_key = os.getenv("GEMINI_API_KEY")
+    client = genai.Client(api_key=api_key) if api_key else None
+    PRIMARY_MODEL = "gemini-2.0-flash"
+
+    @classmethod
+    async def get_config_delay(cls) -> float:
+        try:
+            async with SessionLocal() as db:
+                stmt = select(SystemParameter).where(SystemParameter.key == "AI_REQUEST_DELAY")
+                res = await db.execute(stmt)
+                param = res.scalar_one_or_none()
+                return float(param.value) if param else 1.0
+        except Exception: return 1.0
+
+    @classmethod
+    async def get_clean_vehicle_data(cls, make: str, raw_model: str, v_type: str) -> Optional[Dict[str, Any]]:
+        """Robot 2: Adatbányászat Google Search segítségével."""
+        if not cls.client: return None
+        await asyncio.sleep(await cls.get_config_delay())
+
+        search_tool = types.Tool(google_search=types.GoogleSearch())
+
+        prompt = f"""
+        KERESS RÁ az interneten: {make} {raw_model} ({v_type}) pontos gyári modellkódja és technikai adatai.
+        Adj választ szigorúan csak egy JSON blokkban:
+        {{
+            "marketing_name": "tiszta név",
+            "synonyms": ["név1", "név2"],
+            "technical_code": "gyári kód",
+            "year_from": int,
+            "year_to": int_vagy_null,
+            "ccm": int,
+            "kw": int,
+            "maintenance": {{ "oil_type": "string", "oil_qty": float, "spark_plug": "string", "coolant": "string" }}
+        }}
+        FONTOS: A 'technical_code' NEM lehet üres. Ha nem találod, adj 'N/A' értéket!
+        """
+        
+        # Search tool használata esetén a response_mime_type tilos!
+        config = types.GenerateContentConfig(
+            system_instruction="Profi járműtechnikai adatbányász vagy. Csak tiszta JSON-t válaszolsz markdown kódblokk nélkül.",
+            tools=[search_tool],
+            temperature=0.1
+        )
+
+        try:
+            response = cls.client.models.generate_content(model=cls.PRIMARY_MODEL, contents=prompt, config=config)
+            text = response.text
+            # Tisztítás: ha az AI mégis tenne bele markdown jeleket
+            clean_json = re.sub(r'```json\s*|```', '', text).strip()
+            res_json = json.loads(clean_json)
+            if isinstance(res_json, list) and len(res_json) > 0: res_json = res_json[0]
+            return res_json if isinstance(res_json, dict) else None
+        except Exception as e:
+            logger.error(f"❌ AI hiba ({make} {raw_model}): {e}")
+            return None
+
+    @classmethod
+    async def analyze_document_image(cls, image_data: bytes, doc_type: str) -> Optional[Dict[str, Any]]:
+        """Robot 3: OCR funkció - Forgalmi, Személyi, Számla, Odometer."""
+        if not cls.client: return None
+        await asyncio.sleep(await cls.get_config_delay())
+        
+        prompts = {
+            "identity": "Személyes okmány adatok (név, szám, lejárat).",
+            "vehicle_reg": "Forgalmi adatok (rendszám, alvázszám, kW, ccm).",
+            "invoice": "Számla adatok (partner, végösszeg, dátum).",
+            "odometer": "Csak a kilométeróra állása számként."
+        }
+        
+        # Itt maradhat a response_mime_type, mert nem használunk Search-öt
+        config = types.GenerateContentConfig(
+            system_instruction="Profi OCR dokumentum-elemző vagy. Csak tiszta JSON-t válaszolsz.",
+            response_mime_type="application/json"
+        )
+        
+        try:
+            response = cls.client.models.generate_content(
+                model=cls.PRIMARY_MODEL,
+                contents=[
+                    f"Elemezd ezt a képet ({doc_type}): {prompts.get(doc_type, 'OCR')}", 
+                    types.Part.from_bytes(data=image_data, mime_type="image/jpeg")
+                ],
+                config=config
+            )
+            res_json = json.loads(response.text)
+            if isinstance(res_json, list) and len(res_json) > 0: res_json = res_json[0]
+            return res_json if isinstance(res_json, dict) else None
+        except Exception as e:
+            logger.error(f"❌ OCR hiba: {e}")
+            return None

backend/app/services/dvla_service.py

@@ -0,0 +1,27 @@
+import httpx
+import logging
+
+logger = logging.getLogger("DVLA-Service")
+
+class DVLAService:
+    API_URL = "https://driver-vehicle-licensing.api.gov.uk/vehicle-enquiry/v1/vehicles"
+    API_KEY = "IDE_MÁSOLD_BE_AZ_API_KULCSOT"
+
+    @classmethod
+    async def get_vehicle_details(cls, vrm: str):
+        """VRM az angol rendszám (pl. AB12 CDE)"""
+        headers = {
+            "x-api-key": cls.API_KEY,
+            "Content-Type": "application/json"
+        }
+        payload = {"registrationNumber": vrm}
+
+        async with httpx.AsyncClient() as client:
+            try:
+                response = await client.post(cls.API_URL, json=payload, headers=headers)
+                if response.status_code == 200:
+                    return response.json()
+                return None
+            except Exception as e:
+                logger.error(f"❌ DVLA hiba: {e}")
+                return None

backend/app/services/image_processor.py

@@ -0,0 +1,62 @@
+import cv2
+import numpy as np
+from typing import Optional
+
+class DocumentImageProcessor:
+    """
+    Saját fejlesztésű képtisztító pipeline OCR-hez.
+    A nyers (mobillal fotózott) képekből kontrasztos, fekete-fehér, zajmentes változatot készít,
+    amelyet az AI már közel 100%-os pontossággal tud olvasni.
+    """
+
+    @staticmethod
+    def process_for_ocr(image_bytes: bytes) -> Optional[bytes]:
+        try:
+            # 1. Kép betöltése a memóriából (FastAPI UploadFile bytes-ból)
+            # A képet nem mentjük a lemezre, villámgyorsan a RAM-ban dolgozzuk fel.
+            nparr = np.frombuffer(image_bytes, np.uint8)
+            img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+
+            if img is None:
+                raise ValueError("A képet nem sikerült dekódolni.")
+
+            # 2. Szürkeárnyalatossá alakítás (A színek csak zavarják a szövegfelismerést)
+            gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+            # 3. Kép átméretezése (Felskálázás)
+            # Az AI és az OCR motorok a minimum 300 DPI körüli képeket szeretik.
+            height, width = gray.shape
+            if width < 1000 or height < 1000:
+                gray = cv2.resize(gray, None, fx=2.0, fy=2.0, interpolation=cv2.INTER_CUBIC)
+
+            # 4. Kontraszt növelése (CLAHE - Contrast Limited Adaptive Histogram Equalization)
+            # Ez eltünteti a vaku okozta becsillanásokat és kiemeli a halvány betűket.
+            clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
+            contrast = clahe.apply(gray)
+
+            # 5. Enyhe homályosítás (Denoising / Noise Reduction)
+            # Eltünteti a papír textúráját (pl. a forgalmi engedély vízjelét vagy a blokk gyűrődéseit).
+            blur = cv2.GaussianBlur(contrast, (5, 5), 0)
+
+            # 6. Adaptív Küszöbérték (Binarization)
+            # Minden pixel környezetét külön vizsgálja. Ez küszöböli ki azt, amikor a fotó egyik 
+            # sarka sötét (pl. árnyékot vet a telefon), a másik meg világos.
+            thresh = cv2.adaptiveThreshold(
+                blur, 
+                255, 
+                cv2.ADAPTIVE_THRESH_GAUSSIAN_C, 
+                cv2.THRESH_BINARY, 
+                11, # Blokk méret (páratlan szám)
+                2   # Konstans levonás
+            )
+
+            # 7. Visszakódolás bájt formátumba (PNG), hogy átadhassuk az AI-nak
+            success, encoded_image = cv2.imencode('.png', thresh)
+            if not success:
+                raise ValueError("Nem sikerült a feldolgozott képet PNG-be kódolni.")
+
+            return encoded_image.tobytes()
+
+        except Exception as e:
+            print(f"Hiba a képfeldolgozás során: {str(e)}")
+            return None

backend/app/services/storage_service.py

@@ -0,0 +1,29 @@
+import uuid
+from minio import Minio
+from app.core.config import settings
+
+class StorageService:
+    client = Minio(
+        settings.MINIO_ENDPOINT,
+        access_key=settings.MINIO_ROOT_USER,
+        secret_key=settings.MINIO_ROOT_PASSWORD,
+        secure=settings.MINIO_SECURE
+    )
+    BUCKET_NAME = "vehicle-documents"
+
+    @classmethod
+    async def upload_document(cls, file_bytes: bytes, file_name: str, folder: str) -> str:
+        if not cls.client.bucket_exists(cls.BUCKET_NAME):
+            cls.client.make_bucket(cls.BUCKET_NAME)
+        
+        # Egyedi fájlnév generálása az ütközések elkerülésére
+        unique_name = f"{folder}/{uuid.uuid4()}_{file_name}"
+        
+        from io import BytesIO
+        cls.client.put_object(
+            cls.BUCKET_NAME,
+            unique_name,
+            BytesIO(file_bytes),
+            len(file_bytes)
+        )
+        return f"{cls.BUCKET_NAME}/{unique_name}"

backend/app/services/translation.py

@@ -0,0 +1,16 @@
+from sqlalchemy import Column, Integer, String, Text, Boolean, UniqueConstraint
+# JAVÍTÁS: Közvetlenül a base_class-ból importálunk, hogy elkerüljük a körkörös importot
+from app.db.base_class import Base 
+
+class Translation(Base):
+    __tablename__ = "translations"
+    __table_args__ = (
+        UniqueConstraint("key", "lang_code", name="uq_translation_key_lang"),
+        {"schema": "data"}
+    )
+
+    id = Column(Integer, primary_key=True, index=True)
+    key = Column(String(100), nullable=False, index=True)
+    lang_code = Column(String(5), nullable=False, index=True)
+    value = Column(Text, nullable=False)
+    is_published = Column(Boolean, default=False)

backend/app/workers/alchemist_v2_2.py

@@ -0,0 +1,111 @@
+import asyncio
+import logging
+from sqlalchemy import select, update, func, and_, case # JAVÍTVA: and_ és case importálva
+from app.db.session import SessionLocal
+from app.models.vehicle_definitions import VehicleModelDefinition
+from app.services.ai_service import AIService
+
+# Logolás finomhangolása
+logging.basicConfig(level=logging.INFO, format='%(asctime)s [%(levelname)s] %(name)s: %(message)s')
+logger = logging.getLogger("Robot-Alchemist-v2.2")
+
+class AlchemistBot:
+    def __init__(self):
+        self.batch_size = 5 # GPU VRAM kímélése (Ollama párhuzamosítás mellett)
+        self.delay_between_records = 12 # Quadro P4000 hűtési idő/késleltetés
+
+    async def synthesize_vehicle(self, vehicle_id: int):
+        """AI dúsítás végrehajtása a begyűjtött kontextusból."""
+        async with SessionLocal() as db:
+            res = await db.execute(select(VehicleModelDefinition).where(VehicleModelDefinition.id == vehicle_id))
+            v = res.scalar_one_or_none()
+            
+            if not v or not v.raw_search_context:
+                logger.warning(f"⚠️ Nincs kontextus az ID:{vehicle_id} rekordhoz, átugrás.")
+                return
+
+            make, model = v.make, v.marketing_name
+            logger.info(f"🧪 Arany dúsítás indul (AI Synthesis): {make} {model}")
+            
+            # Státusz zárolása a feldolgozás idejére
+            await db.execute(
+                update(VehicleModelDefinition)
+                .where(VehicleModelDefinition.id == vehicle_id)
+                .values(status='ai_synthesis_in_progress')
+            )
+            await db.commit()
+
+        # AI hívás: Gold-Data kinyerése a "szemetesládából"
+        gold_data = await AIService.get_gold_data_from_research(make, model, v.raw_search_context)
+
+        async with SessionLocal() as db:
+            if gold_data:
+                # Értékek kinyerése és normalizálása
+                ccm = gold_data.get("ccm")
+                kw = gold_data.get("kw")
+                m_name = gold_data.get("marketing_name", model)[:50]
+                t_code = gold_data.get("technical_code")
+
+                await db.execute(
+                    update(VehicleModelDefinition)
+                    .where(VehicleModelDefinition.id == vehicle_id)
+                    .values(
+                        marketing_name=m_name,
+                        technical_code=t_code or v.technical_code,
+                        engine_capacity=ccm,
+                        power_kw=kw,
+                        features_json=gold_data, # A teljes technikai JSON (olaj, gumi, stb.)
+                        status='gold_enriched',
+                        updated_at=func.now()
+                    )
+                )
+                logger.info(f"✨ GOLD ENRICHED: {make} {m_name} ({ccm} ccm, {kw} kW)")
+            else:
+                # Hiba esetén visszatesszük a sorba, növelve a kísérletek számát
+                await db.execute(
+                    update(VehicleModelDefinition)
+                    .where(VehicleModelDefinition.id == vehicle_id)
+                    .values(
+                        status='awaiting_ai_synthesis', 
+                        attempts=v.attempts + 1,
+                        last_error="AI extraction failed or returned empty"
+                    )
+                )
+                logger.warning(f"⚠️ Sikertelen dúsítás: {make} {model}")
+            
+            await db.commit()
+
+    async def run(self):
+        logger.info("🚀 Robot 2.2 (Alchemist) ONLINE - Prioritásos feldolgozás")
+        while True:
+            async with SessionLocal() as db:
+                # --- PRIORITÁSI LOGIKA (Megegyezik a Researcher botéval) ---
+                priorities = case(
+                    (and_(VehicleModelDefinition.vehicle_type == 'car', 
+                          VehicleModelDefinition.make.in_(['SUZUKI', 'TOYOTA', 'SKODA', 'VOLKSWAGEN', 'OPEL'])), 1),
+                    (VehicleModelDefinition.vehicle_type == 'car', 2),
+                    (and_(VehicleModelDefinition.vehicle_type == 'motorcycle', 
+                          VehicleModelDefinition.make.in_(['HONDA', 'YAMAHA', 'SUZUKI', 'KAWASAKI'])), 3),
+                    else_=4
+                )
+
+                # Lekérdezés prioritás szerint, majd a legrégebben frissített rekordok szerint
+                stmt = select(VehicleModelDefinition.id).where(
+                    VehicleModelDefinition.status == 'awaiting_ai_synthesis'
+                ).order_by(priorities, VehicleModelDefinition.updated_at.asc()).limit(self.batch_size)
+                
+                res = await db.execute(stmt)
+                ids = [r[0] for r in res.fetchall()]
+
+            if not ids:
+                # Ha üres a tartály, pihenünk és várunk a porszívóra
+                await asyncio.sleep(20)
+                continue
+
+            for vid in ids:
+                await self.synthesize_vehicle(vid)
+                # Quadro P4000 hűtés és Ollama API tehermentesítés
+                await asyncio.sleep(self.delay_between_records)
+
+if __name__ == "__main__":
+    asyncio.run(AlchemistBot().run())

backend/app/workers/catalog_robot.py

@@ -1,208 +1,136 @@
 import asyncio
 import httpx
 import logging
-import json
 import os
-import datetime
-from sqlalchemy import text
+import sys
+from sqlalchemy import text, select
 from app.db.session import SessionLocal
-from app.models.asset import AssetCatalog
+from app.models.vehicle_definitions import VehicleModelDefinition
 
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger("Robot-v1.0.13-Global-Hunter")
+# Logolás beállítása
+logging.basicConfig(
+    level=logging.INFO, 
+    format='%(asctime)s [%(levelname)s] %(name)s: %(message)s'
+)
+logger = logging.getLogger("Hunter-v2.4-Paginator")
 
-class CatalogMaster:
-    """
-    Master Hunter Robot v1.0.13 - Global Hunter Edition
-    - Holland (RDW), Brit (DVLA) és Amerikai (NHTSA) adatbázis integráció.
-    - Ratio-Filter: Kiszűri a 0.19-es kW/kg arányszámokat.
-    - Multi-field Power Discovery: Minden lehetséges mezőből kinyeri a kW-ot.
-    - Dinamikus évjárat kezelés a duplikációk ellen.
-    """
-    
-    # API Végpontok
+class CatalogHunter:
     RDW_MAIN = "https://opendata.rdw.nl/resource/m9d7-ebf2.json"
-    RDW_FUEL = "https://opendata.rdw.nl/resource/8ys7-d773.json"
-    RDW_AXLE = "https://opendata.rdw.nl/resource/3huj-srit.json"
-    RDW_BODY = "https://opendata.rdw.nl/resource/vezc-m2t6.json"
-    
-    UK_DVLA = "https://driver-vehicle-licensing.api.gov.uk/vehicle-enquiry/v1/vehicles"
-    US_NHTSA = "https://vpic.nhtsa.dot.gov/api/vehicles/DecodeVinValuesBatch/"
-
     RDW_TOKEN = os.getenv("RDW_APP_TOKEN")
-    UK_API_KEY = os.getenv("UK_DVLA_API_KEY")
-    
     HEADERS_RDW = {"X-App-Token": RDW_TOKEN} if RDW_TOKEN else {}
-    HEADERS_UK = {"x-api-key": UK_API_KEY, "Content-Type": "application/json"} if UK_API_KEY else {}
 
-    CATEGORY_MAP = {
-        "Personenauto": "car",
-        "Motorfiets": "motorcycle",
-        "Bedrijfsauto": "truck",
-        "Vrachtwagen": "truck",
-        "Opleggertrekker": "truck",
-        "Bus": "bus",
-        "Aanhangwagen": "trailer",
-        "Oplegger": "trailer",
-        "Landbouw- of bosbouwtrekker": "agricultural",
-        "camper": "camper"
+    @classmethod
+    async def get_total_count(cls, client, make_name):
+        """Lekéri, összesen hány rekord létezik az adott márkához."""
+        query_filter = f"upper(merk) like '%{make_name.upper()}%'"
+        params = {
+            "$where": query_filter,
+            "$select": "count(*)"
         }
-
-    @classmethod
-    def clean_kw(cls, val):
-        """Speciális kW tisztító: ignorálja az 1.0 alatti arányszámokat."""
         try:
-            if val is None: return None
-            f_val = float(str(val).replace(',', '.'))
-            if 0 < f_val < 1.0: return None # Ez csak arányszám (kW/kg)
-            v = int(f_val)
-            return v if v > 0 else None
-        except (ValueError, TypeError):
-            return None
-
-    @classmethod
-    def clean_int(cls, val):
-        """Általános egész szám tisztító."""
-        try:
-            if val is None: return None
-            return int(float(str(val).replace(',', '.')))
-        except (ValueError, TypeError):
-            return None
-
-    @classmethod
-    async def fetch_api(cls, url, params=None, headers=None, method="GET", json_data=None):
-        """Univerzális API hívó sebességkorlátozással."""
-        async with httpx.AsyncClient(headers=headers, follow_redirects=True) as client:
-            try:
-                await asyncio.sleep(1.2) # Biztonsági késleltetés
-                if method == "POST":
-                    resp = await client.post(url, json=json_data, timeout=30)
-                else:
-                    resp = await client.get(url, params=params, timeout=30)
-                return resp.json() if resp.status_code in [200, 201] else []
+            resp = await client.get(cls.RDW_MAIN, params=params, headers=cls.HEADERS_RDW)
+            if resp.status_code == 200:
+                data = resp.json()
+                return int(data[0]['count'])
+            return 0
         except Exception as e:
-                logger.error(f"❌ API Hiba ({url}): {e}")
-                return []
-
-    @classmethod
-    async def get_deep_tech(cls, plate, main_kw=None, vin=None):
-        """Nemzetközi dúsítás: Holland -> Brit -> Amerikai sorrendben."""
-        res = {"kw": cls.clean_kw(main_kw), "fuel": "Unknown", "axles": None, "body": "Standard", "euro": None}
-        
-        # 1. HOLLAND (RDW) DÚSÍTÁS
-        fuel_data = await cls.fetch_api(cls.RDW_FUEL, {"kenteken": plate}, headers=cls.HEADERS_RDW)
-        if fuel_data:
-            f0 = fuel_data[0]
-            if not res["kw"]:
-                res["kw"] = cls.clean_kw(f0.get("nettomaximumvermogen") or f0.get("netto_maximum_vermogen"))
-            res["fuel"] = f0.get("brandstof_omschrijving", "Unknown")
-            res["euro"] = f0.get("uitlaatemissieniveau")
-
-        # 2. BRIT (DVLA) ELLENŐRZÉS (Ha van UK kulcs és még hiányzik adat)
-        if cls.UK_API_KEY and (not res["kw"] or not res["euro"]):
-            uk_data = await cls.fetch_api(cls.UK_DVLA, method="POST", json_data={"registrationNumber": plate}, headers=cls.HEADERS_UK)
-            if uk_data:
-                res["kw"] = res["kw"] or cls.clean_kw(uk_data.get("engineCapacity")) # Brit adatok finomítása
-                res["euro"] = res["euro"] or uk_data.get("euroStatus")
-
-        # 3. AMERIKAI (NHTSA) KUTATÁS (Ha van alvázszám)
-        if vin and len(vin) == 17:
-            us_data = await cls.fetch_api(cls.US_NHTSA, params={"format": "json", "data": vin})
-            if us_data and "Results" in us_data:
-                # Az amerikai adatbázisból kinyerjük a lóerőt (HP), ha a kW még mindig nincs meg
-                hp = us_data["Results"][0].get("EngineHP")
-                if hp and not res["kw"]:
-                    res["kw"] = int(float(hp) * 0.7457) # HP -> kW konverzió
-
-        # RDW Extra adatok (Tengely, Karosszéria)
-        axle = await cls.fetch_api(cls.RDW_AXLE, {"kenteken": plate}, headers=cls.HEADERS_RDW)
-        if axle: res["axles"] = cls.clean_int(axle[0].get("aantal_assen"))
-        
-        body = await cls.fetch_api(cls.RDW_BODY, {"kenteken": plate}, headers=cls.HEADERS_RDW)
-        if body: res["body"] = body[0].get("carrosserie_omschrijving", "Standard")
-
-        return res
+            logger.error(f"⚠️ Nem sikerült a számlálás: {e}")
+            return 0
 
     @classmethod
     async def process_make(cls, db, task_id, make_name):
-        logger.info(f"🚀 >>> {make_name} GlobalHunter v1.0.13 INDUL...")
-        offset, limit, total_saved = 0, 1000, 0
-        unique_variants = {}
+        clean_make = make_name.strip().upper()
         
-        while True:
-            params = {"merk": make_name.upper(), "$limit": limit, "$offset": offset}
-            main_data = await cls.fetch_api(cls.RDW_MAIN, params, headers=cls.HEADERS_RDW)
-            if not main_data: break
-
-            for item in main_data:
-                plate = item.get("kenteken")
-                if not plate: continue
-                
-                model = str(item.get("handelsbenaming", "Unknown")).upper()
-                ccm = cls.clean_int(item.get("cilinderinhoud"))
-                weight = cls.clean_int(item.get("massa_ledig_voertuig") or item.get("massa_rijklaar"))
-                kw_candidate = item.get("netto_maximum_vermogen") or item.get("vermogen_massarijklaar")
-                
-                raw_date = item.get("datum_eerste_toelating")
-                prod_year = int(str(raw_date)[:4]) if raw_date else 2024
-                
-                v_class = cls.CATEGORY_MAP.get(item.get("voertuigsoort"), "other")
-                if "kampeerwagen" in str(item.get("inrichting", "")).lower(): v_class = "camper"
-
-                # Variáns kulcs: Modell + CCM + Súly + kW + Év = Egyedi technikai ujjlenyomat
-                variant_key = f"{model}-{ccm}-{weight}-{v_class}-{kw_candidate}-{prod_year}"
-                
-                if variant_key not in unique_variants:
-                    unique_variants[variant_key] = {
-                        "model": model, "ccm": ccm, "weight": weight, "v_class": v_class, 
-                        "plate": plate, "main_kw": kw_candidate, "prod_year": prod_year,
-                        "vin": item.get("vin") # Ha az RDW-ben benne van a VIN
-                    }
-
-            if len(main_data) < limit or offset > 90000: break
-            offset += limit
-
-        logger.info(f"📊 {len(unique_variants)} egyedi variáns kutatása indul...")
-
-        for key, v in unique_variants.items():
-            deep = await cls.get_deep_tech(v["plate"], main_kw=v["main_kw"], vin=v["vin"])
-            try:
-                db_item = AssetCatalog(
-                    make=make_name.upper(), model=v["model"], vehicle_class=v["v_class"],
-                    fuel_type=deep["fuel"], power_kw=deep["kw"], engine_capacity=v["ccm"],
-                    max_weight_kg=v["weight"], axle_count=deep["axles"], body_type=deep["body"],
-                    year_from=v["prod_year"], euro_class=deep["euro"],
-                    factory_data={
-                        "source": "GlobalHunter-v1.0.13",
-                        "sample_plate": v["plate"],
-                        "enriched_at": str(datetime.datetime.now())
-                    }
-                )
-                db.add(db_item)
-                await db.commit()
-                total_saved += 1
-                if total_saved % 50 == 0: logger.info(f"✅ {total_saved} variáns elmentve.")
-            except Exception:
-                await db.rollback()
-                continue
+        async with httpx.AsyncClient(timeout=60) as client:
+            # 1. LÉPÉS: Megszámoljuk az összes rekordot
+            total_available = await cls.get_total_count(client, clean_make)
+            logger.info(f"🚀 >>> {clean_make} feltérképezése: {total_available} variáns található az RDW-ben.")
             
+            if total_available == 0:
+                logger.warning(f"⚠️ {clean_make} márkához nem érkezett adat az API-tól.")
                 await db.execute(text("UPDATE data.catalog_discovery SET status = 'processed' WHERE id = :id"), {"id": task_id})
                 await db.commit()
-        logger.info(f"🏁 {make_name} KÉSZ. {total_saved} rekord rögzítve.")
+                return
+
+            # 2. LÉPÉS: Lapozás (Pagination)
+            limit = 1000
+            offset = 0
+            total_added = 0
+            
+            while offset < total_available:
+                logger.info(f"📑 Lapozás: {clean_make} | {offset} -> {offset + limit} (Összesen: {total_available})")
+                
+                query_filter = f"upper(merk) like '%{clean_make}%'"
+                params = {
+                    "$where": query_filter,
+                    "$limit": limit,
+                    "$offset": offset,
+                    "$order": ":id" # Socrata stabil lapozáshoz javasolt
+                }
+                
+                resp = await client.get(cls.RDW_MAIN, params=params, headers=cls.HEADERS_RDW)
+                if resp.status_code != 200:
+                    logger.error(f"❌ Hiba a lapozásnál ({offset}): {resp.status_code}")
+                    break
+                
+                batch = resp.json()
+                if not batch: break
+                
+                # Feldolgozás
+                for item in batch:
+                    res_make = str(item.get("merk", clean_make)).upper()
+                    model = str(item.get("handelsbenaming", "Unknown")).upper()
+                    ccm = int(float(item.get("cilinderinhoud") or 0))
+                    kw = int(float(item.get("netto_maximum_vermogen") or 0))
+                    
+                    # Deduplikáció check
+                    stmt = select(VehicleModelDefinition.id).where(
+                        VehicleModelDefinition.make == res_make,
+                        VehicleModelDefinition.marketing_name == model,
+                        VehicleModelDefinition.engine_capacity == ccm,
+                        VehicleModelDefinition.power_kw == kw
+                    ).limit(1)
+                    
+                    exists = (await db.execute(stmt)).scalar_one_or_none()
+                    if not exists:
+                        db.add(VehicleModelDefinition(
+                            make=res_make,
+                            technical_code=item.get("kenteken"),
+                            marketing_name=model,
+                            engine_capacity=ccm,
+                            power_kw=kw if kw > 0 else None,
+                            status="unverified",
+                            source="HUNTER-v2.4-PAGINATED"
+                        ))
+                        total_added += 1
+                
+                await db.commit() # Lapvégi mentés
+                offset += limit
+
+            # 3. LÉPÉS: Befejezés
+            await db.execute(text("UPDATE data.catalog_discovery SET status = 'processed' WHERE id = :id"), {"id": task_id})
+            await db.commit()
+            logger.info(f"✅ {clean_make} KÉSZ. {total_available} rekord átnézve, {total_added} új variáns stagingbe mentve.")
 
     @classmethod
     async def run(cls):
-        logger.info("🤖 Robot 1.0.13 (Global Hunter) ONLINE")
+        logger.info("🤖 Robot 1 (Hunter) ONLINE - Paginator v2.4")
         while True:
             async with SessionLocal() as db:
-                res = await db.execute(text("SELECT id, make FROM data.catalog_discovery WHERE status = 'pending' LIMIT 1"))
+                query = text("""
+                    SELECT id, make FROM data.catalog_discovery 
+                    WHERE status = 'pending' 
+                    ORDER BY 
+                        CASE WHEN make IN ('SUZUKI', 'TOYOTA', 'SKODA', 'VOLKSWAGEN', 'OPEL') THEN 1 ELSE 2 END, 
+                        id ASC 
+                    LIMIT 1 FOR UPDATE SKIP LOCKED
+                """)
+                res = await db.execute(query)
                 task = res.fetchone()
                 if task:
                     await cls.process_make(db, task[0], task[1])
                 else:
-                    logger.info("😴 Várólista üres. Alvás 60 mp...")
-                    await asyncio.sleep(60)
-            await asyncio.sleep(1)
+                    await asyncio.sleep(20)
 
 if __name__ == "__main__":
-    asyncio.run(CatalogMaster.run())
+    asyncio.run(CatalogHunter.run())

backend/app/workers/catalog_robot1.3_old.py

@@ -0,0 +1,208 @@
+import asyncio
+import httpx
+import logging
+import json
+import os
+import datetime
+from sqlalchemy import text
+from app.db.session import SessionLocal
+from app.models.asset import AssetCatalog
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger("Robot-v1.0.13-Global-Hunter")
+
+class CatalogMaster:
+    """
+    Master Hunter Robot v1.0.13 - Global Hunter Edition
+    - Holland (RDW), Brit (DVLA) és Amerikai (NHTSA) adatbázis integráció.
+    - Ratio-Filter: Kiszűri a 0.19-es kW/kg arányszámokat.
+    - Multi-field Power Discovery: Minden lehetséges mezőből kinyeri a kW-ot.
+    - Dinamikus évjárat kezelés a duplikációk ellen.
+    """
+    
+    # API Végpontok
+    RDW_MAIN = "https://opendata.rdw.nl/resource/m9d7-ebf2.json"
+    RDW_FUEL = "https://opendata.rdw.nl/resource/8ys7-d773.json"
+    RDW_AXLE = "https://opendata.rdw.nl/resource/3huj-srit.json"
+    RDW_BODY = "https://opendata.rdw.nl/resource/vezc-m2t6.json"
+    
+    UK_DVLA = "https://driver-vehicle-licensing.api.gov.uk/vehicle-enquiry/v1/vehicles"
+    US_NHTSA = "https://vpic.nhtsa.dot.gov/api/vehicles/DecodeVinValuesBatch/"
+
+    RDW_TOKEN = os.getenv("RDW_APP_TOKEN")
+    UK_API_KEY = os.getenv("UK_DVLA_API_KEY")
+    
+    HEADERS_RDW = {"X-App-Token": RDW_TOKEN} if RDW_TOKEN else {}
+    HEADERS_UK = {"x-api-key": UK_API_KEY, "Content-Type": "application/json"} if UK_API_KEY else {}
+
+    CATEGORY_MAP = {
+        "Personenauto": "car",
+        "Motorfiets": "motorcycle",
+        "Bedrijfsauto": "truck",
+        "Vrachtwagen": "truck",
+        "Opleggertrekker": "truck",
+        "Bus": "bus",
+        "Aanhangwagen": "trailer",
+        "Oplegger": "trailer",
+        "Landbouw- of bosbouwtrekker": "agricultural",
+        "camper": "camper"
+    }
+
+    @classmethod
+    def clean_kw(cls, val):
+        """Speciális kW tisztító: ignorálja az 1.0 alatti arányszámokat."""
+        try:
+            if val is None: return None
+            f_val = float(str(val).replace(',', '.'))
+            if 0 < f_val < 1.0: return None # Ez csak arányszám (kW/kg)
+            v = int(f_val)
+            return v if v > 0 else None
+        except (ValueError, TypeError):
+            return None
+
+    @classmethod
+    def clean_int(cls, val):
+        """Általános egész szám tisztító."""
+        try:
+            if val is None: return None
+            return int(float(str(val).replace(',', '.')))
+        except (ValueError, TypeError):
+            return None
+
+    @classmethod
+    async def fetch_api(cls, url, params=None, headers=None, method="GET", json_data=None):
+        """Univerzális API hívó sebességkorlátozással."""
+        async with httpx.AsyncClient(headers=headers, follow_redirects=True) as client:
+            try:
+                await asyncio.sleep(1.2) # Biztonsági késleltetés
+                if method == "POST":
+                    resp = await client.post(url, json=json_data, timeout=30)
+                else:
+                    resp = await client.get(url, params=params, timeout=30)
+                return resp.json() if resp.status_code in [200, 201] else []
+            except Exception as e:
+                logger.error(f"❌ API Hiba ({url}): {e}")
+                return []
+
+    @classmethod
+    async def get_deep_tech(cls, plate, main_kw=None, vin=None):
+        """Nemzetközi dúsítás: Holland -> Brit -> Amerikai sorrendben."""
+        res = {"kw": cls.clean_kw(main_kw), "fuel": "Unknown", "axles": None, "body": "Standard", "euro": None}
+        
+        # 1. HOLLAND (RDW) DÚSÍTÁS
+        fuel_data = await cls.fetch_api(cls.RDW_FUEL, {"kenteken": plate}, headers=cls.HEADERS_RDW)
+        if fuel_data:
+            f0 = fuel_data[0]
+            if not res["kw"]:
+                res["kw"] = cls.clean_kw(f0.get("nettomaximumvermogen") or f0.get("netto_maximum_vermogen"))
+            res["fuel"] = f0.get("brandstof_omschrijving", "Unknown")
+            res["euro"] = f0.get("uitlaatemissieniveau")
+
+        # 2. BRIT (DVLA) ELLENŐRZÉS (Ha van UK kulcs és még hiányzik adat)
+        if cls.UK_API_KEY and (not res["kw"] or not res["euro"]):
+            uk_data = await cls.fetch_api(cls.UK_DVLA, method="POST", json_data={"registrationNumber": plate}, headers=cls.HEADERS_UK)
+            if uk_data:
+                res["kw"] = res["kw"] or cls.clean_kw(uk_data.get("engineCapacity")) # Brit adatok finomítása
+                res["euro"] = res["euro"] or uk_data.get("euroStatus")
+
+        # 3. AMERIKAI (NHTSA) KUTATÁS (Ha van alvázszám)
+        if vin and len(vin) == 17:
+            us_data = await cls.fetch_api(cls.US_NHTSA, params={"format": "json", "data": vin})
+            if us_data and "Results" in us_data:
+                # Az amerikai adatbázisból kinyerjük a lóerőt (HP), ha a kW még mindig nincs meg
+                hp = us_data["Results"][0].get("EngineHP")
+                if hp and not res["kw"]:
+                    res["kw"] = int(float(hp) * 0.7457) # HP -> kW konverzió
+
+        # RDW Extra adatok (Tengely, Karosszéria)
+        axle = await cls.fetch_api(cls.RDW_AXLE, {"kenteken": plate}, headers=cls.HEADERS_RDW)
+        if axle: res["axles"] = cls.clean_int(axle[0].get("aantal_assen"))
+        
+        body = await cls.fetch_api(cls.RDW_BODY, {"kenteken": plate}, headers=cls.HEADERS_RDW)
+        if body: res["body"] = body[0].get("carrosserie_omschrijving", "Standard")
+
+        return res
+
+    @classmethod
+    async def process_make(cls, db, task_id, make_name):
+        logger.info(f"🚀 >>> {make_name} GlobalHunter v1.0.13 INDUL...")
+        offset, limit, total_saved = 0, 1000, 0
+        unique_variants = {}
+
+        while True:
+            params = {"merk": make_name.upper(), "$limit": limit, "$offset": offset}
+            main_data = await cls.fetch_api(cls.RDW_MAIN, params, headers=cls.HEADERS_RDW)
+            if not main_data: break
+
+            for item in main_data:
+                plate = item.get("kenteken")
+                if not plate: continue
+                
+                model = str(item.get("handelsbenaming", "Unknown")).upper()
+                ccm = cls.clean_int(item.get("cilinderinhoud"))
+                weight = cls.clean_int(item.get("massa_ledig_voertuig") or item.get("massa_rijklaar"))
+                kw_candidate = item.get("netto_maximum_vermogen") or item.get("vermogen_massarijklaar")
+                
+                raw_date = item.get("datum_eerste_toelating")
+                prod_year = int(str(raw_date)[:4]) if raw_date else 2024
+                
+                v_class = cls.CATEGORY_MAP.get(item.get("voertuigsoort"), "other")
+                if "kampeerwagen" in str(item.get("inrichting", "")).lower(): v_class = "camper"
+
+                # Variáns kulcs: Modell + CCM + Súly + kW + Év = Egyedi technikai ujjlenyomat
+                variant_key = f"{model}-{ccm}-{weight}-{v_class}-{kw_candidate}-{prod_year}"
+                
+                if variant_key not in unique_variants:
+                    unique_variants[variant_key] = {
+                        "model": model, "ccm": ccm, "weight": weight, "v_class": v_class, 
+                        "plate": plate, "main_kw": kw_candidate, "prod_year": prod_year,
+                        "vin": item.get("vin") # Ha az RDW-ben benne van a VIN
+                    }
+
+            if len(main_data) < limit or offset > 90000: break
+            offset += limit
+
+        logger.info(f"📊 {len(unique_variants)} egyedi variáns kutatása indul...")
+
+        for key, v in unique_variants.items():
+            deep = await cls.get_deep_tech(v["plate"], main_kw=v["main_kw"], vin=v["vin"])
+            try:
+                db_item = AssetCatalog(
+                    make=make_name.upper(), model=v["model"], vehicle_class=v["v_class"],
+                    fuel_type=deep["fuel"], power_kw=deep["kw"], engine_capacity=v["ccm"],
+                    max_weight_kg=v["weight"], axle_count=deep["axles"], body_type=deep["body"],
+                    year_from=v["prod_year"], euro_class=deep["euro"],
+                    factory_data={
+                        "source": "GlobalHunter-v1.0.13",
+                        "sample_plate": v["plate"],
+                        "enriched_at": str(datetime.datetime.now())
+                    }
+                )
+                db.add(db_item)
+                await db.commit()
+                total_saved += 1
+                if total_saved % 50 == 0: logger.info(f"✅ {total_saved} variáns elmentve.")
+            except Exception:
+                await db.rollback()
+                continue
+        
+        await db.execute(text("UPDATE data.catalog_discovery SET status = 'processed' WHERE id = :id"), {"id": task_id})
+        await db.commit()
+        logger.info(f"🏁 {make_name} KÉSZ. {total_saved} rekord rögzítve.")
+
+    @classmethod
+    async def run(cls):
+        logger.info("🤖 Robot 1.0.13 (Global Hunter) ONLINE")
+        while True:
+            async with SessionLocal() as db:
+                res = await db.execute(text("SELECT id, make FROM data.catalog_discovery WHERE status = 'pending' LIMIT 1"))
+                task = res.fetchone()
+                if task:
+                    await cls.process_make(db, task[0], task[1])
+                else:
+                    logger.info("😴 Várólista üres. Alvás 60 mp...")
+                    await asyncio.sleep(60)
+            await asyncio.sleep(1)
+
+if __name__ == "__main__":
+    asyncio.run(CatalogMaster.run())

backend/app/workers/catalog_robot1.4.1.py

@@ -0,0 +1,270 @@
+import asyncio
+import httpx
+import logging
+import json
+import os
+import datetime
+import sys
+from sqlalchemy import text
+from app.db.session import SessionLocal
+from app.models.asset import AssetCatalog
+
+# --- KÉNYSZERÍTETT IDŐBÉLYEGES LOGOLÁS ---
+# Töröljük az esetleges korábbi konfigurációkat, hogy az időbélyeg garantált legyen
+for handler in logging.root.handlers[:]:
+    logging.root.removeHandler(handler)
+
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s.%(msecs)03d [%(levelname)s] %(name)s: %(message)s',
+    datefmt='%Y-%m-%d %H:%M:%S',
+    stream=sys.stdout
+)
+logger = logging.getLogger("Robot-v1.4.1-Powerhouse")
+
+class CatalogMaster:
+    """
+    Master Hunter Robot v1.4.1 - Powerhouse Edition
+    - Párhuzamos Holland (RDW) és Amerikai (NHTSA Batch) Discovery.
+    - Garantált időbélyeges naplózás.
+    - Multi-Worker Safe (FOR UPDATE SKIP LOCKED).
+    - Rate Limit (429) védelem.
+    """
+    
+    # API Végpontok
+    RDW_MAIN = "https://opendata.rdw.nl/resource/m9d7-ebf2.json"
+    RDW_FUEL = "https://opendata.rdw.nl/resource/8ys7-d773.json"
+    RDW_AXLE = "https://opendata.rdw.nl/resource/3huj-srit.json"
+    RDW_BODY = "https://opendata.rdw.nl/resource/vezc-m2t6.json"
+    US_BATCH = "https://vpic.nhtsa.dot.gov/api/vehicles/GetModelsForMakeYear/make/{make}/modelyear/{year}?format=json"
+    
+    # BRIT API (Token után aktiválható)
+    UK_DVLA = "https://driver-vehicle-licensing.api.gov.uk/vehicle-enquiry/v1/vehicles"
+
+    RDW_TOKEN = os.getenv("RDW_APP_TOKEN")
+    UK_API_KEY = os.getenv("UK_DVLA_API_KEY")
+    
+    HEADERS_RDW = {"X-App-Token": RDW_TOKEN} if RDW_TOKEN else {}
+    HEADERS_UK = {"x-api-key": UK_API_KEY, "Content-Type": "application/json"} if UK_API_KEY else {}
+
+    CATEGORY_MAP = {
+        "Personenauto": "car",
+        "Motorfiets": "motorcycle",
+        "Bedrijfsauto": "truck",
+        "Vrachtwagen": "truck",
+        "Opleggertrekker": "truck",
+        "Bus": "bus",
+        "Aanhangwagen": "trailer",
+        "Oplegger": "trailer",
+        "Landbouw- of bosbouwtrekker": "agricultural",
+        "camper": "camper"
+    }
+
+    # Szabályozzuk a párhuzamos dúsítást (egyszerre max 5 kérés robotpéldányonként)
+    semaphore = asyncio.Semaphore(5)
+
+    @classmethod
+    def clean_kw(cls, val):
+        try:
+            if val is None: return None
+            f_val = float(str(val).replace(',', '.'))
+            if 0 < f_val < 1.0: return None 
+            v = int(f_val)
+            return v if v > 0 else None
+        except (ValueError, TypeError):
+            return None
+
+    @classmethod
+    def clean_int(cls, val):
+        try:
+            if val is None: return None
+            return int(float(str(val).replace(',', '.')))
+        except (ValueError, TypeError):
+            return None
+
+    @classmethod
+    async def fetch_api(cls, url, params=None, headers=None, method="GET", json_data=None):
+        """Intelligens API hívó 429-es védelemmel és időzített logolással."""
+        async with httpx.AsyncClient(headers=headers, follow_redirects=True) as client:
+            for attempt in range(3):
+                try:
+                    if method == "POST":
+                        resp = await client.post(url, json=json_data, timeout=30)
+                    else:
+                        resp = await client.get(url, params=params, timeout=30)
+                    
+                    if resp.status_code == 429:
+                        wait_time = (attempt + 1) * 5
+                        logger.warning(f"⚠️ RATE LIMIT! Várakozás {wait_time}mp: {url}")
+                        await asyncio.sleep(wait_time)
+                        continue
+                        
+                    return resp.json() if resp.status_code in [200, 201] else []
+                except Exception as e:
+                    logger.error(f"❌ API Hiba ({url}): {e}")
+                    await asyncio.sleep(2)
+            return []
+
+    @classmethod
+    async def get_deep_tech(cls, plate, main_kw=None, vin=None):
+        """Mély dúsítás több forrásból párhuzamosan."""
+        async with cls.semaphore:
+            res = {"kw": cls.clean_kw(main_kw), "fuel": "Unknown", "axles": None, "body": "Standard", "euro": None}
+            
+            # --- 1. HOLLAND (RDW) DÚSÍTÁS ---
+            fuel_task = cls.fetch_api(cls.RDW_FUEL, {"kenteken": plate}, headers=cls.HEADERS_RDW)
+            axle_task = cls.fetch_api(cls.RDW_AXLE, {"kenteken": plate}, headers=cls.HEADERS_RDW)
+            
+            fuel_data, axle_data = await asyncio.gather(fuel_task, axle_task)
+
+            if fuel_data:
+                f0 = fuel_data[0]
+                if not res["kw"]:
+                    res["kw"] = cls.clean_kw(f0.get("nettomaximumvermogen") or f0.get("netto_maximum_vermogen"))
+                res["fuel"] = f0.get("brandstof_omschrijving", "Unknown")
+                res["euro"] = f0.get("uitlaatemissieniveau")
+            
+            if axle_data: 
+                res["axles"] = cls.clean_int(axle_data[0].get("aantal_assen"))
+
+            # --- 2. BRIT (DVLA) ELLENŐRZÉS (AKTIVÁLHATÓ KULCCSAL) ---
+            """
+            if cls.UK_API_KEY and (not res["kw"] or not res["euro"]):
+                uk_data = await cls.fetch_api(cls.UK_DVLA, method="POST", 
+                                            json_data={"registrationNumber": plate}, 
+                                            headers=cls.HEADERS_UK)
+                if uk_data and not isinstance(uk_data, list):
+                    res["kw"] = res["kw"] or cls.clean_kw(uk_data.get("engineCapacity"))
+                    res["euro"] = res["euro"] or uk_data.get("euroStatus")
+            """
+            return res
+
+    @classmethod
+    async def discover_holland(cls, make_name, limit=1000):
+        """Holland Discovery ág: rendszámok gyűjtése."""
+        offset, variants = 0, {}
+        while True:
+            params = {"merk": make_name.upper(), "$limit": limit, "$offset": offset}
+            data = await cls.fetch_api(cls.RDW_MAIN, params, headers=cls.HEADERS_RDW)
+            if not data: break
+
+            for item in data:
+                plate = item.get("kenteken")
+                if not plate: continue
+                model = str(item.get("handelsbenaming", "Unknown")).upper()
+                ccm = cls.clean_int(item.get("cilinderinhoud"))
+                weight = cls.clean_int(item.get("massa_ledig_voertuig") or item.get("massa_rijklaar"))
+                kw = item.get("netto_maximum_vermogen") or item.get("vermogen_massarijklaar")
+                raw_date = item.get("datum_eerste_toelating")
+                year = int(str(raw_date)[:4]) if raw_date else 2024
+                
+                v_class = cls.CATEGORY_MAP.get(item.get("voertuigsoort"), "other")
+                key = f"{model}-{ccm}-{weight}-{v_class}-{kw}-{year}"
+                
+                if key not in variants:
+                    variants[key] = {
+                        "model": model, "ccm": ccm, "weight": weight, "v_class": v_class, 
+                        "plate": plate, "main_kw": kw, "prod_year": year, "vin": item.get("vin")
+                    }
+            if len(data) < limit: break
+            offset += limit
+        return variants
+
+    @classmethod
+    async def discover_usa_batch(cls, make_name):
+        """Amerikai NHTSA Batch Discovery: Típusok gyűjtése."""
+        variants = {}
+        years = range(datetime.datetime.now().year - 5, datetime.datetime.now().year + 1)
+        
+        async def fetch_year(year):
+            url = cls.US_BATCH.format(make=make_name.upper(), year=year)
+            logger.info(f"🇺🇸 USA Batch Discovery indítása: {make_name} ({year})")
+            data = await cls.fetch_api(url)
+            if data and "Results" in data:
+                for m in data["Results"]:
+                    m_name = m.get("Model_Name", "Unknown").upper()
+                    key = f"US-{m_name}-{year}"
+                    if key not in variants:
+                        variants[key] = {
+                            "model": m_name, "ccm": None, "weight": None, "v_class": "car",
+                            "plate": "US-DISCOVERY", "main_kw": None, "prod_year": year, "vin": None
+                        }
+
+        await asyncio.gather(*(fetch_year(y) for y in years))
+        return variants
+
+    @classmethod
+    async def process_make(cls, db, task_id, make_name):
+        logger.info(f"🚀 >>> {make_name} Powerhouse v1.4.1 INDUL...")
+        
+        # Párhuzamos Discovery
+        holland_task = cls.discover_holland(make_name)
+        usa_task = cls.discover_usa_batch(make_name)
+        
+        holland_variants, usa_variants = await asyncio.gather(holland_task, usa_task)
+        all_variants = {**usa_variants, **holland_variants}
+        
+        logger.info(f"📊 Összefésült variánsok száma: {len(all_variants)}")
+
+        async def enrich_and_save(v):
+            deep = await cls.get_deep_tech(v["plate"], main_kw=v["main_kw"], vin=v["vin"])
+            try:
+                db_item = AssetCatalog(
+                    make=make_name.upper(), model=v["model"], vehicle_class=v["v_class"],
+                    fuel_type=deep["fuel"], power_kw=deep["kw"], engine_capacity=v["ccm"],
+                    max_weight_kg=v["weight"], axle_count=deep["axles"], body_type=deep["body"],
+                    year_from=v["prod_year"], euro_class=deep["euro"],
+                    factory_data={
+                        "source": "Powerhouse-v1.4.1",
+                        "discovery_nl": v["plate"] != "US-DISCOVERY",
+                        "enriched_at": str(datetime.datetime.now())
+                    }
+                )
+                return db_item
+            except Exception:
+                return None
+
+        # Párhuzamos dúsítás (Semaphore korláttal)
+        results = await asyncio.gather(*(enrich_and_save(v) for v in all_variants.values()))
+        
+        total_saved = 0
+        for item in results:
+            if item:
+                db.add(item)
+                total_saved += 1
+        
+        await db.commit()
+        await db.execute(text("UPDATE data.catalog_discovery SET status = 'processed' WHERE id = :id"), {"id": task_id})
+        await db.commit()
+        logger.info(f"🏁 {make_name} KÉSZ. {total_saved} egyedi rekord rögzítve.")
+
+    @classmethod
+    async def run(cls):
+        logger.info("🤖 Robot 1.4.1 (Powerhouse) ONLINE - Multi-Worker Safe Mode")
+        while True:
+            async with SessionLocal() as db:
+                # SKIP LOCKED védelem a párhuzamos futtatáshoz
+                query = text("""
+                    SELECT id, make FROM data.catalog_discovery 
+                    WHERE status = 'pending' 
+                    LIMIT 1 
+                    FOR UPDATE SKIP LOCKED
+                """)
+                res = await db.execute(query)
+                task = res.fetchone()
+                
+                if task:
+                    task_id, make_name = task
+                    await db.execute(
+                        text("UPDATE data.catalog_discovery SET status = 'running' WHERE id = :id"),
+                        {"id": task_id}
+                    )
+                    await db.commit()
+                    await cls.process_make(db, task_id, make_name)
+                else:
+                    logger.info("😴 Várólista üres vagy minden feladat foglalt. Alvás 60mp...")
+                    await asyncio.sleep(60)
+            await asyncio.sleep(1)
+
+if __name__ == "__main__":
+    asyncio.run(CatalogMaster.run())

backend/app/workers/catalog_robot1.4.py

@@ -0,0 +1,272 @@
+import asyncio
+import httpx
+import logging
+import json
+import os
+import datetime
+from sqlalchemy import text
+from app.db.session import SessionLocal
+from app.models.asset import AssetCatalog
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger("Robot-v1.4-Powerhouse")
+
+class CatalogMaster:
+    """
+    Master Hunter Robot v1.4 - Powerhouse Edition
+    - Párhuzamos Holland (RDW) és Amerikai (NHTSA Batch) Discovery.
+    - Előkészített, kikommentelt Brit (DVLA) integráció.
+    - Async Semaphore: Párhuzamos technikai dúsítás (egyszerre 10 szálon).
+    - Intelligens összefésülés a globális források között.
+    """
+    
+    # API Végpontok
+    RDW_MAIN = "https://opendata.rdw.nl/resource/m9d7-ebf2.json"
+    RDW_FUEL = "https://opendata.rdw.nl/resource/8ys7-d773.json"
+    RDW_AXLE = "https://opendata.rdw.nl/resource/3huj-srit.json"
+    RDW_BODY = "https://opendata.rdw.nl/resource/vezc-m2t6.json"
+    
+    # AMERIKAI BATCH API: Egyetlen hívással az összes modell évjárat szerint
+    US_BATCH = "https://vpic.nhtsa.dot.gov/api/vehicles/GetModelsForMakeYear/make/{make}/modelyear/{year}?format=json"
+    
+    # BRIT API (Kikapcsolva a tokenig)
+    # UK_DVLA = "https://driver-vehicle-licensing.api.gov.uk/vehicle-enquiry/v1/vehicles"
+
+    RDW_TOKEN = os.getenv("RDW_APP_TOKEN")
+    UK_API_KEY = os.getenv("UK_DVLA_API_KEY") # Jövőbeli token helye
+    
+    HEADERS_RDW = {"X-App-Token": RDW_TOKEN} if RDW_TOKEN else {}
+    # HEADERS_UK = {"x-api-key": UK_API_KEY, "Content-Type": "application/json"} if UK_API_KEY else {}
+
+    CATEGORY_MAP = {
+        "Personenauto": "car",
+        "Motorfiets": "motorcycle",
+        "Bedrijfsauto": "truck",
+        "Vrachtwagen": "truck",
+        "Opleggertrekker": "truck",
+        "Bus": "bus",
+        "Aanhangwagen": "trailer",
+        "Oplegger": "trailer",
+        "Landbouw- of bosbouwtrekker": "agricultural",
+        "camper": "camper"
+    }
+
+    # Szabályozzuk a párhuzamos dúsítást, hogy ne tiltsanak le (egyszerre max 10 kérés)
+    semaphore = asyncio.Semaphore(5)
+
+    @classmethod
+    def clean_kw(cls, val):
+        try:
+            if val is None: return None
+            f_val = float(str(val).replace(',', '.'))
+            if 0 < f_val < 1.0: return None 
+            v = int(f_val)
+            return v if v > 0 else None
+        except (ValueError, TypeError):
+            return None
+
+    @classmethod
+    def clean_int(cls, val):
+        try:
+            if val is None: return None
+            return int(float(str(val).replace(',', '.')))
+        except (ValueError, TypeError):
+            return None
+
+    @classmethod
+    async def fetch_api(cls, url, params=None, headers=None, method="GET", json_data=None):
+        async with httpx.AsyncClient(headers=headers, follow_redirects=True) as client:
+            for attempt in range(3): # 3-szor próbáljuk újra, ha kell
+                try:
+                    if method == "POST":
+                        resp = await client.post(url, json=json_data, timeout=30)
+                    else:
+                        resp = await client.get(url, params=params, timeout=30)
+                    
+                    if resp.status_code == 429: # HOPPÁ, túl gyorsak vagyunk!
+                        wait_time = (attempt + 1) * 5 # Egyre többet vár: 5s, 10s...
+                        logger.warning(f"⚠️ RDW limit elérve! Pihenő {wait_time} mp...")
+                        await asyncio.sleep(wait_time)
+                        continue
+                        
+                    return resp.json() if resp.status_code in [200, 201] else []
+                except Exception as e:
+                    logger.error(f"❌ API Hiba ({url}): {e}")
+                    await asyncio.sleep(2)
+            return []
+
+    @classmethod
+    async def get_deep_tech(cls, plate, main_kw=None, vin=None):
+        """Mély dúsítás párhuzamos forrásokból."""
+        async with cls.semaphore:
+            res = {"kw": cls.clean_kw(main_kw), "fuel": "Unknown", "axles": None, "body": "Standard", "euro": None}
+            
+            # --- 1. HOLLAND (RDW) DÚSÍTÁS ---
+            fuel_task = cls.fetch_api(cls.RDW_FUEL, {"kenteken": plate}, headers=cls.HEADERS_RDW)
+            axle_task = cls.fetch_api(cls.RDW_AXLE, {"kenteken": plate}, headers=cls.HEADERS_RDW)
+            
+            # Holland adatok párhuzamos lekérése
+            fuel_data, axle_data = await asyncio.gather(fuel_task, axle_task)
+
+            if fuel_data:
+                f0 = fuel_data[0]
+                if not res["kw"]:
+                    res["kw"] = cls.clean_kw(f0.get("nettomaximumvermogen") or f0.get("netto_maximum_vermogen"))
+                res["fuel"] = f0.get("brandstof_omschrijving", "Unknown")
+                res["euro"] = f0.get("uitlaatemissieniveau")
+            
+            if axle_data: 
+                res["axles"] = cls.clean_int(axle_data[0].get("aantal_assen"))
+
+            # --- 2. BRIT (DVLA) ELLENŐRZÉS (KIKOMMENTELVE A TOKENIG) ---
+            """
+            if cls.UK_API_KEY and (not res["kw"] or not res["euro"]):
+                uk_data = await cls.fetch_api(cls.UK_DVLA, method="POST", 
+                                            json_data={"registrationNumber": plate}, 
+                                            headers=cls.HEADERS_UK)
+                if uk_data and not isinstance(uk_data, list):
+                    res["kw"] = res["kw"] or cls.clean_kw(uk_data.get("engineCapacity"))
+                    res["euro"] = res["euro"] or uk_data.get("euroStatus")
+            """
+
+            return res
+
+    @classmethod
+    async def discover_holland(cls, make_name, limit=1000):
+        """Holland Discovery ág."""
+        offset, variants = 0, {}
+        while True:
+            params = {"merk": make_name.upper(), "$limit": limit, "$offset": offset}
+            data = await cls.fetch_api(cls.RDW_MAIN, params, headers=cls.HEADERS_RDW)
+            if not data: break
+
+            for item in data:
+                plate = item.get("kenteken")
+                if not plate: continue
+                model = str(item.get("handelsbenaming", "Unknown")).upper()
+                ccm = cls.clean_int(item.get("cilinderinhoud"))
+                weight = cls.clean_int(item.get("massa_ledig_voertuig") or item.get("massa_rijklaar"))
+                kw = item.get("netto_maximum_vermogen") or item.get("vermogen_massarijklaar")
+                raw_date = item.get("datum_eerste_toelating")
+                year = int(str(raw_date)[:4]) if raw_date else 2024
+                
+                v_class = cls.CATEGORY_MAP.get(item.get("voertuigsoort"), "other")
+                key = f"{model}-{ccm}-{weight}-{v_class}-{kw}-{year}"
+                
+                if key not in variants:
+                    variants[key] = {
+                        "model": model, "ccm": ccm, "weight": weight, "v_class": v_class, 
+                        "plate": plate, "main_kw": kw, "prod_year": year, "vin": item.get("vin")
+                    }
+            if len(data) < limit: break
+            offset += limit
+        return variants
+
+    @classmethod
+    async def discover_usa_batch(cls, make_name):
+        """Amerikai NHTSA Batch Discovery ág (2020-2025 évjáratokra)."""
+        variants = {}
+        # Az utolsó 5 évjáratot nézzük a legfrissebb modellekért
+        years = range(datetime.datetime.now().year - 5, datetime.datetime.now().year + 1)
+        
+        async def fetch_year(year):
+            url = cls.US_BATCH.format(make=make_name.upper(), year=year)
+            data = await cls.fetch_api(url)
+            if data and "Results" in data:
+                for m in data["Results"]:
+                    m_name = m.get("Model_Name", "Unknown").upper()
+                    # US adatoknál nincs rendszám, de a Robot 2 dúsítani fogja ha kell
+                    key = f"US-{m_name}-{year}"
+                    variants[key] = {
+                        "model": m_name, "ccm": None, "weight": None, "v_class": "car",
+                        "plate": "US-DISCOVERY", "main_kw": None, "prod_year": year, "vin": None
+                    }
+
+        await asyncio.gather(*(fetch_year(y) for y in years))
+        return variants
+
+    @classmethod
+    async def process_make(cls, db, task_id, make_name):
+        logger.info(f"🚀 >>> {make_name} Powerhouse v1.4 INDUL...")
+        
+        # PÁRHUZAMOS DISCOVERY: Holland és USA egyszerre
+        holland_task = cls.discover_holland(make_name)
+        usa_task = cls.discover_usa_batch(make_name)
+        
+        holland_variants, usa_variants = await asyncio.gather(holland_task, usa_task)
+        
+        # Összefésülés (Holland élvez elsőbbséget a rendszám miatt)
+        all_variants = {**usa_variants, **holland_variants}
+        logger.info(f"📊 Összesen {len(all_variants)} egyedi variáns (NL: {len(holland_variants)}, US: {len(usa_variants)})")
+
+        # PÁRHUZAMOS DÚSÍTÁS
+        async def enrich_and_save(v):
+            deep = await cls.get_deep_tech(v["plate"], main_kw=v["main_kw"], vin=v["vin"])
+            try:
+                db_item = AssetCatalog(
+                    make=make_name.upper(), model=v["model"], vehicle_class=v["v_class"],
+                    fuel_type=deep["fuel"], power_kw=deep["kw"], engine_capacity=v["ccm"],
+                    max_weight_kg=v["weight"], axle_count=deep["axles"], body_type=deep["body"],
+                    year_from=v["prod_year"], euro_class=deep["euro"],
+                    factory_data={
+                        "source": "Powerhouse-v1.4",
+                        "discovery_nl": v["plate"] != "US-DISCOVERY",
+                        "enriched_at": str(datetime.datetime.now())
+                    }
+                )
+                return db_item
+            except Exception:
+                return None
+
+        # Egyszerre indítjuk a dúsításokat (A semaphore korlátozza a szálakat)
+        results = await asyncio.gather(*(enrich_and_save(v) for v in all_variants.values()))
+        
+        # Mentés
+        total_saved = 0
+        for item in results:
+            if item:
+                db.add(item)
+                total_saved += 1
+        
+        await db.commit()
+        await db.execute(text("UPDATE data.catalog_discovery SET status = 'processed' WHERE id = :id"), {"id": task_id})
+        await db.commit()
+        logger.info(f"🏁 {make_name} KÉSZ. {total_saved} rekord rögzítve.")
+
+    @classmethod
+    async def run(cls):
+        logger.info("🤖 Robot 1.4 (Powerhouse) ONLINE - Multi-Worker Safe")
+        while True:
+            async with SessionLocal() as db:
+                # 1. 'FOR UPDATE SKIP LOCKED' - Megfogjuk a sort és lelakatoljuk, 
+                # de a többi robot átugorja, amit mi már fogunk.
+                query = text("""
+                    SELECT id, make FROM data.catalog_discovery 
+                    WHERE status = 'pending' 
+                    LIMIT 1 
+                    FOR UPDATE SKIP LOCKED
+                """)
+                
+                res = await db.execute(query)
+                task = res.fetchone()
+                
+                if task:
+                    task_id, make_name = task
+                    # 2. Azonnal átállítjuk 'running'-ra a tranzakción belül, 
+                    # így senki más nem nyúl hozzá.
+                    await db.execute(
+                        text("UPDATE data.catalog_discovery SET status = 'running' WHERE id = :id"),
+                        {"id": task_id}
+                    )
+                    await db.commit() # Itt véglegesítjük a foglalást
+                    
+                    # 3. Indulhat a tényleges munka
+                    await cls.process_make(db, task_id, make_name)
+                else:
+                    logger.info("😴 Várólista üres (vagy minden sor foglalt). Alvás 60 mp...")
+                    await asyncio.sleep(60)
+            
+            await asyncio.sleep(1)
+
+if __name__ == "__main__":
+    asyncio.run(CatalogMaster.run())

backend/app/workers/researcher_v2_1.py

@@ -0,0 +1,117 @@
+import asyncio
+import logging
+import warnings
+import os
+from sqlalchemy import select, update, and_, func, or_, case # Explicit case import
+from app.db.session import SessionLocal
+from app.models.vehicle_definitions import VehicleModelDefinition
+import httpx
+
+# 1. KRITIKUS JAVÍTÁS: A figyelmeztetések globális elnyomása az import előtt
+warnings.filterwarnings("ignore", category=RuntimeWarning, module='duckduckgo_search')
+from duckduckgo_search import DDGS
+
+# Logolás beállítása, hogy lássuk a haladást
+logging.basicConfig(level=logging.INFO, format='%(asctime)s [%(levelname)s] %(name)s: %(message)s')
+logger = logging.getLogger("Robot-Researcher-v2.1")
+
+class ResearcherBot:
+    def __init__(self):
+        self.batch_size = 15 
+        self.max_parallel_queries = 5
+
+    async def fetch_source(self, label, query):
+        """Egyedi forrás lekérése a DuckDuckGo-tól."""
+        try:
+            def search():
+                # Az újabb verziókban a DDGS() hívás így a legstabilabb
+                with DDGS() as ddgs:
+                    results = ddgs.text(query, max_results=3)
+                    return [r['body'] for r in results] if results else []
+            
+            results = await asyncio.to_thread(search)
+            
+            if not results:
+                return f"=== SOURCE: {label} | NO DATA FOUND ===\n\n"
+
+            content = f"=== SOURCE: {label} | QUERY: {query} ===\n"
+            content += "\n---\n".join(results)
+            content += "\n=== END SOURCE ===\n\n"
+            return content
+        except Exception as e:
+            logger.error(f"❌ Keresési hiba ({label}): {e}")
+            return f"=== SOURCE: {label} ERROR: {str(e)} ===\n\n"
+
+    async def research_vehicle(self, vehicle_id):
+        async with SessionLocal() as db:
+            res = await db.execute(select(VehicleModelDefinition).where(VehicleModelDefinition.id == vehicle_id))
+            v = res.scalar_one_or_none()
+            if not v: return
+            
+            make, model = v.make, v.marketing_name
+            # Jelöljük be, hogy a kutatás folyamatban van
+            await db.execute(update(VehicleModelDefinition).where(VehicleModelDefinition.id == vehicle_id).values(status='research_in_progress'))
+            await db.commit()
+
+        logger.info(f"🔎 Kutatás indul: {make} {model}")
+        
+        queries = [
+            ("TECH_SPECS", f"{make} {model} technical specifications engine power"),
+            ("MAINTENANCE", f"{make} {model} service manual oil capacity spark plug"),
+            ("TIRES_BRAKES", f"{make} {model} tire size brake pad type"),
+            ("FLUIDS", f"{make} {model} coolant quantity transmission oil")
+        ]
+        
+        tasks = [self.fetch_source(label, q) for label, q in queries]
+        search_results = await asyncio.gather(*tasks)
+        
+        full_context = "".join(search_results)
+        
+        async with SessionLocal() as db:
+            await db.execute(
+                update(VehicleModelDefinition)
+                .where(VehicleModelDefinition.id == vehicle_id)
+                .values(
+                    raw_search_context=full_context,
+                    status='awaiting_ai_synthesis', # Itt adjuk át a Robot 2.2-nek (Alchemist)
+                    updated_at=func.now()
+                )
+            )
+            await db.commit()
+        logger.info(f"✅ Kutatás kész, adat a tartályban: {make} {model}")
+
+    async def run(self):
+        logger.info("🚀 Robot 2.1 (Researcher) ONLINE")
+        while True:
+            async with SessionLocal() as db:
+                # 2. KRITIKUS JAVÍTÁS: func.case helyett az explicit case() használata
+                # Ez javítja a "TypeError: got an unexpected keyword argument 'else_'" hibát
+                priorities = case(
+                    (and_(VehicleModelDefinition.vehicle_type == 'car', 
+                          VehicleModelDefinition.make.in_(['SUZUKI', 'TOYOTA', 'SKODA', 'VOLKSWAGEN', 'OPEL'])), 1),
+                    (VehicleModelDefinition.vehicle_type == 'car', 2),
+                    (and_(VehicleModelDefinition.vehicle_type == 'motorcycle', 
+                          VehicleModelDefinition.make.in_(['HONDA', 'YAMAHA', 'SUZUKI', 'KAWASAKI'])), 3),
+                    else_=4
+                )
+
+                stmt = select(VehicleModelDefinition.id).where(
+                    or_(VehicleModelDefinition.status == 'unverified', VehicleModelDefinition.status == 'awaiting_research')
+                ).order_by(priorities).limit(self.batch_size)
+                
+                res = await db.execute(stmt)
+                ids = [r[0] for r in res.fetchall()]
+
+            if not ids:
+                logger.info("💤 Nincs több feldolgozandó feladat, pihenés...")
+                await asyncio.sleep(60)
+                continue
+
+            # Batch feldolgozás indítása párhuzamosan
+            await asyncio.gather(*[self.research_vehicle(rid) for rid in ids])
+            
+            # Rövid szünet a keresőmotorok kímélése érdekében
+            await asyncio.sleep(2) 
+
+if __name__ == "__main__":
+    asyncio.run(ResearcherBot().run())

backend/app/workers/robot0_priority_setter.py

@@ -0,0 +1,83 @@
+import asyncio
+import httpx
+import logging
+import os
+from sqlalchemy import text
+from app.db.session import SessionLocal
+
+logging.basicConfig(level=logging.INFO, format='%(asctime)s [%(levelname)s]: %(message)s')
+logger = logging.getLogger("Robot-0-Strategist")
+
+class Robot0Strategist:
+    RDW_API = "https://opendata.rdw.nl/resource/m9d7-ebf2.json"
+    RDW_TOKEN = os.getenv("RDW_APP_TOKEN")
+    HEADERS = {"X-App-Token": RDW_TOKEN} if RDW_TOKEN else {}
+
+    # Holland típusok leképezése a mi kategóriáinkra a kért sorrendben
+    CATEGORIES = [
+        {"name": "car", "rdw_types": ["'Personenauto'"]},
+        {"name": "motorcycle", "rdw_types": ["'Motorfiets'"]},
+        {"name": "truck", "rdw_types": ["'Bedrijfswagen'", "'Vrachtwagen'", "'Opleggertrekker'"]},
+        {"name": "other", "rdw_types": ["NOT IN ('Personenauto', 'Motorfiets', 'Bedrijfswagen', 'Vrachtwagen', 'Opleggertrekker')"]}
+    ]
+
+    async def get_popular_makes(self, vehicle_class, rdw_types):
+        """Lekéri az adott kategória legnépszerűbb márkáit az RDW-től."""
+        # SQL-szerű szűrés az API-n keresztül
+        type_filter = " OR ".join([f"voertuigsoort = {t}" for t in rdw_types])
+        if "NOT IN" in rdw_types[0]: # Speciális kezelés az 'egyéb' kategóriához
+             type_filter = f"voertuigsoort {rdw_types[0]}"
+
+        params = {
+            "$select": "merk, count(*)",
+            "$where": type_filter,
+            "$group": "merk",
+            "$order": "count DESC",
+            "$limit": 500  # Kategóriánként az 500 legfontosabb márka bőven elég
+        }
+
+        async with httpx.AsyncClient(timeout=30) as client:
+            try:
+                resp = await client.get(self.RDW_API, params=params, headers=self.HEADERS)
+                if resp.status_code == 200:
+                    return resp.json()
+                return []
+            except Exception as e:
+                logger.error(f"❌ Hiba a {vehicle_class} lekérdezésekor: {e}")
+                return []
+
+    async def run(self):
+        logger.info("🚀 Robot 0 (Strategist) INDUL - Piaci alapú sorrend felállítása...")
+        
+        async with SessionLocal() as db:
+            # 1. Töröljük a jelenlegi várólistát, hogy tiszta lappal induljunk (opcionális)
+            # await db.execute(text("DELETE FROM data.catalog_discovery WHERE status = 'pending'"))
+            
+            for category in self.CATEGORIES:
+                v_class = category["name"]
+                logger.info(f"📊 {v_class.upper()} kategória elemzése...")
+                
+                makes = await self.get_popular_makes(v_class, category["rdw_types"])
+                
+                added_count = 0
+                for item in makes:
+                    make_name = item.get("merk")
+                    if not make_name: continue
+                    
+                    # Beillesztés a Discovery táblába
+                    # A prioritást az ID-k sorrendje fogja adni, amit Robot 1 követ
+                    await db.execute(text("""
+                        INSERT INTO data.catalog_discovery (make, model, vehicle_class, status, source)
+                        VALUES (:make, 'ALL_MODELS', :class, 'pending', 'ROBOT-0-POPULARITY')
+                        ON CONFLICT (make, model, vehicle_class) DO UPDATE 
+                        SET status = 'pending' WHERE catalog_discovery.status != 'processed'
+                    """), {"make": make_name.upper(), "class": v_class})
+                    added_count += 1
+                
+                await db.commit()
+                logger.info(f"✅ {v_class.upper()}: {added_count} márka sorba állítva a népszerűség alapján.")
+
+        logger.info("🏁 Robot 0 végzett. A Discovery tábla készen áll a Robot 1 (Hunter) számára!")
+
+if __name__ == "__main__":
+    asyncio.run(Robot0Strategist().run())

backend/app/workers/service_hunter.py

@@ -2,159 +2,159 @@ import asyncio
 import httpx
 import logging
 import os
+import hashlib
 from datetime import datetime, timezone
 from sqlalchemy.ext.asyncio import AsyncSession
-from sqlalchemy import select, text
+from sqlalchemy import select, text, update
 from app.db.session import SessionLocal
-
-# Modellek - Az új v1.3 struktúra
 from app.models.service import ServiceStaging, DiscoveryParameter
 
+# Naplózás
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
-logger = logging.getLogger("Robot-v1.3-ContinentalScout")
+logger = logging.getLogger("Robot-v1.3.1-ContinentalScout")
 
 class ServiceHunter:
     """
-    Robot v1.3.0: Continental Scout.
-    EU-szintű felderítő motor, Discovery tábla alapú vezérléssel.
+    Robot v1.3.1: Continental Scout (Grid Search Edition)
+    - Dinamikus rácsbejárás a sűrű területek lefedésére.
+    - Ujjlenyomat-alapú deduplikáció.
+    - Bővített kulcsszókezelés.
     """
-    OVERPASS_URL = "http://overpass-api.de/api/interpreter"
     PLACES_NEW_URL = "https://places.googleapis.com/v1/places:searchNearby"
     GEOCODE_URL = "https://maps.googleapis.com/maps/api/geocode/json"
     GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
 
     @classmethod
-    async def get_coordinates(cls, city, country_code):
-        """Város központjának lekérése a keresés indításához."""
-        params = {"address": f"{city}, {country_code}", "key": cls.GOOGLE_API_KEY}
-        async with httpx.AsyncClient() as client:
-            resp = await client.get(cls.GEOCODE_URL, params=params)
-            if resp.status_code == 200:
-                results = resp.json().get("results")
-                if results:
-                    loc = results[0]["geometry"]["location"]
-                    return loc["lat"], loc["lng"]
-        return None, None
+    def generate_fingerprint(cls, name: str, city: str, street: str) -> str:
+        """Egyedi ujjlenyomat készítése a duplikációk kiszűrésére."""
+        raw_string = f"{str(name).lower()}|{str(city).lower()}|{str(street).lower()[:5]}"
+        return hashlib.md5(raw_string.encode()).hexdigest()
+
+    @classmethod
+    async def get_city_bounds(cls, city, country_code):
+        """Város befoglaló téglalapjának (Bounding Box) lekérése Nominatim-al."""
+        url = "https://nominatim.openstreetmap.org/search"
+        params = {"city": city, "country": country_code, "format": "json"}
+        async with httpx.AsyncClient(headers={"User-Agent": "ServiceFinder-Scout/1.0"}) as client:
+            resp = await client.get(url, params=params)
+            if resp.status_code == 200 and resp.json():
+                bbox = resp.json()[0].get("boundingbox") # [min_lat, max_lat, min_lon, max_lon]
+                return [float(x) for x in bbox]
+        return None
+
+    @classmethod
+    async def run_grid_search(cls, db, task):
+        """Rács-alapú bejárás a városon belül."""
+        bbox = await cls.get_city_bounds(task.city, task.country_code)
+        if not bbox: return
+
+        # 1km-es lépések generálása (kb. 0.01 fok)
+        lat_step = 0.015 
+        lon_step = 0.02
+        
+        curr_lat = bbox[0]
+        while curr_lat < bbox[1]:
+            curr_lon = bbox[2]
+            while curr_lon < bbox[3]:
+                logger.info(f"🛰️ Rács-cella pásztázása: {curr_lat}, {curr_lon} - Kulcsszó: {task.keyword}")
+                places = await cls.get_google_places(curr_lat, curr_lon, task.keyword)
+                
+                for p in places:
+                    # Adatok kinyerése és tisztítása
+                    name = p.get('displayName', {}).get('text')
+                    full_addr = p.get('formattedAddress', '')
+                    
+                    # Ujjlenyomat generálás
+                    f_print = cls.generate_fingerprint(name, task.city, full_addr)
+                    
+                    await cls.save_to_staging(db, {
+                        "external_id": p.get('id'),
+                        "name": name,
+                        "full_address": full_addr,
+                        "phone": p.get('internationalPhoneNumber'),
+                        "website": p.get('websiteUri'),
+                        "fingerprint": f_print,
+                        "city": task.city,
+                        "source": "google",
+                        "raw": p,
+                        "trust": 30
+                    })
+                curr_lon += lon_step
+                await asyncio.sleep(0.5) # API védelem
+            curr_lat += lat_step
 
     @classmethod
     async def get_google_places(cls, lat, lon, keyword):
-        """Google Places New API - Javított, 400-as hiba elleni védelemmel."""
+        """Google Places New API hívás rács-pontra."""
         if not cls.GOOGLE_API_KEY: return []
-        
         headers = {
             "Content-Type": "application/json",
             "X-Goog-Api-Key": cls.GOOGLE_API_KEY,
-            "X-Goog-FieldMask": "places.displayName,places.id,places.types,places.internationalPhoneNumber,places.websiteUri,places.formattedAddress"
+            "X-Goog-FieldMask": "places.displayName,places.id,places.internationalPhoneNumber,places.websiteUri,places.formattedAddress"
         }
-        
-        # A 'keyword' a TextQuery-hez kellene, a SearchNearby-nél típusokat (includedTypes) használunk.
-        # EU szintű trükk: Ha nincs pontos típus, a 'car_repair' az alapértelmezett.
         payload = {
-            "includedTypes": ["car_repair", "gas_station", "car_wash", "motorcycle_repair"],
+            "includedTypes": ["car_repair", "motorcycle_repair"],
             "maxResultCount": 20,
             "locationRestriction": {
                 "circle": {
                     "center": {"latitude": lat, "longitude": lon},
-                    "radius": 5000.0 # 5km körzet
+                    "radius": 1500.0 # 1.5km sugarú kör a fedés érdekében
                 }
             }
         }
-        
         async with httpx.AsyncClient() as client:
             resp = await client.post(cls.PLACES_NEW_URL, json=payload, headers=headers)
-            if resp.status_code == 200:
-                return resp.json().get("places", [])
-            else:
-                logger.error(f"❌ Google API hiba ({resp.status_code}): {resp.text}")
-                return []
+            return resp.json().get("places", []) if resp.status_code == 200 else []
 
     @classmethod
     async def save_to_staging(cls, db: AsyncSession, data: dict):
-        """Mentés a Staging táblába 9-mezős bontással."""
-        stmt = select(ServiceStaging).where(ServiceStaging.external_id == str(data['external_id']))
-        if (await db.execute(stmt)).scalar_one_or_none(): return
+        """Mentés ujjlenyomat ellenőrzéssel."""
+        # 1. Megnézzük, létezik-e már ez az ujjlenyomat
+        stmt = select(ServiceStaging).where(ServiceStaging.fingerprint == data['fingerprint'])
+        existing = (await db.execute(stmt)).scalar_one_or_none()
+        
+        if existing:
+            # Csak a bizalmi pontot növeljük és az utolsó észlelést frissítjük
+            existing.trust_score += 5
+            return
 
         new_entry = ServiceStaging(
             name=data['name'],
             source=data['source'],
             external_id=str(data['external_id']),
-            # Itt történik a 9-mezős bontás (ha érkezik adat)
-            postal_code=data.get('zip'),
-            city=data.get('city'),
-            street_name=data.get('street'),
-            street_type=data.get('street_type', 'utca'),
-            house_number=data.get('number'),
-            full_address=data.get('full_address'),
-            contact_phone=data.get('phone'),
-            website=data.get('website'),
+            fingerprint=data['fingerprint'],
+            city=data['city'],
+            full_address=data['full_address'],
+            contact_phone=data['phone'],
+            website=data['website'],
             raw_data=data.get('raw', {}),
             status="pending",
-            trust_score=data.get('trust', 10)
+            trust_score=data.get('trust', 30)
         )
         db.add(new_entry)
+        await db.flush()
 
     @classmethod
     async def run(cls):
-        logger.info("🤖 Robot v1.3.0: Continental Scout elindult...")
-        
+        logger.info("🤖 Continental Scout v1.3.1 - Grid Engine INDUL...")
         while True:
             async with SessionLocal() as db:
                 try:
                     await db.execute(text("SET search_path TO data, public"))
-                    # 1. Paraméterek lekérése a táblából
                     stmt = select(DiscoveryParameter).where(DiscoveryParameter.is_active == True)
                     tasks = (await db.execute(stmt)).scalars().all()
 
                     for task in tasks:
-                        logger.info(f"🔎 Felderítés: {task.city} ({task.country_code}) -> {task.keyword}")
-                        
-                        # Koordináták beszerzése a kereséshez
-                        lat, lon = await cls.get_coordinates(task.city, task.country_code)
-                        if not lat: continue
-
-                        # --- GOOGLE FÁZIS ---
-                        google_places = await cls.get_google_places(lat, lon, task.keyword)
-                        for p in google_places:
-                            await cls.save_to_staging(db, {
-                                "external_id": p.get('id'),
-                                "name": p.get('displayName', {}).get('text'),
-                                "full_address": p.get('formattedAddress'),
-                                "phone": p.get('internationalPhoneNumber'),
-                                "website": p.get('websiteUri'),
-                                "source": "google",
-                                "raw": p,
-                                "trust": 30
-                            })
-                        
-                        # --- OSM FÁZIS (EU kompatibilis lekérdezés) ---
-                        osm_query = f"""[out:json][timeout:60];
-                        (nwr["amenity"~"car_repair|fuel"](around:5000, {lat}, {lon}););
-                        out center;"""
-                        async with httpx.AsyncClient() as client:
-                            resp = await client.post(cls.OVERPASS_URL, data={"data": osm_query})
-                            if resp.status_code == 200:
-                                for el in resp.json().get("elements", []):
-                                    t = el.get("tags", {})
-                                    await cls.save_to_staging(db, {
-                                        "external_id": f"osm_{el['id']}",
-                                        "name": t.get('name', 'Ismeretlen szerviz'),
-                                        "city": t.get('addr:city', task.city),
-                                        "zip": t.get('addr:postcode'),
-                                        "street": t.get('addr:street'),
-                                        "number": t.get('addr:housenumber'),
-                                        "source": "osm",
-                                        "raw": el,
-                                        "trust": 15
-                                    })
+                        logger.info(f"🔎 Mélyfúrás indítása: {task.city} -> {task.keyword}")
+                        await cls.run_grid_search(db, task)
                         
                         task.last_run_at = datetime.now(timezone.utc)
                         await db.commit()
-                        logger.info(f"✅ {task.city} felderítve.")
 
                 except Exception as e:
-                    logger.error(f"💥 Kritikus hiba a ciklusban: {e}")
+                    logger.error(f"💥 Hiba: {e}")
+                    await db.rollback()
             
-            logger.info("😴 Minden aktív feladat kész. Alvás 1 órán át...")
             await asyncio.sleep(3600)
 
 if __name__ == "__main__":

backend/app/workers/technical_enricher.py

@@ -3,113 +3,169 @@ import httpx
 import logging
 import os
 import datetime
-from sqlalchemy import select, and_
-from sqlalchemy.exc import IntegrityError
+import random
+import sys
+from sqlalchemy import select, and_, update, text, func
+from sqlalchemy.ext.asyncio import AsyncSession
 from app.db.session import SessionLocal
 from app.models.vehicle_definitions import VehicleModelDefinition
+from app.models.asset import AssetCatalog
 from app.services.ai_service import AIService
+from duckduckgo_search import DDGS
 
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger("Robot-Bulk-Master")
+# --- SZIGORÚ NAPLÓZÁS KONFIGURÁCIÓ ---
+for handler in logging.root.handlers[:]:
+    logging.root.removeHandler(handler)
+
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s.%(msecs)03d [%(levelname)s] Alchemist: %(message)s',
+    datefmt='%Y-%m-%d %H:%M:%S',
+    stream=sys.stdout
+)
+logger = logging.getLogger("Robot-Enricher-v1.3.0")
 
 class TechEnricher:
-    API_URL = "https://opendata.rdw.nl/resource/kyri-nuah.json"
-    RDW_TOKEN = os.getenv("RDW_APP_TOKEN")
-    HEADERS = {"X-App-Token": RDW_TOKEN} if RDW_TOKEN else {}
+    """
+    Industrial TechEnricher v1.3.0
+    - Fix: Deadlock elkerülése izolált session-kezeléssel.
+    - Logika: Napi 500 AI hívás, Smart Merge, Web Fallback.
+    """
 
-    @classmethod
-    async def fetch_rdw_tech_data(cls, make, model):
-        params = {"merk": make.upper(), "handelsbenaming": str(model).strip().upper(), "$limit": 1}
-        async with httpx.AsyncClient(headers=cls.HEADERS) as client:
+    def __init__(self):
+        self.max_attempts = 5
+        self.batch_size = 15
+        self.daily_ai_limit = 500
+        self.ai_calls_today = 0
+        self.last_reset_date = datetime.date.today()
+
+    def check_budget(self) -> bool:
+        if datetime.date.today() > self.last_reset_date:
+            self.ai_calls_today = 0
+            self.last_reset_date = datetime.date.today()
+        return self.ai_calls_today < self.daily_ai_limit
+
+    def is_data_sane(self, data: dict) -> bool:
         try:
-                resp = await client.get(cls.API_URL, params=params, timeout=15)
-                return resp.json()[0] if resp.status_code == 200 and resp.json() else None
-            except: return None
+            if not data: return False
+            ccm = int(data.get("ccm", 0) or 0)
+            kw = int(data.get("kw", 0) or 0)
+            if ccm > 15000 or kw > 2000: return False
+            return True
+        except: return False
 
-    @classmethod
-    async def run(cls):
-        logger.info("🚀 Master-Merge Robot FOLYAMATOS ÜZEMMÓD INDUL...")
+    async def get_web_wisdom(self, make: str, model: str) -> str:
+        """Keresés a neten izolált szálon (nem blokkolja az aszinkron loopot)."""
+        query = f"{make} {model} technical specs maintenance oil qty tire size"
+        try:
+            def sync_search():
+                with DDGS() as ddgs:
+                    return "\n".join([r['body'] for r in ddgs.text(query, max_results=3)])
+            return await asyncio.to_thread(sync_search)
+        except Exception as e:
+            logger.warning(f"🌐 Web hiba ({make}): {e}")
+            return ""
 
-        while True: # Folyamatos ciklus, amíg el nem fogy az adat
-            async with SessionLocal() as main_db:
-                stmt = select(VehicleModelDefinition.id).where(
-                    VehicleModelDefinition.status == "unverified"
-                ).limit(50) # Egyszerre 50 ID-t foglalunk le
-                res = await main_db.execute(stmt)
-                ids = res.scalars().all()
-
-            if not ids:
-                logger.info("🏁 Minden rekord feldolgozva. A robot megáll.")
-                break
-
-            logger.info(f"📦 Új csomag indítása: {len(ids)} rekord.")
-
-            for m_id in ids:
+    async def process_single_record(self, record_id: int):
+        """
+        Dúsítási folyamat 3 szigorúan elválasztott lépésben a fagyás ellen:
+        1. Adat lekérése és DB bezárása.
+        2. AI munka (DB nélkül).
+        3. Mentés új sessionben.
+        """
+        # --- 1. LÉPÉS: ADAT LEKÉRÉSE ---
         async with SessionLocal() as db:
+            stmt = select(VehicleModelDefinition).where(VehicleModelDefinition.id == record_id)
+            res = await db.execute(stmt)
+            rec = res.scalar_one_or_none()
+            if not rec: return
+            make, m_name, v_type = rec.make, rec.marketing_name, (rec.vehicle_type or "car")
+            logger.info(f"🧪 >>> Dúsítás indítása: {make} {m_name}")
+
+        # --- 2. LÉPÉS: AI MUNKA (DB session itt nincs nyitva!) ---
         try:
-                        current = await db.get(VehicleModelDefinition, m_id)
-                        if not current: continue
+            # AIService hívása a kötelező 4. 'sources' paraméterrel
+            ai_data = await AIService.get_clean_vehicle_data(make, m_name, v_type, {})
             
-                        logger.info(f"🧪 Feldolgozás: {current.make} {current.marketing_name} (ID: {m_id})")
+            if not ai_data or not ai_data.get("kw"):
+                logger.info(f"🔍 AI bizonytalan, webes dúsítás indul: {make} {m_name}")
+                web_info = await self.get_web_wisdom(make, m_name)
+                ai_data = await AIService.get_clean_vehicle_data(make, m_name, v_type, {"web_context": web_info})
 
-                        rdw_data = await cls.fetch_rdw_tech_data(current.make, current.marketing_name)
-                        if rdw_data:
-                            current.engine_capacity = int(float(rdw_data.get("cilinderinhoud", 0))) or current.engine_capacity
-                            current.power_kw = int(float(rdw_data.get("netto_maximum_vermogen_kw", 0))) or current.power_kw
+            if not ai_data: raise ValueError("Az AI nem adott értékelhető választ.")
 
-                        ai_data = await AIService.get_clean_vehicle_data(current.make, current.marketing_name, current.vehicle_type)
+            # --- 3. LÉPÉS: MENTÉS (Új session nyitása) ---
+            async with SessionLocal() as db:
+                # MDM (AssetCatalog) Smart Merge
+                cat_stmt = select(AssetCatalog).where(and_(
+                    AssetCatalog.make == make.upper(),
+                    AssetCatalog.model == ai_data.get("marketing_name", m_name)[:50],
+                    AssetCatalog.power_kw == ai_data.get("kw")
+                )).limit(1)
                 
-                        if ai_data:
-                            tech_code = ai_data.get("technical_code") or "N/A"
-                            new_ccm = ai_data.get("ccm") or current.engine_capacity
-
-                            master_record = None
-                            if tech_code and tech_code != "N/A":
-                                stmt_master = select(VehicleModelDefinition).where(and_(
-                                    VehicleModelDefinition.make == current.make,
-                                    VehicleModelDefinition.technical_code == tech_code,
-                                    VehicleModelDefinition.engine_capacity == new_ccm,
-                                    VehicleModelDefinition.status == 'ai_enriched',
-                                    VehicleModelDefinition.id != m_id
+                if not (await db.execute(cat_stmt)).scalar_one_or_none():
+                    db.add(AssetCatalog(
+                        make=make.upper(),
+                        model=ai_data.get("marketing_name", m_name)[:50],
+                        power_kw=ai_data.get("kw"),
+                        engine_capacity=ai_data.get("ccm"),
+                        factory_data=ai_data
                     ))
-                                master_record = (await db.execute(stmt_master)).scalar_one_or_none()
+                    logger.info(f"✅ Mentve az MDM-be: {make} {m_name}")
 
-                            if master_record:
-                                logger.info(f"🔗 Merge: ID:{m_id} -> Master ID:{master_record.id}")
-                                syns = set(master_record.synonyms or [])
-                                syns.update(ai_data.get("synonyms", []))
-                                syns.add(current.marketing_name)
-                                master_record.synonyms = list(syns)
-                                current.status = "duplicate"
-                                current.parent_id = master_record.id
-                            else:
-                                current.technical_code = tech_code if tech_code != "N/A" else f"N/A-{m_id}"
-                                current.marketing_name = ai_data.get("marketing_name", current.marketing_name)
-                                current.engine_capacity = new_ccm
-                                current.power_kw = ai_data.get("kw") or current.power_kw
-                                current.year_from = ai_data.get("year_from")
-                                current.year_to = ai_data.get("year_to")
-                                current.synonyms = ai_data.get("synonyms", [])
-                                
-                                if ai_data.get("maintenance"):
-                                    old_spec = current.specifications or {}
-                                    old_spec.update(ai_data.get("maintenance"))
-                                    current.specifications = old_spec
-                                
-                                current.status = "ai_enriched"
-                        else:
-                            if not current.technical_code:
-                                current.technical_code = f"UNKNOWN-{m_id}"
-
-                        current.updated_at = datetime.datetime.now()
+                # Staging frissítése
+                await db.execute(
+                    update(VehicleModelDefinition)
+                    .where(VehicleModelDefinition.id == record_id)
+                    .values(
+                        status="ai_enriched",
+                        technical_code=ai_data.get("technical_code") or f"GEN-{record_id}",
+                        engine_capacity=ai_data.get("ccm"),
+                        power_kw=ai_data.get("kw"),
+                        updated_at=func.now()
+                    )
+                )
                 await db.commit()
-                        logger.info(f"✅ Mentve (ID: {m_id})")
+                self.ai_calls_today += 1
 
         except Exception as e:
-                        await db.rollback()
-                        logger.error(f"❌ Hiba ID:{m_id}: {e}")
-                    finally:
-                        await db.close()
+            logger.error(f"🚨 Hiba a(z) {record_id} rekordnál: {e}")
+            async with SessionLocal() as db:
+                await db.execute(update(VehicleModelDefinition).where(VehicleModelDefinition.id == record_id).values(
+                    attempts=VehicleModelDefinition.attempts + 1,
+                    last_error=str(e)[:200],
+                    status=text("CASE WHEN attempts >= 4 THEN 'suspended' ELSE 'unverified' END"),
+                    updated_at=func.now()
+                ))
+                await db.commit()
+
+    async def run(self):
+        logger.info(f"🚀 Robot 2 v1.3.0 ONLINE (Limit: {self.daily_ai_limit})")
+        while True:
+            if not self.check_budget():
+                await asyncio.sleep(3600); continue
+
+            try:
+                async with SessionLocal() as db:
+                    # Csak az ID-kat kérjük le, hogy ne tartsuk nyitva a session-t a dúsítás alatt
+                    stmt = select(VehicleModelDefinition.id).where(and_(
+                        VehicleModelDefinition.status == "unverified",
+                        VehicleModelDefinition.attempts < self.max_attempts
+                    )).limit(self.batch_size)
+                    ids = [r[0] for r in (await db.execute(stmt)).fetchall()]
+
+                if not ids:
+                    await asyncio.sleep(60); continue
+
+                logger.info(f"📦 Batch indul: {len(ids)} rekord.")
+                for rid in ids:
+                    await self.process_single_record(rid)
+                    await asyncio.sleep(random.uniform(10.0, 30.0)) # VGA kímélése
+
+            except Exception as e:
+                logger.error(f"🚨 Főciklus hiba: {e}")
+                await asyncio.sleep(30)
 
 if __name__ == "__main__":
-    asyncio.run(TechEnricher.run())
+    enricher = TechEnricher()
+    asyncio.run(enricher.run())

backend/app/workers/vin_auditor.py

@@ -0,0 +1,64 @@
+import asyncio
+import logging
+import sys
+import datetime
+from sqlalchemy import select, and_, text, update
+from sqlalchemy.orm import joinedload
+from app.db.session import SessionLocal
+from app.models.asset import Asset, AssetCatalog
+from app.services.ai_service import AIService
+
+logging.basicConfig(level=logging.INFO, format='%(asctime)s [%(levelname)s] Auditor: %(message)s', stream=sys.stdout)
+logger = logging.getLogger("VIN-Auditor-v1.3.0")
+
+class VINAuditor:
+    """
+    VIN Auditor v1.3.0
+    - Alvázszám alapú hitelesítés és MDM szinkron.
+    """
+
+    @classmethod
+    async def audit_asset(cls, asset_id: int):
+        # 1. ADATGYŰJTÉS ÉS SESSION ZÁRÁS
+        async with SessionLocal() as db:
+            stmt = select(Asset).options(joinedload(Asset.catalog)).where(Asset.id == asset_id)
+            asset = (await db.execute(stmt)).scalar_one_or_none()
+            if not asset or not asset.vin: return
+            make, vin, current_kw = asset.catalog.make, asset.vin, asset.catalog.power_kw
+
+        # 2. AI FÁZIS (Izolált hívás)
+        try:
+            logger.info(f"🛡️ VIN Audit indul: {vin}")
+            truth = await AIService.get_clean_vehicle_data(make, vin, "vin_audit", {"vin": vin})
+            
+            if truth and truth.get("kw"):
+                # 3. MENTÉSI FÁZIS (Új session)
+                async with SessionLocal() as db:
+                    real_kw = int(truth["kw"])
+                    if abs(real_kw - (current_kw or 0)) >= 5:
+                        # Új variáns mentése
+                        new_v = AssetCatalog(make=make.upper(), model=truth.get("marketing_name", "Unknown"), power_kw=real_kw)
+                        db.add(new_v)
+                        await db.flush()
+                        await db.execute(update(Asset).where(Asset.id == asset_id).values(catalog_id=new_v.id, is_verified=True))
+                    else:
+                        await db.execute(update(Asset).where(Asset.id == asset_id).values(is_verified=True))
+                    
+                    await db.commit()
+                    logger.info(f"✅ Audit sikeres: {vin}")
+        except Exception as e:
+            logger.error(f"🚨 Auditor hiba: {e}")
+
+    async def run(self):
+        logger.info("🛡️ Auditor v1.3.0 ONLINE")
+        while True:
+            try:
+                async with SessionLocal() as db:
+                    stmt = select(Asset.id).where(and_(Asset.is_verified == False, Asset.vin.isnot(None))).limit(1)
+                    aid = (await db.execute(stmt)).scalar_one_or_none()
+                if aid: await self.audit_asset(aid)
+                else: await asyncio.sleep(60)
+            except: await asyncio.sleep(30)
+
+if __name__ == "__main__":
+    asyncio.run(VINAuditor().run())

backend/migrations/versions/105626809486_fix_system_params_final.py

@@ -0,0 +1,340 @@
+"""fix_system_params_final
+
+Revision ID: 105626809486
+Revises: 835cc89dadc7
+Create Date: 2026-02-22 07:26:15.174460
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision: str = '105626809486'
+down_revision: Union[str, Sequence[str], None] = '835cc89dadc7'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(op.f('addresses_postal_code_id_fkey'), 'addresses', type_='foreignkey')
+    op.create_foreign_key(None, 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_assignments', 'branches', ['branch_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_costs_organization_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_asset_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_driver_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_costs', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'users', ['driver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_events_asset_id_fkey'), 'asset_events', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_events', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_financials_asset_id_fkey'), 'asset_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_financials', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.drop_constraint(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_reviews', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_reviews', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_telemetry', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('assets_catalog_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_operator_person_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_operator_org_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_owner_person_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_owner_org_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_current_organization_id_fkey'), 'assets', type_='foreignkey')
+    op.create_foreign_key(None, 'assets', 'persons', ['owner_person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'organizations', ['owner_org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'organizations', ['current_organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'persons', ['operator_person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'vehicle_catalog', ['catalog_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'organizations', ['operator_org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('audit_logs_user_id_fkey'), 'audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'audit_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('branches_organization_id_fkey'), 'branches', type_='foreignkey')
+    op.drop_constraint(op.f('branches_address_id_fkey'), 'branches', type_='foreignkey')
+    op.create_foreign_key(None, 'branches', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'branches', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('credit_logs_org_id_fkey'), 'credit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'credit_logs', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('documents_uploaded_by_fkey'), 'documents', type_='foreignkey')
+    op.create_foreign_key(None, 'documents', 'users', ['uploaded_by'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'financial_ledger', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['related_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', type_='foreignkey')
+    op.create_foreign_key(None, 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.drop_constraint(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.create_foreign_key(None, 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('operational_logs_user_id_fkey'), 'operational_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'operational_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='SET NULL')
+    op.drop_constraint(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'org_sales_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_sales_assignments', 'users', ['agent_user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.drop_constraint(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.create_foreign_key(None, 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_subscriptions', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('organization_financials_organization_id_fkey'), 'organization_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_financials', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organization_members_organization_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_user_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_person_id_fkey'), 'organization_members', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_members', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organizations_owner_id_fkey'), 'organizations', type_='foreignkey')
+    op.drop_constraint(op.f('organizations_address_id_fkey'), 'organizations', type_='foreignkey')
+    op.create_foreign_key(None, 'organizations', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organizations', 'users', ['owner_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('pending_actions_requester_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.drop_constraint(op.f('pending_actions_approver_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['approver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['requester_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('persons_address_id_fkey'), 'persons', type_='foreignkey')
+    op.create_foreign_key(None, 'persons', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('points_ledger_user_id_fkey'), 'points_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'points_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('ratings_target_organization_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_user_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_author_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_branch_id_fkey'), 'ratings', type_='foreignkey')
+    op.create_foreign_key(None, 'ratings', 'organizations', ['target_organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'users', ['author_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'users', ['target_user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'branches', ['target_branch_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['actor_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['target_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.drop_constraint(op.f('service_expertises_service_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.create_foreign_key(None, 'service_expertises', 'service_profiles', ['service_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_profiles_organization_id_fkey'), 'service_profiles', type_='foreignkey')
+    op.drop_constraint(op.f('service_profiles_parent_id_fkey'), 'service_profiles', type_='foreignkey')
+    op.create_foreign_key(None, 'service_profiles', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_profiles', 'service_profiles', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_specialties_parent_id_fkey'), 'service_specialties', type_='foreignkey')
+    op.create_foreign_key(None, 'service_specialties', 'service_specialties', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('social_accounts_user_id_fkey'), 'social_accounts', type_='foreignkey')
+    op.create_foreign_key(None, 'social_accounts', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.add_column('system_parameters', sa.Column('id', sa.Integer(), autoincrement=True, nullable=False))
+    op.alter_column('system_parameters', 'value',
+               existing_type=postgresql.JSON(astext_type=sa.Text()),
+               type_=postgresql.JSONB(astext_type=sa.Text()),
+               existing_nullable=False)
+    op.drop_constraint(op.f('user_badges_user_id_fkey'), 'user_badges', type_='foreignkey')
+    op.drop_constraint(op.f('user_badges_badge_id_fkey'), 'user_badges', type_='foreignkey')
+    op.create_foreign_key(None, 'user_badges', 'badges', ['badge_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'user_badges', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('user_stats_user_id_fkey'), 'user_stats', type_='foreignkey')
+    op.create_foreign_key(None, 'user_stats', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('users_person_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_current_sales_agent_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_referred_by_id_fkey'), 'users', type_='foreignkey')
+    op.create_foreign_key(None, 'users', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'users', ['referred_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'users', ['current_sales_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', type_='foreignkey')
+    op.create_foreign_key(None, 'verification_tokens', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.drop_constraint(op.f('wallets_user_id_fkey'), 'wallets', type_='foreignkey')
+    op.create_foreign_key(None, 'wallets', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(None, 'wallets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('wallets_user_id_fkey'), 'wallets', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'verification_tokens', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'])
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'])
+    op.drop_constraint(None, 'vehicle_catalog', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'])
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('users_referred_by_id_fkey'), 'users', 'users', ['referred_by_id'], ['id'])
+    op.create_foreign_key(op.f('users_current_sales_agent_id_fkey'), 'users', 'users', ['current_sales_agent_id'], ['id'])
+    op.create_foreign_key(op.f('users_person_id_fkey'), 'users', 'persons', ['person_id'], ['id'])
+    op.drop_constraint(None, 'user_stats', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_stats_user_id_fkey'), 'user_stats', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_badges_badge_id_fkey'), 'user_badges', 'badges', ['badge_id'], ['id'])
+    op.create_foreign_key(op.f('user_badges_user_id_fkey'), 'user_badges', 'users', ['user_id'], ['id'])
+    op.alter_column('system_parameters', 'value',
+               existing_type=postgresql.JSONB(astext_type=sa.Text()),
+               type_=postgresql.JSON(astext_type=sa.Text()),
+               existing_nullable=False)
+    op.drop_column('system_parameters', 'id')
+    op.drop_constraint(None, 'social_accounts', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('social_accounts_user_id_fkey'), 'social_accounts', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'service_specialties', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_specialties_parent_id_fkey'), 'service_specialties', 'service_specialties', ['parent_id'], ['id'])
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_profiles_parent_id_fkey'), 'service_profiles', 'service_profiles', ['parent_id'], ['id'])
+    op.create_foreign_key(op.f('service_profiles_organization_id_fkey'), 'service_profiles', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_expertises_service_id_fkey'), 'service_expertises', 'service_profiles', ['service_id'], ['id'])
+    op.create_foreign_key(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'])
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', 'users', ['actor_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', 'users', ['target_id'], ['id'])
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('ratings_target_branch_id_fkey'), 'ratings', 'branches', ['target_branch_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_author_id_fkey'), 'ratings', 'users', ['author_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_target_user_id_fkey'), 'ratings', 'users', ['target_user_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_target_organization_id_fkey'), 'ratings', 'organizations', ['target_organization_id'], ['id'])
+    op.drop_constraint(None, 'points_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('points_ledger_user_id_fkey'), 'points_ledger', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'persons', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('persons_address_id_fkey'), 'persons', 'addresses', ['address_id'], ['id'])
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('pending_actions_approver_id_fkey'), 'pending_actions', 'users', ['approver_id'], ['id'])
+    op.create_foreign_key(op.f('pending_actions_requester_id_fkey'), 'pending_actions', 'users', ['requester_id'], ['id'])
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organizations_address_id_fkey'), 'organizations', 'addresses', ['address_id'], ['id'])
+    op.create_foreign_key(op.f('organizations_owner_id_fkey'), 'organizations', 'users', ['owner_id'], ['id'])
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_members_person_id_fkey'), 'organization_members', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_user_id_fkey'), 'organization_members', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_organization_id_fkey'), 'organization_members', 'organizations', ['organization_id'], ['id'])
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_financials_organization_id_fkey'), 'organization_financials', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', 'organizations', ['org_id'], ['id'])
+    op.create_foreign_key(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'])
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', 'users', ['agent_user_id'], ['id'])
+    op.create_foreign_key(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'operational_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('operational_logs_user_id_fkey'), 'operational_logs', 'users', ['user_id'], ['id'], ondelete='SET NULL')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'])
+    op.create_foreign_key(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'])
+    op.drop_constraint(None, 'geo_streets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', 'users', ['related_agent_id'], ['id'])
+    op.drop_constraint(None, 'feature_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.drop_constraint(None, 'documents', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('documents_uploaded_by_fkey'), 'documents', 'users', ['uploaded_by'], ['id'])
+    op.drop_constraint(None, 'credit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('credit_logs_org_id_fkey'), 'credit_logs', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('branches_address_id_fkey'), 'branches', 'addresses', ['address_id'], ['id'])
+    op.create_foreign_key(op.f('branches_organization_id_fkey'), 'branches', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('audit_logs_user_id_fkey'), 'audit_logs', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('assets_current_organization_id_fkey'), 'assets', 'organizations', ['current_organization_id'], ['id'])
+    op.create_foreign_key(op.f('assets_owner_org_id_fkey'), 'assets', 'organizations', ['owner_org_id'], ['id'])
+    op.create_foreign_key(op.f('assets_owner_person_id_fkey'), 'assets', 'persons', ['owner_person_id'], ['id'])
+    op.create_foreign_key(op.f('assets_operator_org_id_fkey'), 'assets', 'organizations', ['operator_org_id'], ['id'])
+    op.create_foreign_key(op.f('assets_operator_person_id_fkey'), 'assets', 'persons', ['operator_person_id'], ['id'])
+    op.create_foreign_key(op.f('assets_catalog_id_fkey'), 'assets', 'vehicle_catalog', ['catalog_id'], ['id'])
+    op.drop_constraint(None, 'asset_telemetry', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'asset_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_financials_asset_id_fkey'), 'asset_financials', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_events', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_events_asset_id_fkey'), 'asset_events', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_costs_driver_id_fkey'), 'asset_costs', 'users', ['driver_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_asset_id_fkey'), 'asset_costs', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_organization_id_fkey'), 'asset_costs', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', 'branches', ['branch_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'addresses', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('addresses_postal_code_id_fkey'), 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    # ### end Alembic commands ###

backend/migrations/versions/492a65da864d_add_robot_protection_fields_v1_2_4.py

@@ -0,0 +1,308 @@
+"""Add robot protection fields v1.2.4
+
+Revision ID: 492a65da864d
+Revises: c64b951dbb86
+Create Date: 2026-02-18 13:05:23.918947
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision: str = '492a65da864d'
+down_revision: Union[str, Sequence[str], None] = 'c64b951dbb86'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(op.f('addresses_postal_code_id_fkey'), 'addresses', type_='foreignkey')
+    op.create_foreign_key(None, 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_assignments', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'branches', ['branch_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_costs_organization_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_asset_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_driver_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_costs', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'users', ['driver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_events_asset_id_fkey'), 'asset_events', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_events', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_financials_asset_id_fkey'), 'asset_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_financials', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.drop_constraint(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_reviews', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_reviews', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_telemetry', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('assets_catalog_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_current_organization_id_fkey'), 'assets', type_='foreignkey')
+    op.create_foreign_key(None, 'assets', 'vehicle_catalog', ['catalog_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'organizations', ['current_organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('audit_logs_user_id_fkey'), 'audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'audit_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('branches_organization_id_fkey'), 'branches', type_='foreignkey')
+    op.drop_constraint(op.f('branches_address_id_fkey'), 'branches', type_='foreignkey')
+    op.create_foreign_key(None, 'branches', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'branches', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('credit_logs_org_id_fkey'), 'credit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'credit_logs', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('documents_uploaded_by_fkey'), 'documents', type_='foreignkey')
+    op.create_foreign_key(None, 'documents', 'users', ['uploaded_by'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['related_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', type_='foreignkey')
+    op.create_foreign_key(None, 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.drop_constraint(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.create_foreign_key(None, 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('operational_logs_user_id_fkey'), 'operational_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'operational_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='SET NULL')
+    op.drop_constraint(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'org_sales_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_sales_assignments', 'users', ['agent_user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.drop_constraint(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.create_foreign_key(None, 'org_subscriptions', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('organization_financials_organization_id_fkey'), 'organization_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_financials', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organization_members_organization_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_person_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_user_id_fkey'), 'organization_members', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_members', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organizations_owner_id_fkey'), 'organizations', type_='foreignkey')
+    op.drop_constraint(op.f('organizations_address_id_fkey'), 'organizations', type_='foreignkey')
+    op.create_foreign_key(None, 'organizations', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organizations', 'users', ['owner_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('pending_actions_approver_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.drop_constraint(op.f('pending_actions_requester_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['requester_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['approver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('persons_address_id_fkey'), 'persons', type_='foreignkey')
+    op.create_foreign_key(None, 'persons', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('points_ledger_user_id_fkey'), 'points_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'points_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('ratings_author_id_fkey'), 'ratings', type_='foreignkey')
+    op.create_foreign_key(None, 'ratings', 'users', ['author_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['target_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['actor_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.drop_constraint(op.f('service_expertises_service_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.create_foreign_key(None, 'service_expertises', 'service_profiles', ['service_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_profiles_organization_id_fkey'), 'service_profiles', type_='foreignkey')
+    op.create_foreign_key(None, 'service_profiles', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_specialties_parent_id_fkey'), 'service_specialties', type_='foreignkey')
+    op.create_foreign_key(None, 'service_specialties', 'service_specialties', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('social_accounts_user_id_fkey'), 'social_accounts', type_='foreignkey')
+    op.create_foreign_key(None, 'social_accounts', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.drop_constraint(op.f('user_badges_user_id_fkey'), 'user_badges', type_='foreignkey')
+    op.drop_constraint(op.f('user_badges_badge_id_fkey'), 'user_badges', type_='foreignkey')
+    op.create_foreign_key(None, 'user_badges', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'user_badges', 'badges', ['badge_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('user_stats_user_id_fkey'), 'user_stats', type_='foreignkey')
+    op.create_foreign_key(None, 'user_stats', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('users_referred_by_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_current_sales_agent_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_person_id_fkey'), 'users', type_='foreignkey')
+    op.create_foreign_key(None, 'users', 'users', ['referred_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'users', ['current_sales_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'], source_schema='data', referent_schema='data')
+    op.add_column('vehicle_model_definitions', sa.Column('is_manual', sa.Boolean(), server_default=sa.text('false'), nullable=True))
+    op.add_column('vehicle_model_definitions', sa.Column('attempts', sa.Integer(), server_default=sa.text('0'), nullable=True))
+    op.add_column('vehicle_model_definitions', sa.Column('last_error', sa.Text(), nullable=True))
+    op.create_index(op.f('ix_data_vehicle_model_definitions_attempts'), 'vehicle_model_definitions', ['attempts'], unique=False, schema='data')
+    op.create_index(op.f('ix_data_vehicle_model_definitions_is_manual'), 'vehicle_model_definitions', ['is_manual'], unique=False, schema='data')
+    op.drop_constraint(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', type_='foreignkey')
+    op.create_foreign_key(None, 'verification_tokens', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.drop_constraint(op.f('wallets_user_id_fkey'), 'wallets', type_='foreignkey')
+    op.create_foreign_key(None, 'wallets', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(None, 'wallets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('wallets_user_id_fkey'), 'wallets', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'verification_tokens', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.drop_index(op.f('ix_data_vehicle_model_definitions_is_manual'), table_name='vehicle_model_definitions', schema='data')
+    op.drop_index(op.f('ix_data_vehicle_model_definitions_attempts'), table_name='vehicle_model_definitions', schema='data')
+    op.drop_column('vehicle_model_definitions', 'last_error')
+    op.drop_column('vehicle_model_definitions', 'attempts')
+    op.drop_column('vehicle_model_definitions', 'is_manual')
+    op.drop_constraint(None, 'vehicle_catalog', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'])
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('users_person_id_fkey'), 'users', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('users_current_sales_agent_id_fkey'), 'users', 'users', ['current_sales_agent_id'], ['id'])
+    op.create_foreign_key(op.f('users_referred_by_id_fkey'), 'users', 'users', ['referred_by_id'], ['id'])
+    op.drop_constraint(None, 'user_stats', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_stats_user_id_fkey'), 'user_stats', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_badges_badge_id_fkey'), 'user_badges', 'badges', ['badge_id'], ['id'])
+    op.create_foreign_key(op.f('user_badges_user_id_fkey'), 'user_badges', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'social_accounts', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('social_accounts_user_id_fkey'), 'social_accounts', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'service_specialties', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_specialties_parent_id_fkey'), 'service_specialties', 'service_specialties', ['parent_id'], ['id'])
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_profiles_organization_id_fkey'), 'service_profiles', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_expertises_service_id_fkey'), 'service_expertises', 'service_profiles', ['service_id'], ['id'])
+    op.create_foreign_key(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'])
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', 'users', ['target_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', 'users', ['actor_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'])
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('ratings_author_id_fkey'), 'ratings', 'users', ['author_id'], ['id'])
+    op.drop_constraint(None, 'points_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('points_ledger_user_id_fkey'), 'points_ledger', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'persons', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('persons_address_id_fkey'), 'persons', 'addresses', ['address_id'], ['id'])
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('pending_actions_requester_id_fkey'), 'pending_actions', 'users', ['requester_id'], ['id'])
+    op.create_foreign_key(op.f('pending_actions_approver_id_fkey'), 'pending_actions', 'users', ['approver_id'], ['id'])
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organizations_address_id_fkey'), 'organizations', 'addresses', ['address_id'], ['id'])
+    op.create_foreign_key(op.f('organizations_owner_id_fkey'), 'organizations', 'users', ['owner_id'], ['id'])
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_members_user_id_fkey'), 'organization_members', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_person_id_fkey'), 'organization_members', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_organization_id_fkey'), 'organization_members', 'organizations', ['organization_id'], ['id'])
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_financials_organization_id_fkey'), 'organization_financials', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'])
+    op.create_foreign_key(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', 'users', ['agent_user_id'], ['id'])
+    op.drop_constraint(None, 'operational_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('operational_logs_user_id_fkey'), 'operational_logs', 'users', ['user_id'], ['id'], ondelete='SET NULL')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'])
+    op.create_foreign_key(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'])
+    op.drop_constraint(None, 'geo_streets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', 'users', ['related_agent_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', 'persons', ['person_id'], ['id'])
+    op.drop_constraint(None, 'feature_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.drop_constraint(None, 'documents', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('documents_uploaded_by_fkey'), 'documents', 'users', ['uploaded_by'], ['id'])
+    op.drop_constraint(None, 'credit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('credit_logs_org_id_fkey'), 'credit_logs', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('branches_address_id_fkey'), 'branches', 'addresses', ['address_id'], ['id'])
+    op.create_foreign_key(op.f('branches_organization_id_fkey'), 'branches', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('audit_logs_user_id_fkey'), 'audit_logs', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('assets_current_organization_id_fkey'), 'assets', 'organizations', ['current_organization_id'], ['id'])
+    op.create_foreign_key(op.f('assets_catalog_id_fkey'), 'assets', 'vehicle_catalog', ['catalog_id'], ['id'])
+    op.drop_constraint(None, 'asset_telemetry', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'asset_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_financials_asset_id_fkey'), 'asset_financials', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_events', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_events_asset_id_fkey'), 'asset_events', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_costs_driver_id_fkey'), 'asset_costs', 'users', ['driver_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_asset_id_fkey'), 'asset_costs', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_organization_id_fkey'), 'asset_costs', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', 'branches', ['branch_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'addresses', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('addresses_postal_code_id_fkey'), 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    # ### end Alembic commands ###

backend/migrations/versions/54cbd5c9e003_pipeline_v2_upgrade.py

@@ -0,0 +1,356 @@
+"""pipeline_v2_upgrade
+
+Revision ID: 54cbd5c9e003
+Revises: d362d1cb0b38
+Create Date: 2026-02-20 11:45:15.360508
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision: str = '54cbd5c9e003'
+down_revision: Union[str, Sequence[str], None] = 'd362d1cb0b38'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(op.f('addresses_postal_code_id_fkey'), 'addresses', type_='foreignkey')
+    op.create_foreign_key(None, 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_assignments', 'branches', ['branch_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_costs_organization_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_driver_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_asset_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_costs', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'users', ['driver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_events_asset_id_fkey'), 'asset_events', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_events', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_financials_asset_id_fkey'), 'asset_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_financials', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.drop_constraint(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_reviews', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_reviews', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_telemetry', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('assets_current_organization_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_catalog_id_fkey'), 'assets', type_='foreignkey')
+    op.create_foreign_key(None, 'assets', 'organizations', ['current_organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'vehicle_catalog', ['catalog_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('audit_logs_user_id_fkey'), 'audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'audit_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('branches_organization_id_fkey'), 'branches', type_='foreignkey')
+    op.drop_constraint(op.f('branches_address_id_fkey'), 'branches', type_='foreignkey')
+    op.create_foreign_key(None, 'branches', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'branches', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('credit_logs_org_id_fkey'), 'credit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'credit_logs', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('documents_uploaded_by_fkey'), 'documents', type_='foreignkey')
+    op.create_foreign_key(None, 'documents', 'users', ['uploaded_by'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['related_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', type_='foreignkey')
+    op.create_foreign_key(None, 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.drop_constraint(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.create_foreign_key(None, 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('operational_logs_user_id_fkey'), 'operational_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'operational_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='SET NULL')
+    op.drop_constraint(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'org_sales_assignments', 'users', ['agent_user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_sales_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.drop_constraint(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.create_foreign_key(None, 'org_subscriptions', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('organization_financials_organization_id_fkey'), 'organization_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_financials', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organization_members_organization_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_user_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_person_id_fkey'), 'organization_members', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_members', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organizations_owner_id_fkey'), 'organizations', type_='foreignkey')
+    op.drop_constraint(op.f('organizations_address_id_fkey'), 'organizations', type_='foreignkey')
+    op.create_foreign_key(None, 'organizations', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organizations', 'users', ['owner_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('pending_actions_approver_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.drop_constraint(op.f('pending_actions_requester_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['approver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['requester_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('persons_address_id_fkey'), 'persons', type_='foreignkey')
+    op.create_foreign_key(None, 'persons', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('points_ledger_user_id_fkey'), 'points_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'points_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('ratings_author_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_organization_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_user_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_branch_id_fkey'), 'ratings', type_='foreignkey')
+    op.create_foreign_key(None, 'ratings', 'branches', ['target_branch_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'users', ['author_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'users', ['target_user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'organizations', ['target_organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['target_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['actor_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.drop_constraint(op.f('service_expertises_service_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.create_foreign_key(None, 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_expertises', 'service_profiles', ['service_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_profiles_parent_id_fkey'), 'service_profiles', type_='foreignkey')
+    op.drop_constraint(op.f('service_profiles_organization_id_fkey'), 'service_profiles', type_='foreignkey')
+    op.create_foreign_key(None, 'service_profiles', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_profiles', 'service_profiles', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_specialties_parent_id_fkey'), 'service_specialties', type_='foreignkey')
+    op.create_foreign_key(None, 'service_specialties', 'service_specialties', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('social_accounts_user_id_fkey'), 'social_accounts', type_='foreignkey')
+    op.create_foreign_key(None, 'social_accounts', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.add_column('translations', sa.Column('lang', sa.String(length=5), nullable=True))
+    op.alter_column('translations', 'key',
+               existing_type=sa.VARCHAR(length=100),
+               type_=sa.String(length=255),
+               nullable=True)
+    op.alter_column('translations', 'value',
+               existing_type=sa.TEXT(),
+               nullable=True)
+    op.drop_index(op.f('ix_data_translations_lang_code'), table_name='translations')
+    op.drop_constraint(op.f('uq_translation_key_lang'), 'translations', type_='unique')
+    op.create_index(op.f('ix_data_translations_lang'), 'translations', ['lang'], unique=False, schema='data')
+    op.drop_column('translations', 'is_published')
+    op.drop_column('translations', 'lang_code')
+    op.drop_constraint(op.f('user_badges_badge_id_fkey'), 'user_badges', type_='foreignkey')
+    op.drop_constraint(op.f('user_badges_user_id_fkey'), 'user_badges', type_='foreignkey')
+    op.create_foreign_key(None, 'user_badges', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'user_badges', 'badges', ['badge_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('user_stats_user_id_fkey'), 'user_stats', type_='foreignkey')
+    op.create_foreign_key(None, 'user_stats', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('users_current_sales_agent_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_person_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_referred_by_id_fkey'), 'users', type_='foreignkey')
+    op.create_foreign_key(None, 'users', 'users', ['referred_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'users', ['current_sales_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'], source_schema='data', referent_schema='data')
+    op.add_column('vehicle_model_definitions', sa.Column('raw_search_context', sa.Text(), nullable=True))
+    op.add_column('vehicle_model_definitions', sa.Column('research_metadata', postgresql.JSONB(astext_type=sa.Text()), server_default=sa.text("'{}'::jsonb"), nullable=False))
+    op.alter_column('vehicle_model_definitions', 'status',
+               existing_type=sa.VARCHAR(length=20),
+               type_=sa.String(length=30),
+               existing_nullable=True,
+               existing_server_default=sa.text("'unverified'::character varying"))
+    op.create_index(op.f('ix_data_vehicle_model_definitions_status'), 'vehicle_model_definitions', ['status'], unique=False, schema='data')
+    op.drop_constraint(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', type_='foreignkey')
+    op.create_foreign_key(None, 'verification_tokens', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.drop_constraint(op.f('wallets_user_id_fkey'), 'wallets', type_='foreignkey')
+    op.create_foreign_key(None, 'wallets', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(None, 'wallets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('wallets_user_id_fkey'), 'wallets', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'verification_tokens', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'])
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'])
+    op.drop_index(op.f('ix_data_vehicle_model_definitions_status'), table_name='vehicle_model_definitions', schema='data')
+    op.alter_column('vehicle_model_definitions', 'status',
+               existing_type=sa.String(length=30),
+               type_=sa.VARCHAR(length=20),
+               existing_nullable=True,
+               existing_server_default=sa.text("'unverified'::character varying"))
+    op.drop_column('vehicle_model_definitions', 'research_metadata')
+    op.drop_column('vehicle_model_definitions', 'raw_search_context')
+    op.drop_constraint(None, 'vehicle_catalog', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'])
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('users_referred_by_id_fkey'), 'users', 'users', ['referred_by_id'], ['id'])
+    op.create_foreign_key(op.f('users_person_id_fkey'), 'users', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('users_current_sales_agent_id_fkey'), 'users', 'users', ['current_sales_agent_id'], ['id'])
+    op.drop_constraint(None, 'user_stats', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_stats_user_id_fkey'), 'user_stats', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_badges_user_id_fkey'), 'user_badges', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('user_badges_badge_id_fkey'), 'user_badges', 'badges', ['badge_id'], ['id'])
+    op.add_column('translations', sa.Column('lang_code', sa.VARCHAR(length=5), autoincrement=False, nullable=False))
+    op.add_column('translations', sa.Column('is_published', sa.BOOLEAN(), autoincrement=False, nullable=True))
+    op.drop_index(op.f('ix_data_translations_lang'), table_name='translations', schema='data')
+    op.create_unique_constraint(op.f('uq_translation_key_lang'), 'translations', ['key', 'lang_code'], postgresql_nulls_not_distinct=False)
+    op.create_index(op.f('ix_data_translations_lang_code'), 'translations', ['lang_code'], unique=False)
+    op.alter_column('translations', 'value',
+               existing_type=sa.TEXT(),
+               nullable=False)
+    op.alter_column('translations', 'key',
+               existing_type=sa.String(length=255),
+               type_=sa.VARCHAR(length=100),
+               nullable=False)
+    op.drop_column('translations', 'lang')
+    op.drop_constraint(None, 'social_accounts', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('social_accounts_user_id_fkey'), 'social_accounts', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'service_specialties', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_specialties_parent_id_fkey'), 'service_specialties', 'service_specialties', ['parent_id'], ['id'])
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_profiles_organization_id_fkey'), 'service_profiles', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('service_profiles_parent_id_fkey'), 'service_profiles', 'service_profiles', ['parent_id'], ['id'])
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_expertises_service_id_fkey'), 'service_expertises', 'service_profiles', ['service_id'], ['id'])
+    op.create_foreign_key(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'])
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', 'users', ['target_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', 'users', ['actor_id'], ['id'])
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('ratings_target_branch_id_fkey'), 'ratings', 'branches', ['target_branch_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_target_user_id_fkey'), 'ratings', 'users', ['target_user_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_target_organization_id_fkey'), 'ratings', 'organizations', ['target_organization_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_author_id_fkey'), 'ratings', 'users', ['author_id'], ['id'])
+    op.drop_constraint(None, 'points_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('points_ledger_user_id_fkey'), 'points_ledger', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'persons', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('persons_address_id_fkey'), 'persons', 'addresses', ['address_id'], ['id'])
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('pending_actions_requester_id_fkey'), 'pending_actions', 'users', ['requester_id'], ['id'])
+    op.create_foreign_key(op.f('pending_actions_approver_id_fkey'), 'pending_actions', 'users', ['approver_id'], ['id'])
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organizations_address_id_fkey'), 'organizations', 'addresses', ['address_id'], ['id'])
+    op.create_foreign_key(op.f('organizations_owner_id_fkey'), 'organizations', 'users', ['owner_id'], ['id'])
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_members_person_id_fkey'), 'organization_members', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_user_id_fkey'), 'organization_members', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_organization_id_fkey'), 'organization_members', 'organizations', ['organization_id'], ['id'])
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_financials_organization_id_fkey'), 'organization_financials', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'])
+    op.create_foreign_key(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', 'users', ['agent_user_id'], ['id'])
+    op.drop_constraint(None, 'operational_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('operational_logs_user_id_fkey'), 'operational_logs', 'users', ['user_id'], ['id'], ondelete='SET NULL')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'])
+    op.create_foreign_key(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'])
+    op.drop_constraint(None, 'geo_streets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', 'users', ['related_agent_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', 'persons', ['person_id'], ['id'])
+    op.drop_constraint(None, 'feature_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.drop_constraint(None, 'documents', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('documents_uploaded_by_fkey'), 'documents', 'users', ['uploaded_by'], ['id'])
+    op.drop_constraint(None, 'credit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('credit_logs_org_id_fkey'), 'credit_logs', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('branches_address_id_fkey'), 'branches', 'addresses', ['address_id'], ['id'])
+    op.create_foreign_key(op.f('branches_organization_id_fkey'), 'branches', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('audit_logs_user_id_fkey'), 'audit_logs', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('assets_catalog_id_fkey'), 'assets', 'vehicle_catalog', ['catalog_id'], ['id'])
+    op.create_foreign_key(op.f('assets_current_organization_id_fkey'), 'assets', 'organizations', ['current_organization_id'], ['id'])
+    op.drop_constraint(None, 'asset_telemetry', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_financials_asset_id_fkey'), 'asset_financials', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_events', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_events_asset_id_fkey'), 'asset_events', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_costs_asset_id_fkey'), 'asset_costs', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_driver_id_fkey'), 'asset_costs', 'users', ['driver_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_organization_id_fkey'), 'asset_costs', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', 'branches', ['branch_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'addresses', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('addresses_postal_code_id_fkey'), 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    # ### end Alembic commands ###

backend/migrations/versions/835cc89dadc7_add_scope_columns_to_system_parameters.py

@@ -0,0 +1,338 @@
+"""add_scope_columns_to_system_parameters
+
+Revision ID: 835cc89dadc7
+Revises: dd910cabe24e
+Create Date: 2026-02-21 21:48:40.720825
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision: str = '835cc89dadc7'
+down_revision: Union[str, Sequence[str], None] = 'dd910cabe24e'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(op.f('addresses_postal_code_id_fkey'), 'addresses', type_='foreignkey')
+    op.create_foreign_key(None, 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'branches', ['branch_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_costs_asset_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_organization_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_driver_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_costs', 'users', ['driver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_events_asset_id_fkey'), 'asset_events', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_events', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_financials_asset_id_fkey'), 'asset_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_financials', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.drop_constraint(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_reviews', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_reviews', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_telemetry', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('assets_operator_org_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_current_organization_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_owner_org_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_owner_person_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_catalog_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_operator_person_id_fkey'), 'assets', type_='foreignkey')
+    op.create_foreign_key(None, 'assets', 'organizations', ['current_organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'vehicle_catalog', ['catalog_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'persons', ['owner_person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'persons', ['operator_person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'organizations', ['owner_org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'organizations', ['operator_org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('audit_logs_user_id_fkey'), 'audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'audit_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('branches_address_id_fkey'), 'branches', type_='foreignkey')
+    op.drop_constraint(op.f('branches_organization_id_fkey'), 'branches', type_='foreignkey')
+    op.create_foreign_key(None, 'branches', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'branches', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('credit_logs_org_id_fkey'), 'credit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'credit_logs', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('documents_uploaded_by_fkey'), 'documents', type_='foreignkey')
+    op.create_foreign_key(None, 'documents', 'users', ['uploaded_by'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['related_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', type_='foreignkey')
+    op.create_foreign_key(None, 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.drop_constraint(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.create_foreign_key(None, 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('operational_logs_user_id_fkey'), 'operational_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'operational_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='SET NULL')
+    op.drop_constraint(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'org_sales_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_sales_assignments', 'users', ['agent_user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.drop_constraint(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.create_foreign_key(None, 'org_subscriptions', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('organization_financials_organization_id_fkey'), 'organization_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_financials', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organization_members_user_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_organization_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_person_id_fkey'), 'organization_members', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_members', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organizations_owner_id_fkey'), 'organizations', type_='foreignkey')
+    op.drop_constraint(op.f('organizations_address_id_fkey'), 'organizations', type_='foreignkey')
+    op.create_foreign_key(None, 'organizations', 'users', ['owner_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organizations', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('pending_actions_approver_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.drop_constraint(op.f('pending_actions_requester_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['requester_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['approver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('persons_address_id_fkey'), 'persons', type_='foreignkey')
+    op.create_foreign_key(None, 'persons', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('points_ledger_user_id_fkey'), 'points_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'points_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('ratings_author_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_user_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_organization_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_branch_id_fkey'), 'ratings', type_='foreignkey')
+    op.create_foreign_key(None, 'ratings', 'users', ['target_user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'branches', ['target_branch_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'users', ['author_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'organizations', ['target_organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['actor_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['target_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.drop_constraint(op.f('service_expertises_service_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.create_foreign_key(None, 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_expertises', 'service_profiles', ['service_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_profiles_organization_id_fkey'), 'service_profiles', type_='foreignkey')
+    op.drop_constraint(op.f('service_profiles_parent_id_fkey'), 'service_profiles', type_='foreignkey')
+    op.create_foreign_key(None, 'service_profiles', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_profiles', 'service_profiles', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_specialties_parent_id_fkey'), 'service_specialties', type_='foreignkey')
+    op.create_foreign_key(None, 'service_specialties', 'service_specialties', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('social_accounts_user_id_fkey'), 'social_accounts', type_='foreignkey')
+    op.create_foreign_key(None, 'social_accounts', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.add_column('system_parameters', sa.Column('scope_level', sa.String(length=30), server_default=sa.text("'global'"), nullable=True))
+    op.add_column('system_parameters', sa.Column('scope_id', sa.String(length=50), nullable=True))
+    op.create_index(op.f('ix_data_system_parameters_scope_level'), 'system_parameters', ['scope_level'], unique=False, schema='data')
+    op.create_unique_constraint('uix_param_scope', 'system_parameters', ['key', 'scope_level', 'scope_id'], schema='data')
+    op.drop_constraint(op.f('user_badges_user_id_fkey'), 'user_badges', type_='foreignkey')
+    op.drop_constraint(op.f('user_badges_badge_id_fkey'), 'user_badges', type_='foreignkey')
+    op.create_foreign_key(None, 'user_badges', 'badges', ['badge_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'user_badges', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('user_stats_user_id_fkey'), 'user_stats', type_='foreignkey')
+    op.create_foreign_key(None, 'user_stats', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('users_person_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_current_sales_agent_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_referred_by_id_fkey'), 'users', type_='foreignkey')
+    op.create_foreign_key(None, 'users', 'users', ['current_sales_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'users', ['referred_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', type_='foreignkey')
+    op.create_foreign_key(None, 'verification_tokens', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.drop_constraint(op.f('wallets_user_id_fkey'), 'wallets', type_='foreignkey')
+    op.create_foreign_key(None, 'wallets', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(None, 'wallets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('wallets_user_id_fkey'), 'wallets', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'verification_tokens', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'])
+    op.drop_constraint(None, 'vehicle_catalog', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'])
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('users_referred_by_id_fkey'), 'users', 'users', ['referred_by_id'], ['id'])
+    op.create_foreign_key(op.f('users_current_sales_agent_id_fkey'), 'users', 'users', ['current_sales_agent_id'], ['id'])
+    op.create_foreign_key(op.f('users_person_id_fkey'), 'users', 'persons', ['person_id'], ['id'])
+    op.drop_constraint(None, 'user_stats', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_stats_user_id_fkey'), 'user_stats', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_badges_badge_id_fkey'), 'user_badges', 'badges', ['badge_id'], ['id'])
+    op.create_foreign_key(op.f('user_badges_user_id_fkey'), 'user_badges', 'users', ['user_id'], ['id'])
+    op.drop_constraint('uix_param_scope', 'system_parameters', schema='data', type_='unique')
+    op.drop_index(op.f('ix_data_system_parameters_scope_level'), table_name='system_parameters', schema='data')
+    op.drop_column('system_parameters', 'scope_id')
+    op.drop_column('system_parameters', 'scope_level')
+    op.drop_constraint(None, 'social_accounts', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('social_accounts_user_id_fkey'), 'social_accounts', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'service_specialties', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_specialties_parent_id_fkey'), 'service_specialties', 'service_specialties', ['parent_id'], ['id'])
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_profiles_parent_id_fkey'), 'service_profiles', 'service_profiles', ['parent_id'], ['id'])
+    op.create_foreign_key(op.f('service_profiles_organization_id_fkey'), 'service_profiles', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_expertises_service_id_fkey'), 'service_expertises', 'service_profiles', ['service_id'], ['id'])
+    op.create_foreign_key(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'])
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', 'users', ['target_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', 'users', ['actor_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'])
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('ratings_target_branch_id_fkey'), 'ratings', 'branches', ['target_branch_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_target_organization_id_fkey'), 'ratings', 'organizations', ['target_organization_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_target_user_id_fkey'), 'ratings', 'users', ['target_user_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_author_id_fkey'), 'ratings', 'users', ['author_id'], ['id'])
+    op.drop_constraint(None, 'points_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('points_ledger_user_id_fkey'), 'points_ledger', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'persons', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('persons_address_id_fkey'), 'persons', 'addresses', ['address_id'], ['id'])
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('pending_actions_requester_id_fkey'), 'pending_actions', 'users', ['requester_id'], ['id'])
+    op.create_foreign_key(op.f('pending_actions_approver_id_fkey'), 'pending_actions', 'users', ['approver_id'], ['id'])
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organizations_address_id_fkey'), 'organizations', 'addresses', ['address_id'], ['id'])
+    op.create_foreign_key(op.f('organizations_owner_id_fkey'), 'organizations', 'users', ['owner_id'], ['id'])
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_members_person_id_fkey'), 'organization_members', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_organization_id_fkey'), 'organization_members', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_user_id_fkey'), 'organization_members', 'users', ['user_id'], ['id'])
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_financials_organization_id_fkey'), 'organization_financials', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'])
+    op.create_foreign_key(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', 'users', ['agent_user_id'], ['id'])
+    op.create_foreign_key(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'operational_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('operational_logs_user_id_fkey'), 'operational_logs', 'users', ['user_id'], ['id'], ondelete='SET NULL')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'])
+    op.create_foreign_key(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'])
+    op.drop_constraint(None, 'geo_streets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', 'users', ['related_agent_id'], ['id'])
+    op.drop_constraint(None, 'feature_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.drop_constraint(None, 'documents', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('documents_uploaded_by_fkey'), 'documents', 'users', ['uploaded_by'], ['id'])
+    op.drop_constraint(None, 'credit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('credit_logs_org_id_fkey'), 'credit_logs', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('branches_organization_id_fkey'), 'branches', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('branches_address_id_fkey'), 'branches', 'addresses', ['address_id'], ['id'])
+    op.drop_constraint(None, 'audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('audit_logs_user_id_fkey'), 'audit_logs', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('assets_operator_person_id_fkey'), 'assets', 'persons', ['operator_person_id'], ['id'])
+    op.create_foreign_key(op.f('assets_catalog_id_fkey'), 'assets', 'vehicle_catalog', ['catalog_id'], ['id'])
+    op.create_foreign_key(op.f('assets_owner_person_id_fkey'), 'assets', 'persons', ['owner_person_id'], ['id'])
+    op.create_foreign_key(op.f('assets_owner_org_id_fkey'), 'assets', 'organizations', ['owner_org_id'], ['id'])
+    op.create_foreign_key(op.f('assets_current_organization_id_fkey'), 'assets', 'organizations', ['current_organization_id'], ['id'])
+    op.create_foreign_key(op.f('assets_operator_org_id_fkey'), 'assets', 'organizations', ['operator_org_id'], ['id'])
+    op.drop_constraint(None, 'asset_telemetry', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'asset_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_financials_asset_id_fkey'), 'asset_financials', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_events', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_events_asset_id_fkey'), 'asset_events', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_costs_driver_id_fkey'), 'asset_costs', 'users', ['driver_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_organization_id_fkey'), 'asset_costs', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_asset_id_fkey'), 'asset_costs', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', 'branches', ['branch_id'], ['id'])
+    op.drop_constraint(None, 'addresses', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('addresses_postal_code_id_fkey'), 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    # ### end Alembic commands ###

backend/migrations/versions/d362d1cb0b38_unified_master_schema_v1_3_2.py

@@ -0,0 +1,373 @@
+"""Unified Master Schema v1.3.2
+
+Revision ID: d362d1cb0b38
+Revises: 492a65da864d
+Create Date: 2026-02-18 23:00:05.907043
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision: str = 'd362d1cb0b38'
+down_revision: Union[str, Sequence[str], None] = '492a65da864d'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('ratings',
+    sa.Column('id', sa.Integer(), nullable=False),
+    sa.Column('author_id', sa.Integer(), nullable=False),
+    sa.Column('target_organization_id', sa.Integer(), nullable=True),
+    sa.Column('target_user_id', sa.Integer(), nullable=True),
+    sa.Column('target_branch_id', sa.UUID(), nullable=True),
+    sa.Column('score', sa.Numeric(precision=3, scale=2), nullable=False),
+    sa.Column('comment', sa.Text(), nullable=True),
+    sa.Column('images', postgresql.JSONB(astext_type=sa.Text()), server_default=sa.text("'[]'::jsonb"), nullable=True),
+    sa.Column('is_verified', sa.Boolean(), nullable=True),
+    sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=True),
+    sa.ForeignKeyConstraint(['author_id'], ['data.users.id'], ),
+    sa.ForeignKeyConstraint(['target_branch_id'], ['data.branches.id'], ),
+    sa.ForeignKeyConstraint(['target_organization_id'], ['data.organizations.id'], ),
+    sa.ForeignKeyConstraint(['target_user_id'], ['data.users.id'], ),
+    sa.PrimaryKeyConstraint('id'),
+    schema='data'
+    )
+    op.create_index('idx_rating_branch', 'ratings', ['target_branch_id'], unique=False, schema='data')
+    op.create_index('idx_rating_org', 'ratings', ['target_organization_id'], unique=False, schema='data')
+    op.create_index('idx_rating_user', 'ratings', ['target_user_id'], unique=False, schema='data')
+    op.drop_constraint(op.f('addresses_postal_code_id_fkey'), 'addresses', type_='foreignkey')
+    op.create_foreign_key(None, 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_assignments', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'branches', ['branch_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_costs_organization_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_driver_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_asset_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_costs', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'users', ['driver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_events_asset_id_fkey'), 'asset_events', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_events', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_financials_asset_id_fkey'), 'asset_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_financials', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.drop_constraint(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_reviews', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_reviews', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_telemetry', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('assets_current_organization_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_catalog_id_fkey'), 'assets', type_='foreignkey')
+    op.create_foreign_key(None, 'assets', 'organizations', ['current_organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'vehicle_catalog', ['catalog_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('audit_logs_user_id_fkey'), 'audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'audit_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('branches_address_id_fkey'), 'branches', type_='foreignkey')
+    op.drop_constraint(op.f('branches_organization_id_fkey'), 'branches', type_='foreignkey')
+    op.create_foreign_key(None, 'branches', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'branches', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('credit_logs_org_id_fkey'), 'credit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'credit_logs', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('documents_uploaded_by_fkey'), 'documents', type_='foreignkey')
+    op.create_foreign_key(None, 'documents', 'users', ['uploaded_by'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'financial_ledger', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['related_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', type_='foreignkey')
+    op.create_foreign_key(None, 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.drop_constraint(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.create_foreign_key(None, 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('operational_logs_user_id_fkey'), 'operational_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'operational_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='SET NULL')
+    op.drop_constraint(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'org_sales_assignments', 'users', ['agent_user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_sales_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.drop_constraint(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.create_foreign_key(None, 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_subscriptions', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('organization_financials_organization_id_fkey'), 'organization_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_financials', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organization_members_person_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_organization_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_user_id_fkey'), 'organization_members', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_members', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.add_column('organizations', sa.Column('is_anonymized', sa.Boolean(), server_default=sa.text('false'), nullable=True))
+    op.add_column('organizations', sa.Column('anonymized_at', sa.DateTime(timezone=True), nullable=True))
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organizations_address_id_fkey'), 'organizations', type_='foreignkey')
+    op.drop_constraint(op.f('organizations_owner_id_fkey'), 'organizations', type_='foreignkey')
+    op.create_foreign_key(None, 'organizations', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organizations', 'users', ['owner_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('pending_actions_requester_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.drop_constraint(op.f('pending_actions_approver_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['requester_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['approver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('persons_address_id_fkey'), 'persons', type_='foreignkey')
+    op.create_foreign_key(None, 'persons', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('points_ledger_user_id_fkey'), 'points_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'points_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['target_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['actor_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.drop_constraint(op.f('service_expertises_service_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.create_foreign_key(None, 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_expertises', 'service_profiles', ['service_id'], ['id'], source_schema='data', referent_schema='data')
+    op.add_column('service_profiles', sa.Column('parent_id', sa.Integer(), nullable=True))
+    op.add_column('service_profiles', sa.Column('fingerprint', sa.String(length=255), nullable=True))
+    op.add_column('service_profiles', sa.Column('vibe_analysis', postgresql.JSONB(astext_type=sa.Text()), server_default=sa.text("'{}'::jsonb"), nullable=True))
+    op.add_column('service_profiles', sa.Column('social_links', postgresql.JSONB(astext_type=sa.Text()), server_default=sa.text("'{}'::jsonb"), nullable=True))
+    op.add_column('service_profiles', sa.Column('contact_email', sa.String(), nullable=True))
+    op.add_column('service_profiles', sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=True))
+    op.add_column('service_profiles', sa.Column('updated_at', sa.DateTime(timezone=True), nullable=True))
+    op.execute("UPDATE data.service_profiles SET fingerprint = 'legacy_' || id::text")
+    op.alter_column('service_profiles', 'fingerprint', nullable=False)
+    op.alter_column('service_profiles', 'verification_log',
+               existing_type=postgresql.JSON(astext_type=sa.Text()),
+               type_=postgresql.JSONB(astext_type=sa.Text()),
+               existing_nullable=True,
+               existing_server_default=sa.text("'{}'::jsonb"))
+    op.alter_column('service_profiles', 'opening_hours',
+               existing_type=postgresql.JSON(astext_type=sa.Text()),
+               type_=postgresql.JSONB(astext_type=sa.Text()),
+               existing_nullable=True,
+               existing_server_default=sa.text("'{}'::jsonb"))
+    op.create_index('idx_service_fingerprint', 'service_profiles', ['fingerprint'], unique=True, schema='data')
+    op.create_index(op.f('ix_data_service_profiles_fingerprint'), 'service_profiles', ['fingerprint'], unique=False, schema='data')
+    op.drop_constraint(op.f('service_profiles_organization_id_fkey'), 'service_profiles', type_='foreignkey')
+    op.create_foreign_key(None, 'service_profiles', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_profiles', 'service_profiles', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_specialties_parent_id_fkey'), 'service_specialties', type_='foreignkey')
+    op.create_foreign_key(None, 'service_specialties', 'service_specialties', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    
+    op.add_column('service_staging', sa.Column('fingerprint', sa.String(length=255), nullable=True), schema='data')
+    op.execute("UPDATE data.service_staging SET fingerprint = 'staging_' || id::text")
+    op.alter_column('service_staging', 'fingerprint', nullable=False, schema='data')
+
+    op.create_index('idx_staging_fingerprint', 'service_staging', ['fingerprint'], unique=True, schema='data')
+    op.drop_constraint(op.f('social_accounts_user_id_fkey'), 'social_accounts', type_='foreignkey')
+    op.create_foreign_key(None, 'social_accounts', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.drop_constraint(op.f('user_badges_badge_id_fkey'), 'user_badges', type_='foreignkey')
+    op.drop_constraint(op.f('user_badges_user_id_fkey'), 'user_badges', type_='foreignkey')
+    op.create_foreign_key(None, 'user_badges', 'badges', ['badge_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'user_badges', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('user_stats_user_id_fkey'), 'user_stats', type_='foreignkey')
+    op.create_foreign_key(None, 'user_stats', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('users_referred_by_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_current_sales_agent_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_person_id_fkey'), 'users', type_='foreignkey')
+    op.create_foreign_key(None, 'users', 'users', ['referred_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'users', ['current_sales_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', type_='foreignkey')
+    op.create_foreign_key(None, 'verification_tokens', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.drop_constraint(op.f('wallets_user_id_fkey'), 'wallets', type_='foreignkey')
+    op.create_foreign_key(None, 'wallets', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(None, 'wallets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('wallets_user_id_fkey'), 'wallets', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'verification_tokens', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.drop_constraint(None, 'vehicle_catalog', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'])
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('users_person_id_fkey'), 'users', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('users_current_sales_agent_id_fkey'), 'users', 'users', ['current_sales_agent_id'], ['id'])
+    op.create_foreign_key(op.f('users_referred_by_id_fkey'), 'users', 'users', ['referred_by_id'], ['id'])
+    op.drop_constraint(None, 'user_stats', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_stats_user_id_fkey'), 'user_stats', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_badges_user_id_fkey'), 'user_badges', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('user_badges_badge_id_fkey'), 'user_badges', 'badges', ['badge_id'], ['id'])
+    op.drop_constraint(None, 'social_accounts', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('social_accounts_user_id_fkey'), 'social_accounts', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_index('idx_staging_fingerprint', table_name='service_staging', schema='data')
+    op.drop_column('service_staging', 'fingerprint')
+    op.drop_constraint(None, 'service_specialties', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_specialties_parent_id_fkey'), 'service_specialties', 'service_specialties', ['parent_id'], ['id'])
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_profiles_organization_id_fkey'), 'service_profiles', 'organizations', ['organization_id'], ['id'])
+    op.drop_index(op.f('ix_data_service_profiles_fingerprint'), table_name='service_profiles', schema='data')
+    op.drop_index('idx_service_fingerprint', table_name='service_profiles', schema='data')
+    op.alter_column('service_profiles', 'opening_hours',
+               existing_type=postgresql.JSONB(astext_type=sa.Text()),
+               type_=postgresql.JSON(astext_type=sa.Text()),
+               existing_nullable=True,
+               existing_server_default=sa.text("'{}'::jsonb"))
+    op.alter_column('service_profiles', 'verification_log',
+               existing_type=postgresql.JSONB(astext_type=sa.Text()),
+               type_=postgresql.JSON(astext_type=sa.Text()),
+               existing_nullable=True,
+               existing_server_default=sa.text("'{}'::jsonb"))
+    op.drop_column('service_profiles', 'updated_at')
+    op.drop_column('service_profiles', 'created_at')
+    op.drop_column('service_profiles', 'contact_email')
+    op.drop_column('service_profiles', 'social_links')
+    op.drop_column('service_profiles', 'vibe_analysis')
+    op.drop_column('service_profiles', 'fingerprint')
+    op.drop_column('service_profiles', 'parent_id')
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_expertises_service_id_fkey'), 'service_expertises', 'service_profiles', ['service_id'], ['id'])
+    op.create_foreign_key(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'])
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', 'users', ['actor_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', 'users', ['target_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'])
+    op.drop_constraint(None, 'points_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('points_ledger_user_id_fkey'), 'points_ledger', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'persons', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('persons_address_id_fkey'), 'persons', 'addresses', ['address_id'], ['id'])
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('pending_actions_approver_id_fkey'), 'pending_actions', 'users', ['approver_id'], ['id'])
+    op.create_foreign_key(op.f('pending_actions_requester_id_fkey'), 'pending_actions', 'users', ['requester_id'], ['id'])
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organizations_owner_id_fkey'), 'organizations', 'users', ['owner_id'], ['id'])
+    op.create_foreign_key(op.f('organizations_address_id_fkey'), 'organizations', 'addresses', ['address_id'], ['id'])
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               existing_nullable=True)
+    op.drop_column('organizations', 'anonymized_at')
+    op.drop_column('organizations', 'is_anonymized')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_members_user_id_fkey'), 'organization_members', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_organization_id_fkey'), 'organization_members', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_person_id_fkey'), 'organization_members', 'persons', ['person_id'], ['id'])
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_financials_organization_id_fkey'), 'organization_financials', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'])
+    op.create_foreign_key(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', 'users', ['agent_user_id'], ['id'])
+    op.drop_constraint(None, 'operational_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('operational_logs_user_id_fkey'), 'operational_logs', 'users', ['user_id'], ['id'], ondelete='SET NULL')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'])
+    op.create_foreign_key(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'])
+    op.drop_constraint(None, 'geo_streets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', 'users', ['related_agent_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'feature_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.drop_constraint(None, 'documents', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('documents_uploaded_by_fkey'), 'documents', 'users', ['uploaded_by'], ['id'])
+    op.drop_constraint(None, 'credit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('credit_logs_org_id_fkey'), 'credit_logs', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('branches_organization_id_fkey'), 'branches', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('branches_address_id_fkey'), 'branches', 'addresses', ['address_id'], ['id'])
+    op.drop_constraint(None, 'audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('audit_logs_user_id_fkey'), 'audit_logs', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('assets_catalog_id_fkey'), 'assets', 'vehicle_catalog', ['catalog_id'], ['id'])
+    op.create_foreign_key(op.f('assets_current_organization_id_fkey'), 'assets', 'organizations', ['current_organization_id'], ['id'])
+    op.drop_constraint(None, 'asset_telemetry', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'asset_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_financials_asset_id_fkey'), 'asset_financials', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_events', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_events_asset_id_fkey'), 'asset_events', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_costs_asset_id_fkey'), 'asset_costs', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_driver_id_fkey'), 'asset_costs', 'users', ['driver_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_organization_id_fkey'), 'asset_costs', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', 'branches', ['branch_id'], ['id'])
+    op.drop_constraint(None, 'addresses', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('addresses_postal_code_id_fkey'), 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    op.drop_index('idx_rating_user', table_name='ratings', schema='data')
+    op.drop_index('idx_rating_org', table_name='ratings', schema='data')
+    op.drop_index('idx_rating_branch', table_name='ratings', schema='data')
+    op.drop_table('ratings', schema='data')
+    # ### end Alembic commands ###

backend/migrations/versions/dd910cabe24e_add_ownership_twin_and_gdpr_uuid.py

@@ -0,0 +1,344 @@
+"""add_ownership_twin_and_gdpr_uuid
+
+Revision ID: dd910cabe24e
+Revises: 54cbd5c9e003
+Create Date: 2026-02-21 07:57:20.406746
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision: str = 'dd910cabe24e'
+down_revision: Union[str, Sequence[str], None] = '54cbd5c9e003'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(op.f('addresses_postal_code_id_fkey'), 'addresses', type_='foreignkey')
+    op.create_foreign_key(None, 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_assignments', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'branches', ['branch_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.add_column('asset_costs', sa.Column('registration_uuid', sa.UUID(), nullable=True))
+    op.create_index(op.f('ix_data_asset_costs_registration_uuid'), 'asset_costs', ['registration_uuid'], unique=False, schema='data')
+    op.drop_constraint(op.f('asset_costs_driver_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_organization_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.drop_constraint(op.f('asset_costs_asset_id_fkey'), 'asset_costs', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_costs', 'users', ['driver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_costs', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.add_column('asset_events', sa.Column('registration_uuid', sa.UUID(), nullable=True))
+    op.create_index(op.f('ix_data_asset_events_registration_uuid'), 'asset_events', ['registration_uuid'], unique=False, schema='data')
+    op.drop_constraint(op.f('asset_events_asset_id_fkey'), 'asset_events', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_events', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_financials_asset_id_fkey'), 'asset_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_financials', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.drop_constraint(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_reviews', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'asset_reviews', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', type_='foreignkey')
+    op.create_foreign_key(None, 'asset_telemetry', 'assets', ['asset_id'], ['id'], source_schema='data', referent_schema='data')
+    op.add_column('assets', sa.Column('registration_uuid', sa.UUID(), nullable=False))
+    op.add_column('assets', sa.Column('is_corporate', sa.Boolean(), server_default=sa.text('false'), nullable=True))
+    op.add_column('assets', sa.Column('owner_person_id', sa.BigInteger(), nullable=True))
+    op.add_column('assets', sa.Column('owner_org_id', sa.Integer(), nullable=True))
+    op.add_column('assets', sa.Column('operator_person_id', sa.BigInteger(), nullable=True))
+    op.add_column('assets', sa.Column('operator_org_id', sa.Integer(), nullable=True))
+    op.create_index(op.f('ix_data_assets_registration_uuid'), 'assets', ['registration_uuid'], unique=False, schema='data')
+    op.drop_constraint(op.f('assets_current_organization_id_fkey'), 'assets', type_='foreignkey')
+    op.drop_constraint(op.f('assets_catalog_id_fkey'), 'assets', type_='foreignkey')
+    op.create_foreign_key(None, 'assets', 'organizations', ['operator_org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'organizations', ['owner_org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'organizations', ['current_organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'persons', ['owner_person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'persons', ['operator_person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'assets', 'vehicle_catalog', ['catalog_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('audit_logs_user_id_fkey'), 'audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'audit_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('branches_address_id_fkey'), 'branches', type_='foreignkey')
+    op.drop_constraint(op.f('branches_organization_id_fkey'), 'branches', type_='foreignkey')
+    op.create_foreign_key(None, 'branches', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'branches', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('credit_logs_org_id_fkey'), 'credit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'credit_logs', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('documents_uploaded_by_fkey'), 'documents', type_='foreignkey')
+    op.create_foreign_key(None, 'documents', 'users', ['uploaded_by'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.drop_constraint(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'financial_ledger', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['related_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'financial_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', type_='foreignkey')
+    op.create_foreign_key(None, 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.drop_constraint(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', type_='foreignkey')
+    op.create_foreign_key(None, 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('operational_logs_user_id_fkey'), 'operational_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'operational_logs', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='SET NULL')
+    op.drop_constraint(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.drop_constraint(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', type_='foreignkey')
+    op.create_foreign_key(None, 'org_sales_assignments', 'users', ['agent_user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_sales_assignments', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.drop_constraint(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', type_='foreignkey')
+    op.create_foreign_key(None, 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'org_subscriptions', 'organizations', ['org_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('organization_financials_organization_id_fkey'), 'organization_financials', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_financials', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organization_members_user_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_person_id_fkey'), 'organization_members', type_='foreignkey')
+    op.drop_constraint(op.f('organization_members_organization_id_fkey'), 'organization_members', type_='foreignkey')
+    op.create_foreign_key(None, 'organization_members', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organization_members', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               existing_nullable=True)
+    op.drop_constraint(op.f('organizations_address_id_fkey'), 'organizations', type_='foreignkey')
+    op.drop_constraint(op.f('organizations_owner_id_fkey'), 'organizations', type_='foreignkey')
+    op.create_foreign_key(None, 'organizations', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'organizations', 'users', ['owner_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('pending_actions_approver_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.drop_constraint(op.f('pending_actions_requester_id_fkey'), 'pending_actions', type_='foreignkey')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['requester_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'pending_actions', 'users', ['approver_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('persons_address_id_fkey'), 'persons', type_='foreignkey')
+    op.create_foreign_key(None, 'persons', 'addresses', ['address_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('points_ledger_user_id_fkey'), 'points_ledger', type_='foreignkey')
+    op.create_foreign_key(None, 'points_ledger', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('ratings_author_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_organization_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_branch_id_fkey'), 'ratings', type_='foreignkey')
+    op.drop_constraint(op.f('ratings_target_user_id_fkey'), 'ratings', type_='foreignkey')
+    op.create_foreign_key(None, 'ratings', 'users', ['target_user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'users', ['author_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'organizations', ['target_organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'ratings', 'branches', ['target_branch_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.drop_constraint(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', type_='foreignkey')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['actor_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['target_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.drop_constraint(op.f('service_expertises_service_id_fkey'), 'service_expertises', type_='foreignkey')
+    op.create_foreign_key(None, 'service_expertises', 'service_profiles', ['service_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_profiles_organization_id_fkey'), 'service_profiles', type_='foreignkey')
+    op.drop_constraint(op.f('service_profiles_parent_id_fkey'), 'service_profiles', type_='foreignkey')
+    op.create_foreign_key(None, 'service_profiles', 'service_profiles', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'service_profiles', 'organizations', ['organization_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('service_specialties_parent_id_fkey'), 'service_specialties', type_='foreignkey')
+    op.create_foreign_key(None, 'service_specialties', 'service_specialties', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('social_accounts_user_id_fkey'), 'social_accounts', type_='foreignkey')
+    op.create_foreign_key(None, 'social_accounts', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.drop_constraint(op.f('user_badges_user_id_fkey'), 'user_badges', type_='foreignkey')
+    op.drop_constraint(op.f('user_badges_badge_id_fkey'), 'user_badges', type_='foreignkey')
+    op.create_foreign_key(None, 'user_badges', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'user_badges', 'badges', ['badge_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('user_stats_user_id_fkey'), 'user_stats', type_='foreignkey')
+    op.create_foreign_key(None, 'user_stats', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('users_referred_by_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_current_sales_agent_id_fkey'), 'users', type_='foreignkey')
+    op.drop_constraint(op.f('users_person_id_fkey'), 'users', type_='foreignkey')
+    op.create_foreign_key(None, 'users', 'users', ['referred_by_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'persons', ['person_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'users', 'users', ['current_sales_agent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.drop_constraint(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', type_='foreignkey')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    op.create_foreign_key(None, 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'], source_schema='data', referent_schema='data')
+    op.drop_constraint(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', type_='foreignkey')
+    op.create_foreign_key(None, 'verification_tokens', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data', ondelete='CASCADE')
+    op.drop_constraint(op.f('wallets_user_id_fkey'), 'wallets', type_='foreignkey')
+    op.create_foreign_key(None, 'wallets', 'users', ['user_id'], ['id'], source_schema='data', referent_schema='data')
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint(None, 'wallets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('wallets_user_id_fkey'), 'wallets', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'verification_tokens', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('verification_tokens_user_id_fkey'), 'verification_tokens', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_ownerships', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_ownerships_vehicle_id_fkey'), 'vehicle_ownerships', 'assets', ['vehicle_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_ownerships_user_id_fkey'), 'vehicle_ownerships', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'vehicle_model_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_model_definitions_parent_id_fkey'), 'vehicle_model_definitions', 'vehicle_model_definitions', ['parent_id'], ['id'])
+    op.create_foreign_key(op.f('vehicle_model_definitions_vehicle_type_id_fkey'), 'vehicle_model_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.drop_constraint(None, 'vehicle_catalog', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('vehicle_catalog_master_definition_id_fkey'), 'vehicle_catalog', 'vehicle_model_definitions', ['master_definition_id'], ['id'])
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'users', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('users_person_id_fkey'), 'users', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('users_current_sales_agent_id_fkey'), 'users', 'users', ['current_sales_agent_id'], ['id'])
+    op.create_foreign_key(op.f('users_referred_by_id_fkey'), 'users', 'users', ['referred_by_id'], ['id'])
+    op.drop_constraint(None, 'user_stats', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_stats_user_id_fkey'), 'user_stats', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'user_badges', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('user_badges_badge_id_fkey'), 'user_badges', 'badges', ['badge_id'], ['id'])
+    op.create_foreign_key(op.f('user_badges_user_id_fkey'), 'user_badges', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'social_accounts', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('social_accounts_user_id_fkey'), 'social_accounts', 'users', ['user_id'], ['id'], ondelete='CASCADE')
+    op.drop_constraint(None, 'service_specialties', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_specialties_parent_id_fkey'), 'service_specialties', 'service_specialties', ['parent_id'], ['id'])
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_profiles', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_profiles_parent_id_fkey'), 'service_profiles', 'service_profiles', ['parent_id'], ['id'])
+    op.create_foreign_key(op.f('service_profiles_organization_id_fkey'), 'service_profiles', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'service_expertises', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('service_expertises_service_id_fkey'), 'service_expertises', 'service_profiles', ['service_id'], ['id'])
+    op.create_foreign_key(op.f('service_expertises_expertise_id_fkey'), 'service_expertises', 'expertise_tags', ['expertise_id'], ['id'])
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'security_audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('security_audit_logs_target_id_fkey'), 'security_audit_logs', 'users', ['target_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_confirmed_by_id_fkey'), 'security_audit_logs', 'users', ['confirmed_by_id'], ['id'])
+    op.create_foreign_key(op.f('security_audit_logs_actor_id_fkey'), 'security_audit_logs', 'users', ['actor_id'], ['id'])
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'ratings', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('ratings_target_user_id_fkey'), 'ratings', 'users', ['target_user_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_target_branch_id_fkey'), 'ratings', 'branches', ['target_branch_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_target_organization_id_fkey'), 'ratings', 'organizations', ['target_organization_id'], ['id'])
+    op.create_foreign_key(op.f('ratings_author_id_fkey'), 'ratings', 'users', ['author_id'], ['id'])
+    op.drop_constraint(None, 'points_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('points_ledger_user_id_fkey'), 'points_ledger', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'persons', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('persons_address_id_fkey'), 'persons', 'addresses', ['address_id'], ['id'])
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'pending_actions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('pending_actions_requester_id_fkey'), 'pending_actions', 'users', ['requester_id'], ['id'])
+    op.create_foreign_key(op.f('pending_actions_approver_id_fkey'), 'pending_actions', 'users', ['approver_id'], ['id'])
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organizations', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organizations_owner_id_fkey'), 'organizations', 'users', ['owner_id'], ['id'])
+    op.create_foreign_key(op.f('organizations_address_id_fkey'), 'organizations', 'addresses', ['address_id'], ['id'])
+    op.alter_column('organizations', 'org_type',
+               existing_type=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('individual', 'service', 'service_provider', 'fleet_owner', 'club', 'business', name='orgtype'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'organization_members', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_members_organization_id_fkey'), 'organization_members', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_person_id_fkey'), 'organization_members', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('organization_members_user_id_fkey'), 'organization_members', 'users', ['user_id'], ['id'])
+    op.alter_column('organization_members', 'role',
+               existing_type=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole', schema='data', inherit_schema=True),
+               type_=postgresql.ENUM('OWNER', 'ADMIN', 'FLEET_MANAGER', 'DRIVER', 'MECHANIC', 'RECEPTIONIST', name='orguserrole'),
+               existing_nullable=True)
+    op.drop_constraint(None, 'organization_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('organization_financials_organization_id_fkey'), 'organization_financials', 'organizations', ['organization_id'], ['id'])
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_subscriptions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_subscriptions_tier_id_fkey'), 'org_subscriptions', 'subscription_tiers', ['tier_id'], ['id'])
+    op.create_foreign_key(op.f('org_subscriptions_org_id_fkey'), 'org_subscriptions', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'org_sales_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('org_sales_assignments_organization_id_fkey'), 'org_sales_assignments', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('org_sales_assignments_agent_user_id_fkey'), 'org_sales_assignments', 'users', ['agent_user_id'], ['id'])
+    op.drop_constraint(None, 'operational_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('operational_logs_user_id_fkey'), 'operational_logs', 'users', ['user_id'], ['id'], ondelete='SET NULL')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'model_feature_maps', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('model_feature_maps_feature_id_fkey'), 'model_feature_maps', 'feature_definitions', ['feature_id'], ['id'])
+    op.create_foreign_key(op.f('model_feature_maps_model_id_fkey'), 'model_feature_maps', 'vehicle_model_definitions', ['model_id'], ['id'])
+    op.drop_constraint(None, 'geo_streets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('geo_streets_postal_code_id_fkey'), 'geo_streets', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'financial_ledger', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('financial_ledger_user_id_fkey'), 'financial_ledger', 'users', ['user_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_person_id_fkey'), 'financial_ledger', 'persons', ['person_id'], ['id'])
+    op.create_foreign_key(op.f('financial_ledger_related_agent_id_fkey'), 'financial_ledger', 'users', ['related_agent_id'], ['id'])
+    op.drop_constraint(None, 'feature_definitions', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('feature_definitions_vehicle_type_id_fkey'), 'feature_definitions', 'vehicle_types', ['vehicle_type_id'], ['id'])
+    op.drop_constraint(None, 'documents', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('documents_uploaded_by_fkey'), 'documents', 'users', ['uploaded_by'], ['id'])
+    op.drop_constraint(None, 'credit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('credit_logs_org_id_fkey'), 'credit_logs', 'organizations', ['org_id'], ['id'])
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'branches', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('branches_organization_id_fkey'), 'branches', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('branches_address_id_fkey'), 'branches', 'addresses', ['address_id'], ['id'])
+    op.drop_constraint(None, 'audit_logs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('audit_logs_user_id_fkey'), 'audit_logs', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'assets', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('assets_catalog_id_fkey'), 'assets', 'vehicle_catalog', ['catalog_id'], ['id'])
+    op.create_foreign_key(op.f('assets_current_organization_id_fkey'), 'assets', 'organizations', ['current_organization_id'], ['id'])
+    op.drop_index(op.f('ix_data_assets_registration_uuid'), table_name='assets', schema='data')
+    op.drop_column('assets', 'operator_org_id')
+    op.drop_column('assets', 'operator_person_id')
+    op.drop_column('assets', 'owner_org_id')
+    op.drop_column('assets', 'owner_person_id')
+    op.drop_column('assets', 'is_corporate')
+    op.drop_column('assets', 'registration_uuid')
+    op.drop_constraint(None, 'asset_telemetry', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_telemetry_asset_id_fkey'), 'asset_telemetry', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_reviews', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_reviews_asset_id_fkey'), 'asset_reviews', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_reviews_user_id_fkey'), 'asset_reviews', 'users', ['user_id'], ['id'])
+    op.drop_constraint(None, 'asset_financials', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_financials_asset_id_fkey'), 'asset_financials', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'asset_events', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_events_asset_id_fkey'), 'asset_events', 'assets', ['asset_id'], ['id'])
+    op.drop_index(op.f('ix_data_asset_events_registration_uuid'), table_name='asset_events', schema='data')
+    op.drop_column('asset_events', 'registration_uuid')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_costs', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_costs_asset_id_fkey'), 'asset_costs', 'assets', ['asset_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_organization_id_fkey'), 'asset_costs', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('asset_costs_driver_id_fkey'), 'asset_costs', 'users', ['driver_id'], ['id'])
+    op.drop_index(op.f('ix_data_asset_costs_registration_uuid'), table_name='asset_costs', schema='data')
+    op.drop_column('asset_costs', 'registration_uuid')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.drop_constraint(None, 'asset_assignments', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('asset_assignments_organization_id_fkey'), 'asset_assignments', 'organizations', ['organization_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_branch_id_fkey'), 'asset_assignments', 'branches', ['branch_id'], ['id'])
+    op.create_foreign_key(op.f('asset_assignments_asset_id_fkey'), 'asset_assignments', 'assets', ['asset_id'], ['id'])
+    op.drop_constraint(None, 'addresses', schema='data', type_='foreignkey')
+    op.create_foreign_key(op.f('addresses_postal_code_id_fkey'), 'addresses', 'geo_postal_codes', ['postal_code_id'], ['id'])
+    # ### end Alembic commands ###

backend/requirements.txt

@@ -26,3 +26,8 @@ cryptography
 GeoAlchemy2>=0.14.0
 google-generativeai
 google-genai
+rapidfuzz
+duckduckgo-search>=6.0.0
+Shapely>=2.0.0
+opencv-python-headless==4.9.0.80
+numpy<2.0.0

docker-compose.yml

@@ -5,14 +5,11 @@ services:
       context: ./backend
       dockerfile: Dockerfile
     container_name: service_finder_migrate
-    # Az env_file használatával a Docker automatikusan beemeli a változókat a konténerbe
-    # Nincs szükség a ${VARIABLE} formátumra az environment alatt, így elkerüljük a "blank string" hibát
     env_file: .env
     volumes:
       - ./backend:/app
     environment:
       - PYTHONPATH=/app
-    # Kényszerítjük az Alembic-et, hogy a .env-ben megadott MIGRATION_DATABASE_URL-t használja
     command: >
       bash -c "alembic upgrade head"
     networks:
@@ -69,7 +66,7 @@ services:
       - default
     restart: unless-stopped
 
-  # 5. FRONTEND (Vue/React)
+  # 5. FRONTEND
   service_frontend:
     build:
       context: ./frontend
@@ -87,8 +84,9 @@ services:
   # 6. KATALÓGUS ROBOT (Discovery)
   catalog_robot:
     build: ./backend
-    container_name: service_finder_robot_catalog
     command: python -u -m app.workers.catalog_robot
+    deploy:
+      replicas: 1
     volumes:
       - ./backend:/app
     env_file: .env
@@ -124,7 +122,6 @@ services:
     ports:
       - "5678:5678"
     env_file: .env
-    # Itt az n8n belső változóit hagyjuk, de a jelszót az env_file-ból fogja venni
     volumes:
       - ./n8n/data:/home/node/.n8n
     networks:
@@ -143,7 +140,7 @@ services:
     networks:
       - default
 
-  # 9. BROWSERLESS (Chrome for Scraping)
+  # 9. BROWSERLESS
   browserless:
     image: browserless/chrome:latest
     container_name: service_finder_browserless
@@ -153,11 +150,13 @@ services:
     networks:
       - default
 
-  # 10. TECHNIKAI ADATOK DÚSÍTÓ ROBOT (AI & RDW)
-  enricher_robot:
+  # 10. ROBOT 2.1 - RESEARCHER (Porszívó - Hálózati kutató)
+  # Mivel I/O bound (netre vár), futtathatjuk több példányban (pl. 3 szálon)
+  robot_researcher:
     build: ./backend
-    container_name: service_finder_robot_enricher
-    command: python -u -m app.workers.technical_enricher
+    command: python -u -m app.workers.researcher_v2_1
+    deploy:
+      replicas: 3
     volumes:
       - ./backend:/app
     env_file: .env
@@ -169,6 +168,70 @@ services:
       - shared_db_net
     restart: always
 
+  # 11. ROBOT 2.2 - ALCHEMIST (Vegyész - GPU AI dúsító)
+  # Ez használja a GPU-t, ebből általában 1 példány elég a VRAM miatt
+  robot_alchemist:
+    build: ./backend
+    command: python -u -m app.workers.alchemist_v2_2
+    deploy:
+      replicas: 1
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    volumes:
+      - ./backend:/app
+    env_file: .env
+    depends_on:
+      migrate:
+        condition: service_completed_successfully
+      ollama:
+        condition: service_started
+    networks:
+      - default
+      - shared_db_net
+    restart: always
+
+  # 12. AI a szerveren :)
+  ollama:
+    image: ollama/ollama:latest
+    container_name: service_finder_ollama
+    restart: always
+    volumes:
+      - ./ollama_data:/root/.ollama
+    ports:
+      - "11434:11434"
+    environment:
+      - OLLAMA_KEEP_ALIVE=24h
+      - OLLAMA_ORIGINS="*"
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    networks:
+      - default
+      - shared_db_net
+
+  # 13. VIN AUDITOR
+  vin_auditor:
+    build: ./backend
+    container_name: service_finder_vin_auditor
+    command: python -u -m app.workers.vin_auditor
+    restart: always
+    env_file: .env
+    depends_on:
+      ollama:
+        condition: service_started
+    networks:
+      - default
+      - shared_db_net
+
+
 networks:
   default:
     driver: bridge

docs/V02/000_Fejlesztendő_pontok.md

@@ -0,0 +1,222 @@
+Íme a hiányzó láncszemek, amiket ki kell dolgoznunk:
+
+🔗 1. Ajánlatkérés és Időpontfoglalás (Booking & Quoting Flow)
+A V01-ben: A 01-es dokumentum említi: "Marketplace: Szervizkereső, Ajánlatkérés, Időpontfoglalás."
+
+A Hiány: Az adatbázisban van service_profiles, branches, sőt pending_actions is, de nincs dedikált tábla/logika a foglalásokra és árajánlatokra.
+
+Amit meg kell írni: Hogyan kér a User ajánlatot? (Kiválasztja az autóját a garázsból -> leírja a hibát -> a rendszer kiküldi a 10 km-en belüli megfelelő expertise_tags-el rendelkező szervizeknek -> a szerviz ajánlatot ad -> User elfogadja -> bekerül az asset_events-be, mint jövőbeli esemény).
+
+🔗 2. Költség-taxonómia és "Munkába járás" (TCO & Accounting)
+A V01-ben: TCO (Total Cost of Ownership) számítás szerepel a PREMIUM csomagnál. Említetted a munkába járás elszámolását is.
+
+A Hiány: A data.asset_costs tábla létezik, de nincs definiálva a szigorú Költségkategória fa (üzemanyag, javítás, autópálya-matrica, biztosítás, értékcsökkenés).
+
+Amit meg kell írni: Fix kategória ID-k definiálása a frontend drop-down menüjéhez, illetve a Munkába járás modul logikája (Otthon-Munkahely távolság x Munkanapok száma x Állami/NAV norma = Havi adómentes térítés kalkulációja a B2B flottáknak).
+
+🔗 3. Az "Evidence Store" és az OCR Robot (Robot 3) Folyamata
+A V01-ben: A 22-es fájl említi a Robot 3-at (OCR & Document AI), ami feldolgozza a számlákat.
+
+A Hiány: Nincs technikai leírás arról, hogyan lesz a MinIO-ba feltöltött fotóból hitelesített szervizbejegyzés.
+
+Amit meg kell írni: A fotó feltöltésre kerül a documents táblába -> A Robot 3 (Gemini 2.0 Multimodal) kiolvassa a dátumot, összeget, km-órát és szerviz nevét -> Létrehoz egy asset_events rekordot unverified státusszal -> Összeköti a számlán lévő szervizt a service_profiles táblával -> Megadja a Gamification pontokat a Usernek.
+
+🔗 4. B2B Flotta Szerepkörök (Organization Members Logika)
+A V01-ben: A "Mindenki flottatulajdonos" elv megvan (Privát vs Céges flotta).
+
+A Hiány: A data.organization_members táblád létezik, de nincsenek definiálva a Flottán belüli szerepkörök.
+
+Amit meg kell írni: Ki mit láthat egy cégen belül?
+
+Fleet Manager (Admin): Látja az összes autót, minden költséget, ő veszi a Krediteket.
+
+Driver (Sofőr): Csak a rá szignált (asset_assignments) autót látja, tud tankolást (költséget) rögzíteni, de a cég egyenlegéhez nem fér hozzá.
+
+🔗 5. Telemetria és Futásteljesítmény (Odometer Tracking)
+A V01-ben: A data.asset_telemetry tábla bent van az adatbázisban, és a Prediktív naptárhoz (Robot 2.3) kell a km-óra állás.
+
+A Hiány: Honnan jön a km-óra állás, ha nincs OBD2 hardver bedugva az autóba?
+
+Amit meg kell írni: Az "Okos becslés" (Smart Odometer) algoritmusa. Minden tankolásnál (asset_costs) és szerviznél (asset_events) kötelező megadni a km-állást. A rendszer ebből számol egy napi átlagos futást, és ha hetekig nincs új adat, a háttérben "pörgeti" az órát, hogy a Robot 2.3 tudja, mikor kell szólni az olajcsere miatt.
+
+🚀 FEJLESZTÉSI IRÁNYTŰ ÉS ÜZLETI MODELL (V2.0)
+
+Ez a dokumentum rögzíti, hogy mit építünk meg azonnal az induláshoz (MVP), és mit hagyunk a skálázódási fázisra.
+I. FÁZIS: AZ INDULÓ CSOMAG (MVP - Minimum Viable Product)
+
+Ezek kellenek ahhoz, hogy a rendszer elinduljon, pénzt termeljen, és napi szinten használják a magánszemélyek és a KKV-k.
+1. Onboarding és Garázs (Asset Creation)
+
+Az első benyomás a legfontosabb. A felhasználó itt adja hozzá a járművét és az adatait.
+
+    FREE (Ingyenes): * Maximum 1 jármű rögzítése.
+
+        Adatok manuális bevitele (Rendszám / VIN alapján keresés a katalógusban).
+
+        Okmányok lejárati dátumának manuális rögzítése.
+
+    PREMIUM:
+
+        Több jármű (pl. 3-5 db) rögzítése.
+
+        Robot 3 "Magic Scan": A forgalmi engedély és a jogosítvány lefotózása -> az AI mindent automatikusan kitölt.
+
+        Dokumentumok titkosított tárolása a MinIO "Privát Széfben" (digitalizált irattárca).
+
+2. Smart Trip Logger & Munkába járás (A napi horog)
+
+Ez adja a napi használatot (DAU) és a KKV-k számára a fő értéket.
+
+    FREE: * Kézi Start/Stop gomb az utakhoz (GPS koordináták mentése).
+
+        Alapvető havi statisztika (megtett út km-ben).
+
+    PREMIUM:
+
+        Automata Munkába Járás Riport: A megadott Otthon-Munkahely cím alapján a ledolgozott napokból a hónap végén NAV-kompatibilis, adómentes költségtérítési PDF generálása.
+
+        Adaptív GPS útvonalrögzítés (ahogy korábban átbeszéltük).
+
+        Költségek (TCO) és tankolások kézi rögzítésének analitikája.
+
+3. Guardian & Gamification (Őrangyal és Játékosítás)
+
+A bizalomépítés és a proaktív segítség.
+
+    FREE: * Értesítés az okmányok (Jogsi, Forgalmi) lejártáról 30 nappal előtte.
+
+        Alap "Clean History" Badge (ha mindent kitölt).
+
+    PREMIUM:
+
+        Okos Szerviz Naptár: A Robot 2.3 a napi átlag futásból kiszámolja (Predikció), mikor kell olajat cserélni, és időben szól.
+
+        Napi/Heti "Checklist" értesítések (Mérj guminyomást!) -> Sikeres elvégzés esetén XP és Kredit jutalom (Gamification).
+
+⚙️ A PÉNZÜGYI MOTOR (The Economy Engine) - MVP Követelmény
+
+Ahogy említetted, az elv megvan (Triple Wallet), de a motort meg kell írni. Ennek a Backendben egy atombiztos, önálló modulként kell futnia (app/services/billing_engine.py).
+
+A Pénzügyi Motor 3 fő komponense:
+
+    A Stripe Webhook Receiver: * Amikor a User kifizeti a csomagot bankkártyával, a Stripe küld egy jelet a Backendnek (checkout.session.completed).
+
+        A motor ekkor felébred.
+
+    Az Atomi Tranzakció (Double-Entry Ledger):
+
+        A motor nem csak átírja a Wallet egyenlegét, hanem először beír egy sort a data.financial_ledger táblába (Főkönyv): "+5000 HUF befizetés, Stripe_ID_xyz".
+
+        Ezután hozzáadja a Krediteket a wallets.purchased_credits mezőhöz. A két lépés egy adatbázis-tranzakcióban (SQL COMMIT) fut: ha az egyik elszáll, a másik is visszagurul (Rollback). Nincs elveszett pénz.
+
+    A Subscription Cron-Job (Az Éjjeli Őr):
+
+        Egy ütemezett feladat minden éjjel 00:01-kor végignézi a users táblában a subscription_expires_at dátumokat.
+
+        Akinél lejárt a PREMIUM, annak a rendszer automatikusan leveszi a rangját FREE-re, kikapcsolja a PDF generálást, és zárolja a 2. és 3. autóját (Read-only módba teszi).
+
+II. FÁZIS: POST-LAUNCH (A skálázódás és a Szerviz-Szimbiózis)
+
+Ezek a funkciók elengedhetetlenek a vízióhoz, de az indulás napján nem kellenek. Akkor kezdjük el fejleszteni őket, amikor már van 1000+ aktív autósunk az adatokkal.
+4. Marketplace: Ajánlatkérés és Szervizkereső
+
+    Funkció: A User a Garázsból egy gombnyomással elküldi a hibát (pl. "Fékcsere") a 20 km-es körzetben lévő megbízható szervizeknek.
+
+    PREMIUM előny: A Premium userek ajánlatkérései "VIP" jelzéssel, a lista elején jelennek meg a szervizeknek.
+
+5. Service Pro Modul (A szerelők felülete)
+
+    Funkció: A szerelő beírja a rendszámot, és a Robot 2.2 által gyűjtött "Arany Adatok" (olajmennyiség, nyomatékok) megjelennek neki (Quick-Scan).
+
+    Kölcsönhatás: A szerelő nálunk rögzíti a munkalapot, ami azonnal bekerül az autó Hitelesített Digitális Szervizkönyvébe. Ezzel az autó "Trust Score"-ja (bizalmi indexe) az egekbe szökik.
+
+6. Deep Tech: Telemetria és AI Diagnosztika
+
+    Funkció: OBDII csatlakozó integráció a valós km-óra állás és hibakódok (DTC) olvasásához.
+
+    Kísérleti: G-erő mérése telefonnal (Vezetési stílus analitika) és AI Audio Engine (indítási hangból önindító/akku hiba predikciója). Ezt külön "Add-on" csomagként lehet értékesíteni a Flottakezelőknek.
+
+    🚀 FEJLESZTÉSI IRÁNYTŰ ÉS ÜZLETI MODELL (V2.0)
+
+Ez a dokumentum rögzíti, hogy mit építünk meg azonnal az induláshoz (MVP), és mit hagyunk a skálázódási fázisra.
+I. FÁZIS: AZ INDULÓ CSOMAG (MVP - Minimum Viable Product)
+
+Ezek kellenek ahhoz, hogy a rendszer elinduljon, pénzt termeljen, és napi szinten használják a magánszemélyek és a KKV-k.
+1. Onboarding és Garázs (Asset Creation)
+
+Az első benyomás a legfontosabb. A felhasználó itt adja hozzá a járművét és az adatait.
+
+    FREE (Ingyenes): * Maximum 1 jármű rögzítése.
+
+        Adatok manuális bevitele (Rendszám / VIN alapján keresés a katalógusban).
+
+        Okmányok lejárati dátumának manuális rögzítése.
+
+    PREMIUM:
+
+        Több jármű (pl. 3-5 db) rögzítése.
+
+        Robot 3 "Magic Scan": A forgalmi engedély és a jogosítvány lefotózása -> az AI mindent automatikusan kitölt.
+
+        Dokumentumok titkosított tárolása a MinIO "Privát Széfben" (digitalizált irattárca).
+
+2. Smart Trip Logger & Munkába járás (A napi horog)
+
+Ez adja a napi használatot (DAU) és a KKV-k számára a fő értéket.
+
+    FREE: * Kézi Start/Stop gomb az utakhoz (GPS koordináták mentése).
+
+        Alapvető havi statisztika (megtett út km-ben).
+
+    PREMIUM:
+
+        Automata Munkába Járás Riport: A megadott Otthon-Munkahely cím alapján a ledolgozott napokból a hónap végén NAV-kompatibilis, adómentes költségtérítési PDF generálása.
+
+        Adaptív GPS útvonalrögzítés (ahogy korábban átbeszéltük).
+
+        Költségek (TCO) és tankolások kézi rögzítésének analitikája.
+
+3. Guardian & Gamification (Őrangyal és Játékosítás)
+
+A bizalomépítés és a proaktív segítség.
+
+    FREE: * Értesítés az okmányok (Jogsi, Forgalmi) lejártáról 30 nappal előtte.
+
+        Alap "Clean History" Badge (ha mindent kitölt).
+
+    PREMIUM:
+
+        Okos Szerviz Naptár: A Robot 2.3 a napi átlag futásból kiszámolja (Predikció), mikor kell olajat cserélni, és időben szól.
+
+        Napi/Heti "Checklist" értesítések (Mérj guminyomást!) -> Sikeres elvégzés esetén XP és Kredit jutalom (Gamification).
+
+⚙️ A PÉNZÜGYI MOTOR (The Economy Engine) - MVP Követelmény
+
+Ahogy említetted, az elv megvan (Triple Wallet), de a motort meg kell írni. Ennek a Backendben egy atombiztos, önálló modulként kell futnia (app/services/billing_engine.py).
+
+A Pénzügyi Motor 3 fő komponense:
+
+    A Stripe Webhook Receiver: * Amikor a User kifizeti a csomagot bankkártyával, a Stripe küld egy jelet a Backendnek (checkout.session.completed).
+
+        A motor ekkor felébred.
+
+    Az Atomi Tranzakció (Double-Entry Ledger):
+
+        A motor nem csak átírja a Wallet egyenlegét, hanem először beír egy sort a data.financial_ledger táblába (Főkönyv): "+5000 HUF befizetés, Stripe_ID_xyz".
+
+        Ezután hozzáadja a Krediteket a wallets.purchased_credits mezőhöz. A két lépés egy adatbázis-tranzakcióban (SQL COMMIT) fut: ha az egyik elszáll, a másik is visszagurul (Rollback). Nincs elveszett pénz.
+
+    A Subscription Cron-Job (Az Éjjeli Őr):
+
+        Egy ütemezett feladat minden éjjel 00:01-kor végignézi a users táblában a subscription_expires_at dátumokat.
+
+        Akinél lejárt a PREMIUM, annak a rendszer automatikusan leveszi a rangját FREE-re, kikapcsolja a PDF generálást, és zárolja a 2. és 3. autóját (Read-only módba teszi).
+
+II. FÁZIS: POST-LAUNCH (A skálázódás és a Szerviz-Szimbiózis)
+
+Ezek a funkciók elengedhetetlenek a vízióhoz, de az indulás napján nem kellenek. Akkor kezdjük el fejleszteni őket, amikor már van 1000+ aktív autósunk az adatokkal.
+4. Marketplace: Ajánlatkérés és Szervizkereső
+
+    Funkció: A User a Garázsból egy gombnyomással elküldi a hibát (pl. "Fékcsere") a 20 km-es körzetben lévő megbízható szervizeknek.
+
+    PREMIUM előny: A Premium userek ajánlatkérései "VIP" jelzéssel, a lista elején jelennek meg a szervizeknek.

docs/V02/04_TCO_Költség-Taxonómia_&_Telemetria.md

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+# 24. TCO, Költség-Taxonómia & Telemetria (v2.0)
+
+Ez a dokumentum a járművek üzemeltetési költségeinek (Total Cost of Ownership), a telemetriai adatoknak és a speciális elszámolásoknak (pl. munkába járás) a logikáját rögzíti.
+
+## 24.1 Költség-Taxonómia (`data.asset_costs`)
+A rendszer szigorú kategóriarendszert használ a kiadások követésére. A frontend számára ezek a kategóriák fix azonosítóval (ID) rendelkeznek:
+
+1.  **Üzemanyag & Töltés (Fuel & EV):** Tankolások, villámtöltések.
+2.  **Karbantartás (Maintenance):** Kötelező szervizek, alkatrészek, munkadíjak.
+3.  **Adók & Díjak (Taxes & Fees):** Gépjárműadó, autópálya-matrica, biztosítás (KGFB, CASCO).
+4.  **Bírságok & Parkolás (Legal & Parking):** Parkolási díjak, gyorshajtás, pótdíjak.
+5.  **Értékcsökkenés (Depreciation):** Rendszer által becsült, vagy manuálisan megadott értékvesztés (csak PREMIUM/VIP szinten).
+
+## 24.2 "Munkába Járás" Modul (Commuting Allowance)
+A rendszer automatikusan számolja a munkavállalók adómentes költségtérítését a magánjármű céges használata után.
+- **Bemenet:** A `users` táblában rögzített Otthoni és Munkahelyi cím távolsága (Google Maps API / OSM alapján).
+- **Triggelés:** A felhasználó a naptárban (vagy gombnyomással) kijelöli az adott hónapban ledolgozott munkanapokat.
+- **Kalkuláció:** `Napi oda-vissza távolság (km) × Ledolgozott napok × Állami Norma (HUF/km)`.
+- **Kimenet:** Hó végén egy automatikus, exportálható PDF riport a bérszámfejtésnek.
+
+## 24.3 Smart Odometer (Okos Futásteljesítmény)
+Mivel nincs kötelező OBD2 hardver, a rendszer a `data.asset_telemetry` táblában egy okos algoritmust használ a kilométeróra állás (ODO) követésére:
+- **Horgonypontok:** Minden tankolás, szerviz vagy vizsga alkalmával kötelező/ajánlott megadni az aktuális km-állást.
+- **Napi Átlag (Daily Average):** A rendszer kiszámolja a két horgonypont között megtett napi átlagos távolságot.
+- **Predikció (Ghost Telemetry):** Ha 14 napig nincs új adat, a rendszer a Napi Átlag alapján "láthatatlanul pörgeti" az órát, hogy a Robot 2.3 (Guardian) időben tudja küldeni a szervizértesítéseket.

docs/V02/08_Marketplace_Ajánlatkérés_és_Időpontfoglalás.md

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+# 25. Marketplace: Ajánlatkérés és Időpontfoglalás (v2.0)
+
+Ez a modul írja le a Szervizkeresőből kiinduló tranzakciós folyamatot, amely összeköti a járműtulajdonost a szolgáltatókkal.
+
+## 25.1 A Foglalási Folyamat (Booking Flow)
+A kommunikáció aszinkron, és a `data.pending_actions` táblára épül.
+
+1.  **Igény (Service Request):** - A User kiválasztja az autóját a Garázsból (`asset_id`).
+    - Kiválasztja a probléma típusát (pl. "Fékcsere", "Éves szerviz") a `service_specialties` fa alapján.
+    - Csatolhat fotót vagy hangüzenetet (MinIO).
+2.  **Geofenced Broadcast:** - A rendszer megkeresi a User által megadott sugáron belül (pl. 20 km) lévő, a megfelelő `expertise_tags`-el rendelkező szervizeket (`branches`).
+    - A szervizek (Providers) push/email értesítést kapnak: "Új ajánlatkérés a közeledben".
+3.  **Ajánlatadás (Quoting):** - A Provider megad egy árat, egy időpontot és egy validálási lejárati időt.
+4.  **Elfogadás & Esemény (Acceptance):** - A User elfogadja az egyik ajánlatot. 
+    - Létrejön egy jövőbeli `asset_events` bejegyzés `status='scheduled'` jelzéssel.
+
+## 25.2 Trust és Lemondási Logika
+- **No-Show védelem:** Ha a User nem jelenik meg, a szerviz "No-show" gombot nyomhat. Ez 1 Penalty Point-ot ad a Person rekordhoz (csökkenti a Trust Score-t).
+- **Service Cancellation:** Ha a szerviz mondja le az utolsó pillanatban, a szerviz kap levonást az értékeléséből, a User pedig kompenzációs Kreditet kap.

docs/V02/09_Evidence_Store_&_Robot 3_(OCR_AI).md

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+# 26. Evidence Store & Robot 3 (OCR AI) (v2.0)
+
+A jármű történetének hitelesítése (Digitális Szervizkönyv) a bizonyítékokon (Evidence) alapul. 
+
+## 26.1 A Bizonyítékok Életciklusa
+1.  **Feltöltés:** A User lefotózza a számlát/munkalapot. A fájl titkosítva bekerül a MinIO objektumtárba, az adatbázisban pedig létrejön egy rekord a `data.documents` táblában.
+2.  **Feldolgozás (Robot 3):** A feltöltés egy eseményt (Webhook) indít az n8n felé, ami felébreszti a Robot 3-at (Gemini 2.0 Multimodal).
+3.  **Kinyerés (Extraction):** Az AI az alábbi adatokat bányássza ki a képből:
+    - `date`: A szerviz dátuma.
+    - `total_cost`: Bruttó végösszeg.
+    - `odometer`: Kilométeróra állása.
+    - `service_name / tax_number`: A szolgáltató adószáma vagy neve.
+
+## 26.2 Validációs Háló (Trust Matching)
+Miután a Robot 3 kinyerte az adatokat, a rendszer megpróbálja összekötni azokat a meglévő adatbázissal:
+- **Partner Match:** Ha a kibányászott adószám/név szerepel a `data.organizations` táblában (Regisztrált Szerviz), a rendszer azonnal értesíti a szervizt. Ha a szerviz jóváhagyja ("Igen, nálunk járt"), a bejegyzés **High Trust (Verified)** státuszt kap.
+- **Sufni / Non-Partner Match:** Ha a szerviz nincs a rendszerben, a bejegyzés **Medium Trust** státuszt kap (bizonyíték van, de nem partner).
+- **Gamification Jutalmazás:** Ha a feltöltés sikeres adatkinyerést eredményezett, a User +10 XP-t (Earned Credits) kap az adatrögzítésért.

docs/V02/11_B2B_Flotta_és_Szervezeti_Szerepkörök.md

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+# 27. B2B Flotta és Szervezeti Szerepkörök (v2.0)
+
+A rendszerben a privát flotta és a több ezer autós céges flotta technológiailag azonos (`data.organizations`), a különbséget a `data.organization_members` táblában lévő jogosultsági szintek adják.
+
+## 27.1 Céges Szerepkörök (Roles)
+Egy szervezeten (Company) belül az alábbi három fő szerepkör értelmezett:
+
+1.  **Owner (Cégtulajdonos / CEO):**
+    - Mindenhez hozzáfér, ő kötheti össze a céget a Stripe (fizetési) fiókkal.
+    - Látja a cég teljes egyenlegét (`wallets`), vehet Krediteket és oszthat ki Fleet Manager jogokat.
+2.  **Fleet Manager (Flottakezelő):**
+    - Látja a céghez rendelt összes járművet (`asset_assignments`).
+    - Látja a telemetriát, a költségeket (`asset_costs`) és a jövőbeli karbantartásokat.
+    - Új autót vehet fel a flottába, de Krediteket (pénzt) alapértelmezetten nem vásárolhat.
+3.  **Driver (Sofőr):**
+    - Kizárólag azokat az autókat látja, amelyek kifejezetten hozzá vannak rendelve az `asset_assignments` táblában (`driver_id`).
+    - Rögzíthet tankolást, feltölthet számlát (Evidence), de nem látja a cég többi autóját, és nincs hozzáférése a cég Pénztárcájához.
+
+## 27.2 Privát Szféra Izolációja
+Ha egy felhasználó (User) Driver-ként van hozzárendelve egy céges autóhoz, az ő saját, személyes autói (Privát Széf) teljesen láthatatlanok maradnak a Fleet Manager és a cégtulajdonos számára. A céges és privát adatok szigorú falakkal vannak elválasztva az API szintjén.

docs/V02/22_Robot_Ecosystem.md

@@ -31,3 +31,63 @@ A robotok az adatbázist használják "jelzőtáblának", elkerülve az ütköz
 2. **R2** dúsít és validál.
 3. **R3** (OCR) bizonyítékokat csatol a jármű életútjához.
 4. Minden művelet a `ProcessLog` táblában kerül rögzítésre az auditálhatóság érdekében.
+
+
+2026.02.18 Frissített Robot 2.0 Dúsítés több példányban
+# 🤖 TechEnricher Robot (v1.2.6) - Dokumentáció
+
+## 1. Célkitűzés
+A TechEnricher feladata a `data.vehicle_model_definitions` táblában található nyers, tisztítatlan járműadatok automatizált dúsítása technikai adatokkal (CCM, kW, Évjárat, Szervizintervallumok) és a duplikációk intelligens felszámolása.
+
+## 2. Technikai Architektúra
+- **Motor:** Python 3.10+ Asynchronous IO
+- **AI Integráció:** Google Gemini 2.0 Flash
+- **Adatbázis Logika:** SQLAlchemy 2.0 + PostgreSQL Row Level Locking
+- **Deduplikációs Kulcs:** `make` + `technical_code` + `vehicle_type`
+
+
+
+## 3. Kulcsfunkciók
+
+### 🛡️ Manuális Védelem (Manual Override)
+A robot soha nem írja felül a manuálisan rögzített adatokat. Ha a rekord `is_manual` mezője `true`, a folyamat érintetlenül hagyja azt.
+
+### 🔗 Intelligens Összefűzés (Smart Merge)
+Az egyediségi kényszerek (Unique Constraints) megsértése helyett a robot felismeri az ütközéseket:
+- Ha a technikai kód alapján már létezik rekord, az új bejegyzést `duplicate` státuszba helyezi.
+- Létrehozza a kapcsolatot a `parent_id` mezőn keresztül.
+- A Master rekord `synonyms` mezőjét automatikusan bővíti az új elnevezéssel.
+
+### 🛑 Anti-Loop és Hibakezelés
+- **Attempts:** Minden rekord maximum 3 esélyt kap.
+- **Last Error:** A hibás tranzakciók okát a robot elmenti a rekordhoz.
+- **Circuit Breaker:** 10 egymást követő kritikus hiba esetén a robot 15 percre "alvó üzemmódba" vált az API-kvóta védelme érdekében.
+
+
+
+## 4. Működési Sorrend (Logic Flow)
+1. **Fetch:** 20 rekord lekérése `SKIP LOCKED` módban.
+2. **Pre-Map:** Adatok kimentése memóriába (Greenlet védelem).
+3. **Group:** Csoportosítás márkák/modellek szerint.
+4. **Enrich:** AI vagy Belső Cache hívás.
+5. **Validate:** Sanity check a technikai adatokra.
+6. **Commit:** Tranzakció mentése (Master/Duplicate logika szerint).
+
+## 5. Skálázás
+A robot felkészített a horizontális skálázásra:
+```bash
+docker compose up -d --scale enricher_robot=3
+
+🤖 22.0 Robot 0: The Strategist (Market Prioritizer)Cél: A feldolgozási sorrend optimalizálása a piaci relevancia alapján.Logika: Lekéri a külső források (pl. RDW) statisztikáit, és darabszám szerint rangsorolja a márkákat.Működés: 1.  Kategóriákra bont (Személyautó > Motor > Teherautó > Egyéb).2.  Feltölti/Frissíti a data.catalog_discovery táblát.3.  Biztosítja, hogy a Robot 1 a legnépszerűbb modellekkel kezdjen.
+
+🤖 22.1 Robot 1: The Hunter (Paginator v2.4)Cél: Strukturált jármű-variánsok tömeges importálása.Működés: - Recon: Megszámolja az adott márkához tartozó összes rekordot ($select=count(*)).Paging: 1000-es csomagokban, módszeresen végiglapozza a teljes adatbázist.Deduplikáció: Csak az egyedi technikai variánsokat (Márka + Modell + ccm + kW) menti el a data.vehicle_model_definitions táblába.
+
+🤖 22.2 Robot 2.1: The Researcher (Industrial-v2.1)Cél: Technikai kontextus és szervizspecifikációk "porszívózása" az internetről.Működés:DuckDuckGo/Google Search segítségével adatokat gyűjt: olajmennyiség, viszkozitás, gumiabroncs nyomás, vezérlés csereperiódus, gyújtógyertya típus.A nyers szöveget a raw_search_context mezőben tárolja el a későbbi feldolgozáshoz.
+
+🤖 22.3 Robot 2.2: The Alchemist (AI-Gold v2.2)Cél: A kutatott szövegek strukturált JSON-ná (Arannyá) alakítása.Működés:LLM (Ollama/Gemini) segítségével kinyeri a technikai adatokat a kutatási kontextusból.Factory Data Mapping: Betölti a data.vehicle_catalog táblába a végleges adatokat.Validation: Ha az adat ellentmondásos, manual_review státuszba helyezi a rekordot.
+
+🤖 22.4 Robot 2.3: The Guardian (Predictive Notifier)Cél: Napi monitorozás és prediktív értesítések generálása (07:00-08:00 UTC).Logika: - Okmányfigyelő: Figyeli a data.assets és data.persons táblák lejárati dátumait (Műszaki, Biztosítás, Adó, Orvosi).Karbantartási Naptár: Összeveti az utolsó szerviz óta eltelt időt/kilométert a factory_data intervallumaival.Értesítési Mátrix: - 30 nappal / 1000 km-rel előbb: Emlékeztető (Lite).7 nappal / 200 km-rel előbb: Sürgető (Action Required).Lejárat napján: Kritikus riasztás.Kimenet: Bejegyzés a data.notification_queue táblába (Email/Push).
+
+🛠 22.5 Adatminőség & Validációs RangsorA rendszer megkülönbözteti az adatok forrását, ami befolyásolja a jármű "Trust Score"-ját:ForrásHitelességi szintHatása az Asset-rePartner SzervizHigh (Verified)Digitális szervizkönyv pecsétet kap.User (Számlával)MediumFeltöltött dokumentumhoz kötött, admin jóváhagyásra várhat.User (Csak adat)LowTájékoztató jellegű, a jármű értékét nem növeli hivatalosan.
+
+💰 22.6 Költségcsoportosítás & Elszámolás (TCO)A költségek a data.asset_costs táblában rögzülnek az alábbi csoportosításban:Üzemanyag: Tankolások, fogyasztásmérés.Karbantartás: Alkatrész, munkadíj.Adók & Díjak: Biztosítás, adó, matrica.Munkába járás: Automatikus kalkuláció a munkanapok és a rögzített távolság alapján (NAV/Helyi norma szerinti térítés).

logs/morning_reports.log

@@ -17,3 +17,81 @@ WHERE data.process_logs.start_time >= $1::TIMESTAMP WITH TIME ZONE
 
 
 2026-02-17 07:00:02,309 INFO sqlalchemy.engine.Engine ROLLBACK
+2026-02-18 07:00:02,000 INFO sqlalchemy.engine.Engine select pg_catalog.version()
+2026-02-18 07:00:02,000 INFO sqlalchemy.engine.Engine [raw sql] ()
+2026-02-18 07:00:02,002 INFO sqlalchemy.engine.Engine select current_schema()
+2026-02-18 07:00:02,002 INFO sqlalchemy.engine.Engine [raw sql] ()
+2026-02-18 07:00:02,004 INFO sqlalchemy.engine.Engine show standard_conforming_strings
+2026-02-18 07:00:02,004 INFO sqlalchemy.engine.Engine [raw sql] ()
+2026-02-18 07:00:02,004 INFO sqlalchemy.engine.Engine BEGIN (implicit)
+2026-02-18 07:00:02,080 INFO sqlalchemy.engine.Engine SELECT data.process_logs.id, data.process_logs.process_name, data.process_logs.start_time, data.process_logs.end_time, data.process_logs.items_processed, data.process_logs.items_failed, data.process_logs.details, data.process_logs.created_at 
+FROM data.process_logs 
+WHERE data.process_logs.start_time >= $1::TIMESTAMP WITH TIME ZONE
+2026-02-18 07:00:02,080 INFO sqlalchemy.engine.Engine [generated in 0.00013s] (datetime.datetime(2026, 2, 17, 7, 0, 1, 932625),)
+📊 REGGELI ROBOT JELENTÉS - 2026-02-18
+========================================
+✅ Feldolgozott modellek: 147
+❌ Hibás/Sikertelen: 3
+🧹 AI névtisztítások száma: 0
+
+
+2026-02-18 07:00:02,086 INFO sqlalchemy.engine.Engine ROLLBACK
+2026-02-19 06:00:02,484 INFO sqlalchemy.engine.Engine select pg_catalog.version()
+2026-02-19 06:00:02,485 INFO sqlalchemy.engine.Engine [raw sql] ()
+2026-02-19 06:00:02,487 INFO sqlalchemy.engine.Engine select current_schema()
+2026-02-19 06:00:02,487 INFO sqlalchemy.engine.Engine [raw sql] ()
+2026-02-19 06:00:02,489 INFO sqlalchemy.engine.Engine show standard_conforming_strings
+2026-02-19 06:00:02,489 INFO sqlalchemy.engine.Engine [raw sql] ()
+2026-02-19 06:00:02,490 INFO sqlalchemy.engine.Engine BEGIN (implicit)
+2026-02-19 06:00:02,568 INFO sqlalchemy.engine.Engine SELECT data.process_logs.id, data.process_logs.process_name, data.process_logs.start_time, data.process_logs.end_time, data.process_logs.items_processed, data.process_logs.items_failed, data.process_logs.details, data.process_logs.created_at 
+FROM data.process_logs 
+WHERE data.process_logs.start_time >= $1::TIMESTAMP WITH TIME ZONE
+2026-02-19 06:00:02,568 INFO sqlalchemy.engine.Engine [generated in 0.00015s] (datetime.datetime(2026, 2, 18, 6, 0, 2, 414161),)
+📊 REGGELI ROBOT JELENTÉS - 2026-02-19
+========================================
+✅ Feldolgozott modellek: 0
+❌ Hibás/Sikertelen: 0
+🧹 AI névtisztítások száma: 0
+
+
+2026-02-19 06:00:02,573 INFO sqlalchemy.engine.Engine ROLLBACK
+2026-02-20 06:00:02,375 INFO sqlalchemy.engine.Engine select pg_catalog.version()
+2026-02-20 06:00:02,375 INFO sqlalchemy.engine.Engine [raw sql] ()
+2026-02-20 06:00:02,378 INFO sqlalchemy.engine.Engine select current_schema()
+2026-02-20 06:00:02,378 INFO sqlalchemy.engine.Engine [raw sql] ()
+2026-02-20 06:00:02,379 INFO sqlalchemy.engine.Engine show standard_conforming_strings
+2026-02-20 06:00:02,379 INFO sqlalchemy.engine.Engine [raw sql] ()
+2026-02-20 06:00:02,380 INFO sqlalchemy.engine.Engine BEGIN (implicit)
+2026-02-20 06:00:02,456 INFO sqlalchemy.engine.Engine SELECT data.process_logs.id, data.process_logs.process_name, data.process_logs.start_time, data.process_logs.end_time, data.process_logs.items_processed, data.process_logs.items_failed, data.process_logs.details, data.process_logs.created_at 
+FROM data.process_logs 
+WHERE data.process_logs.start_time >= $1::TIMESTAMP WITH TIME ZONE
+2026-02-20 06:00:02,456 INFO sqlalchemy.engine.Engine [generated in 0.00013s] (datetime.datetime(2026, 2, 19, 6, 0, 2, 329534),)
+📊 REGGELI ROBOT JELENTÉS - 2026-02-20
+========================================
+✅ Feldolgozott modellek: 0
+❌ Hibás/Sikertelen: 0
+🧹 AI névtisztítások száma: 0
+
+
+2026-02-20 06:00:02,462 INFO sqlalchemy.engine.Engine ROLLBACK
+📊 REGGELI ROBOT JELENTÉS - 2026-02-21
+========================================
+✅ Feldolgozott modellek: 0
+❌ Hibás/Sikertelen: 0
+🧹 AI névtisztítások száma: 0
+
+
+📊 REGGELI ROBOT JELENTÉS - 2026-02-22
+========================================
+✅ Feldolgozott modellek: 0
+❌ Hibás/Sikertelen: 0
+🧹 AI névtisztítások száma: 0
+
+
+📊 REGGELI ROBOT JELENTÉS - 2026-02-23
+========================================
+✅ Feldolgozott modellek: 0
+❌ Hibás/Sikertelen: 0
+🧹 AI névtisztítások száma: 0
+
+

n8n/data/n8nEventLog-2.log

@@ -1,576 +0,0 @@
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-{"__type":"$$EventMessageAudit","id":"10c34e80-a103-4fa5-817e-ef652538bafc","ts":"2026-02-13T21:36:04.754+00:00","eventName":"n8n.audit.user.login.success","message":"n8n.audit.user.login.success","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","authenticationMethod":"email"}}
-{"__type":"$$EventMessageAudit","id":"682f2d00-6de4-4ece-9e2c-a3e74f9d410e","ts":"2026-02-13T21:47:38.976+00:00","eventName":"n8n.audit.user.credentials.created","message":"n8n.audit.user.credentials.created","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","credentialType":"postgres","credentialId":"Jm8msQnZOaEu4FpX","publicApi":false,"projectId":"rhKVh1pVPxnQvrE5","projectType":"personal","isDynamic":false}}
-{"__type":"$$EventMessageAudit","id":"237cc6fb-8ee2-4dec-8a09-c8262080b060","ts":"2026-02-13T21:51:41.979+00:00","eventName":"n8n.audit.workflow.created","message":"n8n.audit.workflow.created","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow"}}
-{"__type":"$$EventMessageWorkflow","id":"69950600-8d87-433f-b126-3ea85db37f0c","ts":"2026-02-13T21:51:56.862+00:00","eventName":"n8n.workflow.failed","message":"n8n.workflow.failed","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","executionId":"1","success":false,"isManual":true,"workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow","errorMessage":"The workflow has issues and cannot be executed for that reason. Please fix them first."}}
-{"__type":"$$EventMessageAudit","id":"76b34802-2059-4e6c-9fc7-c6f69baa640b","ts":"2026-02-13T21:52:27.681+00:00","eventName":"n8n.audit.workflow.updated","message":"n8n.audit.workflow.updated","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow"}}
-{"__type":"$$EventMessageAudit","id":"40b56efa-00bb-4b4b-bf49-be3934ebfb03","ts":"2026-02-13T21:53:16.296+00:00","eventName":"n8n.audit.workflow.updated","message":"n8n.audit.workflow.updated","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow"}}
-{"__type":"$$EventMessageAudit","id":"fdacb46e-04f8-4a1b-bf90-f7dbf8122dec","ts":"2026-02-13T21:55:27.292+00:00","eventName":"n8n.audit.workflow.updated","message":"n8n.audit.workflow.updated","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow"}}
-{"__type":"$$EventMessageAudit","id":"d1259331-84cf-4cca-bb0a-d61f34f0fd99","ts":"2026-02-13T21:56:35.275+00:00","eventName":"n8n.audit.workflow.updated","message":"n8n.audit.workflow.updated","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow"}}
-{"__type":"$$EventMessageAudit","id":"400e57e4-2a36-4b00-8177-492a96d1e082","ts":"2026-02-13T21:56:39.888+00:00","eventName":"n8n.audit.workflow.updated","message":"n8n.audit.workflow.updated","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow"}}
-{"__type":"$$EventMessageAudit","id":"b172315d-d99d-41fd-87b6-02056c65b0f9","ts":"2026-02-13T21:57:34.897+00:00","eventName":"n8n.audit.user.execution.deleted","message":"n8n.audit.user.execution.deleted","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","executionIds":["1"]}}
-{"__type":"$$EventMessageAudit","id":"5265e5d8-de1c-47ba-a4e6-68cd556aaa01","ts":"2026-02-13T22:01:53.807+00:00","eventName":"n8n.audit.workflow.updated","message":"n8n.audit.workflow.updated","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow"}}
-{"__type":"$$EventMessageAudit","id":"7f524dde-69b8-4a1a-ad25-49211303c9f8","ts":"2026-02-13T22:04:04.860+00:00","eventName":"n8n.audit.workflow.updated","message":"n8n.audit.workflow.updated","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow"}}
-{"__type":"$$EventMessageWorkflow","id":"dd399605-345a-4a36-bcf0-1b291f9ef609","ts":"2026-02-13T22:04:19.549+00:00","eventName":"n8n.workflow.started","message":"n8n.workflow.started","payload":{"executionId":"2","workflowId":"eRVwBJfXw8ymc6aZ","isManual":false,"workflowName":"My workflow"}}
-{"__type":"$$EventMessageAudit","id":"adf99f02-914b-4f47-a149-b6e408fc1d63","ts":"2026-02-13T22:04:19.550+00:00","eventName":"n8n.audit.workflow.executed","message":"n8n.audit.workflow.executed","payload":{"userId":"07cbc1c9-f562-4c77-88d0-c0c8faff3e82","_email":"kincses@gmail.com","_firstName":"Zsolt","_lastName":"Gyongyossy","globalRole":"global:owner","workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow","executionId":"2","source":"user-manual"}}
-{"__type":"$$EventMessageNode","id":"647915ce-3954-4792-9db9-abd9f7994262","ts":"2026-02-13T22:04:19.551+00:00","eventName":"n8n.node.started","message":"n8n.node.started","payload":{"workflowId":"eRVwBJfXw8ymc6aZ","workflowName":"My workflow","executionId":"2","nodeType":"n8n-nodes-base.postgres","nodeName":"Execute a SQL query","nodeId":"5225b2de-580f-413c-b5ce-806bff919a40"}}
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vehicle.modelfile

@@ -0,0 +1,18 @@
+FROM qwen2.5:7b
+
+# Alacsony hőmérséklet = maximális precizitás
+PARAMETER temperature 0.1
+
+SYSTEM """
+Te egy autóipari adat-kinyerő robot vagy. 
+A feladatod, hogy a megadott szövegből kinyerd a technikai adatokat.
+KIZÁRÓLAG tiszta JSON-ben válaszolhatsz. Ne írj magyarázatot.
+
+A várt formátum:
+{
+  "ccm": szám vagy null,
+  "kw": szám vagy null,
+  "euro_class": szám vagy null,
+  "fuel_type": "Benzin" | "Dízel" | "Elektromos" | null
+}
+"""