refakotorálás előtti állapot

backend/app/models/__init__.py

@@ -10,6 +10,7 @@ from .address import Address, GeoPostalCode, GeoStreet, GeoStreetType, Rating
 
 # 3. Jármű definíciók
 from .vehicle_definitions import VehicleModelDefinition, VehicleType, FeatureDefinition, ModelFeatureMap
+from .reference_data import ReferenceLookup
 
 # 4. Szervezeti felépítés
 from .organization import Organization, OrganizationMember, OrganizationFinancials, OrganizationSalesAssignment, OrgType, OrgUserRole, Branch
@@ -61,7 +62,7 @@ __all__ = [
     "AuditLog", "VehicleOwnership", "LogSeverity",
     "SecurityAuditLog", "ProcessLog", "FinancialLedger",
     "ServiceProfile", "ExpertiseTag", "ServiceExpertise", "ServiceStaging", "DiscoveryParameter",
-    "Vehicle", "UserVehicle", "VehicleCatalog", "ServiceRecord", "VehicleModelDefinition",
+    "Vehicle", "UserVehicle", "VehicleCatalog", "ServiceRecord", "VehicleModelDefinition", "ReferenceLookup",
     "VehicleType", "FeatureDefinition", "ModelFeatureMap", "LegalDocument", "LegalAcceptance",
     "Location", "LocationType"
 ]

backend/app/models/asset.py

@@ -166,14 +166,13 @@ class VehicleOwnership(Base):
     __table_args__ = {"schema": "data"}
     id: Mapped[int] = mapped_column(Integer, primary_key=True)
     asset_id: Mapped[uuid.UUID] = mapped_column(PG_UUID(as_uuid=True), ForeignKey("data.assets.id"), nullable=False)
-    
     user_id: Mapped[int] = mapped_column(Integer, ForeignKey("identity.users.id"), nullable=False)
     
     acquired_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
     disposed_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True))
     
     asset: Mapped["Asset"] = relationship("Asset", back_populates="ownership_history")
-    # EZ A SOR HIÁNYZIK A KÓDODBÓL ÉS EZ JAVÍTJA A HIBÁT:
+    # JAVÍTVA: Kapcsolat a User modellhez
     user: Mapped["User"] = relationship("User", back_populates="ownership_history")
 
 class AssetTelemetry(Base):
@@ -212,10 +211,27 @@ class ExchangeRate(Base):
     rate: Mapped[float] = mapped_column(Numeric(18, 6), nullable=False)
 
 class CatalogDiscovery(Base):
-    """ Robot munkaterület. """
+    """ Robot munkaterület a felfedezett modelleknek. """
     __tablename__ = "catalog_discovery"
-    __table_args__ = (UniqueConstraint('make', 'model', name='_make_model_uc'), {"schema": "data"})
+    __table_args__ = (
+        # KIBŐVÍTETT EGYEDISÉGI SZABÁLY: Márka + Modell + Osztály + Piac + Évjárat
+        UniqueConstraint('make', 'model', 'vehicle_class', 'market', 'model_year', name='_make_model_market_year_uc'),
+        {"schema": "data"}
+    )
     id: Mapped[int] = mapped_column(Integer, primary_key=True, index=True)
     make: Mapped[str] = mapped_column(String(100), nullable=False, index=True)
     model: Mapped[str] = mapped_column(String(100), nullable=False, index=True)
-    status: Mapped[str] = mapped_column(String(20), server_default=text("'pending'"), index=True)
+    vehicle_class: Mapped[str] = mapped_column(String(50), server_default=text("'car'"), index=True)
+    
+    # --- ÚJ MEZŐK A STATISZTIKÁHOZ ÉS PIACAZONOSÍTÁSHOZ ---
+    market: Mapped[str] = mapped_column(String(20), server_default=text("'GLOBAL'"), index=True) # pl: RDW, DVLA, USA_IMPORT
+    model_year: Mapped[Optional[int]] = mapped_column(Integer, index=True)
+    
+    # Robot vezérlés
+    status: Mapped[str] = mapped_column(String(20), server_default=text("'pending'"), index=True)
+    source: Mapped[Optional[str]] = mapped_column(String(100)) # pl: STRATEGIST-V2, NHTSA-V1
+    priority_score: Mapped[int] = mapped_column(Integer, server_default=text("0"))
+    attempts: Mapped[int] = mapped_column(Integer, server_default=text("0"))
+    
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())

backend/app/models/reference_data.py

@@ -0,0 +1,20 @@
+# /app/app/models/reference_data.py
+from sqlalchemy import Column, Integer, String, DateTime, func
+from sqlalchemy.dialects.postgresql import JSONB
+from app.database import Base
+
+class ReferenceLookup(Base):
+    __tablename__ = "reference_lookup"
+    __table_args__ = {"schema": "data"}
+
+    id = Column(Integer, primary_key=True, index=True)
+    make = Column(String, nullable=False, index=True)
+    model = Column(String, nullable=False, index=True)
+    year = Column(Integer, nullable=True, index=True)
+    
+    # Itt tároljuk az egységesített adatokat
+    specs = Column(JSONB, nullable=False) 
+    
+    source = Column(String, nullable=False) # pl: 'os-vehicle-db', 'wikidata'
+    source_id = Column(String, nullable=True)
+    updated_at = Column(DateTime, server_default=func.now(), onupdate=func.now())

backend/app/models/vehicle_definitions.py

@@ -42,6 +42,7 @@ class FeatureDefinition(Base):
 
 
 class VehicleModelDefinition(Base):
+    market: Mapped[str] = mapped_column(String(20), server_default=text("'GLOBAL'"), index=True)
     """ 
     Robot v1.1.0 Multi-Tier MDM Master Adattábla.
     Az ökoszisztéma technikai igazságforrása.
@@ -126,7 +127,7 @@ class VehicleModelDefinition(Base):
 
     # --- BEÁLLÍTÁSOK ---
     __table_args__ = (
-        UniqueConstraint('make', 'normalized_name', 'variant_code', 'version_code', 'fuel_type', name='uix_vmd_precision'),
+        UniqueConstraint('make', 'normalized_name', 'variant_code', 'version_code', 'fuel_type', 'market', 'year_from', name='uix_vmd_precision_v2'),
         Index('idx_vmd_lookup_fast', 'make', 'normalized_name'),
         Index('idx_vmd_engine_bridge', 'make', 'engine_code'),
         {"schema": "data"}