céges meghívó kezelése,

backend/app/models/marketplace/service.py

@@ -80,9 +80,21 @@ class ExpertiseTag(Base):
     """ 
     Szakmai címkék mesterlistája (MB 2.0). 
     Ez a tábla vezérli a robotok keresését és a Gamification pontozást is.
+    
+    4-Level Category Hierarchy (2026-06-17):
+    =========================================
+    Level 0: Járműtípus (Vehicle Type) — e.g. "Személyautó", "Motorkerékpár"
+    Level 1: Iparág/Főcsoport (Industry) — e.g. "Karbantartás és javítás", "Üzemanyagtöltő"
+    Level 2: Szakma (Profession) — e.g. "Autószerelő", "Gumiszerviz"
+    Level 3: Specifikus feladat/címke (Specific Tag) — e.g. "Vezérműszíj csere", "Klíma töltés"
+    
+    Adjacency List (parent_id) + Materialized Path (path) for efficient tree queries.
     """
     __tablename__ = "expertise_tags"
-    __table_args__ = {"schema": "marketplace"}
+    __table_args__ = (
+        Index('idx_expertise_path', 'path'),
+        {"schema": "marketplace"}
+    )
 
     id: Mapped[int] = mapped_column(Integer, primary_key=True)
     key: Mapped[str] = mapped_column(String(50), unique=True, index=True)
@@ -90,6 +102,13 @@ class ExpertiseTag(Base):
     name_en: Mapped[Optional[str]] = mapped_column(String(100))
     category: Mapped[Optional[str]] = mapped_column(String(30), index=True)
 
+    # --- 🏗️ 4-LEVEL HIERARCHY (2026-06-17) ---
+    parent_id: Mapped[Optional[int]] = mapped_column(
+        Integer, ForeignKey("marketplace.expertise_tags.id"), nullable=True, index=True
+    )
+    level: Mapped[int] = mapped_column(Integer, default=0, server_default=text("0"), nullable=False)
+    path: Mapped[Optional[str]] = mapped_column(String(255), nullable=True, index=True)
+
     # --- 🎮 GAMIFICATION ÉS DISCOVERY ---
     is_official: Mapped[bool] = mapped_column(Boolean, default=True, server_default=text("true"))
     suggested_by_id: Mapped[Optional[int]] = mapped_column(BigInteger, ForeignKey("identity.persons.id"))
@@ -102,6 +121,20 @@ class ExpertiseTag(Base):
     created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
     updated_at: Mapped[Optional[datetime]] = mapped_column(DateTime(timezone=True), onupdate=func.now())
 
+    # Self-referential relationship for tree traversal
+    # NOTE: cascade="all, delete-orphan" is intentionally NOT set here because
+    # this is a self-referential tree. Deleting a parent should NOT cascade-delete
+    # children (they may be re-parented). The "many" side of a self-referential
+    # relationship cannot have delete-orphan without single_parent=True.
+    children: Mapped[List["ExpertiseTag"]] = relationship(
+        "ExpertiseTag", back_populates="parent",
+        remote_side=[id],
+    )
+    parent: Mapped[Optional["ExpertiseTag"]] = relationship(
+        "ExpertiseTag", back_populates="children",
+        remote_side=[parent_id],
+    )
+
     services: Mapped[List["ServiceExpertise"]] = relationship("ServiceExpertise", back_populates="tag")
     suggested_by: Mapped[Optional["Person"]] = relationship("Person")
 
@@ -173,4 +206,4 @@ class Cost(Base):
     occurrence_date: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, index=True)
     is_deleted: Mapped[bool] = mapped_column(Boolean, default=False)
     created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
-    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), onupdate=func.now(), server_default=func.now())
+    updated_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), onupdate=func.now(), server_default=func.now())