frontend admin refakctorálás

backend/app/models/gamification/__init__.py

@@ -9,6 +9,7 @@ from .gamification import (
     UserContribution,
     Season,
 )
+from .validation_rule import ValidationRule
 
 __all__ = [
     "PointRule",
@@ -19,4 +20,5 @@ __all__ = [
     "UserBadge",
     "UserContribution",
     "Season",
+    "ValidationRule",
 ]

backend/app/models/gamification/validation_rule.py

@@ -0,0 +1,53 @@
+# /opt/docker/dev/service_finder/backend/app/models/gamification/validation_rule.py
+"""
+ValidationRule model — Gamification schema.
+
+Stores dynamic global provider validation rules (thresholds) that drive
+the ValidationEngine. Rules are key-value pairs with integer values,
+seeded at initialization and editable via the admin panel.
+
+Schema: gamification.validation_rules
+"""
+from typing import Optional
+from datetime import datetime
+from sqlalchemy import String, Integer, DateTime, func
+from sqlalchemy.orm import Mapped, mapped_column
+from app.database import Base
+
+
+class ValidationRule(Base):
+    """
+    Global provider validation rules / thresholds.
+
+    Each row defines a single rule_key → rule_value mapping used by
+    the ValidationEngine to compute trust scores and auto-approval
+    thresholds for service providers.
+
+    Seed data (base rules):
+        BOT_BASE_SCORE       = 20   # Default trust score for robot-discovered entries
+        FIRST_ENTRY_SCORE    = 40   # Score awarded for the first user entry
+        USER_CONFIRM_BASE    = 20   # Base score per user confirmation vote
+        AUTO_APPROVE_THRESHOLD = 80 # Minimum validation_level to auto-promote
+    """
+    __tablename__ = "validation_rules"
+    __table_args__ = {"schema": "gamification", "extend_existing": True}
+
+    id: Mapped[int] = mapped_column(Integer, primary_key=True, index=True)
+    rule_key: Mapped[str] = mapped_column(
+        String(100), unique=True, nullable=False, index=True,
+        comment="Unique rule identifier, e.g. 'BOT_BASE_SCORE'"
+    )
+    rule_value: Mapped[int] = mapped_column(
+        Integer, nullable=False, default=0,
+        comment="Integer value for this rule (score, threshold, etc.)"
+    )
+    description: Mapped[Optional[str]] = mapped_column(
+        String(500), nullable=True,
+        comment="Human-readable description of what this rule controls"
+    )
+    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()
+    )