feat: Freelancer Match — AI-матчинг, escrow, milestones, portfolio, skill-tests, verification

backend/app/models/ai_match.py

@@ -0,0 +1,21 @@
+"""Модель AI-рекомендаций."""
+
+import uuid
+from datetime import datetime, timezone
+
+from sqlalchemy import Column, DateTime, Float, ForeignKey, func
+from sqlalchemy.dialects.postgresql import UUID as PG_UUID
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+
+from app.core.database import Base
+
+
+class AIMatch(Base):
+    __tablename__ = "ai_matches"
+
+    id: Mapped[uuid.UUID] = mapped_column(PG_UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
+    project_id: Mapped[uuid.UUID] = mapped_column(PG_UUID(as_uuid=True), ForeignKey("projects.id"), nullable=False)
+    freelancer_id: Mapped[uuid.UUID] = mapped_column(PG_UUID(as_uuid=True), ForeignKey("users.id"), nullable=False)
+    match_score: Mapped[float] = mapped_column(Float(precision=5, scale=4), nullable=False)
+    reasons: Mapped[list] = mapped_column("reasons", postgresql.JSONB, default=list)
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())