Initial microservices setup from artifacts

services/training/app/api/models.py

@@ -0,0 +1,33 @@
+"""
+Models API endpoints
+"""
+
+from fastapi import APIRouter, Depends, HTTPException, status
+from sqlalchemy.ext.asyncio import AsyncSession
+from typing import List
+import logging
+
+from app.core.database import get_db
+from app.core.auth import verify_token
+from app.schemas.training import TrainedModelResponse
+from app.services.training_service import TrainingService
+
+logger = logging.getLogger(__name__)
+router = APIRouter()
+
+training_service = TrainingService()
+
+@router.get("/", response_model=List[TrainedModelResponse])
+async def get_trained_models(
+    user_data: dict = Depends(verify_token),
+    db: AsyncSession = Depends(get_db)
+):
+    """Get trained models"""
+    try:
+        return await training_service.get_trained_models(user_data, db)
+    except Exception as e:
+        logger.error(f"Get trained models error: {e}")
+        raise HTTPException(
+            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
+            detail="Failed to get trained models"
+        )