imporve features

services/training/app/repositories/model_repository.py

@@ -6,7 +6,7 @@ Repository for trained model operations
 from typing import Optional, List, Dict, Any
 from sqlalchemy.ext.asyncio import AsyncSession
 from sqlalchemy import select, and_, text, desc
-from datetime import datetime, timedelta
+from datetime import datetime, timezone, timedelta
 import structlog
 
 from .base import TrainingBaseRepository
@@ -144,7 +144,7 @@ class ModelRepository(TrainingBaseRepository):
             # Promote this model
             updated_model = await self.update(model_id, {
                 "is_production": True,
-                "last_used_at": datetime.utcnow()
+                "last_used_at": datetime.now(timezone.utc)
             })
             
             logger.info("Model promoted to production",
@@ -164,7 +164,7 @@ class ModelRepository(TrainingBaseRepository):
         """Update model last used timestamp"""
         try:
             return await self.update(model_id, {
-                "last_used_at": datetime.utcnow()
+                "last_used_at": datetime.now(timezone.utc)
             })
         except Exception as e:
             logger.error("Failed to update model usage",
@@ -176,7 +176,7 @@ class ModelRepository(TrainingBaseRepository):
     async def archive_old_models(self, tenant_id: str, days_old: int = 90) -> int:
         """Archive old non-production models"""
         try:
-            cutoff_date = datetime.utcnow() - timedelta(days=days_old)
+            cutoff_date = datetime.now(timezone.utc) - timedelta(days=days_old)
             
             query = text("""
                 UPDATE trained_models 
@@ -235,7 +235,7 @@ class ModelRepository(TrainingBaseRepository):
             product_stats = {row.inventory_product_id: row.count for row in result.fetchall()}
             
             # Recent activity (models created in last 30 days)
-            thirty_days_ago = datetime.utcnow() - timedelta(days=30)
+            thirty_days_ago = datetime.now(timezone.utc) - timedelta(days=30)
             recent_models_query = text("""
                 SELECT COUNT(*) as count 
                 FROM trained_models