Improve the frontend 2

services/training/app/api/training_operations.py

@@ -41,6 +41,7 @@ from app.services.training_events import (
 )
 from app.core.config import settings
 from app.core.database import get_db
+from app.models import AuditLog
 
 logger = structlog.get_logger()
 route_builder = RouteBuilder('training')
@@ -48,7 +49,7 @@ route_builder = RouteBuilder('training')
 router = APIRouter(tags=["training-operations"])
 
 # Initialize audit logger
-audit_logger = create_audit_logger("training-service")
+audit_logger = create_audit_logger("training-service", AuditLog)
 
 # Redis client for rate limiting
 _redis_client = None

services/training/app/repositories/model_repository.py

@@ -263,10 +263,14 @@ class ModelRepository(TrainingBaseRepository):
             
             average_mape = accuracy_row.average_mape if accuracy_row and accuracy_row.average_mape else 0
             total_models_with_metrics = accuracy_row.total_models_with_metrics if accuracy_row else 0
-            
+
             # Convert MAPE to accuracy percentage (lower MAPE = higher accuracy)
             # Use 100 - MAPE as a simple conversion, but cap it at reasonable bounds
-            average_accuracy = max(0, min(100, 100 - float(average_mape))) if average_mape > 0 else 0
+            # Return None if no models have metrics (no data), rather than 0
+            if total_models_with_metrics == 0:
+                average_accuracy = None
+            else:
+                average_accuracy = max(0, min(100, 100 - float(average_mape))) if average_mape > 0 else 0
             
             return {
                 "total_models": total_models,