Fix new Frontend 15

services/training/app/api/training.py

@@ -169,13 +169,6 @@ async def execute_training_job_background(
                     "api_version": "v1"
                 }
                 
-                # Publish immediate event (training started)
-                await publish_job_started(
-                    job_id=job_id,
-                    tenant_id=tenant_id,
-                    config=training_config
-                )
-                
                 await status_manager.update_job_status(
                     job_id=job_id,
                     status="running", 

services/training/app/ml/trainer.py

@@ -446,6 +446,7 @@ class BakeryMLTrainer:
                 logger.info(f"Successfully trained model for {product_name}")
                 
                 completed_products = i + 1
+                i = i + 1
                 progress = base_progress + int((completed_products / total_products) * (max_progress - base_progress))
                 
                 if self.status_publisher:
@@ -469,6 +470,7 @@ class BakeryMLTrainer:
                 }
                 
                 completed_products = i + 1
+                i = i + 1
                 
                 if self.status_publisher:
                     self.status_publisher.products_completed = completed_products
@@ -479,7 +481,6 @@ class BakeryMLTrainer:
                         step_details=f"Failed training for {product_name}: {str(e)}"
                     )
             
-        
         return training_results
     
     def _calculate_training_summary(self, training_results: Dict[str, Any]) -> Dict[str, Any]:

services/training/app/services/training_service.py

@@ -81,6 +81,13 @@ class TrainingService:
             
             # Step 1: Prepare training dataset with date alignment and orchestration
             logger.info("Step 1: Preparing and aligning training data")
+                        
+            await self.status_publisher.progress_update(
+                progress=10,
+                step="data_validation",
+                step_details="Data validation and alignment completed"
+            )
+            
             training_dataset = await self.orchestrator.prepare_training_data(
                 tenant_id=tenant_id,
                 bakery_location=bakery_location,
@@ -89,12 +96,6 @@ class TrainingService:
                 job_id=job_id
             )
             
-            await self.status_publisher.progress_update(
-                progress=10,
-                step="data_validation",
-                step_details="Data validation and alignment completed"
-            )
-            
             # Step 2: Execute ML training pipeline
             logger.info("Step 2: Starting ML training pipeline")
             training_results = await self.trainer.train_tenant_models(