feat: enhance report generation with target name and content injection

- Added target_name parameter to Reports class for improved report context.
- Updated inject_content function to ensure proper handling of HTML sections.
- Modified DataManagerRepository to join predictions with training and validation data for accurate report generation.

model_manager/utils/repository/data_manager_repository.py

@@ -511,11 +511,26 @@ class DataManagerRepository(SientiaMonitoring):
         if data.run_name is None:
             raise ValueError('run_name is not set, cannot generate report')
 
-        # Convert data to float64 for report generation
-        # This may raise ValueError if data contains non-numeric values
-        reference_data = data.train_data
-        current_data = data.val_data
+        if data.y_train_pred is None or data.y_pred is None:
+            raise ValueError('y_train_pred or y_pred is not set, cannot generate report')
+
+
+        y_train_pred = data.y_train_pred.rename(
+            columns={data.params.target_variable: 'prediction'}
+        )
+        y_val_pred = data.y_pred.rename(
+            columns={data.params.target_variable: 'prediction'}
+        )
+        
+        # Join the predictions to the data
+        reference_data = y_train_pred[['prediction']].join(
+            data.train_data, how='inner'
+        )
         reference_data_float = reference_data.astype(np.float64)
+
+        current_data = y_val_pred[['prediction']].join(
+            data.val_data, how='inner'
+        )
         current_data_float = current_data.astype(np.float64)
 
         # Initialize report generator
@@ -524,6 +539,7 @@ class DataManagerRepository(SientiaMonitoring):
             reference_data=reference_data_float,
             current_data=current_data_float,
             base_path=data.run_dir,
+            target_name=data.params.target_variable,
         )
 
         # Generate report sections