Fix variable reference in distribute_preset function to correctly use 'Weighted Own' for filtering logic, ensuring accurate portfolio selection based on ownership thresholds.

global_func/distribute_preset.py

@@ -19,10 +19,10 @@ def distribute_preset(portfolio: pd.DataFrame, lineup_target: int, exclude_cols:
             curr_own_type_max = working_portfolio.loc[0, 'Weighted Own'] + (slack_var / 20 * working_portfolio.loc[0, 'Weighted Own'])
 
             for i in range(1, len(working_portfolio)):
-                if working_portfolio.loc[i, 'Weighted'] > curr_own_type_max:
+                if working_portfolio.loc[i, 'Weighted Own'] > curr_own_type_max:
                     rows_to_drop.append(i)
                 else:
-                    curr_own_type_max = working_portfolio.loc[i, 'Weighted'] + (slack_var / 20 * working_portfolio.loc[i, 'Weighted'])
+                    curr_own_type_max = working_portfolio.loc[i, 'Weighted Own'] + (slack_var / 20 * working_portfolio.loc[i, 'Weighted Own'])
             
             working_portfolio = working_portfolio.drop(rows_to_drop).reset_index(drop=True)
             concat_portfolio = pd.concat([concat_portfolio, working_portfolio])