Refactor large_field_preset function to improve sorting logic: change the final return statement to sort by 'Finish_percentile' instead of 'Own', ensuring more accurate lineup targeting based on performance metrics.

global_func/large_field_preset.py

@@ -5,7 +5,7 @@ def large_field_preset(portfolio: pd.DataFrame, lineup_target: int):
     for slack_var in range(1, 10):
         rows_to_drop = []
         
-        working_portfolio = portfolio.sort_values(by='Finish_percentile', ascending = True).reset_index(drop=True)
+        working_portfolio = portfolio.sort_values(by='Finish_percentile', ascending = True)
         working_portfolio = working_portfolio[working_portfolio['Lineup Edge'] > 0]
         working_portfolio = working_portfolio.reset_index(drop=True)
         curr_own_type_max = working_portfolio.loc[0, 'Own'] + (slack_var / 10 * working_portfolio.loc[0, 'Own'])
@@ -18,6 +18,6 @@ def large_field_preset(portfolio: pd.DataFrame, lineup_target: int):
 
         working_portfolio = working_portfolio.drop(rows_to_drop).reset_index(drop=True)
         if len(working_portfolio) >= lineup_target:
-            return working_portfolio.sort_values(by='Own', ascending=False).head(lineup_target)
+            return working_portfolio.sort_values(by='Finish_percentile', ascending=True).head(lineup_target)
         
-    return working_portfolio.sort_values(by='Own', ascending=False)
+    return working_portfolio.sort_values(by='Finish_percentile', ascending=True)