Update player column selection logic in distribute_preset.py to reference the correct portfolio DataFrame. This change ensures that the player filtering process accurately reflects the current portfolio structure, enhancing the overall functionality of the distribution process.

global_func/distribute_preset.py

@@ -3,7 +3,7 @@ import pandas as pd
 def distribute_preset(portfolio: pd.DataFrame, lineup_target: int, exclude_cols: list):
     
     excluded_cols = ['salary', 'median', 'Own', 'Finish_percentile', 'Dupes', 'Stack', 'Size', 'Win%', 'Lineup Edge', 'Weighted Own', 'Geomean', 'Similarity Score']
-    player_columns = [col for col in init_portfolio.columns if col not in excluded_cols]
+    player_columns = [col for col in portfolio.columns if col not in excluded_cols]
     for slack_var in range(1, 20):
         init_portfolio = pd.DataFrame(columns=portfolio.columns)