Refactor VORP calculation in Streamlit app to use correct player values for halfPPR and custom rankings, improving accuracy in evaluations and ensuring consistency in output structure.

src/streamlit_app.py

@@ -382,8 +382,8 @@ def assign_vorp(frame: pd.DataFrame, halfPpr_rv: dict, custom_rv: dict, league_s
         
         pos_frame['halfPpr_rv'] = halfPpr_rv[positions]
         pos_frame['custom_rv'] = custom_rv[positions]
-        pos_frame['halfPpr_VORP'] = pos_frame['adj_halfPpr'] - halfPpr_rv[positions]
-        pos_frame['custom_VORP'] = pos_frame['adj_custom'] - custom_rv[positions]
+        pos_frame['halfPpr_VORP'] = pos_frame['halfPpr'] - halfPpr_rv[positions]
+        pos_frame['custom_VORP'] = pos_frame[rv_type] - custom_rv[positions]
 
         pos_frame = pos_frame.drop(columns=['custom_rank_raw', 'custom_calc', 'custom_proj_rank', 'max_halfPpr', 'halfPpr_range', 'max_custom', 'custom_range'])
         
@@ -430,7 +430,7 @@ def main():
     # Calculate VORP and rankings
     final_df, pos_lock_dict, name_lock_dict = assign_vorp(position_df, halfPpr_rv, custom_rv, user_league_settings, user_pos_vorp_limiters)
     final_df = final_df.drop(columns=['SR_ID'], axis=1)
-    final_df['pos_lock_lu'] = final_df['Name'].map(name_lock_dict)
+    final_df['orig_rank'] = final_df['Name'].map(name_lock_dict)
     final_df['pos_lock_name'] = final_df['pos_designation'].map(pos_lock_dict)
     
     # Display results