Enhance VORP scoring in Streamlit app by returning an additional original rank dictionary, improving player ranking accuracy and enabling better mapping of scoring ranks in the final output.

src/streamlit_app.py

@@ -382,8 +382,9 @@ def assign_vorp_scoring(frame: pd.DataFrame, halfPpr_rv: dict, custom_rv: dict,
     vorp_frame['pos_rank'] = vorp_frame.groupby('Pos')['custom_rank'].rank(method='first', ascending=True).astype(int)
     vorp_frame['pos_designation'] = vorp_frame['Pos'] + vorp_frame['pos_rank'].astype(str)
     pos_des_dict = dict(zip(vorp_frame['pos_designation'], vorp_frame['Name']))
+    orig_rank_dict = dict(zip(vorp_frame['Name'], vorp_frame['pos_designation']))
 
-    return pos_des_dict
+    return pos_des_dict, orig_rank_dict
 
 def assign_vorp_roster(frame: pd.DataFrame, halfPpr_rv: dict, custom_rv: dict, league_settings: dict, pos_vorp_limiters: dict) -> pd.DataFrame:
     if league_settings['TYPE'] == 'Half PPR':
@@ -444,9 +445,10 @@ def main():
     custom_roster_rv = create_custom_rv(position_df, custom_pos_reqs, user_league_settings)
     
     # Calculate VORP and rankings
-    pos_des_dict = assign_vorp_scoring(position_df, halfPpr_rv, custom_scoring_rv, user_league_settings, user_pos_vorp_limiters)
+    pos_des_dict, orig_rank_dict = assign_vorp_scoring(position_df, halfPpr_rv, custom_scoring_rv, user_league_settings, user_pos_vorp_limiters)
     final_df = assign_vorp_roster(position_df, halfPpr_rv, custom_roster_rv, user_league_settings, user_pos_vorp_limiters)
     final_df = final_df.drop(columns=['SR_ID'], axis=1)
+    final_df['scoring_rank'] = final_df['Name'].map(orig_rank_dict)
     final_df['pos_lock_name'] = final_df['pos_designation'].map(pos_des_dict)
     
     # Display results