Update contest data handling in app.py and related functions to include position data

- Modified the load_contest_file function to return position data alongside existing contest data, enhancing the information available for each player.
- Updated app.py to utilize the new position data, ensuring that session state variables are populated with the latest player information.
- Adjusted the grab_contest_data function to improve the handling of lineup strings, ensuring accurate data representation.
- These changes contribute to ongoing efforts to improve data integrity and user experience within the application.

app.py

@@ -86,7 +86,7 @@ with tab1:
                 del st.session_state['Contest']
 
         if 'Contest_file' in st.session_state and 'Adj_Contest' not in st.session_state:
-            st.session_state['Contest'], st.session_state['ownership_df'], st.session_state['actual_df'], st.session_state['salary_df'], st.session_state['team_df'], st.session_state['entry_list'] = load_contest_file(st.session_state['Contest_file'], sport_select)
+            st.session_state['Contest'], st.session_state['ownership_df'], st.session_state['actual_df'], st.session_state['salary_df'], st.session_state['team_df'], st.session_state['pos_df'], st.session_state['entry_list'] = load_contest_file(st.session_state['Contest_file'], sport_select)
             st.session_state['Contest'] = st.session_state['Contest'].dropna(how='all')
             st.session_state['Contest'] = st.session_state['Contest'].reset_index(drop=True)
             if st.session_state['Contest'] is not None:
@@ -98,11 +98,12 @@ with tab1:
         st.session_state['actual_dict'] = dict(zip(st.session_state['actual_df']['Player'], st.session_state['actual_df']['FPTS']))
         st.session_state['salary_dict'] = dict(zip(st.session_state['salary_df']['Player'], st.session_state['salary_df']['Salary']))
         st.session_state['team_dict'] = dict(zip(st.session_state['team_df']['Player'], st.session_state['team_df']['Team']))
+        st.session_state['pos_dict'] = dict(zip(st.session_state['pos_df']['Player'], st.session_state['pos_df']['Pos']))
         st.write(st.session_state['ownership_dict'])
         st.write(st.session_state['actual_dict'])
         st.write(st.session_state['salary_dict'])
         st.write(st.session_state['team_dict'])
-
+        st.write(st.session_state['pos_dict'])
 
 with tab2:
     excluded_cols = ['BaseName', 'EntryCount']

global_func/grab_contest_data.py

@@ -66,7 +66,7 @@ def grab_contest_data(sport, contest_name, contest_id_map, contest_date):
     lineups_df = lineups_df.rename(columns={'index': 'Rank', 'points': 'Points', 'entryNameList': 'EntryName', 'lineupHash': 'Lineup'})
     lineups_df['EntryName'] = lineups_df['EntryName'] + ' (1/1)'
     lineups_df['Lineup'] = lineups_df['Lineup'].apply(lambda x: format_lineup_string(x, position_inserts))
-    lineups_df['Lineup'] = lineups_df['Lineup'].replace(pid_map, regex=True)
+    lineups_df['Lineup'] = lineups_df['Lineup'].replace(pid_map, regex=False)
     lineups_df = lineups_df[['Rank', 'EntryId', 'EntryName', 'TimeRemaining', 'Points', 'Lineup']]
 
     total_data = lineups_df.merge(players_df, how='left', left_index=True, right_index=True)

global_func/load_contest_file.py

@@ -54,12 +54,13 @@ def load_contest_file(upload, sport):
             fpts_df = df[['Player', 'FPTS']]
             salary_df = df[['Player', 'Salary']]
             team_df = df[['Player', 'Team']]
+            pos_df = df[['Player', 'Pos']]
             cleaned_df = df.drop(columns=['EntryId', 'EntryName', 'TimeRemaining', 'Points', 'Lineup', 'Player', 'Pos', 'Own', 'FPTS', 'Salary', 'Team'])
             cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']]
             entry_list = list(set(df['BaseName']))
             entry_list.sort()
             
-            return cleaned_df, ownership_df, fpts_df, salary_df, team_df, entry_list
+            return cleaned_df, ownership_df, fpts_df, salary_df, team_df, pos_df, entry_list
         except Exception as e:
             st.error(f'Error loading file: {str(e)}')
             return None