Enhance data type handling and regex replacement in grab_contest_data.py

- Updated the data type conversion for specific columns in the lineups DataFrame to ensure they are treated as integers, improving data integrity.
- Modified the 'Lineup' replacement method to utilize regex, enhancing flexibility in player ID mapping.
- These changes contribute to ongoing efforts to streamline data processing and improve code maintainability.

global_func/grab_contest_data.py

@@ -65,7 +65,9 @@ def grab_contest_data(sport, contest_name, contest_id_map, contest_date_map):
     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)
+    for col in lineups_df.columns[2:]:
+        lineups_df[col] = lineups_df[col].astype(int)
+    lineups_df['Lineup'] = lineups_df['Lineup'].replace(pid_map, regex=True)
     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)