Update app.py

app.py

@@ -480,13 +480,17 @@ def server(input, output, session):
             batter_id = int(input.batter_id())
 
 
-            df_player = scrape.get_players(sport_id=sport_id,season=year)
-            batter_name_id = dict(zip(df_player['player_id'],df_player['name']))
-            player_team_dict = dict(zip(df_player['player_id'],df_player['team']))
-            player_position_dict = dict(zip(df_player['player_id'],df_player['position']))
+            # df_player = scrape.get_players(sport_id=sport_id,season=year)
+            # batter_name_id = dict(zip(df_player['player_id'],df_player['name']))
+            # player_team_dict = dict(zip(df_player['player_id'],df_player['team']))
+            # player_position_dict = dict(zip(df_player['player_id'],df_player['position']))
 
 
             batter_summary = pl.read_parquet(f"hf://datasets/TJStatsApps/mlb_data/summary/batter_summary_{level_dict_file[str(sport_id)]}_{year}_spring.parquet").sort('batter_name',descending=False)
+
+            batter_name_id = dict(zip(batter_summary['batter_id'],df_player['batter_name']))
+            player_team_dict = dict(zip(batter_summary['batter_id'],df_player['batter_team']))            
+            
             df_prospects = pd.read_csv(f'data/prospects/prospects_{year}.csv')
             df_rosters = pd.read_csv(f'data/rosters/fangraphs_rosters_{year}.csv')
             df_small = df_rosters[['minorbamid','minormasterid']].dropna()