Update app.py

app.py

@@ -1112,22 +1112,6 @@ def server(input, output, session):
         team_list = [x['currentTeam']['id']for x in player_data['people']]
 
 
-        
-        player_id_final = [item for sublist in player_id for item in sublist]
-        #player_name_final = [item for sublist in player_name for item in sublist]
-        team_id_final = [item for sublist in team_id for item in sublist]
-        
-        player_list = pd.DataFrame(data={'player_id':player_id_final,'team_id':team_id_final})
-        
-        player_list = player_list.drop_duplicates(subset=['player_id'],keep='last')
-        player_df_all = player_list.merge(right=mlb_teams_df[['team_id','abbreviation']],left_on = 'team_id',right_on='team_id',how='left').drop_duplicates(keep='last')
-                
-        
-        mlb_teams_df = mlb_teams_df.merge(right=mlb_teams_df[['abbreviation','franchise']],left_on='parent_org',right_on='franchise',how='left').drop_duplicates().reset_index(drop=True)
-        mlb_teams_df = mlb_teams_df[mlb_teams_df.columns[:-1]]
-        
-        mlb_teams_df.columns = ['team_id', 'city', 'name', 'franchise', 'abbreviation',
-               'parent_org', 'parent_org_abb']
 
 
 
@@ -1158,6 +1142,38 @@ def server(input, output, session):
         # game_list = game_list_df['game_id'].unique().to_list()
         data = scrape.get_data(game_list[:])
         df = scrape.get_data_df(data)
+
+        player_id = []
+
+        team_id = []
+
+        for y in range(0,len(data_list)):
+        #print(game_df_filter.game_id.reset_index(drop=True)[y])
+            player_id.append([data_list[y]['liveData']['boxscore']['teams']['away']['players'][x]['person']['id'] if 'parentTeamId' in data_list[y]['liveData']['boxscore']['teams']['away']['players'][x] else None  for x in data_list[y]['liveData']['boxscore']['teams']['away']['players']])
+            player_id.append([data_list[y]['liveData']['boxscore']['teams']['home']['players'][x]['person']['id'] if 'parentTeamId' in data_list[y]['liveData']['boxscore']['teams']['home']['players'][x] else None  for x in data_list[y]['liveData']['boxscore']['teams']['home']['players']])
+
+            # player_name.append([data_list[y]['liveData']['boxscore']['teams']['away']['players'][x]['person']['fullName'] if 'parentTeamId' in data_list[y]['liveData']['boxscore']['teams']['away']['players'][x] else None  for x in data_list[y]['liveData']['boxscore']['teams']['away']['players']])
+            # player_name.append([data_list[y]['liveData']['boxscore']['teams']['home']['players'][x]['person']['fullName'] if 'parentTeamId' in data_list[y]['liveData']['boxscore']['teams']['home']['players'][x] else None for x in data_list[y]['liveData']['boxscore']['teams']['home']['players']])
+
+            team_id.append([data_list[y]['liveData']['boxscore']['teams']['away']['players'][x]['parentTeamId'] if 'parentTeamId' in data_list[y]['liveData']['boxscore']['teams']['away']['players'][x] else None for x in data_list[y]['liveData']['boxscore']['teams']['away']['players']])
+            team_id.append([data_list[y]['liveData']['boxscore']['teams']['home']['players'][x]['parentTeamId'] if 'parentTeamId' in data_list[y]['liveData']['boxscore']['teams']['home']['players'][x] else None for x in data_list[y]['liveData']['boxscore']['teams']['home']['players']])
+
+        
+        player_id_final = [item for sublist in player_id for item in sublist]
+        #player_name_final = [item for sublist in player_name for item in sublist]
+        team_id_final = [item for sublist in team_id for item in sublist]
+        
+        player_list = pd.DataFrame(data={'player_id':player_id_final,'team_id':team_id_final})
+        
+        player_list = player_list.drop_duplicates(subset=['player_id'],keep='last')
+        player_df_all = player_list.merge(right=mlb_teams_df[['team_id','abbreviation']],left_on = 'team_id',right_on='team_id',how='left').drop_duplicates(keep='last')
+                
+        
+        mlb_teams_df = mlb_teams_df.merge(right=mlb_teams_df[['abbreviation','franchise']],left_on='parent_org',right_on='franchise',how='left').drop_duplicates().reset_index(drop=True)
+        mlb_teams_df = mlb_teams_df[mlb_teams_df.columns[:-1]]
+        
+        mlb_teams_df.columns = ['team_id', 'city', 'name', 'franchise', 'abbreviation',
+               'parent_org', 'parent_org_abb']      
         
         
         pk_list = []