Update app.py

app.py

@@ -439,48 +439,90 @@ def server(input, output, session):
     @output
     @render.data_frame
     def season_stats():
-        season = int(str(input.date_input())[:4])
-        url_season = url = f"""
-           https://www.fangraphs.com/api/leaders/major-league/data?age=&pos=all&stats=pit&lg=all&season={season}&season1={season}
-           &startdate={season}-01-01&enddate={season}-12-01&ind=0&qual=0&type=8&month=33&pageitems=500000
-           """
 
-        url_day = f"""
-        
-
-        https://www.fangraphs.com/api/leaders/major-league/data?age=&pos=all&stats=pit&lg=all&qual=y&season={season}&season1={season}
-        &startdate={season}-03-01&enddate={season}-11-01
-        &month=34&hand=&team=0&pageitems=500000&ind=0&rost=0&players=&type=8
-        &sortstat=WAR
+        if int(input.sport_id()) == 1:
+            season = int(str(input.date_input())[:4])
+            url_season = url = f"""
+               https://www.fangraphs.com/api/leaders/major-league/data?age=&pos=all&stats=pit&lg=all&season={season}&season1={season}
+               &startdate={season}-01-01&enddate={season}-12-01&ind=0&qual=0&type=8&month=33&pageitems=500000
+               """
+    
+            url_day = f"""
+            
+    
+            https://www.fangraphs.com/api/leaders/major-league/data?age=&pos=all&stats=pit&lg=all&qual=y&season={season}&season1={season}
+            &startdate={season}-03-01&enddate={season}-11-01
+            &month=34&hand=&team=0&pageitems=500000&ind=0&rost=0&players=&type=8
+            &sortstat=WAR
+                    
+            """
+            data_season = requests.get(url_season).json()
+            df_season = pl.DataFrame(data=data_season['data'], infer_schema_length=1000)
+            df_season = df_season.with_columns(pl.lit('Season').alias('Time'))
+    
+            data_day = requests.get(url_day).json()
+    
+            if data_day['dateRange'][:10] == str(input.date_input()):
+                df_day = pl.DataFrame(data=data_day['data'], infer_schema_length=1000)
+                df_day = df_day.with_columns(pl.lit('Today').alias('Time'))
+    
+                df_all = pl.DataFrame(pd.concat([df_day.to_pandas(),df_season.to_pandas()]))
+    
+                df_player =  df_all.filter(pl.col('xMLBAMID')==int(input.pitcher_id()))
+    
+            else:
+    
+                df_player =  df_season.filter(pl.col('xMLBAMID')==int(input.pitcher_id()))
                 
-        """
-        data_season = requests.get(url_season).json()
-        df_season = pl.DataFrame(data=data_season['data'], infer_schema_length=1000)
-        df_season = df_season.with_columns(pl.lit('Season').alias('Time'))
-
-        data_day = requests.get(url_day).json()
-
-        if data_day['dateRange'][:10] == str(input.date_input()):
-            df_day = pl.DataFrame(data=data_day['data'], infer_schema_length=1000)
-            df_day = df_day.with_columns(pl.lit('Today').alias('Time'))
-
-            df_all = pl.DataFrame(pd.concat([df_day.to_pandas(),df_season.to_pandas()]))
-
-            df_player =  df_all.filter(pl.col('xMLBAMID')==int(input.pitcher_id()))
-
+            
+            return render.DataGrid(
+                    df_player.select(['Time','IP','TBF','R','ER','SO','BB','ERA','FIP','WHIP']).to_pandas().round(2),
+                    row_selection_mode='multiple',
+                     height='700px',
+                    width='fit-content',
+                )        
         else:
 
-            df_player =  df_season.filter(pl.col('xMLBAMID')==int(input.pitcher_id()))
+            d = scrape.get_data([int(input.game_id())])
             
-        
-        return render.DataGrid(
-                df_player.select(['Time','IP','TBF','R','ER','SO','BB','ERA','FIP','WHIP']).to_pandas().round(2),
-                row_selection_mode='multiple',
-                 height='700px',
-                width='fit-content',
-            )        
-        
-                
+            player_id = f'ID{int(input.pitcher_id())}'
+            
+            home_players = d[0]['liveData']['boxscore']['teams']['home']['players']
+            away_players = d[0]['liveData']['boxscore']['teams']['away']['players']
+            
+            if player_id in home_players:
+                batters_faced = home_players[player_id]['stats']['pitching']['battersFaced']
+                team_side = 'home'
+            elif player_id in away_players:
+                batters_faced = away_players[player_id]['stats']['pitching']['battersFaced']
+                team_side = 'away'
+            else:
+                batters_faced = None
+                team_side = None
+            
+            
+            pitches = d[0]['liveData']['boxscore']['teams'][team_side]['players'][player_id]['stats']['pitching']['pitchesThrown']
+            battersFaced = d[0]['liveData']['boxscore']['teams'][team_side]['players'][player_id]['stats']['pitching']['battersFaced']
+            runs = d[0]['liveData']['boxscore']['teams'][team_side]['players'][player_id]['stats']['pitching']['runs']
+            earnedRuns = d[0]['liveData']['boxscore']['teams'][team_side]['players'][player_id]['stats']['pitching']['earnedRuns']
+            strikeOuts = d[0]['liveData']['boxscore']['teams'][team_side]['players'][player_id]['stats']['pitching']['strikeOuts']
+            baseOnBalls = d[0]['liveData']['boxscore']['teams'][team_side]['players'][player_id]['stats']['pitching']['baseOnBalls']
+            
+            df_player = pl.DataFrame({
+                'pitches': int(pitches),
+                'battersFaced': int(battersFaced),
+                'runs': int(runs),
+                'earnedRuns': int(earnedRuns),
+                'strikeOuts': int(strikeOuts),
+                'baseOnBalls': int(baseOnBalls)
+            })    
+            
+            return render.DataGrid(
+                    df_player.to_pandas().round(2),
+                    row_selection_mode='multiple',
+                     height='700px',
+                    width='fit-content',
+                )                   
     
     @output
     @render.plot