Update app.py

app.py

@@ -130,22 +130,22 @@ def server(input, output, session):
     def spring_data():
         
         import polars as pl
-        df_spring = pl.read_parquet(f"hf://datasets/TJStatsApps/mlb_data/data/mlb_pitch_data_2025_spring.parquet")
+        df_spring = pl.read_parquet(f"hf://datasets/TJStatsApps/mlb_data/data/mlb_pitch_data_2025.parquet")
 
 
-        # date = (datetime.datetime.now() - datetime.timedelta(hours=8)).date()
-        # print(datetime.datetime.now())
-        # date_str = date.strftime('%Y-%m-%d')
-        # # Initialize the scraper
+        date = (datetime.datetime.now() - datetime.timedelta(hours=8)).date()
+        print(datetime.datetime.now())
+        date_str = date.strftime('%Y-%m-%d')
+        # Initialize the scraper
 
 
-        # game_list_input = (scraper.get_schedule(year_input=[int(date_str[0:4])], sport_id=[1], game_type=['S'])
-        #             .filter(pl.col('date') == date)['game_id'])
+        game_list_input = (scraper.get_schedule(year_input=[int(date_str[0:4])], sport_id=[1], game_type=['R'])
+                    .filter(pl.col('date') == date)['game_id'])
 
-        # data = scraper.get_data(game_list_input)
-        # df = scraper.get_data_df(data)
+        data = scraper.get_data(game_list_input)
+        df = scraper.get_data_df(data)
 
-        # df_spring = pl.concat([df_spring, df]).sort('game_date', descending=True)
+        df_spring = pl.concat([df_spring, df]).sort('game_date', descending=True)
 
         return df_spring.filter(pl.col('start_speed')>0)