Update app.py

app.py

@@ -24,17 +24,17 @@ from datetime import datetime, timedelta
 year_input = 2024
 
 
-# schedule_spring = mlb_stats.get_schedule(year_input=2024,
-#                        sport_id=1,
-#                        start_date='2024-01-01',
-#                        end_date='2024-12-31',
-#                        final=False,
-#                        regular=True,
-#                        spring=False)
+schedule_spring = mlb_stats.get_schedule(year_input=2024,
+                       sport_id=1,
+                       start_date='2024-01-01',
+                       end_date='2024-12-31',
+                       final=False,
+                       regular=True,
+                       spring=False)
 
-# schedule_spring = schedule_spring.drop_duplicates(subset=['game_id'])
+schedule_spring = schedule_spring.drop_duplicates(subset=['game_id'])
 
-# schedule_spring = schedule_spring[(schedule_spring['date']==(datetime.today() - timedelta(hours=8)).date())]
+schedule_spring = schedule_spring[(schedule_spring['date']==(datetime.today() - timedelta(hours=8)).date())]
 
 
 
@@ -46,6 +46,19 @@ df_2023_mlb = dataset_train.to_pandas().set_index(list(dataset_train.features.ke
 
 from api_scraper import MLB_Scrape
 mlb_stats = MLB_Scrape()
+schedule_spring = mlb_stats.get_schedule(year_input=2024,
+                       sport_id=1,
+                       start_date='2024-01-01',
+                       end_date='2024-12-31',
+                       final=False,
+                       regular=True,
+                       spring=False)
+
+schedule_spring = schedule_spring.drop_duplicates(subset=['game_id'])
+
+schedule_spring = schedule_spring[(schedule_spring['date']==(datetime.today() - timedelta(hours=8)).date())]
+
+
 data = mlb_stats.get_data(schedule_spring.game_id[:].values)
 df_2023_new = mlb_stats.get_data_df(data_list = data)
 df_2023 = pd.concat([df_2023_mlb,df_2023_new])