Update app.py

app.py

@@ -56,6 +56,11 @@ split_dict_hand =  {'all':['L','R'],
                'left':['L'],
                'right':['R']}
 
+
+type_dict =  {'R':'Regular Season',
+               'S':'Spring',
+               'P':'Playoffs' }
+
 from shiny import App, reactive, ui, render
 from shiny.ui import h2, tags
 
@@ -65,8 +70,9 @@ app_ui = ui.page_fluid(
         ui.panel_sidebar(
             # Row for selecting season and level
             ui.row(
-                ui.column(6, ui.input_select('year_input', 'Select Season', year_list, selected=2024)),
-                ui.column(6, ui.input_select('level_input', 'Select Level', level_dict))
+                ui.column(4, ui.input_select('year_input', 'Select Season', year_list, selected=2024)),
+                ui.column(4, ui.input_select('level_input', 'Select Level', level_dict)),
+                ui.column(4, ui.input_select('type_input', 'Select Type', type_dict,selected='R'))
             ),
             # Row for the action button to get player list
             ui.row(ui.input_action_button("player_button", "Get Player List", class_="btn-primary")),
@@ -119,7 +125,8 @@ def server(input, output, session):
                                                 season = year_input, 
                                                 player_id = player_input,
                                                 start_date = start_date,
-                                                end_date = end_date)
+                                                end_date = end_date,
+                                                game_type = [input.type_input()])
 
         data_list = scrape.get_data(game_list_input = game_list[:])
         df = (stuff_apply.stuff_apply(fe.feature_engineering(update.update(scrape.get_data_df(data_list = data_list).filter(
@@ -136,7 +143,7 @@ def server(input, output, session):
     @reactive.event(input.player_button, ignore_none=False)
     def player_select_ui():
         # Get the list of pitchers for the selected level and season
-        df_pitcher_info = scrape.get_players(sport_id=int(input.level_input()), season=int(input.year_input())).filter(
+        df_pitcher_info = scrape.get_players(sport_id=int(input.level_input()), season=int(input.year_input()), game_type = [input.type_input()]).filter(
             pl.col("position").is_in(['P','TWP'])).sort("name")
         
         # Create a dictionary of pitcher IDs and names