Refactor contest name handling in app.py to combine contest names with their corresponding dates. Removed the contest ID map from the return values of grab_contest_names function to streamline data retrieval, while maintaining the necessary information for subsequent processing.

app.py

@@ -27,10 +27,9 @@ def grab_contest_names(db, sport, type):
     curr_info = pd.DataFrame(list(cursor)).drop('_id', axis=1)
     curr_info['Date'] = pd.to_datetime(curr_info['Contest Date'].sort_values(ascending = False))
     curr_info['Date'] = curr_info['Date'].dt.strftime('%Y-%m-%d')
-    contest_names = curr_info['Contest Name']
-    contest_id_map = dict(zip(curr_info['Contest Name'], curr_info['Contest ID']))
+    contest_names = curr_info['Contest Name'] + ' - ' + curr_info['Date']
     
-    return contest_names, contest_id_map, curr_info
+    return contest_names, curr_info
 
 def grab_contest_player_info(db, sport, type, contest_date, contest_name, contest_id_map):
     if type == 'Classic':
@@ -86,7 +85,7 @@ with tab1:
         with sport_options:
             sport_select = st.selectbox("Select Sport", ['MLB', 'MMA', 'GOLF'], key='sport_select')
             type_var = st.selectbox("Select Game Type", ['Classic', 'Showdown'], key='type_var')
-            contest_names, contest_id_map, curr_info = grab_contest_names(db, sport_select, type_var)
+            contest_names, curr_info = grab_contest_names(db, sport_select, type_var)
             
         with date_options:
             date_list = curr_info['Date'].sort_values(ascending=False).unique()
@@ -95,6 +94,7 @@ with tab1:
             date_select2 = (pd.to_datetime(date_select) + pd.Timedelta(days=1)).strftime('%Y-%m-%d')
             
             name_parse = curr_info[curr_info['Date'] == date_select]['Contest Name'].reset_index(drop=True)
+            contest_id_map = dict(zip(name_parse, curr_info[curr_info['Date'] == date_select]['Contest ID']))
             date_select = date_select.replace('-', '')
             date_select2 = date_select2.replace('-', '')