Some more introduction of NASCAR stuff including different function calls.

app.py

@@ -1317,6 +1317,14 @@ with st.container():
         pga_showdown_salaries = grab_pga_showdown_salaries()
     except:
         pga_showdown_salaries = None
+    try:
+        nascar_reg_salaries = grab_nascar_reg_salaries(slate_var3)
+    except:
+        nascar_reg_salaries = None
+    try:
+        nascar_showdown_salaries = grab_nascar_showdown_salaries()
+    except:
+        nascar_showdown_salaries = None
 
 try:
     selected_tab = st.segmented_control(
@@ -1383,6 +1391,11 @@ if selected_tab == 'Data Load':
                         st.session_state['csv_file'] = load_csv(pga_reg_salaries)
                     elif type_var == 'Showdown':
                         st.session_state['csv_file'] = load_csv(pga_showdown_salaries)
+                elif sport_var == 'NASCAR':
+                    if type_var == 'Classic':
+                        st.session_state['csv_file'] = load_csv(nascar_reg_salaries)
+                    elif type_var == 'Showdown':
+                        st.session_state['csv_file'] = load_csv(nascar_showdown_salaries)
                 st.session_state['pricing_loaded'] = True
                 
             try:
@@ -1463,6 +1476,8 @@ if selected_tab == 'Data Load':
                             portfolio_load = init_DK_MMA_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
                         elif sport_var == 'GOLF':
                             portfolio_load = init_DK_PGA_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
+                        elif sport_var == 'NASCAR':
+                            portfolio_load = init_DK_NASCAR_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
                     else:
                         if sport_var == 'NBA':
                             portfolio_load = init_DK_NBA_lineups(type_var, nba_slate_name_lookup_dk[slate_var3], prio_var, 50, dk_nba_showdown_db_translation, lineup_num_var, salary_min_var, salary_max_var, [])
@@ -1474,6 +1489,8 @@ if selected_tab == 'Data Load':
                             portfolio_load = init_DK_MMA_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
                         elif sport_var == 'GOLF':
                             portfolio_load = init_DK_PGA_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
+                        elif sport_var == 'NASCAR':
+                            portfolio_load = init_DK_NASCAR_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
 
                     st.session_state['db_portfolio_file'] = pd.DataFrame(portfolio_load)
                     st.session_state['portfolio_loaded'] = True
@@ -1493,6 +1510,8 @@ if selected_tab == 'Data Load':
                             portfolio_load = init_FD_MMA_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
                         elif sport_var == 'GOLF':
                             portfolio_load = init_FD_PGA_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
+                        elif sport_var == 'NASCAR':
+                            portfolio_load = init_FD_NASCAR_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
                     else:
                         if sport_var == 'NBA':
                             portfolio_load = init_FD_NBA_lineups(type_var, nba_slate_name_lookup_fd[slate_var3], prio_var, 50, fd_nba_showdown_db_translation, lineup_num_var, salary_min_var, salary_max_var, [])
@@ -1504,6 +1523,8 @@ if selected_tab == 'Data Load':
                             portfolio_load = init_FD_MMA_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
                         elif sport_var == 'GOLF':
                             portfolio_load = init_FD_PGA_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
+                        elif sport_var == 'NASCAR':
+                            portfolio_load = init_FD_NASCAR_lineups(type_var, slate_var3, prio_var, 50, lineup_num_var, salary_min_var, salary_max_var, [])
 
                     st.session_state['db_portfolio_file'] = pd.DataFrame(portfolio_load)
                     st.session_state['portfolio_loaded'] = True