intro CFB into sport options

app.py

@@ -185,7 +185,7 @@ if selected_tab == 'Data Load':
         sport_options, date_options = st.columns(2)
         parse_type = 'Manual'
         with sport_options:
-            sport_init = st.selectbox("Select Sport", ['MLB', 'MMA', 'GOLF', 'NBA', 'NHL', 'WNBA', 'NAS'], key='sport_init')
+            sport_init = st.selectbox("Select Sport", ['MLB', 'MMA', 'GOLF', 'NBA', 'NHL', 'CFB', 'WNBA', 'NAS'], key='sport_init')
             type_init = st.selectbox("Select Game Type", ['Classic', 'Showdown'], key='type_init')
             try:
                 contest_names, curr_info = grab_contest_names(db, sport_init, type_init)

global_func/load_contest_file.py

@@ -119,6 +119,8 @@ def load_contest_file(upload, type, helper = None, sport = None, portfolio = Non
                     cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' G ', 'F ', ' F ', ' UTIL '], value=',', regex=True)
                 elif sport == 'NAS':
                     cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' D ', 'D '], value=',', regex=True)
+                elif sport == 'CFB':
+                    cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' QB ', 'QB ', ' RB ', 'RB ', 'WR ', 'WR ', ' FLEX ', 'FLEX ', ' S-FLEX ', 'S-FLEX '], value=',', regex=True)
                 print(sport)
                 check_lineups = cleaned_df.copy()
                 if sport == 'MLB':
@@ -131,6 +133,8 @@ def load_contest_file(upload, type, helper = None, sport = None, portfolio = Non
                     cleaned_df[['Remove', 'G1', 'G2', 'F1', 'F2', 'F3', 'UTIL']] = cleaned_df['Lineup'].str.split(',', expand=True)
                 elif sport == 'NAS':
                     cleaned_df[['Remove', 'Guy', 'Dude', 'Pooba', 'Bub', 'Chief', 'Buddy']] = cleaned_df['Lineup'].str.split(',', expand=True)
+                elif sport == 'CFB':
+                    cleaned_df[['Remove', 'QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'FLEX', 'S-FLEX']] = cleaned_df['Lineup'].str.split(',', expand=True)
                 cleaned_df = cleaned_df.drop(columns=['Lineup', 'Remove'])
                 entry_counts = cleaned_df['BaseName'].value_counts()
                 cleaned_df['EntryCount'] = cleaned_df['BaseName'].map(entry_counts)
@@ -144,6 +148,8 @@ def load_contest_file(upload, type, helper = None, sport = None, portfolio = Non
                     cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'G1', 'G2', 'F1', 'F2', 'F3', 'UTIL']]
                 elif sport == 'NAS':
                     cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'Guy', 'Dude', 'Pooba', 'Bub', 'Chief', 'Buddy']]
+                elif sport == 'CFB':
+                    cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'FLEX', 'S-FLEX']]
             elif type == 'Showdown':
                 if sport == 'NHL':
                     cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' FLEX ', 'CPT '], value=',', regex=True)