getting NFL ready and set

app.py

@@ -250,7 +250,7 @@ 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', 'CFB', 'WNBA', 'NAS'], key='sport_init')
+            sport_init = st.selectbox("Select Sport", ['NFL', '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)
@@ -718,14 +718,14 @@ if selected_tab == 'Contest Analysis':
                         with col1:
                             pos_var = st.selectbox("Which position(s) would you like to view?",  ['All', 'Specific'], key='pos_var')
                         with col2:
-                            if st.session_state['sport_select'] == 'MLB':
+                            if st.session_state['sport_select'] == 'NFL':
+                                pos_select = st.multiselect("Select your position(s)", ['QB', 'RB', 'WR', 'TE', 'DST'], key='pos_select')
+                            elif st.session_state['sport_select'] == 'MLB':
                                 pos_select = st.multiselect("Select your position(s)", ['P', 'C', '1B', '2B', '3B', 'SS', 'OF'], key='pos_select')
                             elif st.session_state['sport_select'] == 'NBA':
                                 pos_select = st.multiselect("Select your position(s)", ['PG', 'SG', 'SF', 'PF', 'C'], key='pos_select')
                             elif st.session_state['sport_select'] == 'WNBA':
                                 pos_select = st.multiselect("Select your position(s)", ['PG', 'SG', 'SF', 'PF'], key='pos_select')
-                            elif st.session_state['sport_select'] == 'NFL':
-                                pos_select = st.multiselect("Select your position(s)", ['QB', 'RB', 'WR', 'TE', 'DST'], key='pos_select')
                             elif st.session_state['sport_select'] == 'NHL':
                                 pos_select = st.multiselect("Select your position(s)", ['W', 'C', 'D', 'G'], key='pos_select')
                             elif st.session_state['sport_select'] == 'MMA':

global_func/load_contest_file.py

@@ -109,7 +109,9 @@ def load_contest_file(upload, type, helper = None, sport = None, portfolio = Non
             # Create the cleaned dataframe with just the essential columns
             cleaned_df = df[['BaseName', 'Lineup']]
             if type == 'Classic':
-                if sport == 'MLB':
+                if sport == 'NFL':
+                    cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' QB ', 'QB ', ' RB ', 'RB ', ' WR ', 'WR ', ' TE ', 'TE ', ' DST ', 'DST ', ' FLEX ', 'FLEX '], value=',', regex=True)
+                elif sport == 'MLB':
                     cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' P ', ' C ', '1B ', ' 2B ', ' 3B ', ' SS ', ' OF '], value=',', regex=True)
                 elif sport == 'MMA':
                     cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' P ', ' C ', '1B ', ' 2B ', ' 3B ', ' SS ', ' OF ', ' F ', 'F '], value=',', regex=True)
@@ -123,7 +125,9 @@ def load_contest_file(upload, type, helper = None, sport = None, portfolio = Non
                     cleaned_df['Lineup'] = cleaned_df['Lineup'].replace([' QB ', 'QB ', ' RB ', 'RB ', 'WR ', 'WR ', ' S-FLEX ', 'S-FLEX ', ' FLEX ', 'FLEX '], value=',', regex=True)
                 print(sport)
                 check_lineups = cleaned_df.copy()
-                if sport == 'MLB':
+                if sport == 'NFL':
+                    cleaned_df[['Remove', 'DST', 'FLEX', 'QB', 'RB1', 'RB2', 'TE', 'WR1', 'WR2', 'WR3']] = cleaned_df['Lineup'].str.split(',', expand=True)
+                elif sport == 'MLB':
                     cleaned_df[['Remove', '1B', '2B', '3B', 'C', 'OF1', 'OF2', 'OF3', 'P1', 'P2', 'SS']] = cleaned_df['Lineup'].str.split(',', expand=True)
                 elif sport == 'MMA':
                     cleaned_df[['Remove', 'Guy', 'Dude', 'Pooba', 'Bub', 'Chief', 'Buddy']] = cleaned_df['Lineup'].str.split(',', expand=True)
@@ -138,7 +142,9 @@ def load_contest_file(upload, type, helper = None, sport = None, portfolio = Non
                 cleaned_df = cleaned_df.drop(columns=['Lineup', 'Remove'])
                 entry_counts = cleaned_df['BaseName'].value_counts()
                 cleaned_df['EntryCount'] = cleaned_df['BaseName'].map(entry_counts)
-                if sport == 'MLB':
+                if sport == 'NFL':
+                    cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST']]
+                elif sport == 'MLB':
                     cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'P1', 'P2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']]
                 elif sport == 'MMA':
                     cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'Guy', 'Dude', 'Pooba', 'Bub', 'Chief', 'Buddy']]