Enhance app.py to include F1 in sport selection and implement position and team variable assignments based on selected sport. Update projections to reflect these variables for GOLF, TENNIS, MMA, NASCAR, and F1, improving data handling for player eligibility.

app.py

@@ -42,11 +42,30 @@ with st.container():
         site_var = st.selectbox("Select Site", ['Draftkings', 'Fanduel'])
 
     with col3:
-        sport_var = st.selectbox("Select Sport", ['NFL', 'MLB', 'NBA', 'NHL', 'MMA', 'CS2', 'LOL', 'TENNIS', 'NASCAR', 'GOLF', 'WNBA'])
+        sport_var = st.selectbox("Select Sport", ['NFL', 'MLB', 'NBA', 'NHL', 'MMA', 'CS2', 'LOL', 'TENNIS', 'NASCAR', 'GOLF', 'WNBA', 'F1'])
         
     with col4:
         type_var = st.selectbox("Select Game Type", ['Classic', 'Showdown'])
     
+    if sport_var == 'GOLF':
+        position_var = 'G'
+        team_var = 'GOLF'
+    elif sport_var == 'TENNIS':
+        position_var = 'T'
+        team_var = 'TENNIS'
+    elif sport_var == 'MMA':
+        position_var = 'F'
+        team_var = 'MMA'
+    elif sport_var == 'NASCAR':
+        position_var = 'D'
+        team_var = 'NASCAR'
+    elif sport_var == 'F1':
+        position_var = 'D'
+        team_var = 'F1'
+    else:
+        position_var = None
+        team_var = None
+
     if site_var == 'Draftkings':
         salary_max = 50000
     elif site_var == 'Fanduel':
@@ -203,6 +222,12 @@ with tab1:
                     projections = projections.drop(columns='CPT_Own_raw', axis=1)
                             
                 projections = projections.apply(lambda x: x.replace(player_wrong_names_mlb, player_right_names_mlb))
+                ### if the position column is empty, set to sport_var appropriate position
+                if position_var is not None:
+                    projections['position'] = position_var
+                if team_var is not None:
+                    projections['team'] = team_var
+
                 st.dataframe(projections.head(10))
 
     if portfolio_file and projections_file:

global_func/exposure_spread.py

@@ -113,6 +113,8 @@ def check_tennis_position_eligibility(column_name, player_positions):
     Returns:
         bool: True if player is eligible for the column
     """
+    if 'FLEX' in column_name:
+        return any(pos in ['T'] for pos in player_positions)
     return True
 
 def check_mma_position_eligibility(column_name, player_positions):
@@ -126,6 +128,8 @@ def check_mma_position_eligibility(column_name, player_positions):
     Returns:
         bool: True if player is eligible for the column
     """
+    if 'FLEX' in column_name:
+        return any(pos in ['F'] for pos in player_positions)
     return True
 
 def check_nascar_position_eligibility(column_name, player_positions):
@@ -139,6 +143,8 @@ def check_nascar_position_eligibility(column_name, player_positions):
     Returns:
         bool: True if player is eligible for the column
     """
+    if 'FLEX' in column_name:
+        return any(pos in ['D'] for pos in player_positions)
     return True
 
 def check_cfb_position_eligibility(column_name, player_positions):