Implement logic to set 'Position' and 'Team' as 'FLEX' for specific sports in app.py, enhancing player data handling for GOLF, TENNIS, MMA, NASCAR, and F1.

app.py

@@ -33,10 +33,6 @@ player_wrong_names_mlb = ['Enrique Hernandez', 'Joseph Cantillo', 'Mike Soroka',
 player_right_names_mlb = ['Kike Hernandez', 'Joey Cantillo', 'Michael Soroka', 'Jake Bauers', 'Temi Fagbenle']
 
 def create_position_export_dict(column_name, csv_file):
-    """
-    Create a position-specific export dictionary based on the column name.
-    Strips numbers from column names to get the position (e.g., 'SP1' -> 'SP', 'G2' -> 'G')
-    """
     try:
         # Remove any numbers from the column name to get the position
         import re
@@ -163,6 +159,25 @@ with tab1:
             st.session_state['csv_file']['Salary'] = st.session_state['csv_file']['Salary'].astype(str).str.replace(',', '').astype(int)
         except:
             pass
+
+        if type_var == 'Showdown':
+            st.session_state['csv_file']['Position'] = 'FLEX'
+        
+        if sport_var == 'GOLF':
+            st.session_state['csv_file']['Position'] = 'FLEX'
+            st.session_state['csv_file']['Team'] = 'GOLF'
+        elif sport_var == 'TENNIS':
+            st.session_state['csv_file']['Position'] = 'FLEX'
+            st.session_state['csv_file']['Team'] = 'TENNIS'
+        elif sport_var == 'MMA':
+            st.session_state['csv_file']['Position'] = 'FLEX'
+            st.session_state['csv_file']['Team'] = 'MMA'
+        elif sport_var == 'NASCAR':
+            st.session_state['csv_file']['Position'] = 'FLEX'
+            st.session_state['csv_file']['Team'] = 'NASCAR'
+        elif sport_var == 'F1':
+            st.session_state['csv_file']['Position'] = 'FLEX'
+            st.session_state['csv_file']['Team'] = 'F1'
             
         if csv_file:
             # st.session_state['csv_file'] = st.session_state['csv_file'].drop_duplicates(subset=['Name'])