Refactor portfolio upload functionality in app.py for improved data processing

- Updated the portfolio upload section to enhance user experience by allowing direct comparison of portfolio performance against contest data.
- Implemented data cleaning for uploaded portfolio files, ensuring whitespace and unwanted characters are removed from column values.
- Adjusted the display logic to show portfolio data alongside contest data, improving visibility for users.

app.py

@@ -171,17 +171,19 @@ with tab1:
                 pass
     
     with portfolio_upload:
-        st.info("If you have a portfolio of lineups, you can upload them here to see how they perform against the field")
-        if st.button('Load Portfolio Data', key='load_portfolio_data'):
-            st.session_state['portfolio_file'] = st.file_uploader("Upload Portfolio File (CSV or Excel)", type=['csv', 'xlsx', 'xls'])
-            if st.session_state['portfolio_file'] is not None:
-                st.session_state['portfolio_df'] = pd.read_csv(st.session_state['portfolio_file'])
-                st.session_state['portfolio_df'] = st.session_state['portfolio_df'].columns = ['P1', 'P2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']
-                st.session_state['portfolio_df']['BaseName'] = 'Backtesting_upload'
-                st.session_state['portfolio_df']['EntryCount'] = len(st.session_state['portfolio_df'])
-                st.session_state['portfolio_df'] = st.session_state['portfolio_df'][['BaseName', 'EntryCount', 'P1', 'P2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']]
-            else:
-                pass
+        st.info("If you have a portfolio of lineups, you can upload them here to see how they would have performed against the field")
+        st.session_state['portfolio_file'] = st.file_uploader("Upload Portfolio File (CSV or Excel)", type=['csv', 'xlsx', 'xls'])
+        st.session_state['portfolio_df'] = pd.read_csv(st.session_state['portfolio_file'])
+        original_columns = st.session_state['portfolio_df'].columns.tolist()
+        
+        for col in original_columns:
+            st.session_state['portfolio_df'][col] = st.session_state['portfolio_df'][col].astype(str).str.replace(r'\s*\([^)]*\)', '', regex=True).str.strip()
+        
+        st.session_state['portfolio_df']['BaseName'] = 'Backtesting_upload'
+        st.session_state['portfolio_df']['EntryCount'] = len(st.session_state['portfolio_df'])
+        
+        st.session_state['portfolio_df'] = st.session_state['portfolio_df'][['BaseName', 'EntryCount'] + original_columns]
+            
 
     if 'Contest_file' in st.session_state:
         st.session_state['Contest'], st.session_state['ownership_df'], st.session_state['actual_df'], st.session_state['entry_list'], check_lineups = load_contest_file(st.session_state['Contest_file'], type_var, st.session_state['player_info'], sport_select)
@@ -201,7 +203,13 @@ with tab1:
                     st.info(return_message)
                 except:
                     pass
+            st.write('Contest data:')
             st.dataframe(st.session_state['Contest'].head(100))
+            if 'portfolio_df' in st.session_state:
+                st.write('Portfolio data:')
+                st.dataframe(st.session_state['portfolio_df'].head(100))
+            else:
+                pass
         
     if 'Contest_file' in st.session_state:
         st.session_state['ownership_dict'] = dict(zip(st.session_state['ownership_df']['Player'], st.session_state['ownership_df']['Own']))