Enhance load_contest_file function to return cleaned lineups

- Updated the load_contest_file function to return a new variable, check_lineups, containing a copy of the cleaned lineup data for further processing in app.py.
- Integrated check_lineups into app.py to display the cleaned lineups in a table, improving data visibility and user experience.
- These changes continue the effort to refine data handling and enhance the overall functionality of the application.

app.py

@@ -85,7 +85,7 @@ with tab1:
                 del st.session_state['Contest']
 
         if 'Contest_file' in st.session_state and 'Adj_Contest' not in st.session_state:
-            st.session_state['Contest'], st.session_state['ownership_df'], st.session_state['actual_df'], st.session_state['salary_df'], st.session_state['team_df'], st.session_state['pos_df'], st.session_state['entry_list'] = load_contest_file(st.session_state['Contest_file'], sport_select)
+            st.session_state['Contest'], st.session_state['ownership_df'], st.session_state['actual_df'], st.session_state['salary_df'], st.session_state['team_df'], st.session_state['pos_df'], st.session_state['entry_list'], check_lineups = load_contest_file(st.session_state['Contest_file'], sport_select)
             st.session_state['Contest'] = st.session_state['Contest'].dropna(how='all')
             st.session_state['Contest'] = st.session_state['Contest'].reset_index(drop=True)
             if st.session_state['Contest'] is not None:
@@ -98,6 +98,7 @@ with tab1:
         st.session_state['salary_dict'] = dict(zip(st.session_state['salary_df']['Player'], st.session_state['salary_df']['Salary']))
         st.session_state['team_dict'] = dict(zip(st.session_state['team_df']['Player'], st.session_state['team_df']['Team']))
         st.session_state['pos_dict'] = dict(zip(st.session_state['pos_df']['Player'], st.session_state['pos_df']['Pos']))
+        st.table(check_lineups)
 
 with tab2:
     excluded_cols = ['BaseName', 'EntryCount']

global_func/load_contest_file.py

@@ -42,7 +42,7 @@ def load_contest_file(upload, sport):
             # Create the cleaned dataframe with just the essential columns
             cleaned_df = df[['BaseName', 'EntryCount', 'Lineup']]
             cleaned_df['Lineup'] = cleaned_df['Lineup'].replace(pos_list, value=',', regex=True)
-            print(cleaned_df['Lineup'])
+            check_lineups = cleaned_df.copy()
             cleaned_df[['Remove', '1B', '2B', '3B', 'C', 'OF1', 'OF2', 'OF3', 'P1', 'P2', 'SS']] = cleaned_df['Lineup'].str.split(',', expand=True)
             cleaned_df = cleaned_df.drop(columns=['Lineup', 'Remove'])
             cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'P1', 'P2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']]
@@ -51,7 +51,7 @@ def load_contest_file(upload, sport):
             entry_list = list(set(df['BaseName']))
             entry_list.sort()
             
-            return cleaned_df, ownership_df, fpts_df, salary_df, team_df, pos_df, entry_list
+            return cleaned_df, ownership_df, fpts_df, salary_df, team_df, pos_df, entry_list, check_lineups
             
         except Exception as e:
             st.error(f'Error loading file: {str(e)}')