Refactor name matching logic in app.py for improved condition handling

- Updated the conditional check for contest file loading to ensure it handles both empty and valid file inputs effectively.
- Streamlined the name matching functions to enhance clarity and maintainability, ensuring proper data processing when both contest and projection files are present.
- Removed unnecessary debug output from the load_contest_file function to improve user experience.

app.py

@@ -112,16 +112,17 @@ with tab1:
                 st.success('Projections file loaded successfully!')
                 st.dataframe(st.session_state['projections_df'].head(10))
         
-    if Contest_file and projections_file:
-        st.subheader("Name Matching functions")
-        if 'Adj_Contest' not in st.session_state:
-            try:    
-                st.session_state['Adj_Contest'], st.session_state['Adj_projections_df'], st.session_state['Adj_ownership_df'], st.session_state['Adj_actual_df'] = find_name_mismatches(st.session_state['Contest'], st.session_state['projections_df'], st.session_state['ownership_df'], st.session_state['actual_df'])
-            except:
-                st.warning('Please manage name matching to move forward')
-        st.session_state['Adj_projections_df']['salary'] = (st.session_state['Adj_projections_df']['salary'].astype(str).str.replace(',', '').astype(float).astype(int))
-        st.session_state['ownership_dict'] = dict(zip(st.session_state['Adj_ownership_df']['Player'], st.session_state['Adj_ownership_df']['Own']))
-        st.session_state['actual_dict'] = dict(zip(st.session_state['Adj_actual_df']['Player'], st.session_state['Adj_actual_df']['FPTS']))
+    if Contest_file or len(Contest_file) > 0:
+        if projections_file:
+            st.subheader("Name Matching functions")
+            if 'Adj_Contest' not in st.session_state:
+                try:    
+                    st.session_state['Adj_Contest'], st.session_state['Adj_projections_df'], st.session_state['Adj_ownership_df'], st.session_state['Adj_actual_df'] = find_name_mismatches(st.session_state['Contest'], st.session_state['projections_df'], st.session_state['ownership_df'], st.session_state['actual_df'])
+                except:
+                    st.warning('Please manage name matching to move forward')
+            st.session_state['Adj_projections_df']['salary'] = (st.session_state['Adj_projections_df']['salary'].astype(str).str.replace(',', '').astype(float).astype(int))
+            st.session_state['ownership_dict'] = dict(zip(st.session_state['Adj_ownership_df']['Player'], st.session_state['Adj_ownership_df']['Own']))
+            st.session_state['actual_dict'] = dict(zip(st.session_state['Adj_actual_df']['Player'], st.session_state['Adj_actual_df']['FPTS']))
 
 
 with tab2:

global_func/load_contest_file.py

@@ -19,8 +19,6 @@ def load_contest_file(upload, sport):
             
             df = raw_df[['EntryId', 'EntryName', 'TimeRemaining', 'Points', 'Lineup', 'Player', 'Roster Position', '%Drafted', 'FPTS']]
             df = df.rename(columns={'Roster Position': 'Pos', '%Drafted': 'Own'})
-
-            st.write(df.head(10))
             
             # Split EntryName into base name and entry count
             df['BaseName'] = df['EntryName'].str.replace(r'\s*\(\d+/\d+\)$', '', regex=True)