Refactor name-to-ID mapping and matching logic in app.py: streamline the process by consolidating the mapping and matching steps, improving efficiency and maintaining user experience during exports.

app.py

@@ -145,39 +145,38 @@ with tab1:
             
             # Update projections_df with any new matches
             st.session_state['projections_df'] = find_name_mismatches(st.session_state['portfolio'], st.session_state['projections_df'])
-            if 'export_dict' not in st.session_state and csv_file is not None:
-                try:
-                    name_id_map = dict(zip(
-                        st.session_state['csv_file']['Name'], 
-                        st.session_state['csv_file']['Name + ID']
-                    ))
-                except:
-                    name_id_map = dict(zip(
-                        st.session_state['csv_file']['Nickname'], 
-                        st.session_state['csv_file']['Id']
-                    ))
-                
-                # Get all names at once
-                names = projections['player_names'].tolist()
-                choices = list(name_id_map.keys())
-                
-                # Process all names in one batch
-                matches = process.extract(
-                    names,
-                    choices,
-                    scorer=fuzz.ratio,
-                    score_cutoff=85,
-                    limit=1  # Only get the best match
-                )
+            try:
+                name_id_map = dict(zip(
+                    st.session_state['csv_file']['Name'], 
+                    st.session_state['csv_file']['Name + ID']
+                ))
+            except:
+                name_id_map = dict(zip(
+                    st.session_state['csv_file']['Nickname'], 
+                    st.session_state['csv_file']['Id']
+                ))
+            
+            # Get all names at once
+            names = projections['player_names'].tolist()
+            choices = list(name_id_map.keys())
+            
+            # Process all names in one batch
+            matches = process.extract(
+                names,
+                choices,
+                scorer=fuzz.ratio,
+                score_cutoff=85,
+                limit=1  # Only get the best match
+            )
 
-                # Convert matches to dictionary
-                match_dict = {name: name_id_map[match[0][0]] if match else name 
-                            for name, match in zip(names, matches)}
+            # Convert matches to dictionary
+            match_dict = {name: name_id_map[match[0][0]] if match else name 
+                        for name, match in zip(names, matches)}
 
-                # Apply the matches
-                projections['upload_match'] = projections['player_names'].map(match_dict)
-                st.session_state['export_dict'] = dict(zip(projections['player_names'], projections['upload_match']))
-            
+            # Apply the matches
+            projections['upload_match'] = projections['player_names'].map(match_dict)
+            st.session_state['export_dict'] = dict(zip(projections['player_names'], projections['upload_match']))
+                
             st.session_state['origin_portfolio'] = st.session_state['portfolio'].copy()
 
 # with tab2: