Enhance export matching functionality in app.py: replace fuzzywuzzy with rapidfuzz for improved performance, and streamline the name-to-ID mapping process by processing all names in a batch, enhancing efficiency and user experience during exports.

app.py

@@ -3,7 +3,7 @@ st.set_page_config(layout="wide")
 import numpy as np
 import pandas as pd
 import time
-from fuzzywuzzy import process
+from rapidfuzz import process, fuzz
 import random
 
 ## import global functions
@@ -145,6 +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
+                )
+
+                # 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']))
             
             st.session_state['origin_portfolio'] = st.session_state['portfolio'].copy()
 
@@ -855,30 +887,6 @@ with tab2:
                 )
                 st.session_state['portfolio'] = st.session_state['portfolio'][lock_mask]
             st.session_state['portfolio'] = st.session_state['portfolio'].sort_values(by='median', ascending=False)
-            if st.button('Prepare exports'):
-                # Create a dictionary of Name to Name+ID from csv_file
-                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']
-                    ))
-                
-                # Function to find best match
-                def find_best_match(name):
-                    best_match = process.extractOne(name, name_id_map.keys())
-                    if best_match and best_match[1] >= 85:  # 85% match threshold
-                        return name_id_map[best_match[0]]
-                    return name  # Return original name if no good match found
-                
-                # Apply the matching
-                projections['upload_match'] = projections['player_names'].apply(find_best_match)
-                st.session_state['export_dict'] = dict(zip(projections['player_names'], projections['upload_match']))
-            st.info('Click the above option after you have set up your portfolio if you want to export it as a set ready to upload to DFS sites')
             with st.expander("Download options"):
                 if stack_dict is not None:
                     download_type = st.selectbox("Simple or Advanced Download?", options=['Simple', 'Advanced'], key='download_choice')