Enhance name matching logic in app.py: improve clarity of output messages by specifying the source of matches for both portfolio and projections, and update projections DataFrame in session state with matched names for better data consistency.

app.py

@@ -155,8 +155,6 @@ with tab1:
             # Initialize projections_df in session state if it doesn't exist
             # Get unique names from portfolio
             portfolio_names = get_portfolio_names(st.session_state['portfolio'])
-            
-            # Get names from projections
             csv_names = st.session_state['csv_file']['Name'].tolist()
             projection_names = projections['player_names'].tolist()
             
@@ -172,7 +170,7 @@ with tab1:
                 if match:
                     portfolio_match_dict[portfolio_name] = match[0]
                     if match[1] < 100:
-                        st.write(f"{portfolio_name} matched to site csv {match[0]} with a score of {match[1]}%")
+                        st.write(f"{portfolio_name} matched from portfolio to site csv {match[0]} with a score of {match[1]}%")
                 else:
                     portfolio_match_dict[portfolio_name] = portfolio_name
                     unmatched_names.append(portfolio_name)
@@ -199,7 +197,31 @@ with tab1:
                 if match:
                     projections_match_dict[projections_name] = match[0]
                     if match[1] < 100:
-                        st.write(f"{projections_name} matched to site csv {match[0]} with a score of {match[1]}%")
+                        st.write(f"{projections_name} matched from projections to site csv {match[0]} with a score of {match[1]}%")
+                else:
+                    projections_match_dict[projections_name] = projections_name
+                    unmatched_proj_names.append(projections_name)
+            
+            # Update projections with matched names
+            projections['player_names'] = projections['player_names'].map(lambda x: projections_match_dict.get(x, x))
+            st.session_state['projections_df'] = projections
+
+            projections_names = st.session_state['projections_df']['player_names'].tolist()
+            portfolio_names = get_portfolio_names(st.session_state['portfolio'])
+            
+            # Create match dictionary for portfolio names to projection names
+            projections_match_dict = {}
+            unmatched_proj_names = []
+            for projections_name in projection_names:
+                match = process.extractOne(
+                    projections_name,
+                    portfolio_names,
+                    score_cutoff=85
+                )
+                if match:
+                    projections_match_dict[projections_name] = match[0]
+                    if match[1] < 100:
+                        st.write(f"{projections_name} matched from portfolio to projections {match[0]} with a score of {match[1]}%")
                 else:
                     projections_match_dict[projections_name] = projections_name
                     unmatched_proj_names.append(projections_name)