Refactor trimming logic in app.py: streamline the portfolio trimming process by creating a copy of the working_frame before applying the trim function, and restore the display frame selection functionality for improved user experience.

app.py

@@ -995,17 +995,9 @@ with tab2:
                     submitted = st.form_submit_button("Trim")
                     if submitted:
                         st.write('initiated')
-                        st.session_state['working_frame'] = predict_dupes(st.session_state['working_frame'], st.session_state['map_dict'], site_var, type_var, Contest_Size, strength_var, sport_var)
-                        if 'trimming_dict_maxes' not in st.session_state:
-                            st.session_state['trimming_dict_maxes'] = {
-                                'Own': st.session_state['working_frame']['Own'].max(),
-                                'Geomean': st.session_state['working_frame']['Geomean'].max(),
-                                'Weighted Own': st.session_state['working_frame']['Weighted Own'].max(),
-                                'median': st.session_state['working_frame']['median'].max(),
-                                'Finish_percentile': st.session_state['working_frame']['Finish_percentile'].max()
-                            }
+                        parsed_frame = st.session_state['working_frame'].copy()
                         
-                        st.session_state['working_frame'] = trim_portfolio(st.session_state['working_frame'], trim_slack_var, performance_type, own_type, performance_threshold_high, performance_threshold_low, own_threshold_high, own_threshold_low)
+                        st.session_state['working_frame'] = trim_portfolio(parsed_frame, trim_slack_var, performance_type, own_type, performance_threshold_high, performance_threshold_low, own_threshold_high, own_threshold_low)
                         st.session_state['working_frame'] = st.session_state['working_frame'].sort_values(by='median', ascending=False)
                         st.session_state['export_merge'] = st.session_state['working_frame'].copy()
 
@@ -1092,17 +1084,16 @@ with tab2:
                 with download_port:
                     st.download_button(label="Download Portfolio", data=st.session_state['export_file'].to_csv(index=False), file_name="portfolio.csv", mime="text/csv")
                 with merge_port:
-                    st.info("Working on this, ignore for now")
                     if st.button("Add to export"):
                         st.session_state['export_base'] = pd.concat([st.session_state['export_base'], st.session_state['export_merge']])
             else:
                 st.error("No portfolio to download")
             
-            # display_frame_source = st.selectbox("Display:", options=['Portfolio', 'Export Base'], key='display_frame_source')
-            # if display_frame_source == 'Portfolio':
-            #     display_frame = st.session_state['working_frame']
-            # elif display_frame_source == 'Export Base':
-            #     display_frame = st.session_state['export_base']
+            display_frame_source = st.selectbox("Display:", options=['Portfolio', 'Export Base'], key='display_frame_source')
+            if display_frame_source == 'Portfolio':
+                display_frame = st.session_state['working_frame']
+            elif display_frame_source == 'Export Base':
+                display_frame = st.session_state['export_base']
             display_frame = st.session_state['working_frame']
             total_rows = len(display_frame)
             rows_per_page = 500