Refactor trimming dictionary handling in app.py: initialize trimming dictionary max values in session state for improved state management and ensure accurate threshold inputs during portfolio updates.

app.py

@@ -883,13 +883,14 @@ with tab2:
             )
         col1, col2 = st.columns([2, 8])
         with col1:
-            trimming_dict_maxes = {
-                'Own': 500.0,
-                'Geomean': 500.0,
-                'Weighted Own': 500.0,
-                'median': 500.0,
-                'Finish_percentile': 1.0
-            }
+            if 'trimming_dict_maxes' not in st.session_state:
+                trimming_dict_maxes = {
+                    'Own': 500.0,
+                    'Geomean': 500.0,
+                    'Weighted Own': 500.0,
+                    'median': 500.0,
+                    'Finish_percentile': 1.0
+                }
             with st.expander('Macro Filter Options'):
                 with st.form(key='macro_filter_form'):
                     max_dupes = st.number_input("Max acceptable dupes?", value=1000, min_value=1, step=1)
@@ -943,13 +944,6 @@ with tab2:
                     if submitted:
                         st.write('initiated')
                         st.session_state['portfolio'] = predict_dupes(st.session_state['portfolio'], map_dict, site_var, type_var, Contest_Size, strength_var, sport_var)
-                        trimming_dict_maxes = {
-                            'Own': st.session_state['portfolio']['Own'].max(),
-                            'Geomean': st.session_state['portfolio']['Geomean'].max(),
-                            'Weighted Own': st.session_state['portfolio']['Weighted Own'].max(),
-                            'median': st.session_state['portfolio']['median'].max(),
-                            'Finish_percentile': st.session_state['portfolio']['Finish_percentile'].max()
-                        }
                         st.session_state['portfolio'] = st.session_state['portfolio'][st.session_state['portfolio']['Dupes'] <= max_dupes]
                         st.session_state['portfolio'] = st.session_state['portfolio'][st.session_state['portfolio']['salary'] >= min_salary]
                         st.session_state['portfolio'] = st.session_state['portfolio'][st.session_state['portfolio']['salary'] <= max_salary]
@@ -985,13 +979,13 @@ with tab2:
         with col2:
             st.write('initiated')
             st.session_state['portfolio'] = predict_dupes(st.session_state['portfolio'], map_dict, site_var, type_var, Contest_Size, strength_var, sport_var)
-            trimming_dict_maxes = {
-                            'Own': st.session_state['portfolio']['Own'].max(),
-                            'Geomean': st.session_state['portfolio']['Geomean'].max(),
-                            'Weighted Own': st.session_state['portfolio']['Weighted Own'].max(),
-                            'median': st.session_state['portfolio']['median'].max(),
-                            'Finish_percentile': st.session_state['portfolio']['Finish_percentile'].max()
-                        }
+            st.session_state['trimming_dict_maxes'] = {
+                'Own': st.session_state['portfolio']['Own'].max(),
+                'Geomean': st.session_state['portfolio']['Geomean'].max(),
+                'Weighted Own': st.session_state['portfolio']['Weighted Own'].max(),
+                'median': st.session_state['portfolio']['median'].max(),
+                'Finish_percentile': st.session_state['portfolio']['Finish_percentile'].max()
+            }
             st.session_state['portfolio'] = st.session_state['portfolio'][st.session_state['portfolio']['Dupes'] <= max_dupes]
             st.session_state['portfolio'] = st.session_state['portfolio'][st.session_state['portfolio']['salary'] >= min_salary]
             st.session_state['portfolio'] = st.session_state['portfolio'][st.session_state['portfolio']['salary'] <= max_salary]