Implement portfolio reset feature in app.py: add functionality to restore the original portfolio state and streamline the reset process for improved user experience in managing projections.

app.py

@@ -168,6 +168,8 @@ with tab1:
                     # 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.session_state['origin_portfolio'] = st.session_state['portfolio'].copy()
 
 with tab2:
     if st.button('Clear data', key='reset2'):
@@ -683,13 +685,14 @@ with tab2:
 
 with tab3:
     if 'portfolio' in st.session_state and 'projections_df' in st.session_state:
-        st.session_state['origin_portfolio'] = st.session_state['portfolio'].copy()
         
         excluded_cols = ['salary', 'median', 'Own', 'Finish_percentile', 'Dupes', 'Stack', 'Win%', 'Lineup Edge']
         with st.container():
             col1, col2, col3 = st.columns(3)
             with col1:
                 site_var = st.selectbox("Select Site", ['Draftkings', 'Fanduel'])
+                if st.button('Reset Portfolio', key='reset_port'):
+                    st.session_state['portfolio'] = st.session_state['origin_portfolio'].copy()
                 if st.button('Clear data', key='reset3'):
                     st.session_state.clear()
                 
@@ -802,11 +805,7 @@ with tab3:
                     
                     submitted = st.form_submit_button("Submit")
             with st.expander('Trimming Options'):
-                if st.button('Reset Portfolio', key='reset_port'):
-                    st.session_state['portfolio'] = predict_dupes(st.session_state['origin_portfolio'], map_dict, site_var, type_var, Contest_Size, strength_var)
-                    
-                    export_file = st.session_state['portfolio'].copy()
-                    st.session_state['portfolio'] = st.session_state['portfolio'].sort_values(by='median', ascending=False)
+
                 with st.form(key='trim_form'):
                     performance_type = st.selectbox("Select Sorting variable", ['median', 'Finish_percentile'])
                     own_type = st.selectbox("Select trimming variable", ['Own', 'Weighted Own'])