Fixed a bug that stopped the homepage previews from rendering, due to…

… dependencies on detailed analysis components

app.py

@@ -10,4 +10,4 @@
 # doing something wrong.
 # In this case, we're adding the elements through a callback, so we can ignore
 # the exception.
-app.config.suppress_callback_exceptions = True
+# app.config.suppress_callback_exceptions = True

callbacks.py

@@ -323,9 +323,10 @@ def create_feat_import_card(df, card_title='Feature importance', max_display=Non
 
 @app.callback(Output('feature_importance_preview', 'figure'),
               [Input('dataset_store', 'modified_timestamp'),
-               Input('model_name_div', 'children')],
-              [State('dataset_store', 'data')])
-def update_feat_import_preview(dataset_mod, model_name, df_store):
+               Input('model_store', 'modified_timestamp')],
+              [State('model_name_div', 'children'),
+               State('dataset_store', 'data')])
+def update_feat_import_preview(dataset_mod, model_mod, model_name, df_store):
     # Reconvert the dataframe to Pandas
     df = pd.DataFrame(df_store)
     return create_feat_import_plot(df, max_display=3,
@@ -395,10 +396,11 @@ def output_feat_import_page_cards(data_filter, df_store):
 
 @app.callback(Output('detailed_analysis_preview', 'figure'),
               [Input('dataset_store', 'modified_timestamp'),
-               Input('model_name_div', 'children')],
-              [State('dataset_store', 'data'),
+               Input('model_store', 'modified_timestamp')],
+              [State('model_name_div', 'children'),
+               State('dataset_store', 'data'),
                State('model_store', 'data')])
-def update_det_analysis_preview(dataset_mod, model_name, df_store, model_store):
+def update_det_analysis_preview(dataset_mod, model_mod, model_name, df_store, model_store):
     # Reconvert the dataframe to Pandas
     df = pd.DataFrame(df_store)
     # Load the model
@@ -651,6 +653,8 @@ def apply_data_changes(new_data, df_store, id_column, ts_column, model_name, mod
         seq_df = df[(df[id_column] == patient_unit_stay_id)
                     & (df[ts_column] <= ts)]
         seq_df.loc[seq_df[ts_column] == ts, sample_columns] = new_sample_df.values
+        # Find the sequence length dictionary corresponding to the current sample
+        seq_len_dict = du.padding.get_sequence_length_dict(data, id_column=id_column, ts_column=ts_column)
         # Convert the data into feature and label tensors (so as to be feed to the model)
         shap_column_names = [feature for feature in filtered_df.columns
                              if feature.endswith('_shap')]
@@ -668,7 +672,8 @@ def apply_data_changes(new_data, df_store, id_column, ts_column, model_name, mod
                                        id_column=id_column, inst_column=ts_column, 
                                        fast_calc=True, SHAP_bkgnd_samples=10000,
                                        random_seed=du.random_seed, 
-                                       padding_value=padding_value, is_custom=is_custom)
+                                       padding_value=padding_value, is_custom=is_custom,
+                                       seq_len_dict=seq_len_dict)
         _ = interpreter.interpret_model(test_data=features, test_labels=labels, 
                                         instance_importance=False, feature_importance='shap')
         # Join the updated SHAP values to the dataframe

index.py

@@ -4,8 +4,9 @@
 from dash.dependencies import Input, Output
 from app import app
 import callbacks
+import layouts
 
-app.layout = html.Div([
+base_layout = html.Div([
     dbc.NavbarSimple(
         children=[
             dbc.NavItem(dbc.NavLink('Performance', href='/performance')),
@@ -34,5 +35,16 @@
     html.Div(id='page-content')
 ])
 
+app.layout = base_layout
+
+app.validation_layout = html.Div([
+    base_layout,
+    layouts.main_layout,
+    layouts.performance_layout,
+    layouts.dataset_overview_layout,
+    layouts.detail_analysis_layout,
+    layouts.feat_import_layout
+])
+
 if __name__ == '__main__':
     app.run_server(debug=True)