Update app.py

app.py

@@ -72,9 +72,9 @@ for i in range(0, 5):
 ill_check_df = pd.DataFrame(ill_check_lst).T
 ill_check_html = ill_check_df.to_html(escape = False, render_links = True, index = False, header = False)
 
-ill_links = ill_links[['ID', 'title', 'url', 'abstract', 'filepath', 'Date Created', 'post_filepath']]
-ill_links_title = ill_links_title[['ID', 'title', 'url', 'abstract', 'filepath', 'Date Created', 'Description', 'post_filepath']]
-ill_links_ai = ill_links_ai[['ID', 'title', 'url', 'abstract', 'filepath', 'Date Created', 'Description', 'post_filepath']]
+ill_links = ill_links[['ID', 'title', 'url', 'abstract', 'filepath', 'Date Created', 'post_filepath', 'parent_id']]
+ill_links_title = ill_links_title[['ID', 'title', 'url', 'abstract', 'filepath', 'Date Created', 'Description', 'post_filepath', 'parent_id']]
+ill_links_ai = ill_links_ai[['ID', 'title', 'url', 'abstract', 'filepath', 'Date Created', 'Description', 'post_filepath', 'parent_id']]
 
 ind_main, doc_main, tf_main = funky.index_documents(ill_links)
 del ill_links
@@ -137,8 +137,12 @@ def search_index(search_text, sd, ks, sort_by, max_results, user_num, search_tit
             output_df['missing_desc'] = np.where(output_df['abstract'].str.contains('eyfs|ks1|ks2', regex = True), 0, 1)
             output_df2 = output_df
         output_df2['ind'] = output_df2.index
+         min_parent_score = output_df2.groupby('parent_id')['ind'].min().reset_index()
+        min_parent_score.columns = ['parent_id', 'min_parent_ind']
+        output_df2 = output_df2.merge(min_parent_score, how = 'left', on = 'parent_id')
+        
         if sort_by == 'Relevance':
-            output_df2 = output_df2.sort_values(by = ['missing_desc', 'ind'], ascending = [True, True])
+            output_df2 = output_df2.sort_values(by = ['missing_desc', 'min_parent_ind'], ascending = [True, True])
         elif sort_by == 'Date Created':
             output_df2 = output_df2.sort_values(by = ['Date Created'], ascending = False)
         elif sort_by == 'A-Z':