Update app.py

app.py

@@ -22,12 +22,42 @@ def run_validation(survey_file, uuid):
     indicators_df = pd.read_excel(INDICATORS_PATH)
 
     # Pass all inputs to your function (update name/args as needed)
-    # For example, if your function is: process_survey(survey_df, choices_df, questions_df, indicators_df, uuid)
+    # parameters file
     indicator_df, questions_df, choice_df, data_all, raw_data, column_strategy_df = f.load_dataframes(
     indicator_path,
     questions_path,
      choice_path,
      survey_path)
+
+    # consistency
+    table_1_1, table_1_2, table_1_3 = f.consistency_score_report(
+    raw_data=raw_data,
+    indicator_df=indicator_df,
+    questions_df=questions_df,
+    column_strategy_df=column_strategy_df,
+    data_all=data_all,
+    theme_list=theme_list
+)
+    # integrity
+    table_2_1, table_2_2, table_2_3,table_2_4,table_2_5 = f.integrity_report(raw_data, questions_df, column_strategy_df, survey_type,table_1_2)
+
+    # representativity
+    if segmentation == 'yes':
+        table_3_1, table_3_2, table_3_3, table_3_4 = f.representativity_report(segmentation, raw_data, table_2_4, segmentation_columns, mapping_segmentation_quotas, 
+                            table_2_3, N, table_1_3)
+    else:
+        table_3_3, table_3_4 = f.representativity_report(segmentation, raw_data, table_2_4, segmentation_columns, mapping_segmentation_quotas, 
+                            table_2_3, N, table_1_3)
+
+    # enumerator bias
+    if 'enumerator_name' in raw_data.columns:
+        table_4_1, table_4_2 = f.enumerator_urgent_issues_report(raw_data, table_2_5)
+    else:
+        table_4_1 = []
+        table_4_2 = []
+
+
+    
     # Assume result is a DataFrame, can adjust to return Excel, text, etc.
     return indicator_df, questions_df, choice_df, data_all, raw_data, column_strategy_df