Qustionnaires Unliked Patient filter

eb_dashboard.py

@@ -767,7 +767,7 @@ def _execute_custom_function(function_name, args, output_inclusion):
         # Unified conditional function
         # Syntax: ["operator", arg1, arg2_optional, result_if_true, result_if_false]
         # Operators: "is_true", "is_false", "all_true", "any_true", "is_defined", "is_undefined", "all_defined", "==", "!=", ">", ">=", "<", "<="
-        # Sentinel propagation: "undefined" (inconnu) > "N/A" (non applicable) > vraie valeur.
+        # Sentinel propagation: "undefined" (unknown) > "N/A" (not applicable) > real value.
 
         if not args or len(args) < 4:
             return "$$$$ Argument Error: if_then_else requires at least 4 arguments"
@@ -1217,6 +1217,17 @@ def get_all_questionnaires_by_patient(patient_id, record_data):
         q_name = get_nested_value(item, path=["questionnaire", "name"])
         q_category = get_nested_value(item, path=["questionnaire", "category"])
         answers = get_nested_value(item, path=["answers"], default={})
+
+        # ── UNLINKED PATIENT FILTER ─────────────────────────────────────────────
+        # If answers.patient is missing, null, or does not match the requested
+        # patient_id, the questionnaire is considered unlinked → clear answers
+        # to prevent use of orphaned data.
+        # (disable: comment out the block below)
+        answers_patient = answers.get("subject") if isinstance(answers, dict) else None
+        if not answers_patient or answers_patient != patient_id:
+            answers = {}
+        # ────────────────────────────────────────────────────────────────────────
+
         if q_id:
             results[q_id] = {
                 "questionnaire": {
@@ -1556,9 +1567,9 @@ def main():
     organizations_list.sort(key=lambda org: (-org.get('patients_count', 0), org.get('name', '')))
 
     # ╔══════════════════════════════════════════════════════════════════╗
-    # ║  TEST INSTRUMENTATION — À SUPPRIMER AVANT MISE EN PRODUCTION   ║
-    # ║  Limite le tableau aux organisations aux rangs 33 et 34         ║
-    # ║  (indices 32 et 33, après tri décroissant par patients_count)   ║
+    # ║  TEST INSTRUMENTATION — REMOVE BEFORE PRODUCTION               ║
+    # ║  Limits the table to organizations at ranks 33 and 34          ║
+    # ║  (indices 32 and 33, after descending sort by patients_count)  ║
     # ╚══════════════════════════════════════════════════════════════════╝
     # organizations_list = [org for i, org in enumerate(organizations_list) if i in (32, 33)]
     # ══════════════════════════════════════════════════════════════════

eb_dashboard_excel_export.py

@@ -754,8 +754,8 @@ def _apply_value_replacement(value, replacements):
         return value
 
     for value_before, value_after in replacements:
-        # bool est une sous-classe de int en Python (True == 1, False == 0),
-        # donc on bloque le match si l'un est bool et pas l'autre.
+        # bool is a subclass of int in Python (True == 1, False == 0):
+        # reject the match if one side is bool and the other is not.
         if isinstance(value, bool) != isinstance(value_before, bool):
             continue
         if value == value_before: