From 445c8666cf4194410e1460b9bd736b8af75e46b5 Mon Sep 17 00:00:00 2001
From: Colin Maudry <colin@maudry.com>
Date: Mon, 13 Jul 2026 07:36:54 +0200
Subject: [PATCH] Valeurs possibles dans la description des champs

---
 src/figures.py    | 19 ++++++-------------
 src/utils/data.py | 11 ++++++++++-
 2 files changed, 16 insertions(+), 14 deletions(-)

diff --git a/src/figures.py b/src/figures.py
index f38c54b..c2a04a7 100644
--- a/src/figures.py
+++ b/src/figures.py
@@ -972,21 +972,14 @@ def make_donut(
 
 def make_column_picker(page: str):
     table_data = []
-    table_columns = [
-        {
+    for col in schema.names():
+        column_data_schema = DATA_SCHEMA[col]
+        column_data = {
             "id": col,
-            "name": DATA_SCHEMA[col]["title"],
-            "description": DATA_SCHEMA[col]["description"],
+            "name": column_data_schema["title"],
+            "description": column_data_schema["description"],
         }
-        for col in schema.names()
-    ]
-    for column in table_columns:
-        new_column = {
-            "id": column["id"],
-            "name": column["name"],
-            "description": DATA_SCHEMA[column["id"]]["description"],
-        }
-        table_data.append(new_column)
+        table_data.append(column_data)
 
     table = (
         DataTable(
diff --git a/src/utils/data.py b/src/utils/data.py
index ab7cb63..abd0f45 100644
--- a/src/utils/data.py
+++ b/src/utils/data.py
@@ -124,7 +124,16 @@ def get_data_schema() -> dict:
         raw = _load_schema_file(cache_path)
     if raw is None:
         raise RuntimeError("Aucun schéma disponible (ni distant ni cache).")
-    return OrderedDict((c["name"], c) for c in raw["fields"])
+    schema = OrderedDict((c["name"], c) for c in raw["fields"])
+    for col in schema.keys():
+        new_obj = schema[col]
+        if "enum" in new_obj:
+            enums = ", ".join(new_obj["enum"])
+            new_obj["description"] = (
+                f"{new_obj['description']} Valeurs possibles : {enums}"
+            )
+    print(schema["titulaire_typeIdentifiant"])
+    return schema
 
 
 def prepare_dashboard_data(**filter_params) -> pl.DataFrame: