Utilisation d'un store plutôt que df global, regroupement des inputs/outputs

tests/test_main.py

@@ -234,23 +234,23 @@ def test_010_observatoire_montant_filter():
     def apply(min_val=None, max_val=None):
         return prepare_dashboard_data(
             data.lazy(),
-            year="2025",
-            acheteur_id=None,
-            acheteur_categorie=None,
-            acheteur_departement_code=None,
-            titulaire_id=None,
-            titulaire_categorie=None,
-            titulaire_departement_code=None,
-            type=None,
-            objet=None,
-            code_cpv=None,
-            considerations_sociales=None,
-            considerations_environnementales=None,
-            techniques=None,
-            marche_innovant=None,
-            sous_traitance_declaree=None,
-            montant_min=min_val,
-            montant_max=max_val,
+            dashboard_year="2025",
+            dashboard_acheteur_id=None,
+            dashboard_acheteur_categorie=None,
+            dashboard_acheteur_departement_code=None,
+            dashboard_titulaire_id=None,
+            dashboard_titulaire_categorie=None,
+            dashboard_titulaire_departement_code=None,
+            dashboard_marche_type=None,
+            dashboard_marche_objet=None,
+            dashboard_marche_code_cpv=None,
+            dashboard_marche_considerations_sociales=None,
+            dashboard_marche_considerations_environnementales=None,
+            dashboard_marche_techniques=None,
+            dashboard_marche_innovant=None,
+            dashboard_marche_sous_traitance_declaree=None,
+            dashboard_montant_min=min_val,
+            dashboard_montant_max=max_val,
         ).collect()
 
     assert apply().height == 3