test: align test fixtures with string-based input schema

tests/conftest.py

@@ -8,9 +8,10 @@ from app.db.session import get_db
 TEST_API_KEY = "test-secret-key"
 
 VALID_PAYLOAD = {
-    "age": 35, "genre": 1, "statut_marital": "Marié(e)",
+    "age": 35, "genre": "M", "statut_marital": "Marié(e)",
     "poste": "Consultant", "domaine_etude": "Infra & Cloud",
-    "niveau_education": 3, "nombre_experiences_precedentes": 2,
+    "niveau_education": 3, "departement": "Ventes", "niveau_hierarchique_poste": 2,
+    "nombre_experiences_precedentes": 2,
     "annee_experience_totale": 10, "annees_dans_l_entreprise": 5,
     "annees_dans_le_poste_actuel": 2, "annees_sous_responsable_actuel": 3,
     "annees_depuis_la_derniere_promotion": 1,
@@ -21,7 +22,7 @@ VALID_PAYLOAD = {
     "satisfaction_employee_nature_travail": 4,
     "satisfaction_employee_equipe": 3,
     "satisfaction_employee_equilibre_pro_perso": 2,
-    "heure_supplementaires": 0, "frequence_deplacement": 1,
+    "heure_supplementaires": "Non", "frequence_deplacement": "Occasionnel",
     "distance_domicile_travail": 10, "revenu_mensuel": 5000,
 }
 

tests/test_db.py

@@ -6,8 +6,9 @@ from app.db.crud import log_prediction
 from app.schemas.prediction import PredictionInput, PredictionOutput
 
 VALID_INPUT = PredictionInput(
-    age=35, genre=1, statut_marital="Marié(e)", poste="Consultant",
+    age=35, genre="M", statut_marital="Marié(e)", poste="Consultant",
     domaine_etude="Infra & Cloud", niveau_education=3,
+    departement="Ventes", niveau_hierarchique_poste=2,
     nombre_experiences_precedentes=2, annee_experience_totale=10,
     annees_dans_l_entreprise=5, annees_dans_le_poste_actuel=2,
     annees_sous_responsable_actuel=3, annees_depuis_la_derniere_promotion=1,
@@ -16,7 +17,7 @@ VALID_INPUT = PredictionInput(
     nombre_participation_pee=1, satisfaction_employee_environnement=3,
     satisfaction_employee_nature_travail=4, satisfaction_employee_equipe=3,
     satisfaction_employee_equilibre_pro_perso=2,
-    heure_supplementaires=0, frequence_deplacement=1,
+    heure_supplementaires="Non", frequence_deplacement="Occasionnel",
     distance_domicile_travail=10, revenu_mensuel=5000,
 )
 VALID_OUTPUT = PredictionOutput(prediction=0, label="Reste", probabilite=0.30)