troisieme

app.py

@@ -39,22 +39,46 @@ model = load_model_from_s3(S3_BUCKET, MODEL_KEY)
 class InputData(BaseModel):
     input: list
 
-
 @app.post("/predict")
 def predict(data: InputData):
-    # Colonnes attendues par le modèle
-    columns = [
-        "mileage", "engine_power", "fuel", "paint_color", "car_type",
-        "private_parking_available", "has_gps", "has_air_conditioning",
-        "automatic_car", "has_getaround_connect", "has_speed_regulator", "winter_tires"
-    ]
+    try:
+        columns = [
+            "mileage", "engine_power", "fuel", "paint_color", "car_type",
+            "private_parking_available", "has_gps", "has_air_conditioning",
+            "automatic_car", "has_getaround_connect", "has_speed_regulator", "winter_tires"
+        ]
+        
+        print("📥 Input reçu :", data.input)  # log input brut
+        X = pd.DataFrame(data.input, columns=columns)
+        print("✅ DataFrame construit :", X.head().to_dict())  # log input formaté
+        
+        preds = model.predict(X)
+        print("📤 Prediction faite :", preds)
+        
+        return {"prediction": preds.tolist()}
+    
+    except Exception as e:
+        import traceback
+        print("❌ Erreur lors de la prédiction :", e)
+        print(traceback.format_exc())
+        return {"error": str(e)}
+
+
+# @app.post("/predict")
+# def predict(data: InputData):
+#     # Colonnes attendues par le modèle
+#     columns = [
+#         "mileage", "engine_power", "fuel", "paint_color", "car_type",
+#         "private_parking_available", "has_gps", "has_air_conditioning",
+#         "automatic_car", "has_getaround_connect", "has_speed_regulator", "winter_tires"
+#     ]
     
-    # Transformer l'input en DataFrame
-    X = pd.DataFrame(data.input, columns=columns)
+#     # Transformer l'input en DataFrame
+#     X = pd.DataFrame(data.input, columns=columns)
     
-    # Prédictions
-    preds = model.predict(X)
-    return {"prediction": preds.tolist()}
+#     # Prédictions
+#     preds = model.predict(X)
+#     return {"prediction": preds.tolist()}
 
 
 # @app.post("/predict")