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app.py

@@ -119,10 +119,15 @@ def predict_capacity_batch():
         # Convert list of dicts to DataFrame
         input_data = pd.DataFrame(data_list)
         input_data["Date"] = pd.to_datetime(input_data["Date"])  # ⚡ convert to datetime
+        print("Batch prediction input shape:", input_data.shape)
+        print("Batch input preview:\n", input_data.head())
+
 
         # Predict using pipeline
         predictions = pipeline.predict(input_data).tolist()
 
+        print("Batch predictions:", predictions)
+
         # Prepare output DataFrame with Date, Store, Predicted_Capacity
         output_df = pd.DataFrame({
             "Date": input_data["Date"],