Refine prediction workbook summary note

tests/test_prediction.py

@@ -212,8 +212,9 @@ class PredictionHelpersTest(unittest.TestCase):
                 summary_data.columns.tolist(),
                 [ID_COLUMN, PIPE_AGE_COLUMN, "当前健康状态", "健康等级", REMAINING_LIFE_COLUMN],
             )
-            self.assertEqual(summary_data[PIPE_AGE_COLUMN].tolist(), [10, 12])
-            self.assertEqual(summary_data[REMAINING_LIFE_COLUMN].tolist(), [63, 61])
+            summary_records = summary_data[summary_data[PIPE_AGE_COLUMN].notna()]
+            self.assertEqual(summary_records[PIPE_AGE_COLUMN].tolist(), [10, 12])
+            self.assertEqual(summary_records[REMAINING_LIFE_COLUMN].tolist(), [63, 61])
 
             sample_data = pd.read_excel(output_path, sheet_name="样本数据")
             self.assertEqual(sample_data.columns.tolist(), ["管龄（年）", "P001", "P002"])
@@ -229,8 +230,10 @@ class PredictionHelpersTest(unittest.TestCase):
             self.assertEqual(sample_worksheet.auto_filter.ref, "A1:C3")
             self.assertEqual(summary_worksheet["C2"].number_format, "0.00")
             self.assertEqual(sample_worksheet["B2"].number_format, "0.00")
-            self.assertIn("73减去当前管龄", summary_worksheet["E1"].value)
-            self.assertNotIn("73 - 当前管龄", summary_worksheet["E1"].value)
+            self.assertEqual(summary_worksheet["E1"].value, "剩余寿命（年）")
+            self.assertIn("A5:E8", [str(range_) for range_ in summary_worksheet.merged_cells.ranges])
+            self.assertIn("73减去当前管龄", summary_worksheet["A5"].value)
+            self.assertIn("目前收集到模型数据管龄最大为73年", summary_worksheet["A5"].value)
 
     def test_prediction_workbook_writes_pipe_ids_as_excel_text(self) -> None:
         predictions = [dummy_prediction("00123", [1], [0.9], 10, 0.9)]