feat: validate uploaded pipeline data

tests/test_prediction.py

@@ -93,6 +93,42 @@ class PredictionHelpersTest(unittest.TestCase):
 
         validate_input_frame(df)
 
+    def test_validate_input_frame_rejects_blank_pipe_id_with_source_row(self) -> None:
+        df = pd.DataFrame([{column: 1 for column in INPUT_COLUMNS}])
+        df[ID_COLUMN] = [" "]
+        df["_excel_row"] = [7]
+
+        with self.assertRaisesRegex(PredictionError, "管道编号不能为空，Excel行：\\[7\\]"):
+            validate_input_frame(df)
+
+    def test_validate_input_frame_rejects_duplicate_pipe_ids_after_trimming(self) -> None:
+        df = pd.DataFrame([{column: 1 for column in INPUT_COLUMNS}] * 2)
+        df[ID_COLUMN] = ["P001", " P001 "]
+
+        with self.assertRaisesRegex(PredictionError, "管道编号不能重复，Excel行：\\[2, 3\\]"):
+            validate_input_frame(df)
+
+    def test_validate_input_frame_rejects_non_numeric_optional_value(self) -> None:
+        df = pd.DataFrame([{column: 1 for column in INPUT_COLUMNS}])
+        df["压力"] = ["未知"]
+
+        with self.assertRaisesRegex(PredictionError, "压力必须为有限数值，Excel行：\\[2\\]"):
+            validate_input_frame(df)
+
+    def test_validate_input_frame_rejects_functional_defect_above_five(self) -> None:
+        df = pd.DataFrame([{column: 1 for column in INPUT_COLUMNS}])
+        df["功能缺陷"] = [6]
+
+        with self.assertRaisesRegex(PredictionError, "功能缺陷必须在0～5范围内，Excel行：\\[2\\]"):
+            validate_input_frame(df)
+
+    def test_validate_input_frame_rejects_pipe_age_above_model_limit(self) -> None:
+        df = pd.DataFrame([{column: 1 for column in INPUT_COLUMNS}])
+        df[PIPE_AGE_COLUMN] = [74]
+
+        with self.assertRaisesRegex(PredictionError, "管龄（年）不能超过模型支持上限73年，Excel行：\\[2\\]"):
+            validate_input_frame(df, max_pipe_age=73)
+
     def test_example_workbook_contains_backend_contract_columns(self) -> None:
         workbook = load_workbook(Path(__file__).resolve().parents[1] / "example.xlsx", read_only=True)
         worksheet = workbook["Template"]
@@ -139,6 +175,22 @@ class PredictionHelpersTest(unittest.TestCase):
             self.assertAlmostEqual(float(df.loc[0, "结构缺陷"]), 3.8)
             self.assertAlmostEqual(float(df.loc[0, "功能缺陷"]), 1.6)
 
+    def test_read_input_file_rejects_misaligned_detail_sheet_id(self) -> None:
+        with TemporaryDirectory() as temp_dir:
+            output_path = Path(temp_dir) / "input.xlsx"
+            workbook = Workbook()
+            template = workbook.active
+            template.title = "Template"
+            template.append(INPUT_COLUMNS)
+            template.append(["P001", 5, 1, 100, 1, 1.2, 0.4, 20, 800, None, None])
+            detail = workbook.create_sheet("缺陷计算")
+            detail.append([ID_COLUMN] + ["缺陷"] * 9)
+            detail.append(["P002"] + [None] * 9)
+            workbook.save(output_path)
+
+            with self.assertRaisesRegex(PredictionError, "工作表的管道编号不一致，Excel行：2"):
+                read_input_file(output_path, ".xlsx")
+
     def test_prepare_model_features_maps_material_aliases_to_rc1_names(self) -> None:
         rows = []
         for value in ["镀锌", "2-钢塑", 11]: