feat: preserve flatness suite measurement outputs

alg/平整度、平面度、轮廓测量v1.5/pipeline.py

@@ -322,6 +322,7 @@ class MeasurementPipeline:
         excel_output_path: str | None = None,
         result_template_path: str | Path | None = DEFAULT_RESULT_TEMPLATE,
         combined_context_pointcloud_path: str | Path | None = DEFAULT_COMBINED_CONTEXT_POINTCLOUD,
+        save_combined_visualization: bool = True,
         no_visualize: bool = False,
     ) -> dict[str, Any]:
         batch_start_time = time.perf_counter()
@@ -443,7 +444,7 @@ class MeasurementPipeline:
 
         combined_visualization_output = None
         combined_pointclouds = []
-        if combined_visualizations:
+        if save_combined_visualization and combined_visualizations:
             combined_visualization_output = self._contour_combined_save_path(save_path)
             self._save_contour_combined_pointcloud_stream(
                 combined_visualizations,
@@ -627,6 +628,7 @@ class MeasurementPipeline:
         template_sheet_name, headers, template_rows = self._read_measurement_template(template_path)
         task_col = self._find_header_index(headers, ["任务号", "任务编号", "task_id"])
         result_col = self._find_header_index(headers, ["测量结果"])
+        error_col = self._find_header_index(headers, ["误差结果"])
         conclusion_col = self._find_header_index(headers, ["测量结论", "结论", "状态"])
 
         result_by_task = {
@@ -648,6 +650,7 @@ class MeasurementPipeline:
                 continue
 
             output_row[result_col] = self._row_measurement_mean(result_row)
+            output_row[error_col] = result_row.get("max")
             output_row[conclusion_col] = self._row_measurement_conclusion(result_row)
             table.append(output_row)
             used_task_ids.add(task_id)
@@ -659,6 +662,7 @@ class MeasurementPipeline:
             output_row = [""] * len(headers)
             output_row[task_col] = task_id
             output_row[result_col] = self._row_measurement_mean(result_row)
+            output_row[error_col] = result_row.get("max")
             output_row[conclusion_col] = self._row_measurement_conclusion(result_row)
             table.append(output_row)
 
@@ -729,7 +733,9 @@ class MeasurementPipeline:
 
     def _row_measurement_conclusion(self, row: dict[str, Any]) -> str:
         status = str(row.get("status", "")).strip()
-        if status and status != "成功":
+        if status in {"成功", "部分成功", "失败"}:
+            return status
+        if status:
             return "失败"
 
         value = self._row_measurement_mean(row)