feat: 算法升级、整车配准集成与性能分析文档

算法更新: delivery v1.2.1、平整度v1.5、测距v2.2、整车配准v1.3
适配器: vehicle-registration 新增、各算法 manifest 和 adapter 更新
后端: taskCadFiles/source 字段迁移、derivedPointClouds 注册、取消任务联动
前端: ElapsedTime 时长显示、两步算法流程、canRun 逻辑修复
文档: 新增5份算法性能分析报告

server/algorithmJobRunner.ts

@@ -321,6 +321,7 @@ export async function runAlgorithmJob(
       errorStats: result?.errorStats,
       overlay3d: result?.overlay3d,
       images: result?.images,
+      files: result?.files,
       extra: result?.extra,
       error: finalStatus === 'error'
         ? result?.message ?? `子进程退出码 ${exitCode}`
@@ -334,6 +335,35 @@ export async function runAlgorithmJob(
       resultData,
     });
 
+    // ── 回写配准产出点云 ─────────────────────────────────────────────────────
+    // 若 result.json 包含 derivedPointClouds，把对应 PLY 注册为任务点云，
+    // 供后续测量算法直接选用，无需用户手动上传。
+    if (finalStatus === 'completed') {
+      const derived = (result as Record<string, unknown> | null)?.derivedPointClouds;
+      if (Array.isArray(derived) && derived.length > 0) {
+        for (const item of derived) {
+          const d = item as { file?: string; name?: string };
+          if (!d.file) continue;
+          const absPath = path.join(workDir, d.file);
+          if (!fs.existsSync(absPath)) {
+            console.warn(`[AlgorithmJobRunner] derivedPointCloud not found: ${absPath}`);
+            continue;
+          }
+          try {
+            await db.createRegisteredPointcloudFile(
+              taskId,
+              d.name ?? d.file,
+              absPath,
+              resultId,
+            );
+            console.log(`[AlgorithmJobRunner] registered derived pointcloud: ${d.name ?? d.file}`);
+          } catch (err) {
+            console.error('[AlgorithmJobRunner] failed to register derived pointcloud:', err);
+          }
+        }
+      }
+    }
+
     if (finalStatus === 'completed') {
       console.log(
         `[AlgorithmJobRunner] ok pluginId=${pluginId} resultId=${resultId} taskId=${taskId}`,