feat: Add support for ADAS project in labeling and export processes

- Implemented class name loading for ADAS campaigns in `_class_names_for_campaign`.
- Enhanced annotation parsing to support cuboid and 2D rectangle labels in `_parse_ls_annotations`.
- Updated catalog building to include ADAS packs and batches in `build_catalog_signature`.
- Added ADAS cuboid promotion logic in `adas_cuboid.py`, supporting both quaternion_json and YOLO HBB formats.
- Introduced validation for ADAS batches to check for YOLO HBB labels in `adas_cuboid.py`.
- Modified delivery scanning to include ADAS project deliveries in `scan.py`.
- Extended job execution to handle ADAS exports for YOLO format in `runner.py`.
- Updated labeling export logic to accommodate ADAS project in `export_cuboid_batch.py`.
- Enhanced format conversion to support rectangle labels in `format_converter.py`.
- Improved CVAT task handling in `service.py` to ensure task ID updates on each labeling job.
- Updated web API endpoints to reflect ADAS project changes in `hsap-api.ts`.
- Added ADAS catalog types and UI components for displaying ADAS packs and batches in `dmsCatalog.ts`, `CatalogPage.tsx`, and `ExportPage.tsx`.
- Adjusted workflow registry to align with new ADAS project structure.

platform/as_platform/labeling/service.py

@@ -186,9 +186,9 @@ def open_campaign(
         else:
             camp.status = "in_progress"
             camp.updated_at = now
-            if cvat_task_id and not camp.cvat_task_id:
-                camp.cvat_task_id = cvat_task_id
-                camp.cvat_job_url = cvat_job_url
+            # 每次开标都创建新 CVAT Task，始终更新 task_id
+            camp.cvat_task_id = cvat_task_id
+            camp.cvat_job_url = cvat_job_url
             if ann_types and not camp.annotation_types:
                 camp.annotation_types = ann_types
         db.flush()
@@ -531,6 +531,7 @@ def _cvat_upload_thread(cvat_task_id: int, image_paths: list, campaign_id: str |
                     with session_scope() as db:
                         camp = db.get(LabelingCampaign, campaign_id)
                         if camp and camp.cvat_job_url is None:
+                            camp.cvat_task_id = cvat_task_id
                             camp.cvat_job_url = f"_UPLOAD_FAILED_: {e}"
                             camp.status = "upload_failed"
                             updated = True
@@ -542,12 +543,13 @@ def _cvat_upload_thread(cvat_task_id: int, image_paths: list, campaign_id: str |
                 try:
                     with session_scope() as db:
                         camp = db.get(LabelingCampaign, campaign_id)
-                        # 上传成功后，尝试回填 job_url
+                        # 上传成功后，回填 job_url 和 task_id
                         if camp and camp.cvat_job_url is None:
                             from as_platform.labeling.cvat_client import get_cvat_client
                             cvat = get_cvat_client()
                             task = cvat.get_task(cvat_task_id)
                             if task.job_url:
+                                camp.cvat_task_id = cvat_task_id
                                 camp.cvat_job_url = task.job_url
                                 camp.status = "in_progress"
                                 updated = True
@@ -657,7 +659,11 @@ def _build_class_map(camp, reg: dict | None) -> dict[str, int]:
 
 
 def get_cvat_status(campaign_id: str) -> dict[str, Any]:
-    """查询 CVAT 侧 Task 状态，包含上传进度信息。"""
+    """查询 CVAT 侧 Task 状态，包含上传进度信息。
+    
+    自动恢复：当检测到 cvat_job_url 为 None 且 CVAT Task 无数据时，
+    说明上传线程已丢失（如容器重启），自动重新触发上传。
+    """
     with session_scope() as db:
         camp = db.get(LabelingCampaign, campaign_id)
         if not camp:
@@ -690,12 +696,31 @@ def get_cvat_status(campaign_id: str) -> dict[str, Any]:
                 images = _iter_batch_images(batch_dir)
                 image_count = len(images)
             except Exception:
+                images = []
                 pass
+
+            # 自动恢复：cvat_job_url 为空且 CVAT Task 无 Job → 上传线程已丢失
+            resolved_url = task.job_url or camp.cvat_job_url
+            if not resolved_url and image_count > 0:
+                # CVAT Task 存在但无数据，重新触发上传
+                import threading
+                _needs_recovery = True
+                try:
+                    r = cvat._session.get(f"{cvat._api}/tasks/{camp.cvat_task_id}/data/meta")
+                    _needs_recovery = r.status_code >= 400  # 400 = 未上传数据
+                except Exception:
+                    pass
+                if _needs_recovery:
+                    print(f"[CVAT] 检测到断线任务，自动恢复上传 task={camp.cvat_task_id} campaign={campaign_id}")
+                    uploader = _cvat_upload_thread(camp.cvat_task_id, images, campaign_id=campaign_id)
+                    threading.Thread(target=uploader, daemon=True).start()
+                    camp.cvat_job_url = None  # 重置，等待线程回填
+
             return {
                 "cvat_available": True,
                 "campaign_id": campaign_id,
                 "cvat_task_id": camp.cvat_task_id,
-                "cvat_job_url": task.job_url or camp.cvat_job_url,
+                "cvat_job_url": resolved_url,
                 "cvat_status": task.status,
                 "image_count": image_count,
             }