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/jobs/runner.py

@@ -277,6 +277,24 @@ def execute_action(action: str, params: dict[str, Any]) -> dict[str, Any]:
                     f"skipped_empty={conv.get('skipped_empty')} missing_ann={conv.get('missing_ann')}"
                 )
             return {"ok": True, "stdout": json.dumps(conv, ensure_ascii=False), "stderr": "", "export_convert": conv}
+        if row.get("project") == "adas" and export == "yolo":
+            scripts_dir = WORKSPACE / "datasets" / "adas" / "scripts"
+            if str(scripts_dir) not in sys.path:
+                sys.path.insert(0, str(scripts_dir))
+            from export_ls_to_yolo import export_batch as export_adas_yolo
+
+            with session_scope() as db:
+                camp = db.get(LabelingCampaign, campaign_id)
+                if not camp:
+                    raise ValueError("campaign not found")
+                batch_dir = resolve_campaign_batch_dir(camp)
+            conv = export_adas_yolo(batch_dir, task=task, out_subdir="labels/yolo-hbb")
+            if conv.get("written", 0) == 0:
+                raise ValueError(
+                    "export_adas_yolo: 无有效 YOLO HBB 标注可导出 (written=0); "
+                    f"skipped_empty={conv.get('skipped_empty')} missing_ann={conv.get('missing_ann')}"
+                )
+            return {"ok": True, "stdout": json.dumps(conv, ensure_ascii=False), "stderr": "", "export_convert": conv}
         if row.get("project") == "adas" and export == "cvat_cuboid":
             from as_platform.labeling.export_cuboid_batch import export_batch as export_cuboid_batch