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/data/promote/validate/adas_cuboid.py

@@ -1,4 +1,4 @@
-"""ADAS cuboid batch validation before promote."""
+"""ADAS batch validation before promote（支持 quaternion_json 和 YOLO HBB）。"""
 from __future__ import annotations
 
 import json
@@ -7,20 +7,87 @@ from pathlib import Path
 from as_platform.labeling.class_map import load_adas_class_names
 
 
+def _has_yolo_hbb_labels(batch_dir: Path) -> bool:
+    """检查是否有 YOLO HBB txt 标注文件。"""
+    yolo_dir = batch_dir / "labels" / "yolo-hbb"
+    return yolo_dir.is_dir() and any(yolo_dir.glob("*.txt"))
+
+
+def _validate_yolo_hbb(batch_dir: Path, expected_names: list[str]) -> tuple[list[str], list[str], dict]:
+    """校验 YOLO HBB 格式标注。"""
+    errors: list[str] = []
+    warnings: list[str] = []
+    n_classes = len(expected_names)
+
+    labels_dir = batch_dir / "labels" / "yolo-hbb"
+    txt_files = sorted(labels_dir.glob("*.txt")) if labels_dir.is_dir() else []
+
+    total_boxes = 0
+    files_with_boxes = 0
+    for p in txt_files:
+        try:
+            lines = p.read_text(encoding="utf-8").strip().splitlines()
+        except OSError as e:
+            errors.append(f"{p.name}: read error ({e})")
+            continue
+        if not lines:
+            continue
+        has_valid = False
+        for line in lines:
+            line = line.strip()
+            if not line:
+                continue
+            parts = line.split()
+            if len(parts) < 5:
+                warnings.append(f"{p.name}: invalid YOLO line '{line[:40]}...'")
+                continue
+            try:
+                cid = int(parts[0])
+                if cid < 0 or cid >= n_classes:
+                    errors.append(f"{p.name}: class_id {cid} out of range (0-{n_classes - 1})")
+                    continue
+                # 验证 bbox 值在 [0,1]
+                for v in parts[1:5]:
+                    fv = float(v)
+                    if fv < 0 or fv > 1:
+                        warnings.append(f"{p.name}: bbox value {fv} out of [0,1]")
+            except ValueError:
+                warnings.append(f"{p.name}: non-numeric value in '{line[:40]}...'")
+                continue
+            total_boxes += 1
+            has_valid = True
+        if has_valid:
+            files_with_boxes += 1
+
+    if files_with_boxes == 0:
+        errors.append("no valid YOLO HBB label files")
+
+    stats = {
+        "format": "yolo_hbb",
+        "label_files": len(txt_files),
+        "files_with_boxes": files_with_boxes,
+        "total_boxes": total_boxes,
+    }
+    return errors, warnings, stats
+
+
 def validate_adas_cuboid_batch(
     batch_dir: Path,
     *,
     allow_partial_3d: bool = False,
     min_fit_ratio: float = 0.8,
 ) -> tuple[list[str], list[str], dict]:
-    """Return (errors, warnings, stats)."""
+    """Return (errors, warnings, stats). 优先 quaternion_json，其次 YOLO HBB。"""
     errors: list[str] = []
     warnings: list[str] = []
     qdir = batch_dir / "labels" / "quaternion_json"
     expected_names = load_adas_class_names()
 
     if not qdir.is_dir():
-        errors.append(f"missing labels/quaternion_json under {batch_dir}")
+        # 回退到 YOLO HBB 格式
+        if _has_yolo_hbb_labels(batch_dir):
+            return _validate_yolo_hbb(batch_dir, expected_names)
+        errors.append(f"missing labels/quaternion_json or YOLO HBB labels under {batch_dir}")
         return errors, warnings, {}
 
     files = sorted(qdir.glob("*.json"))