feat: 完善数据标注导出格式兼容性验证

- 后端：添加 YOLO 格式对 TEXT 数据集的限制验证
- 后端：统一 COCO/YOLO 兼容性校验规则（仅允许图像类或目标检测类数据集）
- 后端：修复 datasetType 字段传递，在任务列表响应中补充 dataset_type
- 前端：在导出对话框中禁用 TEXT 数据集的 COCO/YOLO 选项
- 前端：添加 datasetType 和 labelingType 字段传递
- 前端：对齐前后端 COCO/YOLO 兼容性规则
- 前端：优化提示文案，明确说明格式适用范围

修改文件：
- runtime/datamate-python/app/module/annotation/service/export.py
- runtime/datamate-python/app/module/annotation/service/mapping.py
- runtime/datamate-python/app/module/annotation/schema/mapping.py
- frontend/src/pages/DataAnnotation/Home/ExportAnnotationDialog.tsx
- frontend/src/pages/DataAnnotation/Home/DataAnnotation.tsx
- frontend/src/pages/DataAnnotation/annotation.const.tsx

runtime/datamate-python/app/module/annotation/service/export.py

@@ -84,7 +84,7 @@ DATASET_TYPE_IMAGE = "IMAGE"
 DATASET_TYPE_OBJECT_DETECTION = "OBJECT_DETECTION"
 LABELING_TYPE_CONFIG_KEY = "labeling_type"
 LABELING_TYPE_OBJECT_DETECTION = "OBJECT_DETECTION"
-COCO_COMPATIBLE_DATASET_TYPES = {
+DETECTION_COMPATIBLE_DATASET_TYPES = {
     DATASET_TYPE_IMAGE,
     DATASET_TYPE_OBJECT_DETECTION,
 }
@@ -236,7 +236,7 @@ class AnnotationExportService:
         project: LabelingProject,
         format_type: ExportFormat,
     ) -> None:
-        if format_type != ExportFormat.COCO:
+        if format_type not in (ExportFormat.COCO, ExportFormat.YOLO):
             return
 
         dataset_type = self._normalize_type_value(
@@ -249,11 +249,11 @@ class AnnotationExportService:
         if dataset_type == DATASET_TYPE_TEXT:
             raise HTTPException(
                 status_code=400,
-                detail="导出格式 COCO 不支持文本类数据集（TEXT），请改用 JSON/JSONL/CSV 格式",
+                detail=f"导出格式 {format_type.value.upper()} 不支持文本类数据集（TEXT），请改用 JSON/JSONL/CSV 格式",
             )
 
         if (
-            dataset_type in COCO_COMPATIBLE_DATASET_TYPES
+            dataset_type in DETECTION_COMPATIBLE_DATASET_TYPES
             or labeling_type == LABELING_TYPE_OBJECT_DETECTION
         ):
             return
@@ -261,7 +261,7 @@ class AnnotationExportService:
         raise HTTPException(
             status_code=400,
             detail=(
-                "导出格式 COCO 仅适用于图像类或目标检测类数据集，"
+                f"导出格式 {format_type.value.upper()} 仅适用于图像类或目标检测类数据集，"
                 f"当前数据集类型: {dataset_type or 'UNKNOWN'}，"
                 f"标注类型: {labeling_type or 'UNKNOWN'}"
             ),

runtime/datamate-python/app/module/annotation/service/mapping.py

@@ -32,7 +32,8 @@ class DatasetMappingService:
         """Build base query with dataset name joined"""
         return select(
             LabelingProject,
-            Dataset.name.label('dataset_name')
+            Dataset.name.label('dataset_name'),
+            Dataset.dataset_type.label('dataset_type'),
         ).outerjoin(
             Dataset,
             LabelingProject.dataset_id == Dataset.id
@@ -98,6 +99,7 @@ class DatasetMappingService:
         """
         mapping = row[0]  # LabelingProject object
         dataset_name = row[1]  # dataset_name from join
+        dataset_type = row[2]  # dataset_type from join
 
         # Get template_id from mapping
         template_id = getattr(mapping, 'template_id', None)
@@ -134,6 +136,7 @@ class DatasetMappingService:
             "id": mapping.id,
             "dataset_id": mapping.dataset_id,
             "dataset_name": dataset_name,
+            "dataset_type": dataset_type,
             "labeling_project_id": mapping.labeling_project_id,
             "name": mapping.name,
             "description": description,
@@ -166,12 +169,15 @@ class DatasetMappingService:
         """
         # Fetch dataset name
         dataset_name = None
+        dataset_type = None
         dataset_id = getattr(mapping, 'dataset_id', None)
         if dataset_id:
             dataset_result = await self.db.execute(
-                select(Dataset.name).where(Dataset.id == dataset_id)
+                select(Dataset.name, Dataset.dataset_type).where(Dataset.id == dataset_id)
             )
-            dataset_name = dataset_result.scalar_one_or_none()
+            dataset_row = dataset_result.one_or_none()
+            if dataset_row:
+                dataset_name, dataset_type = dataset_row
 
         # Get template_id from mapping
         template_id = getattr(mapping, 'template_id', None)
@@ -211,6 +217,7 @@ class DatasetMappingService:
             "id": mapping.id,
             "dataset_id": dataset_id,
             "dataset_name": dataset_name,
+            "dataset_type": dataset_type,
             "labeling_project_id": mapping.labeling_project_id,
             "name": mapping.name,
             "description": description,