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

frontend/src/pages/DataAnnotation/Home/DataAnnotation.tsx

@@ -378,6 +378,8 @@ export default function DataAnnotation() {
                   open={!!exportTask}
                   projectId={exportTask?.id || ""}
                   projectName={exportTask?.name || ""}
+                  datasetType={exportTask?.datasetType}
+                  labelingType={exportTask?.labelingType}
                   onClose={() => setExportTask(null)}
                 />
               </div>

frontend/src/pages/DataAnnotation/Home/ExportAnnotationDialog.tsx

@@ -11,7 +11,7 @@ import {
   message,
   Alert,
 } from "antd";
-import { FileTextOutlined, CheckCircleOutlined } from "@ant-design/icons";
+import { FileTextOutlined, CheckCircleOutlined, InfoCircleOutlined } from "@ant-design/icons";
 import {
   getExportStatsUsingGet,
   downloadAnnotationsUsingGet,
@@ -22,6 +22,8 @@ interface ExportAnnotationDialogProps {
   open: boolean;
   projectId: string;
   projectName: string;
+  datasetType?: string;
+  labelingType?: string;
   onClose: () => void;
 }
 
@@ -57,6 +59,8 @@ export default function ExportAnnotationDialog({
   open,
   projectId,
   projectName,
+  datasetType,
+  labelingType,
   onClose,
 }: ExportAnnotationDialogProps) {
   const [form] = Form.useForm();
@@ -67,6 +71,15 @@ export default function ExportAnnotationDialog({
     annotatedFiles: number;
   } | null>(null);
 
+  const normalizedDatasetType = datasetType?.toUpperCase().replace(/-/g, "_") || "";
+  const normalizedLabelingType = labelingType?.toUpperCase().replace(/-/g, "_") || "";
+  const hasDatasetType = Boolean(normalizedDatasetType);
+  const isTextDataset = normalizedDatasetType === "TEXT";
+  const isDetectionCompatible =
+    normalizedDatasetType === "IMAGE" ||
+    normalizedDatasetType === "OBJECT_DETECTION" ||
+    normalizedLabelingType === "OBJECT_DETECTION";
+
   // 加载导出统计信息
   useEffect(() => {
     if (open && projectId) {
@@ -176,20 +189,46 @@ export default function ExportAnnotationDialog({
             rules={[{ required: true, message: "请选择导出格式" }]}
           >
             <Select
-              options={FORMAT_OPTIONS.map((opt) => ({
+              options={FORMAT_OPTIONS.map((opt) => {
-                label: (
+                const isDetectionFormat = opt.value === "coco" || opt.value === "yolo";
-                  <div className="py-1">
+                const isDisabledForText = isDetectionFormat && isTextDataset;
-                    <div className="font-medium">{opt.label}</div>
+                const isDisabledForIncompatibleType =
-                    <div className="text-xs text-gray-400">{opt.description}</div>
+                  isDetectionFormat && hasDatasetType && !isTextDataset && !isDetectionCompatible;
-                  </div>
+                const isDisabled = isDisabledForText || isDisabledForIncompatibleType;
-                ),
+                return {
-                value: opt.value,
+                  label: (
-                simpleLabel: opt.label,
+                    <div className="py-1 relative">
-              }))}
+                      <div className={`font-medium ${isDisabled ? "text-gray-400" : ""}`}>{opt.label}</div>
+                      <div className={`text-xs ${isDisabled ? "text-gray-300" : "text-gray-400"}`}>
+                        {opt.description}
+                        {isDisabled && (
+                          <span className="block mt-1 text-orange-500">
+                            <InfoCircleOutlined className="mr-1" />
+                            仅适用于图像类或目标检测类数据集
+                          </span>
+                        )}
+                      </div>
+                    </div>
+                  ),
+                  value: opt.value,
+                  simpleLabel: opt.label,
+                  disabled: isDisabled,
+                };
+              })}
               optionLabelProp="simpleLabel"
             />
           </Form.Item>
 
+          {(isTextDataset || (hasDatasetType && !isDetectionCompatible)) && (
+            <Alert
+              type="info"
+              message="导出格式兼容性提示"
+              description="COCO 和 YOLO 格式仅适用于图像类或目标检测类数据集，当前项目建议使用 JSON、JSON Lines 或 CSV 格式导出。"
+              showIcon
+              className="mt-4"
+            />
+          )}
+
           <Form.Item name="onlyAnnotated" valuePropName="checked">
             <Checkbox>仅导出已标注数据</Checkbox>
           </Form.Item>

frontend/src/pages/DataAnnotation/annotation.const.tsx

@@ -23,6 +23,8 @@ type AnnotationTaskPayload = {
   datasetId?: string;
   datasetName?: string;
   dataset_name?: string;
+  datasetType?: string;
+  dataset_type?: string;
   labelingType?: string;
   labeling_type?: string;
   template?: {
@@ -54,6 +56,7 @@ export type AnnotationTaskListItem = {
   description?: string;
   datasetId?: string;
   datasetName?: string;
+  datasetType?: string;
   labelingType?: string;
   totalCount?: number;
   annotatedCount?: number;
@@ -97,6 +100,7 @@ export function mapAnnotationTask(task: AnnotationTaskPayload): AnnotationTaskLi
   const labelingProjId = task?.labelingProjId || task?.labelingProjectId || task?.projId || task?.labeling_project_id || "";
   const segmentationEnabled = task?.segmentationEnabled ?? task?.segmentation_enabled ?? false;
   const inProgressCount = task?.inProgressCount ?? task?.in_progress_count ?? 0;
+  const datasetType = task?.datasetType || task?.dataset_type;
   const labelingType =
     task?.labelingType ||
     task?.labeling_type ||
@@ -119,6 +123,7 @@ export function mapAnnotationTask(task: AnnotationTaskPayload): AnnotationTaskLi
     projId: labelingProjId,
     segmentationEnabled,
     inProgressCount,
+    datasetType,
     labelingType,
     name: task.name,
     description: task.description || "",

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

@@ -61,6 +61,7 @@ class DatasetMappingResponse(BaseModel):
     id: str = Field(..., description="映射UUID")
     dataset_id: str = Field(..., alias="datasetId", description="源数据集ID")
     dataset_name: Optional[str] = Field(None, alias="datasetName", description="数据集名称")
+    dataset_type: Optional[str] = Field(None, alias="datasetType", description="数据集类型")
     labeling_project_id: str = Field(..., alias="labelingProjectId", description="标注项目ID")
     name: Optional[str] = Field(None, description="标注项目名称")
     description: Optional[str] = Field(None, description="标注项目描述")

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,