feat(annotation): 添加标注数据导出功能

- 新增导出对话框组件，支持多种格式选择
- 实现 JSON、JSONL、CSV、COCO、YOLO 五种导出格式
- 添加导出统计信息显示，包括总文件数和已标注数
- 集成前端导出按钮和后端 API 接口
- 支持仅导出已标注数据和包含原始数据选项
- 实现文件下载和命名功能

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

@@ -1,16 +1,17 @@
-import { useState, useEffect } from "react";
-import { Card, Button, Table, message, Modal, Tabs, Tag, Progress, Tooltip } from "antd";
-import {
-  PlusOutlined,
-  EditOutlined,
-  DeleteOutlined,
-  SyncOutlined,
-} from "@ant-design/icons";
-import { useNavigate } from "react-router";
-import { SearchControls } from "@/components/SearchControls";
-import CardView from "@/components/CardView";
-import type { AnnotationTask } from "../annotation.model";
-import useFetchData from "@/hooks/useFetchData";
+import { useState, useEffect } from "react";
+import { Card, Button, Table, message, Modal, Tabs, Tag, Progress, Tooltip } from "antd";
+import {
+  PlusOutlined,
+  EditOutlined,
+  DeleteOutlined,
+  SyncOutlined,
+  DownloadOutlined,
+} from "@ant-design/icons";
+import { useNavigate } from "react-router";
+import { SearchControls } from "@/components/SearchControls";
+import CardView from "@/components/CardView";
+import type { AnnotationTask } from "../annotation.model";
+import useFetchData from "@/hooks/useFetchData";
 import {
   deleteAnnotationTaskByIdUsingDelete,
   queryAnnotationTasksUsingGet,
@@ -20,6 +21,7 @@ import {
 } from "../annotation.api";
 import { mapAnnotationTask } from "../annotation.const";
 import CreateAnnotationTask from "../Create/components/CreateAnnotationTaskDialog";
+import ExportAnnotationDialog from "./ExportAnnotationDialog";
 import { ColumnType } from "antd/es/table";
 import { TemplateList } from "../Template";
 // Note: DevelopmentInProgress intentionally not used here
@@ -40,13 +42,14 @@ const AUTO_MODEL_SIZE_LABELS: Record<string, string> = {
   x: "YOLOv8x (最精确)",
 };
 
-export default function DataAnnotation() {
-  // return <DevelopmentInProgress showTime="2025.10.30" />;
-  const navigate = useNavigate();
-  const [activeTab, setActiveTab] = useState("tasks");
-  const [viewMode, setViewMode] = useState<"list" | "card">("list");
-  const [showCreateDialog, setShowCreateDialog] = useState(false);
-  const [autoTasks, setAutoTasks] = useState<any[]>([]);
+export default function DataAnnotation() {
+  // return <DevelopmentInProgress showTime="2025.10.30" />;
+  const navigate = useNavigate();
+  const [activeTab, setActiveTab] = useState("tasks");
+  const [viewMode, setViewMode] = useState<"list" | "card">("list");
+  const [showCreateDialog, setShowCreateDialog] = useState(false);
+  const [exportTask, setExportTask] = useState<AnnotationTask | null>(null);
+  const [autoTasks, setAutoTasks] = useState<any[]>([]);
 
   const {
     loading,
@@ -58,8 +61,8 @@ export default function DataAnnotation() {
     handleKeywordChange,
   } = useFetchData(queryAnnotationTasksUsingGet, mapAnnotationTask, 30000, true, [], 0);
 
-  const [selectedRowKeys, setSelectedRowKeys] = useState<(string | number)[]>([]);
-  const [selectedRows, setSelectedRows] = useState<any[]>([]);
+  const [selectedRowKeys, setSelectedRowKeys] = useState<(string | number)[]>([]);
+  const [selectedRows, setSelectedRows] = useState<any[]>([]);
 
   // 拉取自动标注任务（供轮询和创建成功后立即刷新复用）
   const refreshAutoTasks = async (silent = false) => {
@@ -77,24 +80,28 @@ export default function DataAnnotation() {
     }
   };
 
-  // 自动标注任务轮询（用于在同一表格中展示处理进度）
-  useEffect(() => {
-    refreshAutoTasks();
-    const timer = setInterval(() => refreshAutoTasks(true), 3000);
+  // 自动标注任务轮询（用于在同一表格中展示处理进度）
+  useEffect(() => {
+    refreshAutoTasks();
+    const timer = setInterval(() => refreshAutoTasks(true), 3000);
 
     return () => {
       clearInterval(timer);
     };
   }, []);
 
-  const handleAnnotate = (task: AnnotationTask) => {
-    const projectId = (task as any)?.id;
-    if (!projectId) {
-      message.error("无法进入标注：缺少标注项目ID");
-      return;
-    }
-    navigate(`/data/annotation/annotate/${projectId}`);
-  };
+  const handleAnnotate = (task: AnnotationTask) => {
+    const projectId = (task as any)?.id;
+    if (!projectId) {
+      message.error("无法进入标注：缺少标注项目ID");
+      return;
+    }
+    navigate(`/data/annotation/annotate/${projectId}`);
+  };
+
+  const handleExport = (task: AnnotationTask) => {
+    setExportTask(task);
+  };
 
   const handleDelete = (task: AnnotationTask) => {
     Modal.confirm({
@@ -257,6 +264,12 @@ export default function DataAnnotation() {
       ),
       onClick: handleAnnotate,
     },
+    {
+      key: "export",
+      label: "导出",
+      icon: <DownloadOutlined className="w-4 h-4" style={{ color: "#1890ff" }} />,
+      onClick: handleExport,
+    },
     {
       key: "sync",
       label: "同步",
@@ -552,6 +565,13 @@ export default function DataAnnotation() {
                     }
                   }}
                 />
+
+                <ExportAnnotationDialog
+                  open={!!exportTask}
+                  projectId={exportTask?.id || ""}
+                  projectName={exportTask?.name || ""}
+                  onClose={() => setExportTask(null)}
+                />
               </div>
             ),
           },

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

@@ -0,0 +1,219 @@
+import { useState, useEffect } from "react";
+import {
+  Modal,
+  Form,
+  Select,
+  Checkbox,
+  Spin,
+  Statistic,
+  Row,
+  Col,
+  message,
+  Alert,
+} from "antd";
+import { FileTextOutlined, CheckCircleOutlined } from "@ant-design/icons";
+import {
+  getExportStatsUsingGet,
+  downloadAnnotationsUsingGet,
+  ExportFormat,
+} from "../annotation.api";
+
+interface ExportAnnotationDialogProps {
+  open: boolean;
+  projectId: string;
+  projectName: string;
+  onClose: () => void;
+}
+
+const FORMAT_OPTIONS: { label: string; value: ExportFormat; description: string }[] = [
+  {
+    label: "JSON",
+    value: "json",
+    description: "Label Studio 原生格式，包含完整标注结构",
+  },
+  {
+    label: "JSON Lines",
+    value: "jsonl",
+    description: "每行一条记录，适合大数据处理",
+  },
+  {
+    label: "CSV",
+    value: "csv",
+    description: "表格格式，可用 Excel 打开",
+  },
+  {
+    label: "COCO",
+    value: "coco",
+    description: "目标检测通用格式，适用于图像标注",
+  },
+  {
+    label: "YOLO",
+    value: "yolo",
+    description: "YOLO 格式（ZIP），适用于目标检测训练",
+  },
+];
+
+export default function ExportAnnotationDialog({
+  open,
+  projectId,
+  projectName,
+  onClose,
+}: ExportAnnotationDialogProps) {
+  const [form] = Form.useForm();
+  const [loading, setLoading] = useState(false);
+  const [exporting, setExporting] = useState(false);
+  const [stats, setStats] = useState<{
+    totalFiles: number;
+    annotatedFiles: number;
+  } | null>(null);
+
+  // 加载导出统计信息
+  useEffect(() => {
+    if (open && projectId) {
+      setLoading(true);
+      getExportStatsUsingGet(projectId)
+        .then((res: any) => {
+          const data = res?.data || res;
+          setStats({
+            totalFiles: data?.totalFiles || 0,
+            annotatedFiles: data?.annotatedFiles || 0,
+          });
+        })
+        .catch((err) => {
+          console.error("Failed to get export stats:", err);
+          message.error("获取导出统计失败");
+        })
+        .finally(() => {
+          setLoading(false);
+        });
+    }
+  }, [open, projectId]);
+
+  // 重置表单
+  useEffect(() => {
+    if (open) {
+      form.setFieldsValue({
+        format: "json",
+        onlyAnnotated: true,
+        includeData: false,
+      });
+    }
+  }, [open, form]);
+
+  const handleExport = async () => {
+    try {
+      const values = await form.validateFields();
+      setExporting(true);
+
+      const blob = await downloadAnnotationsUsingGet(
+        projectId,
+        values.format,
+        values.onlyAnnotated,
+        values.includeData
+      );
+
+      // 获取文件名
+      const formatExt: Record<ExportFormat, string> = {
+        json: "json",
+        jsonl: "jsonl",
+        csv: "csv",
+        coco: "json",
+        yolo: "zip",
+      };
+      const ext = formatExt[values.format as ExportFormat] || "json";
+      const filename = `${projectName}_annotations.${ext}`;
+
+      // 下载文件
+      const url = window.URL.createObjectURL(blob as Blob);
+      const a = document.createElement("a");
+      a.href = url;
+      a.download = filename;
+      document.body.appendChild(a);
+      a.click();
+      window.URL.revokeObjectURL(url);
+      document.body.removeChild(a);
+
+      message.success("导出成功");
+      onClose();
+    } catch (err: any) {
+      console.error("Export failed:", err);
+      message.error(err?.message || "导出失败，请稍后重试");
+    } finally {
+      setExporting(false);
+    }
+  };
+
+  return (
+    <Modal
+      title="导出标注数据"
+      open={open}
+      onCancel={onClose}
+      onOk={handleExport}
+      okText="导出"
+      cancelText="取消"
+      confirmLoading={exporting}
+      width={520}
+    >
+      <Spin spinning={loading}>
+        {/* 统计信息 */}
+        <div className="mb-4 p-4 bg-gray-50 rounded-lg">
+          <Row gutter={16}>
+            <Col span={12}>
+              <Statistic
+                title="总文件数"
+                value={stats?.totalFiles || 0}
+                prefix={<FileTextOutlined />}
+              />
+            </Col>
+            <Col span={12}>
+              <Statistic
+                title="已标注文件数"
+                value={stats?.annotatedFiles || 0}
+                prefix={<CheckCircleOutlined style={{ color: "#52c41a" }} />}
+              />
+            </Col>
+          </Row>
+        </div>
+
+        {/* 导出选项 */}
+        <Form form={form} layout="vertical">
+          <Form.Item
+            name="format"
+            label="导出格式"
+            rules={[{ required: true, message: "请选择导出格式" }]}
+          >
+            <Select
+              options={FORMAT_OPTIONS.map((opt) => ({
+                label: (
+                  <div>
+                    <div className="font-medium">{opt.label}</div>
+                    <div className="text-xs text-gray-400">{opt.description}</div>
+                  </div>
+                ),
+                value: opt.value,
+              }))}
+              optionLabelProp="label"
+            />
+          </Form.Item>
+
+          <Form.Item name="onlyAnnotated" valuePropName="checked">
+            <Checkbox>仅导出已标注数据</Checkbox>
+          </Form.Item>
+
+          <Form.Item name="includeData" valuePropName="checked">
+            <Checkbox>包含原始数据内容</Checkbox>
+          </Form.Item>
+        </Form>
+
+        {stats && stats.annotatedFiles === 0 && (
+          <Alert
+            type="warning"
+            message="当前项目暂无已标注数据"
+            description="请先完成标注后再导出"
+            showIcon
+          />
+        )}
+      </Spin>
+    </Modal>
+  );
+}

frontend/src/pages/DataAnnotation/annotation.api.ts

@@ -1,5 +1,8 @@
 import { get, post, put, del, download } from "@/utils/request";
 
+// 导出格式类型
+export type ExportFormat = "json" | "jsonl" | "csv" | "coco" | "yolo";
+
 // 标注任务管理相关接口
 export function queryAnnotationTasksUsingGet(params?: any) {
   return get("/api/annotation/project", params);
@@ -62,30 +65,60 @@ export function getAutoAnnotationTaskStatusUsingGet(taskId: string) {
   return get(`/api/annotation/auto/${taskId}/status`);
 }
 
-export function downloadAutoAnnotationResultUsingGet(taskId: string) {
-  return download(`/api/annotation/auto/${taskId}/download`);
-}
-
-// =====================
-// Label Studio Editor（内嵌版）
-// =====================
-
-export function getEditorProjectInfoUsingGet(projectId: string) {
-  return get(`/api/annotation/editor/projects/${projectId}`);
-}
-
-export function listEditorTasksUsingGet(projectId: string, params?: any) {
-  return get(`/api/annotation/editor/projects/${projectId}/tasks`, params);
-}
-
-export function getEditorTaskUsingGet(projectId: string, fileId: string) {
-  return get(`/api/annotation/editor/projects/${projectId}/tasks/${fileId}`);
-}
-
-export function upsertEditorAnnotationUsingPut(
-  projectId: string,
-  fileId: string,
-  data: any
-) {
-  return put(`/api/annotation/editor/projects/${projectId}/tasks/${fileId}/annotation`, data);
-}
+export function downloadAutoAnnotationResultUsingGet(taskId: string) {
+  return download(`/api/annotation/auto/${taskId}/download`);
+}
+
+// =====================
+// Label Studio Editor（内嵌版）
+// =====================
+
+export function getEditorProjectInfoUsingGet(projectId: string) {
+  return get(`/api/annotation/editor/projects/${projectId}`);
+}
+
+export function listEditorTasksUsingGet(projectId: string, params?: any) {
+  return get(`/api/annotation/editor/projects/${projectId}/tasks`, params);
+}
+
+export function getEditorTaskUsingGet(projectId: string, fileId: string) {
+  return get(`/api/annotation/editor/projects/${projectId}/tasks/${fileId}`);
+}
+
+export function upsertEditorAnnotationUsingPut(
+  projectId: string,
+  fileId: string,
+  data: any
+) {
+  return put(`/api/annotation/editor/projects/${projectId}/tasks/${fileId}/annotation`, data);
+}
+
+// =====================
+// 标注数据导出
+// =====================
+
+export interface ExportStatsResponse {
+  projectId: string;
+  projectName: string;
+  totalFiles: number;
+  annotatedFiles: number;
+  exportFormat: string;
+}
+
+export function getExportStatsUsingGet(projectId: string) {
+  return get(`/api/annotation/export/projects/${projectId}/stats`);
+}
+
+export function downloadAnnotationsUsingGet(
+  projectId: string,
+  format: ExportFormat = "json",
+  onlyAnnotated: boolean = true,
+  includeData: boolean = false
+) {
+  const params = new URLSearchParams({
+    format,
+    only_annotated: String(onlyAnnotated),
+    include_data: String(includeData),
+  });
+  return download(`/api/annotation/export/projects/${projectId}/download?${params.toString()}`);
+}

runtime/datamate-python/app/module/annotation/interface/__init__.py

@@ -2,10 +2,11 @@ from fastapi import APIRouter
 
 from .config import router as about_router
 from .project import router as project_router
-from .task import router as task_router
-from .template import router as template_router
-from .auto import router as auto_router
-from .editor import router as editor_router
+from .task import router as task_router
+from .template import router as template_router
+from .auto import router as auto_router
+from .editor import router as editor_router
+from .export import router as export_router
 
 router = APIRouter(
     prefix="/annotation",
@@ -14,7 +15,8 @@ router = APIRouter(
 
 router.include_router(about_router)
 router.include_router(project_router)
-router.include_router(task_router)
-router.include_router(template_router)
-router.include_router(auto_router)
-router.include_router(editor_router)
+router.include_router(task_router)
+router.include_router(template_router)
+router.include_router(auto_router)
+router.include_router(editor_router)
+router.include_router(export_router)

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

@@ -0,0 +1,89 @@
+"""
+标注数据导出接口
+
+提供标注数据的批量导出功能，支持多种格式：
+- JSON: Label Studio 原生格式
+- JSONL: JSON Lines 格式
+- CSV: 表格格式
+- COCO: 目标检测格式
+- YOLO: YOLO 格式
+"""
+
+from __future__ import annotations
+
+from fastapi import APIRouter, Depends, Path, Query
+from fastapi.responses import Response
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.core.logging import get_logger
+from app.db.session import get_db
+from app.module.shared.schema import StandardResponse
+
+from ..schema.export import (
+    ExportAnnotationsRequest,
+    ExportAnnotationsResponse,
+    ExportFormat,
+)
+from ..service.export import AnnotationExportService
+
+logger = get_logger(__name__)
+
+router = APIRouter(
+    prefix="/export",
+    tags=["annotation/export"],
+)
+
+
+@router.get(
+    "/projects/{project_id}/stats",
+    response_model=StandardResponse[ExportAnnotationsResponse],
+)
+async def get_export_stats(
+    project_id: str = Path(..., description="标注项目ID"),
+    db: AsyncSession = Depends(get_db),
+):
+    """获取导出统计信息（总文件数、已标注数等）"""
+    service = AnnotationExportService(db)
+    stats = await service.get_export_stats(project_id)
+    return StandardResponse(code=200, message="success", data=stats)
+
+
+@router.get("/projects/{project_id}/download")
+async def download_annotations(
+    project_id: str = Path(..., description="标注项目ID"),
+    format: ExportFormat = Query(default=ExportFormat.JSON, description="导出格式"),
+    include_data: bool = Query(default=False, description="是否包含原始数据"),
+    only_annotated: bool = Query(default=True, description="是否只导出已标注数据"),
+    db: AsyncSession = Depends(get_db),
+):
+    """
+    下载标注数据
+
+    支持的格式：
+    - json: Label Studio 原生 JSON 格式
+    - jsonl: JSON Lines 格式（每行一条记录）
+    - csv: CSV 表格格式
+    - coco: COCO 目标检测格式
+    - yolo: YOLO 格式（ZIP 压缩包）
+    """
+    service = AnnotationExportService(db)
+
+    request = ExportAnnotationsRequest(
+        format=format,
+        include_data=include_data,
+        only_annotated=only_annotated,
+    )
+
+    content, filename, content_type = await service.export_annotations(
+        project_id=project_id,
+        request=request,
+    )
+
+    return Response(
+        content=content,
+        media_type=content_type,
+        headers={
+            "Content-Disposition": f'attachment; filename="{filename}"',
+            "Content-Length": str(len(content)),
+        },
+    )

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

@@ -0,0 +1,59 @@
+"""
+标注数据导出相关 Schema
+"""
+
+from __future__ import annotations
+
+from datetime import datetime
+from enum import Enum
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class ExportFormat(str, Enum):
+    """导出格式枚举"""
+    JSON = "json"           # Label Studio 原生 JSON 格式
+    JSONL = "jsonl"         # JSON Lines 格式（每行一条记录）
+    CSV = "csv"             # CSV 表格格式
+    COCO = "coco"           # COCO 目标检测格式
+    YOLO = "yolo"           # YOLO 格式
+
+
+class ExportAnnotationsRequest(BaseModel):
+    """导出标注数据请求"""
+    format: ExportFormat = Field(default=ExportFormat.JSON, description="导出格式")
+    include_data: bool = Field(default=True, description="是否包含原始数据（如文本内容）")
+    only_annotated: bool = Field(default=True, description="是否只导出已标注的数据")
+
+    model_config = {"use_enum_values": True}
+
+
+class ExportAnnotationsResponse(BaseModel):
+    """导出标注数据响应（用于预览/统计）"""
+    project_id: str = Field(..., description="项目ID")
+    project_name: str = Field(..., description="项目名称")
+    total_files: int = Field(..., description="总文件数")
+    annotated_files: int = Field(..., description="已标注文件数")
+    export_format: str = Field(..., description="导出格式")
+
+    model_config = {"populate_by_name": True}
+
+
+class AnnotationExportItem(BaseModel):
+    """单条导出记录"""
+    file_id: str = Field(..., description="文件ID")
+    file_name: str = Field(..., description="文件名")
+    data: Optional[Dict[str, Any]] = Field(default=None, description="原始数据")
+    annotations: List[Dict[str, Any]] = Field(default_factory=list, description="标注结果")
+    created_at: Optional[datetime] = Field(default=None, description="创建时间")
+    updated_at: Optional[datetime] = Field(default=None, description="更新时间")
+
+
+class COCOExportFormat(BaseModel):
+    """COCO 格式导出结构"""
+    info: Dict[str, Any] = Field(default_factory=dict)
+    licenses: List[Dict[str, Any]] = Field(default_factory=list)
+    images: List[Dict[str, Any]] = Field(default_factory=list)
+    annotations: List[Dict[str, Any]] = Field(default_factory=list)
+    categories: List[Dict[str, Any]] = Field(default_factory=list)

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

@@ -0,0 +1,420 @@
+"""
+标注数据导出服务
+
+支持的导出格式：
+- JSON: Label Studio 原生 JSON 格式
+- JSONL: JSON Lines 格式（每行一条记录）
+- CSV: CSV 表格格式
+- COCO: COCO 目标检测格式（适用于图像标注）
+- YOLO: YOLO 格式（适用于图像标注）
+"""
+
+from __future__ import annotations
+
+import csv
+import io
+import json
+import os
+import tempfile
+import zipfile
+from datetime import datetime
+from typing import Any, Dict, List, Optional, Tuple
+
+from fastapi import HTTPException
+from sqlalchemy import func, select
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.core.logging import get_logger
+from app.db.models import AnnotationResult, Dataset, DatasetFiles, LabelingProject
+
+from ..schema.export import (
+    AnnotationExportItem,
+    COCOExportFormat,
+    ExportAnnotationsRequest,
+    ExportAnnotationsResponse,
+    ExportFormat,
+)
+
+logger = get_logger(__name__)
+
+
+class AnnotationExportService:
+    """标注数据导出服务"""
+
+    def __init__(self, db: AsyncSession):
+        self.db = db
+
+    async def get_export_stats(self, project_id: str) -> ExportAnnotationsResponse:
+        """获取导出统计信息"""
+        project = await self._get_project_or_404(project_id)
+
+        # 获取总文件数
+        total_result = await self.db.execute(
+            select(func.count()).select_from(DatasetFiles).where(
+                DatasetFiles.dataset_id == project.dataset_id
+            )
+        )
+        total_files = int(total_result.scalar() or 0)
+
+        # 获取已标注文件数
+        annotated_result = await self.db.execute(
+            select(func.count(AnnotationResult.id.distinct())).where(
+                AnnotationResult.project_id == project_id
+            )
+        )
+        annotated_files = int(annotated_result.scalar() or 0)
+
+        return ExportAnnotationsResponse(
+            project_id=project_id,
+            project_name=project.name,
+            total_files=total_files,
+            annotated_files=annotated_files,
+            export_format="json",
+        )
+
+    async def export_annotations(
+        self,
+        project_id: str,
+        request: ExportAnnotationsRequest,
+    ) -> Tuple[bytes, str, str]:
+        """
+        导出标注数据
+
+        返回: (文件内容bytes, 文件名, content_type)
+        """
+        project = await self._get_project_or_404(project_id)
+
+        # 获取标注数据
+        items = await self._fetch_annotation_data(
+            project_id=project_id,
+            dataset_id=project.dataset_id,
+            only_annotated=request.only_annotated,
+            include_data=request.include_data,
+        )
+
+        # 根据格式导出
+        format_type = ExportFormat(request.format) if isinstance(request.format, str) else request.format
+
+        if format_type == ExportFormat.JSON:
+            return self._export_json(items, project.name)
+        elif format_type == ExportFormat.JSONL:
+            return self._export_jsonl(items, project.name)
+        elif format_type == ExportFormat.CSV:
+            return self._export_csv(items, project.name)
+        elif format_type == ExportFormat.COCO:
+            return self._export_coco(items, project.name)
+        elif format_type == ExportFormat.YOLO:
+            return self._export_yolo(items, project.name)
+        else:
+            raise HTTPException(status_code=400, detail=f"不支持的导出格式: {request.format}")
+
+    async def _get_project_or_404(self, project_id: str) -> LabelingProject:
+        """获取标注项目，不存在则抛出 404"""
+        result = await self.db.execute(
+            select(LabelingProject).where(
+                LabelingProject.id == project_id,
+                LabelingProject.deleted_at.is_(None),
+            )
+        )
+        project = result.scalar_one_or_none()
+        if not project:
+            raise HTTPException(status_code=404, detail=f"标注项目不存在: {project_id}")
+        return project
+
+    async def _fetch_annotation_data(
+        self,
+        project_id: str,
+        dataset_id: str,
+        only_annotated: bool = True,
+        include_data: bool = False,
+    ) -> List[AnnotationExportItem]:
+        """获取标注数据列表"""
+        items: List[AnnotationExportItem] = []
+
+        if only_annotated:
+            # 只获取已标注的数据
+            result = await self.db.execute(
+                select(AnnotationResult, DatasetFiles)
+                .join(DatasetFiles, AnnotationResult.file_id == DatasetFiles.id)
+                .where(AnnotationResult.project_id == project_id)
+                .order_by(AnnotationResult.updated_at.desc())
+            )
+            rows = result.all()
+
+            for ann, file in rows:
+                annotation_data = ann.annotation or {}
+                items.append(
+                    AnnotationExportItem(
+                        file_id=str(file.id),
+                        file_name=str(getattr(file, "file_name", "")),
+                        data={"text": ""} if include_data else None,  # TEXT 类型数据需要单独获取
+                        annotations=[annotation_data] if annotation_data else [],
+                        created_at=ann.created_at,
+                        updated_at=ann.updated_at,
+                    )
+                )
+        else:
+            # 获取所有文件，包括未标注的
+            files_result = await self.db.execute(
+                select(DatasetFiles).where(DatasetFiles.dataset_id == dataset_id)
+            )
+            files = files_result.scalars().all()
+
+            # 获取已有的标注
+            ann_result = await self.db.execute(
+                select(AnnotationResult).where(AnnotationResult.project_id == project_id)
+            )
+            annotations = {str(a.file_id): a for a in ann_result.scalars().all()}
+
+            for file in files:
+                file_id = str(file.id)
+                ann = annotations.get(file_id)
+                annotation_data = ann.annotation if ann else {}
+
+                items.append(
+                    AnnotationExportItem(
+                        file_id=file_id,
+                        file_name=str(getattr(file, "file_name", "")),
+                        data={"text": ""} if include_data else None,
+                        annotations=[annotation_data] if annotation_data else [],
+                        created_at=ann.created_at if ann else None,
+                        updated_at=ann.updated_at if ann else None,
+                    )
+                )
+
+        return items
+
+    def _export_json(
+        self, items: List[AnnotationExportItem], project_name: str
+    ) -> Tuple[bytes, str, str]:
+        """导出为 JSON 格式"""
+        export_data = {
+            "project_name": project_name,
+            "export_time": datetime.utcnow().isoformat() + "Z",
+            "total_items": len(items),
+            "annotations": [
+                {
+                    "file_id": item.file_id,
+                    "file_name": item.file_name,
+                    "data": item.data,
+                    "annotations": item.annotations,
+                    "created_at": item.created_at.isoformat() if item.created_at else None,
+                    "updated_at": item.updated_at.isoformat() if item.updated_at else None,
+                }
+                for item in items
+            ],
+        }
+
+        content = json.dumps(export_data, ensure_ascii=False, indent=2).encode("utf-8")
+        filename = f"{project_name}_annotations.json"
+        return content, filename, "application/json"
+
+    def _export_jsonl(
+        self, items: List[AnnotationExportItem], project_name: str
+    ) -> Tuple[bytes, str, str]:
+        """导出为 JSON Lines 格式"""
+        lines = []
+        for item in items:
+            record = {
+                "file_id": item.file_id,
+                "file_name": item.file_name,
+                "data": item.data,
+                "annotations": item.annotations,
+                "created_at": item.created_at.isoformat() if item.created_at else None,
+                "updated_at": item.updated_at.isoformat() if item.updated_at else None,
+            }
+            lines.append(json.dumps(record, ensure_ascii=False))
+
+        content = "\n".join(lines).encode("utf-8")
+        filename = f"{project_name}_annotations.jsonl"
+        return content, filename, "application/x-ndjson"
+
+    def _export_csv(
+        self, items: List[AnnotationExportItem], project_name: str
+    ) -> Tuple[bytes, str, str]:
+        """导出为 CSV 格式"""
+        output = io.StringIO()
+
+        # CSV 表头
+        fieldnames = [
+            "file_id",
+            "file_name",
+            "annotation_result",
+            "labels",
+            "created_at",
+            "updated_at",
+        ]
+
+        writer = csv.DictWriter(output, fieldnames=fieldnames)
+        writer.writeheader()
+
+        for item in items:
+            # 提取标签信息
+            labels = []
+            for ann in item.annotations:
+                results = ann.get("result", [])
+                for r in results:
+                    value = r.get("value", {})
+                    # 提取不同类型的标签值
+                    if "choices" in value:
+                        labels.extend(value["choices"])
+                    elif "text" in value:
+                        labels.append(value["text"])
+                    elif "labels" in value:
+                        labels.extend(value["labels"])
+
+            writer.writerow({
+                "file_id": item.file_id,
+                "file_name": item.file_name,
+                "annotation_result": json.dumps(item.annotations, ensure_ascii=False),
+                "labels": "|".join(labels),
+                "created_at": item.created_at.isoformat() if item.created_at else "",
+                "updated_at": item.updated_at.isoformat() if item.updated_at else "",
+            })
+
+        content = output.getvalue().encode("utf-8-sig")  # BOM for Excel compatibility
+        filename = f"{project_name}_annotations.csv"
+        return content, filename, "text/csv"
+
+    def _export_coco(
+        self, items: List[AnnotationExportItem], project_name: str
+    ) -> Tuple[bytes, str, str]:
+        """导出为 COCO 格式（适用于目标检测标注）"""
+        coco_format = COCOExportFormat(
+            info={
+                "description": f"Exported from DataMate project: {project_name}",
+                "version": "1.0",
+                "year": datetime.utcnow().year,
+                "date_created": datetime.utcnow().isoformat(),
+            },
+            licenses=[{"id": 1, "name": "Unknown", "url": ""}],
+            images=[],
+            annotations=[],
+            categories=[],
+        )
+
+        category_map: Dict[str, int] = {}
+        annotation_id = 1
+
+        for idx, item in enumerate(items):
+            image_id = idx + 1
+
+            # 添加图片信息
+            coco_format.images.append({
+                "id": image_id,
+                "file_name": item.file_name,
+                "width": 0,  # 需要实际图片尺寸
+                "height": 0,
+            })
+
+            # 处理标注
+            for ann in item.annotations:
+                results = ann.get("result", [])
+                for r in results:
+                    # 处理矩形框标注 (rectanglelabels)
+                    if r.get("type") == "rectanglelabels":
+                        value = r.get("value", {})
+                        labels = value.get("rectanglelabels", [])
+
+                        for label in labels:
+                            if label not in category_map:
+                                category_map[label] = len(category_map) + 1
+                                coco_format.categories.append({
+                                    "id": category_map[label],
+                                    "name": label,
+                                    "supercategory": "",
+                                })
+
+                            # 转换坐标（Label Studio 使用百分比）
+                            x = value.get("x", 0)
+                            y = value.get("y", 0)
+                            width = value.get("width", 0)
+                            height = value.get("height", 0)
+
+                            coco_format.annotations.append({
+                                "id": annotation_id,
+                                "image_id": image_id,
+                                "category_id": category_map[label],
+                                "bbox": [x, y, width, height],
+                                "area": width * height,
+                                "iscrowd": 0,
+                            })
+                            annotation_id += 1
+
+        content = json.dumps(coco_format.model_dump(), ensure_ascii=False, indent=2).encode("utf-8")
+        filename = f"{project_name}_coco.json"
+        return content, filename, "application/json"
+
+    def _export_yolo(
+        self, items: List[AnnotationExportItem], project_name: str
+    ) -> Tuple[bytes, str, str]:
+        """导出为 YOLO 格式（ZIP 包含 txt 标注文件和 classes.txt）"""
+
+        # 创建临时目录
+        tmp_fd, tmp_path = tempfile.mkstemp(suffix=".zip")
+        os.close(tmp_fd)
+
+        category_set: set = set()
+        txt_files: Dict[str, str] = {}
+
+        for item in items:
+            lines = []
+
+            for ann in item.annotations:
+                results = ann.get("result", [])
+                for r in results:
+                    # 处理矩形框标注
+                    if r.get("type") == "rectanglelabels":
+                        value = r.get("value", {})
+                        labels = value.get("rectanglelabels", [])
+
+                        for label in labels:
+                            category_set.add(label)
+
+                            # YOLO 格式：class_id x_center y_center width height (归一化 0-1)
+                            x = value.get("x", 0) / 100
+                            y = value.get("y", 0) / 100
+                            w = value.get("width", 0) / 100
+                            h = value.get("height", 0) / 100
+
+                            x_center = x + w / 2
+                            y_center = y + h / 2
+
+                            lines.append(f"{label} {x_center:.6f} {y_center:.6f} {w:.6f} {h:.6f}")
+
+            if lines:
+                # 生成对应的 txt 文件名
+                base_name = os.path.splitext(item.file_name)[0]
+                txt_files[f"{base_name}.txt"] = "\n".join(lines)
+
+        # 生成类别列表
+        categories = sorted(category_set)
+        category_map = {cat: idx for idx, cat in enumerate(categories)}
+
+        # 更新 txt 文件中的类别索引
+        for filename, content in txt_files.items():
+            updated_lines = []
+            for line in content.split("\n"):
+                parts = line.split(" ", 1)
+                if len(parts) == 2:
+                    label, coords = parts
+                    class_id = category_map.get(label, 0)
+                    updated_lines.append(f"{class_id} {coords}")
+            txt_files[filename] = "\n".join(updated_lines)
+
+        # 创建 ZIP 文件
+        with zipfile.ZipFile(tmp_path, "w", zipfile.ZIP_DEFLATED) as zf:
+            # 写入 classes.txt
+            zf.writestr("classes.txt", "\n".join(categories))
+
+            # 写入标注文件
+            for filename, content in txt_files.items():
+                zf.writestr(f"labels/{filename}", content)
+
+        with open(tmp_path, "rb") as f:
+            content = f.read()
+
+        os.unlink(tmp_path)
+
+        filename = f"{project_name}_yolo.zip"
+        return content, filename, "application/zip"