You've already forked DataMate
Jerry Yan
c48d2fdeb8
- 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
90 lines
2.5 KiB
Python
90 lines
2.5 KiB
Python
"""
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标注数据导出接口
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提供标注数据的批量导出功能，支持多种格式：
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- JSON: Label Studio 原生格式
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- JSONL: JSON Lines 格式
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- CSV: 表格格式
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- COCO: 目标检测格式
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- YOLO: YOLO 格式
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"""
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from __future__ import annotations
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from fastapi import APIRouter, Depends, Path, Query
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from fastapi.responses import Response
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.logging import get_logger
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from app.db.session import get_db
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from app.module.shared.schema import StandardResponse
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from ..schema.export import (
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ExportAnnotationsRequest,
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ExportAnnotationsResponse,
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ExportFormat,
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)
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from ..service.export import AnnotationExportService
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logger = get_logger(__name__)
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router = APIRouter(
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prefix="/export",
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tags=["annotation/export"],
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)
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@router.get(
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"/projects/{project_id}/stats",
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response_model=StandardResponse[ExportAnnotationsResponse],
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)
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async def get_export_stats(
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project_id: str = Path(..., description="标注项目ID"),
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db: AsyncSession = Depends(get_db),
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):
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"""获取导出统计信息（总文件数、已标注数等）"""
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service = AnnotationExportService(db)
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stats = await service.get_export_stats(project_id)
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return StandardResponse(code=200, message="success", data=stats)
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@router.get("/projects/{project_id}/download")
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async def download_annotations(
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project_id: str = Path(..., description="标注项目ID"),
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format: ExportFormat = Query(default=ExportFormat.JSON, description="导出格式"),
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include_data: bool = Query(default=False, description="是否包含原始数据"),
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only_annotated: bool = Query(default=True, description="是否只导出已标注数据"),
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db: AsyncSession = Depends(get_db),
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):
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"""
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下载标注数据
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支持的格式：
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- json: Label Studio 原生 JSON 格式
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- jsonl: JSON Lines 格式（每行一条记录）
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- csv: CSV 表格格式
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- coco: COCO 目标检测格式
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- yolo: YOLO 格式（ZIP 压缩包）
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"""
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service = AnnotationExportService(db)
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request = ExportAnnotationsRequest(
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format=format,
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include_data=include_data,
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only_annotated=only_annotated,
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)
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content, filename, content_type = await service.export_annotations(
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project_id=project_id,
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request=request,
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)
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return Response(
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content=content,
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media_type=content_type,
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headers={
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"Content-Disposition": f'attachment; filename="{filename}"',
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"Content-Length": str(len(content)),
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},
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)
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