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