You've already forked DataMate
Jerry Yan
0b69845a29
- 在 EditorProjectInfo 中增加 datasetType 字段 - 移除前端硬编码的源文档扩展名列表 - 添加 isTextProject 判断逻辑 - 实现 prefetch 和 loadTasks 中的源文档排除参数 - 在后端接口中添加 excludeSourceDocuments 参数 - 实现源文档类型的数据库查询过滤逻辑 - 优化任务列表加载性能，避免不必要的源文档加载
115 lines
4.9 KiB
Python
115 lines
4.9 KiB
Python
"""
|
|
标注编辑器（Label Studio Editor）接口模型
|
|
|
|
设计目标：
|
|
- 单人单份最终标签：每个 project_id + file_id 只维护 1 条最终标注结果
|
|
- 完全兼容 Label Studio：标注结果以 annotation 原始 JSON 形式存储与返回
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
from datetime import datetime
|
|
from typing import Any, Dict, List, Optional
|
|
|
|
from pydantic import BaseModel, Field, ConfigDict
|
|
|
|
|
|
class EditorProjectInfo(BaseModel):
|
|
"""编辑器项目元信息"""
|
|
|
|
project_id: str = Field(..., alias="projectId", description="DataMate 标注项目ID（t_dm_labeling_projects.id）")
|
|
dataset_id: str = Field(..., alias="datasetId", description="数据集ID（t_dm_datasets.id）")
|
|
dataset_type: Optional[str] = Field(
|
|
None,
|
|
alias="datasetType",
|
|
description="数据集类型（TEXT/IMAGE/AUDIO/VIDEO 等）",
|
|
)
|
|
template_id: Optional[str] = Field(None, alias="templateId", description="模板ID（t_dm_annotation_templates.id）")
|
|
label_config: Optional[str] = Field(None, alias="labelConfig", description="Label Studio XML 配置")
|
|
supported: bool = Field(..., description="当前数据类型是否支持内嵌编辑器")
|
|
unsupported_reason: Optional[str] = Field(None, alias="unsupportedReason", description="不支持原因（当 supported=false）")
|
|
|
|
model_config = ConfigDict(populate_by_name=True)
|
|
|
|
|
|
class EditorTaskListItem(BaseModel):
|
|
"""编辑器任务列表条目（对应一个数据集文件）"""
|
|
|
|
file_id: str = Field(..., alias="fileId", description="文件ID")
|
|
file_name: str = Field(..., alias="fileName", description="文件名")
|
|
file_type: Optional[str] = Field(None, alias="fileType", description="文件类型")
|
|
has_annotation: bool = Field(..., alias="hasAnnotation", description="是否已有最终标注")
|
|
annotation_updated_at: Optional[datetime] = Field(None, alias="annotationUpdatedAt", description="标注更新时间")
|
|
|
|
model_config = ConfigDict(populate_by_name=True)
|
|
|
|
|
|
class EditorTaskListResponse(BaseModel):
|
|
"""编辑器任务列表响应"""
|
|
|
|
content: List[EditorTaskListItem] = Field(..., description="任务列表")
|
|
total_elements: int = Field(..., alias="totalElements", description="总条数")
|
|
total_pages: int = Field(..., alias="totalPages", description="总页数")
|
|
page: int = Field(..., description="页码（从0开始）")
|
|
size: int = Field(..., description="每页大小")
|
|
|
|
model_config = ConfigDict(populate_by_name=True)
|
|
|
|
|
|
class SegmentInfo(BaseModel):
|
|
"""段落信息（用于文本分段标注）"""
|
|
|
|
idx: int = Field(..., description="段落索引")
|
|
text: str = Field(..., description="段落文本")
|
|
start: int = Field(..., description="在原文中的起始位置")
|
|
end: int = Field(..., description="在原文中的结束位置")
|
|
has_annotation: bool = Field(False, alias="hasAnnotation", description="该段落是否已有标注")
|
|
line_index: int = Field(0, alias="lineIndex", description="JSONL 行索引（从0开始）")
|
|
chunk_index: int = Field(0, alias="chunkIndex", description="行内分片索引（从0开始）")
|
|
|
|
model_config = ConfigDict(populate_by_name=True)
|
|
|
|
|
|
class EditorTaskResponse(BaseModel):
|
|
"""编辑器任务详情（可直接喂给 Label Studio Editor 的 task 对象）"""
|
|
|
|
task: Dict[str, Any] = Field(..., description="Label Studio task 对象")
|
|
annotation_updated_at: Optional[datetime] = Field(None, alias="annotationUpdatedAt", description="标注更新时间")
|
|
|
|
# 分段相关字段
|
|
segmented: bool = Field(False, description="是否启用分段模式")
|
|
segments: Optional[List[SegmentInfo]] = Field(None, description="段落列表")
|
|
total_segments: int = Field(0, alias="totalSegments", description="总段落数")
|
|
current_segment_index: int = Field(0, alias="currentSegmentIndex", description="当前段落索引")
|
|
|
|
model_config = ConfigDict(populate_by_name=True)
|
|
|
|
|
|
class UpsertAnnotationRequest(BaseModel):
|
|
"""保存/覆盖最终标注（Label Studio annotation 原始对象）"""
|
|
|
|
annotation: Dict[str, Any] = Field(..., description="Label Studio annotation 对象（包含 result 等）")
|
|
expected_updated_at: Optional[datetime] = Field(
|
|
None,
|
|
alias="expectedUpdatedAt",
|
|
description="乐观锁：若提供则要求与当前记录 updated_at 一致，否则返回 409",
|
|
)
|
|
# 分段保存支持
|
|
segment_index: Optional[int] = Field(
|
|
None,
|
|
alias="segmentIndex",
|
|
description="段落索引（分段模式下必填）",
|
|
)
|
|
|
|
model_config = ConfigDict(populate_by_name=True)
|
|
|
|
|
|
class UpsertAnnotationResponse(BaseModel):
|
|
"""保存/覆盖最终标注响应"""
|
|
|
|
annotation_id: str = Field(..., alias="annotationId", description="标注结果ID（t_dm_annotation_results.id）")
|
|
updated_at: datetime = Field(..., alias="updatedAt", description="标注更新时间")
|
|
|
|
model_config = ConfigDict(populate_by_name=True)
|
|
|