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- 扩展标注编辑器支持 TEXT/IMAGE 数据类型 - 添加三个内置图像标注模板:目标检测、语义分割(掩码)、语义分割(多边形) - 实现内置标注模板的数据库初始化功能 - 集成标注配置验证和模板管理服务 - 更新项目不支持提示信息以反映新的数据类型支持
94 lines
3.2 KiB
Python
94 lines
3.2 KiB
Python
"""
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Label Studio Editor(前端嵌入式)接口
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说明:
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- 不依赖 Label Studio Server;仅复用其“编辑器”前端库
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- DataMate 负责提供 tasks/annotations 数据与保存能力
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- 当前支持 dataset_type=TEXT/IMAGE 的项目
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"""
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from __future__ import annotations
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from typing import Optional
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from fastapi import APIRouter, Depends, Query, Path
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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.annotation.schema.editor import (
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EditorProjectInfo,
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EditorTaskListResponse,
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EditorTaskResponse,
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UpsertAnnotationRequest,
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UpsertAnnotationResponse,
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)
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from app.module.annotation.service.editor import AnnotationEditorService
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from app.module.shared.schema import StandardResponse
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logger = get_logger(__name__)
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router = APIRouter(
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prefix="/editor",
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tags=["annotation/editor"],
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)
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@router.get(
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"/projects/{project_id}",
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response_model=StandardResponse[EditorProjectInfo],
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)
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async def get_editor_project_info(
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project_id: str = Path(..., description="标注项目ID(t_dm_labeling_projects.id)"),
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db: AsyncSession = Depends(get_db),
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):
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service = AnnotationEditorService(db)
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info = await service.get_project_info(project_id)
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return StandardResponse(code=200, message="success", data=info)
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@router.get(
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"/projects/{project_id}/tasks",
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response_model=StandardResponse[EditorTaskListResponse],
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)
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async def list_editor_tasks(
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project_id: str = Path(..., description="标注项目ID(t_dm_labeling_projects.id)"),
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page: int = Query(0, ge=0, description="页码(从0开始)"),
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size: int = Query(50, ge=1, le=200, description="每页大小"),
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db: AsyncSession = Depends(get_db),
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):
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service = AnnotationEditorService(db)
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result = await service.list_tasks(project_id, page=page, size=size)
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return StandardResponse(code=200, message="success", data=result)
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@router.get(
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"/projects/{project_id}/tasks/{file_id}",
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response_model=StandardResponse[EditorTaskResponse],
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)
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async def get_editor_task(
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project_id: str = Path(..., description="标注项目ID(t_dm_labeling_projects.id)"),
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file_id: str = Path(..., description="文件ID(t_dm_dataset_files.id)"),
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segment_index: Optional[int] = Query(None, alias="segmentIndex", description="段落索引(分段模式下使用)"),
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db: AsyncSession = Depends(get_db),
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):
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service = AnnotationEditorService(db)
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task = await service.get_task(project_id, file_id, segment_index=segment_index)
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return StandardResponse(code=200, message="success", data=task)
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@router.put(
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"/projects/{project_id}/tasks/{file_id}/annotation",
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response_model=StandardResponse[UpsertAnnotationResponse],
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)
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async def upsert_editor_annotation(
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request: UpsertAnnotationRequest,
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project_id: str = Path(..., description="标注项目ID(t_dm_labeling_projects.id)"),
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file_id: str = Path(..., description="文件ID(t_dm_dataset_files.id)"),
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db: AsyncSession = Depends(get_db),
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):
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service = AnnotationEditorService(db)
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result = await service.upsert_annotation(project_id, file_id, request)
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return StandardResponse(code=200, message="success", data=result)
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