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* feat(auto-annotation): initial setup * chore: remove package-lock.json * chore: 清理本地测试脚本与 Maven 设置 * chore: change package-lock.json
74 lines
3.5 KiB
Python
74 lines
3.5 KiB
Python
"""Schemas for Auto Annotation tasks"""
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from __future__ import annotations
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from typing import List, Optional, Dict, Any
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from datetime import datetime
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from pydantic import BaseModel, Field, ConfigDict
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class AutoAnnotationConfig(BaseModel):
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"""自动标注任务配置（与前端 payload 对齐）"""
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model_size: str = Field(alias="modelSize", description="模型规模: n/s/m/l/x")
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conf_threshold: float = Field(alias="confThreshold", description="置信度阈值 0-1")
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target_classes: List[int] = Field(
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default_factory=list,
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alias="targetClasses",
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description="目标类别ID列表，空表示全部类别",
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)
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output_dataset_name: Optional[str] = Field(
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default=None,
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alias="outputDatasetName",
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description="自动标注结果要写入的新数据集名称（可选）",
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)
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model_config = ConfigDict(populate_by_name=True)
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class CreateAutoAnnotationTaskRequest(BaseModel):
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"""创建自动标注任务的请求体，对齐前端 CreateAutoAnnotationDialog 发送的结构"""
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name: str = Field(..., min_length=1, max_length=255, description="任务名称")
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dataset_id: str = Field(..., alias="datasetId", description="数据集ID")
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config: AutoAnnotationConfig = Field(..., description="任务配置")
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file_ids: Optional[List[str]] = Field(None, alias="fileIds", description="要处理的文件ID列表，为空则处理数据集中所有图像")
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model_config = ConfigDict(populate_by_name=True)
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class AutoAnnotationTaskResponse(BaseModel):
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"""自动标注任务响应模型（列表/详情均可复用）"""
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id: str = Field(..., description="任务ID")
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name: str = Field(..., description="任务名称")
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dataset_id: str = Field(..., alias="datasetId", description="数据集ID")
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dataset_name: Optional[str] = Field(None, alias="datasetName", description="数据集名称")
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source_datasets: Optional[List[str]] = Field(
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default=None,
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alias="sourceDatasets",
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description="本任务实际处理涉及到的所有数据集名称列表",
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)
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config: Dict[str, Any] = Field(..., description="任务配置")
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status: str = Field(..., description="任务状态")
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progress: int = Field(..., description="任务进度 0-100")
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total_images: int = Field(..., alias="totalImages", description="总图片数")
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processed_images: int = Field(..., alias="processedImages", description="已处理图片数")
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detected_objects: int = Field(..., alias="detectedObjects", description="检测到的对象总数")
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output_path: Optional[str] = Field(None, alias="outputPath", description="输出路径")
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error_message: Optional[str] = Field(None, alias="errorMessage", description="错误信息")
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created_at: datetime = Field(..., alias="createdAt", description="创建时间")
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updated_at: Optional[datetime] = Field(None, alias="updatedAt", description="更新时间")
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completed_at: Optional[datetime] = Field(None, alias="completedAt", description="完成时间")
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model_config = ConfigDict(populate_by_name=True, from_attributes=True)
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class AutoAnnotationTaskListResponse(BaseModel):
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"""自动标注任务列表响应，目前前端直接使用数组，这里预留分页结构"""
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content: List[AutoAnnotationTaskResponse] = Field(..., description="任务列表")
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total: int = Field(..., description="总数")
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model_config = ConfigDict(populate_by_name=True)
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