feat(auto-annotation): integrate YOLO auto-labeling and enhance data management (#223)

* 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

runtime/datamate-python/app/module/annotation/schema/auto.py

@@ -0,0 +1,73 @@
+"""Schemas for Auto Annotation tasks"""
+from __future__ import annotations
+
+from typing import List, Optional, Dict, Any
+from datetime import datetime
+
+from pydantic import BaseModel, Field, ConfigDict
+
+
+class AutoAnnotationConfig(BaseModel):
+    """自动标注任务配置（与前端 payload 对齐）"""
+
+    model_size: str = Field(alias="modelSize", description="模型规模: n/s/m/l/x")
+    conf_threshold: float = Field(alias="confThreshold", description="置信度阈值 0-1")
+    target_classes: List[int] = Field(
+        default_factory=list,
+        alias="targetClasses",
+        description="目标类别ID列表，空表示全部类别",
+    )
+    output_dataset_name: Optional[str] = Field(
+        default=None,
+        alias="outputDatasetName",
+        description="自动标注结果要写入的新数据集名称（可选）",
+    )
+
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class CreateAutoAnnotationTaskRequest(BaseModel):
+    """创建自动标注任务的请求体，对齐前端 CreateAutoAnnotationDialog 发送的结构"""
+
+    name: str = Field(..., min_length=1, max_length=255, description="任务名称")
+    dataset_id: str = Field(..., alias="datasetId", description="数据集ID")
+    config: AutoAnnotationConfig = Field(..., description="任务配置")
+    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")
+
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class AutoAnnotationTaskResponse(BaseModel):
+    """自动标注任务响应模型（列表/详情均可复用）"""
+
+    id: str = Field(..., description="任务ID")
+    name: str = Field(..., description="任务名称")
+    dataset_id: str = Field(..., alias="datasetId", description="数据集ID")
+    dataset_name: Optional[str] = Field(None, alias="datasetName", description="数据集名称")
+    source_datasets: Optional[List[str]] = Field(
+        default=None,
+        alias="sourceDatasets",
+        description="本任务实际处理涉及到的所有数据集名称列表",
+    )
+    config: Dict[str, Any] = Field(..., description="任务配置")
+    status: str = Field(..., description="任务状态")
+    progress: int = Field(..., description="任务进度 0-100")
+    total_images: int = Field(..., alias="totalImages", description="总图片数")
+    processed_images: int = Field(..., alias="processedImages", description="已处理图片数")
+    detected_objects: int = Field(..., alias="detectedObjects", description="检测到的对象总数")
+    output_path: Optional[str] = Field(None, alias="outputPath", description="输出路径")
+    error_message: Optional[str] = Field(None, alias="errorMessage", description="错误信息")
+    created_at: datetime = Field(..., alias="createdAt", description="创建时间")
+    updated_at: Optional[datetime] = Field(None, alias="updatedAt", description="更新时间")
+    completed_at: Optional[datetime] = Field(None, alias="completedAt", description="完成时间")
+
+    model_config = ConfigDict(populate_by_name=True, from_attributes=True)
+
+
+class AutoAnnotationTaskListResponse(BaseModel):
+    """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"""
+
+    content: List[AutoAnnotationTaskResponse] = Field(..., description="任务列表")
+    total: int = Field(..., description="总数")
+
+    model_config = ConfigDict(populate_by_name=True)