deepdata: core product code (backend, frontend, runtime, deepflow module)

2026-08-30 19:23:38 +08:00
commit bd3db30be9
1405 changed files with 271727 additions and 0 deletions
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+from pydantic import Field, BaseModel
+from typing import Optional, TYPE_CHECKING, List
+from datetime import datetime
+
+from app.module.shared.schema import BaseResponseModel
+from app.module.shared.schema import StandardResponse
+
+if TYPE_CHECKING:
+    from .template import AnnotationTemplateResponse
+
+
+class DatasetMappingCreateRequest(BaseModel):
+    """数据集映射 创建 请求模型
+
+    Accept both snake_case and camelCase field names from frontend JSON by
+    declaring explicit aliases. Frontend sends `datasetId`, `name`,
+    `description`, `templateId`, `fileIds` (camelCase), so provide aliases so
+    pydantic will map them to the internal attributes used in the service code
+    (dataset_id, name, description, template_id, file_ids).
+    """
+    dataset_id: str = Field(..., alias="datasetId", description="源数据集ID")
+    name: Optional[str] = Field(None, alias="name", description="标注项目名称")
+    description: Optional[str] = Field(None, alias="description", description="标注项目描述")
+    template_id: Optional[str] = Field(None, alias="templateId", description="标注模板ID")
+    file_ids: Optional[List[str]] = Field(None, alias="fileIds", description="限制同步的文件ID列表，可跨多个数据集")
+
+    class Config:
+        # allow population by field name when constructing model programmatically
+        validate_by_name = True
+
+class DatasetMappingCreateResponse(BaseResponseModel):
+    """数据集映射 创建 响应模型"""
+    id: str = Field(..., description="映射UUID")
+    labeling_project_id: str = Field(..., description="Label Studio项目ID")
+    labeling_project_name: str = Field(..., description="Label Studio项目名称")
+
+class DatasetMappingUpdateRequest(BaseResponseModel):
+    """数据集映射 更新 请求模型"""
+    dataset_id: Optional[str] = Field(None, description="源数据集ID")
+
+class DatasetMappingResponse(BaseModel):
+    """数据集映射 查询 响应模型"""
+    id: str = Field(..., description="映射UUID")
+    dataset_id: str = Field(..., alias="datasetId", description="源数据集ID")
+    dataset_name: Optional[str] = Field(None, alias="datasetName", description="数据集名称")
+    labeling_project_id: str = Field(..., alias="labelingProjectId", description="标注项目ID")
+    name: Optional[str] = Field(None, description="标注项目名称")
+    description: Optional[str] = Field(None, description="标注项目描述")
+    template_id: Optional[str] = Field(None, alias="templateId", description="关联的模板ID")
+    template: Optional['AnnotationTemplateResponse'] = Field(None, description="关联的标注模板详情")
+    created_at: datetime = Field(..., alias="createdAt", description="创建时间")
+    updated_at: Optional[datetime] = Field(None, alias="updatedAt", description="更新时间")
+    deleted_at: Optional[datetime] = Field(None, alias="deletedAt", description="删除时间")
+    
+    class Config:
+        from_attributes = True
+        populate_by_name = True
+        
+class DeleteDatasetResponse(BaseResponseModel):
+    """删除数据集响应模型"""
+    id: str = Field(..., description="映射UUID")
+    status: str = Field(..., description="删除状态")