Files
DataMate/runtime/datamate-python/app/module/annotation/schema/mapping.py
Jason Wang b5fe787c20 feat: Labeling Frontend adaptations + Backend build and deploy + Logging improvement (#55)
* feat: Front-end data annotation page adaptation to the backend API.

* feat: Implement labeling configuration editor and enhance annotation task creation form

* feat: add python backend build and deployment; add backend configuration for Label Studio integration and improve logging setup

* refactor: remove duplicate log configuration
2025-11-05 01:55:53 +08:00

52 lines
2.2 KiB
Python

from pydantic import Field, BaseModel
from typing import Optional
from datetime import datetime
from app.module.shared.schema import BaseResponseModel
from app.module.shared.schema import StandardResponse
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` (camelCase), so provide aliases so pydantic will map them
to the internal attributes used in the service code (dataset_id, name,
description).
"""
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")
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):
dataset_id: str = Field(..., description="源数据集ID")
"""数据集映射 查询 响应模型"""
id: str = Field(..., description="映射UUID")
labeling_project_id: str = Field(..., description="标注项目ID")
name: Optional[str] = Field(None, description="标注项目名称")
created_at: datetime = Field(..., description="创建时间")
deleted_at: Optional[datetime] = Field(None, 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")