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deepdata/runtime/deepdata-python/app/module/annotation/schema/config.py
T

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Python

from typing import Dict, Any, List, Optional
from pydantic import BaseModel, Field, ConfigDict
from app.module.shared.schema import BaseResponseModel
from app.module.shared.schema import StandardResponse
class ConfigResponse(BaseResponseModel):
"""配置信息响应模型"""
label_studio_url: str = Field(..., description="Label Studio基础URL")
class _TagAttributeConfig(BaseModel):
"""标签属性配置"""
type: Optional[str] = Field(None, description="属性类型: boolean/string/number")
values: Optional[List[str]] = Field(None, description="允许的枚举值列表")
default: Optional[Any] = Field(None, description="默认值")
description: Optional[str] = Field(None, description="属性描述")
model_config = ConfigDict(populate_by_name=True)
class _TagDefinition(BaseModel):
"""标签定义"""
description: str = Field(..., description="标签描述")
required_attrs: List[str] = Field(default_factory=list, alias="requiredAttrs", description="必需属性列表")
optional_attrs: Dict[str, _TagAttributeConfig] = Field(default_factory=dict, alias="optionalAttrs", description="可选属性配置")
requires_children: bool = Field(default=False, alias="requiresChildren", description="是否需要子元素")
child_tag: Optional[str] = Field(None, alias="childTag", description="子元素标签名")
child_required_attrs: Optional[List[str]] = Field(None, alias="childRequiredAttrs", description="子元素必需属性")
category: Optional[str] = Field(None, description="标签分类")
class TagConfigResponse(BaseResponseModel):
"""标签配置响应"""
objects: Dict[str, _TagDefinition] = Field(default_factory=dict, description="对象标签配置")
controls: Dict[str, _TagDefinition] = Field(default_factory=dict, description="控件标签配置")