from app.core.base_schema import CommonSchema """系谱管理 —— Pydantic 校验/序列化模型。""" from datetime import datetime from pydantic import BaseModel, ConfigDict, Field class PedigreeBaseSchema(BaseModel): model_config = ConfigDict(from_attributes=True) combination_id: int = Field(..., description="来源杂交组合") child_code: str = Field(..., description="子代种质编号") dam_id: int | None = Field(default=None, description="母本种质(规格 §3.18)") sire_id: int | None = Field(default=None, description="父本种质(规格 §3.18)") generation: str | None = Field(default=None, description="世代") remark: str | None = Field(default=None, description="备注") class PedigreeCreateSchema(PedigreeBaseSchema): pass class PedigreeUpdateSchema(PedigreeBaseSchema): combination_id: int | None = Field(default=None, description="来源杂交组合") child_code: str | None = Field(default=None, description="子代种质编号") dam_id: int | None = Field(default=None, description="母本种质(规格 §3.18)") sire_id: int | None = Field(default=None, description="父本种质(规格 §3.18)") generation: str | None = Field(default=None, description="世代") remark: str | None = Field(default=None, description="备注") class PedigreeOutSchema(PedigreeBaseSchema): id: int uuid: str combination_name: str | None = None # 由 Service 层联表填充 dam_name: str | None = None # 母本名称(联表填充) sire_name: str | None = None # 父本名称(联表填充) child_code: str | None = None generation: str | None = None remark: str | None = None created_time: datetime | None = None updated_time: datetime | None = None created_by: CommonSchema | None = None updated_by: CommonSchema | None = None class PedigreeQueryParam(BaseModel): combination_id: int | None = Field(default=None, description="来源杂交组合", json_schema_extra={"q": "eq"}) child_code: str | None = Field(default=None, description="子代种质编号", json_schema_extra={"q": "like"}) dam_id: int | None = Field(default=None, description="母本种质", json_schema_extra={"q": "eq"}) sire_id: int | None = Field(default=None, description="父本种质", json_schema_extra={"q": "eq"}) generation: str | None = Field(default=None, description="世代", json_schema_extra={"q": "eq"})