from app.core.base_schema import CommonSchema
"""育种目标 —— Pydantic 校验/序列化模型。"""
from datetime import datetime

from pydantic import BaseModel, ConfigDict, Field


class TargetBaseSchema(BaseModel):
    model_config = ConfigDict(from_attributes=True)

    target_name: str = Field(..., description="目标名称")
    plan_id: int | None = Field(default=None, description="所属育种计划 id")
    series: str | None = Field(default=None, description="系列/品系")
    description: str | None = Field(default=None, description="目标描述")
    is_preset: str | None = Field(default=None, description="是否预设")
    remark: str | None = Field(default=None, description="备注")


class TargetCreateSchema(TargetBaseSchema):
    pass


class TargetUpdateSchema(TargetBaseSchema):
    target_name: str | None = Field(default=None, description="目标名称")
    series: str | None = Field(default=None, description="系列/品系")
    description: str | None = Field(default=None, description="目标描述")
    is_preset: str | None = Field(default=None, description="是否预设")
    remark: str | None = Field(default=None, description="备注")


class TargetOutSchema(TargetBaseSchema):
    id: int
    uuid: str
    target_name: str | None = None
    plan_id: int | None = None
    plan_name: str | None = None
    series: str | None = None
    description: str | None = None
    is_preset: 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 TargetQueryParam(BaseModel):
    target_name: str | None = Field(default=None, description="目标名称", json_schema_extra={"q": "like"})
    series: str | None = Field(default=None, description="系列/品系", json_schema_extra={"q": "like"})