"""超期预警 —— Pydantic 校验/序列化模型。"""
from datetime import datetime

from pydantic import BaseModel, ConfigDict, Field

from app.core.base_schema import CommonSchema


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

    id: int
    uuid: str
    alert_type: str | None = None
    entity_type: str | None = None
    entity_id: int | None = None
    message: str | None = None
    status: str | None = None
    created_time: datetime | None = None
    updated_time: datetime | None = None
    created_by: CommonSchema | None = None
    updated_by: CommonSchema | None = None


class AlertQueryParam(BaseModel):
    alert_type: str | None = Field(default=None, description="预警类型", json_schema_extra={"q": "eq"})
    entity_type: str | None = Field(default=None, description="实体类型(业务表名)", json_schema_extra={"q": "like"})
    entity_id: int | None = Field(default=None, description="实体ID", json_schema_extra={"q": "eq"})
    status: str | None = Field(default=None, description="状态(open/resolved)", json_schema_extra={"q": "eq"})
    created_time: list[datetime] | None = Field(default=None, description="创建时间范围(_time 后缀由 search_to_dict 合并为 between)")