31 lines
1.2 KiB
Python
31 lines
1.2 KiB
Python
"""超期预警 —— Pydantic 校验/序列化模型。"""
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from datetime import datetime
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from pydantic import BaseModel, ConfigDict, Field
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from app.core.base_schema import CommonSchema
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class AlertOutSchema(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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id: int
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uuid: str
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alert_type: str | None = None
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entity_type: str | None = None
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entity_id: int | None = None
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message: str | None = None
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status: str | None = None
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created_time: datetime | None = None
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updated_time: datetime | None = None
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created_by: CommonSchema | None = None
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updated_by: CommonSchema | None = None
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class AlertQueryParam(BaseModel):
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alert_type: str | None = Field(default=None, description="预警类型", json_schema_extra={"q": "eq"})
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entity_type: str | None = Field(default=None, description="实体类型(业务表名)", json_schema_extra={"q": "like"})
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entity_id: int | None = Field(default=None, description="实体ID", json_schema_extra={"q": "eq"})
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status: str | None = Field(default=None, description="状态(open/resolved)", json_schema_extra={"q": "eq"})
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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)")
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