47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
import re
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from pydantic import BaseModel, ConfigDict, Field, field_validator
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from app.core.base_schema import BaseSchema
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class ParamsBaseSchema(BaseModel):
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"""参数基础字段
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"""
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config_name: str = Field(..., min_length=1, max_length=64, description="参数名称")
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config_key: str = Field(..., min_length=1, max_length=500, description="参数键名（小写字母开头，仅允许字母数字_.-）")
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config_value: str | None = Field(default=None, description="参数键值")
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config_type: bool = Field(default=False, description="是否系统内置(True:是 False:否)")
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status: int = Field(default=0, ge=0, le=1, description="状态(0:正常 1:停用)")
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description: str | None = Field(default=None, max_length=500, description="参数描述")
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@field_validator("config_key")
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@classmethod
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def _validate_config_key(cls, v: str) -> str:
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"""校验参数键名：小写字母开头，仅含字母/数字/_ . -"""
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v = v.strip().lower()
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if not re.match(r"^[a-z][a-z0-9_.-]*$", v):
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raise ValueError("参数键名必须以小写字母开头，仅允许小写字母、数字、_ . -")
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return v
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@field_validator("status")
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@classmethod
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def _validate_status(cls, v: int) -> int:
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"""校验状态：仅支持 0(正常) 或 1(停用)"""
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if v not in {0, 1}:
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raise ValueError("状态仅支持 0(正常) 或 1(停用)")
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return v
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class ParamsUpdateSchema(ParamsBaseSchema):
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"""参数更新模型
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"""
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class ParamsOutSchema(ParamsBaseSchema, BaseSchema):
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"""参数响应模型
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"""
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model_config = ConfigDict(from_attributes=True)
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