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- # -*- coding: utf-8 -*-
- from pydantic import BaseModel, ConfigDict, Field, field_validator
- from fastapi import Query
- from app.core.validator import DateTimeStr
- from app.core.base_schema import BaseSchema
- class ParamsCreateSchema(BaseModel):
- """配置创建模型"""
- config_name: str = Field(..., max_length=64, description="参数名称")
- config_key: str = Field(..., max_length=500, description="参数键名")
- config_value: str | None = Field(default=None, description="参数键值")
- config_type: bool = Field(default=False, description="系统内置(True:是 False:否)")
- status: str = Field(default="0", description="状态(True:正常 False:停用)")
- description: str | None = Field(default=None, max_length=500, description="描述")
- @field_validator('config_key')
- @classmethod
- def _validate_config_key(cls, v: str) -> str:
- v = v.strip().lower()
- import re
- if not re.match(r'^[a-z][a-z0-9_.-]*$', v):
- raise ValueError('参数键名必须以小写字母开头，仅包含小写字母/数字/_.-')
- return v
- class ParamsUpdateSchema(ParamsCreateSchema):
- """配置更新模型"""
- ...
- class ParamsOutSchema(ParamsCreateSchema, BaseSchema):
- """配置响应模型"""
- model_config = ConfigDict(from_attributes=True)
- class ParamsQueryParam:
- """配置管理查询参数"""
- def __init__(
- self,
- config_name: str | None = Query(None, description="配置名称"),
- config_key: str | None = Query(None, description="配置键名"),
- config_type: bool | None = Query(None, description="系统内置((True:是 False:否))"),
- created_time: list[DateTimeStr] | None = Query(None, description="创建时间范围", examples=["2025-01-01 00:00:00", "2025-12-31 23:59:59"]),
- updated_time: list[DateTimeStr] | None = Query(None, description="更新时间范围", examples=["2025-01-01 00:00:00", "2025-12-31 23:59:59"]),
- ) -> None:
- # 模糊查询字段
- self.config_name = ("like", config_name)
- self.config_key = ("like", config_key)
- # 精确查询字段
- self.config_type = config_type
- # 时间范围查询
- if created_time and len(created_time) == 2:
- self.created_time = ("between", (created_time[0], created_time[1]))
- if updated_time and len(updated_time) == 2:
- self.updated_time = ("between", (updated_time[0], updated_time[1]))
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