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- from dataclasses import dataclass
- from fastapi import Query
- from pydantic import (
- BaseModel,
- ConfigDict,
- Field,
- field_validator,
- model_validator,
- )
- from app.common.enums import QueueEnum
- from app.core.base_schema import BaseSchema, UserBySchema
- from app.core.validator import DateStr, DateTimeStr, TimeStr
- class DemoCreateSchema(BaseModel):
- """新增模型"""
- name: str = Field(..., description="名称")
- status: str = Field(default="0", description="是否启用(0:启用 1:禁用)")
- description: str | None = Field(default=None, description="描述")
- a: int | None = Field(default=None, description="整数")
- b: int | None = Field(default=None, description="大整数")
- c: float | None = Field(default=None, description="浮点数")
- d: bool = Field(default=True, description="布尔型")
- e: DateStr | None = Field(default=None, description="日期")
- f: TimeStr | None = Field(default=None, description="时间")
- g: DateTimeStr | None = Field(default=None, description="日期时间")
- h: str | None = Field(default=None, description="长文本")
- i: dict | None = Field(default=None, description="元数据(JSON格式)")
- @field_validator("name")
- @classmethod
- def validate_name(cls, v: str) -> str:
- """
- 验证名称字段的格式和内容。
- 参数:
- - v (str): 原始名称。
- 返回:
- - str: 去空白后的名称。
- 异常:
- - ValueError: 名称为空时抛出。
- """
- # 去除首尾空格
- v = v.strip()
- if not v:
- raise ValueError("名称不能为空")
- return v
- @model_validator(mode="after")
- def _after_validation(self):
- """
- 核心业务规则校验
- """
- # 长度校验:名称最小长度
- if len(self.name) < 2 or len(self.name) > 50:
- raise ValueError("名称长度必须在2-50个字符之间")
- # 格式校验:名称只能包含字母、数字、下划线和中划线
- if not self.name.isalnum() and not all(c in "-_" for c in self.name):
- raise ValueError("名称只能包含字母、数字、下划线和中划线")
- if self.status not in ["0", "1"]:
- raise ValueError("是否启用必须为0或1")
- # 描述校验:描述最大长度
- if self.description and len(self.description) > 255:
- raise ValueError("描述长度不能超过255个字符")
- return self
- class DemoUpdateSchema(DemoCreateSchema):
- """更新模型"""
- class DemoOutSchema(DemoCreateSchema, BaseSchema, UserBySchema):
- """响应模型"""
- model_config = ConfigDict(from_attributes=True)
- @dataclass
- class DemoQueryParam:
- """示例查询参数"""
- def __init__(
- self,
- name: str | None = Query(None, description="名称"),
- description: str | None = Query(None, description="描述"),
- status: str | None = Query(None, description="是否启用"),
- 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"],
- ),
- created_id: int | None = Query(None, description="创建人"),
- updated_id: int | None = Query(None, description="更新人"),
- ) -> None:
- # 模糊查询字段
- self.name = (QueueEnum.like.value, name)
- if description:
- self.description = (QueueEnum.like.value, description)
- # 精确查询字段
- if status:
- self.status = (QueueEnum.eq.value, status)
- # 时间范围查询
- if created_time and len(created_time) == 2:
- self.created_time = (QueueEnum.between.value, (created_time[0], created_time[1]))
- if updated_time and len(updated_time) == 2:
- self.updated_time = (QueueEnum.between.value, (updated_time[0], updated_time[1]))
- # 关联查询字段
- if created_id:
- self.created_id = (QueueEnum.eq.value, created_id)
- if updated_id:
- self.updated_id = (QueueEnum.eq.value, updated_id)
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