mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
synced 2026-10-04 17:14:21 +00:00
zhangtao
646cbd6e60
feat(backend): 添加数据库表创建和删除工具函数 fix(backend): 修复日志输出和Redis连接提示信息 style(frontend): 调整导航栏头像大小 perf(backend): 优化系统配置和字典数据缓存逻辑 chore(backend): 更新模板文件路径配置
102 lines
4.1 KiB
Python
102 lines
4.1 KiB
Python
# -*- coding: utf-8 -*-
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from datetime import date, time, datetime
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from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
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from fastapi import Query
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from app.core.base_schema import BaseSchema, UserBySchema
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from app.core.validator import DateTimeStr, DateStr, TimeStr
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class DemoCreateSchema(BaseModel):
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"""新增模型"""
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name: str = Field(..., description='名称')
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status: str = Field(default="0", description="是否启用(0:启用 1:禁用)")
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description: str | None = Field(default=None, description="描述")
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a: int | None = Field(default=None, description="整数")
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b: int | None = Field(default=None, description="大整数")
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c: float | None = Field(default=None, description="浮点数")
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d: bool = Field(default=True, description="布尔型")
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e: date | None = Field(default=None, description="日期")
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f: time | None = Field(default=None, description="时间")
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g: datetime | None = Field(default=None, description="日期时间")
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h: str | None = Field(default=None, description="长文本")
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i: dict | None = Field(default=None, description="元数据(JSON格式)")
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@field_validator('name')
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@classmethod
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def validate_name(cls, v: str) -> str:
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"""验证名称字段的格式和内容"""
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# 去除首尾空格
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v = v.strip()
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if not v:
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raise ValueError('名称不能为空')
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return v
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@model_validator(mode='after')
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def _after_validation(self):
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"""
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核心业务规则校验
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"""
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# 长度校验：名称最小长度
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if len(self.name) < 2 or len(self.name) > 50:
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raise ValueError('名称长度必须在2-50个字符之间')
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# 格式校验：名称只能包含字母、数字、下划线和中划线
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if not self.name.isalnum() and not all(c in '-_' for c in self.name):
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raise ValueError('名称只能包含字母、数字、下划线和中划线')
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if self.status not in ["0", "1"]:
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raise ValueError('是否启用必须为0或1')
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# 描述校验：描述最大长度
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if self.description and len(self.description) > 255:
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raise ValueError('描述长度不能超过255个字符')
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return self
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class DemoUpdateSchema(DemoCreateSchema):
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"""更新模型"""
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...
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class DemoOutSchema(DemoCreateSchema, BaseSchema, UserBySchema):
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"""响应模型"""
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model_config = ConfigDict(from_attributes=True)
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# 覆盖日期时间字段，使用可序列化的类型
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e: DateStr | None = Field(default=None, description="日期")
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f: TimeStr | None = Field(default=None, description="时间")
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g: DateTimeStr | None = Field(default=None, description="日期时间")
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class DemoQueryParam:
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"""示例查询参数"""
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def __init__(
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self,
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name: str | None = Query(None, description="名称"),
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description: str | None = Query(None, description="描述"),
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status: str | None = Query(None, description="是否启用"),
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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"]),
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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"]),
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created_id: int | None = Query(None, description="创建人"),
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updated_id: int | None = Query(None, description="更新人")
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) -> None:
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# 模糊查询字段
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self.name = ("like", name)
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if description:
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self.description = ("like", description)
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# 精确查询字段
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if status:
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self.status = ("eq", status)
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# 时间范围查询
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if created_time and len(created_time) == 2:
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self.created_time = ("between", (created_time[0], created_time[1]))
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if updated_time and len(updated_time) == 2:
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self.updated_time = ("between", (updated_time[0], updated_time[1]))
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# 关联查询字段
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if created_id:
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self.created_id = ("eq", created_id)
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if updated_id:
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self.updated_id = ("eq", updated_id)
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