mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
synced 2026-09-21 04:46:26 +00:00
zhangtao
a1f9475f3a
refactor: 重构后端模型验证逻辑 fix: 修复资源文件路径处理和下载服务 style: 调整前端样式和布局 perf: 优化AI错误处理和提示信息 docs: 更新上传组件提示信息 test: 添加表单提交测试用例 chore: 更新依赖和配置文件
64 lines
2.5 KiB
Python
64 lines
2.5 KiB
Python
# -*- coding: utf-8 -*-
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from typing import Optional
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from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
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from app.core.base_schema import BaseSchema
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class ParamsCreateSchema(BaseModel):
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"""配置创建模型"""
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config_name: str = Field(..., max_length=500, description="参数名称")
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config_key: str = Field(..., max_length=500, description="参数键名")
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config_value: Optional[str] = Field(default=None, description="参数键值")
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config_type: bool = Field(default=False, description="系统内置(True:是 False:否)")
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status: bool = Field(default=True, description="状态(True:正常 False:停用)")
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description: Optional[str] = Field(default=None, max_length=500, description="描述")
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@model_validator(mode='before')
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@classmethod
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def _normalize(cls, data):
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"""前置归一化：字符串去空格、空串转 None、布尔兼容转换，并规范键为小写。"""
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if isinstance(data, dict):
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for key in ('config_name', 'config_key', 'config_value', 'description'):
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val = data.get(key)
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if isinstance(val, str):
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val = val.strip()
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if key in ('config_value', 'description') and val == '':
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val = None
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data[key] = val
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# 规范键为小写
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if isinstance(data.get('config_key'), str):
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data['config_key'] = data['config_key'].lower()
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# 规范布尔
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for bkey in ('config_type', 'status'):
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val = data.get(bkey)
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if isinstance(val, str):
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lowered = val.strip().lower()
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if lowered in {'true', '1', 'y', 'yes'}:
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data[bkey] = True
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elif lowered in {'false', '0', 'n', 'no'}:
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data[bkey] = False
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elif isinstance(val, int):
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data[bkey] = bool(val)
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return data
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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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v = v.strip().lower()
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import re
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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，仅包含小写字母/数字/_.-')
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return v
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class ParamsUpdateSchema(ParamsCreateSchema):
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"""配置更新模型"""
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...
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class ParamsOutSchema(ParamsCreateSchema, BaseSchema):
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"""配置响应模型"""
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model_config = ConfigDict(from_attributes=True)
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