mirror of
https://github.com/fastapiadmin/FastapiAdmin.git
synced 2026-09-22 05:02:57 +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
77 lines
3.0 KiB
Python
77 lines
3.0 KiB
Python
from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
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from pydantic.alias_generators import to_camel
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from typing import Optional
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class ImportFieldModel(BaseModel):
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model_config = ConfigDict(alias_generator=to_camel, from_attributes=True)
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base_column: Optional[str] = Field(description='数据库字段名')
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excel_column: Optional[str] = Field(description='excel字段名', default=None)
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default_value: Optional[str] = Field(description='默认值', default=None)
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is_required: Optional[str] = Field(description='是否必传')
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selected: Optional[bool] = Field(description='是否勾选')
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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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if isinstance(data, dict):
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for key in ('base_column', 'excel_column', 'default_value'):
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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 val == '':
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val = None
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data[key] = val
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# is_required 兼容转换
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val = data.get('is_required')
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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['is_required'] = True
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elif lowered in {'false', '0', 'n', 'no'}:
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data['is_required'] = False
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return data
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@model_validator(mode='after')
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def _validate(self):
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if self.selected and not (self.base_column and self.base_column.strip()):
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raise ValueError('选中字段必须提供数据库字段名')
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if self.is_required and not (self.excel_column and self.excel_column.strip()):
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raise ValueError('必传字段必须提供excel字段名')
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return self
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class ImportModel(BaseModel):
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model_config = ConfigDict(alias_generator=to_camel, from_attributes=True)
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table_name: Optional[str] = Field(description='表名')
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sheet_name: Optional[str] = Field(description='Sheet名')
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filed_info: Optional[list[ImportFieldModel]] = Field(description='字段关联表')
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file_name: Optional[str] = Field(description='文件名')
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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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if isinstance(data, dict):
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for key in ('table_name', 'sheet_name', 'file_name'):
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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 val == '':
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val = None
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data[key] = val
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return data
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@model_validator(mode='after')
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def _validate(self):
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# excel_column 不重复（忽略 None）
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if self.filed_info:
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seen = set()
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for f in self.filed_info:
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if f.excel_column:
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key = f.excel_column.strip()
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if key in seen:
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raise ValueError('excel字段名存在重复')
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seen.add(key)
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return self
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