Schema 与选项

descriptor 描述各字段的校验规则，构造 new Schema(descriptor, options?) 后即可校验数据对象。

常用字段规则

• type: string、number、boolean、method、regexp、integer、float、array、object、enum、date、url、hex、email、pattern、any
• required: 是否必填；whitespace 控制空白字符串是否视为缺失。
• len / min / max: 限制长度或区间（字符串、数组、数字）。
• enum: 允许值列表；pattern: 正则校验。
• fields: 嵌套对象规则；defaultField: 数组/对象成员的默认规则。
• transform(value): 预处理字段值（可返回新值）。

运行选项

• first: 遇到第一条错误后立即停止。
• firstFields: boolean | string[]，按字段维度停止。
• messages: 深度合并的自定义文案。
• suppressWarning / suppressValidatorError: 静默内部 warning 与 validator 抛错。
• keys: 仅校验指定字段。

示例：字段嵌套与 firstFields

import Schema from 'async-validator-next'

const descriptor = {
  user: {
    type: 'object',
    required: true,
    fields: {
      email: { type: 'email', required: true },
      age: { type: 'number', min: 18 },
    },
  },
  tags: {
    type: 'array',
    defaultField: { type: 'string' },
  },
}

const validator = new Schema(descriptor)

await validator.validate(
  { user: { email: 'bad', age: 12 }, tags: ['ok'] },
  { firstFields: true },
)

firstFields: true 会让 user.email 报出第一条错误后，不再继续检查同一字段的后续规则。*** End Patch"}github Copilot to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions_apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions_apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions_apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch to=functions.apply_patch"}