🚀 Socket Launch Week Day 5:Introducing Repository Access Permissions and Custom Roles.Learn more
Sign In

@fluojs/validation

Package Overview
Dependencies
Maintainers
1
Versions
10
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

@fluojs/validation

Input-side validation decorators, mapped DTO helpers, and validation engine for Fluo.

Source
npmnpm
Version
1.0.4
Version published
Weekly downloads
67
-80.86%
Maintainers
1
Weekly downloads
 
Created
Source

@fluojs/validation

English 한국어

Input-side validation decorators, mapped DTO helpers, and the validation engine for fluo.

Table of Contents

Installation

pnpm add @fluojs/validation

When to Use

  • when raw request payloads need to become validated DTO instances before reaching business logic
  • when you want class-based validation rules instead of ad hoc parsing in controllers and services
  • when you need metadata-preserving mapped DTO helpers such as PickType, PartialType, and IntersectionType
  • when you want to attach Standard Schema validators such as Zod or Valibot through @ValidateClass(...)
  • when you want stable validation issue codes and paths that can be localized explicitly through @fluojs/i18n/validation

Quick Start

import { DefaultValidator, DtoValidationError, IsEmail, IsString, MinLength } from '@fluojs/validation';

class CreateUserDto {
  @IsEmail()
  email = '';

  @IsString()
  @MinLength(2)
  name = '';
}

const validator = new DefaultValidator();

try {
  const dto = await validator.materialize(
    { email: 'hello@example.com', name: 'fluo' },
    CreateUserDto,
  );

  console.log(dto instanceof CreateUserDto);
} catch (error) {
  if (error instanceof DtoValidationError) {
    console.log(error.issues);
  }
}

Common Patterns

materialize() vs validate()

  • materialize(value, Target) builds a typed instance and validates it recursively
  • validate(instance, Target) validates an already-created root value and may temporarily materialize plain nested @ValidateNested(...) values to run their nested DTO rules without replacing the caller's properties

validate() rejects malformed roots such as strings, arrays, null, and undefined with a deterministic DtoValidationError before field or class rules run. It accepts already-created target DTO instances and plain root objects so request-pipeline binders can validate their prepared DTO payloads without scalar coercion.

materialize() copies safe own enumerable properties from plain input objects, applies DTO binding metadata, and recursively hydrates @ValidateNested(...) fields. It preserves the request-pipeline contract that transports or binders own source selection and scalar conversion before validation runs. Existing nested values that are already instances of the declared nested DTO are preserved; plain nested values are hydrated only for the affected nested field or collection entry. The root value passed to materialize() must already be a plain object or an instance of the target DTO; malformed roots such as strings, arrays, and null are rejected before the target DTO constructor or field initializers run.

Validation issue shape

DtoValidationError.issues is a stable DTO for request-pipeline error details:

type ValidationIssue = {
  code: string;
  field?: string;
  message: string;
  source?: 'path' | 'query' | 'header' | 'cookie' | 'body';
};

Nested DTOs use dot paths and collection indexes, such as address.city or items[0].name. HTTP bindings attach source when the rule came from request metadata; standalone validation and Standard Schema issues may leave it unset.

@fluojs/validation always emits its normal human-readable message values. Applications that need localized messages can opt into @fluojs/i18n/validation after validation fails. That integration maps source, field, and code to translation keys without changing validator execution or coupling this package to HTTP locale resolution.

Mapped DTO helpers

import { IsEmail, IsString, PartialType, PickType } from '@fluojs/validation';

class UserDto {
  @IsString() name = '';
  @IsEmail() email = '';
}

class EmailOnlyDto extends PickType(UserDto, ['email']) {}
class UpdateUserDto extends PartialType(UserDto) {}

Mapped DTO helpers preserve field-level validation and binding metadata through the documented subclassing pattern shown above. PickType, OmitType, and PartialType do not carry base class-level validators onto derived DTOs because those validators can depend on fields that were omitted or made optional.

Standard Schema support

Standard Schema adapters are expected to report invalid input through explicit issues. Validation results without issues are treated as successful.

import { ValidateClass } from '@fluojs/validation';
import { z } from 'zod';

const UserSchema = z.object({ age: z.number().min(18) });

@ValidateClass(UserSchema)
class RestrictedUserDto {
  age = 0;
}

ValidateClass(...) also accepts custom class-level validators. Validate(...) attaches custom field-level validators when built-in decorators are not enough, and ValidateIf(...) short-circuits dependent validators when its predicate returns false.

Network validators

@IsIP() validates IPv4 and IPv6 strings by default. Pass @IsIP('4') or @IsIP('6') to restrict a field to one IP version, or pass @IsIP('4_or_6') when you want to state the default "either IPv4 or IPv6" contract explicitly while still using the same runtime behavior as @IsIP().

Nested validation

@ValidateNested(...) supports object fields, arrays, Set, and Map. Nested DTO paths use dot/index notation in validation issues, cycles are detected safely, and shared references are allowed. Pass either a DTO class or a lazy constructor factory such as () => ChildDto or function resolveChildDto() { return ChildDto; } when nested types need deferred resolution.

No implicit scalar coercion

materialize() is intentionally strict. If a transport gives you '42' and your DTO expects number, the transport or binding layer must convert it first. Numeric validators, including @IsLatitude() and @IsLongitude(), validate numeric DTO values without treating numeric strings as already-converted numbers.

Public API

  • Validator engine: DefaultValidator, DtoValidationError, ValidationIssue, Validator
  • Core decorators: IsString, IsNumber, IsBoolean, IsDate, IsArray, IsObject, IsEnum, IsInt, IsDefined, IsOptional, ValidateNested, ValidateIf, Validate, ValidateClass
  • Presence and comparison decorators: IsEmpty, IsNotEmpty, Equals, NotEquals, IsIn, IsNotIn
  • String and network decorators: IsEmail, IsUrl, IsUUID, IsIP, IsAlpha, IsAlphanumeric, IsAscii, IsBase64, IsBooleanString, IsDataURI, IsDateString, IsDecimal, IsFQDN, IsHexColor, IsHexadecimal, IsJSON, IsJWT, IsLocale, IsLowercase, IsMagnetURI, IsMimeType, IsMongoId, IsNumberString, IsPort, IsRFC3339, IsSemVer, IsUppercase, IsISO8601, Matches, Length, MinLength, MaxLength, Contains, NotContains
  • Number, date, geo, and locale decorators: Min, Max, IsPositive, IsNegative, IsDivisibleBy, MinDate, MaxDate, IsLatitude, IsLongitude, IsLatLong, IsISBN, IsISSN, IsMobilePhone, IsPostalCode, IsRgbColor, IsCurrency
  • Array decorators: ArrayContains, ArrayNotContains, ArrayNotEmpty, ArrayMinSize, ArrayMaxSize, ArrayUnique
  • Mapped DTO helpers: PickType, OmitType, PartialType, IntersectionType
  • Mapped DTO subpath: @fluojs/validation/mapped-types
  • Standard Schema contract: StandardSchemaV1Like for typing ValidateClass(...) schemas
  • Validation flow: materialize() for hydration + validation, validate() for validation-only checks
  • @fluojs/http: binds request data, then uses this package to validate it
  • @fluojs/i18n: exposes @fluojs/i18n/validation for opt-in localized validation issue messages
  • @fluojs/serialization: shapes output DTOs on the response side
  • @fluojs/core: provides the metadata primitives used by validation decorators

Example Sources

  • packages/validation/src/validation.test.ts
  • packages/validation/src/mapped-types.test.ts
  • examples/realworld-api/src/users/create-user.dto.ts
  • examples/auth-jwt-passport/src/auth/login.dto.ts

Keywords

fluo

FAQs

Package last updated on 17 May 2026

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts