Yrel

JavaScript JSON schema validation with TypeScript type inference.

Install

For any ESM and CommonJS JavaScript environment. If TypeScript is used, version 4.5+ is required.

npm i yrel

For UMD version:

import { y, validateYrel } from 'yrel/build/umd/yrel.umd.cjs'

<script src="https://cdn.jsdelivr.net/npm/yrel/build/umd/yrel.umd.cjs" />

<script src="https://unpkg.com/yrel/build/umd/yrel.umd.cjs" />

Basic Usage

import { y, validateYrel } from 'yrel'

const schema = y.object({
  name: y.string().min(2),
  age: y.number().gte(18)
})

const data = {
  name: 'yrel',
  age: 21
}

const validation = validateYrel(schema, data)

console.log(validation.isValid) // true
console.log(validation.data) // { name: 'yrel', age: 21 }
console.log(validation.issues) // []

Type Inference

import { y, type InferYrel } from 'yrel'

const schema = y.object({
  name: y.string().min(2).max(100),
  age: y.number().gte(18).lte(150).optional(),
  pets: y.array(y.string()).min(2).max(10)
})

type Schema = InferYrel<typeof schema>
/*
{
  name: string;
  age?: number | undefined;
  pets: string[]
}
*/

const data = {
  name: 'yrel',
  age: 21,
  pets: ['dog', 'cat']
} satisfies Schema

Optional and Nullable

All schemas can be optional and/or nullable.

const schema = y.string().optional()
type Schema = InferYrel<typeof schema> // string | undefined

const schema = y.number().nullable()
type Schema = InferYrel<typeof schema> // number | null

const schema = y.object({
  name: y.string().optional(),
  age: y.number().nullable(),
  is_married: y.boolean().optional().nullable()
})
type Schema = InferYrel<typeof schema>
/*
{
  name?: string | undefined
  age: number | null
  is_married?: boolean | undefined | null
}
*/

The methods should be called at the end of schema definition.

Preprocessors

All schemas can be pre-processed before validation. After checking a value is not optional nor nullable, a schema can be pre-processed to change its value or anything required.

const schema = y.string().preprocess((data) => String(data))
validateYrel(schema, 100) // { isValid: true, data: '100' }

Defaults

All schemas can have a default value if the received data is undefined.

const schema = y.string().defaultsTo('cat')
validateYrel(schema, undefined) // { isValid: true, data: 'cat' }
validateYrel(schema, 'dog') // { isValid: true, data: 'dog' }

It can not be used with optional schemas since it will mark it as valid and ignore the default value.

Coercers

After checking a value is not optional nor nullable, and running all defined pre-processors, some schemas can be coerced to their data types.

const schema = y.string().coerce()
validateYrel(schema, 100) // { isValid: true, data: '100' }

See API for more details.

Transformers

All schemas data can be transformed. When a schema is valid, the schema data can be transformed to a new value of the same type.

const schema = y.string().transform((data) => data.toLowerCase())
validateYrel(schema, 'ABC') // { isValid: true, data: 'abc' }

The transformed data may not be valid since validations were ran before transformation. e.g. A schema validator for a number greater than 10 is configured and the transformation sets the data to 5, then the data type may be still valid but it is actually invalid and reported as valid.

const schema = y
  .number()
  .gt(10)
  .transform(() => 5)
validateYrel(schema, 20) // { isValid: true, data: 5 }
// It should be invalid since 5 is not greater than 10, as configured.

Error Handling

Yrel provides a set of validators with predefined error codes for the error report.

const schema = y.object({
  name: y.string().min(2),
  age: y.number().gte(18)
})

const validation = validateYrel(schema, {
  name: true,
  age: 12
})

console.log(validation.isValid) // false
console.log(validation.data) // undefined
console.log(validation.issues)
/*
[
  {
    "key": "name",
    "errors": [
      ["err_string"]
    ]
  },
  {
    "key": "age",
    "errors": [
      ["err_number_gte", { "gte": 18 }]
    ]
  }
]
*/

The report error key is a string with the path to the schema which reported the error joined by dots. For arrays and tuples, the item index is used.

const schema = y.object({
  users: y.array(
    y.object({
      name: y.string(),
      pets: y.array(y.string())
    })
  )
})
const validation = validateYrel(schema, {
  users: [
    { name: 'a', pets: [] },
    { name: 'b', pets: ['cat', 100, 'dog', true] }
  ]
})

console.log(validation.issues)
/*
[
  {
    "key": "users.1.pets.1",
    "errors": [
      ["err_string"]
    ]
  },
  {
    "key": "users.1.pets.3",
    "errors": [
      ["err_string"]
    ]
  }
]
*/

If the error is in the root schema, the key is an empty string.

const schema = y.string()
const validation = validateYrel(schema, 100)

console.log(validation.issues)
/*
[
  {
    "key": "",
    "errors": [
      ["err_string"]
    ]
  }
]
*/

A custom root key can be configured too with validateYrel(schema, data, { rootKey: 'root' }).

Custom Validators

All schemas support the .validate(data => YrelValidation) method to add custom validators. They must return either true or a list of errors. Every error is tuple with the predefined error code and the according parameters if applicable.

Validators libraries such as validator can be used for more custom validations.

import { y, validateYrel, type YrelValidation } from 'yrel'
import isEmail from 'validator/lib/isEmail'

const validateEmail = (value: string): YrelValidation =>
  isEmail(String(value)) || [['err_string_email']]

const schema = y.object({
  name: y.string().min(2),
  age: y.number().gte(18),
  email: y.string().validate(validateEmail)
})

const validation = validateYrel(schema, {
  name: 'yrel',
  age: 18,
  email: 'yrel@example'
})

console.log(validation.isValid) // false
console.log(validation.issues)
/*
[
  {
    "key": "email",
    "errors": [
      ["err_string_email"]
    ]
  }
]
*/

Yrel comes with a predefined list of error codes with possible extra parameters for the error report. The following is a list of them. If the type to the right is undefined it says that it does not require parameters. Otherwise, it defines the parameters types.

err_unknown: undefined
err_boolean: undefined
err_boolean_truthy: undefined
err_number: undefined
err_number_gt: [{ gt: number }]
err_number_gte: [{ gte: number }]
err_number_lt: [{ lt: number }]
err_number_lte: [{ lte: number }]
err_number_integer: undefined
err_number_currency: undefined
err_string: undefined
err_string_nonempty: undefined
err_string_trim: undefined
err_string_length: [{ length: number }]
err_string_min: [{ min: number }]
err_string_max: [{ max: number }]
err_string_date_time: undefined
err_string_date: undefined
err_string_time: undefined
err_string_lowercase: undefined
err_string_uppercase: undefined
err_string_capitalcase: [{ lower: boolean }]
err_string_email: undefined
err_string_credit_card: undefined
err_string_url: undefined
err_string_uuid: undefined
err_literal: [{ literal: boolean | number | string }]
err_array: undefined
err_array_nonempty: undefined
err_array_length: [{ length: number }]
err_array_min: [{ min: number }]
err_array_max: [{ max: number }]
err_union: undefined
err_tuple: undefined
err_object: undefined
err_object_unexpected_props: [{ props: string[] }]
err_record: undefined
err_record_keys: [{ keys: string[] }]

One error with parameters can be the err_number_gte which requires the parameter gte: number, so the report may be ['err_number_gte', { gte: 18 }].

Custom Error Reports

Validators can return custom error reports. They need to be expressed as a tuple ['err_custom', string, object?].

import { y, validateYrel, type YrelValidation } from 'yrel'

// Check that the string has the format "xxx-xxx".
const validateUserId = (value: string): YrelValidation =>
  /^\w{3,3}-\w{3,3}$/.test(value) || [['err_custom', 'my_custom_error_invalid_user_id']]

const schema = y.object({
  id: y.string().validate(validateUserId),
  name: y.string().min(2),
  age: y.number().gte(18),
  pets: y.array(
    y.union([y.literal('dog'), y.literal('cat'), y.literal('parrot')], {
      errors: [['err_custom', 'my_custom_error_invalid_pet']]
    })
  )
})

const validation = validateYrel(schema, {
  id: 'abc-d',
  name: 'yrel',
  age: 18,
  pets: ['cat', 'monkey', 'dog', 'fish']
})

console.log(validation.isValid) // false
console.log(validation.issues)
/*
[
  {
    "key": "id",
    "errors": [
      ["err_custom", "my_custom_error_invalid_user_id"]
    ]
  },
  {
    "key": "pets.1",
    "errors": [
      ["err_custom", "my_custom_error_invalid_pet"]
    ]
  },
  {
    "key": "pets.3",
    "errors": [
      ["err_custom", "my_custom_error_invalid_pet"]
    ]
  }
]
*/

If custom errors need to be reported for children elements, such as properties of an object, the utility reportYrel can be used.

import { y, validateYrel, reportYrel } from 'yrel'

const schema = y
  .object({
    name: y.string(),
    password: y.string(),
    passwordConfirmation: y.string()
  })
  .validate(
    (value) =>
      value.password === value.passwordConfirmation ||
      reportYrel({
        children: [
          { key: 'password', errors: [['err_custom', 'passwords_dont_match']] },
          { key: 'passwordConfirmation', errors: [['err_custom', 'passwords_dont_match']] }
        ]
      })
  )

const validation = validateYrel(schema, {
  name: 'a',
  password: 'x',
  passwordConfirmation: 'y'
})

console.log(validation.isValid) // false
console.log(validation.issues)
/*
[
  {
    "key": "password",
    "errors": [
      ["err_custom", "passwords_dont_match"]
    ]
  },
  {
    "key": "passwordConfirmation",
    "errors": [
      ["err_custom", "passwords_dont_match"]
    ]
  }
]
*/

reportYrel can also accept errors as first parameter property for the same schema error report.

Error Translations

Yrel reports the validation issues with only the error codes with their respective parameters.

A example validation use case can be:

import { y, validateYrel } from 'yrel'

const schema = y.object({
  name: y.string().min(2).max(10),
  age: y.number().gte(0).lte(100),
  married: y.boolean().optional(),
  sex: y
    .union(
      [y.literal('female'), y.literal('male')],
      { errors: [['err_custom', 'err_custom_sex']] } // Custom error report.
    )
    .optional(),
  pets: y.array(y.string().nonempty().max(10)).max(3).nullable()
})

const data = {
  name: 'y',
  age: -1,
  married: 10,
  sex: 'unicorn',
  pets: [true, 'unknown species']
}

const validation = validateYrel(schema, data)

Since the data is invalid, the following issues are reported:

[
  {
    "key": "name",
    "errors": [["err_string_min", { "min": 2 }]]
  },
  {
    "key": "age",
    "errors": [["err_number_gte", { "gte": 0 }]]
  },
  {
    "key": "married",
    "errors": [["err_boolean"]]
  },
  {
    "key": "sex",
    "errors": [["err_custom", "err_custom_sex"]]
  },
  {
    "key": "pets.0",
    "errors": [["err_string"]]
  },
  {
    "key": "pets.1",
    "errors": [["err_string_max", { "max": 10 }]]
  }
]

If they need to be presented to the end user, a tool like Ukti can be used to translate them. Then each issue can be mapped to their respective translation:

import { type YrelErrorTranslations } from 'yrel'
import { createUktiTranslator, type UktiTranslations } from 'ukti'

// For custom error reports.
type ErrorCustomTranslations = {
  err_custom_sex: undefined
}

const translations: UktiTranslations<YrelErrorTranslations & ErrorCustomTranslations> = {
  en: {
    err_boolean: 'This field should be a boolean.',
    err_number: 'A valid number is required.',
    err_number_gt: 'This number should be greater than {{gt}}.',
    err_number_gte: 'This number should be at least {{gte}}.',
    err_number_lt: 'This number should be less than {{lt}}.',
    err_number_lte: 'This number should be at most {{lte}}.',
    err_string: 'This text field is required.',
    err_string_min: 'The field should have at least {{min}} character{{min === 1 ? "" : "s"}}.',
    err_string_max: 'The field should have at most {{max}} character{{max === 1 ? "" : "s"}}.',
    // ...
    err_custom_sex: 'Invalid sex.'
  }
}

const translator = createUktiTranslator<YrelErrorTranslations & ErrorCustomTranslations>({
  translations
})
const translate = translator('en')

// Using the previous Yrel schema validation result:
if (!validation.isValid) {
  validation.issues.forEach((issue) => {
    issue.errors.forEach((err) => {
      // Type-safety is not enforced here but should be enforced when creating
      // the translation definition, since this snippet is mostly going to be used
      // by libraries or app utilities once.
      const errorMessage =
        err[0] === 'err_custom'
          ? (translate[err[1] as keyof ErrorCustomTranslations] as any)(err[2])
          : (translate[err[0]] as any)(err[1])
      console.log(`${issue.key}:`, errorMessage)
    })
  })
}

// Logs:
// 'name: The field should have at least 2 characters.'
// 'age: This number should be at least 0.'
// 'married: This field should be a boolean.'
// 'sex: Invalid sex.'
// 'pets.0: This text field is required.'
// 'pets.1: The field should have at most 10 characters.'

See Ukti for more details on translations.

Custom Schemas

Schemas with custom data types can be created with the general schema .any<type>().

const schema = y
  .any<'cat' | 'dog'>()
  .validate((data) => data === 'cat' || data === 'dog' || [['err_custom', 'not_a_pet']])

type Schema = InferYrel<typeof schema> // 'cat' | 'dog'

validateYrel(schema, 'cat') // { isValid: true }
validateYrel(schema, 'dolphin') // { isValid: false }

Schema Detection

import { y, isYrel } from 'yrel'

const fakeSchema = {}
const validSchema = y.string()

console.log(isYrel(fakeSchema)) // false
console.log(isYrel(validSchema)) // true

API

`y.any<Data = any>(): YrelSchemaAny<Data>`

Any kind of value.

const schema = y.any() // any

`y.boolean(): YrelSchemaBoolean`

Boolean values.

const schema = y.boolean() // boolean

`.coerce()`

Force the data input value to Boolean(input) before validation.

const schema = y.boolean().coerce()
validateYrel(schema, 0) // { isValid: true, data: false }
validateYrel(schema, '') // { isValid: true, data: false }
validateYrel(schema, 100) // { isValid: true, data: true }
validateYrel(schema, 'abc') // { isValid: true, data: true }
validateYrel(schema, {}) // { isValid: true, data: true }

`.truthy()`

Only true values.

`y.number(): YrelSchemaNumber`

Numeric and finite numbers.

const schema = y.number() // number

`.coerce()`

Force the data input value to Number(input) before validation. Date objects are coerced with .getTime().

const schema = y.number().coerce()
validateYrel(schema, true) // { isValid: true, data: 1 }
validateYrel(schema, '100') // { isValid: true, data: 100 }
validateYrel(schema, new Date()) // { isValid: true, data: 1695336434720 }

`.gt(value: number)`

A number greater than the defined value.

`.gte(value: number)`

A number greater than or equal to the defined value.

`.lt(value: number)`

A number less than the defined value.

`.lte(value: number)`

A number less than or equal to the defined value.

`.integer()`

A safe integer number.

`y.string(): YrelSchemaString`

A string value.

const schema = y.string() // string

To validate an optional non-empty string validation, it can be done like this:

const schema = y.union([y.string().date(), y.literal('')])
validateYrel(schema, '2000-10-10') // valid
validateYrel(schema, '') // valid

`.coerce()`

Force the data input value to String(input) before validation. Date objects are coerced with .toISOString().

const schema = y.string().coerce()
validateYrel(schema, true) // { isValid: true, data: 'true' }
validateYrel(schema, 100) // { isValid: true, data: '100' }
validateYrel(schema, new Date()) // { isValid: true, data: '2023-09-21T22:46:09.059Z' }

`.nonempty()`

Non empty string.

`.trim()`

A string without spaces at the beginning or end.

`.length(value: number)`

A string with specified length.

`.min(value: number)`

A string with at least the specified length.

`.max(value: number)`

A string with at most the specified length.

`.datetime(value: number)`

A valid datetime string in ISO 8601 format. e.g.:

'2050-10-25T14:45:30Z'
'2050-10-25T14:45:30.3Z'
'2050-10-25T14:45:30.37Z'
'2050-10-25T14:45:30.370Z'

`.date(value: number)`

A valid date string fragment of the ISO 8601 format. e.g. 2050-10-25.

`.time(value: number)`

A valid time string fragment of the ISO 8601 format. e.g.:

'14:45:30'
'14:45:30.3'
'14:45:30.37'
'14:45:30.370'

`.lowercase()`

A string in lowercase.

`.uppercase()`

A string in uppercase.

`.capitalcase(conf?: { lower?: boolean })`

A string in capital case. By default, it allows any uppercase characters such as Abc Def or ABc DEF. If .capitalcase({ lower: true }) is defined, it will only accept lowercase chactaters for non-first word letters such as Abc Def.

`y.literal(value: boolean | number | string): YrelSchemaLiteral`

A literal primitive value.

const schema = y.literal('cat') // 'cat'

`y.array(schema: YrelSchema)`

An array of the specified schema.

const schema = y.array(y.string()) // string[]

`.nonempty()`

Non empty arrays.

`.length(value: number)`

An array of the specified length.

`.min(value: number)`

An array of at least the specified length.

`.max(value: number)`

An array of at most the specified length.

`y.union(schemas: [YrelSchema, YrelSchema, ...YrelSchema[]]): YrelSchemaUnion`

A value that matches one of the specified schemas.

const schema = y.union([y.number(), y.literal('cat'), y.literal('dog'), y.literal('parrot')])
// number | 'cat' | 'dog' | 'parrot'

For dynamically created union of literals, the dynamic types can be set like:

import { type YrelSchemaLiteral } from 'yrel'

type Languages = 'en' | 'es' | 'fr' | 'hi' | 'zh'
const languages: Languages[] = ['en', 'es', 'fr', 'hi', 'zh']

const schema = y.union<[YrelSchemaLiteral<Languages>, YrelSchemaLiteral<Languages>]>(
  languages.map((lang) => y.literal(lang)) as [
    YrelSchemaLiteral<Languages>,
    YrelSchemaLiteral<Languages>
  ]
)
type Schema = InferYrel<typeof schema> // 'en' | 'es' | 'fr' | 'hi' | 'zh'

Or using a custom type with y.any<type>().

`y.tuple(schemas: [YrelSchema, ...YrelSchema[]]): YrelSchemaTuple`

An array with fixed number of elements and each of them with a specific data schema.

const schema = y.tuple([y.number(), y.string(), y.boolean().optional()])
// [number, string, boolean | undefined]

`y.object(shape: Record<string, YrelSchema>): YrelSchemaObject`

A plain object and each property with the specified data schema.

const schema = y.object({
  name: y.string(),
  age: y.number()
})
// { name: string; age: number; }

`.shape`

The object shape structure.

`.passthrough()`

By default the object data schema will report an error if the validated object contains unexpected properties which are not defined in the schema shape. This will allow such properties.

`y.record(key: YrelSchemaString, value: YrelSchema): YrelSchemaRecord`

A plain object with a not specified number of properties. All object keys have to be string with y.string().

const schema = y.record(y.string(), y.number())
// { [key: string]: number }

To validate the record key:

const schema = y.record(y.string().date(), y.boolean())
// { [name: string]: boolean }

validateYrel(schema, { '2000': true, '2001': false }) // invalid
validateYrel(schema, { '2000-10-10': true, '2000-10-11': false }) // valid

Logo

The Yrel logo is an illustration of the character Yrel in the game World of Warcraft from the awesome illustrator @KuridelBlack. Check out her work at linktr.ee/kuridelblack.

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romelperez/yrel

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Yrel

Install

Basic Usage

Type Inference

Optional and Nullable

Preprocessors

Defaults

Coercers

Transformers

Error Handling

Custom Validators

Custom Error Reports

Error Translations

Custom Schemas

Schema Detection

API

y.any<Data = any>(): YrelSchemaAny<Data>

y.boolean(): YrelSchemaBoolean

.coerce()

.truthy()

y.number(): YrelSchemaNumber

.coerce()

.gt(value: number)

.gte(value: number)

.lt(value: number)

.lte(value: number)

.integer()

y.string(): YrelSchemaString

.coerce()

.nonempty()

.trim()

.length(value: number)

.min(value: number)

.max(value: number)

.datetime(value: number)

.date(value: number)

.time(value: number)

.lowercase()

.uppercase()

.capitalcase(conf?: { lower?: boolean })

y.literal(value: boolean | number | string): YrelSchemaLiteral

y.array(schema: YrelSchema)

.nonempty()

.length(value: number)

.min(value: number)

.max(value: number)

y.union(schemas: [YrelSchema, YrelSchema, ...YrelSchema[]]): YrelSchemaUnion

y.tuple(schemas: [YrelSchema, ...YrelSchema[]]): YrelSchemaTuple

y.object(shape: Record<string, YrelSchema>): YrelSchemaObject

.shape

.passthrough()

y.record(key: YrelSchemaString, value: YrelSchema): YrelSchemaRecord

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Languages

`y.any<Data = any>(): YrelSchemaAny<Data>`

`y.boolean(): YrelSchemaBoolean`

`.coerce()`

`.truthy()`

`y.number(): YrelSchemaNumber`

`.coerce()`

`.gt(value: number)`

`.gte(value: number)`

`.lt(value: number)`

`.lte(value: number)`

`.integer()`

`y.string(): YrelSchemaString`

`.coerce()`

`.nonempty()`

`.trim()`

`.length(value: number)`

`.min(value: number)`

`.max(value: number)`

`.datetime(value: number)`

`.date(value: number)`

`.time(value: number)`

`.lowercase()`

`.uppercase()`

`.capitalcase(conf?: { lower?: boolean })`

`y.literal(value: boolean | number | string): YrelSchemaLiteral`

`y.array(schema: YrelSchema)`

`.nonempty()`

`.length(value: number)`

`.min(value: number)`

`.max(value: number)`

`y.union(schemas: [YrelSchema, YrelSchema, ...YrelSchema[]]): YrelSchemaUnion`

`y.tuple(schemas: [YrelSchema, ...YrelSchema[]]): YrelSchemaTuple`

`y.object(shape: Record<string, YrelSchema>): YrelSchemaObject`

`.shape`

`.passthrough()`

`y.record(key: YrelSchemaString, value: YrelSchema): YrelSchemaRecord`