The idea

Blog post: "Typescript and validations at runtime boundaries" by @lorefnon

A value of type Type<A, O, I> (called "runtime type") is the runtime representation of the static type A.

Also a runtime type can

decode inputs of type I (through decode)
encode outputs of type O (through encode)
be used as a custom type guard (through is)

export type mixed = unknown

class Type<A, O = A, I = mixed> {
  readonly _A: A
  readonly _O: O
  readonly _I: I
  constructor(
    /** a unique name for this runtime type */
    readonly name: string,
    /** a custom type guard */
    readonly is: (v: mixed) => v is A,
    /** succeeds if a value of type I can be decoded to a value of type A */
    readonly validate: (input: I, context: Context) => Either<Errors, A>,
    /** converts a value of type A to a value of type O */
    readonly encode: (a: A) => O
  ) {}
  /** a version of `validate` with a default context */
  decode(i: I): Either<Errors, A>
}

Note. The Either type is defined in fp-ts, a library containing implementations of common algebraic types in TypeScript.

Example

A runtime type representing string can be defined as

import * as t from 'io-ts'

// runtime type definition
export class StringType extends t.Type<string> {
  // equivalent to Type<string, string, mixed> as per type parameter defaults
  readonly _tag: 'StringType' = 'StringType'
  constructor() {
    super(
      'string',
      (m): m is string => typeof m === 'string',
      (m, c) => (this.is(m) ? t.success(m) : t.failure(m, c)),
      t.identity
    )
  }
}

// runtime type instance: use this when building other runtime types instances
export const string = new StringType()

A runtime type can be used to validate an object in memory (for example an API payload)

const Person = t.type({
  name: t.string,
  age: t.number
})

// validation succeeded
Person.decode(JSON.parse('{"name":"Giulio","age":43}')) // => Right({name: "Giulio", age: 43})

// validation failed
Person.decode(JSON.parse('{"name":"Giulio"}')) // => Left([...])

TypeScript compatibility

The stable version is tested against TypeScript 3.1.4, but should run with TypeScript 2.7.2+ too

Note. If you are running < [email protected] you have to polyfill unknown.

You can use unknown-ts as a polyfill.

Error reporters

A reporter implements the following interface

interface Reporter<A> {
  report: (validation: Validation<any>) => A
}

This package exports two default reporters

PathReporter: Reporter<Array<string>>
ThrowReporter: Reporter<void>

Example

import { PathReporter } from 'io-ts/lib/PathReporter'
import { ThrowReporter } from 'io-ts/lib/ThrowReporter'

const result = Person.decode({ name: 'Giulio' })

console.log(PathReporter.report(result))
// => ['Invalid value undefined supplied to : { name: string, age: number }/age: number']

ThrowReporter.report(result)
// => throws 'Invalid value undefined supplied to : { name: string, age: number }/age: number'

You can define your own reporter. Errors has the following type

interface ContextEntry {
  readonly key: string
  readonly type: Decoder<any, any>
}
interface Context extends ReadonlyArray<ContextEntry> {}
interface ValidationError {
  readonly value: mixed
  readonly context: Context
}
interface Errors extends Array<ValidationError> {}

Example

import * as t from 'io-ts'

const getPaths = <A>(v: t.Validation<A>): Array<string> => {
  return v.fold(errors => errors.map(error => error.context.map(({ key }) => key).join('.')), () => ['no errors'])
}

const Person = t.type({
  name: t.string,
  age: t.number
})

console.log(getPaths(Person.decode({}))) // => [ '.name', '.age' ]

Community

io-ts-types - A collection of runtime types and combinators for use with io-ts
io-ts-reporters - Error reporters for io-ts
geojson-iots - Runtime types for GeoJSON as defined in rfc7946 made with io-ts
graphql-to-io-ts - Generate typescript and cooresponding io-ts types from a graphql schema

TypeScript integration

Runtime types can be inspected

This library uses TypeScript extensively. Its API is defined in a way which automatically infers types for produced values

Note that the type annotation isn't needed, TypeScript infers the type automatically based on a schema.

Static types can be extracted from runtime types using the TypeOf operator

interface IPerson extends t.TypeOf<typeof Person> {}

// same as
interface IPerson {
  name: string
  age: number
}

Implemented types / combinators

import * as t from 'io-ts'

Type	TypeScript	Runtime type / combinator
null	`null`	`t.null` or `t.nullType`
undefined	`undefined`	`t.undefined`
void	`void`	`t.void` or `t.voidType`
string	`string`	`t.string`
number	`number`	`t.number`
boolean	`boolean`	`t.boolean`
any	`any`	`t.any`
never	`never`	`t.never`
object	`object`	`t.object`
integer	✘	`t.Integer`
array of any	`Array<mixed>`	`t.Array`
array of type	`Array<A>`	`t.array(A)`
dictionary of any	`{ [key: string]: mixed }`	`t.Dictionary`
dictionary of type	`{ [K in A]: B }`	`t.dictionary(A, B)`
function	`Function`	`t.Function`
literal	`'s'`	`t.literal('s')`
partial	`Partial<{ name: string }>`	`t.partial({ name: t.string })`
readonly	`Readonly<T>`	`t.readonly(T)`
readonly array	`ReadonlyArray<number>`	`t.readonlyArray(t.number)`
type alias	`type A = { name: string }`	`t.type({ name: t.string })`
tuple	`[ A, B ]`	`t.tuple([ A, B ])`
union	`A \| B`	`t.union([ A, B ])` or `t.taggedUnion(tag, [ A, B ])`
intersection	`A & B`	`t.intersection([ A, B ])`
keyof	`keyof M`	`t.keyof(M)`
recursive types	see Recursive types	`t.recursion(name, definition)`
refinement	✘	`t.refinement(A, predicate)`
exact types	✘	`t.exact(type)`
strict types (deprecated)	✘	`t.strict({ name: t.string })`

Recursive types

Recursive types can't be inferred by TypeScript so you must provide the static type as a hint

// helper type
interface ICategory {
  name: string
  categories: Array<ICategory>
}

const Category = t.recursion<ICategory>('Category', Category =>
  t.type({
    name: t.string,
    categories: t.array(Category)
  })
)

Mutually recursive types

interface IFoo {
  type: 'Foo'
  b: IBar | undefined
}

interface IBar {
  type: 'Bar'
  a: IFoo | undefined
}

const Foo: t.RecursiveType<t.Type<IFoo>, IFoo> = t.recursion<IFoo>('Foo', _ =>
  t.interface({
    type: t.literal('Foo'),
    b: t.union([Bar, t.undefined])
  })
)

const Bar: t.RecursiveType<t.Type<IBar>, IBar> = t.recursion<IBar>('Bar', _ =>
  t.interface({
    type: t.literal('Bar'),
    a: t.union([Foo, t.undefined])
  })
)

const FooBar = t.taggedUnion('type', [Foo, Bar])

Tagged unions

If you are encoding tagged unions, instead of the general purpose union combinator, you may want to use the taggedUnion combinator in order to get better performances

const A = t.type({
  tag: t.literal('A'),
  foo: t.string
})

const B = t.type({
  tag: t.literal('B'),
  bar: t.number
})

// the actual presence of the tag is statically checked
const U = t.taggedUnion('tag', [A, B])

Refinements

You can refine a type (any type) using the refinement combinator

const Positive = t.refinement(t.number, n => n >= 0, 'Positive')

const Adult = t.refinement(Person, person => person.age >= 18, 'Adult')

Exact types

You can make a runtime type alias exact (which means that only the given properties are allowed) using the exact combinator

const Person = t.type({
  name: t.string,
  age: t.number
})

const ExactPerson = t.exact(Person)

Person.decode({ name: 'Giulio', age: 43, surname: 'Canti' }) // ok
ExactPerson.decode({ name: 'Giulio', age: 43, surname: 'Canti' }) // fails

Strict types (deprecated)

Note. This combinator is deprecated, use exact instead.

You can make a runtime type strict (which means that only the given properties are allowed) using the strict combinator

const Person = t.type({
  name: t.string,
  age: t.number
})

const StrictPerson = t.strict(Person.props)

Person.decode({ name: 'Giulio', age: 43, surname: 'Canti' }) // ok
StrictPerson.decode({ name: 'Giulio', age: 43, surname: 'Canti' }) // fails

Mixing required and optional props

You can mix required and optional props using an intersection

const A = t.type({
  foo: t.string
})

const B = t.partial({
  bar: t.number
})

const C = t.intersection([A, B])

interface CT extends t.TypeOf<typeof C> {}

// same as
type CT = {
  foo: string
  bar?: number
}

You can apply partial to an already defined runtime type via its props field

const Person = t.type({
  name: t.string,
  age: t.number
})

const PartialPerson = t.partial(Person.props)

interface PartialPerson extends t.TypeOf<typeof PartialPerson> {}

// same as
interface PartialPerson {
  name?: string
  age?: number
}

Custom types

You can define your own types. Let's see an example

import * as t from 'io-ts'

// represents a Date from an ISO string
const DateFromString = new t.Type<Date, string>(
  'DateFromString',
  (m): m is Date => m instanceof Date,
  (m, c) =>
    t.string.validate(m, c).chain(s => {
      const d = new Date(s)
      return isNaN(d.getTime()) ? t.failure(s, c) : t.success(d)
    }),
  a => a.toISOString()
)

const s = new Date(1973, 10, 30).toISOString()

DateFromString.decode(s)
// right(new Date('1973-11-29T23:00:00.000Z'))

DateFromString.decode('foo')
// left(errors...)

Note that you can deserialize while validating.

Generic Types

Polymorphic runtime types are represented using functions. For example, the following typescript:

interface ResponseBody<T> {
  result: T
  _links: Links
}
interface Links {
  previous: string
  next: string
}

Would be:

import * as t from 'io-ts'
const ResponseBody = <RT extends t.Mixed>(type: RT) =>
  t.interface({
    result: type,
    _links: Links
  })
const Links = t.interface({
  previous: t.string,
  next: t.string
})

And used like:

const UserModel = t.interface({ name: t.string })
functionThatRequiresRuntimeType(ResponseBody(t.array(UserModel)), ...params)

Tips and Tricks

Is there a way to turn the checks off in production code?

No, however you can define your own logic for that (if you really trust the input)

import * as t from 'io-ts'
import { Either, right } from 'fp-ts/lib/Either'

const { NODE_ENV } = process.env

export function unsafeDecode<A, O>(value: t.mixed, type: t.Type<A, O>): Either<t.Errors, A> {
  if (NODE_ENV !== 'production' || type.encode !== t.identity) {
    return type.decode(value)
  } else {
    // unsafe cast
    return right(value as A)
  }
}

// or...

import { failure } from 'io-ts/lib/PathReporter'

export function unsafeGet<A, O>(value: t.mixed, type: t.Type<A, O>): A {
  if (NODE_ENV !== 'production' || type.encode !== t.identity) {
    return type.decode(value).getOrElseL(errors => {
      throw new Error(failure(errors).join('\n'))
    })
  } else {
    // unsafe cast
    return value as A
  }
}

Union of string literals

Use keyof instead of union when defining a union of string literals

const Bad = t.union([
  t.literal('foo'),
  t.literal('bar'),
  t.literal('baz')
  // etc...
])

const Good = t.keyof({
  foo: null,
  bar: null,
  baz: null
  // etc...
})

Benefits

unique check for free
better performance
quick info stays responsive

Known issues

VS Code might display weird types for nested types

const NestedInterface = t.type({
  foo: t.string,
  bar: t.type({
    baz: t.string
  })
})

type NestedInterfaceType = t.TypeOf<typeof NestedInterface>
/*
Hover on NestedInterfaceType will display

type NestedInterfaceType = {
    foo: string;
    bar: t.TypeOfProps<{
        baz: t.StringType;
    }>;
}

instead of

type NestedInterfaceType = {
  foo: string;
  bar: {
    baz: string
  }
}
*/

Solution: the `clean` and `alias` functions

The pattern

// private runtime type
const _NestedInterface = t.type({
  foo: t.string,
  bar: t.type({
    baz: t.string
  })
})

// a type alias using interface
export interface NestedInterface extends t.TypeOf<typeof _NestedInterface> {}

//
// Two possible options for the exported runtime type
//

// a clean NestedInterface which drops the kind...
export const NestedInterface = t.clean<NestedInterface, NestedInterface>(_NestedInterface)
/*
NestedInterface: t.Type<NestedInterface, NestedInterface, t.mixed>
*/

// ... or an alias of _NestedInterface which keeps the kind
export const NestedInterface = t.alias(_NestedInterface)<NestedInterface, NestedInterface>()
/*
t.InterfaceType<{
    foo: t.StringType;
    bar: t.InterfaceType<{
        baz: t.StringType;
    }, t.TypeOfProps<{
        baz: t.StringType;
    }>, t.OutputOfProps<{
        baz: t.StringType;
    }>, t.mixed>;
}, NestedInterface, NestedInterface, t.mixed>
*/

// you can also alias the props
interface NestedInterfaceProps extends t.PropsOf<typeof _NestedInterface> {}
export const NestedInterface = t.alias(_NestedInterface)<NestedInterface, NestedInterface, NestedInterfaceProps>()
/*
const NestedInterface: t.InterfaceType<NestedInterfaceProps, NestedInterface, NestedInterface, t.mixed>
*/

Name		Name	Last commit message	Last commit date
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.vscode		.vscode
docs/images		docs/images
dtslint		dtslint
perf		perf
src		src
test		test
.gitignore		.gitignore
.travis.yml		.travis.yml
CHANGELOG.md		CHANGELOG.md
LICENSE		LICENSE
README.md		README.md
package-lock.json		package-lock.json
package.json		package.json
tsconfig.json		tsconfig.json
tslint.json		tslint.json

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The idea

TypeScript compatibility

Error reporters

Community

TypeScript integration

Implemented types / combinators

Recursive types

Mutually recursive types

Tagged unions

Refinements

Exact types

Strict types (deprecated)

Mixing required and optional props

Custom types

Generic Types

Tips and Tricks

Is there a way to turn the checks off in production code?

Union of string literals

Known issues

Solution: the `clean` and `alias` functions

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sledorze/io-ts

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The idea

TypeScript compatibility

Error reporters

Community

TypeScript integration

Implemented types / combinators

Recursive types

Mutually recursive types

Tagged unions

Refinements

Exact types

Strict types (deprecated)

Mixing required and optional props

Custom types

Generic Types

Tips and Tricks

Is there a way to turn the checks off in production code?

Union of string literals

Known issues

Solution: the clean and alias functions

About

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Solution: the `clean` and `alias` functions

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