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@sinclair/typebox
Advanced tools
Package description
The @sinclair/typebox package is a TypeScript utility designed to create type-safe schemas with a consistent syntax. It is primarily used for defining data structures with TypeScript types and validating data at runtime using a separate validation library like Ajv.
Type Creation
Allows the creation of TypeScript types for various data structures such as strings, numbers, objects, arrays, etc. The created types can be used for compile-time type checking and runtime validation.
{"const T = Type.String()"}
Type Composition
Enables the composition of complex types by combining simpler types. This is useful for defining the shape of objects, with optional and required fields.
{"const UserType = Type.Object({ name: Type.String(), age: Type.Optional(Type.Number()) })"}
Type Validation
Provides a way to validate data at runtime against the defined types using a validation library like Ajv. This ensures that the data conforms to the specified schema.
{"const T = Type.String(); const validate = ajv.compile(T); const isValid = validate('hello');"}
Joi is a powerful schema description language and data validator for JavaScript. It allows for detailed descriptions of data structures with a wide range of validation options. Compared to @sinclair/typebox, Joi has a more extensive API and built-in validation without the need for an external library.
Yup is a JavaScript schema builder for value parsing and validation. It defines a schema with an expressive API and handles both validation and error messages. Unlike @sinclair/typebox, Yup includes its own validation methods and does not rely on TypeScript for type definitions.
Zod is a TypeScript-first schema declaration and validation library. It offers a similar experience to @sinclair/typebox by leveraging TypeScript for type safety while also providing runtime validation. Zod's API is designed to be more concise and it includes its own validation logic.
Readme
npm install @sinclair/typebox --save
TypeBox is a type builder library that allows developers to compose complex in-memory JSONSchema objects that can be resolved to static TypeScript types. TypeBox internally represents its types as plain JSONSchema objects and leverages TypeScript's Mapped Types to infer schemas to equivalent static type representations. No additional build process is required.
TypeBox can be used as a tool to build and validate complex schemas, or integrated into RPC or REST services to help validate data received over the wire or published directly to consumers to service as developer documentation.
Note that TypeBox does not provide any mechanisms for validating JSONSchema. Please refer to libraries such as AJV or similar to validate the schemas created with this library.
Requires TypeScript 3.8.3 and above.
License MIT
The following shows the type alias for Order
and its TypeBox equivalent.
import { Type, Static } from '@sinclair/typebox'
// Some type...
type Order = {
email: string,
address: string,
quantity: number,
option: 'pizza' | 'salad' | 'pie'
}
// ...can be expressed as...
const Order = Type.Object({
email: Type.Format('email'),
address: Type.String(),
quantity: Type.Range(1, 99),
option: Type.Union(
Type.Literal('pizza'),
Type.Literal('salad'),
Type.Literal('pie')
)
})
// ... which can be reflected
console.log(JSON.stringify(Order, null, 2))
// ... and statically resolved
type TOrder = Static<typeof Order>
// .. and validated as JSONSchema
JSON.validate(Order, { // IETF | TC39 ?
email: 'dave@domain.com',
address: '...',
quantity: 99,
option: 'pie'
})
// ... and so on ...
TypeBox functions generate JSONschema objects. The following table outlines the TypeScript and JSONSchema equivalence.
The following types and modifiers are compatible with JSONschema and have both JSONschema and TypeScript representations.
Type | TypeBox | TypeScript |
---|---|---|
Optional | const T = Type.Object({ email: Type.Optional(Type.String()) }) | type T = { email?: string } |
Readonly | const T = Type.Object({ email: Type.Readonly(Type.String()) }) | type T = { readonly email: string } |
Literal | const T = Type.Literal(123) | type T = 123 |
String | const T = Type.String() | type T = string |
Number | const T = Type.Number() | type T = number |
Boolean | const T = Type.Boolean() | type T = boolean |
Object | const T = Type.Object({ name: Type.String() }) | type T = { name: string } |
Array | const T = Type.Array(Type.Number()) | type T = number[] |
Map | const T = Type.Map(Type.Number()) | type T = { [key: string] } : number |
Intersect | const T = Type.Intersect(Type.String(), Type.Number()) | type T = string & number |
Union | const T = Type.Union(Type.String(), Type.Number()) | type T = string | number |
Tuple | const T = Type.Tuple(Type.String(), Type.Number()) | type T = [string, number] |
Any | const T = Type.Any() | type T = any |
Null | const T = Type.Null() | type T = null |
Pattern | const T = Type.Pattern(/foo/) | type T = string |
Range | const T = Type.Range(20, 30) | type T = number |
Format | const T = Type.Format('date-time') | type T = string |
Guid | const T = Type.Guid() | type T = string |
The following shows the TypeBox to JSONSchema mappings. The following schemas are returned from each function.
Type | TypeBox | JSONSchema |
---|---|---|
Literal | const T = Type.Literal(123) | { type: 'number', enum: [123] } |
String | const T = Type.String() | { type: 'string' } |
Number | const T = Type.Number() | { type: 'number' } |
Boolean | const T = Type.Boolean() | { type: 'boolean' } |
Object | const T = Type.Object({ name: Type: String() }) | { type: 'object': properties: { name: { type: 'string' } }, required: ['name'] } |
Array | const T = Type.Array(Type.String()) | { type: 'array': items: { type: 'string' } } |
Map | const T = Type.Map(Type.Number()) | pending |
Intersect | const T = Type.Intersect(Type.Number(), Type.String()) | { allOf: [{ type: 'number'}, {type: 'string'}] } |
Union | const T = Type.Union(Type.Number(), Type.String()) | { oneOf: [{ type: 'number'}, {type: 'string'}] } |
Tuple | const T = Type.Union(Type.Number(), Type.String()) | { type: "array", items: [{type: 'string'}, {type: 'number'}], additionalItems: false, minItems: 2, maxItems: 2 } |
Any | const T = Type.Any() | { } |
Null | const T = Type.Null() | { type: 'null' } |
Pattern | const T = Type.Pattern(/foo/) | { type: 'string', pattern: 'foo' } |
Range | const T = Type.Range(20, 30) | { type: 'number', minimum: 20, maximum: 30 } |
Format | const T = Type.Format('date-time') | { type: 'string',format: 'date-time' } |
Guid | const T = Type.Guid() | { type: 'string', format: '' } |
TypeBox provides some non-standard JSONSchema functions that TypeBox refers to as Intrinsic types. While these types cannot be used with JSONSchema, they do provide similar reflection and introspection metadata for expressing function signatures with TypeBox.
See Functions section for more details.
Intrinsic | TypeBox | TypeScript |
---|---|---|
Function | const T = Type.Function([Type.String()], Type.String()) | type T = (arg0: string) => string |
Promise | const T = Type.Promise(Type.String()) | type T = Promise<string> |
Undefined | const T = Type.Undefined() | type T = undefined |
Void | const T = Type.Void() | type T = void |
Intrinsic | TypeBox | TypeScript |
---|---|---|
Function | const T = Type.Function([Type.String()], Type.Number()) | { type: 'function', arguments: [ { type: 'string' } ], returns: { type: 'number' } } |
Promise | const T = Type.Promise(Type.String()) | { type: 'promise', item: { type: 'string' } } |
Undefined | const T = Type.Undefined() | { type: 'undefined' } |
Void | const T = Type.Void() | { type: 'void' } |
TypeBox provides some capabilities for building typed function signatures. It is important to note however that unlike the other functions available on Type
the Type.Function(...)
and other intrinsic types do not produce valid JSONSchema. However, the types returned from Type.Function(...)
may be comprised of schemas that describe its arguments
and return
types. Consider the following TypeScript and TypeBox variants.
// TypeScript
type T0 = (a0: number, a0: number) => number;
type T1 = (a0: string, a1: () => string) => void;
type T2 = (a0: string) => Promise<number>;
type T3 = () => () => string;
// Convention
Type.Function([...Arguments], ReturnType)
// TypeBox
const T0 = Type.Function([Type.Number(), Type.Number()], Type.Number())
const T1 = Type.Function([Type.String(), Type.Function([], Type.String())], Type.Void())
const T2 = Type.Function([Type.String()], Type.Promise(Type.Number()))
const T3 = Type.Function([], Type.Function([], Type.String()))
TypeBox does not provide any mechanism for validating JSONSchema out of the box. Users are expected to bring their own JSONSchema validation library. The following demonstrates how you might enable validation with the AJV npm module.
import * Ajv from 'ajv'
const ajv = new Ajv({ })
ajv.validate(Type.String(), 'hello') // true
ajv.validate(Type.String(), 123) // false
The following demonstrates how you might want to approach runtime type validation with TypeBox. The following
code creates a function that takes a signature type S
which is used to infer function arguments. The body
of the function validates with the signatures arguments
and returns
schemas against values passed by the
caller.
import { Type, Static, TFunction } from '@sinclair/typebox'
// Some validation function.
declare function validate(schema: any, data: any): boolean;
// A function that returns a closure that validates its
// arguments and return value from the given signature.
function Func<S extends TFunction>(signature: S, func: Static<S>): Static<S> {
const validator = (...params: any[]) => {
params.forEach((param, index) => {
if(!validate(signature.arguments[index], param)) {
console.log('error on argument', index)
}
})
const result = (func as Function)(...params);
if(!validate(signature.return, result)) {
console.log('error on return')
}
return result
}
return validator as Static<S>
}
// Create some function.
const Add = Func(
Type.Function([
Type.Number(),
Type.Number()
], Type.Number()),
(a, b) => {
return a + b
})
// Call it
Add(20, 30)
FAQs
Json Schema Type Builder with Static Type Resolution for TypeScript
The npm package @sinclair/typebox receives a total of 29,169,925 weekly downloads. As such, @sinclair/typebox popularity was classified as popular.
We found that @sinclair/typebox demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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