json-schema-to-ts VS zod-plugins

JSON Schema To TS

// First create a general "post" schema // Shared Schema export const postSchema = { $id: 'post', type: 'object', properties: { id: { type: 'number' }, title: { type: 'string' }, published: { type: 'boolean' }, content: { type: 'string' }, tags: { type: 'array', items: { type: 'string' } }, deleted: { type: 'boolean' } }, required: ['title', 'published', 'content', 'tags', 'deleted'] } as const // We don't need to create a separate "bodySchema". // But directly infer type from postSchema export type Body = FromSchema // Reply Schema // Check https://www.fastify.io/docs/latest/Reference/Validation-and-Serialization/#adding-a-shared-schema const replySchema = { type: 'object', properties: { posts: { type: 'array', items: { $ref: 'post#' } } }, additionalProperties: false } as const // Check https://github.com/ThomasAribart/json-schema-to-ts#references export type Reply = FromSchema< typeof replySchema, { references: [typeof postSchema] } > // Also make ReplyNotFound reusable for future use export const postNotFoundSchema = { $id: 'postNotFound', // add $id here type: 'object', required: ['error'], properties: { error: { type: 'string' } }, additionalProperties: false } as const export type PostNotFound = FromSchema

json-schema-to-ts comes to the rescue. 💪

https://github.com/ThomasAribart/json-schema-to-ts - Infers TS Types from raw JSON Schema object literals you embed in your code.

Fonte: https://github.com/ThomasAribart/json-schema-to-ts

I use zod to ensure that the typing can be trusted and derive my types from it. Finally, I generate test data using zod-mock. It works great.

You could try zod for runtime validation and types with zod-openapi to derive open API schema from the validator. An example of the alternative approach is something like generate-runtypes or runtyping to generate runtypes validators from a JSON schema (and separately generate the Open API definitions from the JSON schema).