json-schema-to-ts
typebox
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json-schema-to-ts | typebox | |
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5 | 57 | |
1,330 | 4,227 | |
- | - | |
7.6 | 8.8 | |
about 2 months ago | 8 days ago | |
TypeScript | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
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json-schema-to-ts
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Fastify: Support for Auto Type Inference (similar to TRPC)
JSON Schema To TS
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Better Backend DX: JSON Schema + TypeScript + Swagger = ✨ Vol. 2
// 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
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Better Backend DX: JSON Schema + TypeScript + Swagger = ✨ Vol. 1
json-schema-to-ts comes to the rescue. 💪
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How do you handle runtime validation / API documentation?
https://github.com/ThomasAribart/json-schema-to-ts - Infers TS Types from raw JSON Schema object literals you embed in your code.
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6 importantes bibliotecas para AWS Serverless TypeScript
Fonte: https://github.com/ThomasAribart/json-schema-to-ts
typebox
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Popular Libraries For Building Type-safe Web Application APIs
The documentation can be found here.
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I write HTTP services in Go after 13 years (Mat Ryer, 2024)
So far I like the commonly used approach in the Typescript community best:
1. Create your Schema using https://zod.dev or https://github.com/sinclairzx81/typebox
2. Generate your Types from the schema. It's very simple to create partial or composite types, e.g. UpdateModel, InsertModels, Arrays of them, etc.
3. Most modern Frameworks have first class support for validation, like is a great example Fastify (with typebox). Just reuse your schema definition.
That is very easy, obvious and effective.
- Where DRY Applies
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Has anybody used Typia library?
There's a ton of schema validators out there and most devs have their personal favorite. Mine was zod and is now typebox + ajv.
- I'm looking to use my openapi spec to dyanamically create types
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How can I generate typescript types?
If you're willing to document your API with an OpenAPI schema, then it should be possible to generate TypeScript types based on the OpenAPI schema with something like openapi-typescript. Also, Typebox can generate JSON schemas, maybe it can be used to generate something that the front-end can also use?
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[AskTS] What do you think will be the future of runtime type checking?
Well, I do provide extensibility for those bullet points you've listed to varying degrees (both schema and type representation), as well as offering a reference implementation for expressing a entirely different schema specification under the type system (specifically RFC8927 / JSON Type Definition). Reference implementation here. As for JSDoc, It's supported in code hints.
- TypeBox: Runtime Type System Built on Industry Standards
- TypeBox: A Type System for JavaScript built on Industry Standard Specifications
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Building a modern gRPC-powered microservice using Node.js, Typescript, and Connect
In setting out to build this service, we wanted to use gRPC for its APIs. We’ve been reaching for REST when building APIs so far, primarily out of necessity, i.e., our public APIs needed auto-generated client SDKs and docs for developers working with them. We built those APIs with Fastify and Typebox but felt burned by a code-first approach to generating an OpenAPI spec. I’ll spare you the details and save that experience/learning for another article. Suffice it to say we love gRPC’s schema-first approach. This blog post summarizes our feelings well
What are some alternatives?
aws-lambda-power-tuning - AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
zod - TypeScript-first schema validation with static type inference
middy - 🛵 The stylish Node.js middleware engine for AWS Lambda 🛵
zod-to-json-schema - Converts Zod schemas to Json schemas
generate-runtypes - A code generator for Runtypes types. Perfect to create tooling to generate code for Runtypes!
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
papr - MongoDB TypeScript-aware Models
class-validator - Decorator-based property validation for classes.
quicktype - Generate types and converters from JSON, Schema, and GraphQL
openapi-typescript-validator - Generate typescript with ajv validation based on openapi schemas
json-schema-to-typescript - Compile JSONSchema to TypeScript type declarations
ts-json-schema-generator - Generate JSON schema from your Typescript sources