runtyping
json-schema-to-ts
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| runtyping | json-schema-to-ts | |
|---|---|---|
| 1 | 5 | |
| 41 | 1,322 | |
| - | - | |
| 8.2 | 7.6 | |
| 7 days ago | about 1 month ago | |
| TypeScript | TypeScript | |
| MIT License | MIT License |
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runtyping
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How do you handle runtime validation / API documentation?
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).
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
What are some alternatives?
zod-to-json-schema - Converts Zod schemas to Json schemas
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-plugins - Plugins and utilities for Zod
middy - 🛵 The stylish Node.js middleware engine for AWS Lambda 🛵
io-ts-promise - io-ts for developers who like Promises
generate-runtypes - A code generator for Runtypes types. Perfect to create tooling to generate code for Runtypes!
papr - MongoDB TypeScript-aware Models
resolvers - 📋 Validation resolvers: Yup, Zod, AJV, Joi, Superstruct, Vest, class-validator, io-ts, typanion, Ajv, TypeBox, Valibot and nope.
quicktype - Generate types and converters from JSON, Schema, and GraphQL
json-schema-to-typescript - Compile JSONSchema to TypeScript type declarations
fastify-type-provider-typebox - A Type Provider for Typebox