graphql-helix VS TypeScript

Depends on language, I've build GraphQL servers in a few, though mostly JavaScript and Python. For Python I used to use Graphene, these days I use Strawberry.

For JavaScript, I originally used graphql-js and express-graphql, as these were the original libraries and I was a literal day 1 adopter. All the libraries are essentially just wrappers around graphql-js, so it's still viable to use directly. But for schema-building I now use Pothos (https://pothos-graphql.dev/), I'd probably use graphql-helix as the http layer (https://github.com/contra/graphql-helix).

If you want a lower level graphql server https://graphql-helix.vercel.app/ or https://benzene.vercel.app/ might be worth checking out.

While there are many GraphQL server packages available, we need one that will play nicely with Nuxt3's server engine (Nitro / h3). In the spirit of keeping things extensible and framework-agnostic, GraphQL Helix seems like a really good choice. Let's add it to our project:

Looks interesting, have you tried graphql-helix?

When using a JavaScript server, a convenient way to achieve this is with GraphQL Helix, which decouples the handling of the HTTP request from the GraphQL server. With Helix, we can have the routing logic be handled by a Node.js web framework (such as Express.js or Fastify), and then — depending on the requested path (i.e., the requested endpoint — we can provide the corresponding schema to the GraphQL server.

GraphQL Helix is a framework and runtime agnostic collection of utility functions for building your own GraphQL HTTP server. Instead of providing a complete HTTP server or middleware plugin function, GraphQL Helix only provides a handful of functions for turning an HTTP request into a GraphQL execution result. You decide how to send back the response.

import { envelop, useSchema, useLogger } from '@envelop/core'; import fastify from 'fastify'; import { processRequest, getGraphQLParameters } from 'graphql-helix'; // This creates the `getEnveloped` function for us. Behind the scense the wrapped functions are created once, here. const getEnveloped = envelop({ plugins: [useSchema(schema), useLogger()], }); const app = fastify(); app.route({ method: ['POST'], url: '/graphql', async handler(req, res) { // Here we can pass the request and make available as part of the "context". // The return value is the a GraphQL-proxy that exposes all the functions. const { parse, validate, contextFactory, execute, schema } = getEnveloped({ req, }); const request = { body: req.body, headers: req.headers, method: req.method, query: req.query, }; const { operationName, query, variables } = getGraphQLParameters(request); // Here, we pass our custom functions to Helix, and it will take care of the rest. const result = await processRequest({ operationName, query, variables, request, schema, parse, validate, execute, contextFactory, }); if (result.type === 'RESPONSE') { res.status(result.status); res.send(result.payload); } else { // You can find a complete example with Subscriptions and stream/defer here: // https://github.com/contrawork/graphql-helix/blob/master/examples/fastify/server.ts res.send({ errors: [{ message: 'Not Supported in this demo' }] }); } }, }); app.listen(3000, () => { console.log(`GraphQL server is running...`); });

Fortunately, we now have libraries like Graphql Helix, which, in my humble opinion, should replace express-graphql as the reference HTTP implementation since GraphQL Helix is also not tied to any web server framework.

If you are using Node.js there are a lot of implementations of GraphQL servers with a few being express-graphql, apollo-server, mercurius, graphql-helix and more. And if you are using other languages, you can see a great list here

Graphql Helix

Regular expressions are part of the language, so it's not so unreasonable that TypeScript should parse them and take their semantics into account. Indeed, TypeScript 5.5 will include [new support for syntax checking of regular expressions](https://github.com/microsoft/TypeScript/pull/55600), and presumably they'll eventually be able to solve the problem the GP highlighted on top of those foundations.

Dedicated syntax for creating unique subsets of a type that denote a particular refinement is a longstanding ask[2] - and very useful, we've experimented with implementations.[3]

I don't think it has any relation to runtime type checking at all. It's refinement types, [4] or newtypes[5] depending on the details and how you shape it.

[1] https://github.com/microsoft/TypeScript/blob/main/src/compil...

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Learning Curve and Developer Tooling sCrypt is an embedded Domain Specific Language (eDSL) based on TypeScript. It is strictly a subset of TypeScript, so all sCrypt code is valid TypeScript. TypeScript is chosen as the host language because it provides an easy, familiar language (JavaScript), but with type safety. There’s an abundance of learning materials available for TypeScript and thus sCrypt, including online tutorials, courses, documentation, and community support. This makes it relatively easy for beginners to start learning. It also has a vast ecosystem with numerous libraries and frameworks (e.g., React, Angular, Vue) that can simplify development and integration with Web2 applications.

As a JavaScript or TypeScript developer, you might have come across the terms type and interface when working with complex data structures or defining custom types. While both serve similar purposes, they have distinct characteristics that influence when to use them. In this blog post, we'll delve into the differences between types and interfaces in TypeScript, providing examples to aid your understanding.

TypeScript helps you in many ways in the context of a JavaScript app. It makes it easier to consume interfaces of any type.

In this guide, we'll be extracting information from Amazon product pages using the power of TypeScript in combination with the Cheerio and Crawlee libraries. We'll explore how to retrieve and extract detailed product data such as titles, prices, image URLs, and more from Amazon's vast marketplace. We'll also discuss handling potential blocking issues that may arise during the scraping process.

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