Javascript

The Future of Node.js: Experimental Web APIs and Default Test Runner for Node 18

Published Aug 5, 2022

Updated Feb 13, 2023

3 min read

This article was written over 18 months ago and may contain information that is out of date. Some content may be relevant but please refer to the relevant official documentation or available resources for the latest information.

In the latest This Dot State of Node.js, Node.js core contributors shared their thoughts on the new APIs released with Node.js 18.

Here is a complete list of the panelists that participated in the online event:

Host:

Tracy Lee, CEO, This Dot Labs, @ladyleet

Panelists:

Beth Griggs, Senior Software Engineer, Red Hat @bethgriggs_ Colin Ihrig, Engineer, Deno @cjihrig Danielle Adams, Software Engineer, Amazon Web Services @adamzdanielle Michael Dawson, Node.js Lead, Red Hat and IBM @mhdawson1

You can watch the full This Dot State of Node.js, event on This Dot Media's YouTube Channel. Here are detailed key points from the panel discussion:

Node.js 18

Node.js 18 was released in April with updates to Google’s V8 JavaScript Engine, experimental browser APIs, and a Test Runner.

Getting involved in Node.js

The Node API Working Group is a growing community of developers who contribute to the Node.js Open Source project. To get involved with meetings, working groups, and projects happening, visit (the Node.js website](https://nodejs.org/en/get-involved/).

The Future of Node.js

Node.js had a very successful first 10 years, and the team is working towards the next 10 years of building and maintaining the ecosystem. To help achieve the vision a working group, The Node.js Next 10 Working Group has set up a meeting every two weeks to discuss documentations and projects.

Node.js 18 new Features

There are so many new features to be excited for with the Node.js 18 release, including some web APIs and a test runner.

Native Fetch API (experimental)

Node.js 18 has enabled an experimental fetch API on the global scope by default #41811,

const res = await fetch('https://nodejs.org/api/documentation.json');
if (res.ok) {
  const data = await res.json();
  console.log(data);
}

Node.js Test Runner (experimental)

The Node.js Test Runner node:test facilitates creating JavaScript tests that report results in TAP format. #42658

Upgrade to Node.js 18

To upgrade from a version of Node.js to the latest version 18, it’s a good idea to read the change logs and follow the breaking changes.

This Node.js release follows the experimental flag for major features to give the community the opportunity to test out the features before they are designated “stable”. To use Node.js without experimental features, use the --no-experimental-fetch command-line flag.

If you face any issue with the experimental features or any features on the Node.js, Node.js has a help repository where you can ask questions.

Conclusion

Among discussions and updates for Node.js Test Runner, Browser APIs in Node.js, and The Future of Node (Node Next10), the panelists also discussed OpenJS Foundation hosting the OpenJS World 2022 event with Collab Summit.

I recommend you watch the full video of the event on This Dot’s YouTube Channel.

Want to learn more about Node.js? Check out the This Dot blog for more Node.js content!

This Dot is a consultancy dedicated to guiding companies through their modernization and digital transformation journeys. Specializing in replatforming, modernizing, and launching new initiatives, we stand out by taking true ownership of your engineering projects.

We love helping teams with projects that have missed their deadlines or helping keep your strategic digital initiatives on course. Check out our case studies and our clients that trust us with their engineering.

About the author(s)

Hassan Sani
@inidaname @inidaname

Introduction to Zod for Data Validation

As web developers, we're often working with data from external sources like APIs we don't control or user inputs submitted to our backends. We can't always rely on this data to take the form we expect, and we can encounter unexpected errors when it deviates from expectations. But with the Zod library, we can define what our data ought to look like and parse the incoming data against those defined schemas. This lets us work with that data confidently, or to quickly throw an error when it isn't correct. Why use Zod? TypeScript is great for letting us define the shape of our data in our code. It helps us write more correct code the first time around by warning us if we are doing something we shouldn't. But TypeScript can't do everything for us. For example, we can define a variable as a string or a number, but we can't say "a string that starts with user_id_ and is 20 characters long" or "an integer between 1 and 5". There are limits to how much TypeScript can narrow down our data for us. Also, TypeScript is a tool for us developers. When we compile our code, our types are not available to the vanilla JavaScript. JavaScript can't validate that the data we actually use in our code matches what we thought we'd get when we wrote our TypeScript types unless you're willing to manually write code to perform those checks. This is where we can reach for a tool like Zod. With Zod, we can write data schemas. These schemas, in the simplest scenarios, look very much like TypeScript types. But we can do more with Zod than we can with TypeScript alone. Zod schemas let us create additional rules for data parsing and validation. A 20-character string that starts with user_id_? It's z.string().startsWith('user_id_').length(20). An integer between 1 and 5 inclusive? It's z.number().int().gte(1).lte(5). Zod's primitives give us many extra functions to be more specific about *exactly* what data we expect. Unlike TypeScript, Zod schemas aren't removed on compilation to JavaScript—we still have access to them! If our app receives some data, we can verify that it matches the expected shape by passing it to your Zod schema's parse function. You'll either get back your data in exactly the shape you defined in your schema, or Zod will give you an error to tell you what was wrong. Zod schemas aren't a replacement for TypeScript; rather, they are an excellent complement. Once we've defined our Zod schema, it's simple to derive a TypeScript type from it and to use that type as we normally would. But when we really need to be sure our data conforms to the schema, we can always parse the data with our schema for that extra confidence. Defining Data Schemas Zod schemas are the variables that define our expectations for the shape of our data, validate those expectations, and transform the data if necessary to match our desired shape. It's easy to start with simple schemas, and to add complexity as required. Zod provides different functions that represent data structures and related validation options, which can be combined to create larger schemas. In many cases, you'll probably be building a schema for a data object with properties of some primitive type. For example, here's a schema that would validate a JavaScript object representing an order for a pizza: ` Zod provides a number of primitives for defining schemas that line up with JavaScript primitives: string, number, bigint, boolean, date, symbol, undefined, and null. It also includes primitives void, any, unknown, and never for additional typing information. In addition to basic primitives, Zod can define object, array, and other native data structure schemas, as well as schemas for data structures not natively part of JavaScript like tuple and enum. The documentation contains considerable detail on the available data structures and how to use them. Parsing and Validating Data with Schemas With Zod schemas, you're not only telling your program what data should look like; you're also creating the tools to easily verify that the incoming data matches the schema definitions. This is where Zod really shines, as it greatly simplifies the process of validating data like user inputs or third party API responses. Let's say you're writing a website form to register new users. At a minimum, you'll need to make sure the new user's email address is a valid email address. For a password, we'll ask for something at least 8 characters long and including one letter, one number, and one special character. (Yes, this is not really the best way to write strong passwords; but for the sake of showing off how Zod works, we're going with it.) We'll also ask the user to confirm their password by typing it twice. First, let's create a Zod schema to model these inputs: ` So far, this schema is pretty basic. It's only making sure that whatever the user types as an email is an email, and it's checking that the password is at least 8 characters long. But it is *not* checking if password and confirmPassword match, nor checking for the complexity requirements. Let's enhance our schema to fix that! ` By adding refine with a custom validation function, we have been able to verify that the passwords match. If they don't, parsing will give us an error to let us know that the data was invalid. We can also chain refine functions to add checks for our password complexity rules: ` Here we've chained multiple refine functions. You could alternatively use superRefine, which gives you even more fine grained control. Now that we've built out our schema and added refinements for extra validation, we can parse some user inputs. Let's see two test cases: one that's bound to fail, and one that will succeed. ` There are two main ways we can use our schema to validate our data: parse and safeParse. The main difference is that parse will throw an error if validation fails, while safeParse will return an object with a success property of either true or false, and either a data property with your parsed data or an error property with the details of a ZodError explaining why the parsing failed. In the case of our example data, userInput2 will parse just fine and return the data for you to use. But userInput1 will create a ZodError listing all of the ways it has failed validation. ` ` We can use these error messages to communicate to the user how they need to fix their form inputs if validation fails. Each error in the list describes the validation failure and gives us a human readable message to go with it. You'll notice that the validation errors for checking for a valid email and for checking password length have a lot of details, but we've got three items at the end of the error list that don't really tell us anything useful: just a custom error of Invalid input. The first is from our refine checking if the passwords match, and the second two are from our refine functions checking for password complexity (numbers and special characters). Let's modify our refine functions so that these errors are useful! We'll add our own error parameters to customize the message we get back and the path to the data that failed validation. ` Now, our error messages from failures in refine are informative! You can figure out which form fields aren't validating from the path, and then display the messages next to form fields to let the user know how to remedy the error. ` By giving our refine checks a custom path and message, we can make better use of the returned errors. In this case, we can highlight specific problem form fields for the user and give them the message about what is wrong. Integrating with TypeScript Integrating Zod with TypeScript is very easy. Using z.infer<typeof YourSchema> will allow you to avoid writing extra TypeScript types that merely reflect the intent of your Zod schemas. You can create a type from any Zod schema like so: ` Using a TypeScript type derived from a Zod schema does *not* give you any extra level of data validation at the type level beyond what TypeScript is capable of. If you create a type from z.string.min(3).max(20), the TypeScript type will still just be string. And when compiled to JavaScript, even that will be gone! That's why you still need to use parse/safeParse on incoming data to validate it before proceeding as if it really does match your requirements. A common pattern with inferring types from Zod schemas is to use the same name for both. Because the schema is a variable, there's no name conflict if the type uses the same name. However, I find that this can lead to confusing situations when trying to import one or the other—my personal preference is to name the Zod schema with Schema at the end to make it clear which is which. Conclusion Zod is an excellent tool for easily and confidently asserting that the data you're working with is exactly the sort of data you were expecting. It gives us the ability to assert at runtime that we've got what we wanted, and allows us to then craft strategies to handle what happens if that data is wrong. Combined with the ability to infer TypeScript types from Zod schemas, it lets us write and run more reliable code with greater confidence....

Nov 15, 2024

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The Journey To Making A New Framework: TanStack Start with Tanner Linsley

Danny Thompson, Director of Technology at This Dot Labs, talks with Tanner Linsley, Creator of TanStack, about his latest project, TanStack Start. They discuss the challenges of existing frameworks like Next.js and Remix, the development of TanStack Router, and the future of React Server Components. Tanner also explains how caching strategies and fine-grained invalidation can transform the user experience. Chapters - - Introduction & Tanner’s Background (00:00) - Going Full-Time on TanStack (01:00) - The Birth of TanStack Router (02:21) - Why Build Another Framework? (04:00) - React Server Components: Potential & Limitations (07:05) - Fine-Grained Cache Invalidation & UX (09:02) - Parallel Data Fetching in Routing (13:39) - TanStack Start: Alpha & Future Plans (16:41) - Where to Learn More About TanStack (18:48) Find Tanner Linsley on Social Media Twitter: https://x.com/tannerlinsley Linkedin: https://www.linkedin.com/in/tannerlinsley/ Github: https://github.com/tannerlinsley TanStack: https://tanstack.com/ Sponsored by Wix Studio...

Oct 9, 2024

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How to Create Better Test Coverage Using Cypress 10

Testing is an integral part of software development, and it is important that all developers learn best testing practices. Jordan Powell, DX engineer at Cypress and Angular Google Developer Expert, has some tips to share with developers on how to write better tests using Cypress 10. In this article, we will take a look at Powell’s tips for writing end-to-end tests, component tests, and advanced testing patterns in Cypress. If you want to learn more from Jordan Powell, please check out his Advanced Cypress JS Drop training. Table of Contents - Why is Testing important? - Types of Testing - A new take on the testing pyramid - Differences between end-to-end testing and component testing - Jordan Powell’s best practices for E2E testing - Don’t use HTML Native selectors - Use Closures - Independent Test - Use Route Aliases - Setting a Global baseUrl - Jordan Powell’s Best Practices for Component Testing - Default Config Mount - Cypress Intercept - Use createOutputSpy - Jordan Powell’s Advanced Cypress Patterns - Session - Origin - Conclusion Why is Testing important? Software testing identifies issues within the application, and helps ensure that only high quality products are shipped to the user. Here are Jordan Powell’s reasons on why testing is important, and how it helps developers: Documentation: Good testing coverage will result in developers creating stronger test plans and better QA testing for new releases. Confidence: Writing good tests allows developers to build new features in confidence because the applications are working as intended. Safe Refactoring: Good test coverage leads to less refactoring down the road, and provides developers more time to work on new features. Improved UX: Good test coverage provides better UX (User Experience) for the end user because the application is working as intended. Types of Testing E2E, Integration, and Unit testing are three common methods for testing software applications. Unit Test: Unit testing serves as the foundation of the test pyramid. If you're working in a functional language, a unit will most likely be a single function. Your unit tests will call a function with different parameters and ensure that it returns the expected values. In an object-oriented language, a unit can range from a single method to an entire class. Integration test: Integration testing is where individual components of your application are tested as a group. End-to-end testing: E2E Testing is a technique that tests your app from the web browser through to the back end of your application, as well as testing integrations with third-party APIs and services. These types of tests are great at making sure your entire app is functioning as a cohesive whole. A new take on the testing pyramid In Jordan Powell’s Advanced Cypress JS Drop training, he challenges developers to rethink the traditional testing pyramid, and believes that component testing should also be included. Component Testing with Cypress 10 allows developers to test individual components quickly, regardless of its complexity. Component tests differ from end-to-end tests in that instead of visiting a URL to pull up an entire app, a component can be "mounted" and tested on its own. Differences between end-to-end testing and component testing Here are a few key differences between End-to-end and component testing: | End-to-end testing | Component testing | | ------------------------------------------------------- | ------------------------------------------------------------------------ | | The entire application and all of its layers are tested | Only the independent components are tested | | Testing can be done by developers and QA Teams | Testing is done by the developers | | Often requires a complex setup | No extra configuration for CI(Continuous Integration) environments needed | | Initialization command: cy.visit(url) | Initialization command: cy.mount() | Jordan Powell’s best practices for E2E testing Don’t use HTML Native selectors It is not good practice to use element selectors, id attributes, or class attributes when writing End-to-end tests. Using HTML Native selectors can lead to team members refactoring tests later on, or changing attributes which could affect the tests. Jordan Powell recommends using data attributes that can inform the team that this is a test attribute. When other team members need to change anything, they will be aware of the function of the attribute and what it may affect. Use Closures Jordan warns against assigned return values for Cypress assertions, and recommends using closures to access the Commands yield like this: ` Independent Test It is not good practice to combine related tests. Jordan Powell suggests that tests should be run independently from one another without sharing or relying on other test states. If test suites are related in any way, run the related properties or methods before each of the test runs, like in the code below: ` Use Route Aliases Another recommended practice is to use route aliases to guard Cypress against proceeding until an explicit condition is met. ` Setting a Global baseUrl It is bad practice to use hardcoded URL strings for the baseUrl because it will eventually fail when the environment changes. Instead, Powell recommends using a config file that holds the environment baseUrl. Jordan Powell’s Best Practices for Component Testing All of the code examples in this next section will be for Angular, but Cypress component testing works for all major Frontend JavaScript frameworks. Default Config Mount Component testing takes two parameters: the component to mount, and the object for configuration. A Custom Mount Config can boost flexibility. It ships a default mount config which you can use, but to manage multiple modules and import without adding too many boilerplate codes, it is recommended to have a custom mount config for specific instances. ` Cypress Intercept Component testing handles the individual components you are testing at a particular time, to access external API it is recommended to use cy.intercept. According to the Doc Cy.intercept can be used to passively listen for matching routes without manipulating the request or its response in any way. ` Use createOutputSpy When working with eventEmitter for components that may contain forms or other elements with events, createOutputSpy will automatically create an EventEmitter and set up the spy on it's .emit() method. ` Jordan Powell’s Advanced Cypress Patterns Session When testing for routes or components that require authentication Cypress provides cy.session which eliminates creating functions in your test to check for sessions on every call to the route or component. cy.session caches the sessions, and it will skip the login process for testing components that need the sessions on a second call. ` Origin Running tests for projects that require a visit to multiple different domains could get CORS, or a limitation of visits, due to browser environment. Cypress provides Origin to help bypass some of the browser limitations. ` Conclusion In this article, we looked at Jordan Powell’s tips for writing End-to-end tests, component tests, and advanced testing patterns in Cypress. I recommend watching the full video for Jordan Powell’s Advanced Cypress JS Drop training. Are you excited about the Cypress Component Testing? Let us know on Twitter....

Dec 19, 2022

6 mins

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Learning Paths for Next.JS Developers with Ankita Kulkarni

In this video, Rob Ocel and co-hosts Tracy Lee, Adam Rackis, and Danny Thompson talk with tech educator Ankita Kulkarni about her journey from engineering leader to full-time educator. Ankita shares insights on teaching Next.js, bridging practical knowledge gaps, and helping developers tackle real-world challenges. They discuss Next.js as a React-based framework, its benefits, and the challenges it presents for beginners. Chapters - Introduction to the Podcast and Guests 00:01 - Meet Ankita Kulkarni, Tech Educator 00:26 - Ankita's Transition to Full-Time Education 01:41 - Teaching Practical Knowledge in Next.js 03:19 - Effective Methods for Teaching Next.js 05:27 - Challenges of Being a Full-Time Educator 07:48 - Balancing Broad and Specific Examples 09:54 - Embracing Mistakes as a Teaching Tool 12:13 - Pair Programming and Mentorship 14:00 - Discussion on Next.js and Framework Adoption 16:48 - Advantages and Challenges of Next.js 18:12 - Choosing the Right Framework for Your Needs 20:35 - Impact of Next.js in React Documentation 22:26 - Learning Paths for New Developers 23:24 - The Rise of Full-Stack Web Development 25:09 - Benefits of Frameworks Abstracting Complexity 26:27 - OpenNext and Deployment Flexibility 28:06 - Ankita's Excitement for New Next.js Features 30:35 - The Future of Next.js Without Vercel 32:16 - Final Thoughts and Where to Find Everyone Online 34:21 Follow Ankita Kulkarni on Social Media Twitter: https://x.com/kulkarniankita9 YouTube: https://www.youtube.com/@kulkarniankita Sponsored by This Dot: thisdot.co...

Nov 12, 2024

2 mins

NextJSJavaScript

Let's innovate together!

We're ready to be your trusted technical partners in your digital innovation journey.

Whether it's modernization or custom software solutions, our team of experts can guide you through best practices and how to build scalable, performant software that lasts.

The Future of Node.js: Experimental Web APIs and Default Test Runner for Node 18

Host:

Panelists:

Node.js 18

Getting involved in Node.js

The Future of Node.js

Node.js 18 new Features

Native Fetch API (experimental)

Node.js Test Runner (experimental)

Upgrade to Node.js 18

Other Topics

Conclusion

Hassan Sani

You might also like

Introduction to Zod for Data Validation

The Journey To Making A New Framework: TanStack Start with Tanner Linsley

How to Create Better Test Coverage Using Cypress 10

Learning Paths for Next.JS Developers with Ankita Kulkarni

Let's innovate together!

You might also like

Introduction to Zod for Data Validation

The Journey To Making A New Framework: TanStack Start with Tanner Linsley

How to Create Better Test Coverage Using Cypress 10

Learning Paths for Next.JS Developers with Ankita Kulkarni