Javascript

RxJS 7 and Beyond: What to Expect and Prepare For

Published Nov 30, 2020

Updated Feb 14, 2023

4 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This article was written over 18 months ago and may contain information that is out of date.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.

I recently co-hosted an episode of the Modern Web Podcast along with Tracy Lee, in which we interviewed Ben Lesh, the author of RxJS, on the most recent updates for RxJS 7 and its targeted release date.

It was an opportunity to understand how RxJS has improved over time, and how TypeScript helped to identify bugs.

It's worth mentioning that RxJS 7 has been around a year now. The v7 alpha was released a year ago, and the first beta came out 7 months ago. Let's discover the upcoming features and breaking changes.

Better TypeScript typings

This is the biggest improvement for this latest version. Of course, this required some breaking changes. However, the team is proud to provide better type inference now.

toPromise Operator

Let's see an example with the .toPromise Operator for a better understanding:

  const values = ['a', 'b', 'c', 'd', undefined];
  const result: string = await from(values).toPromise();
  console.log(result); // prints 'undefined'

The Promise API ensures a result(fulfilled) or an error(rejected). However, with .toPromise operator it's possible to get undefined if the observable completes without emitting any value, or if that value was emitted last, and it won't throw any error.

With RxJS 7, you'll need to specify undefined along with the union type of TypeScript:

const values = ['a', 'b', 'c', 'd', undefined];
const result: string | undefined = await from(values).toPromise(); // Promise<T | undefined>
console.log(result); // prints 'undefined'

An important note: the .toPromise operator will be deprecated in RxJS 7 and it will be removed by RxJS 8. In its place, you'll find firstValueFrom() and lastValueFrom().

firstValueFrom

This function subscribes to an Observable, and converts it to a promise. The promise result will be resolved as soon as the first value arrives from the observable, and then the subscription will be closed.

const values = ["a", "b", "c", "d"];
const observable = from(values);
const result: string = await firstValueFrom(observable); // Promise<string>
console.log(result); // prints 'a'

As consequence, this Operator should be used when you know the Observable will emit at least one value.

lastValueFrom

This function converts an Observable to a promise by subscribing to the Observable and waiting for it to complete. The Promise will resolve the last value from the stream.

const values = ["a", "b", "c", "d"];
const observable = from(values);
const result: string = await lastValueFrom(observable);
console.log(result); // prints 'd'

Of course, this Operator should be used only when you know the Observable will complete any time. Otherwise, you end up with a Promise that is hung up.

RxJS is smaller

Not too many words are needed to describe this awesome improvement. However, in the last couple of months of work, the RxJS team did a lot of code refactoring that reduced the size drastically. According to Ben Lesh, it's now almost 50% smaller.

A lot of these improvements were done through code refactoring. The original code was written 6 years ago and there have been about four rewrites that Ben created with experimental branches, but they never ever made it over. Most of these changes were sent as a pull request: refactor: smallify all the things.

RxJS supports the latest TypeScript version

The RxJS team was waiting for TypeScript 4 for code refactoring and now that v4.1 is coming, there are a couple of features they may want to use. Mostly for better type inference, and bad types fixing.

Stability Matters

The RxJS team is focused on getting those changes as stable as possible. This has a high priority considering the 23+ Million downloads the library receives every week.

On other hand, Google syncs their entire mono repository with the master branch of RxJS. Thus, RxJS 7 has been used in production for a while by Google products.

How TypeScript improved RxJS?

It's an interesting fact to know that the RxJS project is using TypeScript actively, in the words of Ben Lesh:

TypeScript is awesome. When RxJS migrated from JavaScript to TypeScript, we found bugs immediately (it was in TypeScript 1.8). RxJS implementation is using all of the stricter settings for TypeScript, We're trying to be strict as possible and I recommend that too by the way.

If you're building an App that uses libraries, TypeScript would be a great addition for you (talking about the Developer Experience), and your project. You should put in strict settings, and get everything to work.

It is worth mentioning that the TypeScript team has added a lot of features because of Angular and RxJS projects too.

RxJS 7 and Beyond

It looks like, at this point, version 8 will not need to be a complete rewrite. RxJS 8 will just go through the pending deprecations and finally get rid of them, mainly because a lot of them were sitting there for about 2 years. Of course, these changes would reduce the size of the library a lot more and will make it smaller and faster.

What about RxJS 9 or even future versions?

Ben explained that some libraries and APIs started using the AbortSignal interface. It can be used currently with fetch as a cancellation primitive:

const controller = new AbortController();
const signal = controller.signal;

function fetchResource() {
  fetch(url, {signal}).then((response) => {
      // process the response here
  }).catch((e) => {
    console.log('Error', e);
  });
}

function cancel() {
  controller.abort();
}

This API exists in the browser, and will be available in Node.js. RxJS would probably want to use the same cancellation mechanism. However, this is speculation for now because nothing like that will be done very quickly.

RxJS is an Open Source project

There is a lot of exciting news around RxJS. So, why is it actually taking some time to have v7 ready?

Ben explained that there's a couple of issues that need to be solved before the release of the stable version.

Also, it is difficult to set a fixed date for the expected release since these improvements and fixes are all done through volunteer work.

If you are interested in contributing with your TypeScript skills, please come and help the RxJS team!

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)

Luis Aviles
Luis is a Senior Software Engineer and Google Developer Expert in Web Technologies and Angular. He is an author of online courses, technical articles, and a public speaker. He has participated in different international technology conferences, giving technical talks, workshops, and training sessions. He’s passionate about the developer community and he loves to help junior developers and professionals to improve their skills. When he’s not coding, Luis is doing photography or Astrophotography.
@luixaviles @luixaviles

Understanding Vue's Reactive Data

Introduction Web development has always been about creating dynamic experiences. One of the biggest challenges developers face is managing how data changes over time and reflecting these changes in the UI promptly and accurately. This is where Vue.js, one of the most popular JavaScript frameworks, excels with its powerful reactive data system. In this article, we dig into the heart of Vue's reactivity system. We unravel how it perfectly syncs your application UI with the underlying data state, allowing for a seamless user experience. Whether new to Vue or looking to deepen your understanding, this guide will provide a clear and concise overview of Vue's reactivity, empowering you to build more efficient and responsive Vue 3 applications. So, let’s kick off and embark on this journey to decode Vue's reactive data system. What is Vue's Reactive Data? What does it mean for data to be ”'reactive”? In essence, when data is reactive, it means that every time the data changes, all parts of the UI that rely on this data automatically update to reflect these changes. This ensures that the user is always looking at the most current state of the application. At its core, Vue's Reactive Data is like a superpower for your application data. Think of it like a mirror - whatever changes you make in your data, the user interface (UI) reflects these changes instantly, like a mirror reflecting your image. This automatic update feature is what we refer to as “reactivity”. To visualize this concept, let's use an example of a simple Vue application displaying a message on the screen: ` In this application, 'message' is a piece of data that says 'Hello Vue!'. Let's say you change this message to 'Goodbye Vue!' later in your code, like when a button is clicked. ` With Vue's reactivity, when you change your data, the UI automatically updates to 'Goodbye Vue!' instead of 'Hello Vue!'. You don't have to write extra code to make this update happen - Vue's Reactive Data system takes care of it. How does it work? Let's keep the mirror example going. Vue's Reactive Data is the mirror that reflects your data changes in the UI. But how does this mirror know when and what to reflect? That's where Vue's underlying mechanism comes into play. Vue has a behind-the-scenes mechanism that helps it stay alerted to any changes in your data. When you create a reactive data object, Vue doesn't just leave it as it is. Instead, it sends this data object through a transformation process and wraps it up in a Proxy. Proxy objects are powerful and can detect when a property is changed, updated, or deleted. Let's use our previous example: ` Consider our “message” data as a book in a library. Vue places this book (our data) within a special book cover (the Proxy). This book cover is unique - it's embedded with a tracking device that notifies Vue every time someone reads the book (accesses the data) or annotates a page (changes the data). In our example, the reactive function creates a Proxy object that wraps around our state object. When you change the 'message': ` The Proxy notices this (like a built-in alarm going off) and alerts Vue that something has changed. Vue then updates the UI to reflect this change. Let’s look deeper into what Vue is doing for us and how it transforms our object into a Proxy object. You don't have to worry about creating or managing the Proxy; Vue handles everything. ` In the example above, we encapsulate our object, in this case, “state”, converting it into a Proxy object. Note that within the second argument of the Proxy, we have two methods: a getter and a setter. The getter method is straightforward: it merely returns the value, which in this instance is “state.message” equating to 'Hello Vue!' Meanwhile, the setter method comes into play when a new value is assigned, as in the case of “state.message = ‘Hey young padawan!’”. Here, “value” becomes our new 'Hey young padawan!', prompting the property to update. This action, in turn, triggers the reactivity system, which subsequently updates the DOM. Venturing Further into the Depths If you have been paying attention to our examples above, you might have noticed that inside the Proxy method, we call the functions track and trigger to run our reactivity. Let’s try to understand a bit more about them. You see, Vue 3 reactivity data is more about Proxy objects. Let’s create a new example: ` In this example, when you click on the button, the message's value changes. This change triggers the effect function to run, as it's actively listening for any changes in its dependencies. How does the effect property know when to be called? Vue 3 has three main functions to run our reactivity: effect, track, and trigger. The effect function is like our supervisor. It steps in and takes action when our data changes – similar to our effect method, we will dive in more later. Next, we have the track function. It notes down all the important data we need to keep an eye on. In our case, this data would be state.message. Lastly, we've got the trigger function. This one is like our alarm bell. It alerts the effect function whenever our important data (the stuff track is keeping an eye on) changes. In this way, trigger, track, and effect work together to keep our Vue application reacting smoothly to changes in data. Let’s go back to them: ` Tracking (Dependency Collection) Tracking is the process of registering dependencies between reactive objects and the effects that depend on them. When a reactive property is read, it's "tracked" as a dependency of the current running effect. When we execute track(), we essentially store our effects in a Set object. But what exactly is an "effect"? If we revisit our previous example, we see that the effect method must be run whenever any property changes. This action — running the effect method in response to property changes — is what we refer to as an "Effect"! (computed property, watcher, etc.) > Note: We'll outline a basic, high-level overview of what might happen under the hood. Please note that the actual implementation is more complex and optimized, but this should give you an idea of how it works. Let’s see how it works! In our example, we have the following reactive object: ` We need a way to reference the reactive object with its effects. For that, we use a WeakMap. Which type is going to look something like this: ` We are using a WeakMap to set our object state as the target (or key). In the Vue code, they call this object targetMap. Within this targetMap object, our value is an object named depMap of Map type. Here, the keys represent our properties (in our case, that would be message and showSword), and the values correspond to their effects – remember, they are stored in a Set that in Vue 3 we refer to as dep. Huh… It might seem a bit complex, right? Let's make it more straightforward with a visual example: With the above explained, let’s see what this Track method kind of looks like and how it uses this targetMap. This method essentially is doing something like this: ` At this point, you have to be wondering, how does Vue 3 know what activeEffect should run? Vue 3 keeps track of the currently running effect by using a global variable. When an effect is executed, Vue temporarily stores a reference to it in this global variable, allowing the track function to access the currently running effect and associate it with the accessed reactive property. This global variable is called inside Vue as activeEffect. Vue 3 knows which effect is assigned to this global variable by wrapping the effects functions in a method that invokes the effect whenever a dependency changes. And yes, you guessed, that method is our effect method. ` This method behind the scenes is doing something similar to this: ` The handling of activeEffect within Vue's reactivity system is a dance of careful timing, scoping, and context preservation. Let’s go step by step on how this is working all together. When we run our Effect method for the first time, we call the get trap of the Proxy. ` When running the get trap, we have our activeEffect so we can store it as a dependency. ` This coordination ensures that when a reactive property is accessed within an effect, the track function knows which effect is responsible for that access. Trigger Method Our last method makes this Reactive system to be complete. The trigger method looks up the dependencies for the given target and key and re-runs all dependent effects. ` Conclusion Diving into Vue 3's reactivity system has been like unlocking a hidden superpower in my web development toolkit, and honestly, I've had a blast learning about it. From the rudimentary elements of reactive data and instantaneous UI updates to the intricate details involving Proxies, track and trigger functions, and effects, Vue 3's reactivity is an impressively robust framework for building dynamic and responsive applications. In our journey through Vue 3's reactivity, we've uncovered how this framework ensures real-time and precise updates to the UI. We've delved into the use of Proxies to intercept and monitor variable changes and dissected the roles of track and trigger functions, along with the 'effect' method, in facilitating seamless UI updates. Along the way, we've also discovered how Vue ingeniously manages data dependencies through sophisticated data structures like WeakMaps and Sets, offering us a glimpse into its efficient approach to change detection and UI rendering. Whether you're just starting with Vue 3 or an experienced developer looking to level up, understanding this reactivity system is a game-changer. It doesn't just streamline the development process; it enables you to create more interactive, scalable, and maintainable applications. I love Vue 3, and mastering its reactivity system has been enlightening and fun. Thanks for reading, and as always, happy coding!...

Nov 22, 2023

7 mins

VueJavaScriptTypeScriptWeb Development

End-to-end type-safety with JSON Schema

End-to-end type-safety with JSON Schema I recently wrote an introduction to JSON Schema post. If you’re unfamiliar with it, check out the post, but TLDR: It’s a schema specification that can be used to define the input and output data for your JSON API. In my post, I highlight many fantastic benefits you can reap from defining schemas for your JSON API. One of the more interesting things you can achieve with your schemas is end-to-end type safety from your backend API to your client application(s). In this post, we will explore how this can be accomplished slightly deeper. Overview The basic idea of what we want to achieve is: * a JSON API server that validates input and output data using JSON Schema * The JSON Schema definitions that our API uses transformed into TypeScript types With those pieces in place, we can achieve type safety on our API server and the consuming client application. The server side is pretty straightforward if you’re using a server like Fastify with already enabled JSON Schema support. This post will focus on the concepts more than the actual implementation details though. Here’s a simple diagram illustrating the high-level concept: We can share the schema and type declaration between the client and server. In that case, we can make a request to an endpoint where we know its type and schema, and assuming the server validates the data against the schema before sending it back to the client, our client can be confident about the type of the response data. Marrying JSON Schema and TypeScript There are a couple of different ways to accomplish this: * Generating types from schema definitions using code generation tools * Creating TypeBox definitions that can infer TypeScript types and be compiled to JSON Schema I recommend considering both and figuring out which would better fit your application and workflows. Like anything else, each has its own set of trade-offs. In my experience, I’ve found TypeBox to be the most compelling if you want to go deep with this pattern. Code generation A couple of different packages are available for generating TS types from JSON Schema definitions. * https://github.com/bcherny/json-schema-to-typescript * https://github.com/vega/ts-json-schema-generator They are CLI tools that you can provide a glob path to where your schema files are located and will generate TS declaration files to a specified output path. You can set up an npm hook or a similar type of script that will generate types for your development environment. TypeBox TypeBox is a JSON Schema type builder. With this approach, instead of json files, we define schemas in code using the TypeBox API. The TypeBox definitions infer to TypeScript types directly, which eliminates the code generation step described above. Here’s a simple example from the documentation of a JSON Schema definition declared with TypeBox: ` This can then be inferred as a TypeScript type: ` Aside from schemas and types, TypeBox can do a lot more to help us on our type-safety journey. We will explore it a bit more in upcoming sections. Sharing schemas between client and server applications Sharing our JSON Schema between our server and client app is the main requirement for end-to-end type-safety. There are a couple of different ways to accomplish this, but the simplest would be to set up our codebase as a monorepo that contains both the server and client app. Some popular options for TypeScript monorepos are: PNPM, Turborepo, and NX. If a monorepo is not an option, you can publish your schema and types as a package that can be installed in both projects. However, this setup would require a lot more maintenance work. Ultimately, as long as you can import your schemas and types from the client and server app, you are in good shape. Server-to-client validation and type-safety For the sake of simplicity, let's focus on data flowing from the server to the client for now. Generally speaking, the concepts also apply in reverse, as long as your JSON API server validates your inputs and outputs. We’ll look at the most basic version of having strongly typed data on the client from a request to our server. Type-safe client requests In our server application, if we validate the /users endpoint with a shared schema - on the client side, when we make the request to the endpoint, we know that the response data is validated using the user schema. As long as we are confident of this fact, we can use the generated type from that schema as the return type on our client fetch call. Here’s some pseudocode: ` Our server endpoint would look something like this: ` You could get creative and build out a map that defines all of your endpoints, their metadata, and schemas, and use the map to define your server endpoints and create an API client. Transforming data over the wire Everything looks stellar, but we can still take our efforts a bit further. To this point, we are still limited to serialized JSON data. If we have a created_at field (number or ISO string) tied to our user, and we want it to be a Date object when we get a hold of it on the client side - additional work and consideration are required. There are some different strategies out there for deserializing JSON data. The great thing about having shared schemas between our client and server is that we can encode our type information in the schema without sending additional metadata from our server to the client. Using format to declare type data In my initial JSON Schema blog post, I touched on the format field of the specification. In our schema, if the actual type of our date is a string in ISO8601 format, we can declare our format to be "date-time". We can use this information on the client to transform the field into a proper Date object. ` Transforming serialized JSON Data This can be a little bit tricky; again, there are many ways to accomplish it. To demonstrate the concept, we’ll use TypeBox to define our schemas as discussed above. TypeBox provides a Transform type that you can use to declare, encode, and decode methods for your schema definition. ` It even provides helpers to statically generate the decoded and encoded types for your schema ` If you declare your decode and encode functions for your schemas, you can then use the TypeBox API to handle decoding the serialized values returned from your JSON API. Here’s what the concept looks like in practice fetching a user from our API: ` Nice. You could use a validation library like Zod to achieve a similar result but here we aren’t actually doing any validation on our client side. That happened on the server. We just know the types based on the schema since both ends share them. On the client, we are just transforming our serialized JSON into what we want it to be in our client application. Summary There are a lot of pieces in play to accomplish end-to-end type safety. With the help of JSON Schema and TypeBox though, it feels like light work for a semi-roll-your-own type of solution. Another great thing about it is that it’s flexible and based on pretty core concepts like a JSON API paired with a TypeScript-based client application. The number of benefits that you can reap from defining JSON Schemas for your APIs is really great. If you’re like me and wanna keep it simple by avoiding GraphQL or other similar tools, this is a great approach....

Apr 17, 2024

6 mins

JSONTypeScript

How to Manage Breakpoints using BreakpointObserver in Angular

Defining Breakpoints is important when you start working with Responsive Design and most of the time they're created using CSS code. For example: ` By default, the text size value will be 12px, and this value will be changed to 14px when the viewport gets changed to a smaller screen (a maximum width of 600px). That solution works. However, what about if you need to _listen_ for certain breakpoints to perform changes in your application? This may be needed to configure third-party components, processing events, or any other. Luckily, Angular comes with a handy solution for these scenarios: the BreakpointObserver. Which is a utility for checking the matching state of @media queries. In this post, we will build a sample application to add the ability to configure certain breakpoints, and being able to _listen_ to them. Project Setup Prerequisites You'll need to have installed the following tools in your local environment: - Node.js. Preferably the latest LTS version. - A package manager. You can use either NPM or Yarn. This tutorial will use NPM. Creating the Angular Project Let's start creating a project from scratch using the Angular CLI tool. ` This command will initialize a base project using some configuration options: - --routing. It will create a routing module. - --prefix corp. It defines a prefix to be applied to the selectors for created components(corp in this case). The default value is app. - --style scss. The file extension for the styling files. - --skip-tests. it avoids the generations of the .spec.ts files, which are used for testing Adding Angular Material and Angular CDK Before creating the breakpoints, let's add the Angular Material components, which will install the Angular CDK library under the hood. ` Creating the Home Component We can create a brand new component to handle a couple of views to be updated while the breakpoints are changing. We can do that using the ng generate command. ` Pay attention to the output of the previous command since it will show you the auto-generated files. Update the Routing Configuration Remember we used the flag --routing while creating the project? That parameter has created the main routing configuration file for the application: app-routing.module.ts. Let's update it to be able to render the home component by default. ` Update the App Component template Remove all code except the router-outlet placeholder: ` This will allow rendering the home component by default once the routing configuration is running. Using the BreakpointObserver The application has the Angular CDK installed already, which has a layout package with some utilities to build responsive UIs that _react_ to screen-size changes. Let's update the HomeComponent, and inject the BreakpointObserver as follows. ` Once the BreakpointObserver is injected, we'll be able to evaluate media queries to determine the current screen size, and perform changes accordingly. Then, a breakpoint$ variable references an _observable_ object after a call to the observe method. The observe method gets an observable of results for the given queries, and can be used along with predetermined values defined on Breakpoints as a constant. Also, it's possible to use custom breakpoints such as (min-width: 500px). Please refer to the documentation to find more details about this. Next, you may need to _subscribe_ to the breakpoint$ observable to see the emitted values after matching the given queries. Again, let's update the home.component.ts file to do that. ` In the above code, the ngOnInit method is used to perform a _subscription_ to the breakpoint$ observable and the method breakpointChanged will be invoked every time a breakpoint match occurs. As you may note, the breakpointChanged method verifies what Breakpoint value has a match through isMatched method. In that way, the current component can perform changes after a match happened (in this case, it just updates the value for the currentBreakpoint attribute). Using Breakpoint values on the Template Now, we can set a custom template in the home.component.html file and be able to render a square according to the currentBreakpoint value. ` The previous template will render the current media query value at the top along with a rectangle according to the size: Large, Medium, Small or Custom. Live Demo and Source Code Want to play around with this code? Just open the Stackblitz editor or the preview mode in fullscreen. Find the complete angular project in this GitHub repository: breakpointobserver-example-angular. Do not forget to give it a star ⭐️ and play around with the code. Feel free to reach out on Twitter if you have any questions. Follow me on GitHub to see more about my work....

Apr 14, 2022

4 mins

AngularTypeScriptWeb Development

Building a Stripe App: A Step-by-Step Guide to QR Code Generation

Building a Stripe App: A Step-by-Step Guide to QR Code Generation Why Build a Stripe App? I recently participated in an audio space with the Stripe team, and something they said really stuck with me: the Stripe app store is a growing area that isn't overly saturated yet. There's a lot of potential for new apps, and companies can use this opportunity to grow. I work at a company called This Dot Labs, and we've created several Stripe apps and even own one. After looking at the data, I can confirm that the Stripe team was right! Creating a QR Code Generator App For this tutorial, we'll build a QR code app that can take a URL and generate a code for it. This is a good use case to help you understand the ins and outs of Stripe's developer tools. Why QR Codes? QR codes are useful tools that have become common in e-commerce, restaurants, and other industries. While Stripe already has a QR code tool, we'll make our own to familiarize ourselves with their syntax and problem-solving approaches. Project Structure Before we dive into the implementation, let's look at the structure of our Stripe App QR Code project: * .vscode: Contains settings for Visual Studio Code * source/views: Holds the main application views * .gitignore: Specifies files to ignore in version control * stripe-app.json: Defines the Stripe app configuration * ui-extensions.d.ts: TypeScript declaration file for UI extensions * .build: this is where the built Stripe app gets placed. Step-by-Step Implementation 1\. Install Stripe Locally First, you need to install Stripe on your local machine. The documentation provides great instructions for this: * For Mac users: Use Brew to install * For Windows users: Download the package and add it to your environment variables You can find the details here in the stripe docs to install the Stripe CLI https://docs.stripe.com/stripe-cli When using Windows, you must do stripe login from Powershell, NOT from Git bash or any other tool. After the server is up, then you can continue using git bash for everything else. After stripe login, you need to enter stripe apps start. Once you do that, the server is up and running and you can go back to using git bash or any other tool. 2\. Install Dependencies We'll be using an extra package for QR code generation. Install it using npm: ` 3\. Set Up the Main Component Let's look at the home.tsx file, where we'll use Stripe's UI components: ` These components are similar to other UI libraries like Bootstrap or Tailwind CSS. 4\. Create the UI Structure Our app will have: * An input field for the URL * Validation using a regex pattern * Error handling for invalid URLs * QR code generation and display Here is the Home.tsx file that is located in the src/views folder ` * ContextView` is at the top level of the app where we see the Title and the link to the Stripe Docs that we placed in our Context View. * Box is how you use Divs. * Banners can be used to show notification errors or any other item you wish to display. * Textfields are input fields. * Everything else is pretty self-explanatory. 5\. Handle Content Security Policy One problem I personally ran into was when I tried to redirect users, the Stripe policies would block it since I did not express that I knew what it was doing. I had to go into the stripe-app.json file and mention the specific security policies. For this particular exercise, I kept these as null. This is my stripe-app.json file. ` 6\. Configure App Views As you can see here, the stripe-app.json file shows the views for each file I have. The Home.tsx file and the Invoice.tsx are also included This is our way of saying that for each view we have, show the app functionality on that page. Our stripe-app.json file will show it but also, the manifest.js file in our .build folder will also show the same. Any view that doesn't have a file will not show the application's functionality. So, if I were to go to transactions, the app would not show the same logic as the home or invoices page. By following these steps, you'll have a fully functional QR code generator app for Stripe. This is just a simple example, but the potential for Stripe apps is massive, especially for businesses serving e-commerce customers. If you need help or get stuck, don't hesitate to reach out, danny.thompson@thisdot.co. The Stripe team is also very active in answering questions, so leverage them as a resource. Happy coding!...

Dec 18, 2024

4 mins

stripe

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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.

RxJS 7 and Beyond: What to Expect and Prepare For

Better TypeScript typings

toPromise Operator

firstValueFrom

lastValueFrom

RxJS is smaller

RxJS supports the latest TypeScript version

Stability Matters

How TypeScript improved RxJS?

RxJS 7 and Beyond

What about RxJS 9 or even future versions?

RxJS is an Open Source project

Luis Aviles

You might also like

Understanding Vue's Reactive Data

End-to-end type-safety with JSON Schema

How to Manage Breakpoints using BreakpointObserver in Angular

Building a Stripe App: A Step-by-Step Guide to QR Code Generation

Let's innovate together!

You might also like

Understanding Vue's Reactive Data

End-to-end type-safety with JSON Schema

How to Manage Breakpoints using BreakpointObserver in Angular

Building a Stripe App: A Step-by-Step Guide to QR Code Generation