Angular

ANGULAR NEWS : Javascript Fatigue, App Analytics, Progressive Web Apps, and GraphQL

Oct 28, 2019

5 min read

Join Doguhan Uluca, Sumit Arora, Maxim Salnikov, and Uri Goldshtein as they discuss a number of exciting, new developments in Angular!

Watch the videos below to learn about best practices for approaching problems in Angular. Familiarize yourselves with Redux Beacon for easy Angular app analytics or dive into the hot trend of Progressive Web Applications (PWA).

JavaScript Best Practices

How to Avoid JavaScript Fatigue — Best Practices for Approaching Problems in JavaScript with Doguhan Uluca

Doguhan, a JavaScript & Cloud expert at Excella Consulting, has built many mobile and web solutions for the enterprise sector. He has excellent insight as to what today’s developers are facing when reviewing the overwhelming number of modern web libraries and tools required.

Working with a range of developers at multiple levels of experience, Doguhan finds the current JavaScript development unsustainable. Presently, when faced with a development problem, many individuals rush to find a JavaScript library that would help solve the issue. However, this not only increases the level of JavaScript fatigue, it also gives rise to external dependencies. Much of this can be attributed to the sheer number of packages and libraries available for use.

The best practice, should not be to install new libraries, but rather to solve technical problems within the existing library or technology used. Developers must read over the documentation to double check whether a solution is available first, then move on to searching for external libraries that could help address the specific issue.

Doguhan further elaborates on the best ways to evaluate tools and libraries in this interview.

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Redux Beacon and Analytics

Easy Angular App Analytics with Redux Beacon — An Interview With Sumit Arora

Learn how to get easy app analytics with Sumit Arora using Redux Beacon in this interview.

Sumit and his team at Rangle.io have created a new open source Angular library called “Redux Beacon”, which provides developers with analytics such as user conversion rates. The tool sends data through special events from an Angular application to target analytics engines such as Google Analytics, Google Tag Manager, or custom in-house targets. The data sent is stored and converted to machine learning format. It also extracts valuable insight on user behavior such as how much specific features are used, or what specific user segments (i.e geo-grouped demographics) may be doing. Sumit hopes that with these insights, developers will be able to better predict future behavior of their users.

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PWAs and Angular Mobile Toolkit

Progressive Web Applications With Angular Mobile Toolkit — Discussing This Hot Trend With Maxim Salnikov

Maxim is a Google Developer Expert in Angular, an organizer for NgViking Conference and also a leader of Angular meet-up group in Oslo, Norway.

Lately, his interest has been focused on Progressive Web Applications (PWA) using Angular. He explains why building Progressive Web Applications is one of the hottest trends in web development and how to leverage the Angular Mobile Toolkit for making an app ‘Web Progressive’.

As more and more users move away from desktop applications and onto mobile apps, there are certain things that need to be taken into consideration. Network reliability and speed is one of the most important characteristics to keep in mind. A PWA offers a solution to the problems by providing a framework that enables an offline user experience. As developers move more complex features to the client, the PWA provides greater performance improvements, among its list of benefits.

For a web application to be PWA ‘ready’, there are approxmiately 10 rules that need to be followed. However, as long as the app is built on a progressive layout that resizes on many screen sizes and is served over HTTPS, it can be converted to PWA. In addition, as most web apps already are, they should be linkable and searchable as well.

The goal of the Angular Mobile Toolkit is to create a PWA automatically. The toolkit serves to automatically generate the App Shell which creates the minimal HTML, CSS and JavaScript required to power the user interface. The Service Worker, a script which the browser runs on in the background, provides offline functionality by rendering the cached content. This ensures instant and reliably good performance to users on repeat visits.

Great examples of PWAs include the Twitter mobile web app, Financial Times and Forbes.

With any tool, one should be careful when implementing PWA with their caching. Take careful consideration inthe number of files and size to be cached, in order to avoid reaching the cache limit. Moreover, developers should ensure clean up of the old cached version before caching the new version.

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GraphQL + Angular Components

Uri Goldshtein on why you should be using GraphQL with your application

Uri Goldshtein, an expert at Apollo & GraphQL team at angular-meteor.com, explains why big enterprises like banks (i.e. Capital One), or consumer facing companies like Facebook and AirBnb, adopted GraphQL to help with their data management. He also elaborates on its benefits from both ends — the enterprises and their clients.

GraphQL is a powerful application layer query language that creates a data contract between the client and server. The client developer can create a GraphQL query on the data within the data rule constraints (set by the server-side developers). There are efficiencies for the client developers to query the data they need and for the server-side developers describing the data for their clients to consume.

Setting up GraphQL server is easy and developers can do so using the language of their choice. This is possible due to its ability to work independently from client-side and server-side developers. It can be adopted by backend developers, product managers, or client developers, and everyone can enjoy performance benefits from using it.

When using GraphQL with Angular components, it is the layer that all components share centrally without having to worry about the structure of the data on other server. More efficiency is gained by this framework since there are less server requests by the client, which reduces network latency and a provides a more robust user experience.

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We hope you enjoyed this article. For more information on Angular, be sure to check out http://angular.io.

This article was co-written by Sara Nopsittiporn and Tracy Lee.

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.

QR Code Scanning & Generation

QR Code Scanning & Generation with ZXing and Angular QR codes provide a very valuable way of sharing information with users, and many applications rely on them for various purposes. Common examples of places where QR codes can be useful include but are not limited to theaters, social gatherings and other booking services. Integrating QR codes can seem intimidating, but thankfully they’re not too difficult to handle with Angular and the help of a couple of robust software libraries such as ZXing. What is ZXing? ZXing, also known as “Zebra Crossing” is a software library that allows developers to easily integrate scanning many different types of 1D and 2D barcodes. This library was originally written in Java, however many ports to other languages and platforms exist, including JavaScript. There are a couple of ways to use ZXing. You could either directly use the JavaScript library, which is framework-agnostic, or you could use a framework-specific library. I’m going to demonstrate how to use ZXing to scan QR codes with the Angular version of the library called ngx-scanner specifically, which has a full-fledged scanner component that makes it somewhat easy to integrate. Let’s Scan some QR Codes with Angular! Getting ngx-scanner up and running doesn’t take much setup at all. All you have to do is add an import to ZXingScannerModule inside of the module that you will be scanning QR codes in, and add a component to your template. Below shows a real-world example of how the component would be used. ` You’ll notice a lot of observables being referenced here. I’ll go over them one by one. Let’s start with the devices subject: ` This subject has data sent to it whenever cameras have been identified by the scanning component. We want to keep track of these so that we’re able to select a camera to use. In our case we’ll just select the first camera for simplicity's sake, as you can see happens with the selectedDevice$ observable that we have bound to the [device] attribute on the scanner: ` We utilize shareReplay here so we don’t need to re-scan the devices whenever additional subscribers check what devices are available. enable$ is a simple observable that emits true whenever devices have been detected, and startCamera$ is an observable that toggles between true and false whenever data is pushed to the toggleCamera$ subject. ` The scan function from RxJs is utilized so we have the previous state and can use that to determine in which direction the stored boolean should toggle to. Finally we push successfully scanned codes to scanSuccess$ which we can then subscribe to in the template. All together the final component code should look something like this: ` If we use this component then you should get something that looks like this: Scanning QR codes is awesome, but we can also generate our own QR codes as well! Generating our own QR Codes Unfortunately the ZXing scanner component we’re using is limited to just scanning QR codes, however there is another component library called ngx-kjua that can do this. Like ZXing this component is also based off of another pre-existing library that is framework-agnostic, in this case, kjua. Fortunately kjua is very easy to use. You simply supply it a code and it will render a QR code. ` How the QR code is rendered can change. There is an optional [render] attribute that you can specify that takes a few values. You can input ‘image’, ‘canvas’ or ‘svg’. The default render mode is ‘svg’. It should be noted that ‘svg’ and ‘canvas’ render modes made copying the image more difficult, so use ‘image’ if you want to make that possible. The component code associated with this template is very small. The component using ngx-kjua has a code observable that is updated with a new random code whenever a “Generate” button is pressed. ` I’ve opted to go with the randomstring package in this case. This component could be modified to instead allow for custom codes using a textbox if you want to encode URLs or other useful values that typically go inside of QR codes. The result looks like this: Summary Thanks to projects like ZXing and kjua it is easy to integrate handling of QR codes in Angular applications, be it for scanning them or creating them. I hope this guide has helped you. You can find the full example showcasing generation and scanning of QR codes in our blog-demos repository on GitHub....

Dec 13, 2023

4 mins

Angular

Using HttpClient in Modern Angular Applications

Introduction With all the wonderful treats that the Angular team has given us during the recent "renaissance" era, many new developers are joining in on the fun. And one of the challenges they'll face at some point is how to call an API from your Angular application properly. Unfortunately, while searching for a guide on how to do this, they might stumble upon a lot of outdated information. Hence, this article should serve as a reliable guide on how to use the HttpClient in Angular >= 17. The Setup To make an HTTP request in Angular, you can take advantage of the HttpClient provided by the @angular/common/http package. To use it, you'll need to provide it. Here's how you can do that for the whole application using the bootstrapApplication function from @angular/platform-browser: ` With that, you should be good to go. You can now inject the HttpClient into any service or component in your application. Using HttpClient in Services Let's take a common example: You have a database object, say a Movie, and you want to implement CRUD operations on it. Typically, you'll want to create a service that provides methods for these operations. Let's call this service MovieService and create a skeleton for it with a method for getting all movies. ` Implementing the Method using HttpClient Let's assume we have a GraphQL API for our movies. We can implement our getAllMovies using HttpClient to make a request to fetch all movies. First, we will need to define a new type to represent the response from the API. This is especially important when you are using GraphQL, which may return a specific structure, such as: ` When working with a real API, you'll likely use some code generator to generate the types for the response from the GraphQL schema. But for the sake of this example, we'll create an interface to represent the response manually: ` Now, we can implement the getAllMovies method using HttpClient: ` > Note: The post method is used here because we are sending a request body. If you are making a GET request (e.g. to a REST API), you can use the get method instead. The getAllMovies method returns an Observable of MoviesListResponse. In this example, I have typed it explicitly to make it obvious at first glance, but you could also omit the type annotation, and TypeScript should infer it. > Note: While I'm excited about signals as much as the next guy, making HTTP requests is one of the typical async operations for which RxJS Observables are a perfect fit, making a great argument for RxJS still having a solid place in Angular alongside signals. Using the Service in a Component Now that we have our MovieService set up, we can use it as a component to fetch and display all movies. But first, let's create a Movie interface to represent the structure of a movie. Trust me, this will prevent many potential headaches down the line. Although using any at the beginning and implementing the types later is a valid approach in some cases, using data fetched from an API without validating the type will inevitably lead to bugs that are difficult to solve. ` Now, we can start implementing our standalone MoviesComponent: ` In this component, we are calling the getAllMovies method from the MovieService in the constructor to fetch all movies and assign them to the movies property which we will use to display the movies in the template. ` In this case, placing our code inside the constructor is safe because it doesn’t depend on any @Input(). If it were, our code would fail because the inputs aren’t initialized at time of instantiation. That's why it is sometimes recommended to place logic in ngOnInit instead. You could also put this call in an arbitrary method that is called e.g. on a button click. Another way to handle the subscription is to use the async pipe in the template. This way, Angular will automatically subscribe and unsubscribe from the observable for you and you won't have to assign the response to a property in the component. Due to the structure of the returned data, however, we'll need to use the RxJS map operator to extract the movies from the response. ` > Note using the pipe method to chain the map operator to the observable returned by getAllMovies. This is a common pattern when working with RxJS observables introduced in RxJs 5.5. If you see code that uses the map operator directly on the observable and wonder why it isn't working for you, it's likely using an older version of RxJS. Now, we can simply apply the async pipe in the template to subscribe to the observable and display the movies: ` Conclusion HttpClient in Angular is pretty straightforward, but with all the changes to RxJS and Angular in the past few years, it can pose a significant challenge if you're not super-experienced with those technologies and stumble upon outdated resources. Following this article, you should hopefully be able to implement your service using HttpClient to make requests to an API in your modern Angular application and avoid the struggle of copying outdated code snippets....

Mar 27, 2024

4 mins

AngularJavaScript

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 Go from Software Engineer to AI Engineer with Shawn Wang

Shawn Wang discusses AI engineering’s potential impact on the software development labor market and developer experience. With the rise of artificial intelligence technologies, there is an increasing demand for professionals who can bridge the gap between AI and software engineering, and engineers are looking around for guidance on how to best learn AI. Shawn emphasizes the importance of acquiring core knowledge and skills in AI engineering, highlighting the need for a systematic approach to education and development. He envisions a future where AI engineering becomes a recognized profession, with specialized training programs and certifications. He further talks about mental models for approaching AI literacy, and skill building. Shawn also discusses the use of advanced AI technology in software development. He showcases tools like GPT Vision, which can automate tasks and generate code efficiently. While acknowledging the potential of AI in enhancing productivity, Shawn emphasizes the need to leverage AI tools to augment human capabilities rather than replace them. Download this episode here....

Apr 17, 2024

1 min

Artificial IntelligenceEngineering Leadership

ANGULAR NEWS : Javascript Fatigue, App Analytics, Progressive Web Apps, and GraphQL

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QR Code Scanning & Generation

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