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In this post we will showcase the three Kor UI themes inspired in well-known websites or web apps. We have chosen Twitch, GitHub and Spotify as references because of their harmonious base colors, rich use of accent colors and typography.

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1. Since the onset of the COVID-19 pandemic, we’ve been identifying ways that Spotify can help make an impact around the world. Spotify has always been focused on creating connections between artists and their fans, using music and podcasts to help break down barriers and build stronger communities.
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We will cover mainly two aspects of theming: customizing global variables (such as shadows, fonts and colors) and local component styles (such as border radius or tabs size).

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Theme 1: Twitch

The user interface of Twitch is easily recognisable mainly for its moderate use of purple as an accent color and mostly grayscale base colors with a blue tint. A few component styles had to be set to match those used currently in the app.

Key elements of the theme:

• Base colors were set to blue-ish dark gray tint
• Accent color was set to a bright purple
• Shadows were removed (except for app and nav bars)
• Fonts were set to the default sans-serif
• Tab items were set to have accent font color when active or hovered and paddings got removed
• Inputs got their bottom border removed and border radius increased

Theme 2: Github

In the last year, GitHub got a refresh in its UI and the new theme relies heavily on rounded corners and outlined shapes. Accent colors vary from case to case and another unique detail is the fact that the app bar has a mostly dark theme while the rest of the UI is based on a light color scheme.

Key elements of the theme:

• Base color of side panels was set to white and page base colors to a lighter shade of gray
• Accent color was set to a dark shade of green
• Shadows were replaced with thin outlines
• Fonts were set to the default sans-serif
• App bar theme was set to dark and base color changed to a dark shade of blue
• Tab items had their active state indicator switched to orange

Theme 3: Spotify

Spotify’s UI are mostly recognised by the pill-shaped buttons and monochromatic color scheme except for the use of green as the main accent color. The brand typography is also quite unique and recognisable through its circular capitals and wide characters.

Key elements of the theme:

• Base colors were slightly adjusted
• Accent color was set to a dark shade of green
• Shadows were removed
• Fonts were set to ‘Raleway’ (closest open source match to - Spotify’s own ‘Circular’ font)
• Buttons had their min-width and border-radius increased, while fonts got capitalised

Conclusion

In this post we have covered the basics of how themes can be created using Kor UI and we have chosen three popular websites or web apps as examples to showcase how it can be done.
These themes are public and can be used or modified by anybody. If you would like to know more about creating or modifying themes, we recommend checking the following post:

As a Scala programmer developing Web applications, it is usually uncomfortable to move from a tidy, functional, and type-safe Scala back-end to an often subpar JavaScript front-end. Luckily for us, there are already some strong and mature alternatives to the Web’s (not so) lovely lingua franca.

Scala.js is an implementation of Scala, authored by Sébastien Doeraene, which compiles Scala code to JavaScript (as opposed to JVM bytecode). It supports full bilateral interoperability between Scala and JavaScript code and therefore allows us to develop front-end Web applications in Scala using JavaScript libraries and frameworks. It also promotes less code duplication for a typical Scala Web application by allowing us to reuse the models and business logic developed for the back-end on the front-end.

React, on the other hand, is a Web framework for building user interfaces in JavaScript, developed and maintained by Facebook and other companies. It promotes a clean separation between declaratively updating the application state as a response to user events and the rendering of the views based on said state. The React framework is therefore particularly suited for the functional programming approach we use when programming in Scala.

We could use React directly in Scala.js, but thankfully David Barri has authored scalajs-react: a Scala library which provides a set of wrappers for React in order to make it type-safe and friendlier to use in Scala.js. It also provides some useful abstractions, such as the Callback type: a composable, repeatable, side-effecting computation to be run by React.

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This post is the first part of a tutorial on how we’re building front-end Web applications at e.near using scalajs-react. Part 1 focuses on setting up a pure Scala.js project, while part 2 will focus on mixing Scala.js and “standard” JVM Scala code. I’m assuming you are an intermediate/advanced user of Scala and at least familiar with HTML and the Bootstrap framework. Previous experience with JavaScript or the React framework is not required.

The end result will be a simple Web app, using Spotify’s public API, for looking up artists and listing their albums and tracks (which you can preview here). Although simple, this example should be able to give you an understanding on how to model Web apps in Scala.js React, including reacting to user input, calling a REST API via Ajax, and updating the displayed output.

For reference, all the code showed in this post is available at https://github.com/enear/scalajs-react-guide-part1.

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Setup

A quick way to get started with a Scala.js project is to clone Sébastien Doeraene’s example app.

You’ll need to add in scalajs-react’s dependencies:

The Scala.js SBT plugin introduces the jsDependencies setting. It allows SBT to manage JavaScript dependencies using WebJars. These are then compiled to <project-name>-jsdeps.js.

To compile our own code, we can run fastOptJS (moderate optimizations - for development) or fullOptJS (full optimizations - for production) inside an SBT session. This will produce the artifacts <project-name>-fastopt/fullopt.js and <project-name>-launcher.js. The former contains our compiled code, while the latter is a script which simply calls our main method.

We’ll also need an HTML file with an empty <div> tag where React will include our rendered content.

Building React components

An entrypoint for Scala.js is defined by extending the JSApp trait. This will ensure our object and its main method is exported to JavaScript under their fully qualified names.

scalajs-react provides a Router class for managing the multiple React components of an SPA (single-page application), but that is out of the scope for this tutorial, since our app consists of a single React component, which we will render inside the 'playground' tag.

All React components must define a render method, which returns HTML as a function of its arguments and/or state. Our component requires no arguments, hence the Unit type parameter, but it requires a state of type TrackListingState. We are delegating this component’s rendering to the TrackListingOps, where we can define methods that manage our state.

Our app’s state will consist of:

The Album and Track types will be defined in the next section.

For other ways to build React components, you may refer to the examples here.

Calling a REST API

We will need to use 3 endpoints from Spotify’s public API:

This API returns objects in JSON, which can be natively parsed by JavaScript. We can take advantage of this in Scala.js by defining façade types which act as an interface between Scala’s and JavaScript’s object models. To do this we annotate a trait with @js.native and extend it from js.Object.

Finally, we can call Spotify’s API asynchronously with Scala.js’s Ajax object (which conveniently returns a Future, thus ensuring you don’t go down the highway to callback hell).

For more ways to interact with JavaScript code, you may refer to Scala.js’s documentation here.

Rendering the HTML

We now define our render method inside TrackListingOps, as a function of the state:

This may be overwhelming if you’re unfamiliar with Bootstrap, but keep in mind that this is nothing more than typed HTML. Tags and attributes are written as methods of objects < and ^, respectively (after importing japgolly.scalajs.react.vdom.prefix_<^._).

The odd arrows (--> and >) are used for mapping attributes to event handlers, which are defined as Callbacks:

• --> takes a simple Callback argument
• > takes a (ReactEvent => Callback), which is useful when you need some value that was captured from the triggered event.

You may refer to scalajs-react’s documentation here for a more detailed look at how to create virtual DOM.

Reacting to events

All that’s left is to define our event handlers.

Let us have another look at our TrackListingOps class definition:

The constructor argument, $, provides an interface for updating the application state with setState and modState. We can define lenses for each of the fields of our state for a more concise updating.

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Now, as you may recall we’re using 3 event handlers:

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• updateArtistInput when the artist input field changes
• updateTracks when the selected album is changed
• searchForArtist when the search button is pressed

Let us start with updateArtistInput:

The setState and modState methods don’t perform a destructive update when they’re called but return the corresponding callback instead, so we’re all set.

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For updateTracks, we need an asynchronous callback, since we must lookup an album’s tracks. Luckily, we can convert a Future[Callback] into an asynchronous Callback with Callback.future:

Finally, let’s define searchForArtist which requires looking up all 3 endpoints and fully updating our state:

Final notes

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That concludes the tutorial. If you’ve made it this far, you should now be able to model front-end Web applications using purely functional constructs in Scala.js. If I’ve picked your interest, be sure to check out both Scala.js’s and scalajs-react’s documentation.

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Keep posted for part 2, which will focus on building a full-stack Scala Web application and how we can share a set of models and common logic between back-end and front-end code.