Throughout this series, we'll introduce the Japa testing framework, which comes prepackaged with most AdonisJS starter kits. We'll understand how it integrates with AdonisJS, the CLI options it provides, it's assertion library, plugins, and more.
In this ongoing series, we'll cover various scenarios you're likely to run into while developing or maintaining an AdonisJS application. Topics will range from authentication challenges to database management, testing, and more.
In this series, we'll build a server-rendered mutli-search utilizing Meilisearch, Unpoly, and a sprinkle of AlpineJS. We'll setup factories and seeders to make fake data to allow us to index and search against books, authors, and genres simultaneously!
Quick tips, lessons, and screencasts covering specific topics on AdonisJS.
In this series, we'll add a API, using Opaque Access Tokens for authentication, to a preexisting web application. We'll implement dual-guard authentication, add a token management panel, and authenticate our API directly with an organization model!
In this lesson, we'll learn about the various ways we can use the Ace CLI and Japa's test runner to execute all, some, or individual tests.
In this lesson, we'll write our first test with Japa and learn about spec files, as well as the three key components of crafting a good test: arrange, act, and assert.
In this lesson, we'll pull down the starter project for this series and use it to discuss how Japa is integrated within AdonisJS projects.
In this lesson, we'll discuss what the benefits of testing are, what we should focus on when testing, and give a brief introduction to this series.
In this lesson, we'll learn how to generate dynamic Open Graph (OG) images using AdonisJS and Puppeteer. We'll also add rate limiting to limit the number of OG images being generated at once and discuss some things to watch out for.
In this lesson, we'll learn how we can remove documents from a Meilisearch index as records are deleted from our application. For this, we'll deindex author documents when a user deletes their account in our application.
In this lesson, we'll learn how we can dynamically index documents in Meilisearch as records are created within our application. For this, we'll index a new author document when a user registers within our application.
In this lesson, we'll piece everything together into our final multi-search by searching across our book, genre, and author indexes within Meilisearch with a single call. We'll also discuss how we can get a single federated result array back if desired.
In this lesson, we'll install and configure Unpoly to handle our search form's submission. We'll then server-render the search's results using EdgeJS and return it back as our response for Unpoly to swap in-place directly in the working document.
In this lesson, we'll learn how to perform a full-text search with Meilisearch while also building the structural base for what will eventually serve as our multi-search autocomplete.
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