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Ktor: Altering served content

When serving files with Ktor, there might be times when you need to alter those files. For example, you might want to inject a script in every served HTML file. For this purpose, we can leverage plugins. Plugins can hook at different stages of the request/response pipeline: Ktor request/response pipeline Let’s write a plugin that transforms a specific type of files - going with the previous example of injecting a script to every served HTML file.

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Serving static files with Ktor

Serving static files with Ktor for a static website seems easy enough: fun main() { embeddedServer(Netty, port = 8080) { routing { static { files("static-data") } } }.start(wait = true) } Done? Not quite. Opening http://localhost:8080 will only get you a 404, even if you have an index.html file in the static-data folder. You have to let Ktor know you want to opt-in serving a default file. Let’s try again (omitting anything outside the static block):

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Writing a Bazel rule set

This post will cover two things: How to run an arbitrary tool with Bazel (in this case, PlantUML, a tool to generate diagrams), by writing a rule set How to test this rule set. It should be mentioned that while I was working on this rule set, it became more and more apparent PlantUML is not a great candidate for this kind of integration, as its output is platform-dependent (the font rendering).

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Compiling a Kotlin application with Bazel

This post will describe how to compile a small application written in Kotlin using Bazel, tests, as well as how to use static analyzers. Phosphorus Phosphorus is the application that this post will cover. It’s a small utility that I wrote to check if an image matches a reference. If it doesn’t, Phosphorus generates an image highlighting the differences. The goal is to be able to check that something generates an image in a given way, and doesn’t change - at least if it’s not expected.

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Why Bazel?

In this post, we’ll cover what Bazel is, how to use it, and why I chose to use it. What is Bazel? Bazel is a build-system released by Google in 2015. It actually is derived from the internal build-system Google uses internally for most of its own code-base, called Blaze. Building at scale Bazel has a huge focus on hermetic builds, and reproducibility. Every build step is, from a really broad perspective, defined as a list of inputs, tools, and outputs.

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