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ez-txt2html
ezTxt2Html is a simple open-source Python program that converts .txt or .md into HTML files (.html). You can use it to convert individual text files or all text files in a directory.
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I set out to add further development and contribution tools to my ez-txt2html converter. Specifically, I wanted to introduce an initial Continuous Integration workflow. For this, I used the “Python Application” workflow template in Github Actions to create a CI testing workflow that builds a Py v3.12 environments, builds the project dependencies, runs Flake8 linting and Black formatting and then subsequently runs PyTest using the test suites I’ve written previously.
I set out to add further development and contribution tools to my ez-txt2html converter. Specifically, I wanted to introduce an initial Continuous Integration workflow. For this, I used the “Python Application” workflow template in Github Actions to create a CI testing workflow that builds a Py v3.12 environments, builds the project dependencies, runs Flake8 linting and Black formatting and then subsequently runs PyTest using the test suites I’ve written previously.
On the other end of the frustration spectrum, I was able to look at what one of my peers has been doing with a similar static site generator (text to html converter) application. This is a TypeScript project I have also contributed some code to in the past, where I discussed some of the initial challenges of configuring the project environment, which required me to setup Windows Subsytem for Linux. This project utilized Bun as an alternative to node.js to build and run the application. While there was an initial implementation curve that took a lot of work to get through, however my current task of contributing some additional tests to the existing test suites, was seamless utilizing the tools provided by Bun. The simplicity and ease of Bun’s built-in test environment really made the process effortless. Now I was just adding to an exiting test setup, so I can’t speak on the process to get Bun configured, but writing and running test with the provided tools was very easy, particularly in comparison to configuring the PyTest environment for my project.