Devlog #4:
I added a new command! It allows you to either mark a game as favorite or remove your favorite. This required me to grab an authentication token from the device, which requires the Airship game to be installed and logged into. Simply pulling the app’s auth file wasn’t enough however, and I had to use local auth data to fetch an access token.
Devlog #3:
Today I did a LOT of refactoring and pushed many many bug fixes! One of the major updates is organizing the commands into categories based on their API. User data is under “Users”, game data is under “Games”, etc… I also made a new command yay! This command fetches the user’s profile picture and returns the CDN reference to it.
Devlog #2:
I cleaned up the data logging so you can choose between the most important data or all of it! The UX has been improved and errors are now nicely displayed to the user.
Devlog #1:
A while ago I became very invested in a gaming platform called Airship.gg. Almost everything is open source and I thought it would be fun to interact with its API. Currently you can fetch information about published games and active users on the platform. I hope to map the entire API with this CLI tool.
Devlog #3:
I really don’t want to pay for web hosting so I figured out how to start up a local GitHub Runner for actions. I wrote a basic workflow to deploy LPlot to my domain and it works! My next task is to create a dashboard for creating and viewing your lighting plots. For anyone interested in following my progress, you can find the site here: https://lplot.dodoseal.com
(note that account creation is disabled until the project is stable)
Devlog #2:
I finally implemented account creation and login! I decided to use Firebase for account management for its user-friendliness and simplicity. Currently accounts use email/password, but soon Discord and GitHub OAuth will work too!
This is my first time using Svelte and it’s been amazing! 😁 LPlot is like VectorWorks, a simple 2D sketch software for designing lighting plots for theatrical productions. In my 3 hours of work, I have become comfortable working with Svelte, designed login and account creation, and started building backend data management.
