Okay, so today I’m gonna walk you through my adventure with tig records. It was a bit of a rollercoaster, but hey, that’s what makes it fun, right?

It all started when I wanted to really understand the data flowing through my system. You know, get down and dirty with the details. Heard about tig (the text-mode interface for git) and thought, “Why not give it a shot?” Seemed like a cool way to visualize stuff.
First things first, I had to install tig. Pretty straightforward, just used my package manager. Boom, done. Then, I needed to figure out how to actually use it with my records. This is where the fun began.
The initial setup was a little tricky. I was trying to pipe data directly into tig, but it wasn’t playing nice. Everything was just a mess of text. After some serious Googling and a whole lotta trial and error, I realized I needed to format my data into something tig could understand. Basically, think of it like creating a “git log” style output, but for my own data.
I wrote a small script (Python, because why not?) to transform my record data into a suitable format. It involved:
- Parsing my record files (they were in JSON, thankfully).
- Creating a fake commit message for each record.
- Generating a timestamp and author (just used my name for everything, haha).
Then, I stuck all these “commits” into a temporary git repository. Yeah, sounds crazy, but bear with me. I initialized a new git repo, added all my formatted records as files, and committed them with my script-generated messages.

Now for the magic. I navigated tig to that temporary git repository. And…it worked! Sort of. The basic information was there, but it was still a bit clunky. The commit messages were too long, the author info was repetitive, and it wasn’t exactly the beautiful visualization I had envisioned.
So, I tweaked my Python script. Shortened the commit messages, added some extra metadata into the file contents themselves, and modified the tig configuration file to display the data the way I wanted. This involved messing around with tig’s format options (which, let me tell you, is a deep rabbit hole).
After a few hours of fiddling, I finally got it to a point where I was happy. I could now quickly browse through my records, see the important information at a glance, and even search for specific entries. It was way better than sifting through raw JSON files.
Was it the most elegant solution? Probably not. Was it a bit of a hack? Definitely. But did it work? Absolutely! I learned a lot about tig, git internals, and the importance of data formatting along the way. And now I have a pretty sweet way to visualize my records. Plus, I can use all the regular git commands if I need to do something more advanced.
If you’re looking for a way to visualize your own data, I’d say give tig a try. Just be prepared to get your hands dirty and do some serious scripting. It’s worth it in the end!

My advice? Start small, experiment, and don’t be afraid to break things. That’s how you learn!