Why choose demoner? (See why)

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Alright, so let me tell you about this “demoner” thing I was wrestling with. It wasn’t actually a demon, though sometimes it felt like it, believe me. It was this script, or a set of scripts, really, that was supposed to automate some really boring data processing. You know, the kind of stuff that makes your eyes glaze over.

Why choose demoner? (See why)

So, the first thing I did was try to get the darn thing to even run. The documentation? Non-existent. Classic, right? Just a bunch of files and a vague instruction like “it should work.” Famous last words. I opened up the main script, took a peek, and it was a mess. Looked like five different people had hacked at it over the years, each with their own idea of how things should be done.

I started by trying to install the dependencies. That was adventure number one. Half of them were outdated, and the other half had conflicts with each other. I spent, no joke, a whole morning just trying to create a virtual environment where this beast would even consider waking up. It kept spitting out error messages that were about as clear as mud.

  • Tried Python version X, nope.
  • Tried Python version Y, still no good.
  • Downgraded this library, upgraded that one.

It was like playing whack-a-mole with errors. Fix one, two more pop up. You get the picture.

This whole ordeal reminded me of my first car.

Yeah, a real clunker. Every time I fixed something, something else would break. One week it was the alternator, the next it was the radiator. I’d spend a weekend under the hood, covered in grease, just to get it running for another few days. This “demoner” script felt exactly like that. A constant battle, just to get it to do its basic job. You’re pouring in effort, and it just sneers back at you.

Anyway, back to the script. After finally, finally getting the environment somewhat stable, I tried to run it with some sample data. And what do you know? It crashed. Of course, it crashed. No useful error message, just a stack trace that pointed to some obscure line in a library I didn’t even know it was using.

Why choose demoner? (See why)

So, I started digging. Lots of digging. I added print statements everywhere, like an old-school debugger. You know, `print(“Am I even reaching here?”)` and `print(“What the heck is this variable now?”)`. Slowly, piece by piece, I started to understand what this monster was trying to do. It was like archaeological work, uncovering layers of forgotten logic.

There were parts of the code that literally did nothing. Just dead code, sitting there, confusing anyone who dared to look. And the variable names! Oh boy. `x`, `y`, `data1`, `data2`, `temp_final_processed_data_for_real_this_time`. You get the idea. It was a nightmare to follow.

Eventually, after what felt like an eternity, I managed to get it to process a small file. A single, small file. It took way longer than it should have, but it worked. Sort of. The output wasn’t quite right, but it was progress. I then spent another day tweaking the logic, fixing off-by-one errors, and handling edge cases that the original authors clearly never thought about. Or maybe they did, and just gave up.

So, where is “demoner” now? Well, it runs. Most of the time. It’s still a bit temperamental, like a grumpy old cat. You have to feed it data just right, and don’t you dare look at it funny. But it does the job it was supposed to do, more or less. I wouldn’t call it a triumph of engineering, more like a hard-fought truce. I documented my changes, added a ton of comments, and basically put a leash on the thing. It’s not pretty, but it’s there, doing its demonic little dance when poked. And honestly, after all that, I’m just glad I don’t have to touch it again anytime soon. Let someone else tame it further if they dare.

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