implement season data importer

[Chaos02]

Implemented dynamic SeasonData importer utilizing https://apexlegends.fandom.com/wiki/Season
Also providing has_duos and has_arenas bool for game modes.
TODO: maybe save memory and delete DataFrame?
TODO: maybe implement Caching for website data

[synap5e]

Thanks for this, it's a good start :)

Currently this would lead to scraping the wiki for every game processed and filesystem caching isn't a practical way to mitigate this since the processing is serverless.

I do like using an automated source for the data rather than being a manual process, but to make it work I think we would want to do a scheduled scrape to overtrack's own infrastructure. This would also remove pandas as a dependency for running overtrack, since pandas could just be used as part of the scrape.
The automation could be a github action or a lambda application, each have their pros and cons.
I think the next step would be to split this script into a downloader/parser and a loader.

Downloader/Parser:
Download https://apexlegends.fandom.com/wiki/Season and extract the data to a .json file e.g. could be something like https://api2.overtrack.gg/data/overwatch/seasons
The parser could have pandas or other parsing specific dependancies.

Loader:
_seasons.py would load the json file into the expected data structures. The loader would not need to add any dependencies since its just loading json.

The parser would then run on a schedule and upload to S3