Simpler stats rewrite

[Antar1011]

At this point, it's kinda obvious that Onix has stalled out. I regret nothing, in that I learned a metric ton about SQLAlchemy, CICD, packaging, documentation...

but at the end of the day, Onix is probably over-engineered.

I'd like to spec out an "80/20" stats rewrite solution--something that's robust and easily maintained, but not nearly as complex as Onix.

I'm thinking:

• preserve the current workstream (read logs into intermediate files, process intermediate files into stats)
• clean up and modularize code, adhering to coding best practices (four spaces instead of tabs!)
• some amount of unit tests (probably more for the high level stuff like the tier update code, rather than the low-level log-reading)
• move as much of the bash logic into python as possible (glob! concurrent.futures!)
• optimize workstream by doing stuff like computing stats for all baselines at once
• pull code from Onix where appropriate (Contexts are nice)
• py3 only -- I just find it super painful to write py2 code now. Don't worry about pypy--if I want performance, I'll see if I can numbafy anything.

I'm thinking the rewrite will live in this repo.

It's probably still going to be months before I can get around to tackling this, but the reduction in scope should make this actually attainable.