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This does a lot of changes already. What is definitely not working yet
are the tests, as they still try to put the data into the database - but
that should be easy to fix.
The convenience methods Track.{length,uphill,...} were a bit stupid to
fix, as our template code assumed that those attributes can just be
accessed. As a fix, I've introduced a new class that "re-introduces"
those and can lazily load them from the disk in case the cache does not
exist. This works pretty well, but is not too nice - we end up with a
lot of "proxy" properties.
Other than that, I'm positively surprised how well this has worked so
far, the upgrade scripts seem to be doing good and serving the file
straight from the disk seems to work nicely as well. What isn't tested
yet however is "edge cases", in case a data directory goes missing, ...
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The Poetry FAQ[1] gives some options on how tox and poetry can be used
together, since both of them want to do the virtual env managing. Since
we mostly want to use tox as a venv manager and to easily run multiple
linters, and we want to have poetry do the dependency management, the
method of explicitely using `poetry install` seems to be the most
reasonable. This means we don't have to generate a requirements.txt file
or make duplicated listings of our dependencies in tox.ini.
[1]: https://python-poetry.org/docs/master/faq/#is-tox-supported
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This seems like something we should do rather earlier than later. Using
black takes away the pain of manually formatting the code, adhering to
the style guidelines and it takes away bikeshedding over minor things.
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This is the first step, in the next step, we should actually use
request.config.
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importlib.metadata was introduced in 3.8 :-(
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setup.py is the very old style for packaging, so I wanted to replace it
with something more "modern". pyproject.toml seems like the way to go in
the future.
At first, I wanted to simply configure setuptools using pyproject.toml,
but that support is in beta and seemed to cause some issues with the tox
virtualenvs.
Poetry seems to work fine and provides a better dependency resolver
(given that dependencies are actually specified well) and some other
goodies. For users, nothing much should change, as "pip install" still
works.
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