I don't think there's anything wrong with project_model depending on
proc_macro_api directly -- fundamentally, both are about gluing our pure
data model to the messy outside world.
However, it's easy enough to avoid the dependency, so why not.
As an additional consideration, `proc_macro_api` now pulls in `base_db`.
project_model should definitely not depend on that!
Our project model code is rather complicated -- the logic for lowering
from `cargo metadata` to `CrateGraph` is fiddly and special-case. So
far, we survived without testing this at all, but this increasingly
seems like a poor option.
So this PR introduces a simple tests just to detect the most obvious
failures. The idea here is that, although we rely on external processes
(cargo & rustc), we are actually using their stable interfaces, so we
might just mock out the outputs.
Long term, I would like to try to virtualize IO here, so as to do such
mocking in a more principled way, but lets start simple.
Should we forgo the mocking and just call `cargo metadata` directly
perhaps? Touch question -- I personally feel that fast, in-process tests
are more important in this case than any extra assurance we get from
running the real thing.
Super-long term, we would probably want to extend our heavy tests to
cover more use-cases, but we should figure a way to do that without
slowing the tests down for everyone.
Perhaps we need two-tiered bors system, where we pull from `master` into
`release` branch only when an additional set of tests passes?
