## Summary
Packages that provide scripts that _aren't_ Python entrypoints need to
respected in `uv tool install`. For example, Ruff ships a script in
`ruff-0.5.0.data/scripts`.
Unfortunately, the `.data` directory doesn't exist in the virtual
environment at all (it's removed, per the spec, after install). So this
PR changes the entry point detection to look at the `RECORD` file, which
is the only evidence that the scripts were installed.
Closes https://github.com/astral-sh/uv/issues/4691.
## Test Plan
`cargo run uv tool install ruff` (snapshot tests to-come)
This is the minimal "working" implementation. In summary, we:
- Resolve the requested requirements
- Create an environment at `$UV_STATE_DIR/tools/$name`
- Inspect the `dist-info` for the main requirement to determine its
entry points scripts
- Link the entry points from a user-executable directory
(`$XDG_BIN_HOME`) to the environment bin
- Create an entry at `$UV_STATE_DIR/tools/tools.toml` tracking the
user's request
The idea with `tools.toml` is that it allows us to perform upgrades and
syncs, retaining the original user request (similar to declarations in a
`pyproject.toml`). I imagine using a similar schema in the
`pyproject.toml` in the future if/when we add project-levle tools. I'm
also considering exposing `tools.toml` in the standard uv configuration
directory instead of the state directory, but it seems nice to tuck it
away for now while we iterate on it. Installing a tool won't perform a
sync of other tool environments, we'll probably have an explicit `uv
tool sync` command for that?
I've split out todos into follow-up pull requests:
- #4509 (failing on Windows)
- #4501
- #4504Closes#4485
Update #1918 to handle https://github.com/pypa/pip/pull/12536, where pip
removed their python minor entrypoint. The pip test is semi-functional
since it builds pip from source instead of using a wheel with the wrong
entrypoint, we have to update it when this pip version has a release.
Closes#1593.
Address a few pedantic lints
lints are separated into separate commits so they can be reviewed
individually.
I've not added enforcement for any of these lints, but that could be
added if desirable.
Users expect pip to have `pip`, `pip3` and `pip3.x` entrypoints. But pip
is a universal wheel, so it contains the `pip3.x` entrypoint where it
was built on. To fix this, pip special cases itself when installing
(3898741e29/src/pip/_internal/operations/install/wheel.py (L283)),
replacing the wheel entrypoint with one for the current version. We now
do the same.
Fixes#1593
This PR massively speeds up the case in which you need to install wheels
that already exist in the global cache.
The new strategy is as follows:
- Download the wheel into the content-addressed cache.
- Unzip the wheel into the cache, but ignore content-addressing. It
turns out that writing to `cacache` for every file in the zip added a
ton of overhead, and I don't see any actual advantages to doing so.
Instead, we just unzip the contents into a directory at, e.g.,
`~/.cache/puffin/django-4.1.5`.
- (The unzip itself is now parallelized with Rayon.)
- When installing the wheel, we now support unzipping from a directory
instead of a zip archive. This required duplicating and tweaking a few
functions.
- When installing the wheel, we now use reflinks (or copy-on-write
links). These have a few fantastic properties: (1) they're extremely
cheap to create (on macOS, they are allegedly faster than hard links);
(2) they minimize disk space, since we avoid copying files entirely in
the vast majority of cases; and (3) if the user then edits a file
locally, the cache doesn't get polluted. Orogene, Bun, and soon pnpm all
use reflinks.
Puffin is now ~15x faster than `pip` for the common case of installing
cached data into a fresh environment.
Closes https://github.com/astral-sh/puffin/issues/21.
Closes https://github.com/astral-sh/puffin/issues/39.
