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feat: (WIP) Add pypi_install() rule #1728
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Still need to switch over to pointing at the py_library targets. Right now I started writing them as pointing to the http_file targets.
$ bazel query --output=build @pypi//...
This is a variant of bazelbuild#1625 and was inspired by bazelbuild#1788. In bazelbuild#1625, we attempt to parse the simple API HTML files in the same `pip.parse` extension and it brings the follownig challenges: * The `pip.parse` cannot be easily use in `isolated` mode and it may be difficult to implement the isolation if bazelbuild/bazel#20186 moves forward. * Splitting the `pypi_index` out of the `pip.parse` allows us to accept the location of the parsed simple API artifacts encoded as a bazel label. * Separation of the logic allows us to very easily implement usage of the downloader for cross-platform wheels. * The `whl` `METADATA` might not be exposed through older versions of Artifactory, so having the complexity hidden in this single extension allows us to not increase the complexity and scope of `pip.parse` too much. * The repository structure can be reused for `pypi_install` extension from bazelbuild#1728. TODO: - [ ] Add unit tests for functions in `pypi_index.bzl` bzlmod extension if the design looks good. - [ ] Changelog. Out of scope of this PR: - Further usage of the downloaded artifacts to implement something similar to bazelbuild#1625 or bazelbuild#1744. This needs bazelbuild#1750 and bazelbuild#1764. - Making the lock file the same on all platforms - We would need to fully parse the requirements file. - Support for different dependency versions in the `pip.parse` hub repos based on each platform - we would need to be able to interpret platform markers in some way, but `pypi_index` should be good already. - Implementing the parsing of METADATA to detect dependency cycles. - Support for `requirements` files that are not created via `pip-compile`. - Support for other lock formats, though that would be reasonably trivial to add. Open questions: - Support for VCS dependencies in requirements files - We should probably handle them as `overrides` in the `pypi_index` extension and treat them in `pip.parse` just as an `sdist`, but I am not sure it would work without any issues.
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Left a few comments for posterity.
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load("@rules_python//python:defs.bzl", "py_library") |
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I think it would be great to have a test case like this in tests/pypi/circular-deps
as handling circular dependencies is something that we don't do well yet on the main
branch.
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kwargs[arg_name] = select(select_dict) | ||
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def _accumulate_transitive_deps_inner(intermediate, configs, package, already_accumulated): |
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This would be useful to have - the accumulation of transitive dependencies could be very useful here. This would be a better way to solve the experimental_requirement_cycles
. However, we need to be able to download METADATA
and currently this is only possible from PyPI (and potentially very few Enterprise artifact registries), however we could potentially have other ways to do this, like vendoring of the METADATA
files in the repo or something similar.
This would not be an issue if the lock file provided the deps
that is extracted from the METADATA
so maybe by the time we have time to look into this uv
will have a universal lock file that has the necessary info.
deps_dict = _accumulate_transitive_deps(intermediate, all_configs, package) | ||
deps = select({config: to_alias_refs(alias_repo_name, deps) for config, deps in deps_dict.items()}) | ||
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py_wheel_library( |
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Just a note about the performance of this. Because the extraction of the wheel is happening at build time, we will need to re-execute the action if the configuration of the build changes. This means that a cross platform wheel (*-py3-none-any.whl
) would get extracted for each distinct configuration, hence if your repo wants to build a docker image with linux_x86_64
as the target platform and then later to run tests using py_test
, you would get to copies of the extracted wheel, which is somewhat unfortunate.
Closing this as we don't intend to merge it. |
Adds an
example/pypi_install
directory to show-case multi-arch py binaries.Caveats: