feat: expose interpreter files-to-run on PyRuntimeInfo (#3795) Rules that execute a py_runtime interpreter in an action need the interpreter executable together with its runfiles metadata. The existing PyRuntimeInfo fields identify the interpreter file and runtime files, but do not preserve the target's FilesToRunProvider for executable interpreter targets. Add PyRuntimeInfo.interpreter_files_to_run for runtimes created from an executable interpreter target, and validate that direct provider construction keeps the FilesToRunProvider executable aligned with the interpreter field. Direct file interpreters and platform runtimes continue to leave this field unset, preserving existing py_runtime behavior. Document the new public provider field and add focused analysis-test coverage for executable, file-only, platform, and invalid constructor cases. One example is [rules_pycross](https://github.com/jvolkman/rules_pycross) wheel building with an in-build executable Python runtime. pycross needs to run the selected Python interpreter in an action, but PyRuntimeInfo previously exposed only the interpreter File and runtime files, not the interpreter target's FilesToRunProvider. For executable in-build runtimes, the FilesToRunProvider is the Bazel-native handle that carries both the executable and the runfiles metadata needed to stage it as an action tool. Exposing it lets pycross consume the runtime interpreter directly for wheel-build actions instead of reconstructing or approximating the interpreter's runtime closure from separate fields. Co-authored-by: Richard Levasseur <richardlev@gmail.com>
This repository is the home of the core Python rules -- py_library, py_binary, py_test, and related symbols that provide the basis for Python support in Bazel. It also contains package installation rules for integrating with PyPI and other indices.
Documentation for rules_python is at https://rules-python.readthedocs.io and in the Bazel Build Encyclopedia.
Examples live in the examples directory.
The core rules are stable. Their implementation is subject to Bazel's backward compatibility policy. This repository aims to follow semantic versioning.
The Bazel community maintains this repository. Neither Google nor the Bazel team provides support for the code. However, this repository is part of the test suite used to vet new Bazel releases. See How to contribute page for information on our development workflow.
requirements.txt is how users have been defining dependencies for a long time. We support this to support legacy usecases or package managers that we don't support directly. Any additional information that we need will be retrieved from the SimpleAPI during the bzlmod extension evaluation phase. Then it will be written to the MODULE.bazel.lock file for future reuse. We have plans to support uv.lock file directly. uv is recommended for generating a fully locked requirements.txt file and we do provide a rule for it.py_binary, py_test rules should scale to large monorepos and we work hard to minimize the work done during analysis and build phase. What is more, the space requirements for should be minimal, so we strive to use symlinks rather than extracting wheels at build time. This means that for different configurations of the same build, we are not extracting the wheel multiple times thus scaling better over the time. From 2.0 onwards we are creating a virtual env for each target by creating an actual minimal virtual environment using symlinks. We plan on creating the traditional site-packages layout in the future by default.rules_python and this has resulted in a few PEPs supported within pure starlark - PEP440, PEP509.Common misconceptions:
rules_python has to keep backwards compatibility with google3. Whilst this might have been true in the past, rules_python is an open source project and any compatibility needs should come from the community - we have no requirement to keep this compatibility and are allowed to make our decisions. However, we do want to keep backwards compatibility as long as possible to not upset users with never ending migrations.rules_python is not caching pip downloads. With 2.0, we use Bazel's downloader by default and rely on bazel to provide the repository caching mechanisms. This means that for simpler setups this should result in transparent and scalable caching with the most recent bazel versions unless there are issues in the bazel itself.For detailed documentation, see https://rules-python.readthedocs.io
See Bzlmod support for more details.