fix(toolchain): fix crash on Windows when precompiling is enabled (#4082)

`python/private/py_executable.bzl`'s `_maybe_add_test_main_validation`
fix (#4079) noted `precompile.bzl` as a remaining user of the same
`exec_interpreter` relocation issue, needing the same migration.

There was no existing test exercising `_precompile`'s action at all:
`tests/base_rules/precompile`'s suite is `analysis_test`-only, checking
declared providers, never actually running the precompiler.
Reproducing this on Windows therefore required a real `bazel build`, via
the new `test_precompile_enabled_succeeds`:
```
bazel test \
  //tests/base_rules/precompile:test_precompile_enabled_succeeds
...
ERROR: .../tests/base_rules/precompile/BUILD.bazel:3:22: Python
 precompiling .../test_precompile_enabled_succeeds_main.py into
 .../test_precompile_enabled_succeeds_main.cpython-311.pyc
 failed: Worker process did not return a WorkResponse:
---8<---8<--- Start of log, file at
 .../multiplex-worker-1-PyCompile.log ---8<---8<---
(empty)
---8<---8<--- End of log ---8<---8<---
```
The worker crashes at startup, unable to find its DLLs, before it can
write anything to its own log or respond over the worker protocol.

`_precompile` now uses `actions_run()` with `exec_runtime`, exactly as
`_maybe_add_test_main_validation` does, instead of
`exec_tools_info.exec_interpreter[DefaultInfo].files_to_run`.

Reproducing and fixing this also uncovered two more problems, both
specific to the precompiler's worker mode and unrelated to
`exec_interpreter`.

First, `tools/precompiler/precompiler.py`'s persistent worker reads each
JSON request as a single line via `asyncio.StreamReader`, whose default
64KiB limit is exceeded once every interpreter distribution file,
previously hidden by relocation into a much smaller symlink tree, shows
up as an actual, individually-digested action input:
```
ValueError: Separator is not found, and chunk exceed the limit
```
A CPython 3.11 distribution's ~2,260 inputs measure ~470KiB this way; `1
<< 22` (4MiB) leaves ample headroom.

Second, the worker's default implementation, `_AsyncPersistentWorker`,
can't start on Windows at all: `asyncio`'s `ProactorEventLoop` fails to
wrap `stdin`/`stdout` as pipe transports, with:
```
OSError: [WinError 6] The handle is invalid
```
Bazel gives workers anonymous pipes (`CreatePipe`) for stdio, which
never support overlapped I/O, so `asyncio`'s `ProactorEventLoop` can't
register them with an I/O completion port.
This is unrelated to precompiling's relocation bug: nothing exercises
this worker on Windows today.
`_SerialPersistentWorker`, the blocking-I/O alternative already present
in the file, has no such issue, so `--worker_impl` now defaults to
`serial` on Windows.

`tests/base_rules/precompile:test_precompile_enabled_succeeds` is a
real, executing `py_test` with `precompile = "enabled"`, added alongside
the analysis-only suite to close this gap: it forces the precompiler
action to actually run, and needs no CI wiring since it carries no tag
excluding it from the existing Windows job's default test sweep.
4 files changed
tree: be8c34ba979af88f17ec5fcf2f65867cca6356c0
  1. .agents/
  2. .bazelci/
  3. .bcr/
  4. .ci/
  5. .github/
  6. command_line_option/
  7. dev/
  8. docs/
  9. examples/
  10. gazelle/
  11. news/
  12. private/
  13. python/
  14. sphinxdocs/
  15. tests/
  16. tools/
  17. .bazelignore
  18. .bazelrc
  19. .bazelrc.deleted_packages
  20. .bazelversion
  21. .editorconfig
  22. .git-blame-ignore-revs
  23. .gitattributes
  24. .gitignore
  25. .pre-commit-config.yaml
  26. .python-version
  27. .readthedocs.yml
  28. addlicense.sh
  29. AGENTS.md
  30. AUTHORS
  31. BUILD.bazel
  32. BZLMOD_SUPPORT.md
  33. CHANGELOG.md
  34. CONTRIBUTING.md
  35. CONTRIBUTORS
  36. downloader_config.cfg
  37. GEMINI.md
  38. internal_dev_deps.bzl
  39. internal_dev_setup.bzl
  40. LICENSE
  41. MODULE.bazel
  42. README.md
  43. RELEASING.md
  44. replicate_ci
  45. ruff.toml
  46. specialized_configs.bazelrc
  47. version.bzl
  48. WORKSPACE
  49. WORKSPACE.bzlmod
  50. workspace_bazel9.bzl
README.md

Python Rules for Bazel

Build status

Overview

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.

Design

  • Supported OSes - as per our supported platform policy, we strive for support on all of the platforms that we have CI for. Some platforms do not have the same backwards compatibility guarantees, but we hope the community can step in where needed to make the support more robust.
  • 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.
  • The 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.
  • Support for standards - we strive to first implement any standards needed within 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.

Documentation

For detailed documentation, see https://rules-python.readthedocs.io

Bzlmod support

See Bzlmod support for more details.