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# Copyright 2022 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Common functions that are specific to Bazel rule implementation"""
load("@bazel_skylib//lib:paths.bzl", "paths")
load("@bazel_skylib//rules:common_settings.bzl", "BuildSettingInfo")
load("@rules_cc//cc/common:cc_common.bzl", "cc_common")
load("@rules_cc//cc/common:cc_info.bzl", "CcInfo")
load(":attributes.bzl", "PrecompileAttr", "PrecompileInvalidationModeAttr", "PrecompileSourceRetentionAttr")
load(":common.bzl", "is_bool")
load(":flags.bzl", "PrecompileFlag")
load(":py_cc_link_params_info.bzl", "PyCcLinkParamsInfo")
load(":py_internal.bzl", "py_internal")
load(":py_interpreter_program.bzl", "PyInterpreterProgramInfo")
load(":toolchain_types.bzl", "EXEC_TOOLS_TOOLCHAIN_TYPE", "TARGET_TOOLCHAIN_TYPE")
_py_builtins = py_internal
def collect_cc_info(ctx, extra_deps = []):
"""Collect C++ information from dependencies for Bazel.
Args:
ctx: Rule ctx; must have `deps` attribute.
extra_deps: list of Target to also collect C+ information from.
Returns:
CcInfo provider of merged information.
"""
deps = ctx.attr.deps
if extra_deps:
deps = list(deps)
deps.extend(extra_deps)
cc_infos = []
for dep in deps:
if CcInfo in dep:
cc_infos.append(dep[CcInfo])
if PyCcLinkParamsInfo in dep:
cc_infos.append(dep[PyCcLinkParamsInfo].cc_info)
return cc_common.merge_cc_infos(cc_infos = cc_infos)
def maybe_precompile(ctx, srcs):
"""Computes all the outputs (maybe precompiled) from the input srcs.
See create_binary_semantics_struct for details about this function.
Args:
ctx: Rule ctx.
srcs: List of Files; the inputs to maybe precompile.
Returns:
Struct of precompiling results with fields:
* `keep_srcs`: list of File; the input sources that should be included
as default outputs.
* `pyc_files`: list of File; the precompiled files.
* `py_to_pyc_map`: dict of src File input to pyc File output. If a source
file wasn't precompiled, it won't be in the dict.
"""
# The exec tools toolchain and precompiler are optional. Rather than
# fail, just skip precompiling, as its mostly just an optimization.
exec_tools_toolchain = ctx.toolchains[EXEC_TOOLS_TOOLCHAIN_TYPE]
if exec_tools_toolchain == None or exec_tools_toolchain.exec_tools.precompiler == None:
precompile = PrecompileAttr.DISABLED
else:
precompile_flag = ctx.attr._precompile_flag[BuildSettingInfo].value
if precompile_flag == PrecompileFlag.FORCE_ENABLED:
precompile = PrecompileAttr.ENABLED
elif precompile_flag == PrecompileFlag.FORCE_DISABLED:
precompile = PrecompileAttr.DISABLED
else:
precompile = ctx.attr.precompile
# Unless explicitly disabled, we always generate a pyc. This allows
# binaries to decide whether to include them or not later.
if precompile != PrecompileAttr.DISABLED:
should_precompile = True
else:
should_precompile = False
source_retention = PrecompileSourceRetentionAttr.get_effective_value(ctx)
keep_source = (
not should_precompile or
source_retention == PrecompileSourceRetentionAttr.KEEP_SOURCE
)
result = struct(
keep_srcs = [],
pyc_files = [],
py_to_pyc_map = {},
)
for src in srcs:
if should_precompile:
# NOTE: _precompile() may return None
pyc = _precompile(ctx, src, use_pycache = keep_source)
else:
pyc = None
if pyc:
result.pyc_files.append(pyc)
result.py_to_pyc_map[src] = pyc
if keep_source or not pyc:
result.keep_srcs.append(src)
return result
def _precompile(ctx, src, *, use_pycache):
"""Compile a py file to pyc.
Args:
ctx: rule context.
src: File object to compile
use_pycache: bool. True if the output should be within the `__pycache__`
sub-directory. False if it should be alongside the original source
file.
Returns:
File of the generated pyc file.
"""
# Generating a file in another package is an error, so we have to skip
# such cases.
if ctx.label.package != src.owner.package:
return None
exec_tools_info = ctx.toolchains[EXEC_TOOLS_TOOLCHAIN_TYPE].exec_tools
target_toolchain = ctx.toolchains[TARGET_TOOLCHAIN_TYPE].py3_runtime
# These args control starting the precompiler, e.g., when run as a worker,
# these args are only passed once.
precompiler_startup_args = ctx.actions.args()
env = {}
tools = []
precompiler = exec_tools_info.precompiler
if PyInterpreterProgramInfo in precompiler:
precompiler_executable = exec_tools_info.exec_interpreter[DefaultInfo].files_to_run
program_info = precompiler[PyInterpreterProgramInfo]
env.update(program_info.env)
precompiler_startup_args.add_all(program_info.interpreter_args)
default_info = precompiler[DefaultInfo]
precompiler_startup_args.add(default_info.files_to_run.executable)
tools.append(default_info.files_to_run)
elif precompiler[DefaultInfo].files_to_run:
precompiler_executable = precompiler[DefaultInfo].files_to_run
else:
fail(("Unrecognized precompiler: target '{}' does not provide " +
"PyInterpreterProgramInfo nor appears to be executable").format(
precompiler,
))
stem = src.basename[:-(len(src.extension) + 1)]
if use_pycache:
if not hasattr(target_toolchain, "pyc_tag") or not target_toolchain.pyc_tag:
# This is likely one of two situations:
# 1. The pyc_tag attribute is missing because it's the Bazel-builtin
# PyRuntimeInfo object.
# 2. It's a "runtime toolchain", i.e. the autodetecting toolchain,
# or some equivalent toolchain that can't assume to know the
# runtime Python version at build time.
# Instead of failing, just don't generate any pyc.
return None
pyc_path = "__pycache__/{stem}.{tag}.pyc".format(
stem = stem,
tag = target_toolchain.pyc_tag,
)
else:
pyc_path = "{}.pyc".format(stem)
pyc = ctx.actions.declare_file(pyc_path, sibling = src)
invalidation_mode = ctx.attr.precompile_invalidation_mode
if invalidation_mode == PrecompileInvalidationModeAttr.AUTO:
if ctx.var["COMPILATION_MODE"] == "opt":
invalidation_mode = PrecompileInvalidationModeAttr.UNCHECKED_HASH
else:
invalidation_mode = PrecompileInvalidationModeAttr.CHECKED_HASH
# Though --modify_execution_info exists, it can only set keys with
# empty values, which doesn't work for persistent worker settings.
execution_requirements = {}
if testing.ExecutionInfo in precompiler:
execution_requirements.update(precompiler[testing.ExecutionInfo].requirements)
# These args are passed for every precompilation request, e.g. as part of
# a request to a worker process.
precompile_request_args = ctx.actions.args()
# Always use param files so that it can be run as a persistent worker
precompile_request_args.use_param_file("@%s", use_always = True)
precompile_request_args.set_param_file_format("multiline")
precompile_request_args.add("--invalidation_mode", invalidation_mode)
precompile_request_args.add("--src", src)
# NOTE: src.short_path is used because src.path contains the platform and
# build-specific hash portions of the path, which we don't want in the
# pyc data. Note, however, for remote-remote files, short_path will
# have the repo name, which is likely to contain extraneous info.
precompile_request_args.add("--src_name", src.short_path)
precompile_request_args.add("--pyc", pyc)
precompile_request_args.add("--optimize", ctx.attr.precompile_optimize_level)
version_info = target_toolchain.interpreter_version_info
python_version = "{}.{}".format(version_info.major, version_info.minor)
precompile_request_args.add("--python_version", python_version)
ctx.actions.run(
executable = precompiler_executable,
arguments = [precompiler_startup_args, precompile_request_args],
inputs = [src],
outputs = [pyc],
mnemonic = "PyCompile",
progress_message = "Python precompiling %{input} into %{output}",
tools = tools,
env = env | {
"PYTHONHASHSEED": "0", # Helps avoid non-deterministic behavior
"PYTHONNOUSERSITE": "1", # Helps avoid non-deterministic behavior
"PYTHONSAFEPATH": "1", # Helps avoid incorrect import issues
},
execution_requirements = execution_requirements,
toolchain = EXEC_TOOLS_TOOLCHAIN_TYPE,
)
return pyc
def get_imports(ctx):
"""Gets the imports from a rule's `imports` attribute.
See create_binary_semantics_struct for details about this function.
Args:
ctx: Rule ctx.
Returns:
List of strings.
"""
prefix = "{}/{}".format(
ctx.workspace_name,
_py_builtins.get_label_repo_runfiles_path(ctx.label),
)
result = []
for import_str in ctx.attr.imports:
import_str = ctx.expand_make_variables("imports", import_str, {})
if import_str.startswith("/"):
continue
# To prevent "escaping" out of the runfiles tree, we normalize
# the path and ensure it doesn't have up-level references.
import_path = paths.normalize("{}/{}".format(prefix, import_str))
if import_path.startswith("../") or import_path == "..":
fail("Path '{}' references a path above the execution root".format(
import_str,
))
result.append(import_path)
return result
def convert_legacy_create_init_to_int(kwargs):
"""Convert "legacy_create_init" key to int, in-place.
Args:
kwargs: The kwargs to modify. The key "legacy_create_init", if present
and bool, will be converted to its integer value, in place.
"""
if is_bool(kwargs.get("legacy_create_init")):
kwargs["legacy_create_init"] = 1 if kwargs["legacy_create_init"] else 0