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# Copyright 2023 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.
"Python toolchain module extensions for use with bzlmod"
load("@rules_python//python:repositories.bzl", "python_register_toolchains")
load("@rules_python//python/extensions/private:interpreter_hub.bzl", "hub_repo")
# Printing a warning msg not debugging, so we have to disable
# the buildifier check.
# buildifier: disable=print
def _print_warn(msg):
print("WARNING:", msg)
def _python_register_toolchains(toolchain_attr, version_constraint):
python_register_toolchains(
name = toolchain_attr.name,
python_version = toolchain_attr.python_version,
register_coverage_tool = toolchain_attr.configure_coverage_tool,
ignore_root_user_error = toolchain_attr.ignore_root_user_error,
set_python_version_constraint = version_constraint,
)
def _python_impl(module_ctx):
# We collect all of the toolchain names to create
# the INTERPRETER_LABELS map. This is used
# by interpreter_extensions.bzl via the hub_repo call below.
toolchain_names = []
# Used to store the default toolchain name so we can pass it to the hub
default_toolchain_name = None
# Used to store toolchains that are in sub modules.
sub_toolchains_map = {}
for mod in module_ctx.modules:
for toolchain_attr in mod.tags.toolchain:
# If we are in the root module we always register the toolchain.
# We wait to register the default toolchain till the end.
if mod.is_root:
toolchain_names.append(toolchain_attr.name)
# If we have the default version or we only have one toolchain
# in the root module we set the toolchain as the default toolchain.
if toolchain_attr.is_default or len(mod.tags.toolchain) == 1:
# We have already found one default toolchain, and we can
# only have one.
if default_toolchain_name != None:
fail("""We found more than one toolchain that is marked
as the default version. Only set one toolchain with is_default set as
True. The toolchain is named: {}""".format(toolchain_attr.name))
# We register the default toolchain.
_python_register_toolchains(toolchain_attr, False)
default_toolchain_name = toolchain_attr.name
else:
# Always register toolchains that are in the root module.
_python_register_toolchains(toolchain_attr, version_constraint = True)
else:
# We add the toolchain to a map, and we later create the
# toolchain if the root module does not have a toolchain with
# the same name. We have to loop through all of the modules to
# ensure that we get a full list of the root toolchains.
sub_toolchains_map[toolchain_attr.name] = toolchain_attr
# We did not find a default toolchain so we fail.
if default_toolchain_name == None:
fail("""Unable to find a default toolchain in the root module.
Please define a toolchain that has is_version set to True.""")
# Create the toolchains in the submodule(s).
for name, toolchain_attr in sub_toolchains_map.items():
# We cannot have a toolchain in a sub module that has the same name of
# a toolchain in the root module. This will cause name clashing.
if name in toolchain_names:
_print_warn("""Not creating the toolchain from sub module, with the name {}. The root
module has a toolchain of the same name.""".format(toolchain_attr.name))
continue
toolchain_names.append(name)
_python_register_toolchains(toolchain_attr, True)
# Create the hub for the interpreters and the
# the default toolchain.
hub_repo(
name = "pythons_hub",
toolchains = toolchain_names,
default_toolchain = default_toolchain_name,
)
python = module_extension(
doc = """Bzlmod extension that is used to register Python toolchains.
""",
implementation = _python_impl,
tag_classes = {
"toolchain": tag_class(
doc = """Tag class used to register Python toolchains.
Use this tag class to register one or more Python toolchains. This class
is also potentially called by sub modules. The following covers different
business rules and use cases.
Toolchains in the Root Module
This class registers all toolchains in the root module.
Toolchains in Sub Modules
It will create a toolchain that is in a sub module, if the toolchain
of the same name does not exist in the root module. The extension stops name
clashing between toolchains in the root module and toolchains in sub modules.
You cannot configure more than one toolchain as the default toolchain.
Toolchain set as the default version
This extension will not create a toolchain that exists in a sub module,
if the sub module toolchain is marked as the default version. If you have
more than one toolchain in your root module, you need to set one of the
toolchains as the default version. If there is only one toolchain it
is set as the default toolchain.
""",
attrs = {
"configure_coverage_tool": attr.bool(
mandatory = False,
doc = "Whether or not to configure the default coverage tool for the toolchains.",
),
"ignore_root_user_error": attr.bool(
default = False,
doc = "Whether the check for root should be ignored or not. This causes cache misses with .pyc files.",
mandatory = False,
),
"is_default": attr.bool(
mandatory = False,
doc = "Whether the toolchain is the default version",
),
"name": attr.string(mandatory = True),
"python_version": attr.string(mandatory = True),
},
),
},
)