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"""The implementation of the `py_proto_library` rule and its aspect."""
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load("@rules_python//python:py_info.bzl", "PyInfo")
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load("//bazel/common:proto_common.bzl", "proto_common")
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load("//bazel/common:proto_info.bzl", "ProtoInfo")
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load("//bazel/private:toolchain_helpers.bzl", "toolchains")
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PY_PROTO_TOOLCHAIN = "@rules_python//python/proto:toolchain_type"
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_PyProtoInfo = provider(
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doc = "Encapsulates information needed by the Python proto rules.",
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fields = {
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"imports": """
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(depset[str]) The field forwarding PyInfo.imports coming from
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the proto language runtime dependency.""",
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"runfiles_from_proto_deps": """
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(depset[File]) Files from the transitive closure implicit proto
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dependencies""",
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"transitive_sources": """(depset[File]) The Python sources.""",
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},
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)
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def _filter_provider(provider, *attrs):
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return [dep[provider] for attr in attrs for dep in attr if provider in dep]
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def _py_proto_aspect_impl(target, ctx):
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"""Generates and compiles Python code for a proto_library.
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The function runs protobuf compiler on the `proto_library` target generating
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a .py file for each .proto file.
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Args:
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target: (Target) A target providing `ProtoInfo`. Usually this means a
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`proto_library` target, but not always; you must expect to visit
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non-`proto_library` targets, too.
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ctx: (RuleContext) The rule context.
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Returns:
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([_PyProtoInfo]) Providers collecting transitive information about
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generated files.
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"""
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_proto_library = ctx.rule.attr
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# Check Proto file names
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for proto in target[ProtoInfo].direct_sources:
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if proto.is_source and "-" in proto.dirname:
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fail("Cannot generate Python code for a .proto whose path contains '-' ({}).".format(
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proto.path,
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))
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if proto_common.INCOMPATIBLE_ENABLE_PROTO_TOOLCHAIN_RESOLUTION:
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toolchain = ctx.toolchains[PY_PROTO_TOOLCHAIN]
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if not toolchain:
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fail("No toolchains registered for '%s'." % PY_PROTO_TOOLCHAIN)
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proto_lang_toolchain_info = toolchain.proto
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else:
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proto_lang_toolchain_info = getattr(ctx.attr, "_aspect_proto_toolchain")[proto_common.ProtoLangToolchainInfo]
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api_deps = [proto_lang_toolchain_info.runtime]
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generated_sources = []
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proto_info = target[ProtoInfo]
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proto_root = proto_info.proto_source_root
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if proto_info.direct_sources:
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# Generate py files
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generated_sources = proto_common.declare_generated_files(
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actions = ctx.actions,
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proto_info = proto_info,
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extension = "_pb2.py",
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name_mapper = lambda name: name.replace("-", "_").replace(".", "/"),
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)
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# Handles multiple repository and virtual import cases
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if proto_root.startswith(ctx.bin_dir.path):
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proto_root = proto_root[len(ctx.bin_dir.path) + 1:]
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plugin_output = ctx.bin_dir.path + "/" + proto_root
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proto_root = ctx.workspace_name + "/" + proto_root
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proto_common.compile(
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actions = ctx.actions,
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proto_info = proto_info,
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proto_lang_toolchain_info = proto_lang_toolchain_info,
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generated_files = generated_sources,
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plugin_output = plugin_output,
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)
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# Generated sources == Python sources
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python_sources = generated_sources
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deps = _filter_provider(_PyProtoInfo, getattr(_proto_library, "deps", []))
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runfiles_from_proto_deps = depset(
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transitive = [dep[DefaultInfo].default_runfiles.files for dep in api_deps] +
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[dep.runfiles_from_proto_deps for dep in deps],
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)
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transitive_sources = depset(
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direct = python_sources,
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transitive = [dep.transitive_sources for dep in deps],
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)
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return [
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_PyProtoInfo(
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imports = depset(
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# Adding to PYTHONPATH so the generated modules can be
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# imported. This is necessary when there is
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# strip_import_prefix, the Python modules are generated under
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# _virtual_imports. But it's undesirable otherwise, because it
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# will put the repo root at the top of the PYTHONPATH, ahead of
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# directories added through `imports` attributes.
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[proto_root] if "_virtual_imports" in proto_root else [],
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transitive = [dep[PyInfo].imports for dep in api_deps] + [dep.imports for dep in deps],
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),
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runfiles_from_proto_deps = runfiles_from_proto_deps,
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transitive_sources = transitive_sources,
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),
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]
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_py_proto_aspect = aspect(
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implementation = _py_proto_aspect_impl,
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attrs = toolchains.if_legacy_toolchain({
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"_aspect_proto_toolchain": attr.label(
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default = "//python:python_toolchain",
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),
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}),
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attr_aspects = ["deps"],
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required_providers = [ProtoInfo],
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provides = [_PyProtoInfo],
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toolchains = toolchains.use_toolchain(PY_PROTO_TOOLCHAIN),
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)
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def _py_proto_library_rule(ctx):
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"""Merges results of `py_proto_aspect` in `deps`.
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Args:
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ctx: (RuleContext) The rule context.
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Returns:
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([PyInfo, DefaultInfo, OutputGroupInfo])
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"""
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if not ctx.attr.deps:
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fail("'deps' attribute mustn't be empty.")
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pyproto_infos = _filter_provider(_PyProtoInfo, ctx.attr.deps)
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default_outputs = depset(
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transitive = [info.transitive_sources for info in pyproto_infos],
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)
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return [
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DefaultInfo(
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files = default_outputs,
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default_runfiles = ctx.runfiles(transitive_files = depset(
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transitive =
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[default_outputs] +
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[info.runfiles_from_proto_deps for info in pyproto_infos],
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)),
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),
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OutputGroupInfo(
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default = depset(),
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),
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PyInfo(
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transitive_sources = default_outputs,
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imports = depset(transitive = [info.imports for info in pyproto_infos]),
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# Proto always produces 2- and 3- compatible source files
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has_py2_only_sources = False,
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has_py3_only_sources = False,
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),
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]
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py_proto_library = rule(
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implementation = _py_proto_library_rule,
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doc = """
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Use `py_proto_library` to generate Python libraries from `.proto` files.
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The convention is to name the `py_proto_library` rule `foo_py_pb2`,
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when it is wrapping `proto_library` rule `foo_proto`.
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`deps` must point to a `proto_library` rule.
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Example:
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```starlark
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py_library(
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name = "lib",
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deps = [":foo_py_pb2"],
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)
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py_proto_library(
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name = "foo_py_pb2",
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deps = [":foo_proto"],
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)
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proto_library(
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name = "foo_proto",
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srcs = ["foo.proto"],
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)
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```""",
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attrs = {
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"deps": attr.label_list(
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doc = """
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The list of `proto_library` rules to generate Python libraries for.
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Usually this is just the one target: the proto library of interest.
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It can be any target providing `ProtoInfo`.""",
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providers = [ProtoInfo],
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aspects = [_py_proto_aspect],
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),
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},
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provides = [PyInfo],
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)
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