Bazel rules#

pw_build: Integrations for Bazel, GN, and CMake

Wrapper rules#

The built-in Bazel rules cc_binary, cc_test, py_binary, and py_test are wrapped with pw_cc_binary, pw_cc_test, pw_py_binary, and pw_py_test, respectively. To access a wrapper, load its individual .bzl file. For example, to access pw_cc_binary:

load("@pigweed//pw_build:pw_cc_binary.bzl", "pw_cc_binary")

These wrappers should be used across Pigweed in place of their original counterparts. Projects using Pigweed may elect to use these wrappers, but don’t necessarily need to.

pw_cc_test#

pw_cc_test is a non-trival wrapper that instantiates many different flavors of test types using roughly the same interface as cc_test.

Other wrappers#

Most of the other wrappers provide minor compatibility constraints or injected dependencies. Please see the documentation for each wrapper for additional information.

pw_linker_script#

In addition to wrapping the built-in rules, Pigweed also provides a custom rule for handling linker scripts with Bazel. e.g.

pw_linker_script(
  name = "some_linker_script",
  linker_script = ":some_configurable_linker_script.ld",
  defines = [
      "PW_BOOT_FLASH_BEGIN=0x08000200",
      "PW_BOOT_FLASH_SIZE=1024K",
      "PW_BOOT_HEAP_SIZE=112K",
      "PW_BOOT_MIN_STACK_SIZE=1K",
      "PW_BOOT_RAM_BEGIN=0x20000000",
      "PW_BOOT_RAM_SIZE=192K",
      "PW_BOOT_VECTOR_TABLE_BEGIN=0x08000000",
      "PW_BOOT_VECTOR_TABLE_SIZE=512",
  ],
  deps = [":some_header_library"],
)

# You can include headers provided by targets specified in deps.
cc_library(
  name = "some_header_library",
  hdrs = ["test_header.h"],
  includes = ["."],
)

# You can include the linker script in the deps.
cc_binary(
  name = "some_binary",
  srcs = ["some_source.cc"],
  deps = [":some_linker_script"],
)

# Alternatively, you can use additional_linker_inputs and linkopts. This
# allows you to explicitly specify the command line order of linker scripts,
# and may be useful if your project defines more than one.
cc_binary(
  name = "some_binary",
  srcs = ["some_source.cc"],
  additional_linker_inputs = [":some_linker_script"],
  linkopts = ["-T $(execpath :some_linker_script)"],
)

pw_facade#

In Bazel, a facade module has a few components:

  1. The facade target, i.e. the interface to the module. This is what backend implementations depend on to know what interface they’re supposed to implement.

  2. The library target, i.e. both the facade (interface) and backend (implementation). This is what users of the module depend on. It’s a regular cc_library that exposes the same headers as the facade, but has a dependency on the “backend label flag” (discussed next). It may also include some source files (if these are backend-independent).

    Both the facade and library targets are created using the pw_facade macro. For example, consider the following macro invocation:

    pw_facade(
        name = "binary_semaphore",
        # A backend-independent source file.
        srcs = [
            "binary_semaphore.cc",
        ],
        # The facade header.
        hdrs = [
            "public/pw_sync/binary_semaphore.h",
        ],
        # Dependencies of this header.
        deps = [
            "//pw_chrono:system_clock",
            "//pw_preprocessor",
        ],
        # The backend, hidden behind a label_flag; see below.
        backend = [
            ":binary_semaphore_backend",
        ],
    )
    

    This macro expands to both the library target, named binary_semaphore, and the facade target, named binary_semaphore.facade.

  3. The backend label flag. This is a label_flag: a dependency edge in the build graph that can be overridden by downstream projects.

  4. The backend target implements a particular backend for a facade. It’s just a plain cc_library, with a dependency on the facade target. For example,

    cc_library(
        name = "binary_semaphore",
        srcs = [
            "binary_semaphore.cc",
        ],
        hdrs = [
            "public/pw_sync_stl/binary_semaphore_inline.h",
            "public/pw_sync_stl/binary_semaphore_native.h",
            "public_overrides/pw_sync_backend/binary_semaphore_inline.h",
            "public_overrides/pw_sync_backend/binary_semaphore_native.h",
        ],
        includes = [
            "public",
            "public_overrides",
        ],
        deps = [
            # Dependencies of the backend's headers and sources.
            "//pw_assert",
            "//pw_chrono:system_clock",
            # A dependency on the facade target, which defines the interface
            # this backend target implements.
            "//pw_sync:binary_semaphore.facade",
        ],
    )
    

The backend label flag should point at the backend target. Typically, the backend you want to use depends on the platform you are building for. See the Facades and backends tutorial for advice on how to set this up.

pw_cc_blob_library#

The pw_cc_blob_library rule is useful for embedding binary data into a program. The rule takes in a mapping of symbol names to file paths, and generates a set of C++ source and header files that embed the contents of the passed-in files as arrays of std::byte.

The blob byte arrays are constant initialized and are safe to access at any time, including before main().

pw_cc_blob_library is also available in the GN and CMake builds.

Arguments#

  • blobs: A list of pw_cc_blob_info targets, where each target corresponds to a binary blob to be transformed from file to byte array. This is a required field. pw_cc_blob_info attributes include:

    • symbol_name: The C++ symbol for the byte array.

    • file_path: The file path for the binary blob.

    • linker_section: If present, places the byte array in the specified linker section.

    • alignas: If present, uses the specified string verbatim in the alignas() specifier for the byte array.

  • out_header: The header file to generate. Users will include this file exactly as it is written here to reference the byte arrays.

  • namespace: C++ namespace to place the generated blobs within.

  • alwayslink: Whether this library should always be linked. Defaults to false.

Example#

BUILD.bazel

pw_cc_blob_info(
  name = "foo_blob",
  file_path = "foo.bin",
  symbol_name = "kFooBlob",
)

pw_cc_blob_info(
  name = "bar_blob",
  file_path = "bar.bin",
  symbol_name = "kBarBlob",
  linker_section = ".bar_section",
)

pw_cc_blob_library(
  name = "foo_bar_blobs",
  blobs = [
    ":foo_blob",
    ":bar_blob",
  ],
  out_header = "my/stuff/foo_bar_blobs.h",
  namespace = "my::stuff",
)

Note

If the binary blobs are generated as part of the build, be sure to list them as deps to the pw_cc_blob_library target.

Generated Header

#pragma once

#include <array>
#include <cstddef>

namespace my::stuff {

extern const std::array<std::byte, 100> kFooBlob;

extern const std::array<std::byte, 50> kBarBlob;

}  // namespace my::stuff

Generated Source

#include "my/stuff/foo_bar_blobs.h"

#include <array>
#include <cstddef>

#include "pw_preprocessor/compiler.h"

namespace my::stuff {

const std::array<std::byte, 100> kFooBlob = { ... };

PW_PLACE_IN_SECTION(".bar_section")
const std::array<std::byte, 50> kBarBlob = { ... };

}  // namespace my::stuff

pw_cc_binary#

pw_cc_binary is a wrapper of cc_binary. It’s implemented at pw_build/pw_cc_binary.bzl. Usage of this wrapper is optional; downstream Pigweed projects can instead use cc_binary if preferred.

Basic usage:

load("@pigweed//pw_build:pw_cc_binary.bzl", "pw_cc_binary")

pw_cc_binary(
    name = "…",
    srcs = ["…"],
    deps = [
        "…",
    ],
)

Pros of using pw_cc_binary:

  • It simplifies link-time dependency. Projects using cc_binary must set up (and document) link-time dependency themselves.

Cons of using pw_cc_binary:

pw_cc_binary_with_map#

The pw_cc_binary_with_map rule can be used to build a binary like cc_binary does but also generate a .map file from the linking step.

pw_cc_binary_with_map(
  name = "test",
  srcs = ["empty_main.cc"],
)

This should result in a test.map file generated next to the test binary.

Note that it’s only partially compatible with the cc_binary interface and certain things are not implemented like make variable substitution.

pw_elf_to_bin#

The pw_elf_to_bin rule takes in a binary executable target and produces a file using the -Obinary option to objcopy. This is only suitable for use with binaries where all the segments are non-overlapping. A common use case for this type of file is booting directly on hardware with no bootloader.

load("@pigweed//pw_build:binary_tools.bzl", "pw_elf_to_bin")

pw_elf_to_bin(
  name = "bin",
  elf_input = ":main",
  bin_out = "main.bin",
)

pw_elf_to_dump#

The pw_elf_to_dump rule takes in a binary executable target and produces a text file containing the output of the toolchain’s objdump -xd command. This contains the full binary layout, symbol table and disassembly which is often useful when debugging embedded firmware.

load("@pigweed//pw_build:binary_tools.bzl", "pw_elf_to_dump")

pw_elf_to_dump(
  name = "dump",
  elf_input = ":main",
  dump_out = "main.dump",
)

pw_copy_and_patch_file#

Provides the ability to patch a file as part of the build.

The source file will not be patched in place, but instead copied before patching. The output of this target will be the patched file.

Arguments#

  • name: The name of the target.

  • source: The source file to be patched.

  • out: The output file containing the patched contents.

  • patch_file: The patch file.

Example#

To apply the patch changes.patch to the file data/file.txt which is located in the bazel dependency @external-sdk//.

pw_copy_and_patch_file(
    name = "apply_patch",
    src = "@external-sdk//data/file.txt",
    out = "data/patched_file.txt",
    patch_file = "changes.patch",
)

pw_py_importable_runfile#

An importable py_library that makes loading runfiles easier.

When using Bazel runfiles from Python, Rlocation() takes two arguments:

  1. The path of the runfiles. This is the apparent repo name joined with the path within that repo.

  2. The source_repo to evaluate path from. This is related to how apparent repo names and canonical repo names are handled by Bazel.

Unfortunately, it’s easy to get these arguments wrong.

This generated Python library short-circuits this problem by letting Bazel generate the correct arguments to Rlocation() so users don’t even have to think about what to pass.

For example:

# In @bloaty//:BUILD.bazel, or wherever is convenient:
pw_py_importable_runfile(
    name = "bloaty_runfiles",
    src = "//:bin/bloaty",
    executable = True,
    import_location = "bloaty.bloaty_binary",
    visibility = ["//visibility:public"],
)

# Using the pw_py_importable_runfile from a py_binary in a
# BUILD.bazel file:
py_binary(
    name = "my_binary",
    srcs = ["my_binary.py"],
    main = "my_binary.py",
    deps = ["@bloaty//:bloaty_runfiles"],
)

# In my_binary.py:
import bloaty.bloaty_binary
from python.runfiles import runfiles  # type: ignore

r = runfiles.Create()
bloaty_path = r.Rlocation(*bloaty.bloaty_binary.RLOCATION)

Note

Because this exposes runfiles as importable Python modules, the import paths of the generated libraries may collide with existing Python libraries. When this occurs, you need to Extend the import path of packages with generated files.

Attrs#

Name

Description

import_location

The final Python import path of the generated module. By default, this is path.to.package.label_name.

target

The file this library exposes as runfiles.

executable

Whether or not the source file is executable.

**kwargs

Common attributes to forward both underlying targets.

boolean_constraint_value#

This macro is syntactic sugar for declaring a constraint setting with just two possible constraint values. The only exposed target is the constraint_value corresponding to True; the default value of the setting is False.

This macro is meant to simplify declaring Module-specific constraints.

host_backend_alias#

An alias that resolves to the backend for host platforms. This is useful when declaring a facade that provides a default backend for host platform use.