I'm building a C++ executable that needs to #include "Python.h" from the user's Python installation.
To express Python.h (and the various header files it includes) in Bazel, I need to know where the Python include directory is. This location will be different on Windows and Linux, and I'd like a single Bazel configuration to build them both.
What's the best Bazel practice for referencing software that exists outside of the WORKSPACE root?
You can use Bazel to build a self-contained Python binary that bundles the interpreter and all its dependencies by using a py_runtime rule[1]. It's fairly straightforward and doesn't require much Bazel knowledge - there are simple examples on GitHub[2].
bazel.build. Similar to building tools like Make, Apache Ant, or Apache Maven, Bazel builds software applications from source code using a set of rules. Rules and macros are created in the Starlark language (previously called Skylark), a dialect of Python.
So to tell Bazel about external dependencies you need to use one of the Workspace Rules to specify the location of the external dependency, as well as the BUILD
file for Bazel to use with that external dependency.
To have something work cross-platform you need to use the select() function to have Bazel select the proper library to build against for your host operating system.
Here's a stab at accomplishing it:
First we have the WORKSPACE
file in your project's root that defines the two libraries and the BUILD
file to use for them. Here I'm just using build_file_content
but if that becomes too complex you can put it in it's own file and reference it instead. The BUILD
file here exposes the prebuild library shipped with Python along with the header files needed. It also adds an include path for any targets that depend on these libraries so you can do #include "Python.h"
new_local_repository(
name = "python_linux",
path = "/usr",
build_file_content = """
cc_library(
name = "python35-lib",
srcs = ["lib/python3.5/config-3.5m-x86_64-linux-gnu/libpython3.5.so"],
hdrs = glob(["include/python3.5/*.h"]),
includes = ["include/python3.5"],
visibility = ["//visibility:public"]
)
"""
)
new_local_repository(
name = "python_win",
path = "C:/Python35",
build_file_content = """
cc_library(
name = "python35-lib",
srcs = ["libs/python35.lib"],
hdrs = glob(["include/*.h"]),
includes = ["include/"],
visibility = ["//visibility:public"]
)
"""
)
Next the BUILD
file for your application. Here you need to define some config_settings. This allows us to define platform dependent settings for our build. We use the cpu value to determine the host OS.
In the cc_binary
rule we use the select()
function to choose the correct host library to link against based on the configuration.
config_setting(
name = "linux_x86_64",
values = {"cpu": "k8"},
visibility = ["//visibility:public"],
)
config_setting(
name = "windows",
values = {"cpu": "x64_windows"},
visibility = ["//visibility:public"],
)
cc_binary(
name="python-test",
srcs = [
"main.c",
],
deps = select({
"//:linux_x86_64": [
"@python_linux//:python35-lib"
],
"//:windows": [
"@python_win//:python35-lib"
]
})
)
FWIW here's the main.c
I was playing around with to get this working.
#include "Python.h"
int main(int argc, char *argv[])
{
Py_SetProgramName(argv[0]); /* optional but recommended */
Py_Initialize();
PyRun_SimpleString("from time import time,ctime\n"
"print('Today is',ctime(time()))\n");
Py_Finalize();
return 0;
}
Another way (and perhaps simpler) is checking the python headers and libraries into your repository. You will still need to use select()
to choose the correct library to link against but at least you won't need to add anything to your WORKSPACE
file and can just rely on another BUILD
file in your repository. If you look at the Bazel repo they check in lots of external dependencies into the third_party
directory, so it's a common practice.
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