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Extending Python 3 in Goby@anthonypjshaw
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Extending Python 3 in Go

by Anthony ShawDecember 30th, 2017
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Extending Python has been a core feature of the platform for decades, the Python runtime provides a “C API”, which is a set of headers and core types for writing extensions in C and compiling them into Python modules.

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Extending Python has been a core feature of the platform for decades, the Python runtime provides a “C API”, which is a set of headers and core types for writing extensions in C and compiling them into Python modules.

But, do you really have to write extensions to Python in C? Why can’t we use something a tad more modern, like Go.

Background research — hasn’t this been done before?

I found a number of old articles written in 2015 either for Python 2 or for Go 1.5. Go has changed a lot since then so finding something up to date and well maintained was hard.

This article was for Go 1.5, and uses a mixture of C macros and Go. Also, a big limitation of cgo instead of the native Go functions is that it doesn’t support variadics (i.e. *args), which will be a big issue in most Python modules.

gopy, a tool for automatically creating modules from Go packages. It seemed from a glance like it was going to cause issues because it required a particular flag at compile-time which is not recommended in production. Also, it doesn’t support Python 3.

go-python looked like a good candidate but was written for the Python 2 bindings.

py looked very incomplete, only covering some of the basic Python API.

Other examples I found used the cffi package, so consumption of the code doesn’t feel like a module, it’s just a way to call Go compiled methods. Neither does it have native bindings.

Building shared libraries in Go

In the Go SDK, there is a toolset called cgo, which is a way to import C headers and access the types and methods described in external libraries.

It also enables you to build shared libraries from Go, and build C headers automatically from your methods in Go lang

Take this really simple Go package

By then running go build -buildmode=c-shared -o sum.so sum.go

You will see 3 files, sum.go sum.h and sum.so. The sum.so file is the compiled binary and sum.h is the header to describe what methods and types are defined within the binary.

To extend Python by writing modules in C, you need to start by importing Python.h and describe a set of boiler plate code in C. Because we’re in Go, this becomes trickier and as previous authors have shown, requires C macros in Go, or lots of Go code to wrap the methods.

Or does it?

PyBindGen

A lot of the work in Filippo’s original article was about the bindings. Bindings are like using a HTTP REST API, you need to know the names of the methods, the expected parameters and responses.

PyBindGen, a tool which has been around for ages, can create Python module bindings for 2 or 3, based on a C or C++ header file. You can include the source code in your package and even compile and embed in setuptools.

As shown before, we have already built that header file from the Go compiler.

By writing a simple build.py script, importing PyBindGen we can ask it to load the sum.h. Add it as an import and describe a method in the module called Sum, that takes 2 integers, a and b and returns an integer value.

Calling build.py will write a Python module in C to the screen. Once this module is compiled, it will import the Go-compiled binary and offer it as a native Python module. Pipe that to sum.c to create the source code that wraps our binary into a Python module. Make sure you pip install pybindgen first.

python build.py > sum.c

Compiling the module

Gcc needs more flags than the gates of the United Nations, so let’s start collecting those. The paths and options for our Python runtime, in my case Python 3.6 can be fetched by running python3.6-config --cflags andpython3.6-config --ldflags

Then call the GCC compiler to compile the C code, generated by PyBindGen, which imports the methods defined in sum.h, which in turn are in the sum.so binary.

gcc sum.c -dynamiclib sum.so -o testsum.so {python-flags}

Importing and testing the module

Our module has a single method, which sum’s 2 numbers together and returns a number. Nice and simple.

(env) bash-3.2$ python Python 3.6.1 (v3.6.1:69c0db5050, Mar 21 2017, 01:21:04) [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin Type “help”, “copyright”, “credits” or “license” for more information. >>> import testsum >>> testsum.Sum(1,2) 3

It works! Also, help(testsum.Sum) actually tells you what the parameters are and what types they are.

Something a little more complex

All of the tutorials online show a basic sum or arithmetic function, which isn’t really that useful. If you read the C-API documentation, you’ll see you have access to the common Python types.

A big limitation of cgo is that you can’t export complex types like struct from a function, but who cares! We have Python’s awesome PyObject type, which can do practically anything..

This time around we’re going to write a function which returns a Python dictionary. The return type will still be the PyObject pointer, which is the catch-all. This time we need to import the types so that the Go compiler knows what they are, this is from pkg-config (which we referenced earlier in Gcc). Also, because PyUnicode_FromString expects a char * we use a function to convert from a Go string.

We will create a key and value of the str Unicode type (this is Python 3 after all).

Let’s test it out, we need to update the build.py file with the new method and rebuild the library

We have specified that the called does not own the return value (i.e. the memory) but more information is available on the documentation about how you want to handle garbage collection.

(env) bash-3.2$ python Python 3.6.1 (v3.6.1:69c0db5050, Mar 21 2017, 01:21:04) [GCC 4.2.1 (Apple Inc. build 5666) (dot 3)] on darwin Type “help”, “copyright”, “credits” or “license” for more information. >>> import testsum >>> testsum.NewDictionary() {‘key’: ‘value’}

Next, why not see what API’s and packages that are available in Go you can start porting across to Python?

What could you achieve with Goroutines? What about the asynchronous API that is in Python 3.6? I think it could be possible

What about performance?

I put together this slap-dash function to multiply 2 matrixes

Interestingly, it is slower in Go/CGo than it is in just native CPython.

I’ve possibly made some sort of glaring error here. I’m also getting my head around the C-API, so this code needs type checks and NULL-ref checks, but the idea is there.

Still stuck on Python 2?

Check out my new course on Pluralsight for moving from Python 2 to 3.