Crate pyo3_ffi

Expand description

Raw FFI declarations for Python’s C API.

PyO3 can be used to write native Python modules or run Python code and modules from Rust.

This crate just provides low level bindings to the Python interpreter. It is meant for advanced users only - regular PyO3 users shouldn’t need to interact with this crate at all.

The contents of this crate are not documented here, as it would entail basically copying the documentation from CPython. Consult the Python/C API Reference Manual for up-to-date documentation.

Safety

The functions in this crate lack individual safety documentation, but generally the following apply:

Pointer arguments have to point to a valid Python object of the correct type, although null pointers are sometimes valid input.
The vast majority can only be used safely while the GIL is held.
Some functions have additional safety requirements, consult the Python/C API Reference Manual for more information.

Feature flags

PyO3 uses feature flags to enable you to opt-in to additional functionality. For a detailed description, see the Features chapter of the guide.

Optional feature flags

The following features customize PyO3’s behavior:

abi3: Restricts PyO3’s API to a subset of the full Python API which is guaranteed by PEP 384 to be forward-compatible with future Python versions.
extension-module: This will tell the linker to keep the Python symbols unresolved, so that your module can also be used with statically linked Python interpreters. Use this feature when building an extension module.

`rustc` environment flags

PyO3 uses rustc’s --cfg flags to enable or disable code used for different Python versions. If you want to do this for your own crate, you can do so with the pyo3-build-config crate.

Py_3_7, Py_3_8, Py_3_9, Py_3_10: Marks code that is only enabled when compiling for a given minimum Python version.
Py_LIMITED_API: Marks code enabled when the abi3 feature flag is enabled.
PyPy - Marks code enabled when compiling for PyPy.

Minimum supported Rust and Python versions

PyO3 supports the following software versions:

Python 3.7 and up (CPython and PyPy)
Rust 1.48 and up

Example: Building Python Native modules

PyO3 can be used to generate a native Python module. The easiest way to try this out for the first time is to use maturin. maturin is a tool for building and publishing Rust-based Python packages with minimal configuration. The following steps set up some files for an example Python module, install maturin, and then show how to build and import the Python module.

First, create a new folder (let’s call it string_sum) containing the following two files:

Cargo.toml

[lib]
name = "string_sum"
# "cdylib" is necessary to produce a shared library for Python to import from.
#
# Downstream Rust code (including code in `bin/`, `examples/`, and `tests/`) will not be able
# to `use string_sum;` unless the "rlib" or "lib" crate type is also included, e.g.:
# crate-type = ["cdylib", "rlib"]
crate-type = ["cdylib"]

[dependencies.pyo3-ffi]
version = "*"
features = ["extension-module"]

src/lib.rs

use std::os::raw::c_char;
use std::ptr;

use pyo3_ffi::*;

static mut MODULE_DEF: PyModuleDef = PyModuleDef {
    m_base: PyModuleDef_HEAD_INIT,
    m_name: "string_sum\0".as_ptr().cast::<c_char>(),
    m_doc: "A Python module written in Rust.\0"
        .as_ptr()
        .cast::<c_char>(),
    m_size: 0,
    m_methods: unsafe { METHODS.as_mut_ptr().cast() },
    m_slots: std::ptr::null_mut(),
    m_traverse: None,
    m_clear: None,
    m_free: None,
};

static mut METHODS: [PyMethodDef; 2] = [
    PyMethodDef {
        ml_name: "sum_as_string\0".as_ptr().cast::<c_char>(),
        ml_meth: PyMethodDefPointer {
            _PyCFunctionFast: sum_as_string,
        },
        ml_flags: METH_FASTCALL,
        ml_doc: "returns the sum of two integers as a string\0"
            .as_ptr()
            .cast::<c_char>(),
    },
    // A zeroed PyMethodDef to mark the end of the array.
    PyMethodDef::zeroed()
];

// The module initialization function, which must be named `PyInit_<your_module>`.
#[allow(non_snake_case)]
#[no_mangle]
pub unsafe extern "C" fn PyInit_string_sum() -> *mut PyObject {
    PyModule_Create(ptr::addr_of_mut!(MODULE_DEF))
}

pub unsafe extern "C" fn sum_as_string(
    _self: *mut PyObject,
    args: *mut *mut PyObject,
    nargs: Py_ssize_t,
) -> *mut PyObject {
    if nargs != 2 {
        PyErr_SetString(
            PyExc_TypeError,
            "sum_as_string() expected 2 positional arguments\0"
                .as_ptr()
                .cast::<c_char>(),
        );
        return std::ptr::null_mut();
    }

    let arg1 = *args;
    if PyLong_Check(arg1) == 0 {
        PyErr_SetString(
            PyExc_TypeError,
            "sum_as_string() expected an int for positional argument 1\0"
                .as_ptr()
                .cast::<c_char>(),
        );
        return std::ptr::null_mut();
    }

    let arg1 = PyLong_AsLong(arg1);
    if !PyErr_Occurred().is_null() {
        return ptr::null_mut();
    }

    let arg2 = *args.add(1);
    if PyLong_Check(arg2) == 0 {
        PyErr_SetString(
            PyExc_TypeError,
            "sum_as_string() expected an int for positional argument 2\0"
                .as_ptr()
                .cast::<c_char>(),
        );
        return std::ptr::null_mut();
    }

    let arg2 = PyLong_AsLong(arg2);
    if !PyErr_Occurred().is_null() {
        return ptr::null_mut();
    }

    match arg1.checked_add(arg2) {
        Some(sum) => {
            let string = sum.to_string();
            PyUnicode_FromStringAndSize(string.as_ptr().cast::<c_char>(), string.len() as isize)
        }
        None => {
            PyErr_SetString(
                PyExc_OverflowError,
                "arguments too large to add\0".as_ptr().cast::<c_char>(),
            );
            std::ptr::null_mut()
        }
    }
}

With those two files in place, now maturin needs to be installed. This can be done using Python’s package manager pip. First, load up a new Python virtualenv, and install maturin into it:

$ cd string_sum
$ python -m venv .env
$ source .env/bin/activate
$ pip install maturin

Now build and execute the module:

$ maturin develop
# lots of progress output as maturin runs the compilation...
$ python
>>> import string_sum
>>> string_sum.sum_as_string(5, 20)
'25'

As well as with maturin, it is possible to build using setuptools-rust or manually. Both offer more flexibility than maturin but require further configuration.

Using Python from Rust

To embed Python into a Rust binary, you need to ensure that your Python installation contains a shared library. The following steps demonstrate how to ensure this (for Ubuntu).

To install the Python shared library on Ubuntu:

sudo apt install python3-dev

While most projects use the safe wrapper provided by pyo3, you can take a look at the orjson library as an example on how to use pyo3-ffi directly. For those well versed in C and Rust the tutorials from the CPython documentation can be easily converted to rust as well.