Python binary package builder (via Cython)


Keywords
merak, cython, binary, package, build
License
Apache-2.0
Install
pip install merak==0.2.2

Documentation

Merak

Merak is a package building toolkit.

This project is started as an attempt to implement a tool that builds a single Cython extension from a Python package, based on the discussion on StackOverflow - Collapse multiple submodules to one Cython extension. See the Idea section below.

More features and functionalities may be added in the future.

Install

To install the current release:

$ pip install merak

To upgrade Merak to the latest version, add --upgrade flag to the above command.

Usage

Currently, Merak only supports the cythonize command for building binary extension from a Python package. More features and functionalities may be added in the future.

To build a binary extension from a Python package:

$ merak cythonize PACKAGE_PATH OUTPUT_PATH

The package built will be placed at <OUTPUT_PATH>/<PACKAGE_NAME>. If -f is specified, any existing file / directory at this path will be overwritten.

usage: merak cythonize [-h] [-v] [-k] [-s SEP] [-f] path output

positional arguments:
  path               Python package path
  output             Output directory

optional arguments:
  -h, --help         show this help message and exit
  -v, --verbose      Log verbosity level. Default -> WARNING, -v -> INFO, -vv
                     or above -> DEBUG.
  -k, --color        Display logging messages in colors.
  -s SEP, --sep SEP  Module layer separator, must be Python identifier.
                     Defaults to '_'
  -f, --force        Force overwrite if target path exists
  --py-cmd PY_CMD    Python interpreter to be used for building Cython
                     package. Defaults to value of environment variable
                     "PYTHON_CMD", or "python" if "PYTHON_CMD" not specified.

Example

An example package foo is included in the examples/ directory. It consists of one subpackage bar with a module baz containing a function do() in it.

To build the foo package, run the following command in the project root:

$ merak cythonize examples/foo foo-build

The foo binary package can then be found at foo-build/foo. Change directory to foo-build and use an interactive Python session to try it out:

>>> from foo.bar import baz
__main__:1: DeprecationWarning: Deprecated since Python 3.4. Use importlib.util.find_spec() instead.
>>> baz.do()
Running: foo.bar.baz.do()

The deprecation warning seems to originate from the import logic in the compiled __init__ extension by Cython. It should cause no execution problems at all.

The binary package can be built into a Python distribution via setuptools by simply adding a setup.py in the output directory that includes the cython extension as package data. For this example, add setup.py to foo-build/ with the following content:

import setuptools

setuptools.setup(
    name="foo",
    version="0.1.0",
    packages=["foo"],
    include_package_data=True,
    package_data={"foo": ["*"]},
)

and run

$ python setup.py bdist_wheel

The distribution can be found at foo-build/dist/.

Idea

Based on this answer, it appears that it is possible to build a single Cython extension with multiple modules included in it.

However, it does NOT work with multi-level packages. Cython builds a C source file for each module with an initializer named PyInit_xxx, which depends on the base name of the module. As the function is defined in the global scope, a name collision would happen if the same base name is used for different modules. For instance, the following package would have a name collision for __init__.py and base.py:

foo/
  __init__.py
  bar/
    __init__.py
    base.py
  baz/
    __init__.py
    base.py

Here, we solve the problem in two steps:

  1. Module Flattening: We move all modules to the base layer, with name constructed from their original relative path: path.replace(path_separator, sep), where sep is a legal Python identifier. For example, foo/bar/base.py -> foo/bar_sep_base.py if sep="_sep_".
  2. Import Redirection: We inject a finder inside the main __init__.py that redirects dotted-paths to their flattened counterparts. Using the above example, the finder redirects the import foo.bar.base to foo.bar_sep_base.

The injected finder is based on this answer with some modifications. See the template for implementation detail.

The result would contain a single __init__ extension inside the package folder. The package folder is still required for the builtin importer to load it as a package, rather than a module. The above example would result in a foo/ folder with a single __init__ Cython extension in it.

Resources

License

Apache License 2.0