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Create pip packages for JdeRobot

Francisco Pérez edited this page Jul 9, 2018 · 4 revisions

Setting up the package

First of all you will need this directory tree:

dir
    |_ my_module
    |    |_ __init__.py
    |    |_ xxxx.py
    |    |_ ...
    |_ setup.py
    |_ setup.cfg

The content of my_module is the source code of you python application (it can contain submodules, don't forget all the __init__.py files!!) In the setup.py file, you can configure different metadata for the package as: dependencies with other pip packages, version number of the package, descriptions, etc. Here's an example of the setup.py file (adapted from this repository):

"""A setuptools based setup module.

See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""

# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from os import path
# io.open is needed for projects that support Python 2.7
# It ensures open() defaults to text mode with universal newlines,
# and accepts an argument to specify the text encoding
# Python 3 only projects can skip this import
from io import open

here = path.abspath(path.dirname(__file__))

# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
    long_description = f.read()

# Arguments marked as "Required" below must be included for upload to PyPI.
# Fields marked as "Optional" may be commented out.

setup(
    # This is the name of your project. The first time you publish this
    # package, this name will be registered for you. It will determine how
    # users can install this project, e.g.:
    #
    # $ pip install sampleproject
    #
    # And where it will live on PyPI: https://pypi.org/project/sampleproject/
    #
    # There are some restrictions on what makes a valid project name
    # specification here:
    # https://packaging.python.org/specifications/core-metadata/#name
    name='your-package-name',  # Required

    # Versions should comply with PEP 440:
    # https://www.python.org/dev/peps/pep-0440/
    #
    # For a discussion on single-sourcing the version across setup.py and the
    # project code, see
    # https://packaging.python.org/en/latest/single_source_version.html
    version='0.1.0',  # Required

    # This is a one-line description or tagline of what your project does. This
    # corresponds to the "Summary" metadata field:
    # https://packaging.python.org/specifications/core-metadata/#summary
    description='A package for real PiBot from JdeRobot',  # Required

    # This is an optional longer description of your project that represents
    # the body of text which users will see when they visit PyPI.
    #
    # Often, this is the same as your README, so you can just read it in from
    # that file directly (as we have already done above)
    #
    # This field corresponds to the "Description" metadata field:
    # https://packaging.python.org/specifications/core-metadata/#description-optional
    long_description=long_description,  # Optional

    # Denotes that our long_description is in Markdown; valid values are
    # text/plain, text/x-rst, and text/markdown
    #
    # Optional if long_description is written in reStructuredText (rst) but
    # required for plain-text or Markdown; if unspecified, "applications should
    # attempt to render [the long_description] as text/x-rst; charset=UTF-8 and
    # fall back to text/plain if it is not valid rst" (see link below)
    #
    # This field corresponds to the "Description-Content-Type" metadata field:
    # https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
    long_description_content_type='text/markdown',  # Optional (see note above)

    # This should be a valid link to your project's main homepage.
    #
    # This field corresponds to the "Home-Page" metadata field:
    # https://packaging.python.org/specifications/core-metadata/#home-page-optional
    url='https://github.com/jderobot/jderobot.git',  # Optional

    # This should be your name or the name of the organization which owns the
    # project.
    author='Author name',  # Optional

    # This should be a valid email address corresponding to the author listed
    # above.
    author_email='[email protected]',  # Optional

    # Classifiers help users find your project by categorizing it.
    #
    # For a list of valid classifiers, see https://pypi.org/classifiers/
    classifiers=[  # Optional
        # How mature is this project? Common values are
        #   3 - Alpha
        #   4 - Beta
        #   5 - Production/Stable
        'Development Status :: 3 - Alpha',

        # Indicate who your project is intended for
        'Intended Audience :: Education',
	'Intended Audience :: Developers',
        'Topic :: Software Development :: Build Tools',
	'Topic :: Education',

        # Pick your license as you wish
	'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',

        # Specify the Python versions you support here. In particular, ensure
        # that you indicate whether you support Python 2, Python 3 or both.
        #'Programming Language :: Python :: 2',
        'Programming Language :: Python :: 2.7',
        #'Programming Language :: Python :: 3',
        #'Programming Language :: Python :: 3.4',
        'Programming Language :: Python :: 3.5',
        #'Programming Language :: Python :: 3.6',
    ],

    # This field adds keywords for your project which will appear on the
    # project page. What does your project relate to?
    #
    # Note that this is a string of words separated by whitespace, not a list.
    keywords='',  # Optional

    # You can just specify package directories manually here if your project is
    # simple. Or you can use find_packages().
    #
    # Alternatively, if you just want to distribute a single Python file, use
    # the `py_modules` argument instead as follows, which will expect a file
    # called `my_module.py` to exist:
    #
    #   py_modules=["my_module"],
    #
    packages=find_packages(exclude=['contrib', 'docs', 'tests']),  # Required

    # This field lists other packages that your project depends on to run.
    # Any package you put here will be installed by pip when your project is
    # installed, so they must be valid existing projects.
    #
    # For an analysis of "install_requires" vs pip's requirements files see:
    # https://packaging.python.org/en/latest/requirements.html
    install_requires=['opencv-python','RPi.GPIO'],  # Optional

    # List additional groups of dependencies here (e.g. development
    # dependencies). Users will be able to install these using the "extras"
    # syntax, for example:
    #
    #   $ pip install sampleproject[dev]
    #
    # Similar to `install_requires` above, these must be valid existing
    # projects.
    #extras_require={  # Optional
    #    'dev': ['check-manifest'],
    #    'test': ['coverage'],
    #},

    # If there are data files included in your packages that need to be
    # installed, specify them here.
    #
    # If using Python 2.6 or earlier, then these have to be included in
    # MANIFEST.in as well.
    #package_data={  # Optional
    #    'sample': ['package_data.dat'],
    #},

    # Although 'package_data' is the preferred approach, in some case you may
    # need to place data files outside of your packages. See:
    # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files
    #
    # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
    #data_files=[('my_data', ['data/data_file'])],  # Optional

    # To provide executable scripts, use entry points in preference to the
    # "scripts" keyword. Entry points provide cross-platform support and allow
    # `pip` to create the appropriate form of executable for the target
    # platform.
    #
    # For example, the following would provide a command called `sample` which
    # executes the function `main` from this package when invoked:
    #entry_points={  # Optional
    #    'console_scripts': [
    #        'sample=sample:main',
    #    ],
    #},

    # List additional URLs that are relevant to your project as a dict.
    #
    # This field corresponds to the "Project-URL" metadata fields:
    # https://packaging.python.org/specifications/core-metadata/#project-url-multiple-use
    #
    # Examples listed include a pattern for specifying where the package tracks
    # issues, where the source is hosted, where to say thanks to the package
    # maintainers, and where to support the project financially. The key is
    # what's used to render the link text on PyPI.
    project_urls={  # Optional
        'Bug Reports': 'https://answers.jderobot.org',
        'Forum': 'https://developers.jderobot.org',
        'Web': 'https://jderobot.org',
        'Source': 'https://github.com/jderobot/jderobot.git',
    },
)

Also, the setup.cfg file in which you can specify some more metadata, as include the license file and specify if the package supports python 2, or python 3 or both of them. Here's an example (provided by the same repo as the setup.py):

[metadata]
# This includes the license file in the wheel.
license_file = LICENSE.txt

[bdist_wheel]
# This flag says to generate wheels that support both Python 2 and Python
# 3. If your code will not run unchanged on both Python 2 and 3, you will
# need to generate separate wheels for each Python version that you
# support. Removing this line (or setting universal to 0) will prevent
# bdist_wheel from trying to make a universal wheel. For more see:
# https://packaging.python.org/tutorials/distributing-packages/#wheels
universal=1

And that's all our configuration!

Generating the package

Once you have your project configured, you may want to generate your package. Here you have two options, generate the package in your host, or generate it in a python virtual env.

Option 1 - Virtual environment

1. To create a python virtual env. Run:

$ python3 -m venv /tmp/pip
$ source /tmp/pip/bin/activate

and you will have an independent python installation on /tmp/pip (you can choose the directory you want). You can know that you are in the virtual environmet by the prompt, it will appear something like: (pip) $

2.Then install the dependencies:

(pip) $ pip install --upgrade pip setuptools wheel pandoc

3. And generate the package:

python setup.py sdist bdist_wheel

Option 2 - generate it from host

Just start from step 2 of the previous section.

Upload the package

This is the simplest step, first create an account on https://pypi.org Then install the twine program, that manage the package upload for us. (You can do this from your virtual env, also)

$ pip install --upgrade twine

And lastly, upload the package to pypi:

twine upload dist/*

It will ask for your pypi account credentials. If you want it to take it automatically just create a file .pypirc in your home

$ nano ~/.pypirc

and add the following:

[pypi]
repository: https://upload.pypi.org/legacy/
username: your_username
password: your_pass

RESOURCES

This is a very basic tutorial, if you want to know more about the pip package creation I let you some useful links:

José Barahona python packaging tutorial: https://github.com/jgbarah/presentations/tree/master/pip-packages Official documentation of python packaging: https://packaging.python.org/tutorials/packaging-projects/ Sample project if you want to test this tutorial: https://github.com/pypa/sampleproject http://www.ianbicking.org/docs/setuptools-presentation/