Files
deb-python-dcos/setup.py
José Armando García Sancio 838da66e2f dcos-97 Implements installing a subcommand
There is quite a bit going on in this commit. Here is a high level
description of all of the changes:

* Improved the README to include information for running the
  integrations tests now that we have subcommand management support.
* Change the clean script to also delete the build directory.
* Removed requirement on the DCOS_PATH environment variable. We now
  assume the DCOS CLI installation directory based on the location of
  the dcos cli binary
* Adds support for installing subcommand from python wheels. The
  packages are install under the 'subcommands' directory.
* Extended the `dcos help` to look into the 'subcommands'
  directory for the excutables that extend the cli.
* Fix the root `dcos` executable to not use the DCOS_PATH environment
  variable to discover subcommand. It now discovers subcommand based
  on the location of the root (`dcos`) executable.
* Adds `dcos subcommand` for managing the installation, listing and
  the removal of subcommands.
* Adds dependencies on pkginfo and virtualenv. We need pkginfo to query
  information about the package. We need virtualenv to create
  virtual environment for each subcommand installed.
2015-03-11 17:05:41 -07:00

125 lines
4.1 KiB
Python

from setuptools import setup, find_packages
from codecs import open
from os import path
from dcos.api import constants
# TODO: what license should we use?
here = path.abspath(path.dirname(__file__))
# Get the long description from the relevant file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='dcos',
# Versions should comply with PEP440. 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=constants.version,
description='DCOS Command Line Interface',
long_description=long_description,
# The project's main homepage.
url='https://github.com/mesosphere/CLI-poc',
# Author details
author='Mesosphere, Inc.',
author_email='team@mesosphere.io',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# 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 :: Developers',
'Intended Audience :: Information Technology',
'Topic :: Software Development :: User Interfaces',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: TODO License',
# 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 :: 2.6',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.2',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
],
# What does your project relate to?
keywords='mesos apache marathon mesosphere command datacenter',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['contrib', 'docs', 'tests*']),
# List run-time dependencies here. These will be installed by pip when your
# project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=[
'docopt',
'gitpython',
'jsonschema',
'pkginfo',
'portalocker',
'pygments',
'pystache',
'requests',
'toml',
'virtualenv',
],
# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax, for
# example:
# $ pip install -e .[dev,test]
extras_require={
'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 less, then these
# have to be included in MANIFEST.in as well.
package_data={
'dcos': ['data/*'],
},
# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages.
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
# data_files=[('my_data', ['data/data_file'])],
data_files=[],
# 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.
entry_points={
'console_scripts': [
'dcos=dcos.cli.main:main',
'dcos-help=dcos.cli.help.main:main',
'dcos-config=dcos.cli.config.main:main',
'dcos-marathon=dcos.cli.marathon.main:main',
'dcos-package=dcos.cli.package.main:main',
'dcos-subcommand=dcos.cli.subcommand.main:main',
],
},
scripts=[
'bin/env-setup',
]
)