117 lines
4.0 KiB
Python
117 lines
4.0 KiB
Python
from setuptools import setup, find_packages
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from codecs import open
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from os import path
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from dcos.api import constants
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# TODO: what license should we use?
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here = path.abspath(path.dirname(__file__))
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# Get the long description from the relevant file
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with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
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long_description = f.read()
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setup(
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name='dcos',
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# Versions should comply with PEP440. For a discussion on single-sourcing
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# the version across setup.py and the project code, see
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# https://packaging.python.org/en/latest/single_source_version.html
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version=constants.version,
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description='DCOS Command Line Interface',
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long_description=long_description,
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# The project's main homepage.
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url='https://github.com/mesosphere/CLI-poc',
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# Author details
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author='Mesosphere, Inc.',
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author_email='team@mesosphere.io',
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# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
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classifiers=[
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# How mature is this project? Common values are
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# 3 - Alpha
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# 4 - Beta
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# 5 - Production/Stable
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'Development Status :: 3 - Alpha',
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# Indicate who your project is intended for
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'Intended Audience :: Developers',
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'Intended Audience :: Information Technology',
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'Topic :: Software Development :: User Interfaces',
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# Pick your license as you wish (should match "license" above)
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'License :: OSI Approved :: TODO License',
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# Specify the Python versions you support here. In particular, ensure
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# that you indicate whether you support Python 2, Python 3 or both.
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'Programming Language :: Python :: 2',
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'Programming Language :: Python :: 2.6',
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'Programming Language :: Python :: 2.7',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.2',
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'Programming Language :: Python :: 3.3',
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'Programming Language :: Python :: 3.4',
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],
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# What does your project relate to?
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keywords='mesos apache marathon mesosphere command datacenter',
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# You can just specify the packages manually here if your project is
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# simple. Or you can use find_packages().
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packages=find_packages(exclude=['contrib', 'docs', 'tests*']) + ['toml'],
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# List run-time dependencies here. These will be installed by pip when your
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# project is installed. For an analysis of "install_requires" vs pip's
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# requirements files see:
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# https://packaging.python.org/en/latest/requirements.html
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install_requires=[
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'docopt',
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'gitpython',
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'jsonschema',
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'portalocker',
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'pystache',
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'requests',
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],
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# List additional groups of dependencies here (e.g. development
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# dependencies). You can install these using the following syntax, for
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# example:
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# $ pip install -e .[dev,test]
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extras_require={
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'dev': ['check-manifest'],
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'test': ['coverage'],
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},
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# If there are data files included in your packages that need to be
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# installed, specify them here. If using Python 2.6 or less, then these
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# have to be included in MANIFEST.in as well.
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package_data={
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'dcos': ['data/*'],
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},
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# Although 'package_data' is the preferred approach, in some case you may
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# need to place data files outside of your packages.
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# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
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# data_files=[('my_data', ['data/data_file'])],
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data_files=[],
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# To provide executable scripts, use entry points in preference to the
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# "scripts" keyword. Entry points provide cross-platform support and allow
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# pip to create the appropriate form of executable for the target platform.
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entry_points={
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'console_scripts': [
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'dcos=dcos.cli.main:main',
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'dcos-help=dcos.cli.help.main:main',
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'dcos-config=dcos.cli.config.main:main',
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'dcos-marathon=dcos.cli.marathon.main:main',
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'dcos-app=dcos.cli.app.main:main',
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'dcos-package=dcos.cli.package.main:main',
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],
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},
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)
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