""" The missing harbor python SDK See: https://github.com/vmware/harbor/tree/master/contrib/sdk/harbor-py """ from setuptools import setup, find_packages from codecs import open from os import path setup( name='harbor-py', # 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='1.2.0', description='The missing harbor python SDK', # The project's main homepage. url='https://github.com/vmware/harbor', # Author details author='tobe', author_email='tobeg3oogle@gmail.com', # Choose your license license='Apache Software', # 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', 'Topic :: Software Development :: Build Tools', # Pick your license as you wish (should match "license" above) 'License :: OSI Approved :: Apache Software 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 :: 3.3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', ], # What does your project relate to? keywords='docker registry distribution harbor python sdk', # 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']), packages=['harborclient'], # Alternatively, if you want to distribute just a my_module.py, uncomment # this: # py_modules=["my_module"], # 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=['requests>2.2.0'], # 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={ # '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 # noqa # In this case, 'data_file' will be installed into '/my_data' #data_files=[('my_data', ['data/data_file'])], # 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': [ # 'harbor=harborclient:main', # ], #}, )