mirror of
https://github.com/goharbor/harbor.git
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104 lines
3.7 KiB
Python
104 lines
3.7 KiB
Python
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""" The missing harbor python SDK
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See: https://github.com/tobegit3hub/harbor-py
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"""
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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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setup(
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name='harbor-py',
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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='1.2.0',
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description='The missing harbor python SDK',
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# The project's main homepage.
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url='https://github.com/tobegit3hub/harbor-py',
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# Author details
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author='tobe',
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author_email='tobeg3oogle@gmail.com',
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# Choose your license
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license='Apache Software',
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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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'Topic :: Software Development :: Build Tools',
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# Pick your license as you wish (should match "license" above)
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'License :: OSI Approved :: Apache Software 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 :: 3.3',
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'Programming Language :: Python :: 3.4',
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'Programming Language :: Python :: 3.5',
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],
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# What does your project relate to?
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keywords='docker registry distribution harbor python sdk',
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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']),
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packages=['harborclient'],
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# Alternatively, if you want to distribute just a my_module.py, uncomment
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# this:
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# py_modules=["my_module"],
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# List run-time dependencies here. These will be installed by pip when
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# your 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=['peppercorn'],
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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,
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# for 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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# 'sample': ['package_data.dat'],
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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. See:
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# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
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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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# 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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# 'harbor=harborclient:main',
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# ],
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#},
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)
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