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302d5c4073
* Correctly specify dependency packages Include the requests package as part of setup.py, so pip will download and install it as a dependency. * Update URLs to point to main harbor git repo harbor-py was moved to the main harbor git repo in July 2016 but the URLs still point to the deprecated repository.
104 lines
3.7 KiB
Python
104 lines
3.7 KiB
Python
""" The missing harbor python SDK
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See: https://github.com/vmware/harbor/tree/master/contrib/sdk/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/vmware/harbor',
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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=['requests>2.2.0'],
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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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