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setup.py
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setup.py
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import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name = 'cbtool',
version = '2.0.11',
author = 'Marcio Silva, Michael Galaxy',
author_email = '[email protected]',
description = 'CloudBench: Cloud Rapid Experimentation and Analysis Toolkit',
long_description=long_description,
long_description_content_type="text/markdown",
url = 'https://github.com/ibmcb/cbtool',
# Currently, the only thing we provided on PyPi is the core library.
# Getting a fully-fledged instance of CB installed will require
# a proper DEB to be prepared. This just solves the issue of talking
# talking to the cloudbench API using an already-installed version
# of cloudbench.
packages = ['cbtool', 'cbtool/lib', 'cbtool/lib/api', 'cbtool/lib/auxiliary', 'cbtool/lib/clouds', 'cbtool/lib/operations', 'cbtool/lib/remote', 'cbtool/lib/stores'],
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Topic :: Software Development :: Build Tools',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 2.7',
],
download_url = 'https://github.com/ibmcb/cbtool/archive/2.0.tar.gz',
keywords = ['cloudbench', 'cloud', 'benchmarking', "spec"],
# Currently, we've only listed packages listed as `= pip`
# from the PUBLIC_dependencies.txt file, because pip install
# can only recursively attempt to install pip-registered projects.
# If we want to enable *all* dependencies, we're going to have to fork
# and register cbtool-needed projects under the CloudBench user account on PyPi.
install_requires = [
'prettytable',
'python-daemon',
'twisted',
'webob',
'beaker',
'python-redis',
'pymongo',
'pypureomapi',
'python-novaclient',
'python-neutronclient',
'python-cinderclient',
'python-glanceclient',
'softlayer',
'boto',
'apache-libcloud',
'pydocker',
'pylxd',
'pykube',
'docutils',
'markup',
'pyyaml',
'ruamel-yaml',
'urllib3',
'httplib2shim',
'python-dateutil',
'pillow',
'jsonschema'
],
)