setup.py

# Copyright IBM Inc. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
# Authors:
#   Vassilis Vassiliadis


from __future__ import print_function

# To use a consistent encoding
from os import path

# Always prefer setuptools over distutils
from setuptools import find_packages, setup

here = path.abspath(path.dirname(__file__))

# Get the long description from the relevant file
# with open(path.join(here, 'DESCRIPTION.rst'), encoding='utf-8') as f:
#    long_description = f.read()

long_description = ""

setup(
    name='st4sd-runtime-service',

    # 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='1.0.0',

    description='Runtime service of Simulation Toolkit for Scientific Discovery',
    long_description=long_description,

    # The project's main homepage.
    url='https://github.ibm.com/st4sd/st4sd-runtime-service',

    # Author details
    author='Vassilis Vassiliadis',
    author_email='vassilis.vassiliadis@ibm.com',

    # Choose your license
    license='IBM',

    # 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',

        # 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 :: 3.7',
        'Programming Language :: Python :: 3.8',
        'Programming Language :: Python :: 3.9',
        'Programming Language :: Python :: 3.10',
    ],

    # What does your project relate to?
    keywords='hpc workflows experiments throughput',

    # You can just specify the packages manually here if your project is
    # simple. Or you can use find_packages().
    packages=find_packages(".", exclude=['deployment', 'docs', 'tests*']),
    package_dir={'': '.'},

    # 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

    # VV: Add `st4sd-runtime-core` here in the future
    install_requires=[
        'pytest', 'flask<=2.1.2', 'flask_restx', 'werkzeug<=2.1.2', 'flask-cors', 'tinydb',
        'kubernetes', 'stream_zip', 'six', 'pydantic>=2.0.0'
    ],

    # 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={},

    # 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'],
    # },

    package_data={},

    # 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': [
    #        'sample=sample:main',
    #    ],
    # },

    scripts=[
        "app.py",
    ]
)