from setuptools import setup, find_packages  # Always prefer setuptools over distutils
from codecs import open  # To use a consistent encoding
import os


REPO_DIR = os.path.dirname(os.path.realpath(__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()
def readme():
    with open('README.rst') as f:
        return f.read()


def get_requirements():
    """Parses and returns installation requirements."""
    path = os.path.join(REPO_DIR, "requirements.txt")
    return [line.strip() for line in open(path).readlines()
            if not line.startswith("#")]

setup(
    name='FATS',

    # 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/development.html#single-sourcing-the-version
    version='1.3.6',

    description='Library with compilation of features for time series',
    long_description=readme(),
    # The project's main homepage.
    url=' http://isadoranun.github.io/tsfeat/FeaturesDocumentation.html',

    download_url = 'https://github.com/isadoranun/tsfeat',

    # Author details
    author='Isadora Nun',
    author_email='isadoranun@seas.harvard.edu',

    # Choose your license
    license='MIT licence',

    # 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 :: Science/Research',
        'Topic :: Scientific/Engineering :: Astronomy',
        'Topic :: Software Development :: Libraries :: Python Modules',


        # Pick your license as you wish (should match "license" above)
        # 'License :: OSI Approved :: MIT 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 :: 3.2',
        'Programming Language :: Python :: 3.3',
        'Programming Language :: Python :: 3.4',
    ],

    # What does your project relate to?
    keywords='times series features, light curves',

    # 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 = ['FATS'],

    include_package_data=True,

    zip_safe=False,

    # 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/technical.html#install-requires-vs-requirements-files
    install_requires=get_requirements()

    # 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]
    
    # isa
    # 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.
    
    # isa
    # 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
    # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
    
    # isa
    # 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.
    
    # isa
    # entry_points={
    #     'console_scripts': [
    #         'sample=sample:main',
    #     ],
    # },
)