#!/usr/bin/env python
# -*- coding: utf-8 -*-

# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from os import path
import io

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

NAME = "windrose"
with io.open(path.join(here, NAME, "version.py"), "rt", encoding="UTF-8") as f:
    exec(f.read())

with io.open(path.join(here, "README.md"), "rt", encoding="UTF-8") as f:
    long_description = f.read()

setup(
    name=NAME,
    # 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='0.0.2',
    version=__version__,
    description=(
        "Python Matplotlib, Numpy library to manage wind data, "
        "draw windrose (also known as a polar rose plot)"
    ),
    long_description=long_description,
    long_description_content_type="text/markdown",
    # The project's main homepage.
    url=__url__,
    # Author details
    author=__author__,
    author_email=__email__,
    # Choose your license
    license=__license__,
    # 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
        "Environment :: Console",
        # 'Topic :: Software Development :: Build Tools',
        "Intended Audience :: Developers",
        "Operating System :: OS Independent",
        # Specify the Python versions you support here. In particular, ensure
        # that you indicate whether you support Python 2, Python 3 or both.
        "Programming Language :: Cython",
        "Programming Language :: Python",
        # '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",
        "Programming Language :: Python :: 3.5",
        "Programming Language :: Python :: 3.6",
        # Pick your license as you wish (should match "license" above)
        # 'License :: CEA CNRS Inria Logiciel Libre License B (CeCILL-B)',
        "License :: OSI Approved :: BSD License",
    ],
    # What does your project relate to?
    keywords="python plot matplotlib numpy wind wind rose compass",
    # 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*"]),
    # 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=["matplotlib", "numpy"],
    # 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={
        "dev": ["check-manifest", "pytest"],
        "test": ["coverage", "pytest"],
        "advanced": ["pandas", "scipy"],
    },
    # 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={"samples": ["samples/*.py", "samples/*.csv"]},
    # 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'
    # 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.
    entry_points={"console_scripts": ["sample=sample:main"]},
)
