setup.py

from __future__ import print_function
try:
    from setuptools import setup
except Exception:
    from distutils.core import setup
import os
import sys

join = os.path.join


def find_packages():
    import os
    packages = []
    walker = os.walk('src')
    prefix = join(os.path.curdir, 'src')
    for thisdir, itsdirs, itsfiles in walker:
        if '__init__.py' in itsfiles:
            packages.append(thisdir[len(prefix) - 1:])

    return packages


def find_data():
    import os
    import re
    suffixes = ['yaml', 'nc', 'net', 'irr', 'phy', 'ptb',
                'sum', 'voc', 'txt', 'xls', 'graffle']
    data_pattern = re.compile(
        r'.*(.|_)(' + '|'.join(suffixes) + ')$')
    data = []
    prefix = join(os.path.curdir, 'src', 'PseudoNetCDF')
    walker = os.walk('src')
    for thisdir, itsdirs, itsfiles in walker:
        if thisdir != os.path.join('src',
                                   'PseudoNetCDF.egg-info'):
            data.extend([join(thisdir[len(prefix) - 1:], f)
                         for f in itsfiles
                         if data_pattern.match(f) is not None])

    return data


packages = find_packages()
data = find_data()


long_desc = """NetCDF, NCO, and CDO are fantastic softwares that I use,
emulate, and admire. The primary drawbacks are restrictions on which
scientific data sources they will and won't work with, and what types
of operations they will and won't do. PseudoNetCDF was originally just
a NetCDF-like interface for many data formats, but has grown to include
many functionalities from NCO and CDO. This is a platform independent,
easy to install software to make scientific data manipulation easy."""

script_list = [
    'scripts/pncmadis2pnceval.py', 'scripts/pncaqsraw4pnceval.py',
    'scripts/pncaqsrest4pnceval.py', 'scripts/pncasos4pnceval.py',
    'scripts/pnc1d.py', 'scripts/pnc2d.py',
    'scripts/pncboundaries.py', 'scripts/pncdiurnal.py',
    'scripts/pncdump', 'scripts/pncdump.py', 'scripts/pnceval',
    'scripts/pnceval.py', 'scripts/pncgen', 'scripts/pncgen.py',
    'scripts/pncglobal2cmaq.py', 'scripts/pncload',
    'scripts/pncmap.py', 'scripts/pncqq.py',
    'scripts/pncscatter.py', 'scripts/pncts.py',
    'scripts/pncvertprofile.py', 'scripts/pncview',
    'scripts/pncview.py', 'scripts/pncwindrose.py'
]

requires_list = [
    'numpy>=1.2', 'netCDF4', 'scipy', 'matplotlib', 'pyyaml', 'pandas',
]

if sys.version_info.major == 3:
    if sys.version_info.minor < 8:
        requires_list.append('importlib_metadata')

extra_requires_dict = {
    'textfiles': ['pandas'],
    'projections': ['pyproj'],
    'mapping': ['basemap'],
}

setup(
    name='PseudoNetCDF',
    version='3.4.0',
    author='Barron Henderson',
    author_email='barronh@gmail.com',
    maintainer='Barron Henderson',
    maintainer_email='barronh@gmail.com',
    description=(
        'Like NetCDF and NCO, but works with NetCDF and other ' +
        'scientific formats.'
    ),
    long_description=long_desc,
    packages=packages,
    package_dir={'': 'src'},
    include_package_data=True,
    package_data={'PseudoNetCDF': data},
    scripts=script_list,
    install_requires=requires_list,
    extras_require=extra_requires_dict,
    entry_points={
        "xarray.backends": ["pseudonetcdf=PseudoNetCDF.xarray_plugin:PseudoNetCDFBackend"],
    },
    url='http://github.com/barronh/pseudonetcdf/',
    classifiers=[
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Operating System :: MacOS',
        'Operating System :: Microsoft :: Windows',
        'Operating System :: POSIX',
        'Topic :: Scientific/Engineering',
        'Topic :: Scientific/Engineering :: Atmospheric Science',
    ]
)