#!/usr/bin/env python
# Licensed under a 3-clause BSD style license - see LICENSE.rst
import sys

# import ah_bootstrap
from setuptools import setup, find_packages, Extension

# Get some values from the setup.cfg
from configparser import RawConfigParser
conf = RawConfigParser()
conf.read(['setup.cfg'])
metadata = dict(conf.items('metadata'))

PACKAGENAME = metadata['package_name']
DESCRIPTION = metadata['description']
AUTHOR = metadata['author']
AUTHOR_EMAIL = metadata['author_email']
LICENSE = metadata['license']
URL = metadata['url']

# Get the long description from the package's docstring
__import__(PACKAGENAME)
package = sys.modules[PACKAGENAME]
LONG_DESCRIPTION = package.__doc__

# Define entry points for command-line scripts
# TODO: this shuold be automated (e.g. look for main functions and
# rename _ to -, and prepend 'ctapipe'
entry_points = {}
entry_points['console_scripts'] = [
    'ctapipe-info = ctapipe.tools.info:main',
    'ctapipe-camdemo = ctapipe.tools.camdemo:main',
    'ctapipe-dump-triggers = ctapipe.tools.dump_triggers:main',
    'ctapipe-chargeres-extract = ctapipe.tools.extract_charge_resolution:main',
    'ctapipe-chargeres-plot = ctapipe.tools.plot_charge_resolution:main',
    'ctapipe-dump-instrument=ctapipe.tools.dump_instrument:main',
    'ctapipe-event-viewer = ctapipe.tools.bokeh.file_viewer:main'
]

package.version.update_release_version()

# C Extensions
neighboursum_module = Extension('ctapipe.utils.neighbour_sum_c',
                                sources=['ctapipe/utils/neighbour_sum_c.cc'])

setup(name=PACKAGENAME,
      packages=find_packages(),
      version=package.version.get_version(pep440=True),
      description=DESCRIPTION,
      # these should be minimum list of what is needed to run (note
      # don't need to list the sub-dependencies like numpy, since
      # astropy already depends on it)
      install_requires=[
          'astropy>=1.3',
          'iminuit',
          'numpy',
          'pytest_runner',
          'scipy>=0.19',
          'tables',
          'tqdm',
          'traitlets',
          'psutil',
          'matplotlib>=2.0',
          'numba',
          'pandas',
          'bokeh>=1.0.1',
          'scikit-learn',
          'eventio==0.11.0',
      ],
      tests_require=[
          'pytest',
          'ctapipe-extra>=0.2.11',
          'pyhessio>=2.1',
      ],
      author=AUTHOR,
      author_email=AUTHOR_EMAIL,
      license=LICENSE,
      url=URL,
      long_description=LONG_DESCRIPTION,
      classifiers=[
          'Intended Audience :: Science/Research',
          'License :: OSI Approved :: BSD License',
          'Programming Language :: C',
          'Programming Language :: Cython',
          'Programming Language :: Python :: 3',
          'Programming Language :: Python :: Implementation :: CPython',
          'Topic :: Scientific/Engineering :: Astronomy',
          'Development Status :: 3 - Alpha',
      ],
      zip_safe=False,
      use_2to3=False,
      entry_points=entry_points,
      ext_modules=[neighboursum_module],
      package_data={
          '': ['tools/bokeh/*.yaml', 'tools/bokeh/templates/*.html'],
      }
      )