import imp
import os.path
from setuptools import find_packages
from setuptools import setup
import shlex
import subprocess
import sys


PY3 = sys.version_info[0] == 3
PY2 = sys.version_info[0] == 2
assert PY3 or PY2


here = os.path.abspath(os.path.dirname(__file__))
version = imp.load_source(
    '_version', os.path.join(here, 'labelme', '_version.py')).__version__
del here


install_requires = [
    'matplotlib',
    'numpy',
    'Pillow>=2.8.0',
    'PyYAML',
    'qtpy',
]

# Find python binding for qt with priority:
# PyQt5 -> PySide2 -> PyQt4,
# and PyQt5 is automatically installed on Python3.
QT_BINDING = None

try:
    import PyQt5  # NOQA
    QT_BINDING = 'pyqt5'
except ImportError:
    pass

if QT_BINDING is None:
    try:
        import PySide2  # NOQA
        QT_BINDING = 'pyside2'
    except ImportError:
        pass

if QT_BINDING is None:
    try:
        import PyQt4  # NOQA
        QT_BINDING = 'pyqt4'
    except ImportError:
        if PY2:
            sys.stderr.write(
                'Please install PyQt5, PySide2 or PyQt4 for Python2.\n'
                'Note that PyQt5 can be installed via pip for Python3.')
            sys.exit(1)
        assert PY3
        # PyQt5 can be installed via pip for Python3
        install_requires.append('pyqt5')
        QT_BINDING = 'pyqt5'
del QT_BINDING


if sys.argv[1] == 'release':
    commands = [
        'git tag v{:s}'.format(version),
        'git push origin master --tag',
        'python setup.py sdist',
        'twine upload dist/labelme-{:s}.tar.gz'.format(version),
    ]
    sys.exit(sum(subprocess.call(shlex.split(cmd)) for cmd in commands))


setup(
    name='labelme',
    version=version,
    packages=find_packages(),
    description='Image Polygonal Annotation with Python.',
    long_description=open('README.md').read(),
    long_description_content_type='text/markdown',
    author='Kentaro Wada',
    author_email='www.kentaro.wada@gmail.com',
    url='https://github.com/wkentaro/labelme',
    install_requires=install_requires,
    license='GPLv3',
    keywords='Image Annotation, Machine Learning',
    classifiers=[
        'Development Status :: 5 - Production/Stable',
        'Intended Audience :: Developers',
        'License :: OSI Approved :: MIT License',
        'Operating System :: POSIX',
        'Topic :: Internet :: WWW/HTTP',
    ],
    package_data={'labelme': ['icons/*', 'config/*.yaml']},
    entry_points={
        'console_scripts': [
            'labelme=labelme.app:main',
            'labelme_draw_json=labelme.cli.draw_json:main',
            'labelme_draw_label_png=labelme.cli.draw_label_png:main',
            'labelme_json_to_dataset=labelme.cli.json_to_dataset:main',
            'labelme_on_docker=labelme.cli.on_docker:main',
        ],
    },
)