
from setuptools import setup, find_packages
import pathlib
import os.path
import codecs

BASE_DIR = pathlib.Path(__file__).parent.resolve()


def readme():
    with open(f'{BASE_DIR}/README.rst') as f:
        return f.read()


def requirements():
    with open(f'{BASE_DIR}/requirements.txt') as f:
        return f.read().splitlines()


def get_package_version(rel_path):

    def read(_rel_path):
        here = os.path.abspath(os.path.dirname(__file__))
        with codecs.open(os.path.join(here, _rel_path), 'r') as fp:
            return fp.read()

    for line in read(rel_path).splitlines():
        if line.startswith('__version__'):
            delim = '"' if '"' in line else "'"
            return line.split(delim)[1]
    else:
        raise RuntimeError("Unable to find version string.")


setup(
    name='nerblackbox',
    version=get_package_version("nerblackbox/__about__.py"),
    author='Felix Stollenwerk',
    author_email='felix.stollenwerk@arbetsformedlingen.se',
    description='fine-tune pretrained transformer-based models for named entity recognition',
    long_description=readme(),
    long_description_content_type='text/x-rst',
    keywords=[
        'NLP',
        'NER',
        'named entity recognition',
        'BERT',
        'transformer',
        'pytorch',
    ],
    url='https://pypi.org/project/nerblackbox',
    license='Apache 2.0',
    packages=find_packages(),
    setup_requires=['pytest-runner'],
    tests_require=['pytest'],
    install_requires=requirements(),
    python_requires=">=3.6",
    entry_points='''
            [console_scripts]
            nerbb=nerblackbox.cli:main
        ''',
    include_package_data=True,
    zip_safe=False,
    classifiers=[
        'License :: OSI Approved :: Apache Software License',
        'Development Status :: 2 - Pre-Alpha',
        'Programming Language :: Python :: 3.6',
        'Programming Language :: Python :: 3.7',
        'Programming Language :: Python :: 3.8',
        'Operating System :: Unix',
        'Topic :: Text Processing :: Linguistic',
        'Topic :: Scientific/Engineering :: Artificial Intelligence',
        'Intended Audience :: Developers',
        'Intended Audience :: Education',
        'Intended Audience :: Science/Research',
    ],
)
