from setuptools import setup

setup(
    name="text-fabric",
    packages=[
        "tf",
        "tf.about",
        "tf.advanced",
        "tf.client",
        "tf.client.make",
        "tf.convert",
        "tf.core",
        "tf.dataset",
        "tf.search",
        "tf.server",
        "tf.volumes",
        "tf.writing",
    ],
    install_requires=[
        "wheel",
        "rpyc",
        "flask",
        "psutil",
        "markdown",
        "ipython",
        "requests",
        "pygithub>=1.47",
        "pygithub>=1.47",
        "python-gitlab>=3.5.0",
        "pyyaml>=5.3",
    ],
    python_requires=">=3.6.3",
    include_package_data=True,
    exclude_package_data={
        "": ["text_fabric.egg-info", "__pycache__", ".DS_Store", "docs", "tests"],
    },
    zip_safe=False,
    entry_points={
        "console_scripts": [
            "text-fabric = tf.server.start:main",
            "text-fabric-zip = tf.advanced.zipdata:main",
            "text-fabric-make = tf.client.make.build:main",
        ]
    },
    version='10.0.0',
    description="""Processor and browser for Text Fabric Data""",
    author="Dirk Roorda",
    author_email="text.annotation@icloud.com",
    url="https://github.com/annotation/text-fabric",
    keywords=[
        "text",
        "linguistics",
        "database",
        "graph",
        "hebrew",
        "bible",
        "peshitta",
        "quran",
        "cuneiform",
        "uruk",
        "greek",
        "syriac",
        "akkadian",
        "babylonian",
    ],
    classifiers=[
        "Development Status :: 4 - Beta",
        "Environment :: Other Environment",
        "Framework :: Jupyter",
        "Intended Audience :: Developers",
        "Intended Audience :: Education",
        "Intended Audience :: Religion",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: MIT License",
        "Natural Language :: English",
        "Natural Language :: Hebrew",
        "Natural Language :: Greek",
        "Operating System :: MacOS :: MacOS X",
        "Operating System :: Microsoft :: Windows :: Windows 10",
        "Operating System :: POSIX :: Linux",
        "Programming Language :: Python :: 3 :: Only",
        "Programming Language :: Python :: Implementation :: CPython",
        "Programming Language :: JavaScript",
        "Topic :: Religion",
        "Topic :: Scientific/Engineering :: Information Analysis",
        "Topic :: Sociology :: History",
        "Topic :: Text Processing :: Filters",
        "Topic :: Text Processing :: Linguistic",
        "Topic :: Text Processing :: Markup",
    ],
    long_description="""\
Tools to read text corpora with (linguistic) annotations
and process them efficiently.
With a built in web-interface for querying a corpus.
More info on https://annotation.github.io/text-fabric/tf
""",
)