setup.py

# -*- coding: UTF-8 -*-
# !/usr/bin/python
# @time     :2019/11/01 10:17
# @author   :Mo
# @function :setup of nlg-yongzhuo
# @codes    :copy reference from https://github.com/TianWenQAQ/Kashgari/blob/master/setup.py


from setuptools import find_packages, setup
import pathlib
import codecs


# Package meta-data.
NAME = 'nlg-yongzhuo'
DESCRIPTION = 'text-summarization of extractive, ' \
              'include text_pronouns, text_teaser, mmr, text_rank, lead3, lda, lsi, nmf'
URL = 'https://github.com/yongzhuo/nlg-yongzhuo'
EMAIL = '1903865025@qq.com'
AUTHOR = 'yongzhuo'
LICENSE = 'MIT'

with codecs.open('README.md', 'r', 'utf8') as reader:
    long_description = reader.read()
with codecs.open('requirements.txt', 'r', 'utf8') as reader:
    install_requires = list(map(lambda x: x.strip(), reader.readlines()))

setup(name=NAME,
        version='0.0.4',
        description=DESCRIPTION,
        long_description=long_description,
        long_description_content_type="text/markdown",
        author=AUTHOR,
        author_email=EMAIL,
        url=URL,
        packages=find_packages(exclude=('test')),
        install_requires=install_requires,
        include_package_data=True,
        license=LICENSE,
        classifiers=['License :: OSI Approved :: MIT License',
                     'Programming Language :: Python :: 3.4',
                     'Programming Language :: Python :: 3.5',
                     'Programming Language :: Python :: 3.6',
                     'Programming Language :: Python :: 3.7',
                     'Programming Language :: Python :: 3.8',
                     'Programming Language :: Python :: Implementation :: CPython',
                     'Programming Language :: Python :: Implementation :: PyPy'],)


if __name__ == "__main__":
    print("setup ok!")

# 说明，tensorflow>=1.12.0 or tensorflow-gpu>=1.12.0
# 项目工程目录这里Keras-TextClassification，实际上，下边还要有一层keras_textclassification，也就是说，keras_textclassification和setup同一层
# data包里必须要有__init__.py，否则文件不会生成, .py文件才能copy

# step:
#     打开cmd
#     到达安装目录
#     python setup.py build
#     python setup.py install

# or

# python setup.py bdist_wheel --universal
# twine upload dist/*


# python web部署常见方式
# 1. gunicorn
# 2. uwsgi
# 3. FastCGI
# 4. WSGI
# 5. Tornado, Flask, FastAPI
# 6. Http
# 7. wsgiref
# 8. cgi, mod_wsgi