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setup.py
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55 lines (48 loc) · 2.02 KB
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import os
import sys
from setuptools import setup
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
requirements = ['boto3', 'marshmallow>=3.14,<4']
if sys.argv[-1] == 'publish-test':
os.system(f"cd {os.path.dirname(__file__)}")
os.system('rm -rf dist/ build/ amazon_textract_response_parser.egg-info/')
os.system('python3 setup.py sdist bdist_wheel')
os.system('twine check dist/*')
os.system('twine upload --repository pypitest dist/*')
sys.exit()
if sys.argv[-1] == 'publish':
script_path = str(f"cd {os.path.dirname(__file__)}")
os.system(script_path)
os.system('rm -rf dist/ build/ amazon_textract_response_parser.egg-info/')
os.system('python3 setup.py sdist bdist_wheel')
os.system('twine check dist/*')
os.system('twine upload --repository pypi dist/*')
sys.exit()
setup(name='amazon-textract-response-parser',
packages=['trp', 'a2i'],
version='1.0.3',
description='Easily parse JSON returned by Amazon Textract.',
install_requires=requirements,
extras_require={
"dev": ["pytest", "tabulate"]
},
scripts=['bin/amazon-textract-pipeline'],
long_description_content_type='text/markdown',
long_description=read('README.md'),
author='Amazon Rekognition Textract Demoes',
author_email='rekognition-textract-demos@amazon.com',
url='https://github.com/aws-samples/amazon-textract-response-parser',
keywords='amazon-textract-response-parser trp aws amazon textract ocr response parser',
license="Apache License Version 2.0",
classifiers=[
"Development Status :: 4 - Beta",
"Topic :: Utilities",
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
],
python_requires='>=3.8')