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setup.py
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setup.py
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from setuptools import find_packages, setup
import versioneer
# Parse requirements.txt
with open("requirements.txt") as f:
required = f.read().splitlines()
# try:
# import pypandoc
# long_description = pypandoc.convert_file('README.md', 'rst')
# except (IOError, ImportError):
long_description = "Always know what to expect from your data. (See https://github.com/great-expectations/great_expectations for full description)."
config = {
"description": "Always know what to expect from your data.",
"author": "The Great Expectations Team",
"url": "https://github.com/great-expectations/great_expectations",
"author_email": "team@greatexpectations.io",
"version": versioneer.get_version(),
"cmdclass": versioneer.get_cmdclass(),
"install_requires": required,
"extras_require": {
"spark": ["pyspark>=2.3.2"],
"sqlalchemy": ["sqlalchemy>=1.2"],
"airflow": ["apache-airflow[s3]>=1.9.0", "boto3>=1.7.3"],
"gcp": [
"google-cloud>=0.34.0",
"google-cloud-storage>=1.28.0",
"google-cloud-secret-manager>=1.0.0",
"pybigquery==0.4.15",
],
"redshift": ["psycopg2>=2.8"],
"s3": ["boto3>=1.14"],
"snowflake": ["snowflake-sqlalchemy>=1.2"],
},
"packages": find_packages(exclude=["docs*", "tests*", "examples*"]),
"entry_points": {
"console_scripts": ["great_expectations=great_expectations.cli:main"]
},
"name": "great_expectations",
"long_description": long_description,
"license": "Apache-2.0",
"keywords": "data science testing pipeline data quality dataquality validation datavalidation",
"include_package_data": True,
"classifiers": [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Intended Audience :: Other Audience",
"Topic :: Scientific/Engineering",
"Topic :: Software Development",
"Topic :: Software Development :: Testing",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
],
}
setup(**config)