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setup.py
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"""
A setuptools for the Data Profiler Application and Python Libraries
"""
# To use a consistent encoding
from codecs import open
import os
from os import path
from datetime import datetime
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# Load package version
from dataprofiler.version import __version__
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
LONG_DESCRIPTION = f.read()
# Get the install_requirements from requirements.txt
with open(path.join(here, 'requirements.txt'), encoding='utf-8') as f:
required_packages = f.read().splitlines()
# Get the install_requirements from requirements.txt
with open(path.join(here, 'requirements-ml.txt'), encoding='utf-8') as f:
ml_packages = f.read().splitlines()
resource_dir = 'resources/'
default_labeler_files = [(d, [os.path.join(d, f) for f in files])
for d, folders, files in os.walk(resource_dir)]
DESCRIPTION = "What is in your data? Detect schema, statistics and entities in almost any file."
setup(
name='DataProfiler',
version=__version__,
python_requires='>=3.6',
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
long_description_content_type='text/markdown',
# The project's main homepage.
url='https://github.com/capitalone/data-profiler',
# Author details
author='Jeremy Goodsitt, Austin Walters, Anh Truong, Grant Eden',
# Choose your license
license='Apache License, Version 2.0',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 5 - Production/Stable',
# Indicate who your project is intended for
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Information Technology',
'Intended Audience :: Science/Research',
'Intended Audience :: System Administrators',
'Topic :: Education',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Information Analysis',
'Topic :: Security',
'Topic :: Software Development :: Build Tools',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: Apache Software License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 3 or both.
'Programming Language :: Python :: 3',
],
# What does your project relate to?
keywords='Data Investigation',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
# packages=find_packages(exclude=['src/test', 'src/sample']),
packages=find_packages(exclude=["tests", "examples"]),
# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=required_packages,
# List of run-time dependencies for the labeler. These will be installed
# by pip when someone installs the project[<label>].
extras_require={ 'ml': ml_packages },
# # If there are data files included in your packages that need to be
# # installed, specify them here. If using Python 2.6 or less, then these
# # have to be included in MANIFEST.in as well.
# package_data={
# 'data': [],
# },
#
# # Although 'package_data' is the preferred approach, in some case you may
# # need to place data files outside of your packages. See:
# # http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# # In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
data_files=default_labeler_files,
include_package_data=True,
)
print("find_packages():", find_packages())