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setup.py
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#!/usr/bin/env python
# coding: utf-8
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import print_function
from glob import glob
from os.path import join as pjoin
from setupbase import (
create_cmdclass, ensure_targets,
find_packages, combine_commands, ensure_python,
get_version, HERE
)
from setuptools import setup
# The name of the project
name = 'evidently'
# Ensure a valid python version
ensure_python('>=3.6')
# Get our version
version = get_version(pjoin(name, '_version.py'))
nb_path = pjoin(HERE, name, 'nbextension', 'static')
lab_path = pjoin(HERE, name, 'labextension')
# Representative files that should exist after a successful build
jstargets = [
pjoin(nb_path, 'index.js'),
# pjoin(HERE, 'lib', 'plugin.js'),
]
package_data_spec = {
name: [
'nbextension/static/*.*js*',
'nbextension/static/*.woff2',
'labextension/*.tgz'
]
}
data_files_spec = [
('share/jupyter/nbextensions/evidently',
nb_path, '*.js*'),
('share/jupyter/lab/extensions', lab_path, '*.tgz'),
('etc/jupyter/nbconfig/notebook.d', HERE, 'evidently.json')
]
cmdclass = create_cmdclass('jsdeps', package_data_spec=package_data_spec,
data_files_spec=data_files_spec)
cmdclass['jsdeps'] = combine_commands(
# install_npm(HERE, build_cmd='build:all'),
ensure_targets(jstargets),
)
setup_args = dict(
name=name,
description='Open-source tools to analyze, monitor, and debug machine learning model in production.',
version=version,
scripts=glob(pjoin('scripts', '*')),
cmdclass=cmdclass,
packages=find_packages(),
author='Emeli Dral',
author_email='[email protected]',
url='https://github.com/evidentlyai/evidently',
license='Apache License 2.0',
platforms="Linux, Mac OS X, Windows",
keywords=[],
classifiers=[],
include_package_data=True,
install_requires=[
"dataclasses",
"pandas",
"numpy",
"statsmodels",
"plotly",
"scipy",
"pyyaml",
"scikit-learn>=0.22.1",
"requests"
],
entry_points={
},
)
if __name__ == '__main__':
setup(**setup_args)