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setup.py
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setup.py
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# Copyright 2019 Atalaya Tech, Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import setuptools
import versioneer
with open("README.md", "r", encoding="utf8") as f:
long_description = f.read()
install_requires = [
"aiohttp",
"alembic",
"urllib3<=1.25.11",
"boto3",
"cerberus",
"certifi",
"click>=7.0",
"configparser",
"deepmerge",
"dependency-injector>=4.0,<5.0",
"docker",
"flask",
"grpcio",
"gunicorn",
"humanfriendly",
"numpy",
"packaging",
"prometheus_client",
"protobuf>=3.8.0",
"psutil",
# python-dateutil required by pandas and boto3, this makes sure the version
# works for both
"python-dateutil>=2.7.3,<3.0.0",
"python-json-logger",
"requests",
"ruamel.yaml>=0.15.0",
"schema",
"sqlalchemy-utils<0.36.8",
"sqlalchemy>=1.3.0,<1.4.0",
"tabulate",
'contextvars;python_version < "3.7"',
'dataclasses;python_version < "3.7"',
"chardet",
]
yatai_service_requires = [
"grpcio~=1.34.0", # match the grpcio-tools version used in yatai docker image
"google-cloud-storage",
"azure-cli",
"aws-sam-cli==0.33.1",
"psycopg2",
"psycopg2-binary",
]
model_server_requires = [
"opentracing",
"py_zipkin",
"jaeger_client",
]
test_requires = [
"idna<=2.8", # for moto
"ecdsa==0.14", # for moto
"black==19.10b0",
"codecov",
"coverage>=4.4",
"flake8>=3.8.2",
"imageio>=2.5.0",
"mock>=2.0.0",
"moto==1.3.14",
"pandas",
"pylint>=2.5.2",
"pytest-cov>=2.7.1",
"pytest>=5.4.0",
"pytest-asyncio",
"scikit-learn",
]
dev_requires = [
"flake8>=3.8.2",
"gitpython>=2.0.2",
# grpcio-tools version must be kept in sync with the version used in
# `protos/generate-docker.sh` script
"grpcio-tools~=1.34.0",
"grpcio-reflection~=1.34.0",
"pylint>=2.5.2",
"setuptools",
"tox-conda>=0.2.0",
"tox>=3.12.1",
"twine",
] + test_requires
docs_requires = [
"recommonmark",
"sphinx",
"sphinx-click",
"sphinx_rtd_theme",
"sphinxcontrib-fulltoc",
"sphinxcontrib-spelling",
"pyenchant",
]
dev_all = install_requires + dev_requires + docs_requires
extras_require = {
"dev": dev_all,
"test": test_requires,
"yatai_service": yatai_service_requires,
"model_server": model_server_requires,
"doc_builder": docs_requires, # 'doc_builder' is required by readthedocs.io
}
setuptools.setup(
name="BentoML",
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
author="bentoml.org",
author_email="[email protected]",
description="A framework for machine learning model serving",
long_description=long_description,
license="Apache License 2.0",
long_description_content_type="text/markdown",
install_requires=install_requires,
extras_require=extras_require,
url="https://github.com/bentoml/BentoML",
packages=setuptools.find_packages(exclude=["tests*"]),
classifiers=[
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: Implementation :: CPython",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
python_requires=">=3.6.1",
entry_points={"console_scripts": ["bentoml=bentoml.cli:cli"]},
project_urls={
"Bug Reports": "https://github.com/bentoml/BentoML/issues",
"BentoML User Slack Group": "https://bit.ly/2N5IpbB",
"Source Code": "https://github.com/bentoml/BentoML",
},
include_package_data=True, # Required for '.cfg' files under bentoml/config
)