setup.py

# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
#     http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file 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.
"""Placeholder docstring"""
from __future__ import absolute_import

import os
from glob import glob

from setuptools import setup, find_packages


def read(fname):
    """
    Args:
        fname:
    """
    return open(os.path.join(os.path.dirname(__file__), fname)).read()


def read_version():
    return read("VERSION").strip()


# Declare minimal set for installation
required_packages = [
    "attrs==20.3.0",
    "boto3>=1.20.21",
    "google-pasta",
    "numpy>=1.9.0",
    "protobuf>=3.1",
    "protobuf3-to-dict>=0.1.5",
    "smdebug_rulesconfig==1.0.1",
    "importlib-metadata>=1.4.0",
    "packaging>=20.0",
    "pandas",
    "pathos",
]

# Specific use case dependencies
extras = {
    "local": [
        "urllib3==1.26.8",
        "docker-compose==1.29.2",
        "docker~=5.0.0",
        "PyYAML==5.4.1",  # PyYAML version has to match docker-compose requirements
    ],
    "scipy": ["scipy==1.5.4"],
}
# Meta dependency groups
extras["all"] = [item for group in extras.values() for item in group]
# Tests specific dependencies (do not need to be included in 'all')
extras["test"] = (
    [
        extras["all"],
        "tox==3.24.5",
        "flake8==4.0.1",
        "pytest==6.0.2",
        "pytest-cov==3.0.0",
        "pytest-rerunfailures==10.2",
        "pytest-timeout==2.1.0",
        "pytest-xdist==2.4.0",
        "coverage>=5.2, <6.2",
        "mock==4.0.3",
        "contextlib2==21.6.0",
        "awslogs==0.14.0",
        "black==22.1.0",
        "stopit==1.1.2",
        "apache-airflow==2.2.3",
        "apache-airflow-providers-amazon==3.0.0",
        "attrs==20.3.0",
        "fabric==2.6.0",
        "requests==2.27.1",
        "sagemaker-experiments==0.1.35",
    ],
)

setup(
    name="sagemaker",
    version=read_version(),
    description="Open source library for training and deploying models on Amazon SageMaker.",
    packages=find_packages("src"),
    package_dir={"": "src"},
    py_modules=[os.path.splitext(os.path.basename(path))[0] for path in glob("src/*.py")],
    include_package_data=True,
    long_description=read("README.rst"),
    author="Amazon Web Services",
    url="https://github.com/aws/sagemaker-python-sdk/",
    license="Apache License 2.0",
    keywords="ML Amazon AWS AI Tensorflow MXNet",
    classifiers=[
        "Development Status :: 5 - Production/Stable",
        "Intended Audience :: Developers",
        "Natural Language :: English",
        "License :: OSI Approved :: Apache Software License",
        "Programming Language :: Python",
        "Programming Language :: Python :: 3.6",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: 3.8",
        "Programming Language :: Python :: 3.9",
    ],
    install_requires=required_packages,
    extras_require=extras,
    entry_points={
        "console_scripts": [
            "sagemaker-upgrade-v2=sagemaker.cli.compatibility.v2.sagemaker_upgrade_v2:main",
        ]
    },
)