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setup.py
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setup.py
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import os
from importlib.machinery import SourceFileLoader
from setuptools import setup, find_packages
version = SourceFileLoader(
'mlflow.version', os.path.join('mlflow', 'version.py')).load_module().VERSION
# Get a list of all files in the JS directory to include in our module
def package_files(directory):
paths = []
for (path, _, filenames) in os.walk(directory):
for filename in filenames:
paths.append(os.path.join('..', path, filename))
return paths
# Prints out a set of paths (relative to the mlflow/ directory) of files in mlflow/server/js/build
# to include in the wheel, e.g. "../mlflow/server/js/build/index.html"
js_files = package_files('mlflow/server/js/build')
models_container_server_files = package_files("mlflow/models/container")
alembic_files = ["../mlflow/store/db_migrations/alembic.ini",
"../mlflow/temporary_db_migrations_for_pre_1_users/alembic.ini"]
setup(
name='mlflow',
version=version,
packages=find_packages(exclude=['tests', 'tests.*']),
package_data={"mlflow": js_files + models_container_server_files + alembic_files},
install_requires=[
'alembic',
'azure-storage-blob>=12.0',
'click>=7.0',
'cloudpickle',
'databricks-cli>=0.8.7',
'requests>=2.17.3',
'six>=1.10.0',
'waitress; platform_system == "Windows"',
'gunicorn; platform_system != "Windows"',
'Flask',
'numpy',
'pandas',
'python-dateutil',
'protobuf>=3.6.0',
'gitpython>=2.1.0',
'pyyaml',
'querystring_parser',
'docker>=4.0.0',
'entrypoints',
'sqlparse',
'sqlalchemy<=1.3.13',
'gorilla',
'prometheus-flask-exporter',
],
extras_require={
'extras': [
"scikit-learn; python_version >= '3.5'",
# scikit-learn 0.20 is the last version to support Python 2.x & Python 3.4.
"scikit-learn==0.20; python_version < '3.5'",
'boto3>=1.7.12',
'mleap>=0.16.0',
'azure-storage-blob>=12.0',
'google-cloud-storage',
'azureml-core>=1.2.0'
],
'sqlserver': [
"mlflow-dbstore",
],
'aliyun-oss': [
"aliyunstoreplugin",
],
},
entry_points='''
[console_scripts]
mlflow=mlflow.cli:cli
''',
zip_safe=False,
author='Databricks',
description='MLflow: An ML Workflow Tool',
long_description=open('README.rst').read(),
license='Apache License 2.0',
classifiers=[
'Intended Audience :: Developers',
'Programming Language :: Python :: 3.6',
],
keywords='ml ai databricks',
url='https://mlflow.org/',
python_requires='>=3.5',
project_urls={
'Bug Tracker': 'https://github.com/mlflow/mlflow/issues',
'Documentation': 'https://mlflow.org/docs/latest/index.html',
'Source Code': 'https://github.com/mlflow/mlflow'
},
)