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setup.py
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73 lines (69 loc) · 2.53 KB
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"""
Setup configuration for Multi-Cloud Data Pipeline Framework
"""
from setuptools import setup, find_packages
import os
# Read the contents of README file
this_directory = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
# Read requirements
with open('requirements.txt') as f:
requirements = [line.strip() for line in f if line.strip() and not line.startswith('#')]
setup(
name='multi-cloud-data-pipeline',
version='1.0.0',
author='Alexandre',
author_email='yalexandrefcosta.dev@gmail.com',
description='A production-ready, cloud-agnostic data pipeline framework for Azure and GCP',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/AlexandreFCosta/multi-cloud-data-pipeline',
project_urls={
'Bug Reports': 'https://github.com/AlexandreFCosta/multi-cloud-data-pipeline/issues',
'Source': 'https://github.com/AlexandreFCosta/multi-cloud-data-pipeline',
'Documentation': 'https://multi-cloud-data-pipeline.readthedocs.io/',
},
packages=find_packages(where='src'),
package_dir={'': 'src'},
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Topic :: Software Development :: Libraries :: Python Modules',
'Topic :: Database',
'Topic :: System :: Distributed Computing',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Operating System :: OS Independent',
],
python_requires='>=3.8',
install_requires=requirements,
extras_require={
'dev': [
'pytest>=7.4.3',
'pytest-cov>=4.1.0',
'pytest-mock>=3.12.0',
'black>=23.12.1',
'flake8>=7.0.0',
'pylint>=3.0.3',
'mypy>=1.8.0',
],
'docs': [
'sphinx>=7.2.6',
'sphinx-rtd-theme>=2.0.0',
'sphinxcontrib-napoleon>=0.7',
],
},
entry_points={
'console_scripts': [
'multicloud-pipeline=multicloud_pipeline.cli:main',
],
},
keywords='data-engineering azure gcp pyspark databricks bigquery etl data-pipeline cloud spark',
include_package_data=True,
zip_safe=False,
)