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setup.py
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from setuptools import setup, find_packages
# from vector_etl import __version__
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="vector-etl",
version="0.1.7.1",
author="Jide Ogunjobi",
author_email="jide@contextdata.ai",
description="Lightweight ETL pipeline for processing data into vector databases",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/ContextData/vector_etl",
packages=find_packages(exclude=["tests", "tests.*"]),
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
],
python_requires=">=3.7",
install_requires=[
"boto3",
"botocore",
"cohere",
"cffi",
"openai",
"psycopg2-binary",
"pinecone-client",
"requests",
"tiktoken",
"python-dotenv",
"pydantic",
"mysql-connector-python",
"pymysql",
"pandas",
"qdrant-client",
"singlestoredb",
"weaviate-client",
"azure-storage-blob",
"google-cloud-storage",
"snowflake-connector-python",
"stripe",
"vecs",
"simple-salesforce",
"google-generativeai",
"anthropic",
"pympler",
"unstructured[all-docs]",
"dropbox",
"zenpy",
"lancedb",
"pyyaml",
"google-auth",
"google-auth-oauthlib",
"google-auth-httplib2",
"google-api-python-client",
"unstructured-client",
"box-sdk-gen",
"pymongo",
"neo4j",
"python-magic",
"pytest",
"nltk",
"pymilvus",
],
entry_points={
"console_scripts": [
"vector-etl=vector_etl.main:main",
],
},
include_package_data=True,
package_data={
"vector_etl": ["config/examples/*.yaml"],
},
)