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105 lines (91 loc) 路 3.48 KB
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#!/usr/bin/env python3
"""
EmbeddingBridge - Setup Script
Copyright (C) 2024 ProgramComputer
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
"""
from setuptools import setup, find_packages
import os
import shutil
import sys
from pathlib import Path
# Copy shared library to package directory if available
def copy_shared_lib():
"""Copy shared library to package directory"""
# Define source paths
source_paths = [
"../lib", # Project root lib directory
"../../lib", # One level up from project root
]
# Define lib names based on platform
if sys.platform.startswith('linux'):
lib_names = ["libembedding_bridge.so", "libembeddingbridge.so"]
elif sys.platform.startswith('darwin'):
lib_names = ["libembedding_bridge.dylib", "libembeddingbridge.dylib"]
elif sys.platform.startswith('win'):
lib_names = ["embedding_bridge.dll", "embeddingbridge.dll"]
else:
lib_names = [
"libembedding_bridge.so", "libembeddingbridge.so",
"libembedding_bridge.dylib", "libembeddingbridge.dylib",
"embedding_bridge.dll", "embeddingbridge.dll"
]
# Create lib directory in package
os.makedirs("embeddingbridge/lib", exist_ok=True)
# Try to find and copy the library
for source_path in source_paths:
for lib_name in lib_names:
source_file = os.path.join(source_path, lib_name)
if os.path.exists(source_file):
print(f"Copying {source_file} to embeddingbridge/lib/")
shutil.copy2(source_file, f"embeddingbridge/lib/{lib_name}")
return True
print("Warning: Could not find shared library. Please build it first.")
return False
# Try to copy the shared library
copy_shared_lib()
# Read requirements from file
with open('requirements.txt') as f:
requirements = f.read().splitlines()
# Read long description from README
long_description = """
# EmbeddingBridge
A high-performance vector embedding storage and management system.
## Features
- Fast vector storage and retrieval
- Integration with S3 for dataset management
- Compatible with Pinecone dataset format
- Python interface with ctypes bindings to C core
"""
setup(
name="embeddingbridge",
version="0.1.0",
author="ProgramComputer",
author_email="info@programcomputer.example",
description="Vector embedding storage and management",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/yourusername/embeddingbridge",
packages=find_packages(),
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: GNU General Public License v2 (GPLv2)",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
python_requires=">=3.7",
install_requires=requirements,
include_package_data=True,
package_data={
"embeddingbridge": ["lib/*.so", "lib/*.dylib", "lib/*.dll"],
},
)