trustgraph/trustgraph-flow/setup.py
cybermaggedon a4afff59a0
wip integrate falkordb (#211) (#213)
Co-authored-by: Avi Avni <avi.avni@gmail.com>
2024-12-19 16:17:07 +00:00

115 lines
3.6 KiB
Python

import setuptools
import os
import importlib
with open("README.md", "r") as fh:
long_description = fh.read()
# Load a version number module
spec = importlib.util.spec_from_file_location(
'version', 'trustgraph/flow_version.py'
)
version_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(version_module)
version = version_module.__version__
setuptools.setup(
name="trustgraph-flow",
version=version,
author="trustgraph.ai",
author_email="security@trustgraph.ai",
description="TrustGraph provides a means to run a pipeline of flexible AI processing components in a flexible means to achieve a processing pipeline.",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/trustgraph-ai/trustgraph",
packages=setuptools.find_namespace_packages(
where='./',
),
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
"Operating System :: OS Independent",
],
python_requires='>=3.8',
download_url = "https://github.com/trustgraph-ai/trustgraph/archive/refs/tags/v" + version + ".tar.gz",
install_requires=[
"trustgraph-base>=0.18,<0.19",
"urllib3",
"rdflib",
"pymilvus",
"langchain",
"langchain-core",
"langchain-text-splitters",
"langchain-community",
"requests",
"cassandra-driver",
"pulsar-client",
"pypdf",
"qdrant-client",
"tabulate",
"anthropic",
"pyyaml",
"prometheus-client",
"cohere",
"openai",
"neo4j",
"tiktoken",
"google-generativeai",
"ibis",
"jsonschema",
"aiohttp",
"pinecone[grpc]",
"falkordb",
],
scripts=[
"scripts/api-gateway",
"scripts/agent-manager-react",
"scripts/chunker-recursive",
"scripts/chunker-token",
"scripts/de-query-milvus",
"scripts/de-query-qdrant",
"scripts/de-query-pinecone",
"scripts/de-write-milvus",
"scripts/de-write-qdrant",
"scripts/de-write-pinecone",
"scripts/document-rag",
"scripts/embeddings-ollama",
"scripts/embeddings-vectorize",
"scripts/ge-query-milvus",
"scripts/ge-query-pinecone",
"scripts/ge-query-qdrant",
"scripts/ge-write-milvus",
"scripts/ge-write-pinecone",
"scripts/ge-write-qdrant",
"scripts/graph-rag",
"scripts/kg-extract-definitions",
"scripts/kg-extract-topics",
"scripts/kg-extract-relationships",
"scripts/metering",
"scripts/object-extract-row",
"scripts/oe-write-milvus",
"scripts/pdf-decoder",
"scripts/prompt-generic",
"scripts/prompt-template",
"scripts/rows-write-cassandra",
"scripts/run-processing",
"scripts/text-completion-azure",
"scripts/text-completion-azure-openai",
"scripts/text-completion-claude",
"scripts/text-completion-cohere",
"scripts/text-completion-googleaistudio",
"scripts/text-completion-llamafile",
"scripts/text-completion-ollama",
"scripts/text-completion-openai",
"scripts/triples-query-cassandra",
"scripts/triples-query-neo4j",
"scripts/triples-query-memgraph",
"scripts/triples-query-falkordb",
"scripts/triples-write-cassandra",
"scripts/triples-write-neo4j",
"scripts/triples-write-memgraph",
"scripts/triples-write-falkordb",
"scripts/wikipedia-lookup",
]
)