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pyproject.toml
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80 lines (73 loc) · 1.92 KB
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[build-system]
requires = ["setuptools>=69", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "py-dockerdb"
version = "1.0.0"
description = "Provision Docker databases in Python — Postgres, Neo4j, MongoDB, MySQL, MSSQL with a unified one-call API"
readme = { file = "README.md", content-type = "text/markdown" }
requires-python = ">=3.10"
authors = [
{ name = "Amadou Wolfgang Cisse", email = "amadou.6e@googlemail.com" }
]
dependencies = [
"psycopg2-binary",
"docker",
"pymongo",
"pydantic",
"pyodbc",
"mysql-connector-python",
"redis",
"opensearch-py",
"qdrant-client",
"pydos2unix",
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Operating System :: OS Independent",
"Topic :: Database",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: System :: Systems Administration",
]
[project.urls]
Homepage = "https://github.com/amadou-6e/docker-db.git"
[project.optional-dependencies]
test = [
"pytest",
"pytest-timeout",
"nbclient",
"nbformat",
"ipykernel",
"pydocstyle",
]
graph = [
"neo4j",
"llama-index-graph-stores-neo4j",
"langchain-community",
]
rag = [
"llama-index",
"llama-index-vector-stores-postgres",
"llama-index-embeddings-langchain",
"langchain",
"langchain-community",
"sentence-transformers",
]
[tool.setuptools]
include-package-data = true
[tool.setuptools.packages.find]
where = ["."]
include = ["docker_db*"]
[tool.setuptools.package-data]
docker_db = ["tests/data/configs/*/*"]
[tool.pydocstyle]
convention = "numpy"
match-dir = "(?!build|dist|\\.venv|\\.pytest_cache).*"