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pyproject.toml
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83 lines (74 loc) · 1.73 KB
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[project]
name = "omop-graph"
version = "1.0.4"
description = "Explainable, OMOP-native knowledge graph traversal and pathfinding"
readme = "README.md"
requires-python = ">=3.12"
authors = [
{ name = "Georgie Kennedy", email = "georgie.kennedy@unsw.edu.au" }
]
license = "Apache-2.0"
keywords = [
"OMOP",
"OHDSI",
"clinical-data",
"health-informatics",
"sqlalchemy",
"knowledge-graph",
"LLM-grounding",
"real-world-evidence",
"rapidfuzz",
"omop-llm",
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"Intended Audience :: Healthcare Industry",
"Topic :: Scientific/Engineering :: Medical Science Apps.",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
]
dependencies = [
"omop-alchemy>=0.6.0",
"orm-loader>=0.3.15",
"psycopg2-binary>=2.9.11",
"sqlalchemy>=2.0.45",
"typing-extensions>=4.15.0",
"typer",
]
[project.optional-dependencies]
faiss = [
"omop-emb[faiss]==0.4.0",
]
pgvector = [
"omop-emb[pgvector]==0.4.0",
]
emb = [
"omop-emb[all]==0.4.0"
]
[dependency-groups]
dev = [
"ipython>=9.8.0",
"mypy>=1.19.1",
"pytest>=9.0.2",
"pytest-cov>=7.0.0",
"rich>=14.2.0",
"ruff>=0.14.10",
"omop-emb[all]==0.4.0",
"mkdocs<2.0",
"mkdocs-material",
"mkdocstrings[python]",
"mkdocs-mermaid2-plugin",
"mkdocs-table-reader-plugin",
"mkdocs-macros-plugin",
]
[project.scripts]
omop-graph = "omop_graph.cli:app"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/omop_graph"]