Retrieval-Lab/pyproject.toml at main · AshwinUgale/Retrieval-Lab · GitHub

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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "retrieval-lab"
version = "0.1.0"
description = "Corpus-specific retrieval benchmark and deterministic stage-level failure-attribution engine for RAG pipelines."
readme = "README.md"
requires-python = ">=3.10"
license = { file = "LICENSE" }
authors = [{ name = "Ashwin Ugale" }]
keywords = ["retrieval", "rag", "benchmark", "evaluation", "ir", "attribution"]
classifiers = [
    "Development Status :: 4 - Beta",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Information Analysis",
]

# Light core: numpy + stdlib only. Heavy integrations live behind extras.
dependencies = [
    "numpy>=1.24",
]

[project.optional-dependencies]
# Real embedding models (e5, bge, ...). Large downloads; opt-in.
real-embed = ["sentence-transformers>=2.2"]
# Hosted embedding APIs such as OpenAI. Requires provider credentials at runtime.
api-embed = ["openai>=1.0"]
# Cross-encoder reranking.
rerank = ["sentence-transformers>=2.2"]
# Approximate nearest-neighbour dense index.
ann = ["hnswlib>=0.7"]
# Everything needed to run the full test suite.
dev = [
    "pytest>=7",
    "ruff>=0.4",
]

[project.scripts]
retrieval-lab = "retrieval_lab.cli:main"

[project.urls]
Homepage = "https://github.com/AshwinUgale/Retrieval-Lab"
Repository = "https://github.com/AshwinUgale/Retrieval-Lab"
Issues = "https://github.com/AshwinUgale/Retrieval-Lab/issues"

[tool.hatch.build.targets.wheel]
packages = ["src/retrieval_lab"]

[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-q"
# Run the suite from a source checkout without an editable install.
pythonpath = ["src"]

[tool.ruff]
line-length = 100
target-version = "py310"

[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B"]