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Download pyproject.toml from nvikou/techdocs-graphrag: direct link, hf CLI and curl.
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https://huggingface.co/spaces/nvikou/techdocs-graphrag/resolve/main/pyproject.toml
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hf download hf://spaces/nvikou/techdocs-graphrag/pyproject.toml
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curl -L -o pyproject.toml https://huggingface.co/spaces/nvikou/techdocs-graphrag/resolve/main/pyproject.toml
929 Bytes
| [build-system] | |
| requires = ["hatchling>=1.24"] | |
| build-backend = "hatchling.build" | |
| [project] | |
| name = "techdocs-graphrag" | |
| version = "0.1.0" | |
| description = "Assistant de documentation technique : recherche hybride vectorielle et graphe de connaissances Neo4j." | |
| readme = "README.md" | |
| requires-python = ">=3.12" | |
| license = { text = "MIT" } | |
| dependencies = [ | |
| "neo4j>=5.20", | |
| "openai>=1.40", | |
| "pydantic>=2.7", | |
| "pydantic-settings>=2.3", | |
| "streamlit>=1.38", | |
| "tenacity>=8.3", | |
| ] | |
| [project.optional-dependencies] | |
| dev = ["pytest>=8.2", "ruff>=0.6"] | |
| [project.scripts] | |
| techdocs-index = "techdocs_graphrag.cli:main" | |
| [tool.hatch.build.targets.wheel] | |
| packages = ["src/techdocs_graphrag"] | |
| [tool.pytest.ini_options] | |
| pythonpath = ["src"] | |
| testpaths = ["tests"] | |
| [tool.ruff] | |
| line-length = 100 | |
| target-version = "py312" | |
| [tool.ruff.lint] | |
| select = ["E", "F", "I", "B", "UP", "SIM", "RUF"] | |
| ignore = ["E501", "RUF001", "RUF002", "RUF003"] | |