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pyproject.toml
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58 lines (52 loc) · 1.54 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "lore-book"
dynamic = ["version"]
description = "The spellbook for your codebase — chronicle decisions, lore, and context your AI companions can actually read."
readme = "README.md"
license = {file = "LICENSE"}
license-expression = "FSL-1.1-MIT"
authors = [
{name = "Jason Johnson", email = "jrj@p7n.net"},
]
keywords = ["ai", "developer-tools", "documentation", "copilot", "context", "knowledge-management"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Software Development :: Documentation",
"Topic :: Utilities",
]
requires-python = ">=3.10"
dependencies = [
"typer>=0.12",
"pyyaml>=6.0",
"gitpython>=3.1",
"rich>=13.0",
"textual>=0.75",
"watchdog>=4.0",
]
[project.optional-dependencies]
# Full semantic search (installs PyTorch + sentence-transformers, ~200-400MB)
semantic = [
"sentence-transformers>=3.0",
]
# Everything
all = [
"lore-book[semantic]",
]
[project.scripts]
lore = "lore.cli:app"
[project.urls]
Homepage = "https://github.com/CptPlastic/lore-book"
Repository = "https://github.com/CptPlastic/lore-book"
Issues = "https://github.com/CptPlastic/lore-book/issues"
[tool.hatch.version]
path = "src/lore/__init__.py"
[tool.hatch.build.targets.wheel]
packages = ["src/lore"]