pyproject.toml

[project]
name = "cli"
version = "0.1.0"
description = "Effortlessly segment spectral images using the siapy package."
authors = [{ name = "janezlapajne", email = "janez.lapajne@kis.si" }]
dependencies = [
    "siapy>=0.4.0",
    "loguru>=0.7.2",
    "pydantic-settings>=2.4.0",
    "typer>=0.12.3",
    "xgboost>=2.1.1",
]
requires-python = "==3.10.*"
readme = "README.md"
license = { text = "MIT" }

[project.scripts]
siapy-cli = "main:app"

[tool.pdm]
distribution = true

[tool.pdm.build]
source-includes = ["source/", "main.py"]

[tool.pdm.scripts]
siapy-cli.cmd = "main.py"
siapy-cli.env_file.override = ".env"

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

[tool.pdm.dev-dependencies]
lint = ["ruff>=0.4.8", "mypy>=1.10.1", "pandas-stubs>=2.2.2.240603"]
dev = ["pre-commit>=3.7.1", "tomli>=2.0.1", "codespell>=2.3.0"]

[tool.mypy]
mypy_path = "stubs"

[[tool.mypy.overrides]]
module = "spectral"
ignore_missing_imports = true

[[tool.mypy.overrides]]
module = "sklearn.*"
ignore_missing_imports = true

[tool.ruff]
extend-exclude = []
exclude = []
lint.ignore = ["F811"]
src = ["source/", "main.py"]

[tool.codespell]
ignore-words-list = "janezlapajne"
skip = 'dist/*, docs, LICENCE, *.lock, *.toml, *.cff'
count = true
check-hidden = false