[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "ccdp"
version = "0.1.0"
description = "Car Crash Damage Predictor — damage identification + repair cost estimation"
readme = "README.md"
requires-python = ">=3.10"
authors = [{ name = "Abhishek Roy" }]
dependencies = [
    "pyyaml>=6.0",
    "requests>=2.31",
    "typer>=0.12",
    "rich>=13.7",
    "pydantic>=2.6",
]

[project.optional-dependencies]
ml = [
    "torch>=2.2",
    "torchvision>=0.17",
    "ultralytics>=8.1",
    "xgboost>=2.0",
    "scikit-learn>=1.4",
    "pandas>=2.2",
    "numpy>=1.26",
    "pillow>=10.2",
    "opencv-python-headless>=4.9",
    "easyocr>=1.7",
]
serve = [
    "fastapi>=0.110",
    "uvicorn>=0.27",
    "gradio>=4.20",
    "python-multipart>=0.0.9",
]
dev = [
    "pytest>=8.0",
    "pytest-cov>=4.1",
    "ruff>=0.3",
    "ipykernel>=6.29",
    "jupyterlab>=4.1",
]

[project.scripts]
ccdp = "ccdp.cli:app"

[tool.setuptools.packages.find]
where = ["src"]

[tool.setuptools.package-data]
# Ship the bundled Stanford Cars class-name map so the ML identifier can map
# class indices → make/model on deployments that never downloaded the dataset.
"ccdp.identification" = ["data/*.json"]

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