[project]
name = "brewmatch"
version = "0.1.0"
description = "Coffee recommendation system using ML - recommends coffee beans based on taste preferences"
readme = "README.md"
requires-python = ">=3.13"
dependencies = [
    "flask>=3.1.3",
    "flask-cors>=6.0.2",
    "gunicorn>=25.3.0",
    "kagglehub>=1.0.0",
    "matplotlib>=3.10.8",
    "numpy>=2.4.3",
    "optuna>=4.8.0",
    "pandas>=3.0.2",
    "pyarrow>=23.0.1",
    "scikit-learn>=1.8.0",
    "seaborn>=0.13.2",
    "tabulate>=0.10.0",
    "torch>=2.11.0",
    "tqdm>=4.66.5",
]

[project.optional-dependencies]
cuda = ["torch>=2.11.0"]

[project.scripts]
download = "brewmatch.data.download:main"
preprocess = "brewmatch.data.preprocess:main"
train = "brewmatch.train:main"
evaluate = "brewmatch.evaluate:main"
experiment = "brewmatch.experiment:main"
serve = "brewmatch.api.app:main"

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

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

[[tool.uv.index]]
name = "pytorch-cu130"
url = "https://download.pytorch.org/whl/cu130"

[tool.uv.sources]
torch = [
    { index = "pytorch-cu130", extra = "cuda" },
]