pyproject.toml

[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "predictive-medication-adherence-engine"
version = "0.1.0"
description = "AI-powered medication adherence prediction and intervention system"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
    {name = "OptumRx Innovation Team"}
]
keywords = ["healthcare", "medication-adherence", "machine-learning", "pharmacy"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Healthcare Industry",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

dependencies = [
    "fastapi>=0.104.0",
    "uvicorn[standard]>=0.24.0",
    "pydantic>=2.5.0",
    "pandas>=2.1.0",
    "numpy>=1.24.0",
    "scikit-learn>=1.3.0",
    "xgboost>=2.0.0",
    "anthropic>=0.7.0",
    "httpx>=0.25.0",
    "sqlalchemy>=2.0.0",
    "asyncpg>=0.29.0",
    "redis>=5.0.0",
    "celery>=5.3.0",
    "python-dotenv>=1.0.0",
    "structlog>=23.2.0",
    "prometheus-client>=0.19.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.4.0",
    "pytest-asyncio>=0.21.0",
    "pytest-cov>=4.1.0",
    "black>=23.11.0",
    "ruff>=0.1.5",
    "mypy>=1.7.0",
    "pre-commit>=3.6.0",
]
dashboard = [
    "streamlit>=1.28.0",
    "plotly>=5.18.0",
    "altair>=5.1.0",
]

[project.scripts]
pmae-api = "src.api.main:run"
pmae-train = "src.models.train:main"

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

[tool.black]
line-length = 100
target-version = ["py310", "py311"]

[tool.ruff]
line-length = 100
select = ["E", "F", "W", "I", "N", "UP", "B", "C4"]
ignore = ["E501"]

[tool.mypy]
python_version = "3.10"
warn_return_any = true
warn_unused_ignores = true
disallow_untyped_defs = true

[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]