pyproject.toml

[project]
name = "predictive-modeling"
version = "0.1.0"
description = "Predictive modeling project using linear regression"
requires-python = ">=3.11"

[tool.ruff]
# Line length to match Black's default
line-length = 88
target-version = "py311"

# Exclude common directories
exclude = [
    ".git",
    ".venv",
    "venv",
    "__pycache__",
    "build",
    "dist",
]

[tool.ruff.lint]
# Enable these rule categories:
# E/W - pycodestyle errors and warnings
# F - pyflakes
# I - isort (import sorting)
# N - pep8-naming
# UP - pyupgrade (modernize Python code)
# B - flake8-bugbear (find likely bugs)
select = ["E", "F", "I", "N", "UP", "B", "W"]

# Allow autofix for all enabled rules
fixable = ["ALL"]
unfixable = []

[tool.ruff.lint.per-file-ignores]
# Ignore import rules in __init__.py files
"__init__.py" = ["F401", "N999"]
# X_train, X_test, X are standard ML naming conventions
"Sports_predictions/**" = ["N806", "N999"]
"data/**" = ["N806"]

[tool.mypy]
python_version = "3.11"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = false  # Set to true when you want stricter type checking
ignore_missing_imports = true  # Useful for ML libraries without type stubs

# Incremental type checking
incremental = true
cache_dir = ".mypy_cache"

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = "test_*.py"
python_functions = "test_*"
addopts = "-v --tb=short"

[tool.bandit]
exclude_dirs = ["tests", ".venv", "venv"]
skips = ["B101"]  # Skip assert_used warning (common in tests)