pyproject.toml

[project]
name = "energy-forecasting"
version = "0.1.0"
description = "Production-grade MLOps pipeline for household energy-consumption forecasting."
requires-python = ">=3.10"
dependencies = [
    "fastapi>=0.115",
    "uvicorn>=0.34",
    "streamlit>=1.44",
    "pandas>=2.2",
    "numpy>=2.2",
    "scikit-learn>=1.6",
    "xgboost>=3.0",
    "joblib>=1.4",
    "mlflow>=2.21",
    "dvc>=3.59",
    "prefect>=3.3",
    "pydantic>=2.11",
    "pydantic-settings>=2.9",
    "requests>=2.32",
    "python-dotenv>=1.1",
    "matplotlib>=3.10",
]

[project.optional-dependencies]
dev = [
    "ruff>=0.6",
    "mypy>=1.10",
    "pytest>=8.0",
    "pytest-cov>=5.0",
    "pre-commit>=3.7",
    "pandas-stubs",
    "types-requests",
]

# ── Tooling ──────────────────────────────────────────────────────────────────
# pyproject is the source of truth for top-level deps and tooling config.
# requirements.txt is retained for the current Docker build and will be retired
# once the multi-service containerization phase lands.

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

[tool.ruff.lint]
select = ["E", "F", "I", "UP"]

[tool.mypy]
python_version = "3.10"
strict = true
files = ["src"]
mypy_path = "src"

[[tool.mypy.overrides]]
module = [
    "pandas.*",
    "numpy.*",
    "xgboost.*",
    "joblib.*",
    "mlflow.*",
    "sklearn.*",
]
ignore_missing_imports = true

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]
addopts = "-q"

[tool.coverage.run]
source = ["src"]
omit = ["*/__pycache__/*"]

[tool.coverage.report]
exclude_also = [
    "if __name__ == .__main__.:",
    "if track:",
]