pyproject.toml

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

[project]
name = "commonpower"
version = "0.6.2"
authors = [
  { name="Michael Eichelbeck", email="michael.eichelbeck@tum.de" },
  { name="Hannah Markgraf", email="hannah.markgraf@tum.de" },
]
description = "A package for the exploration of safe single/multi-agent reinforcement learning in smart grids."
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.11,<3.13"
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
]

keywords = [
  "Power System",
  "Smart Grid",
  "Control",
  "Safety",
  "Simulation",
  "Reinforcement learning",
  "Multi-Agent Systems"
]

dependencies = [
  "wandb>=0.21.3,<1.0",
  "tensorboard>=2.20.0,<3.0",
  "matplotlib>=3.10.6,<4.0",
  "gurobipy>=12.0.3,<13.0",
  "pyomo>=6.9.4,<7.0",
  "prettytable>=3.16.0,<4.0",
  "stable-baselines3>=2.7.0,<3.0",
  "pandapower>=3.1.2,<4.0",
  "tqdm>=4.67.1,<5.0",
  "pydantic>=2.11.7,<3.0",
  "numpy>=2.3.2,<3.0",
  "jsonpickle>=4.1.1,<5.0",
  "pymongo>=4.14.1,<5.0",
  "d3rlpy>=2.8.1,<3.0",
]

[project.optional-dependencies]
ci = ["pytest>=8.4.1,<9.0"]
nn = ["torch>=2.8.0,<3.0", "ray[tune]>=2.49.0,<3.0", "hyperopt>=0.2.7,<1.0", "scikit-learn>=1.7.1,<2.0"]
full = ["jupyter>=1.1.1,<2.0", "torch>=2.8.0,<3.0", "ray[tune]>=2.49.0,<3.0", "hyperopt>=0.2.7,<1.0", "scikit-learn>=1.7.1,<2.0"]

docs = [
  "myst-parser>=4.0.1,<5.0", 
  "sphinx-autodoc-typehints>=2.5.0,<3.0", 
  "nbsphinx>=0.9.7,<1.0", 
  "sphinx-rtd-theme>=3.0.2,<4.0", 
  "sphinx-autorun>=2.0.0,<3.0"
]

[project.urls]
"Homepage" = "https://github.com/TUMcps/commonpower"
"Documentation" = "https://commonpower.readthedocs.io"

# Formatting
[tool.black]
line-length = 120
target-version = ["py310", "py311"]
skip-string-normalization = true

[tool.isort]
profile = "black"
line_length = 120

[tool.hatch.build]
exclude = [
    "node_modules/",
    ".venv/",
    "build/",
    "dist/",
]