pyproject.toml

[project]
name = "rune-goblin"
version = "1.0.0"
description = "A fine-tuned spell-language dungeon game powered by openbmb/MiniCPM-V-4.6."
readme = "README.md"
requires-python = ">=3.10,<3.13"
license = { text = "Apache-2.0" }
authors = [{ name = "Rune Goblin" }]
dependencies = [
    # core game + schema
    "pydantic>=2.6",
    "python-dotenv>=1.0",
    # hugging face / data
    "huggingface-hub>=0.25",
    "hf-transfer>=0.1.6",
    "datasets>=2.19",
    # UI / serving
    "gradio>=4.44",
    "fastapi>=0.110",
    "uvicorn[standard]>=0.29",
    "modal>=1.4.3",
]

[project.optional-dependencies]
# Heavy ML stack for fine-tuning / local inference (installed via the
# "train" extra so a lightweight UI-only checkout stays small).
train = [
    "torch>=2.3",
    "transformers>=4.45",
    "peft>=0.12",
    "trl>=0.11",
    "accelerate>=0.33",
    "bitsandbytes>=0.43; platform_system == 'Linux'",
    "sentencepiece>=0.2",
    "protobuf>=4.25",
]
gguf = [
    "llama-cpp-python>=0.3.0",
]
dev = [
    "ruff>=0.6",
    "pytest>=8.0",
]

[project.scripts]
rune-goblin-data = "rune_goblin.generate_dataset:main"
rune-goblin-download = "rune_goblin.download_model:main"
rune-goblin-train = "rune_goblin.finetune:main"
rune-goblin-eval = "rune_goblin.evaluate:main"

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

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

[tool.uv]
# Resolve torch from PyPI default index (ships CUDA 12 wheels on Linux x86_64).
package = true

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

[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B"]
ignore = ["E501"]