[project]
name = "ru2sql"
version = "0.1.0"
description = "Russian-to-SQL generative model for graduation thesis"
authors = [{ name = "Danis", email = "danis.digger@gmail.com" }]
requires-python = ">=3.10,<3.13"
readme = "README.md"

dependencies = [
    # API
    "fastapi>=0.115.0",
    "uvicorn[standard]>=0.30.0",
    "pydantic>=2.7.0",
    "pydantic-settings>=2.4.0",

    # SQL parsing / validation
    "sqlglot>=25.0.0",

    # Data
    "datasets>=2.20.0",
    "pandas>=2.2.0",

    # ML inference (CPU-friendly versions for desktop/laptop)
    # Heavy training deps (bitsandbytes, peft, trl) live in [training] and run on Kaggle
    "torch>=2.3.0",
    "transformers>=4.44.0",
    "accelerate>=0.33.0",
    "peft>=0.12.0",  # for loading LoRA adapter at inference time

    # Misc
    "python-dotenv>=1.0.0",
    "httpx>=0.27.0",  # for GigaChat/OpenAI API client
    "tqdm>=4.66.0",

    # Интерфейс
    "streamlit>=1.35.0",
    "pyyaml>=6.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=8.3.0",
    "pytest-asyncio>=0.23.0",
    "ruff>=0.6.0",
    "ipykernel>=6.29.0",
    "matplotlib>=3.9.0",
    "seaborn>=0.13.0",
]

# Heavy GPU-only deps. Install on Kaggle: `pip install -e .[training]`
training = [
    "bitsandbytes>=0.43.0",
    "trl>=0.10.0",
    "wandb>=0.17.0",
]

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

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

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

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

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["."]