[project]
name = "infoxtractor"
version = "0.1.0"
description = "Async on-prem LLM-powered structured information extraction microservice"
readme = "README.md"
requires-python = ">=3.12"
license = { text = "MIT" }
authors = [{ name = "goldstein" }]

dependencies = [
    # Web / async
    "fastapi>=0.115",
    "uvicorn[standard]>=0.32",
    "httpx>=0.27",

    # Data
    "pydantic>=2.9",
    "pydantic-settings>=2.6",

    # Database
    "sqlalchemy[asyncio]>=2.0.36",
    "asyncpg>=0.30",
    "alembic>=1.14",

    # Document processing
    "pymupdf>=1.25",
    "pillow>=10.2,<11.0",
    "python-magic>=0.4.27",
    "python-dateutil>=2.9",
]

[project.optional-dependencies]
ocr = [
    # Real OCR engine — pulls torch + CUDA wheels. Kept optional so CI
    # (no GPU) can install the base package without the model deps.
    "surya-ocr>=0.9",
    # torch pinned to the cu124 wheel channel via tool.uv.sources below
    # so the GPU wheels match the deploy host's CUDA 12.4 driver.
    "torch>=2.4",
]
dev = [
    "pytest>=8.3",
    "pytest-asyncio>=0.24",
    "pytest-httpx>=0.32",
    "ruff>=0.8",
    "mypy>=1.13",
]

# Make uv pull torch from the CUDA 12.4 wheel channel to match the
# deploy host's NVIDIA driver (server has CUDA 12.4; pypi torch 2.11
# ships cu13 wheels which refuse to initialise on an older driver).
[[tool.uv.index]]
name = "pytorch-cu124"
url = "https://download.pytorch.org/whl/cu124"
explicit = true

[tool.uv.sources]
torch = { index = "pytorch-cu124" }

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

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

[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
addopts = "-ra --strict-markers"
markers = [
    "live: requires live Ollama/Surya (IX_TEST_OLLAMA=1 to enable)",
]

[tool.ruff]
line-length = 100
target-version = "py312"

[tool.ruff.lint]
select = ["E", "F", "W", "I", "UP", "B", "SIM", "RUF"]
ignore = ["E501"]  # line length handled by formatter

[tool.mypy]
python_version = "3.12"
strict = true
plugins = ["pydantic.mypy"]