[project] name = "infoxtractor" version = "0.1.0" # Released 2026-04-18 with the first live deploy of the MVP. See # docs/deployment.md §"First deploy" for the commit + /healthz times. 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. Kept optional so CI (no GPU) can install the base # package without the model deps. # surya >= 0.17 is required: the client code uses the # `surya.foundation` module, which older releases don't expose. "surya-ocr>=0.17,<0.18", "torch>=2.7", ] dev = [ "pytest>=8.3", "pytest-asyncio>=0.24", "pytest-httpx>=0.32", "ruff>=0.8", "mypy>=1.13", ] # Note: the default pypi torch ships cu13 wheels, which emit a # UserWarning and fall back to CPU against the deploy host's CUDA 12.4 # driver. Surya then runs on CPU — slower but correct for MVP. A future # driver upgrade unlocks GPU Surya with no code changes. [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"]