| [project] | |
| name = "macrolens" | |
| version = "0.1.0" | |
| description = "MacroLens: a contextual financial benchmark (NeurIPS 2026 D&B submission)" | |
| readme = "README.md" | |
| license = { text = "MIT" } | |
| requires-python = ">=3.11, <3.12" | |
| dependencies = [ | |
| # Core scientific | |
| "numpy>=2.2.6", | |
| "pandas>=2.3.0", | |
| "pyarrow>=22.0.0", | |
| "scipy>=1.13", | |
| "scikit-learn>=1.5", | |
| "tabulate>=0.9.0", | |
| "tqdm>=4.67.1", | |
| "joblib>=1.4", | |
| "pyyaml>=6.0.2", | |
| # HTTP / I/O | |
| "httpx>=0.28.1", | |
| "python-dotenv>=1.1.1", | |
| "beautifulsoup4>=4.13.4", | |
| "html2text>=2025.4.15", | |
| # Tabular / TS classical | |
| "lightgbm>=4.5", | |
| # Deep learning core | |
| "torch>=2.5", | |
| "transformers>=4.45", | |
| "accelerate>=1.0", | |
| "huggingface-hub>=0.30", | |
| "safetensors>=0.5", | |
| "datasets>=3.0", | |
| "einops>=0.8", | |
| "sentence-transformers>=4.0", | |
| "timm>=1.0", | |
| # TSFM ZS panel | |
| "chronos-forecasting>=2.0", | |
| "timesfm>=1.2", | |
| # Data sources | |
| "yfinance>=0.2.65", | |
| # Lakehouse stores | |
| "duckdb>=1.0", | |
| "neo4j>=5.20", | |
| "pymilvus>=2.4", | |
| "milvus-lite>=2.4", | |
| # Agents / LangChain | |
| "langchain>=0.3", | |
| "langchain-core>=0.3", | |
| "langchain-community>=0.3", | |
| "langchain-openai>=0.3", | |
| "langgraph>=0.2", | |
| "openai>=1.50", | |
| # Plot / explorer | |
| "matplotlib>=3.9", | |
| "plotly>=5.24", | |
| "jinja2>=3.1", | |
| # Tests | |
| "pytest>=8.3", | |
| "pytest-asyncio>=1.0", | |
| "pytest-cov>=6.1", | |
| ] | |
| [project.optional-dependencies] | |
| vllm = ["vllm>=0.7"] | |
| qlora = ["peft>=0.13", "trl>=0.12", "bitsandbytes>=0.44"] | |
| # Moirai 2.0 (uni2ts) needs lightning + gluonts at runtime, but uni2ts 2.0.0 | |
| # itself ships with stale scipy<1.12 / torch<2.5 caps. Install order: | |
| # uv pip install -e ".[vllm,qlora,explorer,moirai-runtime]" | |
| # uv pip install --no-deps uni2ts==2.0.0 | |
| # `moirai-runtime` provides the runtime libs uni2ts uses; the --no-deps | |
| # install adds uni2ts itself without re-resolving its stale upper bounds. | |
| moirai-runtime = [ | |
| "lightning>=2.4", | |
| "gluonts>=0.16", | |
| "jaxtyping>=0.2", | |
| ] | |
| explorer = [ | |
| "dash>=3.2", | |
| "dash-bootstrap-components>=2.0", | |
| "dash-mantine-components>=0.14", | |
| "dash-ag-grid>=31.0", | |
| "dash-iconify>=0.1", | |
| "streamlit>=1.45", | |
| ] | |
| [build-system] | |
| requires = ["hatchling"] | |
| build-backend = "hatchling.build" | |
| [tool.hatch.build.targets.wheel] | |
| # Explicit packages -- avoids setuptools auto-discovery confusion across | |
| # the many top-level dirs (data/, data_lakehouse/, data_small_caps/, etc.). | |
| packages = [ | |
| "macrolens", | |
| "dataloader", | |
| "agents", | |
| "baselines", | |
| "experiments", | |
| "lakehouse", | |
| "explorer", | |
| ] | |
| [tool.uv] | |
| prerelease = "allow" | |
| # Override deps where upstream pins are stale. | |
| # - uni2ts 2.0 declares `torch>=2.1,<2.5`, but it works on torch 2.5+ in | |
| # practice (no breaking torch-API usage); we need torch>=2.5 for vllm. | |
| override-dependencies = [ | |
| "torch>=2.5", | |
| ] | |
| [tool.pytest.ini_options] | |
| asyncio_mode = "auto" | |
| testpaths = ["tests"] | |
| python_files = ["test_*.py"] | |
| filterwarnings = [ | |
| "ignore::DeprecationWarning", | |
| ] | |