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1.8 kB · 108 lines
Nix
at master
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109{ lib, buildPythonPackage, fetchPypi, setuptools, setuptools-scm, altair, fastapi, geopandas, kaleido, llmx, matplotlib, matplotlib-venn, networkx, numpy, pandas, plotly, plotnine, pydantic, python-multipart, scipy, seaborn, statsmodels, typer, uvicorn, wordcloud, peacasso, basemap, basemap-data-hires, geopy,}:
buildPythonPackage rec { pname = "lida"; version = "0.0.14"; pyproject = true;
# No releases or tags are available in https://github.com/microsoft/lida src = fetchPypi { inherit pname version; hash = "sha256-/az6hS8rNPxb8cDiz9SOyUBi/X48r9prJNFUnx1wPHM="; };
patches = [ # The upstream places the data path under the py file's own directory. # However, since `/nix/store` is read-only, we patch it to the user's home directory. ./rw_data.patch ];
build-system = [ setuptools setuptools-scm ];
dependencies = [ altair fastapi geopandas kaleido llmx matplotlib matplotlib-venn networkx numpy pandas plotly plotnine pydantic python-multipart scipy seaborn statsmodels typer uvicorn wordcloud ];
optional-dependencies = { infographics = [ peacasso ]; tools = [ basemap basemap-data-hires geopy ]; transformers = [ llmx ]; web = [ fastapi uvicorn ]; };
# require network doCheck = false;
pythonImportsCheck = [ "lida" ];
meta = { description = "Automatic Generation of Visualizations and Infographics using Large Language Models"; homepage = "https://github.com/microsoft/lida"; license = lib.licenses.mit; maintainers = with lib.maintainers; [ moraxyc ]; mainProgram = "lida"; };}