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{ lib
, buildPythonPackage
, fetchPypi
, pythonOlder
, poetry-core
, numpy
, pandas
, pydateinfer
, python-dateutil
, scipy
, type-infer
, dataclasses-json
, colorlog
, pydantic
, nltk-data
, symlinkJoin
}:
let
testNltkData = symlinkJoin {
name = "nltk-test-data";
paths = [ nltk-data.punkt nltk-data.stopwords ];
};
in
buildPythonPackage rec {
pname = "dataprep-ml";
version = "0.0.21";
pyproject = true;
disabled = pythonOlder "3.8";
# using PyPI as github repo does not contain tags or release branches
src = fetchPypi {
pname = "dataprep_ml";
inherit version;
hash = "sha256-BtnRmj5JtgNdCFowgNdpIZn5vUdw8QYCWneHfDgC4/c=";
};
nativeBuildInputs = [
poetry-core
];
propagatedBuildInputs = [
numpy
pandas
pydateinfer
python-dateutil
scipy
type-infer
dataclasses-json
colorlog
pydantic
];
# PyPI tarball has no tests
doCheck = false;
# Package import requires NLTK data to be downloaded
# It is the only way to set NLTK_DATA environment variable,
# so that it is available in pythonImportsCheck
env.NLTK_DATA = testNltkData;
pythonImportsCheck = [
"dataprep_ml"
"dataprep_ml.cleaners"
"dataprep_ml.helpers"
"dataprep_ml.imputers"
"dataprep_ml.insights"
"dataprep_ml.recommenders"
"dataprep_ml.splitters"
];
meta = with lib; {
description = "Data utilities for Machine Learning pipelines";
homepage = "https://github.com/mindsdb/dataprep_ml";
license = licenses.gpl3Only;
maintainers = with maintainers; [ mbalatsko ];
};
}
|