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{
lib,
buildPythonPackage,
fetchFromGitHub,
# build-system
setuptools,
# dependencies
alembic,
cachetools,
click,
cloudpickle,
cryptography,
databricks-sdk,
docker,
fastapi,
flask,
gitpython,
graphene,
gunicorn,
importlib-metadata,
jinja2,
markdown,
matplotlib,
numpy,
opentelemetry-api,
opentelemetry-sdk,
packaging,
pandas,
protobuf,
pyarrow,
pyyaml,
requests,
scikit-learn,
scipy,
sqlalchemy,
sqlparse,
uvicorn,
# tests
aiohttp,
azure-core,
azure-storage-blob,
azure-storage-file,
boto3,
botocore,
catboost,
datasets,
google-cloud-storage,
httpx,
jwt,
keras,
langchain,
librosa,
moto,
opentelemetry-exporter-otlp,
optuna,
pydantic,
pyspark,
pytestCheckHook,
pytorch-lightning,
sentence-transformers,
shap,
starlette,
statsmodels,
tensorflow,
torch,
transformers,
xgboost,
}:
buildPythonPackage rec {
pname = "mlflow";
version = "3.3.1";
pyproject = true;
src = fetchFromGitHub {
owner = "mlflow";
repo = "mlflow";
tag = "v${version}";
hash = "sha256-5zObSnGx7+cCrqRfvcnprQN05NqVBCeWcAZEE1Jpeuo=";
};
pythonRelaxDeps = [
"cryptography"
"gunicorn"
"importlib-metadata"
"packaging"
"protobuf"
"pytz"
"pyarrow"
];
build-system = [ setuptools ];
dependencies = [
alembic
cachetools
click
cloudpickle
cryptography
databricks-sdk
docker
fastapi
flask
gitpython
graphene
gunicorn
importlib-metadata
jinja2
markdown
matplotlib
numpy
opentelemetry-api
opentelemetry-sdk
packaging
pandas
protobuf
pyarrow
pydantic
pyyaml
requests
scikit-learn
scipy
shap
sqlalchemy
sqlparse
uvicorn
];
pythonImportsCheck = [ "mlflow" ];
nativeCheckInputs = [
aiohttp
azure-core
azure-storage-blob
azure-storage-file
boto3
botocore
catboost
datasets
google-cloud-storage
httpx
jwt
keras
langchain
librosa
moto
opentelemetry-exporter-otlp
optuna
pydantic
pyspark
pytestCheckHook
pytorch-lightning
sentence-transformers
starlette
statsmodels
tensorflow
torch
transformers
uvicorn
xgboost
];
disabledTestPaths = [
# Requires unpackaged `autogen`
"tests/autogen/test_autogen_autolog.py"
# Requires unpackaged `diviner`
"tests/diviner/test_diviner_model_export.py"
# Requires unpackaged `sktime`
"examples/sktime/test_sktime_model_export.py"
# Requires `fastai` which would cause a circular dependency
"tests/fastai/test_fastai_autolog.py"
"tests/fastai/test_fastai_model_export.py"
# Requires `spacy` which would cause a circular dependency
"tests/spacy/test_spacy_model_export.py"
# Requires `tensorflow.keras` which is not included in our outdated version of `tensorflow` (2.13.0)
"tests/gateway/providers/test_ai21labs.py"
"tests/tensorflow/test_keras_model_export.py"
"tests/tensorflow/test_keras_pyfunc_model_works_with_all_input_types.py"
"tests/tensorflow/test_mlflow_callback.py"
];
# I (@GaetanLepage) gave up at enabling tests:
# - They require a lot of dependencies (some unpackaged);
# - Many errors occur at collection time;
# - Most (all ?) tests require internet access anyway.
doCheck = false;
meta = {
description = "Open source platform for the machine learning lifecycle";
mainProgram = "mlflow";
homepage = "https://github.com/mlflow/mlflow";
changelog = "https://github.com/mlflow/mlflow/blob/${src.tag}/CHANGELOG.md";
license = lib.licenses.asl20;
maintainers = with lib.maintainers; [ tbenst ];
};
}
|
