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Add code_env_name parameter to import_mlflow_version_from_path #174

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Add code_env_name parameter to import_mlflow_version_from_path #174

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5 changes: 3 additions & 2 deletions dataikuapi/dss/savedmodel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -117,14 +117,15 @@ def get_origin_ml_task(self):
if fmi is not None:
return DSSMLTask.from_full_model_id(self.client, fmi, project_key=self.project_key)

def import_mlflow_version_from_path(self, version_id, path):
def import_mlflow_version_from_path(self, version_id, path, code_env_name="INHERIT"):
"""
Create a new version for this saved model from a path containing a MLFlow model.

Requires the saved model to have been created using :meth:`dataikuapi.dss.project.DSSProject.create_mlflow_pyfunc_model`.

:param str version_id: Identifier of the version to create
:param str path: An absolute path on the local filesystem. Must be a folder, and must contain a MLFlow model
:param str code_env_name: Name of the code environment to use for this model. Default is to inherit from project configuration

:return a :class:MLFlowVersionHandler in order to interact with the new MLFlow model version
"""
Expand All @@ -136,7 +137,7 @@ def import_mlflow_version_from_path(self, version_id, path):

with open("tmpmodel.zip", "rb") as fp:
self.client._perform_empty("POST", "/projects/%s/savedmodels/%s/versions/%s" % (self.project_key, self.sm_id, version_id),
files={"file":("tmpmodel.zip", fp)})
files={"file":("tmpmodel.zip", fp)}, params={"codeEnvName": code_env_name})

return self.get_mlflow_version_handler(version_id)

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