Hello everyone I tried to run your script on my databricks projects and I found a big problem with Cycling dependencies model_utils.py
during creation of the HTTP Client in client_utils.py
see https://github.com/mlflow/mlflow-export-import/blob/master/mlflow_export_import/client/client_utils.py
and https://github.com/mlflow/mlflow-export-import/blob/master/mlflow_export_import/common/model_utils.py
Please move following functions to a seperated python file and adjust the imports
`
def is_unity_catalog_model(name):
return len(name.split(".")) == 3
def model_names_same_registry(name1, name2):
return
is_unity_catalog_model(name1) and is_unity_catalog_model(name2) or
not is_unity_catalog_model(name1) and not is_unity_catalog_model(name2)
`
Hello everyone I tried to run your script on my databricks projects and I found a big problem with Cycling dependencies model_utils.py
during creation of the HTTP Client in client_utils.py
see https://github.com/mlflow/mlflow-export-import/blob/master/mlflow_export_import/client/client_utils.py
and https://github.com/mlflow/mlflow-export-import/blob/master/mlflow_export_import/common/model_utils.py
Please move following functions to a seperated python file and adjust the imports
`
def is_unity_catalog_model(name):
return len(name.split(".")) == 3
def model_names_same_registry(name1, name2):
return
is_unity_catalog_model(name1) and is_unity_catalog_model(name2) or
not is_unity_catalog_model(name1) and not is_unity_catalog_model(name2)
`