directoryStructure set to <artifact_name> and not prepended by model/ dir about ormb HOT 4 OPEN

$ docker pull python:3.7-slim
$ docker run --rm -it --entrypoint /bin/bash python:3.7-slim

root@:/$ apt-get update
root@:/$ apt-get install vim-tiny -y
root@:/$ vi home/.env  # populating my harbor credentials
root@:/$ mkdir home/test-model
root@:/$ mkdir home/test-model/model
root@:/$ touch home/test-model/model/test-model.joblib
root@:/$ echo "format: SKLearn" >> home/test-model/ormbfile.yaml
root@:/$ pip install python-dotenv ormb
root@:/$ python

Python 3.7.12 (default, Dec 21 2021, 11:35:10) 
[GCC 10.2.1 20210110] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import os
>>> import ormb
>>> import dotenv
>>> dotenv.load_dotenv(dotenv_path="home/.env")
True
>>> username = os.getenv("HARBOR_USERNAME")
>>> password = os.getenv("HARBOR_PASSWORD")
>>> ormb.login(hostname="****", username=username, password=password, insecure_opt="true")
Using /root/.ormb as the root path
WARNING! Using --password via the CLI is insecure. Use --password-stdin.
Login insecurely
WARN[0000] insecure registry **** should not contain 'https://' and 'https://' has been removed from the insecure registry config 
Login succeeded
0
>>> ref = "****"
>>> ormb.save(src="home/test-model", ref=ref)
Using config file: /root/.ormb/config.json
Using /root/.ormb as the root path
ref:       ****
digest:    705e6b425763259c7a743b9ea2abcb9228cc85374f72ecc6a96535f55aa2f781
size:      113 B
format:    SKLearn
: saved
0
>>> ormb.push(ref=ref)
Using config file: /root/.ormb/config.json
Using /root/.ormb as the root path
The push refers to repository [****]
ref:       ****
digest:    705e6b425763259c7a743b9ea2abcb9228cc85374f72ecc6a96535f55aa2f781
size:      113 B
format:    SKLearn
: pushed to remote (1 layer, 113 B total)
0