How to archive jupyter notebooks

I use SlicerJupyter to run automated experiments with Slicer, generating snapshots of the views. Sometimes I forget to save the notebook with valuable results. For non-Slicer notebooks, I can use an external process to save my notebook as a single html file:
os.system("jupyter nbconvert --to html " + notebook_name + " --output " + filename)
But this doesn’t work in Slicer, because the command ‘jupyter’ is not available in the Slicer environment. Does anybody happen to know a way to automatically (triggered by notebook code) save a Slicer Jupyter notebook after running it?

You should be able to run nbconvert utility from any python environment, just need to pip install it. I don’t think it requires jupyter, you should be able to use it directly - see API description here.

Slicer’s JupyterNotebooksLib has a convenience function for getting the full path of your notebook:

import JupyterNotebooksLib as slicernb
notebook_path = slicernb.notebookPath()

Thanks. This pointed in the right direction. For the record, here is a solution that seems to work:

notebooks_save_path – define as the folder for archived notebooks
save_timestamp ='%Y-%m-%d_%H-%M-%S')
– this will be used to create unique filename for the saved file

Add a cell to save the current state of the notebook:

from IPython.display import Javascript
script = '''
require(["base/js/namespace"],function(Jupyter) {

And finally, this cell saves the notebook to an html file:

import nbformat
from nbconvert import HTMLExporter
import json

notebook_path = slicernb.notebookPath()

with open(notebook_path, mode="r") as f:
    file_json = json.load(f)
notebook_content = nbformat.reads(json.dumps(file_json), as_version=4)

html_exporter = HTMLExporter()
(body, resources) = html_exporter.from_notebook_node(notebook_content)

this_notebook_name = os.path.splitext(os.path.basename(notebook_path))[0]
save_file_name = this_notebook_name + "_" + save_timestamp + ".html"
notebook_fullpath = os.path.join(notebooks_save_path, save_file_name)

f = open(notebook_fullpath, 'wb')
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Thanks a lot. I’ve added convenience functions to make it these features easily accessible:

import JupyterNotebooksLib as slicernb

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