I suspect what you want is a post-save hook
<http://jupyter-notebook.readthedocs.io/en/latest/extending/savehooks.html>
that calls nbconvert. For example:
import iofrom nbcovert import export, HTMLExporter
def script_post_save(model, os_path, contents_manager, **kwargs):
"""convert notebooks to HTML after save with nbconvert"""
if model['type'] != 'notebook':
return
global _exporter
if _exporter is None:
_exporter = HTMLExporter(parent=contents_manager)
base, ext = os.path.splitext(os_path)
# your rename logic goes here
html_fname = base + '.html'
html, resources = _exporter.from_filename(os_path)
with io.open(html_fname, 'w', encoding='utf-8') as f:
f.write(html)
c.FileContentsManager.post_save_hook = script_post_save
-Min
On Mon, Aug 21, 2017 at 10:14 PM, Mayeshh <[email protected]> wrote:
> Hello,
>
> I am very new to python, and I am currently using Jupyter notebooks to
> analyze microscopy data. I have looked into using `nbconvert` as a library,
> however, I have to run these particular notebooks manually (centering
> images, choose files through globing, etc.). For this reason, I don't want
> to implement `nbconvert` from the command line.
>
> My not-solution has been to use the Jupyter notebook GUI to save the
> output as HTML (required for record keeping) and update the name manually.
> This is problematic because I can easily forget to save the notebook or
> name it incorrectly. I am also trying to speed up my workflow, and I have
> identified this step as a bottleneck...
>
> How can I automate this action within the notebook? Will it require
> JavaScript? If so, I lack any knowledge of JavaScript... Can anyone offer a
> solution to this use-case? Any advice is greatly appreciated!
>
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