Hello,
I'm beginning to look into porting the nbextensions I've developed to
JupyterLab as labextensions, and after combing through the JupyterLab
documentation, I have a couple questions.
1) Does JupyterLab have client-side event hooks for creating and editing
notebook cells? For example, in Jupyter Notebook I can fire off events in
response to creating a cell or changing the cell's mode (such as with the
code shown below). But so far I haven't been able to find the equivalent
functionality in JupyterLab.
$([Jupyter.events]).on('create.Cell', function(event, target) {
// Do something
});
$([Jupyter.events]).on('edit_mode.Cell', function(event, target) {
// Do something
});
$([Jupyter.events]).on('command_mode.Cell', function(event, target)
{
// Do something
});
2) So far I've found labextension development to be somewhat slow. Part of
that is definitely just me getting over the learning curve, but part of it
may also be that my development process needs to be altered to better fit
the JupyterLab environment.
a) By default, JupyterLab bundles the client-side assets in labextensions,
but doesn't seem to provide a source map. So when I have an error in my
labextension's Javascript, it's difficult to trace the error back to the
offending line of code. Is there a place I'm supposed to enable source maps
in the JupyterLab config or a command line option? (I've noticed the
--dev-mode command line option, but so far that hasn't worked for me.)
b) In Jupyter Notebook, when developing nbextensions, I did most of my
exploration of the available method calls and framework through the
browser's Javascript console. I could call the top-level *Jupyter* variable
and then use that to explore all of the available properties and methods of
that object. So far I haven't seen an easy way to do something similar in
JupyterLab. Is there a recommended way to explore the available methods,
models and hooks?
Thanks for any help anyone can offer!
Thorin Tabor
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