Adding callbacks after BokehModel creation about jupyter_bokeh

[axil]

Ok. Got it:

def f(event):
    print('hi')
b = bm.Button()
w = BokehModel(b)
b.on_click(f)
w.render_bundle = w._model_to_traits(b)
b._update_event_callbacks()
w

[bryevdv]

Just noting that private APIs can change or be removed at any time so using those methods is purely at your own risk.

We could consider crafting a supported, public API for this, but I think we'd need to understand the use-case better. The intended usage of BokehModel is to be a "last mile" bridge for certain jupyter integrations. I.e. the intent is to set up all your Bokeh models normally up front, then only use BokehModel as the last step.

[axil]

This makes the following layout impossible to implement:

Bokeh plot1
Ipywidget Slider
Bokeh plot2

(or rather a horizontal version of this widget sequence)

I realize that I could use the bokeh slider instead of the ipywidgets one. But not all ipywidget widgets have their counterparts in bokeh.

[mattpap]

We need to let BokehModel listen to the underlying model's changes and refresh its render_bundle.