How to access reactive dependencies for display and navigation? #25

How can I access the information about dependencies of akernel to use it for JupyterLab extensions?
What would be the right entry point for that?

Lets say I have a JupyterLab extension that is able to access a notebook cell model:

let notebook = __tryToGetNotebook(app);
    if(notebook){       
        let cellModels = notebook.model.cells   
        for(let cellIndex=0; cellIndex < cellModels.length; cellIndex++){
            let cellModel = cellModels.get(cellIndex);          
            let dependencies = __getDependencies(cellModel, notebook); //<= how to implement this?
        }
}

=> Is it possible to ask the cell for its dependencies? Or would I have to somehow directly communicate with akernel or ipyx?

Related:

• Improvement: highlight updating cells in reactive mode #24
• https://stackoverflow.com/questions/69539309/how-to-monitor-state-of-observales-in-reactive-calculations

Some possible use cases:

A. Show neighboring cell dependencies in a dependency view when focusing a distinct cell.
The corresponding terms in obsservablehq are "Visual Dataflow" and "Minimap":
https://observablehq.com/@observablehq/introducing-visual-dataflow

B. Generate a full dependency graph

Could look similar to

https://observablehq.com/@observablehq/notebook-visualizer

https://observablehq.com/@observablehq/notebook-visualizer-elk-edition

C. Generate editable flow chart from akernel notebook cells

Maybe combine akernel with a view of ipyspaghetti or node-red, so that a user gets an alternative GUI to edit the notebook cells in some sort of flow chart.

https://github.com/cphyc/ipyspaghetti

https://nodered.org

D. Navigate between dependent cells.

Similar to the navigation features in a code IDE, the dependency information could be used to

• Jump to a cell where some input comes from
• Show usages of some output and jump to it

https://www.jetbrains.com/help/pycharm/navigating-through-the-source-code.html#go_to_declaration