Jonathan Sick this can be interesting for the serialization of plot information in validate_drp, there is an open issue for bokeh to support JSON data structures following the Vega-Lite specification
https://github.com/bokeh/bokeh/issues/4844

That's really interesting! We could add an class, kind of like Blobs in the currently-proposed measurement API, that could describe plots as vega-lite JSON. That way we could replace the matplotlib code in validate_drp with vega-lite that could be rendered both client-side from validate_drp and server side with bokeh. I guess we could create a ticket to start making and shipping Vega-Lite to SQUASH now, and then once Bokeh is able to render Vega-Lite we should switch the detailed data plots to that.

Changing bokeh app to directory style for convenience to handle multiple apps:
http://bokeh.pydata.org/en/latest/docs/user_guide/server.html#directory-format

Proposed reoganization has three independent apps served by the same bokeh server, for astrometry plots, photometry plots and regression testing

astrometry/

   main.py

   theme.yaml

photometry/

   main.py

   theme.yaml

regression/  (old metrics app)

   main.py

   theme.yaml

in the final JSON sample for the full REST json, blobs is an object/dict. Do you want the keys of this dict to be the blob identifier? this would make it easy to look up from a measurement.

If so, the actions that post-qa needs to do to shim it's native format to the SQUASH format is:

1. Convert the blobs array to an object keyed by identifier.
2. Convert the measurements array to an an array of objects with fields: 1) metric name, and 2) array of corresponding measurements.

Thinking of the last one, it may make more sense to simply make measurements an object keyed by metric names,

{

  "measurements": {

    {"AM1": [], <- array of measurement objects

    ...}

  }

}

Moving discussion to DM-7043.

In order to extend squash drill down capabilities we implemented validade_drp static plots in bokeh

They are available in my test environment:

https://angelo-squash-bokeh.lsst.codes/astrometry
https://angelo-squash-bokeh.lsst.codes/photometry

note that the parameters metric, dataset and Job Id are fixed in those examples.

In DM-8478 we will continue this implementation connecting those plots with the measurements in the regression app

https://angelo-squash-bokeh.lsst.codes/regression