Loading data into ReciprocalViewer

[JBGreisman]

I've been playing around with this project for making interactive GUIs for viewing maps using the UM.Viewer. In particular, I've been using MTZ files and the following call to load in data:

GemmiMtz().then(function(Module) {
	UM.load_maps_from_mtz(Module, V, "datafile.mtz", ['F_col', 'Phi_col']);
    });;

Is there a similar way to populate UM.ReciprocalViewer using a MTZ file? If not, is the main alternative to go through a CSV file that contains the relevant Miller indices? Do you mind explaining the columns in the example rlp.csv, and how they are used in the visualization?

[wojdyr]

Hi Jack,

I completely forgot how it worked, so I'll try to recollect.
Here is what I wrote in an email a few years ago:

Export spots from DIALS using:
dials.export datablock.json strong.pickle format=json
and then drag-and-drop the resulting rlp.json file on this page:
http://uglymol.github.io/reciprocal.html

I seems that this viewer works with reflections in either json or csv format.
json is from dials.export, but I don't remember where rlp.csv came from. Either DIALS has or used to have such an output format, or I converted it myself. I can't remember.
The meaning of the columns is in the first row in the csv file:

# x,y,z,experiment_id,imageset_id
-0.03520561,0.27965506,-0.57146448,0,0

I worked on the reciprocal viewer before I added reading of mtz files to UglyMol, so this wasn't considered at that time.
But also that's a different data, from an earlier stage of data processing.

[wojdyr]

I found a script that seems to write such csv files:
https://github.com/dials/dials/blob/v3.9.0/command_line/rl_csv.py