GlobalToJSON-embeddedPython

Export a Global into a JSON file and re-create it by reloading from this file. embeddedPython
refers to the new available technologies. It should be understood as a learning exercise of how to
handle the language interfaces.
Only Global nodes containing data are presented in the generated JSON file.

Prerequisites

Make sure you have git and Docker desktop installed.

Installation

Clone/git pull the repo into any local directory

git clone https://github.com/rcemper/GlobalToJSON-embeddedPython.git

Run the IRIS container with your project:

docker-compose up -d --build

How to Test it

This is the pre-loaded Global ^dc.MultiD for testing.

Open IRIS terminal

$ docker-compose exec iris iris session iris
USER>
USER>; generate JSON object file from Global
USER>set sc=##class(dc.GblToJSON.ePy).do("^dc.MultiD")
USER>

This is the file content

Now we want to verify the load function.
First we make a copy of our source and then delete the source
After the load operation the source Global is completely restored

USER>merge ^keep=^dc.MultiD  
USER>kill ^dc.MultiD
USER>set sc=##class(dc.GblToJSON.ePy).load()
USER>zw sc

sc=1
USER>zw ^dc.MultiD

^dc.MultiD=5

^dc.MultiD(1)=$lb("Braam,Ted Q.",51353)

^dc.MultiD(1,"mJSON")="{}"

^dc.MultiD(2)=$lb("Klingman,Uma C.",62459)

^dc.MultiD(2,2,"Multi","a")=1

^dc.MultiD(2,2,"Multi","rob",1)="rcc"

^dc.MultiD(2,2,"Multi","rob",2)=2222

^dc.MultiD(2,"Multi","a")=1

^dc.MultiD(2,"Multi","rob",1)="rcc"

^dc.MultiD(2,"Multi","rob",2)=2222

^dc.MultiD(2,"mJSON")="{""A"":""ahahah"",""Rob"":""VIP"",""Rob2"":1111,""Rob3"":true}"

^dc.MultiD(3)=$lb("Goldman,Kenny H.",45831)

^dc.MultiD(3,"mJSON")="{}"

^dc.MultiD(4)=$lb("","")

^dc.MultiD(4,"mJSON")="{""rcc"":122}"

^dc.MultiD(5)=$lb("","")

^dc.MultiD(5,"mJSON")="{}"
USER>

q.a.d.

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