#InterSystems IRIS

Recently I needed a classmethod that returns annotation value based on a name of a activity.

As doing it at runtime seemed inefficient, I wrote compile-time utility that iterates over all business process activities and generates relevant code.

This code could be used in a variety of situations when you need to iterate over business process activities, just add it as a secondary superclass to your BPL processes.

Running predictive models natively in an InterSystems IRIS Business Process has of course always been the goal of our PMML support, but somehow never made it into the kit because there were a few dependencies and choices that needed addressing and answering. Anyhow, thanks to some pushing and code kindly provided by @Amir Samary (Thanks again Amir!), we finally got it wrapped in a GitHub repo for your enjoyment, review and suggestions.

Hi,

I'm using node.js to access to Iris.

Considering this globals:

^Customer(1, "Address", 1)="London"

^Customer(1, "Address", 2)="UK"

^Customer(1, "Name")="Jane K. White"

^Customer(2, "Address", 1)="Reigate"

^Customer(2, "Address", 2)="UK"

^Customer(2, "Name")="Peter R. Black"

^Customer(3, "Address", 1)="London"

^Customer(3, "Address", 2)="UK"

^Customer(3, "Name")="Paul J. Green"

I retrieve all customers with:

mydata.retrieve( { global: "Customer" },

"array",

function(error, result) {

After attending the Intersystems DACH conference in Germany at the end of last November and taking part in a few workshops about containers and microservices I took the plunge and installed Docker on home Windows PC, downloaded IRIS 2018.2 preview and got that up and running. Good stuff and I gave myself a pad on the shoulder at that point.