While reviewing our documentation for our ^pButtons (in IRIS renamed as ^SystemPerformance) performance monitoring utility, a customer told me: "I understand all of this, but I wish it could be simpler… easier to define profiles, manage them etc.".

After this session I thought it would be a nice exercise to try and provide some easier human interface for this.

The first step in this was to wrap a class-based API to the existing pButtons routine.

I was also able to add some more "features" like showing what profiles are currently running, their time remaining to run, previously running processes and more.

The next step was to add on top of this API, a REST API class.

With this artifact (a pButtons REST API) in hand, one can go ahead and build a modern UI on top of that.

For example -

You may have seen my series of articles on GlobalToJSON closing with Embedded Python.
And to me, Embedded means inside a Class and not PEX or other external variants.
The first variants showed that ePy is not an ultimate requirement. ISOS/COS may do it as well.
Here I try to position ePy inside IRIS.

It is very interesting to compare different BI technologies. It is curious to me what the differences are in functionality, development tools, speed and usability.

Maternal Risk can be measured from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the scientist Yasir Hussein Shakir published a very useful dataset for training ML algorithms in the detection/prediction of Maternal Risk.

Kidney Disease can be discovered from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the scientist Akshay Singh published a very useful dataset for training ML algorithms in the detection/prediction of kidney disease. This publication can be found on the largest and best known data repository for ML, Kaggle at https://www.kaggle.com/datasets/akshayksingh/kidney-disease-dataset.

Hi Community,

Recently, I migrated a series of Objectscript repositories from XML to UDL format.
After the migration, I was a bit disappointed by the presentation on the GitLab web interface.

Since Objectscript syntax is supported by GitHub, I thought It would be also supported by GitLab. Unfortunately, the library used by GitLab to highlight the code does not have an extension to support Objectscript.

IRIS Interoperability formerly known as Ensemble comes with many built in adapters. It does not have a service or adapter to receive mail. I have written email service to receive mail messages via SMTP which can be passed to email operation.

ZPM is a great tool.
You can compose a large WebApplication following the existing examples.
But differently, to Classes, Routines, Macros, or Globals I found no direct way
to deploy a few additional CSP pages directly into an existing Namespace
without touching the existing content.

A side issue was to find a solution that is independent of WIN or Linux directories.

My solution acts in 2 steps

There is a popular package "WebTerminal". It is excellent in most situations.
Except:

You have read about OAuth2 / OpenID Connect but you don't know how to use it? Have you ever needed to implement Single Sign-On (SSO) or secure web services based on tokens? Did you have to add authentication / authorization to your web applications or services and you didn't know how to start?

This package offers a utility to export an XLarge Global into a JSON object file and to show
or import it again. In a previous example, this all was processed in memory. But if this is a
large Global you may either experience <MAXSTRING> or an <STORE> error
if the generated JSON structure exceeds available memory.

I ran into an interesting ObjectScript use case today with a general solution that I wanted to share.

Use case:

I have a JSON array (specifically, in my case, an array of issues from Jira) that I want to aggregate over a few fields - say, category, priority, and issue type. I then want to flatten the aggregates into a simple list with the total for each of the groups. Of course, for the aggregation, it makes sense to use a local array in the form:

agg(category, priority, type) = total

Such that for each record in the input array I can just:

Support is helping you troubleshoot a report. They want to reproduce a problem in their local system. Too bad they can't run your report, because the JDBC data source connection will fail. Or... is there a way?

1. Fhir-client-java

This is a simple fhir client in java to practice with fhir resources and CRUD requests to a fhir server.

Note that for the most part auto-completion is activated.

GitHub