A few weeks ago I posted an announcement about a JavaScript-based interface for our mg_web WebServer interfacing addon module. mg_web isn't just restricted to use by JavaScript developers though. Many readers will be ObjectScript developers who are more used to using CSP as their web gateway. Some may even have much older legacy WebLink-based applications (and be wondering how to support them given that IRIS does not support WebLink).

I would like to share with you a little trick to customize how messages are displayed in the Message Viewer. In particular, how you can display messages as JSON (instead of the default XML representation).

In this article we are going to see how we can use the WhatsApp instant messaging service from InterSystems IRIS to send messages to different recipients. To do this we must create and configure an account in Meta and configure a Business Operation to send the messages we want.

Let's look at each of these steps in more detail.

Setting up an account on Meta

This is possibly the most complicated point of the entire configuration, since we will have to configure a series of accounts until we can have the messaging functionality.

So far, we have covered how to use ObjectScript to manage users, roles, resources, and applications. There are a few other classes in this package that work similarly to the ones mentioned above. However, these four classes are the ones everyone will have to use to manage their application security.

Based on the successful solution for my 2nd contribution to the Contest
I used an adapted version for this package. And have some findings I'd like to share.

Multiple communication steps over CPIPE may take time.
You won't recognize it on a fast machine. But a slower box with
Windows + Docker Desktop + your browser (and more) is neither
"Speedy Gonzales" nor a "Road Runner". 🙂

In my previous articles, I described my Command Line Extension to NativeAPI.
Of course, this is also available for any other NativeAPI package.
So I created this example as a demo for the actual Java Contest.

The package contains also an IRIS server in Docker for the demo
It is evident that it also works with any remote IRIS server.
You just have to provide it with my NativeAPI CommandLine Extension.

Hi Community!,

I've published a new versión of IrisApiTester, I included some new features:

Hello Community!!

I just upload my lastest application "IRIS Api Tester" to the Open Exchange.

It's a docker project with InterSystems IRIS + Newman that will allow you to test your Postman Collections in a quick and easy way..

It's ready to work out of the box, you just have to clone the repo: https://github.com/daniel-aguilar-garcia/irisapitester

Run the docker-compose file:

InterSystems FAQ rubric

Using the Config.Configuration class and SYS.Database class methods, you can create and register a namespace database from the terminal.

Below is a series of execution examples that create database file /CacheDB/AAA/cache.dat and register database AAA and namespace AAA in the configuration file (cache.cpf).
* Execute in the %SYS namespace. *

* Make sure that this script runs as the user that is used for all IRIS processes to ensure that the directory has appropriate ownership and permissions *

Hi! recently I have to apply api-key validation to a web app with a lot of endpoints and I'm going to tell you how I did it in a centralized way.

I'm going to explain you how we can apply in a generic way (or not) api-key validation to all the endpoints of our web app.

preface

In this GitHub based on this InterSystems community rest api template Guillaume and I have created this example of all the import CRUD operations usable using ONLY Python on IRIS and using Flask.

Using the IRIS ORM or by simply doing SQL requests as both methods are seen in the GitHub.

On this GitHub you can find all the information on how to use a HuggingFace machine learning / AI model on the IRIS Framework using python.

1. iris-huggingface

Usage of Machine Learning models in IRIS using Python; For text-to-text, text-to-image or image-to-image models.