In this article, we'll talk about an application that I use every day when monitoring applications and integration solutions on the InterSystems IRIS platform and finding errors when they occur.

Hello community! I have to work with queries using all kinds of methods like embedded sql and class queries. But my favorite is dynamic sql, simply because of how easy it is to manipulate them at runtime. The downside to writing a lot of these is the maintenance of the code and interacting with the output in a meaningful way.

It's been a while since I've posted about Embedded Git on the Developer Community, and I'd like to provide an update on the massive amount of work we've done this year and where we're going next.

Context

If you're building solutions on IRIS and want to use Git, that's great! Just use VSCode with a local git repo and push your changes out to the server - it's that easy.

But what if:

Hi Community,
In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):

• Step1: Install required libraries

• Step2: Create patterns and responses file

• Step3: Train the Model

• Step4: Create ChatBot Application based on the trained model

So Let us start.

Index

Part 1

• Introducing Flask: a quick review of the Flask Docs, where you will find all the information you need for this tutorial;
• Connecting to InterSystems IRIS: a detailed step-by-step of how to use SQLAlchemy to connect to an IRIS instance;

Part 2

• A discussion about this kind of implementation: why we should use it and situations where it is applicable.

Exciting news for developers using GitLab for their InterSystems applications repositories! Open Exchange has expanded its support to include GitLab, allowing you to submit your projects just as easily as you would do with GitHub repos.

Submitting Your GitLab Repo app on Open Exchange:

This is a self contained class that can be run from the Intersystems Task Scheduler which records peak usage details for databases and licenses built up throughout the day and retaining 30 days history.

To schedule the task to run every hour:

d ##class(Metrics.Task).Schedule()

You can also specify your own start time, stop time, and run interval:

d ##class(Metrics.Task).Schedule(startTime, stopTime, intervalMins)

Metrics are stored in ^Metrics in the namespace that the class resides in/is run from.

Motivation

This project was thought of when I was thinking of how to let Python code deal naturally with the scalable storage and efficient retrieving mechanism given by IRIS globals, through Embedded Python.

My initial idea was to create a kind of Python dictionary implementation using globals, but soon I realized that I should deal with object abstraction first.

So, I started creating some Python classes that could wrap Python objects, storing and retrieving their data in globals, i.e., serializing and deserializing Python objects in IRIS globals.

Hey Developers,

It's time to announce the winners of the InterSystems Python contest! Are you ready?

A storm of applause goes to these developers and their applications:

Hi Developers

As you know it's very easy to publish a package to the Developers Community registry.

But how to test it before publishing? How to be sure that everything you introduced into module.xml is installed properly?

See the step-by-step instruction below!

If one of your packages on OEX receives a review you get notified by OEX only on YOUR package.
​​​So @Evgeny Shvarov suggested publishing my monthly summary of my reviews here in DC.
It reflects my experience with the status I found at the time of my review.

For several weeks I'm creating reviews on OEX.
So I'd like to explain to you the criteria that I apply to find my ratings.
Of course, each reviewer is an independent person and has his own criteria and his own opinion.
And that's good and important! As Winston Churchill once said:

"If 2 people always have the same opinion, then 1 of them is superfluous"

All source code to the article is available at: https://github.com/antonum/ha-iris-k8s