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#Open Exchange

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InterSystems Data Platform Solutions Open Exchange is a gallery of software solutions, tools, and frameworks which were developed with InterSystems Data Platform (Caché, Ensemble, HealthShare, InterSystems IRIS, InterSystems IRIS for Health) or are intended to help in development, deployment and support the solutions built with InterSystems Data Platform.

You can use any of the published assets or you can publish your own tool, technology example or solution.

Discover Open Exchange.

Article
· Jul 4, 2019 1m read
Install EnsDemo on IRIS

Has you may know, EnsDemo from Ensemble are not available anymore on IRIS.

This is a good thing, Iris is cloud oriented, it must be light, fast. Now the new way of sharing samples or modules is through git, continuous integration and OpenExchange.

But, in some cases you want to go back to your good old samples from EnsDemo to get inspiration or best practices.

Good news, there is a git for that :

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In an earlier article (hope, you’ve read it), we took a look at the CircleCI deployment system, which integrates perfectly with GitHub. Why then would we want to look any further? Well, GitHub has its own CI/CD platform called GitHub Actions, which is worth exploring. With GitHub Actions, you don’t need to rely on some external, albeit cool, service.

In this article we’re going to try using GitHub Actions to deploy the server part of InterSystems Package Manager, ZPM-registry, on Google Kubernetes Engine (GKE).

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Article
· Sep 2, 2022 1m read
Reviews on Open Exchange - Aug. 2022

If one of your packages on OEX receives a review you get notified by OEX only own YOUR package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

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Article
· Mar 28 2m read
Reviews on Open Exchange - #50

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.
Some were accepted and merged, and some were just ignored.
So if you made a major change and expect a changed review just let me know.

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Article
· Dec 12, 2019 2m read
Creating Portlets in DeepSee

What is a portlet?

The simple answer is: a custom widget. A portlet can exist by itself on a DeepSee dashboard, it can be used along side standard DeepSee widgets, or along side other portlets. The rendering of the custom widget is completely user defined. This means you can embed a web page, create a form to perform any sort of action needed based on the data on your dashboard, use third party charting libraries, or simply display data from outside of a DeepSee cube.

How to get started

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Article
· Apr 5, 2022 4m read
Serializing Python objects in globals

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.

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Article
· Jan 30, 2023 2m read
JSONfile-to-Global #1

The similarity between JSON objects + arrays and Globals in IRIS or Caché is evident.
With small and medium size JSON objects navigation across %Dynamic Objects is comfortable.
But with large and/or deep cascaded objects it becomes a challenge.

The presented tool offers 3 variants

  • loading an already existing %Dyamic object or Array into a global of your choice
  • loading a %Stream containing a JSON object into a global of your choice
  • loading an external File containing a JSON object into a global of your choice

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Article
· Jun 29, 2023 3m read
IRIS Api Tester

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:

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Last time we deployed a simple IRIS application to the Google Cloud. Now we’re going to deploy the same project to Amazon Web Services using its Elastic Kubernetes Service (EKS).

We assume you’ve already forked the IRIS project to your own private repository. It’s called <username>/my-objectscript-rest-docker-template in this article. <root_repo_dir> is its root directory.

Before getting started, install the AWS command-line interface and, for Kubernetes cluster creation, eksctl, a simple CLI utility. For AWS you can try to use aws2, but you’ll need to set aws2 usage in kube config file as described here.

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In recent years, artificial intelligence technologies for text generation have developed significantly. For example, text generation models based on neural networks can produce texts that are almost indistinguishable from texts written by humans.
ChatGPT is one such service. It is a huge neural network trained on a large number of texts, which can generate texts on various topics and be matched to a given context.

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Introduction

A password manager is an important security tool that allows users to store and manage their passwords without the need to remember or write them down in insecure places. In this article, we will explore the development of a simple password manager using the Flask framework and the InterSystems IRIS database.

Key Features

Our password manager application will provide the following key features:

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image

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.

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Article
· Dec 31, 2019 3m read
Portlets that use data from DeepSee


In the previous part of this series, we saw how to reference a web page that will enhance our dashboard experience. Now we will look into referencing data that is already in our cubes.

In this example, we will be referencing the controller object and we will be extracting data from it. This data will then be displayed as text in our Dashboard. In Part 5, we will show how to incorporate this data into other charting libraries.

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Hi Developers!

Another way to start using InterSystems ObjectScript Package Manager is to use prebuilt container images of InterSystems IRIS Community Edition and InterSystems IRIS for Health Community Edition.

We deploy this IRIS images on DockerHub and you can run it with the following command:

docker run --rm -p 52773:52773 --init --name my-iris -d intersystemsdc/iris-community:2019.4.0.383.0-zpm

Launch a terminal with:

docker exec -it my-iris iris session IRIS

And install zpm-module as:

USER>zpm 

zpm: USER>install objectscript-math

[objectscript-math] Reload START

[objectscript-math] Reload SUCCESS

[objectscript-math] Module object refreshed.

[objectscript-math] Validate START

[objectscript-math] Validate SUCCESS

[objectscript-math] Compile START

[objectscript-math] Compile SUCCESS

[objectscript-math] Activate START

[objectscript-math] Configure START

[objectscript-math] Configure SUCCESS

[objectscript-math] Activate SUCCESS

zpm: USER>

And use same commands for InterSystems IRIS for Health using the tag: intersystemsdc/irishealth-community:2019.4.0.383.0-zpm

The images are being published on IRIS Community Edition and IRIS Community Edition for Health repositories of Docker Hub.

We will update tags with every new release of IRIS and ZPM.

Happy coding!

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Article
· Apr 20, 2021 3m read
Why gj :: locate?

You may think it isn’t too difficult to get from label+offset^routine to the actual source line responsible for the error. For an expert it isn't that hard... most of the time. But there are enough oddities and special rules that even an expert can get it wrong, whilst spending a lot of time trying to get there.

gj :: locate is the latest tool from George James Software – it debugs any error, class or routine by converting the location of an error in compiled .int code to the corresponding location in your source, and then taking you right there.

Image this scenario…

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The most recent release of Serenji features our innovative gj::locate technology. It was a standalone tool we originally created for a Developer Community contest earlier this year, but we've incorporated it into our debugger after some great feedback from developers. 

It works by navigating you directly to the source of your server-side errors in just a couple of clicks - enabling you to quickly fix errors without the need to count tedious lines of code... and let's be real, who has got time for that when you're under pressure to fix this bug? 

It's simple and straightforward to use:

1. Click on the gj::locate panel in the status bar

2. Enter the ObjectScript error message or line reference from a class/.mac routine..

3. gj::locate then does the work for you by taking you straight to the corresponding line in your source code.

Easy peasy... and with time to spare to make yourself a coffee before your deadline! 

The video below shows it in action - let us know if you've already given it a go. Or, if you're interested in trying it out we offer a free 30 day trial license, just drop me a message through the Developer Community or email us at info@georgejames.com.

Serenji 3.2.0 utilising gj::locate technology

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Article
· Sep 27, 2022 2m read
Reviews on Open Exchange - Sep. 2022

If one of your packages on OEX receives a review you get notified by OEX only own YOUR package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

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Problem

In a fast-paced clinical environment, where quick decision-making is crucial, the lack of streamlined document storage and access systems poses several obstacles. While storage solutions for documents exist (e.g, FHIR), accessing and effectively searching for specific patient data within those documents meaningfully can be a significant challenge.

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Article
· Sep 24, 2023 2m read
Reviews on Open Exchange - #32

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

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Hi Community,

In this article, I will introduce my application iris-AgenticAI .

The rise of agentic AI marks a transformative leap in how artificial intelligence interacts with the world—moving beyond static responses to dynamic, goal-driven problem-solving. Powered by OpenAI’s Agentic SDK , The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm.
This application showcases the next generation of autonomous AI systems capable of reasoning, collaborating, and executing complex tasks with human-like adaptability.

Application Features

  • Agent Loop 🔄 A built-in loop that autonomously manages tool execution, sends results back to the LLM, and iterates until task completion.
  • Python-First 🐍 Leverage native Python syntax (decorators, generators, etc.) to orchestrate and chain agents without external DSLs.
  • Handoffs 🤝 Seamlessly coordinate multi-agent workflows by delegating tasks between specialized agents.
  • Function Tools ⚒️ Decorate any Python function with @tool to instantly integrate it into the agent’s toolkit.
  • Vector Search (RAG) 🧠 Native integration of vector store (IRIS) for RAG retrieval.
  • Tracing 🔍 Built-in tracing to visualize, debug, and monitor agent workflows in real time (think LangSmith alternatives).
  • MCP Servers 🌐 Support for Model Context Protocol (MCP) via stdio and HTTP, enabling cross-process agent communication.
  • Chainlit UI 🖥️ Integrated Chainlit framework for building interactive chat interfaces with minimal code.
  • Stateful Memory 🧠 Preserve chat history, context, and agent state across sessions for continuity and long-running tasks.

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Have you ever needed a math function but could not find what you needed and ended up writing your own? Look no further! ObjectScript-Math is here to solve all your math related function needs.

ObjectScript-Math is an Open Source library for ObjectScript Math functions. It is now available on Open Exchange. This library contains a mix of new functions that are not currently available and functions that are available. The existing functions will be wrapped for use from ObjectScript-Math so that all Math functions can have a central location.

This library will continue to grow, so give it a try and give your feedback!

Don't see what you are looking for? Please feel free to submit requests for additional functions or contribute code yourself!

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As you probably know, InterSystems IRIS has a mechanism for auto-generating methods. So, when you create an index in a class, you create methods that make your work easier. There is also a good article on Community that describes such methods.

Take, for example, IndexNameOpen(val), where IndexName is the name of the corresponding index. This method returns an object in which the value of this index corresponds to the value of val.

But this method is available only for unique indexes.

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