#Docker

As a part of the IRIS Python 2024 contest, my colleague Damir and I went with an idea to build a platform called ShelterShare for connecting victims and volunteers for shelter requests . To do so we chose django as a framework and proceeded to build the first version with 3 different docker containers, django, iris and nginx which would then utilize IRIS as a pure Database engine via the beautifly composed django_iris (cudos to Dimitry). As we were progressing fast, we decided to explore the option of running it within the same container as IRIS by utilizing WSGI added in 2024.1. We knew ahead

Hi Community,
In this article, I will introduce my application iris-RAG-Gen .

Iris-RAG-Gen is a generative AI Retrieval-Augmented Generation (RAG) application that leverages the functionality of IRIS Vector Search to personalize ChatGPT with the help of the Streamlit web framework, LangChain, and OpenAI. The application uses IRIS as a vector store.

Application Features

• Ingest Documents (PDF or TXT) into IRIS
• Chat with the selected Ingested document
• Delete Ingested Documents
• OpenAI ChatGPT

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.

Hello,

I have over 30 years of experience developing solutions with MUMPS and IRIS. Additionally, I also develop in C++, Python, Angular... 
Experiences with Container (Docker) , GIT and REST-API's

 I'm seated in Germany and looking for a job opportunity as a freelancer who mostly works from home office.

regards Matthias

Good afternoon,

I'm trying to start an instance of the Community Edition with Docker and I get the following error.

I tried downloading the object-script template directly from OpenExchange, but one of these two things always happens:

1 - It gets stuck starting up forever

Description

This is a template for an Django application that can be deployed in IRIS as an native Web Application.

Installation

1. Clone the repository
2. Create a virtual environment
3. Install the requirements
4. Run the docker-compose file

git clone
cd iris-django-template
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
docker-compose up

Usage

The base URL is http://localhost:53795/django/.

Endpoints

Bonjour,

Depuis ce matin j'arrive pas à compiler ou lancer mes programmes qui tourne en local sur docker avec l'image : intersystemsdc/irishealth-community:2024.1-zpm

J'ai toujours cette erreur sur le terminal ou le portal de management : request to http://localhost:52773/api/atelier/ failed, reason: socket hang up

Dans mes logs docker aussi j'ai des erreurs en conitnu , voici un extrait ...

Dans le fichier message.log j'ai aussi des erreurs et voici un extrait 

L'erreur semble indiguer une licence et un nombre de core limite ....

Im trying to run a local instance of the UCR/Patient Index in a container but its giving me an error. 

Here is my docker compose file:

In our previous article, we have explored the most common Kubernetes components:

• We started with the pods and the services we needed to communicate with each other.
• Then, we examined the  Ingress component used to Route traffic into the cluster.
• We also skimmed through an external configuration using ConfigMaps and Secrets.
• Afterward, we analyzed Data persistence with the help of Volumes.
• Finally, we took a quick look at pod blueprints with such replicating mechanisms as Deployments and StatefulSets (the latter is employed specifically for such stateful applications as databases).

In the previous article, we saw in detail about Connectors, that let user upload their file and get it converted into embeddings and store it to IRIS DB. In this article, we'll explore different retrieval options that IRIS AI Studio offers - Semantic Search, Chat, Recommender and Similarity. 

New Updates  ⛴️ 

• Added installation through Docker. Run `./build.sh` after cloning to get the application & IRIS instance running in your local
• Connect via InterSystems Extension in vsCode - Thanks to @Evgeny Shvarov 
• Added FAQ's in the home page that covers the basic info for new users

Semantic Search

here is the command I run 

Hi, guys,

A client is trying to launch a irishealth community docker image on centos 7.6 but failed

How to fix the problem? Thanks.

When IRIS 2023.2 reaches general availability, we’ll be making some improvements to how we tag and distribute IRIS & IRIS for Health containers.

IRIS containers have been tagged using the full build number format, for example 2023.1.0.235.1.  Customers have been asking for more stable tags, so they don’t need to change their dockerfiles/Kubernetes files every time a new release is made.  With that in mind, we’re making the following changes to how we tag container images.

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).

This article aims to provide some more information on mg_web and to explain why it's worth a look for ObjectScript developers.

Hot on the heels of our announcement last week about our ultra-high-performance mg-dbx-napi JavaScript interface for IRIS, we are now pleased to announce a significant new technology - mg_web - which not only represents a new paradigm for JavaScript Web Frameworks, but also delivers significantly higher performance than even the fastest of the established Node.js Web Frameworks, whilst leveraging all the benefits of the big-three industry-standard Web Servers.

I recently had the need to monitor from HealthConnect the records present in a NoSQL database in the Cloud, more specifically Cloud Firestore, deployed in Firebase. With a quick glance I could see how easy it would be to create an ad-hoc Adapter to make the connection taking advantage of the capabilities of Embedded Python, so I got to work.

Preparing the environment

To start, we need an instance of the database on which we can perform the tests. By accessing the Firebase console, we have created a new project to which we have added the Firestore database.

in which Community Docker package can I find 
HS.Gateway.Access.RemoteOperations.cls 

In this article, we will cover below topics:

• What is Kubernetes?
• Main Kubernetes (K8s) Components

What is Kubernetes?

Kubernetes is an open-source container orchestration framework developed by Google. In essence, it controls container speed and helps you manage applications consisting of multiple containers. Additionally, it allows you to operate them in different environments, e.g., physical machines, virtual machines, Cloud environments, or even hybrid deployment environments.

What problems does it solve?

What is the point of having a dedicated registry if it does not work properly most of the time?

I am fairly new to using Docker, and instead of trying to get IIS, a Web Gateway, and Docker desktop working within my Windows environment, I thought I would try running it in a WSL2 Ubuntu environment since this is similar to how use it on my server. I have installed Apache and the Web Gateway on my WSL2 Ubuntu.

iris-1 | [INFO] Starting InterSystems IRIS instance IRIS...
iris-1 | [INFO] Starting Control Process
iris-1 | Global buffer setting requires attention. Auto-selected 25% of total memory.
iris-1 | Allocated 1508MB shared memory
iris-1 | 953MB global buffers, 95MB routine buffers
iris-1 | This copy of InterSystems IRIS has been licensed for use exclusively by:
iris-1 | ISC RE Build Community Key
iris-1 | Copyright (c) 1986-2024 by InterSystems Corporation
iris-1 | Any other use is a violation of your license agreement
iris-1 | Starting IRIS
iris-1 | Unexpected failure: The target 

Hi VSCode users!

Just want to check with you, is this settings.json file ideal enough if I:

1. Want VSCode to connect to IRIS in docker?

2. Want to use VSCode SQL Tool?

The connection settings file:

As most of you probably already know, since approximately the end of 2022 InterSystems IRIS included the columnar storage functionality to its database, well, in today's article we are going to put it to the test in comparison to the usual row storage.

Columnar Storage

What is the main characteristic of this type of storage? Well, if we consult the official documentation we will see this fantastic table that explains the main characteristics of both types of storage (by rows or by columns):

Can anyone give me a hint about this error?

I can compile sources following this approach, create a container and so on, but for example in specific commands to run test, I get the error.

ERROR #6063: Memory allocation for the Monitor failed

--

stats:

CONTAINER ID   CPU %     MEM USAGE / LIMIT     MEM %     NET I/O                  BLOCK I/O            PIDS
29efa407abc9   3.46%     2.094GiB / 77.32GiB      2.71%       40.1MB / 2.1MB   416MB / 4.36GB   61

swap (disabled):

I want to address the nasty problems about reading a flat text in ASCII, UTF*
explicitly excluding HTML, EBCDIC, and other encoding.
According to Wikipedia there are at least 8 variations of control characters.

• CR+LF is typical for Windows
• LF is typical for the Linux/UNIX world
• CR is Mac's favorite

As you can deduct from the names the inspiration comes from mechanical typewriters.

Hey Community,

Watch this video to learn how to use terminal aliases for InterSystems IRIS and also how to set it up with your Docker Developer Environment:

⏯ InterSystems Terminal Aliases and How To Have It In Docker Environment

Hi folks!

Sometimes building an images via docker-compose.yml can take significant time.

And often after a minute or two of waiting it turns out that ports listed in docker-compose are busy and you need to start building process again with different ports or to turn down processes that took it.

Is there a way to check ports listed in docker-compose BEFORE starting the image baking process?

How do you deal with this problem?

Hi Community

This document mainly enriches the content of the previous article and introduces the use of the application.

Perhaps you have already read the previous article, but I still want to say,
After completing the initialization operation (including model creation and training), the Fhir HepatitisC Predict application then predicts HepatitisC

First

You need to input some information on the application, of course, only the results of some checks, not including privacy data.

SHOW

Hello,

How can I send a request via a SOCKS5 proxy in IRIS, using, for example, EnsLib.REST.Operation?

Background

I need to access APIs inside my corporate network, to which I don't have direct access from my home office. I've set up a SOCKS5 proxy via SSH on my host machine like this:

ssh -D 9999 server.corporate.com

I can then make requests with curl to the APIs I need:

curl -x socks5h://localhost:9999 https://api.corporate.com/api/some/endpoint

And I receive a response. Simple!

Also, inside the containerized IRIS, I can execute the request:

Processing FHIR resources with FHIR SQL BUILDER to predict the probability of developing hepatitis C disease

With the development of technology, the medical industry is also constantly advancing, and humans often pay more attention to their own health,
By learning and processing datasets through computers, diseases can be predicted.

Pre condition: Ability to use FHIR and ML
Firstly, our dataset is obtained from kaggle and transformed into FHIR resources based on patient gender, age, ALP or ALT, and imported into the FHIR resource repository