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

$ docker pull containers.intersystems.com/intersystems/iris-community:latest-em
latest-em: Pulling from intersystems/iris-community
5526e9f3d5c5: Already exists
352b407541ae: Already exists
f6bff04f5338: Already exists
8c3b528467ff: Downloading [=======================>                           ]  125.8MB/262.2MB
e2b23b0bff05: Downloading [=============>                                     ]  124.8MB/462.1MB
failed to copy: httpReadSeeker: failed open: could not fetch content descriptor sha256:8c3b528467ff8cc07d86a4979e3e7b8fd36734205539923c8750e1d523f23367 (application/vnd.docker.image.rootfs.diff.tar.gzip) from remote: not found

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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
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Contestant
Article
· Feb 24 2m read
The bewitched line terminator

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.

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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

https://www.youtube.com/embed/dnG6ErHZDXA
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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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?

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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

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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:

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Article
· Jan 28 3m read
Fhir-HepatitisC-Predict

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

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Article
· Jan 21 1m read
Debugging a crashing container

I have been struggling with a docker run command that kept crashing, the error message was too generic to point me to the right direction.

Since the container is shut down after the failure, I was unable to login to it in order to figure out the problem.

I had to run the container in a way that I'll be able to log into it before it crashed, so I found the adding -u false prevents the docker run command to run the iris session IRIS and the container stayed up and running. then I was able to log into it using:

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I am trying to get data out of a cache backup. I am completely new to Intersystems Cache.

I got a docker image of Cache from this post:

I want to get the data from my backup into this docker image. First, I need access to a gui and a cli, then I need some instructions or documentation for actually pulling in the backup data.

Thanks! This is all new, so pardon my lack of knowledge here. If I can provide any more information let me know.

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Hello everyone,

I'm currently conducting tests using the docker image intersystemsdc/irishealth-ml-community:latest. I'm accessing the Linux terminal and attempting to utilize the superuser functions, but I'm encountering an issue with the password. Could someone assist me, please?



Best Regards,
Flávio

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Windows Subsystem for Linux (WSL) is a feature of Windows that allows you to run a Linux environment on your Windows machine, without the need for a separate virtual machine or dual booting.

WSL is designed to provide a seamless and productive experience for developers who want to use both Windows and Linux at the same time**.

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I'm trying to install the Inter System IRIS data platform in windows and I'm not able to download the installer file. Some one can help me with this.

Please look at the below image for the reference for the error I'm facing

And also I'm looking for the docker version of the IRIS, but here also I'm not able to identify the IMAGE for the same. Please look into the below image.

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While starting the development with IRIS we have a distribution kit or in case of Docker we are pulling the docker image and then often we need to initialize it and setup the development environment. We might need to create databases, namespaces, turn on/off some services, create resources. We often need to import code and data into IRIS instance and run some custom code to init the solution.

Lajos Simicska declares war on Viktor Orban: "It's either him or me!" - The  Budapest Beacon

And there plenty of templates on Open Exchange where we suggest how to init REST, Interoperability, Analytics, Fullstack and many other templates with ObjectScript. What if we want to use only Python to setup the development environment for Embedded Python project with IRIS?

So, the recent release of Embedded Python template is the pure python boilerplate that could be a starting point for developers that build python projects with no need to use and learn ObjectScript. This article expresses how this template could be used to initialize IRIS. Here we go!

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Hello,

In response to the infrastructure needs of our company's service, I've created a small API that sends SNMP queries to InterSystems to visualize relevant data for retrieval when the infrastructure implements monitoring.

However, I'm experiencing a timeout issue when attempting to collect information using an SNMP walk. Here is the code for my API's SNMP service:

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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.

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I'm using a customised IRIS Community Edition Docker Container: Node.js has been added and the Native API for Node.js directory moved to a node_modules folder in /home/irisowner. I've changed the _SYSTEM password using the Management Portal (which connects to IRIS just fine)

If I shell into the running container and try to connect with a JS script file containing this:

const IRISNative = require('intersystems-iris-native');

let connectionInfo = {

host: 'localhost',

port: 1972,

ns: 'USER',

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Question
· Oct 10, 2023
Creating a Custom IRIS Container

I think there have been articles published here before but I'm struggling to find them:

I'd like to be able to create my own customised version of the official IRIS Community Edition Container, eg with Node.js and a number of modules pre-installed. So, for example, can I create my own Dockerfile that begins with something like:

FROM containers.intersystems.com/intersystems/iris-community-arm64:2023.2.0.227.0

and then I can add my own stuff to it?

... or is there another recommended approach?

Any info appreciated

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iris-docker-multi-stage-script

A python script to keep your docker iris images in shape ;)

Witout changing your dockerfile or your code you can reduce the size of your image by 50% or more !

TL;DR

Name the builder image builder and the final image final and add this to end of your Dockerfile:

Modify your Dockerfile to use a multi-stage build:

ARG IMAGE=intersystemsdc/irishealth-community:latest
FROM $IMAGE as builder

Add this to end of your Dockerfile:

FROM $IMAGE as final

ADD --chown=${ISC_PACKAGE_MGRUSER}:${ISC_PACKAGE_IRISGROUP} https://github.com/grongierisc/iris-docker-multi-stage-script/releases/latest/download/copy-data.py /irisdev/app/copy-data.py

RUN --mount=type=bind,source=/,target=/builder/root,from=builder \
    cp -f /builder/root/usr/irissys/iris.cpf /usr/irissys/iris.cpf && \
    python3 /irisdev/app/copy-data.py -c /usr/irissys/iris.cpf -d /builder/root/ 

Boom! You're done!

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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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