Hi Community,

to learn quickly and in total autonomy on IRIS, I offer you some links which can help you in this beautiful bicycle ride rich in discoveries:

1. InterSystems Developer Hub​​​​​​
   • Full Stack TutorialBuild the IT infrastructure for a company that roasts and sells coffee. See how InterSystems IRIS can serve as your IT architecture backbone

Hi folks

I want to tell you how you can make your own assistant based on IRIS and OpenAI (perhaps you can then move to your own AI models)

iris-recorder-helper

This is the first time I have fully tried developing an application for IRIS and I want to point out steps that may also be useful to you

1. Deploy to google cloud via github workflows (One container with an IRIS database and a web server in Python (flask)) and placing secrets inside the application not through an environment variable
2. Record audio from the browser and send to the server
3. Launching cron jobs via the ZPM module
4. Integration with OpenAi

First, about the application itself

You can try it using the link and see how it works - https://iris-recorder-helper.demo.community.intersystems.com/

Hi Developers!

Here is the bonus results for the applications in InterSystems Python Programming Contest 2023:

In the ever-evolving landscape of data science and machine learning, having the right tools at your disposal can make all the difference. In this article, we want to shine a spotlight on two essential Python libraries that have become indispensable for data scientists and machine learning practitioners alike: Matplotlib and scikit-learn.

Matplotlib: Crafting Visualizations with Precision

Matplotlib is a versatile and powerful library for creating static, animated, and interactive visualizations in Python.

Hi Community
In this article, I will introduce my application IRIS-GenLab.
IRIS-GenLab is a generative AI Application that leverages the functionality of Flask web framework, SQLALchemy ORM, and InterSystems IRIS to demonstrate Machine Learning, LLM, NLP, Generative AI API, Google AI LLM, Flan-T5-XXL model, Flask Login and OpenAI ChatGPT use cases.

Hi Developers!

For several years now Visual Studio Code has supported the notebook coding paradigm with a maturing UX and an API that is enabling a notebook extensions ecosystem to grow. One of the best-known notebook platforms is Jupyter Notebooks. A Microsoft team publishes an extension that allows VS Code to handle .ipynb notebook files. These can either work against a local Python environment or connect to a Jupyter Server, which typically hosts remote Python environments with beefier resources.

What if your InterSystems IRIS environments, whether local on your workstation or remote in your organization / cloud, could operate as Jupyter Servers? And not only for Embedded Python but also for ObjectScript and SQL

"If we build it, will they come?"

Hi Community,

We're pleased to invite you to the upcoming webinar in Hebrew: 

👉 Leveraging Embedded Python in Hebrew 👈

🗓️ Date & time: September 12th, 3:00 PM IDT

Hey Developers,

Watch this video to learn how to use Embedded Python using applications from the Open Exchange app gallery:

⏯ Embedded Python Use Cases @ Global Summit 2023

Hi Developers,

We are pleased to invite you all to the new InterSystems online programming contest focused on Python! 

🏆 InterSystems Python Programming Contest 🏆

Duration: September 4 - 24, 2023

Prize pool: $14,000

Hi all,
I am trying to execute a query like the below code.
set statement = ##class(%ResultSet).%New("some_class:query_method").   // here query method is empty and with rowspec some columname

statement.Execute(param1)

I want to fetch data type of column value returned from above. eg - Name - VARCHAR, amount - INTEGER etc.
How can I get it. Or if not possible directly. Is there any other way to validate or get datatype of values returned. Line we have type() in python3

In a previous question, I have illustrated a few problems using Embedded Python
interactively as you would do from Docker console or IRIS terminal.
Investigation of the causes brought a rather clear picture. It's a classic impedance mismatch

• While consoles act rather relaxed WebTerminal is very precise in output presentation line terminators from (Embedded) Python's print() function are typically <LF>  0x0A  $C(10) And WebTerminal does exactly this while eg. my console in Docker also does a <CR> und cover. So a sequence of print() looks like a scale
• Compared to ObjectScript where a WRTE !

For my Embedded Python ONLY demo package I need some user input.
Similar to ObjectScript

read "say somthing",reply

I use the Python equivalent

reply = input("say something")

And this works excellent without problems  from Terminal or Doker console

BAD SURPRISE: 
withWebTermnial ObjectSscript works fine, but embedded Python fails badly.

I do not care about line terminators without <CR>
but it is just impossible to receive any input.

This is no improvement. The content is missing !!!!

QUESTION to the experts.

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 in Python as a demo.

Overview

The online documentation contains a reference Defining and Using Class Queries -

Customizing Stored Procedures with ObjectScript directly has been useful to access NoSQL storage and external messaging via integration, to present output in tabular format.

For example: An application that already uses 90% SQL interaction from a front end, can then also extend this access to the other 10% of required platform functionality, via the same SQL access.

The purpose of this article is to explore how to achieve the same effect via Embedded Python methods.

We continue with the series of articles based on the QuinielaML application.

In today's article I will describe how to work with the Embedded Python functionality available in InterSystems products.

Embedded Python allows us to use Python as a programming language within our productions, being able to take advantage of all the features available in Python. Here you can expand information about it.

Welcome dear members of the Community to the presentation and first article of a small project that will demonstrate the capabilities of InterSystems IRIS to provide full backup functionality for a web application developed in Angular. This article will be limited to presenting the concept as well as the InterSystems IRIS functionalities used in a general way, going into more detail in subsequent articles.

Welcome to QuinielaML!

Hi All,

We're doing our first babysteps with embedded Python and IRIS with an interoperability solution. We want to convert a CSV file to an Excel xlt file.

As service we've got a EnsLib.File.PassthroughService which picks up a csv file

As operation we've got a EnsLib.File.PassthroughOperation which writes the Excel file.

In the middle:

We've created an Business Process with an %Stream.GlobalCharacter in the Request and a %Stream.GlobalCharacter  in the Response.

But how do we get the %Stream.GlobalCharacter in the Python ClassMethod?

Hello,

I need AES ECB with PKSC7 padding for an interface.
Unfortunately, the %SYSTEM.Encryption.AESEncode cannot do this.

Therefore I wanted to include the following python lib.
PyCrptydome -> https://pycryptodome.readthedocs.io/en/latest/index.html

We need to install the package offline on the system. So I downloaded it and put it in the MGR/Python/ directory.

However, when I try to install it, I get the following error message:

E:\HealthConnect\20201\bin>irispip install E:\HealthConnect\20201\Mgr\python\pycryptodome-3.18.0.tar.

1. interoperability-embedded-python

This proof of concept aims to show how the iris interoperability framework can be used with embedded python.

1.1. Table of Contents

• 1. interoperability-embedded-python

  • 1.1. Table of Contents
  • 1.2. Example
  • 1.3. Register a component

• 2. Demo

• 3. Prerequisites

• 4. Installation

  • 4.1. With Docker
  • 4.2. Without Docker
  • 4.3. With ZPM
  • 4.4. With PyPI
    • 4.4.1. Known issues

• 5. How to Run the Sample

  • 5.1. Docker containers
  • 5.2. Management Portal and VSCode
  • 5.3. Open the production

• 6. What's inside the repository

  • 6.1. Dockerfile
  • 6.2. .vscode/settings.json
  • 6.3. .vscode/launch.json

   _________ ___ ____  
  |__  /  _ \_ _|  _ \ 
    / /| |_) | || |_) |
   / /_|  __/| ||  __/ 
  /____|_|  |___|_|    

Starting in version 2021.1, InterSystems IRIS began shipping with a python runtime in the engine's kernel. However, there was no way to install packages from within the instance. The main draw of python is its enormous package ecosystem. With that in mind, I introduce my side project zpip, a pip wrapper that is callable from the iris terminal.

What is zpip?

Previous post - Using AI to Simplify Clinical Documents Storage, Retrieval and Search

This post explores the potential of OpenAI's advanced language models to revolutionize healthcare through AI-powered transcription and summarization. We will delve into the process of leveraging OpenAI's cutting-edge APIs to convert audio recordings into written transcripts and employ natural language processing algorithms to extract crucial insights for generating concise summaries.

Hi Community,
In this article I will demonstrate the usage of InterSystems Embedded Python, We will cover below topics:

• 1-Embedded Python Overview
• 2-Usage of Embedded Python
  • 2.1- Using a Python Library from ObjectScript
  • 2.2- Calling the InterSystems APIs from Python
  • 2.3- Using ObjectScript and Python together
• 3-Using python Built-in Functions
• 4-Python Modules/Libraries 
• 5-Embedded Python Use Cases
  • 5.1- Printing PDF by using python Reportlab Library
  • 5.2- Generating QR code by using Python Qrcode Library
  • 5.3- Get GEO location by using Python Folium Library
  • 5.

Hi colleagues!

InterSystems Grand Prix 2023 unites all the key features of InterSystems IRIS Data Platform!

Thus we invite you to use the following features and collect additional technical bonuses that will help you to win the prize!

Here we go!

• LLM AI or LangChain usage: Chat GPT, Bard and others - 6
• InterSystems FHIR SQL Builder- 5
• InterSystems FHIR - 3
• IntegratedML - 4
• Native API - 3
• Embedded Python - 4
• Interoperability - 3
• Production EXtension(PEX) - 2
• Adaptive Analytics (AtScale) Cubes usage - 3
• Tableau, PowerBI, Logi usage - 3
• InterSystems IRIS BI - 3 
• Columnar Index Usage - 1
• Docker container usage - 2 
• ZPM Package deployment - 2
• Online Demo - 2
• Unit Testing - 2
• Implement InterSystems Community Idea - 4
• First Article on Developer Community - 2
• Second Article On DC - 1
• Code Quality pass - 1
• First Time Contribution - 3
• Video on YouTube - 3

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.

Motivation

AI has made document search remarkably powerful. Question and answering over docs has never been easier with open-source tools like Chroma and Langchain to store and use vector embeddings to query across Generative AI APIs.

My major interest is  Working with Globals in Embedded Python.
So I checked the available official documentation.

#1 Introduction to Globals
an attempt of a generic description of what a global is. Pointing to

#2 A Closer Look at ObjectScript
But where is Embedded Python ?
Way down you see

#3 Embedded Python

3.1 Embedded Python Overview
3.1.1 Work with Globals
Great if you have never seen a Global before
Otherwise a shocking primitive example
3.2 Using Embedded Python
Last hope: >>> but there is just NOTHING visible.
This is more than just disappointing! Even IRIS Native API for Python is more detailed.

Hi folks!

How can I refer to a classmethod of the same class while coding another classmethod with Embedded python?

I know that I can call it with iris.cls(classname).MethodName(), but it's more cumbersome even comparing with ObjectScript, where I can call ..MethodName().

Compare ObjectScript:

do ..SetupGame()

and the same call in EmbeddedPython:

    iris.cls('eshvarov.sample.SeaBattle.GamePython').SetupGame()

Thoughts?

Has anyone come across a good using Embedded Python to convert a Python List object to an IRIS %List object?

My use case is I want to open an SQL entry with an Objectscript class method, then pass some information from that row into a separate Python class method which will then create a Python List object, then have the Python class method return that list back to the Objectscript class method in such a way that the Python List can be converted to an IRIS %List object for me to then use in the Objectscript code.

Hi folks!

I have a need to use symilar to $property function from Python. Here is the code:

obj=iris.cls('some.persistent.class'for

How could I do this? Any trick?

For now I plan to implement a helper function in iris that I will call, but I doubt also how can I transfer oref to IRIS.

Thoughts?

Hi folks!

Just curious, how can I use $znspace in embedded python code?

How does other $functions work, e.g. $zv, $job, etc