It's been a long time since I didn't write an update post on IoP.

So what's new since IoP command line interface was released?

Two new big features were added to IoP:

• Rebranding: the grongier.pex module was renamed to iop to reflect the new name of the project.
• Async support: IoP now supports async functions and coroutines.

Rebranding

The grongier.pex module was renamed to to reflect the new name of the project.

The grongier.pex module is still available for backward compatibility, but it will be removed in the future.

I implemented a Python Flask application for the 2024 Python Contest with a page that provides common form fields for an outgoing email such as the To and CC fields. And it lets you input a message as well as uploading text based attachments.
Then using LlamaIndex in Python, the app analyzes the content you put in and returns to you in a result box if there is anything that should stop you from sending that email.
Take a look at the Github repo here.

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.

Hello Community,

How to convert the IRIS %DynamicArray into python list. I got " <THROW>TestDyncArray+1^MyLearn.Pyth.NewClass1.1 *%Exception.PythonException <PYTHON EXCEPTION> 246 <class 'AttributeError'>: <unknown exception data>" error when passing array values to python class.

ClassMethodDo..DyncArrayInPy

Thanks!

Frontend development can be a daunting, even nightmarish, task for backend-focused developers. Early in my career, the lines between frontend and backend were blurred, and everyone was expected to handle both. CSS, in particular, was a constant struggle; it felt like an impossible mission.

Although I enjoy frontend work, CSS remains a complex challenge for me, especially since I learned it through trial and error. The meme of Peter Griffin struggling to open blinds perfectly captures my experience of learning CSS.

But today, everything changes.

Hi Contestansts!

Here are the results of bonuses gathered by applications in InterSystems Python Programming Contest 2024!

I received some really excellent feedback from a community member on my submission to the Python 2024 contest. I hope its okay if I repost it here:

you build a container more than 5 times the size of pure IRIS

and this takes time

container start is also slow but completes

backend is accessible as described

a production is hanging around

frontend reacts

I fail to understand what is intended to show

the explanation is meant for experts other than me

The submission is here: https://openexchange.intersystems.com/package/IRIS-RAG-App

Hi Community, 
We invite you to join our next Meetup in Cambridge, MA on August 28, 5:30-7:30 pm.
>> RSVP here <<

Hi Community,

We are pleased to invite you to the next InterSystems online programming contest, which is focused on Python!

🏆 InterSystems Python Contest 🏆

Duration: July 15 - August 4, 2024

Prize pool: $14,000

Hi all,

Some days ago, I've seen a youtuber talking about how to create a neural network (sorry, is in spanish)

In short, it uses the neural network to learn how to convert degrees Celsius to degrees Fahrenheit.
Degrees Fahrenheit = (degrees Celsius × 9/5) +32
In this video, he uses Python to create the neural network, where he creates a table with the values ​​of degrees Celsius and degrees Fahrenheit.

The invention and popularization of Large Language Models (such as OpenAI's GPT-4) has launched a wave of innovative solutions that can leverage large volumes of unstructured data that was impractical or even impossible to process manually until recently. Such applications may include data retrieval (see Don Woodlock's ML301 course for a great intro to Retrieval Augmented Generation), sentiment analysis, and even fully-autonomous AI agents, just to name a few!

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.

When registering the components: I used this command:
"Utils.migrate("/external/src/CoreModel/Python/settings.py)" ;
The error appears: "An error has occurred: iris.cls: error finding class",
I changed with these two lines:
result = subprocess.run(["iop", "-m", "/external/src/CoreModel/Python/settings.py"], stdout=subprocess.PIPE, stderr=subprocess.PIPE, check=True)
subprocess.run(["iop", "-m", "/external/src/CoreModel/Python/settings.py"], stdout=subprocess.DEVNULL, stderr=subprocess.

Hi Developers!

Here are the technology bonuses for the InterSystems Python Contest 2024 that will give you extra points in the voting:

• IRIS Vector Search usage - 3
• Python Pex Interoperability - 3
• Python in BPL - 2
• WSGI Web Apps - 2
• Python libs: sqlalchemy and dbt - 2
• LLM AI or LangChain usage: Chat GPT, Bard and others - 3
• NoObjectScriptLine - 3
• Hugginface - 2
• Docker container usage - 2 
• ZPM Package deployment - 2
• Online Demo - 2
• Implement InterSystems Community Idea - 4
• Find a bug in Embedded Python - 2
• First Article on Developer Community - 2
• Second Article On DC - 1
• First Time Contribution - 3
• Video on YouTube - 3
• YouTube Short - 1

See the details below.

I have been using embedded python for more than 2 years now on a daily basis. May be it's time to share some feedback about this journey.

Why write this feedback? Because, I guess, I'm like most of the people here, an ObjectScript developer, and I think that the community would benefit from this feedback and could better understand the pros & cons of chosing embedded python for developing stuff in IRIS. And also avoid some pitfalls.

• Feedback : Using embedded python daily for 2 years
• Introduction
• Starting with Python
  • Python is not ObjectScript
    • Pep8
    • Modules
    • Dunders
  • Conclusion
• Embedded Python
  • What is Embedded Python ?
  • How to use Embedded Python ?
  • How I use Embedded Python
    • Use Python libraries and code as they were ObjectScript classes
      • With the language tag
      • Without the language tag
      • Conclusion
    • Use a python first approach
      • Example : iris-fhir-python-strategy
      • Remarks
      • Where to find the code
        • How to implement a Strategy
        • Implementation of InteractionsStrategy
        • Implementation of Interactions
        • Interactions in Python
        • Implementation of the abstract python class
      • Too long, do a summary

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

• /iris - Returns a JSON object with the top 10 classes present in the IRISAPP namespace.
• /interop - A ping endpoint to test the interoperability framework of IRIS.

Context

The Web Server Gateway Interface (WSGI) is a simple calling convention for web servers to forward requests to web applications or frameworks written in the Python programming language. WSGI is a Python standard described in detail in PEP 3333.

🤔 Ok, great definition and what the point with iris ?

IRIS 2024.2+ has a new feature that allows you to run WSGI applications directly on IRIS. This feature is a great way to integrate IRIS with other Python frameworks and libraries.

Visual Studio Code releases new updates every month with new features and bug fixes, and the June 2024 release is now available. 

Version 1.91 includes: 

• Preview: Incoming/Outgoing changes graph - Visualize incoming and outgoing changes in the Source Control view.
• Python environments - Enhanced environment discovery with python-environment-tools.
• Smart Send in native REPL - Smoothly run code chunks in the native REPL.
• GitHub Copilot extensibility - Chat and Language Model APIs available in VS Code Stable.
• Preview: Profiles Editor - Manage your profiles in a single place.

Collision Theory Confirmed

Hi Developers!

This is the second post on the resources for Developers. This part is about Open Exchange

Using Open Exchange to Learn InterSystems

InterSystems Open Exchange is a applications gallery of tools, connectors, and libraries which InterSystems Developers submit to share the experience, approaches and do business. All the applications are either built with InterSystems data platforms or are intended to use for development with InterSystems data platforms.

If you are a beginner developer you can take a look at applications in Technology Example category. All the applications in this category come with open source code repositories, so you are able to run the samples and examples in a docker container with IRIS on your laptop or in the cloud IRIS sandbox. Examples:

Hello everyone,

Recently, I've been working on a Business Process that processes a large JSON FHIR message containing up to 50k requests in an array within the JSON.

Currently, the code imports the JSON as a dynamic object from the original message stream, obtains an iterator from it, and processes each request one at a time in a loop.

The performance meets the requirements, even with much larger requests than the one exposed above.

Background

In InterSystems IRIS versions >=2021.2 we can use the accompanying irispython binary to directly write python code on top of our IRIS instances. This lets us use python packages, call methods, make SQL queries, and do nearly anything in Objectscript but pythonic.

For example, below I check if a namespace is present:

#!/usr/irissys/bin/irispython
import iris
# call arbitrary class methods
result = iris.cls('%SYS.Namespace').Exists('USER')
if result == 1:
    print(f"Namespace USER is present")

But, what if my method in IRIS has special parameters such as Output and ByRef parameters?

Pandas is not just a popular software library. It is a cornerstone in the Python data analysis landscape. Renowned for its simplicity and power, it offers a variety of data structures and functions that are instrumental in transforming the complexity of data preparation and analysis into a more manageable form. It is particularly relevant in such specialized environments as ObjectScript for Key Performance Indicators (KPIs) and reporting, especially within the framework of the InterSystems IRIS platform, a leading data management and analysis solution.

Hi,

I am using Windows 10 and I cannot find an installation source for the irisnative python library.  I tried to install the wheel file provided by intersystems on github (https://github.com/intersystems/quickstarts-python/).

c:\wc\quickstarts-python\Solutions\nativeAPI_wheel>pip install irisnative-1.0.0-cp34.cp35.cp36.cp37.cp38.cp39-none-win_amd64.whl

 

Is irisnative supported on Windows 10 ?  The purpose is to execute ObjectScript command from external python code.

Kind regards,

Alin C Soare.

Hi,

In my Iris Installation I cannot use python. When I try to install external libraries I get no OPENSSL_Applink:

$ pwd
/cygdrive/c/InterSystems/IRIS2/bin
$ ./irispip install --target ../Mgr/python/ pandas
OPENSSL_Uplink(00007FFBEC2F7068,08): no OPENSSL_Applink

I get the same error when I try to install a wheel file:

$ ../../bin/irispip install ./intersystems_irispython-3.2.0-py3-none-any.whl
Processing c:\intersystems\iris2\dev\python\intersystems_irispython-3.2.0-py3-none-any.whl
Installing collected packages: intersystems-irispython
Successfully installed intersystems-irispython-3.2.0
OPENSSL_Uplink(00007FFBCBE37068,08): no OPENSSL_Applink

Hi,

I have over 36 years of experience developing solutions with MUMPS and Cache.    Additionally, I also develop in Python and HTML.

I have no experience in Vista or PSL, but I would be very happy to have the opportunity to learn it. I'm looking for a job opportunity.

Best,

Carlos

We have a yummy dataset with recipes written by multiple Reddit users, however most of the information is free text as the title or description of a post. Let's find out how we can very easily load the dataset, extract some features and analyze it using features from OpenAI large language model within Embedded Python and the Langchain framework.

Loading the dataset

First things first, we need to load the dataset or can we just connect to it?

DNA Similarity and Classification was developed as a REST API utilizing InterSystems Vector Search technology to investigate genetic similarities and efficiently classify DNA sequences. This is an application that utilizes artificial intelligence techniques, such as machine learning, enhanced by vector search capabilities, to classify genetic families and identify known similar DNAs from an unknown input DNA.

K-mer Analysis: Fundamentals in DNA Sequence Analysis

Fragmentation of a DNA sequence into k-mers is a fundamental technique in genetic data processing.

TL;DR

This article introduces using the langchain framework supported by IRIS for implementing a Q&A chatbot, focusing on Retrieval Augmented Generation (RAG). It explores how IRIS Vector Search within langchain-iris facilitates storage, retrieval, and semantic search of data, enabling precise and up-to-date responses to user queries. Through seamless integration and processes like indexing and retrieval/generation, RAG applications powered by IRIS enable the capabilities of GenAI systems for InterSystems developers.

Hi, I need to use some pythonic library from cos.
To use them I need a python dict with some python object in it
Ex in python:

obj = pythonObject("value1")
dict = {object : obj 

To do that I first tried to pass by dynamic object, to later convert them in dict from Json. But unfortunately the dynamic object doesn't accept python object inside it. And my pythonic function need to have an instance of my python object.