Following this GitHub we will see how the FIX protocol can be implemented easily using IRIS and Python.

If you don't have much time focus on the Send a Quote before the Order part near the end, as it will, in a matter of minute, tell you how to send a Quote Request followed by an Order Request and show you the result from the server, and that in no more than five clicks.

IRIS-fix-protocol

Implementation of the fix protocol using an IRIS python container for the initiator and a regular python container for the acceptor.

Hi everyone, 

I'm attempting to compile a basic Python code on a remote server, but it appears that the compiler doesn't recognize the language.

The remote server is running a virtual machine with Oracle Linux Server 7.9 (64-bit), and it has IRIS for UNIX (Red Hat Enterprise Linux for x86-64) 2021.1 (Build 215U) [HealthConnect:3.3.0] installed.

When I try to compile a script that includes a Python ClassMethod, such as this "testpy.

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,

Do you have any experience in inserting a panda dataframe into SQL IRIS Table? The dataframe.to_sql method uses sqlalchemy and it seems no dialect is available for IRIS.

thanks, Blaise

I am trying to create a database using python. The example shows setting a Name string and a Properties object containing Directory=.

; Use class methods to create an instance
 %SYS>s Name="ABC"
 %SYS>s Properties("Directory")="c:\abc\"
 %SYS>s Status=##Class(Config.Databases).Create(Name,.Properties)
 %SYS>i '$$$ISOK(Status) w !,"Error="_$SYSTEM.Status.GetErrorText(Status)

How do I update and pass the Directory property using Python?

Iris-python-template

Template project with various Python code to be used with InterSystems IRIS Community Edition with container.

Featuring :

• Notebooks
  • Embedded Python Kernel
  • ObjectScript Kernel
  • Vanilla Python Kernel
• Embedded Python
  • Code example
  • Flask demo
• IRIS Python Native APIs
  • Code example

2. Table of Contents

• 1. iris-python-template
• 2. Table of Contents
• 3. Installation
  • 3.1. Docker
• 4. How to start coding
  • 4.1. Prerequisites
    • 4.1.1. Start coding in ObjectScript
    • 4.1.2. Start coding with Embedded Python
    • 4.1.3. Start coding with Notebooks
• 5. What's inside the repository
  • 5.1.

I'm curious about how embedded Python is handled by %CSP classes, particularly in the case of defining REST endpoints on IRIS.
Here is a simple dispatch class for the endpoint /api/pythonapp on my local IRIS instance (2022.3):

Class Python.App.Dispatch Extends %CSP.REST
{

XData UrlMap [ XMLNamespace = "https://www.intersystems.com/urlmap" ]
{
<Routes>
    <Route Url="/test" Method="GET" Call="Hello" />
</Routes>
}

ClassMethod Hello() As %Status [ Language = python ]
{
    import iris

    print('Hello World!

I'm trying to deploy a python/flask application to an Iris4Health container (2025.1) but running into some issues with packages and where they should be installed. 

First one if the flask packages themselves. I tried to installed the flask packages into the python external language server virtual environment, but even doing this when configuring the WSGI application in the web application section, it would complain about not having a WSGI framework. Once I created a custom container and added the flask package at the OS level, I was able to configure the web application without it complaining.

FHIR has revolutionized the healthcare industry by providing a standardized data model for building healthcare applications and promoting data exchange between different healthcare systems. As the FHIR standard is based on modern API-driven approaches, making it more accessible to mobile and web developers. However, interacting with FHIR APIs can still be challenging especially when it comes to querying data using natural language.

Introducing the FHIR - AI and OpenAPI Chain application, a solution that allows users to interact with FHIR APIs using natural language queries.

Jupyter Notebook is an interactive environment consisting of cells that allow executing code in a great number of different markup and programming languages.

To do this Jupyter has to connect to an appropriate kernel. There was no ObjectScript Kernel, that is why I decided to create one.

You can try it out here.

Here's a sneak peek of the results:

Jupyter Kernels 101

There are several ways to create a Jupyter Kernel. I decided to make a Python wrapper kernel.

We have to create a subclass of ipykernel.kernelbase.

BPL from 10,000 feet

BPL stands for Business Process Language.
This is an XML format for describing complex information orchestration interactions between systems.
InterSystems Integration engine has for two decades, provided a visual designer to build, configure, and maintain, BPL using a graphical interface.
Think of it like drawing a process flow diagram that can be compiled and deployed.

An example: Make a cup of tea

BPL components are added to Integration productions like any other built-in or custom business component.

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:

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.

Hello everyone, I’m a French student that just arrived in Prague for an academical exchange for my fifth year of engineering school and here is my participation in the interop contest.

I hadn’t much time to code since I was moving from France to Prague and I’m participating alone, so I decided to make a project that’s more like a template rather than an application.

I wanted to participate since my field (Data Science and AI) is not often linked with sustainability and the contest was a way for me to express myself in this important subject that is sustainability and Environnement.

Why I've decided to write this

In my last article I've talked about returning values with Python. But returning them is simple, what can make it harder is what I'm going to talk about today: where the value is treated.
 

Python object in IRIS

Following the example of the last aricle, we have the method:

Class python.returnTest [ Abstract ]
{

ClassMethod returnSomething(pValue... As %String) As %Integer [ Language = python ]
{
	return pValue
}

}

Then, we'll have as a return a Python object, that IRIS interprets as  the class %SYS.

Introduction

Since version 2019.2, InterSystems IRIS has provided their Native API for Python as a high-performance data access method. The Native API allows you to directly interact with the native IRIS data structure.

Hi Community,

I have installed python from https://www.python.org/downloads/

and the installed path of this application is my local C:\Users\data\AppData\Local\Programs\Python

and i am trying to run C:\InterSystems\IRIS_SANDBOX\bin>irispip install  in command prompt and getting the below error 

'pip' is not recognized as an internal or external command,
operable program or batch file

is there anything else i am missing here please add

Are you curious about how to run Python scripts directly in your InterSystems IRIS or Caché terminal? 🤔 Good news it's easy! 😆 IRIS supports Embedded Python, allowing you to use Python interactively within its terminal environment. 

How to access the Python Shell?

To launch the Python shell from the IRIS terminal, simply run the following command:

do ##class(%SYS.Python).Shell()

This opens an interactive Python shell inside the IRIS terminal. From here, you can write and run Python code just as you would in a normal Python environment.

This is the first article of a series diving into visualization tools and analysis of time series data. Obviously we are most interested in looking at performance related data we can gather from the Caché family of products. However, as we'll see down the road, we are absolutely not limited to that. For now we are exploring python and the libraries/tools available within that ecosystem.

The series is closely tying into Murray's excellent series about Caché performance and monitoring (see here) and more specifically this article.

Globals as a Graph Data Structure in Python

How to use the IRIS Native API + Python to see globals as a Graph Network Chart.

Iris Globals

Reading the documentation these topics are related to globals:

• A global consists of a set of nodes (in some cases, only one node), identified by subscripts.
• Each node can contain a value.
• ObjectScript includes functions to iterate through the nodes of a global and quickly access values.
• A global is automatically stored in the database. When you assign a value to a node of a global variable, the data is written immediately to the database.

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!

After running many tests to kick the tires calling Python from COS (which worked fine) in any directory,  I encountered problems when trying to access Python libraries like Numpy from any OTHER namespace.   I saw some other posts about this but the resolution seems unclear.   When I run the test program method numpytest below in %SYS it works just fine.  If i run the Python method in any other namespace I get: 

PITT>do ##class(test.python).numpytest()
DO ##CLASS(test.python).

Samba is the standard for file services interoperability across Linux, Unix, DOS, Windows, OS/2 and other OS. Since 1992, Samba has provided secure, stable and fast file services for all clients (OS and programs) using the SMB/CIFS protocol. Network administrators have used SAMBA to create shared network folders to allow company employees to create, edit and view corporate files as if they were on their computers locally, when these files are physically located on a network file server. It is possible to create a network folder in Linux and see it as a shared folder in Windows, for example.

With the advent of Embedded Python, a myriad of use cases are now possible from within IRIS directly using Python libraries for more complex operations. One such operation is the use of natural language processing tools such as textual similarity comparison.

Setting up Embedded Python to Use the Sentence Transformers Library

Note: For this article, I will be using a Linux system with IRIS installed.

Learn how to design scalable, autonomous AI agents that combine reasoning, vector search, and tool integration using LangGraph.

Too Long; Didn't Read

• AI Agents are proactive systems that combine memory, context, and initiative to automate tasks beyond simple chatbots.
• LangGraph is a framework that enables us to build complex AI workflows, utilizing nodes (tasks) and edges (connections) with built-in state management.

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.

In this GitHub we gather information from a csv, use a DataTransformation to make it into a FHIR object and then, save that information to a FHIR server all that using only Python.

The objective is to show how easy it is to manipulate data into the output we want, here a FHIR Bundle, in the IRIS full Python framework.

1. Fhir-orga-dt

• 1. Fhir-orga-dt
• 2. Prerequisites
• 3. Installation
  • 3.1. Installation for development
  • 3.2. Management Portal and VSCode
  • 3.3. Having the folder open inside the container
• 4. FHIR server
• 5. Walkthrough
  • 5.1. Messages and objects
  • 5.2. Business Service
  • 5.3.

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.

If a picture is worth a thousand words, what's a video worth? Certainly more than typing a post.

Please check out my "Coding talks" on InterSystems Developers YouTube:

1. Analysing InterSystems IRIS System Performance with Yape. Part 1: Installing Yape

Running Yape in a container.

2. Yape Container SQLite iostat InterSystems

Extracting and plotting pButtons data including timeframes and iostat.

Description

This is a template for a FastApi 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-fastapi-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/fastapi/.

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.