Interoperability on Python (IoP) is a proof-of-concept project designed to showcase the power of the InterSystems IRIS Interoperability Framework when combined with a Python-first approach.IoP leverages Embedded Python (a feature of InterSystems IRIS) to enable developers to write interoperability components in Python, which can seamlessly integrate with the robust IRIS platform. This guide has been crafted for beginners and provides a comprehensive introduction to IoP, its setup, and practical steps to create your first interoperability component. By the end of this article, you will get a clear understanding of how to use IoP to build scalable, Python-based interoperability solutions.

Hi Community,
In this article, I will introduce my application iris-mlm-explainer

This web application connects to InterSystems Cloud SQL to create, train, validate, and predict ML models, make Predictions and display a dashboard of all the trained models with an explanation of the workings of a fitted machine learning model. The dashboard provides interactive plots on model performance, feature importances, feature contributions to individual predictions, partial dependence plots, SHAP (interaction) values, visualization of individual decision trees, etc.

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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?

I am writing a Python tool to query our cache instances for various information. I have set up the connection without issue:

import intersys.pythonbind3 as pyb  

conn     = pyb.connection()
conn.connect_now(.....)
    
db      = pyb.database(conn)
qry     = pyb.query(db)
obj     = pyb.object(db)

I wanted to make the call:

execRes = qry.prepare_class("SYS.Database",'FreeSpace')

But fetching fails because of data mismatches ( as I understand from other posts) and my testing bears out this type of failure.

Instead I opted to attempt a query:

execRes =

Hi

I am working with a Caché system with a Python binding and big datasets in health care. I am using the Python library Pandas and Jupyter notebook for data manipulation and often special modules for different projects, including different versions of Python. To keep the environments separated, I have been testing Docker, but I am at loss on how to install the Python binding. Has anyone any experience with this? Or better yet, a Docker image that has the binding installed?

I am also considering that Docker might not be the suitable for this situation and I am grateful for any thoughts on this.

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

It seems like yesterday when we did a small project in Java to test the performance of IRIS, PostgreSQL and MySQL (you can review the article we wrote back in June at the end of this article). If you remember, IRIS was superior to PostgreSQL and clearly superior to MySQL in insertions, with no big difference in queries.

Well, shortly after @Dmitry Maslennikov told me "Why don't you test it from a Python project?" Well, here is the Python version of the tests we previously performed using the JDBC connections.

I have done Python - Cache binding setup following the guide from http://docs.intersystems.com/latest/csp/docbook/DocBook.UI.Page.cls?KEY…. I have also run test.py from sample3 folder and it able to run and complete successfully.

However, when I try to run the same test.py code via $zf, it gives error with exit code 1.

I've tried running help("intersys.pythonbind3") via $zf and also running from Cache terminal as follows:

1. $zf(-1,"C:\Python36\python <path>/script.py")
2. ! C:\Python36\python <path>/script.py

which gives me the following output:

problem in intersys.

My usecase is sorting and removing duplicates and getting count from a file that has json messages as a individual rows.

I am currently planning to use pandas for this purpose as its really fast.

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?

1. Fhir-client-python

This is a simple fhir client in python to practice with fhir resources and CRUD requests to a fhir server.
Note that for the most part auto-completion is activated, that's the main reason to use fhir.resources.

GitHub

• 1. Fhir-client-python
• 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. Part 1
  • 5.2. Part 2
  • 5.3. Part 3
  • 5.4. Part 4
  • 5.5. Conclusion of the walkthrough
• 6. How it works
  • 6.1. The imports
  • 6.2. Creation of the client
  • 6.3.

Hi Developers,

Please welcome the new video specially recorded by InterSystems Product Manager @Bob Kuszewski for the 3rd InterSystems Online Programming Contest on InterSystems IRIS Native API:

⏯ Using the IRIS Native API GitHub Template

What’s the contest about?

In the last year, InterSystems added and expanded Native APIs for Java, .NET, Python, and Node.js. The Native API provides high speed access to globals, the ability to instantiate and use ObjectScript objects, and fine-grained control over transactions.

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?

OCR DEMO

This is a demo of the OCR functionality of the pero-ocr library.

It used in the iris application server in python.

Demo

This is an example of input data :

This is the result of the OCR :

In this example you have the following information:

• The text is in the TextEquiv tag
• The confidence is in the conf attribute of the TextEquiv tag
• The coordinates of the text are in the Coords tag

<PcGts xmlns="http://schema.primaresearch.org/PAGE/gts/pagecontent/2019-07-15" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://schema.primaresearch.

In the previous article. Practices of class members and their execution within embedded Python. We will now turn our attention to the process of switching namespaces, accessing global variables , traversing and routine executions within embedded Python.

Before proceeding to the other functions. let us briefly review the execute function within the iris package. This function is exceptionally beneficial for executing the arbitrary ObjectScript functions and class invocation.

Some time ago I introduced a new driver for Django for IRIS. Now, let's see how to use Django with IRIS in practice.

All,

I've asked my teammate to open a WRC on this issue, but wanted to open the discussion to see if maybe we aren't the first people to see this issue.

The code we are deploying is a COS object with some Python methods. The code works fine locally on the developer's machine. However, when the business process runs in the server environment, we see the following when COS code attempts to call a [Language = python] method:

In component Event Log:
ERROR <Ens>ErrException: <OBJECT DISPATCH>ValidateSheet+9 ^ClientPortal.Process.FinalClientAdjustmentApprovalProcess.

At the recent virtual conference I saw the demonstration on being able to run Python within ObjectScript and run ObjectScript within Python thanks to a feature called Language Bridge.  Is this available now? If so, am I able to install it?  I am currently running HealthShare 2020.1.  I have a little bit of experience using Irisnative with Python but was intrigued with the more seamless-looking features offered by the Language Bridge.

Thanks for any insight.

Marlin Mixon

I am demonstrating a use case of how we can create an IRIS Interoperability Production for special use in an external language. InterSystems IRIS, within Interoperability has a framework called Production Extension (PEX), using which we can create productions and program them as per their purpose using external languages like Java, Python etc, and also develop custom inbound and outbound adapters to communicate with other applications. Here in this demo, I will demonstrate a PEX framework-based production created by @Guillaume.

I've enabled the CallIn service (unauthenticated), but I'm still getting 'ImportError: IrisStart failed: IRIS_ACCESSDENIED (-15)'

Any clues?

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 iop 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'm looking into finding ways to  fetch data from cache efficiently and work with it with python - specially pandas.

i tried the following but i'm wondering if this is the most efficient way?

to run the stored procedure as %ResultSet inside cache in a classmethod and serialize the data to JSON

and then call that class method from python

 Class User.RegObj Extends %RegisteredObject
{ ClassMethod runAlpha() As %Library.DynamicAbstractObject
{
set QHi=##class(%DynamicAbstractObject).%FromJSON("{}") set rs=##class(%ResultSet).%New("User.Person:alpha")
set pr=rs.Execute("","") set idx=0 
while rs.

I am sending an httpRequest from ObjectScript to a python server.   I am not receiving a response in OS
 
OS config On the client side

// Create an HTTP request object
    Set httpRequest = ##class(%Net.HttpRequest).%New()
    
    // Set the server URL
    Set httpRequest.Server = "http://127.0.0.1:8080"
    
    // Set content type to JSON
    Set httpRequest.ContentType = "application/json"

    // Clear any existing entity body"{""name"": ""Lowell Buschert"", ""dob"": ""1970-12-09"", ""address"": ""XXXXX""}"
    do httpRequest.EntityBody.Clear()
    //Set httpRequest.

Hi everyone! I was using the InterSystems Native API for Python and following the documentation I tried to use this method (https://irisdocs.intersystems.com/irislatest/csp/docbook/Python-Native/irisnative.iris.html#irisnative.iris.getAPIVersion after a while I realize that this method doesn't exist. Looking at the object I can see the method: irisnative.iris.getClientVersion which doesn't exist in documentation (and probably does the same thing)

I'm using the irisnative-1.0.0-cp34-abi3-macosx_10_13_x86_64.macosx_10_14_x86_64.whl

How can we fix the documentation (or the class method name)?

In my Python script I import intersys2.pythonbind3 to create the connection and define a database object as db

I execute the method 

     res = self.db.run_class_method("%Library.GlobalEdit", "GetGlobalSize",[<db>, allocated,used])

This executes correctly as I loop through a list of databases.

Upon success I see that the return arg of "res" contains the string "status(0,)" which I interpret as successful. This is verified by the returned values of allocated and used being accurate.

I am writing this post primarily to gather an informal consensus on how developers are using Python in conjunction with IRIS, so please respond to the poll at the end of this article! In the body of the article, I'll give some background on each choice provided, as well as the advantages for each, but feel free to skim over it and just respond to the poll.

As most of you are probably aware, Python is currently the most popular programming language among developers around the world - and for good reason.

A customer recently asked if IRIS supported OpenTelemetry as they where seeking to measure the time that IRIS implemented SOAP Services take to complete.

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.

Apache Spark has rapidly become one of the most exciting technologies for big data analytics and machine learning. Spark is a general data processing engine created for use in clustered computing environments. Its heart is the Resilient Distributed Dataset (RDD) which represents a distributed, fault tolerant, collection of data that can be operated on in parallel across the nodes of a cluster. Spark is implemented using a combination of Java and Scala and so comes as a library that can run on any JVM.