#Python

How can IRIS productions be deployed more quickly and with greater peace of mind?

The aim of interoperability productions is to enable you to connect systems in order to transform and route messages between them. To connect systems, you develop, configure, deploy and manage productions that integrate several software systems.

That’s what the InterSystems documentation on its reference website tells us, but what do you actually have to do to deploy a production ?

Productions can be composed to connect external systems to the IRIS Data Platform.

Hello,

First of all thanks for your time, thoughts, teaching and help:

We wonder how could we get the metrics from http://[Ip]:[Port]/api/monitor/metrics and use them in Kibana to chart statistics.

We would like to ask you how do you use the api monitor metrics, and as a second question, how would you suggest to utilize them in a third party software as Kibana to chart them.
 

We have thought to do the following:

1. Retrieve Metrics from Intersystems HealthShare API: Use a tool or script to make requests to the Intersystems HealthShare REST API and obtain the list of metrics.

New to coding in InterSystems IRIS® data platform? Try this brand-new learning program to get the basics, and see how to develop an application with InterSystems ObjectScript alongside your language of choice: Java, .NET, Python, or Node.js.

Why should you connect Flask to InterSystems IRIS?

    The first thing that comes to mind when we think about combining Flask with IRIS is a portal to interact with your clients and partners. A good example would be a website for patients to access their clinical exams. Of course, this case would require a whole new layer of security, which we did not cover in our last article. However, we can effortlessly add it with Werkzeug, for instance.

Index

Part 1

• Introducing Flask: a quick review of the Flask Docs, where you will find all the information you need for this tutorial;
• Connecting to InterSystems IRIS: a detailed step-by-step of how to use SQLAlchemy to connect to an IRIS instance;

Part 2

• A discussion about this kind of implementation: why we should use it and situations where it is applicable.
• The OpenExchange Application: if you are not interested in the development of this example, you can go directly to this section and learn how to use it as a template for your flask-iris application.

This article is a simple quick starter (what I did was) with SqlDatabaseChain.

Hope this ignites some interest.

Many thanks to:

sqlalchemy-iris author @Dmitry Konnov Maslennikov

Your project made this possible today.

The article script uses openai API so caution not to share table information and records externally, that you didn't intend to.

A local model could be plugged in , instead if needed.

Creating a new virtual environment

mkdir chainsql

cd chainsql

python -m venv .

scripts\activate

pip install langchain

pip install wget

# Need to connect to IRIS so installing a fresh python driver
python -c "import wget;url='https://raw.githubusercontent.com/intersystems-community/iris-driver-distribution/main/DB-API/intersystems_irispython-3.2.0-py3-none-any.whl';wget.download(url)"

# And for more magic
pip install sqlalchemy-iris

pip install openai

set OPENAI_API_KEY=[ Your OpenAI Key ]

python

import os

# Get environment variables
db_host = os.getenv('DB_HOST')
db_port = os.getenv('DB_PORT')
db_namespace = os.getenv('DB_NAMESPACE')
db_username = os.getenv('DB_USERNAME')
db_password = os.getenv('DB_PASSWORD')

# Create a database connection
conn = irisnative.createConnection(db_host, db_port, db_namespace, db_username, db_password)

# Create an IRIS instance from this connection
iris_native = irisnative.createIris(conn)

status = iris_native.classMethodValue('%SYSTEM.OBJ', 'Load', 'Production.cls', 'ck')

if status == 1:
    print("The Production.cls file was compiled successfully.

For the upcoming Python contest, I would like to make a small demo, on how to create a simple REST application using Python, which will use IRIS as a database. Using this tools

• FastAPI framework, high performance, easy to learn, fast to code, ready for production
• SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL
• Alembic is a lightweight database migration tool for usage with the SQLAlchemy Database Toolkit for Python.
• Uvicorn is an ASGI web server implementation for Python.

Could you please help anyone how to import Python package in %SYSTEM package and to use python methods to write in object script class?

I used the following link to install the Python but I can't see the Python package in %SYSTEM package and my program throwing the Class Does not exist error?

https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cl…

Please help on this..

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.

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.

Try a hands-on exercise in the language of your choice to get familiar with the multi-model architecture of InterSystems IRIS!

These recently updated exercises are available in ObjectScript, Python, Java, and .NET.

Hello Community,

Let us invite you to watch the recording of the webinar: 

👉 Developing an AI Powered IRIS Application, in Python 👈

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:

Yet another example of applying LangChain to give some inspiration for new community Grand Prix contest.

I was initially looking to build a chain to achieve dynamic search of html of documentation site, but in the end it was simpler to borg the static PDFs instead.

Create new virtual environment

mkdir chainpdf

cd chainpdf

python -m venv .

scripts\activate 

pip install openai
pip install langchain
pip install wget
pip install lancedb
pip install tiktoken
pip install pypdf

set OPENAI_API_KEY=[ Your OpenAI Key ]

python

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.

Hello to all developers and IRIS users. I am submitting to the competition a project for an alternative IRIS management portal that I have long wanted to create. The project was implemented on the Django framework and the intersystems_irispython-3.2.0-py3-none-any.whl library using native IRIS. The Django project is integrated with the telegram messenger and can be launched from a docker container or directly. To run it, you need to create a .env file in the project root for which you can use the .env_example example.

DJANGO_DEBUG=True
DATABASE_URL=sqlite:///db.sqlite3
TELEGRAM_TOKEN=<PASTE YOUR TELEGRAM TOKEN HERE>
ISC_Username=_system
ISC_Password=SYS
ISC_Namespace=USER
DJANGO_SUPERUSER_PASSWORD=demo

Enhanced Password Management: Edit Passwords Seamlessly

In the ever-evolving landscape of digital security, robust password management tools have become indispensable. Our password management application, designed to simplify and secure your online life, now comes with an enhanced feature – the ability to edit passwords with ease.

Why is this feature a game-changer?

1. Flexibility: Life is dynamic, and so are our online accounts. With the new edit password feature, you have the flexibility to modify your saved passwords whenever you need to.

native-api-py-demo

This is a demo of IRIS Native API for Python, which uses Python to call the Object Script method and flow the message in production. Python obtains the message after flow and the message in global, and uses ZPM Package deployment.

Firstly, we need to install the Native API package

Enter on the command line

Hi Developers!

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

Hi Community
In this article, I will introduce my application IRIS-FlaskBlog.
IRIS-FlaskBlog Application is a real-world application that leverages the functionality of Flask web framework, SQLALchemy ORM, and InterSystems IRIS. The application contains user registration and authentication with the help of Flask-Login python library, a responsive user interface to create and edit posts.

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.

Introduction

In some of the last few articles I've talked about types between IRIS and Python, and it is clear that it's not that easy to access objects from one side at another. 

Fortunately, work has already been done to create SQLAlchemy-iris (follow the link to see it on Open Exchange), which makes everything much easier for Python to access IRIS' objects, and I'm going to show the starters for that.

Thank you @Dmitry Maslennikov !

I'm using the PEX framework to create non-polling Business Services in Python. Below is the code I've used to instantiate my Python Business Service from the application I have written:

conn = iris.connect(...)
IRIS = iris.createIRIS(conn)
#...#"Demo.PEX.FlaskPEXService"

The Service works fine, messages are received properly by the target Business Process as defined by my PEX service, however, every time I run Director.CreateBusinessService(), the created job terminates 'unexpectedly' once I close the IRIS connection.

Introducing Django

Django is a web framework designed to develop servers and APIs, and deal with databases in a fast, scalable, and secure way. To assure that, Django provides tools not only to create the skeleton of the code but also to update it without worries. It allows developers to see changes almost live, correct mistakes with the debug tool, and treat security with ease.

To understand how Django works, let’s take a look at the image: