#Open Exchange

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.   
The rating reflects the experience of the reviewer with the status found at the time of review.   
It is kind of a snapshot and might have changed meanwhile.   
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.    
Some were accepted and merged, and some were just ignored.     
So if you did a major change and expect a changed review just let me know.

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.

Hi folks,

I have published a new package on OEX.

In short, it is a string datatype that support various configuration options and flexibility.

Business Case

1. You have some library classes and other reusable structures that you use across systems.
2. You have a "multi-tenant" environment where one code base is shared amongst tenants, which each have their own namespaces configured.
   1. Specific rules and business processes are stored in that tenant's namespace.
   2. The core class structures are the same.

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.

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.   
The rating reflects the experience of the reviewer with the status found at the time of review.   
It is kind of a snapshot and might have changed meanwhile.   
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.    
Some were accepted and merged, and some were just ignored.     
So if you did a major change and expect a changed review just let me know.

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.   
The rating reflects the experience of the reviewer with the status found at the time of review.   
It is kind of a snapshot and might have changed meanwhile.   
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.    
Some were accepted and merged, and some were just ignored.     
So if you did a major change and expect a changed review just let me know.

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.   
The rating reflects the experience of the reviewer with the status found at the time of review.   
It is kind of a snapshot and might have changed meanwhile.   
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.    
Some were accepted and merged, and some were just ignored.     
So if you made a major change and expect a changed review just let me know.

I've been running my review collections on OpenExchange now for more than 3 years.
I explained the principle I apply in a past article. 
These reviews are the first step of the quality check in OEX.

My personal Credo
My expectation of OEX  (expressed in extreme) is to see it rather as
a collection of jewels, than just a flea market.

I start this discussion encouraged by @Evgeny Shvarov in his recent comment 

The quality of Open Exchange is very important, of course! 
And we have a set of features and processes are intended to understand 
and improve the average quality of projects.

In my recent post Quality of Open Exchange packages, I  tried to raise attention on
Pull Requests and Issues (on GitHub).
I could count the replies on 1 hand. Special Thanks to the French Community!
I see the role of a Pull Request as a proposal to fix a problem in the submitted package.

• If you agree you Merge it 
• If you disagree you Close it

Both actions signal to the creator of the PR that you got the message.
Doing Nothing, leaving it Pending is not just an unfriendly act to the creator but
also to anyone.of the community who wants to consume the repo. He is just left in the lurge.

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.   
The rating reflects the experience of the reviewer with the status found at the time of review.   
It is kind of a snapshot and might have changed meanwhile.   
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.    
Some were accepted and merged, and some were just ignored.     
So if you made a major change and expect a changed review just let me know.

Why to use it

This app offers an easy interface to analyze storage:

• Filter by database (namespace), global name, used size, or allocated size;
• View a sum of the used and allocated sizes for the filters applied;
• Export the table to JSON, CSV, or XML.

How to use it

Follow the instructions on the README file from the GitHub repository, and configure the settings to connect to your instance.

How to adapt it to your needs

Since it was built with Python and Django, you can easily add specific analysis methods in the api/methods.py and use the views on views.py to display them.

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.

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.

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

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.   
The rating reflects the experience of the reviewer with the status found at the time of review.   
It is kind of a snapshot and might have changed meanwhile.   
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.    
Some were accepted and merged, and some were just ignored.     
So if you made a major change and expect a changed review just let me know.

We continue with the series of articles related to the QuinielaML application. In this article we are going to cover how to prepare the raw data that we have captured using the Embedded Python functionality.

Welcome everybody!

Hi Community,

In my previous article, we learned topics listed below:

1. What is Docker?
2. Some of the Docker benefits
3. How does Docker work?
4. Docker Image
5. Docker Container
6. Docker Image repository
7. InterSystems's Docker image repository
8. Docker Installation
9. Docker Basic Commands
10. Running IRIS community edition by using Docker
11. Docker Desktop GUI

In this article, we will cover the following topics:

1. Use of Docker Compose file (a YAML file)
2. Use of Docker file (employed to build a Docker image)
3. Use of Docker volume

So let's begin.

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 !

InterSystems has also released IRIS as containerized deployments. This post is to demonstrate how InterSystems IRIS and applications those rely on IRIS a backend can be packaged into an image and be run in other machines in containers and how simple it is to do that.

A container runs image/s which have all the necessary executables, binary code, libraries, and configuration files. And the images can be moved from one machine to another, and  an images repository like Docker Hub can simplify that process.

I have used an application from Open Exchange for this demo.

Demo video: https://www.loom.

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!

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.   
The rating reflects the experience of the reviewer with the status found at the time of review.   
It is kind of a snapshot and might have changed meanwhile.   
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.    
Some were accepted and merged, and some were just ignored.     
So if you did a major change and expect a changed review just let me know.

Hi Everyone, 

Join the next online Developer Roundtable on July 27 to discuss how to optimize your dev practices. We'll have 2 short demos from our experts, time for Q&A and open discussion.

Invited experts: 
@Timothy Leavitt, Development Manager, InterSystems
@Alex Woodhead, Senior Systems Developer, InterSystems
@Evgeny Shvarov, Senior Manager of Developer and Startup Programs, InterSystems

UPDATE: see the recording below or watch on YouTube

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.

Hey everyone, 

Here we are again. New year, new contest, new project, old reasons.

Triple Slash is in the house!

SQLBuilder is a flexible and powerful SQL query string builder for InterSystems IRIS,

With SQLBuilder you have nice and clean object oriented methods, instead of having to use concatenation and substituition to generate dynamic queries.

A Dynamic SQL without SQLBuilder

A Dynamic SQL with SQLBuilder

If you like it, don't forget to vote in the IRIS Programming Contest