#Embedded Python

With ECP we have the option to have a collection of Frontend instances
All Frontend servers typically have a common Master in the background
Concentrating data on the Master server is the primary goal.

As a side effect, this applies also to Classes, Routines, .. anything stored in Globals.
This is probably not the most efficient setup. But rather common anyhow.

Is embedded Python code also stored in Globals?

What is the recommended solution for a similar installation?

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:

Earlier this year I announced availability of a VS Code extension for coding in ObjectScript, Embedded Python or SQL using the notebook paradigm popularized by Jupyter. Today I published a maintenance release to correct a "getting started" problem.

Here's a video of the installation steps from the extension's README:

Why not try it for yourself?

Hi Developers!

Here is the bonus results for the applications in InterSystems Python Programming Contest 2023:

Nowadays so much noise around LLM, AI, and so on. Vector databases are kind of a part of it, and already many different realizations for the support in the world outside of IRIS.

Why Vector?

• Similarity Search: Vectors allow for efficient similarity search, such as finding the most similar items or documents in a dataset. Traditional relational databases are designed for exact match searches, which are not suitable for tasks like image or text similarity search.
• Flexibility: Vector representations are versatile and can be derived from various data types, such as text (via embeddings like Word2Vec, BERT), images (via deep learning models), and more.
• Cross-Modal Searches: Vectors enable searching across different data modalities. For instance, given a vector representation of an image, one can search for similar images or related texts in a multimodal database.

And many other reasons.

So, for this pyhon contest, I decided to try to implement this support. And unfortunately I did not manage to finish it in time, below I'll explain why.

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

Overview

The online documentation contains a reference Defining and Using Class Queries -

Customizing Stored Procedures with ObjectScript directly has been useful to access NoSQL storage and external messaging via integration, to present output in tabular format.

While starting the development with IRIS we have a distribution kit or in case of Docker we are pulling the docker image and then often we need to initialize it and setup the development environment. We might need to create databases, namespaces, turn on/off some services, create resources. We often need to import code and data into IRIS instance and run some custom code to init the solution.

And there plenty of templates on Open Exchange where we suggest how to init REST, Interoperability, Analytics, Fullstack and many other templates with ObjectScript. What if we want to use only Python to setup the development environment for Embedded Python project with IRIS?

So, the recent release of Embedded Python template is the pure python boilerplate that could be a starting point for developers that build python projects with no need to use and learn ObjectScript. This article expresses how this template could be used to initialize IRIS. Here we go!

We continue with the series of articles based on the QuinielaML application.

In today's article I will describe how to work with the Embedded Python functionality available in InterSystems products.

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!

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,

We're doing our first babysteps with embedded Python and IRIS with an interoperability solution. We want to convert a CSV file to an Excel xlt file.

As service we've got a EnsLib.File.PassthroughService which picks up a csv file

As operation we've got a EnsLib.File.PassthroughOperation which writes the Excel file.

In the middle:

We've created an Business Process with an %Stream.GlobalCharacter in the Request and a %Stream.GlobalCharacter in the Response.

Problem

In a fast-paced clinical environment, where quick decision-making is crucial, the lack of streamlined document storage and access systems poses several obstacles. While storage solutions for documents exist (e.g, FHIR), accessing and effectively searching for specific patient data within those documents meaningfully can be a significant challenge.

Has anyone come across a good using Embedded Python to convert a Python List object to an IRIS %List object?

My use case is I want to open an SQL entry with an Objectscript class method, then pass some information from that row into a separate Python class method which will then create a Python List object, then have the Python class method return that list back to the Objectscript class method in such a way that the Python List can be converted to an IRIS %List object for me to then use in the Objectscript code.