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Hello,

When setting up a new web app in iris (iris is in a container) iris complains that a WSGI framework is not installed. I have installed python into the container as well as both flask and django via the python virtual environment (see second screenshot) and the python language server is running

Is this the wrong way to install flask? How do I get the container version to recoginize that flask is installed?

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We are using a DTL transformation to take HL7 and transform into custom XML (XML is a virtual document, held in an EnsLib.EDI.XML.Document object). The schema specifying the format of the XML says one element should occur no more than 24 times (maxOccurs="24" in the XSD schema). However, the transformation to produce one such element always produces 24 elements, all but the last one blank, when tested stand-alone.

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Hello and welcome to the December 2024 Developer Community YouTube Recap.
InterSystems Global Summit
How to Reach 99.99% Uptime on the Cloud
By Regilo Souza, Eduard Lebedyuk
By Scott Abrutyn, Cloud Security Architect, InterSystems
By Stefan Wittmann, Product Manager, InterSystems
"Code to Care" videos
Use cases in generative AI
By Don Woodlock, Head of Global Healthcare Solutions, InterSystems
AI Governance in IT solutions
By Don Woodlock, Head of Global Healthcare Solutions, InterSystems
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Good morning dear community,

This is like my first post in this community. Let's see how this turns out.
I have a question about the Intersystems Kubernetes Operator and the deployment of the webgateways.

I am responsible for the hosting and deployment of the apps. For the future we are planning to host our application in a kubernetes cluster. I am using the IKO for this.
I am using webgateways, for external access as separate pods. And sidecar containers for internal access, like the management portal.

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Background

Embeddings is a new IRIS feature empowering the latest capability in AI semantic search.
This presents as a new kind of column on a table that holds vector data.
The embedding column supports search for another existing column of the same table.
As records are added or updated to the table, the supported column is passed through an AI model and the semantic signature is returned.
This signature information is stored as the vector for future search comparison.

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

Quick wins with InterSystems IRIS Vector DB

https://www.youtube.com/embed/KlA55wF2uWQ
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Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

FHIR Lessons Learned From the Field @ Global Summit 2024

https://www.youtube.com/embed/ojNDhiWdfeI
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Hey Community!

We're happy to share the next video in the series dedicated to Gen AI on our InterSystems Developers YouTube:

Is your data ready for AI?

https://www.youtube.com/embed/vKPUhiSYbQk
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Hi everyone,


I'm currently testing out IRIS 2024.3 for a new project, and it's been running smooth for the most part. However, I noticed that when running some heavier analytical queries, the memory usage spikes more than I expected, even when result sets aren’t that large.

I’ve gone through the basics (buffer sizes, query plans, etc.), but I’m wondering if there are any new tweaks or recommended settings in 2024.3 specifically for managing memory better during these peak loads.

Anyone else run into something similar or have tips to fine-tune this?

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Hi,

I would like to convert an html zen page to PDF using wkhtmltopdf so I've installed it in Ubuntu and the command wkhtmltopdf but because I've my IRIS installed in a container that command is not recognized and we can't install wkhtmltopdf in the container so is there a way to be able to run this command?

Thanks

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Announcement
· Dec 7, 2024
Reviews on Open Exchange - #48

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.

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