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I have a process that receives a EnsLib.DICOM.Document, and then attempts to extract a PDF from the dataset to save to a folder.

When I use the GetValueAt method to get the pdf from the document (from the EncapsulatedDocument section), the status returned is 1, but I'm only getting the first 32648 characters(?) from the PDF.

I thought it was a string max length problem, but long strings are enabled and the final PDF is tiny (94kb) so it's not hitting the long string.

Is there some form of limit to using the GetValueAt method that I'm missing?

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Hi There ,

We are trying to do a small POC trying to integrate NHS Careconnect with Ensemble/Healthconnect. Does anyone have implemented this before. It would be good that you provide some suggestions or any sample implementation. It would be good to get suggestions any interesting use cases

within NHS England for the POC.

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Hi Community!

We are pleased to invite you to the upcoming webinar "Machine Learning Toolkit (Python, ObjectScript, Interoperability, Analytics) for InterSystems IRIS" on 26th of March at 10:00 (Moscow time)!

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Question
· Jan 19, 2019
Node.js Iris retrieve

Hi,

I'm using node.js to access to Iris.

Considering this globals:

^Customer(1, "Address", 1)="London"

^Customer(1, "Address", 2)="UK"

^Customer(1, "Name")="Jane K. White"

^Customer(2, "Address", 1)="Reigate"

^Customer(2, "Address", 2)="UK"

^Customer(2, "Name")="Peter R. Black"

^Customer(3, "Address", 1)="London"

^Customer(3, "Address", 2)="UK"

^Customer(3, "Name")="Paul J. Green"

I retrieve all customers with:

mydata.retrieve( { global: "Customer" },

"array",

function(error, result) {

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I have iKnow domain of forum posts, their full text is an iKnow data, and each post also has a number of views as a metadata field.

I want to get a sum of views by concept. Let's say I have a concept called "TESTEST" and there are 10 sources that have this concept. Each source has some views. I want to get views total - impact of this concept so to say.

What's the best iKnow architecture for this use case?

So far I got this:

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Question
· Aug 24, 2017
Error on SQL update service

I have a simple SQL service that does a simple select from an SQL database. After the select, I do an update to set the ProcessedFlag to "Y" for yes, so my next pass doesn't select records already processed. The service works fine, except when it's done I get the error below, anybody know what is causing this error?

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In the previous article, we saw different modules in IRIS AI Studio and how it could help explore GenAI capabilities out of IRIS DB seamlessly, even for a non-technical stakeholder. In this article, we will deep dive into "Connectors" module, the one that enables users to seamlessly load data from local or cloud sources (AWS S3, Airtable, Azure Blob) into IRIS DB as vector embeddings, by also configuring embedding settings like model and dimensions.

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Article
· Apr 26, 2024 3m read
Geo Vector Search #2

Technical surprises using VECTORs
>>> UPDATED

Building my tech. example provided me with a bunch of findings htt I want to share.
The first vectors I touched appeared with text analysis and more than 200 dimensions.
I have to confess that I feel well with Einstein's 4 dimensional world.
7 to 15 dimensions populating the String Theory are somewhat across the border.
But 200 and more is definitely far beyond my mathematical horizon.

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I found the thread that discusses object mapping, in particular mapping a common global among more than one namespace. The example that is given is a simple one when it's ^global(sub1, ^global(sub2, etc. However I'm having trouble getting this to compile/work when the global has a fixed subscript amongst variable ones.

I have this global in namespaces LAB and ARK in the following format:

^CB(1,sub1)=....

^CB(1,sub2)=...

^CB(1,sub3)=...

Here is what I have for this. In it's current state it throws tons of errors:

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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?

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Article
· May 23, 2023 1m read
Production settings

When developing interoperability productions, it might be useful to have settings outside of a Business Host. The primary reason is when you need a setting to affect several different Business Hosts and want to guarantee that the value is the same. While System Default Settings can be used to propagate settings for Business Hosts, they can be changed by overriding the value on a BH level (although the advantage of Business Host settings set via SDS is that they don't need custom code which our current approach requires).
Another reason is when you need to affect non-setting parts of the Business Host configuration (PoolSize, Enabled, etc.)

We will be adding an env setting to a production.

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Question
· Mar 25, 2019
Error in ebXML SOAP Service

We're moving an Ensemble production from Ensemble 2010 to Ensemble 2017 and in it we have a ebXML SOAP Service. It extends EnsLib.ebXML.Service.SOAPService and just contains one method with a method keyword of SoapAction = ebXML.

We're receiving a SOAP message with a SOAP action = urn:nhs:names:services:pdsquery/QUPA_IN000011UK02 and this is getting rejected with the error message ERROR #6207: Unexpected SOAPACTION value: urn:nhs:names:services:pdsquery/QUPA_IN000011UK02

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Hi Everyone,

Please welcome the new Global Summit 2019 video on InterSystems Developers YouTube Channel:

⏯ Using IoT in InterSystems IRIS for Health

https://www.youtube.com/embed/CCyWcHi1wII
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Hi Community!

Two more new videos are already on InterSystems Developers YouTube Channel:

1. Machine Learning - How it Works - Part 1

https://www.youtube.com/embed/47M8FWB5C5Y
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

2. Machine Learning - How it Works - Part 2

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