#InterSystems IRIS for Health

Hi there,

My purpose is to encrypt a communication using JWT tokens. I am developing on IRIS and my purpose is to generate a JWT token that will run on an older version of Cache (so I have to use functions that are compatible with the older version, Cache).

I wrote this code in IRIS:

s username = "user-test123"
set st = ##class(%OAuth2.Utils).TimeInSeconds($ztimestamp,0)
set et = ##class(%OAuth2.Utils).TimeInSeconds($ztimestamp, 60*15)

Works?

InterSystems FAQ rubric

To compile class routines including the mapped modifier, specify the compiler modifier "/mapped=1" or "/mapped". For example, do the following:

[Example 1] Get the class list and compile

Hi Community,

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Duration: July 15 - August 4, 2024

Prize pool: $14,000

With the introduction of vector data types and the Vector Search functionality in IRIS, a whole world of possibilities opens up for the development of applications and an example of these applications is the one that I recently saw published in a public contest by the Ministry of Health from Valencia in which they requested a tool to assist in ICD-10 coding using AI models.

How could we implement an application similar to the one requested? Let's see what we would need:

Hi,

I'm making a request to an API that works perfectly with Postman, you can see it here:

The URL is https://testcds.esriguide.org/v2/session/3189981 where the last part is the ID's session I want to get back.

When I try to make the same request in IRIS I always get a "Bad request" error.

I'm creating the request which all the information needed (or at least that I know):

I am creating a new HL7 DTL item. I put the from as HL7 and the to as XML, hence, those Ens classes were loaded into the new DTL. However, on the map screen, both the left and the right column only show 'source' and 'target', and no other fields. I pictured that when I included these classes, both columns would pull the corresponding 'schema' to show all the to/from fields, but, they did not. Is that right?

Hello,

First of all thanks for your help, and thank you for your time.

We have the following task:

To generate by hand the Ens.Request with the properties and inner Data Schemes which represent this XML, in HealthShare, by hand; the XML is this one:

After performing Concurrent External Backup and restarting the instance, if I want to perform an incremental backup of Concurrent External Backup again.

Should I redo the following steps?

1.  Do CLRINC^DBACK("QUIET")

2.  Set x=$$BACKUP^DBACK("","E","Dirty external backup - incrementals must be applied.","","","")

3. Set x=$$BACKUP^DBACK("","I","Nightly","test.bck","N","bck.log","QUIET","N","Y")

I found myself in the not-so-comfortable situation of working with a Linux system on which someone had accidentally disabled user access to the Linux shell. HealthConnect was running, servicing hundreds of interfaces. To resolve the access issue, though, we needed to bring the host down for the application of a fix.

Without the shell, the iris command is not available to control the instance, so we were faced with the potential of shutting down the server ungracefully. We wanted to avoid that if possible ...

Our client getting sometimes this error and we need to change port number on JavaGateway process to continue,

Failed to start the Gateway server: ERROR #5023: Remote Gateway Error: Communication failure on port: 5000
> ERROR #5001: External Language Server: invalid ping response

Can you tell as why it is happenning? intersystems runtime is under linux.

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Best,

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TECKpert

We have installed IRIS on a separate server that we access remotely and copied all code and data to it so we can test IRIS before we do the move. We develop directly on the server.

Hi Community,
In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):

• Step1: Install required libraries

• Step2: Create patterns and responses file

• Step3: Train the Model

• Step4: Create ChatBot Application based on the trained model

So Let us start.