Hi noble devs!

Just building a simple frontend->JSON->IRIS backend story, and figured that IRIS while importing via %JSON.Adaptor wants JSON fields to match property names, meaning even should match the case. Like:

{ name: "John", 

surname: "Doe"}

will have issues while saving the dynamic object to a class Sample.Person with:

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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")
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I'm running the image "containers.intersystems.com/intersystems/irishealth-community:2025.1" as a container on my local Docker desktop.

Now I want to set up an ODBC SQL connection, but I don't know how to do it.

I have tried various ways without success. Like building my own image (see "Dockerfile" description below).

I have also added ODBCINI variable in my docker-compse (see "Docker-compose.yml" description below).

Anyone done this before?

I'd really appreciate some help.

Thanks.

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To transfer data between production components I actively use messages of type Ens.StreamContainer class and its descendants. In many cases the content of the message content is not visualised (the 'Body' tab contains a table with a list of selected message properties but the 'Contents' tab is empty). Response messages are never visualised, and request messages are visualised with a fifty-fifty probability. What do I need to do to ensure that messages are always visualised?

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Hi everyone,

I'm working with JavaScript in InterSystems IRIS, specifically in CSP pages. One issue I'm running into during development is that the browser keeps loading the cached version of my JavaScript files, even after I’ve made changes or recompiled the code.

I would have to clear my cache files or browser history for it to reload and work.

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I am receiving the garbled text due to incorrect encoding or decoding. I tried to use the $zconvert function to convert it into the normal text but failed to do that. Can anybody suggest what I have to use to convert that into normal text?

Example: Garbled text that I am getting is "canââ¬â¢t , theyââ¬â¢re".

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The below code is not working. its unable retrieve Record count and merge files

Class Util

{

ClassMethod zPyRecordCount(inputfile) As %Integer [ Language = python ]

{

import pandas as pd

import iris

import io

try:

df = pd.read_csv(inputfile, sep='|')

recordcount=len(df.index)

sys.stdout.write(len(df.index))

return recordcount

except Exception as e:

return 0

}

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Hello,

I want to upload a "custom" metric in prometheus (queue).

For now, in version 2022, I have the impression that we cannot add multiple labels and yet the basic metrics know how to do it.

ex: standard metric

iris_interop_messages_per_sec{cluster="1", host="xxxx", id="API", instance="xxxx:80", job="SAM", production="xxxx"}

my current example: I would like to be able to at least add the production, just to have the source of the measurement.

my_iris_queue{cluster="1", id="xxxx", instance="xxx", job="SAM"}

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I was watching this video about IRIS and GitHub and all is clear to me how it works and how code from each branch is getting deployed to each IRIS environment but the process to deploy is manual. My question is how can I, if possible, to utilize gti-source-control from GitLab CICD pipeline to deploy code automaticaly after PR approval instead going to the Git UI?

Thanks

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Hello,

I'm trying to create a custom IRIS4Health docker container utilizing CPF Merge but getting an error below. The merge file has been copied to the container within the docker file. Anybody know what would cause this error?

ERROR: failed to solve: process "/bin/sh -c iris start IRIS && iris merge IRIS mergefile.cpf" did not complete successfully: exit code: 133

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For those that use IRIS for Health, HealthShare, and or Health Connect...

As Health Applications are moving to the Cloud, how have you handled communication from the Application to your instances via HTTPS?

Trying to figure out the best path on designing the proper workflow to allow these messages to be allowed to be eventually sent to our EMR to post to the patient chart.

We are very wary of opening a connection from the internet to our instance of Health Connect.

Thanks

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