Hello, I want to show a fellow DC member how to convert JSON file into HL7 message. I personally do not work with HL7. I set up a production with EnsLib.File.PassthroughService. It passes Ens.StreamContainer to BPL process. I call a DTL to transform StreamContainer to HL7 message. I run into an error:

ERROR <Ens>ErrBPTerminated: Terminating BP JSON2HL7 # due to error: ERROR #5035: General exception Name 'Parsing error' Code '3' Data ''
> ERROR #5035: General exception Name 'Parsing error' Code '3' Data ''

The code is in this GitHub repo:

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Make sure you have git installed.

I created a git folder inside the IRIS mgr directory. I right clicked the git folder and chose Git Bash Here from the context menu.

git clone https://github.com/oliverwilms/csp-log-tutorial.git

Clone my csp-log-tutorial GitHub repo if you like to try it out for yourself.

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I copied a 5 MB messages.log file to AWS where I have iris-log-viewer app deployed. I ran the test to see how it takes in IRIS code to import the lines into a persistent table:

IRISAPP>set m5mb="/home/irisowner/irisdev/messages.old_20221231.log"


IRISAPP>do ##class(otw.log.irislogreader).Test1(m5mb)
Test1 begins at 02/05/2023 12:49:30
Test1 ends at 02/05/2023 12:49:34
Test1 execution time: 3.500789

select count(*) from otw_log.Log


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Has anybody tried to write custom code to empty out queues when Interoperability shuts down? We run IRIS in Kubernetes cluster and we have compute pods scaling up and down. We have Message Bank operation to keep all messages in one place. We want to see all messages in Message Bank.

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Oliver Wilms · Dec 1, 2022 1m read
My First FHIR app

I participated in InterSystems Women’s Health FHIR contest, because I loved the challenge to learn a new-to-me technology. I wanted to develop an app that receives data from a mobile device like my Fitbit or a Smart Watch. I did not get access to such data except when I downloaded a spreadsheet (CSV file) showing my daily steps and sleep data. I saw in iris-fhir-template it imported some patient data to a FHIR server.

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My team works on implementing an Interoperability solution utilizing InterSystems Kubernetes Operator on Red Hat OpenShift container platform.

We are trying to determine how many messages we can process in any given time. We have a Feeder app running in 10 containers sending 50k messages each to a load balancer all beginning at the same time.

Messages are received via HTTPS protocol by webgateway containers.

Interoperability production runs in compute pods with persistent data, journals, and WIJ volumes.

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