This could also be very useful when you would like to configure your Ensemble production to start automatically on UNIX OS boot. It can be done in two steps: 1. Put "ccontrol start <INSTANCE NAME>" in a script that would run at OS start up; 2. Configure the production to start automatically upon Ensemble instance start up through the Management Portal -> Ensemble -> Manage -> Auto-Start Production.
Are there any use cases where message bodies are required to be kept while message headers can be purged?
Yes that is a viable approach.
In Ensemble documentation we have this piece to reference:
http://docs.intersystems.com/latest/csp/docbook/DocBook.UI.Page.cls?KEY…
Hi Sansa,
This is something you might want to contact InterSystems Worldwide Response Center with. To contact them regarding this issue, you could either log into the WRC app and create a new issue, or email support@intersystems.com with a brief description of your question, or call at +1 617-621-0700. A support advisor will be available to investigate how the business service is customized and why doesn't it receive an acknowledgement.
Thank you.
Gigi was advised to work with a Sales Engineer on a custom Business Process.
The ObjectScript code looks convincing but is wrong..
We don't have a method Parse() in the EnsLib.HL7.Message class, instead we use ImportFromString(). The DocType should be 2.4:ORU_R01 or similar with message category and doctype combined, and set with PokeDocType() method.
Further, we don't have a FHIR.Resource.Observation package and cannot get value from the HL7 message directly using "src.MSH.GetSendingApplication()". There are more issues like this..
ChatGPT still has a long way to go and a lot to learn..