Ensemble supports Data Transformation Language (DTL) for describing data transformations. DTL is an XML language. Ensemble provides wizards and graphical tools for creating, editing, and testing DTL transformations. A data transformation is a Caché class like the following. If you prefer you can use Studio to edit the class definition directly and bypass the wizards and graphical tools.
One of our development Ensemble instances is misbehaving. We suspect we'll just need to reinstall it - which would be a hassle. Before we do, we wanted to check we weren't missing some kind of easy fix. The symptoms we are seeing:
I usually receive complains from our customers about the BPL and DTL web pages automatic refreshes, it's a common problem among newbies users but for veteran developers too, they forget to save the changes regularly and automatically the web page is reloaded, losing all the work done.
Maybe an autosave would fix this problem that produces a deep feeling of hate and resentment against InterSystems technology among our customers. I've added an idea in our portal, so feel free to vote it!
For a particular problem we were trying to parse a relatively large *.csv file with a recordmap. We are doing this from a BPL where we start with a REST call to acquire the file. This file needs a slight transformation which we tried in a DTL. However DTL's seem to be incapable of parsing larger files.
Within a DTL is it possible to access and update the Message Header properties of an EnsLib.HL7.Message?
Currently we have multiple EMR Services for each environment sending to 1 Business Process to Normalize the data, then it is sent to another Business Process to route the data.
I want to add a couple of properties to a custom Transform class to give the user the ability to edit its properties directly in the Business Process visual editor. It can be easily done with other Production components, but I can't find in the documentation how to do the same with my Transform. Is it possible?
And another question is about how to use the 'aux' parameter of the DataTransform.Transform method if my component is non-visual?
I'm having trouble defining the mapping needed to take the very large base64 string in OBX:5.5, and map it to an XML virtual document property that supports Stream.GlobalCharacter. I know from within the DTL you have to use custom code to manage the segment due to its size.
I am looking for a way to serialize fhir content received via interoperability adapter into it´s corresponding ISC model class (e.g. HS.FHIR.DTL.vR4.Model.Resource.DiagnosticReport) for later use. In my opinion the outline to accomplish this would be something like
1) Receive the FHIR data 2) Get quick stream containing the JSON data 3) Examine if bundle or single ressource 4) For resource serialize to coressponding model class (HS.FHIR.DTL.vR4.Model.Resource.*) 5) further use of newly created object of type HS.FHIR.DTL.vR4.Model.Resource.*
I'm working on a project where I retrieve RawHL7 message(ORU R01 2.3.1) content from a database in a BPL. I've created a context object of type Enslib.HL7.Message, and I need to populate it with the contents from the RawHL7 message so that I can use this context object as source for my DTL transformation.
Does anyone have suggestions on the best approach to achieve this? I'm looking for guidance on how to efficiently transfer the data from the RawHL7 message to the context object.
Using Interoperability, I can't figure out how to create separate XML's files from a CSV-file using the GUI-features Record Maps/Complex Record Mapper -> Data Transformations. I'm familiar with reading/writing the files using File Service/Operation, but don't understand the processing-steps.
The preferred method by my colleagues is to do this without any Objectscript or Embedded Python coding, but if this can only be done by some coding that's fine as well.
I have a problem attempting to store a base 64 encode stream into the OBX:5 field of a HL7 message, by using the StoreFieldStreamBase64 method.
I'm using a transformer to input the contents of a pdf within a stream container (Ens.StreamContainer). The output is a HL7 message (EnsLib.HL7.Message 2.5:ORU_R01).
The transformer is being used in a business process.
This is the code used in the transformer to encode the stream to base 64:
I'm having a similar problem trying to get PRD(1) into PV1:ReferingDoctor and PRD(2) into PV1:ConsultingDoc
Running the subtransform will populate referring doctor for the first PRD, and then the second running will delete the PV1, make a new one with only the consulting doctor populated.
Hi, I'd like to ask if it is possible to use an arbitrary JSON as a DTL source. Can the IRIS DTL editor parse JSON of arbitrary structure and display it as a tree?
In this article we are going to see how we can use the WhatsApp instant messaging service from InterSystems IRIS to send messages to different recipients. To do this we must create and configure an account in Meta and configure a Business Operation to send the messages we want.
Let's look at each of these steps in more detail.
Setting up an account on Meta
This is possibly the most complicated point of the entire configuration, since we will have to configure a series of accounts until we can have the messaging functionality.
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