Article
· Aug 19, 2024 4m read
Accessing Azure Blob Storage

Accessing an Azure cloud storage to upload/download blobs is quite easy using the designated %Net.Cloud.Storage.Client class API methods, or using the EnsLib.CloudStorage.* inbound/outbound adaptors.

Note that you'll need to have the %JavaServer External Language Server up and running to use the cloud storage API or adaptors, since they both use the PEX framework using the Java Server.

Here is a quick summary:

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InterSystems FAQ rubric

Temporary globals stored in the IRISTEMP/CACHETEMP databases are used when a process does not need to store data indefinitely, but requires the powerful performance of globals. The IRISTEMP/CACHETEMP databases are not journaled, so using temporary globals does not create journal files.

The system uses the IRISTEMP/CACHETEMP databases for temporary storage and are available to users for the same.

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A nice feature that we recently added to version 2.12.6 of the VS Code ObjectScript extension is controlled by this new setting:

objectscript.serverSourceControl.respectEditableStatus

When set true in JSON, or checked in the Settings Editor, a server-side file will be read-only if the source control class for the namespace reports that it is not editable.

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InterSystems FAQ rubric

If you do not specify the option to remove the mirror attribute of the mirror database when deleting the mirror configuration, the database cannot be restored to a normal state and will be mounted read-only the next time it is mounted. To restore the database to a read-write state, you must remove the mirror attribute using the system routine ^MIRROR.

The procedure is as follows (execute in the %SYS namespace):

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When building a bundle from legacy data, I (and others) wanted to be able to control whether or not the resources were generated with a FHIR Request Method of PUT instead of the hard coded POST. I have extended the two classes responsible for transforming SDA to FHIR in an Interoperability Production to accomodate a setting that lets the user control the Request Method.

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In the previous article we presented the d[IA]gnosis application developed to support the coding of diagnoses in ICD-10. In this article we will see how InterSystems IRIS for Health provides us with the necessary tools for the generation of vectors from the ICD-10 code list using a pre-trained language model, its storage and the subsequent search for similarities on all these generated vectors.

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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:

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An effective source control solution allows organizations to manage complex codebases, facilitate seamless collaboration within development teams, and streamline deployment processes.

Sonic Healthcare, a leading provider of pathology, radiology, general practice, and corporate medical services, has significantly enhanced visibility and control over its complex environment by implementing Deltanji source control. The tight integration Deltanji provides with InterSystems IRIS and IRIS for Health has been central in achieving these improvements.

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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 ...

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Article
· Jul 8, 2024 2m read
Configuring IRIS autostart on Linux

For practical reasons, it may be desirable that after a Linux server restart, the IRIS instance is automatically started.

Below you will find the steps to follow to automate the startup of IRIS during a reboot of the Linux server, via systemd :

1. Create an iris.service file in /etc/systemd/system/iris.service containing the following information

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Article
· Jul 4, 2024 1m read
How to find your imported XSD file

Have you ever imported an XML schema from an XSD file? You might want to look at the original file again sometime later, but forgot where you put it.

Do not worry, that information is being kept as part of the import process.

The whole imported XSD schema is being kept in the ^EnsEDI.XML.Schema global. That global holds all the imported XSDs in your namespace. The first subscript is the name of the schema that you see in the portal.

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Article
· Jun 13, 2024 4m read
How to check the size of your data

InterSystems FAQ rubric

Data for InterSystems products (table row data, object instance data) is stored in global variables.
The data size of each global can be obtained by clicking the properties of the global you want to view from the Management Portal > System > Configuration > Local Database > Globals page, and then clicking the Calculate Size button on the Global Attributes page that appears.
To display the data sizes of globals in a namespace, you can call ^%GSIZE utility on the terminal.

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InterSystems FAQ rubric

If you want to run an OS executable file, command, or a program created within an InterSystems product when the InterSystems product starts, write the processing in the SYSTEM^%ZSTART routine. (The %ZSTART routine is created in the %SYS namespace).

Before you write any code in SYSTEM^%ZSTART, make sure that it works properly under all conditions.

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When developing a new Interoperability Production, it is quite natural that settings are initially added in the Production.

However, as soon as you want to move the Production from development to a test or staging environment, it becomes clear that some settings like HTTP Servers, IP addresses and/or ports need to be changed. In order to avoid these settings being overwritten during a redeployment later on, it is essential that you move these settings from the Production to the System Default settings.

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Data Analysis

This is the sequel to Data Collection. If you have not had a chance to go through and install that you should first do that.

What is provided here is the analysis for the collection of that data that was collected earlier.

In much the same way as was done in that repository you will need to import the xml that makes up this repository.

Starting at the topmost level there is a task:

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Graphical Display of Tables

Here we will document how you can get the results of your Data Collection to be displayed graphically. The output of your project will look like this:

image

Note that I am working on a local machine. If you are doing this on a server then be aware to use the correct IP address.

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Article
· May 30, 2024 1m read
How to avoid ODBC query timeouts

InterSystems FAQ rubric

To disable the timeout, set the query timeout to disabled in the DSN settings:

Windows Control Panel > Administrative Tools > Data Sources (ODBC) > System DSN configuration

If you check Disable query timeout, the timeout will be disabled.

If you want to change it on the application side, you can set it at the ODBC API level.

Set the SQL_ATTR_QUERY_TIMEOUT attribute when calling the ODBC SQLSetStmtAttr function before connecting to the data source.

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ChatIRIS Health Coach, a GPT-4 based agent that leverages the Health Belief Model as a psychological framework to craft empathetic replies. This article elaborates on the backend architecture and its components, focusing on how InterSystems IRIS supports the system's functionality.

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In the previous article, we saw in detail about Connectors, that let user upload their file and get it converted into embeddings and store it to IRIS DB. In this article, we'll explore different retrieval options that IRIS AI Studio offers - Semantic Search, Chat, Recommender and Similarity.

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