This is probably not the right place, but I don't know who I can reach out to... I am trying to configure an Apache/Web Gateway to our instance of IRIS so we are no longer using the built-in PWS. Can anyone point me in the right direction to configure Apache/Web Gateway to repoint

http://<server name>:52773/... to the https://<server name>/...

gateway so our users will not notice? How do I do this in Apache, do I need to modify httpd.conf or the ssl.conf file? What is the correct syntax...

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InterSystems FAQ rubric

ObjectScript allows you to pass any number of arguments using arrays. Do it by adding ... after the argument name.

An example is as follows. In the example statement, the argument information is set in a global variable (a variable stored in the database) so that it can be easily checked after the method is executed.

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We have a yummy dataset with recipes written by multiple Reddit users, however most of the information is free text as the title or description of a post. Let's find out how we can very easily load the dataset, extract some features and analyze it using features from OpenAI large language model within Embedded Python and the Langchain framework.

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My original ZAUTHENTICATE.mac to use Delegated sign on did not include GetCredentials(), however I am being told it probably should have it so I am eliminate an error I am seeing when trying to troubleshoot the ZAUTHENTICATION. I am trying to add the GetCredentials() from the documentation to the existing ZAUTHENTICATE.mac but I am getting an error

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Hello,

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:

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In today's data landscape, businesses encounter a number of different challenges. One of them is to do analytics on top of unified and harmonized data layer available to all the consumers. A layer that can deliver the same answers to the same questions irrelative to the dialect or tool being used.

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As you have seen in the latest community publications, InterSystems IRIS has included since version 2024.1 the possibility of including vector data types in its database and based on this type of data vector searches have been implemented. Well, these new features reminded me of the article I published a while ago that was based on facial recognition using Embedded Python.

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InterSystems announces its first preview, as part of the developer preview program for the 2024.1 release. This release will include InterSystems IRIS®, InterSystems IRIS® for HealthTM, and HealthShare® Health Connect.

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I have an existing Python script that opens a child session using the pexpect library. But currently all it does is send hard-coded commands to the Cache process and expect a hard-coded response back in order to continue in the script.

I would like to run a Cache routine from the script, pass in a parameter, and wait for a response that will be different every time (a date, in this case). So the call would be something like D $$Tag^Routine(parameter) and wait for the routine to complete and return the response.

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Article
· Feb 24 2m read
The bewitched line terminator

I want to address the nasty problems about reading a flat text in ASCII, UTF*
explicitly excluding HTML, EBCDIC, and other encoding.
According to Wikipedia there are at least 8 variations of control characters.

  • CR+LF is typical for Windows
  • LF is typical for the Linux/UNIX world
  • CR is Mac's favorite

As you can deduct from the names the inspiration comes from mechanical typewriters.

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Hi Developers,

We invite you to join InterSystems at the European Healthcare Hackathon in Prague Nov 24-26!

You can participate online or come to Prague in-person! Registration closes soon - don't hesitate to register.

InterSystems will introduce the "Innovate with FHIR" challenge with $$$ prizes for the best use of InterSystems FHIR services.

It will be a weekend full of innovation - looking forward to meeting you there! 🤩

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Introduction

In the modern digital age, securing applications, particularly those handling sensitive health data, is paramount. The confidentiality, integrity, and availability of such data are crucial, necessitating robust security measures. Two-factor authentication (2FA) stands out as a critical enhancement in safeguarding access, adding an extra layer of security beyond just passwords. Recognizing the significance of this feature, InterSystems provides built-in support for 2FA in its database solutions. This tutorial aims to guide you through the process of configuring two-factor authentication in your InterSystems environment, ensuring that your data remains secure and accessible only to authorized users.

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Suppose you have an application that allows users to write posts and comment on them. (Wait... that sounds familiar...)

For a given user, you want to be able to list all of the published posts with which that user has interacted - that is, either authored or commented on. How do you make this as fast as possible?

Here's what our %Persistent class definitions might look like as a starting point (storage definitions are important, but omitted for brevity):

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Context

I have created a Business Operation (BO) named "Sender" that sends HTTP messages to an endpoint (for testing, I'm using Postman's Mock Servers).

Goal: I want to set up an automatic timeout mechanism so that if I don't receive a response from the server within 18 seconds, an alert is generated and the message is resent. This process should be repeated every 18 seconds, for a maximum of 90 seconds. If no response is received within 90 seconds, I would like to generate an error message. On the other hand, if a response is received, I want to stop the resending process and complete the operation by indicating successful reception.

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Hello everyone!
Sorry for the vague title! But I wonder what would be the best way to easily import a large XML-file into a production, modifying it by deleting elements and nodes depending on what values are in those nodes/elements and later creating whole new XML-file from that?

I have gone through this: Using Caché XML Tools | Caché & Ensemble 2018.1.4 – 2018.1.8 (intersystems.com)

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In part I of this article, we have already learned more about HL7, its messages, structure, segments, and fields. In this part II, we will show you how to transform proprietary/custom data into HL7 using IRIS for Health. For our sample, we used the data generated by the SYNTHEA bulk data generation project (https://synthea.mitre.org/downloads). So, we will show you how to convert 1000 patients from a CSV file to HL7 v2, using the Interoperability features of IRIS for Health.

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