We know you're eagerly anticipating this moment for an entire year (and we've even got messages asking if it is happening 😉)... Well, the moment is now here!
Join the Advent of Code 2023 with InterSystems and engage in our ObjectScript contest for a chance to win fabulous prizes!
We are excited to announce a new part of InterSystems documentation that makes it easier to upgrade InterSystems IRIS® data platform, InterSystems IRIS® for Health™, or HealthShare® Health Connect. The Upgrade Impact Checklist at https://docs.intersystems.com/upgrade shows you all the things you need to consider – and only the things you need to consider – in an upgrade between any two versions.
GmOwl is a solution that offers an organized and engaging learning platform. It was developed to cater to the increasing need, for learning tools providing a versatile quiz environment that meets users requirements.
The main objective of GmOwl is to deliver an user experience for individuals participating in quizzes while giving administrators comprehensive control, over content and user engagement.
GmOwl uses Java EE with MVC template, and the InterSystems IRIS database is used to store data. The InterSystems JDBC Driver is used to connect to the database.
In a fast-paced digital era, effective communication is crucial. This article introduces a Java-based chat project, combining the strength of IRIS database and ChatGPT intelligence. Built on Java, it goes beyond real-time messaging, leveraging IRIS and ChatGPT for an enhanced chat experience. Also, the name of the project references the cultural classic - Star Wars.
As first announced in May, and after many presentations and robust discussions at Global Summit 2023, we are continuing with the plans to deprecate InterSystems Studio (deprecated designates a feature or technology that InterSystems no longer actively develops, and for which better options exist).
To create a user-defined error you need to prepare the XML that describes the error code and corresponding message that you want to use as a user-defined error.
This article is an overview of SQLAlchemy, so let's begin!
SQLAlchemy is the Python SQL toolkit that serves as a bridge between your Python code and the relational database system of your choice. Created by Michael Bayer, it is currently available as an open-source library under the MIT License. SQLAlchemy supports a wide range of database systems, including PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server, making it versatile and adaptable to different project requirements.
The SQLAlchemy SQL Toolkit and Object Relational Mapper from a comprehensive set of tools for working with databases and Python. It has several distinct areas of functionality which you can use individually or in various combinations. The major components are illustrated below, with component dependencies organized into layers:
You can hide the source by exporting/importing only the *.obj that is generated after compiling the source program.
The command execution example specifies EX1Sample.obj and EX2Sample.obj, which are generated by compiling EX1Sample.mac and EX2Sample.mac, as export targets and exports them to the second argument file.
After moving to another namespace, I am using the exported XML file to perform the import.
With the release of InterSystems IRIS Cloud SQL, we're getting more frequent questions about how to establish secure connections over JDBC and other driver technologies. While we have nice summary and detailed documentation on the driver technologies themselves, our documentation does not go as far to describe individual client tools, such as our personal favourite DBeaver. In this article, we'll describe the steps to create a secure connection from DBeaver to your Cloud SQL deployment.
Currently, I'm working on a project that requires highly dynamic event management. In the context of the Java programming language, my first instinct should be to opt for the "Observer Pattern", which is an approach to managing interactions between objects by establishing a notification mechanism. It allows multiple observers to react to changes in the state of a subject autonomously, promoting code flexibility and modularity. If you are not familiar with this design pattern, check out Wikipedia to find more information about it.
While it's natural and commonly used in certain programming languages as Java and C++, in ObjectScript, it's quite a different story.
In this article, I'm excited to introduce my latest application, Journal File Indexer. The development of this application is rooted in the portal idea DPI-I-270.
In short, this application lets you load and index a log file in a database.
Why?
If you've ever used the log file search function in the management portal, you may have encountered a timeout error or even a blank page. This problem usually occurs when searching a large journal file. Journal File Indexer solves this problem by considerably increasing the speed of searches once the file has been loaded into the database.
Another problem arises during the restoration process. When searching for global entries in a log file to restore old or new values, the management portal doesn't have this specific functionality. A routine must therefore be coded to achieve this. Journal File Indexer comes to the rescue, incorporating a restore function!
Why should you connect Flask to InterSystems IRIS?
The first thing that comes to mind when we think about combining Flask with IRIS is a portal to interact with your clients and partners. A good example would be a website for patients to access their clinical exams. Of course, this case would require a whole new layer of security, which we did not cover in our last article. However, we can effortlessly add it with Werkzeug, for instance.
The other day I was reflecting on the possibilities that FHIR brings us in the world of interoperability and electronic medical records and it gave me mixed feelings, let me explain, first a small introduction.
Introduction
As you well know, FHIR is based on parameterizing a series of concepts that it calls resources in JSON or XML format with the intention of covering the most common cases within the healthcare environment, relying on HTTP communications to cover CRUD and query functionalities.
InterSystems has decided to stop further development of SAM (System Alerting & Monitoring) and label it as deprecated as of today. InterSystems will continue to support existing customers using the technology, but it is no longer recommended for new deployments.
New to coding in InterSystems IRIS® data platform? Try this brand-new learning program to get the basics, and see how to develop an application with InterSystems ObjectScript alongside your language of choice: Java, .NET, Python, or Node.js.
The part II you will learn how to run any Jasper report file (jrxml file) designed on Jasper Studio from InterSystems IRIS. We will create a REST API to return a processed report on PDF format.
The jrxml file
On part I, we designed this report:
1. First of all, rename the report from Blank_A4.jrxml to sample.jrxml (Project Explorer tab > click right the file > Rename):
The motivation behind the InterLang project is rooted in the innovative integration of LangChain chatbot agents with the Fast Healthcare Interoperability Resources (FHIR) framework to revolutionize conversational social prescriptions in healthcare. This project aims to leverage the rich and standardized data available through FHIR, an emerging standard in healthcare data exchange, to inform and empower these advanced chatbot agents.
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