Contestant

Unlike the movie mentioned in the image (for those who don't know, Matrix, 1999), the choice between Dynamic SQL and Embedded SQL is not a choice between truth and fantasy, but it is still a decision to be made. Below, I will try to make your choice easier.

If your need is interactions between the client and the application (and consequently the database), Dynamic SQL may be more appropriate, as it "adapts" very easily to these query changes. However, this dynamism has a cost: with each new query, it is remodeled, which can have a higher cost to execute. Below is a simple example of a Python code snippet.

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Contestant
Contestant

Using Flask, REST API, and IAM with InterSystems IRIS

Part 2 – Flask App

Flask is a web development microframework written in Python. It is known for being simple, flexible, and enabling rapid application development.

Installing Flask is very simple. Once you have python installed correctly on your operating system, we need to install the flask library with the pip command. For REST API consumption, it is advisable to use the requests library. The following link provides a guide to installing flask: https://flask.palletsprojects.com/en/stable/installation/

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Using Flask, REST API, and IAM with InterSystems IRIS

Part 1 - REST API

Hello

In this article we will see the implementation of a REST API to perform the maintenance of a CRUD, using Flask and IAM.

In this first part of the article we will see the construction and publication of the REST API in Iris.

First, let's create our persistent class to store the data. To do this, we go to Iris and create our class:

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Using SQL Gateway with Python, Vector Search, and Interoperability in InterSystems Iris

Part 3 – REST and Interoperability

Now that we have finished the configuration of the SQL Gateway and we have been able to access the data from the external database via python, and we have set up our vectorized base, we can perform some queries. For this in this part of the article we will use an application developed with CSP, HTML and Javascript that will access an integration in Iris, which then performs the search for data similarity, sends it to LLM and finally returns the generated SQL. The CSP page calls an API in Iris that receives the data to be used in the query, calling the integration. For more information about REST in the Iris see the documentation available at https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls...

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Using SQL Gateway with Python, Vector Search, and Interoperability in InterSystems Iris

Part 2 – Python and Vector Search

Since we have access to the data from our external table, we can use everything that Iris has to offer with this data. Let's, for example, read the data from our external table and generate a polynomial regression with it.

For more information on using python with Iris, see the documentation available at https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls?KEY=AFL_epython

Let's now consume the data from the external database to calculate a polynomial regression. To do this, we will use a python code to run a SQL that will read our MySQL table and turn it into a pandas dataframe:

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Using SQL Gateway with Python, Vector Search, and Interoperability in InterSystems Iris

Part 1 - SQL Gateway

Hello

In this article we will look at the use of SQL Gateway in Iris. SQL Gateway allows Iris to have access to tables from other (external) database via ODBC or JDBC. We can access Tables or Views from various databases, such as Oracle, PostgreSQL, SQL Server, MySQL and others.

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Contestant

From the previous article, we identified some issues when working with JSON in SQL.

IRIS offers a dedicated feature for handling JSON documents, called DocDB.

InterSystems IRIS® data platform DocDB is a facility for storing and retrieving database data. It is compatible with, but separate from, traditional SQL table and field (class and property) data storage and retrieval. It is based on JSON (JavaScript Object Notation) which provides support for web-based data exchange. InterSystems IRIS provides support for developing DocDB databases and applications in REST and in ObjectScript, as well as providing SQL support for creating or querying DocDB data.

By its nature, InterSystems IRIS Document Database is a schema-less data structure. That means that each document has its own structure, which may differ from other documents in the same database. This has several benefits when compared with SQL, which requires a pre-defined data structure.

The word “document” is used here as a specific industry-wide technical term, as a dynamic data storage structure. “Document”, as used in DocDB, should not be confused with a text document, or with documentation.

Let's explore how DocDB can help store JSON in the database and integrate it into projects that rely solely on xDBC protocols.

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Article
· Dec 13, 2024 5m read
SharePoint/ SPO API with intersystems

As part of the Open Exchange competition Salford Royal (Dean White and Mark O'Reilly) developed a REST API for sharepoint as a template that works but can also be a starting point to your own Rest Applications

Prerequisites

This is using the v1 REST sharepoint API you need a tennant id, client id, client secret and tennant name

Setup

Configure an OAuth server

The code in the middle is the tennant ID

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Prefer not to read? Check out the demo video I created:

https://www.youtube.com/embed/-OwOAHC5b3s
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The latest "Bringing Ideas to Reality" InterSystems competition saw me trawling through the ideas portal for UI problems to have a go at.

https://www.youtube.com/embed/zw51X1JQhQ0
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image

Hi Community,
In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):

  • Step1: Install required libraries

  • Step2: Create patterns and responses file

  • Step3: Train the Model

  • Step4: Create ChatBot Application based on the trained model

So Let us start.

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Current triage systems often rely on the experience of admitting physicians. This can lead to delays in care for some patients, especially when faced with inexperienced residents or non-critical symptoms. Additionally, it can result in unnecessary hospital admissions, straining resources and increasing healthcare costs.

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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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Artificial Intelligence (AI) is getting a lot of attention lately because it can change many areas of our lives. Better computer power and more data have helped AI do amazing things, like improving medical tests and making self-driving cars. AI can also help businesses make better decisions and work more efficiently, which is why it's becoming more popular and widely used. How can one integrate the OpenAI API calls into an existing IRIS Interoperability application?

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Article
· Nov 27, 2023 4m read
What about DMN?

A few months ago, I faced a significant challenge: streamlining the handling of business logic in our application. My goal was to extract the business logic from the code and hand it over to analysts. Dealing with a multitude of rules could easily result in a code littered with countless "if" statements, especially if the coder lacked an understanding of cyclomatic complexity. Such code becomes a source of pain for those working with it—difficult to write, test, and develop.

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Article
· Feb 6, 2023 2m read
Introducing DX Jetpack for VS Code

Strap on this jetpack to boost your developer experience in Visual Studio Code.

DX Jetpack for VS Code was my entry for the 2023 Developer Tools Contest, where it achieved 2nd place in the Experts vote and 5th place in the Community vote. It is an extension pack for VS Code, bundling three entirely new extensions created by me, plus a couple that we at George James Software published previously.

The new extensions are:

If you're reluctant to install DX Jetpack right away, why not try it using a dev container? In the dev container is an InterSystems IRIS Community environment augmented with InterSystems Package Manager (IPM) and the isc-codetidy package.

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How many times do we find ourselves rebuilding, copy-pasting, adapting, Business Operations that make calls to REST services, and only adapting one or another part of the final code. This is annoying a lot. To resolve this our inconvenience, I present to you Interopway REST, a set of classes (a micro framework) that allows us to just add Business Operation to Production and use it.

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Article
· Feb 7, 2023 9m read
OpenAPI Suite - Part 2

Hi Community,

In the first part, we describe all packages, used libraries and REST services.

Now, I would like to add some details about converter and validator services.

By default, OpenAPI-Suite sends an HTTP request to converter.swagger.io if the specification version is less than 3.0 and another HTTP request to validator.swagger.io to simplify the structure of the specification document.

Although the usage of online utilities is convenient, in some cases it could be better to have our own instance of the converter and validator. For example, if OpenAPI-Suite is provided on a server in an organisation for ObjectScript developers, it may be preferable to avoid requests to external services (privacy, avoid request rate limits).

Just run:

docker run -d -p 8085:8080 --name swagger-converter swaggerapi/swagger-converter:latest
docker run -d -p 8086:8080 --name swagger-validator-v2 swaggerapi/swagger-validator-v2:latest

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Article
· Feb 5, 2023 2m read
COS Url Shortener

Hi Community!

I want to share with you mi first Open Exchange application.

It's a tool to made our developments easier. It's a micro service in a IRIS docker that help us in our new features giving us a way to add short links in our SMS, Email campaigns and for links of the different stores for our apps.

It's very easy to use it.

Simply clone this repo:

https://github.com/daniel-aguilar-garcia/cos-url-shortener.git

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