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#Contest

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Contest tag unites posts that are related to any coding competition taking place on InterSystems Developer Community.

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REST API with Swagger in InterSystems IRIS

Hello

The HTTP protocol allows you to obtain resources, such as HTML documents. It is the basis of any data exchange on the Web and a client-server protocol, meaning that requests are initiated by the recipient, usually a Web browser.

REST APIs take advantage of this protocol to exchange messages between client and server. This makes REST APIs fast, lightweight, and flexible. REST APIs use the HTTP verbs GET, POST, PUT, DELETE, and others to indicate the actions they want to perform.

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Hi Community,

Let's meet at the online meetup with the winners of the Vector Search, GenAI and ML Contest. It's a great opportunity to chat with the InterSystems Experts team and our contestants.

Winners' demo included!

Date & Time: Thursday, May 23, 12 pm EDT | 6 pm CEST

https://www.youtube.com/embed/QNwFw1rE6jM?si=rK7Y1_UVdvXFzEHE
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Article
· May 31, 2022 1m read
Project info chest

I think each of us has on the computer directories with photo files of relatives and friends, music albums of favorite bands and singers, as well as e-book libraries. I also have them, and I came up with the idea to implement a convenient interface for these files. You can read more about the project in the article.
And I proposed this project for the contest, maybe it will be useful to you.

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Hi developers!

We had a set of technology bonuses for the InterSystems Multi-Model contest.

And here is how projects collected it:

Project Docker zpm Key-Value SQL Object Your Model Total Bonus
zapm 2 2 2 2 2 10
iris-vaccine-tracker 2 2 2 2 2 10
qewd-jsdb-kit-iris 2 2 2 6
BeI-MultiModel 2 2 2 2 2 10
iris-image-index-demo 2 2 2 2 2 2 12
IRIS Publisher 2 2 2 2 8
iris-sftp-logs 2 2 2 2 2 10
iris-multimodel-suite 2 2 2 2 2 10
GeoDatas 2 2 2 6
HealthInfoQueryLayer 2 2 2 6

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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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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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Hi Community,

Let's meet at the online meetup with the winners of the Python Contest. It's a great opportunity to chat with the InterSystems Experts team and our contestants.

Winners' demo included!

Date & Time: Thursday, August 8, 12 pm EDT | 6 pm CEST

https://www.youtube.com/embed/lT6WGCbTMCc?si=YzF5eDpFWN5qjgpe
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Hi Community,

In this article, I will introduce my application iris-fhir-bridge

IRIS-FHIR-Bridge is a robust interoperability engine built on InterSystems IRIS for Health, designed to transform healthcare data across multiple formats into FHIR and vice versa. It leverages the InterSystems FHIR Object Model (HS.FHIRModel.R4.*) to enable smooth data standardization and exchange across modern and legacy healthcare systems.

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Hi Community,

Thank you for participating in our recent mini-contest! We received many great ideas, and we hope you enjoyed the process.

The mastermind of the winning concept will receive 5,000 points, while the astute "investors" in said concept will receive 200 points each.

The Winning Concept: Senior people loneliness

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Hey Community,

We greatly appreciate all your feedback on the InterSystems Interoperability Contest! Please take a short survey and answer a few questions to help us improve our contests.

👉 Quick survey: Interoperability Contest Survey 2022

11 Best Questions to Ask in a Restaurant Survey (and how to ask them)

Feel free to share your feedback in the comments of this post as well!

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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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Hi Developers!

Here're the technology bonuses for the InterSystems AI Programming Contest: Vector Search, GenAI and AI Agents that will give you extra points in the voting:

  • Agent AI solution - 5
  • Vector Search usage - 4
  • Embedded Python - 3
  • LLM AI or LangChain usage: Chat GPT, Bard, and others - 3
  • IntegratedML usage - 3
  • Docker container usage - 2
  • ZPM Package deployment - 2
  • Online Demo - 2
  • Implement InterSystems Community Idea - 4
  • Find a bug in Vector Search, or Integrated ML, or Embedded Python - 2
  • First Article on Developer Community - 2
  • Second Article On DC - 1
  • First Time Contribution - 3
  • Video on YouTube - 3
  • Suggest a new idea - 1

See the details below.<--break->

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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 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 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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