#API

Hello Community,

Is there any built in methods available to generate the both HTTP message format(request/response) from %Net.HttpRequest and it's response.

Thanks!

Last Chapter: Creating a REST client to get Tracks from Spotify REST API - Part3 Get some data (e.g. Artists)

Git link: https://github.com/ecelg/InterSystems-IRIS-as-a-Spotify-REST-client

OK we create a method to get data and lets try to get some Tracks 😁

Last Chapter: Creating a REST client to get Tracks from Spotify REST API - Part1 Check out token

Git link: https://github.com/ecelg/InterSystems-IRIS-as-a-Spotify-REST-client

Ok... Now we can check out a token but it will be expired in 3600 seconds.

There are 2 questions come up🤔

1. How to save this token????🙄

REST API (Representational State Transfer Application Programming Interface) is a standardized way for web applications to communicate with each other using HTTP methods like GET, POST, PUT, DELETE, etc. It's designed around resources, which can be anything from a user to a file.

IAM - InterSystems API Manager is a great tool for monitoring your traffic. If you are trying to use it in your Kubernetes cluster you may have tried doing a deployment similar to this one:

I have an API set up in IRIS which is secured using an IRIS authentication service, so there is a bearer token being passed down in the request header.

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:

Hi, I am considering making my own swagger json generation based on my rest api implementing the %CSP.REST class.

Before I begin, I was wondering if there is already some kind of support, perhaps in IRIS already, or some tools that might help me.

I have been using embedded python for more than 2 years now on a daily basis.
May be it's time to share some feedback about this journey.

Why write this feedback? Because, I guess, I'm like most of the people here, an ObjectScript developer, and I think that the community would benefit from this feedback and could better understand the pros & cons of chosing embedded python for developing stuff in IRIS. And also avoid some pitfalls.

• Feedback : Using embedded python daily for 2 years
• Introduction
• Starting with Python
  • Python is not ObjectScript
    • Pep8
    • Modules
    • Dunders
  • Conclusion
• Embedded Python
  • What is Embedded Python ?
  • How to use Embedded Python ?
  • How I use Embedded Python
    • Use Python libraries and code as they were ObjectScript classes
      • With the language tag
      • Without the language tag
      • Conclusion
    • Use a python first approach
      • Example : iris-fhir-python-strategy
      • Remarks
      • Where to find the code
      • How to implement a Strategy
      • Implementation of InteractionsStrategy
      • Implementation of Interactions
      • Interactions in Python
      • Implementation of the abstract python class
      • Too long, do a summary

Description

This is a template for an Django application that can be deployed in IRIS as an native Web Application.

In this article we are going to see how we can use the WhatsApp instant messaging service from InterSystems IRIS to send messages to different recipients. To do this we must create and configure an account in Meta and configure a Business Operation to send the messages we want.

Let's look at each of these steps in more detail.

Setting up an account on Meta

This is possibly the most complicated point of the entire configuration, since we will have to configure a series of accounts until we can have the messaging functionality.

Have written several worthless Conky's in my day, and this one is no exception, but it was fun.

Continuing with the series of articles on voice file management, we are going to see how we can convert text into audio and receive the file with the chosen voice.
We will also explore how a service from OpenAI can help us analyze a text and determine the mood expressed in it.
Let's analyze how you can create your own voice file and how it can “read” your feelings.

Good Afternoon,

I'm working on a API documentation that wil be interactive, it's based on a BS class on Ensemble.

The objective on making the documentation is simplify the undestanding of the operation for those who are not acquainted with the Ensemble environment.

My problem is, when using Postman to test a operation the indentation appears as such: