InterSystems IRIS versions 2022.2 and newer feature the ability to authenticate to a REST API using JSON web tokens (JWTs). This feature enhances security by limiting where and how often passwords transfer over the network in addition to setting an expiration time on access.
The goal of this article is to serve as a tutorial on how to implement a mock REST API using InterSystems IRIS and lock access to it behind JWTs.
I’m new to this community and could really use some help with creating a production in InterSystems IRIS for Health Community 2024.3. I have deployed my instance using Docker. Here’s what I’m trying to do:
Observing the avalanche of AI-driven and vibe-coding developer tools that have been appearing lately almost every month with more and more exciting dev features, I was puzzled whether it is possible to leverage it with InterSystems IRIS. At least to build a frontend. And the answer - yes! At least with the approach I followed.
Here is my recipe to prompt the UI vs InterSystems IRIS Backend:
Have the REST API on the IRIS side, which reflects some Open API (swagger) spec.
Generate the UI with any vibe-coding tool (e.g., Lovable) and point the UI to the REST API endpoint.
Profit!
Here is the result of my own exercise - a 100% prompted UI vs IRIS REST API that allows to list, create, update delete entries of a persistent class (Open Exchange,frontend source, video):
The %Library.DynamicObject class has been in IRIS since before it became IRIS. If you have been using it since the Cache days, you may want to brush up on some of its changes.
In Cache 2018, the %Get method only had one argument. It was the key to retrieving from the JSON, meaning that if your JSON object called myObj, it would look like the following:
Say I have an ObjectScript object called Book. It has 2 properties title and author. It extends JSON.%Adaptor, so I can call book.%JSONExport() and get this output:
{ "title": "For Whom the Bell Tolls", "author": "Hemmingway" }
In my web service I want to have a search function that returns an array of Books along with the total number of responses, like this:
This guideline provides an overview of how to design and implement a REST API interface for querying patient demographic data from an Electronic Patient Record (EPR) system using HealthConnect. The process involves sending a query request with the patient's identification number, retrieving the response from the EPR system, extracting the required patient demographic data from the HL7 message, and sending it as a JSON response to the supplier. The high-level process diagram is shown below (Screenshot 1).
I'm trying to create an indexed table with an vector field so I can search by the vector value. I've been investigating and found that to get the vector value based on the text (token), use a Python method like the following:
A REST API (Representational State Transfer) is an interface that allows different applications to communicate with each other through the HTTP protocol, using standard operations such as GET, POST, PUT, and DELETE. REST APIs are widely used in software development to expose services accessible by other applications, enabling integration between different systems.
In the world of APIs, REST is very extended. But what happens when you need more flexibility in your data-fetching strategies? For instance letting the client to choose what fields is going to receive. Enter GraphQL, a query language for your APIs that provides a flexible alternative to REST.
In this post, we will:
Compare REST and GraphQL.
Dive into the basics of GraphQL: Queries, Mutations, and HTTP.
Build a simple GraphQL server implementation using Graphene, SQLAlchemy, and Flask over data in InterSystems IRIS.
Explore how to deploy your GraphQL server as a WSGI application in IRIS.
I thought i would share a little method I knocked together to traverse and compare 2 JSON objects for basic equivilance. I'm currently working on some data migration, and wanted a basic sanity check to validate that the JSON output is basically equivliant between the old and new, excluding a few things like timestamps.
It's a basic little recurvsive method, that will bubble up any differences over a nested structure. It's very low tech, as that's all I need it to do, but I thought it might be useful for others?
For one of our customers I had to integrate with the AFAS imageconnector endpoint /imageconnector/{imageId}?format={format}.
This endpoint returns in a json message with the image as a base64-encoded string property, in addition to the mimetype for the image:
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.
I am having a hard time figuring out how to properly use %ZEN.Auxiliary.jsonProvider to serialize a %RegisteredObject to JSON. Would be anyone so kind to share some simple usage example?
JWT (JSON Web Token) is an open standard (RFC 7519) that offers a lightweight, compact, and self-contained method for securely transmitting information between two parties. It is commonly used in web applications for authentication, authorization, and information exchange.
A JWT is typically composed of three parts:
1. JOSE (JSON Object Signing and Encryption) Header 2. Payload 3. Signature
We are trying to create a JWT in order to get oauth2 token from login.microsoftonline.com and then use that token to get key/secret from an Azure Key Vault.
It seemed like it would be quite straightforward by using the Create method of class %Net.JSON.JWT
Using Flask, REST API, and IAM with InterSystems IRIS
Part 3 – IAM
InterSystems API Manager (IAM) is a component that allows you to monitor, control, and manage traffic from HTTP-based APIs. It also acts as an API gateway between InterSystems IRIS applications and servers.
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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