Application Programming Interface (API) is a set of subroutine definitions, protocols, and tools for building application software. In general terms, it is a set of clearly defined methods of communication between various software components.
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.
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:
In this article, I’m excited to introduce CodeInspector, a tool designed to simplify code validation by applying custom rules tailored to your development requirements. Whether you're managing a large codebase or working in an agile environment, CodeInspector helps ensure code quality by offering flexibility and adaptability to specific project needs.
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.
For a long time I have wanted to learn the Django framework, but another more pressing project has always taken priority. Like many developers, I use python when it comes to machine learning, but when I first learned web programming PHP was still enjoying primacy, and so when it was time for me to pick up a new complicated framework for creating web applications to publish my machine learning work, I still turned to PHP.
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.
The introduction of InterSystems' "Vector Search" marks a paradigm shift in data processing. This cutting-edge technology employs an embedding model to transform unstructured data, such as text, into structured vectors, resulting in significantly enhanced search capabilities. Inspired by this breakthrough, we've developed a specialized search engine tailored to companies.
In our previous article, we explored how to send emails through Microsoft 365 using the Graph API. Since then, an anonymous client reached out to me about setting up some other methods of notifications through that API.
A few weeks ago I posted an announcement about a JavaScript-based interface for our mg_web WebServer interfacing addon module. mg_web isn't just restricted to use by JavaScript developers though. Many readers will be ObjectScript developers who are more used to using CSP as their web gateway. Some may even have much older legacy WebLink-based applications (and be wondering how to support them given that IRIS does not support WebLink).
One of the most common kinds of integration we are asked to do is emailing. One of the most typical email services our customers use is Microsoft’s Office 365. After setting up the right configuration on the Microsoft side, we can email from IRIS with two HTTP requests.
I would like to share with you a little trick to customize how messages are displayed in the Message Viewer. In particular, how you can display messages as JSON (instead of the default XML representation).
The invention and popularization of Large Language Models (such as OpenAI's GPT-4) has launched a wave of innovative solutions that can leverage large volumes of unstructured data that was impractical or even impossible to process manually until recently.
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.
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.
So far, we have covered how to use ObjectScript to manage users, roles, resources, and applications. There are a few other classes in this package that work similarly to the ones mentioned above. However, these four classes are the ones everyone will have to use to manage their application security.
In our previous post, we discussed the motivation for developing a chatbot agent with access to FHIR resources. In this post, we will dive into the high-level design aspects of integrating a Streamlit-based chat interface with a Java SpringBoot backend, and enabling a LangChain agent with access to FHIR (Fast Healthcare Interoperability Resources) via APIs.
Based on the successful solution for my 2nd contribution to the Contest I used an adapted version for this package. And have some findings I'd like to share.
Multiple communication steps over CPIPE may take time. You won't recognize it on a fast machine. But a slower box with Windows + Docker Desktop + your browser (and more) is neither "Speedy Gonzales" nor a "Road Runner". 🙂
There are situations when your only access to a server is using a web browser, and there is just no chance of a Terminal or Console access. The Online Demo Server is such a case.
So you have WebTerminal. That's fine for ObjectScript and Embedded Python.
In my previous articles, I described my Command Line Extension to NativeAPI. Of course, this is also available for any other NativeAPI package. So I created this example as a demo for the actual Java Contest. The package contains also an IRIS server in Docker for the demo It is evident that it also works with any remote IRIS server. You just have to provide it with my NativeAPI CommandLine Extension.
In my previous articles, I described my Command Line Extension to NativeAPI. Of course, this is also available for any other NativeAPI package. So I created this example in Python as a demo.
Using the Config.Configuration class and SYS.Database class methods, you can create and register a namespace database from the terminal.
Below is a series of execution examples that create database file /CacheDB/AAA/cache.dat and register database AAA and namespace AAA in the configuration file (cache.cpf). * Execute in the %SYS namespace. *
* Make sure that this script runs as the user that is used for all IRIS processes to ensure that the directory has appropriate ownership and permissions *
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