Representational state transfer (REST) is a software architectural style that defines a set of constraints to be used for creating Web services. Web services that conform to the REST architectural style, called RESTful Web services (RWS), provide interoperability between computer systems on the Internet. RESTful Web services allow the requesting systems to access and manipulate textual representations of Web resources by using a uniform and predefined set of stateless operations. Other kinds of Web services, such as SOAP Web services, expose their own arbitrary sets of operations.
I work as an Integration Engineer for United States Department of Veterans Affairs (VA). I work on a Health Connect production which processes many RecordMap files. I do not fully understand RecordMaps and I wanted to develop an application for the Interoperability contest where I could learn more about working with RecordMaps. I browsed InterSystems documentation for inspiration on how to start. I was happy to find CSV Record Wizard.
Over the past year or so, my team (Application Services at InterSystems - tasked with building and maintaining many of our internal applications, and providing tools and best practices for other departmental applications) has embarked on a journey toward building Angular/REST-based user interfaces to existing applications originally built using CSP and/or Zen. This has presented an interesting challenge that may be familiar to many of you - building out new REST APIs to existing data models and business logic.
The first installment of this article series discussed how to read a big chunk of data from the raw body of an HTTP POST method and save it to a database as a stream property of a class. The second installment discussed how to send files and their names wrapped in a JSON format.
Now let’s look closer at the idea of sending large files in parts to the server. There are several approaches we can use to do this. This article discusses using the Transfer-Encoding header to indicate chunked transfer. The HTTP/1.1 specification introduced the Transfer-Encoding header, and the RFC 7230 section 4.1 described it, but it’s absent from the HTTP/2 specification.
Healthcare interoperability is instrumental in improving patient care, decreasing healthcare provider costs, and providing a more accurate picture to providers. However, with so many different systems, data is formatted in many different ways. There are many standards that have been created to try to solve this problem, including HL7v2, HL7v3, and CDA but each one has its drawbacks.
So, one day you're working away at WidgetsDirect, the leading supplier of widget and widget accessories, when your boss asks you to develop the new customer facing portal to allow the client base to access the next generation of Widgets..... and he wants you to use Angular 1.x to read into the department's Caché server.
There's only one problem: You've never used Angular, and don't know how to make it talk to Caché.
This guide is going to walk through the process of setting up a full Angular stack which communicates with a Caché backend using JSON over REST.
Let's imagine if you would like to write some real web application, for instance, some simple clone of medium.com. Such sort of application can be written using any different language on the backend side, or with any framework on the frontend side. So many ways to do the same application, and you can look at this project. Which offers a bunch of frontends and backends realizations for exactly the same application. And you can easily mix them, any chosen frontend should work with any backend.
Let me introduce the same application realization for InterSystems IRIS on a backend side.
In this 3-part series of articles, is shown how you can use IAM to simply add security, according to OAuth 2.0 standards, to a previously unauthenticated service deployed in IRIS.
In the first part, was provided some OAuth 2.0 background together with some IRIS and IAM initial definitions and configurations in order to facilitate the understanding of the whole process of securing your services.
Earlier this year, the AppS.REST package was released. AppS.REST is a framework for easily exposing existing persistent classes in IRIS as REST resources. AppS.REST-enabled classes support CRUD operations with little effort from the developer, bridging the gap between persistent data in IRIS and data consumers, such as an Angular front end application.
But IRIS classes are much more than just a definition for loading and saving individual records! This article aims to highlight a few ways to leverage the power of IRIS in your REST applications. Using the Phone.Contact sample app, we'll look at out-of-the-box query support, use of class queries and finally ObjectScript methods.
InterSystems IRIS 2019.1 has been out for a while and I would like to cover some enhancements for handling JSON which might have gone unnoticed. Dealing with JSON as a serialization format is an important part of building modern applications, especially when you interact with REST endpoints.
In the previous article, we discussed the development of business processes, which are part of the components required for system integration and serve as a production coordinator.
In this article, I would like to talk about the spec-first approach to REST API development.
While traditional code-first REST API development goes like this:
Writing code
REST-enabling it
Documenting it (as a REST API)
Spec-first follows the same steps but reverse. We start with a spec, also doubling as documentation, generate a boilerplate REST app from that and finally write some business logic.
This is advantageous because:
You always have relevant and useful documentation for external or frontend developers who want to use your REST API
Specification created in OAS (Swagger) can be imported into a variety of tools allowing editing, client generation, API Management, Unit Testing and automation or simplification of many other tasks
Improved API architecture. In code-first approach, API is developed method by method so a developer can easily lose track of the overall API architecture, however with the spec-first developer is forced to interact with an API from the position if API consumer which usually helps with designing cleaner API architecture
Faster development - as all boilerplate code is automatically generated you won't have to write it, all that's left is developing business logic.
Faster feedback loops - consumers can get a view of the API immediately and they can easier offer suggestions simply by modifying the spec
InterSystems API Management (IAM) - a new feature of the InterSystems IRIS Data Platform, enables you to monitor, control and govern traffic to and from web-based APIs within your IT infrastructure. In case you missed it, here is the link to the announcement. And here's an article explaining how to start working with IAM.
In this article, we would use InterSystems API Management to Load Balance an API.
In our case, we have 2 InterSystems IRIS instances with /api/atelier REST API that we want to publish for our clients.
There are many different reasons why we might want to do that, such as:
Load balancing to spread the workload across servers
Blue-green deployment: we have two servers, one "prod", other "dev" and we might want to switch between them
Canary deployment: we might publish the new version only on one server and move 1% of clients there
Hi Community!
Today I'd like to share with you a link to some exercises from a workshop about developing REST APIs and how to manage them using InterSystems API Manager.
In the first installment of this article series, we discussed how to read a “big” chunk of data from the raw body of an HTTP POST method and save it to a database as a stream property of a class. Now let’s look at how to save such data and metadata in JSON format.
InterSystems IRIS has a menu called Interoperability.
It provides mechanisms to easily create system integrations (adapters, record maps, BPMs, data conversions, etc.) so different systems can be easily connected.
For the benefit of those who want to use the Document Database (DocDB) capabilities within InterSystems IRIS, and specifically the REST API it provides, I put together a PostmanCollection that provides samples for several basic calls.
QEWD is assumed by most people to only integrate with IRIS (or Cache) via a connection through IRIS's high-performance C interface. This requires QEWD (and its Node.js environment) to be installed and configured on the same machine as IRIS.
I'm frequently asked if QEWD can run on a separate server (or servers), and access IRIS (or Cache) over a network connection. The answer is yes it can, but the information on how to set it up in this way has been admittedly a bit tricky to discover.
We are in the age of the multiplatform economy and APIs are the "glue" in this digital scenario. Since they are so important, they are seen by developers as a service or product to be consumed. Therefore, usage experience is a crucial factor for its success.
OpenAPI-Client Gen has just released, this is an application to create an IRIS Interoperability Production client from Swagger 2.0 specification.
Instead of the existing tool ^%REST that creates a server-side REST application, OpenAPI-Client Gen creates a complete REST Interoperability Production client template.
IRIS Interoperability Productions formerly known as Ensemble are fun to work with. Yes, I really think my work is fun. I have seen File Passthrough Services and File Passthrough Operations come in handy. At one point we placed test messages in files, then we utilized a File Passthrough Service with Inbound File Adapter to send the contents of the file as a Stream to a File Passthrough Operation with Outbound TCP Adapter.
Those of you who are following the FullStack competition here in the Developer Community will know that I submitted an entry named qewd-conduit. I wanted to summarise why I think it's something worth you taking a bit of time to check out.
qewd-conduit uses the Node.js-based QEWD framework alongside IRIS to implement the back-end REST APIs for something known as the RealWorld Conduit application:
One useful feature of our REST framework is the ability for a dispatch class to identify request prefixes and forward them to another dispatch class. This approach of modularizing your URL map will improve code readability, enable you to easily maintain separate versions of an interface, and provide a means to protect API calls that only certain users will be allowed to access.
By default InterSystems IRIS expose your endpoints using http, but can be necessary run https from your dev env and/or get public internet access to your app. You can buy or get a certificate and config a gateway, spending many hours or use a great public service called ngrok. Follow the steps:
1 - Run your app, I will use FHIR template as sample, see:
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