Welcome to Open Exchange

At InterSystems, we deeply appreciate the rapid innovation enabled by open-source development. Our team acknowledges the significant impact of the community's dedication, which has been a driving force behind the evolution of software and data technology.

Top contributors

Featured applications

4 Application(s)
Filter
Show only
Last release on OEX
Categories
Works with
Industry
Health Connect Cloud
Clear filters
Application NameDeveloperMade withRatingLast updatedViewsInstalls

IRIS REST API Explorer for VS Code

A VS Code extension for browsing IRIS server REST API endpoints

John Murray
0.0 (0)18 Nov, 2024 25

FHIRDrop-FHIRBox

A simple production that enables FHIR transaction bundles to be loaded into InterSystems® FHIR® Server via Box and Dropbox.

Ron Sweeney
0.0 (0)17 Jan, 2023 226

InterSystems Ideas Waiting to be Implemented

Parser for arbitrary binary protocols

Rapid growth of IoT industry in recent years produced a plethora of new protocols with varying levels of standardization and adoption. Quite a lot of these protocols are binary because: * It allows for greater throughput * On a device level these protocols are easier to implement * On a device level they are more resource (CPU/RAM) efficient Currently InterSystems IRIS offers several functions for work with binary data: * zzdump * $zhex * $char * $ascii But protocol implementation is left as a task for the end user. Removing the time-consuming need for protocol implementation would allow for easier and stronger positioning of InterSystems IRIS as an IoT platform. One of the possible approaches to protocol implementation is declarative parsing. With declarative parsing user describes the data structure that he wants parsed (i.e.{ name: title, type: string, length: 5}...) in some declarative language (XML, JSON, YAML) and we use this to generate a concrete parser. Afterwards user passes protocol data to the concrete parser implementation and receives parsed values (as objects or locals or $lb). Kaitai Struct (http://kaitai.io) is an OpenSource (MIT license) declarative parser implementation which allows user to generate parser code for several languages: C++, C#, Go, Java, JavaScript, Lua, Perl, PHP, Python, Ruby, Rust. It allows easy language extensibility by keeping most of the process language-agnostic and only the last step (concrete parser generation) is end-language specific. I propose we add ObjectScript as a Kaitai Struct generation language. It would allow us to generate native ObjectScript parsers easily which would help with presenting InterSystems IRIS an IoT platform especially at a PoC stage. Alternatives to Kaitai Struct: * binpac (https://github.com/bro/binpac) - C++ only * preon (https://github.com/preon/preon) - Java only The advantage of Kaitai Struct is that it's not aimed at one language form the beginning, so adding a new language is an expected procedure. Article on the topic (https://old.reddit.com/r/cpp/comments/5tcnmh/implementing_communication_protocols_in_c_for/)

E
by Eduard Lebedyuk

3

Votes

0

Comments
Vote

NeuraHeart

See readme for auth details.

G
Grzegorz Koperwas
Python
4.0 (1)27 Nov, 2022 148

DeepScan

A python-based program interlinked with EMR in HMS via FHIR

S
Syed Muhammad Aqeel Abidi
1.0 (1)27 Nov, 2022 116