go to post Evgeny Shvarov · Mar 4, 2021 Hi Peipei! Great to know that you use ML algorithms in your solution. Do you use InterSystems IntegratedML? Could you please point to the code to know more about the usage?
go to post Evgeny Shvarov · Mar 3, 2021 Hi Lee! In addition to @Asaf's advice, I can recommend to try ISC DEV module It has a nice feature: d ##class(dev.code).export("*.DFI") it will export all DFI and all IRIS BI (DeepSee) globals involved. It's handy if you care about source-control with IRIS BI solutions and want to deploy it next. ISC Dev could be installed as: zpm "install isc-dev"
go to post Evgeny Shvarov · Feb 25, 2021 A great teaser for the course, thanks for sharing, @Yuri Marx!
go to post Evgeny Shvarov · Feb 18, 2021 Hi David! I'm not sure about the original IRIS BI, but if you install the DSW addon it recognizes hyperlinks in listings automatically.
go to post Evgeny Shvarov · Feb 17, 2021 If the idea is to deploy the solution somewhere and make the web app created automatically I'd suggest using the ZPM. ZPM can generate the necessary elements of the working web-app in your machine and put it in the module.xml description. So the ZPM module will deploy the code and will create a web-app (or apps) on the target machine with proper settings - actually with exactly the settings that work on your development machine. Here are the article and the video. HTH
go to post Evgeny Shvarov · Feb 16, 2021 Thank you for contributing ideas! We submitted all of them to this Github repository and here is the kanban for 2021. Welcome to implement the ideas and submit them to the InterSystems Grand Prix contest.
go to post Evgeny Shvarov · Feb 10, 2021 The part on Embedded Python is updated: here is the template that could be taken as a foundation to build an Embedded Python solution with IRIS. here is an article that describes Embedded Python usage and packaging with ZPM for deployment.
go to post Evgeny Shvarov · Feb 10, 2021 Thanks, Jose! Yes, indeed ZPM option of delivering files to a target IRIS installation looks elegant and robust. Maybe it could be used not only for Embedded python but e.g. for jar-files delivery and data. @Yuri Marx, what do you think?
go to post Evgeny Shvarov · Feb 5, 2021 Hi Sorin! It's definitely possible to have a development server and deploy code to a production server. Caché code could be maintained with Git of course. For automation they are very welcome to use Github Actions, Circle CI, etc. There is a question how to import codebase to a production server or any other deployment server - the basic approaches are: Import using the repo folder and Installer.cls Use ZPM Package manager. Use InterSystems Docker images - this is a more IRIS way then Caché.
go to post Evgeny Shvarov · Feb 3, 2021 Hi @yeung elijah! Have you tried WebTerminal ? It can substitute IRIS Terminal for some cases.
go to post Evgeny Shvarov · Feb 2, 2021 Andre, could you please elaborate on this? There is ODBC/JDBC option. Terminal. Call-in. What else are you looking for?
go to post Evgeny Shvarov · Feb 1, 2021 Perhaps you are looking for the way to filter JSON? do you want to try JSON Filter app by @Lorenzo Scalese ?
go to post Evgeny Shvarov · Jan 27, 2021 You can get any template ready. e.g. this one. Just clone it, open the folder in VSCode, run the docker container, and start coding.
go to post Evgeny Shvarov · Jan 27, 2021 We are having a lot of requests that voting is not available! Actually to vote for the contest you need: 1. Sign in to Open Exchange - DC credentials will work. 2. Make any valid contribution to DC - answer or ask questions, write an article, comment on any post.
