In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

  • Git 101
  • Git flow (development process)
  • GitLab installation
  • GitLab Workflow
  • Continuous Delivery
  • GitLab installation and configuration
  • GitLab CI/CD

In the first article, we covered Git basics, why a high-level understanding of Git concepts is important for modern software development, and how Git can be used to develop software.

In the second article, we covered GitLab Workflow - a complete software life cycle process and Continuous Delivery.

I this article we'll discuss:

  • GitLab installation and configuration
  • Connecting your environments to GitLab
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In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

  • Git 101
  • Git flow (development process)
  • GitLab installation
  • GitLab Workflow
  • Continuous Delivery
  • GitLab installation and configuration
  • GitLab CI/CD

In the previous article, we covered Git basics, why a high-level understanding of Git concepts is important for modern software development, and how Git can be used to develop software. Still, our focus was on the implementation part of software development, but this part presents:

  • GitLab Workflow - a complete software life cycle process - from idea to user feedback
  • Continuous Delivery - software engineering approach in which teams produce software in short cycles, ensuring that the software can be reliably released at any time. It aims at building, testing, and releasing software faster and more frequently.

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Everybody has a testing environment.

Some people are lucky enough to have a totally separate environment to run production in.

-- Unknown

.

In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

  • Git 101
  • Git flow (development process)
  • GitLab installation
  • GitLab WorkFlow
  • GitLab CI/CD
  • CI/CD with containers

This first part deals with the cornerstone of modern software development - Git version control system and various Git flows.

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I needed to know programmatically if last ran failed or not.

After some exploring, here's the code:

ClassMethod isLastTestOk() As %Boolean
{
  set in = ##class(%UnitTest.Result.TestInstance).%OpenId(^UnitTest.Result)
  for i=1:1:in.TestSuites.Count() {
    #dim suite As %UnitTest.Result.TestSuite
    set suite = in.TestSuites.GetAt(i)
    return:suite.Status=0 $$$NO
  }
  quit $$$YES
}

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Several $System.OBJ methods have ByRef errorlog argument:

Compile(ByRef classes As %String = "", qspec As %String = "", ByRef errorlog As %String, recurse As %Boolean = 0)

ImportDir(dir As %String = "", wildcards As %String, qspec As %String = "", ByRef errorlog As %String, recurse As %Boolean = 0, ByRef imported As %String, listonly As %Boolean, ByRef selectedlist As %String)

What's the best approach of working with errorlog?

Do you convert it to status? If so - how? Manual iteration over local?

Is there some system method to convert it into %Status?

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Let's say I want to execute this cache script (saved as test.txt) from OS terminal:

zn "USER"
write 1
zn "%SYS"
write 2
halt

Executing the following command in a terminal:

csession cache < test.txt

Would yield this output:

$ csession cache < script.txt

Node: gitlab-test, Instance: CACHE

USER>

USER>
1
USER>

%SYS>
2
%SYS>
Job succeeded

Is there a better way to run these scripts?

Currently I have two problems:

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Currently to check if the class is mapped I call:

ClassMethod IsClassMapped(class) As %Boolean

{
  set sc = $system.OBJ.GetClassList(.classes,"/system=0 /percent=0 /mapped=0")
  quit $data(classes(class))
}

And it works, but I'm interested if there is a simpler approach out there?

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Article
· Jan 19, 2018 3m read
DigitalOcean API implementation

Recently DigitalOcean introduced new plans for droplets, but as existing droplets stayed on the old plans I decided to use API to resize them automatically. After reading tutorial, I wrote partial client for DigitalOcean API, which I would like to share today.

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Let's say I have Macro.Parent class:

Include Parent
Class Macro.Parent
{

ClassMethod Test()
{
    write "Class: " _ $classname() _ $c(10,13) _ "Value: " _ $$$name
}

}

which references Parent.inc macro name:

#define name "Parent"

Now, I want in my subclass Macro.Child to have Test method with the same code, but to redefine value of name macro.

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Article
· Dec 7, 2017 3m read
Asynchronous REST

In this article I'd like to discuss asynchronous REST and approaches to implementing it.

Why do we need asynchronous REST? Simply put - answering the request takes too much time. While most requests usually can be satisfied immediately, some can't. The reasons are varied:

  • You need to perform time-consuming calculations
  • Performing action actually takes time (for example container creation)
  • etc.

The solution to these problems is asynchronous REST. Asynchronous REST works by separating request and real response. Here's an example, let's consider the following simple async REST broker:

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Let's say I have this property:

Property FavoriteColors As List Of %String;

I heed to convert it to JSON using SQL or at least without object access (so direct global access).

What's the fastest way to do that?

I thought about JSON_ARRAY and JSON_ARRAYAGG sql functions but they don't do that.

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