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# display a JSON object as a table using PowerShell.
# the JSON is generated by a perl script
perl api-gfz.pl  -r \
  |  pwsh -Command "$json = Get-Content -Raw -Stream; ConvertFrom-Json $json | Format-Table -AutoSize "

# with a Where-Object filter in between:
perl api-gfz.pl  -r \
  |  pwsh -Command "$json = Get-Content -Raw -Stream; ConvertFrom-Json $json | Where-Object { \$_.status -eq 'paused' }  | Format-Table -AutoSize "

# Assumes that the JSON structure is an array of objects

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---
title:        Title
subtitle:     Subtitle
author:                     # originally: Erik Erhardt
date:         last-modified # today, now, last-modified
date-format:  long          # full, long, medium, short, iso,   https://quarto.org/docs/reference/dates.html
format:
  html:
    theme:                  litera
    highlight-style:        atom-one

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library(tidyverse)
library(lubridate)
library(rvest)

# Even better to use the Internet Archive since web pages change over time
url <- "https://web.archive.org/web/20220908211042/https://en.wikipedia.org/wiki/..."

wiki_raw <- read_html(url)
wiki_raw

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# CONSTRUCT query to surface the graph schema (ontology) as a sub-graph. 

CONSTRUCT {
    ?domain ?property ?range
}
WHERE {
	?property rdfs:domain ?domain ;
		rdfs:range ?range .

	FILTER(?domain NOT IN(rdfs:Class, rdf:Property))

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library(tidyverse)
tt <- tibble(
        x = c(TRUE, TRUE, FALSE, FALSE),
        y = c(TRUE, FALSE, TRUE, FALSE)
)

`->` <- function(x, y) {
        as.logical(dplyr::case_when(
                x == TRUE & y == TRUE ~  TRUE,
                x == TRUE & y == FALSE ~  FALSE,

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[
	{
		"subject": "http://example.com/demo/Country",
		"predicate": "http://example.com/demo/area_in_sq_km",
		"object": "http://www.w3.org/2001/XMLSchema#double"
	},
	{
		"subject": "http://example.com/demo/Country",
		"predicate": "http://example.com/demo/capital",
		"object": "http://www.w3.org/2001/XMLSchema#string"

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RDF Nodes cannot exist without at least one edge, to another node or to themselves.

IRI: Internationalized Resource Identifier, generalized URI used for proper things URLs are not officially recognised as a type of RDF node

Literal: string, number, date, etc. used for values

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<!-- markdownlint-disable MD041 -->
<!-- markdownlint-disable MD022 -->
<!-- markdownlint-disable MD026 -->
dig gfz-potsdam.de A        # A records only (name -> IP)
dig gfz-potsdam.de A +short # Short output
dig gfz-potsdam.de MX       # MX records (mail server)
dig gfz-potsdam.de TXT      # TXT records (text)
dig gfz-potsdam.de NS       # NS records (name server)
dig gfz-potsdam.de SOA # SOA records (start of authority)

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// Postman snippet to check if cookie jar contains a Yii2 Session cookie.
// For this to work any domain with a cookie of that value must be whitelisted inside postman.
// The error message text will point this out in case it fails.

let URL = require('url'); // postman-built-in

const cookieJar = pm.cookies.jar();
const cookieName = "PHPSESSID"; 
const baseUrl = pm.environment.get("baseUrl");
const parsedUrl = URL.parse(baseUrl)

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const fs = require('fs');
const process = require('process');
const newman = require('newman'); // require newman in your project
// call this as node newman-as-node-module-write-to-disk.js

// simpler: How can machine_name and port_number can be passed dynamically to the Postman tests when using Newman?
// newman run my-collection.json --global-var "machineName=mymachine1234" --global-var "machinePort=8080"
// In your request builder, just use them as normal variables https://{{machineName}}:{‌{machinePort}}.

// call newman.run to pass `options` object and wait for callback