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benjaminaaron committed May 7, 2024
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2 changes: 2 additions & 0 deletions bundle.js

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1 change: 1 addition & 0 deletions choices.min.css

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176 changes: 176 additions & 0 deletions index.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>FörderFunke</title>
<script src="./bundle.js"></script>
<link rel="stylesheet" href="./choices.min.css" />
<script src="./choices.min.js"></script>
<style>
body {
font-family: Arial, sans-serif;
}
.loadingDiv {
color: gray;
}
</style>
</head>
<body>
<h3>User profile</h3>
<div id="userProfileDiv"></div>
<h3>Missing data points</h3>
<div>Set a focus:</div>
<br/>
<select id="focusInputSelectElement" multiple></select>
<div class="loadingDiv">Loading...</div>
<div id="missingDataPointsDiv"></div>
<h3>Report</h3>
<div class="loadingDiv">Loading...</div>
<table id="reportTable"></table>

<script>
const element = document.getElementById("focusInputSelectElement")
const focusInputSelect = new Choices(element, {
removeItemButton: true,
position: "bottom",
placeholderValue: "No focus set --> prioritization of missing data points goes over all requirement profiles",
});

let turtleMap
let metadata
let validateAllReport

let userProfile = `
@prefix ff: <https://foerderfunke.org/default#> .
ff:mainPerson a ff:Citizen .
`

async function fetchTextFile(relPath) {
const response = await fetch(relPath)
return await response.text()
}

async function loadFiles() {
let turtleMap = {
"datafields": await fetchTextFile("requirement-profiles/datafields.ttl"),
"materialization": await fetchTextFile("requirement-profiles/materialization.ttl"),
"shacl": {}
}
let shaclFiles = await fetchTextFile("shacl-files.txt")
for (let filename of shaclFiles.split("\n")) {
if (!filename) continue
turtleMap.shacl[filename] = await fetchTextFile("requirement-profiles/shacl/" + filename)
}
return turtleMap
}

async function fetchMetadata() {
metadata = {
df: await MatchingEngine.extractDatafieldsMetadata(turtleMap.datafields),
rp: await MatchingEngine.extractRequirementProfilesMetadata(Object.values(turtleMap.shacl))
}
console.log("metadata", metadata)
}

function buildFocusInputSelectChoices() {
// TODO

focusInputSelect.setChoices([
{
label: "GroupA",
choices: [
{value: "foo", label: "Foo"},
{value: "bar", label: "Bar"},
]
},
{
label: "GroupB",
choices: [
{value: "hey", label: "Hey"},
{value: "jo", label: "Jo"},
]
},
])
}

async function validateAll() {
document.getElementById("userProfileDiv").textContent = userProfile

validateAllReport = await MatchingEngine.validateAll(userProfile, turtleMap.shacl, turtleMap.datafields, turtleMap.materialization)
console.log("validateAllReport", validateAllReport)

for (let report of validateAllReport.reports) {
let tr = document.createElement("tr")
let td = document.createElement("td")
td.textContent = metadata.rp[report.rpUri]?.title ?? report.rpUri
tr.appendChild(td)
td = document.createElement("td")
td.textContent = report.result
tr.appendChild(td)
document.getElementById("reportTable").appendChild(tr)
}

buildPrioritizedMissingDataList()
}

function buildPrioritizedMissingDataList() {
let div = document.getElementById("missingDataPointsDiv")
div.textContent = ""
let prioritizedList = []

let missingData = validateAllReport.missingUserInputsAggregated

for (let key of Object.keys(missingData)) {
let datafield = missingData[key]
let usedInTitles = []
let lastMissingCounter = 0
for (let usedInRP of datafield.usedIn) {
usedInTitles.push(metadata.rp[usedInRP.rpUri].title + (usedInRP.isLastMissingUserInput ? " (!)" : ""))
if (usedInRP.isLastMissingUserInput) lastMissingCounter += 1
}
prioritizedList.push({
dfUri: datafield.dfUri,
label: metadata.df[datafield.dfUri]?.label ?? datafield.dfUri.split("#")[1],
score: datafield.usedIn.length + lastMissingCounter,
usedInTitles: usedInTitles
})
}
prioritizedList.sort((a, b) => b.score - a.score)
prioritizedList.forEach((entry) => {
let spanEl = document.createElement("span")
spanEl.title = entry.usedInTitles.join("\n")
let textNode = document.createTextNode(entry.score + ": ")
spanEl.appendChild(textNode)
div.appendChild(spanEl)
let a = document.createElement("a")
a.href = "#"
a.textContent = entry.label
a.addEventListener("click", function(event) {
event.preventDefault()
let input = prompt("What is your value for: " + entry.label)
if (input !== null) {
console.log(entry.dfUri, "-->", input)
// TODO
}
});
div.appendChild(a)
div.appendChild(document.createElement("br"))
});
for (const elem of Array.from(document.getElementsByClassName("loadingDiv"))) {
elem.style.display = "none"
}
}

async function run() {
turtleMap = await loadFiles()
await fetchMetadata()
await validateAll()
// buildFocusInputSelectChoices()
}

run()

</script>
</body>
</html>
21 changes: 21 additions & 0 deletions requirement-profiles/LICENSE
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MIT License

Copyright (c) 2024 FörderFunke

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
4 changes: 4 additions & 0 deletions requirement-profiles/README.md
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# requirement-profiles
Requirement profiles, details about datafields and materialization queries.

Used in the [foerderfunke-app](https://github.com/Citizen-Knowledge-Graph/foerderfunke-app) and for developing the [matching-engine](https://github.com/Citizen-Knowledge-Graph/matching-engine).
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