utils.js
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Created: Tue, Jan 28, 17:07

utils.js
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	'use client'

	import * as d3 from "d3";
	import {useRef} from "react";

	function freeTextSearch(
	searchTerm,
	num_results = 30,
	searchEntity = 'research',
	callback,
	conceptsOrVectors,
	searchData,
	setSearchData
	) {
	console.log('freetextSearch')
	console.log("searchEntity", searchEntity)
	console.log("searchData", searchData)
	console.log('conceptsOrVectors', conceptsOrVectors)

	let freeTextSearchURL;
	const BASE_URL = process.env.NEXT_PUBLIC_BACKEND_SERVER_ADDRESS; // Accessing the environment variable


	if (conceptsOrVectors === 'concepts') {
	// freeTextSearchURL = 'http://127.0.0.1:5000/concepts/submitAny';
	console.log('base_url', BASE_URL)

	freeTextSearchURL = `${BASE_URL}concepts/submitAny`;
	} else if (conceptsOrVectors === 'vectors') {
	// freeTextSearchURL = 'http://127.0.0.1:5000/vectors/freeTextSearch';
	freeTextSearchURL = `${BASE_URL}vectors/freeTextSearch`;
	} else {
	//raise error
	console.log("Error: conceptsOrVectors must be either 'concepts' or 'vectors', not ", conceptsOrVectors)
	}

	fetch(freeTextSearchURL, {
	method: 'POST',
	headers: {
	'Content-Type': 'application/json'
	},
	body: JSON.stringify({
	text: searchTerm,
	num_results: num_results,
	searchEntity: searchEntity
	})
	})
	.then(response => response.json())
	.then(data => callback(data, searchData, setSearchData))
	.catch((error) => {
	console.error('Error:', error);
	});
	}

	export default freeTextSearch

	export function getAutocompleteSuggestions(searchText, typeOfSearch) {
	// console.log("searchTerm", searchTerm)
	const BASE_URL = process.env.NEXT_PUBLIC_BACKEND_SERVER_ADDRESS; // Accessing the environment variable

	const autocompleteURL = `${BASE_URL}concepts/autocomplete`;
	console.log("autocompleteURL", autocompleteURL)

	return fetch(autocompleteURL, {
	method: 'POST',
	headers: {
	'Content-Type': 'application/json'
	},
	body: JSON.stringify({
	text: searchText,
	typeOfSearch: typeOfSearch
	})
	})
	}


	export function getDataForCollab(
	callback,
	defineSizeOfNodes,
	yearsSelected,
	checkedPublicationTypes,
	arrayLabInfoRef,
	) {

	return new Promise((resolve, reject) => {


	console.log("getSimilarities");

	const BASE_URL = process.env.NEXT_PUBLIC_BACKEND_SERVER_ADDRESS; // Accessing the environment variable

	// const similaritiesURL = 'http://127.0.0.1:5000/collaborations/similaritiesBetweenLabs'; // <-- Assuming this base URL
	// const similaritiesURL = 'https://expert-finder.epfl.ch//collaborations/similaritiesBetweenLabs'; // <-- Assuming this base URL
	const similaritiesURL = `${BASE_URL}collaborations/similaritiesBetweenLabs`;

	fetch(similaritiesURL, {
	method: 'GET',
	headers: {
	'Content-Type': 'application/json'
	}
	})
	.then(response => response.json())
	.then(data => {
	let localData = data;
	let dicoLabInfo = localData['dicoLabInfo'];

	let linksData = localData['links'];

	let filteredData = {}
	for (let lab in dicoLabInfo) {
	if (dicoLabInfo[lab].details[0].level === 'lab' \|\|
	dicoLabInfo[lab].details[0].level === 'institute' \|\|
	dicoLabInfo[lab].details[0].level === 'school') {
	filteredData[lab] = dicoLabInfo[lab]
	}
	}

	let filteredData2 = {}
	for (let lab in filteredData) {
	if (lab === filteredData[lab].newName) {
	filteredData2[lab] = filteredData[lab]
	}
	}

	dicoLabInfo = filteredData2
	for (let lab in dicoLabInfo) {
	dicoLabInfo[lab].id = lab
	}

	let arrayLabInfo = Object.keys(dicoLabInfo).map(function (key) {
	return dicoLabInfo[key];
	});

	defineSizeOfNodes(
	arrayLabInfo,
	yearsSelected,
	checkedPublicationTypes
	);

	arrayLabInfo.forEach(function (d) {
	if (d.embedding2D === null) {
	console.log('failed d', d)
	}
	d.x = d.embedding2D[0] * 50;
	d.y = d.embedding2D[1] * 50;
	});

	let linksDataFiltered = []
	for (let i = 0; i < linksData.length; i++) {
	if (linksData[i].source in dicoLabInfo && linksData[i].target in dicoLabInfo) {
	linksDataFiltered.push(linksData[i])
	}
	}
	linksData = linksDataFiltered

	// ... Rest of the data processing ...

	arrayLabInfoRef.current = arrayLabInfo

	console.log("arrayLabInfoRef.current", arrayLabInfoRef.current)

	callback(linksData); // Assuming this is what you want to pass back
	})
	.catch(error => {
	console.error("error", error);
	});

	})
	}

	export function wrap(text, width) {
	text.each(function () {
	var gnodeParent = d3.select(this.parentNode);
	// console.log("gnodeParent", gnodeParent)
	var gnodeParentData = gnodeParent._groups[0][0].__data__;
	// console.log("gnodeParentData", gnodeParentData)
	var text = d3.select(this),
	words = text.text().split(" ").reverse(),
	nwords = words.length,
	word,
	line = [],
	lineNumber = 0,
	lineHeight = 1.1, // ems
	x = text.attr("x"),
	y = text.attr("y"),
	dy = -(nwords + 1 / 2) * lineHeight / 2, //parseFloat(text.attr("dy")),
	tspan = text.text(null)
	.append("tspan")
	.attr("x", x)
	.attr("y", y)
	.attr("dy", dy + "em");
	while (word = words.pop()) {
	// console.log("word", word)
	line.push(word);
	tspan.text(line.join(" "));
	if (tspan.node().getComputedTextLength() > width) {
	line.pop();
	tspan.text(line.join(" "));
	line = [word];
	// create a span with d3

	tspan = text.append("tspan")
	.text(word)
	.attr("font-weight", "bold")
	.attr("font-size", parseInt(gnodeParentData.size / 3) + "px")
	.attr("dx", function () {
	return -this.getComputedTextLength() / 2
	})
	.attr("x", 0)
	.attr("y", 0)
	.attr("dy", ++lineNumber * lineHeight + dy + "em");
	}
	}
	});
	}

	export function callbackAddConceptsToBoxes(data, searchData, setSearchData) {
	console.log('callbackAddConceptsToBoxes')
	console.log('received data', data)
	console.log('received searchData', searchData)
	console.log('received setSearchData', setSearchData)
	if (data['table'].length === 0) {
	console.log('received data is empty')
	return
	}

	let myNewConceptsToAddBoxes_with_duplicates = [
	...searchData['conceptsToAddBoxes'],
	...data['conceptsToAddBoxes']
	]

	let myNewConceptsToAddBoxes = []
	const seen = new Set();

	for (const item of myNewConceptsToAddBoxes_with_duplicates) {
	if (!seen.has(item.id)) {
	seen.add(item.id);
	myNewConceptsToAddBoxes.push(item);
	}
	}


	let myNewConceptsOfPeople = {
	...searchData['conceptsOfPeople'],
	...data['conceptsOfPeople']
	}


	let myNewTableColumnsInRightOrder = [
	...new Set([
	...searchData['tableColumnsInRightOrder'],
	...data['tableColumnsInRightOrder']
	])
	]

	// create new table with all rows from both tables
	// Create lookup objects.
	let lookupData = {};
	let lookupSearchData = {};

	data['table'].forEach(item => lookupData[item.ID] = item);
	searchData['table'].forEach(item => lookupSearchData[item.ID] = item);

	// Get the unique keys from both data sets
	let setOfKeys1 = new Set(data['table'].flatMap(item => Object.keys(item)));
	let setOfKeys2 = new Set(searchData['table'].flatMap(item => Object.keys(item)));

	// Create a merged array
	let mergedArray = [];

	// Get the union of keys from both datasets
	let allKeys = [...new Set([...setOfKeys1, ...setOfKeys2])];

	// Iterate through the IDs in both datasets
	let allIDs = [...new Set([...data['table'].map(item => item.ID), ...searchData['table'].map(item => item.ID)])];

	allIDs.forEach(id => {
	let baseData = lookupData[id] \|\| {};
	let searchItem = lookupSearchData[id] \|\| {};

	let mergedItem = {ID: id}; // Initialize with ID

	allKeys.forEach(key => {
	mergedItem[key] = baseData[key] \|\| searchItem[key] \|\| 0;
	});

	mergedArray.push(mergedItem);
	});

	// Now mergedArray will have your required data


	let myNewData = {
	...searchData,
	'conceptsToAddBoxes': myNewConceptsToAddBoxes,
	'conceptsOfPeople': myNewConceptsOfPeople,
	'tableColumnsInRightOrder': myNewTableColumnsInRightOrder,
	'table': mergedArray
	}
	setSearchData(myNewData)
	}

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