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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<style>
body { font-family: 'Cantarell', Helvetica, Arial, sans-serif; }
.twitter-typeahead { width: 87% ;}
.typeahead, .tt-query, .tt-hint {
width: 100%; height: 30px;
padding: 8px 12px; outline: none;
font-size: 20px; line-height: 30px;
border: 2px solid #ccc; border-radius: 8px;
-webkit-border-radius: 8px;
-moz-border-radius: 8px;
}
.tt-menu {
width: 100%; margin: 12px 0; padding: 8px 0;
background-color: #fff;
border: 1px solid #ccc; border-radius: 8px;
-webkit-border-radius: 8px;
-moz-border-radius: 8px;
-webkit-box-shadow: 0 5px 10px rgba(0,0,0,.2);
-moz-box-shadow: 0 5px 10px rgba(0,0,0,.2);
box-shadow: 0 5px 10px rgba(0,0,0,.2);
}
.tt-suggestion { padding: 3px 20px; line-height: 24px; font-size: 18px; }
.tt-suggestion span { padding-left: 16px; font-size: 14px; color: #777; float: right; }
.tt-cursor { background: #ddd; }
.tt-highlight { font-weight: normal; color: #777; }
</style>
<!-- js labraries -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/corejs-typeahead/1.2.1/bloodhound.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/corejs-typeahead/1.2.1/typeahead.jquery.min.js"></script>
</head>
<body>
<div id="the-basics">
<input class="typeahead" id="tagsInput" type="text" placeholder="try me!">
</div>
</body>
<script>
// arrays for kb-format (utf/EL-Gr to ascii translation)
var ORiGiN = 'ςερτυθιοπασδφγηξκλζχψωβνμΕΡΤΥΘΙΟΠΑΣΔΦΓΗΞΚΛΖΧΨΩΒΝΜάέήίόύώϊϋΆΈΉΊΌΎΏΪΫQWERTYUIOPASDFGHJKLZXCVBNM'.split('');
var kbKeyZ = 'sertyuiopasdfghjklzxcvbnmertyuiopasdfghjklzxcvbnmaehioyviyaehioyviyqwertyuiopasdfghjklzxcvbnm'.split('');
// convert string to kb-format
function kb_trans(s) {
var charArr = s.split('')
var i
var out = ''
charArr.forEach( el => {
i = 0
exist = -1
ORiGiN.forEach( ori => {
if (ori == el) {
exist = i;
}
i++;
})
out += (exist == -1) ? el : kbKeyZ[exist];
});
return out;
}
// public data objects
var products;
var everyProduct;
function loadData() {
const xhttp = new XMLHttpRequest();
xhttp.onload = function() {
products = JSON.parse(this.responseText);
}
xhttp.open("GET", "results/keywords-v3.json");
xhttp.send();
}
loadData();
function loadData2() {
const xhttp = new XMLHttpRequest();
xhttp.onload = function() {
everyProduct = JSON.parse(this.responseText);
}
xhttp.open("GET", "results/products.json");
xhttp.send();
}
loadData2();
// bigram fuzzy match
// --- credit: https://dirask.com/posts/JavaScript-check-words-similarity-fuzzy-compare-with-bigrams-paola1
const createBigram = word => {
const input = word.toLowerCase();
const vector = [];
for (let i = 0; i < input.length; ++i) {
vector.push(input.slice(i, i + 2));
}
return vector;
};
const checkSimilarity = (a, b) => {
if (a.length > 0 && b.length > 0) {
const aBigram = createBigram(a);
const bBigram = createBigram(b);
let hits = 0;
for (let x = 0; x < aBigram.length; ++x) {
for (let y = 0; y < bBigram.length; ++y) {
if (aBigram[x] === bBigram[y]) {
hits += 1;
}
}
}
if (hits > 0) {
const union = aBigram.length + bBigram.length;
return (2.0 * hits) / union;
}
}
return 0;
};
var biMMS = .6; // bigram minimum match score
// on document ready code /////////////////////////////////////////////////////
$(document).ready(function() {
// suggestions engine ////////////////////////////////////////////////////
// ---
var isuggest = function(qOrig, list) {
var results = []; // suggestions to respond
var proList = []; // list of products (for all suggestions)
var commonL = []; // list of common products (for multiple suggestions)
var possibleNext = []; // list of possible next suggestions
var root, last;
// clean q(uery) string from symbols and multiple spaces
var q = qOrig.replace('+',' ').replace('.',' ')
.replace(' ',' ')
.replace(' ',' ');
// split to words
var qAr = q.split(' ');
// console.log(qAr);
if (qAr.length == 1) { // suggest 1st word ////////////////////////
var kbq = kb_trans(q)
// regex match all possible suggestions; (in kb-format)
substrRegex = new RegExp( kbq, 'i'); // match q anywhere
products.forEach( it => {
if ( (substrRegex.test(it.kb))
|| (checkSimilarity(it.kb, kbq) > biMMS) ) {
// console.log(it.kb, kbq, checkSimilarity(it.kb, kbq));
results.push(it);
}
});
}
if (qAr.length == 2) { // suggest 2nd word ///////////////////////////
root = qAr[0].trim();
kbroot = kb_trans(root);
substrRegex = new RegExp( kb_trans(qAr[1]), 'i');
products.forEach( it => { // loop through suggestions
if (it.kb == kbroot ) { // match 1st suggestion
it.c.forEach ( wo => { // regex match linked words
if ( (substrRegex.test(wo.kb))
|| (checkSimilarity(wo.kb, kbroot) > biMMS) ) {
results.push({
w: root +' '+ wo.w,
f: 100
});
proList = proList.concat(wo.p)
}
});
}
});
}
if (qAr.length > 2) {
root = qAr.shift(); // get out the first item of qAr
last = qAr.pop(); // get out the lase item of qAr
// now qAr includes only the items after root and before last;
// so qAr includes all already selected suggestions (but root)
var kbqAr = []; // array of selected suggestions in kb-format
qAr.forEach( w => { kbqAr.push(kb_trans(w)); })
// kb-translate the root/last keys
kbroot = kb_trans(root);
kblast = kb_trans(last);
substrRegex = new RegExp( kblast, 'i'); // construct regex for mathing
products.forEach( it => {
if (it.kb == kbroot ) { // find root
// calculate list of common items/products (commonL)
// for selected suggestions
// ---
is1stOcc = true; // 1st occurance flag
it.c.forEach ( swo => {
if (kbqAr.includes( swo.kb )) {
// swo is one of the already selected suggestions
// so...
// update the commonL(ist)
if (is1stOcc) {
commonL = swo.p;
is1stOcc = false;
}
else {
// list ot common products
// = intersection of (so-far) commonL and swo.p
commonL = commonL.filter(value => swo.p.includes(value));
}
}
else { // if swo is not already selected
// then it is a possible next suggestion
possibleNext.push(swo);
}
});
// console.log('commonL:', commonL)
possibleNext.forEach( poss => { // for tthe possible next suggestions
// if word matches regex
// and list of word's products has commons with commonL
// then it is a valid next suggestion
if (substrRegex.test(poss.kb)) {
// check intersection of commonL and suggestion's product-lists
tempL = commonL.filter(value => poss.p.includes(value));
if (tempL.length) {
results.push({
w: root +' '+ qAr.join(' ') +' '+ poss.w,
f: 100
});
// update proList too
proList = proList.concat(tempL)
}
}
});
}
});
}
if ((qAr.length != 1) && (proList.length < 13)) {
// get unique product ids
let unique = proList.filter((item, i, ar) => ar.indexOf(item) === i);
// credit: https://stackoverflow.com/questions/11246758/
results = [];
unique.forEach( pr => {
everyProduct.forEach( pi => {
if (pi.id == pr)
results.push(pi);
})
});
}
list(results);
}
// setup suggestions search/input control
// ---
const $tagsInput = $('#tagsInput')
$tagsInput.typeahead(
{
hint: true,
highlight: true,
minLength: 0
},
{
limit: 12,
name: 'products',
displayKey: 'w',
source: isuggest,
templates: {
suggestion: function(data) {
console.log(data.w);
if (data.id)
return '<div>'+ data.w + '<span>' + data.id + '</span></div>';
return '<div>'+ data.w +'</div>';
}
}
}
)
.bind("typeahead:selected", function(obj, datum, name) {
$('.typeahead').typeahead('val','').trigger('blur');
$('.typeahead').typeahead('val', datum.w +' ')
.trigger("query");
// give some time to the engine to calculate results
// then fire focus again...
setTimeout(() => { $('.typeahead').focus(); }, 100);
})
.bind("typeahead:cursorchange", function(obj, data) {
// console.log(obj, data);
// var dt = new Date();
// console.log('triggered cursorchange /'+dt);
});
});
</script>
</html>
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