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authorGeo Halkiadakis <gchalkiadakis@sklavenitis.co.gr>2023-03-17 13:27:27 +0200
committerGeo Halkiadakis <gchalkiadakis@sklavenitis.co.gr>2023-03-17 13:27:27 +0200
commit504732c3d35d003fd5067240b98bc35f03c8cad9 (patch)
tree21583aabf49a6a5ec59c41296c61c710d126896c /html
parent700f8d7605b823accd293f51c2bed53438ac22ac (diff)
downloadlinkeysearch-504732c3d35d003fd5067240b98bc35f03c8cad9.tar.gz
linkeysearch-504732c3d35d003fd5067240b98bc35f03c8cad9.tar.bz2
linkeysearch-504732c3d35d003fd5067240b98bc35f03c8cad9.zip
repository cloning proccess; test commit/push
Diffstat (limited to 'html')
-rw-r--r--html/search-v2.html336
-rw-r--r--html/search-v3.html422
-rw-r--r--html/search.html308
3 files changed, 1066 insertions, 0 deletions
diff --git a/html/search-v2.html b/html/search-v2.html
new file mode 100644
index 0000000..100565b
--- /dev/null
+++ b/html/search-v2.html
@@ -0,0 +1,336 @@
+<!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; }
+
+#selections { width: 87%; padding-top: 40px; }
+#selections div { padding: 4px 40px; line-height: 24px; font-size: 18px; color: #666; }
+#selections div span { padding-left: 16px; font-size: 14px; color: #999; float: right; }
+ </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>
+
+ <div id="selections">
+ </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 bi_1st = .6; // bigram minimum match score for 1st word
+var bi_2nd = .8; // bigram minimum match score for 2nd word
+
+// on document ready code /////////////////////////////////////////////////////
+$(document).ready(function() {
+
+ // suggestions engine ////////////////////////////////////////////////////
+ // ---
+ function suggestions_engine(qOrig) {
+ 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(' ',' ');
+
+ var qAr = q.split(' '); // split to words
+
+ 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) > bi_1st) ) {
+ 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) > bi_2nd) ) {
+ 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);
+ })
+ });
+ }
+ return results;
+ }
+
+ var isuggest = function(qOrig, list) {
+ var results = suggestions_engine(qOrig);
+ if (results.length == 0) {
+ var qAr = qOrig.trim().split(' ');
+ qAr.pop(); // remove last word
+ results = suggestions_engine(qAr.join(' '));
+ }
+ list(results);
+ }
+
+ // setup suggestions search/input control
+ // ---
+ const $tagsInput = $('#tagsInput')
+ $tagsInput.typeahead(
+ {
+ hint: true,
+ highlight: true,
+ minLength: 1
+ },
+ {
+ 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) {
+ console.log(datum);
+ if (datum.hasOwnProperty('id')) {
+ // final product selected; do whatever ...
+ // ex. add to selection list
+ $('#selections').append('<div>'+ datum.w + '<span>' + datum.id + '</span></div>');
+
+ // then reset search control
+ $('.typeahead').typeahead('val','').trigger('blur')
+ .trigger("query");
+ setTimeout(() => { $('.typeahead').focus(); }, 100);
+ }
+ else {
+ $('.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>
diff --git a/html/search-v3.html b/html/search-v3.html
new file mode 100644
index 0000000..35e29ca
--- /dev/null
+++ b/html/search-v3.html
@@ -0,0 +1,422 @@
+<!DOCTYPE html>
+<html lang="en">
+ <head>
+ <meta charset="utf-8">
+
+ <style>
+body { font-family: 'Cantarell', Helvetica, Arial, sans-serif; margin: 2em; }
+
+.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:hover { cursor: pointer; }
+.tt-suggestion span { padding-left: 16px; font-size: 14px; color: #777; float: right; }
+.tt-cursor { background: #ddd; }
+.tt-highlight { font-weight: normal; color: #777; }
+.tt-hint { color: #9598; }
+
+#selections { width: 87%; padding-top: 40px; }
+#selections div { padding: 4px 40px; line-height: 24px; font-size: 18px; color: #666; }
+#selections div span { padding-left: 16px; font-size: 14px; color: #999; float: right; }
+.-info- { font-size: 12px !important; color: #959 !important; line-height: 14px !important; font-family: 'JetBrains Mono NL', Consolas, Monaco, monospace, fixed !important; }
+.-info- b { font-weight: 900;}
+ </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>
+
+ <div id="selections">
+ </div>
+
+ </body>
+ <script>
+
+
+// PUBLIC VARIABLES ////////////////////////////////////////////////////////////
+
+var kwlinks; // keyword links (word-connections)
+var products; // all products
+
+var trackSearch = []; // searching analytics
+
+// setup options
+var sgLimit = 12; // limit suggestions
+var bi_1st = .65; // bigram minimum match score for 1st word
+var bi_2nd = .85; // bigram minimum match score for 2nd word
+
+
+// SUPLAMENARY FUNCTIONS ///////////////////////////////////////////////////////
+
+// 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;
+}
+
+
+function loadData() {
+ const xhttp = new XMLHttpRequest();
+ xhttp.onload = function() {
+ kwlinks = JSON.parse(this.responseText);
+ }
+ xhttp.open("GET", "results/keywords-v3.json");
+ xhttp.send();
+}
+loadData();
+
+function loadData2() {
+ const xhttp = new XMLHttpRequest();
+ xhttp.onload = function() {
+ products = 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;
+};
+
+
+
+function echo_tracking() {
+ var actions = [];
+ var c;
+ var chs = 0; // number of characters pressed;
+ var uis = 0; // number of UI actions used (arrows, enters etc.)
+ var countingStarted = false; // flag
+ trackSearch.forEach(e => {
+ switch(e.v) {
+ // use of ui actions
+ case 'ArrowDown' : c = '↓'; uis++; break;
+ case 'ArrowUp' : c = '↑'; uis++; break;
+ case 'Enter' : c = '↲ '; uis++; break;
+ case 'ArrowLeft' : c = '←'; uis++; break;
+ case 'ArrowRight': c = '→'; uis++; break;
+ case ' ' : c = '· '; uis++; break;
+ // ignored keys
+ case 'Alt' : c = 'Alt'; break;
+ case 'Control' : c = 'Ctrl'; break;
+ case 'Escape' : c = 'Esc'; break;
+ case 'Shift' : c = 'Shft'; break;
+ case 'Home' : c = 'Home'; break;
+ case 'End' : c = 'End'; break;
+ // backspace (user's typing errors)
+ case 'Backspace' : c = 'BkSp'; break;
+ case 'Delete' : c = 'Del'; break;
+ // actual typed characters
+ default:
+ if (e.v.length == 1) {
+ c = '<b><u>'+ e.v +'</u></b>';
+ chs++;
+ }
+ else { // some non important key; no counter increased
+ c = e.v; // just record the key
+ }
+ }
+ actions.push(c);
+ });
+
+ return actions.join(',') +' (<u>'+ chs +' chs</u>, '+ uis +' uis)';
+}
+
+
+// on document ready code ///////////////////////////////////////////////////////
+$(document).ready(function() {
+
+ // suggestions engine //////////////////////////////////////////////////////
+ // ---
+ function suggestions_engine(qOrig) {
+ 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(' ',' ');
+
+ var qAr = q.split(' '); // split to words
+
+ 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
+ kwlinks.forEach( it => {
+ if ( (substrRegex.test(it.kb))
+ || (checkSimilarity(it.kb, kbq) > bi_1st) ) {
+ 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');
+
+ kwlinks.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) > bi_2nd) ) {
+ 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
+
+ kwlinks.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 < (sgLimit +1)) ) {
+ // 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 => {
+ products.forEach( pi => {
+ if (pi.id == pr)
+ results.push(pi);
+ })
+ });
+ }
+ return results;
+ }
+
+ // request suggestions procedure
+ // args...
+ // qOrig: original query string
+ // list: artay structure to host results
+ // ---
+ var isuggest = function(qOrig, list) {
+ var results = suggestions_engine(qOrig);
+
+ // if no results...
+ // request again after removing last (key)word
+ if (results.length == 0) {
+ var qAr = qOrig.trim().split(' ');
+ qAr.pop(); // remove last word
+ results = suggestions_engine(qAr.join(' '));
+ }
+
+ list(results);
+ }
+
+ // setup suggestions search/input control
+ // ---
+ const $tagsInput = $('#tagsInput')
+ $tagsInput.typeahead(
+ {
+ hint: true,
+ highlight: true,
+ minLength: 1
+ },
+ {
+ limit: sgLimit,
+ name: 'kwlinks',
+ 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 +'<span>+</span></div>';
+ }
+ }
+ }
+ )
+ .bind("typeahead:selected", function(obj, datum, name) {
+ // console.log(datum);
+ if (datum.hasOwnProperty('id')) {
+ // final product selected; do whatever ...
+ // ex. add to selection list
+ $('#selections').append('<div>'+ datum.w + '<span>' + datum.id + '</span></div>');
+
+ // then reset search control
+ $('.typeahead').typeahead('val','').trigger('blur')
+ .trigger("query");
+ setTimeout(() => { $('.typeahead').focus(); }, 100);
+
+ // finaly save tracking info;
+ // $('#selections').append('<div class="-info-">'+ JSON.stringify(trackSearch) +'</div>');
+ $('#selections').append('<div class="-info-">'+ echo_tracking() +'</div>');
+ trackSearch.length = 0; // ... and reset info to be ready for nextsearch
+ }
+ else {
+ $('.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);
+ }
+ trackSearch.push({
+ e: 'key',
+ v: 'Enter',
+ i: $('#tagsInput').val()
+ });
+ })
+ .bind("typeahead:cursorchange", function(obj, data) {
+ // console.log(obj, data);
+ // var dt = new Date();
+ // console.log('triggered cursorchange /'+dt);
+ });
+
+ // TRACK user search attempt ///////////////////////////////////////////////
+ $('.typeahead').on('keyup', function(e) {
+ trackSearch.push({
+ e: 'key',
+ v: e.key,
+ i: $('#tagsInput').val()
+ });
+ });
+
+});
+ </script>
+</html>
diff --git a/html/search.html b/html/search.html
new file mode 100644
index 0000000..2a12941
--- /dev/null
+++ b/html/search.html
@@ -0,0 +1,308 @@
+<!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>