mirror of
https://github.com/McShelby/hugo-theme-relearn.git
synced 2025-01-19 03:10:24 +00:00
114 lines
4 KiB
HTML
114 lines
4 KiB
HTML
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<div class="searchbox">
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<label for="search-by"><i class="fa fa-search"></i></label>
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<input id="search-by" type="text" placeholder="Search Documentation">
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<span data-search-clear=""><i class="fa fa-close"></i></span>
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</div>
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<script type="text/javascript" src="/js/lunr.min.js"></script>
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<script type="text/javascript" src="/js/horsey.js"></script>
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<script type="text/javascript">
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var lunrIndex,
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pagesIndex;
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// Initialize lunrjs using our generated index file
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function initLunr() {
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// First retrieve the index file
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$.getJSON("/json/search.json")
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.done(function(index) {
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pagesIndex = index;
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console.log("index:", pagesIndex);
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// Set up lunrjs by declaring the fields we use
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// Also provide their boost level for the ranking
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lunrIndex = lunr(function() {
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this.field("title", {
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boost: 15
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});
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this.field("tags", {
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boost: 10
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});
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this.field("content", {
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boost: 5
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});
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// ref is the result item identifier (I chose the page URL)
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this.ref("uri");
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});
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// Feed lunr with each file and let lunr actually index them
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pagesIndex.forEach(function(page) {
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lunrIndex.add(page);
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});
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})
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.fail(function(jqxhr, textStatus, error) {
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var err = textStatus + ", " + error;
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console.error("Error getting Hugo index flie:", err);
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});
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}
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/**
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* Trigger a search in lunr and transform the result
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*
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* @param {String} query
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* @return {Array} results
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*/
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function search(query) {
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// Find the item in our index corresponding to the lunr one to have more info
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// Lunr result:
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// {ref: "/section/page1", score: 0.2725657778206127}
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// Our result:
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// {title:"Page1", href:"/section/page1", ...}
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return lunrIndex.search(query).map(function(result) {
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return pagesIndex.filter(function(page) {
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return page.uri === result.ref;
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})[0];
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});
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}
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// Let's get started
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initLunr();
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$( document ).ready(function() {
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horsey($("#search-by").get(0), {
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suggestions: function (value, done) {
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var query = $("#search-by").val();
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if (query.length < 3) {
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done([]);
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} else {
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var results = search(query);
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console.log(results);
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done(results);
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}
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},
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filter: function (q, suggestion) {
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return true;
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},
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set: function (value) {
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location.href=value.href;
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},
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render: function (li, suggestion) {
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var uri = suggestion.uri.substring(1,suggestion.uri.length);
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var indexOfIndex = uri.lastIndexOf("/index");
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if (indexOfIndex == -1) {
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indexOfIndex = uri.length;
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}
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var href = uri.substring(uri.indexOf("/"), indexOfIndex);
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suggestion.href = href;
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var query = $("#search-by").val();
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var numWords = 2;
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var text = suggestion.content.match("(?:\\s?(?:[\\w]+)\\s?){"+numWords+"}"+query+"(?:\\s?(?:[\\w]+)\\s?){"+numWords+"}");
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suggestion.context = text;
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var image = '<div>' + '» ' + suggestion.title + '</div><div style="font-size:12px">' + suggestion.context +'</div>';
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li.innerHTML = image;
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},
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limit: 10
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});
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$("#search-by").on("horsey-selected", function (a, b){
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console.log(a);
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console.log(a);
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});
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});
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</script>
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