Work on UI
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Claudio Maggioni (maggicl)
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commit
12e1344e23
131
ui/index.html
131
ui/index.html
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@ -3,54 +3,137 @@
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<html>
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<head>
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<title>FoamTree Quick Start</title>
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<title>Image Search IR System - Claudio Maggioni</title>
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<meta charset="utf-8" />
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<link rel="preconnect" href="https://fonts.gstatic.com">
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<link href="https://fonts.googleapis.com/css2?family=Fira+Sans&display=swap" rel="stylesheet">
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<style>
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.document { float: left }
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* { font-size: 14px; }
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body {
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font-family: 'Fira Sans', sans-serif;
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margin: 0;
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display: flex;
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height: 100vh;
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max-height: 100vh;
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flex-direction: column;
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}
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nav { flex: 0 0; }
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main { flex: 1; display: flex; flex-grow: 1; min-height: 0 }
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#visualization {
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width: 15rem;
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padding: .25rem;
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border-radius: .125rem;
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margin-right: .5rem;
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background: #AAA;
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}
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#docs {
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flex-grow: 1;
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flex: 2;
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display: grid;
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grid-template-columns: repeat(4,1fr);
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overflow-y: scroll;
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}
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.title {
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background: #333;
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color: white;
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text-align: center;
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padding: 1rem;
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}
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.title h1 { margin: 0; font-size: 1.4rem; }
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.searchbox {
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padding: 1em;
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background: #666;
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}
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.searchbox input {
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width: calc(100% - 2em);
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}
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.document {
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float: left;
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margin: .25rem;
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background: #CCC;
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border-radius: .125rem;
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}
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.document img { width: calc(100% - 1rem); }
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.document h2 { font-size: 1.2rem; }
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.document h3 { font-size: 1.1rem; }
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.document img { margin: .5rem .5rem 0 .5rem; }
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.document h2, .document h3, .document p { margin: .25rem; };
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</style>
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</head>
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<body>
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<div id="docs"></div>
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<div id="visualization" style="width: 800px; height: 600px"></div>
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<template id="document">
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<div class="document">
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<img width="300" src="{{ url }}"/>
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<h2>{{ title }}</h2>
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<h3>By {{ author }}</h3>
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{{ description }}
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<nav>
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<div class="title">
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<h1>Image Search IR System - By Claudio Maggioni</h1>
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</div>
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</template>
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<div class="searchbox">
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<form id="form">
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<input type="text" id="q" placeholder="Search..."/>
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</form>
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</div>
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</nav>
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<main>
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<div id="visualization"></div>
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<div id="docs">
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<div style="grid-column: 1 / 5; text-align: center; padding: 2em;
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background: #CCC;">
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Input your query in the search box above and then press Enter.
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Result clustering will appear on the left sidebar.
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</div>
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</div>
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<template id="document">
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<div class="document" id="doc{{ id }}">
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<img src="{{ url }}"/>
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<h2><a href="{{ site_url }}">{{ title }}</a></h2>
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<h3>By {{ author }}</h3>
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{{ description }}
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</div>
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</template>
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</div>
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<script src="./carrotsearch.foamtree.js"></script>
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<script>
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const solr = "http://localhost:8983/solr/photo";
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window.addEventListener("load", async function() {
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const solr = "http://localhost:8983/solr/photo";
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const q = document.querySelector("#q");
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let foamtree = null;
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document.querySelector("#form").addEventListener("submit", async function(e) {
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e.preventDefault();
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let templateHTML = document.querySelector("#document").innerHTML;
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let docs = document.querySelector("#docs");
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let docMap = {}
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const doc = (docData) => {
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docMap[docData.id] = docData;
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console.log(templateHTML);
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return templateHTML
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.replace("{{ title }}", docData.t_title)
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.replace("{{ author }}", docData.t_author)
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.replace("{{ description }}", docData.t_description)
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.replace("{{ url }}", docData.img_url);
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.replaceAll("{{ id }}", docData.id)
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.replaceAll("{{ title }}", docData.t_title)
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.replaceAll("{{ author }}", docData.t_author)
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.replaceAll("{{ description }}", docData.t_description)
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.replaceAll("{{ url }}", docData.img_url)
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.replaceAll("{{ site_url }}", "#");
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};
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let list = await fetch(solr + "/clustering?q=" + escape(prompt("query")));
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let list = await fetch(solr + "/clustering?q=" + q.value);
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let body = await list.json();
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console.log(body);
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docs.innerHTML = body.response.docs.map(doc).reduce((a, b) => a + b, "");
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let clusters = body.clusters.map(e => { return { label: e.labels[0], weight:
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e.score, groups: e.docs.map(id => { return { id, label: docMap[id].t_title }; }) }; });
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var foamtree = new CarrotSearchFoamTree({
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id: "visualization",
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dataObject: {
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groups: clusters
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}
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});
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if (foamtree === null) {
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foamtree = new CarrotSearchFoamTree({
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id: "visualization",
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layout: "squarified",
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groupLabelFontFamily: "Fira Sans",
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dataObject: {
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groups: clusters
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}
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});
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} else {
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foamtree.set({ dataObject: { groups: clusters }});
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}
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});
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</script>
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</body>
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