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<!DOCTYPE html>
<html class="h-100" lang="zh-CN">
<head>
<title>ISCC选手分析器</title>
<meta charset="utf-8">
<link crossorigin="anonymous" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"
integrity="sha384-wEmeIV1mKuiNpC+IOBjI7aAzPcEZeedi5yW5f2yOq55WWLwNGmvvx4Um1vskeMj0" rel="stylesheet">
</head>
<body class="h-100 m-0">
<div class="container-fluid h-100 p-0 d-flex flex-column">
<div class="row m-0">
<nav class="navbar navbar-expand-sm navbar-light bg-light">
<a id="logo" class="navbar-brand" href="#">ISCC选手分析器</a>
<span class="navbar-text">
数据自动采集于：<span id="time"></span>
</span>
<div class="collapse navbar-collapse d-flex">
<div class="col-2 form-floating">
<input class="form-control" id="name" placeholder="用户名">
<label for="name">用户名</label>
</div>
<div class="col-2 form-floating">
<input class="form-control" id="minSimilarity" placeholder="最小相似度" type="number" min="0" max="100" value="15">
<label for="minSimilarity">最小相似度</label>
</div>
<div class="col-2 form-floating">
<input class="form-control" id="minScore" placeholder="最小成绩" type="number" min="0" value="2000">
<label for="minScore">最小成绩</label>
</div>
<div class="col-2 form-floating">
<input class="form-control" id="startTime" placeholder="起始时间" type="number" min="1651363200" max="1653494400" value="1619827200">
<label for="startTime">起始时间</label>
</div>
<div class="col-2">
<button class="col-2 form-control btn btn-outline-primary ms-1" id="analysis" type="button">寻找相似度</button>
</div>
<div class="col-2">
<button class="col-2 form-control btn btn-outline-primary ms-1" id="search" type="button">画出关系网</button>
</div>
</div>
</nav>
</div>
<div class="row m-0 flex-grow-1 d-flex flex-column">
<div class="p-0 flex-grow-1" id="cvs"></div>
</div>
</div>
<div class="modal fade" id="analysisResult" data-bs-backdrop="static" data-bs-keyboard="false" tabindex="-1">
<div class="modal-dialog">
<div class="modal-content">
<div class="modal-header">
<h5 class="modal-title">相似度匹配结果</h5>
<button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
</div>
<div class="modal-body">
<table class="table table-hover text-center">
<thead>
<tr>
<th scope="col">id</th>
<th scope="col">用户名</th>
<th scope="col">分数</th>
<th scope="col">相似度</th>
</tr>
</thead>
<tbody>
</tbody>
</table>
</div>
<div class="modal-footer">
<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Close</button>
</div>
</div>
</div>
</div>
<div class="modal fade" id="about" data-bs-backdrop="static" data-bs-keyboard="false" tabindex="-1">
<div class="modal-dialog">
<div class="modal-content">
<div class="modal-header">
<h5 class="modal-title">关于</h5>
<button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
</div>
<div class="modal-body">
<div class="container">
<div class="row">
<div class="card">
<div class="card-body">
<h5 class="card-title">ISCC选手分析器</h5>
<h6 class="card-subtitle mb-2 text-muted"><a target="_blank" href="https://www.github.com/WANkkoRee/ISCCAnalysis">WANkkoRee/ISCCAnalysis</a></h6>
<p class="card-text">一个通过python脚本采集选手提交flag情况并根据特定算法生成相似度以供web分析的项目。</p>
</div>
</div>
</div>
<div class="row">
<ol>
<li>本项目未对任何服务器进行渗透、入侵。</li>
<li>本项目算法核心为正态分布的概率密度函数。</li>
<li>本项目计算分数并不包括理论题。</li>
<li>本项目所有结果仅供参考。</li>
<li>如有侵权请<a href="mailto:[email protected]">wkr#wkr.moe</a>。</li>
</ol>
</div>
</div>
</div>
<div class="modal-footer">
<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Close</button>
</div>
</div>
</div>
</div>
<script src="https://cdn.bootcdn.net/ajax/libs/jquery/3.6.0/jquery.min.js"></script>
<script crossorigin="anonymous" integrity="sha384-IQsoLXl5PILFhosVNubq5LC7Qb9DXgDA9i+tQ8Zj3iwWAwPtgFTxbJ8NT4GN1R8p"
src="https://cdn.jsdelivr.net/npm/@popperjs/[email protected]/dist/umd/popper.min.js"></script>
<script crossorigin="anonymous" integrity="sha384-lpyLfhYuitXl2zRZ5Bn2fqnhNAKOAaM/0Kr9laMspuaMiZfGmfwRNFh8HlMy49eQ"
src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/echarts@5/dist/echarts.min.js" type="text/javascript"></script>
<!-- Uncomment this line if you want to dataTool extension
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/dist/extension/dataTool.min.js"></script>
-->
<!-- Uncomment this line if you want to use gl extension
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts-gl@2/dist/echarts-gl.min.js"></script>
-->
<!-- Uncomment this line if you want to echarts-stat extension
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts-stat@latest/dist/ecStat.min.js"></script>
-->
<!-- Uncomment this line if you want to use map
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/map/js/china.js"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/map/js/world.js"></script>
-->
<!-- Uncomment these two lines if you want to use bmap extension
<script type="text/javascript" src="https://api.map.baidu.com/api?v=2.0&ak=<Your Key Here>"></script>
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5/dist/extension/bmap.min.js"></script>
-->
<script type="text/javascript">
function normalpdf(x, μ = 0, υ = 1) {
if (υ === 0) {
return x === μ ? Infinity : 0;
}
return Math.exp(-.5 * Math.pow(x - μ, 2) / υ) / Math.sqrt(Math.PI * 2 * υ);
}
</script>
<script type="text/javascript">
var dom = document.getElementById("cvs");
var myChart = echarts.init(dom, null, {renderer: 'svg'});
var option;
var user;
var user;
var challenge;
var arena;
var finish = 0;
myChart.showLoading();
$.getJSON('./user.json', function (dddd) {
user = dddd;
finish++;
if(finish===4) myChart.hideLoading();
});
$.getJSON('./challenge.json', function (dddd) {
challenge = dddd;
finish++;
if(finish===4) myChart.hideLoading();
});
$.getJSON('./arena.json', function (dddd) {
arena = dddd;
finish++;
if(finish===4) myChart.hideLoading();
});
$.getJSON('./status.json', function (dddd) {
$('#time').text(new Date(dddd.updateTime*1000));
finish++;
if(finish===4) myChart.hideLoading();
});
function analysis(targetid) {
if (Object.keys(user[targetid]['friends']).length === 0) {
var tmpRelationship = {};
Object.keys(challenge).forEach(function (challenge_category) {
Object.keys(challenge[challenge_category]).every(function (challenge_id) {
var user_solve_date = 0;
challenge[challenge_category][challenge_id].solves.some(function (challenge_solve, index, arry) {
if (challenge_solve.id == targetid) {
if (parseInt($("#startTime").val()) <= (new Date(challenge_solve.date)).getTime() / 1000) {
user_solve_date = (new Date(challenge_solve.date)).getTime() / 1000;
return true; // some{break}
}
}
});
if (user_solve_date === 0) {
return true; // every{continue}
}
challenge[challenge_category][challenge_id].solves.forEach(function (challenge_solve) {
var challenge_solve_date = (new Date(challenge_solve.date)).getTime() / 1000;
var user_p = normalpdf(challenge_solve_date - user_solve_date, 0, 10000) * 10000;
if (!tmpRelationship[challenge_solve['id'].toString()]) {
tmpRelationship[challenge_solve['id'].toString()] = 0;
}
tmpRelationship[challenge_solve['id'].toString()] += user_p;
});
});
});
Object.keys(arena).forEach(function (arena_category) {
Object.keys(arena[arena_category]).every(function (arena_id) {
var user_solve_date = 0;
arena[arena_category][arena_id].solves.some(function (arena_solve, index, arry) {
if (arena_solve.id == targetid) {
if (parseInt($("#startTime").val()) <= (new Date(arena_solve.date)).getTime() / 1000) {
user_solve_date = (new Date(arena_solve.date)).getTime() / 1000;
return true; // some{break}
}
}
});
if (user_solve_date === 0) {
return true; // every{continue}
}
arena[arena_category][arena_id].solves.forEach(function (arena_solve) {
var arena_solve_date = (new Date(arena_solve.date)).getTime() / 1000;
var user_p = normalpdf(arena_solve_date - user_solve_date, 0, 10000) * 10000;
if (!tmpRelationship[arena_solve['id'].toString()]) {
tmpRelationship[arena_solve['id'].toString()] = 0;
}
tmpRelationship[arena_solve['id'].toString()] += user_p;
});
});
});
if (Object.keys(tmpRelationship).length === 0) {
return false;
}
tmpRelationship = Object.entries(tmpRelationship).sort(([, a], [, b]) => b - a);
var tmpSelfDegree = 100 / tmpRelationship.shift()[1];
tmpRelationship.some(function (friend, index, arry) {
if (friend[1] * tmpSelfDegree > 1) {
user[targetid]['friends'][friend[0]] = friend[1] * tmpSelfDegree;
} else {
return true; // some{break}
}
if (user[targetid]['friends'].length === 100) {
return true; // some{break}
}
});
}
return true;
}
$("#logo").click(function(){
$('#about').modal('show');
});
$("#analysis").click(function(){
$("#startTime").attr("disabled",true);
var target = $("#name").val();
Object.keys(user).some(function (id, index, arry) {
if (user[id].name === target) {
analysis(id);
$("#analysisResult tbody").html('');
$("#analysisResult tbody").append(
'<tr>' +
`<th>${id}</th>` +
`<td><a href="https://iscc.isclab.org.cn/team/${id}">${user[id].name}</a></td>` +
`<td>${user[id].score}</td>` +
`<td>${Math.round(100 * 100) / 100} %</td>` +
'</tr>'
);
Object.entries(user[id].friends).sort(([, a], [, b]) => b - a).forEach(function (friend) {
$("#analysisResult tbody").append(
'<tr>' +
`<th>${friend[0]}</th>` +
`<td><a target="_blank" href="https://iscc.isclab.org.cn/team/${friend[0]}">${user[friend[0]].name}</a></td>` +
`<td>${user[friend[0]].score}</td>` +
`<td>${Math.round(friend[1] * 100) / 100} %</td>` +
'</tr>'
);
});
$('#analysisResult').modal('show');
return true; // some{break}
}
});
});
$("#search").click(function () {
$("#startTime").attr("disabled",true);
myChart.showLoading();
var target = $("#name").val();
var graph = {
nodes: [],
links: [],
categories: [
{"name": "大学生赛区"},
{"name": "河南赛区"},
{"name": "广西赛区"},
{"name": "中小学生赛区"},
{"name": "研究生赛区"}
]
};
var relations = [];
function search(id) {
if (relations.includes(id)) {
return;
}
relations.push(id);
console.log(user[id].name);
graph.nodes.push({
"id": id,
"name": user[id].name,
"symbolSize": user[id].score / 500,
"value": user[id].score,
"category": (user[id].name.toUpperCase().startsWith("HN-")) ? 1 : (user[id].name.toUpperCase().startsWith("GX-")) ? 2 : (user[id].name.toUpperCase().startsWith("NYCC-")) ? 3 : (user[id].name.toUpperCase().startsWith("GRD-")) ? 4 : 0
});
analysis(id);
Object.keys(user[id].friends).forEach(function (friend) {
if (user[id].friends[friend] > Number($("#minSimilarity").val()) && user[friend].score >= Number($("#minScore").val()) && analysis(friend) && !!user[friend].friends[id]) {
graph.links.push({
"source": id,
"target": friend
});
search(friend);
}
});
}
Object.keys(user).some(function (id, index, arry) {
if (user[id].name === target) {
search(id);
return true; // some{break}
}
});
option = {
tooltip: {},
legend: [{
data: graph.categories.map(function (a) {
return a.name;
})
}],
series: [
{
name: 'ISCCAnalsis',
type: 'graph',
layout: 'force',
data: graph.nodes,
links: graph.links,
categories: graph.categories,
roam: true,
label: {
show: true,
position: 'right',
formatter: '{b}'
},
labelLayout: {
hideOverlap: true
},
scaleLimit: {
min: 0.1,
max: 20
},
lineStyle: {
color: 'source',
curveness: 0.3
}
}
]
};
myChart.hideLoading();
myChart.setOption(option);
});
</script>
</body>
</html>