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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>MS Teams Analytics Platform — Demo</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;600&display=swap" rel="stylesheet">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/chart.umd.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/d3@7/dist/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/dompurify/3.0.3/purify.min.js"></script>
<style>
:root {
--bg: #0a0f1c; --bg-s: #111827; --bg-c: #151e2d;
--accent: #00d4ff; --green: #00e5a0; --purple: #845EC2;
--warn: #F7DF1E; --red: #FF6B6B; --orange: #F6821F;
--border: rgba(0,212,255,.12); --text: #e2e8f0; --muted: #7a8ba0;
--font: 'Inter',sans-serif; --mono: 'JetBrains Mono',monospace;
}
*{box-sizing:border-box;margin:0;padding:0}
body{background:var(--bg);color:var(--text);font-family:var(--font);min-height:100vh;overflow-x:hidden}
/* ── Header ── */
.hdr{background:linear-gradient(135deg,#0d1321 0%,#111827 100%);border-bottom:1px solid var(--border);padding:.75rem 1.5rem;display:flex;align-items:center;justify-content:space-between;position:sticky;top:0;z-index:100;backdrop-filter:blur(10px)}
.hdr-brand{display:flex;align-items:center;gap:.75rem}
.hdr-icon{width:36px;height:36px;background:linear-gradient(135deg,#0078D4,#00d4ff);border-radius:8px;display:flex;align-items:center;justify-content:center;font-size:.9rem;color:#fff}
.hdr-title{font-size:.95rem;font-weight:700;color:var(--text)}
.hdr-sub{font-size:.7rem;color:var(--muted)}
.hdr-badges{display:flex;gap:.5rem;align-items:center}
.badge{font-size:.65rem;font-family:var(--mono);padding:.2rem .5rem;border-radius:10px;font-weight:600}
.badge-live{background:rgba(0,229,160,.12);border:1px solid rgba(0,229,160,.3);color:var(--green)}
.badge-tech{background:rgba(0,212,255,.1);border:1px solid rgba(0,212,255,.25);color:var(--accent)}
/* ── Tabs ── */
.tabs{display:flex;gap:0;border-bottom:1px solid var(--border);background:var(--bg-s);padding:0 1.5rem;overflow-x:auto}
.tab{padding:.65rem 1.1rem;font-size:.8rem;font-weight:600;color:var(--muted);cursor:pointer;border-bottom:2px solid transparent;transition:all .2s;white-space:nowrap;display:flex;align-items:center;gap:.4rem}
.tab:hover{color:var(--text)}
.tab.active{color:var(--accent);border-bottom-color:var(--accent)}
.tab i{font-size:.75rem}
/* ── Layout ── */
.page{display:none;padding:1.25rem 1.5rem;animation:fadeIn .25s ease}
.page.active{display:block}
@keyframes fadeIn{from{opacity:0;transform:translateY(6px)}to{opacity:1;transform:none}}
.grid2{display:grid;grid-template-columns:1fr 1fr;gap:1rem}
.grid3{display:grid;grid-template-columns:1fr 1fr 1fr;gap:1rem}
.grid4{display:grid;grid-template-columns:repeat(4,1fr);gap:.75rem}
/* ── Cards ── */
.card{background:var(--bg-c);border:1px solid var(--border);border-radius:14px;padding:1rem 1.1rem}
.card-title{font-size:.75rem;font-weight:700;color:var(--muted);text-transform:uppercase;letter-spacing:.06em;margin-bottom:.75rem;display:flex;align-items:center;gap:.4rem}
.card-title i{color:var(--accent)}
.kpi{display:flex;flex-direction:column;gap:.2rem}
.kpi-val{font-size:1.9rem;font-weight:700;font-family:var(--mono);color:var(--text);line-height:1}
.kpi-label{font-size:.7rem;color:var(--muted)}
.kpi-delta{font-size:.72rem;font-weight:600;display:flex;align-items:center;gap:.2rem;margin-top:.15rem}
.kpi-delta.up{color:var(--green)} .kpi-delta.down{color:var(--red)}
.chart-wrap{position:relative;height:200px}
.chart-wrap.tall{height:260px}
.chart-wrap.sm{height:160px}
/* ── NLP Domains ── */
.domain-bar{display:flex;align-items:center;gap:.65rem;margin-bottom:.45rem}
.domain-name{font-size:.73rem;color:var(--text);width:130px;flex-shrink:0;font-family:var(--mono)}
.domain-track{flex:1;height:8px;background:rgba(255,255,255,.06);border-radius:4px;overflow:hidden}
.domain-fill{height:100%;border-radius:4px;transition:width .8s cubic-bezier(.4,0,.2,1)}
.domain-pct{font-size:.7rem;color:var(--muted);font-family:var(--mono);width:35px;text-align:right}
/* ── Meeting cards ── */
.meeting{background:rgba(255,255,255,.03);border:1px solid var(--border);border-radius:10px;padding:.85rem 1rem;margin-bottom:.65rem;transition:border-color .2s}
.meeting:hover{border-color:rgba(0,212,255,.3)}
.meeting-title{font-size:.82rem;font-weight:600;color:var(--text);margin-bottom:.3rem}
.meeting-meta{font-size:.7rem;color:var(--muted);display:flex;gap:.75rem;margin-bottom:.5rem}
.meeting-tag{font-size:.65rem;padding:.15rem .45rem;border-radius:6px;font-family:var(--mono);font-weight:600}
.tag-blue{background:rgba(0,120,212,.15);color:#60b4ff;border:1px solid rgba(0,120,212,.3)}
.tag-green{background:rgba(0,229,160,.1);color:var(--green);border:1px solid rgba(0,229,160,.25)}
.tag-orange{background:rgba(246,130,31,.1);color:var(--orange);border:1px solid rgba(246,130,31,.25)}
.tag-purple{background:rgba(132,92,194,.12);color:#c084fc;border:1px solid rgba(132,92,194,.3)}
.meeting-summary{font-size:.77rem;color:#94a3b8;line-height:1.55}
.action-item{font-size:.73rem;color:var(--text);display:flex;align-items:flex-start;gap:.4rem;margin-top:.3rem}
.action-item::before{content:"→";color:var(--accent);flex-shrink:0;margin-top:.05rem}
/* ── SQL query box ── */
.sql-box{background:#0d1321;border:1px solid rgba(0,212,255,.15);border-radius:10px;padding:.75rem 1rem;font-family:var(--mono);font-size:.78rem;color:#94a3b8;line-height:1.7;white-space:pre-wrap;min-height:80px}
.sql-keyword{color:var(--accent)}
.sql-string{color:var(--green)}
.sql-comment{color:var(--muted)}
.nl-input{width:100%;background:rgba(255,255,255,.04);border:1px solid var(--border);border-radius:8px;padding:.55rem .8rem;color:var(--text);font-size:.82rem;font-family:var(--font);outline:none;transition:border-color .2s}
.nl-input:focus{border-color:rgba(0,212,255,.45)}
.btn{display:inline-flex;align-items:center;gap:.4rem;padding:.4rem .9rem;border-radius:8px;font-size:.78rem;font-weight:600;cursor:pointer;border:none;transition:all .18s}
.btn-primary{background:rgba(0,120,212,.25);border:1px solid rgba(0,120,212,.45);color:var(--accent)}
.btn-primary:hover{background:rgba(0,120,212,.45)}
.btn-primary:disabled{opacity:.4;cursor:not-allowed}
.btn-sm{padding:.28rem .65rem;font-size:.72rem}
.result-table{width:100%;border-collapse:collapse;font-size:.75rem;font-family:var(--mono);margin-top:.65rem}
.result-table th{background:rgba(0,212,255,.07);color:var(--accent);padding:.4rem .65rem;text-align:left;border-bottom:1px solid var(--border)}
.result-table td{padding:.35rem .65rem;border-bottom:1px solid rgba(255,255,255,.04);color:#94a3b8}
.result-table tr:hover td{background:rgba(255,255,255,.02)}
/* ── Forecast ── */
.model-pill{display:inline-flex;align-items:center;gap:.3rem;background:rgba(0,212,255,.07);border:1px solid rgba(0,212,255,.2);border-radius:8px;padding:.25rem .6rem;font-size:.7rem;font-family:var(--mono);color:var(--accent);cursor:pointer;transition:all .18s;margin:.2rem}
.model-pill:hover,.model-pill.sel{background:rgba(0,212,255,.2);border-color:rgba(0,212,255,.5)}
.model-pill.sel{color:#fff}
.accuracy-row{display:flex;align-items:center;gap:.75rem;padding:.4rem 0;border-bottom:1px solid rgba(255,255,255,.04)}
.acc-model{font-size:.75rem;font-family:var(--mono);color:var(--text);width:80px}
.acc-bar-wrap{flex:1;height:6px;background:rgba(255,255,255,.06);border-radius:3px;overflow:hidden}
.acc-bar{height:100%;border-radius:3px}
.acc-val{font-size:.72rem;font-family:var(--mono);color:var(--muted);width:45px;text-align:right}
/* ── Sentiment chip row ── */
.sentiment-row{display:flex;gap:.5rem;flex-wrap:wrap;margin-bottom:.65rem}
.sentiment-chip{font-size:.72rem;padding:.2rem .6rem;border-radius:10px;font-weight:600}
/* ── Scrollbar ── */
::-webkit-scrollbar{width:5px;height:5px}
::-webkit-scrollbar-track{background:transparent}
::-webkit-scrollbar-thumb{background:rgba(0,212,255,.2);border-radius:3px}
/* ── Spinner ── */
.spin{display:inline-block;width:14px;height:14px;border:2px solid rgba(0,212,255,.2);border-top-color:var(--accent);border-radius:50%;animation:spin .7s linear infinite}
@keyframes spin{to{transform:rotate(360deg)}}
@media(max-width:900px){.grid4{grid-template-columns:1fr 1fr}.grid3{grid-template-columns:1fr 1fr}.grid2{grid-template-columns:1fr}}
@media(max-width:600px){.grid4{grid-template-columns:1fr}.grid3{grid-template-columns:1fr}}
</style>
</head>
<body>
<!-- Header -->
<div class="hdr">
<div class="hdr-brand">
<div class="hdr-icon"><i class="fab fa-microsoft"></i></div>
<div>
<div class="hdr-title">MS Teams Analytics Platform</div>
<div class="hdr-sub">15-Domain NLP · DuckDB · D3.js · Forecast Engine</div>
</div>
</div>
<div class="hdr-badges">
<span class="badge badge-live"><i class="fas fa-circle" style="font-size:.5rem"></i> Live Demo</span>
<span class="badge badge-tech">Python · TypeScript · DuckDB</span>
<span class="badge badge-tech">NLP · D3.js · Prophet</span>
<a href="https://github.com/BrackenW3/MS-Teams-App" target="_blank" rel="noopener noreferrer" style="color:var(--muted);font-size:.85rem;transition:color .2s" onmouseover="this.style.color='var(--accent)'" onmouseout="this.style.color='var(--muted)'"><i class="fab fa-github"></i></a>
</div>
</div>
<!-- Tabs -->
<div class="tabs">
<div class="tab active" onclick="switchTab('dashboard',this)"><i class="fas fa-chart-line"></i> Dashboard</div>
<div class="tab" onclick="switchTab('nlp',this)"><i class="fas fa-brain"></i> NLP Analytics</div>
<div class="tab" onclick="switchTab('meetings',this)"><i class="fas fa-users"></i> Meetings + DuckDB</div>
<div class="tab" onclick="switchTab('forecast',this)"><i class="fas fa-wave-square"></i> Forecast Engine</div>
</div>
<!-- ══════════════════════════════════════════════ TAB 1: DASHBOARD ══ -->
<div id="tab-dashboard" class="page active">
<div class="grid4" style="margin-bottom:1rem">
<div class="card kpi" id="kpi1">
<div class="kpi-label">Avg Messages / Day</div>
<div class="kpi-val" style="color:var(--accent)">4,287</div>
<div class="kpi-delta up"><i class="fas fa-arrow-up"></i> +12.4% vs last month</div>
</div>
<div class="card kpi">
<div class="kpi-label">Active Users (30d)</div>
<div class="kpi-val" style="color:var(--green)">847</div>
<div class="kpi-delta up"><i class="fas fa-arrow-up"></i> +8.1% growth</div>
</div>
<div class="card kpi">
<div class="kpi-label">NLP Classifier Accuracy</div>
<div class="kpi-val" style="color:var(--purple)">94.2%</div>
<div class="kpi-delta up"><i class="fas fa-arrow-up"></i> 15 domains</div>
</div>
<div class="card kpi">
<div class="kpi-label">Meetings Analyzed</div>
<div class="kpi-val" style="color:var(--orange)">1,203</div>
<div class="kpi-delta up"><i class="fas fa-arrow-up"></i> +23% this quarter</div>
</div>
</div>
<div class="grid2" style="margin-bottom:1rem">
<div class="card">
<div class="card-title"><i class="fas fa-chart-area"></i> Daily Message Volume — 90 Days</div>
<div class="chart-wrap tall"><canvas id="msgVolumeChart"></canvas></div>
</div>
<div class="card">
<div class="card-title"><i class="fas fa-network-wired"></i> Channel Activity Distribution</div>
<div class="chart-wrap tall"><canvas id="channelChart"></canvas></div>
</div>
</div>
<div class="grid3">
<div class="card">
<div class="card-title"><i class="fas fa-clock"></i> Peak Hours Heatmap</div>
<div id="heatmap-wrap" style="overflow:auto"></div>
</div>
<div class="card">
<div class="card-title"><i class="fas fa-user-friends"></i> Top Contributors</div>
<div id="top-users"></div>
</div>
<div class="card">
<div class="card-title"><i class="fas fa-tags"></i> Message Categories (NLP)</div>
<div class="chart-wrap sm"><canvas id="catChart"></canvas></div>
</div>
</div>
</div>
<!-- ══════════════════════════════════════════════ TAB 2: NLP ══ -->
<div id="tab-nlp" class="page">
<div class="grid2" style="margin-bottom:1rem">
<div class="card">
<div class="card-title"><i class="fas fa-sitemap"></i> 15-Domain Classification Confidence</div>
<div id="nlp-domains" style="margin-top:.25rem"></div>
</div>
<div class="card">
<div class="card-title"><i class="fas fa-chart-bar"></i> Classification Volume by Domain</div>
<div class="chart-wrap tall"><canvas id="nlpVolumeChart"></canvas></div>
</div>
</div>
<div class="grid2">
<div class="card">
<div class="card-title"><i class="fas fa-smile"></i> Sentiment Analysis — 30 Day Trend</div>
<div class="sentiment-row" id="sentiment-summary"></div>
<div class="chart-wrap"><canvas id="sentimentChart"></canvas></div>
</div>
<div class="card">
<div class="card-title"><i class="fas fa-project-diagram"></i> NLP Pipeline Architecture</div>
<svg id="pipeline-svg" width="100%" height="200"></svg>
</div>
</div>
</div>
<!-- ══════════════════════════════════════════════ TAB 3: MEETINGS + DUCKDB ══ -->
<div id="tab-meetings" class="page">
<div class="grid2" style="margin-bottom:1rem">
<div>
<div class="card" style="margin-bottom:1rem">
<div class="card-title"><i class="fas fa-database"></i> Natural Language → DuckDB SQL
<span style="margin-left:auto;font-size:.65rem;color:var(--green);font-family:var(--mono)">AI-powered · sqlcoder</span>
</div>
<div style="display:flex;gap:.5rem;margin-bottom:.65rem">
<input id="nl-query" class="nl-input" placeholder='e.g. "Show meetings with more than 5 action items last week"' value="Show top 5 channels by message volume this month" aria-label="Natural language query input">
<button class="btn btn-primary" id="nl-btn" onclick="runNLQuery()"><i class="fas fa-magic"></i> Generate</button>
</div>
<div style="font-size:.7rem;color:var(--muted);margin-bottom:.4rem">Generated SQL:</div>
<div class="sql-box" id="sql-output"><span style="color:var(--muted);font-style:italic">Click Generate to convert natural language to SQL…</span></div>
<div style="margin-top:.65rem">
<button class="btn btn-primary btn-sm" id="run-btn" onclick="runSQL()" disabled><i class="fas fa-play"></i> Run Query</button>
<span id="query-status" style="font-size:.7rem;color:var(--muted);margin-left:.5rem"></span>
</div>
<div id="query-results"></div>
</div>
<div class="card">
<div class="card-title"><i class="fas fa-chart-pie"></i> Meeting Duration Distribution</div>
<div class="chart-wrap sm"><canvas id="durationChart"></canvas></div>
</div>
</div>
<div>
<div class="card-title" style="font-size:.75rem;font-weight:700;color:var(--muted);text-transform:uppercase;letter-spacing:.06em;margin-bottom:.6rem;padding:.2rem 0">
<i class="fas fa-scroll" style="color:var(--accent)"></i> Recent Meeting Summaries
</div>
<div id="meeting-list"></div>
</div>
</div>
</div>
<!-- ══════════════════════════════════════════════ TAB 4: FORECAST ══ -->
<div id="tab-forecast" class="page">
<div style="display:flex;align-items:center;gap:.65rem;margin-bottom:1rem;flex-wrap:wrap">
<span style="font-size:.78rem;color:var(--muted)">Active model:</span>
<div id="model-pills"></div>
<span style="font-size:.7rem;font-family:var(--mono);color:var(--muted);margin-left:auto" id="forecast-mape"></span>
</div>
<div class="grid2" style="margin-bottom:1rem">
<div class="card">
<div class="card-title"><i class="fas fa-chart-line"></i> 30-Day Message Volume Forecast</div>
<div class="chart-wrap tall"><canvas id="forecastChart"></canvas></div>
</div>
<div class="card">
<div class="card-title"><i class="fas fa-layer-group"></i> Decomposition: Trend + Seasonality</div>
<div class="chart-wrap tall"><canvas id="decompositionChart"></canvas></div>
</div>
</div>
<div class="grid3">
<div class="card">
<div class="card-title"><i class="fas fa-trophy"></i> Model Accuracy (MAPE)</div>
<div id="accuracy-list" style="padding-top:.25rem"></div>
</div>
<div class="card">
<div class="card-title"><i class="fas fa-chart-bar"></i> Weekly Seasonality Pattern</div>
<div class="chart-wrap sm"><canvas id="seasonChart"></canvas></div>
</div>
<div class="card">
<div class="card-title"><i class="fas fa-exclamation-triangle"></i> Anomaly Detection</div>
<div id="anomaly-list" style="padding-top:.25rem"></div>
</div>
</div>
</div>
<script>
'use strict';
// ── Security ─────────────────────────────────────────────────────────────────
function safeSetHTML(element, htmlStr) {
if (!element) return;
const fragment = DOMPurify.sanitize(htmlStr, { RETURN_DOM_FRAGMENT: true });
element.replaceChildren(fragment);
}
Chart.defaults.color = '#7a8ba0';
Chart.defaults.borderColor = 'rgba(0,212,255,.08)';
Chart.defaults.font.family = "'Inter', sans-serif";
// ── Palette ──────────────────────────────────────────────────────────────────
const C = {
accent:'#00d4ff', green:'#00e5a0', purple:'#845EC2',
orange:'#F6821F', warn:'#F7DF1E', red:'#FF6B6B',
blue:'#0078D4', teal:'#00B4D8',
a:(c,o=.18)=>c.replace('#','').match(/.{2}/g).map(x=>parseInt(x,16)).reduce((a,v,i)=>a+(i===3?`${o})`:`${v},`),'rgba(')
};
function rgba(hex,a){const[r,g,b]=hex.replace('#','').match(/.{2}/g).map(x=>parseInt(x,16));return`rgba(${r},${g},${b},${a})`}
// ── Synthetic Data ────────────────────────────────────────────────────────────
function seed(s){let x=s;return()=>{x=Math.sin(x)*10000;return x-Math.floor(x)}}
const rng=seed(42);
const rand=(a,b)=>a+rng()*(b-a);
const randInt=(a,b)=>Math.round(rand(a,b));
// 90 days of message data with trend + weekly seasonality
function genMsgVolume(){
const arr=[];
let base=3800;
for(let i=0;i<90;i++){
const weekday=i%7;
const wd=[0.55,1.0,1.05,1.08,1.03,0.75,0.45][weekday];
const trend=base+(i/90)*600;
base+=rand(-15,20);
arr.push(Math.round(trend*wd*(0.88+rng()*0.24)));
}
return arr;
}
const msgData=genMsgVolume();
const days90=[...Array(90)].map((_,i)=>{const d=new Date(2026,0,1);d.setDate(d.getDate()+i);return d.toLocaleDateString('en',{month:'short',day:'numeric'})});
// NLP domains
const DOMAINS=[
{name:'Technical Support',vol:4820,conf:97.1,color:C.accent},
{name:'Project Updates',vol:3940,conf:95.3,color:C.green},
{name:'Scheduling',vol:3210,conf:96.8,color:C.blue},
{name:'Code Review',vol:2870,conf:93.4,color:C.purple},
{name:'Bug Reports',vol:2340,conf:94.7,color:C.orange},
{name:'Announcements',vol:2100,conf:98.2,color:'#F7DF1E'},
{name:'Sales Pipeline',vol:1890,conf:91.6,color:C.teal},
{name:'HR & Onboarding',vol:1650,conf:93.1,color:'#e879f9'},
{name:'Finance Queries',vol:1420,conf:92.8,color:'#fb923c'},
{name:'Security Alerts',vol:980,conf:97.9,color:C.red},
{name:'DevOps/CI-CD',vol:870,conf:95.5,color:'#38bdf8'},
{name:'Customer Feedback',vol:760,conf:90.3,color:'#a3e635'},
{name:'Knowledge Base',vol:640,conf:89.7,color:'#818cf8'},
{name:'Compliance',vol:520,conf:96.1,color:'#f472b6'},
{name:'General Chat',vol:8200,conf:88.4,color:C.muted||'#64748b'},
];
// ── Tab switching ─────────────────────────────────────────────────────────────
const rendered={};
function switchTab(id,el){
document.querySelectorAll('.tab').forEach(t=>t.classList.remove('active'));
document.querySelectorAll('.page').forEach(p=>p.classList.remove('active'));
el.classList.add('active');
document.getElementById('tab-'+id).classList.add('active');
if(!rendered[id]){rendered[id]=true;setTimeout(()=>initTab(id),50)}
}
function initTab(id){
if(id==='nlp') initNLP();
if(id==='meetings') initMeetings();
if(id==='forecast') initForecast();
}
// ── TAB 1: Dashboard ──────────────────────────────────────────────────────────
(function initDashboard(){
// Message volume chart
const ctx1=document.getElementById('msgVolumeChart').getContext('2d');
const grad=ctx1.createLinearGradient(0,0,0,260);
grad.addColorStop(0,rgba(C.accent,.32));
grad.addColorStop(1,rgba(C.accent,0));
new Chart(ctx1,{type:'line',data:{
labels:days90.filter((_,i)=>i%5===0),
datasets:[{
label:'Messages',
data:msgData.filter((_,i)=>i%5===0),
borderColor:C.accent,borderWidth:2,pointRadius:0,
fill:true,backgroundColor:grad,tension:.45
}]
},options:{responsive:true,maintainAspectRatio:false,plugins:{legend:{display:false},tooltip:{mode:'index'}},scales:{x:{grid:{display:false},ticks:{maxTicksLimit:8}},y:{grid:{color:'rgba(255,255,255,.04)'}}}}});
// Channel donut
const channels=['General','Engineering','Product','Sales','DevOps','HR','Finance','Support'];
const chVols=[18,22,16,13,11,7,6,7];
const chColors=[C.accent,C.green,C.purple,C.orange,C.teal,'#e879f9','#fb923c',C.red];
new Chart(document.getElementById('channelChart'),{type:'doughnut',data:{
labels:channels,
datasets:[{data:chVols,backgroundColor:chColors.map(c=>rgba(c,.75)),borderColor:chColors,borderWidth:1.5,hoverOffset:8}]
},options:{responsive:true,maintainAspectRatio:false,plugins:{legend:{position:'right',labels:{font:{size:11},padding:12,boxWidth:12}}}}});
// Peak hours heatmap (D3)
const svgW=document.getElementById('heatmap-wrap').clientWidth||320;
const hours=Array.from({length:24},(_,i)=>i);
const wdays=['Mon','Tue','Wed','Thu','Fri','Sat','Sun'];
const cellW=Math.floor((svgW-36)/24), cellH=18;
const hmData=[];
wdays.forEach((d,di)=>hours.forEach(h=>{
const wd=di<5?1:.3;
const peak=(h>=9&&h<=17)?1:.2+(h===8||h===18?.3:0);
hmData.push({d,h,v:Math.round(rand(20,300)*wd*peak)});
}));
const svgH=wdays.length*cellH+40;
const svg=d3.select('#heatmap-wrap').append('svg').attr('width',svgW).attr('height',svgH);
const colorScale=d3.scaleSequential([0,300],d3.interpolate('#0d1321','#00d4ff'));
svg.selectAll('rect').data(hmData).enter().append('rect')
.attr('x',d=>36+d.h*cellW).attr('y',d=>wdays.indexOf(d.d)*cellH+16)
.attr('width',cellW-1).attr('height',cellH-1).attr('rx',2)
.attr('fill',d=>colorScale(d.v)).append('title').text(d=>`${d.d} ${d.h}:00 — ${d.v} msgs`);
svg.selectAll('.hlbl').data(hours.filter(h=>h%4===0)).enter().append('text')
.attr('class','hlbl').attr('x',h=>36+h*cellW+cellW/2).attr('y',13)
.attr('text-anchor','middle').attr('font-size',9).attr('fill','#7a8ba0').text(h=>`${h}h`);
svg.selectAll('.dlbl').data(wdays).enter().append('text')
.attr('x',30).attr('y',(_,i)=>i*cellH+16+cellH/2+4)
.attr('text-anchor','end').attr('font-size',9).attr('fill','#7a8ba0').text(d=>d);
// Top users
const users=[['A. Chen',1842,'Engineering'],['M. Patel',1634,'Product'],['S. Kim',1521,'DevOps'],['J. Rivera',1388,'Sales'],['T. Nguyen',1241,'Engineering']];
const maxU=users[0][1];
safeSetHTML(document.getElementById('top-users'), users.map(([n,c,t])=>`
<div style="margin-bottom:.55rem">
<div style="display:flex;justify-content:space-between;font-size:.76rem;margin-bottom:.22rem">
<span style="color:var(--text)">${n}</span>
<span style="color:var(--muted);font-family:var(--mono)">${c.toLocaleString()}</span>
</div>
<div style="height:5px;background:rgba(255,255,255,.05);border-radius:3px;overflow:hidden">
<div style="height:100%;width:${(c/maxU*100).toFixed(1)}%;background:linear-gradient(90deg,var(--accent),var(--green));border-radius:3px"></div>
</div>
<div style="font-size:.65rem;color:var(--muted);margin-top:.1rem">${t}</div>
</div>`).join(''));
// Category doughnut
const topCats=DOMAINS.slice(0,6);
new Chart(document.getElementById('catChart'),{type:'doughnut',data:{
labels:topCats.map(d=>d.name),
datasets:[{data:topCats.map(d=>d.vol),backgroundColor:topCats.map(d=>rgba(d.color,.7)),borderColor:topCats.map(d=>d.color),borderWidth:1.5}]
},options:{responsive:true,maintainAspectRatio:false,plugins:{legend:{position:'right',labels:{font:{size:10},padding:8,boxWidth:10}}}}});
})();
// ── TAB 2: NLP ────────────────────────────────────────────────────────────────
function initNLP(){
// Domain bars
const maxV=Math.max(...DOMAINS.map(d=>d.vol));
safeSetHTML(document.getElementById('nlp-domains'), DOMAINS.map(d=>`
<div class="domain-bar">
<div class="domain-name">${d.name}</div>
<div class="domain-track"><div class="domain-fill" style="width:${(d.conf/100*100).toFixed(0)}%;background:linear-gradient(90deg,${d.color},${d.color}99)"></div></div>
<div class="domain-pct">${d.conf}%</div>
</div>`).join(''));
// NLP volume horizontal bar
const sorted=[...DOMAINS].sort((a,b)=>b.vol-a.vol).slice(0,10);
new Chart(document.getElementById('nlpVolumeChart'),{type:'bar',data:{
labels:sorted.map(d=>d.name),
datasets:[{label:'Messages Classified',data:sorted.map(d=>d.vol),backgroundColor:sorted.map(d=>rgba(d.color,.7)),borderColor:sorted.map(d=>d.color),borderWidth:1.5,borderRadius:5}]
},options:{indexAxis:'y',responsive:true,maintainAspectRatio:false,plugins:{legend:{display:false}},scales:{x:{grid:{color:'rgba(255,255,255,.04)'}},y:{grid:{display:false},ticks:{font:{size:11}}}}}});
// Sentiment
const sentData={Positive:38,Neutral:44,Negative:11,Urgent:7};
const sColors={Positive:C.green,Neutral:C.accent,Negative:C.red,Urgent:C.orange};
safeSetHTML(document.getElementById('sentiment-summary'), Object.entries(sentData).map(([k,v])=>`
<span class="sentiment-chip" style="background:${rgba(sColors[k],.12)};color:${sColors[k]};border:1px solid ${rgba(sColors[k],.3)}">${k} ${v}%</span>`).join(''));
const sentWeeks=['W1','W2','W3','W4'];
new Chart(document.getElementById('sentimentChart'),{type:'bar',data:{
labels:sentWeeks,
datasets:[
{label:'Positive',data:[35,39,40,38],backgroundColor:rgba(C.green,.6),borderColor:C.green,borderWidth:1.5,borderRadius:4},
{label:'Neutral',data:[46,43,42,44],backgroundColor:rgba(C.accent,.4),borderColor:C.accent,borderWidth:1.5,borderRadius:4},
{label:'Negative',data:[13,11,10,11],backgroundColor:rgba(C.red,.6),borderColor:C.red,borderWidth:1.5,borderRadius:4},
{label:'Urgent',data:[6,7,8,7],backgroundColor:rgba(C.orange,.6),borderColor:C.orange,borderWidth:1.5,borderRadius:4},
]
},options:{responsive:true,maintainAspectRatio:false,plugins:{legend:{position:'bottom',labels:{font:{size:10},padding:8,boxWidth:10}}},scales:{x:{stacked:true,grid:{display:false}},y:{stacked:true,grid:{color:'rgba(255,255,255,.04)'},max:100}}}});
// Pipeline architecture SVG
const svg=d3.select('#pipeline-svg');
const w=svg.node().getBoundingClientRect().width||500;
const steps=[
{x:.05,label:'Teams\nWebhook',icon:'bi-download',color:C.blue},
{x:.24,label:'Tokenizer\n& Embed',icon:'bi-scissors',color:C.accent},
{x:.43,label:'NLP\nClassifier',icon:'bi-cpu',color:C.purple},
{x:.62,label:'Sentiment\nAnalysis',icon:'bi-chat-left-text',color:C.green},
{x:.81,label:'DuckDB\nStorage',icon:'bi-database',color:C.orange},
];
const cy=100;
// Arrows
for(let i=0;i<steps.length-1;i++){
svg.append('line').attr('x1',steps[i].x*w+38).attr('y1',cy).attr('x2',steps[i+1].x*w-38).attr('y2',cy)
.attr('stroke',rgba(C.accent,.4)).attr('stroke-width',1.5).attr('marker-end','url(#arrow)');
}
svg.append('defs').append('marker').attr('id','arrow').attr('viewBox','0 0 10 10').attr('refX',9).attr('refY',5)
.attr('markerWidth',6).attr('markerHeight',6).attr('orient','auto')
.append('path').attr('d','M0,0L10,5L0,10Z').attr('fill',rgba(C.accent,.5));
// Nodes
steps.forEach(s=>{
const g=svg.append('g').attr('transform',`translate(${s.x*w},${cy})`);
g.append('circle').attr('r',30).attr('fill',rgba(s.color,.12)).attr('stroke',s.color).attr('stroke-width',1.5);
g.append('foreignObject').attr('x',-15).attr('y',-15).attr('width',30).attr('height',30)
.append('xhtml:i').attr('class',`bi ${s.icon}`).style('color',s.color).style('font-size','20px');
g.append('text').attr('text-anchor','middle').attr('y',46).attr('font-size',9).attr('fill','#94a3b8')
.selectAll('tspan').data(s.label.split('\n')).enter().append('tspan')
.attr('x',0).attr('dy',(_,i)=>i===0?0:12).text(d=>d);
});
}
// ── TAB 3: Meetings ───────────────────────────────────────────────────────────
const MEETINGS=[
{title:'Q1 Sprint Planning',date:'Jan 8, 2026',duration:'62 min',attendees:12,channel:'Engineering',tags:['sprint','planning'],summary:'Team aligned on 18 sprint items for Q1. Backend API work scoped to 3 engineers. Frontend revamp estimated at 2 weeks.',actions:['Finalize API contracts by Jan 10','Set up staging environment','Schedule design review with UX team']},
{title:'Product Roadmap Review',date:'Jan 9, 2026',duration:'45 min',attendees:8,channel:'Product',tags:['roadmap','strategy'],summary:'Roadmap for H1 approved with 4 major feature releases. AI analytics module moved to Q1 priority. Mobile app deprioritized to Q3.',actions:['Update Jira with new priorities','Draft announcement for stakeholders']},
{title:'Security Incident Debrief',date:'Jan 10, 2026',duration:'38 min',attendees:6,channel:'DevOps',tags:['security','incident'],summary:'Rate limiting issue on /api/auth endpoint resolved. Root cause: missing IP allow-list validation. Zero data exposure confirmed.',actions:['Deploy WAF rule updates','Schedule penetration test Q1','Update runbook with incident timeline']},
{title:'Customer Onboarding Sync',date:'Jan 11, 2026',duration:'28 min',attendees:5,channel:'Sales',tags:['customer','onboarding'],summary:'3 new enterprise accounts onboarding. Acme Corp requires SSO integration (2-week lead). DataCo needs custom reporting dashboard.',actions:['Scope SSO integration for Acme','Assign dedicated CSM for DataCo','Send welcome packages']},
];
const tagStyle={sprint:['tag-blue','sprint'],planning:['tag-green','plan'],roadmap:['tag-purple','roadmap'],strategy:['tag-purple','strategy'],security:['tag-orange','security'],incident:['tag-orange','incident'],customer:['tag-blue','customer'],onboarding:['tag-green','onboard']};
// Simulated DuckDB query results (would be real DuckDB-WASM in production)
const DUCK_RESULTS={
default:[
{channel:'Engineering',messages:4280,pct:'22.1%'},
{channel:'Product',messages:3640,pct:'18.8%'},
{channel:'General',messages:3420,pct:'17.7%'},
{channel:'Sales',messages:2980,pct:'15.4%'},
{channel:'DevOps',messages:2150,pct:'11.1%'},
],
meetings:[
{meeting:'Sprint Planning',action_items:3,duration:'62 min',attendees:12},
{meeting:'Product Roadmap',action_items:2,duration:'45 min',attendees:8},
{meeting:'Security Debrief',action_items:3,duration:'38 min',attendees:6},
{meeting:'Customer Sync',action_items:3,duration:'28 min',attendees:5},
]
};
function initMeetings(){
// Meeting list
safeSetHTML(document.getElementById('meeting-list'), MEETINGS.map(m=>`
<div class="meeting">
<div class="meeting-title">${m.title}</div>
<div class="meeting-meta">
<span><i class="fas fa-calendar" style="color:var(--accent)"></i> ${m.date}</span>
<span><i class="fas fa-clock" style="color:var(--green)"></i> ${m.duration}</span>
<span><i class="fas fa-users" style="color:var(--purple)"></i> ${m.attendees}</span>
<span><i class="fas fa-hashtag" style="color:var(--muted)"></i> ${m.channel}</span>
</div>
<div style="display:flex;gap:.3rem;flex-wrap:wrap;margin-bottom:.5rem">
${m.tags.map(t=>`<span class="meeting-tag ${(tagStyle[t]||['tag-blue'])[0]}">${t}</span>`).join('')}
</div>
<div class="meeting-summary">${m.summary}</div>
<div style="margin-top:.5rem">${m.actions.map(a=>`<div class="action-item">${a}</div>`).join('')}</div>
</div>`).join(''));
// Duration pie
new Chart(document.getElementById('durationChart'),{type:'doughnut',data:{
labels:['< 30 min','30-45 min','45-60 min','60-90 min','90+ min'],
datasets:[{data:[18,28,24,22,8],backgroundColor:[C.green,C.accent,C.purple,C.orange,C.red].map(c=>rgba(c,.7)),borderColor:[C.green,C.accent,C.purple,C.orange,C.red],borderWidth:1.5}]
},options:{responsive:true,maintainAspectRatio:false,plugins:{legend:{position:'right',labels:{font:{size:10},padding:8,boxWidth:10}}}}});
// Pre-populate SQL with nice example
renderSQL(`-- DuckDB: top 5 channels by message volume this month
SELECT
channel_name,
COUNT(*) AS messages,
ROUND(COUNT(*) * 100.0 / SUM(COUNT(*)) OVER(), 1) || '%' AS pct_total
FROM messages
WHERE created_at >= date_trunc('month', CURRENT_DATE)
GROUP BY channel_name
ORDER BY messages DESC
LIMIT 5;`);
renderResults(DUCK_RESULTS.default,['channel','messages','pct']);
document.getElementById('run-btn').disabled=false;
}
function renderSQL(sql){
const keywords=['SELECT','FROM','WHERE','GROUP BY','ORDER BY','LIMIT','COUNT','ROUND','SUM','OVER','OVER()','date_trunc','CURRENT_DATE','AS','AND','OR','JOIN','ON','DESC','ASC'];
let h=sql;
keywords.forEach(k=>{h=h.replace(new RegExp(`\\b${k}\\b`,'g'),`<span class="sql-keyword">${k}</span>`)});
h=h.replace(/'[^']*'/g,m=>`<span class="sql-string">${m}</span>`);
h=h.replace(/--.*/g,m=>`<span class="sql-comment">${m}</span>`);
safeSetHTML(document.getElementById('sql-output'), h);
}
function renderResults(rows,cols){
if(!rows||!rows.length)return;
const ks=cols||Object.keys(rows[0]);
safeSetHTML(document.getElementById('query-results'), `
<table class="result-table">
<thead><tr>${ks.map(k=>`<th>${k}</th>`).join('')}</tr></thead>
<tbody>${rows.map(r=>`<tr>${ks.map(k=>`<td>${r[k]??''}</td>`).join('')}</tr>`).join('')}</tbody>
</table>
<div style="font-size:.67rem;color:var(--muted);margin-top:.4rem">${rows.length} rows · 0ms · DuckDB-WASM in-browser</div>`);
}
async function runNLQuery(){
const q=document.getElementById('nl-query').value.trim();
if(!q)return;
const btn=document.getElementById('nl-btn');
btn.disabled=true;
safeSetHTML(btn, '<span class="spin"></span> Generating…');
safeSetHTML(document.getElementById('sql-output'), '<span style="color:var(--muted);font-style:italic">Generating SQL…</span>');
document.getElementById('run-btn').disabled=true;
// Try real AI, fall back to synthetic
let sql=null;
if(window.cfAI){
const schema=`Tables: messages(id,channel_name,user_id,created_at,content,sentiment), meetings(id,title,channel,duration_min,attendees,created_at), action_items(id,meeting_id,text,owner,due_date). Database: DuckDB.`;
const r=await window.cfAI(`${schema}\n\nQuestion: ${q}`, 'sql').catch(()=>null);
if(r&&r.response&&!r.error) sql=r.response;
}
if(!sql){
// Synthetic fallback — always works
const lower=q.toLowerCase();
if(lower.includes('action item')||lower.includes('meeting')){
sql=`SELECT m.title AS meeting, COUNT(a.id) AS action_items,\n m.duration_min || ' min' AS duration, m.attendees\nFROM meetings m\nLEFT JOIN action_items a ON a.meeting_id = m.id\nWHERE m.created_at >= CURRENT_DATE - INTERVAL 7 DAYS\nGROUP BY m.id\nHAVING action_items > 5\nORDER BY action_items DESC;`;
} else if(lower.includes('sentiment')||lower.includes('negative')){
sql=`SELECT channel_name, sentiment, COUNT(*) AS count,\n ROUND(COUNT(*)*100.0/SUM(COUNT(*)) OVER(PARTITION BY channel_name),1)||'%' AS pct\nFROM messages\nWHERE created_at >= CURRENT_DATE - INTERVAL 30 DAYS\nGROUP BY channel_name, sentiment\nORDER BY channel_name, count DESC;`;
} else {
sql=`-- DuckDB: ${q}\nSELECT channel_name,\n COUNT(*) AS messages,\n ROUND(COUNT(*)*100.0/SUM(COUNT(*)) OVER(),1)||'%' AS pct_total\nFROM messages\nWHERE created_at >= date_trunc('month', CURRENT_DATE)\nGROUP BY channel_name\nORDER BY messages DESC\nLIMIT 5;`;
}
}
renderSQL(sql);
document.getElementById('run-btn').disabled=false;
safeSetHTML(btn, '<i class="fas fa-magic"></i> Generate');
btn.disabled=false;
}
function runSQL(){
const q=document.getElementById('nl-query').value.toLowerCase();
safeSetHTML(document.getElementById('query-status'), '<span class="spin"></span>');
setTimeout(()=>{
const rows=(q.includes('action')||q.includes('meeting'))?DUCK_RESULTS.meetings:DUCK_RESULTS.default;
renderResults(rows);
document.getElementById('query-status').textContent='';
},320);
}
// ── TAB 4: Forecast ───────────────────────────────────────────────────────────
const FORECAST_MODELS=[
{id:'prophet',label:'Prophet',mape:4.2,color:C.accent},
{id:'lstm',label:'LSTM',mape:3.8,color:C.green},
{id:'xgboost',label:'XGBoost',mape:5.1,color:C.purple},
{id:'nbeats',label:'N-BEATS',mape:3.5,color:C.orange},
{id:'ensemble',label:'Ensemble',mape:3.1,color:C.teal},
];
let activeModel='ensemble';
let fcChart=null,decompChart=null;
function initForecast(){
// Model pills
safeSetHTML(document.getElementById('model-pills'), FORECAST_MODELS.map(m=>`
<span class="model-pill ${m.id===activeModel?'sel':''}" data-id="${m.id}" style="${m.id===activeModel?`color:${m.color};border-color:${m.color}`:''}">
${m.label}
</span>`).join(''));
// Attach event listeners for model pills since inline onclick was stripped
document.querySelectorAll('.model-pill').forEach(p => {
p.addEventListener('click', () => selectModel(p.dataset.id));
});
// Accuracy bars
safeSetHTML(document.getElementById('accuracy-list'), FORECAST_MODELS.sort((a,b)=>a.mape-b.mape).map(m=>`
<div class="accuracy-row">
<div class="acc-model">${m.label}</div>
<div class="acc-bar-wrap"><div class="acc-bar" style="width:${(100-m.mape*10).toFixed(0)}%;background:${m.color}"></div></div>
<div class="acc-val" style="color:${m.color}">${m.mape}%</div>
</div>`).join(''));
// Seasonality bar chart
const wdayNames=['Mon','Tue','Wed','Thu','Fri','Sat','Sun'];
const wdayFactor=[1.0,1.07,1.05,1.08,1.02,0.52,0.38];
new Chart(document.getElementById('seasonChart'),{type:'bar',data:{
labels:wdayNames,
datasets:[{label:'Relative Activity',data:wdayFactor,backgroundColor:wdayFactor.map(v=>rgba(v>0.7?C.accent:C.muted||'#64748b',.65)),borderColor:wdayFactor.map(v=>v>0.7?C.accent:'#64748b'),borderWidth:1.5,borderRadius:5}]
},options:{responsive:true,maintainAspectRatio:false,plugins:{legend:{display:false}},scales:{x:{grid:{display:false}},y:{grid:{color:'rgba(255,255,255,.04)'},min:0,max:1.2}}}});
// Anomalies
const anomalies=[
{date:'Jan 14','msg':'Holiday spike: +48% above forecast','icon':'bi-graph-up-arrow',color:C.orange},
{date:'Dec 28','msg':'Year-end drop: -67% (holidays)','icon':'bi-graph-down-arrow',color:C.red},
{date:'Jan 7','msg':'Product launch surge: +82%','icon':'bi-rocket-takeoff',color:C.green},
];
safeSetHTML(document.getElementById('anomaly-list'), anomalies.map(a=>`
<div style="display:flex;gap:.6rem;align-items:flex-start;padding:.5rem 0;border-bottom:1px solid rgba(255,255,255,.04)">
<span style="font-size:1.1rem">${a.icon}</span>
<div>
<div style="font-size:.72rem;font-family:var(--mono);color:${a.color}">${a.date}</div>
<div style="font-size:.74rem;color:#94a3b8">${a.msg}</div>
</div>
</div>`).join(''));
renderForecast();
}
function selectModel(id){
activeModel=id;
const m=FORECAST_MODELS.find(x=>x.id===id);
document.querySelectorAll('.model-pill').forEach(p=>{
const pid=p.dataset.id;
p.classList.toggle('sel', pid===id);
if(pid===id) p.style.cssText=`color:${m.color};border-color:${m.color}`;
else p.style.cssText='';
});
document.getElementById('forecast-mape').textContent=`MAPE: ${m.mape}% · Model: ${m.label}`;
renderForecast();
}
function renderForecast(){
const m=FORECAST_MODELS.find(x=>x.id===activeModel);
const hist=msgData.slice(-30);
const labels=[...days90.slice(-30),...Array(14).fill(0).map((_,i)=>{const d=new Date(2026,2,1);d.setDate(d.getDate()+i);return d.toLocaleDateString('en',{month:'short',day:'numeric'})})];
const noise=m.mape/100;
const lastVal=hist[hist.length-1];
const forecast=Array.from({length:14},(_,i)=>Math.round(lastVal*(1+0.008*i)*(0.95+rng()*0.1)));
const ciUpper=forecast.map(v=>Math.round(v*(1+noise*2)));
const ciLower=forecast.map(v=>Math.round(v*(1-noise*2)));
const histPad=Array(30).fill(null);
if(fcChart) fcChart.destroy();
const ctx=document.getElementById('forecastChart').getContext('2d');
const grad=ctx.createLinearGradient(0,0,0,260);
grad.addColorStop(0,rgba(m.color,.25));grad.addColorStop(1,rgba(m.color,0));
fcChart=new Chart(ctx,{type:'line',data:{
labels,
datasets:[
{label:'Historical',data:[...hist,...histPad],borderColor:C.accent,borderWidth:2,pointRadius:0,fill:false,tension:.4},
{label:'Forecast',data:[...histPad.map(()=>null),...forecast],borderColor:m.color,borderWidth:2.5,borderDash:[5,3],pointRadius:3,pointBackgroundColor:m.color,fill:false,tension:.4},
{label:'CI Upper',data:[...histPad.map(()=>null),...ciUpper],borderColor:rgba(m.color,.25),borderWidth:1,pointRadius:0,fill:'+1',backgroundColor:rgba(m.color,.08),tension:.4},
{label:'CI Lower',data:[...histPad.map(()=>null),...ciLower],borderColor:rgba(m.color,.25),borderWidth:1,pointRadius:0,fill:false,tension:.4},
]
},options:{responsive:true,maintainAspectRatio:false,plugins:{legend:{labels:{font:{size:11},boxWidth:12}},annotation:{annotations:{}}},scales:{x:{grid:{display:false},ticks:{maxTicksLimit:10}},y:{grid:{color:'rgba(255,255,255,.04)'}}}}});
// Decomposition
const trend=hist.map((v,i)=>Math.round(3800+(i/29)*600));
const seasonal=hist.map((_,i)=>Math.round(200*Math.sin(2*Math.PI*i/7)));
const residual=hist.map((v,i)=>v-trend[i]-seasonal[i]);
if(decompChart) decompChart.destroy();
decompChart=new Chart(document.getElementById('decompositionChart'),{type:'line',data:{
labels:days90.slice(-30),
datasets:[
{label:'Trend',data:trend,borderColor:C.accent,borderWidth:2,pointRadius:0,fill:false,tension:.45,yAxisID:'y'},
{label:'Seasonal',data:seasonal,borderColor:C.green,borderWidth:1.5,pointRadius:0,fill:false,tension:.3,yAxisID:'y2'},
{label:'Residual',data:residual,borderColor:rgba(C.red,.7),borderWidth:1,pointRadius:0,fill:false,tension:.1,yAxisID:'y2'},
]
},options:{responsive:true,maintainAspectRatio:false,plugins:{legend:{labels:{font:{size:11},boxWidth:12}}},scales:{x:{grid:{display:false},ticks:{maxTicksLimit:8}},y:{grid:{color:'rgba(255,255,255,.04)'},position:'left'},y2:{grid:{display:false},position:'right'}}}});
}
// Init forecast tab immediately (hidden) so charts are ready
rendered['dashboard']=true;
</script>
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