Spaces:
Sleeping
Sleeping
File size: 14,332 Bytes
b0add2b 1cd4171 b0add2b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Real-Time Anomaly Detection</title>
<link rel="icon" type="image/svg+xml" href="/static/favicon.svg" />
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,400;0,9..40,500;0,9..40,600;0,9..40,700&display=swap" rel="stylesheet" />
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.1/dist/chart.umd.min.js"></script>
<style>
:root {
--bg: #0c0c0f;
--surface: #141419;
--surface-elevated: #1a1a21;
--border: rgba(255, 255, 255, 0.06);
--text: #e4e4e7;
--text-muted: #a1a1aa;
--accent: #22c55e;
--accent-dim: rgba(34, 197, 94, 0.15);
--danger: #ef4444;
--danger-dim: rgba(239, 68, 68, 0.12);
--warn: #eab308;
--warn-dim: rgba(234, 179, 8, 0.12);
--info: #38bdf8;
--info-dim: rgba(56, 189, 248, 0.12);
--chart-temp: #38bdf8;
--chart-pressure: #a78bfa;
--chart-vibe: #34d399;
--radius: 12px;
--radius-sm: 8px;
}
* { box-sizing: border-box; }
body {
font-family: 'DM Sans', system-ui, sans-serif;
margin: 0;
padding: 0;
background: var(--bg);
color: var(--text);
min-height: 100vh;
line-height: 1.5;
}
.layout {
max-width: 1080px;
margin: 0 auto;
padding: 2rem 1.5rem 3rem;
}
header { margin-bottom: 1.5rem; }
h1 {
font-size: 1.75rem;
font-weight: 700;
letter-spacing: -0.02em;
margin: 0 0 0.35rem 0;
color: var(--text);
}
.intro {
font-size: 0.9375rem;
color: var(--text-muted);
margin: 0;
max-width: 60ch;
}
/* Status + phase row */
.status-row {
display: flex;
align-items: center;
gap: 0.625rem;
margin-bottom: 1.5rem;
flex-wrap: wrap;
}
#status {
font-size: 0.8125rem;
font-weight: 500;
padding: 0.3rem 0.75rem;
border-radius: 999px;
display: inline-flex;
align-items: center;
gap: 0.4rem;
}
#status::before {
content: '';
width: 6px;
height: 6px;
border-radius: 50%;
background: currentColor;
}
#status.connected { color: var(--accent); background: var(--accent-dim); }
#status.disconnected { color: var(--danger); background: var(--danger-dim); }
.phase-badge {
font-size: 0.8125rem;
font-weight: 600;
padding: 0.3rem 0.75rem;
border-radius: 999px;
display: inline-flex;
align-items: center;
gap: 0.35rem;
transition: background 0.25s, color 0.25s;
}
.phase-badge.phase-A { color: var(--accent); background: var(--accent-dim); }
.phase-badge.phase-B { color: var(--warn); background: var(--warn-dim); }
.phase-badge.phase-C { color: var(--danger); background: var(--danger-dim); }
.phase-desc {
font-size: 0.8125rem;
color: var(--text-muted);
}
.obs-count {
margin-left: auto;
font-size: 0.8125rem;
color: var(--text-muted);
font-variant-numeric: tabular-nums;
}
/* Counter grids */
.counters-section { margin-bottom: 1.25rem; }
.counters-label {
font-size: 0.6875rem;
font-weight: 600;
text-transform: uppercase;
letter-spacing: 0.07em;
color: var(--text-muted);
margin: 0 0 0.5rem;
}
.counters {
display: grid;
gap: 0.875rem;
}
.counters.counts { grid-template-columns: repeat(3, 1fr); }
.counters.metrics { grid-template-columns: repeat(3, 1fr); }
@media (max-width: 600px) {
.counters.counts, .counters.metrics { grid-template-columns: repeat(2, 1fr); }
}
.counter {
background: var(--surface);
border: 1px solid var(--border);
border-radius: var(--radius);
padding: 1rem 1.25rem;
cursor: help;
transition: border-color 0.15s, background 0.15s;
}
.counter:hover {
background: var(--surface-elevated);
border-color: rgba(255, 255, 255, 0.09);
}
.counter label {
display: block;
font-size: 0.6875rem;
font-weight: 600;
text-transform: uppercase;
letter-spacing: 0.06em;
color: var(--text-muted);
margin-bottom: 0.35rem;
}
.counter .value {
font-size: 1.5rem;
font-weight: 700;
letter-spacing: -0.02em;
color: var(--text);
font-variant-numeric: tabular-nums;
}
.counter .sub {
font-size: 0.75rem;
color: var(--text-muted);
margin-top: 0.2rem;
}
/* Charts */
.chart-section { margin-bottom: 1.25rem; }
.chart-card {
background: var(--surface);
border: 1px solid var(--border);
border-radius: var(--radius);
padding: 1.25rem 1.25rem 1rem;
}
.chart-title {
font-size: 0.8125rem;
font-weight: 600;
color: var(--text-muted);
text-transform: uppercase;
letter-spacing: 0.06em;
margin: 0 0 0.75rem;
}
.chart-wrap { position: relative; }
.chart-wrap.sensors { height: 320px; }
.chart-wrap.scores { height: 160px; }
.chart-caption {
font-size: 0.8125rem;
color: var(--text-muted);
margin: 0.625rem 0 0;
line-height: 1.5;
}
.chart-caption span { font-weight: 500; }
/* Legend pill for ground truth */
.legend-row {
display: flex;
flex-wrap: wrap;
gap: 0.75rem;
margin-bottom: 0.75rem;
}
.legend-item {
display: flex;
align-items: center;
gap: 0.35rem;
font-size: 0.8rem;
color: var(--text-muted);
}
.legend-dot {
width: 8px; height: 8px; border-radius: 50%;
flex-shrink: 0;
}
.legend-dash {
width: 18px; height: 2px; flex-shrink: 0;
}
/* Explainer accordion */
.explainer {
border: 1px solid var(--border);
border-radius: var(--radius);
overflow: hidden;
background: var(--surface);
}
.explainer-header {
padding: 0.875rem 1.25rem;
font-weight: 600;
font-size: 0.9375rem;
cursor: pointer;
user-select: none;
color: var(--text);
transition: background 0.15s;
display: flex;
align-items: center;
justify-content: space-between;
}
.explainer-header:hover { background: var(--surface-elevated); }
.explainer-header .chevron {
font-size: 0.75rem;
color: var(--text-muted);
transition: transform 0.2s;
}
.explainer.open .explainer-header .chevron { transform: rotate(180deg); }
.explainer-body {
display: none;
padding: 0 1.25rem 1.25rem;
}
.explainer.open .explainer-body { display: block; }
.explainer-body p {
font-size: 0.9375rem;
color: var(--text-muted);
line-height: 1.65;
margin: 0.75rem 0 0;
}
.explainer-body strong { color: var(--text); }
.explainer-body ul {
margin: 0.5rem 0 0;
padding-left: 1.25rem;
}
.explainer-body li {
font-size: 0.9375rem;
color: var(--text-muted);
margin-bottom: 0.5rem;
line-height: 1.6;
}
.explainer-body .algo-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 1rem;
margin-top: 0.875rem;
}
@media (max-width: 600px) { .explainer-body .algo-grid { grid-template-columns: 1fr; } }
.algo-card {
background: var(--surface-elevated);
border: 1px solid var(--border);
border-radius: var(--radius-sm);
padding: 0.875rem 1rem;
}
.algo-card h4 {
margin: 0 0 0.35rem;
font-size: 0.875rem;
font-weight: 600;
color: var(--text);
}
.algo-card p {
margin: 0;
font-size: 0.8375rem;
color: var(--text-muted);
line-height: 1.55;
}
.divider {
border: none;
border-top: 1px solid var(--border);
margin: 1.25rem 0;
}
</style>
</head>
<body>
<div class="layout">
<header>
<h1>Real-Time Anomaly Detection</h1>
<p class="intro">Live sensor stream scored observation by observation. Tracks precision, recall, and F1 against ground truth in real time.</p>
</header>
<div class="status-row">
<div id="status" class="disconnected">Disconnected</div>
<div id="phase-badge" class="phase-badge phase-A">Phase A</div>
<span id="phase-desc" class="phase-desc">building baseline</span>
<span class="obs-count" id="obs-count">0 observations</span>
</div>
<!-- Event counters -->
<div class="counters-section">
<p class="counters-label">Event counts, current cycle</p>
<div class="counters counts">
<div class="counter" title="Observations processed since last stream reset.">
<label>Observations</label>
<span class="value" id="total-obs">0</span>
</div>
<div class="counter" title="Number of times the anomaly score exceeded the detection threshold.">
<label>Anomalies detected</label>
<span class="value" id="total-anomalies">0</span>
</div>
<div class="counter" title="Times ADWIN detected a shift in the sensor drift signal.">
<label>Drift events</label>
<span class="value" id="total-drift">0</span>
</div>
</div>
</div>
<!-- Detection metrics -->
<div class="counters-section">
<p class="counters-label">Detection metrics vs ground truth, current cycle</p>
<div class="counters metrics">
<div class="counter" title="Of all alerts raised, how many were genuine anomalies.">
<label>Precision</label>
<span class="value" id="precision">0.00</span>
<p class="sub">alerts that were real</p>
</div>
<div class="counter" title="Of all true anomalies injected, how many were caught.">
<label>Recall</label>
<span class="value" id="recall">0.00</span>
<p class="sub">anomalies caught</p>
</div>
<div class="counter" title="Harmonic mean of precision and recall.">
<label>F1 Score</label>
<span class="value" id="f1">0.00</span>
<p class="sub">harmonic mean P&R</p>
</div>
</div>
</div>
<!-- Sensor chart -->
<div class="chart-section">
<div class="chart-card">
<p class="chart-title">Sensor readings, last 200 observations</p>
<div class="legend-row">
<span class="legend-item"><span class="legend-dot" style="background:#38bdf8"></span>Temperature</span>
<span class="legend-item"><span class="legend-dot" style="background:#a78bfa"></span>Pressure</span>
<span class="legend-item"><span class="legend-dot" style="background:#34d399"></span>Vibration</span>
<span class="legend-item"><span class="legend-dot" style="background:#ef4444"></span>Alert (score > threshold)</span>
<span class="legend-item"><span class="legend-dash" style="background:#eab308"></span>Drift event</span>
</div>
<div class="chart-wrap sensors">
<canvas id="chart-sensors"></canvas>
</div>
</div>
</div>
<!-- Anomaly score chart -->
<div class="chart-section">
<div class="chart-card">
<p class="chart-title">Anomaly score, last 200 observations</p>
<div class="chart-wrap scores">
<canvas id="chart-score"></canvas>
</div>
<p class="chart-caption">
Mahalanobis distance from the Phase A baseline, scaled to [0, 1).
<span style="color:var(--danger)">Red dashed line</span> = detection threshold (0.60).
<span style="color:var(--warn)">Yellow lines</span> = ADWIN drift events.
</p>
</div>
</div>
<!-- Algorithm explainer -->
<div class="explainer" id="explainer">
<div class="explainer-header" id="explainer-toggle">
How it works <span class="chevron">▼</span>
</div>
<div class="explainer-body">
<p>
Each observation is scored exactly once as it arrives. No batching, no retraining.
</p>
<div class="algo-grid">
<div class="algo-card">
<h4>Mahalanobis distance (anomaly scorer)</h4>
<p>During Phase A, the detector fits a multivariate Gaussian to the sensor readings. After Phase A, that baseline is frozen. Every new observation is scored as its Mahalanobis distance from the Phase A mean, using the full covariance matrix. This catches both large single-sensor spikes and unusual sensor combinations, like high temperature paired with low pressure when the two normally move together.</p>
</div>
<div class="algo-card">
<h4>ADWIN (drift detector)</h4>
<p>Watches a normalized average of all three sensor readings. When the distribution of that signal shifts in Phase B, ADWIN fires. The anomaly baseline is not reset since it was calibrated on the pre-drift data. Drift events are logged and shown as yellow markers on the charts.</p>
</div>
</div>
<p><strong>Stream phases</strong></p>
<ul>
<li><strong>Phase A (300 obs):</strong> Correlated Gaussian noise across three sensors, shared latent factor (weight 0.7). The detector fits the baseline here. Scores are 0 during this phase.</li>
<li><strong>Phase B (200 obs):</strong> All sensor means shift linearly. ADWIN fires when it detects the sustained shift.</li>
<li><strong>Phase C (300 obs):</strong> Anomalies are injected at ~8% rate. Two types: <em>point anomalies</em> (3-5σ spikes in one or more sensors) and <em>contextual anomalies</em> (high temp + low pressure, unusual given the positive correlation in normal data). Precision, recall, and F1 are measured here against ground truth labels.</li>
</ul>
<p>
The <code>/stats</code> and <code>/metrics</code> endpoints expose all counters as JSON and Prometheus text respectively.
</p>
</div>
</div>
</div>
<script src="/static/dashboard.js"></script>
</body>
</html>
|