Upload cross_reading/consensus_building.html with huggingface_hub
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cross_reading/consensus_building.html
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|
| 1 |
+
<!DOCTYPE html>
|
| 2 |
+
<html lang="fr">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="UTF-8">
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 6 |
+
<title>Système de Calibration Expert - ReflAgent</title>
|
| 7 |
+
|
| 8 |
+
<style>
|
| 9 |
+
* {
|
| 10 |
+
margin: 0;
|
| 11 |
+
padding: 0;
|
| 12 |
+
box-sizing: border-box;
|
| 13 |
+
font-family: 'Segoe UI', Arial, sans-serif;
|
| 14 |
+
}
|
| 15 |
+
|
| 16 |
+
body {
|
| 17 |
+
background: linear-gradient(135deg, #f8f9fa 0%, #e9ecef 100%);
|
| 18 |
+
color: #333;
|
| 19 |
+
min-height: 100vh;
|
| 20 |
+
padding: 20px;
|
| 21 |
+
}
|
| 22 |
+
|
| 23 |
+
.container {
|
| 24 |
+
max-width: 1400px;
|
| 25 |
+
margin: 0 auto;
|
| 26 |
+
background: white;
|
| 27 |
+
border-radius: 20px;
|
| 28 |
+
padding: 30px;
|
| 29 |
+
box-shadow: 0 10px 40px rgba(0,0,0,0.08);
|
| 30 |
+
border: 1px solid #dee2e6;
|
| 31 |
+
}
|
| 32 |
+
|
| 33 |
+
/* Onglets */
|
| 34 |
+
.tabs {
|
| 35 |
+
display: flex;
|
| 36 |
+
gap: 10px;
|
| 37 |
+
margin-bottom: 30px;
|
| 38 |
+
border-bottom: 2px solid #dee2e6;
|
| 39 |
+
padding-bottom: 0;
|
| 40 |
+
}
|
| 41 |
+
|
| 42 |
+
.tab-button {
|
| 43 |
+
padding: 15px 30px;
|
| 44 |
+
background: #f8f9fa;
|
| 45 |
+
border: none;
|
| 46 |
+
border-radius: 10px 10px 0 0;
|
| 47 |
+
font-weight: 600;
|
| 48 |
+
cursor: pointer;
|
| 49 |
+
transition: all 0.3s;
|
| 50 |
+
color: #6c757d;
|
| 51 |
+
font-size: 16px;
|
| 52 |
+
}
|
| 53 |
+
|
| 54 |
+
.tab-button.active {
|
| 55 |
+
background: #3498db;
|
| 56 |
+
color: white;
|
| 57 |
+
box-shadow: 0 4px 10px rgba(52, 152, 219, 0.3);
|
| 58 |
+
}
|
| 59 |
+
|
| 60 |
+
.tab-content {
|
| 61 |
+
display: none;
|
| 62 |
+
}
|
| 63 |
+
|
| 64 |
+
.tab-content.active {
|
| 65 |
+
display: block;
|
| 66 |
+
animation: fadeIn 0.5s ease;
|
| 67 |
+
}
|
| 68 |
+
|
| 69 |
+
@keyframes fadeIn {
|
| 70 |
+
from { opacity: 0; transform: translateY(10px); }
|
| 71 |
+
to { opacity: 1; transform: translateY(0); }
|
| 72 |
+
}
|
| 73 |
+
|
| 74 |
+
/* Partie 1 : Interface Expert */
|
| 75 |
+
.evaluation-container {
|
| 76 |
+
max-width: 900px;
|
| 77 |
+
margin: 0 auto;
|
| 78 |
+
}
|
| 79 |
+
|
| 80 |
+
.scenario-selector {
|
| 81 |
+
background: #f8f9fa;
|
| 82 |
+
padding: 25px;
|
| 83 |
+
border-radius: 15px;
|
| 84 |
+
margin-bottom: 30px;
|
| 85 |
+
border-left: 5px solid #3498db;
|
| 86 |
+
}
|
| 87 |
+
|
| 88 |
+
.scenario-selector select {
|
| 89 |
+
width: 100%;
|
| 90 |
+
padding: 15px;
|
| 91 |
+
border: 2px solid #dee2e6;
|
| 92 |
+
border-radius: 10px;
|
| 93 |
+
font-size: 16px;
|
| 94 |
+
margin-top: 10px;
|
| 95 |
+
background: white;
|
| 96 |
+
}
|
| 97 |
+
|
| 98 |
+
.metrics-grid {
|
| 99 |
+
display: grid;
|
| 100 |
+
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
|
| 101 |
+
gap: 20px;
|
| 102 |
+
margin: 30px 0;
|
| 103 |
+
}
|
| 104 |
+
|
| 105 |
+
.metric-card {
|
| 106 |
+
background: white;
|
| 107 |
+
padding: 25px;
|
| 108 |
+
border-radius: 12px;
|
| 109 |
+
box-shadow: 0 4px 15px rgba(0,0,0,0.08);
|
| 110 |
+
border: 1px solid #e9ecef;
|
| 111 |
+
}
|
| 112 |
+
|
| 113 |
+
.metric-slider {
|
| 114 |
+
width: 100%;
|
| 115 |
+
margin: 15px 0;
|
| 116 |
+
-webkit-appearance: none;
|
| 117 |
+
height: 8px;
|
| 118 |
+
background: #e9ecef;
|
| 119 |
+
border-radius: 4px;
|
| 120 |
+
outline: none;
|
| 121 |
+
}
|
| 122 |
+
|
| 123 |
+
.metric-slider::-webkit-slider-thumb {
|
| 124 |
+
-webkit-appearance: none;
|
| 125 |
+
width: 24px;
|
| 126 |
+
height: 24px;
|
| 127 |
+
border-radius: 50%;
|
| 128 |
+
background: #3498db;
|
| 129 |
+
cursor: pointer;
|
| 130 |
+
border: 3px solid white;
|
| 131 |
+
box-shadow: 0 2px 10px rgba(0,0,0,0.2);
|
| 132 |
+
}
|
| 133 |
+
|
| 134 |
+
.slider-value {
|
| 135 |
+
font-size: 24px;
|
| 136 |
+
font-weight: bold;
|
| 137 |
+
color: #2c3e50;
|
| 138 |
+
margin-top: 10px;
|
| 139 |
+
}
|
| 140 |
+
|
| 141 |
+
.metric-badge {
|
| 142 |
+
display: inline-block;
|
| 143 |
+
padding: 6px 12px;
|
| 144 |
+
border-radius: 20px;
|
| 145 |
+
font-size: 12px;
|
| 146 |
+
font-weight: bold;
|
| 147 |
+
margin-top: 10px;
|
| 148 |
+
}
|
| 149 |
+
|
| 150 |
+
.badge-low {
|
| 151 |
+
background: #f8d7da;
|
| 152 |
+
color: #721c24;
|
| 153 |
+
}
|
| 154 |
+
|
| 155 |
+
.badge-medium {
|
| 156 |
+
background: #fff3cd;
|
| 157 |
+
color: #856404;
|
| 158 |
+
}
|
| 159 |
+
|
| 160 |
+
.badge-high {
|
| 161 |
+
background: #d4edda;
|
| 162 |
+
color: #155724;
|
| 163 |
+
}
|
| 164 |
+
|
| 165 |
+
.calibrate-btn {
|
| 166 |
+
display: block;
|
| 167 |
+
width: 200px;
|
| 168 |
+
margin: 40px auto;
|
| 169 |
+
padding: 15px 30px;
|
| 170 |
+
background: linear-gradient(135deg, #27ae60, #2ecc71);
|
| 171 |
+
color: white;
|
| 172 |
+
border: none;
|
| 173 |
+
border-radius: 10px;
|
| 174 |
+
font-size: 18px;
|
| 175 |
+
font-weight: bold;
|
| 176 |
+
cursor: pointer;
|
| 177 |
+
transition: all 0.3s;
|
| 178 |
+
}
|
| 179 |
+
|
| 180 |
+
.calibrate-btn:hover {
|
| 181 |
+
transform: translateY(-3px);
|
| 182 |
+
box-shadow: 0 10px 25px rgba(39, 174, 96, 0.3);
|
| 183 |
+
}
|
| 184 |
+
|
| 185 |
+
/* Partie 2 : Dashboard Consensus */
|
| 186 |
+
.stats-overview {
|
| 187 |
+
display: grid;
|
| 188 |
+
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
|
| 189 |
+
gap: 20px;
|
| 190 |
+
margin: 30px 0;
|
| 191 |
+
}
|
| 192 |
+
|
| 193 |
+
.stat-card {
|
| 194 |
+
background: white;
|
| 195 |
+
padding: 25px;
|
| 196 |
+
border-radius: 12px;
|
| 197 |
+
box-shadow: 0 4px 15px rgba(0,0,0,0.08);
|
| 198 |
+
transition: transform 0.3s;
|
| 199 |
+
border-top: 4px solid #3498db;
|
| 200 |
+
}
|
| 201 |
+
|
| 202 |
+
.stat-card:hover {
|
| 203 |
+
transform: translateY(-5px);
|
| 204 |
+
}
|
| 205 |
+
|
| 206 |
+
.stat-card.highlight {
|
| 207 |
+
border-top-color: #e74c3c;
|
| 208 |
+
background: linear-gradient(135deg, #fff5f5, #fff);
|
| 209 |
+
}
|
| 210 |
+
|
| 211 |
+
.stat-value {
|
| 212 |
+
font-size: 42px;
|
| 213 |
+
font-weight: bold;
|
| 214 |
+
color: #2c3e50;
|
| 215 |
+
margin: 10px 0;
|
| 216 |
+
}
|
| 217 |
+
|
| 218 |
+
.chart-container {
|
| 219 |
+
background: white;
|
| 220 |
+
border-radius: 15px;
|
| 221 |
+
padding: 25px;
|
| 222 |
+
margin: 30px 0;
|
| 223 |
+
box-shadow: 0 4px 20px rgba(0,0,0,0.05);
|
| 224 |
+
border: 1px solid #e9ecef;
|
| 225 |
+
}
|
| 226 |
+
|
| 227 |
+
.chart-wrapper {
|
| 228 |
+
height: 500px;
|
| 229 |
+
position: relative;
|
| 230 |
+
margin: 20px 0;
|
| 231 |
+
}
|
| 232 |
+
|
| 233 |
+
.section-title {
|
| 234 |
+
color: #2c3e50;
|
| 235 |
+
margin: 40px 0 20px;
|
| 236 |
+
padding-bottom: 10px;
|
| 237 |
+
border-bottom: 2px solid #4a90e2;
|
| 238 |
+
display: flex;
|
| 239 |
+
align-items: center;
|
| 240 |
+
gap: 10px;
|
| 241 |
+
}
|
| 242 |
+
|
| 243 |
+
.comparison-table {
|
| 244 |
+
width: 100%;
|
| 245 |
+
border-collapse: collapse;
|
| 246 |
+
margin: 25px 0;
|
| 247 |
+
background: white;
|
| 248 |
+
border-radius: 10px;
|
| 249 |
+
overflow: hidden;
|
| 250 |
+
box-shadow: 0 3px 15px rgba(0,0,0,0.05);
|
| 251 |
+
}
|
| 252 |
+
|
| 253 |
+
.comparison-table th {
|
| 254 |
+
background: linear-gradient(135deg, #2c3e50, #34495e);
|
| 255 |
+
color: white;
|
| 256 |
+
padding: 15px;
|
| 257 |
+
text-align: left;
|
| 258 |
+
font-weight: 600;
|
| 259 |
+
}
|
| 260 |
+
|
| 261 |
+
.comparison-table td {
|
| 262 |
+
padding: 15px;
|
| 263 |
+
border-bottom: 1px solid #e9ecef;
|
| 264 |
+
}
|
| 265 |
+
|
| 266 |
+
.metric-details {
|
| 267 |
+
margin-top: 10px;
|
| 268 |
+
padding-top: 10px;
|
| 269 |
+
border-top: 1px solid #eee;
|
| 270 |
+
}
|
| 271 |
+
|
| 272 |
+
.metric-bar {
|
| 273 |
+
height: 8px;
|
| 274 |
+
background: #e9ecef;
|
| 275 |
+
border-radius: 4px;
|
| 276 |
+
margin: 5px 0;
|
| 277 |
+
overflow: hidden;
|
| 278 |
+
}
|
| 279 |
+
|
| 280 |
+
.metric-fill {
|
| 281 |
+
height: 100%;
|
| 282 |
+
border-radius: 4px;
|
| 283 |
+
}
|
| 284 |
+
|
| 285 |
+
.loading {
|
| 286 |
+
text-align: center;
|
| 287 |
+
padding: 60px;
|
| 288 |
+
color: #7f8c8d;
|
| 289 |
+
}
|
| 290 |
+
|
| 291 |
+
.loading-spinner {
|
| 292 |
+
display: inline-block;
|
| 293 |
+
width: 50px;
|
| 294 |
+
height: 50px;
|
| 295 |
+
border: 4px solid #f3f3f3;
|
| 296 |
+
border-top: 4px solid #3498db;
|
| 297 |
+
border-radius: 50%;
|
| 298 |
+
animation: spin 1s linear infinite;
|
| 299 |
+
margin-bottom: 20px;
|
| 300 |
+
}
|
| 301 |
+
|
| 302 |
+
@keyframes spin {
|
| 303 |
+
0% { transform: rotate(0deg); }
|
| 304 |
+
100% { transform: rotate(360deg); }
|
| 305 |
+
}
|
| 306 |
+
|
| 307 |
+
.notification {
|
| 308 |
+
position: fixed;
|
| 309 |
+
top: 20px;
|
| 310 |
+
right: 20px;
|
| 311 |
+
padding: 15px 25px;
|
| 312 |
+
border-radius: 10px;
|
| 313 |
+
box-shadow: 0 5px 15px rgba(0,0,0,0.2);
|
| 314 |
+
z-index: 1000;
|
| 315 |
+
animation: slideIn 0.3s ease;
|
| 316 |
+
font-weight: bold;
|
| 317 |
+
}
|
| 318 |
+
|
| 319 |
+
.notification.success {
|
| 320 |
+
background: #27ae60;
|
| 321 |
+
color: white;
|
| 322 |
+
}
|
| 323 |
+
|
| 324 |
+
.notification.error {
|
| 325 |
+
background: #e74c3c;
|
| 326 |
+
color: white;
|
| 327 |
+
}
|
| 328 |
+
|
| 329 |
+
@keyframes slideIn {
|
| 330 |
+
from { transform: translateX(100%); opacity: 0; }
|
| 331 |
+
to { transform: translateX(0); opacity: 1; }
|
| 332 |
+
}
|
| 333 |
+
|
| 334 |
+
@keyframes slideOut {
|
| 335 |
+
from { transform: translateX(0); opacity: 1; }
|
| 336 |
+
to { transform: translateX(100%); opacity: 0; }
|
| 337 |
+
}
|
| 338 |
+
|
| 339 |
+
/* Section Consensus Building */
|
| 340 |
+
.consensus-building {
|
| 341 |
+
background: linear-gradient(135deg, #f8f9fa, #e9ecef);
|
| 342 |
+
border-radius: 15px;
|
| 343 |
+
padding: 30px;
|
| 344 |
+
margin: 40px 0;
|
| 345 |
+
border-left: 5px solid #3498db;
|
| 346 |
+
box-shadow: 0 5px 20px rgba(0,0,0,0.05);
|
| 347 |
+
}
|
| 348 |
+
|
| 349 |
+
.consensus-building h2 {
|
| 350 |
+
color: #2c3e50;
|
| 351 |
+
margin-bottom: 20px;
|
| 352 |
+
display: flex;
|
| 353 |
+
align-items: center;
|
| 354 |
+
gap: 10px;
|
| 355 |
+
}
|
| 356 |
+
|
| 357 |
+
.consensus-content {
|
| 358 |
+
display: grid;
|
| 359 |
+
grid-template-columns: 2fr 1fr;
|
| 360 |
+
gap: 30px;
|
| 361 |
+
}
|
| 362 |
+
|
| 363 |
+
.consensus-text {
|
| 364 |
+
line-height: 1.6;
|
| 365 |
+
color: #555;
|
| 366 |
+
}
|
| 367 |
+
|
| 368 |
+
.consensus-text p {
|
| 369 |
+
margin-bottom: 15px;
|
| 370 |
+
}
|
| 371 |
+
|
| 372 |
+
.kappa-metrics {
|
| 373 |
+
background: white;
|
| 374 |
+
padding: 25px;
|
| 375 |
+
border-radius: 10px;
|
| 376 |
+
box-shadow: 0 4px 15px rgba(0,0,0,0.05);
|
| 377 |
+
}
|
| 378 |
+
|
| 379 |
+
.kappa-metrics h4 {
|
| 380 |
+
color: #2c3e50;
|
| 381 |
+
margin-bottom: 15px;
|
| 382 |
+
display: flex;
|
| 383 |
+
align-items: center;
|
| 384 |
+
gap: 10px;
|
| 385 |
+
}
|
| 386 |
+
|
| 387 |
+
.kappa-value {
|
| 388 |
+
display: inline-block;
|
| 389 |
+
padding: 10px 20px;
|
| 390 |
+
background: #2c3e50;
|
| 391 |
+
color: white;
|
| 392 |
+
border-radius: 20px;
|
| 393 |
+
font-weight: bold;
|
| 394 |
+
font-size: 24px;
|
| 395 |
+
margin: 10px 0;
|
| 396 |
+
}
|
| 397 |
+
|
| 398 |
+
.kappa-stage {
|
| 399 |
+
margin: 15px 0;
|
| 400 |
+
padding: 12px;
|
| 401 |
+
border-left: 4px solid;
|
| 402 |
+
background: #f8f9fa;
|
| 403 |
+
border-radius: 0 5px 5px 0;
|
| 404 |
+
}
|
| 405 |
+
|
| 406 |
+
.kappa-stage.annotation {
|
| 407 |
+
border-left-color: #3498db;
|
| 408 |
+
}
|
| 409 |
+
|
| 410 |
+
.kappa-stage.revision {
|
| 411 |
+
border-left-color: #2ecc71;
|
| 412 |
+
}
|
| 413 |
+
|
| 414 |
+
.kappa-stage.evaluation {
|
| 415 |
+
border-left-color: #e74c3c;
|
| 416 |
+
}
|
| 417 |
+
|
| 418 |
+
.expert-process {
|
| 419 |
+
background: #f8f9fa;
|
| 420 |
+
padding: 25px;
|
| 421 |
+
border-radius: 15px;
|
| 422 |
+
margin: 30px 0;
|
| 423 |
+
border-left: 5px solid #3498db;
|
| 424 |
+
}
|
| 425 |
+
|
| 426 |
+
.expert-process h3 {
|
| 427 |
+
color: #2c3e50;
|
| 428 |
+
margin-bottom: 15px;
|
| 429 |
+
display: flex;
|
| 430 |
+
align-items: center;
|
| 431 |
+
gap: 10px;
|
| 432 |
+
}
|
| 433 |
+
|
| 434 |
+
.expert-process ul {
|
| 435 |
+
list-style-type: none;
|
| 436 |
+
padding-left: 20px;
|
| 437 |
+
}
|
| 438 |
+
|
| 439 |
+
.expert-process li {
|
| 440 |
+
margin-bottom: 12px;
|
| 441 |
+
padding-left: 25px;
|
| 442 |
+
position: relative;
|
| 443 |
+
}
|
| 444 |
+
|
| 445 |
+
.expert-process li:before {
|
| 446 |
+
content: "✓";
|
| 447 |
+
position: absolute;
|
| 448 |
+
left: 0;
|
| 449 |
+
color: #27ae60;
|
| 450 |
+
font-weight: bold;
|
| 451 |
+
}
|
| 452 |
+
|
| 453 |
+
@media (max-width: 768px) {
|
| 454 |
+
.container {
|
| 455 |
+
padding: 15px;
|
| 456 |
+
}
|
| 457 |
+
|
| 458 |
+
.tabs {
|
| 459 |
+
flex-direction: column;
|
| 460 |
+
}
|
| 461 |
+
|
| 462 |
+
.tab-button {
|
| 463 |
+
width: 100%;
|
| 464 |
+
border-radius: 10px;
|
| 465 |
+
margin-bottom: 5px;
|
| 466 |
+
}
|
| 467 |
+
|
| 468 |
+
.chart-wrapper {
|
| 469 |
+
height: 400px;
|
| 470 |
+
}
|
| 471 |
+
|
| 472 |
+
.metrics-grid {
|
| 473 |
+
grid-template-columns: 1fr;
|
| 474 |
+
}
|
| 475 |
+
|
| 476 |
+
.consensus-content {
|
| 477 |
+
grid-template-columns: 1fr;
|
| 478 |
+
}
|
| 479 |
+
}
|
| 480 |
+
|
| 481 |
+
/* Styles pour les messages d'erreur/absence de données */
|
| 482 |
+
.no-data-message {
|
| 483 |
+
text-align: center;
|
| 484 |
+
padding: 60px;
|
| 485 |
+
color: #7f8c8d;
|
| 486 |
+
background: #f8f9fa;
|
| 487 |
+
border-radius: 10px;
|
| 488 |
+
margin: 20px 0;
|
| 489 |
+
}
|
| 490 |
+
|
| 491 |
+
.no-data-message h3 {
|
| 492 |
+
margin-bottom: 15px;
|
| 493 |
+
color: #2c3e50;
|
| 494 |
+
}
|
| 495 |
+
|
| 496 |
+
.no-data-message button {
|
| 497 |
+
margin-top: 15px;
|
| 498 |
+
padding: 10px 20px;
|
| 499 |
+
background: #3498db;
|
| 500 |
+
color: white;
|
| 501 |
+
border: none;
|
| 502 |
+
border-radius: 5px;
|
| 503 |
+
cursor: pointer;
|
| 504 |
+
font-weight: bold;
|
| 505 |
+
transition: background 0.3s;
|
| 506 |
+
}
|
| 507 |
+
|
| 508 |
+
.no-data-message button:hover {
|
| 509 |
+
background: #2980b9;
|
| 510 |
+
}
|
| 511 |
+
</style>
|
| 512 |
+
|
| 513 |
+
<script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
|
| 514 |
+
</head>
|
| 515 |
+
<body>
|
| 516 |
+
<div class="container">
|
| 517 |
+
<div class="tabs">
|
| 518 |
+
<button class="tab-button active" data-tab="expert">👨🔬 Évaluation Expert</button>
|
| 519 |
+
<button class="tab-button" data-tab="consensus">📊 Dashboard Consensus</button>
|
| 520 |
+
</div>
|
| 521 |
+
|
| 522 |
+
<!-- Partie 1 : Interface Expert -->
|
| 523 |
+
<div id="expert" class="tab-content active">
|
| 524 |
+
<div class="evaluation-container">
|
| 525 |
+
<header>
|
| 526 |
+
<h1 style="color: #2c3e50; margin-bottom: 20px;">👨🔬 Calibration Expert</h1>
|
| 527 |
+
<p class="subtitle" style="color: #7f8c8d; margin-bottom: 30px;">
|
| 528 |
+
Évaluez les 5 métriques de confiance pour chaque scénario. L'<strong>Indice Global de Confiance</strong>
|
| 529 |
+
est automatiquement calculé comme la moyenne des 5 métriques.
|
| 530 |
+
</p>
|
| 531 |
+
</header>
|
| 532 |
+
|
| 533 |
+
<div class="scenario-selector">
|
| 534 |
+
<h3>📋 Sélection du Scénario</h3>
|
| 535 |
+
<select id="scenarioSelect">
|
| 536 |
+
<option value="">Chargement des scénarios...</option>
|
| 537 |
+
</select>
|
| 538 |
+
<p id="scenarioDescription" style="margin-top: 15px; color: #666; font-style: italic;"></p>
|
| 539 |
+
</div>
|
| 540 |
+
|
| 541 |
+
<div id="metricsEvaluation" style="display: none;">
|
| 542 |
+
<h3 style="color: #2c3e50; margin-bottom: 20px;">📊 Évaluation des 5 Métriques de Confiance</h3>
|
| 543 |
+
|
| 544 |
+
<div class="metrics-grid" id="metricsGrid">
|
| 545 |
+
<!-- Les 5 métriques seront générées ici -->
|
| 546 |
+
</div>
|
| 547 |
+
|
| 548 |
+
<!-- Indice Global de Confiance -->
|
| 549 |
+
<div id="globalIndex" style="margin-top: 30px; padding: 25px; background: linear-gradient(135deg, #f8f9fa, #e9ecef); border-radius: 15px; border-left: 5px solid #9b59b6;">
|
| 550 |
+
<h4 style="color: #2c3e50; margin-bottom: 10px;">🎯 Indice Global de Confiance</h4>
|
| 551 |
+
<p style="color: #7f8c8d; margin-bottom: 15px;">
|
| 552 |
+
Moyenne automatique des 5 métriques évaluées ci-dessus
|
| 553 |
+
</p>
|
| 554 |
+
<div style="display: flex; align-items: center; gap: 20px;">
|
| 555 |
+
<div style="font-size: 48px; font-weight: bold; color: #9b59b6;" id="globalIndexValue">0%</div>
|
| 556 |
+
<div style="flex: 1;">
|
| 557 |
+
<div style="height: 20px; background: #e9ecef; border-radius: 10px; overflow: hidden;">
|
| 558 |
+
<div id="globalIndexBar" style="height: 100%; background: linear-gradient(90deg, #9b59b6, #8e44ad); width: 0%; transition: width 0.5s;"></div>
|
| 559 |
+
</div>
|
| 560 |
+
<div style="display: flex; justify-content: space-between; margin-top: 5px; font-size: 12px; color: #7f8c8d;">
|
| 561 |
+
<span>0%</span>
|
| 562 |
+
<span>50%</span>
|
| 563 |
+
<span>100%</span>
|
| 564 |
+
</div>
|
| 565 |
+
</div>
|
| 566 |
+
</div>
|
| 567 |
+
<div id="globalIndexBadge" class="metric-badge" style="margin-top: 15px;">
|
| 568 |
+
Indice non calculé
|
| 569 |
+
</div>
|
| 570 |
+
</div>
|
| 571 |
+
|
| 572 |
+
<button class="calibrate-btn" onclick="saveCalibration()">
|
| 573 |
+
✅ Calibrer ce Scénario
|
| 574 |
+
</button>
|
| 575 |
+
|
| 576 |
+
<div id="previousEvaluation" style="margin-top: 40px; padding: 20px; background: #f8f9fa; border-radius: 10px; display: none;">
|
| 577 |
+
<h4 style="color: #2c3e50; margin-bottom: 15px;">📝 Évaluation précédente</h4>
|
| 578 |
+
<div id="previousMetrics"></div>
|
| 579 |
+
</div>
|
| 580 |
+
</div>
|
| 581 |
+
|
| 582 |
+
<div id="loadingExpert" class="loading" style="display: none;">
|
| 583 |
+
<div class="loading-spinner"></div>
|
| 584 |
+
<p>Enregistrement de l'évaluation...</p>
|
| 585 |
+
</div>
|
| 586 |
+
</div>
|
| 587 |
+
</div>
|
| 588 |
+
|
| 589 |
+
<!-- Partie 2 : Dashboard Consensus -->
|
| 590 |
+
<div id="consensus" class="tab-content">
|
| 591 |
+
<a href="javascript:void(0)" onclick="switchTab('expert')" class="tab-button" style="display: inline-block; margin-bottom: 20px; background: linear-gradient(135deg, #3498db, #2980b9); color: white;">⬅️ Retour à l'Évaluation</a>
|
| 592 |
+
|
| 593 |
+
<header>
|
| 594 |
+
<h1>🔄 Établissement du Consensus - Processus Expert</h1>
|
| 595 |
+
<p class="subtitle">
|
| 596 |
+
<strong>Phase de Validation par les Experts - Établissement du Consensus :</strong>
|
| 597 |
+
Suite à l'évaluation individuelle, 14 experts ont participé à un processus d'établissement de consensus
|
| 598 |
+
pour traiter la variabilité inter-évaluateurs. Les divergences ont été analysées et résolues lors de sessions
|
| 599 |
+
de calibration, aboutissant à un accord inter-codeur substantiel (Kappa de Cohen > 0,75) à toutes les étapes.
|
| 600 |
+
</p>
|
| 601 |
+
</header>
|
| 602 |
+
|
| 603 |
+
<!-- Section Consensus Building -->
|
| 604 |
+
<div class="consensus-building">
|
| 605 |
+
<h2>🎯 Objectif de ce Dashboard</h2>
|
| 606 |
+
<div class="consensus-content">
|
| 607 |
+
<div class="consensus-text">
|
| 608 |
+
<p>Ce tableau de bord présente les résultats du <strong>processus d'établissement de consensus</strong>
|
| 609 |
+
mené par 14 experts interdisciplinaires. Il compare les évaluations individuelles initiales
|
| 610 |
+
avec les évaluations harmonisées suite aux sessions de calibration, montrant l'amélioration
|
| 611 |
+
de la cohérence et de la fiabilité des jugements experts.</p>
|
| 612 |
+
|
| 613 |
+
<p><strong>Résultat clé :</strong> Accord inter-évaluateurs substantiel (κ > 0,75) atteint pour
|
| 614 |
+
l'ensemble des scénarios après le processus de consensus.</p>
|
| 615 |
+
|
| 616 |
+
<p><strong>Processus :</strong> Suite à la phase d'évaluation individuelle, un processus d'établissement de consensus impliquant 14 experts
|
| 617 |
+
a été mené pour traiter la variabilité inter-évaluateurs. Cette phase a transformé les jugements individuels
|
| 618 |
+
en une référence collective, garantissant des critères d'évaluation cohérents au sein de l'équipe d'experts interdisciplinaire.</p>
|
| 619 |
+
</div>
|
| 620 |
+
|
| 621 |
+
<div class="kappa-metrics">
|
| 622 |
+
<h4>📐 Fiabilité Inter-Codeurs</h4>
|
| 623 |
+
<div class="kappa-value">κ > 0,75</div>
|
| 624 |
+
<p style="color: #7f8c8d; margin-bottom: 15px;">Accord substantiel entre experts</p>
|
| 625 |
+
|
| 626 |
+
<div class="kappa-stage annotation">
|
| 627 |
+
<strong>Annotation :</strong> κ > 0,78
|
| 628 |
+
</div>
|
| 629 |
+
<div class="kappa-stage revision">
|
| 630 |
+
<strong>Révision :</strong> κ > 0,82
|
| 631 |
+
</div>
|
| 632 |
+
<div class="kappa-stage evaluation">
|
| 633 |
+
<strong>Évaluation :</strong> κ > 0,85
|
| 634 |
+
</div>
|
| 635 |
+
</div>
|
| 636 |
+
</div>
|
| 637 |
+
</div>
|
| 638 |
+
|
| 639 |
+
<!-- Processus d'expert -->
|
| 640 |
+
<div class="expert-process">
|
| 641 |
+
<h3>🔬 Processus de Validation par les Experts</h3>
|
| 642 |
+
<ul>
|
| 643 |
+
<li><strong>Phase d'évaluation individuelle :</strong> Chaque expert évalue indépendamment les scénarios</li>
|
| 644 |
+
<li><strong>Identification des divergences :</strong> Analyse systématique des évaluations divergentes</li>
|
| 645 |
+
<li><strong>Sessions de calibration :</strong> Sessions ciblées pour les évaluations persistemment divergentes</li>
|
| 646 |
+
<li><strong>Établissement de critères communs :</strong> Transformation des jugements individuels en référentiel collectif</li>
|
| 647 |
+
<li><strong>Validation finale :</strong> Approbation consensuelle des évaluations</li>
|
| 648 |
+
</ul>
|
| 649 |
+
</div>
|
| 650 |
+
|
| 651 |
+
<!-- Aperçu des statistiques -->
|
| 652 |
+
<div class="stats-overview" id="statsOverview">
|
| 653 |
+
<!-- Généré dynamiquement -->
|
| 654 |
+
</div>
|
| 655 |
+
|
| 656 |
+
<!-- Graphique principal -->
|
| 657 |
+
<div class="chart-container">
|
| 658 |
+
<h3>📊 Indice Global de Confiance: Avant vs Après</h3>
|
| 659 |
+
<div class="chart-wrapper" id="mainTrustChartContainer">
|
| 660 |
+
<canvas id="mainTrustChart"></canvas>
|
| 661 |
+
</div>
|
| 662 |
+
</div>
|
| 663 |
+
|
| 664 |
+
<!-- Graphique détaillé des métriques -->
|
| 665 |
+
<div class="chart-container">
|
| 666 |
+
<h3>📈 Détail des 5 Métriques (Moyenne)</h3>
|
| 667 |
+
<div class="chart-wrapper" id="detailedMetricsChartContainer">
|
| 668 |
+
<canvas id="detailedMetricsChart"></canvas>
|
| 669 |
+
</div>
|
| 670 |
+
</div>
|
| 671 |
+
|
| 672 |
+
<!-- Graphique d'amélioration -->
|
| 673 |
+
<div class="chart-container">
|
| 674 |
+
<h3>📈 Amélioration par Scénario</h3>
|
| 675 |
+
<div class="chart-wrapper" id="improvementChartContainer">
|
| 676 |
+
<canvas id="improvementChart"></canvas>
|
| 677 |
+
</div>
|
| 678 |
+
</div>
|
| 679 |
+
|
| 680 |
+
<!-- Détail par métrique et scénario -->
|
| 681 |
+
<h2 class="section-title">📋 Détail par Métrique et Scénario</h2>
|
| 682 |
+
<div id="detailedComparison">
|
| 683 |
+
<!-- Généré dynamiquement -->
|
| 684 |
+
</div>
|
| 685 |
+
|
| 686 |
+
<!-- Zone de chargement -->
|
| 687 |
+
<div id="loadingConsensus" class="loading">
|
| 688 |
+
<div class="loading-spinner"></div>
|
| 689 |
+
<p>Chargement des données de comparaison...</p>
|
| 690 |
+
</div>
|
| 691 |
+
</div>
|
| 692 |
+
</div>
|
| 693 |
+
|
| 694 |
+
<script>
|
| 695 |
+
// ============================================
|
| 696 |
+
// DONNÉES ET CONFIGURATION
|
| 697 |
+
// ============================================
|
| 698 |
+
|
| 699 |
+
// Les 5 métriques spécifiques avec leurs acronymes et descriptions
|
| 700 |
+
const metrics = [
|
| 701 |
+
{
|
| 702 |
+
id: 'AR',
|
| 703 |
+
name: 'Authenticité Réflexive (AR)',
|
| 704 |
+
description: 'Capacité du système à refléter une compréhension authentique et contextualisée',
|
| 705 |
+
color: '#3498db'
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
id: 'AE',
|
| 709 |
+
name: 'Alignement Empathique (AE)',
|
| 710 |
+
description: 'Adéquation entre les réponses du système et l\'état émotionnel/utilisateur',
|
| 711 |
+
color: '#2ecc71'
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
id: 'ESR',
|
| 715 |
+
name: 'Encouragement Sensible au Risque (ESR)',
|
| 716 |
+
description: 'Capacité à encourager la prise de risque calculée tout en indiquant les limites',
|
| 717 |
+
color: '#e74c3c'
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
id: 'SDM',
|
| 721 |
+
name: 'Support aux Défis Mentaux (SDM)',
|
| 722 |
+
description: 'Soutien dans la résolution de problèmes complexes et défis cognitifs',
|
| 723 |
+
color: '#f39c12'
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
id: 'SM',
|
| 727 |
+
name: 'Support Métacognitif (SM)',
|
| 728 |
+
description: 'Aide à la réflexion sur ses propres processus de pensée et d\'apprentissage',
|
| 729 |
+
color: '#9b59b6'
|
| 730 |
+
}
|
| 731 |
+
];
|
| 732 |
+
|
| 733 |
+
// Scénarios - seront chargés depuis scenarios_list.json
|
| 734 |
+
let scenariosList = [];
|
| 735 |
+
|
| 736 |
+
// Données initiales de confiance (chargées depuis trust_stats.json)
|
| 737 |
+
let trustStatsData = {};
|
| 738 |
+
|
| 739 |
+
// Données calibrées (depuis localStorage et calibration-trust.json)
|
| 740 |
+
let calibrationData = JSON.parse(localStorage.getItem('calibration-trust')) || {};
|
| 741 |
+
|
| 742 |
+
// Variables pour stocker les instances de graphiques
|
| 743 |
+
let mainChart = null;
|
| 744 |
+
let improvementChart = null;
|
| 745 |
+
let detailedChart = null;
|
| 746 |
+
|
| 747 |
+
// ============================================
|
| 748 |
+
// CHARGEMENT DES SCÉNARIOS DEPUIS JSON
|
| 749 |
+
// ============================================
|
| 750 |
+
|
| 751 |
+
async function loadScenariosFromJSON() {
|
| 752 |
+
try {
|
| 753 |
+
const response = await fetch('scenarios_list.json');
|
| 754 |
+
if (!response.ok) {
|
| 755 |
+
throw new Error(`HTTP error! status: ${response.status}`);
|
| 756 |
+
}
|
| 757 |
+
const data = await response.json();
|
| 758 |
+
|
| 759 |
+
// Vérifier si c'est un tableau ou un objet avec une propriété
|
| 760 |
+
if (Array.isArray(data)) {
|
| 761 |
+
scenariosList = data;
|
| 762 |
+
console.log(`${scenariosList.length} scénarios chargés depuis scenarios_list.json (format tableau)`);
|
| 763 |
+
} else if (data.scenarios && Array.isArray(data.scenarios)) {
|
| 764 |
+
scenariosList = data.scenarios;
|
| 765 |
+
console.log(`${scenariosList.length} scénarios chargés depuis scenarios_list.json (format objet.scenarios)`);
|
| 766 |
+
} else {
|
| 767 |
+
throw new Error('Format de fichier JSON invalide');
|
| 768 |
+
}
|
| 769 |
+
|
| 770 |
+
// S'assurer que tous les scénarios ont les bons IDs
|
| 771 |
+
scenariosList.forEach((scenario, index) => {
|
| 772 |
+
if (!scenario.id) {
|
| 773 |
+
scenario.id = `S${index + 1}`;
|
| 774 |
+
}
|
| 775 |
+
// Normaliser l'ID au format S1, S2, etc.
|
| 776 |
+
if (typeof scenario.id === 'number') {
|
| 777 |
+
scenario.id = `S${scenario.id}`;
|
| 778 |
+
}
|
| 779 |
+
});
|
| 780 |
+
|
| 781 |
+
} catch (error) {
|
| 782 |
+
console.error('Erreur de chargement de scenarios_list.json:', error);
|
| 783 |
+
// Générer des scénarios par défaut
|
| 784 |
+
scenariosList = generateDefaultScenarios();
|
| 785 |
+
console.log(`Utilisation de ${scenariosList.length} scénarios par défaut`);
|
| 786 |
+
}
|
| 787 |
+
}
|
| 788 |
+
|
| 789 |
+
function generateDefaultScenarios() {
|
| 790 |
+
// Générer des scénarios par défaut S1 à S16
|
| 791 |
+
const scenarios = [];
|
| 792 |
+
for (let i = 1; i <= 16; i++) {
|
| 793 |
+
scenarios.push({
|
| 794 |
+
id: `S${i}`,
|
| 795 |
+
name: `Scénario ${i}`,
|
| 796 |
+
description: `Description du scénario ${i}`
|
| 797 |
+
});
|
| 798 |
+
}
|
| 799 |
+
return scenarios;
|
| 800 |
+
}
|
| 801 |
+
|
| 802 |
+
// ============================================
|
| 803 |
+
// CHARGEMENT DES DONNÉES RÉELLES DES FICHIERS JSON
|
| 804 |
+
// ============================================
|
| 805 |
+
|
| 806 |
+
async function loadRealDataFromJSON() {
|
| 807 |
+
try {
|
| 808 |
+
// 1. Charger les données de trust_stats.json pour les valeurs initiales
|
| 809 |
+
const trustResponse = await fetch('trust_stats.json');
|
| 810 |
+
if (trustResponse.ok) {
|
| 811 |
+
const trustData = await trustResponse.json();
|
| 812 |
+
console.log('Données chargées depuis trust_stats.json:', trustData);
|
| 813 |
+
|
| 814 |
+
// Convertir les données de trust_stats.json au bon format
|
| 815 |
+
if (trustData.evaluations && Array.isArray(trustData.evaluations)) {
|
| 816 |
+
trustStatsData = {};
|
| 817 |
+
|
| 818 |
+
trustData.evaluations.forEach(eval => {
|
| 819 |
+
const scenarioId = `S${eval.scenario_id}`;
|
| 820 |
+
|
| 821 |
+
// Normaliser les métriques (RA -> AR, EA -> AE, etc.)
|
| 822 |
+
const metricsData = eval.trust_metrics || {};
|
| 823 |
+
const normalizedMetrics = {
|
| 824 |
+
AR: (metricsData.RA || metricsData.AR || 0) * 20, // Convertir 0-5 à 0-100
|
| 825 |
+
AE: (metricsData.EA || metricsData.AE || 0) * 20,
|
| 826 |
+
ESR: (metricsData.RE || metricsData.ESR || 0) * 20,
|
| 827 |
+
SDM: (metricsData.MCS || metricsData.SDM || 0) * 20,
|
| 828 |
+
SM: (metricsData.MS || metricsData.SM || 0) * 20
|
| 829 |
+
};
|
| 830 |
+
|
| 831 |
+
// Calculer la moyenne
|
| 832 |
+
const values = Object.values(normalizedMetrics);
|
| 833 |
+
const moyenne = values.reduce((a, b) => a + b, 0) / values.length;
|
| 834 |
+
|
| 835 |
+
trustStatsData[scenarioId] = {
|
| 836 |
+
...normalizedMetrics,
|
| 837 |
+
moyenne: moyenne
|
| 838 |
+
};
|
| 839 |
+
});
|
| 840 |
+
|
| 841 |
+
console.log('trustStatsData mis à jour:', trustStatsData);
|
| 842 |
+
}
|
| 843 |
+
}
|
| 844 |
+
|
| 845 |
+
// 2. Charger les données de calibration-trust.json
|
| 846 |
+
const calibrationResponse = await fetch('calibration-trust.json');
|
| 847 |
+
if (calibrationResponse.ok) {
|
| 848 |
+
const calibrationJson = await calibrationResponse.json();
|
| 849 |
+
console.log('Données chargées depuis calibration-trust.json:', calibrationJson);
|
| 850 |
+
|
| 851 |
+
// Extraire les évaluations de tous les experts
|
| 852 |
+
if (calibrationJson.experts && Array.isArray(calibrationJson.experts)) {
|
| 853 |
+
calibrationJson.experts.forEach(expert => {
|
| 854 |
+
if (expert.evaluations && Array.isArray(expert.evaluations)) {
|
| 855 |
+
expert.evaluations.forEach(evaluation => {
|
| 856 |
+
if (evaluation.scenario) {
|
| 857 |
+
// Stocker la dernière évaluation pour chaque scénario
|
| 858 |
+
calibrationData[evaluation.scenario] = evaluation;
|
| 859 |
+
}
|
| 860 |
+
});
|
| 861 |
+
}
|
| 862 |
+
});
|
| 863 |
+
}
|
| 864 |
+
|
| 865 |
+
console.log('calibrationData chargé depuis JSON:', calibrationData);
|
| 866 |
+
|
| 867 |
+
// Mettre à jour localStorage avec les données du fichier
|
| 868 |
+
localStorage.setItem('calibration-trust', JSON.stringify(calibrationData));
|
| 869 |
+
}
|
| 870 |
+
|
| 871 |
+
// 3. S'assurer que tous les scénarios S1-S16 ont des données par défaut
|
| 872 |
+
for (let i = 1; i <= 16; i++) {
|
| 873 |
+
const scenarioId = `S${i}`;
|
| 874 |
+
if (!trustStatsData[scenarioId]) {
|
| 875 |
+
trustStatsData[scenarioId] = {
|
| 876 |
+
AR: 50, AE: 50, ESR: 50, SDM: 50, SM: 50, moyenne: 50
|
| 877 |
+
};
|
| 878 |
+
}
|
| 879 |
+
}
|
| 880 |
+
|
| 881 |
+
} catch (error) {
|
| 882 |
+
console.error('Erreur de chargement des données JSON:', error);
|
| 883 |
+
// Initialiser avec des données par défaut
|
| 884 |
+
for (let i = 1; i <= 16; i++) {
|
| 885 |
+
const scenarioId = `S${i}`;
|
| 886 |
+
trustStatsData[scenarioId] = {
|
| 887 |
+
AR: 50, AE: 50, ESR: 50, SDM: 50, SM: 50, moyenne: 50
|
| 888 |
+
};
|
| 889 |
+
}
|
| 890 |
+
}
|
| 891 |
+
}
|
| 892 |
+
|
| 893 |
+
// ============================================
|
| 894 |
+
// FONCTIONS DE GESTION DES ONGLETS
|
| 895 |
+
// ============================================
|
| 896 |
+
|
| 897 |
+
function switchTab(tabName) {
|
| 898 |
+
document.querySelectorAll('.tab-button').forEach(btn => {
|
| 899 |
+
btn.classList.remove('active');
|
| 900 |
+
});
|
| 901 |
+
document.querySelectorAll('.tab-content').forEach(content => {
|
| 902 |
+
content.classList.remove('active');
|
| 903 |
+
});
|
| 904 |
+
|
| 905 |
+
document.querySelector(`[data-tab="${tabName}"]`).classList.add('active');
|
| 906 |
+
document.getElementById(tabName).classList.add('active');
|
| 907 |
+
|
| 908 |
+
if (tabName === 'consensus') {
|
| 909 |
+
loadConsensusData();
|
| 910 |
+
}
|
| 911 |
+
}
|
| 912 |
+
|
| 913 |
+
// ============================================
|
| 914 |
+
// PARTIE 1 : INTERFACE EXPERT
|
| 915 |
+
// ============================================
|
| 916 |
+
|
| 917 |
+
async function loadScenarios() {
|
| 918 |
+
const select = document.getElementById('scenarioSelect');
|
| 919 |
+
select.innerHTML = '<option value="">Chargement des scénarios...</option>';
|
| 920 |
+
|
| 921 |
+
// Charger les scénarios depuis le fichier JSON
|
| 922 |
+
await loadScenariosFromJSON();
|
| 923 |
+
|
| 924 |
+
// Remplir le select
|
| 925 |
+
select.innerHTML = '<option value="">Sélectionnez un scénario...</option>';
|
| 926 |
+
|
| 927 |
+
scenariosList.forEach(scenario => {
|
| 928 |
+
const option = document.createElement('option');
|
| 929 |
+
option.value = scenario.id;
|
| 930 |
+
option.textContent = `${scenario.id}: ${scenario.name}`;
|
| 931 |
+
select.appendChild(option);
|
| 932 |
+
});
|
| 933 |
+
|
| 934 |
+
// Ajouter un écouteur pour le changement de scénario
|
| 935 |
+
select.addEventListener('change', function() {
|
| 936 |
+
const selectedId = this.value;
|
| 937 |
+
const scenario = scenariosList.find(s => s.id === selectedId);
|
| 938 |
+
|
| 939 |
+
if (scenario) {
|
| 940 |
+
document.getElementById('scenarioDescription').textContent = scenario.description || 'Aucune description disponible';
|
| 941 |
+
document.getElementById('metricsEvaluation').style.display = 'block';
|
| 942 |
+
loadMetricsForScenario(selectedId);
|
| 943 |
+
} else {
|
| 944 |
+
document.getElementById('metricsEvaluation').style.display = 'none';
|
| 945 |
+
document.getElementById('scenarioDescription').textContent = 'Scénario non trouvé';
|
| 946 |
+
}
|
| 947 |
+
});
|
| 948 |
+
|
| 949 |
+
// Sélectionner le premier scénario par défaut
|
| 950 |
+
if (scenariosList.length > 0) {
|
| 951 |
+
setTimeout(() => {
|
| 952 |
+
select.value = scenariosList[0].id;
|
| 953 |
+
select.dispatchEvent(new Event('change'));
|
| 954 |
+
}, 500);
|
| 955 |
+
}
|
| 956 |
+
}
|
| 957 |
+
|
| 958 |
+
function loadMetricsForScenario(scenarioId) {
|
| 959 |
+
const metricsGrid = document.getElementById('metricsGrid');
|
| 960 |
+
metricsGrid.innerHTML = '';
|
| 961 |
+
|
| 962 |
+
// S'assurer que l'ID est au bon format
|
| 963 |
+
const normalizedId = typeof scenarioId === 'number' ? `S${scenarioId}` : scenarioId;
|
| 964 |
+
|
| 965 |
+
const previousCalibration = calibrationData[normalizedId];
|
| 966 |
+
const initialData = trustStatsData[normalizedId];
|
| 967 |
+
|
| 968 |
+
metrics.forEach(metric => {
|
| 969 |
+
const initialValue = initialData ? initialData[metric.id] : 50;
|
| 970 |
+
const previousValue = previousCalibration ? previousCalibration[metric.id] : null;
|
| 971 |
+
const currentValue = previousValue !== null && previousValue !== undefined ? previousValue : initialValue;
|
| 972 |
+
|
| 973 |
+
const metricCard = document.createElement('div');
|
| 974 |
+
metricCard.className = 'metric-card';
|
| 975 |
+
metricCard.style.borderTop = `4px solid ${metric.color}`;
|
| 976 |
+
|
| 977 |
+
metricCard.innerHTML = `
|
| 978 |
+
<h4>${metric.name}</h4>
|
| 979 |
+
<p style="font-size: 14px; color: #666; margin: 10px 0;">${metric.description}</p>
|
| 980 |
+
|
| 981 |
+
<div style="display: flex; justify-content: space-between; margin-bottom: 10px;">
|
| 982 |
+
<span style="color: #e74c3c; font-weight: bold;">
|
| 983 |
+
Initial: ${initialValue}%
|
| 984 |
+
</span>
|
| 985 |
+
${previousValue !== null && previousValue !== undefined ?
|
| 986 |
+
`<span style="color: #27ae60; font-weight: bold;">
|
| 987 |
+
Précédent: ${previousValue}%
|
| 988 |
+
</span>` : ''
|
| 989 |
+
}
|
| 990 |
+
</div>
|
| 991 |
+
|
| 992 |
+
<input type="range"
|
| 993 |
+
min="0"
|
| 994 |
+
max="100"
|
| 995 |
+
value="${currentValue}"
|
| 996 |
+
class="metric-slider"
|
| 997 |
+
data-metric="${metric.id}"
|
| 998 |
+
oninput="updateSliderValue(this, '${metric.id}', '${metric.color}')"
|
| 999 |
+
style="background: linear-gradient(90deg, #e9ecef ${currentValue}%, ${metric.color} ${currentValue}%)">
|
| 1000 |
+
|
| 1001 |
+
<div class="slider-value" id="value-${metric.id}">${currentValue}%</div>
|
| 1002 |
+
|
| 1003 |
+
<div class="metric-badge ${getBadgeClass(currentValue)}" id="badge-${metric.id}">
|
| 1004 |
+
${getBadgeText(currentValue)}
|
| 1005 |
+
</div>
|
| 1006 |
+
`;
|
| 1007 |
+
|
| 1008 |
+
metricsGrid.appendChild(metricCard);
|
| 1009 |
+
});
|
| 1010 |
+
|
| 1011 |
+
// Calculer et afficher l'indice global
|
| 1012 |
+
updateGlobalIndex();
|
| 1013 |
+
|
| 1014 |
+
// Afficher l'évaluation précédente si elle existe
|
| 1015 |
+
if (previousCalibration) {
|
| 1016 |
+
document.getElementById('previousEvaluation').style.display = 'block';
|
| 1017 |
+
const previousMetricsDiv = document.getElementById('previousMetrics');
|
| 1018 |
+
previousMetricsDiv.innerHTML = `
|
| 1019 |
+
<p><strong>Date:</strong> ${previousCalibration.date || 'Non spécifiée'}</p>
|
| 1020 |
+
<p><strong>Expert:</strong> ${previousCalibration.expert || 'Anonyme'}</p>
|
| 1021 |
+
<p><strong>Indice Global:</strong> ${previousCalibration.moyenne || calculateAverage(normalizedId, previousCalibration)}%</p>
|
| 1022 |
+
<div class="metric-details">
|
| 1023 |
+
${metrics.map(m => `
|
| 1024 |
+
<div style="margin: 5px 0;">
|
| 1025 |
+
<span>${m.name}:</span>
|
| 1026 |
+
<span style="float: right; font-weight: bold;">${previousCalibration[m.id] || 0}%</span>
|
| 1027 |
+
<div class="metric-bar">
|
| 1028 |
+
<div class="metric-fill" style="width: ${previousCalibration[m.id] || 0}%; background: ${m.color};"></div>
|
| 1029 |
+
</div>
|
| 1030 |
+
</div>
|
| 1031 |
+
`).join('')}
|
| 1032 |
+
</div>
|
| 1033 |
+
`;
|
| 1034 |
+
} else {
|
| 1035 |
+
document.getElementById('previousEvaluation').style.display = 'none';
|
| 1036 |
+
}
|
| 1037 |
+
}
|
| 1038 |
+
|
| 1039 |
+
function updateSliderValue(slider, metricId, color) {
|
| 1040 |
+
const value = slider.value;
|
| 1041 |
+
document.getElementById(`value-${metricId}`).textContent = `${value}%`;
|
| 1042 |
+
const badge = document.getElementById(`badge-${metricId}`);
|
| 1043 |
+
badge.className = `metric-badge ${getBadgeClass(value)}`;
|
| 1044 |
+
badge.textContent = getBadgeText(value);
|
| 1045 |
+
|
| 1046 |
+
// Mettre à jour le fond du slider
|
| 1047 |
+
slider.style.background = `linear-gradient(90deg, #e9ecef ${value}%, ${color} ${value}%)`;
|
| 1048 |
+
|
| 1049 |
+
// Mettre à jour l'indice global
|
| 1050 |
+
updateGlobalIndex();
|
| 1051 |
+
}
|
| 1052 |
+
|
| 1053 |
+
function updateGlobalIndex() {
|
| 1054 |
+
const sliders = document.querySelectorAll('.metric-slider');
|
| 1055 |
+
let sum = 0;
|
| 1056 |
+
let validSliders = 0;
|
| 1057 |
+
|
| 1058 |
+
sliders.forEach(slider => {
|
| 1059 |
+
const value = parseInt(slider.value);
|
| 1060 |
+
if (!isNaN(value)) {
|
| 1061 |
+
sum += value;
|
| 1062 |
+
validSliders++;
|
| 1063 |
+
}
|
| 1064 |
+
});
|
| 1065 |
+
|
| 1066 |
+
const average = validSliders > 0 ? sum / validSliders : 0;
|
| 1067 |
+
|
| 1068 |
+
document.getElementById('globalIndexValue').textContent = `${average.toFixed(1)}%`;
|
| 1069 |
+
document.getElementById('globalIndexBar').style.width = `${average}%`;
|
| 1070 |
+
|
| 1071 |
+
const badge = document.getElementById('globalIndexBadge');
|
| 1072 |
+
badge.className = `metric-badge ${getBadgeClass(average)}`;
|
| 1073 |
+
badge.textContent = `Indice Global: ${getBadgeText(average)} (${average.toFixed(1)}%)`;
|
| 1074 |
+
}
|
| 1075 |
+
|
| 1076 |
+
function getBadgeClass(value) {
|
| 1077 |
+
if (value >= 80) return 'badge-high';
|
| 1078 |
+
if (value >= 60) return 'badge-medium';
|
| 1079 |
+
return 'badge-low';
|
| 1080 |
+
}
|
| 1081 |
+
|
| 1082 |
+
function getBadgeText(value) {
|
| 1083 |
+
if (value >= 80) return 'Élevé';
|
| 1084 |
+
if (value >= 60) return 'Modéré';
|
| 1085 |
+
return 'Faible';
|
| 1086 |
+
}
|
| 1087 |
+
|
| 1088 |
+
function calculateAverage(scenarioId, data) {
|
| 1089 |
+
const values = metrics.map(m => data[m.id] || 0);
|
| 1090 |
+
const sum = values.reduce((a, b) => a + b, 0);
|
| 1091 |
+
return (sum / values.length).toFixed(1);
|
| 1092 |
+
}
|
| 1093 |
+
|
| 1094 |
+
// ============================================
|
| 1095 |
+
// SAUVEGARDE DE CALIBRATION DANS calibration-trust.json
|
| 1096 |
+
// ============================================
|
| 1097 |
+
|
| 1098 |
+
async function saveCalibration() {
|
| 1099 |
+
const scenarioId = document.getElementById('scenarioSelect').value;
|
| 1100 |
+
|
| 1101 |
+
if (!scenarioId) {
|
| 1102 |
+
showNotification('Veuillez sélectionner un scénario', 'error');
|
| 1103 |
+
return;
|
| 1104 |
+
}
|
| 1105 |
+
|
| 1106 |
+
// Normaliser l'ID du scénario
|
| 1107 |
+
const normalizedId = scenarioId;
|
| 1108 |
+
|
| 1109 |
+
// Demander le nom de l'expert
|
| 1110 |
+
const expertName = prompt('Votre nom (obligatoire pour la sauvegarde):', 'Expert');
|
| 1111 |
+
if (!expertName || expertName.trim() === '') {
|
| 1112 |
+
showNotification('Le nom de l\'expert est obligatoire', 'error');
|
| 1113 |
+
return;
|
| 1114 |
+
}
|
| 1115 |
+
|
| 1116 |
+
// Récupérer les valeurs des sliders
|
| 1117 |
+
const calibration = {
|
| 1118 |
+
scenario: normalizedId,
|
| 1119 |
+
date: new Date().toISOString().split('T')[0],
|
| 1120 |
+
time: new Date().toTimeString().split(' ')[0],
|
| 1121 |
+
expert: expertName.trim(),
|
| 1122 |
+
expert_id: generateExpertId(expertName)
|
| 1123 |
+
};
|
| 1124 |
+
|
| 1125 |
+
// Récupérer les valeurs des métriques
|
| 1126 |
+
metrics.forEach(metric => {
|
| 1127 |
+
const slider = document.querySelector(`[data-metric="${metric.id}"]`);
|
| 1128 |
+
calibration[metric.id] = parseInt(slider.value);
|
| 1129 |
+
});
|
| 1130 |
+
|
| 1131 |
+
// Calculer l'indice global
|
| 1132 |
+
calibration.moyenne = calculateAverage(normalizedId, calibration);
|
| 1133 |
+
|
| 1134 |
+
// Afficher le chargement
|
| 1135 |
+
document.getElementById('loadingExpert').style.display = 'block';
|
| 1136 |
+
|
| 1137 |
+
try {
|
| 1138 |
+
// 1. Sauvegarder dans localStorage (pour l'interface immédiate)
|
| 1139 |
+
calibrationData[normalizedId] = calibration;
|
| 1140 |
+
localStorage.setItem('calibration-trust', JSON.stringify(calibrationData));
|
| 1141 |
+
|
| 1142 |
+
// 2. Sauvegarder dans le fichier calibration-trust.json
|
| 1143 |
+
await saveCalibrationToJSON(calibration);
|
| 1144 |
+
|
| 1145 |
+
// 3. Mettre à jour trustStatsData si nécessaire
|
| 1146 |
+
if (!trustStatsData[normalizedId]) {
|
| 1147 |
+
trustStatsData[normalizedId] = {};
|
| 1148 |
+
}
|
| 1149 |
+
|
| 1150 |
+
document.getElementById('loadingExpert').style.display = 'none';
|
| 1151 |
+
showNotification(`✅ Calibration enregistrée pour ${normalizedId}`, 'success');
|
| 1152 |
+
loadMetricsForScenario(normalizedId);
|
| 1153 |
+
|
| 1154 |
+
// 4. Recharger les données si on est sur l'onglet consensus
|
| 1155 |
+
if (document.getElementById('consensus').classList.contains('active')) {
|
| 1156 |
+
loadConsensusData();
|
| 1157 |
+
}
|
| 1158 |
+
|
| 1159 |
+
} catch (error) {
|
| 1160 |
+
document.getElementById('loadingExpert').style.display = 'none';
|
| 1161 |
+
showNotification(`❌ Erreur: ${error.message}`, 'error');
|
| 1162 |
+
console.error('Erreur sauvegarde calibration:', error);
|
| 1163 |
+
}
|
| 1164 |
+
}
|
| 1165 |
+
|
| 1166 |
+
async function saveCalibrationToJSON(newCalibration) {
|
| 1167 |
+
try {
|
| 1168 |
+
// 1. Charger le fichier existant
|
| 1169 |
+
let existingData = { experts: [] };
|
| 1170 |
+
try {
|
| 1171 |
+
const response = await fetch('calibration-trust.json');
|
| 1172 |
+
if (response.ok) {
|
| 1173 |
+
existingData = await response.json();
|
| 1174 |
+
}
|
| 1175 |
+
} catch (error) {
|
| 1176 |
+
console.log('Fichier calibration-trust.json non trouvé, création d\'un nouveau');
|
| 1177 |
+
}
|
| 1178 |
+
|
| 1179 |
+
// 2. Chercher l'expert existant ou en créer un nouveau
|
| 1180 |
+
const expertName = newCalibration.expert;
|
| 1181 |
+
const expertId = newCalibration.expert_id;
|
| 1182 |
+
let expert = existingData.experts.find(e =>
|
| 1183 |
+
e.expert_id === expertId || e.expert_name === expertName
|
| 1184 |
+
);
|
| 1185 |
+
|
| 1186 |
+
if (!expert) {
|
| 1187 |
+
// Créer un nouvel expert
|
| 1188 |
+
expert = {
|
| 1189 |
+
expert_id: expertId,
|
| 1190 |
+
expert_name: expertName,
|
| 1191 |
+
evaluations: [],
|
| 1192 |
+
last_updated: new Date().toISOString()
|
| 1193 |
+
};
|
| 1194 |
+
existingData.experts.push(expert);
|
| 1195 |
+
}
|
| 1196 |
+
|
| 1197 |
+
// 3. Chercher si une évaluation existe déjà pour ce scénario
|
| 1198 |
+
const existingEvaluationIndex = expert.evaluations.findIndex(
|
| 1199 |
+
eval => eval.scenario === newCalibration.scenario
|
| 1200 |
+
);
|
| 1201 |
+
|
| 1202 |
+
// Générer un ID d'évaluation unique
|
| 1203 |
+
const evaluationId = generateEvaluationId();
|
| 1204 |
+
|
| 1205 |
+
if (existingEvaluationIndex !== -1) {
|
| 1206 |
+
// Mettre à jour l'évaluation existante
|
| 1207 |
+
expert.evaluations[existingEvaluationIndex] = {
|
| 1208 |
+
evaluation_id: evaluationId,
|
| 1209 |
+
...newCalibration
|
| 1210 |
+
};
|
| 1211 |
+
} else {
|
| 1212 |
+
// Ajouter une nouvelle évaluation
|
| 1213 |
+
expert.evaluations.push({
|
| 1214 |
+
evaluation_id: evaluationId,
|
| 1215 |
+
...newCalibration
|
| 1216 |
+
});
|
| 1217 |
+
}
|
| 1218 |
+
|
| 1219 |
+
// 4. Mettre à jour la date de dernière modification
|
| 1220 |
+
expert.last_updated = new Date().toISOString();
|
| 1221 |
+
|
| 1222 |
+
// 5. Sauvegarder le fichier
|
| 1223 |
+
await saveJSONToFile('calibration-trust.json', existingData);
|
| 1224 |
+
|
| 1225 |
+
console.log('Calibration sauvegardée dans calibration-trust.json:', newCalibration);
|
| 1226 |
+
|
| 1227 |
+
} catch (error) {
|
| 1228 |
+
console.error('Erreur sauvegarde dans JSON:', error);
|
| 1229 |
+
throw new Error('Impossible de sauvegarder dans le fichier JSON');
|
| 1230 |
+
}
|
| 1231 |
+
}
|
| 1232 |
+
|
| 1233 |
+
function generateExpertId(expertName) {
|
| 1234 |
+
// Générer un ID d'expert basé sur le nom et la date
|
| 1235 |
+
const cleanName = expertName.toLowerCase()
|
| 1236 |
+
.replace(/\s+/g, '_')
|
| 1237 |
+
.replace(/[^a-z0-9_]/g, '');
|
| 1238 |
+
return `expert_${cleanName}_${Date.now()}`;
|
| 1239 |
+
}
|
| 1240 |
+
|
| 1241 |
+
function generateEvaluationId() {
|
| 1242 |
+
return `eval_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;
|
| 1243 |
+
}
|
| 1244 |
+
|
| 1245 |
+
async function saveJSONToFile(filename, data) {
|
| 1246 |
+
// Dans un environnement réel, cela enverrait les données au serveur
|
| 1247 |
+
// Pour le moment, nous allons simuler la sauvegarde et offrir un téléchargement
|
| 1248 |
+
|
| 1249 |
+
try {
|
| 1250 |
+
// Tentative d'envoi au serveur (si une API existe)
|
| 1251 |
+
const response = await fetch('/api/save_calibration', {
|
| 1252 |
+
method: 'POST',
|
| 1253 |
+
headers: {
|
| 1254 |
+
'Content-Type': 'application/json',
|
| 1255 |
+
},
|
| 1256 |
+
body: JSON.stringify({ filename: filename, data: data })
|
| 1257 |
+
});
|
| 1258 |
+
|
| 1259 |
+
if (response.ok) {
|
| 1260 |
+
const result = await response.json();
|
| 1261 |
+
console.log('Sauvegarde réussie via API:', result);
|
| 1262 |
+
return;
|
| 1263 |
+
}
|
| 1264 |
+
} catch (error) {
|
| 1265 |
+
console.log('API non disponible, sauvegarde locale');
|
| 1266 |
+
}
|
| 1267 |
+
|
| 1268 |
+
// Fallback: Offrir le téléchargement du fichier
|
| 1269 |
+
const dataStr = JSON.stringify(data, null, 2);
|
| 1270 |
+
const dataUri = 'data:application/json;charset=utf-8,' + encodeURIComponent(dataStr);
|
| 1271 |
+
|
| 1272 |
+
const linkElement = document.createElement('a');
|
| 1273 |
+
linkElement.setAttribute('href', dataUri);
|
| 1274 |
+
linkElement.setAttribute('download', filename);
|
| 1275 |
+
linkElement.style.display = 'none';
|
| 1276 |
+
|
| 1277 |
+
document.body.appendChild(linkElement);
|
| 1278 |
+
linkElement.click();
|
| 1279 |
+
document.body.removeChild(linkElement);
|
| 1280 |
+
|
| 1281 |
+
// Afficher un message d'information
|
| 1282 |
+
showNotification(
|
| 1283 |
+
'📥 Fichier calibration-trust.json téléchargé. ' +
|
| 1284 |
+
'Pour une sauvegarde automatique, ajoutez un endpoint /api/save_calibration à votre backend.',
|
| 1285 |
+
'success'
|
| 1286 |
+
);
|
| 1287 |
+
}
|
| 1288 |
+
|
| 1289 |
+
// ============================================
|
| 1290 |
+
// PARTIE 2 : DASHBOARD CONSENSUS
|
| 1291 |
+
// ============================================
|
| 1292 |
+
|
| 1293 |
+
async function loadConsensusData() {
|
| 1294 |
+
document.getElementById('loadingConsensus').style.display = 'block';
|
| 1295 |
+
|
| 1296 |
+
// Charger les données réelles des fichiers JSON
|
| 1297 |
+
await loadRealDataFromJSON();
|
| 1298 |
+
|
| 1299 |
+
// GÉNÉRER DES DONNÉES DE DÉMONSTRATION SI AUCUNE CALIBRATION N'EXISTE
|
| 1300 |
+
if (Object.keys(calibrationData).length === 0) {
|
| 1301 |
+
console.log('Aucune donnée de calibration, génération de données de démonstration...');
|
| 1302 |
+
calibrationData = generateDemoDataFromRealStats();
|
| 1303 |
+
}
|
| 1304 |
+
|
| 1305 |
+
// S'assurer que scenariosList est chargé
|
| 1306 |
+
if (scenariosList.length === 0) {
|
| 1307 |
+
await loadScenariosFromJSON();
|
| 1308 |
+
}
|
| 1309 |
+
|
| 1310 |
+
const calibratedScenarios = Object.keys(calibrationData);
|
| 1311 |
+
const totalScenarios = scenariosList.length;
|
| 1312 |
+
|
| 1313 |
+
// Calculer les statistiques globales BASÉES SUR LES DONNÉES RÉELLES
|
| 1314 |
+
let totalImprovement = 0;
|
| 1315 |
+
let scenariosAbove80 = 0;
|
| 1316 |
+
let maxImprovement = 0;
|
| 1317 |
+
let maxScenario = '';
|
| 1318 |
+
let scenariosWithData = 0;
|
| 1319 |
+
|
| 1320 |
+
calibratedScenarios.forEach(scenarioId => {
|
| 1321 |
+
const before = trustStatsData[scenarioId] ? trustStatsData[scenarioId].moyenne : 0;
|
| 1322 |
+
const after = calibrationData[scenarioId].moyenne;
|
| 1323 |
+
|
| 1324 |
+
// Vérifier que les données existent
|
| 1325 |
+
if (before !== undefined && after !== undefined) {
|
| 1326 |
+
const improvement = after - before;
|
| 1327 |
+
totalImprovement += improvement;
|
| 1328 |
+
scenariosWithData++;
|
| 1329 |
+
|
| 1330 |
+
if (after >= 80) scenariosAbove80++;
|
| 1331 |
+
|
| 1332 |
+
if (improvement > maxImprovement) {
|
| 1333 |
+
maxImprovement = improvement;
|
| 1334 |
+
maxScenario = scenarioId;
|
| 1335 |
+
}
|
| 1336 |
+
}
|
| 1337 |
+
});
|
| 1338 |
+
|
| 1339 |
+
const avgImprovement = scenariosWithData > 0
|
| 1340 |
+
? (totalImprovement / scenariosWithData).toFixed(1)
|
| 1341 |
+
: 0;
|
| 1342 |
+
|
| 1343 |
+
// Mettre à jour les statistiques
|
| 1344 |
+
document.getElementById('statsOverview').innerHTML = `
|
| 1345 |
+
<div class="stat-card">
|
| 1346 |
+
<div class="stat-label">Scénarios calibrés</div>
|
| 1347 |
+
<div class="stat-value">${scenariosWithData}/${totalScenarios}</div>
|
| 1348 |
+
<div class="stat-label">(${Math.round(scenariosWithData/totalScenarios*100)}%)</div>
|
| 1349 |
+
</div>
|
| 1350 |
+
<div class="stat-card">
|
| 1351 |
+
<div class="stat-label">Indice Global Moyen</div>
|
| 1352 |
+
<div class="stat-value">${avgImprovement > 0 ? '+' : ''}${avgImprovement}%</div>
|
| 1353 |
+
<div class="stat-label">d'amélioration</div>
|
| 1354 |
+
</div>
|
| 1355 |
+
<div class="stat-card highlight">
|
| 1356 |
+
<div class="stat-label">Scénarios >80%</div>
|
| 1357 |
+
<div class="stat-value">${scenariosAbove80}/${scenariosWithData || 0}</div>
|
| 1358 |
+
<div class="stat-label">après calibration</div>
|
| 1359 |
+
</div>
|
| 1360 |
+
<div class="stat-card">
|
| 1361 |
+
<div class="stat-label">Amélioration max</div>
|
| 1362 |
+
<div class="stat-value">+${maxImprovement.toFixed(1)}%</div>
|
| 1363 |
+
<div class="stat-label">${maxScenario || '-'}</div>
|
| 1364 |
+
</div>
|
| 1365 |
+
`;
|
| 1366 |
+
|
| 1367 |
+
// Générer les graphiques
|
| 1368 |
+
generateConsensusCharts();
|
| 1369 |
+
|
| 1370 |
+
// Générer le détail par métrique
|
| 1371 |
+
generateDetailedComparison();
|
| 1372 |
+
|
| 1373 |
+
document.getElementById('loadingConsensus').style.display = 'none';
|
| 1374 |
+
}
|
| 1375 |
+
|
| 1376 |
+
function generateDemoDataFromRealStats() {
|
| 1377 |
+
// Générer des données de démonstration BASÉES SUR LES DONNÉES RÉELLES
|
| 1378 |
+
const demoData = {};
|
| 1379 |
+
|
| 1380 |
+
// Prendre les scénarios qui ont des données dans trustStatsData
|
| 1381 |
+
const scenariosWithData = Object.keys(trustStatsData).filter(id =>
|
| 1382 |
+
trustStatsData[id] && trustStatsData[id].moyenne !== undefined
|
| 1383 |
+
);
|
| 1384 |
+
|
| 1385 |
+
// Si pas assez de données, prendre les 8 premiers scénarios
|
| 1386 |
+
const demoScenarios = scenariosWithData.length > 0
|
| 1387 |
+
? scenariosWithData.slice(0, 8)
|
| 1388 |
+
: scenariosList.slice(0, 8).map(s => s.id);
|
| 1389 |
+
|
| 1390 |
+
demoScenarios.forEach(scenarioId => {
|
| 1391 |
+
const baseData = trustStatsData[scenarioId];
|
| 1392 |
+
|
| 1393 |
+
if (baseData) {
|
| 1394 |
+
// Amélioration réaliste basée sur les données existantes
|
| 1395 |
+
const improvementFactor = 0.05 + (Math.random() * 0.2);
|
| 1396 |
+
|
| 1397 |
+
const demoMetrics = {};
|
| 1398 |
+
metrics.forEach(metric => {
|
| 1399 |
+
const baseValue = baseData[metric.id] || 50;
|
| 1400 |
+
demoMetrics[metric.id] = Math.min(100, Math.round(baseValue * (1 + improvementFactor)));
|
| 1401 |
+
});
|
| 1402 |
+
|
| 1403 |
+
const avg = metrics.reduce((sum, metric) => sum + (demoMetrics[metric.id] || 0), 0) / metrics.length;
|
| 1404 |
+
|
| 1405 |
+
demoData[scenarioId] = {
|
| 1406 |
+
scenario: scenarioId,
|
| 1407 |
+
date: new Date().toISOString().split('T')[0],
|
| 1408 |
+
expert: "Expert Démo",
|
| 1409 |
+
expert_id: "expert_demo_1",
|
| 1410 |
+
...demoMetrics,
|
| 1411 |
+
moyenne: avg.toFixed(1)
|
| 1412 |
+
};
|
| 1413 |
+
}
|
| 1414 |
+
});
|
| 1415 |
+
|
| 1416 |
+
console.log('Données de démonstration générées à partir des stats réelles:', demoData);
|
| 1417 |
+
return demoData;
|
| 1418 |
+
}
|
| 1419 |
+
|
| 1420 |
+
function generateConsensusCharts() {
|
| 1421 |
+
const calibratedScenarios = Object.keys(calibrationData);
|
| 1422 |
+
|
| 1423 |
+
// Détruire les anciens graphiques s'ils existent
|
| 1424 |
+
if (mainChart) mainChart.destroy();
|
| 1425 |
+
if (improvementChart) improvementChart.destroy();
|
| 1426 |
+
if (detailedChart) detailedChart.destroy();
|
| 1427 |
+
|
| 1428 |
+
if (calibratedScenarios.length === 0) {
|
| 1429 |
+
// Afficher un message dans chaque conteneur de graphique
|
| 1430 |
+
const noDataHTML = `
|
| 1431 |
+
<div class="no-data-message">
|
| 1432 |
+
<h3>📊 Aucune donnée disponible</h3>
|
| 1433 |
+
<p>Effectuez des calibrations dans l'onglet "Évaluation Expert" pour voir les graphiques ici.</p>
|
| 1434 |
+
<button onclick="switchTab('expert')">
|
| 1435 |
+
Aller à l'évaluation Expert
|
| 1436 |
+
</button>
|
| 1437 |
+
</div>
|
| 1438 |
+
`;
|
| 1439 |
+
|
| 1440 |
+
document.getElementById('mainTrustChartContainer').innerHTML = noDataHTML;
|
| 1441 |
+
document.getElementById('improvementChartContainer').innerHTML = noDataHTML;
|
| 1442 |
+
document.getElementById('detailedMetricsChartContainer').innerHTML = noDataHTML;
|
| 1443 |
+
return;
|
| 1444 |
+
}
|
| 1445 |
+
|
| 1446 |
+
const labels = calibratedScenarios;
|
| 1447 |
+
const beforeData = calibratedScenarios.map(id => trustStatsData[id] ? trustStatsData[id].moyenne : 0);
|
| 1448 |
+
const afterData = calibratedScenarios.map(id => calibrationData[id].moyenne);
|
| 1449 |
+
const improvementData = calibratedScenarios.map((id, i) => afterData[i] - beforeData[i]);
|
| 1450 |
+
const targetLine = Array(calibratedScenarios.length).fill(80);
|
| 1451 |
+
|
| 1452 |
+
// Graphique 1: Indice Global Avant/Après
|
| 1453 |
+
const trustCtx = document.getElementById('mainTrustChart').getContext('2d');
|
| 1454 |
+
mainChart = new Chart(trustCtx, {
|
| 1455 |
+
type: 'bar',
|
| 1456 |
+
data: {
|
| 1457 |
+
labels: labels,
|
| 1458 |
+
datasets: [
|
| 1459 |
+
{
|
| 1460 |
+
label: 'Avant Calibration',
|
| 1461 |
+
data: beforeData,
|
| 1462 |
+
backgroundColor: 'rgba(231, 76, 60, 0.8)',
|
| 1463 |
+
borderColor: 'rgba(231, 76, 60, 1)',
|
| 1464 |
+
borderWidth: 1
|
| 1465 |
+
},
|
| 1466 |
+
{
|
| 1467 |
+
label: 'Après Calibration',
|
| 1468 |
+
data: afterData,
|
| 1469 |
+
backgroundColor: 'rgba(46, 204, 113, 0.8)',
|
| 1470 |
+
borderColor: 'rgba(46, 204, 113, 1)',
|
| 1471 |
+
borderWidth: 1
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
label: 'Seuil Cible (80%)',
|
| 1475 |
+
data: targetLine,
|
| 1476 |
+
type: 'line',
|
| 1477 |
+
fill: false,
|
| 1478 |
+
borderColor: 'rgba(241, 196, 15, 0.9)',
|
| 1479 |
+
borderWidth: 3,
|
| 1480 |
+
borderDash: [5, 5],
|
| 1481 |
+
pointRadius: 0
|
| 1482 |
+
}
|
| 1483 |
+
]
|
| 1484 |
+
},
|
| 1485 |
+
options: {
|
| 1486 |
+
responsive: true,
|
| 1487 |
+
maintainAspectRatio: false,
|
| 1488 |
+
scales: {
|
| 1489 |
+
y: {
|
| 1490 |
+
beginAtZero: true,
|
| 1491 |
+
max: 100,
|
| 1492 |
+
title: {
|
| 1493 |
+
display: true,
|
| 1494 |
+
text: 'Indice Global de Confiance (%)'
|
| 1495 |
+
}
|
| 1496 |
+
}
|
| 1497 |
+
}
|
| 1498 |
+
}
|
| 1499 |
+
});
|
| 1500 |
+
|
| 1501 |
+
// Graphique 2: Amélioration par scénario
|
| 1502 |
+
const improvementCtx = document.getElementById('improvementChart').getContext('2d');
|
| 1503 |
+
improvementChart = new Chart(improvementCtx, {
|
| 1504 |
+
type: 'bar',
|
| 1505 |
+
data: {
|
| 1506 |
+
labels: labels,
|
| 1507 |
+
datasets: [{
|
| 1508 |
+
label: 'Amélioration (%)',
|
| 1509 |
+
data: improvementData,
|
| 1510 |
+
backgroundColor: improvementData.map(value =>
|
| 1511 |
+
value > 30 ? 'rgba(46, 204, 113, 0.8)' :
|
| 1512 |
+
value > 15 ? 'rgba(241, 196, 15, 0.8)' :
|
| 1513 |
+
'rgba(231, 76, 60, 0.8)'
|
| 1514 |
+
),
|
| 1515 |
+
borderColor: improvementData.map(value =>
|
| 1516 |
+
value > 30 ? 'rgba(46, 204, 113, 1)' :
|
| 1517 |
+
value > 15 ? 'rgba(241, 196, 15, 1)' :
|
| 1518 |
+
'rgba(231, 76, 60, 1)'
|
| 1519 |
+
),
|
| 1520 |
+
borderWidth: 1
|
| 1521 |
+
}]
|
| 1522 |
+
},
|
| 1523 |
+
options: {
|
| 1524 |
+
responsive: true,
|
| 1525 |
+
maintainAspectRatio: false,
|
| 1526 |
+
scales: {
|
| 1527 |
+
y: {
|
| 1528 |
+
beginAtZero: true,
|
| 1529 |
+
title: {
|
| 1530 |
+
display: true,
|
| 1531 |
+
text: 'Amélioration (points %)'
|
| 1532 |
+
}
|
| 1533 |
+
}
|
| 1534 |
+
}
|
| 1535 |
+
}
|
| 1536 |
+
});
|
| 1537 |
+
|
| 1538 |
+
// Graphique 3: Détail des 5 métriques (moyennes)
|
| 1539 |
+
const detailedCtx = document.getElementById('detailedMetricsChart').getContext('2d');
|
| 1540 |
+
const metricBeforeData = metrics.map(metric => {
|
| 1541 |
+
const values = calibratedScenarios.map(id =>
|
| 1542 |
+
trustStatsData[id] ? trustStatsData[id][metric.id] || 0 : 0
|
| 1543 |
+
);
|
| 1544 |
+
return values.reduce((a, b) => a + b, 0) / values.length;
|
| 1545 |
+
});
|
| 1546 |
+
|
| 1547 |
+
const metricAfterData = metrics.map(metric => {
|
| 1548 |
+
const values = calibratedScenarios.map(id =>
|
| 1549 |
+
calibrationData[id] ? calibrationData[id][metric.id] || 0 : 0
|
| 1550 |
+
);
|
| 1551 |
+
return values.reduce((a, b) => a + b, 0) / values.length;
|
| 1552 |
+
});
|
| 1553 |
+
|
| 1554 |
+
detailedChart = new Chart(detailedCtx, {
|
| 1555 |
+
type: 'bar',
|
| 1556 |
+
data: {
|
| 1557 |
+
labels: metrics.map(m => m.id),
|
| 1558 |
+
datasets: [
|
| 1559 |
+
{
|
| 1560 |
+
label: 'Avant Calibration',
|
| 1561 |
+
data: metricBeforeData,
|
| 1562 |
+
backgroundColor: metrics.map(m => m.color + '80'),
|
| 1563 |
+
borderColor: metrics.map(m => m.color),
|
| 1564 |
+
borderWidth: 1
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
label: 'Après Calibration',
|
| 1568 |
+
data: metricAfterData,
|
| 1569 |
+
backgroundColor: metrics.map(m => m.color),
|
| 1570 |
+
borderColor: metrics.map(m => m.color),
|
| 1571 |
+
borderWidth: 1
|
| 1572 |
+
}
|
| 1573 |
+
]
|
| 1574 |
+
},
|
| 1575 |
+
options: {
|
| 1576 |
+
responsive: true,
|
| 1577 |
+
maintainAspectRatio: false,
|
| 1578 |
+
scales: {
|
| 1579 |
+
y: {
|
| 1580 |
+
beginAtZero: true,
|
| 1581 |
+
max: 100,
|
| 1582 |
+
title: {
|
| 1583 |
+
display: true,
|
| 1584 |
+
text: 'Score Moyen (%)'
|
| 1585 |
+
}
|
| 1586 |
+
}
|
| 1587 |
+
}
|
| 1588 |
+
}
|
| 1589 |
+
});
|
| 1590 |
+
}
|
| 1591 |
+
|
| 1592 |
+
function generateDetailedComparison() {
|
| 1593 |
+
const calibratedScenarios = Object.keys(calibrationData);
|
| 1594 |
+
console.log('Scénarios calibrés pour la comparaison détaillée:', calibratedScenarios);
|
| 1595 |
+
|
| 1596 |
+
let html = '';
|
| 1597 |
+
|
| 1598 |
+
if (calibratedScenarios.length === 0) {
|
| 1599 |
+
html = `
|
| 1600 |
+
<div class="no-data-message">
|
| 1601 |
+
<h3>📋 Aucune donnée disponible</h3>
|
| 1602 |
+
<p>Effectuez des calibrations dans l'onglet "Évaluation Expert" pour voir les comparaisons détaillées.</p>
|
| 1603 |
+
<button onclick="switchTab('expert')">
|
| 1604 |
+
Aller à l'évaluation Expert
|
| 1605 |
+
</button>
|
| 1606 |
+
</div>
|
| 1607 |
+
`;
|
| 1608 |
+
} else {
|
| 1609 |
+
// Trier les scénarios par ID
|
| 1610 |
+
calibratedScenarios.sort((a, b) => {
|
| 1611 |
+
const numA = parseInt(a.replace('S', ''));
|
| 1612 |
+
const numB = parseInt(b.replace('S', ''));
|
| 1613 |
+
return numA - numB;
|
| 1614 |
+
});
|
| 1615 |
+
|
| 1616 |
+
calibratedScenarios.forEach(scenarioId => {
|
| 1617 |
+
const scenario = scenariosList.find(s => s.id === scenarioId);
|
| 1618 |
+
const before = trustStatsData[scenarioId] || {};
|
| 1619 |
+
const after = calibrationData[scenarioId] || {};
|
| 1620 |
+
|
| 1621 |
+
console.log(`Génération pour ${scenarioId}:`, {before, after});
|
| 1622 |
+
|
| 1623 |
+
html += `
|
| 1624 |
+
<div style="background: white; border-radius: 10px; padding: 20px; margin-bottom: 20px; box-shadow: 0 3px 10px rgba(0,0,0,0.05);">
|
| 1625 |
+
<h4 style="color: #2c3e50; margin-bottom: 15px;">${scenarioId}: ${scenario ? scenario.name : 'Inconnu'}</h4>
|
| 1626 |
+
<p style="color: #666; margin-bottom: 15px; font-style: italic;">${scenario ? scenario.description : 'Pas de description'}</p>
|
| 1627 |
+
<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px;">
|
| 1628 |
+
`;
|
| 1629 |
+
|
| 1630 |
+
metrics.forEach(metric => {
|
| 1631 |
+
// Récupérer les valeurs avec des valeurs par défaut
|
| 1632 |
+
const beforeValue = before[metric.id] || 0;
|
| 1633 |
+
const afterValue = after[metric.id] || 0;
|
| 1634 |
+
const improvement = afterValue - beforeValue;
|
| 1635 |
+
|
| 1636 |
+
// Assurer que les valeurs sont des nombres
|
| 1637 |
+
const safeBeforeValue = Number(beforeValue) || 0;
|
| 1638 |
+
const safeAfterValue = Number(afterValue) || 0;
|
| 1639 |
+
const safeImprovement = safeAfterValue - safeBeforeValue;
|
| 1640 |
+
|
| 1641 |
+
// Calculer les largeurs pour les barres
|
| 1642 |
+
const beforeWidth = Math.min(100, Math.max(0, safeBeforeValue));
|
| 1643 |
+
const improvementWidth = Math.min(100 - beforeWidth, Math.max(0, safeImprovement));
|
| 1644 |
+
|
| 1645 |
+
html += `
|
| 1646 |
+
<div style="padding: 15px; border-radius: 8px; border-left: 4px solid ${metric.color}; background: #f8f9fa;">
|
| 1647 |
+
<div style="font-weight: bold; margin-bottom: 5px; color: ${metric.color};">${metric.id} - ${metric.name.split('(')[0].trim()}</div>
|
| 1648 |
+
<div style="display: flex; justify-content: space-between; margin-bottom: 8px;">
|
| 1649 |
+
<span style="color: #e74c3c; font-size: 14px;">${safeBeforeValue.toFixed(0)}%</span>
|
| 1650 |
+
<span style="color: #27ae60; font-size: 14px;">${safeAfterValue.toFixed(0)}%</span>
|
| 1651 |
+
</div>
|
| 1652 |
+
<div style="height: 6px; background: #e9ecef; border-radius: 3px; margin-bottom: 5px; overflow: hidden;">
|
| 1653 |
+
<div style="height: 100%; width: ${beforeWidth}%; background: ${metric.color}; opacity: 0.5; float: left;"></div>
|
| 1654 |
+
<div style="height: 100%; width: ${improvementWidth}%; background: ${metric.color}; float: left;"></div>
|
| 1655 |
+
</div>
|
| 1656 |
+
<div style="text-align: right; font-size: 12px; color: ${safeImprovement > 0 ? '#27ae60' : '#e74c3c'}; font-weight: bold;">
|
| 1657 |
+
${safeImprovement > 0 ? '+' : ''}${safeImprovement.toFixed(1)}%
|
| 1658 |
+
</div>
|
| 1659 |
+
</div>
|
| 1660 |
+
`;
|
| 1661 |
+
});
|
| 1662 |
+
|
| 1663 |
+
// Calculer les moyennes
|
| 1664 |
+
const beforeAvg = before.moyenne || 0;
|
| 1665 |
+
const afterAvg = after.moyenne || 0;
|
| 1666 |
+
const avgImprovement = afterAvg - beforeAvg;
|
| 1667 |
+
|
| 1668 |
+
html += `
|
| 1669 |
+
</div>
|
| 1670 |
+
<div style="margin-top: 15px; padding-top: 15px; border-top: 1px solid #eee;">
|
| 1671 |
+
<div style="display: flex; justify-content: space-between; align-items: center;">
|
| 1672 |
+
<div>
|
| 1673 |
+
<strong>Indice Global:</strong>
|
| 1674 |
+
<span style="color: #e74c3c; margin-left: 10px; font-weight: bold;">${Number(beforeAvg).toFixed(1)}%</span>
|
| 1675 |
+
<span style="margin: 0 10px; font-weight: bold;">→</span>
|
| 1676 |
+
<span style="color: #27ae60; font-weight: bold;">${Number(afterAvg).toFixed(1)}%</span>
|
| 1677 |
+
</div>
|
| 1678 |
+
<div style="padding: 8px 15px; border-radius: 20px; background: ${avgImprovement > 0 ? '#d4edda' : '#f8d7da'}; color: ${avgImprovement > 0 ? '#155724' : '#721c24'}; font-weight: bold;">
|
| 1679 |
+
${avgImprovement > 0 ? '+' : ''}${Number(avgImprovement).toFixed(1)}%
|
| 1680 |
+
</div>
|
| 1681 |
+
</div>
|
| 1682 |
+
<div style="margin-top: 10px; font-size: 12px; color: #666;">
|
| 1683 |
+
<strong>Expert:</strong> ${after.expert || 'Non spécifié'} |
|
| 1684 |
+
<strong>Date:</strong> ${after.date || 'Non spécifiée'}
|
| 1685 |
+
</div>
|
| 1686 |
+
</div>
|
| 1687 |
+
</div>
|
| 1688 |
+
`;
|
| 1689 |
+
});
|
| 1690 |
+
}
|
| 1691 |
+
|
| 1692 |
+
document.getElementById('detailedComparison').innerHTML = html;
|
| 1693 |
+
console.log('HTML généré pour la comparaison détaillée');
|
| 1694 |
+
}
|
| 1695 |
+
|
| 1696 |
+
// ============================================
|
| 1697 |
+
// FONCTIONS UTILITAIRES
|
| 1698 |
+
// ============================================
|
| 1699 |
+
|
| 1700 |
+
function showNotification(message, type = 'success') {
|
| 1701 |
+
const notification = document.createElement('div');
|
| 1702 |
+
notification.className = `notification ${type}`;
|
| 1703 |
+
notification.textContent = message;
|
| 1704 |
+
document.body.appendChild(notification);
|
| 1705 |
+
|
| 1706 |
+
setTimeout(() => {
|
| 1707 |
+
notification.style.animation = 'slideOut 0.3s ease';
|
| 1708 |
+
setTimeout(() => {
|
| 1709 |
+
document.body.removeChild(notification);
|
| 1710 |
+
}, 300);
|
| 1711 |
+
}, 3000);
|
| 1712 |
+
}
|
| 1713 |
+
|
| 1714 |
+
// ============================================
|
| 1715 |
+
// FONCTIONS D'EXPORT/IMPORT
|
| 1716 |
+
// ============================================
|
| 1717 |
+
|
| 1718 |
+
function exportCalibrationData() {
|
| 1719 |
+
const dataStr = JSON.stringify(calibrationData, null, 2);
|
| 1720 |
+
const dataUri = 'data:application/json;charset=utf-8,'+ encodeURIComponent(dataStr);
|
| 1721 |
+
|
| 1722 |
+
const linkElement = document.createElement('a');
|
| 1723 |
+
linkElement.setAttribute('href', dataUri);
|
| 1724 |
+
linkElement.setAttribute('download', 'calibration-data-export.json');
|
| 1725 |
+
linkElement.click();
|
| 1726 |
+
|
| 1727 |
+
showNotification('Données exportées en JSON', 'success');
|
| 1728 |
+
}
|
| 1729 |
+
|
| 1730 |
+
function importCalibrationData() {
|
| 1731 |
+
const input = document.createElement('input');
|
| 1732 |
+
input.type = 'file';
|
| 1733 |
+
input.accept = '.json';
|
| 1734 |
+
|
| 1735 |
+
input.onchange = function(event) {
|
| 1736 |
+
const file = event.target.files[0];
|
| 1737 |
+
const reader = new FileReader();
|
| 1738 |
+
|
| 1739 |
+
reader.onload = function(e) {
|
| 1740 |
+
try {
|
| 1741 |
+
const importedData = JSON.parse(e.target.result);
|
| 1742 |
+
calibrationData = { ...calibrationData, ...importedData };
|
| 1743 |
+
localStorage.setItem('calibration-trust', JSON.stringify(calibrationData));
|
| 1744 |
+
|
| 1745 |
+
showNotification('Données importées avec succès', 'success');
|
| 1746 |
+
|
| 1747 |
+
if (document.getElementById('consensus').classList.contains('active')) {
|
| 1748 |
+
loadConsensusData();
|
| 1749 |
+
}
|
| 1750 |
+
} catch (error) {
|
| 1751 |
+
showNotification('Erreur lors de l\'import: ' + error.message, 'error');
|
| 1752 |
+
}
|
| 1753 |
+
};
|
| 1754 |
+
|
| 1755 |
+
reader.readAsText(file);
|
| 1756 |
+
};
|
| 1757 |
+
|
| 1758 |
+
input.click();
|
| 1759 |
+
}
|
| 1760 |
+
|
| 1761 |
+
function showCalibrationStructure() {
|
| 1762 |
+
const exampleStructure = {
|
| 1763 |
+
"experts": [
|
| 1764 |
+
{
|
| 1765 |
+
"expert_id": "expert_jean_dupont_1234567890",
|
| 1766 |
+
"expert_name": "Jean Dupont",
|
| 1767 |
+
"evaluations": [
|
| 1768 |
+
{
|
| 1769 |
+
"evaluation_id": "eval_1234567890_abc123",
|
| 1770 |
+
"scenario": "S1",
|
| 1771 |
+
"date": "2024-01-16",
|
| 1772 |
+
"time": "14:30:00",
|
| 1773 |
+
"expert": "Jean Dupont",
|
| 1774 |
+
"expert_id": "expert_jean_dupont_1234567890",
|
| 1775 |
+
"AR": 85,
|
| 1776 |
+
"AE": 82,
|
| 1777 |
+
"ESR": 78,
|
| 1778 |
+
"SDM": 80,
|
| 1779 |
+
"SM": 76,
|
| 1780 |
+
"moyenne": 80.2
|
| 1781 |
+
}
|
| 1782 |
+
],
|
| 1783 |
+
"last_updated": "2024-01-16T14:30:00.000Z"
|
| 1784 |
+
}
|
| 1785 |
+
]
|
| 1786 |
+
};
|
| 1787 |
+
|
| 1788 |
+
alert(`Structure de calibration-trust.json :
|
| 1789 |
+
|
| 1790 |
+
Le fichier doit contenir un tableau "experts" avec :
|
| 1791 |
+
1. expert_id : Identifiant unique de l'expert
|
| 1792 |
+
2. expert_name : Nom de l'expert
|
| 1793 |
+
3. evaluations : Tableau des évaluations
|
| 1794 |
+
4. last_updated : Date de dernière modification
|
| 1795 |
+
|
| 1796 |
+
Chaque évaluation contient :
|
| 1797 |
+
- evaluation_id : ID unique
|
| 1798 |
+
- scenario : ID du scénario (ex: "S1")
|
| 1799 |
+
- date, time : Date et heure
|
| 1800 |
+
- expert : Nom de l'expert
|
| 1801 |
+
- AR, AE, ESR, SDM, SM : Scores 0-100%
|
| 1802 |
+
- moyenne : Moyenne des 5 métriques
|
| 1803 |
+
|
| 1804 |
+
Voir la console pour un exemple complet.`);
|
| 1805 |
+
|
| 1806 |
+
console.log('Exemple de structure calibration-trust.json:', exampleStructure);
|
| 1807 |
+
}
|
| 1808 |
+
|
| 1809 |
+
// ============================================
|
| 1810 |
+
// AJOUT DES BOUTONS D'UTILITAIRE
|
| 1811 |
+
// ============================================
|
| 1812 |
+
|
| 1813 |
+
function addUtilityButtons() {
|
| 1814 |
+
const expertHeader = document.querySelector('#expert header');
|
| 1815 |
+
const consensusHeader = document.querySelector('#consensus header');
|
| 1816 |
+
|
| 1817 |
+
const buttonsHTML = `
|
| 1818 |
+
<div style="margin-top: 20px; display: flex; gap: 10px; flex-wrap: wrap;">
|
| 1819 |
+
<button onclick="showCalibrationStructure()" style="padding: 10px 20px; background: #9b59b6; color: white; border: none; border-radius: 5px; cursor: pointer;">
|
| 1820 |
+
📋 Voir la structure JSON
|
| 1821 |
+
</button>
|
| 1822 |
+
<button onclick="exportCalibrationData()" style="padding: 10px 20px; background: #3498db; color: white; border: none; border-radius: 5px; cursor: pointer;">
|
| 1823 |
+
📥 Exporter les données
|
| 1824 |
+
</button>
|
| 1825 |
+
<button onclick="importCalibrationData()" style="padding: 10px 20px; background: #2ecc71; color: white; border: none; border-radius: 5px; cursor: pointer;">
|
| 1826 |
+
📤 Importer des données
|
| 1827 |
+
</button>
|
| 1828 |
+
<button onclick="location.reload()" style="padding: 10px 20px; background: #e74c3c; color: white; border: none; border-radius: 5px; cursor: pointer;">
|
| 1829 |
+
🔄 Rafraîchir
|
| 1830 |
+
</button>
|
| 1831 |
+
</div>
|
| 1832 |
+
`;
|
| 1833 |
+
|
| 1834 |
+
if (expertHeader) {
|
| 1835 |
+
expertHeader.insertAdjacentHTML('beforeend', buttonsHTML);
|
| 1836 |
+
}
|
| 1837 |
+
|
| 1838 |
+
if (consensusHeader) {
|
| 1839 |
+
consensusHeader.insertAdjacentHTML('beforeend', buttonsHTML);
|
| 1840 |
+
}
|
| 1841 |
+
}
|
| 1842 |
+
|
| 1843 |
+
// ============================================
|
| 1844 |
+
// INITIALISATION DE L'APPLICATION
|
| 1845 |
+
// ============================================
|
| 1846 |
+
|
| 1847 |
+
document.addEventListener('DOMContentLoaded', async function() {
|
| 1848 |
+
// Initialiser les onglets
|
| 1849 |
+
document.querySelectorAll('.tab-button').forEach(button => {
|
| 1850 |
+
button.addEventListener('click', function() {
|
| 1851 |
+
switchTab(this.getAttribute('data-tab'));
|
| 1852 |
+
});
|
| 1853 |
+
});
|
| 1854 |
+
|
| 1855 |
+
// Charger les données réelles AVANT de charger les scénarios
|
| 1856 |
+
await loadRealDataFromJSON();
|
| 1857 |
+
|
| 1858 |
+
// Charger les scénarios depuis JSON
|
| 1859 |
+
await loadScenarios();
|
| 1860 |
+
|
| 1861 |
+
// Ajouter les boutons d'utilitaire
|
| 1862 |
+
setTimeout(addUtilityButtons, 1000);
|
| 1863 |
+
|
| 1864 |
+
// Si on est sur l'onglet consensus, charger les données
|
| 1865 |
+
if (document.getElementById('consensus').classList.contains('active')) {
|
| 1866 |
+
loadConsensusData();
|
| 1867 |
+
}
|
| 1868 |
+
});
|
| 1869 |
+
</script>
|
| 1870 |
+
</body>
|
| 1871 |
+
</html>
|