Spaces:
Running
Running
File size: 19,983 Bytes
3d94bef 924c40e 3d94bef |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 |
// script.js
// Set the base URL for your deployed Cloudflare Worker API
// *** IMPORTANT: REPLACE THIS WITH THE ACTUAL URL OF YOUR DEPLOYED CLOUDFLARE WORKER ***
const CLOUDFLARE_WORKER_API_BASE_URL = 'https://dmimapiworker.dmimx.workers.dev';
// Global state, will be populated by fetch calls
let allTrends = [];
let userData = {
dmimBalance: 0,
savedTrends: []
};
let currentSentimentTrend = null;
// Static metadata for categories (icons, colors) - these are frontend-only display properties
const performanceCategoriesMeta = {
music: { name: "Music", icon: '<i class="fas fa-music text-purple-500"></i>', color: 'bg-purple-500' },
theater: { name: "Theater", icon: '<i class="fas fa-theater-masks text-yellow-500"></i>', color: 'bg-yellow-500' },
dance: { name: "Dance", icon: '<i class="fas fa-child text-pink-500"></i>', color: 'bg-pink-500' },
comedy: { name: "Comedy", icon: '<i class="fas fa-laugh-squint text-blue-500"></i>', color: 'bg-blue-500' },
emerging: { name: "Emerging", icon: '<i class="fas fa-star text-green-500"></i>', color: 'bg-green-500' }
};
// Helper to get category metadata
function getCategoryMeta(categoryKey) {
return performanceCategoriesMeta[categoryKey] || { name: categoryKey, icon: '<i class="fas fa-hashtag"></i>', color: 'bg-gray-500' };
}
// Function to calculate market share percentage with sentiment adjustment
function calculateMarketShare(trend) {
const totalAllSearches = allTrends.reduce((sum, t) => sum + t.current_searches, 0);
const globalPercentage = totalAllSearches > 0 ? (trend.current_searches / totalAllSearches) * 100 : 0;
const rawChange = trend.previous_searches > 0
? ((trend.current_searches - trend.previous_searches) / trend.previous_searches) * 100
: trend.current_searches > 0 ? 100 : 0;
const sentimentToUse = trend.sentiment || 0;
const sentimentMultiplier = 1 + (sentimentToUse / 200);
const adjustedChange = rawChange * sentimentMultiplier;
return {
percentage: adjustedChange > 0 ? globalPercentage.toFixed(2) : (globalPercentage * sentimentMultiplier).toFixed(2), // Apply sentiment to displayed percentage too
change: adjustedChange.toFixed(2),
rawChange: rawChange.toFixed(2),
category: trend.category,
sentiment: sentimentToUse,
sentimentHeadline: trend.sentiment_headline || ""
};
}
// Helper functions for CSS classes and labels
function getPercentageClass(change) {
const numChange = parseFloat(change);
if (numChange > 0) return 'percentage-up';
if (numChange < 0) return 'percentage-down';
return 'percentage-neutral';
}
function getSentimentClass(sentiment) {
const numSentiment = parseInt(sentiment);
if (numSentiment > 20) return 'sentiment-positive';
if (numSentiment < -20) return 'sentiment-negative';
return 'sentiment-neutral';
}
function getSentimentLabel(sentiment) {
const numSentiment = parseInt(sentiment);
if (numSentiment > 20) return 'Positive';
if (numSentiment < -20) return 'Negative';
return 'Neutral';
}
function getPlatformIcon(platform) {
return getCategoryMeta(platform).icon;
}
// Function to render trending cards
function renderTrendingCards() {
const container = document.getElementById('trendingCardsContainer');
container.innerHTML = '';
const topTrends = [...allTrends].sort((a, b) => b.current_searches - a.current_searches).slice(0, 8);
topTrends.forEach(item => {
const marketShare = calculateMarketShare(item);
const percentageClass = getPercentageClass(marketShare.change);
const sentimentClass = getSentimentClass(item.sentiment);
const categoryMeta = getCategoryMeta(item.category);
const card = document.createElement('div');
card.className = `trend-card bg-white rounded-lg shadow-sm p-4 h-40 flex flex-col justify-between transition cursor-pointer ${sentimentClass}`;
card.innerHTML = `
<div class="flex items-start justify-between mb-2">
<div>
<span class="inline-flex items-center bg-gray-100 text-gray-800 text-xs px-2 py-1 rounded-full">
${getPlatformIcon(item.category)}
<span class="ml-1">${item.hashtag}</span>
</span>
</div>
<span class="inline-flex items-center bg-gray-100 text-gray-800 text-xs px-2 py-1 rounded-full">
<i class="fas fa-chart-line ${percentageClass} mr-1"></i>
${marketShare.percentage}%
<span class="ml-1 ${percentageClass}">(${marketShare.change > 0 ? '+' : ''}${marketShare.change}%)</span>
</span>
</div>
<div class="flex justify-between items-center mb-3">
<span class="text-xs text-gray-500">${item.current_searches.toLocaleString()} searches</span>
<span class="text-xs px-2 py-1 rounded-full ${categoryMeta.color} text-white">
${categoryMeta.name}
</span>
</div>
<div class="flex justify-between items-center text-xs text-gray-500">
<span>
<span class="${getSentimentClass(item.sentiment).replace('sentiment-', 'text-')}">
<i class="fas ${item.sentiment > 20 ? 'fa-smile' : item.sentiment < -20 ? 'fa-frown' : 'fa-meh'}"></i>
${getSentimentLabel(item.sentiment)}
</span>
</span>
<button class="save-trend-btn text-gray-400 hover:text-dmim-bg" data-hashtag="${item.hashtag}">
<i class="fas fa-bookmark"></i> Save
</button>
</div>
`;
container.appendChild(card);
card.addEventListener('click', function() {
openSentimentModal(item.hashtag);
});
});
document.querySelectorAll('.save-trend-btn').forEach(btn => {
btn.addEventListener('click', function(e) {
e.stopPropagation();
const hashtag = this.getAttribute('data-hashtag');
saveTrend(hashtag);
});
});
}
// Function to render saved trends
function renderSavedTrends() {
const container = document.getElementById('savedTrendsContainer');
container.innerHTML = '';
const trendSelect = document.getElementById('trendSelect');
trendSelect.innerHTML = '<option value="">-- Select a saved trend --</option>';
userData.savedTrends.forEach(trend => {
const marketShare = calculateMarketShare(trend);
const sentimentClass = getSentimentClass(trend.user_sentiment !== null ? trend.user_sentiment : trend.sentiment);
const categoryMeta = getCategoryMeta(trend.category);
const element = document.createElement('div');
element.className = `flex items-center p-3 rounded-lg bg-white shadow-sm cursor-pointer hover:bg-gray-50 ${sentimentClass}`;
element.innerHTML = `
<div class="flex-shrink-0 mr-3">
<div class="w-8 h-8 rounded-full flex items-center justify-center text-white ${categoryMeta.color}">
${getPlatformIcon(trend.category)}
</div>
</div>
<div class="flex-1">
<div class="flex items-center">
<h4 class="font-medium text-sm">${trend.hashtag}</h4>
${trend.staked_amount > 0 ? '<span class="ml-1 text-green-500"><i class="fas fa-check-circle"></i></span>' : ''}
</div>
<div class="flex items-center">
<p class="text-gray-500 text-xs mr-2">${categoryMeta.name}</p>
<span class="text-xs ${percentageClass}">
${marketShare.percentage}% (${marketShare.change > 0 ? '+' : ''}${marketShare.change}%)
</span>
</div>
</div>
<button class="text-gray-500 hover:text-dmim-bg sentiment-btn" data-hashtag="${trend.hashtag}">
<i class="fas fa-ellipsis-v"></i>
</button>
`;
container.appendChild(element);
const option = document.createElement('option');
option.value = trend.hashtag;
option.textContent = trend.hashtag;
trendSelect.appendChild(option);
element.addEventListener('click', function() {
openSentimentModal(trend.hashtag);
});
});
document.getElementById('dmimBalance').textContent = userData.dmimBalance + ' DMIM';
document.getElementById('dmimBalanceDisplay').textContent = userData.dmimBalance + ' DMIM';
}
// Function to open sentiment modal
async function openSentimentModal(hashtag) {
currentSentimentTrend = hashtag;
const trendData = allTrends.find(t => t.hashtag === hashtag);
if (!trendData) {
showToast('Trend data not found for sentiment adjustment.');
return;
}
document.getElementById('sentimentTrendName').textContent = hashtag;
document.getElementById('sentimentSlider').value = trendData.user_sentiment !== null ? trendData.user_sentiment : trendData.sentiment;
document.getElementById('sentimentHeadline').value = trendData.user_sentiment_headline || trendData.sentiment_headline || "";
updateSentimentSlider(document.getElementById('sentimentSlider').value);
document.getElementById('sentimentModal').classList.remove('hidden');
}
// Function to update sentiment slider appearance
function updateSentimentSlider(value) {
const slider = document.getElementById('sentimentSlider');
slider.value = value;
slider.classList.remove('positive', 'negative', 'neutral');
if (value > 20) {
slider.classList.add('positive');
} else if (value < -20) {
slider.classList.add('negative');
} else {
slider.classList.add('neutral');
}
const impactText = document.getElementById('sentimentImpactText');
if (value > 20) {
impactText.textContent = `Positive sentiment will boost growth by ${Math.round(value/2)}%.`;
impactText.className = "text-sm text-green-600";
} else if (value < -20) {
impactText.textContent = `Negative sentiment will reduce growth by ${Math.round(Math.abs(value)/2)}%.`;
impactText.className = "text-sm text-red-600";
} else {
impactText.textContent = "Neutral sentiment will not affect trend growth.";
impactText.className = "text-sm text-gray-600";
}
}
// Function to show search results
async function showSearchResults(query) {
const container = document.getElementById('searchResultsContainer');
container.innerHTML = '<p class="text-center text-gray-500 mt-8">Searching...</p>';
if (!query) {
container.innerHTML = '';
return;
}
try {
const response = await fetch(`${CLOUDFLARE_WORKER_API_BASE_URL}/search?query=${encodeURIComponent(query)}`);
if (!response.ok) {
const errorData = await response.json();
throw new Error(errorData.error || `HTTP error! status: ${response.status}`);
}
const results = await response.json();
container.innerHTML = '';
if (results.length === 0) {
container.innerHTML = '<p class="text-center text-gray-500 mt-8">No results found. Consider adding it as a new trend!</p>';
showToast(`No results found for ${query}`);
return;
}
results.forEach(item => {
const marketShare = calculateMarketShare(item);
const percentageClass = getPercentageClass(marketShare.change);
const sentimentClass = getSentimentClass(item.sentiment);
const categoryMeta = getCategoryMeta(item.category);
const card = document.createElement('div');
card.className = `trend-card bg-white rounded-lg shadow-sm p-4 h-40 flex flex-col justify-between transition cursor-pointer ${sentimentClass}`;
card.innerHTML = `
<div class="flex items-start justify-between mb-2">
<div>
<span class="inline-flex items-center bg-gray-100 text-gray-800 text-xs px-2 py-1 rounded-full">
${getPlatformIcon(item.category)}
<span class="ml-1">${item.hashtag}</span>
</span>
</div>
<span class="inline-flex items-center bg-gray-100 text-gray-800 text-xs px-2 py-1 rounded-full">
<i class="fas fa-chart-line ${percentageClass} mr-1"></i>
${marketShare.percentage}%
<span class="ml-1 ${percentageClass}">(${marketShare.change > 0 ? '+' : ''}${marketShare.change}%)</span>
</span>
</div>
<div class="flex justify-between items-center mb-3">
<span class="text-xs text-gray-500">${item.current_searches.toLocaleString()} searches</span>
<span class="text-xs px-2 py-1 rounded-full ${categoryMeta.color} text-white">
${categoryMeta.name}
</span>
</div>
<div class="flex justify-between items-center text-xs text-gray-500">
<span>
<span class="${getSentimentClass(item.sentiment).replace('sentiment-', 'text-')}">
<i class="fas ${item.sentiment > 20 ? 'fa-smile' : item.sentiment < -20 ? 'fa-frown' : 'fa-meh'}"></i>
${getSentimentLabel(item.sentiment)}
</span>
</span>
<button class="save-trend-btn text-gray-400 hover:text-dmim-bg" data-hashtag="${item.hashtag}">
<i class="fas fa-bookmark"></i> Save
</button>
</div>
`;
container.appendChild(card);
card.addEventListener('click', function() {
openSentimentModal(item.hashtag);
});
});
document.querySelectorAll('.save-trend-btn').forEach(btn => {
btn.addEventListener('click', function(e) {
e.stopPropagation();
const hashtag = this.getAttribute('data-hashtag');
saveTrend(hashtag);
});
});
showToast(`Found ${results.length} results for ${query}`);
} catch (error) {
console.error("Error searching trends:", error);
showToast(`Error searching for ${query}: ${error.message}`);
container.innerHTML = '<p class="text-center text-red-500 mt-8">Failed to fetch search results.</p>';
}
}
// Function to save a trend (calls backend API)
async function saveTrend(hashtag) {
if (userData.savedTrends.some(t => t.hashtag === hashtag)) {
showToast('This trend is already saved');
return;
}
try {
const response = await fetch(`${CLOUDFLARE_WORKER_API_BASE_URL}/trends/${encodeURIComponent(hashtag)}/save`, {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
});
if (!response.ok) {
const errorData = await response.json();
throw new Error(errorData.error || `HTTP error! status: ${response.status}`);
}
await initApp();
showToast(`${hashtag} saved to your library`);
} catch (error) {
console.error("Error saving trend:", error);
showToast(`Error saving ${hashtag}: ${error.message}`);
}
}
// Function to stake DMIM to a trend (calls backend API)
async function stakeDmim(hashtag, amount) {
if (!hashtag || !amount || amount <= 0) {
showToast('Please select a trend and enter a valid amount');
return;
}
if (amount > userData.dmimBalance) {
showToast('Insufficient DMIM balance');
return;
}
try {
const response = await fetch(`${CLOUDFLARE_WORKER_API_BASE_URL}/trends/${encodeURIComponent(hashtag)}/stake`, {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ amount: amount })
});
if (!response.ok) {
const errorData = await response.json();
throw new Error(errorData.error || `HTTP error! status: ${response.status}`);
}
userData.dmimBalance -= amount; // Optimistic update
await initApp();
showToast(`Staked ${amount} DMIM to ${hashtag}`);
} catch (error) {
console.error("Error staking DMIM:", error);
showToast(`Error staking DMIM to ${hashtag}: ${error.message}`);
}
}
// Function to add DMIM tokens (client-side simulation for demo)
async function addDmim(amount) {
userData.dmimBalance += amount;
renderSavedTrends();
showToast(`Added ${amount} DMIM to your balance`);
}
// Function to save sentiment for a trend (calls backend API)
async function saveSentiment(hashtag, sentiment, headline) {
try {
const response = await fetch(`${CLOUDFLARE_WORKER_API_BASE_URL}/trends/${encodeURIComponent(hashtag)}/sentiment`, {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ sentiment: sentiment, headline: headline })
});
if (!response.ok) {
const errorData = await response.json();
throw new Error(errorData.error || `HTTP error! status: ${response.status}`);
}
await initApp();
showToast(`Sentiment updated for ${hashtag}`);
} catch (error) {
console.error("Error saving sentiment:", error);
showToast(`Error updating sentiment for ${hashtag}: ${error.message}`);
} finally {
document.getElementById('sentimentModal').classList.add('hidden');
}
}
// Initialize the app - fetches all data from backend
async function initApp() {
try {
// Fetch all trends
const trendsResponse = await fetch(`${CLOUDFLARE_WORKER_API_BASE_URL}/trends`);
if (!trendsResponse.ok) {
const errorData = await trendsResponse.json();
throw new Error(errorData.error || `Failed to fetch trends with status: ${trendsResponse.status}`);
}
allTrends = await trendsResponse.json();
// Filter saved trends for the local userData object
userData.savedTrends = allTrends.filter(t => t.is_saved_by_user);
// Fetch DMIM balance
const dmimResponse = await fetch(`${CLOUDFLARE_WORKER_API_BASE_URL}/dmim_balance`);
if (dmimResponse.ok) {
const dmimData = await dmimResponse.json();
userData.dmimBalance = dmimData.balance;
} else {
console.warn("Could not fetch DMIM balance, using default for demo.");
userData.dmimBalance = 1000;
}
renderTrendingCards();
renderSavedTrends();
} catch (error) {
console.error("Failed to initialize app from backend:", error);
showToast(`Failed to load data: ${error.message}. Please try again.`);
}
}
// --- Event Listeners ---
// Tab switching functionality
document.querySelectorAll('.tab-button').forEach(button => {
button.addEventListener('click', function() {
document.querySelectorAll('.tab-button').forEach(btn => {
btn.classList.remove('active', 'text-dmim-bg');
btn.classList.add('text-gray-500');
});
this.classList.add('active', 'text-dmim-bg');
this.classList.remove('text-gray-500');
document.querySelectorAll('#mainContent > div').forEach(tab => {
tab.classList.add('hidden');
|