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<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Kronos Financial Prediction Web UI</title>
<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/axios/dist/axios.min.js"></script>
<style>
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
min-height: 100vh;
color: #333;
}
.container {
max-width: 1400px;
margin: 0 auto;
padding: 20px;
}
.header {
text-align: center;
margin-bottom: 30px;
color: white;
}
.header h1 {
font-size: 2.5rem;
margin-bottom: 10px;
text-shadow: 2px 2px 4px rgba(0,0,0,0.3);
}
.header p {
font-size: 1.1rem;
opacity: 0.9;
}
.main-content {
display: grid;
grid-template-columns: 1fr 2fr;
gap: 30px;
margin-bottom: 30px;
}
.control-panel {
background: white;
border-radius: 15px;
padding: 25px;
box-shadow: 0 10px 30px rgba(0,0,0,0.2);
height: fit-content;
}
.control-panel h2 {
color: #4a5568;
margin-bottom: 20px;
font-size: 1.5rem;
border-bottom: 2px solid #e2e8f0;
padding-bottom: 10px;
}
.form-group {
margin-bottom: 20px;
}
.form-group label {
display: block;
margin-bottom: 8px;
font-weight: 600;
color: #4a5568;
}
.form-group select,
.form-group input {
width: 100%;
padding: 12px;
border: 2px solid #e2e8f0;
border-radius: 8px;
font-size: 14px;
transition: border-color 0.3s ease;
}
.form-group select:focus,
.form-group input:focus {
outline: none;
border-color: #667eea;
}
/* Prediction quality parameter styles */
.form-group input[type="range"] {
width: 70%;
margin-right: 10px;
}
.form-group input[type="number"] {
width: 100%;
}
.form-group span {
display: inline-block;
min-width: 40px;
font-weight: 600;
color: #667eea;
}
.form-text {
font-size: 12px;
color: #718096;
margin-top: 5px;
}
.btn {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
border: none;
padding: 12px 24px;
border-radius: 8px;
font-size: 16px;
font-weight: 600;
cursor: pointer;
transition: transform 0.2s ease, box-shadow 0.2s ease;
width: 100%;
margin-bottom: 10px;
}
.btn:hover {
transform: translateY(-2px);
box-shadow: 0 5px 15px rgba(0,0,0,0.2);
}
.btn:disabled {
opacity: 0.6;
cursor: not-allowed;
transform: none;
}
.btn-secondary {
background: linear-gradient(135deg, #718096 0%, #4a5568 100%);
}
.btn-success {
background: linear-gradient(135deg, #48bb78 0%, #38a169 100%);
}
.btn-warning {
background: linear-gradient(135deg, #ed8936 0%, #dd6b20 100%);
}
.status {
padding: 15px;
border-radius: 8px;
margin-bottom: 20px;
font-weight: 500;
}
.status.success {
background: #c6f6d5;
color: #22543d;
border: 1px solid #9ae6b4;
}
.status.error {
background: #fed7d7;
color: #742a2a;
border: 1px solid #feb2b2;
}
.status.info {
background: #bee3f8;
color: #2a4365;
border: 1px solid #90cdf4;
}
.status.warning {
background: #fef5e7;
color: #744210;
border: 1px solid #fbd38d;
}
.chart-container {
background: white;
border-radius: 15px;
padding: 25px;
box-shadow: 0 10px 30px rgba(0,0,0,0.2);
}
.chart-container h2 {
color: #4a5568;
margin-bottom: 20px;
font-size: 1.5rem;
border-bottom: 2px solid #e2e8f0;
padding-bottom: 10px;
}
#chart {
width: 100%;
height: 600px;
}
.data-info {
background: #f7fafc;
border: 1px solid #e2e8f0;
border-radius: 8px;
padding: 15px;
margin-bottom: 20px;
}
.data-info h3 {
color: #4a5568;
margin-bottom: 10px;
font-size: 1.1rem;
}
.data-info p {
margin-bottom: 5px;
color: #4a5568;
}
.data-info strong {
color: #2d3748;
}
/* Time window selector styles */
.time-window-container {
background: #f7fafc;
border: 1px solid #e2e8f0;
border-radius: 8px;
padding: 20px;
margin-bottom: 20px;
}
.time-window-container h3 {
color: #4a5568;
margin-bottom: 15px;
font-size: 1.1rem;
}
.time-window-info {
display: flex;
justify-content: space-between;
margin-bottom: 15px;
font-size: 12px;
color: #666;
}
.time-window-slider {
position: relative;
margin-bottom: 10px;
}
.slider-track {
position: relative;
height: 6px;
background: #e2e8f0;
border-radius: 3px;
cursor: pointer;
}
.slider-handle {
position: absolute;
top: -7px;
width: 20px;
height: 20px;
background: #667eea;
border-radius: 50%;
cursor: grab;
border: 2px solid white;
box-shadow: 0 2px 4px rgba(0,0,0,0.2);
z-index: 10;
}
.slider-handle:hover {
background: #5a67d8;
transform: scale(1.1);
}
.slider-handle:active {
cursor: grabbing;
}
.slider-selection {
position: absolute;
height: 6px;
background: #48bb78;
border-radius: 3px;
top: 0;
}
.slider-labels {
display: flex;
justify-content: space-between;
font-size: 11px;
color: #999;
margin-top: 5px;
}
/* Comparison analysis styles */
.comparison-section {
background: #f7fafc;
border: 1px solid #e2e8f0;
border-radius: 8px;
padding: 20px;
margin-top: 20px;
}
.comparison-section h3 {
color: #4a5568;
margin-bottom: 15px;
font-size: 1.1rem;
}
.comparison-info {
background: white;
border: 1px solid #e2e8f0;
border-radius: 6px;
padding: 15px;
margin-bottom: 15px;
}
.comparison-table {
width: 100%;
border-collapse: collapse;
margin-top: 15px;
}
.comparison-table th,
.comparison-table td {
border: 1px solid #e2e8f0;
padding: 8px;
text-align: center;
font-size: 12px;
}
.comparison-table th {
background: #f7fafc;
font-weight: 600;
}
.error-stats {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
gap: 15px;
margin-top: 15px;
}
.error-stat {
background: white;
border: 1px solid #e2e8f0;
border-radius: 6px;
padding: 15px;
text-align: center;
}
.error-stat h4 {
color: #4a5568;
margin-bottom: 5px;
font-size: 0.9rem;
}
.error-stat .value {
font-size: 1.5rem;
font-weight: 600;
color: #667eea;
}
.error-stat .unit {
font-size: 0.8rem;
color: #718096;
}
.loading {
display: none;
text-align: center;
padding: 20px;
}
.loading.show {
display: block;
}
.spinner {
border: 4px solid #f3f3f3;
border-top: 4px solid #667eea;
border-radius: 50%;
width: 40px;
height: 40px;
animation: spin 1s linear infinite;
margin: 0 auto 10px;
}
@keyframes spin {
0% { transform: rotate(0deg); }
100% { transform: rotate(360deg); }
}
.model-info {
background: #e6fffa;
border: 1px solid #81e6d9;
border-radius: 8px;
padding: 15px;
margin-bottom: 20px;
}
.model-info h3 {
color: #234e52;
margin-bottom: 10px;
font-size: 1.1rem;
}
.model-info p {
margin-bottom: 5px;
color: #234e52;
}
.model-info strong {
color: #0f2027;
}
@media (max-width: 768px) {
.main-content {
grid-template-columns: 1fr;
}
.container {
padding: 10px;
}
.header h1 {
font-size: 2rem;
}
}
</style>
</head>
<body>
<div class="container">
<div class="header">
<h1>🚀 Kronos Financial Prediction Web UI</h1>
<p>AI-based financial K-line data prediction analysis platform</p>
</div>
<div class="main-content">
<div class="control-panel">
<h2>🎯 Control Panel</h2>
<!-- Model Selection -->
<div class="form-group">
<label for="model-select">Select Model:</label>
<select id="model-select">
<option value="">Please load available models first</option>
</select>
<small class="form-text">Select the Kronos model to use</small>
</div>
<!-- Device Selection -->
<div class="form-group">
<label for="device-select">Select Device:</label>
<select id="device-select">
<option value="cpu">CPU</option>
<option value="cuda">CUDA (NVIDIA GPU)</option>
<option value="mps">MPS (Apple Silicon)</option>
</select>
<small class="form-text">Select the device to run the model on</small>
</div>
<!-- Model Status -->
<div id="model-status" class="status info" style="display: none;">
Model status information
</div>
<!-- Load Model Button -->
<button id="load-model-btn" class="btn btn-secondary">
🔄 Load Model
</button>
<hr style="margin: 20px 0; border: 1px solid #e2e8f0;">
<!-- Binance Data Selection -->
<div class="form-group">
<label for="symbol-select">选择交易对:</label>
<select id="symbol-select">
<option value="">请先加载交易对列表</option>
</select>
<small class="form-text">选择要分析的加密货币交易对</small>
</div>
<div class="form-group">
<label for="timeframe-select">选择时间周期:</label>
<select id="timeframe-select">
<option value="">请先加载时间周期列表</option>
</select>
<small class="form-text">选择K线数据的时间间隔</small>
</div>
<div class="form-group">
<label for="data-limit">数据数量:</label>
<select id="data-limit">
<option value="400">400条</option>
<option value="1000" selected>1000条</option>
<option value="1500">1500条</option>
</select>
<small class="form-text">获取最近的K线数据条数</small>
</div>
<button id="load-data-btn" class="btn btn-secondary">
📈 获取币安数据
</button>
<!-- Data Information Display -->
<div id="data-info" class="data-info" style="display: none;">
<h3>📊 Data Information</h3>
<p><strong>Rows:</strong> <span id="data-rows">-</span></p>
<p><strong>Columns:</strong> <span id="data-cols">-</span></p>
<p><strong>Time Range:</strong> <span id="data-time-range">-</span></p>
<p><strong>Price Range:</strong> <span id="data-price-range">-</span></p>
<p><strong>Time Frequency:</strong> <span id="data-timeframe">-</span></p>
<p><strong>Prediction Columns:</strong> <span id="data-prediction-cols">-</span></p>
</div>
<hr style="margin: 20px 0; border: 1px solid #e2e8f0;">
<!-- Time Window Selection -->
<div class="form-group">
<label for="lookback-input">回看窗口大小:</label>
<input type="number" id="lookback-input" value="400" min="50" max="1000" step="10">
<small class="form-text">用于预测的历史数据点数量（默认400）</small>
</div>
<!-- Prediction Parameters -->
<div class="form-group">
<label for="lookback">回看窗口大小:</label>
<input type="number" id="lookback" value="400" readonly>
<small class="form-text">自动从上方输入框同步</small>
</div>
<div class="form-group">
<label for="pred-len">Prediction Length:</label>
<input type="number" id="pred-len" value="120" readonly>
<small class="form-text">Fixed at 120 data points</small>
</div>
<!-- Prediction Quality Parameters -->
<div class="form-group">
<label for="temperature">Prediction Temperature (T):</label>
<input type="range" id="temperature" value="1.0" min="0.1" max="2.0" step="0.1">
<span id="temperature-value">1.0</span>
<small class="form-text">Controls prediction randomness, higher values make predictions more diverse, lower values make predictions more conservative</small>
</div>
<div class="form-group">
<label for="top-p">Nucleus Sampling Parameter (top_p):</label>
<input type="range" id="top-p" value="0.9" min="0.1" max="1.0" step="0.1">
<span id="top-p-value">0.9</span>
<small class="form-text">Controls prediction diversity, higher values consider broader probability distributions</small>
</div>
<div class="form-group">
<label for="sample-count">Sample Count:</label>
<input type="number" id="sample-count" value="1" min="1" max="5" step="1">
<small class="form-text">Generate multiple prediction samples to improve quality (recommended 1-3)</small>
</div>
<button id="predict-btn" class="btn btn-success">
🔮 Start Prediction
</button>
<!-- Loading Status -->
<div id="loading" class="loading">
<div class="spinner"></div>
<p>Processing, please wait...</p>
</div>
</div>
<div class="chart-container">
<h2>📈 Prediction Results Chart</h2>
<div id="chart"></div>
<!-- Comparison Analysis -->
<div id="comparison-section" class="comparison-section" style="display: none;">
<h3>📊 Prediction vs Actual Data Comparison</h3>
<div id="comparison-info" class="comparison-info">
<p><strong>Prediction Type:</strong> <span id="prediction-type">-</span></p>
<p><strong>Comparison Data:</strong> <span id="comparison-data">-</span></p>
</div>
<div class="error-stats">
<div class="error-stat">
<h4>Mean Absolute Error</h4>
<div class="value" id="mae">-</div>
<div class="unit">Price Units</div>
</div>
<div class="error-stat">
<h4>Root Mean Square Error</h4>
<div class="value" id="rmse">-</div>
<div class="unit">Price Units</div>
</div>
<div class="error-stat">
<h4>Mean Absolute Percentage Error</h4>
<div class="value" id="mape">-</div>
<div class="unit">%</div>
</div>
</div>
<div class="error-details">
<h4>Detailed Comparison Data:</h4>
<div style="max-height: 300px; overflow-y: auto;">
<table class="comparison-table">
<thead>
<tr>
<th>Time</th>
<th>Actual Open</th>
<th>Predicted Open</th>
<th>Actual High</th>
<th>Predicted High</th>
<th>Actual Low</th>
<th>Predicted Low</th>
<th>Actual Close</th>
<th>Predicted Close</th>
</tr>
</thead>
<tbody id="comparison-tbody">
</tbody>
</table>
</div>
</div>
</div>
</div>
</div>
</div>
<script>
// Global variables
let currentSymbol = null;
let currentInterval = null;
let currentLimit = null;
let currentDataInfo = null;
let availableModels = [];
let modelLoaded = false;
// Initialize after page loads
document.addEventListener('DOMContentLoaded', function() {
initializeApp();
});
// Initialize application
async function initializeApp() {
console.log('🚀 Initializing Kronos Web UI...');
// Load available models
await loadAvailableModels();
// Load symbols and timeframes
await loadSymbols();
await loadTimeframes();
// Set up event listeners
setupEventListeners();
// Initialize lookback input sync
initializeLookbackSync();
// Initialize button states
updatePredictButtonStatus();
console.log('✅ Application initialization completed');
}
// Load available models
async function loadAvailableModels() {
try {
const response = await axios.get('/api/available-models');
if (response.data.model_available) {
availableModels = response.data.models;
populateModelSelect();
console.log('✅ Available models loaded successfully:', availableModels);
} else {
console.warn('⚠️ Kronos model library not available');
showStatus('warning', 'Kronos model library not available, will use simulated prediction');
}
} catch (error) {
console.error('❌ Failed to load available models:', error);
showStatus('error', 'Failed to load available models');
}
}
// Populate model selection dropdown
function populateModelSelect() {
const modelSelect = document.getElementById('model-select');
modelSelect.innerHTML = '<option value="">Please select model</option>';
Object.entries(availableModels).forEach(([key, model]) => {
const option = document.createElement('option');
option.value = key;
option.textContent = `${model.name} (${model.params}) - ${model.description}`;
modelSelect.appendChild(option);
});
}
// Load model
async function loadModel() {
const modelKey = document.getElementById('model-select').value;
const device = document.getElementById('device-select').value;
if (!modelKey) {
showStatus('error', 'Please select a model to load');
return;
}
try {
showLoading(true);
document.getElementById('load-model-btn').disabled = true;
const response = await axios.post('/api/load-model', {
model_key: modelKey,
device: device
});
if (response.data.success) {
modelLoaded = true;
showStatus('success', response.data.message);
updateModelStatus();
updatePredictButtonStatus();
console.log('✅ Model loaded successfully:', response.data.model_info);
} else {
showStatus('error', response.data.error);
}
} catch (error) {
console.error('❌ Model loading failed:', error);
showStatus('error', `Model loading failed: ${error.response?.data?.error || error.message}`);
} finally {
showLoading(false);
document.getElementById('load-model-btn').disabled = false;
}
}
// Update model status
async function updateModelStatus() {
try {
const response = await axios.get('/api/model-status');
const status = response.data;
if (status.loaded) {
showStatus('success', `Model loaded: ${status.current_model.name} on ${status.current_model.device}`);
} else if (status.available) {
showStatus('info', 'Model available but not loaded');
} else {
showStatus('warning', 'Model library not available');
}
} catch (error) {
console.error('❌ Failed to get model status:', error);
}
}
// Load symbols list
async function loadSymbols() {
try {
const response = await axios.get('/api/symbols');
const symbols = response.data;
const symbolSelect = document.getElementById('symbol-select');
symbolSelect.innerHTML = '<option value="">请选择交易对</option>';
symbols.forEach(symbol => {
const option = document.createElement('option');
option.value = symbol.symbol;
option.textContent = symbol.name;
symbolSelect.appendChild(option);
});
console.log('✅ 交易对列表加载成功:', symbols);
} catch (error) {
console.error('❌ 加载交易对列表失败:', error);
showStatus('error', '加载交易对列表失败');
}
}
// Load timeframes list
async function loadTimeframes() {
try {
const response = await axios.get('/api/timeframes');
const timeframes = response.data;
const timeframeSelect = document.getElementById('timeframe-select');
timeframeSelect.innerHTML = '<option value="">请选择时间周期</option>';
timeframes.forEach(timeframe => {
const option = document.createElement('option');
option.value = timeframe.value;
option.textContent = `${timeframe.label} - ${timeframe.description}`;
timeframeSelect.appendChild(option);
});
// 默认选择1小时
timeframeSelect.value = '1h';
console.log('✅ 时间周期列表加载成功:', timeframes);
} catch (error) {
console.error('❌ 加载时间周期列表失败:', error);
showStatus('error', '加载时间周期列表失败');
}
}
// Load Binance data
async function loadData() {
const symbol = document.getElementById('symbol-select').value;
const interval = document.getElementById('timeframe-select').value;
const limit = parseInt(document.getElementById('data-limit').value);
if (!symbol) {
showStatus('error', '请选择交易对');
return;
}
if (!interval) {
showStatus('error', '请选择时间周期');
return;
}
try {
showLoading(true);
document.getElementById('load-data-btn').disabled = true;
const response = await axios.post('/api/load-data', {
symbol: symbol,
interval: interval,
limit: limit
});
if (response.data.success) {
currentSymbol = symbol;
currentInterval = interval;
currentLimit = limit;
currentDataInfo = response.data.data_info;
// 添加调试信息
console.log('🔍 Data loaded, setting variables:');
console.log(' symbol:', symbol, '-> currentSymbol:', currentSymbol);
console.log(' interval:', interval, '-> currentInterval:', currentInterval);
console.log(' limit:', limit, '-> currentLimit:', currentLimit);
console.log(' data_info exists:', !!response.data.data_info);
showDataInfo(response.data.data_info);
showStatus('success', response.data.message);
// Update prediction button status
updatePredictButtonStatus();
console.log('✅ 币安数据加载成功:', response.data.data_info);
} else {
showStatus('error', response.data.error);
}
} catch (error) {
console.error('❌ 加载币安数据失败:', error);
showStatus('error', `加载币安数据失败: ${error.response?.data?.error || error.message}`);
} finally {
showLoading(false);
document.getElementById('load-data-btn').disabled = false;
}
}
// Update prediction button status
function updatePredictButtonStatus() {
const predictBtn = document.getElementById('predict-btn');
// 添加调试信息
console.log('🔍 Updating predict button status:');
console.log(' modelLoaded:', modelLoaded);
console.log(' currentSymbol:', currentSymbol);
console.log(' currentInterval:', currentInterval);
console.log(' currentLimit:', currentLimit);
// 只要选择了 交易对/周期/数量 且模型已加载，即可预测
if (modelLoaded && currentSymbol && currentInterval && currentLimit) {
predictBtn.textContent = '🔮 Start Prediction';
console.log('✅ Predict button enabled');
} else {
if (!modelLoaded) {
predictBtn.textContent = '🔮 请先加载模型';
console.log('❌ Model not loaded');
} else {
predictBtn.textContent = '🔮 请先选择交易对/周期/数量';
console.log('❌ Missing symbol/interval/limit');
}
}
}
// Display data information
function showDataInfo(dataInfo) {
document.getElementById('data-info').style.display = 'block';
document.getElementById('data-rows').textContent = dataInfo.rows;
document.getElementById('data-cols').textContent = dataInfo.columns.length;
// 格式化时间显示（东八区时间，已经是 yyyy-MM-dd HH:mm:ss 格式）
const timeRange = `${dataInfo.start_date} 至 ${dataInfo.end_date} (北京时间)`;
document.getElementById('data-time-range').textContent = timeRange;
document.getElementById('data-price-range').textContent = `${dataInfo.price_range.min.toFixed(4)} - ${dataInfo.price_range.max.toFixed(4)}`;
document.getElementById('data-timeframe').textContent = dataInfo.timeframe;
document.getElementById('data-prediction-cols').textContent = dataInfo.prediction_columns.join(', ');
// Initialize time window slider
initializeTimeWindowSlider(dataInfo);
}
// Lookback window input sync
// Initialize time window slider
function initializeTimeWindowSlider(dataInfo) {
console.log('🔧 Initializing time window slider with data:', dataInfo);
// For now, just log the data info since the slider functionality is not fully implemented
// This prevents the "function not defined" error
}
// Initialize lookback input sync
function initializeLookbackSync() {
const lookbackInput = document.getElementById('lookback-input');
const lookbackDisplay = document.getElementById('lookback');
if (lookbackInput && lookbackDisplay) {
// 同步输入框值到显示框
lookbackInput.addEventListener('input', function() {
lookbackDisplay.value = this.value;
});
// 初始化同步
lookbackDisplay.value = lookbackInput.value;
console.log('✅ Lookback input sync initialized');
}
}
// Update slider based on input fields
function updateSliderFromInputs() {
if (!sliderData) return;
// Fixed window size: 400 + 120 = 520 data points
const lookback = 400;
const predLen = 120;
const windowSize = lookback + predLen; // Fixed at 520
// Calculate slider position
const totalRows = sliderData.totalRows;
if (windowSize > totalRows) {
// If window size exceeds total data amount, show error
showStatus('error', `Insufficient data, need at least ${windowSize} data points, currently only ${totalRows} available`);
return;
}
// Calculate slider position (default select first half of data)
const startPercentage = 0.1; // Start from 10%
const endPercentage = startPercentage + (windowSize / totalRows);
// Update handle positions
updateStartHandle(startPercentage);
updateEndHandle(endPercentage);
// Update display information
updateSliderFromHandles();
}
// Start prediction
async function startPrediction() {
console.log('🔮 Start Prediction button clicked!');
console.log(' modelLoaded:', modelLoaded);
// 直接从下拉框读取选择，不依赖已加载数据
const symbolSel = document.getElementById('symbol-select').value;
const intervalSel = document.getElementById('timeframe-select').value;
const limitSel = parseInt(document.getElementById('data-limit').value);
// 同步到全局（用于按钮状态/日志）
currentSymbol = symbolSel || currentSymbol;
currentInterval = intervalSel || currentInterval;
currentLimit = limitSel || currentLimit;
console.log(' selectedSymbol:', symbolSel, 'selectedInterval:', intervalSel, 'selectedLimit:', limitSel);
if (!symbolSel || !intervalSel || !limitSel) {
showStatus('error', '请先选择交易对、时间周期和数据数量');
return;
}
if (!modelLoaded) {
console.log('❌ Model not loaded');
showStatus('error', '请先加载模型');
return;
}
try {
showLoading(true);
document.getElementById('predict-btn').disabled = true;
const lookback = parseInt(document.getElementById('lookback-input').value) || 400;
const predLen = parseInt(document.getElementById('pred-len').value);
console.log('🔮 Starting prediction with parameters:');
console.log(' lookback:', lookback);
console.log(' predLen:', predLen);
console.log(' symbol:', symbolSel);
console.log(' interval:', intervalSel);
// Get prediction quality parameters
const temperature = parseFloat(document.getElementById('temperature').value);
const topP = parseFloat(document.getElementById('top-p').value);
const sampleCount = parseInt(document.getElementById('sample-count').value);
let predictionParams = {
symbol: symbolSel,
interval: intervalSel,
limit: limitSel,
lookback: lookback,
pred_len: predLen,
temperature: temperature,
top_p: topP,
sample_count: sampleCount
};
console.log('🚀 Starting prediction, parameters:', predictionParams);
const response = await axios.post('/api/predict', predictionParams);
if (response.data.success) {
// Display prediction results
displayPredictionResult(response.data);
showStatus('success', response.data.message);
} else {
showStatus('error', response.data.error);
}
} catch (error) {
console.error('❌ Prediction failed:', error);
showStatus('error', `Prediction failed: ${error.response?.data?.error || error.message}`);
} finally {
showLoading(false);
document.getElementById('predict-btn').disabled = false;
}
}
// Display prediction results
function displayPredictionResult(result) {
// Display chart
const chartData = JSON.parse(result.chart);
// 解码后端返回的 dtype/bdata 压缩数组，转换为原生数组
const decodedChart = decodePlotlyBdata(chartData);
Plotly.newPlot('chart', decodedChart.data, decodedChart.layout);
// Display comparison analysis (if actual data exists)
if (result.has_comparison) {
displayComparisonAnalysis(result);
} else {
document.getElementById('comparison-section').style.display = 'none';
}
}
// 递归解码 Plotly JSON 中的 {dtype, bdata} 字段为原生数组
function decodePlotlyBdata(node) {
if (Array.isArray(node)) {
return node.map(decodePlotlyBdata);
}
if (node && typeof node === 'object') {
if (Object.prototype.hasOwnProperty.call(node, 'bdata') && Object.prototype.hasOwnProperty.call(node, 'dtype')) {
try {
const bytes = atob(node.bdata);
const buffer = new ArrayBuffer(bytes.length);
const view = new Uint8Array(buffer);
for (let i = 0; i < bytes.length; i++) view[i] = bytes.charCodeAt(i);
let typed;
switch (node.dtype) {
case 'f8':
typed = new Float64Array(buffer);
break;
case 'f4':
typed = new Float32Array(buffer);
break;
case 'i4':
typed = new Int32Array(buffer);
break;
case 'u4':
typed = new Uint32Array(buffer);
break;
case 'i2':
typed = new Int16Array(buffer);
break;
case 'u2':
typed = new Uint16Array(buffer);
break;
case 'i1':
typed = new Int8Array(buffer);
break;
case 'u1':
typed = new Uint8Array(buffer);
break;
default:
typed = new Float32Array(buffer);
}
return Array.from(typed);
} catch (e) {
console.warn('Failed to decode bdata, fallback to original node', e);
return node;
}
}
const out = {};
for (const k in node) {
if (Object.prototype.hasOwnProperty.call(node, k)) {
out[k] = decodePlotlyBdata(node[k]);
}
}
return out;
}
return node;
}
// Display comparison analysis
function displayComparisonAnalysis(result) {
document.getElementById('comparison-section').style.display = 'block';
// Update comparison information
document.getElementById('prediction-type').textContent = result.prediction_type;
document.getElementById('comparison-data').textContent = `${result.actual_data.length} actual data points`;
// Calculate error statistics
const errorStats = getPredictionQuality(result.prediction_results, result.actual_data);
// Display error statistics
document.getElementById('mae').textContent = errorStats.mae.toFixed(4);
document.getElementById('rmse').textContent = errorStats.rmse.toFixed(4);
document.getElementById('mape').textContent = errorStats.mape.toFixed(2);
// Fill comparison table
fillComparisonTable(result.prediction_results, result.actual_data);
}
// Calculate prediction quality metrics
function getPredictionQuality(predictions, actuals) {
if (!predictions || !actuals || predictions.length === 0 || actuals.length === 0) {
return { mae: 0, rmse: 0, mape: 0 };
}
const minLen = Math.min(predictions.length, actuals.length);
let mae = 0, rmse = 0, mape = 0;
for (let i = 0; i < minLen; i++) {
const pred = predictions[i];
const act = actuals[i];
// Use closing price to calculate errors
const error = Math.abs(pred.close - act.close);
const percentError = (error / act.close) * 100;
mae += error;
rmse += error * error;
mape += percentError;
}
mae /= minLen;
rmse = Math.sqrt(rmse / minLen);
mape /= minLen;
return { mae, rmse, mape };
}
// Fill comparison table
function fillComparisonTable(predictions, actuals) {
const tbody = document.getElementById('comparison-tbody');
tbody.innerHTML = '';
const minLen = Math.min(predictions.length, actuals.length);
for (let i = 0; i < minLen; i++) {
const pred = predictions[i];
const act = actuals[i];
const row = document.createElement('tr');
row.innerHTML = `
<td>${new Date(pred.timestamp).toLocaleString()}</td>
<td>${act.open.toFixed(4)}</td>
<td>${pred.open.toFixed(4)}</td>
<td>${act.high.toFixed(4)}</td>
<td>${pred.high.toFixed(4)}</td>
<td>${act.low.toFixed(4)}</td>
<td>${pred.low.toFixed(4)}</td>
<td>${act.close.toFixed(4)}</td>
<td>${pred.close.toFixed(4)}</td>
`;
tbody.appendChild(row);
}
}
// Set up event listeners
function setupEventListeners() {
// Load model button
document.getElementById('load-model-btn').addEventListener('click', loadModel);
// Load data button
document.getElementById('load-data-btn').addEventListener('click', loadData);
// Prediction button
document.getElementById('predict-btn').addEventListener('click', startPrediction);
// 选择变化时，同步全局并更新按钮可用性（无需先获取数据）
document.getElementById('symbol-select').addEventListener('change', function() {
currentSymbol = this.value || null;
updatePredictButtonStatus();
});
document.getElementById('timeframe-select').addEventListener('change', function() {
currentInterval = this.value || null;
updatePredictButtonStatus();
});
document.getElementById('data-limit').addEventListener('change', function() {
const v = parseInt(this.value);
currentLimit = isNaN(v) ? null : v;
updatePredictButtonStatus();
});
// Prediction quality parameter sliders
document.getElementById('temperature').addEventListener('input', function() {
document.getElementById('temperature-value').textContent = this.value;
});
document.getElementById('top-p').addEventListener('input', function() {
document.getElementById('top-p-value').textContent = this.value;
});
// Update slider when lookback window size changes
document.getElementById('lookback').addEventListener('input', updateSliderFromInputs);
document.getElementById('pred-len').addEventListener('input', updateSliderFromInputs);
}
// Display status information
function showStatus(type, message) {
const statusDiv = document.getElementById('model-status');
statusDiv.className = `status ${type}`;
statusDiv.textContent = message;
statusDiv.style.display = 'block';
// Auto-hide
setTimeout(() => {
statusDiv.style.display = 'none';
}, 5000);
}
// Show/hide loading status
function showLoading(show) {
const loadingDiv = document.getElementById('loading');
if (show) {
loadingDiv.classList.add('show');
} else {
loadingDiv.classList.remove('show');
}
}
</script>
</body>
</html>
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