273 lines
12 KiB
HTML
273 lines
12 KiB
HTML
<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>模型对比结果 - 远光软件微调平台</title>
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<script src="../lib/tailwindcss/tailwind.js"></script>
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<link href="../lib/font-awesome/css/font-awesome.min.css" rel="stylesheet">
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<style>
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.bg-primary { background-color: #1890ff; }
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.text-primary { color: #1890ff; }
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:root { --primary: #1890ff; }
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/* 流式输出光标 */
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.typing-cursor::after {
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content: '|';
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animation: blink 1s infinite;
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color: var(--primary);
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}
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@keyframes blink {
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0%, 50% { opacity: 1; }
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51%, 100% { opacity: 0; }
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}
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</style>
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</head>
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<body class="antialiased bg-gray-50 h-screen flex flex-col">
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<!-- 顶部操作栏 -->
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<div class="bg-white border-b border-gray-200 px-6 py-2 flex items-center justify-end flex-shrink-0">
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<button id="restartBtn" class="px-3 py-1 bg-primary text-white rounded text-sm hover:bg-primary/90 transition-colors">
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<i class="fa fa-refresh mr-1"></i>重新提问
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</button>
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</div>
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<!-- 用户提问显示区 -->
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<div class="px-6 py-4 flex-shrink-0">
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<div class="flex items-start">
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<div class="flex-shrink-0 bg-green-500 rounded-full px-3 py-1 mr-3">
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<span class="text-white text-xs font-medium">用户问题</span>
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</div>
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<div class="bg-green-100 rounded-2xl rounded-tl-sm px-5 py-3 max-w-3xl shadow-sm">
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<span class="text-green-800 text-base leading-relaxed" id="questionText"></span>
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</div>
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</div>
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</div>
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<!-- 模型输出网格（2x2） -->
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<div id="outputGrid" class="grid grid-cols-2 gap-4 flex-1 min-h-0">
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<!-- 输出卡片将通过JS动态生成 -->
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</div>
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<script>
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// 动态获取 API 基础地址
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const getApiBase = () => {
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const protocol = window.location.protocol;
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const hostname = window.location.hostname;
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return `${protocol}//${hostname}:8080/api`;
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};
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const API_BASE = getApiBase();
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// 模拟模型数据（用于演示）
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const mockModels = [
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{ id: 1, name: 'GPT-4', type: 'LLM', description: 'OpenAI GPT-4 大语言模型' },
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{ id: 2, name: 'Claude-3', type: 'LLM', description: 'Anthropic Claude-3 模型' },
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{ id: 3, name: '文心一言', type: 'LLM', description: '百度文心一言大模型' },
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{ id: 4, name: '通义千问', type: 'LLM', description: '阿里通义千问大模型' },
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{ id: 5, name: 'ChatGLM', type: 'LLM', description: '智谱ChatGLM对话模型' },
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{ id: 6, name: '星火认知', type: 'LLM', description: '讯飞星火认知大模型' }
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];
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let allModels = [];
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let selectedModelIds = [];
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let currentStreamingIntervals = [];
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let compareTaskId = null;
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let taskName = '';
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let userQuestion = '';
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// 模拟回复内容
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const mockResponses = [
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"这是一个基于深度学习的自然语言处理模型回答。我可以处理各种复杂的问题，包括代码编写、文本分析、知识问答等多种任务。我的训练数据涵盖了广泛的领域知识，能够提供准确和有用的信息。",
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"您好！我是一个人工智能语言模型，很高兴为您服务。我可以帮助您解答问题、提供建议、进行创意写作等。如果您有任何需要，请随时告诉我，我会尽力提供帮助。",
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"这是一个很有趣的问题！从技术角度来看，我们需要考虑多个因素：数据质量、模型架构、训练策略等。深度学习在近年来取得了巨大进展，但仍然存在一些挑战需要解决。",
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"根据我的理解，这个问题涉及到以下几个方面：首先，需要明确问题的具体背景；其次，要分析相关的技术方案；最后，需要评估实施的成本和收益。建议您先收集更多信息再做决定。"
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];
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// 页面初始化
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async function initPage() {
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const urlParams = new URLSearchParams(window.location.search);
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compareTaskId = urlParams.get('taskId');
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taskName = urlParams.get('taskName') || '对比任务';
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userQuestion = decodeURIComponent(urlParams.get('question') || '');
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// 设置用户提问
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document.getElementById('questionText').textContent = userQuestion;
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// 加载模型列表
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await loadModels();
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// 加载任务数据获取模型列表
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await loadCompareTask();
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// 初始化输出卡片并开始模拟流式输出
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initializeOutputCards();
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simulateStreaming();
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}
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// 加载对比任务数据
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async function loadCompareTask() {
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if (!compareTaskId) return;
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try {
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const response = await fetch(`${API_BASE}/model-compare/${compareTaskId}`);
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const result = await response.json();
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if (result.code === 0) {
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const taskData = Array.isArray(result.data)
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? result.data.find(item => item && item.id == compareTaskId)
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: result.data;
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if (taskData) {
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const modelsField = taskData.models;
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if (modelsField) {
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try {
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if (typeof modelsField === 'string') {
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selectedModelIds = JSON.parse(modelsField);
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} else if (Array.isArray(modelsField)) {
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selectedModelIds = modelsField;
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}
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} catch (e) {
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console.error('解析模型列表失败:', e);
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}
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}
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}
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}
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} catch (error) {
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console.error('加载对比任务失败:', error);
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}
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}
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// 加载模型列表
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async function loadModels() {
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try {
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const response = await fetch(`${API_BASE}/model-manage`);
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const result = await response.json();
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if (result.code === 0) {
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allModels = result.data || [];
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}
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} catch (error) {
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console.error('加载模型失败:', error);
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allModels = mockModels;
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}
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}
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// 初始化输出卡片
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function initializeOutputCards() {
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const grid = document.getElementById('outputGrid');
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const allAvailableModels = [...allModels, ...mockModels];
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// 如果没有选择模型，使用前4个演示模型
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const displayModelIds = selectedModelIds.length > 0
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? selectedModelIds.slice(0, 4)
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: [1, 2, 3, 4];
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grid.innerHTML = displayModelIds.map((modelId, index) => {
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const model = allAvailableModels.find(m => m.id === modelId) || { name: `模型 ${modelId}` };
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const colors = ['bg-blue-100 text-blue-700', 'bg-green-100 text-green-700', 'bg-purple-100 text-purple-700', 'bg-orange-100 text-orange-700'];
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const colorClass = colors[index % colors.length];
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return `
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<div class="bg-white rounded-lg shadow-sm flex flex-col h-full" id="output-${modelId}">
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<div class="flex items-center justify-between px-5 py-3 border-b border-gray-100">
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<span class="px-3 py-1 rounded text-sm font-medium ${colorClass}">${model.name}</span>
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<span id="status-${modelId}" class="text-xs text-gray-400 flex items-center">
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<i class="fa fa-clock-o mr-1"></i>
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等待中
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</span>
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</div>
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<div id="content-${modelId}" class="flex-1 overflow-y-auto p-8 text-base text-gray-600 leading-relaxed min-h-[300px]">
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<span class="text-gray-300">模型即将开始生成回答...</span>
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</div>
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</div>
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`;
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}).join('');
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}
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// 模拟流式输出
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function simulateStreaming() {
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currentStreamingIntervals.forEach(interval => clearInterval(interval));
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currentStreamingIntervals = [];
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// 禁用重新提问按钮
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const btn = document.getElementById('restartBtn');
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if (btn) {
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btn.disabled = true;
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btn.classList.add('opacity-50', 'cursor-not-allowed');
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}
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const displayModelIds = selectedModelIds.length > 0
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? selectedModelIds.slice(0, 4)
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: [1, 2, 3, 4];
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displayModelIds.forEach((modelId, index) => {
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setTimeout(() => {
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streamModelResponse(modelId, index);
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}, index * 500);
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});
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}
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// 流式输出单个模型
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function streamModelResponse(modelId, responseIndex) {
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const contentEl = document.getElementById(`content-${modelId}`);
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const statusEl = document.getElementById(`status-${modelId}`);
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if (!contentEl || !statusEl) return;
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statusEl.innerHTML = '<i class="fa fa-spinner fa-spin mr-1"></i> 生成中...';
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statusEl.classList.remove('text-gray-400');
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statusEl.classList.add('text-primary');
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contentEl.innerHTML = '';
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contentEl.classList.add('typing-cursor');
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const response = mockResponses[responseIndex % mockResponses.length];
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let charIndex = 0;
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const interval = setInterval(() => {
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if (charIndex < response.length) {
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contentEl.textContent = response.substring(0, charIndex + 1);
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charIndex++;
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contentEl.scrollTop = contentEl.scrollHeight;
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} else {
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clearInterval(interval);
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const idx = currentStreamingIntervals.indexOf(interval);
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if (idx > -1) currentStreamingIntervals.splice(idx, 1);
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statusEl.innerHTML = '<i class="fa fa-check-circle text-green-500 mr-1"></i> 完成';
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statusEl.classList.remove('text-primary');
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statusEl.classList.add('text-green-500');
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contentEl.classList.remove('typing-cursor');
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// 所有模型完成时启用按钮
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if (currentStreamingIntervals.length === 0) {
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const btn = document.getElementById('restartBtn');
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if (btn) {
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btn.disabled = false;
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btn.classList.remove('opacity-50', 'cursor-not-allowed');
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}
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}
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}
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}, 30 + Math.random() * 40);
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currentStreamingIntervals.push(interval);
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}
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// 重新提问
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function restartQuestion() {
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window.location.href = `main.html?page=model-compare-chat&id=${compareTaskId}`;
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}
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// 页面加载完成后初始化
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if (document.readyState === 'loading') {
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document.addEventListener('DOMContentLoaded', initPage);
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} else {
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initPage();
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}
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// 直接绑定按钮点击事件（不依赖 DOMContentLoaded，因为页面可能通过 fetch 加载）
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const restartBtn = document.getElementById('restartBtn');
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if (restartBtn) {
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restartBtn.onclick = restartQuestion;
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}
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</script>
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</body>
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</html>
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