sanbuphy
3af119a598
- 新增 Vibe Coding 全栈相关演示组件 (DeveloperSkillShift, FrontendTriad, BackendCore 等) - 新增 RAG 相关组件 (RAGPipeline, ChunkingStrategy, Retrieval 等) - 新增 Embedding & Vector 相关组件 (EmbeddingConcept, VectorSimilarity 等) - 新增 AI Native App 设计组件 (AINativeArch, PromptDesign 等) - 新增 Infrastructure as Code 组件 (IaCConcept, TerraformWorkflow 等) - 新增 DNS & HTTPS 演示组件 (DnsResolution, HttpsHandshake 等) - 新增 Model Finetuning 组件 (FinetuningPipeline 等) - 更新多个章节的 markdown 内容，集成交互式演示
302 lines
11 KiB
Vue
302 lines
11 KiB
Vue
<template>
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<div class="ux-demo">
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<div class="header">
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<div class="title">AI 原生交互模式</div>
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<div class="subtitle">点击卡片，体验每种 AI 交互模式的效果</div>
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</div>
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<div class="pattern-grid">
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<div
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v-for="p in patterns"
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:key="p.id"
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:class="['pattern-card', { active: activePattern === p.id }]"
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@click="activatePattern(p.id)"
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>
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<div class="card-icon">{{ p.icon }}</div>
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<div class="card-name">{{ p.name }}</div>
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<div class="card-desc">{{ p.brief }}</div>
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</div>
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</div>
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<div v-if="activePattern" class="preview-area">
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<div class="preview-header">
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<span>{{ currentPattern.icon }} {{ currentPattern.name }} 演示</span>
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<button class="replay-btn" @click="replayDemo">🔄 重播</button>
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</div>
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<!-- 流式输出演示 -->
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<div v-if="activePattern === 'streaming'" class="demo-box">
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<div class="chat-bubble ai">
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<span class="stream-text">{{ streamText }}</span>
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<span v-if="isStreaming" class="cursor-blink">|</span>
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</div>
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<div class="demo-note">逐字输出，用户无需等待完整响应</div>
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</div>
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<!-- 加载状态演示 -->
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<div v-if="activePattern === 'loading'" class="demo-box">
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<div class="loading-stages">
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<div
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v-for="(s, idx) in loadingStages"
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:key="idx"
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:class="['stage', { done: loadingStep > idx, current: loadingStep === idx }]"
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>
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<span class="stage-icon">
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{{ loadingStep > idx ? '✅' : loadingStep === idx ? '⏳' : '⬜' }}
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</span>
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<span>{{ s }}</span>
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</div>
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</div>
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<div class="demo-note">分阶段展示进度，而非单一的"加载中"</div>
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</div>
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<!-- 置信度指示器演示 -->
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<div v-if="activePattern === 'confidence'" class="demo-box">
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<div class="confidence-list">
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<div v-for="c in confidenceItems" :key="c.text" class="conf-item">
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<div class="conf-bar-wrap">
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<div
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class="conf-bar"
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:style="{ width: c.score + '%', background: c.color }"
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/>
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</div>
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<div class="conf-score">{{ c.score }}%</div>
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<div class="conf-label">{{ c.level }}</div>
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<div class="conf-text">{{ c.text }}</div>
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</div>
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</div>
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<div class="demo-note">让用户知道 AI 对自己的回答有多"确定"</div>
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</div>
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<!-- 降级处理演示 -->
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<div v-if="activePattern === 'fallback'" class="demo-box">
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<div class="fallback-flow">
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<div :class="['fb-step', { active: fallbackStep >= 0 }]">
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<span class="fb-icon">🤖</span>
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<span>AI 尝试回答...</span>
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</div>
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<div class="fb-arrow" v-if="fallbackStep >= 1">↓ 检测到不确定</div>
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<div :class="['fb-step warn', { active: fallbackStep >= 1 }]">
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<span class="fb-icon">⚠️</span>
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<span>提示用户：此回答可能不准确</span>
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</div>
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<div class="fb-arrow" v-if="fallbackStep >= 2">↓ 提供替代方案</div>
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<div :class="['fb-step safe', { active: fallbackStep >= 2 }]">
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<span class="fb-icon">🔄</span>
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<span>转接人工 / 推荐文档 / 换个方式提问</span>
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</div>
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</div>
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<div class="demo-note">AI 不确定时，优雅降级而非强行回答</div>
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</div>
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<div class="pattern-detail">
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<div class="detail-label">设计要点</div>
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<div class="detail-text">{{ currentPattern.detail }}</div>
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</div>
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</div>
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</div>
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</template>
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<script setup>
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import { ref, computed } from 'vue'
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const patterns = [
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{
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id: 'streaming', icon: '💬', name: '流式输出',
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brief: '逐字生成，即时反馈',
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detail: '流式输出让用户在 AI 思考时就能看到部分结果，大幅降低感知等待时间。技术上通过 SSE（Server-Sent Events）或 WebSocket 实现，前端逐步渲染 Markdown 内容。'
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},
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{
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id: 'loading', icon: '⏳', name: '智能加载态',
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brief: '分阶段展示处理进度',
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detail: 'AI 请求通常需要数秒，传统的转圈加载会让用户焦虑。智能加载态将处理过程拆解为可见的步骤（理解问题 → 检索知识 → 生成回答），让等待变得可预期。'
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},
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{
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id: 'confidence', icon: '📊', name: '置信度指示',
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brief: '展示 AI 的确定程度',
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detail: 'AI 的输出具有概率性，不同回答的可靠程度不同。通过置信度指示器，用户可以判断哪些信息可以直接采纳，哪些需要二次验证。这是 AI 原生应用透明性的核心体现。'
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},
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{
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id: 'fallback', icon: '🛡️', name: '优雅降级',
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brief: '不确定时的兜底策略',
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detail: '当 AI 无法给出可靠回答时，不应该硬编一个答案。优雅降级策略包括：坦诚告知不确定性、提供替代信息源、转接人工服务、引导用户换个方式提问。'
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}
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]
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const activePattern = ref('')
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const currentPattern = computed(() => patterns.find(p => p.id === activePattern.value) || {})
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// Streaming demo
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const streamText = ref('')
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const isStreaming = ref(false)
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const fullText = 'React 是一个用于构建用户界面的 JavaScript 库。它采用组件化的开发模式，让你可以将复杂的 UI 拆分成独立的、可复用的小模块。'
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// Loading demo
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const loadingStages = ['理解用户意图...', '检索相关知识...', '组织回答内容...', '生成最终响应']
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const loadingStep = ref(-1)
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// Confidence demo
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const confidenceItems = [
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{ text: 'React 由 Meta 开发', score: 98, level: '高置信', color: '#10b981' },
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{ text: '全球约 40% 的网站使用 React', score: 72, level: '中置信', color: '#f59e0b' },
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{ text: 'React 19 将在下月发布', score: 35, level: '低置信', color: '#ef4444' }
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]
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// Fallback demo
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const fallbackStep = ref(-1)
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let timer = null
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const clearTimers = () => {
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if (timer) { clearInterval(timer); timer = null }
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}
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const activatePattern = (id) => {
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clearTimers()
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activePattern.value = id
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replayDemo()
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}
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const replayDemo = () => {
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clearTimers()
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if (activePattern.value === 'streaming') {
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streamText.value = ''
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isStreaming.value = true
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let i = 0
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timer = setInterval(() => {
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if (i < fullText.length) {
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streamText.value += fullText[i]
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i++
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} else {
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isStreaming.value = false
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clearTimers()
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}
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}, 50)
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} else if (activePattern.value === 'loading') {
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loadingStep.value = 0
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let step = 0
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timer = setInterval(() => {
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step++
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loadingStep.value = step
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if (step >= loadingStages.length) clearTimers()
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}, 900)
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} else if (activePattern.value === 'fallback') {
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fallbackStep.value = 0
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let step = 0
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timer = setInterval(() => {
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step++
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fallbackStep.value = step
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if (step >= 2) clearTimers()
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}, 1000)
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}
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}
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</script>
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<style scoped>
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.ux-demo {
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background: var(--vp-c-bg-soft);
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border: 1px solid var(--vp-c-divider);
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border-radius: 12px; padding: 20px; margin: 20px 0;
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}
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.header { text-align: center; margin-bottom: 16px; }
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.title {
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font-size: 17px; font-weight: 700;
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background: linear-gradient(120deg, #06b6d4, #8b5cf6);
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-webkit-background-clip: text; -webkit-text-fill-color: transparent;
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}
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.subtitle { font-size: 12px; color: var(--vp-c-text-2); margin-top: 4px; }
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.pattern-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(140px, 1fr));
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gap: 10px; margin-bottom: 16px;
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}
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.pattern-card {
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background: var(--vp-c-bg); border: 1px solid var(--vp-c-divider);
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border-radius: 10px; padding: 14px; cursor: pointer;
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transition: all 0.2s; text-align: center;
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}
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.pattern-card:hover { background: var(--vp-c-bg-alt); }
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.pattern-card.active {
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border-color: var(--vp-c-brand);
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box-shadow: 0 4px 12px rgba(0,0,0,0.06);
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}
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.card-icon { font-size: 24px; margin-bottom: 6px; }
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.card-name { font-weight: 600; font-size: 13px; }
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.card-desc { font-size: 11px; color: var(--vp-c-text-2); margin-top: 4px; }
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.preview-area {
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background: var(--vp-c-bg); border: 1px solid var(--vp-c-divider);
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border-radius: 12px; padding: 16px;
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}
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.preview-header {
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display: flex; justify-content: space-between; align-items: center;
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font-weight: 700; font-size: 14px; margin-bottom: 12px;
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}
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.replay-btn {
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padding: 4px 12px; border: 1px solid var(--vp-c-divider);
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border-radius: 6px; background: var(--vp-c-bg-soft);
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cursor: pointer; font-size: 12px;
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}
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.demo-box {
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background: var(--vp-c-bg-soft); border-radius: 8px;
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padding: 16px; margin-bottom: 12px;
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}
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.demo-note {
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font-size: 11px; color: var(--vp-c-text-3);
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text-align: center; margin-top: 10px;
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}
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/* Streaming */
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.chat-bubble.ai {
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background: var(--vp-c-bg); border: 1px solid var(--vp-c-divider);
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border-radius: 10px; padding: 12px; font-size: 13px; line-height: 1.7;
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}
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.cursor-blink { animation: blink 0.8s infinite; color: var(--vp-c-brand); }
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@keyframes blink { 50% { opacity: 0; } }
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/* Loading */
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.loading-stages { display: flex; flex-direction: column; gap: 8px; }
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.stage {
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display: flex; align-items: center; gap: 8px;
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padding: 8px 12px; border-radius: 6px; font-size: 13px;
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background: var(--vp-c-bg); border: 1px solid var(--vp-c-divider);
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opacity: 0.4; transition: all 0.3s;
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}
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.stage.current { opacity: 1; border-color: var(--vp-c-brand); background: var(--vp-c-brand-soft); }
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.stage.done { opacity: 1; border-color: #86efac; background: #f0fdf4; }
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/* Confidence */
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.confidence-list { display: flex; flex-direction: column; gap: 10px; }
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.conf-item {
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display: grid; grid-template-columns: 1fr 40px 60px 1fr;
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align-items: center; gap: 8px; font-size: 12px;
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}
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.conf-bar-wrap {
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height: 8px; background: var(--vp-c-bg);
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border-radius: 4px; overflow: hidden;
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}
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.conf-bar { height: 100%; border-radius: 4px; transition: width 0.6s; }
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.conf-score { font-weight: 600; text-align: right; }
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.conf-label { font-size: 11px; color: var(--vp-c-text-2); }
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.conf-text { color: var(--vp-c-text-1); }
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/* Fallback */
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.fallback-flow { display: flex; flex-direction: column; align-items: center; gap: 6px; }
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.fb-step {
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display: flex; align-items: center; gap: 8px; width: 100%;
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padding: 10px 14px; border-radius: 8px; font-size: 13px;
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background: var(--vp-c-bg); border: 1px solid var(--vp-c-divider);
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opacity: 0.3; transition: all 0.4s;
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}
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.fb-step.active { opacity: 1; }
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.fb-step.warn.active { border-color: #fbbf24; background: #fef3c7; }
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.fb-step.safe.active { border-color: #86efac; background: #f0fdf4; }
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.fb-arrow { font-size: 12px; color: var(--vp-c-text-3); }
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.pattern-detail { margin-top: 12px; }
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.detail-label { font-weight: 600; font-size: 12px; margin-bottom: 4px; }
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.detail-text { font-size: 13px; color: var(--vp-c-text-2); line-height: 1.7; }
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</style>
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