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test-repo/docs/.vitepress/theme/components/appendix/context-engineering/ContextCompressionDemo.vue
T
sanbuphy d35211071a style: update border-radius and padding values across components
- standardize border-radius from 8px to 6px for consistent styling
- adjust padding values from 1rem to 0.75rem for better visual hierarchy
- remove redundant overflow-y properties for cleaner code
2026-02-14 20:23:34 +08:00

348 lines
8.8 KiB
Vue

<!--
* Component: ContextCompressionDemo.vue
* Description: Demonstrates various context compression techniques with a clear vertical flow.
-->
<script setup>
import { ref, computed } from 'vue'
const originalText = ref(
`上下文工程(Context Engineering)是指优化提供给大语言模型(LLM)的提示词,以确保其拥有生成准确且相关回复所需的信息。其中的一个主要挑战是 LLM 的上下文窗口有限,这限制了它们一次能处理的文本量。为了克服这个问题,开发者使用了诸如摘要生成(Summarization)等技术,将长文档浓缩为保留关键信息的短版本。另一种技术是检索增强生成(RAG),它根据用户的查询从数据库中仅获取最相关的片段。此外,通过将非结构化文本转换为 JSON 等结构化数据,也可以减少冗余字符,提高信息密度。`
)
const strategies = [
{ id: 'summary', label: '📝 摘要生成', desc: '保留大意' },
{ id: 'extract', label: '🔑 关键词', desc: '提炼要点' },
{ id: 'json', label: '⚙️ 结构化', desc: '转 JSON' }
]
const currentMode = ref('')
const compressedText = ref('')
const isCompressing = ref(false)
const originalTokens = computed(() => Math.ceil(originalText.value.length * 0.7)) // Approximation
const compressedTokens = computed(() => Math.ceil(compressedText.value.length * 0.7))
const compressionRatio = computed(() => {
if (!originalText.value.length || !compressedText.value.length) return 0
return Math.round((1 - compressedText.value.length / originalText.value.length) * 100)
})
const compress = async (mode) => {
if (isCompressing.value) return
currentMode.value = mode
isCompressing.value = true
compressedText.value = ''
// Simulate API delay
await new Promise(r => setTimeout(r, 800))
if (mode === 'summary') {
compressedText.value = '上下文工程旨在优化 LLM 提示词以解决上下文窗口限制。主要技术包括摘要生成(浓缩关键信息)、RAG(按需检索相关片段)以及结构化数据转换(提高信息密度)。'
} else if (mode === 'extract') {
compressedText.value = '- 目标: 优化 LLM 提示词\n- 挑战: 上下文窗口有限\n- 方案1: 摘要生成 (Summarization)\n- 方案2: 检索增强生成 (RAG)\n- 方案3: 结构化数据 (JSON)'
} else if (mode === 'json') {
compressedText.value = JSON.stringify({
topic: "Context Engineering",
problem: "Limited Context Window",
solutions: ["Summarization", "RAG", "Structured Data"]
}, null, 2)
}
isCompressing.value = false
}
</script>
<template>
<div class="context-compression-demo">
<!-- 1. Strategy Selection -->
<div class="section control-panel">
<div class="section-label">1. 选择压缩策略</div>
<div class="strategy-group">
<button
v-for="s in strategies"
:key="s.id"
class="strategy-btn"
:class="{ active: currentMode === s.id }"
@click="compress(s.id)"
>
<div class="btn-label">{{ s.label }}</div>
<div class="btn-desc">{{ s.desc }}</div>
</button>
</div>
</div>
<!-- 2. Input Area -->
<div class="section input-area">
<div class="section-header">
<span class="label">原始文本 (Original)</span>
<span class="token-count">{{ originalTokens }} tokens</span>
</div>
<textarea
v-model="originalText"
class="text-content original-input"
placeholder="在此输入长文本..."
></textarea>
</div>
<!-- Connector / Process -->
<div class="flow-connector">
<div class="line"></div>
<div class="process-icon" :class="{ spinning: isCompressing }">
{{ isCompressing ? '⚙️' : '⬇️' }}
</div>
<div class="badge-container" v-if="compressedText && !isCompressing">
<span class="ratio-badge">-{{ compressionRatio }}%</span>
</div>
</div>
<!-- 3. Output Area -->
<div class="section output-area" :class="{ 'has-result': compressedText }">
<div class="section-header">
<span class="label">压缩后 (Compressed)</span>
<span class="token-count" v-if="compressedText">{{ compressedTokens }} tokens</span>
</div>
<div class="text-content result-box">
<div v-if="isCompressing" class="loading-state">
<span class="spinner"></span> 正在压缩...
</div>
<pre v-else-if="compressedText">{{ compressedText }}</pre>
<div v-else class="placeholder">
请点击上方按钮开始压缩
</div>
</div>
<!-- Mini Metrics (Inside Output Area) -->
<div class="mini-metrics" v-if="compressedText && !isCompressing">
<div class="metric-item">
<span class="metric-label">节省空间</span>
<span class="metric-val highlight">{{ compressionRatio }}%</span>
</div>
<div class="metric-bar">
<div class="bar-fill" :style="{ width: (100 - compressionRatio) + '%' }"></div>
</div>
</div>
</div>
</div>
</template>
<style scoped>
.context-compression-demo {
border: 1px solid var(--vp-c-divider);
border-radius: 12px;
background-color: var(--vp-c-bg-soft);
max-width: 600px;
margin: 1.5rem auto;
padding: 1.5rem;
display: flex;
flex-direction: column;
gap: 0;
}
.section {
background: var(--vp-c-bg);
border: 1px solid var(--vp-c-divider);
border-radius: 6px;
padding: 0.75rem;
transition: all 0.3s ease;
}
.section-label {
font-size: 0.85rem;
font-weight: 600;
color: var(--vp-c-text-2);
margin-bottom: 0.8rem;
text-transform: uppercase;
}
/* Control Panel */
.strategy-group {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 0.5rem;
}
.strategy-btn {
padding: 0.6rem 0.4rem;
border: 1px solid var(--vp-c-divider);
border-radius: 6px;
background-color: var(--vp-c-bg-alt);
cursor: pointer;
transition: all 0.2s;
text-align: center;
}
.strategy-btn:hover {
border-color: var(--vp-c-brand);
background-color: var(--vp-c-bg-soft);
}
.strategy-btn.active {
border-color: var(--vp-c-brand);
background-color: var(--vp-c-brand-dimm);
color: var(--vp-c-brand-dark);
transform: translateY(-1px);
box-shadow: 0 2px 4px rgba(0,0,0,0.05);
}
.btn-label {
font-weight: 600;
font-size: 0.85rem;
margin-bottom: 0.2rem;
color: var(--vp-c-text-1);
}
.btn-desc {
font-size: 0.7rem;
color: var(--vp-c-text-2);
}
/* Text Areas */
.section-header {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 0.6rem;
font-size: 0.85rem;
}
.label {
font-weight: 600;
color: var(--vp-c-text-1);
}
.token-count {
font-family: var(--vp-font-mono);
color: var(--vp-c-text-2);
font-size: 0.75rem;
background: var(--vp-c-bg-mute);
padding: 2px 6px;
border-radius: 4px;
}
.text-content {
width: 100%;
border: 1px solid var(--vp-c-divider);
border-radius: 6px;
background-color: var(--vp-c-bg-alt);
font-size: 0.85rem;
line-height: 1.5;
color: var(--vp-c-text-1);
font-family: var(--vp-font-mono);
}
.original-input {
min-height: 100px;
padding: 0.75rem;
resize: vertical;
}
.original-input:focus {
border-color: var(--vp-c-brand);
outline: none;
}
.result-box {
min-height: 100px;
padding: 0.75rem;
overflow-x: auto;
background-color: #f6f8fa; /* Light code bg style */
}
.dark .result-box {
background-color: #161b22;
}
.placeholder {
color: var(--vp-c-text-3);
display: flex;
align-items: center;
justify-content: center;
height: 100%;
min-height: 80px;
font-size: 0.85rem;
}
/* Connector */
.flow-connector {
position: relative;
height: 40px;
display: flex;
align-items: center;
justify-content: center;
}
.line {
position: absolute;
height: 100%;
width: 2px;
background: var(--vp-c-divider);
}
.process-icon {
z-index: 1;
background: var(--vp-c-bg-soft);
padding: 4px;
font-size: 1.2rem;
color: var(--vp-c-text-2);
}
.spinning {
animation: spin 1s linear infinite;
}
.badge-container {
position: absolute;
right: 20px;
top: 50%;
transform: translateY(-50%);
}
.ratio-badge {
background: var(--vp-c-green-dimm);
color: var(--vp-c-green-dark);
font-size: 0.75rem;
font-weight: bold;
padding: 2px 8px;
border-radius: 10px;
}
/* Metrics */
.mini-metrics {
margin-top: 1rem;
border-top: 1px solid var(--vp-c-divider);
padding-top: 0.8rem;
}
.metric-item {
display: flex;
justify-content: space-between;
margin-bottom: 0.4rem;
font-size: 0.8rem;
}
.highlight {
color: var(--vp-c-green);
font-weight: bold;
}
.metric-bar {
height: 6px;
background: var(--vp-c-bg-mute);
border-radius: 3px;
overflow: hidden;
}
.bar-fill {
height: 100%;
background: var(--vp-c-brand);
transition: width 0.5s ease;
}
@keyframes spin {
0% { transform: rotate(0deg); }
100% { transform: rotate(360deg); }
}
</style>