505 lines
11 KiB
Vue
505 lines
11 KiB
Vue
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<!--
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PeakShavingDemo.vue
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削峰填谷演示 - 流量缓冲可视化
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-->
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<template>
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<div class="peak-shaving-demo">
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<div class="header">
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<div class="title">削峰填谷:把高峰"摊平"</div>
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<div class="subtitle">调整请求速率,观察队列如何缓冲流量</div>
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</div>
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<div class="controls">
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<div class="control">
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<label>
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请求速率:<strong>{{ requestRate }}</strong> 请求/秒
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</label>
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<input
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v-model="requestRate"
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type="range"
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min="100"
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max="10000"
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step="100"
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/>
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</div>
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<div class="control">
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<label>
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处理速率:<strong>{{ processRate }}</strong> 请求/秒
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</label>
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<input
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v-model="processRate"
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type="range"
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min="50"
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max="500"
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step="10"
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/>
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</div>
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<div class="control">
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<label>
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队列容量:<strong>{{ queueCapacity }}</strong>
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</label>
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<input
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v-model="queueCapacity"
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type="range"
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min="100"
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max="5000"
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step="100"
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/>
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</div>
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</div>
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<div class="simulation">
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<button class="sim-btn" @click="toggleSimulation">
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{{ running ? '⏸️ 暂停' : '▶️ 开始模拟' }}
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</button>
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<button class="sim-btn reset" @click="reset">🔄 重置</button>
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</div>
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<div class="flow-visualization">
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<div class="column incoming">
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<div class="col-header">📥 入站流量</div>
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<div class="rate-display">{{ requestRate }}/s</div>
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<div class="bar-container">
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<div class="bar-fill" :style="{ height: requestHeight + '%' }"></div>
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</div>
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<div class="particles incoming-particles">
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<div
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v-for="p in incomingParticles"
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:key="p.id"
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class="particle"
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:style="{ animationDelay: p.delay + 'ms' }"
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></div>
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</div>
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</div>
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<div class="column queue">
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<div class="col-header">📦 消息队列</div>
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<div class="queue-info">
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<div class="queue-count">{{ queueLength }} / {{ queueCapacity }}</div>
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<div class="queue-percent">{{ queuePercent }}%</div>
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</div>
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<div class="queue-bar-container">
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<div
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class="queue-bar"
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:class="queueStatus"
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:style="{ width: queuePercent + '%' }"
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></div>
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</div>
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<div class="queue-status-text">{{ queueStatusText }}</div>
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</div>
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<div class="column outgoing">
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<div class="col-header">📤 处理流量</div>
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<div class="rate-display">{{ processRate }}/s</div>
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<div class="bar-container">
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<div
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class="bar-fill stable"
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:style="{ height: processHeight + '%' }"
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></div>
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</div>
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<div class="particles outgoing-particles">
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<div
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v-for="p in outgoingParticles"
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:key="p.id"
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class="particle processed"
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:style="{ animationDelay: p.delay + 'ms' }"
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></div>
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</div>
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</div>
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</div>
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<div class="metrics">
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<div class="metric-card">
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<div class="metric-label">队列积压</div>
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<div class="metric-value">{{ queueLength }}</div>
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</div>
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<div class="metric-card">
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<div class="metric-label">平均等待时间</div>
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<div class="metric-value">{{ avgWaitTime }}s</div>
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</div>
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<div class="metric-card">
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<div class="metric-label">已处理请求</div>
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<div class="metric-value">{{ processedCount }}</div>
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</div>
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<div class="metric-card">
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<div class="metric-label">拒绝请求</div>
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<div class="metric-value error">{{ rejectedCount }}</div>
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</div>
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</div>
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<div class="scenario-tips">
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<div class="tip">
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<strong>💡 典型场景:</strong>秒杀活动 1 秒内 10 万请求,数据库只能处理
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1000/秒
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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, onMounted, onUnmounted } from 'vue'
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const requestRate = ref(5000)
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const processRate = ref(200)
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const queueCapacity = ref(2000)
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const queueLength = ref(0)
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const processedCount = ref(0)
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const rejectedCount = ref(0)
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const running = ref(false)
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let interval = null
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let particleId = 0
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const incomingParticles = ref([])
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const outgoingParticles = ref([])
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const requestHeight = computed(() =>
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Math.min(100, (requestRate.value / 10000) * 100)
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)
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const processHeight = computed(() =>
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Math.min(100, (processRate.value / 500) * 100)
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)
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const queuePercent = computed(() =>
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Math.round((queueLength.value / queueCapacity.value) * 100)
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)
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const queueStatus = computed(() => {
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if (queuePercent.value >= 90) return 'critical'
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if (queuePercent.value >= 70) return 'warning'
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return 'normal'
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})
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const queueStatusText = computed(() => {
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if (queuePercent.value >= 90) return '⚠️ 队列接近满载'
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if (queuePercent.value >= 70) return '⚡ 队列积压较多'
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return '✅ 队列状态良好'
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})
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const avgWaitTime = computed(() => {
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if (processRate.value === 0) return '∞'
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return (queueLength.value / processRate.value).toFixed(1)
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})
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const toggleSimulation = () => {
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running.value = !running.value
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if (running.value) {
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startSimulation()
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} else {
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stopSimulation()
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}
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}
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const startSimulation = () => {
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interval = setInterval(() => {
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// 模拟请求到达
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const requests = Math.floor(requestRate.value / 10)
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// 尝试加入队列
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const available = queueCapacity.value - queueLength.value
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const accepted = Math.min(requests, available)
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const rejected = requests - accepted
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queueLength.value += accepted
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rejectedCount.value += rejected
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// 生成入站粒子
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for (let i = 0; i < Math.min(5, accepted); i++) {
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particleId++
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incomingParticles.value.push({ id: particleId, delay: i * 50 })
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setTimeout(
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() => {
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incomingParticles.value = incomingParticles.value.filter(
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(p) => p.id !== particleId
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)
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},
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500 + i * 50
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)
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}
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// 模拟处理请求
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const processed = Math.min(
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Math.floor(processRate.value / 10),
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queueLength.value
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)
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queueLength.value -= processed
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processedCount.value += processed
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// 生成出站粒子
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for (let i = 0; i < Math.min(5, processed); i++) {
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particleId++
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outgoingParticles.value.push({ id: particleId, delay: i * 50 })
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setTimeout(
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() => {
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outgoingParticles.value = outgoingParticles.value.filter(
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(p) => p.id !== particleId
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)
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},
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500 + i * 50
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)
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}
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}, 100)
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}
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const stopSimulation = () => {
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if (interval) {
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clearInterval(interval)
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interval = null
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}
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}
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const reset = () => {
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stopSimulation()
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running.value = false
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queueLength.value = 0
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processedCount.value = 0
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rejectedCount.value = 0
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incomingParticles.value = []
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outgoingParticles.value = []
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}
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onUnmounted(() => {
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stopSimulation()
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})
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</script>
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<style scoped>
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.peak-shaving-demo {
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border: 1px solid var(--vp-c-divider);
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background: var(--vp-c-bg-soft);
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border-radius: 12px;
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padding: 1.5rem;
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margin: 1.5rem 0;
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font-family: var(--vp-font-family-base);
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}
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.header {
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margin-bottom: 1rem;
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}
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.title {
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font-weight: 700;
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font-size: 1.05rem;
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}
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.subtitle {
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color: var(--vp-c-text-2);
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font-size: 0.9rem;
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margin-top: 0.25rem;
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}
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.controls {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 1rem;
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margin-bottom: 1rem;
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}
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.control label {
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display: block;
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margin-bottom: 0.4rem;
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font-size: 0.9rem;
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}
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.control input[type='range'] {
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width: 100%;
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}
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.simulation {
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display: flex;
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gap: 0.75rem;
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justify-content: center;
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margin: 1rem 0;
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}
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.sim-btn {
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background: var(--vp-c-brand);
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color: #fff;
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border: none;
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border-radius: 8px;
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padding: 0.6rem 1.5rem;
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cursor: pointer;
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font-weight: 600;
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transition: all 0.2s;
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}
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.sim-btn:hover {
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transform: translateY(-1px);
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box-shadow: 0 4px 12px rgba(59, 130, 246, 0.3);
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}
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.sim-btn.reset {
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background: var(--vp-c-text-2);
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}
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.flow-visualization {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));
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gap: 1.5rem;
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margin: 1.5rem 0;
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padding: 1rem;
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background: var(--vp-c-bg);
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border-radius: 10px;
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}
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.column {
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display: flex;
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flex-direction: column;
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align-items: center;
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gap: 0.75rem;
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}
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.col-header {
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font-weight: 600;
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font-size: 0.9rem;
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}
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.rate-display {
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font-size: 1.1rem;
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font-weight: 700;
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color: var(--vp-c-brand);
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}
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.bar-container {
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width: 60px;
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height: 120px;
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background: var(--vp-c-bg-soft);
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border-radius: 8px;
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position: relative;
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overflow: hidden;
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border: 1px solid var(--vp-c-divider);
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}
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.bar-fill {
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position: absolute;
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bottom: 0;
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left: 0;
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right: 0;
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background: linear-gradient(180deg, #3b82f6, #1d4ed8);
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border-radius: 0 0 8px 8px;
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transition: height 0.3s ease;
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}
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.bar-fill.stable {
|
|||
|
|
background: linear-gradient(180deg, #22c55e, #16a34a);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.queue-info {
|
|||
|
|
text-align: center;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.queue-count {
|
|||
|
|
font-size: 1.2rem;
|
|||
|
|
font-weight: 700;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.queue-percent {
|
|||
|
|
font-size: 0.85rem;
|
|||
|
|
color: var(--vp-c-text-2);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.queue-bar-container {
|
|||
|
|
width: 100%;
|
|||
|
|
height: 24px;
|
|||
|
|
background: var(--vp-c-bg-soft);
|
|||
|
|
border-radius: 12px;
|
|||
|
|
overflow: hidden;
|
|||
|
|
border: 1px solid var(--vp-c-divider);
|
|||
|
|
position: relative;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.queue-bar {
|
|||
|
|
height: 100%;
|
|||
|
|
transition:
|
|||
|
|
width 0.3s ease,
|
|||
|
|
background 0.3s ease;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.queue-bar.normal {
|
|||
|
|
background: linear-gradient(90deg, #22c55e, #16a34a);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.queue-bar.warning {
|
|||
|
|
background: linear-gradient(90deg, #f59e0b, #d97706);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.queue-bar.critical {
|
|||
|
|
background: linear-gradient(90deg, #ef4444, #dc2626);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.queue-status-text {
|
|||
|
|
font-size: 0.85rem;
|
|||
|
|
text-align: center;
|
|||
|
|
margin-top: 0.25rem;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.particles {
|
|||
|
|
position: relative;
|
|||
|
|
height: 60px;
|
|||
|
|
width: 100%;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.particle {
|
|||
|
|
position: absolute;
|
|||
|
|
width: 8px;
|
|||
|
|
height: 8px;
|
|||
|
|
background: var(--vp-c-brand);
|
|||
|
|
border-radius: 50%;
|
|||
|
|
animation: fall 0.5s linear infinite;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.particle.processed {
|
|||
|
|
background: #22c55e;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@keyframes fall {
|
|||
|
|
0% {
|
|||
|
|
transform: translateY(0);
|
|||
|
|
opacity: 1;
|
|||
|
|
}
|
|||
|
|
100% {
|
|||
|
|
transform: translateY(60px);
|
|||
|
|
opacity: 0;
|
|||
|
|
}
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.metrics {
|
|||
|
|
display: grid;
|
|||
|
|
grid-template-columns: repeat(auto-fit, minmax(120px, 1fr));
|
|||
|
|
gap: 1rem;
|
|||
|
|
margin-top: 1rem;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.metric-card {
|
|||
|
|
background: var(--vp-c-bg);
|
|||
|
|
border-radius: 10px;
|
|||
|
|
padding: 1rem;
|
|||
|
|
text-align: center;
|
|||
|
|
border: 1px solid var(--vp-c-divider);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.metric-label {
|
|||
|
|
font-size: 0.85rem;
|
|||
|
|
color: var(--vp-c-text-2);
|
|||
|
|
margin-bottom: 0.5rem;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.metric-value {
|
|||
|
|
font-size: 1.3rem;
|
|||
|
|
font-weight: 700;
|
|||
|
|
color: var(--vp-c-text-1);
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.metric-value.error {
|
|||
|
|
color: #ef4444;
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
.scenario-tips {
|
|||
|
|
margin-top: 1rem;
|
|||
|
|
padding: 0.75rem 1rem;
|
|||
|
|
background: rgba(59, 130, 246, 0.1);
|
|||
|
|
border-radius: 8px;
|
|||
|
|
font-size: 0.9rem;
|
|||
|
|
line-height: 1.5;
|
|||
|
|
}
|
|||
|
|
</style>
|