sanbuphy
ad95658a11
- Add NavGrid.vue and NavCard.vue components for better navigation layout - Restructure stage-0 index pages across languages into intro.md with new navigation components - Remove old stage-0 index.md files and update stage-3 pages similarly - Add new dependencies 'claude' and 'codex' to package.json - Improve code formatting in multiple Vue components for better readability - Update documentation content and structure for better user experience
545 lines
15 KiB
Vue
545 lines
15 KiB
Vue
<template>
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<div class="developer-efficiency-demo">
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<div class="demo-header">
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<h4>开发效率对比</h4>
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<p class="subtitle">不同语言完成相同任务所需的代码量和时间</p>
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</div>
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<div class="task-selector">
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<label>选择任务：</label>
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<select v-model="selectedTask" @change="updateMetrics">
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<option v-for="task in tasks" :key="task.id" :value="task.id">
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{{ task.name }}
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</option>
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</select>
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</div>
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<div class="metrics-grid">
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<div class="metric-card">
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<div class="metric-header">
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<span class="metric-icon">📝</span>
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<h5>代码行数</h5>
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</div>
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<div class="metric-chart">
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<div
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v-for="lang in sortedLanguages"
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:key="lang.name"
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class="metric-bar"
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>
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<div class="bar-label">{{ lang.name }}</div>
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<div class="bar-container">
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<div
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class="bar-fill"
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:style="{ width: getBarWidth(lang.lines) + '%' }"
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>
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<span class="bar-value">{{ lang.lines }}</span>
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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="metric-insight">
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<p>
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<strong>💡 分析：</strong>
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{{ getTaskDetail(selectedTask).linesInsight }}
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</p>
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</div>
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</div>
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<div class="metric-card">
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<div class="metric-header">
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<span class="metric-icon">⏱️</span>
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<h5>开发时间（小时）</h5>
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</div>
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<div class="metric-chart">
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<div
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v-for="lang in sortedLanguages"
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:key="lang.name"
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class="metric-bar"
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>
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<div class="bar-label">{{ lang.name }}</div>
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<div class="bar-container">
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<div
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class="bar-fill time"
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:style="{ width: getBarWidth(lang.time) + '%' }"
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>
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<span class="bar-value">{{ lang.time }}h</span>
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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="metric-insight">
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<p>
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<strong>💡 分析：</strong>
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{{ getTaskDetail(selectedTask).timeInsight }}
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</p>
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</div>
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</div>
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<div class="metric-card">
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<div class="metric-header">
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<span class="metric-icon">🐛</span>
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<h5>调试时间（小时）</h5>
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</div>
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<div class="metric-chart">
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<div
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v-for="lang in sortedLanguages"
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:key="lang.name"
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class="metric-bar"
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>
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<div class="bar-label">{{ lang.name }}</div>
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<div class="bar-container">
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<div
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class="bar-fill debug"
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:style="{ width: getBarWidth(lang.debug) + '%' }"
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>
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<span class="bar-value">{{ lang.debug }}h</span>
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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="metric-insight">
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<p>
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<strong>💡 分析：</strong>
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{{ getTaskDetail(selectedTask).debugInsight }}
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</p>
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</div>
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</div>
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</div>
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<div class="efficiency-radar">
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<h5>综合效率雷达图</h5>
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<div class="radar-chart">
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<div class="radar-grid">
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<div
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v-for="lang in languages"
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:key="lang.name"
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class="radar-point"
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:style="getRadarPosition(lang)"
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>
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<div class="point-label">{{ lang.name }}</div>
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<div class="point-dot"></div>
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</div>
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</div>
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</div>
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<div class="radar-legend">
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<div class="legend-item">
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<span class="legend-dot"></span>
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<span>左上：代码少，开发快</span>
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</div>
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<div class="legend-item">
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<span class="legend-dot"></span>
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<span>右上：调试快，类型安全</span>
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</div>
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<div class="legend-item">
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<span class="legend-dot"></span>
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<span>左下：生态好，库丰富</span>
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</div>
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<div class="legend-item">
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<span class="legend-dot"></span>
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<span>右下：学习简单，上手快</span>
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</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 selectedTask = ref('rest')
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const tasks = [
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{ id: 'rest', name: 'REST API 服务' },
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{ id: 'web', name: 'Web 应用' },
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{ id: 'script', name: '数据处理脚本' },
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{ id: 'micro', name: '微服务' }
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]
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const languages = [
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'Python',
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'Ruby',
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'Go',
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'Node.js',
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'Java',
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'C#',
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'Rust',
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'C++'
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]
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const taskMetrics = {
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rest: {
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Python: { lines: 50, time: 4, debug: 2 },
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Ruby: { lines: 45, time: 3.5, debug: 2.5 },
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Go: { lines: 80, time: 5, debug: 1.5 },
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'Node.js': { lines: 60, time: 4.5, debug: 2 },
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Java: { lines: 150, time: 8, debug: 2 },
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'C#': { lines: 120, time: 7, debug: 2 },
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Rust: { lines: 100, time: 10, debug: 3 },
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'C++': { lines: 180, time: 12, debug: 5 },
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linesInsight:
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'Python 和 Ruby 用最少的代码实现 REST API，得益于简洁的语法和强大的框架（Flask、Sinatra）。Go 虽然语法简洁，但需要显式类型声明。Java 和 C# 的样板代码最多。',
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timeInsight:
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'Ruby 和 Python 开发最快，适合快速迭代。Go 和 Node.js 居中，平衡了开发速度和性能。Java 和 C# 开发时间较长，但后期维护成本低。Rust 和 C++ 开发时间最长，主要受学习曲线和编译时间影响。',
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debugInsight:
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'Go、Java、C# 的静态类型让调试更容易，大部分错误在编译时就能发现。Python 和 Ruby 虽然开发快，但运行时错误多，调试时间长。Rust 的借用检查器虽然学习曲线陡峭，但能提前发现大量 bug。'
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},
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web: {
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Python: { lines: 200, time: 10, debug: 5 },
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Ruby: { lines: 180, time: 9, debug: 5 },
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Go: { lines: 300, time: 12, debug: 4 },
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'Node.js': { lines: 250, time: 11, debug: 5 },
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Java: { lines: 500, time: 20, debug: 6 },
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'C#': { lines: 400, time: 18, debug: 6 },
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Rust: { lines: 350, time: 25, debug: 8 },
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'C++': { lines: 600, time: 30, debug: 12 },
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linesInsight:
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'Rails 和 Django 的"约定优于配置"让 Web 开发极其高效，代码量最少。全栈的 Node.js 也表现不错。Go 需要 more boilerplate。Java 的 Spring Boot 虽然强大，但配置和样板代码较多。',
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timeInsight:
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'Ruby (Rails) 和 Python (Django) 是 Web 开发的效率之王，内置 ORM、模板引擎、认证等功能，开箱即用。Node.js 的全栈特性让前后端统一，减少沟通成本。Go 和 Java 需要更多配置和 boilerplate。',
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debugInsight:
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'静态类型语言（Go、Java、C#）在大型 Web 项目中优势明显，IDE 支持更好，重构更安全。Python 和 Ruby 在小项目中调试很快，但随着项目增长，动态类型带来的维护成本会急剧上升。'
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},
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script: {
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Python: { lines: 20, time: 1, debug: 0.5 },
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Ruby: { lines: 18, time: 1, debug: 0.5 },
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Go: { lines: 40, time: 2, debug: 0.5 },
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'Node.js': { lines: 25, time: 1.5, debug: 0.5 },
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Java: { lines: 80, time: 4, debug: 1 },
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'C#': { lines: 70, time: 3.5, debug: 1 },
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Rust: { lines: 50, time: 4, debug: 1 },
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'C++': { lines: 100, time: 5, debug: 2 },
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linesInsight:
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'Python 是脚本自动化的绝对王者，标准库丰富，第三方库如 Pandas、Requests 让数据处理极其简单。Ruby 也很优秀。其他语言对于简单脚本来说都太重量级了。',
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timeInsight:
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'Python 和 Ruby 是脚本任务的首选，几行代码就能完成复杂的数据处理。Node.js 在处理 JSON 数据时也很方便。编译型语言（Go、Java、C++）对于简单脚本来说 overhead 太大。',
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debugInsight:
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'Python 的交互式解释器（REPL）和丰富的调试工具（pdb、ipdb）让脚本调试极其高效。Ruby 的 Pry 也很强大。其他语言的编译/运行循环对于脚本开发来说太慢了。'
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},
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micro: {
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Python: { lines: 100, time: 6, debug: 3 },
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Ruby: { lines: 90, time: 5.5, debug: 3.5 },
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Go: { lines: 120, time: 7, debug: 2 },
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'Node.js': { lines: 110, time: 6.5, debug: 3 },
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Java: { lines: 250, time: 15, debug: 4 },
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'C#': { lines: 200, time: 13, debug: 4 },
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Rust: { lines: 140, time: 18, debug: 5 },
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'C++': { lines: 300, time: 22, debug: 8 },
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linesInsight:
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'Go 是微服务的理想选择，单一二进制文件 + 内置 HTTP 服务器 + 强大的标准库。Node.js 的 Express/Koa 也很轻量。Python 的 FastAPI 表现不错，但性能和并发不如 Go。',
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timeInsight:
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'Go 和 Node.js 在微服务开发中效率最高，启动快，部署简单。Python 和 Ruby 适合快速原型，但生产环境需要更多优化。Java 和 C# 的 Spring Cloud/.NET 虽然强大，但对于简单微服务来说太重量级。',
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debugInsight:
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'Go 和 Rust 的类型系统和错误处理让微服务的调试和测试更容易。Java 和 C# 的成熟工具链（JUnit、NUnit）也很有优势。Python 和 Ruby 的动态类型在分布式系统中可能带来运行时错误。'
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}
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}
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const currentMetrics = computed(() => {
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return taskMetrics[selectedTask.value]
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})
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const sortedLanguages = computed(() => {
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return languages
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.map((lang) => ({
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name: lang,
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...currentMetrics.value[lang]
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}))
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.sort((a, b) => a.lines - b.lines)
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})
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const getBarWidth = (value) => {
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const max = Math.max(
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...Object.values(currentMetrics.value).flatMap((v) => [
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v.lines,
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v.time * 20,
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v.debug * 20
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])
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)
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return (value / max) * 100
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}
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const getTaskDetail = (taskId) => {
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return taskMetrics[taskId]
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}
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const getRadarPosition = (langName) => {
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const metrics = currentMetrics.value[langName]
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const avgLines =
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Object.values(currentMetrics.value).reduce((sum, v) => sum + v.lines, 0) /
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languages.length
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const avgTime =
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Object.values(currentMetrics.value).reduce((sum, v) => sum + v.time, 0) /
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languages.length
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const avgDebug =
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Object.values(currentMetrics.value).reduce((sum, v) => sum + v.debug, 0) /
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languages.length
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// Normalize metrics (lower is better, so we invert)
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const linesScore = 1 - metrics.lines / 300 // Max lines ~300
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const timeScore = 1 - metrics.time / 30 // Max time ~30
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const debugScore = 1 - metrics.debug / 12 // Max debug ~12
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// Position in 2D space
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// X: code efficiency (linesScore) vs ecosystem (hardcoded)
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// Y: speed (timeScore) vs maintainability (debugScore)
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const x = 50 + (linesScore - 0.5) * 80
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const y = 50 + (timeScore - 0.5) * 80
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return {
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left: `${x}%`,
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top: `${y}%`
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}
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}
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const updateMetrics = () => {
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// Trigger reactivity
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}
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</script>
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<style scoped>
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.developer-efficiency-demo {
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background: var(--vp-c-bg);
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border-radius: 12px;
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padding: 2rem;
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margin: 2rem 0;
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box-shadow: 0 4px 20px rgba(0, 0, 0, 0.05);
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border: 1px solid var(--vp-c-divider);
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}
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.demo-header {
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text-align: center;
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margin-bottom: 2rem;
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}
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.demo-header h4 {
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margin: 0 0 0.5rem 0;
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color: var(--vp-c-brand);
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font-size: 1.5rem;
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}
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.subtitle {
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margin: 0;
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color: var(--vp-c-text-2);
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font-size: 0.95rem;
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}
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.task-selector {
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display: flex;
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align-items: center;
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justify-content: center;
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gap: 1rem;
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margin-bottom: 2rem;
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flex-wrap: wrap;
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}
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.task-selector label {
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font-weight: 600;
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color: var(--vp-c-text-1);
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}
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.task-selector select {
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padding: 0.5rem 1rem;
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border: 1px solid var(--vp-c-divider);
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border-radius: 6px;
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background: var(--vp-c-bg);
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color: var(--vp-c-text-1);
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font-size: 0.9rem;
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cursor: pointer;
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}
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.metrics-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
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gap: 2rem;
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margin-bottom: 3rem;
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}
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.metric-card {
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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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border: 1px solid var(--vp-c-divider);
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}
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.metric-header {
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display: flex;
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align-items: center;
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gap: 0.75rem;
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margin-bottom: 1.5rem;
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}
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.metric-icon {
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font-size: 2rem;
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}
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.metric-header h5 {
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margin: 0;
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color: var(--vp-c-text-1);
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font-size: 1.1rem;
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}
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.metric-chart {
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display: flex;
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flex-direction: column;
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gap: 0.75rem;
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margin-bottom: 1.5rem;
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}
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.metric-bar {
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display: flex;
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align-items: center;
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gap: 1rem;
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}
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.bar-label {
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min-width: 70px;
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font-weight: 600;
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font-size: 0.85rem;
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color: var(--vp-c-text-1);
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}
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.bar-container {
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flex: 1;
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height: 24px;
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background: var(--vp-c-bg);
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border-radius: 4px;
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overflow: hidden;
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}
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.bar-fill {
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height: 100%;
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display: flex;
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align-items: center;
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justify-content: flex-end;
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padding-right: 0.5rem;
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background: linear-gradient(90deg, var(--vp-c-brand), #8b5cf6);
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transition: width 0.5s ease;
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color: white;
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font-weight: 600;
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font-size: 0.75rem;
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}
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.bar-fill.time {
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background: linear-gradient(90deg, #10b981, #059669);
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}
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.bar-fill.debug {
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background: linear-gradient(90deg, #f59e0b, #d97706);
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}
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.metric-insight {
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background: var(--vp-c-bg);
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border-radius: 8px;
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padding: 1rem;
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border-left: 3px solid var(--vp-c-brand);
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}
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.metric-insight p {
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margin: 0;
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font-size: 0.85rem;
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line-height: 1.6;
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color: var(--vp-c-text-2);
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}
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.efficiency-radar {
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background: var(--vp-c-bg-soft);
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border-radius: 12px;
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padding: 2rem;
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border: 1px solid var(--vp-c-divider);
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}
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.efficiency-radar h5 {
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margin: 0 0 2rem 0;
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text-align: center;
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color: var(--vp-c-text-1);
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font-size: 1.2rem;
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}
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.radar-chart {
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position: relative;
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width: 100%;
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height: 400px;
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background: var(--vp-c-bg);
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border-radius: 8px;
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margin-bottom: 1.5rem;
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}
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.radar-grid {
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position: relative;
|
||
width: 100%;
|
||
height: 100%;
|
||
}
|
||
|
||
.radar-point {
|
||
position: absolute;
|
||
transform: translate(-50%, -50%);
|
||
cursor: pointer;
|
||
transition: all 0.3s ease;
|
||
}
|
||
|
||
.radar-point:hover {
|
||
transform: translate(-50%, -50%) scale(1.2);
|
||
}
|
||
|
||
.point-label {
|
||
position: absolute;
|
||
top: -25px;
|
||
left: 50%;
|
||
transform: translateX(-50%);
|
||
white-space: nowrap;
|
||
font-weight: 600;
|
||
font-size: 0.85rem;
|
||
color: var(--vp-c-text-1);
|
||
background: var(--vp-c-bg-soft);
|
||
padding: 0.25rem 0.5rem;
|
||
border-radius: 4px;
|
||
}
|
||
|
||
.point-dot {
|
||
width: 12px;
|
||
height: 12px;
|
||
background: var(--vp-c-brand);
|
||
border-radius: 50%;
|
||
box-shadow: 0 2px 8px rgba(59, 130, 246, 0.5);
|
||
}
|
||
|
||
.radar-legend {
|
||
display: grid;
|
||
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
|
||
gap: 1rem;
|
||
}
|
||
|
||
.legend-item {
|
||
display: flex;
|
||
align-items: center;
|
||
gap: 0.5rem;
|
||
font-size: 0.85rem;
|
||
color: var(--vp-c-text-2);
|
||
}
|
||
|
||
.legend-dot {
|
||
width: 10px;
|
||
height: 10px;
|
||
background: var(--vp-c-brand);
|
||
border-radius: 50%;
|
||
}
|
||
|
||
@media (max-width: 768px) {
|
||
.metrics-grid {
|
||
grid-template-columns: 1fr;
|
||
}
|
||
|
||
.bar-label {
|
||
min-width: 55px;
|
||
font-size: 0.75rem;
|
||
}
|
||
|
||
.efficiency-radar {
|
||
padding: 1rem;
|
||
}
|
||
|
||
.radar-chart {
|
||
height: 300px;
|
||
}
|
||
}
|
||
</style>
|