pref: 代码打包优化

2025-10-13 19:53:13 +08:00
parent dcef2fab1a
commit cd50d718fe
20 changed files with 14957 additions and 173 deletions
--- a/optimize-images.js
+++ b/optimize-images.js
@@ -0,0 +1,129 @@
+// 图片优化脚本 - 使用sharp压缩PNG图片
+const sharp = require('sharp');
+const fs = require('fs');
+const path = require('path');
+
+// 需要优化的大图片列表 (> 500KB)
+const LARGE_IMAGES = [
+  'CoverImage.png',
+  'BasicImage.png',
+  'teams-image.png',
+  'hand-background.png',
+  'basic-auth.png',
+  'BgMusicCard.png',
+  'Landing2.png',
+  'Landing3.png',
+  'Landing1.png',
+  'smart-home.png',
+  'automotive-background-card.png'
+];
+
+const IMG_DIR = path.join(__dirname, 'src/assets/img');
+const BACKUP_DIR = path.join(IMG_DIR, 'original-backup');
+
+// 确保备份目录存在
+if (!fs.existsSync(BACKUP_DIR)) {
+  fs.mkdirSync(BACKUP_DIR, { recursive: true });
+}
+
+console.log('🎨 开始优化图片...');
+console.log('================================\n');
+
+let totalBefore = 0;
+let totalAfter = 0;
+let optimizedCount = 0;
+
+async function optimizeImage(filename) {
+  const srcPath = path.join(IMG_DIR, filename);
+  const backupPath = path.join(BACKUP_DIR, filename);
+
+  if (!fs.existsSync(srcPath)) {
+    console.log(`⚠️  跳过: ${filename} (文件不存在)`);
+    return;
+  }
+
+  try {
+    // 获取原始大小
+    const beforeStats = fs.statSync(srcPath);
+    const beforeSize = beforeStats.size;
+    totalBefore += beforeSize;
+
+    // 备份原始文件
+    if (!fs.existsSync(backupPath)) {
+      fs.copyFileSync(srcPath, backupPath);
+    }
+
+    // 读取图片元数据
+    const metadata = await sharp(srcPath).metadata();
+
+    // 优化策略：
+    // 1. 如果宽度 > 2000px，缩放到 2000px
+    // 2. 压缩质量到 85
+    // 3. 使用 pngquant 算法压缩
+    let pipeline = sharp(srcPath);
+
+    if (metadata.width > 2000) {
+      pipeline = pipeline.resize(2000, null, {
+        withoutEnlargement: true,
+        fit: 'inside'
+      });
+    }
+
+    // PNG优化
+    pipeline = pipeline.png({
+      quality: 85,
+      compressionLevel: 9,
+      adaptiveFiltering: true,
+      force: true
+    });
+
+    // 保存优化后的图片
+    await pipeline.toFile(srcPath + '.tmp');
+
+    // 替换原文件
+    fs.renameSync(srcPath + '.tmp', srcPath);
+
+    // 获取优化后的大小
+    const afterStats = fs.statSync(srcPath);
+    const afterSize = afterStats.size;
+    totalAfter += afterSize;
+
+    // 计算节省的大小
+    const saved = beforeSize - afterSize;
+    const percent = Math.round((saved / beforeSize) * 100);
+
+    if (saved > 0) {
+      optimizedCount++;
+      console.log(`✅ ${filename}`);
+      console.log(`   ${Math.round(beforeSize/1024)} KB → ${Math.round(afterSize/1024)} KB`);
+      console.log(`   节省: ${Math.round(saved/1024)} KB (-${percent}%)\n`);
+    } else {
+      console.log(`ℹ️  ${filename} - 已经是最优化状态\n`);
+    }
+
+  } catch (error) {
+    console.error(`❌ ${filename} 优化失败:`, error.message);
+  }
+}
+
+async function main() {
+  // 依次优化每个图片
+  for (const img of LARGE_IMAGES) {
+    await optimizeImage(img);
+  }
+
+  console.log('================================');
+  console.log('📊 优化总结:\n');
+  console.log(`   优化前总大小: ${Math.round(totalBefore/1024/1024)} MB`);
+  console.log(`   优化后总大小: ${Math.round(totalAfter/1024/1024)} MB`);
+
+  const totalSaved = totalBefore - totalAfter;
+  const totalPercent = Math.round((totalSaved / totalBefore) * 100);
+
+  console.log(`   节省空间: ${Math.round(totalSaved/1024/1024)} MB (-${totalPercent}%)`);
+  console.log(`   成功优化: ${optimizedCount}/${LARGE_IMAGES.length} 个文件\n`);
+  console.log('✅ 图片优化完成！');
+  console.log(`📁 原始文件已备份到: ${BACKUP_DIR}\n`);
+}
+
+main().catch(console.error);