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"https://registry.npmjs.org/setimmediate/-/setimmediate-1.0.5.tgz", "integrity": "sha512-MATJdZp8sLqDl/68LfQmbP8zKPLQNV6BIZoIgrscFDQ+RsvK/BxeDQOgyxKKoh0y/8h3BqVFnCqQ/gd+reiIXA==" }, + "node_modules/sharp": { + "version": "0.33.5", + "resolved": "https://registry.npmjs.org/sharp/-/sharp-0.33.5.tgz", + "integrity": "sha512-haPVm1EkS9pgvHrQ/F3Xy+hgcuMV0Wm9vfIBSiwZ05k+xgb0PkBQpGsAA/oWdDobNaZTH5ppvHtzCFbnSEwHVw==", + "dev": true, + "hasInstallScript": true, + "license": "Apache-2.0", + "dependencies": { + "color": "^4.2.3", + "detect-libc": "^2.0.3", + "semver": "^7.6.3" + }, + "engines": { + "node": "^18.17.0 || ^20.3.0 || >=21.0.0" + }, + "funding": { + "url": "https://opencollective.com/libvips" + }, + "optionalDependencies": { + "@img/sharp-darwin-arm64": "0.33.5", + "@img/sharp-darwin-x64": "0.33.5", + "@img/sharp-libvips-darwin-arm64": "1.0.4", + "@img/sharp-libvips-darwin-x64": "1.0.4", + "@img/sharp-libvips-linux-arm": "1.0.5", + "@img/sharp-libvips-linux-arm64": "1.0.4", + "@img/sharp-libvips-linux-s390x": "1.0.4", + "@img/sharp-libvips-linux-x64": "1.0.4", + "@img/sharp-libvips-linuxmusl-arm64": "1.0.4", + "@img/sharp-libvips-linuxmusl-x64": "1.0.4", + "@img/sharp-linux-arm": "0.33.5", + "@img/sharp-linux-arm64": "0.33.5", + "@img/sharp-linux-s390x": "0.33.5", + "@img/sharp-linux-x64": "0.33.5", + "@img/sharp-linuxmusl-arm64": "0.33.5", + "@img/sharp-linuxmusl-x64": "0.33.5", + "@img/sharp-wasm32": "0.33.5", + "@img/sharp-win32-ia32": "0.33.5", + "@img/sharp-win32-x64": "0.33.5" + } + }, "node_modules/shebang-command": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz", @@ -5927,6 +6485,16 @@ "url": "https://github.com/sponsors/isaacs" } }, + "node_modules/simple-swizzle": { + "version": "0.2.2", + "resolved": "https://registry.npmjs.org/simple-swizzle/-/simple-swizzle-0.2.2.tgz", + "integrity": "sha512-JA//kQgZtbuY83m+xT+tXJkmJncGMTFT+C+g2h2R9uxkYIrE2yy9sgmcLhCnw57/WSD+Eh3J97FPEDFnbXnDUg==", + "dev": true, + "license": "MIT", + "dependencies": { + "is-arrayish": "^0.3.1" + } + }, "node_modules/sisteransi": { "version": "1.0.5", "resolved": "https://registry.npmjs.org/sisteransi/-/sisteransi-1.0.5.tgz", diff --git a/package.json b/package.json index 94cce6be3e7..42522d69e2e 100644 --- a/package.json +++ b/package.json @@ -35,11 +35,13 @@ "dependency-cruiser": "^16.3.10", "eslint": "^9.7.0", "eslint-plugin-import-x": "^4.2.1", + "glob": "^11.0.0", "inquirer": "^11.0.2", "jsdom": "^24.0.0", "lefthook": "^1.6.12", "msw": "^2.4.9", "phaser3spectorjs": "^0.0.8", + "sharp": "^0.33.5", "typedoc": "^0.26.4", "typescript": "^5.5.3", "typescript-eslint": "^8.0.0-alpha.54", diff --git a/scripts/optimize-images.js b/scripts/optimize-images.js new file mode 100644 index 00000000000..fcd21daaa5d --- /dev/null +++ b/scripts/optimize-images.js @@ -0,0 +1,133 @@ +import sharp from 'sharp'; +import { promises as fs } from 'fs'; +import path from 'path'; +import { fileURLToPath } from 'url'; +import { glob } from 'glob'; +import os from 'os'; + +const __filename = fileURLToPath(import.meta.url); +const __dirname = path.dirname(__filename); + +const sourceDir = 'public/images'; +const outputDir = 'dist/images'; + +// 统计数据 +let totalFiles = 0; +let totalOriginalSize = 0; +let totalOptimizedSize = 0; +let successCount = 0; +let failCount = 0; +let startTime = Date.now(); + +// 文件大小阈值(字节) +const SMALL_FILE_THRESHOLD = 5 * 1024; // 5KB + +async function optimizeImage(inputPath) { + const relativePath = path.relative(sourceDir, inputPath); + const outputPath = path.join(outputDir, relativePath); + const outputDirPath = path.dirname(outputPath); + + await fs.mkdir(outputDirPath, { recursive: true }); + + try { + const inputStats = await fs.stat(inputPath); + const isSmallFile = inputStats.size < SMALL_FILE_THRESHOLD; + + // 根据文件大小选择不同的压缩策略 + let sharpInstance = sharp(inputPath); + + if (isSmallFile) { + // 小文件使用无损压缩策略 + await sharpInstance + .png({ + compressionLevel: 9, + effort: 10, + palette: false // 不使用调色板模式 + }) + .toFile(outputPath); + } else { + // 大文件使用有损压缩策略 + await sharpInstance + .png({ + quality: 80, + compressionLevel: 9, + palette: true, + colors: 256, + dither: 0.5, + effort: 10 + }) + .toFile(outputPath); + } + + const outputStats = await fs.stat(outputPath); + const savings = ((inputStats.size - outputStats.size) / inputStats.size * 100).toFixed(2); + + // 如果优化后文件更大,使用原始文件 + if (outputStats.size > inputStats.size) { + await fs.copyFile(inputPath, outputPath); + console.log(`⚠️ ${relativePath} (使用原始文件)`); + } else { + console.log(`✓ ${relativePath}`); + } + + // 更新统计数据 + totalOriginalSize += inputStats.size; + totalOptimizedSize += Math.min(inputStats.size, outputStats.size); + successCount++; + + console.log(` 原始大小: ${(inputStats.size / 1024).toFixed(2)}KB`); + console.log(` 优化大小: ${(Math.min(inputStats.size, outputStats.size) / 1024).toFixed(2)}KB`); + console.log(` 节省: ${((inputStats.size - Math.min(inputStats.size, outputStats.size)) / inputStats.size * 100).toFixed(2)}%\n`); + } catch (error) { + console.error(`✗ 处理 ${relativePath} 时出错:`, error); + failCount++; + } +} + +function printReport() { + const endTime = Date.now(); + const duration = ((endTime - startTime) / 1000).toFixed(2); + const totalSavings = ((totalOriginalSize - totalOptimizedSize) / totalOriginalSize * 100).toFixed(2); + + console.log('\n========== 优化结果报告 =========='); + console.log(`处理总文件数: ${totalFiles}`); + console.log(`成功处理: ${successCount} 个文件`); + console.log(`处理失败: ${failCount} 个文件`); + console.log(`原始总大小: ${(totalOriginalSize / 1024 / 1024).toFixed(2)}MB`); + console.log(`优化后总大小: ${(totalOptimizedSize / 1024 / 1024).toFixed(2)}MB`); + console.log(`总体积减少: ${totalSavings}%`); + console.log(`处理耗时: ${duration}秒`); + console.log(`CPU核心数: ${os.cpus().length}`); + console.log('================================\n'); +} + +async function processImages() { + try { + // 清空输出目录 + await fs.rm(outputDir, { recursive: true, force: true }); + await fs.mkdir(outputDir, { recursive: true }); + + // 获取所有PNG文件 + const files = await glob(path.join(sourceDir, '**/*.png')); + totalFiles = files.length; + + console.log(`找到 ${files.length} 个PNG文件需要优化\n`); + + // 使用工作池并行处理图片,限制并发数为CPU核心数 + const concurrency = os.cpus().length; + const chunks = []; + for (let i = 0; i < files.length; i += concurrency) { + chunks.push(files.slice(i, i + concurrency)); + } + + for (const chunk of chunks) { + await Promise.all(chunk.map(file => optimizeImage(file))); + } + + printReport(); + } catch (error) { + console.error('处理过程中发生错误:', error); + } +} + +processImages(); \ No newline at end of file