feat: Initial commit for Hugging Face Spaces

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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.gitignore

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+node_modules/
+data/
+.DS_Store

Dockerfile

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+# 使用 Node.js 官方镜像
+FROM node:18-alpine
+
+# 设置工作目录
+WORKDIR /app
+
+# 复制 package.json 和 package-lock.json
+COPY package*.json ./
+
+# 安装依赖
+RUN npm install
+
+# 复制源代码
+COPY . .
+
+# 暴露端口
+EXPOSE 7860
+
+# 启动命令
+CMD ["node", "index.js"]

README.md

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+---
+title: Node.js 性能优化与大文件处理演示
+emoji: 🚀
+colorFrom: blue
+colorTo: green
+sdk: docker
+app_port: 7860
+short_description: 演示 Node.js 大文件流式读写、XML/JSON 处理及性能监控的完整示例项目。
+---
+
+# Node.js 性能优化与大文件处理演示项目
+
+本项目演示了在 Node.js 中处理大规模数据和优化性能的最佳实践。包含以下核心功能：
+
+1.  **大文件流式处理**：使用 Stream API 高效读写 GB 级文件，避免内存溢出。
+2.  **XML 与 JSON 处理**：演示 `fast-xml-parser` 和 `stream-json` 的使用。
+3.  **性能监控**：使用 `perf_hooks` 和 `process.memoryUsage` 实时监控执行时间和内存占用。
+
+## 功能特性
+
+- **流式架构**：核心模块均采用流式处理，适用于高并发和大数据量场景。
+- **性能分析**：内置简单的性能监控工具，可直观看到各操作耗时。
+- **模块化设计**：功能拆分为独立模块，易于扩展和维护。
+
+## 快速开始
+
+### 本地运行
+
+1.  克隆项目并进入目录：
+    ```bash
+    git clone <repository-url>
+    cd nodejs-performance-project
+    ```
+
+2.  安装依赖：
+    ```bash
+    npm install
+    ```
+
+3.  运行演示脚本：
+    ```bash
+    node index.js
+    ```
+
+### Docker 运行
+
+1.  构建镜像：
+    ```bash
+    docker build -t nodejs-perf-demo .
+    ```
+
+2.  运行容器：
+    ```bash
+    docker run --rm nodejs-perf-demo
+    ```
+
+## 目录结构
+
+```
+.
+├── Dockerfile          # Docker 构建文件
+├── README.md           # 项目文档
+├── index.js            # 主入口文件
+├── package.json        # 项目配置
+└── src                 # 源代码目录
+    ├── largeFile.js    # 大文件处理模块
+    ├── performance.js  # 性能监控工具
+    └── xmlJson.js      # XML/JSON 处理模块
+```
+
+## 性能调优建议
+
+- **优先使用 Stream**：处理大文件时，永远优先选择流式操作。
+- **减少对象创建**：在高频循环中避免不必要的对象分配。
+- **异步非阻塞**：充分利用 Node.js 的异步特性，避免阻塞事件循环。
+
+## 许可证
+
+MIT

index.js

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+const express = require('express');
+const path = require('path');
+const fs = require('fs');
+const LargeFileHandler = require('./src/largeFile');
+const xmlJsonHandler = require('./src/xmlJson');
+const performanceMonitor = require('./src/performance');
+
+const app = express();
+const PORT = 7860;
+
+const DATA_DIR = path.join(__dirname, 'data');
+
+// Ensure data directory exists
+if (!fs.existsSync(DATA_DIR)) {
+    fs.mkdirSync(DATA_DIR);
+}
+
+const LARGE_FILE_PATH = path.join(DATA_DIR, 'large_data.csv');
+const XML_FILE_PATH = path.join(DATA_DIR, 'data.xml');
+const LARGE_JSON_PATH = path.join(DATA_DIR, 'large_data.json');
+
+// Custom logger to capture output
+class StringLogger {
+    constructor() {
+        this.logs = [];
+    }
+    log(...args) {
+        const msg = args.map(arg => (typeof arg === 'object' ? JSON.stringify(arg, null, 2) : String(arg))).join(' ');
+        this.logs.push(msg);
+    }
+    error(...args) {
+        const msg = args.map(arg => (typeof arg === 'object' ? JSON.stringify(arg, null, 2) : String(arg))).join(' ');
+        this.logs.push(`ERROR: ${msg}`);
+    }
+    getOutput() {
+        return this.logs.join('\n');
+    }
+}
+
+async function runDemo() {
+    console.log('=== Node.js 性能优化与大文件处理演示 ===\n');
+
+    try {
+        // 1. Large File Processing Demo
+        console.log('--- 1. 大文件流式处理 ---');
+        const largeFileHandler = new LargeFileHandler(LARGE_FILE_PATH);
+        
+        // Generate 100k lines (reduced for demo speed on web request)
+        const lineCount = 100000; 
+        console.log(`正在生成测试数据 (${lineCount} 行)...`);
+        await largeFileHandler.generateTestFile(lineCount); 
+        
+        // Stream processing
+        console.log('开始流式处理...');
+        await largeFileHandler.processFileStream();
+        
+        console.log('\n--- 2. XML 处理 ---');
+        // Generate XML
+        const xmlContent = xmlJsonHandler.generateXml(1000); // Reduced size
+        fs.writeFileSync(XML_FILE_PATH, xmlContent);
+        console.log(`XML 文件已保存: ${XML_FILE_PATH}`);
+        
+        // Parse XML
+        const parsedXml = xmlJsonHandler.parseXml(xmlContent);
+        console.log('XML 解析完成');
+        
+        console.log('\n--- 3. JSON 大文件流式处理 ---');
+        // Generate large JSON
+        console.log('正在生成 JSON 数据...');
+        await xmlJsonHandler.generateLargeJson(LARGE_JSON_PATH, 10000); // Reduced size
+        
+        // Stream parse JSON
+        console.log('开始流式解析 JSON...');
+        await xmlJsonHandler.processLargeJsonStream(LARGE_JSON_PATH);
+
+        console.log('\n=== 演示结束 ===');
+        
+        // Capture memory usage
+        const used = process.memoryUsage();
+        console.log('Memory Usage:');
+        for (let key in used) {
+            console.log(`${key}: ${Math.round(used[key] / 1024 / 1024 * 100) / 100} MB`);
+        }
+
+    } catch (err) {
+        console.error('发生错误:', err);
+    }
+}
+
+app.get('/', async (req, res) => {
+    const logger = new StringLogger();
+    
+    // Check if running
+    if (global.isDemoRunning) {
+        return res.send('Demo is already running, please wait...');
+    }
+    
+    global.isDemoRunning = true;
+
+    // Override console methods to capture output
+    const originalConsoleLog = console.log;
+    const originalConsoleError = console.error;
+    
+    console.log = (...args) => {
+        logger.log(...args);
+        originalConsoleLog.apply(console, args);
+    };
+    console.error = (...args) => {
+        logger.error(...args);
+        originalConsoleError.apply(console, args);
+    };
+
+    try {
+        await runDemo();
+    } catch (e) {
+        console.error('Unhandled error in demo:', e);
+    } finally {
+        // Restore console methods
+        console.log = originalConsoleLog;
+        console.error = originalConsoleError;
+        global.isDemoRunning = false;
+    }
+
+    const output = logger.getOutput();
+    res.send(`
+        <html>
+            <head>
+                <title>Node.js Performance Demo</title>
+                <style>
+                    body { font-family: monospace; background: #f0f0f0; padding: 20px; }
+                    pre { background: #fff; padding: 20px; border-radius: 5px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); white-space: pre-wrap; }
+                    h1 { color: #333; }
+                </style>
+            </head>
+            <body>
+                <h1>Node.js Performance Demo Output</h1>
+                <pre>${output}</pre>
+                <p>Refresh to run again.</p>
+            </body>
+        </html>
+    `);
+});
+
+app.listen(PORT, () => {
+    console.log(`Server is running on http://localhost:${PORT}`);
+});

package-lock.json

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+      "license": "MIT"
+    },
+    "node_modules/send": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmmirror.com/send/-/send-1.2.1.tgz",
+      "integrity": "sha512-1gnZf7DFcoIcajTjTwjwuDjzuz4PPcY2StKPlsGAQ1+YH20IRVrBaXSWmdjowTJ6u8Rc01PoYOGHXfP1mYcZNQ==",
+      "license": "MIT",
+      "dependencies": {
+        "debug": "^4.4.3",
+        "encodeurl": "^2.0.0",
+        "escape-html": "^1.0.3",
+        "etag": "^1.8.1",
+        "fresh": "^2.0.0",
+        "http-errors": "^2.0.1",
+        "mime-types": "^3.0.2",
+        "ms": "^2.1.3",
+        "on-finished": "^2.4.1",
+        "range-parser": "^1.2.1",
+        "statuses": "^2.0.2"
+      },
+      "engines": {
+        "node": ">= 18"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/express"
+      }
+    },
+    "node_modules/serve-static": {
+      "version": "2.2.1",
+      "resolved": "https://registry.npmmirror.com/serve-static/-/serve-static-2.2.1.tgz",
+      "integrity": "sha512-xRXBn0pPqQTVQiC8wyQrKs2MOlX24zQ0POGaj0kultvoOCstBQM5yvOhAVSUwOMjQtTvsPWoNCHfPGwaaQJhTw==",
+      "license": "MIT",
+      "dependencies": {
+        "encodeurl": "^2.0.0",
+        "escape-html": "^1.0.3",
+        "parseurl": "^1.3.3",
+        "send": "^1.2.0"
+      },
+      "engines": {
+        "node": ">= 18"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/express"
+      }
+    },
+    "node_modules/setprototypeof": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmmirror.com/setprototypeof/-/setprototypeof-1.2.0.tgz",
+      "integrity": "sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw==",
+      "license": "ISC"
+    },
+    "node_modules/side-channel": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmmirror.com/side-channel/-/side-channel-1.1.0.tgz",
+      "integrity": "sha512-ZX99e6tRweoUXqR+VBrslhda51Nh5MTQwou5tnUDgbtyM0dBgmhEDtWGP/xbKn6hqfPRHujUNwz5fy/wbbhnpw==",
+      "license": "MIT",
+      "dependencies": {
+        "es-errors": "^1.3.0",
+        "object-inspect": "^1.13.3",
+        "side-channel-list": "^1.0.0",
+        "side-channel-map": "^1.0.1",
+        "side-channel-weakmap": "^1.0.2"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/side-channel-list": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmmirror.com/side-channel-list/-/side-channel-list-1.0.0.tgz",
+      "integrity": "sha512-FCLHtRD/gnpCiCHEiJLOwdmFP+wzCmDEkc9y7NsYxeF4u7Btsn1ZuwgwJGxImImHicJArLP4R0yX4c2KCrMrTA==",
+      "license": "MIT",
+      "dependencies": {
+        "es-errors": "^1.3.0",
+        "object-inspect": "^1.13.3"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/side-channel-map": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmmirror.com/side-channel-map/-/side-channel-map-1.0.1.tgz",
+      "integrity": "sha512-VCjCNfgMsby3tTdo02nbjtM/ewra6jPHmpThenkTYh8pG9ucZ/1P8So4u4FGBek/BjpOVsDCMoLA/iuBKIFXRA==",
+      "license": "MIT",
+      "dependencies": {
+        "call-bound": "^1.0.2",
+        "es-errors": "^1.3.0",
+        "get-intrinsic": "^1.2.5",
+        "object-inspect": "^1.13.3"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/side-channel-weakmap": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmmirror.com/side-channel-weakmap/-/side-channel-weakmap-1.0.2.tgz",
+      "integrity": "sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A==",
+      "license": "MIT",
+      "dependencies": {
+        "call-bound": "^1.0.2",
+        "es-errors": "^1.3.0",
+        "get-intrinsic": "^1.2.5",
+        "object-inspect": "^1.13.3",
+        "side-channel-map": "^1.0.1"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/statuses": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmmirror.com/statuses/-/statuses-2.0.2.tgz",
+      "integrity": "sha512-DvEy55V3DB7uknRo+4iOGT5fP1slR8wQohVdknigZPMpMstaKJQWhwiYBACJE3Ul2pTnATihhBYnRhZQHGBiRw==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/stream-chain": {
+      "version": "2.2.5",
+      "resolved": "https://registry.npmmirror.com/stream-chain/-/stream-chain-2.2.5.tgz",
+      "integrity": "sha512-1TJmBx6aSWqZ4tx7aTpBDXK0/e2hhcNSTV8+CbFJtDjbb+I1mZ8lHit0Grw9GRT+6JbIrrDd8esncgBi8aBXGA==",
+      "license": "BSD-3-Clause"
+    },
+    "node_modules/stream-json": {
+      "version": "1.9.1",
+      "resolved": "https://registry.npmmirror.com/stream-json/-/stream-json-1.9.1.tgz",
+      "integrity": "sha512-uWkjJ+2Nt/LO9Z/JyKZbMusL8Dkh97uUBTv3AJQ74y07lVahLY4eEFsPsE97pxYBwr8nnjMAIch5eqI0gPShyw==",
+      "license": "BSD-3-Clause",
+      "dependencies": {
+        "stream-chain": "^2.2.5"
+      }
+    },
+    "node_modules/strnum": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmmirror.com/strnum/-/strnum-2.2.0.tgz",
+      "integrity": "sha512-Y7Bj8XyJxnPAORMZj/xltsfo55uOiyHcU2tnAVzHUnSJR/KsEX+9RoDeXEnsXtl/CX4fAcrt64gZ13aGaWPeBg==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/NaturalIntelligence"
+        }
+      ],
+      "license": "MIT"
+    },
+    "node_modules/toidentifier": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmmirror.com/toidentifier/-/toidentifier-1.0.1.tgz",
+      "integrity": "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=0.6"
+      }
+    },
+    "node_modules/type-is": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmmirror.com/type-is/-/type-is-2.0.1.tgz",
+      "integrity": "sha512-OZs6gsjF4vMp32qrCbiVSkrFmXtG/AZhY3t0iAMrMBiAZyV9oALtXO8hsrHbMXF9x6L3grlFuwW2oAz7cav+Gw==",
+      "license": "MIT",
+      "dependencies": {
+        "content-type": "^1.0.5",
+        "media-typer": "^1.1.0",
+        "mime-types": "^3.0.0"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/unpipe": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmmirror.com/unpipe/-/unpipe-1.0.0.tgz",
+      "integrity": "sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/vary": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmmirror.com/vary/-/vary-1.1.2.tgz",
+      "integrity": "sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/wrappy": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmmirror.com/wrappy/-/wrappy-1.0.2.tgz",
+      "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==",
+      "license": "ISC"
+    }
+  }
+}

package.json

@@ -0,0 +1,18 @@
+{
+  "name": "nodejs-performance-project",
+  "version": "1.0.0",
+  "description": "",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "keywords": [],
+  "author": "",
+  "license": "ISC",
+  "type": "commonjs",
+  "dependencies": {
+    "express": "^5.2.1",
+    "fast-xml-parser": "^5.5.1",
+    "stream-json": "^1.9.1"
+  }
+}

src/largeFile.js

@@ -0,0 +1,101 @@
+const fs = require('fs');
+const path = require('path');
+const readline = require('readline');
+const performanceMonitor = require('./performance');
+
+/**
+ * 大文件处理模块
+ * 使用流（Stream）处理大文件，避免一次性加载到内存导致溢出
+ */
+class LargeFileHandler {
+    constructor(filePath) {
+        this.filePath = filePath;
+    }
+
+    /**
+     * 生成测试用的大文件
+     * @param {number} lines - 行数
+     */
+    async generateTestFile(lines = 100000) {
+        performanceMonitor.start('生成大文件');
+        return new Promise((resolve, reject) => {
+            const stream = fs.createWriteStream(this.filePath);
+            
+            // 使用 Buffer 写入可以提高性能，但为了演示简单这里直接写字符串
+            for (let i = 0; i < lines; i++) {
+                // 模拟 CSV 格式数据：ID,Name,Timestamp,Value
+                const data = `${i},User_${i},${Date.now()},${Math.random() * 1000}\n`;
+                if (!stream.write(data)) {
+                    // 如果缓冲区满了，等待 drain 事件
+                    // 这里为了简化演示没有处理背压（backpressure），实际生产中应该处理
+                }
+            }
+            
+            stream.end();
+            stream.on('finish', () => {
+                performanceMonitor.end('生成大文件');
+                console.log(`[大文件] 已生成测试文件: ${this.filePath}`);
+                resolve();
+            });
+            stream.on('error', reject);
+        });
+    }
+
+    /**
+     * 使用流读取并处理大文件
+     * 演示逐行读取并进行简单的数据聚合
+     */
+    async processFileStream() {
+        performanceMonitor.start('流式处理大文件');
+        
+        const fileStream = fs.createReadStream(this.filePath);
+        const rl = readline.createInterface({
+            input: fileStream,
+            crlfDelay: Infinity
+        });
+
+        let lineCount = 0;
+        let sumValue = 0;
+
+        for await (const line of rl) {
+            lineCount++;
+            // 简单的处理逻辑：解析每行数据并累加 Value 字段
+            const parts = line.split(',');
+            if (parts.length >= 4) {
+                sumValue += parseFloat(parts[3]);
+            }
+        }
+
+        console.log(`[大文件] 处理完成。总行数: ${lineCount}, Value总和: ${sumValue.toFixed(2)}`);
+        performanceMonitor.end('流式处理大文件');
+    }
+
+    /**
+     * 对比测试：尝试一次性读取（慎用，可能会导致内存溢出）
+     * 仅用于展示小文件或性能对比
+     */
+    async processFileSync() {
+        console.log('[大文件] 警告：尝试一次性读取文件（不推荐用于大文件）...');
+        try {
+            performanceMonitor.start('同步读取文件');
+            const data = fs.readFileSync(this.filePath, 'utf-8');
+            const lines = data.split('\n');
+            let sumValue = 0;
+            
+            lines.forEach(line => {
+                if (!line) return;
+                const parts = line.split(',');
+                if (parts.length >= 4) {
+                    sumValue += parseFloat(parts[3]);
+                }
+            });
+            
+            console.log(`[大文件] 同步处理完成。Value总和: ${sumValue.toFixed(2)}`);
+            performanceMonitor.end('同步读取文件');
+        } catch (err) {
+            console.error('[大文件] 读取失败:', err.message);
+        }
+    }
+}
+
+module.exports = LargeFileHandler;

src/performance.js

@@ -0,0 +1,46 @@
+const { performance } = require('perf_hooks');
+
+/**
+ * 性能监控工具模块
+ */
+class PerformanceMonitor {
+    constructor() {
+        this.timers = new Map();
+    }
+
+    /**
+     * 开始计时
+     * @param {string} label - 计时器标签
+     */
+    start(label) {
+        this.timers.set(label, performance.now());
+        console.log(`[性能监控] 开始任务: ${label}`);
+    }
+
+    /**
+     * 结束计时并输出结果
+     * @param {string} label - 计时器标签
+     */
+    end(label) {
+        const startTime = this.timers.get(label);
+        if (!startTime) {
+            console.warn(`[性能监控] 未找到标签为 "${label}" 的计时器`);
+            return;
+        }
+        const endTime = performance.now();
+        const duration = (endTime - startTime).toFixed(3);
+        console.log(`[性能监控] 结束任务: ${label}, 耗时: ${duration}ms`);
+        this.timers.delete(label);
+        this.logMemoryUsage();
+    }
+
+    /**
+     * 输出当前内存使用情况
+     */
+    logMemoryUsage() {
+        const used = process.memoryUsage();
+        console.log(`[内存监控] RSS: ${(used.rss / 1024 / 1024).toFixed(2)} MB, Heap Total: ${(used.heapTotal / 1024 / 1024).toFixed(2)} MB, Heap Used: ${(used.heapUsed / 1024 / 1024).toFixed(2)} MB`);
+    }
+}
+
+module.exports = new PerformanceMonitor();

src/xmlJson.js

@@ -0,0 +1,151 @@
+const fs = require('fs');
+const path = require('path');
+const { XMLParser, XMLBuilder } = require('fast-xml-parser');
+const StreamArray = require('stream-json/streamers/StreamArray');
+const { chain } = require('stream-chain');
+const { parser } = require('stream-json');
+const { pick } = require('stream-json/filters/Pick');
+const { ignore } = require('stream-json/filters/Ignore');
+const performanceMonitor = require('./performance');
+
+/**
+ * XML与JSON处理模块
+ * 演示：
+ * 1. 使用 fast-xml-parser 解析和生成XML
+ * 2. 使用 stream-json 流式处理大型JSON文件
+ */
+class XmlJsonHandler {
+    constructor() {
+        this.xmlParser = new XMLParser();
+        this.xmlBuilder = new XMLBuilder();
+    }
+
+    /**
+     * 生成测试用的 XML 数据
+     */
+    generateXml(itemCount = 1000) {
+        performanceMonitor.start('生成XML');
+        const items = [];
+        for (let i = 0; i < itemCount; i++) {
+            items.push({
+                id: i,
+                name: `Item_${i}`,
+                price: Math.random() * 100,
+                description: `Description for item ${i}`
+            });
+        }
+        
+        const xmlObj = {
+            root: {
+                metadata: { timestamp: Date.now() },
+                items: { item: items }
+            }
+        };
+
+        const xmlContent = this.xmlBuilder.build(xmlObj);
+        performanceMonitor.end('生成XML');
+        return xmlContent;
+    }
+
+    /**
+     * 解析 XML 数据
+     */
+    parseXml(xmlContent) {
+        performanceMonitor.start('解析XML');
+        const result = this.xmlParser.parse(xmlContent);
+        // 简单处理：统计 items 数量
+        const count = result.root.items.item.length;
+        console.log(`[XML处理] 解析完成，包含 ${count} 个条目`);
+        performanceMonitor.end('解析XML');
+        return result;
+    }
+
+    /**
+     * 生成测试用的大型 JSON 文件
+     */
+    async generateLargeJson(filePath, itemCount = 50000) {
+        performanceMonitor.start('生成大JSON文件');
+        return new Promise((resolve, reject) => {
+            const stream = fs.createWriteStream(filePath);
+            stream.write('[\n'); // 开始 JSON 数组
+            
+            let i = 0;
+            const writeNext = () => {
+                let ok = true;
+                do {
+                    i++;
+                    const item = {
+                        id: i,
+                        data: `Data_${i}`,
+                        timestamp: Date.now(),
+                        nested: { info: `Nested info ${i}` }
+                    };
+                    const isLast = i === itemCount;
+                    const content = JSON.stringify(item) + (isLast ? '' : ',\n');
+                    
+                    if (isLast) {
+                        stream.write(content);
+                        stream.write('\n]'); // 结束 JSON 数组
+                        stream.end();
+                    } else {
+                        ok = stream.write(content);
+                    }
+                } while (i < itemCount && ok);
+
+                if (i < itemCount) {
+                    stream.once('drain', writeNext);
+                }
+            };
+            
+            writeNext();
+
+            stream.on('finish', () => {
+                performanceMonitor.end('生成大JSON文件');
+                console.log(`[JSON处理] 已生成大JSON文件: ${filePath}`);
+                resolve();
+            });
+            stream.on('error', reject);
+        });
+    }
+
+    /**
+     * 流式解析大型 JSON 文件
+     * 使用 stream-json 避免将整个大数组加载进内存
+     */
+    async processLargeJsonStream(filePath) {
+        performanceMonitor.start('流式处理大JSON');
+        
+        return new Promise((resolve, reject) => {
+            let counter = 0;
+            
+            // 构建流处理链：读取 -> 解析 -> 提取数组元素 -> 处理每个对象
+            const pipeline = chain([
+                fs.createReadStream(filePath),
+                parser(),
+                StreamArray.streamArray(), // 假设顶层是一个数组
+            ]);
+
+            pipeline.on('data', (data) => {
+                // data 结构: { key: number, value: object }
+                counter++;
+                // 模拟处理逻辑，比如每处理 10000 条打印一次进度
+                if (counter % 10000 === 0) {
+                    // console.log(`[JSON流] 已处理 ${counter} 条记录...`);
+                }
+            });
+
+            pipeline.on('end', () => {
+                console.log(`[JSON流] 处理完成，共计 ${counter} 条记录`);
+                performanceMonitor.end('流式处理大JSON');
+                resolve();
+            });
+
+            pipeline.on('error', (err) => {
+                console.error('[JSON流] 处理出错:', err);
+                reject(err);
+            });
+        });
+    }
+}
+
+module.exports = new XmlJsonHandler();