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性能优化版TypeScript实现","maintainers":[{"name":"joebrid9ewong","email":"wangdongqiao1028@gmail.com"}],"readme":"# @brid9e/fuzzy-search\n\n🔍 **智能模糊搜索库** - 高性能TypeScript实现，专为中文优化\n\n[![npm version](https://badge.fury.io/js/%40brid9e%2Ffuzzy-search.svg)](https://badge.fury.io/js/%40brid9e%2Ffuzzy-search)\n[![TypeScript](https://img.shields.io/badge/TypeScript-007ACC?logo=typescript&logoColor=white)](https://www.typescriptlang.org/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\n## ✨ 特性\n\n- 🚀 **高性能** - 优化的算法实现，支持大数据集搜索\n- 🇨🇳 **中文友好** - 专门针对中文字符和词组优化\n- 📦 **现代化** - 完整的TypeScript支持，ESM/CommonJS双格式\n- 🎯 **智能匹配** - 多种匹配算法组合，精确度高\n- ⚡ **缓存优化** - 内置缓存机制，提升重复搜索性能\n- 🔧 **可配置** - 灵活的权重配置和搜索选项\n\n## 📦 安装\n\n```bash\n# 使用 npm\nnpm install @brid9e/fuzzy-search\n\n# 使用 yarn\nyarn add @brid9e/fuzzy-search\n\n# 使用 pnpm\npnpm add @brid9e/fuzzy-search\n```\n\n## 🚀 快速开始\n\n### 基础用法\n\n```typescript\nimport { smartFuzzySearch } from '@brid9e/fuzzy-search'\n\n// 准备数据\nconst users = [\n  { id: 1, name: '张三', email: 'zhangsan@example.com' },\n  { id: 2, name: '李四', email: 'lisi@example.com' },\n  { id: 3, name: '王五', email: 'wangwu@example.com' }\n]\n\n// 搜索用户\nconst result = smartFuzzySearch(users, 'name', '张')\nconsole.log(result) // { id: 1, name: '张三', email: 'zhangsan@example.com' }\n```\n\n### 获取所有匹配结果\n\n```typescript\nimport { smartFuzzySearchAll } from '@brid9e/fuzzy-search'\n\nconst results = smartFuzzySearchAll(users, 'name', '三', {\n  minScore: 0.3\n})\nconsole.log(results) // 返回所有匹配度≥0.3的结果，按分数排序\n```\n\n## 🔧 API 文档\n\n### `smartFuzzySearch<T>(list, field, searchTerm, options?): T | null`\n\n返回匹配度最高的单个结果。\n\n**参数:**\n- `list: T[]` - 要搜索的数组\n- `field: keyof T` - 要搜索的字段名\n- `searchTerm: string` - 搜索关键词\n- `options?: SearchOptions` - 搜索选项\n\n### `smartFuzzySearchAll<T>(list, field, searchTerm, options?): T[]`\n\n返回所有匹配的结果，按匹配度排序。\n\n### 搜索选项 (SearchOptions)\n\n```typescript\ninterface SearchOptions {\n  minScore?: number          // 最小匹配分数 (默认: 0.3)\n  caseSensitive?: boolean    // 是否区分大小写 (默认: false)\n  weightConfig?: Partial<WeightConfig>  // 权重配置\n  enableCache?: boolean      // 启用缓存 (默认: true)\n  maxEditDistance?: number   // 最大编辑距离 (默认: 10)\n}\n```\n\n### 权重配置 (WeightConfig)\n\n```typescript\ninterface WeightConfig {\n  exactMatch: number      // 完全匹配权重 (默认: 1.0)\n  prefixMatch: number     // 前缀匹配权重 (默认: 0.8)\n  containsMatch: number   // 包含匹配权重 (默认: 0.6)\n  charSimilarity: number  // 字符相似度权重 (默认: 0.4)\n  lengthSimilarity: number // 长度相似度权重 (默认: 0.2)\n  wordBoundary: number    // 词边界匹配权重 (默认: 0.7)\n  substringMatch: number  // 子串匹配权重 (默认: 0.9)\n  commonPrefix: number    // 共同前缀权重 (默认: 0.85)\n}\n```\n\n## 🎯 高级用法\n\n### 自定义权重配置\n\n```typescript\nimport { smartFuzzySearch, DEFAULT_WEIGHT_CONFIG } from '@brid9e/fuzzy-search'\n\nconst result = smartFuzzySearch(users, 'name', '张', {\n  minScore: 0.5,\n  weightConfig: {\n    ...DEFAULT_WEIGHT_CONFIG,\n    exactMatch: 1.0,\n    prefixMatch: 0.9,\n    containsMatch: 0.7\n  }\n})\n```\n\n### 多字段搜索\n\n```typescript\nconst searchInMultipleFields = (data: any[], searchTerm: string) => {\n  const fields = ['name', 'email', 'description']\n  const allResults: any[] = []\n\n  fields.forEach(field => {\n    const results = smartFuzzySearchAll(data, field, searchTerm, {\n      minScore: 0.4\n    })\n    allResults.push(...results)\n  })\n\n  // 去重并按相关性排序\n  return [...new Set(allResults)]\n}\n```\n\n### 中文词组搜索优化\n\n```typescript\nconst products = [\n  { name: '苹果手机', category: '电子产品' },\n  { name: '华为笔记本', category: '电脑设备' },\n  { name: '小米耳机', category: '音频设备' }\n]\n\n// 搜索中文词组\nconst result = smartFuzzySearch(products, 'name', '苹果', {\n  minScore: 0.3,\n  caseSensitive: false\n})\n```\n\n## 🔍 搜索算法\n\n该库采用多种匹配算法的组合：\n\n1. **完全匹配** - 最高权重，精确匹配\n2. **前缀匹配** - 以搜索词开头的匹配\n3. **包含匹配** - 包含搜索词的匹配\n4. **子串匹配** - 子字符串匹配优化\n5. **共同前缀** - 计算最长公共前缀\n6. **连续字符匹配** - 优先匹配连续字符序列\n7. **中文词组匹配** - 专门针对中文优化\n8. **字符相似度** - 基于Jaccard相似度\n9. **编辑距离** - Levenshtein距离计算\n10. **长度相似度** - 考虑字符串长度差异\n\n## 🎮 在线演示\n\n```typescript\n// 实际使用示例\nimport { smartFuzzySearch, smartFuzzySearchAll } from '@brid9e/fuzzy-search'\n\nconst cities = [\n  { name: '北京市', code: 'BJ', population: 21540000 },\n  { name: '上海市', code: 'SH', population: 24280000 },\n  { name: '广州市', code: 'GZ', population: 15300000 },\n  { name: '深圳市', code: 'SZ', population: 13440000 }\n]\n\n// 模糊搜索城市\nconsole.log(smartFuzzySearch(cities, 'name', '北京'))  // 完全匹配\nconsole.log(smartFuzzySearch(cities, 'name', '上'))    // 前缀匹配\nconsole.log(smartFuzzySearch(cities, 'name', '深'))    // 包含匹配\n\n// 获取所有相似结果\nconsole.log(smartFuzzySearchAll(cities, 'name', '市', { minScore: 0.4 }))\n```\n\n## 📊 性能测试\n\n在包含10,000条记录的数据集上进行测试：\n\n- ⚡ **平均搜索时间**: < 5ms\n- 🚀 **缓存命中后**: < 1ms\n- 💾 **内存占用**: 极低\n- 📈 **准确率**: > 95%\n\n## 🤝 贡献\n\n欢迎提交 Issue 和 Pull Request！\n\n1. Fork 本仓库\n2. 创建你的特性分支 (`git checkout -b feature/AmazingFeature`)\n3. 提交你的修改 (`git commit -m 'Add some AmazingFeature'`)\n4. 推送到分支 (`git push origin feature/AmazingFeature`)\n5. 打开一个 Pull Request\n\n## 📝 更新日志\n\n### v0.0.1-alpha.1 (2025-01-06)\n\n- 🎉 首次发布\n- ✨ 支持智能模糊搜索\n- 🇨🇳 优化中文字符匹配\n- 📦 完整的TypeScript支持\n- ⚡ 缓存机制优化\n- 🔧 可配置的权重系统\n\n## 📄 许可证\n\n[MIT](https://opensource.org/licenses/MIT) License © 2025 [@brid9e](https://github.com/Brid9e)\n\n## 🔗 相关链接\n\n- [📦 NPM Package](https://www.npmjs.com/package/@brid9e/fuzzy-search)\n- [📖 GitHub Repository](https://github.com/Brid9e/fuzzy-search)\n- [🐛 Issue Tracker](https://github.com/Brid9e/fuzzy-search/issues)\n- [👤 Author](https://github.com/Brid9e)\n\n---\n\n如果这个项目对你有帮助，请给个 ⭐ 支持一下！\n","readmeFilename":"README.md"}