designbycode/fuzzy-search
Composer 安装命令:
composer require designbycode/fuzzy-search
包简介
The Fuzzy Search package provides a simple and efficient way to perform fuzzy searches on a collection of texts using the Levenshtein distance algorithm. This package is useful when you need to search for texts that may contain typos or slight variations.
README 文档
README
Introduction
The Fuzzy Search package provides a simple and efficient way to perform fuzzy searches on a collection of texts using the Levenshtein distance algorithm. This package is useful when you need to search for texts that may contain typos or slight variations.
Installation
To install the Fuzzy Search package, simply require it in your PHP project using Composer:
composer require designbycode/fuzzy-search
Usage
Creating a Fuzzy Search Instance
To create a Fuzzy Search instance, you need to pass an array of texts to search and an optional flag for case-insensitive search:
use Designbycode\FuzzySearch\FuzzySearch; $texts = ['apple', 'banana', 'orange', 'grape']; $fuzzySearch = new FuzzySearch($texts, true); // Case-insensitive search
Performing a Fuzzy Search
To perform a fuzzy search, call the search method and pass the search query and an optional maximum Levenshtein distance:
$query = 'aple'; $maxDistance = 2; $results = $fuzzySearch->search($query, $maxDistance); print_r($results); // Output: ['apple']
The search method returns an array of matching texts, sorted by their Levenshtein distance from the search query.
Getting the Best Match
To get the best match from the search results, call the getBestMatch method:
$bestMatch = $fuzzySearch->getBestMatch($results); echo $bestMatch; // Output: 'apple'
Levenshtein Distance Calculator
The Levenshtein Distance Calculator is a utility class that calculates the Levenshtein distance between two strings. This class is used internally by the Fuzzy Search package.
Calculating the Levenshtein Distance
To calculate the Levenshtein distance between two strings, call the calculate method:
use Designbycode\FuzzySearch\LevenshteinDistance; $str1 = 'kitten'; $str2 = 'sitting'; $distance = LevenshteinDistance::calculate($str1, $str2); echo $distance; // Output: 3
Examples
Example 1: Fuzzy Search with Case-Insensitive Search
$texts = ['Apple', 'Banana', 'Orange', 'Grape']; $fuzzySearch = new FuzzySearch($texts, true); $query = 'aple'; $maxDistance = 2; $results = $fuzzySearch->search($query, $maxDistance); print_r($results); // Output: ['Apple']
Example 2: Fuzzy Search with Case-Sensitive Search
$texts = ['apple', 'banana', 'orange', 'grape']; $fuzzySearch = new FuzzySearch($texts, false); $query = 'Aple'; $maxDistance = 2; $results = $fuzzySearch->search($query, $maxDistance); print_r($results); // Output: []
Testing
composer test
Changelog
Please see CHANGELOG for more information on what has changed recently.
Contributing
Please see CONTRIBUTING for details.
Security Vulnerabilities
Please review our security policy on how to report security vulnerabilities.
Credits
License
The MIT License (MIT). Please see License File for more information.
designbycode/fuzzy-search 适用场景与选型建议
designbycode/fuzzy-search 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 9 次下载、GitHub Stars 达 0, 最近一次更新时间为 2024 年 07 月 20 日, 在 PHP 生态内属于活跃度较高的组件。
它主要适用于以下技术方向: 「search」 「levenshtein」 「Fuzzy search」 「designbycode」 「levenshtein distance」 「fuzzy-search」 等业务场景。在实际项目中,围绕这些方向常见需要落地的问题包括:接口对接、性能调优、并发安全、与既有框架(Laravel / ThinkPHP / Yii / Webman 等)的兼容适配,以及生产环境的日志埋点与稳定性保障。
我们在过去多个企业项目中使用过 designbycode/fuzzy-search 或与其功能相近的方案,如果你在选型或落地过程中遇到问题,例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查,欢迎联系我们协助评估。
基于 designbycode/fuzzy-search 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。
线上偶发问题、内存泄漏、慢查询、并发异常等排查修复;针对高流量场景做缓存、队列、索引层面的调优。
承接完整的项目从需求 → 设计 → 开发 → 上线 → 长期运维;也可按月提供技术保姆服务。
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统计信息
- 总下载量: 9
- 月度下载量: 0
- 日度下载量: 0
- 收藏数: 0
- 点击次数: 21
- 依赖项目数: 0
- 推荐数: 0
其他信息
- 授权协议: MIT
- 更新时间: 2024-07-20