JS实现文本比较差异的示例代码
内部系统上线了一个发版记录发版内容的功能。维护发版记录的同事提出一个可以展示前后文本差异的优化需求。 使的每次变更前可以确认新增了哪些,或者删除了哪些内容。项目使用react。
另外,互联网面试前刷八股+leetCode已经是约定俗成的事情的,但一直觉得刷算法题只是为了应付面试。但是这个任务意识到之所以用不到,是因为习惯了三方库,没有三方库,这些算法很有用。
预期结果
引入第三方插件jsdiff
基本用法:
npm install diff --save
根据官方demo,常见的用法有三种:
分别对应提供的方法如下:
Diff.diffChars(oldStr, newStr[, options])
Diff.diffWords(oldStr, newStr[, options])
Diff.diffWordsWithSpace(oldStr, newStr[, options])
Diff.diffLines(oldStr, newStr[, options])
以diffChars为例,项目中按需引入如下:
import { diffChars } from "diff";
在项目中将其提取成一个组件:
// ..... const { oldStr, newStr } = props; useEffect(() => { const diff = diffChars(oldStr, newStr); console.log(diff, newStr); let span = null; const fragment = document.createDocumentFragment(); const display = document.getElementById('content'); diff.forEach((part) => { const color = part.added ? 'green' : part.removed ? 'red' : 'grey'; span = document.createElement('span'); span.style.color = color; if (color == "red") { span.style.textDecoration = "line-through"; } if (color == "green") { span.style.background = "#48ff00"; } span.appendChild(document .createTextNode(part.value)); fragment.appendChild(span); }); display.appendChild(fragment); }, [oldStr, newStr]); //.....
对于接受展示内容的外层容器来说,需要注意: 对于换行符号 \n
需要使用<pre>
标签包裹才能保持文本的展示格式。如下
return <> <pre><div id="content"></div></pre> </>;
关于jsdiff算法
An O(ND) Difference Algorithm and Its Variations
Eugene W. Myers • Algorithmica • Published 1986
The problems of finding a longest common subsequence of two sequences A and B and a shortest edit script for transforming A into B have long been known to be dual problems. In this paper, they are shown to be equivalent to finding a shortest/longest path in an edit graph. Using this perspective, a simple O(ND) time and space algorithm is developed where N is the sum of the lengths of A and B and D is the size of the minimum edit script for A and B. The algorithm performs well when differences are small (sequences are similar) and is consequently fast in typical applications. The algorithm is shown to have O(N +D expected-time performance under a basic stochastic model. A refinement of the algorithm requires only O(N) space, and the use of suffix trees leads to an O(NlgN +D ) time variation.
从上面的描述可知,这个算法的空间复杂度是O(N)
,时间复杂度是O(nLgN)
刷题常见的[求两个字符串中最大子串及最大子序列]
以及[最短编辑距离问题]
从这个库可知,这些算法很有用。
以上就是JS实现文本比较差异的示例代码的详细内容,更多关于JS文本比较的资料请关注脚本之家其它相关文章!
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