主题
useFuse
使用 Fuse.js 的可组合项轻松实现模糊搜索。
¥Easily implement fuzzy search using a composable with Fuse.js.
来自 Fuse.js 网站:
¥From the Fuse.js website:
什么是模糊搜索?
¥What is fuzzy searching?
一般来说,模糊搜索(更正式地称为近似字符串匹配)是查找近似等于给定模式(而不是精确等于)的字符串的技术。
¥Generally speaking, fuzzy searching (more formally known as approximate string matching) is the technique of finding strings that are approximately equal to a given pattern (rather than exactly).
示例
Roslyn Mitchell Score Index: 0
Cathleen Matthews Score Index: 1
Carleton Harrelson Score Index: 2
Allen Moores Score Index: 3
John Washington Score Index: 4
Brooke Colton Score Index: 5
Mary Rennold Score Index: 6
Nanny Field Score Index: 7
Chasity Michael Score Index: 8
Oakley Giles Score Index: 9
Johanna Shepherd Score Index: 10
Maybelle Wilkie Score Index: 11
Dawson Rowntree Score Index: 12
Manley Pond Score Index: 13
Lula Sawyer Score Index: 14
Hudson Hext Score Index: 15
Alden Senior Score Index: 16
Tory Hyland Score Index: 17
Constance Josephs Score Index: 18
Larry Kinsley Score Index: 19
安装 Fuse.js 作为对等依赖
¥Install Fuse.js as a peer dependency
NPM
bash
npm install fuse.js@^7
Yarn
bash
yarn add fuse.js
用法
¥Usage
ts
import { useFuse } from '@vueuse/integrations/useFuse'
import { shallowRef } from 'vue'
const data = [
'John Smith',
'John Doe',
'Jane Doe',
'Phillip Green',
'Peter Brown',
]
const input = shallowRef('Jhon D')
const { results } = useFuse(input, data)
/*
* Results:
* * { "item": "John Doe", "index": 1 }
* { "item": "John Smith", "index": 0 }
* { "item": "Jane Doe", "index": 2 }
* */