计算字符串重叠/匹配度计算
目前為
此腳本不應該直接安裝，它是一個供其他腳本使用的函式庫。欲使用本函式庫，請在腳本 metadata 寫上： // @require https://update.cn-greasyfork.org/scripts/501646/1429884/string-overlap-matching-degree.js
/**
* 重叠匹配度
* @author: zhuangjie
* @date: 2024-07-23
*/
function overlapMatchingDegreeForObjectArray(keyword = "", objArr = [], fun = (obj) => [], {sort = "desc", onlyHasScope = false, scopeForObjArrContainer} = {}) {
const scopeForData = objArr.map(item => overlapMatchingDegree(keyword, fun(item), sort));
// scope与 objArr 同步排序
sortAndSync(scopeForData, objArr, sort);
if (Array.isArray(scopeForObjArrContainer)) {
scopeForObjArrContainer.push(...scopeForData);
}
return onlyHasScope ? objArr.filter((_, index) => scopeForData[index] !== 0) : objArr;
}
/**
* 计算匹配度外层封装工具
* @param {string} keyword - 匹配字符串1
* @param {Object | Arrayy} topicWeighs - 匹配字符串2与它的权重
* @returns {number} 匹配度分数
*/
function overlapMatchingDegree(keyword, topicWeighs = {}, sort = "desc") {
if (Array.isArray(topicWeighs)) {
const weightMultiplier = sort === "asc" ? 1 : -1;
topicWeighs = Object.fromEntries(topicWeighs.map((topic, index) => [topic, (index + 1) * weightMultiplier]));
}
return Object.keys(topicWeighs).reduce((totalScore, topic) => {
const currentScore = topicWeighs[topic];
const overlapLengthBlocksMap = findOverlapBlocks(keyword, topic);
return totalScore + Object.entries(overlapLengthBlocksMap).reduce((sum, [length, blocks]) => {
return sum + blocks.length * Math.pow(currentScore, Number(length));
}, 0);
}, 0);
}
/**
* 查找重叠匹配块（入口函数）
* @param {*} str1
* @param {*} str2
* @returns 返回重叠块 如：{"2": ["好用","推荐"],"3": ["好用推荐"]}
* 算法核心思想：
* -----------------------------------------------------
* sumatrapdf* | sumatrapdf* | sumatrapdf*
* pdf- | pdf- | pdf-
* ------------------------------------------------------
*/
function findOverlapBlocks(str1 = "", str2 = "") {
const alignmentHub = {};
const str1Len = str1.length;
const str2Len = str2.length;
const minLen = Math.min(str1Len, str2Len);
for (let offset = 1 - str2Len; offset < str1Len; offset++) {
const start = Math.max(0, offset);
const end = Math.min(str1Len, str2Len + offset);
const overlapStr1 = str1.slice(start, end);
const overlapStr2 = str2.slice(start - offset, end - offset);
const alignmentContent = alignment(overlapStr1, overlapStr2);
for (const [len, blocks] of Object.entries(alignmentContent)) {
alignmentHub[len] = alignmentHub[len] ? [...new Set([...alignmentHub[len], ...blocks])] : blocks;
}
}
return alignmentHub;
}
// 对齐
function alignment(str1 = "", str2 = "") {
const overlappingBlocks = {};
let currentBlock = "";
for (let i = str1.length - 1; i >= 0; i--) {
if (str1[i] === str2[i]) {
currentBlock = str1[i] + currentBlock;
} else if (currentBlock.length > 0) {
const len = currentBlock.length;
overlappingBlocks[len] = overlappingBlocks[len] || [];
if (!overlappingBlocks[len].includes(currentBlock)) {
overlappingBlocks[len].push(currentBlock);
}
currentBlock = "";
}
}
if (currentBlock.length > 0) {
const len = currentBlock.length;
overlappingBlocks[len] = overlappingBlocks[len] || [];
if (!overlappingBlocks[len].includes(currentBlock)) {
overlappingBlocks[len].push(currentBlock);
}
}
return overlappingBlocks;
}
// 【同步排序算法】
function sortAndSync(arr1, arr2, order = 'desc') {
const compare = order === 'asc' ? (a, b) => a - b : (a, b) => b - a;
arr1.map((v, i) => [v, arr2[i]])
.sort((a, b) => compare(a[0], b[0]))
.forEach(([v, o], i) => {
arr1[i] = v;
arr2[i] = o;
});
}
// 【算法测试1】
// console.log("-- 算法测试开始 --")
// console.log(findOverlapBlocks("[推荐]sumatrapdf非常好用","pdf 推荐"))
// console.log("-- 算法测试结束 --")
// 【算法测试2】
// console.log("匹配度：", overlapMatchingDegree("好用的pdf工具", { "sumatrapdf": 10, "小而好用的pdf阅读器": 8, "https://www.sumatrapdfreader.org/downloadafter": 3 }));