forked from MapComplete/MapComplete
76 lines
2.7 KiB
TypeScript
76 lines
2.7 KiB
TypeScript
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import Locale from "../../UI/i18n/Locale"
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import { Utils } from "../../Utils"
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import ThemeSearch from "./ThemeSearch"
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export default class SearchUtils {
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/** Applies special search terms, such as 'studio', 'osmcha', ...
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* Returns 'false' if nothing is matched.
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* Doesn't return control flow if a match is found (navigates to another page in this case)
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*/
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public static applySpecialSearch(searchTerm: string, ) {
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searchTerm = searchTerm.toLowerCase()
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if (!searchTerm) {
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return false
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}
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if (searchTerm === "personal") {
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window.location.href = ThemeSearch.createUrlFor({ id: "personal" }, undefined)
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}
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if (searchTerm === "bugs" || searchTerm === "issues") {
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window.location.href = "https://github.com/pietervdvn/MapComplete/issues"
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}
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if (searchTerm === "source") {
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window.location.href = "https://github.com/pietervdvn/MapComplete"
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}
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if (searchTerm === "docs") {
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window.location.href = "https://github.com/pietervdvn/MapComplete/tree/develop/Docs"
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}
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if (searchTerm === "osmcha" || searchTerm === "stats") {
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window.location.href = Utils.OsmChaLinkFor(7)
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}
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if (searchTerm === "studio") {
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window.location.href = "./studio.html"
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}
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return false
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}
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/**
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* Searches for the smallest distance in words; will split both the query and the terms
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*
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* SearchUtils.scoreKeywords("drinking water", {"en": ["A layer with drinking water points"]}, "en") // => 0
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* SearchUtils.scoreKeywords("waste", {"en": ["A layer with drinking water points"]}, "en") // => 2
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*
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*/
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public static scoreKeywords(query: string, keywords: Record<string, string[]> | string[], language?: string): number {
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if(!keywords){
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return Infinity
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}
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language ??= Locale.language.data
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const queryParts = query.trim().split(" ").map(q => Utils.simplifyStringForSearch(q))
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let terms: string[]
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if (Array.isArray(keywords)) {
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terms = keywords
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} else {
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terms = (keywords[language] ?? []).concat(keywords["*"])
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}
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const termsAll = Utils.NoNullInplace(terms).flatMap(t => t.split(" "))
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let distanceSummed = 0
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for (let i = 0; i < queryParts.length; i++) {
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const q = queryParts[i]
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let minDistance: number = 99
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for (const term of termsAll) {
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const d = Utils.levenshteinDistance(q, Utils.simplifyStringForSearch(term))
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if (d < minDistance) {
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minDistance = d
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}
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}
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distanceSummed += minDistance
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}
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return distanceSummed
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}
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}
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