forked from MapComplete/MapComplete
157 lines
5.4 KiB
TypeScript
157 lines
5.4 KiB
TypeScript
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import * as nsi from "../../../node_modules/name-suggestion-index/dist/nsi.json"
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import * as nsiFeatures from "../../../node_modules/name-suggestion-index/dist/featureCollection.json"
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import { LocationConflation } from "@rapideditor/location-conflation"
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import type { Feature, FeatureCollection, MultiPolygon } from "geojson"
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import * as turf from "@turf/turf"
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import { Utils } from "../../Utils"
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import TagInfo from "./TagInfo"
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import type { Feature, MultiPolygon } from "geojson"
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import * as turf from "@turf/turf"
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/**
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* Main name suggestion index file
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*/
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interface NSIFile {
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_meta: {
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version: string
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generated: string
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url: string
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hash: string
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}
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nsi: {
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[path: string]: NSIEntry
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}
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}
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/**
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* A collection of brands/operators/flagpoles/... with common properties
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* See https://github.com/osmlab/name-suggestion-index/wiki/Category-Files for an introduction and
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* https://github.com/osmlab/name-suggestion-index/blob/main/schema/categories.json for a full breakdown
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*/
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interface NSIEntry {
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properties: {
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path: string
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skipCollection?: boolean
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preserveTags?: string[]
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exclude: unknown
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}
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items: NSIItem[]
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}
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/**
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* Represents a single brand/operator/flagpole/...
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*/
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export interface NSIItem {
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displayName: string
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id: string
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locationSet: {
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include: string[],
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exclude: string[]
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}
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tags: {
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[key: string]: string
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}
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fromTemplate?: boolean
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}
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export default class NameSuggestionIndex {
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private static readonly nsiFile: Readonly<NSIFile> = <any>nsi
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private static loco = new LocationConflation(nsiFeatures) // Some additional boundaries
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private static _supportedTypes: string[]
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public static supportedTypes(): string[] {
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if (this._supportedTypes) {
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return this._supportedTypes
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}
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const keys = Object.keys(NameSuggestionIndex.nsiFile.nsi)
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const all = keys.map(k => NameSuggestionIndex.nsiFile.nsi[k].properties.path.split("/")[0])
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this._supportedTypes = Utils.Dedup(all)
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return this._supportedTypes
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}
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public static async buildTaginfoCountsPerCountry(type = "brand", key: string, value: string) {
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const allData: { nsi: NSIItem, stats }[] = []
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const brands = NameSuggestionIndex.getSuggestionsFor(type, key, value)
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for (const brand of brands) {
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const brandValue = brand.tags[type]
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const allStats = await TagInfo.getGlobalDistributionsFor(type, brandValue)
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allData.push({ nsi: brand, stats: allStats })
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}
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return allData
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}
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public static supportedTags(type: "operator" | "brand" | "flag" | "transit" | string): Record<string, string[]> {
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const tags: Record<string, string []> = {}
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const keys = Object.keys(NameSuggestionIndex.nsiFile.nsi)
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for (const key of keys) {
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const nsiItem = NameSuggestionIndex.nsiFile.nsi[key]
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const path = nsiItem.properties.path
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const [osmType, osmkey, osmvalue] = path.split("/")
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if (type !== osmType && (type + "s" !== osmType)) {
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continue
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}
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if (!tags[osmkey]) {
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tags[osmkey] = []
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}
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tags[osmkey].push(osmvalue)
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}
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return tags
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}
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public static allPossible(type: "brand" | "operator"): string[] {
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const options: string[] = []
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const tags = NameSuggestionIndex.supportedTags(type)
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for (const osmKey in tags) {
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const values = tags[osmKey]
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for (const osmValue of values) {
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const suggestions = this.getSuggestionsFor(type, osmKey, osmValue)
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for (const suggestion of suggestions) {
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const value = suggestion.tags[type]
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options.push(value)
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}
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}
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}
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return Utils.Dedup(options)
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}
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/**
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*
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* @param path
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* @param country
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* @param location: center point of the feature, should be [lon, lat]
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*/
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public static getSuggestionsFor(type: string, key: string, value: string, country: string = undefined, location: [number, number] = undefined): NSIItem[] {
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const path = `${type}s/${key}/${value}`
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const entry = NameSuggestionIndex.nsiFile.nsi[path]
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return entry?.items?.filter(i => {
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if (i.locationSet.include.indexOf("001") >= 0) {
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return true
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}
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if (country === undefined ||
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// We prefer the countries provided by lonlat2country, they are more precise
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// Country might contain multiple countries, separated by ';'
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i.locationSet.include.some(c => country.indexOf(c) >= 0)) {
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return true
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}
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if (location === undefined) {
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return true
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}
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const resolvedSet = NameSuggestionIndex.loco.resolveLocationSet(i.locationSet)
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if (resolvedSet) {
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// We actually have a location set, so we can check if the feature is in it, by determining if our point is inside the MultiPolygon using @turf/boolean-point-in-polygon
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// This might occur for some extra boundaries, such as counties, ...
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const setFeature: Feature<MultiPolygon> = resolvedSet.feature
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return turf.booleanPointInPolygon(location, setFeature.geometry)
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}
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return false
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})
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}
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}
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