434 lines
18 KiB
TypeScript
434 lines
18 KiB
TypeScript
import {GeoOperations} from "./GeoOperations";
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import Combine from "../UI/Base/Combine";
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import RelationsTracker from "./Osm/RelationsTracker";
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import BaseUIElement from "../UI/BaseUIElement";
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import List from "../UI/Base/List";
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import Title from "../UI/Base/Title";
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import {BBox} from "./BBox";
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export interface ExtraFuncParams {
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/**
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* Gets all the features from the given layer within the given BBOX.
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* Note that more features then requested can be given back.
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* Format: [ [ geojson, geojson, geojson, ... ], [geojson, ...], ...]
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*/
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getFeaturesWithin: (layerId: string, bbox: BBox) => any[][],
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memberships: RelationsTracker
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getFeatureById: (id: string) => any
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}
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/**
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* Describes a function that is added to a geojson object in order to calculate calculated tags
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*/
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interface ExtraFunction {
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readonly _name: string;
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readonly _args: string[];
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readonly _doc: string;
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readonly _f: (params: ExtraFuncParams, feat: any) => any;
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}
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class OverlapFunc implements ExtraFunction {
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_name = "overlapWith";
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_doc = "Gives a list of features from the specified layer which this feature (partly) overlaps with. A point which is embedded in the feature is detected as well." +
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"If the current feature is a point, all features that this point is embeded in are given.\n\n" +
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"The returned value is `{ feat: GeoJSONFeature, overlap: number}[]` where `overlap` is the overlapping surface are (in m²) for areas, the overlapping length (in meter) if the current feature is a line or `undefined` if the current feature is a point.\n" +
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"The resulting list is sorted in descending order by overlap. The feature with the most overlap will thus be the first in the list\n" +
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"\n" +
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"For example to get all objects which overlap or embed from a layer, use `_contained_climbing_routes_properties=feat.overlapWith('climbing_route')`"
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_args = ["...layerIds - one or more layer ids of the layer from which every feature is checked for overlap)"]
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_f(params, feat) {
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return (...layerIds: string[]) => {
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const result: { feat: any, overlap: number }[] = []
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console.log("Calculating overlap")
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const bbox = BBox.get(feat)
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for (const layerId of layerIds) {
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const otherLayers = params.getFeaturesWithin(layerId, bbox)
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if (otherLayers === undefined) {
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continue;
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}
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if (otherLayers.length === 0) {
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continue;
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}
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for (const otherLayer of otherLayers) {
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result.push(...GeoOperations.calculateOverlap(feat, otherLayer));
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}
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}
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result.sort((a, b) => b.overlap - a.overlap)
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return result;
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}
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}
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}
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class IntersectionFunc implements ExtraFunction {
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_name = "intersectionsWith";
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_doc = "Gives the intersection points with selected features. Only works with (Multi)Polygons and LineStrings.\n\n" +
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"Returns a `{feat: GeoJson, intersections: [number,number][]}` where `feat` is the full, original feature. This list is in random order.\n\n" +
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"If the current feature is a point, this function will return an empty list.\n" +
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"Points from other layers are ignored - even if the points are parts of the current linestring."
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_args = ["...layerIds - one or more layer ids of the layer from which every feature is checked for intersection)"]
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_f(params: ExtraFuncParams, feat) {
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return (...layerIds: string[]) => {
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const result: { feat: any, intersections: [number, number][] }[] = []
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const bbox = BBox.get(feat)
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for (const layerId of layerIds) {
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const otherLayers = params.getFeaturesWithin(layerId, bbox)
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if (otherLayers === undefined) {
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continue;
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}
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if (otherLayers.length === 0) {
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continue;
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}
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for (const tile of otherLayers) {
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for (const otherFeature of tile) {
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const intersections = GeoOperations.LineIntersections(feat, otherFeature)
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if(intersections.length === 0){
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continue
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}
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result.push({feat: otherFeature, intersections})
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}
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}
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}
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return result;
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}
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}
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}
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class DistanceToFunc implements ExtraFunction {
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_name = "distanceTo";
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_doc = "Calculates the distance between the feature and a specified point in meter. The input should either be a pair of coordinates, a geojson feature or the ID of an object";
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_args = ["feature OR featureID OR longitude", "undefined OR latitude"]
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_f(featuresPerLayer, feature) {
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return (arg0, lat) => {
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if (arg0 === undefined) {
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return undefined;
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}
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if (typeof arg0 === "number") {
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// Feature._lon and ._lat is conveniently place by one of the other metatags
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return GeoOperations.distanceBetween([arg0, lat], GeoOperations.centerpointCoordinates(feature));
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}
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if (typeof arg0 === "string") {
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// This is an identifier
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const feature = featuresPerLayer.getFeatureById(arg0)
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if (feature === undefined) {
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return undefined;
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}
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arg0 = feature;
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}
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// arg0 is probably a geojsonfeature
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return GeoOperations.distanceBetween(GeoOperations.centerpointCoordinates(arg0), GeoOperations.centerpointCoordinates(feature))
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}
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}
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}
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class ClosestObjectFunc implements ExtraFunction {
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_name = "closest"
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_doc = "Given either a list of geojson features or a single layer name, gives the single object which is nearest to the feature. In the case of ways/polygons, only the centerpoint is considered. Returns a single geojson feature or undefined if nothing is found (or not yet laoded)"
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_args = ["list of features or a layer name or '*' to get all features"]
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_f(params, feature) {
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return (features) => ClosestNObjectFunc.GetClosestNFeatures(params, feature, features)?.[0]?.feat
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}
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}
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class ClosestNObjectFunc implements ExtraFunction {
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_f(params, feature) {
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return (features, amount, uniqueTag, maxDistanceInMeters) => {
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let distance: number = Number(maxDistanceInMeters)
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if (isNaN(distance)) {
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distance = undefined
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}
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return ClosestNObjectFunc.GetClosestNFeatures(params, feature, features, {
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maxFeatures: Number(amount),
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uniqueTag: uniqueTag,
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maxDistance: distance
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});
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}
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}
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_name = "closestn"
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_doc = "Given either a list of geojson features or a single layer name, gives the n closest objects which are nearest to the feature (excluding the feature itself). In the case of ways/polygons, only the centerpoint is considered. " +
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"Returns a list of `{feat: geojson, distance:number}` the empty list if nothing is found (or not yet loaded)\n\n" +
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"If a 'unique tag key' is given, the tag with this key will only appear once (e.g. if 'name' is given, all features will have a different name)"
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_args = ["list of features or layer name or '*' to get all features", "amount of features", "unique tag key (optional)", "maxDistanceInMeters (optional)"]
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/**
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* Gets the closes N features, sorted by ascending distance.
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*
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* @param params: The link to mapcomplete state
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* @param feature: The central feature under consideration
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* @param features: The other features
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* @param options: maxFeatures: The maximum amount of features to be returned. Default: 1; uniqueTag: returned features are not allowed to have the same value for this key; maxDistance: stop searching if it is too far away (in meter). Default: 500m
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* @constructor
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* @private
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*/
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static GetClosestNFeatures(params: ExtraFuncParams,
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feature: any,
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features: string | any[],
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options?: { maxFeatures?: number, uniqueTag?: string | undefined, maxDistance?: number }): { feat: any, distance: number }[] {
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const maxFeatures = options?.maxFeatures ?? 1
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const maxDistance = options?.maxDistance ?? 500
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const uniqueTag: string | undefined = options?.uniqueTag
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if (typeof features === "string") {
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const name = features
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const bbox = GeoOperations.bbox(GeoOperations.buffer(GeoOperations.bbox(feature), maxDistance))
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features = params.getFeaturesWithin(name, new BBox(bbox.geometry.coordinates))
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} else {
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features = [features]
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}
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if (features === undefined) {
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return;
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}
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const selfCenter = GeoOperations.centerpointCoordinates(feature)
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let closestFeatures: { feat: any, distance: number }[] = [];
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for (const featureList of features) {
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// Features is provided by 'getFeaturesWithin' which returns a list of lists of features, hence the double loop here
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for (const otherFeature of featureList) {
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if (otherFeature === feature || otherFeature.properties.id === feature.properties.id) {
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continue; // We ignore self
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}
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const distance = GeoOperations.distanceBetween(
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GeoOperations.centerpointCoordinates(otherFeature),
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selfCenter
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)
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if (distance === undefined || distance === null || isNaN(distance)) {
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console.error("Could not calculate the distance between", feature, "and", otherFeature)
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throw "Undefined distance!"
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}
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if (distance === 0) {
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console.trace("Got a suspiciously zero distance between", otherFeature, "and self-feature", feature)
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}
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if (distance > maxDistance) {
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continue
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}
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if (closestFeatures.length === 0) {
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// This is the first matching feature we find - always add it
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closestFeatures.push({
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feat: otherFeature,
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distance: distance
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})
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continue;
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}
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if (closestFeatures.length >= maxFeatures && closestFeatures[maxFeatures - 1].distance < distance) {
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// The last feature of the list (and thus the furthest away is still closer
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// No use for checking, as we already have plenty of features!
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continue
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}
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let targetIndex = closestFeatures.length
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for (let i = 0; i < closestFeatures.length; i++) {
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const closestFeature = closestFeatures[i];
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if (uniqueTag !== undefined) {
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const uniqueTagsMatch = otherFeature.properties[uniqueTag] !== undefined &&
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closestFeature.feat.properties[uniqueTag] === otherFeature.properties[uniqueTag]
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if (uniqueTagsMatch) {
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targetIndex = -1
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if (closestFeature.distance > distance) {
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// This is a very special situation:
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// We want to see the tag `uniquetag=some_value` only once in the entire list (e.g. to prevent road segements of identical names to fill up the list of 'names of nearby roads')
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// AT this point, we have found a closer segment with the same, identical tag
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// so we replace directly
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closestFeatures[i] = {feat: otherFeature, distance: distance}
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}
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break;
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}
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}
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if (closestFeature.distance > distance) {
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targetIndex = i
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if (uniqueTag !== undefined) {
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const uniqueValue = otherFeature.properties[uniqueTag]
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// We might still have some other values later one with the same uniquetag that have to be cleaned
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for (let j = i; j < closestFeatures.length; j++) {
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if (closestFeatures[j].feat.properties[uniqueTag] === uniqueValue) {
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closestFeatures.splice(j, 1)
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}
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}
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}
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break;
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}
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}
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if (targetIndex == -1) {
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continue; // value is already swapped by the unique tag
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}
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if (targetIndex < maxFeatures) {
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// insert and drop one
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closestFeatures.splice(targetIndex, 0, {
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feat: otherFeature,
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distance: distance
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})
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if (closestFeatures.length >= maxFeatures) {
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closestFeatures.splice(maxFeatures, 1)
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}
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} else {
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// Overwrite the last element
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closestFeatures[targetIndex] = {
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feat: otherFeature,
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distance: distance
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}
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}
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}
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}
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return closestFeatures;
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}
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}
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class Memberships implements ExtraFunction {
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_name = "memberships"
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_doc = "Gives a list of `{role: string, relation: Relation}`-objects, containing all the relations that this feature is part of. " +
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"\n\n" +
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"For example: `_part_of_walking_routes=feat.memberships().map(r => r.relation.tags.name).join(';')`"
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_args = []
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_f(params, feat) {
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return () =>
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params.memberships.knownRelations.data.get(feat.properties.id) ?? []
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}
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}
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class GetParsed implements ExtraFunction {
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_name = "get"
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_doc = "Gets the property of the feature, parses it (as JSON) and returns it. Might return 'undefined' if not defined, null, ..."
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_args = ["key"]
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_f(params, feat) {
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return key => {
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const value = feat.properties[key]
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if (value === undefined) {
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return undefined;
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}
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try {
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const parsed = JSON.parse(value)
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if (parsed === null) {
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return undefined;
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}
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return parsed;
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} catch (e) {
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console.warn("Could not parse property " + key + " due to: " + e + ", the value is " + value)
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return undefined;
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}
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}
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}
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}
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export class ExtraFunctions {
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static readonly intro = new Combine([
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new Title("Calculating tags with Javascript", 2),
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"In some cases, it is useful to have some tags calculated based on other properties. Some useful tags are available by default (e.g. `lat`, `lon`, `_country`), as detailed above.",
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"It is also possible to calculate your own tags - but this requires some javascript knowledge.",
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"",
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"Before proceeding, some warnings:",
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new List([
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"DO NOT DO THIS AS BEGINNER",
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"**Only do this if all other techniques fail** This should _not_ be done to create a rendering effect, only to calculate a specific value",
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"**THIS MIGHT BE DISABLED WITHOUT ANY NOTICE ON UNOFFICIAL THEMES** As unofficial themes might be loaded from the internet, this is the equivalent of injecting arbitrary code into the client. It'll be disabled if abuse occurs."
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]),
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"To enable this feature, add a field `calculatedTags` in the layer object, e.g.:",
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"````",
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"\"calculatedTags\": [",
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" \"_someKey=javascript-expression\",",
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" \"name=feat.properties.name ?? feat.properties.ref ?? feat.properties.operator\",",
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" \"_distanceCloserThen3Km=feat.distanceTo( some_lon, some_lat) < 3 ? 'yes' : 'no'\" ",
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" ]",
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"````",
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"",
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"The above code will be executed for every feature in the layer. The feature is accessible as `feat` and is an amended geojson object:",
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new List([
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"`area` contains the surface area (in square meters) of the object",
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"`lat` and `lon` contain the latitude and longitude"
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]),
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"Some advanced functions are available on **feat** as well:"
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]).SetClass("flex-col").AsMarkdown();
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private static readonly allFuncs: ExtraFunction[] = [
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new DistanceToFunc(),
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new OverlapFunc(),
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new IntersectionFunc(),
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new ClosestObjectFunc(),
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new ClosestNObjectFunc(),
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new Memberships(),
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new GetParsed()
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];
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public static FullPatchFeature(params: ExtraFuncParams, feature) {
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if(feature._is_patched){
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return
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}
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feature._is_patched = true
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for (const func of ExtraFunctions.allFuncs) {
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feature[func._name] = func._f(params, feature)
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}
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}
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public static HelpText(): BaseUIElement {
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const elems = []
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for (const func of ExtraFunctions.allFuncs) {
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console.log("Generating ", func.constructor.name)
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elems.push(new Title(func._name, 3),
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func._doc,
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new List(func._args ?? [], true))
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}
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return new Combine([
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ExtraFunctions.intro,
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new List(ExtraFunctions.allFuncs.map(func => `[${func._name}](#${func._name})`)),
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...elems
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]);
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}
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}
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