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https://github.com/KubaPro010/fm-dx-webserver.git
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306 lines
11 KiB
JavaScript
306 lines
11 KiB
JavaScript
const fetch = require('node-fetch');
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const { serverConfig } = require('./server_config');
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const consoleCmd = require('./console');
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let localDb = {};
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let lastFetchTime = 0;
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const fetchInterval = 1000;
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const esSwitchCache = {"lastCheck": null, "esSwitch": false};
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const esFetchInterval = 300000;
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var currentPiCode = '';
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var currentRdsPs = '';
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const usStatesGeoJsonUrl = "https://raw.githubusercontent.com/PublicaMundi/MappingAPI/master/data/geojson/us-states.json";
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let usStatesGeoJson = null; // To cache the GeoJSON data for US states
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// Get weighting values based on algorithm setting.
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// Defaults = algorithm 1
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let weightedErp = 10;
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let weightedDist = 400;
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const algorithms = [
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[10, 400],
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[30, 500],
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[5, 400]
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];
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const algoSetting = parseInt(serverConfig.webserver.txIdAlgorithm);
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if (typeof algorithms[algoSetting] !== 'undefined') {
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weightedErp = algorithms[algoSetting][0];
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weightedDist = algorithms[algoSetting][1];
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}
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// IIFE to build the local TX DB cache from the endpoint.
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(async () => {
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try {
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consoleCmd.logInfo('Fetching transmitter database...');
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const response = await fetch(`https://maps.fmdx.org/api?qth=${serverConfig.identification.lat},${serverConfig.identification.lon}`);
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if (!response.ok) throw new Error(`HTTP error! Status: ${response.status}`);
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localDb = await response.json();
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consoleCmd.logInfo('Transmitter database successfully loaded.');
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} catch (error) {
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consoleCmd.logError("Failed to fetch transmitter database:", error);
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}
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})();
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// Load the US states GeoJSON data
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async function loadUsStatesGeoJson() {
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if (!usStatesGeoJson) {
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try {
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const response = await fetch(usStatesGeoJsonUrl);
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if (!response.ok) throw new Error(`HTTP error! Status: ${response.status}`);
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usStatesGeoJson = await response.json();
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} catch (error) {
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console.error("Failed to load US States GeoJSON:", error);
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usStatesGeoJson = null; // Ensure it's null so it can retry later
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}
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}
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}
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// Function to get bounding box of a state
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function getStateBoundingBox(coordinates) {
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let minLat = Infinity, maxLat = -Infinity, minLon = Infinity, maxLon = -Infinity;
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// Check if it's a MultiPolygon or a Polygon
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for (const polygon of coordinates) {
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// If it's a Polygon, it won't have an extra level of arrays
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const linearRings = Array.isArray(polygon[0][0]) ? polygon : [polygon];
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for (const ring of linearRings) {
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for (const [lon, lat] of ring) {
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if (lat < minLat) minLat = lat;
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if (lat > maxLat) maxLat = lat;
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if (lon < minLon) minLon = lon;
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if (lon > maxLon) maxLon = lon;
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}
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}
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}
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return { minLat, maxLat, minLon, maxLon };
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}
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// Function to check if a city (lat, lon) falls within the bounding box of a state
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function isCityInState(lat, lon, boundingBox) {
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return lat >= boundingBox.minLat && lat <= boundingBox.maxLat &&
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lon >= boundingBox.minLon && lon <= boundingBox.maxLon;
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}
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// Function to check if a city (lat, lon) is inside any US state and return the state name
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function getStateForCoordinates(lat, lon) {
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if (!usStatesGeoJson) return null;
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for (const feature of usStatesGeoJson.features) {
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const boundingBox = getStateBoundingBox(feature.geometry.coordinates);
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if (isCityInState(lat, lon, boundingBox)) {
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return feature.properties.name; // Return the state's name if city is inside bounding box
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}
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}
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return null;
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}
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/**
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* Compares the standardized rdsPs string with the station's PS value.
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* The rdsPs string is standardized by replacing spaces with underscores and converting to lowercase.
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* The station's PS value is split into tokens (e.g., "__mdr___ _kultur_" -> ["__mdr___", "_kultur_"]).
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* The function iterates through all tokens and checks if any token yields at least three valid (non "_" ) matches.
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* Only positions where rdsPs is not an underscore are compared.
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* If at least three valid matches are found for any token, the function returns true.
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*/
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function validPsCompare(rdsPs, stationPs) {
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// Standardize the rdsPs string: replace spaces with underscores and convert to lowercase.
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const standardizedRdsPs = rdsPs.replace(/ /g, '_').toLowerCase();
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// Split stationPs into tokens (e.g., "__mdr___ _kultur_" -> ["__mdr___", "_kultur_"])
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const psTokens = stationPs.split(/\s+/).filter(token => token.length > 0).map(token => token.toLowerCase());
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// Iterate through all tokens and check if any token yields at least three valid (non "_" ) matches.
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for (let token of psTokens) {
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// If the token's length does not match the standardized rdsPs length, skip this token.
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if (token.length !== standardizedRdsPs.length) continue;
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let matchCount = 0;
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for (let i = 0; i < standardizedRdsPs.length; i++) {
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// Skip this position if the character in standardizedRdsPs is an underscore.
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if (standardizedRdsPs[i] === '_') continue;
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if (token[i] === standardizedRdsPs[i]) {
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matchCount++;
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}
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}
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if (matchCount >= 3) {
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return true;
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}
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}
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return false;
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}
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function evaluateStation(station) {
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let esMode = checkEs();
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let weightDistance = station.distanceKm;
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if (esMode && station.distanceKm > 500) {
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weightDistance = Math.abs(station.distanceKm - 1500) + 200;
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}
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let erp = station.erp && station.erp > 0 ? station.erp : 1;
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let extraWeight = erp > 30 && station.distanceKm <= 500 ? 0.3 : 0;
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let score = 0;
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// If ERP is 1W, use a simpler formula to avoid zero-scoring.
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if (erp === 0.001) {
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score = erp / station.distanceKm;
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} else {
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score = ((10 * (Math.log10(erp * 1000))) / weightDistance) + extraWeight;
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}
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return score;
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}
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// Fetch data from maps
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async function fetchTx(freq, piCode, rdsPs) {
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let match = null;
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let multiMatches = [];
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const now = Date.now();
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freq = parseFloat(freq);
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if (isNaN(freq)) return;
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if (now - lastFetchTime < fetchInterval
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|| serverConfig.identification.lat.length < 2
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|| freq < 87
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|| Object.keys(localDb).length === 0
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|| (currentPiCode === piCode && currentRdsPs === rdsPs)) {
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return Promise.resolve();
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}
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lastFetchTime = now;
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currentPiCode = piCode;
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currentRdsPs = rdsPs;
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if (serverConfig.webserver.rdsMode === true) await loadUsStatesGeoJson();
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let filteredLocations = Object.values(localDb.locations || {})
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.map(locData => ({
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...locData,
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stations: locData.stations.filter(station =>
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station.freq === freq &&
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(station.pi === piCode.toUpperCase() || station.pireg === piCode.toUpperCase() )
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)
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}))
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.filter(locData => locData.stations.length > 0); // Ensure locations with at least one matching station remain
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// Only check PS if we have more than one match.
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if (filteredLocations.length > 1) {
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filteredLocations = filteredLocations.map(locData => ({
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...locData,
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stations: locData.stations.filter(station => validPsCompare(rdsPs, station.ps))
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})).filter(locData => locData.stations.length > 0);
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}
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for (let loc of filteredLocations) {
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loc = Object.assign(loc, loc.stations[0]);
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delete loc.stations;
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const dist = haversine(serverConfig.identification.lat, serverConfig.identification.lon, loc.lat, loc.lon);
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loc = Object.assign(loc, dist);
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loc.detectedByPireg = (loc.pireg === piCode.toUpperCase());
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}
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if (filteredLocations.length > 1) {
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for (let loc of filteredLocations) {
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loc.score = evaluateStation(loc);
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}
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// Sort by score in descending order
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filteredLocations.sort((a, b) => b.score - a.score);
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match = filteredLocations[0];
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// Have a maximum of 10 extra matches and remove any with less than 1/10 of the winning score
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multiMatches = filteredLocations
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.slice(1, 11)
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.filter(obj => obj.score >= (match.score/10));
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} else if (filteredLocations.length === 1) {
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match = filteredLocations[0];
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match.score = 1;
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}
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if (match) {
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if (match.itu === 'USA') {
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const state = getStateForCoordinates(match.lat, match.lon);
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if (state) {
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match.state = state; // Add state to matchingCity
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}
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}
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const result = {
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station: match.detectedByPireg
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? `${match.station.replace("R.", "Radio ")}${match.regname ? ' ' + match.regname : ''}`
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: match.station.replace("R.", "Radio "),
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pol: match.pol.toUpperCase(),
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erp: match.erp && match.erp > 0 ? match.erp : '?',
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city: match.name,
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itu: match.state ? match.state + ', ' + match.itu : match.itu,
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distance: match.distanceKm.toFixed(0),
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azimuth: match.azimuth.toFixed(0),
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id: match.id,
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pi: match.pi,
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foundStation: true,
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reg: match.detectedByPireg,
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score: match.score,
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others: multiMatches.slice(),
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};
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filteredLocations.length = 0;
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multiMatches.length = 0;
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return result;
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} else {
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filteredLocations.length = 0;
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multiMatches.length = 0;
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return Promise.resolve();
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}
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}
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function checkEs() {
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const now = Date.now();
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const url = "https://fmdx.org/includes/tools/get_muf.php";
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if (esSwitchCache.lastCheck && now - esSwitchCache.lastCheck < esFetchInterval) {
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return esSwitchCache.esSwitch;
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}
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if (serverConfig.identification.lat > 20) {
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esSwitchCache.lastCheck = now;
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fetch(url)
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.then(response => {
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if (!response.ok) throw new Error(`HTTP error! Status: ${response.status}`);
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return response.json();
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})
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.then(data => {
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if ((serverConfig.identification.lon < -32 && data.north_america.max_frequency !== "No data") ||
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(serverConfig.identification.lon >= -32 && data.europe.max_frequency !== "No data")) {
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esSwitchCache.esSwitch = true;
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}
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})
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.catch(error => {
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console.error("Error fetching Es data:", error);
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});
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}
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return esSwitchCache.esSwitch;
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}
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function haversine(lat1, lon1, lat2, lon2) {
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const R = 6371;
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const dLat = deg2rad(lat2 - lat1);
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const dLon = deg2rad(lon2 - lon1);
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const a =
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Math.sin(dLat / 2) * Math.sin(dLat / 2) +
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Math.cos(deg2rad(lat1)) * Math.cos(deg2rad(lat2)) * Math.sin(dLon / 2) * Math.sin(dLon / 2);
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const c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
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const distance = R * c;
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const y = Math.sin(dLon) * Math.cos(deg2rad(lat2));
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const x = Math.cos(deg2rad(lat1)) * Math.sin(deg2rad(lat2)) -
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Math.sin(deg2rad(lat1)) * Math.cos(deg2rad(lat2)) * Math.cos(dLon);
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const azimuth = Math.atan2(y, x);
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const azimuthDegrees = (azimuth * 180 / Math.PI + 360) % 360;
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return {
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distanceKm: distance,
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azimuth: azimuthDegrees
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};
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}
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function deg2rad(deg) {
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return deg * (Math.PI / 180);
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}
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module.exports = {
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fetchTx
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}; |