111 lines
2.8 KiB
JavaScript
111 lines
2.8 KiB
JavaScript
"use strict";
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import haversine from 'haversine-distance';
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import shuffle_fisher_yates from '../Helpers/FisherYates.mjs';
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import {
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normalise_lat,
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normalise_lng,
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normalise_rssi,
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normalise_gateway_distance,
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} from '../../common/Normalisers.mjs';
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class DatasetFetcher {
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constructor({ settings, log, GatewayRepo, RSSIRepo, ReadingRepo }) {
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this.settings = settings;
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this.l = log;
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this.repo_gateway = GatewayRepo;
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this.repo_rssi = RSSIRepo;
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this.repo_reading = ReadingRepo;
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}
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fetch_all(gateway_id) {
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let gateway_location = this.repo_gateway.get_by_id(gateway_id);
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let result = [];
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for(let rssi of this.repo_rssi.iterate_gateway(gateway_id)) {
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result.push({
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input: {
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latitude: rssi.latitude,
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longitude: rssi.longitude,
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distance: haversine(gateway_location, rssi)
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},
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output: [
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rssi.rssi
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]
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});
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}
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for(let reading of this.repo_reading.iterate_unreceived()) {
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result.push({
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input: {
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latitude: reading.latitude,
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longitude: reading.longitude,
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distance: haversine(gateway_location, reading)
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},
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output: [ -150 ]
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});
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}
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shuffle_fisher_yates(result);
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if(this.settings.ai.do_zap_false_negatives) {
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let zap_count = this.zap_false_negatives(result, this.settings.ai.false_negative_zap_radius);
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this.l.log(`[DatasetFetcher] Zapped ${zap_count} false negatives with a radius of ${this.settings.ai.false_negative_zap_radius}m.`);
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}
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for(let item of result) {
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item.input.latitude = normalise_lat(item.input.latitude);
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item.input.longitude = normalise_lng(item.input.longitude);
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item.input.distance = normalise_gateway_distance(item.input.distance);
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item.output[0] = normalise_rssi(item.output[0]);
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}
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return result;
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}
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zap_false_negatives(readings_raw, max_distance_metres) {
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let items_zapped = 0;
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for(let next_item of readings_raw) {
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// Only zap for readings where we got a signal
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if(next_item.output[0] <= -150) // -150: codename for no signal
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continue;
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// console.log(next_item);
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// Store a list of items to zap, because changing the length of the
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// array while we're iterating it is a recipe for disaster
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let items_to_zap = [];
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for(let comp_item of readings_raw) {
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// Avoid zapping readings where we got a signal
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if(comp_item.output[0] > -150)
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continue;
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let distance = haversine(
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next_item.input,
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comp_item.input
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);
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if(isNaN(distance))
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throw new Error(`Error: Got NaN when checking zapping distance.`);
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if(distance < max_distance_metres) {
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// console.log(`Zap! (${distance})`);
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items_to_zap.push(comp_item);
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}
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}
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items_zapped += items_to_zap.length;
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for(let next_item of items_to_zap) {
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readings_raw.splice(readings_raw.indexOf(next_item), 1);
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}
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}
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return items_zapped;
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}
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}
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export default DatasetFetcher;
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