2019-07-17 14:15:31 +00:00
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"use strict";
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2019-07-29 13:17:28 +00:00
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import haversine from 'haversine-distance';
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2019-07-23 14:45:29 +00:00
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import { normalise, clamp } from '../../common/Math.mjs';
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2019-07-17 14:15:31 +00:00
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class DatasetFetcher {
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2019-07-29 13:17:28 +00:00
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constructor({ settings, GatewayRepo, RSSIRepo, ReadingRepo }) {
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2019-07-17 14:15:31 +00:00
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this.settings = settings;
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2019-07-29 13:17:28 +00:00
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this.repo_gateway = GatewayRepo;
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2019-07-17 14:15:31 +00:00
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this.repo_rssi = RSSIRepo;
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2019-07-29 13:17:28 +00:00
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this.repo_reading = ReadingRepo;
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2019-07-17 14:15:31 +00:00
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}
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2019-07-29 13:17:28 +00:00
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normalise_latlng(lat, lng) {
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2019-07-29 17:06:50 +00:00
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return {
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latitude: normalise(lat,
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2019-07-29 13:17:28 +00:00
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{ min: -90, max: +90 },
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{ min: 0, max: 1 }
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),
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longitude: normalise(lng,
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2019-07-29 13:17:28 +00:00
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{ min: -180, max: +180 },
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{ min: 0, max: 1 }
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)
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2019-07-29 17:06:50 +00:00
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};
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2019-07-29 13:17:28 +00:00
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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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2019-07-29 16:02:34 +00:00
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let result = [];
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2019-07-18 15:34:25 +00:00
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for(let rssi of this.repo_rssi.iterate_gateway(gateway_id)) {
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let next_input = this.normalise_latlng(rssi.latitude, rssi.longitude);
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let distance_from_gateway = haversine(gateway_location, rssi);
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2019-07-29 17:06:50 +00:00
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next_input.distance = clamp(
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normalise(distance_from_gateway,
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{ min: 0, max: 20000 },
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{ min: 0, max: 1 }
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),
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0, 1);
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2019-07-29 13:17:28 +00:00
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2019-07-30 14:15:34 +00:00
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// console.log(`Distance from gateway: ${haversine(gateway_location, rssi)}m`);
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2019-07-29 13:17:28 +00:00
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2019-07-29 16:02:34 +00:00
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let next_output = clamp(normalise(rssi.rssi,
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{ min: this.settings.ai.rssi_min, max: this.settings.ai.rssi_max },
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{ min: 0, max: 1 }
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), 0, 1);
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result.push({
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input: next_input,
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output: next_output
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});
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2019-07-18 15:34:25 +00:00
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}
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2019-07-29 13:17:28 +00:00
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for(let reading of this.repo_reading.iterate_unreceived()) {
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let next_input = this.normalise_latlng(
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reading.latitude,
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reading.longitude
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);
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next_input.distance = haversine(gateway_location, reading);
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2019-07-29 13:17:28 +00:00
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2019-07-30 14:15:34 +00:00
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result.push({
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input: next_input,
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output: 0
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});
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2019-07-29 13:17:28 +00:00
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}
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return result;
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}
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*fetch_input(gateway_id) {
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for(let rssi of this.repo_rssi.iterate_gateway(gateway_id))
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yield this.normalise_latlng(rssi.latitude, rssi.longitude);
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for(let rssi of this.repo_reading.iterate_unreceived())
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yield this.normalise_latlng(rssi.latitude, rssi.longitude);
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2019-07-18 15:34:25 +00:00
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}
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*fetch_output(gateway_id) {
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for(let rssi of this.repo_rssi.iterate_gateway(gateway_id)) {
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yield [
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clamp(normalise(rssi.rssi,
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{ min: this.settings.ai.rssi_min, max: this.settings.ai.rssi_max },
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{ min: 0, max: 1 }
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), 0, 1)
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];
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2019-07-17 14:15:31 +00:00
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}
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2019-07-29 13:17:28 +00:00
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// Yield 0 for every unreceived message, since we want to train it to predict a *terrible* signal where the gateway is not
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for(let rssi of this.repo_reading.iterate_unreceived()) {
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yield [ 0 ];
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}
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2019-07-17 14:15:31 +00:00
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}
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}
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export default DatasetFetcher;
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