mirror of
https://github.com/joBr99/nspanel-lovelace-ui.git
synced 2025-12-19 22:24:15 +01:00
update CardLChart_Influx2.ts
- codeanpassungen
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@@ -1,109 +1,130 @@
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const Debug = false;
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/**
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* Dieses Script fragt eine influxDb ab, um Daten für die cardLcart (Liniendiagramm) zuberechnen und im richtigen Format bereitzustellen.
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* Es erstellt automatisch einen Datenpunkt.
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* Die Abfrage muss ggf. angepasst werden. Aktuell ermittelt sie Werte der letzten 24h, zu Stundenwerten zusammengefasst.
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*/
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const NSPanel_Path = '0_userdata.0.NSPanel.1.';
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const Debug = false; // true für erweiterte Ausgaben im Log
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const NSPanel_Path = '0_userdata.0.NSPanel.';
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const Path = NSPanel_Path + 'Influx2NSPanel.cardLChart.';
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const InfluxInstance = 'influxdb.1';
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const influxDbBucket = 'iobroker';
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const InfluxInstance = 'influxdb.0';
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const influxDbBucket = 'storage_short';
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const numberOfHoursAgo = 24;
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const xAxisTicksEveryM = 60;
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const xAxisLabelEveryM = 240;
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//
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// this records holds all sensors and their corresponding states which act as the data source for the charts
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// add all sensors which are to be displayed in this script, there is no need to use multiple scripts
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const sensors : Record<string, string> = {};
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/* ↓ Id of the sensor ↓ Id of the data source for the charts */
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sensors['deconz.0.Sensors.65.temperature'] = Path + 'buero_temperature.ACTUAL';
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sensors['deconz.0.Sensors.65.humidity'] = Path + 'buero_luftfeuchte.ACTUAL';
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const sensors : Record<string, Record <string, string>> = {};
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/**
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* Hier werden die Sensoren festgelegt nach flogendem Schema
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*
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* sensors[‘Datenpunkt(kompletter Pfad) des Messwertes'] = {'taget': 'Name des Datenpunkt für die Chartwerte', 'measurement': 'genutzter Alias in der Influxdb für den Messwert'};
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*
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* Wenn der Wert in der Datenbank keinen Alias hat bleibt der Wert 'measurement': weg.
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* Jeder Messwert bekommt einen eigenen sensors[...] = {'target':....}
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*/
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sensors['netatmo-crawler.0.stationData.1.temperature'] = {'target':'AussenTemp', 'measurement':'wetter.temperatur'};
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// ##### ab hier keine Änderungen mehr nötig #####
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// create data source for NsPanel on script startup
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Object.keys(sensors).forEach(async x => {
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await generateDateAsync(x, sensors[x]);
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Object.keys(sensors).forEach(async id => {
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await generateDateAsync(id);
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});
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// then listen to the sensors and update the data source states accordingly
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on({ id: Object.keys(sensors), change: 'any' }, async function (obj) {
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if (!obj.id) {
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return;
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}
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await generateDateAsync(obj.id, sensors[obj.id]);
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if (!obj.id) {
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return;
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}
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await generateDateAsync(obj.id);
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});
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async function generateDateAsync(sensorId: string, dataPointId: string) {
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const query =[
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'from(bucket: "' + influxDbBucket + '")',
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'|> range(start: -' + numberOfHoursAgo + 'h)',
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'|> filter(fn: (r) => r["_measurement"] == "' + sensorId + '")',
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'|> filter(fn: (r) => r["_field"] == "value")',
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'|> drop(columns: ["from", "ack", "q"])',
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'|> aggregateWindow(every: 1h, fn: last, createEmpty: false)',
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'|> map(fn: (r) => ({ r with _rtime: int(v: r._time) - int(v: r._start)}))',
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'|> yield(name: "_result")'].join('');
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//__________________________
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// Beschreibe diese Funktion: Daten generieren
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async function generateDateAsync(sensorId: string) {
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let idMeasurement = sensors[sensorId].measurement;
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if (idMeasurement =='' ||idMeasurement == undefined) {idMeasurement = sensorId};
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const dataPointId:string = Path + sensors[sensorId].target +'.ACTUAL';
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if (Debug) log(`(f) generateDateAsync: ${sensorId} ${dataPointId} > ${idMeasurement}`);
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if (Debug) console.log('Query: ' + query);
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const query =[
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'from(bucket: "' + influxDbBucket + '")',
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'|> range(start: -' + numberOfHoursAgo + 'h)',
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'|> filter(fn: (r) => r["_measurement"] == "' + idMeasurement + '")',
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'|> filter(fn: (r) => r["_field"] == "value")',
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'|> drop(columns: ["from", "ack", "q"])',
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'|> aggregateWindow(every: 1h, fn: last, createEmpty: false)',
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'|> map(fn: (r) => ({ r with _rtime: int(v: r._time) - int(v: r._start)}))',
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'|> yield(name: "_result")'].join('');
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const result : any = await sendToAsync(InfluxInstance, 'query', query);
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if (result.error) {
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console.error(result.error);
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return;
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}
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if (Debug) console.log('Query: ' + query);
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if (Debug) console.log(result);
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const numResults = result.result.length;
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let coordinates : string = '';
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for (let r = 0; r < numResults; r++)
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{
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const list : string[] = []
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const numValues = result.result[r].length;
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const result : any = await sendToAsync(InfluxInstance, 'query', query);
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if (result.error) {
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console.error(result.error);
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return;
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}
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if (Debug) console.log(JSON.stringify(result));
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const numResults = result.result.length;
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let coordinates : string = '';
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for (let r = 0; r < numResults; r++)
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{
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const list : string[] = [];
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const numValues = result.result[r].length;
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for (let i = 0; i < numValues; i++)
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{
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const time = Math.round(result.result[r][i]._rtime/1000/1000/1000/60);
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const value = Math.round(result.result[r][i]._value * 10);
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list.push(time + ":" + value);
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}
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for (let i = 0; i < numValues; i++)
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{
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const time = Math.round(result.result[r][i]._rtime/1000/1000/1000/60);
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const value = Math.round(result.result[r][i]._value * 10);
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list.push(time + ":" + value);
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}
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coordinates = list.join("~");
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coordinates = list.join("~");
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if (Debug) console.log(coordinates);
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}
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if (Debug) console.log(coordinates);
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}
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const ticksAndLabelsList : string[] = []
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const date = new Date();
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date.setMinutes(0, 0, 0);
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const ts = Math.round(date.getTime() / 1000);
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const tsYesterday = ts - (numberOfHoursAgo * 3600);
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if (Debug) console.log('Iterate from ' + tsYesterday + ' to ' + ts + ' stepsize=' + (xAxisTicksEveryM * 60));
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for (let x = tsYesterday, i = 0; x < ts; x += (xAxisTicksEveryM * 60), i += xAxisTicksEveryM)
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{
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if ((i % xAxisLabelEveryM))
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ticksAndLabelsList.push('' + i);
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else
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{
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const currentDate = new Date(x * 1000);
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// Hours part from the timestamp
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const hours = "0" + String(currentDate.getHours());
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// Minutes part from the timestamp
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const minutes = "0" + String(currentDate.getMinutes());
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const formattedTime = hours.slice(-2) + ':' + minutes.slice(-2);
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const ticksAndLabelsList : string[] = []
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const date = new Date();
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date.setMinutes(0, 0, 0);
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const ts = Math.round(date.getTime() / 1000);
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const tsYesterday = ts - (numberOfHoursAgo * 3600);
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if (Debug) console.log('Iterate from ' + tsYesterday + ' to ' + ts + ' stepsize=' + (xAxisTicksEveryM * 60));
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for (let x = tsYesterday, i = 0; x < ts; x += (xAxisTicksEveryM * 60), i += xAxisTicksEveryM)
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{
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if ((i % xAxisLabelEveryM))
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ticksAndLabelsList.push('' + i);
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else
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{
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const currentDate = new Date(x * 1000);
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// Hours part from the timestamp
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const hours = "0" + String(currentDate.getHours());
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// Minutes part from the timestamp
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const minutes = "0" + String(currentDate.getMinutes());
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const formattedTime = hours.slice(-2) + ':' + minutes.slice(-2);
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ticksAndLabelsList.push(String(i) + "^" + formattedTime);
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}
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}
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if (Debug) console.log('Ticks & Label: ' + ticksAndLabelsList);
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if (Debug) console.log('Coordinates: ' + coordinates);
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await setOrCreate(dataPointId, ticksAndLabelsList.join("+") + '~' + coordinates, true);
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ticksAndLabelsList.push(String(i) + "^" + formattedTime);
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}
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}
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if (Debug) console.log('Ticks & Label: ' + ticksAndLabelsList);
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if (Debug) console.log('Coordinates: ' + coordinates);
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await setOrCreate(dataPointId, ticksAndLabelsList.join("+") + '~' + coordinates, true);
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}
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//__________________________
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// Beschreibe diese Funktion: Datenpunkte anlegen bzw. schreiben
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async function setOrCreate(id : string, value : any, ack : boolean) {
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if (!(await existsStateAsync(id))) {
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await createStateAsync(id, value, {
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name: id.split('.').reverse()[0],
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desc: 'Sensor Values [~<time>:<value>]*',
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type: 'string',
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role: 'value',
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});
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} else {
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await setStateAsync(id, value, ack);
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}
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if (!(await existsStateAsync(id))) {
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await createStateAsync(id, value, {
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name: id.split('.').reverse()[0],
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desc: 'Sensor Values [~<time>:<value>]*',
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type: 'string',
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role: 'value',
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});
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} else {
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await setStateAsync(id, value, ack);
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}
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}
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