const Debug = false; const NSPanel_Path = '0_userdata.0.NSPanel.1.'; const Path = NSPanel_Path + 'Influx2NSPanel.cardLChart.'; const InfluxInstance = 'influxdb.1'; const influxDbBucket = 'iobroker'; const numberOfHoursAgo = 24; const xAxisTicksEveryM = 60; const xAxisLabelEveryM = 240; // this records holds all sensors and their corresponding states which act as the data source for the charts // add all sensors which are to be displayed in this script, there is no need to use multiple scripts const sensors : Record = {}; /* ↓ Id of the sensor ↓ Id of the data source for the charts */ sensors['deconz.0.Sensors.65.temperature'] = Path + 'buero_temperature'; sensors['deconz.0.Sensors.65.humidity'] = Path + 'buero_luftfeuchte'; // create data source for NsPanel on script startup Object.keys(sensors).forEach(async x => { await generateDateAsync(x, sensors[x]); }); // then listen to the sensors and update the data source states accordingly on({ id: Object.keys(sensors), change: 'any' }, async function (obj) { if (!obj.id) { return; } await generateDateAsync(obj.id, sensors[obj.id]); }); async function generateDateAsync(sensorId: string, dataPointId: string) { const query =[ 'from(bucket: "' + influxDbBucket + '")', '|> range(start: -' + numberOfHoursAgo + 'h)', '|> filter(fn: (r) => r["_measurement"] == "' + sensorId + '")', '|> filter(fn: (r) => r["_field"] == "value")', '|> drop(columns: ["from", "ack", "q"])', '|> aggregateWindow(every: 1h, fn: last, createEmpty: false)', '|> map(fn: (r) => ({ r with _rtime: int(v: r._time) - int(v: r._start)}))', '|> yield(name: "_result")'].join(''); if (Debug) console.log('Query: ' + query); const result : any = await sendToAsync(InfluxInstance, 'query', query); if (result.error) { console.error(result.error); return; } if (Debug) console.log(result); const numResults = result.result.length; let coordinates : string = ''; for (let r = 0; r < numResults; r++) { const list : string[] = [] const numValues = result.result[r].length; for (let i = 0; i < numValues; i++) { const time = Math.round(result.result[r][i]._rtime/1000/1000/1000/60); const value = Math.round(result.result[r][i]._value * 10); list.push(time + ":" + value); } coordinates = list.join("~"); if (Debug) console.log(coordinates); } const ticksAndLabelsList : string[] = [] const date = new Date(); date.setMinutes(0, 0, 0); const ts = Math.round(date.getTime() / 1000); const tsYesterday = ts - (numberOfHoursAgo * 3600); if (Debug) console.log('Iterate from ' + tsYesterday + ' to ' + ts + ' stepsize=' + (xAxisTicksEveryM * 60)); for (let x = tsYesterday, i = 0; x < ts; x += (xAxisTicksEveryM * 60), i += xAxisTicksEveryM) { if ((i % xAxisLabelEveryM)) ticksAndLabelsList.push('' + i); else { const currentDate = new Date(x * 1000); // Hours part from the timestamp const hours = "0" + String(currentDate.getHours()); // Minutes part from the timestamp const minutes = "0" + String(currentDate.getMinutes()); const formattedTime = hours.slice(-2) + ':' + minutes.slice(-2); ticksAndLabelsList.push(String(i) + "^" + formattedTime); } } if (Debug) console.log('Ticks & Label: ' + ticksAndLabelsList); if (Debug) console.log('Coordinates: ' + coordinates); await setOrCreate(dataPointId, ticksAndLabelsList.join("+") + '~' + coordinates, true); } async function setOrCreate(id : string, value : any, ack : boolean) { if (!(await existsStateAsync(id))) { await createStateAsync(id, value, { name: id.split('.').reverse()[0], desc: 'Sensor Values [~