Files
nspanel-lovelace-ui/ioBroker/Blockly/CardLChart_Influx2.ts
2024-01-30 10:23:19 +01:00

109 lines
4.1 KiB
TypeScript

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<string, string> = {};
/* ↓ Id of the sensor ↓ Id of the data source for the charts */
sensors['deconz.0.Sensors.65.temperature'] = Path + 'buero_temperature.ACTUAL';
sensors['deconz.0.Sensors.65.humidity'] = Path + 'buero_luftfeuchte.ACTUAL';
// 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 [~<time>:<value>]*',
type: 'string',
role: 'value',
});
} else {
await setStateAsync(id, value, ack);
}
}