Ertser Commit der test-Version
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190
actions/data4map.js
Normal file
190
actions/data4map.js
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// Fetch the actual (= newest) data out of the dbase to show it on the map
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import {DateTime} from "luxon"
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import * as mongo from "../databases/mongo.js"
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import { returnOnError } from "../utilities/reporterror.js"
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// Default distance for center search ( in km)
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const DEFAULT_DISTANCE = 10
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// Value to use fpr map
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const value4map = [
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{ typ: 'noise', value: 'LA_max'},
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{ typ: 'pm', value: 'P1'},
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{ typ: 'thp', value: 'temperature'},
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{ typ: 'radioactivity', value: 'counts_per_minute'},
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]
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// get value for map from tabel
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const getValue4Map = (t) => {
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for(let x of value4map) {
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if(x.typ == t) {
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return x.value
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}
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}
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return ''
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}
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// Relations between types and value type
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const vtype2measurement = {
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P1: 'pm', P2: 'pm', P0: 'pm',
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temperature: 'thp', humidity: 'thp', pressure: 'thp',
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LAeq: 'noise',
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counts_per_minute: 'radioactivity'
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};
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// find first value type from measurement
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const getfieldfromtype = (typ) => {
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for (const [key, value] of Object.entries(vtype2measurement)) {
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if (value === typ) {
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return key
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}
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}
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return ' '
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}
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// read the last entries from the influx database
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const readLastDates = async (typ) => {
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let ret = {values: [], err: null}
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let query = `
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from(bucket: "sensor_data")
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|> range(start: -2h)
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|> filter(fn: (r) => r._measurement == "${typ}" and r._field == "${getValue4Map(typ)}")
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|> last()
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|> group()
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|> map(fn: (r) => ({r with sid: int(v: r.sid)}))
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|> sort(columns: ["sid"])
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|> keep(columns: ["_time","sid","_value"])
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`
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return await fetchFromInflux(ret, query)
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}
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export var getData4map = async (params) => {
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let start = DateTime.now()
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let ret = {err: null}
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// ***** This function will (at the moment) only be called by internal routines, so there is no need to check the parameters !
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const typ = params.type
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let poly = []
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let south = null, north = null, east = null, west = null, center = null
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let distance = DEFAULT_DISTANCE
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if(params.box !== undefined) {
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let val = params.box.split(',')
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for (let i = 0; i < val.length; i++) {
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val[i] = parseFloat(val[i])
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}
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south = parseFloat(val[1])
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north = parseFloat(val[3])
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east = parseFloat(val[2])
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west = parseFloat(val[0])
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// logit(`getData4map: S=${south} N=${north} E=${east} W=${west}`)
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}
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if (!((params.poly === undefined) || (params.poly === ' '))){
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poly = JSON.parse(params.poly)
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}
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if (params.center !== undefined) {
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center = params.center
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if ((params.distance !== undefined) &&
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(params.distance >= 1) && (params.distance <= 1000)) {
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distance = params.distance
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}
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}
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const aktData = []
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let lastDate = 0
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let query = {type: typ}
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// if polyline or box were given, set query
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if (poly.length !== 0) { // polyline given
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query.location = {
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$geoWithin: {
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$geometry: {
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type: "Polygon",
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coordinates: [poly],
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}
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}
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}
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} else if (south !== null) { // box given
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query["location.loc"] = {
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$geoWithin: {
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$box: [
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[west, south],
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[east, north]
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]
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}
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}
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} else if (center !== null) { // center point given
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query["location.loc"] = {
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$nearSphere: {
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$geometry: {
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type: "Point",
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coordinates: center
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},
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$maxDistance: distance * 1000
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}
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}
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}
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try {
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// fetch mapdata from mongodb
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let { properties, err } = await mongo.getallProperties(mongo.properties_collection, query)
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if(err) {
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return returnOnError(ret, 'NOPROPSFOUND', getData4map.name)
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}
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let v4map = getValue4Map(typ)
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for (let sensor of properties) {
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let oneAktData = {}
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if (sensor.values !== undefined) {
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oneAktData = {
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location: sensor.location[0].loc.coordinates,
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id: sensor._id,
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name: sensor.name[0].name,
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indoor: sensor.location[0].indoor,
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lastseen: sensor.values.timestamp
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}
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let now = new Date().getTime()
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if(oneAktData.lastseen !== '') {
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let diff = now - oneAktData.lastseen.getTime()
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if (diff >= 365 * 24 * 3600 * 1000) {
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oneAktData.value = -4
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} else if (diff >= 30 * 24 * 3600 * 1000) {
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oneAktData.value = -3
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} else if (diff >= 7 * 24 * 3600 * 1000) {
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oneAktData.value = -2
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} else if (diff >= 2 * 3600 * 1000) {
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oneAktData.value = -1
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} else {
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if (sensor.values !== undefined) {
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oneAktData.value = Math.round(sensor.values[v4map] * 100) / 100
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}
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}
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let weeks = Math.round(diff / (7 * 24 * 3600 * 1000))
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oneAktData.weeks = weeks
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}
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if (sensor.values.timestamp > lastDate) {
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lastDate = sensor.values.timestamp
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}
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} else {
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oneAktData.value = -5
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oneAktData.weeks = 0
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oneAktData.lastseen = ''
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}
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aktData.push(oneAktData)
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}
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ret = {
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err: null,
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options: {
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lastdate: lastDate,
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count: aktData.length,
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data: 'map'
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},
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values: aktData
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}
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return ret
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}
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catch(e) {
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return returnOnError(ret, `catch\n${e}`, getData4map.name)
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}
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}
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