Many changes to have Noise Live Chart

This commit is contained in:
rxf
2023-03-20 20:01:22 +01:00
parent acad6d8276
commit 088005c040
8 changed files with 282 additions and 97 deletions
+86 -38
View File
@@ -4,11 +4,31 @@ import {logit} from "../utilities/logit.js"
import * as mongo from "../databases/mongo.js"
import {reportError, returnOnError} from "../utilities/reporterror.js"
import * as ERR from "../utilities/errortexts.js"
import checkParams from "../utilities/checkparams.js";
import {fetchFromInflux} from "./getsensorData.js";
import {NOPROPSFOUND} from "../utilities/errortexts.js";
// Default distance for center search ( in km)
const DEFAULT_DISTANCE = 10
// Value to use fpr map
const value4map = [
{ typ: 'noise', value: 'noise_LA_max'},
{ typ: 'pm', value: 'P1'},
{ typ: 'thp', value: 'temperature'},
{ typ: 'radioactivity', value: 'counts_per_minute'},
]
// get value for map from tabel
const getValue4Map = (t) => {
for(let x of value4map) {
if(x.typ == t) {
return x.value
}
}
return ''
}
// Relations between types and value type
const vtype2measurement = {
@@ -19,6 +39,7 @@ const vtype2measurement = {
};
// find first value type from measurement
const getfieldfromtype = (typ) => {
for (const [key, value] of Object.entries(vtype2measurement)) {
@@ -30,27 +51,42 @@ const getfieldfromtype = (typ) => {
}
// read the last entries from the influx database
const readLastDates = async (typ) => {
let ret = {values: [], err: null}
let query = `
from(bucket: "sensor_data")
|> range(start: -2h)
|> filter(fn: (r) => r._measurement == "${typ}" and r._field == "${getValue4Map(typ)}")
|> last()
|> group()
|> map(fn: (r) => ({r with sid: int(v: r.sid)}))
|> sort(columns: ["sid"])
|> keep(columns: ["_time","sid","_value"])
`
return await fetchFromInflux(ret, query)
}
export const getData4map = async (params) => {
let start = DateTime.now()
let retur = { err: null, data: { params: params} }
let ret = {err: null}
// ***** This function will (at the moment) only be called by internal routines, so there is no need to check the parameters !
// check parameters
if ((params.type === undefined) || (params.type === '')) {
return returnOnError(retur, ERR.NOTYP, getData4map.name)
}
const typ = params.type
let poly = []
let south = null, north = null, east = null, west = null, center = null
let distance = DEFAULT_DISTANCE
if (!((params.box === undefined) || (params.box == ""))) {
const box = params.box
if (!((box === undefined) || (box === ' ') || (box === 'null'))) {
south = parseFloat(box.south)
north = parseFloat(box.north)
east = parseFloat(box.east)
west = parseFloat(box.west)
logit(`getData4map: S=${south} N=${north} E=${east} W=${west}`)
if(params.box !== undefined) {
let val = params.box.split(',')
for (let i = 0; i < val.length; i++) {
val[i] = parseFloat(val[i])
}
south = parseFloat(val[1])
north = parseFloat(val[3])
east = parseFloat(val[2])
west = parseFloat(val[0])
logit(`getData4map: S=${south} N=${north} E=${east} W=${west}`)
}
if (!((params.poly === undefined) || (params.poly === ' '))){
poly = JSON.parse(params.poly)
@@ -96,43 +132,55 @@ export const getData4map = async (params) => {
}
}
}
// depending of the type find the measurement field to fetch
const vtype = getfieldfromtype(typ)
// fetch mapdata from mongodb
try {
let { values, err } = await mongo.readMapdata(query, 0)
// fetch mapdata from mongodb
let { properties, err } = await mongo.getallProperties(mongo.properties_collection, query)
if(err) {
return returnOnError(retur, ERR.NOSENSFOUND, getData4map.name)
return returnOnError(ret, ERR.NOPROPSFOUND, getData4map.name)
}
for (let item of values) {
let v4map = getValue4Map(typ)
for (let sensor of properties) {
let id = sensor._id
const oneAktData = {
location: item.location.loc.coordinates,
id: item._id,
name: item.name,
indoor: item.location.indoor,
value: Math.round(item.value[vtype] * 100) / 100
location: sensor.location[0].loc.coordinates,
id: sensor._id,
name: sensor.name[0].name,
indoor: sensor.location[0].indoor,
lastseen: sensor.values.timestamp
}
let now = new Date().getTime()
let diff = now - item.timestamp
if (diff >= 7 * 24 * 3600 * 1000) {
oneAktData.value = -2
} else if (diff >= 2 * 3600 * 1000) {
oneAktData.value = -1
oneAktData.value = -1
if(oneAktData.lastseen !== '') {
let diff = now - oneAktData.lastseen.getTime()
if (diff >= 365 * 24 * 3600 * 1000) {
oneAktData.value = -4
} else if (diff >= 30 * 24 * 3600 * 1000) {
oneAktData.value = -3
} else if (diff >= 7 * 24 * 3600 * 1000) {
oneAktData.value = -2
} else if (diff >= 2 * 3600 * 1000) {
oneAktData.value = -1
} else {
if (sensor.values !== undefined) {
oneAktData.value = Math.round(sensor.values[v4map] * 100) / 100
}
}
}
if (item.timestamp > lastDate) {
lastDate = item.timestamp
if (sensor.values.timestamp > lastDate) {
lastDate = sensor.values.timestamp
}
aktData.push(oneAktData)
}
logit(`Query duration: ${start.diffNow('seconds').toObject().seconds * -1} sec`)
retur.data.lastDate = lastDate
retur.data.valuetype = vtype
retur.data.count = aktData.length
retur.data.values = aktData
return retur
ret = {
err: null,
lastdate: lastDate,
count: aktData.length,
values: aktData
}
return ret
}
catch(e) {
return returnOnError(retur, `catch\n${e}`, getData4map.name)
return returnOnError(ret, `catch\n${e}`, getData4map.name)
}
}