Files
sensorapi/databases/mongo.js
T
admin ca4b68d7ff Start using mongo timeseries
mooving all database relevant function to influx.js resp. mongo.js

aktual data now also readable from mongo
2023-05-25 13:19:03 +02:00

200 lines
6.0 KiB
JavaScript

/* Interface for MongoDB
*/
import { MongoClient } from 'mongodb'
import { logit, logerror } from '../utilities/logit.js'
import { DateTime } from 'luxon'
import {returnOnError} from "../utilities/reporterror.js";
// const nodemailer = require('nodemailer');
let MONGOHOST = process.env.MONGOHOST;
let MONGOPORT = process.env.MONGOPORT;
let MONGOAUTH = process.env.MONGOAUTH;
let MONGOUSRP = process.env.MONGOUSRP;
let MONGOBASE = process.env.MONGOBASE;
if (MONGOHOST === undefined) { MONGOHOST = 'localhost';}
if (MONGOPORT === undefined) { MONGOPORT = 27097; }
if (MONGOAUTH === undefined) { MONGOAUTH = 'false'; }
if (MONGOBASE === undefined) { MONGOBASE = 'allsensors'; }
let MONGO_URL = 'mongodb://'+MONGOHOST+':'+MONGOPORT; // URL to mongo database
if (MONGOAUTH === 'true') {
MONGO_URL = 'mongodb://'+MONGOUSRP+'@' + MONGOHOST + ':' + MONGOPORT + '/?authSource=' + MONGOBASE; // URL to mongo database
}
export const properties_collection = 'pptest'
export const connectMongo = async () => {
try {
// logit(`Try to connect to ${MONGO_URL}`)
// let client = await MongoClient.connect(MONGO_URL, { useNewUrlParser: true , useUnifiedTopology: true })
let client = await MongoClient.connect(MONGO_URL)
logit(`Mongodbase connected to ${MONGO_URL}`)
return client
}
catch(error){
throw(error)
}
}
const listDatabases = async (client) => {
let databasesList = await client.db().admin().listDatabases();
console.log("Databases:");
databasesList.databases.forEach(db => console.log(` - ${db.name}`));
}
/* ***************************************************
// READ routines
******************************************************/
// Read properties from the database
export const readProperties = async (query, limit = 0) => {
let ret = {err: null, properties: null}
let client = await connectMongo()
try {
if ("sid" in query) { // if sid is given, read property for sid
ret.properties = await client.db(MONGOBASE).collection(properties_collection).findOne({_id: query.sid})
} else { // otherwise read props corresponding to query
ret.properties = await client.db(MONGOBASE).collection(properties_collection).find(query).limit(limit).toArray()
}
} catch (e) {
ret.err = e
}
finally {
client.close()
}
return ret
}
// read mapdata from database
export const readMapdata = async (query, limit) => {
let ret = {err: null, mapdata: []}
let client = await connectMongo()
try {
ret.mapdata = await client.db(MONGOBASE).collection("mapdata").find(query).limit(limit).toArray()
} catch (e) {
ret.err = e
}
finally {
client.close()
}
return ret
}
export const getallProperties = async (coll, query) => {
let ret = {err: null, properties: []}
let client = await connectMongo()
try {
ret.properties = await client.db(MONGOBASE).collection(coll)
.find(query).toArray()
} catch (e) {
ret.err = e
}
finally {
client.close()
}
return ret
}
export const getOneproperty = async (sid) => {
let ret = {error: false}
let client = await connectMongo()
try {
ret.properties = await client.db(MONGOBASE).collection("properties_collection")
.findOne({_id: sid})
} catch (e) {
ret = {error: true, errortext: e}
}
finally {
client.close()
}
return ret
}
export const readAKWs = async (options) => {
let ret = {values: { akws: [], th1_akws: []}, err: null}
let erg = []
let client = await connectMongo()
try {
let docs = await client.db(MONGOBASE).collection("akws")
.find().toArray()
if(docs == null) {
return returnOnError(ret, 'akws - docs == null', readAKWs.name)
}
logit(`getawkdata: data fetched from akws, length= ${docs.length}`);
ret.values.akws = docs
let docs1 = await client.db(MONGOBASE).collection("th1_akws")
.find().toArray()
if(docs1 == null) {
return returnOnError(ret, 'th1_akws - docs == null', readAKWs.name)
}
logit(`getawkdata: data fetched from th1_akws, length= ${docs1.length}`)
ret.values.th1_akws = docs1
} catch (e) {
return returnOnError(ret, e, readAKWs.name)
}
finally {
client.close()
}
return ret
}
export const fetchActData = async (opts) => {
let ret = {err: null, values: []}
let start = opts.start.slice(7)
let end = opts.stop.slice(6)
start = DateTime.fromISO(start).toJSDate()
end = DateTime.fromISO(end).toJSDate()
let query = {sensorid: opts.sensorid, datetime: {$gte: start, $lt: end}}
let client = await connectMongo()
try {
ret.values = await client.db(MONGOBASE).collection('sensors')
.find(query).toArray()
}
catch(e) {
ret.err = e
}
finally {
client.close()
}
return ret
}
/*
let docs = await collection.find(
{ datetime:
{ $gte: start.toDate(), $lt: end.toDate() }
},
{ projection:
{_id:0, E_eq:0, E_mx:0, E_mi:0, E10tel_mx:0, E10tel_mi:0}, sort: {datetime: sort}
},
).toArray();
*/
export const fetchActDataxx = async (opts) => {
let ret = {err: null, values: []}
let sorting = ''
if(opts.sort) {
if (opts.sort === 1) {
sorting = '|> sort(columns: ["_time"], desc: false)'
} else if (opts.sort === -1) {
sorting = '|> sort(columns: ["_time"], desc: true)'
}
}
// build the flux query
let query = `
from(bucket: "sensor_data")
|> range(${opts.start}, ${opts.stop})
|> filter(fn: (r) => r.sid == "${opts.sensorid}")
${sorting}
|> keep(columns: ["_time","_field","_value"])
|> pivot(rowKey:["_time"], columnKey: ["_field"], valueColumn: "_value")
`
return await fetchFromInflux(ret, query)
}