@eagle-io/timeseries
v1.0.6
Published
Time Series data construction, manipulation and serialisation
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Time Series
Time Series data construction, manipulation and serialisation.
Installation
Install for use in NodeJS
npm install @eagle-io/timeseries
Import or require module
// ESM import
import { TimeSeries, JtsDocument } from '@eagle-io/timeseries'
// CommonJS
const { TimeSeries, JtsDocument } = require('@eagle-io/timeseries')
Usage
// Create Time Series
const timeseries = new TimeSeries({
type: 'NUMBER',
records: [
{
timestamp: new Date(),
value: 10,
quality: 192,
annotation: 'example comment'
},
{
timestamp: new Date('2022-04-13T00:00:00.000Z'),
value: 20
}
]
})
// Add record(s)
timeseries.insert({ timestamp: new Date('2022-04-14T00:00:00.000Z'), value: 30 })
// Output in JSON Time Series document format
const jtsDocument = new JtsDocument({ series: [timeseries] })
jtsDocument.toJSON()
TimeSeries
TimeSeries
is a class for constructing and manipulating a single dataset.
const timeseries = new TimeSeries({
type: 'NUMBER',
id: 'series_1',
name: 'My Series',
units: 'm/s',
records: [
{
timestamp: new Date(),
value: 1.23,
quality: 0,
annotation: 'example comment'
}
]
})
Options
Optionally provide configuration used for certain output formats such as JTS Document.
type
: data type of record value attribute.NUMBER | TEXT | TIME | COORDINATES
id
: string or number to uniquely identify the series to use instead of the automatically assigned id.name
: stringunits
: stringrecords
: array of data records
Alternatively set later:
timeseries.type = 'NUMBER'
timeseries.id = 'Series_1'
timeseries.name = 'My Series'
timeseries.units = 'm/s'
Record attributes
Records require a timestamp and at least one attribute: value, quality or annotation
timestamp
: date object. Strings must be converted as required. e.g.new Date('2022-03-29T00:00:00.000Z')
value
(optional): number, string, date, array, nullquality
(optional): number (quality code) associated with valueannotation
(optional): string description or comment related to the record
Methods
// Output as JSON
timeseries.toJSON()
// Insert single record
timeseries.insert({timestamp: new Date(), value: 30})
// Insert multiple records
timeseries.insert([{timestamp: new Date('2022-03-28T03:45:59.000Z'), value: 30}, {timestamp: new Date(), value: 40}])
// Sort records in ascending chronological order
timeseries.sort()
// Clone timeseries
const timeseriesCopy = timeseries.clone()
Properties
// Record count
timeseries.length
// First record
timeseries.first
// Last record
timeseries.last
// Array of timestamps
timeseries.timestamps // [Date, Date]
// Array of values
timeseries.values // [10, 20]
// Array of qualities
timeseries.qualities // [192]
// Array of annotations
timeseries.annotations // ['example comment']
JTS Document
JtsDocument
is a class for outputting TimeSeries
in
JSON Time Series document format.
// Create a JTS Document from one or more timeseries
const jtsDocument = new JtsDocument({ series: [timeseries1, timeseries2] })
// Output series in JTS Document format
jtsDocument.toJSON()
Options
series
: array ofTimeSeries
to include in JTS Document
Methods
// Output as formatted JSON
jtsDocument.toJSON()
// Output as stringified JSON
jtsDocument.toString()
// Add single series
jtsDocument.addSeries(timeseries1)
// Add multiple series
jtsDocument.addSeries([timeseries1, timeseries2])
// Get series by id
jtsDocument.getSeries('series_2') // timeseries2
// Clone document (also clones series)
jtsDocument.clone()
// Create a new jtsDocument from JSON
const jtsDocument = JtsDocument.from('{"docType": "jts", ...}')
Properties
// Get JTS specification version number
jtsDocument.version // 1
// Get array of timeseries
jtsDocument.series // [timeseries1, timeseries2]