time-series-data-generator

Generate time series data for development!

Installation

$ npm install --save time-series-data-generator

Getting started

1. Use simply. This generator outputs sine curve values with timestamps from "now - 1 hour" until now at 5 min interval.

const Series = require("time-series-data-generator");

const series = new Series();
console.log(series.sin());
// => [{timestamp: '2017-05-28T03:34:31.000Z', value: -0.46}, {timestamp: '2017-05-28T03:39:31.000Z', value: -0.84}, ...]

2. Use with options.

const Series = require("time-series-data-generator");

const from = "2016-01-01T00:00:00Z";
const until = "2016-01-01T01:00:00Z";
const interval = 5 * 60; // seconds
const keyName = "key-name-of-value";
const series = new Series({ from, until, interval, keyName });
console.log(series.sin());
// => [{timestamp: '2016-01-01T00:00:00.000Z', 'key-name-of-value': 0}, {timestamp: '2016-01-01T00:05:00.000Z', 'key-name-of-value': 0.5}, ...]

3. Output data with "random" timestamps.

const Series = require("time-series-data-generator");

const from = "2016-01-01T00:00:00Z";
const until = "2016-01-01T01:00:00Z";
const numOfData = 10;
const series = new Series({ type: "random", from, until, numOfData });
console.log(series.sin());
// => [{timestamp: '2016-01-01T00:01:43.000Z', value: 0.18}, {timestamp: '2016-01-01T00:02:19.000Z', value: 0.24}, ...]

Examples for each APIs

• sin(): Describing sine curve.

  const Series = require("time-series-data-generator");
  
  const series = new Series();
  console.log(series.sin());
  // => [{timestamp: '2017-05-31T02:17:23.000Z', value: 0.97}, {imestamp: '2017-05-31T02:22:23.000Z', value: 0.72}, ...]
  
  const coefficient = 1;
  const constant = 1;
  const decimalDigits = 3;
  const period = 1 * 60 * 60; // seconds
  console.log(series.sin({ coefficient, constant, decimalDigits, period }));
  // => [{timestamp: '2017-05-31T02:17:23.000Z', value: 1.969}, {timestamp: '2017-05-31T02:22:23.000Z', value: 1.716}, ...]

• cos(): Describing cosine curve.

  const Series = require("time-series-data-generator");
  
  const series = new Series();
  console.log(series.cos());
  // => [{timestamp: '2017-05-31T02:20:48.000Z', value: -0.57}, {timestamp: '2017-05-31T02:25:48.000Z', value: -0.9}, ...]
  
  const coefficient = 1;
  const constant = 1;
  const decimalDigits = 3;
  const period = 1 * 60 * 60; // seconds
  console.log(series.cos({ coefficient, constant, decimalDigits, period }));
  // => [{timestamp: '2017-05-31T02:20:48.000Z', value: 0.429}, {timestamp: '2017-05-31T02:25:48.000Z', value: 0.095}, ...]

• gaussian(): Plotting numbers with normal distribution.

  const Series = require("time-series-data-generator");
  
  const series = new Series();
  console.log(sereis.gaussian());
  // => [{timestamp: '2017-05-31T02:25:38.000Z', value: 10.15}, {timestamp: '2017-05-31T02:30:38.000Z', value: 9.68}, ...]
  
  const mean = 5;
  const variance = 1.5;
  const decimalDigits = 3;
  console.log(series.gaussian({ mean, variance, decimalDigits }));
  // => [{timestamp: '2017-05-31T02:25:38.000Z', value: 2.56}, {timestamp: '2017-05-31T02:30:38.000Z', value: 5.924}, ...]

• ratio(): Sampling strings following theirs weights.

  const Series = require("time-series-data-generator");
  
  const series = new Series({ type: "random" });
  const weights = {
    rock: 1,
    scissors: 2,
    paper: 1
  };
  console.log(series.ratio(weights));
  // => [{timestamp: '2017-05-31T02:30:25.000Z', value: 'rock'}, {timestamp: '2017-05-31T02:37:31.000Z', value: 'scissors'}, ...]

• generate(): General function.

  const Series = require("time-series-data-generator");
  
  const series = new Series({ type: "random" });
  console.log(series.generate(unix => unix));
  // => [{timestamp: '2017-05-31T02:43:57.000Z', value: 1496198637}, {timestamp: '2017-05-31T02:53:07.000Z', value: 1496199187}, ...]

API document

https://ttokutake.github.io/time-series-data-generator/