EVOLUTION-MANAGER

Edit File: heatmap_data_converter.test.ts

import _ from 'lodash';
import { describe, beforeEach, it, expect } from '../../../../../test/lib/common';
import TimeSeries from 'app/core/time_series2';
import {
  convertToHeatMap,
  convertToCards,
  histogramToHeatmap,
  calculateBucketSize,
  isHeatmapDataEqual,
} from '../heatmap_data_converter';
import { HeatmapData } from '../types';

describe('isHeatmapDataEqual', () => {
  const ctx: any = {};

beforeEach(() => {
    ctx.heatmapA = {
      '1422774000000': {
        x: 1422774000000,
        buckets: {
          '1': { y: 1, values: [1, 1.5] },
          '2': { y: 2, values: [1] },
        },
      },
    };

ctx.heatmapB = {
      '1422774000000': {
        x: 1422774000000,
        buckets: {
          '1': { y: 1, values: [1.5, 1] },
          '2': { y: 2, values: [1] },
        },
      },
    };
  });

it('should proper compare objects', () => {
    const heatmapC = _.cloneDeep(ctx.heatmapA);
    heatmapC['1422774000000'].buckets['1'].values = [1, 1.5];

const heatmapD = _.cloneDeep(ctx.heatmapA);
    heatmapD['1422774000000'].buckets['1'].values = [1.5, 1, 1.6];

const heatmapE = _.cloneDeep(ctx.heatmapA);
    heatmapE['1422774000000'].buckets['1'].values = [1, 1.6];

const empty = {};
    const emptyValues = _.cloneDeep(ctx.heatmapA);
    emptyValues['1422774000000'].buckets['1'].values = [];

expect(isHeatmapDataEqual(ctx.heatmapA, ctx.heatmapB)).toBe(true);
    expect(isHeatmapDataEqual(ctx.heatmapB, ctx.heatmapA)).toBe(true);

expect(isHeatmapDataEqual(ctx.heatmapA, heatmapC)).toBe(true);
    expect(isHeatmapDataEqual(heatmapC, ctx.heatmapA)).toBe(true);

expect(isHeatmapDataEqual(ctx.heatmapA, heatmapD)).toBe(false);
    expect(isHeatmapDataEqual(heatmapD, ctx.heatmapA)).toBe(false);

expect(isHeatmapDataEqual(ctx.heatmapA, heatmapE)).toBe(false);
    expect(isHeatmapDataEqual(heatmapE, ctx.heatmapA)).toBe(false);

expect(isHeatmapDataEqual(empty, ctx.heatmapA)).toBe(false);
    expect(isHeatmapDataEqual(ctx.heatmapA, empty)).toBe(false);

expect(isHeatmapDataEqual(emptyValues, ctx.heatmapA)).toBe(false);
    expect(isHeatmapDataEqual(ctx.heatmapA, emptyValues)).toBe(false);
  });
});

describe('calculateBucketSize', () => {
  const ctx: any = {};

describe('when logBase is 1 (linear scale)', () => {
    beforeEach(() => {
      ctx.logBase = 1;
      ctx.bounds_set = [
        { bounds: [], size: 0 },
        { bounds: [0], size: 0 },
        { bounds: [4], size: 4 },
        { bounds: [0, 1, 2, 3, 4], size: 1 },
        { bounds: [0, 1, 3, 5, 7], size: 1 },
        { bounds: [0, 3, 7, 9, 15], size: 2 },
        { bounds: [0, 7, 3, 15, 9], size: 2 },
        { bounds: [0, 5, 10, 15, 50], size: 5 },
      ];
    });

it('should properly calculate bucket size', () => {
      _.each(ctx.bounds_set, b => {
        const bucketSize = calculateBucketSize(b.bounds, ctx.logBase);
        expect(bucketSize).toBe(b.size);
      });
    });
  });

describe('when logBase is 2', () => {
    beforeEach(() => {
      ctx.logBase = 2;
      ctx.bounds_set = [
        { bounds: [], size: 0 },
        { bounds: [0], size: 0 },
        { bounds: [4], size: 4 },
        { bounds: [1, 2, 4, 8], size: 1 },
        { bounds: [1, Math.SQRT2, 2, 8, 16], size: 0.5 },
      ];
    });

it('should properly calculate bucket size', () => {
      _.each(ctx.bounds_set, b => {
        const bucketSize = calculateBucketSize(b.bounds, ctx.logBase);
        expect(isEqual(bucketSize, b.size)).toBe(true);
      });
    });
  });
});

describe('HeatmapDataConverter', () => {
  const ctx: any = {};

beforeEach(() => {
    ctx.series = [];
    ctx.series.push(
      new TimeSeries({
        datapoints: [
          [1, 1422774000000],
          [1, 1422774000010],
          [2, 1422774060000],
        ],
        alias: 'series1',
      })
    );
    ctx.series.push(
      new TimeSeries({
        datapoints: [
          [2, 1422774000000],
          [2, 1422774000010],
          [3, 1422774060000],
        ],
        alias: 'series2',
      })
    );
    ctx.series.push(
      new TimeSeries({
        datapoints: [
          [5, 1422774000000],
          [3, 1422774000010],
          [4, 1422774060000],
        ],
        alias: 'series3',
      })
    );

ctx.xBucketSize = 60000; // 60s
    ctx.yBucketSize = 2;
    ctx.logBase = 1;
  });

describe('when logBase is 1 (linear scale)', () => {
    beforeEach(() => {
      ctx.logBase = 1;
    });

it('should build proper heatmap data', () => {
      const expectedHeatmap = {
        '1422774000000': {
          x: 1422774000000,
          buckets: {
            '0': {
              y: 0,
              values: [1, 1],
              count: 2,
              bounds: { bottom: 0, top: 2 },
            },
            '2': {
              y: 2,
              values: [2, 2, 3],
              count: 3,
              bounds: { bottom: 2, top: 4 },
            },
            '4': { y: 4, values: [5], count: 1, bounds: { bottom: 4, top: 6 } },
          },
        },
        '1422774060000': {
          x: 1422774060000,
          buckets: {
            '2': {
              y: 2,
              values: [2, 3],
              count: 3,
              bounds: { bottom: 2, top: 4 },
            },
            '4': { y: 4, values: [4], count: 1, bounds: { bottom: 4, top: 6 } },
          },
        },
      };

const heatmap = convertToHeatMap(ctx.series, ctx.yBucketSize, ctx.xBucketSize, ctx.logBase);
      expect(isHeatmapDataEqual(heatmap, expectedHeatmap)).toBe(true);
    });
  });

describe.skip('when logBase is 2', () => {
    beforeEach(() => {
      ctx.logBase = 2;
    });

it('should build proper heatmap data', () => {
      const expectedHeatmap = {
        '1422774000000': {
          x: 1422774000000,
          buckets: {
            '1': { y: 1, values: [1] },
            '2': { y: 2, values: [2] },
          },
        },
        '1422774060000': {
          x: 1422774060000,
          buckets: {
            '2': { y: 2, values: [2, 3] },
          },
        },
      };

const heatmap = convertToHeatMap(ctx.series, ctx.yBucketSize, ctx.xBucketSize, ctx.logBase);
      expect(isHeatmapDataEqual(heatmap, expectedHeatmap)).toBe(true);
    });
  });
});

describe('Histogram converter', () => {
  const ctx: any = {};

beforeEach(() => {
    ctx.series = [];
    ctx.series.push(
      new TimeSeries({
        datapoints: [
          [1, 1422774000000],
          [0, 1422774060000],
        ],
        alias: '1',
        label: '1',
      })
    );
    ctx.series.push(
      new TimeSeries({
        datapoints: [
          [5, 1422774000000],
          [3, 1422774060000],
        ],
        alias: '2',
        label: '2',
      })
    );
    ctx.series.push(
      new TimeSeries({
        datapoints: [
          [0, 1422774000000],
          [1, 1422774060000],
        ],
        alias: '3',
        label: '3',
      })
    );
  });

describe('when converting histogram', () => {
    beforeEach(() => {});

it('should build proper heatmap data', () => {
      const expectedHeatmap: HeatmapData = {
        '1422774000000': {
          x: 1422774000000,
          buckets: {
            '0': {
              y: 0,
              count: 1,
              bounds: { bottom: 0, top: null },
              values: [],
              points: [],
            },
            '1': {
              y: 1,
              count: 5,
              bounds: { bottom: 1, top: null },
              values: [],
              points: [],
            },
            '2': {
              y: 2,
              count: 0,
              bounds: { bottom: 2, top: null },
              values: [],
              points: [],
            },
          },
        },
        '1422774060000': {
          x: 1422774060000,
          buckets: {
            '0': {
              y: 0,
              count: 0,
              bounds: { bottom: 0, top: null },
              values: [],
              points: [],
            },
            '1': {
              y: 1,
              count: 3,
              bounds: { bottom: 1, top: null },
              values: [],
              points: [],
            },
            '2': {
              y: 2,
              count: 1,
              bounds: { bottom: 2, top: null },
              values: [],
              points: [],
            },
          },
        },
      };

const heatmap = histogramToHeatmap(ctx.series);
      expect(heatmap).toEqual(expectedHeatmap);
    });

it('should use bucket index as a bound', () => {
      const heatmap = histogramToHeatmap(ctx.series);
      const bucketLabels = _.map(heatmap['1422774000000'].buckets, (b, label) => label);
      const bucketYs = _.map(heatmap['1422774000000'].buckets, 'y');
      const bucketBottoms = _.map(heatmap['1422774000000'].buckets, b => b.bounds.bottom);
      const expectedBounds = [0, 1, 2];

expect(bucketLabels).toEqual(_.map(expectedBounds, b => b.toString()));
      expect(bucketYs).toEqual(expectedBounds);
      expect(bucketBottoms).toEqual(expectedBounds);
    });
  });
});

describe('convertToCards', () => {
  let buckets: HeatmapData = {};

beforeEach(() => {
    buckets = {
      '1422774000000': {
        x: 1422774000000,
        buckets: {
          '1': { y: 1, values: [1], count: 1, bounds: {} },
          '2': { y: 2, values: [2], count: 1, bounds: {} },
        },
      },
      '1422774060000': {
        x: 1422774060000,
        buckets: {
          '2': { y: 2, values: [2, 3], count: 2, bounds: {} },
        },
      },
    };
  });

it('should build proper cards data', () => {
    const expectedCards = [
      { x: 1422774000000, y: 1, count: 1, values: [1], yBounds: {} },
      { x: 1422774000000, y: 2, count: 1, values: [2], yBounds: {} },
      { x: 1422774060000, y: 2, count: 2, values: [2, 3], yBounds: {} },
    ];
    const res = convertToCards(buckets);
    expect(res.cards).toMatchObject(expectedCards);
  });

it('should build proper cards stats', () => {
    const expectedStats = { min: 1, max: 2 };
    const res = convertToCards(buckets);
    expect(res.cardStats).toMatchObject(expectedStats);
  });
});

/**
 * Compare two numbers with given precision. Suitable for compare float numbers after conversions with precision loss.
 * @param a
 * @param b
 * @param precision
 */
function isEqual(a: number, b: number, precision = 0.000001): boolean {
  if (a === b) {
    return true;
  } else {
    return Math.abs(1 - a / b) <= precision;
  }
}