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[ML] Display a ordinal y axis for low cardinality rare charts. (elast…
…ic#24852) Introduces a categorical/ordinal y axis for rare charts with a cardinality of <= 10. This also adds unit tests for the rare/population chart which are the bulk of the PR.
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x-pack/plugins/ml/public/explorer/explorer_charts/__mocks__/mock_chart_data_rare.js
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| /* | ||
| * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
| * or more contributor license agreements. Licensed under the Elastic License; | ||
| * you may not use this file except in compliance with the Elastic License. | ||
| */ | ||
|
|
||
| export const chartData = [ | ||
| { | ||
| date: 1487899800000, | ||
| entity: '200', | ||
| value: 1741.5652200000002 | ||
| }, | ||
| { | ||
| date: 1487899800000, | ||
| entity: '404', | ||
| value: 494.30564000000004 | ||
| }, | ||
| { | ||
| date: 1487899800000, | ||
| entity: '304', | ||
| value: 160.93672 | ||
| }, | ||
| { | ||
| date: 1487899800000, | ||
| entity: '301', | ||
| value: 57.4774 | ||
| }, | ||
| { | ||
| date: 1487837700000, | ||
| value: 42, | ||
| entity: '303', | ||
| anomalyScore: 84.08759, | ||
| actual: [ | ||
| 1 | ||
| ], | ||
| typical: [ | ||
| 0.00028318796131582025 | ||
| ] | ||
| } | ||
| ]; |
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162 changes: 162 additions & 0 deletions
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x-pack/plugins/ml/public/explorer/explorer_charts/explorer_chart_distribution.test.js
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| /* | ||
| * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
| * or more contributor license agreements. Licensed under the Elastic License; | ||
| * you may not use this file except in compliance with the Elastic License. | ||
| */ | ||
|
|
||
| import { chartData as mockChartData } from './__mocks__/mock_chart_data_rare'; | ||
| import seriesConfig from './__mocks__/mock_series_config_rare.json'; | ||
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|
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| // Mock TimeBuckets and mlFieldFormatService, they don't play well | ||
| // with the jest based test setup yet. | ||
| jest.mock('ui/time_buckets', () => ({ | ||
| TimeBuckets: function () { | ||
| this.setBounds = jest.fn(); | ||
| this.setInterval = jest.fn(); | ||
| this.getScaledDateFormat = jest.fn(); | ||
| } | ||
| })); | ||
| jest.mock('../../services/field_format_service', () => ({ | ||
| mlFieldFormatService: { | ||
| getFieldFormat: jest.fn() | ||
| } | ||
| })); | ||
| jest.mock('ui/chrome', () => ({ | ||
| getBasePath: (path) => path, | ||
| getUiSettingsClient: () => ({ | ||
| get: () => null | ||
| }), | ||
| })); | ||
|
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| import { mount } from 'enzyme'; | ||
| import React from 'react'; | ||
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| import { ExplorerChartDistribution } from './explorer_chart_distribution'; | ||
| import { chartLimits } from '../../util/chart_utils'; | ||
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| describe('ExplorerChart', () => { | ||
| const mlSelectSeverityServiceMock = { | ||
| state: { | ||
| get: () => ({ | ||
| val: '' | ||
| }) | ||
| } | ||
| }; | ||
|
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| const mockedGetBBox = { x: 0, y: -11.5, width: 12.1875, height: 14.5 }; | ||
| const originalGetBBox = SVGElement.prototype.getBBox; | ||
| beforeEach(() => SVGElement.prototype.getBBox = () => mockedGetBBox); | ||
| afterEach(() => (SVGElement.prototype.getBBox = originalGetBBox)); | ||
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| test('Initialize', () => { | ||
| const wrapper = mount(<ExplorerChartDistribution mlSelectSeverityService={mlSelectSeverityServiceMock} />); | ||
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| // without setting any attributes and corresponding data | ||
| // the directive just ends up being empty. | ||
| expect(wrapper.isEmptyRender()).toBeTruthy(); | ||
| expect(wrapper.find('.content-wrapper')).toHaveLength(0); | ||
| expect(wrapper.find('.ml-loading-indicator .loading-spinner')).toHaveLength(0); | ||
| }); | ||
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| test('Loading status active, no chart', () => { | ||
| const config = { | ||
| loading: true | ||
| }; | ||
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| const wrapper = mount(<ExplorerChartDistribution seriesConfig={config} mlSelectSeverityService={mlSelectSeverityServiceMock} />); | ||
|
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| // test if the loading indicator is shown | ||
| expect(wrapper.find('.ml-loading-indicator .loading-spinner')).toHaveLength(1); | ||
| }); | ||
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| // For the following tests the directive needs to be rendered in the actual DOM, | ||
| // because otherwise there wouldn't be a width available which would | ||
| // trigger SVG errors. We use a fixed width to be able to test for | ||
| // fine grained attributes of the chart. | ||
|
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| // basically a parameterized beforeEach | ||
| function init(chartData) { | ||
| const config = { | ||
| ...seriesConfig, | ||
| chartData, | ||
| chartLimits: chartLimits(chartData) | ||
| }; | ||
|
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| // We create the element including a wrapper which sets the width: | ||
| return mount( | ||
| <div style={{ width: '500px' }}> | ||
| <ExplorerChartDistribution seriesConfig={config} mlSelectSeverityService={mlSelectSeverityServiceMock} /> | ||
| </div> | ||
| ); | ||
| } | ||
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| it('Anomaly Explorer Chart with multiple data points', () => { | ||
| const wrapper = init(mockChartData); | ||
|
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| // the loading indicator should not be shown | ||
| expect(wrapper.find('.ml-loading-indicator .loading-spinner')).toHaveLength(0); | ||
|
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| // test if all expected elements are present | ||
| // need to use getDOMNode() because the chart is not rendered via react itself | ||
| const svg = wrapper.getDOMNode().getElementsByTagName('svg'); | ||
| expect(svg).toHaveLength(1); | ||
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| const lineChart = svg[0].getElementsByClassName('line-chart'); | ||
| expect(lineChart).toHaveLength(1); | ||
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| const rects = lineChart[0].getElementsByTagName('rect'); | ||
| expect(rects).toHaveLength(2); | ||
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| const chartBorder = rects[0]; | ||
| expect(+chartBorder.getAttribute('x')).toBe(0); | ||
| expect(+chartBorder.getAttribute('y')).toBe(0); | ||
| expect(+chartBorder.getAttribute('height')).toBe(170); | ||
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| const selectedInterval = rects[1]; | ||
| expect(selectedInterval.getAttribute('class')).toBe('selected-interval'); | ||
| expect(+selectedInterval.getAttribute('y')).toBe(2); | ||
| expect(+selectedInterval.getAttribute('height')).toBe(166); | ||
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| const xAxisTicks = wrapper.getDOMNode().querySelector('.x').querySelectorAll('.tick'); | ||
| expect([...xAxisTicks]).toHaveLength(0); | ||
| const yAxisTicks = wrapper.getDOMNode().querySelector('.y').querySelectorAll('.tick'); | ||
| expect([...yAxisTicks]).toHaveLength(5); | ||
| const emphasizedAxisLabel = wrapper.getDOMNode().querySelectorAll('.ml-explorer-chart-axis-emphasis'); | ||
| expect(emphasizedAxisLabel).toHaveLength(1); | ||
| expect(emphasizedAxisLabel[0].innerHTML).toBe('303'); | ||
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| const paths = wrapper.getDOMNode().querySelectorAll('path'); | ||
| expect(paths[0].getAttribute('class')).toBe('domain'); | ||
| expect(paths[1].getAttribute('class')).toBe('domain'); | ||
| expect(paths[2]).toBe(undefined); | ||
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| const dots = wrapper.getDOMNode().querySelector('.values-dots').querySelectorAll('circle'); | ||
| expect([...dots]).toHaveLength(5); | ||
| expect(dots[0].getAttribute('r')).toBe('1.5'); | ||
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| const chartMarkers = wrapper.getDOMNode().querySelector('.chart-markers').querySelectorAll('circle'); | ||
| expect([...chartMarkers]).toHaveLength(5); | ||
| expect([...chartMarkers].map(d => +d.getAttribute('r'))).toEqual([7, 7, 7, 7, 7]); | ||
| }); | ||
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| it('Anomaly Explorer Chart with single data point', () => { | ||
| const chartData = [ | ||
| { | ||
| date: 1487837700000, | ||
| value: 42, | ||
| entity: '303', | ||
| anomalyScore: 84.08759, | ||
| actual: [ | ||
| 1 | ||
| ], | ||
| typical: [ | ||
| 0.00028318796131582025 | ||
| ] | ||
| } | ||
| ]; | ||
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| const wrapper = init(chartData); | ||
| const yAxisTicks = wrapper.getDOMNode().querySelector('.y').querySelectorAll('.tick'); | ||
| expect([...yAxisTicks]).toHaveLength(1); | ||
| }); | ||
| }); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -118,3 +118,7 @@ | |
| .ml-explorer-chart-content-wrapper { | ||
| height: 215px; | ||
| } | ||
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| .ml-explorer-chart-axis-emphasis { | ||
| font-weight: bold; | ||
| } | ||