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[ML] Memory usage: Functional tests #197415
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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 | ||
* 2.0; you may not use this file except in compliance with the Elastic License | ||
* 2.0. | ||
*/ | ||
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import { FtrConfigProviderContext } from '@kbn/test'; | ||
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export default async function ({ readConfigFile }: FtrConfigProviderContext) { | ||
const functionalConfig = await readConfigFile(require.resolve('../../../config.base.js')); | ||
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return { | ||
...functionalConfig.getAll(), | ||
testFiles: [require.resolve('.')], | ||
junit: { | ||
reportName: 'Chrome X-Pack UI Functional Tests - ML memory_usage', | ||
}, | ||
}; | ||
} |
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,33 @@ | ||
/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License | ||
* 2.0; you may not use this file except in compliance with the Elastic License | ||
* 2.0. | ||
*/ | ||
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import { FtrProviderContext } from '../../../ftr_provider_context'; | ||
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export default function ({ getService, loadTestFile }: FtrProviderContext) { | ||
const ml = getService('ml'); | ||
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describe('machine learning - overview page', function () { | ||
this.tags(['skipFirefox']); | ||
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before(async () => { | ||
await ml.securityCommon.createMlRoles(); | ||
await ml.securityCommon.createMlUsers(); | ||
await ml.securityUI.loginAsMlPowerUser(); | ||
}); | ||
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after(async () => { | ||
await ml.securityUI.logout(); | ||
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await ml.securityCommon.cleanMlUsers(); | ||
await ml.securityCommon.cleanMlRoles(); | ||
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await ml.testResources.resetKibanaTimeZone(); | ||
}); | ||
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loadTestFile(require.resolve('./memory_usage_page')); | ||
}); | ||
} |
72 changes: 72 additions & 0 deletions
72
x-pack/test/functional/apps/ml/memory_usage/memory_usage_page.ts
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,72 @@ | ||
/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License | ||
* 2.0; you may not use this file except in compliance with the Elastic License | ||
* 2.0. | ||
*/ | ||
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import { FtrProviderContext } from '../../../ftr_provider_context'; | ||
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export default function ({ getService }: FtrProviderContext) { | ||
const ml = getService('ml'); | ||
const esArchiver = getService('esArchiver'); | ||
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const jobId = 'sample_job'; | ||
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describe('ML memory usage page', function () { | ||
this.tags(['ml']); | ||
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before(async () => { | ||
await esArchiver.loadIfNeeded('x-pack/test/functional/es_archives/ml/farequote'); | ||
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const jobConfig = ml.commonConfig.getADFqSingleMetricJobConfig(jobId); | ||
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// Create and open AD job | ||
await ml.api.createAnomalyDetectionJob(jobConfig); | ||
await ml.api.openAnomalyDetectionJob(jobId); | ||
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await ml.navigation.navigateToMl(); | ||
await ml.navigation.navigateToMemoryUsage(); | ||
}); | ||
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after(async () => { | ||
await ml.api.closeAnomalyDetectionJob(jobId); | ||
await ml.api.cleanMlIndices(); | ||
}); | ||
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it('opens page with nodes tab selected', async () => { | ||
await ml.memoryUsage.assertMemoryUsageTabIsSelected('nodes'); | ||
}); | ||
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it('allows sorting', async () => { | ||
await ml.memoryUsage.sortColumn('tableHeaderCell_name_1'); | ||
await ml.memoryUsage.assertColumnIsSorted('tableHeaderCell_name_1', 'descending'); | ||
}); | ||
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it('allows searching for a node', async () => { | ||
await ml.memoryUsage.searchForNode('ftr'); | ||
await ml.memoryUsage.assertRowCount(1); | ||
}); | ||
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it('expands node details and displays memory usage details', async () => { | ||
await ml.memoryUsage.expandRow(); | ||
await ml.memoryUsage.assertNodeExpandedDetailsPanelsExist(); | ||
await ml.memoryUsage.selectNodeExpandedRowTab('mlNodesOverviewPanelMemoryTab'); | ||
await ml.memoryUsage.assertChartItemsSelectedByDefault(); | ||
await ml.memoryUsage.assertTreeChartExists(); | ||
}); | ||
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it('clears selected chart items', async () => { | ||
await ml.memoryUsage.clearSelectedChartItems(); | ||
await ml.memoryUsage.assertEmptyTreeChartExists(); | ||
}); | ||
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it('selects memory usage tab and displays chart', async () => { | ||
await ml.memoryUsage.selectTab('memory-usage'); | ||
await ml.memoryUsage.assertTreeChartExists(); | ||
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await ml.memoryUsage.clearSelectedChartItems(); | ||
await ml.memoryUsage.assertEmptyTreeChartExists(); | ||
}); | ||
}); | ||
} |
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,107 @@ | ||
/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License | ||
* 2.0; you may not use this file except in compliance with the Elastic License | ||
* 2.0. | ||
*/ | ||
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import expect from '@kbn/expect'; | ||
import { FtrProviderContext } from '../../ftr_provider_context'; | ||
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export function MachineLearningMemoryUsageProvider({ getService }: FtrProviderContext) { | ||
const testSubjects = getService('testSubjects'); | ||
const comboBox = getService('comboBox'); | ||
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return { | ||
async assertNodeExpandedDetailsPanelsExist() { | ||
await testSubjects.existOrFail('mlNodesTableRowDetailsPanel'); | ||
await testSubjects.existOrFail('mlNodesTableRowDetailsAttributesPanel'); | ||
}, | ||
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async assertTabIsSelected(tabName: string) { | ||
await testSubjects.existOrFail(`mlNodesOverviewPanel ${tabName}Tab`); | ||
}, | ||
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async selectTab(tabName: string) { | ||
await testSubjects.click(`mlMemoryUsageTab-${tabName}`); | ||
}, | ||
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async assertMemoryUsageTabsExist() { | ||
await testSubjects.existOrFail('mlMemoryUsageTabs'); | ||
}, | ||
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async assertMemoryUsageTabIsSelected(tabName: string) { | ||
const isSelected = await testSubjects.getAttribute( | ||
`mlMemoryUsageTab-${tabName}`, | ||
'aria-selected' | ||
); | ||
expect(isSelected).to.eql('true'); | ||
}, | ||
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async assertRowCount(expectedCount: number) { | ||
const rowCount = await this.getRowCount(); | ||
expect(rowCount).to.eql(expectedCount); | ||
}, | ||
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async getAllRows() { | ||
return await testSubjects.findAll('~mlNodesTableRow'); | ||
}, | ||
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async expandRow() { | ||
await testSubjects.click('mlNodesTableRowDetailsToggle'); | ||
}, | ||
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async getRowCount() { | ||
const rows = await this.getAllRows(); | ||
return rows.length; | ||
}, | ||
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async assertColumnHeaderExists(columnName: string) { | ||
await testSubjects.existOrFail(columnName); | ||
}, | ||
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async assertColumnIsSorted(columnName: string, sortDirection: 'ascending' | 'descending') { | ||
const sorted = await testSubjects.getAttribute(columnName, 'aria-sort'); | ||
expect(sorted).to.eql(sortDirection); | ||
}, | ||
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async sortColumn(columnName: string) { | ||
await this.assertColumnHeaderExists(columnName); | ||
await testSubjects.click(columnName); | ||
}, | ||
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async assertSearchBarExists() { | ||
await testSubjects.existOrFail('mlNodesTableSearchInput'); | ||
}, | ||
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async searchForNode(nodeId: string) { | ||
await this.assertSearchBarExists(); | ||
await testSubjects.setValue('mlNodesTableSearchInput', nodeId); | ||
}, | ||
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async selectNodeExpandedRowTab(tabName: string) { | ||
await testSubjects.click(tabName); | ||
}, | ||
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async clearSelectedChartItems() { | ||
await comboBox.clear('~mlJobTreeMap > mlJobTreeMapComboBox'); | ||
}, | ||
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async getSelectedChartItems() { | ||
return await comboBox.getComboBoxSelectedOptions('~mlJobTreeMap > comboBoxInput'); | ||
}, | ||
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async assertChartItemsSelectedByDefault() { | ||
const selectedOptions = await this.getSelectedChartItems(); | ||
expect(selectedOptions.length).to.be.greaterThan(0); | ||
}, | ||
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async assertTreeChartExists() { | ||
await testSubjects.existOrFail('mlJobTreeMap withData'); | ||
}, | ||
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async assertEmptyTreeChartExists() { | ||
await testSubjects.existOrFail('mlJobTreeMap empty'); | ||
}, | ||
}; | ||
} |
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Is it worth adding a step where you leave just the Anomaly Detection Job item and assert the tree chart exists, before clearing all?
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Hmm, I'm not sure what you mean exactly.
This test is responsible for ensuring that the chart is displayed properly in the
memory usage
tab.Then, it clears the combo box and checks if the chart displays an empty state.
The same thing was done earlier, but for a chart inside an expanded row of a particular node.
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Don't worry. I was thinking we could do a click on the DFA and Trained model items above the chart to get it into this state, but probably not worth the effort as there is only 1 AD job in this case.