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[ML] Stabilize anomaly chart embeddable tests (#99955)

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Co-authored-by: Kibana Machine <42973632+kibanamachine@users.noreply.github.com>
This commit is contained in:
Quynh Nguyen 2021-05-12 13:15:52 -05:00 committed by GitHub
parent 6abce78d15
commit e99cfb5c0b
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GPG key ID: 4AEE18F83AFDEB23
1 changed files with 30 additions and 30 deletions
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60
x-pack/test/functional/services/ml/dashboard_embeddables.ts
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@ -35,46 +35,40 @@ export function MachineLearningDashboardEmbeddablesProvider(
async assertSelectMaxSeriesToPlotValue(expectedValue: number) {
const subj = 'mlAnomalyChartsInitializerMaxSeries';
await testSubjects.existOrFail(subj);
const input = await testSubjects.find(subj);
const actualValue = await input.getAttribute('value');
await retry.tryForTime(60 * 1000, async () => {
await testSubjects.existOrFail(subj);
const input = await testSubjects.find(subj);
const actualValue = await input.getAttribute('value');
expect(actualValue).to.eql(
expectedValue,
`Expected max series to plot value to be ${expectedValue}, got ${actualValue}`
);
},
async assertPanelTitle(expectedValue: string) {
const actualValue = await testSubjects.getAttribute('panelTitleInput', 'value');
expect(actualValue).to.eql(
expectedValue,
`Panel title should be '${expectedValue}' (got '${actualValue}')`
);
},
async setPanelTitle(panelTitle: string) {
await mlCommonUI.setValueWithChecks('panelTitleInput', panelTitle, {
clearWithKeyboard: true,
expect(actualValue).to.eql(
expectedValue,
`Expected max series to plot value to be ${expectedValue}, got ${actualValue}`
);
});
await this.assertPanelTitle(panelTitle);
},
async assertInitializerConfirmButtonEnabled() {
const subj = 'mlAnomalyChartsInitializerConfirmButton';
await testSubjects.existOrFail(subj);
await testSubjects.isEnabled(subj);
await retry.tryForTime(60 * 1000, async () => {
await testSubjects.existOrFail(subj);
await testSubjects.isEnabled(subj);
});
},
async clickInitializerConfirmButtonEnabled() {
const subj = 'mlAnomalyChartsInitializerConfirmButton';
await this.assertInitializerConfirmButtonEnabled();
await testSubjects.clickWhenNotDisabled(subj);
await this.assertAnomalyChartsEmbeddableInitializerNotExists();
await retry.tryForTime(60 * 1000, async () => {
await this.assertInitializerConfirmButtonEnabled();
await testSubjects.clickWhenNotDisabled(subj);
await this.assertAnomalyChartsEmbeddableInitializerNotExists();
});
},
async assertDashboardIsEmpty() {
await testSubjects.existOrFail('emptyDashboardWidget');
await retry.tryForTime(60 * 1000, async () => {
await testSubjects.existOrFail('emptyDashboardWidget');
});
},
async assertDashboardPanelExists(title: string) {
@ -84,15 +78,21 @@ export function MachineLearningDashboardEmbeddablesProvider(
},
async assertAnomalyChartsSeverityThresholdControlExists() {
await testSubjects.existOrFail(`mlAnomalySeverityThresholdControls`);
await retry.tryForTime(60 * 1000, async () => {
await testSubjects.existOrFail(`mlAnomalySeverityThresholdControls`);
});
},
async assertNoMatchingAnomaliesMessageExists() {
await testSubjects.existOrFail(`mlNoMatchingAnomaliesMessage`);
await retry.tryForTime(60 * 1000, async () => {
await testSubjects.existOrFail(`mlNoMatchingAnomaliesMessage`);
});
},
async assertAnomalyChartsExists() {
await testSubjects.existOrFail(`mlExplorerChartsContainer`);
await retry.tryForTime(60 * 1000, async () => {
await testSubjects.existOrFail(`mlExplorerChartsContainer`);
});
},
async openJobSelectionFlyout() {