[ML] Stabilize anomaly chart embeddable tests (#99955)
Co-authored-by: Kibana Machine <42973632+kibanamachine@users.noreply.github.com>
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@ -35,46 +35,40 @@ export function MachineLearningDashboardEmbeddablesProvider(
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async assertSelectMaxSeriesToPlotValue(expectedValue: number) {
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const subj = 'mlAnomalyChartsInitializerMaxSeries';
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await testSubjects.existOrFail(subj);
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const input = await testSubjects.find(subj);
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const actualValue = await input.getAttribute('value');
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await retry.tryForTime(60 * 1000, async () => {
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await testSubjects.existOrFail(subj);
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const input = await testSubjects.find(subj);
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const actualValue = await input.getAttribute('value');
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expect(actualValue).to.eql(
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expectedValue,
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`Expected max series to plot value to be ${expectedValue}, got ${actualValue}`
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);
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},
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async assertPanelTitle(expectedValue: string) {
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const actualValue = await testSubjects.getAttribute('panelTitleInput', 'value');
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expect(actualValue).to.eql(
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expectedValue,
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`Panel title should be '${expectedValue}' (got '${actualValue}')`
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);
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},
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async setPanelTitle(panelTitle: string) {
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await mlCommonUI.setValueWithChecks('panelTitleInput', panelTitle, {
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clearWithKeyboard: true,
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expect(actualValue).to.eql(
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expectedValue,
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`Expected max series to plot value to be ${expectedValue}, got ${actualValue}`
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);
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});
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await this.assertPanelTitle(panelTitle);
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},
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async assertInitializerConfirmButtonEnabled() {
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const subj = 'mlAnomalyChartsInitializerConfirmButton';
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await testSubjects.existOrFail(subj);
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await testSubjects.isEnabled(subj);
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await retry.tryForTime(60 * 1000, async () => {
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await testSubjects.existOrFail(subj);
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await testSubjects.isEnabled(subj);
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});
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},
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async clickInitializerConfirmButtonEnabled() {
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const subj = 'mlAnomalyChartsInitializerConfirmButton';
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await this.assertInitializerConfirmButtonEnabled();
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await testSubjects.clickWhenNotDisabled(subj);
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await this.assertAnomalyChartsEmbeddableInitializerNotExists();
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await retry.tryForTime(60 * 1000, async () => {
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await this.assertInitializerConfirmButtonEnabled();
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await testSubjects.clickWhenNotDisabled(subj);
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await this.assertAnomalyChartsEmbeddableInitializerNotExists();
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});
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},
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async assertDashboardIsEmpty() {
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await testSubjects.existOrFail('emptyDashboardWidget');
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await retry.tryForTime(60 * 1000, async () => {
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await testSubjects.existOrFail('emptyDashboardWidget');
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});
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},
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async assertDashboardPanelExists(title: string) {
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@ -84,15 +78,21 @@ export function MachineLearningDashboardEmbeddablesProvider(
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},
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async assertAnomalyChartsSeverityThresholdControlExists() {
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await testSubjects.existOrFail(`mlAnomalySeverityThresholdControls`);
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await retry.tryForTime(60 * 1000, async () => {
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await testSubjects.existOrFail(`mlAnomalySeverityThresholdControls`);
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});
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},
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async assertNoMatchingAnomaliesMessageExists() {
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await testSubjects.existOrFail(`mlNoMatchingAnomaliesMessage`);
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await retry.tryForTime(60 * 1000, async () => {
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await testSubjects.existOrFail(`mlNoMatchingAnomaliesMessage`);
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});
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},
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async assertAnomalyChartsExists() {
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await testSubjects.existOrFail(`mlExplorerChartsContainer`);
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await retry.tryForTime(60 * 1000, async () => {
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await testSubjects.existOrFail(`mlExplorerChartsContainer`);
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});
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},
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async openJobSelectionFlyout() {
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