[ML] Add functional tests for analytics UI: creation addition and regression/outlier results

x-pack/legacy/plugins/ml/public/application/data_frame_analytics/pages/analytics_exploration/components/exploration/exploration.tsx

@@ -453,7 +453,7 @@ export const Exploration: FC<Props> = React.memo(({ jobId, jobStatus }) => {
  const MlInMemoryTableBasic = mlInMemoryTableBasicFactory<TableItem>();
 
  return (
- <EuiPanel grow={false}>
+ <EuiPanel grow={false} data-test-subj="mlDFAnalyticsOutlierExplorationTablePanel">
  <EuiFlexGroup alignItems="center" justifyContent="spaceBetween" responsive={false}>
  <EuiFlexItem grow={false}>
  <EuiFlexGroup gutterSize="s">

x-pack/legacy/plugins/ml/public/application/data_frame_analytics/pages/analytics_exploration/components/regression_exploration/evaluate_panel.tsx

@@ -229,7 +229,7 @@ export const EvaluatePanel: FC<Props> = ({ jobConfig, jobStatus, searchQuery })
  }, [JSON.stringify(searchQuery)]);
 
  return (
- <EuiPanel>
+ <EuiPanel data-test-subj="mlDFAnalyticsRegressionExplorationEvaluatePanel">
  <EuiFlexGroup alignItems="center" justifyContent="spaceBetween">
  <EuiFlexItem grow={false}>
  <EuiTitle size="xs">
@@ -296,13 +296,15 @@ export const EvaluatePanel: FC<Props> = ({ jobConfig, jobStatus, searchQuery })
  <Fragment>
  <EuiFlexItem>
  <EvaluateStat
+ dataTestSubj={'mlDFAnalyticsRegressionGenMSEstat'}
  isLoading={isLoadingGeneralization}
  title={generalizationEval.meanSquaredError}
  isMSE
  />
  </EuiFlexItem>
  <EuiFlexItem>
  <EvaluateStat
+ dataTestSubj={'mlDFAnalyticsRegressionGenRSquaredStat'}
  isLoading={isLoadingGeneralization}
  title={generalizationEval.rSquared}
  isMSE={false}
@@ -339,13 +341,15 @@ export const EvaluatePanel: FC<Props> = ({ jobConfig, jobStatus, searchQuery })
  <Fragment>
  <EuiFlexItem>
  <EvaluateStat
+ dataTestSubj={'mlDFAnalyticsRegressionTrainingMSEstat'}
  isLoading={isLoadingTraining}
  title={trainingEval.meanSquaredError}
  isMSE
  />
  </EuiFlexItem>
  <EuiFlexItem>
  <EvaluateStat
+ dataTestSubj={'mlDFAnalyticsRegressionTrainingRSquaredStat'}
  isLoading={isLoadingTraining}
  title={trainingEval.rSquared}
  isMSE={false}

x-pack/legacy/plugins/ml/public/application/data_frame_analytics/pages/analytics_exploration/components/regression_exploration/evaluate_stat.tsx

@@ -12,6 +12,7 @@ interface Props {
  isLoading: boolean;
  title: number | string;
  isMSE: boolean;
+ dataTestSubj: string;
 }
 
 const meanSquaredErrorText = i18n.translate(
@@ -41,8 +42,8 @@ const rSquaredTooltipContent = i18n.translate(
  }
 );
 
-export const EvaluateStat: FC<Props> = ({ isLoading, isMSE, title }) => (
- <EuiFlexGroup gutterSize="xs">
+export const EvaluateStat: FC<Props> = ({ isLoading, isMSE, title, dataTestSubj }) => (
+ <EuiFlexGroup gutterSize="xs" data-test-subj={dataTestSubj}>
  <EuiFlexItem grow={false}>
  <EuiStat
  reverse

x-pack/legacy/plugins/ml/public/application/data_frame_analytics/pages/analytics_exploration/components/regression_exploration/results_table.tsx

@@ -401,7 +401,7 @@ export const ResultsTable: FC<Props> = React.memo(
  : searchError;
 
  return (
- <EuiPanel grow={false}>
+ <EuiPanel grow={false} data-test-subj="mlDFAnalyticsRegressionExplorationTablePanel">
  <EuiFlexGroup alignItems="center" justifyContent="spaceBetween" responsive={false}>
  <EuiFlexItem grow={false}>
  <EuiFlexGroup gutterSize="s">
@@ -461,6 +461,7 @@ export const ResultsTable: FC<Props> = React.memo(
  {docFields.map(({ name }) => (
  <EuiCheckbox
  id={name}
+ key={name}
  label={name}
  checked={selectedFields.some(field => field.name === name)}
  onChange={() => toggleColumn(name)}

x-pack/legacy/plugins/ml/public/application/data_frame_analytics/pages/analytics_management/components/analytics_list/actions.tsx

@@ -47,7 +47,7 @@ export const AnalyticsViewAction = {
  aria-label={i18n.translate('xpack.ml.dataframe.analyticsList.viewAriaLabel', {
  defaultMessage: 'View',
  })}
- data-test-sub="mlAnalyticsJobViewButton"
+ data-test-subj="mlAnalyticsJobViewButton"
  >
  {i18n.translate('xpack.ml.dataframe.analyticsList.viewActionName', {
  defaultMessage: 'View',

x-pack/legacy/plugins/ml/public/application/data_frame_analytics/pages/analytics_management/components/analytics_list/columns.tsx

@@ -191,6 +191,7 @@ export const getColumns = (
  }),
  sortable: true,
  truncateText: true,
+ 'data-test-subj': 'mlAnalyticsTableColumnJobDescription',
  },
  {
  field: DataFrameAnalyticsListColumn.configSourceIndex,

x-pack/test/functional/apps/machine_learning/data_frame_analytics/outlier_detection_creation.ts

@@ -27,6 +27,7 @@ export default function({ getService }: FtrProviderContext) {
  suiteTitle: 'iowa house prices',
  jobType: 'outlier_detection',
  jobId: `ihp_1_${Date.now()}`,
+ jobDescription: 'This is the job description',
  source: 'ihp_outlier',
  get destinationIndex(): string {
  return `dest_${this.jobId}`;
@@ -76,6 +77,11 @@ export default function({ getService }: FtrProviderContext) {
  await ml.dataFrameAnalyticsCreation.setJobId(testData.jobId);
  });
 
+ it('inputs the job description', async () => {
+ await ml.dataFrameAnalyticsCreation.assertJobDescriptionInputExists();
+ await ml.dataFrameAnalyticsCreation.setJobDescription(testData.jobDescription);
+ });
+
  it('selects the source index', async () => {
  await ml.dataFrameAnalyticsCreation.assertSourceIndexInputExists();
  await ml.dataFrameAnalyticsCreation.selectSourceIndex(testData.source);
@@ -139,6 +145,7 @@ export default function({ getService }: FtrProviderContext) {
  it('displays details for the created job in the analytics table', async () => {
  await ml.dataFrameAnalyticsTable.assertAnalyticsRowFields(testData.jobId, {
  id: testData.jobId,
+ description: testData.jobDescription,
  sourceIndex: testData.source,
  destinationIndex: testData.destinationIndex,
  type: testData.expected.row.type,
@@ -151,6 +158,11 @@ export default function({ getService }: FtrProviderContext) {
  await ml.api.assertIndicesExist(testData.destinationIndex);
  await ml.api.assertIndicesNotEmpty(testData.destinationIndex);
  });
+
+ it('displays the results view for created job', async () => {
+ await ml.dataFrameAnalyticsTable.openResultsView();
+ await ml.dataFrameAnalytics.assertOutlierTablePanelExists();
+ });
  });
  }
  });

x-pack/test/functional/apps/machine_learning/data_frame_analytics/regression_creation.ts

@@ -27,6 +27,7 @@ export default function({ getService }: FtrProviderContext) {
  suiteTitle: 'electrical grid stability',
  jobType: 'regression',
  jobId: `egs_1_${Date.now()}`,
+ jobDescription: 'This is the job description',
  source: 'egs_regression',
  get destinationIndex(): string {
  return `dest_${this.jobId}`;
@@ -70,6 +71,11 @@ export default function({ getService }: FtrProviderContext) {
  await ml.dataFrameAnalyticsCreation.setJobId(testData.jobId);
  });
 
+ it('inputs the job description', async () => {
+ await ml.dataFrameAnalyticsCreation.assertJobDescriptionInputExists();
+ await ml.dataFrameAnalyticsCreation.setJobDescription(testData.jobDescription);
+ });
+
  it('selects the source index', async () => {
  await ml.dataFrameAnalyticsCreation.assertSourceIndexInputExists();
  await ml.dataFrameAnalyticsCreation.selectSourceIndex(testData.source);
@@ -143,6 +149,7 @@ export default function({ getService }: FtrProviderContext) {
  it('displays details for the created job in the analytics table', async () => {
  await ml.dataFrameAnalyticsTable.assertAnalyticsRowFields(testData.jobId, {
  id: testData.jobId,
+ description: testData.jobDescription,
  sourceIndex: testData.source,
  destinationIndex: testData.destinationIndex,
  type: testData.expected.row.type,
@@ -155,6 +162,12 @@ export default function({ getService }: FtrProviderContext) {
  await ml.api.assertIndicesExist(testData.destinationIndex);
  await ml.api.assertIndicesNotEmpty(testData.destinationIndex);
  });
+
+ it('displays the results view for created job', async () => {
+ await ml.dataFrameAnalyticsTable.openResultsView();
+ await ml.dataFrameAnalytics.assertRegressionEvaluatePanelElementsExists();
+ await ml.dataFrameAnalytics.assertRegressionTablePanelExists();
+ });
  });
  }
  });

x-pack/test/functional/services/machine_learning/data_frame_analytics.ts

@@ -32,6 +32,22 @@ export function MachineLearningDataFrameAnalyticsProvider(
  await testSubjects.existOrFail('mlAnalyticsButtonCreate');
  },
 
+ async assertRegressionEvaluatePanelElementsExists() {
+ await testSubjects.existOrFail('mlDFAnalyticsRegressionExplorationEvaluatePanel');
+ await testSubjects.existOrFail('mlDFAnalyticsRegressionGenMSEstat');
+ await testSubjects.existOrFail('mlDFAnalyticsRegressionGenRSquaredStat');
+ await testSubjects.existOrFail('mlDFAnalyticsRegressionTrainingMSEstat');
+ await testSubjects.existOrFail('mlDFAnalyticsRegressionTrainingRSquaredStat');
+ },
+
+ async assertRegressionTablePanelExists() {
+ await testSubjects.existOrFail('mlDFAnalyticsRegressionExplorationTablePanel');
+ },
+
+ async assertOutlierTablePanelExists() {
+ await testSubjects.existOrFail('mlDFAnalyticsOutlierExplorationTablePanel');
+ },
+
  async assertAnalyticsStatsBarExists() {
  await testSubjects.existOrFail('mlAnalyticsStatsBar');
  },

x-pack/test/functional/services/machine_learning/data_frame_analytics_creation.ts

@@ -58,6 +58,10 @@ export function MachineLearningDataFrameAnalyticsCreationProvider({
  await testSubjects.existOrFail('mlAnalyticsCreateJobFlyoutJobIdInput');
  },
 
+ async assertJobDescriptionInputExists() {
+ await testSubjects.existOrFail('mlDFAnalyticsJobCreationJobDescription');
+ },
+
  async assertJobIdValue(expectedValue: string) {
  const actualJobId = await testSubjects.getAttribute(
  'mlAnalyticsCreateJobFlyoutJobIdInput',
@@ -69,13 +73,31 @@ export function MachineLearningDataFrameAnalyticsCreationProvider({
  );
  },
 
+ async assertJobDescriptionValue(expectedValue: string) {
+ const actualJobDescription = await testSubjects.getAttribute(
+ 'mlDFAnalyticsJobCreationJobDescription',
+ 'value'
+ );
+ expect(actualJobDescription).to.eql(
+ expectedValue,
+ `Job description should be '${expectedValue}' (got '${actualJobDescription}')`
+ );
+ },
+
  async setJobId(jobId: string) {
  await testSubjects.setValue('mlAnalyticsCreateJobFlyoutJobIdInput', jobId, {
  clearWithKeyboard: true,
  });
  await this.assertJobIdValue(jobId);
  },
 
+ async setJobDescription(jobDescription: string) {
+ await testSubjects.setValue('mlDFAnalyticsJobCreationJobDescription', jobDescription, {
+ clearWithKeyboard: true,
+ });
+ await this.assertJobDescriptionValue(jobDescription);
+ },
+
  async assertSourceIndexInputExists() {
  await testSubjects.existOrFail('mlAnalyticsCreateJobFlyoutSourceIndexSelect > comboBoxInput');
  },

x-pack/test/functional/services/machine_learning/data_frame_analytics_table.ts

@@ -26,6 +26,11 @@ export function MachineLearningDataFrameAnalyticsTableProvider({ getService }: F
  .find('.euiTableCellContent')
  .text()
  .trim(),
+ description: $tr
+ .findTestSubject('mlAnalyticsTableColumnJobDescription')
+ .find('.euiTableCellContent')
+ .text()
+ .trim(),
  sourceIndex: $tr
  .findTestSubject('mlAnalyticsTableColumnSourceIndex')
  .find('.euiTableCellContent')
@@ -71,6 +76,10 @@ export function MachineLearningDataFrameAnalyticsTableProvider({ getService }: F
  return await tableListContainer.findByClassName('euiFieldSearch');
  }
 
+ async assertJobViewButtonExists() {
+ await testSubjects.existOrFail('mlAnalyticsJobViewButton');
+ }
+
  async assertAnalyticsSearchInputValue(expectedSearchValue: string) {
  const searchBarInput = await this.getAnalyticsSearchInput();
  const actualSearchValue = await searchBarInput.getAttribute('value');
@@ -80,6 +89,12 @@ export function MachineLearningDataFrameAnalyticsTableProvider({ getService }: F
  );
  }
 
+ public async openResultsView() {
+ await this.assertJobViewButtonExists();
+ await testSubjects.click('mlAnalyticsJobViewButton');
+ await testSubjects.existOrFail('mlPageDataFrameAnalyticsExploration', { timeout: 5000 });
+ }
+
  public async filterWithSearchString(filter: string) {
  await this.waitForAnalyticsToLoad();
  const searchBarInput = await this.getAnalyticsSearchInput();