[ML] DF Analytics: adds functional tests for edit form

x-pack/plugins/ml/public/application/data_frame_analytics/pages/analytics_management/components/action_edit/edit_button_flyout.tsx

@@ -133,7 +133,7 @@ export const EditButtonFlyout: FC<Required<EditAction>> = ({ closeFlyout, item }
         onClose={closeFlyout}
         hideCloseButton
         aria-labelledby="analyticsEditFlyoutTitle"
-        data-test-subj="analyticsEditFlyout"
+        data-test-subj="mlAnalyticsEditFlyout"
       >
         <EuiFlyoutHeader hasBorder>
           <EuiTitle size="m">
@@ -297,7 +297,7 @@ export const EditButtonFlyout: FC<Required<EditAction>> = ({ closeFlyout, item }
             </EuiFlexItem>
             <EuiFlexItem grow={false}>
               <EuiButton
-                data-test-subj="analyticsEditFlyoutUpdateButton"
+                data-test-subj="mlAnalyticsEditFlyoutUpdateButton"
                 onClick={onSubmit}
                 fill
                 isDisabled={updateButtonDisabled}

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

@@ -258,6 +258,7 @@ export const useColumns = (
       }),
       actions,
       width: isManagementTable === true ? '100px' : '150px',
+      'data-test-subj': 'mlAnalyticsTableColumnActions',
     },
   ];
 

x-pack/test/functional/apps/ml/data_frame_analytics/classification_creation.ts

@@ -10,6 +10,7 @@ import { FtrProviderContext } from '../../../ftr_provider_context';
 export default function ({ getService }: FtrProviderContext) {
   const esArchiver = getService('esArchiver');
   const ml = getService('ml');
+  const editedDescription = 'Edited description';
 
   describe('classification creation', function () {
     before(async () => {
@@ -179,6 +180,36 @@ export default function ({ getService }: FtrProviderContext) {
           });
         });
 
+        it('should open the edit form for the created job in the analytics table', async () => {
+          await ml.dataFrameAnalyticsTable.openEditFlyout(testData.jobId);
+        });
+
+        it('should input the description in the edit form', async () => {
+          await ml.dataFrameAnalyticsEdit.assertJobDescriptionEditInputExists();
+          await ml.dataFrameAnalyticsEdit.setJobDescriptionEdit(editedDescription);
+        });
+
+        it('should input the model memory limit in the edit form', async () => {
+          await ml.dataFrameAnalyticsEdit.assertJobMmlEditInputExists();
+          await ml.dataFrameAnalyticsEdit.setJobMmlEdit('21mb');
+        });
+
+        it('should submit the edit job form', async () => {
+          await ml.dataFrameAnalyticsEdit.updateAnalyticsJob();
+        });
+
+        it('displays details for the edited job in the analytics table', async () => {
+          await ml.dataFrameAnalyticsTable.assertAnalyticsRowFields(testData.jobId, {
+            id: testData.jobId,
+            description: editedDescription,
+            sourceIndex: testData.source,
+            destinationIndex: testData.destinationIndex,
+            type: testData.expected.row.type,
+            status: testData.expected.row.status,
+            progress: testData.expected.row.progress,
+          });
+        });
+
         it('creates the destination index and writes results to it', async () => {
           await ml.api.assertIndicesExist(testData.destinationIndex);
           await ml.api.assertIndicesNotEmpty(testData.destinationIndex);

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

@@ -10,6 +10,7 @@ import { FtrProviderContext } from '../../../ftr_provider_context';
 export default function ({ getService }: FtrProviderContext) {
   const esArchiver = getService('esArchiver');
   const ml = getService('ml');
+  const editedDescription = 'Edited description';
 
   describe('outlier detection creation', function () {
     before(async () => {
@@ -197,6 +198,36 @@ export default function ({ getService }: FtrProviderContext) {
           });
         });
 
+        it('should open the edit form for the created job in the analytics table', async () => {
+          await ml.dataFrameAnalyticsTable.openEditFlyout(testData.jobId);
+        });
+
+        it('should input the description in the edit form', async () => {
+          await ml.dataFrameAnalyticsEdit.assertJobDescriptionEditInputExists();
+          await ml.dataFrameAnalyticsEdit.setJobDescriptionEdit(editedDescription);
+        });
+
+        it('should input the model memory limit in the edit form', async () => {
+          await ml.dataFrameAnalyticsEdit.assertJobMmlEditInputExists();
+          await ml.dataFrameAnalyticsEdit.setJobMmlEdit('21mb');
+        });
+
+        it('should submit the edit job form', async () => {
+          await ml.dataFrameAnalyticsEdit.updateAnalyticsJob();
+        });
+
+        it('displays details for the edited job in the analytics table', async () => {
+          await ml.dataFrameAnalyticsTable.assertAnalyticsRowFields(testData.jobId, {
+            id: testData.jobId,
+            description: editedDescription,
+            sourceIndex: testData.source,
+            destinationIndex: testData.destinationIndex,
+            type: testData.expected.row.type,
+            status: testData.expected.row.status,
+            progress: testData.expected.row.progress,
+          });
+        });
+
         it('creates the destination index and writes results to it', async () => {
           await ml.api.assertIndicesExist(testData.destinationIndex);
           await ml.api.assertIndicesNotEmpty(testData.destinationIndex);

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

@@ -10,6 +10,7 @@ import { FtrProviderContext } from '../../../ftr_provider_context';
 export default function ({ getService }: FtrProviderContext) {
   const esArchiver = getService('esArchiver');
   const ml = getService('ml');
+  const editedDescription = 'Edited description';
 
   describe('regression creation', function () {
     before(async () => {
@@ -179,6 +180,36 @@ export default function ({ getService }: FtrProviderContext) {
           });
         });
 
+        it('should open the edit form for the created job in the analytics table', async () => {
+          await ml.dataFrameAnalyticsTable.openEditFlyout(testData.jobId);
+        });
+
+        it('should input the description in the edit form', async () => {
+          await ml.dataFrameAnalyticsEdit.assertJobDescriptionEditInputExists();
+          await ml.dataFrameAnalyticsEdit.setJobDescriptionEdit(editedDescription);
+        });
+
+        it('should input the model memory limit in the edit form', async () => {
+          await ml.dataFrameAnalyticsEdit.assertJobMmlEditInputExists();
+          await ml.dataFrameAnalyticsEdit.setJobMmlEdit('21mb');
+        });
+
+        it('should submit the edit job form', async () => {
+          await ml.dataFrameAnalyticsEdit.updateAnalyticsJob();
+        });
+
+        it('displays details for the edited job in the analytics table', async () => {
+          await ml.dataFrameAnalyticsTable.assertAnalyticsRowFields(testData.jobId, {
+            id: testData.jobId,
+            description: editedDescription,
+            sourceIndex: testData.source,
+            destinationIndex: testData.destinationIndex,
+            type: testData.expected.row.type,
+            status: testData.expected.row.status,
+            progress: testData.expected.row.progress,
+          });
+        });
+
         it('creates the destination index and writes results to it', async () => {
           await ml.api.assertIndicesExist(testData.destinationIndex);
           await ml.api.assertIndicesNotEmpty(testData.destinationIndex);

x-pack/test/functional/services/ml/data_frame_analytics_edit.ts

@@ -0,0 +1,71 @@
+/*
+ * 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 expect from '@kbn/expect';
+
+import { FtrProviderContext } from '../../ftr_provider_context';
+import { MlCommon } from './common';
+
+export function MachineLearningDataFrameAnalyticsEditProvider(
+  { getService }: FtrProviderContext,
+  mlCommon: MlCommon
+) {
+  const testSubjects = getService('testSubjects');
+  const retry = getService('retry');
+
+  return {
+    async assertJobDescriptionEditInputExists() {
+      await testSubjects.existOrFail('mlAnalyticsEditFlyoutDescriptionInput');
+    },
+    async assertJobDescriptionEditValue(expectedValue: string) {
+      const actualJobDescription = await testSubjects.getAttribute(
+        'mlAnalyticsEditFlyoutDescriptionInput',
+        'value'
+      );
+      expect(actualJobDescription).to.eql(
+        expectedValue,
+        `Job description edit should be '${expectedValue}' (got '${actualJobDescription}')`
+      );
+    },
+    async assertJobMmlEditInputExists() {
+      await testSubjects.existOrFail('mlAnalyticsEditFlyoutmodelMemoryLimitInput');
+    },
+    async assertJobMmlEditValue(expectedValue: string) {
+      const actualMml = await testSubjects.getAttribute(
+        'mlAnalyticsEditFlyoutmodelMemoryLimitInput',
+        'value'
+      );
+      expect(actualMml).to.eql(
+        expectedValue,
+        `Job model memory limit edit should be '${expectedValue}' (got '${actualMml}')`
+      );
+    },
+    async setJobDescriptionEdit(jobDescription: string) {
+      await mlCommon.setValueWithChecks('mlAnalyticsEditFlyoutDescriptionInput', jobDescription, {
+        clearWithKeyboard: true,
+      });
+      await this.assertJobDescriptionEditValue(jobDescription);
+    },
+
+    async setJobMmlEdit(mml: string) {
+      await mlCommon.setValueWithChecks('mlAnalyticsEditFlyoutmodelMemoryLimitInput', mml, {
+        clearWithKeyboard: true,
+      });
+      await this.assertJobMmlEditValue(mml);
+    },
+
+    async assertAnalyticsEditFlyoutMissing() {
+      await testSubjects.missingOrFail('mlAnalyticsEditFlyout');
+    },
+
+    async updateAnalyticsJob() {
+      await testSubjects.existOrFail('mlAnalyticsEditFlyoutUpdateButton');
+      await testSubjects.click('mlAnalyticsEditFlyoutUpdateButton');
+      await retry.tryForTime(5000, async () => {
+        await this.assertAnalyticsEditFlyoutMissing();
+      });
+    },
+  };
+}

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

@@ -88,6 +88,12 @@ export function MachineLearningDataFrameAnalyticsTableProvider({ getService }: F
       await testSubjects.existOrFail('mlAnalyticsJobViewButton');
     }
 
+    public async openEditFlyout(analyticsId: string) {
+      await this.openRowActions(analyticsId);
+      await testSubjects.click('mlAnalyticsJobEditButton');
+      await testSubjects.existOrFail('mlAnalyticsEditFlyout', { timeout: 5000 });
+    }
+
     async assertAnalyticsSearchInputValue(expectedSearchValue: string) {
       const searchBarInput = await this.getAnalyticsSearchInput();
       const actualSearchValue = await searchBarInput.getAttribute('value');

x-pack/test/functional/services/ml/index.ts

@@ -13,6 +13,7 @@ import { MachineLearningCommonProvider } from './common';
 import { MachineLearningCustomUrlsProvider } from './custom_urls';
 import { MachineLearningDataFrameAnalyticsProvider } from './data_frame_analytics';
 import { MachineLearningDataFrameAnalyticsCreationProvider } from './data_frame_analytics_creation';
+import { MachineLearningDataFrameAnalyticsEditProvider } from './data_frame_analytics_edit';
 import { MachineLearningDataFrameAnalyticsTableProvider } from './data_frame_analytics_table';
 import { MachineLearningDataVisualizerProvider } from './data_visualizer';
 import { MachineLearningDataVisualizerFileBasedProvider } from './data_visualizer_file_based';
@@ -47,6 +48,7 @@ export function MachineLearningProvider(context: FtrProviderContext) {
     common,
     api
   );
+  const dataFrameAnalyticsEdit = MachineLearningDataFrameAnalyticsEditProvider(context, common);
   const dataFrameAnalyticsTable = MachineLearningDataFrameAnalyticsTableProvider(context);
   const dataVisualizer = MachineLearningDataVisualizerProvider(context);
   const dataVisualizerFileBased = MachineLearningDataVisualizerFileBasedProvider(context, common);
@@ -76,6 +78,7 @@ export function MachineLearningProvider(context: FtrProviderContext) {
     customUrls,
     dataFrameAnalytics,
     dataFrameAnalyticsCreation,
+    dataFrameAnalyticsEdit,
     dataFrameAnalyticsTable,
     dataVisualizer,
     dataVisualizerFileBased,