[ML] Trained models: Improves UX for deploy action

src/platform/packages/shared/kbn-unsaved-changes-prompt/src/unsaved_changes_prompt/unsaved_changes_prompt.test.tsx

@@ -27,15 +27,18 @@ const navigateToUrl = jest.fn().mockImplementation(async (url) => {
 describe('useUnsavedChangesPrompt', () => {
   let addSpy: jest.SpiedFunction<Window['addEventListener']>;
   let removeSpy: jest.SpiedFunction<Window['removeEventListener']>;
+  let blockSpy: jest.SpiedFunction<CoreScopedHistory['block']>;
 
   beforeEach(() => {
     addSpy = jest.spyOn(window, 'addEventListener');
     removeSpy = jest.spyOn(window, 'removeEventListener');
+    blockSpy = jest.spyOn(history, 'block');
   });
 
   afterEach(() => {
     addSpy.mockRestore();
     removeSpy.mockRestore();
+    blockSpy.mockRestore();
     jest.resetAllMocks();
   });
 
@@ -97,4 +100,23 @@ describe('useUnsavedChangesPrompt', () => {
     expect(addSpy).toBeCalledWith('beforeunload', expect.anything());
     expect(removeSpy).toBeCalledWith('beforeunload', expect.anything());
   });
+
+  it('should not block SPA navigation if blockSpaNavigation is false', async () => {
+    renderHook(() =>
+      useUnsavedChangesPrompt({
+        hasUnsavedChanges: true,
+        blockSpaNavigation: false,
+      })
+    );
+
+    expect(addSpy).toBeCalledWith('beforeunload', expect.anything());
+
+    act(() => history.push('/test'));
+
+    expect(coreStart.overlays.openConfirm).not.toBeCalled();
+
+    expect(history.location.pathname).toBe('/test');
+
+    expect(blockSpy).not.toBeCalled();
+  });
 });

src/platform/packages/shared/kbn-unsaved-changes-prompt/src/unsaved_changes_prompt/unsaved_changes_prompt.tsx

@@ -28,8 +28,11 @@ const DEFAULT_CONFIRM_BUTTON = i18n.translate('unsavedChangesPrompt.defaultModal
   defaultMessage: 'Leave page',
 });
 
-interface Props {
+interface BaseProps {
   hasUnsavedChanges: boolean;
+}
+
+interface SpaBlockingProps extends BaseProps {
   http: HttpStart;
   openConfirm: OverlayStart['openConfirm'];
   history: ScopedHistory;
@@ -38,20 +41,21 @@ interface Props {
   messageText?: string;
   cancelButtonText?: string;
   confirmButtonText?: string;
+  blockSpaNavigation?: true;
+}
+
+interface BrowserBlockingProps extends BaseProps {
+  blockSpaNavigation: false;
 }
 
-export const useUnsavedChangesPrompt = ({
-  hasUnsavedChanges,
-  openConfirm,
-  history,
-  http,
-  navigateToUrl,
-  // Provide overrides for confirm dialog
-  messageText = DEFAULT_BODY_TEXT,
-  titleText = DEFAULT_TITLE_TEXT,
-  confirmButtonText = DEFAULT_CONFIRM_BUTTON,
-  cancelButtonText = DEFAULT_CANCEL_BUTTON,
-}: Props) => {
+type Props = SpaBlockingProps | BrowserBlockingProps;
+
+const isSpaBlocking = (props: Props): props is SpaBlockingProps =>
+  props.blockSpaNavigation !== false;
+
+export const useUnsavedChangesPrompt = (props: Props) => {
+  const { hasUnsavedChanges, blockSpaNavigation = true } = props;
+
   useEffect(() => {
     if (hasUnsavedChanges) {
       const handler = (event: BeforeUnloadEvent) => {
@@ -67,10 +71,22 @@ export const useUnsavedChangesPrompt = ({
   }, [hasUnsavedChanges]);
 
   useEffect(() => {
-    if (!hasUnsavedChanges) {
+    if (!hasUnsavedChanges || !isSpaBlocking(props)) {
       return;
     }
 
+    const {
+      openConfirm,
+      http,
+      history,
+      navigateToUrl,
+      // Provide overrides for confirm dialog
+      messageText = DEFAULT_BODY_TEXT,
+      titleText = DEFAULT_TITLE_TEXT,
+      confirmButtonText = DEFAULT_CONFIRM_BUTTON,
+      cancelButtonText = DEFAULT_CANCEL_BUTTON,
+    } = props;
+
     const unblock = history.block((state) => {
       async function confirmAsync() {
         const confirmResponse = await openConfirm(messageText, {
@@ -97,15 +113,5 @@ export const useUnsavedChangesPrompt = ({
     });
 
     return unblock;
-  }, [
-    history,
-    hasUnsavedChanges,
-    openConfirm,
-    navigateToUrl,
-    http.basePath,
-    titleText,
-    cancelButtonText,
-    confirmButtonText,
-    messageText,
-  ]);
+  }, [hasUnsavedChanges, blockSpaNavigation, props]);
 };

x-pack/platform/plugins/private/translations/translations/fr-FR.json

@@ -27054,7 +27054,6 @@
     "xpack.ml.indexDatavisualizer.actionsPanel.dataframeTitle": "Analyse du cadre de données",
     "xpack.ml.inference.modelsList.analyticsMapActionLabel": "Mapping d'analyse",
     "xpack.ml.inference.modelsList.analyzeDataDriftLabel": "Analyser la dérive de données",
-    "xpack.ml.inference.modelsList.downloadModelActionLabel": "Télécharger",
     "xpack.ml.inference.modelsList.startModelDeploymentActionDescription": "Démarrer le déploiement",
     "xpack.ml.inference.modelsList.startModelDeploymentActionLabel": "Déployer",
     "xpack.ml.inference.modelsList.stopModelDeploymentActionLabel": "Arrêter le déploiement",
@@ -28840,14 +28839,9 @@
     "xpack.ml.trainedModels.modelsList.startDeployment.vCULevel": "Sélecteur de niveau des VCU",
     "xpack.ml.trainedModels.modelsList.startDeployment.vCUUsageLabel": "Niveau d'utilisation du VCU",
     "xpack.ml.trainedModels.modelsList.startDeployment.viewElserDocLink": "Afficher la documentation",
-    "xpack.ml.trainedModels.modelsList.startFailed": "Impossible de démarrer \"{modelId}\"",
     "xpack.ml.trainedModels.modelsList.stateHeader": "État",
-    "xpack.ml.trainedModels.modelsList.stopDeploymentWarning": "Impossible d'arrêter \"{deploymentId}\"",
-    "xpack.ml.trainedModels.modelsList.stopFailed": "Impossible d'arrêter \"{modelId}\"",
     "xpack.ml.trainedModels.modelsList.totalAmountLabel": "Total de modèles entraînés",
     "xpack.ml.trainedModels.modelsList.updateDeployment.modalTitle": "Mettre à jour le déploiement {modelId}",
-    "xpack.ml.trainedModels.modelsList.updateFailed": "Impossible de mettre à jour \"{modelId}\"",
-    "xpack.ml.trainedModels.modelsList.updateSuccess": "Le déploiement pour \"{modelId}\" a bien été mis à jour.",
     "xpack.ml.trainedModels.modelsList.viewTrainingDataActionLabel": "Les données d'entraînement peuvent être consultées lorsque la tâche d'analyse du cadre de données existe.",
     "xpack.ml.trainedModels.modelsList.viewTrainingDataNameActionLabel": "Afficher les données d'entraînement",
     "xpack.ml.trainedModels.nodesList.adMemoryUsage": "Tâches de détection des anomalies",

x-pack/platform/plugins/private/translations/translations/ja-JP.json

@@ -26921,7 +26921,6 @@
     "xpack.ml.indexDatavisualizer.actionsPanel.dataframeTitle": "データフレーム分析",
     "xpack.ml.inference.modelsList.analyticsMapActionLabel": "分析マップ",
     "xpack.ml.inference.modelsList.analyzeDataDriftLabel": "データドリフトを分析",
-    "xpack.ml.inference.modelsList.downloadModelActionLabel": "ダウンロード",
     "xpack.ml.inference.modelsList.startModelDeploymentActionDescription": "デプロイを開始",
     "xpack.ml.inference.modelsList.startModelDeploymentActionLabel": "デプロイ",
     "xpack.ml.inference.modelsList.stopModelDeploymentActionLabel": "デプロイを停止",
@@ -28705,14 +28704,9 @@
     "xpack.ml.trainedModels.modelsList.startDeployment.vCULevel": "VCUレベルセレクター",
     "xpack.ml.trainedModels.modelsList.startDeployment.vCUUsageLabel": "VCU使用率レベル",
     "xpack.ml.trainedModels.modelsList.startDeployment.viewElserDocLink": "ドキュメンテーションを表示",
-    "xpack.ml.trainedModels.modelsList.startFailed": "\"{modelId}\"の開始に失敗しました",
     "xpack.ml.trainedModels.modelsList.stateHeader": "ステータス",
-    "xpack.ml.trainedModels.modelsList.stopDeploymentWarning": "\"{deploymentId}\"を停止できませんでした",
-    "xpack.ml.trainedModels.modelsList.stopFailed": "\"{modelId}\"の停止に失敗しました",
     "xpack.ml.trainedModels.modelsList.totalAmountLabel": "学習済みモデルの合計数",
     "xpack.ml.trainedModels.modelsList.updateDeployment.modalTitle": "{modelId}デプロイを更新",
-    "xpack.ml.trainedModels.modelsList.updateFailed": "\"{modelId}\"を更新できませんでした",
-    "xpack.ml.trainedModels.modelsList.updateSuccess": "\"{modelId}\"のデプロイが正常に更新されました。",
     "xpack.ml.trainedModels.modelsList.viewTrainingDataActionLabel": "データフレーム分析ジョブが存在する場合、学習データを表示できます。",
     "xpack.ml.trainedModels.modelsList.viewTrainingDataNameActionLabel": "学習データを表示",
     "xpack.ml.trainedModels.nodesList.adMemoryUsage": "異常検知ジョブ",

x-pack/platform/plugins/private/translations/translations/zh-CN.json

@@ -26480,7 +26480,6 @@
     "xpack.ml.indexDatavisualizer.actionsPanel.dataframeTitle": "数据帧分析",
     "xpack.ml.inference.modelsList.analyticsMapActionLabel": "分析地图",
     "xpack.ml.inference.modelsList.analyzeDataDriftLabel": "分析数据偏移",
-    "xpack.ml.inference.modelsList.downloadModelActionLabel": "下载",
     "xpack.ml.inference.modelsList.startModelDeploymentActionDescription": "开始部署",
     "xpack.ml.inference.modelsList.startModelDeploymentActionLabel": "部署",
     "xpack.ml.inference.modelsList.stopModelDeploymentActionLabel": "停止部署",

x-pack/platform/plugins/shared/ml/common/types/storage.ts

@@ -7,6 +7,7 @@
 
 import type { MlEntityFieldType } from '@kbn/ml-anomaly-utils';
 import type { FrozenTierPreference } from '@kbn/ml-date-picker';
+import type { StartAllocationParams } from '../../public/application/services/ml_api_service/trained_models';
 
 export const ML_ENTITY_FIELDS_CONFIG = 'ml.singleMetricViewer.partitionFields' as const;
 export const ML_APPLY_TIME_RANGE_CONFIG = 'ml.jobSelectorFlyout.applyTimeRange';
@@ -16,6 +17,7 @@ export const ML_ANOMALY_EXPLORER_PANELS = 'ml.anomalyExplorerPanels';
 export const ML_NOTIFICATIONS_LAST_CHECKED_AT = 'ml.notificationsLastCheckedAt';
 export const ML_OVERVIEW_PANELS = 'ml.overviewPanels';
 export const ML_ELSER_CALLOUT_DISMISSED = 'ml.elserUpdateCalloutDismissed';
+export const ML_SCHEDULED_MODEL_DEPLOYMENTS = 'ml.trainedModels.scheduledModelDeployments';
 
 export type PartitionFieldConfig =
   | {
@@ -71,6 +73,7 @@ export interface MlStorageRecord {
   [ML_NOTIFICATIONS_LAST_CHECKED_AT]: number | undefined;
   [ML_OVERVIEW_PANELS]: OverviewPanelsState;
   [ML_ELSER_CALLOUT_DISMISSED]: boolean | undefined;
+  [ML_SCHEDULED_MODEL_DEPLOYMENTS]: StartAllocationParams[];
 }
 
 export type MlStorage = Partial<MlStorageRecord> | null;
@@ -93,6 +96,8 @@ export type TMlStorageMapped<T extends MlStorageKey> = T extends typeof ML_ENTIT
   ? OverviewPanelsState | undefined
   : T extends typeof ML_ELSER_CALLOUT_DISMISSED
   ? boolean | undefined
+  : T extends typeof ML_SCHEDULED_MODEL_DEPLOYMENTS
+  ? string[] | undefined
   : null;
 
 export const ML_STORAGE_KEYS = [
@@ -104,4 +109,5 @@ export const ML_STORAGE_KEYS = [
   ML_NOTIFICATIONS_LAST_CHECKED_AT,
   ML_OVERVIEW_PANELS,
   ML_ELSER_CALLOUT_DISMISSED,
+  ML_SCHEDULED_MODEL_DEPLOYMENTS,
 ] as const;