kibana/x-pack/plugins/ml/server/plugin.ts
James Gowdy fd5c6c16cd
[ML] Fixing licensing after server NP cutover (#58853)
* [ML] Fixing licensing after server NP cutover

* client side refactor

* management refactor

* moving management license check

* adding server side license class

* added common license class

* client sides using license class

* updating server api guards

* fix privileges tests

* updating translations

* fixing disabled tabs on basic license

* refactoring client side license checks

* setting license initialized flag

* fixing license check on index data viz

Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
2020-03-03 18:57:40 +00:00

135 lines
4.6 KiB
TypeScript

/*
* 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 { i18n } from '@kbn/i18n';
import { CoreSetup, IScopedClusterClient, Logger, PluginInitializerContext } from 'src/core/server';
import { PluginsSetup, RouteInitialization } from './types';
import { PLUGIN_ID } from '../../../legacy/plugins/ml/common/constants/app';
// @ts-ignore: could not find declaration file for module
import { elasticsearchJsPlugin } from './client/elasticsearch_ml';
import { makeMlUsageCollector } from './lib/ml_telemetry';
import { initMlServerLog } from './client/log';
import { initSampleDataSets } from './lib/sample_data_sets';
import { annotationRoutes } from './routes/annotations';
import { calendars } from './routes/calendars';
import { dataFeedRoutes } from './routes/datafeeds';
import { dataFrameAnalyticsRoutes } from './routes/data_frame_analytics';
import { dataRecognizer } from './routes/modules';
import { dataVisualizerRoutes } from './routes/data_visualizer';
import { fieldsService } from './routes/fields_service';
import { fileDataVisualizerRoutes } from './routes/file_data_visualizer';
import { filtersRoutes } from './routes/filters';
import { indicesRoutes } from './routes/indices';
import { jobAuditMessagesRoutes } from './routes/job_audit_messages';
import { jobRoutes } from './routes/anomaly_detectors';
import { jobServiceRoutes } from './routes/job_service';
import { jobValidationRoutes } from './routes/job_validation';
import { notificationRoutes } from './routes/notification_settings';
import { resultsServiceRoutes } from './routes/results_service';
import { systemRoutes } from './routes/system';
import { MlLicense } from '../../../legacy/plugins/ml/common/license';
import { MlServerLicense } from './lib/license';
declare module 'kibana/server' {
interface RequestHandlerContext {
ml?: {
mlClient: IScopedClusterClient;
};
}
}
export class MlServerPlugin {
private log: Logger;
private version: string;
private mlLicense: MlServerLicense;
constructor(ctx: PluginInitializerContext) {
this.log = ctx.logger.get();
this.version = ctx.env.packageInfo.branch;
this.mlLicense = new MlServerLicense();
}
public setup(coreSetup: CoreSetup, plugins: PluginsSetup) {
plugins.features.registerFeature({
id: PLUGIN_ID,
name: i18n.translate('xpack.ml.featureRegistry.mlFeatureName', {
defaultMessage: 'Machine Learning',
}),
icon: 'machineLearningApp',
navLinkId: PLUGIN_ID,
app: [PLUGIN_ID, 'kibana'],
catalogue: [PLUGIN_ID],
privileges: {},
reserved: {
privilege: {
savedObject: {
all: [],
read: [],
},
ui: [],
},
description: i18n.translate('xpack.ml.feature.reserved.description', {
defaultMessage:
'To grant users access, you should also assign either the machine_learning_user or machine_learning_admin role.',
}),
},
});
this.mlLicense.setup(plugins.licensing.license$, [
(mlLicense: MlLicense) => initSampleDataSets(mlLicense, plugins),
]);
// Can access via router's handler function 'context' parameter - context.ml.mlClient
const mlClient = coreSetup.elasticsearch.createClient(PLUGIN_ID, {
plugins: [elasticsearchJsPlugin],
});
coreSetup.http.registerRouteHandlerContext(PLUGIN_ID, (context, request) => {
return {
mlClient: mlClient.asScoped(request),
};
});
const routeInit: RouteInitialization = {
router: coreSetup.http.createRouter(),
mlLicense: this.mlLicense,
};
annotationRoutes(routeInit, plugins.security);
calendars(routeInit);
dataFeedRoutes(routeInit);
dataFrameAnalyticsRoutes(routeInit);
dataRecognizer(routeInit);
dataVisualizerRoutes(routeInit);
fieldsService(routeInit);
fileDataVisualizerRoutes(routeInit);
filtersRoutes(routeInit);
indicesRoutes(routeInit);
jobAuditMessagesRoutes(routeInit);
jobRoutes(routeInit);
jobServiceRoutes(routeInit);
notificationRoutes(routeInit);
resultsServiceRoutes(routeInit);
jobValidationRoutes(routeInit, this.version);
systemRoutes(routeInit, {
spacesPlugin: plugins.spaces,
cloud: plugins.cloud,
});
initMlServerLog({ log: this.log });
coreSetup.getStartServices().then(([core]) => {
makeMlUsageCollector(plugins.usageCollection, core.savedObjects);
});
}
public start() {}
public stop() {
this.mlLicense.unsubscribe();
}
}