[ML] Versioning all ML APIs (elastic#156949)

Adds versioning to all of the ML kibana APIs. Versions are added to the server side routes and to the client side functions which call the routes. Makes some small refactors to ensure only the functions inside `ml/public/application/services/ml_api_service/` are where the ML APIs are called. Updates external plugins which call ML APIs to add the new versioning. Updates API tests to add the API version to the request headers. Our one public API has been given the version `'2023-05-15'`, all of the internal APIs have been given the version `'1'`. **Public APIs:** `/api/ml/saved_objects/sync` **Internal APIS:** `/internal/ml/alerting/preview` `/internal/ml/annotations` `/internal/ml/annotations/index` `/internal/ml/annotations/delete/{annotationId}` `/internal/ml/anomaly_detectors` `/internal/ml/anomaly_detectors/{jobId}` `/internal/ml/anomaly_detectors/_stats` `/internal/ml/anomaly_detectors/{jobId}/_stats` `/internal/ml/anomaly_detectors/{jobId}` `/internal/ml/anomaly_detectors/{jobId}/_update` `/internal/ml/anomaly_detectors/{jobId}/_open` `/internal/ml/anomaly_detectors/{jobId}/_close` `/internal/ml/anomaly_detectors/{jobId}/_reset` `/internal/ml/anomaly_detectors/{jobId}` `/internal/ml/anomaly_detectors/_validate/detector` `/internal/ml/anomaly_detectors/{jobId}/_forecast` `/internal/ml/anomaly_detectors/{jobId}/results/records` `/internal/ml/anomaly_detectors/{jobId}/results/buckets/{timestamp?}` `/internal/ml/anomaly_detectors/{jobId}/results/overall_buckets` `/internal/ml/anomaly_detectors/{jobId}/results/categories/{categoryId}` `/internal/ml/anomaly_detectors/{jobId}/model_snapshots` `/internal/ml/anomaly_detectors/{jobId}/model_snapshots/{snapshotId}` `/internal/ml/anomaly_detectors/{jobId}/model_snapshots/{snapshotId}/_update` `/internal/ml/anomaly_detectors/{jobId}/model_snapshots/{snapshotId}` `/internal/ml/calendars` `/internal/ml/calendars/{calendarIds}` `/internal/ml/calendars` `/internal/ml/calendars/{calendarId}` `/internal/ml/calendars/{calendarId}` `/internal/ml/data_frame/analytics` `/internal/ml/data_frame/analytics/{analyticsId}` `/internal/ml/data_frame/analytics/_stats` `/internal/ml/data_frame/analytics/{analyticsId}/_stats` `/internal/ml/data_frame/analytics/{analyticsId}` `/internal/ml/data_frame/_evaluate` `/internal/ml/data_frame/analytics/_explain` `/internal/ml/data_frame/analytics/{analyticsId}` `/internal/ml/data_frame/analytics/{analyticsId}/_start` `/internal/ml/data_frame/analytics/{analyticsId}/_stop` `/internal/ml/data_frame/analytics/{analyticsId}/_update` `/internal/ml/data_frame/analytics/{analyticsId}/messages` `/internal/ml/data_frame/analytics/jobs_exist` `/internal/ml/data_frame/analytics/map/{analyticsId}` `/internal/ml/data_frame/analytics/new_job_caps/{indexPattern}` `/internal/ml/data_frame/analytics/validate` `/internal/ml/data_visualizer/get_field_histograms/{indexPattern}` `/internal/ml/datafeeds` `/internal/ml/datafeeds/{datafeedId}` `/internal/ml/datafeeds/_stats` `/internal/ml/datafeeds/{datafeedId}/_stats` `/internal/ml/datafeeds/{datafeedId}` `/internal/ml/datafeeds/{datafeedId}/_update` `/internal/ml/datafeeds/{datafeedId}` `/internal/ml/datafeeds/{datafeedId}/_start` `/internal/ml/datafeeds/{datafeedId}/_stop` `/internal/ml/datafeeds/{datafeedId}/_preview` `/internal/ml/fields_service/field_cardinality` `/internal/ml/fields_service/time_field_range` `/internal/ml/filters` `/internal/ml/filters/{filterId}` `/internal/ml/filters` `/internal/ml/filters/{filterId}` `/internal/ml/filters/{filterId}` `/internal/ml/filters/_stats` `/internal/ml/indices/field_caps` `/internal/ml/job_audit_messages/messages/{jobId}` `/internal/ml/job_audit_messages/messages` `/internal/ml/job_audit_messages/clear_messages` `/internal/ml/jobs/force_start_datafeeds` `/internal/ml/jobs/stop_datafeeds` `/internal/ml/jobs/delete_jobs` `/internal/ml/jobs/close_jobs` `/internal/ml/jobs/reset_jobs` `/internal/ml/jobs/force_stop_and_close_job` `/internal/ml/jobs/jobs_summary` `/internal/ml/jobs/jobs_with_geo` `/internal/ml/jobs/jobs_with_time_range` `/internal/ml/jobs/job_for_cloning` `/internal/ml/jobs/jobs` `/internal/ml/jobs/groups` `/internal/ml/jobs/update_groups` `/internal/ml/jobs/blocking_jobs_tasks` `/internal/ml/jobs/jobs_exist` `/internal/ml/jobs/new_job_caps/{indexPattern}` `/internal/ml/jobs/new_job_line_chart` `/internal/ml/jobs/new_job_population_chart` `/internal/ml/jobs/all_jobs_and_group_ids` `/internal/ml/jobs/look_back_progress` `/internal/ml/jobs/categorization_field_examples` `/internal/ml/jobs/top_categories` `/internal/ml/jobs/datafeed_preview` `/internal/ml/jobs/revert_model_snapshot` `/internal/ml/jobs/bulk_create` `/internal/ml/validate/estimate_bucket_span` `/internal/ml/validate/calculate_model_memory_limit` `/internal/ml/validate/cardinality` `/internal/ml/validate/job` `/internal/ml/validate/datafeed_preview` `/internal/ml/json_schema` `/internal/ml/management/list/{listType}` `/internal/ml/model_management/nodes_overview` `/internal/ml/model_management/memory_usage` `/internal/ml/modules/recognize/{indexPatternTitle}` `/internal/ml/modules/get_module/{moduleId?}` `/internal/ml/modules/setup/{moduleId}` `/internal/ml/modules/jobs_exist/{moduleId}` `/internal/ml/notifications` `/internal/ml/notifications/count` `/internal/ml/results/anomalies_table_data` `/internal/ml/results/category_definition` `/internal/ml/results/max_anomaly_score` `/internal/ml/results/category_examples` `/internal/ml/results/partition_fields_values` `/internal/ml/results/anomaly_search` `/internal/ml/results/{jobId}/categorizer_stats` `/internal/ml/results/category_stopped_partitions` `/internal/ml/results/datafeed_results_chart` `/internal/ml/results/anomaly_charts` `/internal/ml/results/anomaly_records` `/internal/ml/saved_objects/status` `/internal/ml/saved_objects/initialize` `/internal/ml/saved_objects/sync_check` `/internal/ml/saved_objects/update_jobs_spaces` `/internal/ml/saved_objects/update_trained_models_spaces` `/internal/ml/saved_objects/remove_item_from_current_space` `/internal/ml/saved_objects/jobs_spaces` `/internal/ml/saved_objects/trained_models_spaces` `/internal/ml/saved_objects/can_delete_ml_space_aware_item/{jobType}` `/internal/ml/_has_privileges` `/internal/ml/ml_capabilities` `/internal/ml/ml_node_count` `/internal/ml/info` `/internal/ml/es_search` `/internal/ml/index_exists` `/internal/ml/trained_models/{modelId?}` `/internal/ml/trained_models/_stats` `/internal/ml/trained_models/{modelId}/_stats` `/internal/ml/trained_models/{modelId}/pipelines` `/internal/ml/trained_models/{modelId}` `/internal/ml/trained_models/{modelId}` `/internal/ml/trained_models/{modelId}/deployment/_start` `/internal/ml/trained_models/{modelId}/{deploymentId}/deployment/_update` `/internal/ml/trained_models/{modelId}/{deploymentId}/deployment/_stop` `/internal/ml/trained_models/pipeline_simulate` `/internal/ml/trained_models/infer/{modelId}/{deploymentId}`
delanni · May 25, 2023 · 9e37b92 · 9e37b92
1 parent 7b280d8
commit 9e37b92
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Showing 190 changed files with 5,817 additions and 4,637 deletions.
diff --git a/x-pack/packages/ml/date_picker/src/services/full_time_range_selector_service.ts b/x-pack/packages/ml/date_picker/src/services/full_time_range_selector_service.ts
@@ -22,7 +22,7 @@ import type { GetTimeFieldRangeResponse } from './types';
  */
 export type SetFullTimeRangeApiPath =
   | '/internal/file_upload/time_field_range'
-  | '/api/ml/fields_service/time_field_range';
+  | '/internal/ml/fields_service/time_field_range';
 
 /**
  * Determines the full available time range of the given Data View and updates

diff --git a/.../public/applications/enterprise_search_content/api/ml_models/ml_model_stats_logic.test.ts b/.../public/applications/enterprise_search_content/api/ml_models/ml_model_stats_logic.test.ts
@@ -18,7 +18,7 @@ describe('MLModelsApiLogic', () => {
     it('calls the ml api', async () => {
       http.get.mockResolvedValue(mlModelStats);
       const result = await getMLModelsStats();
-      expect(http.get).toHaveBeenCalledWith('/api/ml/trained_models/_stats');
+      expect(http.get).toHaveBeenCalledWith('/internal/ml/trained_models/_stats', { version: '1' });
       expect(result).toEqual(mlModelStats);
     });
   });

diff --git a/...earch/public/applications/enterprise_search_content/api/ml_models/ml_model_stats_logic.ts b/...earch/public/applications/enterprise_search_content/api/ml_models/ml_model_stats_logic.ts
@@ -17,7 +17,10 @@ export interface GetMlModelsStatsResponse {
 }
 
 export const getMLModelsStats = async () => {
-  return await HttpLogic.values.http.get<GetMlModelsStatsResponse>('/api/ml/trained_models/_stats');
+  return await HttpLogic.values.http.get<GetMlModelsStatsResponse>(
+    '/internal/ml/trained_models/_stats',
+    { version: '1' }
+  );
 };
 
 export const MLModelsStatsApiLogic = createApiLogic(

diff --git a/...earch/public/applications/enterprise_search_content/api/ml_models/ml_models_logic.test.ts b/...earch/public/applications/enterprise_search_content/api/ml_models/ml_models_logic.test.ts
@@ -18,8 +18,9 @@ describe('MLModelsApiLogic', () => {
     it('calls the ml api', async () => {
       http.get.mockResolvedValue(mlModels);
       const result = await getMLModels();
-      expect(http.get).toHaveBeenCalledWith('/api/ml/trained_models', {
+      expect(http.get).toHaveBeenCalledWith('/internal/ml/trained_models', {
         query: { size: 1000, with_pipelines: true },
+        version: '1',
       });
       expect(result).toEqual(mlModels);
     });

diff --git a/...ise_search/public/applications/enterprise_search_content/api/ml_models/ml_models_logic.ts b/...ise_search/public/applications/enterprise_search_content/api/ml_models/ml_models_logic.ts
@@ -14,9 +14,13 @@ export type GetMlModelsArgs = number | undefined;
 export type GetMlModelsResponse = TrainedModelConfigResponse[];
 
 export const getMLModels = async (size: GetMlModelsArgs = 1000) => {
-  return await HttpLogic.values.http.get<TrainedModelConfigResponse[]>('/api/ml/trained_models', {
-    query: { size, with_pipelines: true },
-  });
+  return await HttpLogic.values.http.get<TrainedModelConfigResponse[]>(
+    '/internal/ml/trained_models',
+    {
+      query: { size, with_pipelines: true },
+      version: '1',
+    }
+  );
 };
 
 export const MLModelsApiLogic = createApiLogic(['ml_models_api_logic'], getMLModels, {

diff --git a/x-pack/plugins/infra/public/containers/logs/log_analysis/api/ml_cleanup.ts b/x-pack/plugins/infra/public/containers/logs/log_analysis/api/ml_cleanup.ts
@@ -24,8 +24,9 @@ export const callDeleteJobs = async <JobType extends string>(
   const { spaceId, logViewId, jobTypes } = requestArgs;
 
   // NOTE: Deleting the jobs via this API will delete the datafeeds at the same time
-  const deleteJobsResponse = await fetch('/api/ml/jobs/delete_jobs', {
+  const deleteJobsResponse = await fetch('/internal/ml/jobs/delete_jobs', {
     method: 'POST',
+    version: '1',
     body: JSON.stringify(
       deleteJobsRequestPayloadRT.encode({
         jobIds: jobTypes.map((jobType) => getJobId(spaceId, logViewId, jobType)),
@@ -37,7 +38,9 @@ export const callDeleteJobs = async <JobType extends string>(
 };
 
 export const callGetJobDeletionTasks = async (fetch: HttpHandler) => {
-  const jobDeletionTasksResponse = await fetch('/api/ml/jobs/deleting_jobs_tasks');
+  const jobDeletionTasksResponse = await fetch('/internal/ml/jobs/deleting_jobs_tasks', {
+    version: '1',
+  });
 
   return decodeOrThrow(getJobDeletionTasksResponsePayloadRT)(jobDeletionTasksResponse);
 };
@@ -55,8 +58,9 @@ export const callStopDatafeeds = async <JobType extends string>(
   const { spaceId, logViewId, jobTypes } = requestArgs;
 
   // Stop datafeed due to https://github.com/elastic/kibana/issues/44652
-  const stopDatafeedResponse = await fetch('/api/ml/jobs/stop_datafeeds', {
+  const stopDatafeedResponse = await fetch('/internal/ml/jobs/stop_datafeeds', {
     method: 'POST',
+    version: '1',
     body: JSON.stringify(
       stopDatafeedsRequestPayloadRT.encode({
         datafeedIds: jobTypes.map((jobType) => getDatafeedId(spaceId, logViewId, jobType)),

diff --git a/x-pack/plugins/infra/public/containers/logs/log_analysis/api/ml_get_jobs_summary_api.ts b/x-pack/plugins/infra/public/containers/logs/log_analysis/api/ml_get_jobs_summary_api.ts
@@ -22,8 +22,9 @@ export const callJobsSummaryAPI = async <JobType extends string>(
   fetch: HttpHandler
 ) => {
   const { spaceId, logViewId, jobTypes } = requestArgs;
-  const response = await fetch('/api/ml/jobs/jobs_summary', {
+  const response = await fetch('/internal/ml/jobs/jobs_summary', {
     method: 'POST',
+    version: '1',
     body: JSON.stringify(
       fetchJobStatusRequestPayloadRT.encode({
         jobIds: jobTypes.map((jobType) => getJobId(spaceId, logViewId, jobType)),

diff --git a/x-pack/plugins/infra/public/containers/logs/log_analysis/api/ml_get_module.ts b/x-pack/plugins/infra/public/containers/logs/log_analysis/api/ml_get_module.ts
@@ -12,8 +12,9 @@ import { jobCustomSettingsRT } from '../../../../../common/log_analysis';
 import { decodeOrThrow } from '../../../../../common/runtime_types';
 
 export const callGetMlModuleAPI = async (moduleId: string, fetch: HttpHandler) => {
-  const response = await fetch(`/api/ml/modules/get_module/${moduleId}`, {
+  const response = await fetch(`/internal/ml/modules/get_module/${moduleId}`, {
     method: 'GET',
+    version: '1',
   });
 
   return decodeOrThrow(getMlModuleResponsePayloadRT)(response);

diff --git a/x-pack/plugins/infra/public/containers/logs/log_analysis/api/ml_setup_module_api.ts b/x-pack/plugins/infra/public/containers/logs/log_analysis/api/ml_setup_module_api.ts
@@ -38,8 +38,9 @@ export const callSetupMlModuleAPI = async (requestArgs: RequestArgs, fetch: Http
     useDedicatedIndex = false,
   } = requestArgs;
 
-  const response = await fetch(`/api/ml/modules/setup/${moduleId}`, {
+  const response = await fetch(`/internal/ml/modules/setup/${moduleId}`, {
     method: 'POST',
+    version: '1',
     body: JSON.stringify(
       setupMlModuleRequestPayloadRT.encode({
         start,

diff --git a/x-pack/plugins/infra/public/containers/logs/log_analysis/log_analysis_capabilities.tsx b/x-pack/plugins/infra/public/containers/logs/log_analysis/log_analysis_capabilities.tsx
@@ -24,7 +24,9 @@ export const useLogAnalysisCapabilities = () => {
     {
       cancelPreviousOn: 'resolution',
       createPromise: async () => {
-        const rawResponse = await services.http.fetch('/api/ml/ml_capabilities');
+        const rawResponse = await services.http.fetch('/internal/ml/ml_capabilities', {
+          version: '1',
+        });
 
         return decodeOrThrow(getMlCapabilitiesResponsePayloadRT)(rawResponse);
       },

diff --git a/x-pack/plugins/infra/public/containers/ml/api/ml_cleanup.ts b/x-pack/plugins/infra/public/containers/ml/api/ml_cleanup.ts
@@ -23,8 +23,9 @@ export const callDeleteJobs = async <JobType extends string>(
   const { spaceId, sourceId, jobTypes } = requestArgs;
 
   // NOTE: Deleting the jobs via this API will delete the datafeeds at the same time
-  const deleteJobsResponse = await fetch('/api/ml/jobs/delete_jobs', {
+  const deleteJobsResponse = await fetch('/internal/ml/jobs/delete_jobs', {
     method: 'POST',
+    version: '1',
     body: JSON.stringify(
       deleteJobsRequestPayloadRT.encode({
         jobIds: jobTypes.map((jobType) => getJobId(spaceId, sourceId, jobType)),
@@ -36,7 +37,9 @@ export const callDeleteJobs = async <JobType extends string>(
 };
 
 export const callGetJobDeletionTasks = async (fetch: HttpHandler) => {
-  const jobDeletionTasksResponse = await fetch('/api/ml/jobs/deleting_jobs_tasks');
+  const jobDeletionTasksResponse = await fetch('/internal/ml/jobs/deleting_jobs_tasks', {
+    version: '1',
+  });
 
   return decodeOrThrow(getJobDeletionTasksResponsePayloadRT)(jobDeletionTasksResponse);
 };
@@ -54,8 +57,9 @@ export const callStopDatafeeds = async <JobType extends string>(
   const { spaceId, sourceId, jobTypes } = requestArgs;
 
   // Stop datafeed due to https://github.com/elastic/kibana/issues/44652
-  const stopDatafeedResponse = await fetch('/api/ml/jobs/stop_datafeeds', {
+  const stopDatafeedResponse = await fetch('/internal/ml/jobs/stop_datafeeds', {
     method: 'POST',
+    version: '1',
     body: JSON.stringify(
       stopDatafeedsRequestPayloadRT.encode({
         datafeedIds: jobTypes.map((jobType) => getDatafeedId(spaceId, sourceId, jobType)),

diff --git a/x-pack/plugins/infra/public/containers/ml/api/ml_get_jobs_summary_api.ts b/x-pack/plugins/infra/public/containers/ml/api/ml_get_jobs_summary_api.ts
@@ -22,8 +22,9 @@ export const callJobsSummaryAPI = async <JobType extends string>(
   fetch: HttpHandler
 ) => {
   const { spaceId, sourceId, jobTypes } = requestArgs;
-  const response = await fetch('/api/ml/jobs/jobs_summary', {
+  const response = await fetch('/internal/ml/jobs/jobs_summary', {
     method: 'POST',
+    version: '1',
     body: JSON.stringify(
       fetchJobStatusRequestPayloadRT.encode({
         jobIds: jobTypes.map((jobType) => getJobId(spaceId, sourceId, jobType)),

diff --git a/x-pack/plugins/infra/public/containers/ml/api/ml_get_module.ts b/x-pack/plugins/infra/public/containers/ml/api/ml_get_module.ts
@@ -12,8 +12,9 @@ import { jobCustomSettingsRT } from '../../../../common/log_analysis';
 import { decodeOrThrow } from '../../../../common/runtime_types';
 
 export const callGetMlModuleAPI = async (moduleId: string, fetch: HttpHandler) => {
-  const response = await fetch(`/api/ml/modules/get_module/${moduleId}`, {
+  const response = await fetch(`/internal/ml/modules/get_module/${moduleId}`, {
     method: 'GET',
+    version: '1',
   });
 
   return decodeOrThrow(getMlModuleResponsePayloadRT)(response);

diff --git a/x-pack/plugins/infra/public/containers/ml/api/ml_setup_module_api.ts b/x-pack/plugins/infra/public/containers/ml/api/ml_setup_module_api.ts
@@ -36,8 +36,9 @@ export const callSetupMlModuleAPI = async (requestArgs: RequestArgs, fetch: Http
     query,
   } = requestArgs;
 
-  const response = await fetch(`/api/ml/modules/setup/${moduleId}`, {
+  const response = await fetch(`/internal/ml/modules/setup/${moduleId}`, {
     method: 'POST',
+    version: '1',
     body: JSON.stringify(
       setupMlModuleRequestPayloadRT.encode({
         start,

diff --git a/x-pack/plugins/infra/public/containers/ml/infra_ml_capabilities.tsx b/x-pack/plugins/infra/public/containers/ml/infra_ml_capabilities.tsx
@@ -27,7 +27,9 @@ export const useInfraMLCapabilities = () => {
     {
       cancelPreviousOn: 'resolution',
       createPromise: async () => {
-        const rawResponse = await services.http.fetch('/api/ml/ml_capabilities');
+        const rawResponse = await services.http.fetch('/internal/ml/ml_capabilities', {
+          version: '1',
+        });
 
         return pipe(
           getMlCapabilitiesResponsePayloadRT.decode(rawResponse),

diff --git a/x-pack/plugins/ml/common/constants/app.ts b/x-pack/plugins/ml/common/constants/app.ts
@@ -13,4 +13,5 @@ export const PLUGIN_ICON_SOLUTION = 'logoKibana';
 export const ML_APP_NAME = i18n.translate('xpack.ml.navMenu.mlAppNameText', {
   defaultMessage: 'Machine Learning',
 });
-export const ML_BASE_PATH = '/api/ml';
+export const ML_INTERNAL_BASE_PATH = '/internal/ml';
+export const ML_EXTERNAL_BASE_PATH = '/api/ml';
diff --git a/x-pack/plugins/ml/common/types/anomaly_detection_jobs/summary_job.ts b/x-pack/plugins/ml/common/types/anomaly_detection_jobs/summary_job.ts
@@ -90,7 +90,7 @@ export interface MlSummaryJob {
 
   /**
    * Used in older implementations of the job config, where the datafeed was placed inside the job for convenience.
-   * This will be populated if the job's id has been passed to the /api/ml/jobs/jobs_summary endpoint.
+   * This will be populated if the job's id has been passed to the /internal/ml/jobs/jobs_summary endpoint.
    */
   fullJob?: CombinedJob;
 

diff --git a/x-pack/plugins/ml/common/types/modules.ts b/x-pack/plugins/ml/common/types/modules.ts
@@ -58,6 +58,14 @@ export interface Module {
   kibana: KibanaObjects;
 }
 
+export interface RecognizeResult {
+  id: string;
+  title: string;
+  query: any;
+  description: string;
+  logo: Logo;
+}
+
 export interface FileBasedModule extends Omit<Module, 'jobs' | 'datafeeds' | 'kibana'> {
   jobs: Array<{ file: string; id: string }>;
   datafeeds: Array<{ file: string; job_id: string; id: string }>;

diff --git a/x-pack/plugins/ml/common/util/job_utils.ts b/x-pack/plugins/ml/common/util/job_utils.ts
@@ -916,3 +916,20 @@ export function isKnownEmptyQuery(query: QueryDslQueryContainer) {
 
   return false;
 }
+
+/**
+ * Extract unique influencers from the job or collection of jobs
+ * @param jobs
+ */
+export function extractInfluencers(jobs: Job | Job[]): string[] {
+  if (!Array.isArray(jobs)) {
+    jobs = [jobs];
+  }
+  const influencers = new Set<string>();
+  for (const job of jobs) {
+    for (const influencer of job.analysis_config.influencers || []) {
+      influencers.add(influencer);
+    }
+  }
+  return Array.from(influencers);
+}
diff --git a/x-pack/plugins/ml/public/application/datavisualizer/index_based/index_data_visualizer.tsx b/x-pack/plugins/ml/public/application/datavisualizer/index_based/index_data_visualizer.tsx
@@ -23,26 +23,18 @@ import { mlNodesAvailable, getMlNodeCount } from '../../ml_nodes_check/check_ml_
 import { checkPermission } from '../../capabilities/check_capabilities';
 import { MlPageHeader } from '../../components/page_header';
 
-interface RecognizerModule {
-  id: string;
-  title: string;
-  query: Record<string, object>;
-  description: string;
-  logo: {
-    icon: string;
-  };
-}
-
 export const IndexDataVisualizerPage: FC = () => {
   useTimefilter({ timeRangeSelector: false, autoRefreshSelector: false });
   const {
     services: {
-      http,
       docLinks,
       dataVisualizer,
       data: {
         dataViews: { get: getDataView },
       },
+      mlServices: {
+        mlApiServices: { recognizeIndex },
+      },
     },
   } = useMlKibana();
   const mlLocator = useMlLocator()!;
@@ -140,18 +132,14 @@ export const IndexDataVisualizerPage: FC = () => {
   const getAsyncRecognizedModuleCards = async (params: GetAdditionalLinksParams) => {
     const { dataViewId, dataViewTitle } = params;
     try {
-      const modules = await http.fetch<RecognizerModule[]>(
-        `/api/ml/modules/recognize/${dataViewTitle}`,
-        {
-          method: 'GET',
-        }
-      );
+      const modules = await recognizeIndex({ indexPatternTitle: dataViewTitle! });
+
       return modules?.map(
         (m): ResultLink => ({
           id: m.id,
           title: m.title,
           description: m.description,
-          icon: m.logo.icon,
+          icon: m.logo?.icon ?? '',
           type: 'index',
           getUrl: async () => {
             return await mlLocator.getUrl({

diff --git a/...lugins/ml/public/application/jobs/new_job/pages/components/time_range_step/time_range.tsx b/...lugins/ml/public/application/jobs/new_job/pages/components/time_range_step/time_range.tsx
@@ -13,6 +13,7 @@ import moment from 'moment';
 import { FullTimeRangeSelector, FROZEN_TIER_PREFERENCE } from '@kbn/ml-date-picker';
 import { useTimefilter, type GetTimeFieldRangeResponse } from '@kbn/ml-date-picker';
 import { useStorage } from '@kbn/ml-local-storage';
+import { ML_INTERNAL_BASE_PATH } from '../../../../../../../common/constants/app';
 import { WizardNav } from '../wizard_nav';
 import { StepProps, WIZARD_STEPS } from '../step_types';
 import { JobCreatorContext } from '../job_creator_context';
@@ -135,7 +136,7 @@ export const TimeRangeStep: FC<StepProps> = ({ setCurrentStep, isCurrentStep })
                 disabled={false}
                 callback={fullTimeRangeCallback}
                 timefilter={timefilter}
-                apiPath="/api/ml/fields_service/time_field_range"
+                apiPath={`${ML_INTERNAL_BASE_PATH}/fields_service/time_field_range`}
               />
             </EuiFlexItem>
             <EuiFlexItem />

diff --git a/x-pack/plugins/ml/public/application/services/anomaly_detector_service.ts b/x-pack/plugins/ml/public/application/services/anomaly_detector_service.ts
@@ -7,53 +7,32 @@
 
 import { Observable } from 'rxjs';
 import { map } from 'rxjs/operators';
-import { Job, JobId } from '../../../common/types/anomaly_detection_jobs';
-import { basePath } from './ml_api_service';
+import type { Job, JobId } from '../../../common/types/anomaly_detection_jobs';
 import { HttpService } from './http_service';
+import { type MlApiServices, mlApiServicesProvider } from './ml_api_service';
 
 export class AnomalyDetectorService {
-  private readonly apiBasePath = basePath() + '/anomaly_detectors';
+  private mlApiServices: MlApiServices;
 
-  constructor(private httpService: HttpService) {}
+  constructor(httpService: HttpService) {
+    this.mlApiServices = mlApiServicesProvider(httpService);
+  }
 
   /**
    * Fetches a single job object
    * @param jobId
    */
   getJobById$(jobId: JobId): Observable<Job> {
-    return this.httpService
-      .http$<{ count: number; jobs: Job[] }>({
-        path: `${this.apiBasePath}/${jobId}`,
-      })
-      .pipe(map((response) => response.jobs[0]));
+    return this.getJobs$([jobId]).pipe(map((jobs) => jobs[0]));
   }
 
   /**
    * Fetches anomaly detection jobs by ids
    * @param jobIds
    */
   getJobs$(jobIds: JobId[]): Observable<Job[]> {
-    return this.httpService
-      .http$<{ count: number; jobs: Job[] }>({
-        path: `${this.apiBasePath}/${jobIds.join(',')}`,
-      })
+    return this.mlApiServices
+      .getJobs$({ jobId: jobIds.join(',') })
       .pipe(map((response) => response.jobs));
   }
-
-  /**
-   * Extract unique influencers from the job or collection of jobs
-   * @param jobs
-   */
-  extractInfluencers(jobs: Job | Job[]): string[] {
-    if (!Array.isArray(jobs)) {
-      jobs = [jobs];
-    }
-    const influencers = new Set<string>();
-    for (const job of jobs) {
-      for (const influencer of job.analysis_config.influencers || []) {
-        influencers.add(influencer);
-      }
-    }
-    return Array.from(influencers);
-  }
 }