[ML] New Platform server shim: update results service routes to use new platform router

x-pack/legacy/plugins/ml/server/models/results_service/build_anomaly_table_items.d.ts

@@ -0,0 +1,30 @@
+/*
+ * 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 { AnomalyRecordDoc } from '../../../common/types/anomalies';
+
+export interface AnomaliesTableRecord {
+  time: number;
+  source: AnomalyRecordDoc;
+  rowId: string;
+  jobId: string;
+  detectorIndex: number;
+  severity: number;
+  entityName?: string;
+  entityValue?: any;
+  influencers?: Array<{ [key: string]: any }>;
+  actual?: number[];
+  actualSort?: any;
+  typical?: number[];
+  typicalSort?: any;
+  metricDescriptionSort?: number;
+}
+
+export function buildAnomalyTableItems(
+  anomalyRecords: any,
+  aggregationInterval: any,
+  dateFormatTz: string
+): AnomaliesTableRecord[];

x-pack/legacy/plugins/ml/server/models/results_service/get_partition_fields_values.ts

@@ -7,11 +7,7 @@
 import Boom from 'boom';
 import { ML_RESULTS_INDEX_PATTERN } from '../../../common/constants/index_patterns';
 import { callWithRequestType } from '../../../common/types/kibana';
-
-interface CriteriaField {
-  fieldName: string;
-  fieldValue: any;
-}
+import { CriteriaField } from './results_service';
 
 const PARTITION_FIELDS = ['partition_field', 'over_field', 'by_field'] as const;
 

x-pack/legacy/plugins/ml/server/models/results_service/results_service.js → x-pack/legacy/plugins/ml/server/models/results_service/results_service.ts

@@ -6,40 +6,55 @@
 
 import _ from 'lodash';
 import moment from 'moment';
-
-import { buildAnomalyTableItems } from './build_anomaly_table_items';
+import { SearchResponse } from 'elasticsearch';
+import { RequestHandlerContext } from 'kibana/server';
+import { buildAnomalyTableItems, AnomaliesTableRecord } from './build_anomaly_table_items';
 import { ML_RESULTS_INDEX_PATTERN } from '../../../common/constants/index_patterns';
 import { ANOMALIES_TABLE_DEFAULT_QUERY_SIZE } from '../../../common/constants/search';
 import { getPartitionFieldsValuesFactory } from './get_partition_fields_values';
+import { AnomalyRecordDoc } from '../../../common/types/anomalies';
 
 // Service for carrying out Elasticsearch queries to obtain data for the
 // ML Results dashboards.
 
 const DEFAULT_MAX_EXAMPLES = 500;
 
-export function resultsServiceProvider(callWithRequest) {
+export interface CriteriaField {
+  fieldType?: string;
+  fieldName: string;
+  fieldValue: any;
+}
+
+interface Influencer {
+  fieldName: string;
+  fieldValue: any;
+}
+
+export function resultsServiceProvider(client: RequestHandlerContext | (() => any)) {
+  const callAsCurrentUser =
+    typeof client === 'object' ? client.ml!.mlClient.callAsCurrentUser : client;
   // Obtains data for the anomalies table, aggregating anomalies by day or hour as requested.
   // Return an Object with properties 'anomalies' and 'interval' (interval used to aggregate anomalies,
   // one of day, hour or second. Note 'auto' can be provided as the aggregationInterval in the request,
   // in which case the interval is determined according to the time span between the first and
   // last anomalies),  plus an examplesByJobId property if any of the
   // anomalies are categorization anomalies in mlcategory.
   async function getAnomaliesTableData(
-    jobIds,
-    criteriaFields,
-    influencers,
-    aggregationInterval,
-    threshold,
-    earliestMs,
-    latestMs,
-    dateFormatTz,
-    maxRecords = ANOMALIES_TABLE_DEFAULT_QUERY_SIZE,
-    maxExamples = DEFAULT_MAX_EXAMPLES,
-    influencersFilterQuery
+    jobIds: string[],
+    criteriaFields: CriteriaField[],
+    influencers: Influencer[],
+    aggregationInterval: string,
+    threshold: number,
+    earliestMs: number,
+    latestMs: number,
+    dateFormatTz: string,
+    maxRecords: number = ANOMALIES_TABLE_DEFAULT_QUERY_SIZE,
+    maxExamples: number = DEFAULT_MAX_EXAMPLES,
+    influencersFilterQuery: any
   ) {
     // Build the query to return the matching anomaly record results.
     // Add criteria for the time range, record score, plus any specified job IDs.
-    const boolCriteria = [
+    const boolCriteria: object[] = [
       {
         range: {
           timestamp: {
@@ -120,7 +135,7 @@ export function resultsServiceProvider(callWithRequest) {
       });
     }
 
-    const resp = await callWithRequest('search', {
+    const resp: SearchResponse<any> = await callAsCurrentUser('search', {
       index: ML_RESULTS_INDEX_PATTERN,
       rest_total_hits_as_int: true,
       size: maxRecords,
@@ -146,9 +161,16 @@ export function resultsServiceProvider(callWithRequest) {
       },
     });
 
-    const tableData = { anomalies: [], interval: 'second' };
+    const tableData: {
+      anomalies: AnomaliesTableRecord[];
+      interval: string;
+      examplesByJobId?: { [key: string]: any };
+    } = {
+      anomalies: [],
+      interval: 'second',
+    };
     if (resp.hits.total !== 0) {
-      let records = [];
+      let records: AnomalyRecordDoc[] = [];
       resp.hits.hits.forEach(hit => {
         records.push(hit._source);
       });
@@ -169,12 +191,12 @@ export function resultsServiceProvider(callWithRequest) {
 
       // Load examples for any categorization anomalies.
       const categoryAnomalies = tableData.anomalies.filter(
-        item => item.entityName === 'mlcategory'
+        (item: any) => item.entityName === 'mlcategory'
       );
       if (categoryAnomalies.length > 0) {
         tableData.examplesByJobId = {};
 
-        const categoryIdsByJobId = {};
+        const categoryIdsByJobId: { [key: string]: any } = {};
         categoryAnomalies.forEach(anomaly => {
           if (!_.has(categoryIdsByJobId, anomaly.jobId)) {
             categoryIdsByJobId[anomaly.jobId] = [];
@@ -192,7 +214,9 @@ export function resultsServiceProvider(callWithRequest) {
               categoryIdsByJobId[jobId],
               maxExamples
             );
-            tableData.examplesByJobId[jobId] = examplesByCategoryId;
+            if (tableData.examplesByJobId !== undefined) {
+              tableData.examplesByJobId[jobId] = examplesByCategoryId;
+            }
           })
         );
       }
@@ -202,10 +226,10 @@ export function resultsServiceProvider(callWithRequest) {
   }
 
   // Returns the maximum anomaly_score for result_type:bucket over jobIds for the interval passed in
-  async function getMaxAnomalyScore(jobIds = [], earliestMs, latestMs) {
+  async function getMaxAnomalyScore(jobIds: string[] = [], earliestMs: number, latestMs: number) {
     // Build the criteria to use in the bool filter part of the request.
     // Adds criteria for the time range plus any specified job IDs.
-    const boolCriteria = [
+    const boolCriteria: object[] = [
       {
         range: {
           timestamp: {
@@ -265,7 +289,7 @@ export function resultsServiceProvider(callWithRequest) {
       },
     };
 
-    const resp = await callWithRequest('search', query);
+    const resp = await callAsCurrentUser('search', query);
     const maxScore = _.get(resp, ['aggregations', 'max_score', 'value'], null);
 
     return { maxScore };
@@ -275,7 +299,7 @@ export function resultsServiceProvider(callWithRequest) {
   // Returns data over all jobs unless an optional list of job IDs of interest is supplied.
   // Returned response consists of latest bucket timestamps (ms since Jan 1 1970) against job ID
   async function getLatestBucketTimestampByJob(jobIds = []) {
-    const filter = [
+    const filter: object[] = [
       {
         term: {
           result_type: 'bucket',
@@ -303,7 +327,7 @@ export function resultsServiceProvider(callWithRequest) {
     // Size of job terms agg, consistent with maximum number of jobs supported by Java endpoints.
     const maxJobs = 10000;
 
-    const resp = await callWithRequest('search', {
+    const resp = await callAsCurrentUser('search', {
       index: ML_RESULTS_INDEX_PATTERN,
       size: 0,
       body: {
@@ -330,8 +354,12 @@ export function resultsServiceProvider(callWithRequest) {
       },
     });
 
-    const bucketsByJobId = _.get(resp, ['aggregations', 'byJobId', 'buckets'], []);
-    const timestampByJobId = {};
+    const bucketsByJobId: Array<{ key: string; maxTimestamp: { value?: number } }> = _.get(
+      resp,
+      ['aggregations', 'byJobId', 'buckets'],
+      []
+    );
+    const timestampByJobId: { [key: string]: number | undefined } = {};
     bucketsByJobId.forEach(bucket => {
       timestampByJobId[bucket.key] = bucket.maxTimestamp.value;
     });
@@ -342,8 +370,8 @@ export function resultsServiceProvider(callWithRequest) {
   // Obtains the categorization examples for the categories with the specified IDs
   // from the given index and job ID.
   // Returned response consists of a list of examples against category ID.
-  async function getCategoryExamples(jobId, categoryIds, maxExamples) {
-    const resp = await callWithRequest('search', {
+  async function getCategoryExamples(jobId: string, categoryIds: any, maxExamples: number) {
+    const resp = await callAsCurrentUser('search', {
       index: ML_RESULTS_INDEX_PATTERN,
       rest_total_hits_as_int: true,
       size: ANOMALIES_TABLE_DEFAULT_QUERY_SIZE, // Matches size of records in anomaly summary table.
@@ -356,9 +384,9 @@ export function resultsServiceProvider(callWithRequest) {
       },
     });
 
-    const examplesByCategoryId = {};
+    const examplesByCategoryId: { [key: string]: any } = {};
     if (resp.hits.total !== 0) {
-      resp.hits.hits.forEach(hit => {
+      resp.hits.hits.forEach((hit: any) => {
         if (maxExamples) {
           examplesByCategoryId[hit._source.category_id] = _.slice(
             hit._source.examples,
@@ -377,8 +405,8 @@ export function resultsServiceProvider(callWithRequest) {
   // Obtains the definition of the category with the specified ID and job ID.
   // Returned response contains four properties - categoryId, regex, examples
   // and terms (space delimited String of the common tokens matched in values of the category).
-  async function getCategoryDefinition(jobId, categoryId) {
-    const resp = await callWithRequest('search', {
+  async function getCategoryDefinition(jobId: string, categoryId: string) {
+    const resp = await callAsCurrentUser('search', {
       index: ML_RESULTS_INDEX_PATTERN,
       rest_total_hits_as_int: true,
       size: 1,
@@ -409,6 +437,6 @@ export function resultsServiceProvider(callWithRequest) {
     getCategoryExamples,
     getLatestBucketTimestampByJob,
     getMaxAnomalyScore,
-    getPartitionFieldsValues: getPartitionFieldsValuesFactory(callWithRequest),
+    getPartitionFieldsValues: getPartitionFieldsValuesFactory(callAsCurrentUser),
   };
 }

x-pack/legacy/plugins/ml/server/new_platform/results_service_schema.ts

@@ -0,0 +1,35 @@
+/*
+ * 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 { schema } from '@kbn/config-schema';
+
+const criteriaFieldSchema = schema.object({
+  fieldType: schema.maybe(schema.string()),
+  fieldName: schema.string(),
+  fieldValue: schema.any(),
+});
+
+export const anomaliesTableDataSchema = {
+  jobIds: schema.arrayOf(schema.string()),
+  criteriaFields: schema.arrayOf(criteriaFieldSchema),
+  influencers: schema.arrayOf(schema.maybe(schema.string())),
+  aggregationInterval: schema.string(),
+  threshold: schema.number(),
+  earliestMs: schema.number(),
+  latestMs: schema.number(),
+  dateFormatTz: schema.string(),
+  maxRecords: schema.number(),
+  maxExamples: schema.maybe(schema.number()),
+  influencersFilterQuery: schema.maybe(schema.any()),
+};
+
+export const partitionFieldValuesSchema = {
+  jobId: schema.string(),
+  searchTerm: schema.maybe(schema.any()),
+  criteriaFields: schema.arrayOf(criteriaFieldSchema),
+  earliestMs: schema.number(),
+  latestMs: schema.number(),
+};

x-pack/legacy/plugins/ml/server/routes/apidoc.json

@@ -33,6 +33,12 @@
     "ValidateAnomalyDetector",
     "ForecastAnomalyDetector",
     "GetOverallBuckets",
-    "GetCategories"
+    "GetCategories",
+    "ResultsService",
+    "GetAnomaliesTableData",
+    "GetCategoryDefinition",
+    "GetMaxAnomalyScore",
+    "GetCategoryExamples",
+    "GetPartitionFieldsValues"
   ]
 }