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[Metrics UI] Add overrides to Snapshot API to support alert previews (#68125)
* [Metrics UI] Add overrides to Snapshot API to support alert previews * Renaming tests from infra to metrics_ui; renaming waffle to snapshot; adding tests for overrides * removing limit and afterKey; removing extra interval * Setting the minimum value for lookbackSize
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0279b18a46
commit
0b8e0c054f
23 changed files with 144 additions and 31 deletions
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@ -6,6 +6,7 @@
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import * as rt from 'io-ts';
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import { SnapshotMetricTypeRT, ItemTypeRT } from '../inventory_models/types';
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import { metricsExplorerSeriesRT } from './metrics_explorer';
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export const SnapshotNodePathRT = rt.intersection([
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rt.type({
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@ -21,6 +22,7 @@ const SnapshotNodeMetricOptionalRT = rt.partial({
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value: rt.union([rt.number, rt.null]),
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avg: rt.union([rt.number, rt.null]),
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max: rt.union([rt.number, rt.null]),
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timeseries: metricsExplorerSeriesRT,
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});
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const SnapshotNodeMetricRequiredRT = rt.type({
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@ -41,11 +43,18 @@ export const SnapshotNodeResponseRT = rt.type({
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interval: rt.string,
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});
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export const InfraTimerangeInputRT = rt.type({
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interval: rt.string,
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to: rt.number,
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from: rt.number,
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});
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export const InfraTimerangeInputRT = rt.intersection([
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rt.type({
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interval: rt.string,
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to: rt.number,
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from: rt.number,
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}),
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rt.partial({
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lookbackSize: rt.number,
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ignoreLookback: rt.boolean,
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forceInterval: rt.boolean,
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}),
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]);
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export const SnapshotGroupByRT = rt.array(
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rt.partial({
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@ -97,6 +106,7 @@ export const SnapshotRequestRT = rt.intersection([
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accountId: rt.string,
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region: rt.string,
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filterQuery: rt.union([rt.string, rt.null]),
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includeTimeseries: rt.boolean,
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}),
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]);
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@ -14,6 +14,8 @@ import {
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SnapshotNodeResponseRT,
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SnapshotNodeResponse,
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SnapshotGroupBy,
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SnapshotRequest,
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InfraTimerangeInput,
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} from '../../../../../common/http_api/snapshot_api';
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import {
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InventoryItemType,
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@ -37,10 +39,11 @@ export function useSnapshot(
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);
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};
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const timerange = {
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const timerange: InfraTimerangeInput = {
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interval: '1m',
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to: currentTime,
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from: currentTime - 360 * 1000,
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lookbackSize: 20,
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};
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const { error, loading, response, makeRequest } = useHTTPRequest<SnapshotNodeResponse>(
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@ -55,7 +58,8 @@ export function useSnapshot(
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sourceId,
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accountId,
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region,
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}),
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includeTimeseries: true,
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} as SnapshotRequest),
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decodeResponse
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);
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@ -12,30 +12,48 @@ import { SnapshotModel, SnapshotModelMetricAggRT } from '../../../common/invento
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import { getDatasetForField } from '../../routes/metrics_explorer/lib/get_dataset_for_field';
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import { InfraTimerangeInput } from '../../../common/http_api/snapshot_api';
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import { ESSearchClient } from '.';
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import { getIntervalInSeconds } from '../../utils/get_interval_in_seconds';
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export const createTimeRangeWithInterval = async (
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client: ESSearchClient,
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options: InfraSnapshotRequestOptions
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): Promise<InfraTimerangeInput> => {
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const createInterval = async (client: ESSearchClient, options: InfraSnapshotRequestOptions) => {
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const { timerange } = options;
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if (timerange.forceInterval && timerange.interval) {
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return getIntervalInSeconds(timerange.interval);
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}
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const aggregations = getMetricsAggregations(options);
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const modules = await aggregationsToModules(client, aggregations, options);
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const interval = Math.max(
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return Math.max(
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(await calculateMetricInterval(
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client,
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{
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indexPattern: options.sourceConfiguration.metricAlias,
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timestampField: options.sourceConfiguration.fields.timestamp,
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timerange: { from: options.timerange.from, to: options.timerange.to },
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timerange: { from: timerange.from, to: timerange.to },
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},
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modules,
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options.nodeType
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)) || 60,
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60
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);
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};
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export const createTimeRangeWithInterval = async (
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client: ESSearchClient,
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options: InfraSnapshotRequestOptions
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): Promise<InfraTimerangeInput> => {
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const { timerange } = options;
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const calculatedInterval = await createInterval(client, options);
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if (timerange.ignoreLookback) {
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return {
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interval: `${calculatedInterval}s`,
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from: timerange.from,
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to: timerange.to,
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};
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}
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const lookbackSize = Math.max(timerange.lookbackSize || 5, 5);
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return {
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interval: `${interval}s`,
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from: options.timerange.to - interval * 5000, // We need at least 5 buckets worth of data
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to: options.timerange.to,
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interval: `${calculatedInterval}s`,
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from: timerange.to - calculatedInterval * lookbackSize * 1000, // We need at least 5 buckets worth of data
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to: timerange.to,
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};
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};
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@ -7,6 +7,7 @@
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import { isNumber, last, max, sum, get } from 'lodash';
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import moment from 'moment';
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import { MetricsExplorerSeries } from '../../../common/http_api/metrics_explorer';
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import { getIntervalInSeconds } from '../../utils/get_interval_in_seconds';
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import { InfraSnapshotRequestOptions } from './types';
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import { findInventoryModel } from '../../../common/inventory_models';
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@ -127,12 +128,15 @@ export const getNodeMetrics = (
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};
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}
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const lastBucket = findLastFullBucket(nodeBuckets, options);
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const result = {
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const result: SnapshotNodeMetric = {
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name: options.metric.type,
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value: getMetricValueFromBucket(options.metric.type, lastBucket),
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max: calculateMax(nodeBuckets, options.metric.type),
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avg: calculateAvg(nodeBuckets, options.metric.type),
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};
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if (options.includeTimeseries) {
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result.timeseries = getTimeseriesData(nodeBuckets, options.metric.type);
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}
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return result;
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};
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@ -164,3 +168,20 @@ function calculateMax(buckets: InfraSnapshotMetricsBucket[], type: SnapshotMetri
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function calculateAvg(buckets: InfraSnapshotMetricsBucket[], type: SnapshotMetricType) {
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return sum(buckets.map((bucket) => getMetricValueFromBucket(type, bucket))) / buckets.length || 0;
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}
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function getTimeseriesData(
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buckets: InfraSnapshotMetricsBucket[],
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type: SnapshotMetricType
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): MetricsExplorerSeries {
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return {
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id: type,
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columns: [
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{ name: 'timestamp', type: 'date' },
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{ name: 'metric_0', type: 'number' },
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],
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rows: buckets.map((bucket) => ({
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timestamp: bucket.key as number,
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metric_0: getMetricValueFromBucket(type, bucket),
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})),
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};
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}
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@ -39,6 +39,7 @@ export const initSnapshotRoute = (libs: InfraBackendLibs) => {
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timerange,
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accountId,
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region,
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includeTimeseries,
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} = pipe(
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SnapshotRequestRT.decode(request.body),
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fold(throwErrors(Boom.badRequest), identity)
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@ -57,6 +58,7 @@ export const initSnapshotRoute = (libs: InfraBackendLibs) => {
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sourceConfiguration: source.configuration,
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metric,
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timerange,
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includeTimeseries,
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};
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const searchES = <Hit = {}, Aggregation = undefined>(
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@ -17,7 +17,7 @@ export default function ({ loadTestFile }) {
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loadTestFile(require.resolve('./telemetry'));
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loadTestFile(require.resolve('./logstash'));
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loadTestFile(require.resolve('./kibana'));
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loadTestFile(require.resolve('./infra'));
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loadTestFile(require.resolve('./metrics_ui'));
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loadTestFile(require.resolve('./beats'));
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loadTestFile(require.resolve('./console'));
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loadTestFile(require.resolve('./management'));
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@ -5,7 +5,7 @@
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*/
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export default function ({ loadTestFile }) {
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describe('InfraOps Endpoints', () => {
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describe('MetricsUI Endpoints', () => {
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loadTestFile(require.resolve('./metadata'));
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loadTestFile(require.resolve('./log_analysis'));
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loadTestFile(require.resolve('./log_entries'));
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@ -15,7 +15,7 @@ export default function ({ loadTestFile }) {
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loadTestFile(require.resolve('./log_summary'));
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loadTestFile(require.resolve('./metrics'));
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loadTestFile(require.resolve('./sources'));
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loadTestFile(require.resolve('./waffle'));
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loadTestFile(require.resolve('./snapshot'));
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loadTestFile(require.resolve('./log_item'));
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loadTestFile(require.resolve('./metrics_alerting'));
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loadTestFile(require.resolve('./metrics_explorer'));
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@ -10,25 +10,15 @@ import { first, last } from 'lodash';
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import {
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InfraSnapshotMetricInput,
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InfraNodeType,
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InfraTimerangeInput,
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InfraSnapshotGroupbyInput,
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} from '../../../../plugins/infra/server/graphql/types';
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import { FtrProviderContext } from '../../ftr_provider_context';
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import {
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SnapshotNodeResponse,
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SnapshotMetricInput,
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SnapshotRequest,
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} from '../../../../plugins/infra/common/http_api/snapshot_api';
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import { DATES } from './constants';
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interface SnapshotRequest {
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filterQuery?: string | null;
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metric: SnapshotMetricInput;
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groupBy: InfraSnapshotGroupbyInput[];
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nodeType: InfraNodeType;
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sourceId: string;
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timerange: InfraTimerangeInput;
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}
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export default function ({ getService }: FtrProviderContext) {
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const esArchiver = getService('esArchiver');
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const supertest = getService('supertest');
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@ -200,6 +190,74 @@ export default function ({ getService }: FtrProviderContext) {
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});
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});
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it('should allow for overrides for interval and ignoring lookback', () => {
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const resp = fetchSnapshot({
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sourceId: 'default',
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timerange: {
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to: max,
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from: min,
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interval: '10s',
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forceInterval: true,
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ignoreLookback: true,
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},
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metric: { type: 'cpu' } as InfraSnapshotMetricInput,
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nodeType: 'host' as InfraNodeType,
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groupBy: [],
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includeTimeseries: true,
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});
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return resp.then((data) => {
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const snapshot = data;
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expect(snapshot).to.have.property('nodes');
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if (snapshot) {
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const { nodes } = snapshot;
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expect(nodes.length).to.equal(1);
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const firstNode = first(nodes);
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expect(firstNode).to.have.property('path');
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expect(firstNode.path.length).to.equal(1);
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expect(first(firstNode.path)).to.have.property('value', 'demo-stack-mysql-01');
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expect(first(firstNode.path)).to.have.property('label', 'demo-stack-mysql-01');
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expect(firstNode).to.have.property('metric');
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expect(firstNode.metric).to.have.property('timeseries');
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expect(firstNode.metric.timeseries?.rows.length).to.equal(58);
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const rows = firstNode.metric.timeseries?.rows;
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const rowInterval = (rows?.[1]?.timestamp || 0) - (rows?.[0]?.timestamp || 0);
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expect(rowInterval).to.equal(10000);
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}
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});
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});
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it('should allow for overrides for lookback', () => {
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const resp = fetchSnapshot({
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sourceId: 'default',
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timerange: {
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to: max,
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from: min,
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interval: '1m',
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lookbackSize: 6,
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},
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metric: { type: 'cpu' } as InfraSnapshotMetricInput,
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nodeType: 'host' as InfraNodeType,
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groupBy: [],
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includeTimeseries: true,
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});
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return resp.then((data) => {
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const snapshot = data;
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expect(snapshot).to.have.property('nodes');
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if (snapshot) {
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const { nodes } = snapshot;
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expect(nodes.length).to.equal(1);
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const firstNode = first(nodes);
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expect(firstNode).to.have.property('path');
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expect(firstNode.path.length).to.equal(1);
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expect(first(firstNode.path)).to.have.property('value', 'demo-stack-mysql-01');
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expect(first(firstNode.path)).to.have.property('label', 'demo-stack-mysql-01');
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expect(firstNode).to.have.property('metric');
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expect(firstNode.metric).to.have.property('timeseries');
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expect(firstNode.metric.timeseries?.rows.length).to.equal(7);
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}
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});
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});
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it('should work with custom metrics', async () => {
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const data = await fetchSnapshot({
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sourceId: 'default',
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