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* Calculate min period based on time range and no of queries * Use hardcoded array of periods if period is not defined actively by the user * Fix broken tests * Use a smaller max period for auto interval * Fix broken tests * Test period calculation * Test min retention period * Fix broken test
799 lines
25 KiB
TypeScript
799 lines
25 KiB
TypeScript
import '../datasource';
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import CloudWatchDatasource from '../datasource';
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import * as redux from 'app/store/store';
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import { dateMath } from '@grafana/data';
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import { TemplateSrv } from 'app/features/templating/template_srv';
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import { CustomVariable } from 'app/features/templating/all';
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import _ from 'lodash';
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import { CloudWatchQuery } from '../types';
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import { DataSourceInstanceSettings } from '@grafana/data';
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import { BackendSrv } from 'app/core/services/backend_srv';
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import { TimeSrv } from 'app/features/dashboard/services/TimeSrv';
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describe('CloudWatchDatasource', () => {
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const instanceSettings = {
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jsonData: { defaultRegion: 'us-east-1' },
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name: 'TestDatasource',
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} as DataSourceInstanceSettings;
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const templateSrv = new TemplateSrv();
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const start = 1483196400 * 1000;
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const defaultTimeRange = { from: new Date(start), to: new Date(start + 3600 * 1000) };
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const timeSrv = {
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time: { from: 'now-1h', to: 'now' },
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timeRange: () => {
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return {
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from: dateMath.parse(timeSrv.time.from, false),
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to: dateMath.parse(timeSrv.time.to, true),
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};
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},
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} as TimeSrv;
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const backendSrv = {} as BackendSrv;
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const ctx = {
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backendSrv,
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templateSrv,
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} as any;
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beforeEach(() => {
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ctx.ds = new CloudWatchDatasource(instanceSettings, backendSrv, templateSrv, timeSrv);
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});
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describe('When performing CloudWatch query', () => {
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let requestParams: { queries: CloudWatchQuery[] };
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const query = {
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range: defaultTimeRange,
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rangeRaw: { from: 1483228800, to: 1483232400 },
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targets: [
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{
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expression: '',
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refId: 'A',
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region: 'us-east-1',
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namespace: 'AWS/EC2',
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metricName: 'CPUUtilization',
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dimensions: {
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InstanceId: 'i-12345678',
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},
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statistics: ['Average'],
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period: '300',
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},
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],
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};
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const response: any = {
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timings: [null],
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results: {
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A: {
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error: '',
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refId: 'A',
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meta: { gmdMeta: [] },
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series: [
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{
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name: 'CPUUtilization_Average',
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points: [
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[1, 1483228800000],
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[2, 1483229100000],
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[5, 1483229700000],
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],
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tags: {
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InstanceId: 'i-12345678',
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},
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},
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],
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},
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},
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};
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beforeEach(() => {
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ctx.backendSrv.datasourceRequest = jest.fn(params => {
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requestParams = params.data;
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return Promise.resolve({ data: response });
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});
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});
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it('should generate the correct query', done => {
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ctx.ds.query(query).then(() => {
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const params = requestParams.queries[0];
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expect(params.namespace).toBe(query.targets[0].namespace);
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expect(params.metricName).toBe(query.targets[0].metricName);
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expect(params.dimensions['InstanceId']).toStrictEqual(['i-12345678']);
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expect(params.statistics).toEqual(query.targets[0].statistics);
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expect(params.period).toBe(query.targets[0].period);
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done();
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});
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});
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it('should generate the correct query with interval variable', done => {
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templateSrv.init([
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new CustomVariable(
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{
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name: 'period',
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current: {
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value: '10m',
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},
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multi: false,
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},
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{} as any
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),
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]);
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const query = {
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range: defaultTimeRange,
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rangeRaw: { from: 1483228800, to: 1483232400 },
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targets: [
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{
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refId: 'A',
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region: 'us-east-1',
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namespace: 'AWS/EC2',
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metricName: 'CPUUtilization',
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dimensions: {
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InstanceId: 'i-12345678',
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},
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statistics: ['Average'],
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period: '[[period]]',
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},
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],
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};
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ctx.ds.query(query).then(() => {
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const params = requestParams.queries[0];
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expect(params.period).toBe('600');
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done();
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});
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});
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it.each(['pNN.NN', 'p9', 'p99.', 'p99.999'])('should cancel query for invalid extended statistics (%s)', stat => {
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const query = {
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range: defaultTimeRange,
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rangeRaw: { from: 1483228800, to: 1483232400 },
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targets: [
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{
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refId: 'A',
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region: 'us-east-1',
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namespace: 'AWS/EC2',
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metricName: 'CPUUtilization',
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dimensions: {
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InstanceId: 'i-12345678',
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},
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statistics: [stat],
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period: '60s',
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},
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],
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};
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expect(ctx.ds.query.bind(ctx.ds, query)).toThrow(/Invalid extended statistics/);
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});
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it('should return series list', done => {
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ctx.ds.query(query).then((result: any) => {
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expect(result.data[0].name).toBe(response.results.A.series[0].name);
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expect(result.data[0].fields[0].values.buffer[0]).toBe(response.results.A.series[0].points[0][0]);
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done();
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});
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});
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describe('a correct cloudwatch url should be built for each time series in the response', () => {
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beforeEach(() => {
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ctx.backendSrv.datasourceRequest = jest.fn(params => {
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requestParams = params.data;
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return Promise.resolve({ data: response });
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});
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});
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it('should be built correctly if theres one search expressions returned in meta for a given query row', done => {
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response.results['A'].meta.gmdMeta = [{ Expression: `REMOVE_EMPTY(SEARCH('some expression'))`, Period: '300' }];
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ctx.ds.query(query).then((result: any) => {
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expect(result.data[0].name).toBe(response.results.A.series[0].name);
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expect(result.data[0].fields[0].config.links[0].title).toBe('View in CloudWatch console');
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expect(decodeURIComponent(result.data[0].fields[0].config.links[0].url)).toContain(
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`region=us-east-1#metricsV2:graph={"view":"timeSeries","stacked":false,"title":"A","start":"2016-12-31T15:00:00.000Z","end":"2016-12-31T16:00:00.000Z","region":"us-east-1","metrics":[{"expression":"REMOVE_EMPTY(SEARCH(\'some expression\'))"}]}`
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);
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done();
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});
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});
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it('should be built correctly if theres two search expressions returned in meta for a given query row', done => {
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response.results['A'].meta.gmdMeta = [
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{ Expression: `REMOVE_EMPTY(SEARCH('first expression'))` },
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{ Expression: `REMOVE_EMPTY(SEARCH('second expression'))` },
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];
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ctx.ds.query(query).then((result: any) => {
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expect(result.data[0].name).toBe(response.results.A.series[0].name);
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expect(result.data[0].fields[0].config.links[0].title).toBe('View in CloudWatch console');
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expect(decodeURIComponent(result.data[0].fields[0].config.links[0].url)).toContain(
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`region=us-east-1#metricsV2:graph={"view":"timeSeries","stacked":false,"title":"A","start":"2016-12-31T15:00:00.000Z","end":"2016-12-31T16:00:00.000Z","region":"us-east-1","metrics":[{"expression":"REMOVE_EMPTY(SEARCH(\'first expression\'))"},{"expression":"REMOVE_EMPTY(SEARCH(\'second expression\'))"}]}`
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);
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done();
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});
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});
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it('should be built correctly if the query is a metric stat query', done => {
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response.results['A'].meta.gmdMeta = [{ Period: '300' }];
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ctx.ds.query(query).then((result: any) => {
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expect(result.data[0].name).toBe(response.results.A.series[0].name);
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expect(result.data[0].fields[0].config.links[0].title).toBe('View in CloudWatch console');
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expect(decodeURIComponent(result.data[0].fields[0].config.links[0].url)).toContain(
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`region=us-east-1#metricsV2:graph={\"view\":\"timeSeries\",\"stacked\":false,\"title\":\"A\",\"start\":\"2016-12-31T15:00:00.000Z\",\"end\":\"2016-12-31T16:00:00.000Z\",\"region\":\"us-east-1\",\"metrics\":[[\"AWS/EC2\",\"CPUUtilization\",\"InstanceId\",\"i-12345678\",{\"stat\":\"Average\",\"period\":\"300\"}]]}`
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);
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done();
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});
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});
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it('should not be added at all if query is a math expression', done => {
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query.targets[0].expression = 'a * 2';
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response.results['A'].meta.searchExpressions = [];
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ctx.ds.query(query).then((result: any) => {
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expect(result.data[0].fields[0].config.links).toBeUndefined();
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done();
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});
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});
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});
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describe('and throttling exception is thrown', () => {
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const partialQuery = {
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namespace: 'AWS/EC2',
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metricName: 'CPUUtilization',
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dimensions: {
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InstanceId: 'i-12345678',
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},
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statistics: ['Average'],
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period: '300',
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expression: '',
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};
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const query = {
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range: defaultTimeRange,
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rangeRaw: { from: 1483228800, to: 1483232400 },
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targets: [
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{ ...partialQuery, refId: 'A', region: 'us-east-1' },
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{ ...partialQuery, refId: 'B', region: 'us-east-2' },
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{ ...partialQuery, refId: 'C', region: 'us-east-1' },
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{ ...partialQuery, refId: 'D', region: 'us-east-2' },
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{ ...partialQuery, refId: 'E', region: 'eu-north-1' },
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],
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};
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const backendErrorResponse = {
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data: {
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message: 'Throttling: exception',
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results: {
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A: {
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error: 'Throttling: exception',
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refId: 'A',
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meta: {},
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},
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B: {
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error: 'Throttling: exception',
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refId: 'B',
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meta: {},
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},
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C: {
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error: 'Throttling: exception',
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refId: 'C',
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meta: {},
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},
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D: {
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error: 'Throttling: exception',
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refId: 'D',
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meta: {},
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},
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E: {
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error: 'Throttling: exception',
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refId: 'E',
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meta: {},
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},
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},
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},
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};
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beforeEach(() => {
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redux.setStore({
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dispatch: jest.fn(),
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} as any);
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ctx.backendSrv.datasourceRequest = jest.fn(() => {
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return Promise.reject(backendErrorResponse);
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});
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});
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it('should display one alert error message per region+datasource combination', done => {
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const memoizedDebounceSpy = jest.spyOn(ctx.ds, 'debouncedAlert');
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ctx.ds.query(query).catch(() => {
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expect(memoizedDebounceSpy).toHaveBeenCalledWith('TestDatasource', 'us-east-1');
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expect(memoizedDebounceSpy).toHaveBeenCalledWith('TestDatasource', 'us-east-2');
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expect(memoizedDebounceSpy).toHaveBeenCalledWith('TestDatasource', 'eu-north-1');
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expect(memoizedDebounceSpy).toBeCalledTimes(3);
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done();
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});
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});
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});
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describe('when regions query is used', () => {
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beforeEach(() => {
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ctx.backendSrv.datasourceRequest = jest.fn(() => {
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return Promise.resolve({});
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});
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ctx.ds = new CloudWatchDatasource(instanceSettings, backendSrv, templateSrv, timeSrv);
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ctx.ds.doMetricQueryRequest = jest.fn(() => []);
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});
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describe('and region param is left out', () => {
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it('should use the default region', done => {
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ctx.ds.metricFindQuery('metrics(testNamespace)').then(() => {
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expect(ctx.ds.doMetricQueryRequest).toHaveBeenCalledWith('metrics', {
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namespace: 'testNamespace',
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region: instanceSettings.jsonData.defaultRegion,
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});
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done();
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});
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});
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});
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describe('and region param is defined by user', () => {
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it('should use the user defined region', done => {
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ctx.ds.metricFindQuery('metrics(testNamespace2, custom-region)').then(() => {
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expect(ctx.ds.doMetricQueryRequest).toHaveBeenCalledWith('metrics', {
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namespace: 'testNamespace2',
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region: 'custom-region',
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});
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done();
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});
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});
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});
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});
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});
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describe('When query region is "default"', () => {
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it('should return the datasource region if empty or "default"', () => {
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const defaultRegion = instanceSettings.jsonData.defaultRegion;
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expect(ctx.ds.getActualRegion()).toBe(defaultRegion);
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expect(ctx.ds.getActualRegion('')).toBe(defaultRegion);
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expect(ctx.ds.getActualRegion('default')).toBe(defaultRegion);
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});
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it('should return the specified region if specified', () => {
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expect(ctx.ds.getActualRegion('some-fake-region-1')).toBe('some-fake-region-1');
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});
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let requestParams: { queries: CloudWatchQuery[] };
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beforeEach(() => {
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ctx.ds.performTimeSeriesQuery = jest.fn(request => {
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requestParams = request;
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return Promise.resolve({ data: {} });
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});
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});
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it('should query for the datasource region if empty or "default"', done => {
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const query = {
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range: defaultTimeRange,
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rangeRaw: { from: 1483228800, to: 1483232400 },
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targets: [
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{
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refId: 'A',
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region: 'default',
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namespace: 'AWS/EC2',
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metricName: 'CPUUtilization',
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dimensions: {
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InstanceId: 'i-12345678',
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},
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statistics: ['Average'],
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period: '300s',
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},
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],
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};
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ctx.ds.query(query).then((result: any) => {
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expect(requestParams.queries[0].region).toBe(instanceSettings.jsonData.defaultRegion);
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done();
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});
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});
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});
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describe('When performing CloudWatch query for extended statistics', () => {
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const query = {
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range: defaultTimeRange,
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rangeRaw: { from: 1483228800, to: 1483232400 },
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targets: [
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{
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refId: 'A',
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region: 'us-east-1',
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namespace: 'AWS/ApplicationELB',
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metricName: 'TargetResponseTime',
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dimensions: {
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LoadBalancer: 'lb',
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TargetGroup: 'tg',
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},
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statistics: ['p90.00'],
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period: '300s',
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},
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],
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};
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const response: any = {
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timings: [null],
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results: {
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A: {
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error: '',
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refId: 'A',
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meta: {
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gmdMeta: [
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{
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Period: 300,
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},
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],
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},
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series: [
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{
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name: 'TargetResponseTime_p90.00',
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points: [
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[1, 1483228800000],
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[2, 1483229100000],
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[5, 1483229700000],
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],
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tags: {
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LoadBalancer: 'lb',
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TargetGroup: 'tg',
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},
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},
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],
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},
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},
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};
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beforeEach(() => {
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ctx.backendSrv.datasourceRequest = jest.fn(params => {
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return Promise.resolve({ data: response });
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});
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});
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it('should return series list', done => {
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ctx.ds.query(query).then((result: any) => {
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expect(result.data[0].name).toBe(response.results.A.series[0].name);
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expect(result.data[0].fields[0].values.buffer[0]).toBe(response.results.A.series[0].points[0][0]);
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done();
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});
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});
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});
|
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|
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describe('When performing CloudWatch query with template variables', () => {
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let requestParams: { queries: CloudWatchQuery[] };
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beforeEach(() => {
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templateSrv.init([
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new CustomVariable(
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{
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name: 'var1',
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current: {
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value: 'var1-foo',
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},
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multi: false,
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},
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{} as any
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),
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new CustomVariable(
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{
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name: 'var2',
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current: {
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value: 'var2-foo',
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},
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multi: false,
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},
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{} as any
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),
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new CustomVariable(
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{
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name: 'var3',
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options: [
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{ selected: true, value: 'var3-foo' },
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{ selected: false, value: 'var3-bar' },
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{ selected: true, value: 'var3-baz' },
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],
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current: {
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value: ['var3-foo', 'var3-baz'],
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},
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multi: true,
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},
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{} as any
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),
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new CustomVariable(
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{
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name: 'var4',
|
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options: [
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{ selected: true, value: 'var4-foo' },
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{ selected: false, value: 'var4-bar' },
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{ selected: true, value: 'var4-baz' },
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],
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current: {
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value: ['var4-foo', 'var4-baz'],
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},
|
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multi: true,
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},
|
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{} as any
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),
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]);
|
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|
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ctx.backendSrv.datasourceRequest = jest.fn(params => {
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requestParams = params.data;
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return Promise.resolve({ data: {} });
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});
|
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});
|
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|
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it('should generate the correct query for single template variable', done => {
|
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const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
refId: 'A',
|
|
region: 'us-east-1',
|
|
namespace: 'TestNamespace',
|
|
metricName: 'TestMetricName',
|
|
dimensions: {
|
|
dim2: '[[var2]]',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '300s',
|
|
},
|
|
],
|
|
};
|
|
|
|
ctx.ds.query(query).then(() => {
|
|
expect(requestParams.queries[0].dimensions['dim2']).toStrictEqual(['var2-foo']);
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should generate the correct query in the case of one multilple template variables', done => {
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
refId: 'A',
|
|
region: 'us-east-1',
|
|
namespace: 'TestNamespace',
|
|
metricName: 'TestMetricName',
|
|
dimensions: {
|
|
dim1: '[[var1]]',
|
|
dim2: '[[var2]]',
|
|
dim3: '[[var3]]',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '300s',
|
|
},
|
|
],
|
|
scopedVars: {
|
|
var1: { selected: true, value: 'var1-foo' },
|
|
var2: { selected: true, value: 'var2-foo' },
|
|
},
|
|
};
|
|
|
|
ctx.ds.query(query).then(() => {
|
|
expect(requestParams.queries[0].dimensions['dim1']).toStrictEqual(['var1-foo']);
|
|
expect(requestParams.queries[0].dimensions['dim2']).toStrictEqual(['var2-foo']);
|
|
expect(requestParams.queries[0].dimensions['dim3']).toStrictEqual(['var3-foo', 'var3-baz']);
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should generate the correct query in the case of multilple multi template variables', done => {
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
refId: 'A',
|
|
region: 'us-east-1',
|
|
namespace: 'TestNamespace',
|
|
metricName: 'TestMetricName',
|
|
dimensions: {
|
|
dim1: '[[var1]]',
|
|
dim3: '[[var3]]',
|
|
dim4: '[[var4]]',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '300s',
|
|
},
|
|
],
|
|
};
|
|
|
|
ctx.ds.query(query).then(() => {
|
|
expect(requestParams.queries[0].dimensions['dim1']).toStrictEqual(['var1-foo']);
|
|
expect(requestParams.queries[0].dimensions['dim3']).toStrictEqual(['var3-foo', 'var3-baz']);
|
|
expect(requestParams.queries[0].dimensions['dim4']).toStrictEqual(['var4-foo', 'var4-baz']);
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should generate the correct query for multilple template variables, lack scopedVars', done => {
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
refId: 'A',
|
|
region: 'us-east-1',
|
|
namespace: 'TestNamespace',
|
|
metricName: 'TestMetricName',
|
|
dimensions: {
|
|
dim1: '[[var1]]',
|
|
dim2: '[[var2]]',
|
|
dim3: '[[var3]]',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '300',
|
|
},
|
|
],
|
|
scopedVars: {
|
|
var1: { selected: true, value: 'var1-foo' },
|
|
},
|
|
};
|
|
|
|
ctx.ds.query(query).then(() => {
|
|
expect(requestParams.queries[0].dimensions['dim1']).toStrictEqual(['var1-foo']);
|
|
expect(requestParams.queries[0].dimensions['dim2']).toStrictEqual(['var2-foo']);
|
|
expect(requestParams.queries[0].dimensions['dim3']).toStrictEqual(['var3-foo', 'var3-baz']);
|
|
done();
|
|
});
|
|
});
|
|
});
|
|
|
|
function describeMetricFindQuery(query: any, func: any) {
|
|
describe('metricFindQuery ' + query, () => {
|
|
const scenario: any = {};
|
|
scenario.setup = async (setupCallback: any) => {
|
|
beforeEach(async () => {
|
|
await setupCallback();
|
|
ctx.backendSrv.datasourceRequest = jest.fn(args => {
|
|
scenario.request = args.data;
|
|
return Promise.resolve({ data: scenario.requestResponse });
|
|
});
|
|
ctx.ds.metricFindQuery(query).then((args: any) => {
|
|
scenario.result = args;
|
|
});
|
|
});
|
|
};
|
|
|
|
func(scenario);
|
|
});
|
|
}
|
|
|
|
describeMetricFindQuery('regions()', async (scenario: any) => {
|
|
await scenario.setup(() => {
|
|
scenario.requestResponse = {
|
|
results: {
|
|
metricFindQuery: {
|
|
tables: [{ rows: [['us-east-1', 'us-east-1']] }],
|
|
},
|
|
},
|
|
};
|
|
});
|
|
|
|
it('should call __GetRegions and return result', () => {
|
|
expect(scenario.result[0].text).toContain('us-east-1');
|
|
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
|
|
expect(scenario.request.queries[0].subtype).toBe('regions');
|
|
});
|
|
});
|
|
|
|
describeMetricFindQuery('namespaces()', async (scenario: any) => {
|
|
await scenario.setup(() => {
|
|
scenario.requestResponse = {
|
|
results: {
|
|
metricFindQuery: {
|
|
tables: [{ rows: [['AWS/EC2', 'AWS/EC2']] }],
|
|
},
|
|
},
|
|
};
|
|
});
|
|
|
|
it('should call __GetNamespaces and return result', () => {
|
|
expect(scenario.result[0].text).toContain('AWS/EC2');
|
|
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
|
|
expect(scenario.request.queries[0].subtype).toBe('namespaces');
|
|
});
|
|
});
|
|
|
|
describeMetricFindQuery('metrics(AWS/EC2, us-east-2)', async (scenario: any) => {
|
|
await scenario.setup(() => {
|
|
scenario.requestResponse = {
|
|
results: {
|
|
metricFindQuery: {
|
|
tables: [{ rows: [['CPUUtilization', 'CPUUtilization']] }],
|
|
},
|
|
},
|
|
};
|
|
});
|
|
|
|
it('should call __GetMetrics and return result', () => {
|
|
expect(scenario.result[0].text).toBe('CPUUtilization');
|
|
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
|
|
expect(scenario.request.queries[0].subtype).toBe('metrics');
|
|
});
|
|
});
|
|
|
|
describeMetricFindQuery('dimension_keys(AWS/EC2)', async (scenario: any) => {
|
|
await scenario.setup(() => {
|
|
scenario.requestResponse = {
|
|
results: {
|
|
metricFindQuery: {
|
|
tables: [{ rows: [['InstanceId', 'InstanceId']] }],
|
|
},
|
|
},
|
|
};
|
|
});
|
|
|
|
it('should call __GetDimensions and return result', () => {
|
|
console.log({ a: scenario.requestResponse.results });
|
|
expect(scenario.result[0].text).toBe('InstanceId');
|
|
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
|
|
expect(scenario.request.queries[0].subtype).toBe('dimension_keys');
|
|
});
|
|
});
|
|
|
|
describeMetricFindQuery('dimension_values(us-east-1,AWS/EC2,CPUUtilization,InstanceId)', async (scenario: any) => {
|
|
await scenario.setup(() => {
|
|
scenario.requestResponse = {
|
|
results: {
|
|
metricFindQuery: {
|
|
tables: [{ rows: [['i-12345678', 'i-12345678']] }],
|
|
},
|
|
},
|
|
};
|
|
});
|
|
|
|
it('should call __ListMetrics and return result', () => {
|
|
expect(scenario.result[0].text).toContain('i-12345678');
|
|
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
|
|
expect(scenario.request.queries[0].subtype).toBe('dimension_values');
|
|
});
|
|
});
|
|
|
|
describeMetricFindQuery('dimension_values(default,AWS/EC2,CPUUtilization,InstanceId)', async (scenario: any) => {
|
|
await scenario.setup(() => {
|
|
scenario.requestResponse = {
|
|
results: {
|
|
metricFindQuery: {
|
|
tables: [{ rows: [['i-12345678', 'i-12345678']] }],
|
|
},
|
|
},
|
|
};
|
|
});
|
|
|
|
it('should call __ListMetrics and return result', () => {
|
|
expect(scenario.result[0].text).toContain('i-12345678');
|
|
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
|
|
expect(scenario.request.queries[0].subtype).toBe('dimension_values');
|
|
});
|
|
});
|
|
|
|
describeMetricFindQuery(
|
|
'resource_arns(default,ec2:instance,{"environment":["production"]})',
|
|
async (scenario: any) => {
|
|
await scenario.setup(() => {
|
|
scenario.requestResponse = {
|
|
results: {
|
|
metricFindQuery: {
|
|
tables: [
|
|
{
|
|
rows: [
|
|
[
|
|
'arn:aws:ec2:us-east-1:123456789012:instance/i-12345678901234567',
|
|
'arn:aws:ec2:us-east-1:123456789012:instance/i-76543210987654321',
|
|
],
|
|
],
|
|
},
|
|
],
|
|
},
|
|
},
|
|
};
|
|
});
|
|
|
|
it('should call __ListMetrics and return result', () => {
|
|
expect(scenario.result[0].text).toContain('arn:aws:ec2:us-east-1:123456789012:instance/i-12345678901234567');
|
|
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
|
|
expect(scenario.request.queries[0].subtype).toBe('resource_arns');
|
|
});
|
|
}
|
|
);
|
|
});
|