2017-12-20 12:33:33 +01:00
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import '../datasource';
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import CloudWatchDatasource from '../datasource';
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2019-11-14 10:59:41 +01:00
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import * as redux from 'app/store/store';
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2020-04-03 09:38:14 +02:00
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import { DataSourceInstanceSettings, dateMath } from '@grafana/data';
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2019-04-12 21:00:41 +09:00
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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 { CloudWatchQuery } from '../types';
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2020-01-21 09:08:07 +00:00
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import { backendSrv } from 'app/core/services/backend_srv'; // will use the version in __mocks__
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2019-05-08 00:37:50 -07:00
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import { TimeSrv } from 'app/features/dashboard/services/TimeSrv';
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2020-04-03 09:38:14 +02:00
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import { convertToStoreState } from '../../../../../test/helpers/convertToStoreState';
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import { getTemplateSrvDependencies } from 'test/helpers/getTemplateSrvDependencies';
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2015-10-01 17:00:41 +02:00
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2020-01-21 09:08:07 +00:00
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jest.mock('@grafana/runtime', () => ({
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...jest.requireActual('@grafana/runtime'),
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getBackendSrv: () => backendSrv,
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}));
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2018-09-04 15:55:41 +02:00
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describe('CloudWatchDatasource', () => {
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2020-01-21 09:08:07 +00:00
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const datasourceRequestMock = jest.spyOn(backendSrv, 'datasourceRequest');
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2018-08-26 17:14:40 +02:00
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const instanceSettings = {
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2019-05-08 00:37:50 -07:00
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jsonData: { defaultRegion: 'us-east-1' },
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2019-11-14 10:59:41 +01:00
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name: 'TestDatasource',
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2019-05-08 00:37:50 -07:00
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} as DataSourceInstanceSettings;
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2018-07-09 12:52:56 +02:00
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2020-04-03 09:38:14 +02:00
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let templateSrv = new TemplateSrv();
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2019-10-29 17:02:55 +01:00
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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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2018-07-04 11:16:31 +02:00
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2018-08-26 17:14:40 +02:00
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const timeSrv = {
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2018-07-04 11:16:31 +02:00
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time: { from: 'now-1h', to: 'now' },
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2018-07-09 15:42:34 +02:00
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timeRange: () => {
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2018-07-04 11:16:31 +02:00
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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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2018-07-09 15:42:34 +02:00
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},
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2019-05-08 00:37:50 -07:00
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} as TimeSrv;
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2020-01-21 09:08:07 +00:00
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2018-09-03 11:30:44 +02:00
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const ctx = {
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2018-07-03 13:21:59 +02:00
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templateSrv,
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2018-09-03 11:30:44 +02:00
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} as any;
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2015-10-01 17:00:41 +02:00
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2018-07-03 13:20:36 +02:00
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beforeEach(() => {
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2020-01-21 09:08:07 +00:00
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ctx.ds = new CloudWatchDatasource(instanceSettings, templateSrv, timeSrv);
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jest.clearAllMocks();
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2018-07-03 13:20:36 +02:00
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});
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2015-10-01 17:00:41 +02:00
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2018-09-04 15:55:41 +02:00
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describe('When performing CloudWatch query', () => {
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2019-04-12 21:00:41 +09:00
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let requestParams: { queries: CloudWatchQuery[] };
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2015-10-01 17:00:41 +02:00
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2018-08-26 18:43:07 +02:00
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const query = {
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2019-10-29 17:02:55 +01:00
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range: defaultTimeRange,
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2017-04-03 21:50:40 +09:00
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rangeRaw: { from: 1483228800, to: 1483232400 },
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2015-10-01 17:00:41 +02:00
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targets: [
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{
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2019-11-14 10:59:41 +01:00
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expression: '',
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2019-04-12 20:57:39 +09:00
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refId: 'A',
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2017-12-20 12:33:33 +01:00
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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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2015-10-01 17:00:41 +02:00
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dimensions: {
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2017-12-20 12:33:33 +01:00
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InstanceId: 'i-12345678',
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2015-10-01 17:00:41 +02:00
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},
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2017-12-20 12:33:33 +01:00
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statistics: ['Average'],
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period: '300',
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},
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],
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2015-10-01 17:00:41 +02:00
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};
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2019-07-11 17:05:45 +02:00
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const response: any = {
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2017-04-03 21:50:40 +09:00
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timings: [null],
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results: {
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A: {
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2017-12-20 12:33:33 +01:00
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error: '',
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refId: 'A',
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2020-01-17 13:22:43 +01:00
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meta: { gmdMeta: [] },
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2017-04-03 21:50:40 +09:00
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series: [
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{
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2017-12-20 12:33:33 +01:00
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name: 'CPUUtilization_Average',
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2019-11-19 13:59:39 +00:00
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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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2017-04-03 21:50:40 +09:00
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tags: {
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2017-12-20 12:33:33 +01:00
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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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2015-10-01 17:00:41 +02:00
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};
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2018-07-09 12:52:56 +02:00
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beforeEach(() => {
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2020-01-21 09:08:07 +00:00
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datasourceRequestMock.mockImplementation(params => {
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2017-11-12 00:41:14 +09:00
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requestParams = params.data;
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2018-07-03 13:20:36 +02:00
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return Promise.resolve({ data: response });
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});
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2015-10-01 17:00:41 +02:00
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});
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2018-09-04 15:55:41 +02:00
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it('should generate the correct query', done => {
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ctx.ds.query(query).then(() => {
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2018-08-26 18:43:07 +02:00
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const params = requestParams.queries[0];
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2018-07-03 13:20:36 +02:00
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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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2019-11-14 10:59:41 +01:00
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expect(params.dimensions['InstanceId']).toStrictEqual(['i-12345678']);
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2018-07-03 13:20:36 +02:00
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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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2015-10-01 17:00:41 +02:00
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done();
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});
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});
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2018-09-04 15:55:41 +02:00
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it('should generate the correct query with interval variable', done => {
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2019-04-12 21:00:41 +09:00
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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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2019-07-16 11:35:42 +02:00
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{} as any
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2019-04-12 21:00:41 +09:00
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),
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]);
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2016-04-19 23:14:41 +09:00
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2018-08-26 18:43:07 +02:00
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const query = {
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2019-10-29 17:02:55 +01:00
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range: defaultTimeRange,
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2017-04-03 21:50:40 +09:00
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rangeRaw: { from: 1483228800, to: 1483232400 },
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2016-04-19 23:14:41 +09:00
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targets: [
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{
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2019-04-12 20:57:39 +09:00
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refId: 'A',
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2017-12-20 12:33:33 +01:00
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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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2016-04-19 23:14:41 +09:00
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dimensions: {
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2017-12-20 12:33:33 +01:00
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InstanceId: 'i-12345678',
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2016-04-19 23:14:41 +09:00
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},
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2017-12-20 12:33:33 +01:00
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statistics: ['Average'],
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period: '[[period]]',
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},
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],
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2016-04-19 23:14:41 +09:00
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};
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2018-09-04 15:55:41 +02:00
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ctx.ds.query(query).then(() => {
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2018-08-26 18:43:07 +02:00
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const params = requestParams.queries[0];
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2018-07-03 13:20:36 +02:00
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expect(params.period).toBe('600');
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2016-04-19 23:14:41 +09:00
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done();
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});
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});
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2018-10-11 14:00:34 -05:00
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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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2018-08-26 18:43:07 +02:00
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const query = {
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2019-10-29 17:02:55 +01:00
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range: defaultTimeRange,
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2018-07-12 03:23:38 +09:00
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rangeRaw: { from: 1483228800, to: 1483232400 },
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targets: [
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{
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2019-04-12 20:57:39 +09:00
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refId: 'A',
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2018-07-12 03:23:38 +09:00
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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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2018-10-11 14:00:34 -05:00
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statistics: [stat],
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2018-07-12 03:23:38 +09:00
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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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2018-09-04 15:55:41 +02:00
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it('should return series list', done => {
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2019-07-11 17:05:45 +02:00
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ctx.ds.query(query).then((result: any) => {
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2019-10-29 17:02:55 +01:00
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expect(result.data[0].name).toBe(response.results.A.series[0].name);
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2020-04-03 11:11:28 -07:00
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expect(result.data[0].fields[1].values.buffer[0]).toBe(response.results.A.series[0].points[0][0]);
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2015-11-14 17:43:44 +09:00
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done();
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});
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});
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2019-11-14 10:59:41 +01:00
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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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2020-01-21 09:08:07 +00:00
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datasourceRequestMock.mockImplementation(params => {
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2019-11-14 10:59:41 +01:00
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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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2020-01-17 13:22:43 +01:00
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response.results['A'].meta.gmdMeta = [{ Expression: `REMOVE_EMPTY(SEARCH('some expression'))`, Period: '300' }];
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2019-11-14 10:59:41 +01:00
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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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2020-04-03 11:11:28 -07:00
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expect(result.data[0].fields[1].config.links[0].title).toBe('View in CloudWatch console');
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expect(decodeURIComponent(result.data[0].fields[1].config.links[0].url)).toContain(
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2019-11-14 10:59:41 +01:00
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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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2020-04-03 11:11:28 -07:00
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expect(result.data[0].fields[1].config.links[0].title).toBe('View in CloudWatch console');
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2019-11-14 10:59:41 +01:00
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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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2020-01-17 13:22:43 +01:00
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response.results['A'].meta.gmdMeta = [{ Period: '300' }];
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2019-11-14 10:59:41 +01:00
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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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2020-04-03 11:11:28 -07:00
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expect(result.data[0].fields[1].config.links[0].title).toBe('View in CloudWatch console');
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2019-11-14 10:59:41 +01:00
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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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2020-04-03 11:11:28 -07:00
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expect(result.data[0].fields[1].config.links).toBeUndefined();
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2019-11-14 10:59:41 +01:00
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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' },
|
|
|
|
|
{ ...partialQuery, refId: 'C', region: 'us-east-1' },
|
|
|
|
|
{ ...partialQuery, refId: 'D', region: 'us-east-2' },
|
|
|
|
|
{ ...partialQuery, refId: 'E', region: 'eu-north-1' },
|
|
|
|
|
],
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
const backendErrorResponse = {
|
|
|
|
|
data: {
|
|
|
|
|
message: 'Throttling: exception',
|
|
|
|
|
results: {
|
|
|
|
|
A: {
|
|
|
|
|
error: 'Throttling: exception',
|
|
|
|
|
refId: 'A',
|
|
|
|
|
meta: {},
|
|
|
|
|
},
|
|
|
|
|
B: {
|
|
|
|
|
error: 'Throttling: exception',
|
|
|
|
|
refId: 'B',
|
|
|
|
|
meta: {},
|
|
|
|
|
},
|
|
|
|
|
C: {
|
|
|
|
|
error: 'Throttling: exception',
|
|
|
|
|
refId: 'C',
|
|
|
|
|
meta: {},
|
|
|
|
|
},
|
|
|
|
|
D: {
|
|
|
|
|
error: 'Throttling: exception',
|
|
|
|
|
refId: 'D',
|
|
|
|
|
meta: {},
|
|
|
|
|
},
|
|
|
|
|
E: {
|
|
|
|
|
error: 'Throttling: exception',
|
|
|
|
|
refId: 'E',
|
|
|
|
|
meta: {},
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
beforeEach(() => {
|
|
|
|
|
redux.setStore({
|
|
|
|
|
dispatch: jest.fn(),
|
2019-11-15 15:38:25 +00:00
|
|
|
} as any);
|
2019-11-14 10:59:41 +01:00
|
|
|
|
2020-01-21 09:08:07 +00:00
|
|
|
datasourceRequestMock.mockImplementation(() => {
|
2019-11-14 10:59:41 +01:00
|
|
|
return Promise.reject(backendErrorResponse);
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('should display one alert error message per region+datasource combination', done => {
|
|
|
|
|
const memoizedDebounceSpy = jest.spyOn(ctx.ds, 'debouncedAlert');
|
|
|
|
|
ctx.ds.query(query).catch(() => {
|
|
|
|
|
expect(memoizedDebounceSpy).toHaveBeenCalledWith('TestDatasource', 'us-east-1');
|
|
|
|
|
expect(memoizedDebounceSpy).toHaveBeenCalledWith('TestDatasource', 'us-east-2');
|
|
|
|
|
expect(memoizedDebounceSpy).toHaveBeenCalledWith('TestDatasource', 'eu-north-1');
|
|
|
|
|
expect(memoizedDebounceSpy).toBeCalledTimes(3);
|
|
|
|
|
done();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
});
|
2019-11-27 17:06:11 +01:00
|
|
|
|
|
|
|
|
describe('when regions query is used', () => {
|
|
|
|
|
beforeEach(() => {
|
2020-01-21 09:08:07 +00:00
|
|
|
datasourceRequestMock.mockImplementation(() => {
|
2019-11-27 17:06:11 +01:00
|
|
|
return Promise.resolve({});
|
|
|
|
|
});
|
2020-01-21 09:08:07 +00:00
|
|
|
ctx.ds = new CloudWatchDatasource(instanceSettings, templateSrv, timeSrv);
|
2019-11-27 17:06:11 +01:00
|
|
|
ctx.ds.doMetricQueryRequest = jest.fn(() => []);
|
|
|
|
|
});
|
|
|
|
|
describe('and region param is left out', () => {
|
|
|
|
|
it('should use the default region', done => {
|
|
|
|
|
ctx.ds.metricFindQuery('metrics(testNamespace)').then(() => {
|
|
|
|
|
expect(ctx.ds.doMetricQueryRequest).toHaveBeenCalledWith('metrics', {
|
|
|
|
|
namespace: 'testNamespace',
|
|
|
|
|
region: instanceSettings.jsonData.defaultRegion,
|
|
|
|
|
});
|
|
|
|
|
done();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
describe('and region param is defined by user', () => {
|
|
|
|
|
it('should use the user defined region', done => {
|
|
|
|
|
ctx.ds.metricFindQuery('metrics(testNamespace2, custom-region)').then(() => {
|
|
|
|
|
expect(ctx.ds.doMetricQueryRequest).toHaveBeenCalledWith('metrics', {
|
|
|
|
|
namespace: 'testNamespace2',
|
|
|
|
|
region: 'custom-region',
|
|
|
|
|
});
|
|
|
|
|
done();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
});
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
|
|
|
|
|
2018-09-04 15:55:41 +02:00
|
|
|
describe('When query region is "default"', () => {
|
|
|
|
|
it('should return the datasource region if empty or "default"', () => {
|
2018-08-26 18:43:07 +02:00
|
|
|
const defaultRegion = instanceSettings.jsonData.defaultRegion;
|
2017-12-11 09:37:27 +01:00
|
|
|
|
2018-07-03 13:20:36 +02:00
|
|
|
expect(ctx.ds.getActualRegion()).toBe(defaultRegion);
|
|
|
|
|
expect(ctx.ds.getActualRegion('')).toBe(defaultRegion);
|
|
|
|
|
expect(ctx.ds.getActualRegion('default')).toBe(defaultRegion);
|
2017-12-11 09:37:27 +01:00
|
|
|
});
|
|
|
|
|
|
2018-09-04 15:55:41 +02:00
|
|
|
it('should return the specified region if specified', () => {
|
2018-07-03 13:20:36 +02:00
|
|
|
expect(ctx.ds.getActualRegion('some-fake-region-1')).toBe('some-fake-region-1');
|
2017-12-11 09:37:27 +01:00
|
|
|
});
|
|
|
|
|
|
2019-04-12 21:00:41 +09:00
|
|
|
let requestParams: { queries: CloudWatchQuery[] };
|
2018-09-04 15:55:41 +02:00
|
|
|
beforeEach(() => {
|
2018-07-03 13:21:59 +02:00
|
|
|
ctx.ds.performTimeSeriesQuery = jest.fn(request => {
|
2017-12-11 09:37:27 +01:00
|
|
|
requestParams = request;
|
2018-07-03 13:20:36 +02:00
|
|
|
return Promise.resolve({ data: {} });
|
|
|
|
|
});
|
2017-12-11 09:37:27 +01:00
|
|
|
});
|
|
|
|
|
|
2018-09-04 15:55:41 +02:00
|
|
|
it('should query for the datasource region if empty or "default"', done => {
|
2018-08-26 18:43:07 +02:00
|
|
|
const query = {
|
2019-10-29 17:02:55 +01:00
|
|
|
range: defaultTimeRange,
|
2017-12-11 09:37:27 +01:00
|
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
|
|
|
targets: [
|
|
|
|
|
{
|
2019-04-12 20:57:39 +09:00
|
|
|
refId: 'A',
|
2017-12-20 12:33:33 +01:00
|
|
|
region: 'default',
|
|
|
|
|
namespace: 'AWS/EC2',
|
|
|
|
|
metricName: 'CPUUtilization',
|
2017-12-11 09:37:27 +01:00
|
|
|
dimensions: {
|
2017-12-20 12:33:33 +01:00
|
|
|
InstanceId: 'i-12345678',
|
2017-12-11 09:37:27 +01:00
|
|
|
},
|
2017-12-20 12:33:33 +01:00
|
|
|
statistics: ['Average'],
|
2019-11-19 12:36:50 +01:00
|
|
|
period: '300s',
|
2017-12-20 12:33:33 +01:00
|
|
|
},
|
|
|
|
|
],
|
2017-12-11 09:37:27 +01:00
|
|
|
};
|
|
|
|
|
|
2019-07-11 17:05:45 +02:00
|
|
|
ctx.ds.query(query).then((result: any) => {
|
2018-07-03 13:20:36 +02:00
|
|
|
expect(requestParams.queries[0].region).toBe(instanceSettings.jsonData.defaultRegion);
|
2017-12-11 09:37:27 +01:00
|
|
|
done();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
2018-09-04 15:55:41 +02:00
|
|
|
describe('When performing CloudWatch query for extended statistics', () => {
|
2018-08-26 18:43:07 +02:00
|
|
|
const query = {
|
2019-10-29 17:02:55 +01:00
|
|
|
range: defaultTimeRange,
|
2017-04-03 21:50:40 +09:00
|
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
2016-12-06 16:12:30 +09:00
|
|
|
targets: [
|
|
|
|
|
{
|
2019-04-12 20:57:39 +09:00
|
|
|
refId: 'A',
|
2017-12-20 12:33:33 +01:00
|
|
|
region: 'us-east-1',
|
|
|
|
|
namespace: 'AWS/ApplicationELB',
|
|
|
|
|
metricName: 'TargetResponseTime',
|
2016-12-06 16:12:30 +09:00
|
|
|
dimensions: {
|
2017-12-20 12:33:33 +01:00
|
|
|
LoadBalancer: 'lb',
|
|
|
|
|
TargetGroup: 'tg',
|
2016-12-06 16:12:30 +09:00
|
|
|
},
|
2017-12-20 12:33:33 +01:00
|
|
|
statistics: ['p90.00'],
|
2019-11-19 12:36:50 +01:00
|
|
|
period: '300s',
|
2017-12-20 12:33:33 +01:00
|
|
|
},
|
|
|
|
|
],
|
2016-12-06 16:12:30 +09:00
|
|
|
};
|
|
|
|
|
|
2019-07-11 17:05:45 +02:00
|
|
|
const response: any = {
|
2017-04-03 21:50:40 +09:00
|
|
|
timings: [null],
|
|
|
|
|
results: {
|
|
|
|
|
A: {
|
2017-12-20 12:33:33 +01:00
|
|
|
error: '',
|
|
|
|
|
refId: 'A',
|
2020-01-17 13:22:43 +01:00
|
|
|
meta: {
|
|
|
|
|
gmdMeta: [
|
|
|
|
|
{
|
|
|
|
|
Period: 300,
|
|
|
|
|
},
|
|
|
|
|
],
|
|
|
|
|
},
|
2017-04-03 21:50:40 +09:00
|
|
|
series: [
|
|
|
|
|
{
|
2017-12-20 12:33:33 +01:00
|
|
|
name: 'TargetResponseTime_p90.00',
|
2019-11-19 13:59:39 +00:00
|
|
|
points: [
|
|
|
|
|
[1, 1483228800000],
|
|
|
|
|
[2, 1483229100000],
|
|
|
|
|
[5, 1483229700000],
|
|
|
|
|
],
|
2017-04-03 21:50:40 +09:00
|
|
|
tags: {
|
2017-12-20 12:33:33 +01:00
|
|
|
LoadBalancer: 'lb',
|
|
|
|
|
TargetGroup: 'tg',
|
|
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
],
|
|
|
|
|
},
|
|
|
|
|
},
|
2016-12-06 16:12:30 +09:00
|
|
|
};
|
|
|
|
|
|
2018-09-04 15:55:41 +02:00
|
|
|
beforeEach(() => {
|
2020-01-21 09:08:07 +00:00
|
|
|
datasourceRequestMock.mockImplementation(params => {
|
2018-07-03 13:20:36 +02:00
|
|
|
return Promise.resolve({ data: response });
|
|
|
|
|
});
|
2016-12-06 16:12:30 +09:00
|
|
|
});
|
|
|
|
|
|
2018-09-04 15:55:41 +02:00
|
|
|
it('should return series list', done => {
|
2019-07-11 17:05:45 +02:00
|
|
|
ctx.ds.query(query).then((result: any) => {
|
2019-10-29 17:02:55 +01:00
|
|
|
expect(result.data[0].name).toBe(response.results.A.series[0].name);
|
2020-04-03 11:11:28 -07:00
|
|
|
expect(result.data[0].fields[1].values.buffer[0]).toBe(response.results.A.series[0].points[0][0]);
|
2016-12-06 16:12:30 +09:00
|
|
|
done();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
2019-04-12 21:00:41 +09:00
|
|
|
describe('When performing CloudWatch query with template variables', () => {
|
|
|
|
|
let requestParams: { queries: CloudWatchQuery[] };
|
|
|
|
|
beforeEach(() => {
|
2020-04-03 09:38:14 +02:00
|
|
|
const variables = [
|
2019-04-12 21:00:41 +09:00
|
|
|
new CustomVariable(
|
|
|
|
|
{
|
|
|
|
|
name: 'var1',
|
|
|
|
|
current: {
|
|
|
|
|
value: 'var1-foo',
|
|
|
|
|
},
|
|
|
|
|
multi: false,
|
|
|
|
|
},
|
2019-07-16 11:35:42 +02:00
|
|
|
{} as any
|
2019-04-12 21:00:41 +09:00
|
|
|
),
|
|
|
|
|
new CustomVariable(
|
|
|
|
|
{
|
|
|
|
|
name: 'var2',
|
|
|
|
|
current: {
|
|
|
|
|
value: 'var2-foo',
|
|
|
|
|
},
|
|
|
|
|
multi: false,
|
|
|
|
|
},
|
2019-07-16 11:35:42 +02:00
|
|
|
{} as any
|
2019-04-12 21:00:41 +09:00
|
|
|
),
|
|
|
|
|
new CustomVariable(
|
|
|
|
|
{
|
|
|
|
|
name: 'var3',
|
|
|
|
|
options: [
|
|
|
|
|
{ selected: true, value: 'var3-foo' },
|
|
|
|
|
{ selected: false, value: 'var3-bar' },
|
|
|
|
|
{ selected: true, value: 'var3-baz' },
|
|
|
|
|
],
|
|
|
|
|
current: {
|
|
|
|
|
value: ['var3-foo', 'var3-baz'],
|
|
|
|
|
},
|
|
|
|
|
multi: true,
|
|
|
|
|
},
|
2019-07-16 11:35:42 +02:00
|
|
|
{} as any
|
2019-04-12 21:00:41 +09:00
|
|
|
),
|
2019-11-14 10:59:41 +01:00
|
|
|
new CustomVariable(
|
|
|
|
|
{
|
|
|
|
|
name: 'var4',
|
|
|
|
|
options: [
|
|
|
|
|
{ selected: true, value: 'var4-foo' },
|
|
|
|
|
{ selected: false, value: 'var4-bar' },
|
|
|
|
|
{ selected: true, value: 'var4-baz' },
|
|
|
|
|
],
|
|
|
|
|
current: {
|
|
|
|
|
value: ['var4-foo', 'var4-baz'],
|
|
|
|
|
},
|
|
|
|
|
multi: true,
|
|
|
|
|
},
|
|
|
|
|
{} as any
|
|
|
|
|
),
|
2020-04-03 09:38:14 +02:00
|
|
|
];
|
|
|
|
|
const state = convertToStoreState(variables);
|
|
|
|
|
const _templateSrv = new TemplateSrv(getTemplateSrvDependencies(state));
|
|
|
|
|
_templateSrv.init(variables);
|
|
|
|
|
ctx.ds = new CloudWatchDatasource(instanceSettings, _templateSrv, timeSrv);
|
2019-04-12 21:00:41 +09:00
|
|
|
|
2020-01-21 09:08:07 +00:00
|
|
|
datasourceRequestMock.mockImplementation(params => {
|
2019-04-12 21:00:41 +09:00
|
|
|
requestParams = params.data;
|
|
|
|
|
return Promise.resolve({ data: {} });
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('should generate the correct query for single template variable', done => {
|
|
|
|
|
const query = {
|
2019-10-29 17:02:55 +01:00
|
|
|
range: defaultTimeRange,
|
2019-04-12 21:00:41 +09:00
|
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
|
|
|
targets: [
|
|
|
|
|
{
|
|
|
|
|
refId: 'A',
|
|
|
|
|
region: 'us-east-1',
|
|
|
|
|
namespace: 'TestNamespace',
|
|
|
|
|
metricName: 'TestMetricName',
|
|
|
|
|
dimensions: {
|
|
|
|
|
dim2: '[[var2]]',
|
|
|
|
|
},
|
|
|
|
|
statistics: ['Average'],
|
2019-11-19 12:36:50 +01:00
|
|
|
period: '300s',
|
2019-04-12 21:00:41 +09:00
|
|
|
},
|
|
|
|
|
],
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
ctx.ds.query(query).then(() => {
|
2019-11-14 10:59:41 +01:00
|
|
|
expect(requestParams.queries[0].dimensions['dim2']).toStrictEqual(['var2-foo']);
|
2019-04-12 21:00:41 +09:00
|
|
|
done();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
it('should generate the correct query in the case of one multilple template variables', done => {
|
2019-04-12 21:00:41 +09:00
|
|
|
const query = {
|
2019-10-29 17:02:55 +01:00
|
|
|
range: defaultTimeRange,
|
2019-04-12 21:00:41 +09:00
|
|
|
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'],
|
2019-11-19 12:36:50 +01:00
|
|
|
period: '300s',
|
2019-04-12 21:00:41 +09:00
|
|
|
},
|
|
|
|
|
],
|
|
|
|
|
scopedVars: {
|
|
|
|
|
var1: { selected: true, value: 'var1-foo' },
|
|
|
|
|
var2: { selected: true, value: 'var2-foo' },
|
|
|
|
|
},
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
ctx.ds.query(query).then(() => {
|
2019-11-14 10:59:41 +01:00
|
|
|
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']);
|
2019-04-12 21:00:41 +09:00
|
|
|
done();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
it('should generate the correct query in the case of multilple multi template variables', done => {
|
2019-04-12 21:00:41 +09:00
|
|
|
const query = {
|
2019-10-29 17:02:55 +01:00
|
|
|
range: defaultTimeRange,
|
2019-04-12 21:00:41 +09:00
|
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
|
|
|
targets: [
|
|
|
|
|
{
|
|
|
|
|
refId: 'A',
|
|
|
|
|
region: 'us-east-1',
|
|
|
|
|
namespace: 'TestNamespace',
|
|
|
|
|
metricName: 'TestMetricName',
|
|
|
|
|
dimensions: {
|
|
|
|
|
dim1: '[[var1]]',
|
|
|
|
|
dim3: '[[var3]]',
|
2019-11-14 10:59:41 +01:00
|
|
|
dim4: '[[var4]]',
|
2019-04-12 21:00:41 +09:00
|
|
|
},
|
|
|
|
|
statistics: ['Average'],
|
2019-11-19 12:36:50 +01:00
|
|
|
period: '300s',
|
2019-04-12 21:00:41 +09:00
|
|
|
},
|
|
|
|
|
],
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
ctx.ds.query(query).then(() => {
|
2019-11-14 10:59:41 +01:00
|
|
|
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']);
|
2019-04-12 21:00:41 +09:00
|
|
|
done();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
it('should generate the correct query for multilple template variables, lack scopedVars', done => {
|
|
|
|
|
const query = {
|
2019-10-29 17:02:55 +01:00
|
|
|
range: defaultTimeRange,
|
2019-04-12 21:00:41 +09:00
|
|
|
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'],
|
2019-11-19 12:36:50 +01:00
|
|
|
period: '300',
|
2019-04-12 21:00:41 +09:00
|
|
|
},
|
|
|
|
|
],
|
|
|
|
|
scopedVars: {
|
|
|
|
|
var1: { selected: true, value: 'var1-foo' },
|
|
|
|
|
},
|
|
|
|
|
};
|
|
|
|
|
|
|
|
|
|
ctx.ds.query(query).then(() => {
|
2019-11-14 10:59:41 +01:00
|
|
|
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']);
|
2019-04-12 21:00:41 +09:00
|
|
|
done();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
2019-07-11 17:05:45 +02:00
|
|
|
function describeMetricFindQuery(query: any, func: any) {
|
2017-12-20 12:33:33 +01:00
|
|
|
describe('metricFindQuery ' + query, () => {
|
2018-08-26 17:14:40 +02:00
|
|
|
const scenario: any = {};
|
2019-11-14 10:59:41 +01:00
|
|
|
scenario.setup = async (setupCallback: any) => {
|
|
|
|
|
beforeEach(async () => {
|
|
|
|
|
await setupCallback();
|
2020-01-21 09:08:07 +00:00
|
|
|
datasourceRequestMock.mockImplementation(args => {
|
2017-11-12 00:41:14 +09:00
|
|
|
scenario.request = args.data;
|
2018-07-03 13:20:36 +02:00
|
|
|
return Promise.resolve({ data: scenario.requestResponse });
|
|
|
|
|
});
|
2019-07-11 17:05:45 +02:00
|
|
|
ctx.ds.metricFindQuery(query).then((args: any) => {
|
2015-10-02 11:54:35 +02:00
|
|
|
scenario.result = args;
|
|
|
|
|
});
|
|
|
|
|
});
|
2015-10-01 17:00:41 +02:00
|
|
|
};
|
2015-10-02 11:54:35 +02:00
|
|
|
|
|
|
|
|
func(scenario);
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
}
|
2015-10-01 17:00:41 +02:00
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
describeMetricFindQuery('regions()', async (scenario: any) => {
|
|
|
|
|
await scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
2017-12-20 12:33:33 +01:00
|
|
|
tables: [{ rows: [['us-east-1', 'us-east-1']] }],
|
|
|
|
|
},
|
|
|
|
|
},
|
2017-09-13 21:11:25 +09:00
|
|
|
};
|
2015-10-02 11:54:35 +02:00
|
|
|
});
|
2015-10-02 11:10:21 +02:00
|
|
|
|
2017-12-20 12:33:33 +01:00
|
|
|
it('should call __GetRegions and return result', () => {
|
2018-07-03 13:20:36 +02:00
|
|
|
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');
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
});
|
2015-10-01 17:00:41 +02:00
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
describeMetricFindQuery('namespaces()', async (scenario: any) => {
|
|
|
|
|
await scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
2017-12-20 12:33:33 +01:00
|
|
|
tables: [{ rows: [['AWS/EC2', 'AWS/EC2']] }],
|
|
|
|
|
},
|
|
|
|
|
},
|
2017-09-13 21:11:25 +09:00
|
|
|
};
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
|
|
|
|
|
2017-12-20 12:33:33 +01:00
|
|
|
it('should call __GetNamespaces and return result', () => {
|
2018-07-03 13:20:36 +02:00
|
|
|
expect(scenario.result[0].text).toContain('AWS/EC2');
|
|
|
|
|
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
|
|
|
|
|
expect(scenario.request.queries[0].subtype).toBe('namespaces');
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
});
|
2015-10-01 17:00:41 +02:00
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
describeMetricFindQuery('metrics(AWS/EC2, us-east-2)', async (scenario: any) => {
|
|
|
|
|
await scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
2017-12-20 12:33:33 +01:00
|
|
|
tables: [{ rows: [['CPUUtilization', 'CPUUtilization']] }],
|
|
|
|
|
},
|
|
|
|
|
},
|
2017-09-13 21:11:25 +09:00
|
|
|
};
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
|
|
|
|
|
2017-12-20 12:33:33 +01:00
|
|
|
it('should call __GetMetrics and return result', () => {
|
2018-07-03 13:20:36 +02:00
|
|
|
expect(scenario.result[0].text).toBe('CPUUtilization');
|
|
|
|
|
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
|
|
|
|
|
expect(scenario.request.queries[0].subtype).toBe('metrics');
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
|
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
describeMetricFindQuery('dimension_keys(AWS/EC2)', async (scenario: any) => {
|
|
|
|
|
await scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
2017-12-20 12:33:33 +01:00
|
|
|
tables: [{ rows: [['InstanceId', 'InstanceId']] }],
|
|
|
|
|
},
|
|
|
|
|
},
|
2017-09-13 21:11:25 +09:00
|
|
|
};
|
2015-10-02 20:25:28 +02:00
|
|
|
});
|
|
|
|
|
|
2017-12-20 12:33:33 +01:00
|
|
|
it('should call __GetDimensions and return result', () => {
|
2019-11-14 10:59:41 +01:00
|
|
|
console.log({ a: scenario.requestResponse.results });
|
2018-07-03 13:20:36 +02:00
|
|
|
expect(scenario.result[0].text).toBe('InstanceId');
|
|
|
|
|
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
|
|
|
|
|
expect(scenario.request.queries[0].subtype).toBe('dimension_keys');
|
2015-10-02 20:25:28 +02:00
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
});
|
2015-10-02 20:25:28 +02:00
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
describeMetricFindQuery('dimension_values(us-east-1,AWS/EC2,CPUUtilization,InstanceId)', async (scenario: any) => {
|
|
|
|
|
await scenario.setup(() => {
|
2017-12-21 08:39:31 +01:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
|
|
|
|
tables: [{ rows: [['i-12345678', 'i-12345678']] }],
|
2017-12-20 12:33:33 +01:00
|
|
|
},
|
2017-12-21 08:39:31 +01:00
|
|
|
},
|
|
|
|
|
};
|
|
|
|
|
});
|
2017-12-11 09:37:27 +01:00
|
|
|
|
2017-12-21 08:39:31 +01:00
|
|
|
it('should call __ListMetrics and return result', () => {
|
2018-07-03 13:20:36 +02:00
|
|
|
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');
|
2017-12-21 08:39:31 +01:00
|
|
|
});
|
|
|
|
|
});
|
2017-12-19 16:06:54 +01:00
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
describeMetricFindQuery('dimension_values(default,AWS/EC2,CPUUtilization,InstanceId)', async (scenario: any) => {
|
|
|
|
|
await scenario.setup(() => {
|
2017-12-21 08:39:31 +01:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
|
|
|
|
tables: [{ rows: [['i-12345678', 'i-12345678']] }],
|
2017-12-20 12:33:33 +01:00
|
|
|
},
|
2017-12-21 08:39:31 +01:00
|
|
|
},
|
|
|
|
|
};
|
|
|
|
|
});
|
2015-10-02 20:25:28 +02:00
|
|
|
|
2017-12-21 08:39:31 +01:00
|
|
|
it('should call __ListMetrics and return result', () => {
|
2018-07-03 13:20:36 +02:00
|
|
|
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');
|
2017-12-21 08:39:31 +01:00
|
|
|
});
|
|
|
|
|
});
|
2017-08-01 04:19:19 +09:00
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
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',
|
|
|
|
|
],
|
2019-02-13 11:14:53 +01:00
|
|
|
],
|
2019-11-14 10:59:41 +01:00
|
|
|
},
|
|
|
|
|
],
|
|
|
|
|
},
|
2019-02-05 13:49:28 +01:00
|
|
|
},
|
2019-11-14 10:59:41 +01:00
|
|
|
};
|
|
|
|
|
});
|
2019-02-05 13:49:28 +01:00
|
|
|
|
2019-11-14 10:59:41 +01:00
|
|
|
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');
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
);
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|