2015-12-21 16:00:58 +01:00
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import "../datasource";
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2017-09-21 16:40:18 +02:00
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import {describe, beforeEach, it, expect, angularMocks} from 'test/lib/common';
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2015-12-21 16:00:58 +01:00
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import helpers from 'test/specs/helpers';
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2017-09-28 14:08:59 +02:00
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import CloudWatchDatasource from "../datasource";
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2015-10-01 17:00:41 +02:00
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describe('CloudWatchDatasource', function() {
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var ctx = new helpers.ServiceTestContext();
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2016-01-09 18:36:25 +01:00
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var instanceSettings = {
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jsonData: {defaultRegion: 'us-east-1', access: 'proxy'},
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};
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2015-10-01 17:00:41 +02:00
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2015-10-30 15:58:20 +01:00
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beforeEach(angularMocks.module('grafana.core'));
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2015-10-01 17:00:41 +02:00
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beforeEach(angularMocks.module('grafana.services'));
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beforeEach(angularMocks.module('grafana.controllers'));
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2015-10-02 09:04:46 +02:00
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beforeEach(ctx.providePhase(['templateSrv', 'backendSrv']));
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2015-10-30 15:58:20 +01:00
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2016-01-09 18:36:25 +01:00
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beforeEach(angularMocks.inject(function($q, $rootScope, $httpBackend, $injector) {
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ctx.$q = $q;
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ctx.$httpBackend = $httpBackend;
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ctx.$rootScope = $rootScope;
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2016-02-03 17:01:53 +01:00
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ctx.ds = $injector.instantiate(CloudWatchDatasource, {instanceSettings: instanceSettings});
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2016-03-28 20:44:32 +02:00
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$httpBackend.when('GET', /\.html$/).respond('');
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2016-01-09 18:36:25 +01:00
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}));
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2015-10-01 17:00:41 +02:00
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describe('When performing CloudWatch query', function() {
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var requestParams;
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var query = {
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range: { from: 'now-1h', to: 'now' },
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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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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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2015-10-08 13:09:15 +02:00
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statistics: ['Average'],
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2017-10-16 15:31:05 +09:00
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period: '300'
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2015-10-01 17:00:41 +02:00
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}
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]
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};
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var response = {
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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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error: '',
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refId: 'A',
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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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2015-10-01 17:00:41 +02:00
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}
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2017-04-03 21:50:40 +09:00
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}
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2015-10-01 17:00:41 +02:00
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};
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beforeEach(function() {
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2017-11-12 00:41:14 +09:00
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ctx.backendSrv.datasourceRequest = function(params) {
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requestParams = params.data;
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2017-11-16 13:02:31 +01:00
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return ctx.$q.when({data: response});
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2015-10-01 17:00:41 +02:00
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};
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});
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it('should generate the correct query', function(done) {
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ctx.ds.query(query).then(function() {
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2017-04-03 21:50:40 +09:00
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var params = requestParams.queries[0];
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2017-09-24 12:25:52 +09:00
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expect(params.namespace).to.be(query.targets[0].namespace);
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expect(params.metricName).to.be(query.targets[0].metricName);
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expect(params.dimensions['InstanceId']).to.be('i-12345678');
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expect(params.statistics).to.eql(query.targets[0].statistics);
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expect(params.period).to.be(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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ctx.$rootScope.$apply();
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});
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2016-04-19 23:14:41 +09:00
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it('should generate the correct query with interval variable', function(done) {
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ctx.templateSrv.data = {
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period: '10m'
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};
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var query = {
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range: { from: 'now-1h', to: 'now' },
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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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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(function() {
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2017-04-03 21:50:40 +09:00
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var params = requestParams.queries[0];
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2017-10-16 15:31:05 +09:00
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expect(params.period).to.be('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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ctx.$rootScope.$apply();
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});
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2015-10-01 17:00:41 +02:00
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it('should return series list', function(done) {
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ctx.ds.query(query).then(function(result) {
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2017-04-03 21:50:40 +09:00
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expect(result.data[0].target).to.be(response.results.A.series[0].name);
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expect(result.data[0].datapoints[0][0]).to.be(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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ctx.$rootScope.$apply();
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});
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2016-04-19 23:27:18 +09:00
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it('should generate the correct targets by expanding template variables', function() {
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var templateSrv = {
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variables: [
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{
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name: 'instance_id',
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options: [
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2017-02-23 23:02:35 +09:00
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{ text: 'i-23456789', value: 'i-23456789', selected: false },
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{ text: 'i-34567890', value: 'i-34567890', selected: true }
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2016-04-19 23:27:18 +09:00
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]
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}
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],
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2017-02-23 23:02:35 +09:00
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replace: function (target, scopedVars) {
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if (target === '$instance_id' && scopedVars['instance_id']['text'] === 'i-34567890') {
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return 'i-34567890';
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} else {
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return '';
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}
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},
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2016-12-06 16:16:41 +09:00
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getVariableName: function (e) { return 'instance_id'; },
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2016-04-19 23:27:18 +09:00
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variableExists: function (e) { return true; },
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containsVariable: function (str, variableName) { return str.indexOf('$' + variableName) !== -1; }
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};
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var targets = [
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{
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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: '$instance_id'
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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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2016-12-06 16:16:41 +09:00
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var result = ctx.ds.expandTemplateVariable(targets, {}, templateSrv);
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2016-04-19 23:27:18 +09:00
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expect(result[0].dimensions.InstanceId).to.be('i-34567890');
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});
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2015-10-01 17:00:41 +02:00
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});
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2017-12-11 09:37:27 +01:00
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describe('When query region is "default"', function () {
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it('should return the datasource region if empty or "default"', function() {
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var defaultRegion = instanceSettings.jsonData.defaultRegion;
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expect(ctx.ds.getActualRegion()).to.be(defaultRegion);
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expect(ctx.ds.getActualRegion('')).to.be(defaultRegion);
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expect(ctx.ds.getActualRegion("default")).to.be(defaultRegion);
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});
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it('should return the specified region if specified', function() {
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expect(ctx.ds.getActualRegion('some-fake-region-1')).to.be('some-fake-region-1');
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});
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var requestParams;
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beforeEach(function() {
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ctx.ds.performTimeSeriesQuery = function(request) {
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requestParams = request;
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return ctx.$q.when({data: {}});
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};
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});
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it('should query for the datasource region if empty or "default"', function(done) {
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var query = {
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range: { from: 'now-1h', to: 'now' },
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rangeRaw: { from: 1483228800, to: 1483232400 },
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targets: [
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{
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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: 300
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}
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]
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};
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ctx.ds.query(query).then(function(result) {
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expect(requestParams.queries[0].region).to.be(instanceSettings.jsonData.defaultRegion);
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done();
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});
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ctx.$rootScope.$apply();
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});
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});
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2016-12-06 16:12:30 +09:00
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describe('When performing CloudWatch query for extended statistics', function() {
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var query = {
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range: { from: 'now-1h', to: 'now' },
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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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2016-12-06 16:12:30 +09:00
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targets: [
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{
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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: 300
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}
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]
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};
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var response = {
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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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error: '',
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refId: 'A',
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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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2016-12-06 16:12:30 +09:00
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}
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2017-04-03 21:50:40 +09:00
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}
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2016-12-06 16:12:30 +09:00
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};
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beforeEach(function() {
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2017-11-12 00:41:14 +09:00
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ctx.backendSrv.datasourceRequest = function(params) {
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2017-11-16 13:02:31 +01:00
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return ctx.$q.when({data: response});
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2016-12-06 16:12:30 +09:00
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};
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});
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it('should return series list', function(done) {
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ctx.ds.query(query).then(function(result) {
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2017-04-03 21:50:40 +09:00
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expect(result.data[0].target).to.be(response.results.A.series[0].name);
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expect(result.data[0].datapoints[0][0]).to.be(response.results.A.series[0].points[0][0]);
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2016-12-06 16:12:30 +09:00
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done();
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});
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ctx.$rootScope.$apply();
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});
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});
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2015-10-02 11:54:35 +02:00
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function describeMetricFindQuery(query, func) {
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describe('metricFindQuery ' + query, () => {
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let scenario: any = {};
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scenario.setup = setupCallback => {
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beforeEach(() => {
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setupCallback();
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ctx.backendSrv.datasourceRequest = args => {
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2017-11-12 00:41:14 +09:00
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scenario.request = args.data;
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2017-11-16 13:02:31 +01:00
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return ctx.$q.when({data: scenario.requestResponse});
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2015-10-02 11:54:35 +02:00
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};
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ctx.ds.metricFindQuery(query).then(args => {
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scenario.result = args;
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});
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ctx.$rootScope.$apply();
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});
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2015-10-01 17:00:41 +02:00
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};
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2015-10-02 11:54:35 +02:00
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func(scenario);
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2015-10-01 17:00:41 +02:00
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});
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2015-10-02 11:54:35 +02:00
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}
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2015-10-01 17:00:41 +02:00
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2015-10-02 11:54:35 +02:00
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describeMetricFindQuery('regions()', scenario => {
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scenario.setup(() => {
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2017-09-13 21:11:25 +09:00
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scenario.requestResponse = {
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results: {
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metricFindQuery: {
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tables: [
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{ rows: [['us-east-1', 'us-east-1']] }
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]
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}
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}
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|
|
|
|
};
|
2015-10-02 11:54:35 +02:00
|
|
|
});
|
2015-10-02 11:10:21 +02:00
|
|
|
|
2015-10-02 11:54:35 +02:00
|
|
|
it('should call __GetRegions and return result', () => {
|
|
|
|
|
expect(scenario.result[0].text).to.contain('us-east-1');
|
2017-09-13 21:11:25 +09:00
|
|
|
expect(scenario.request.queries[0].type).to.be('metricFindQuery');
|
|
|
|
|
expect(scenario.request.queries[0].subtype).to.be('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
|
|
|
|
2015-10-02 11:54:35 +02:00
|
|
|
describeMetricFindQuery('namespaces()', scenario => {
|
|
|
|
|
scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
|
|
|
|
tables: [
|
|
|
|
|
{ rows: [['AWS/EC2', 'AWS/EC2']] }
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
};
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
|
|
|
|
|
2015-10-02 11:54:35 +02:00
|
|
|
it('should call __GetNamespaces and return result', () => {
|
|
|
|
|
expect(scenario.result[0].text).to.contain('AWS/EC2');
|
2017-09-13 21:11:25 +09:00
|
|
|
expect(scenario.request.queries[0].type).to.be('metricFindQuery');
|
|
|
|
|
expect(scenario.request.queries[0].subtype).to.be('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
|
|
|
|
2015-10-02 11:54:35 +02:00
|
|
|
describeMetricFindQuery('metrics(AWS/EC2)', scenario => {
|
|
|
|
|
scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
|
|
|
|
tables: [
|
|
|
|
|
{ rows: [['CPUUtilization', 'CPUUtilization']] }
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
};
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
|
|
|
|
|
2015-10-02 11:54:35 +02:00
|
|
|
it('should call __GetMetrics and return result', () => {
|
|
|
|
|
expect(scenario.result[0].text).to.be('CPUUtilization');
|
2017-09-13 21:11:25 +09:00
|
|
|
expect(scenario.request.queries[0].type).to.be('metricFindQuery');
|
|
|
|
|
expect(scenario.request.queries[0].subtype).to.be('metrics');
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
|
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
|
2015-10-02 20:25:28 +02:00
|
|
|
describeMetricFindQuery('dimension_keys(AWS/EC2)', scenario => {
|
|
|
|
|
scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
|
|
|
|
tables: [
|
|
|
|
|
{ rows: [['InstanceId', 'InstanceId']] }
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
};
|
2015-10-02 20:25:28 +02:00
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('should call __GetDimensions and return result', () => {
|
|
|
|
|
expect(scenario.result[0].text).to.be('InstanceId');
|
2017-09-13 21:11:25 +09:00
|
|
|
expect(scenario.request.queries[0].type).to.be('metricFindQuery');
|
|
|
|
|
expect(scenario.request.queries[0].subtype).to.be('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
|
|
|
|
2015-11-14 19:54:24 +09:00
|
|
|
describeMetricFindQuery('dimension_values(us-east-1,AWS/EC2,CPUUtilization,InstanceId)', scenario => {
|
2017-12-11 09:37:27 +01:00
|
|
|
scenario.setup(() => {
|
|
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
|
|
|
|
tables: [
|
|
|
|
|
{ rows: [['i-12345678', 'i-12345678']] }
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
};
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
it('should call __ListMetrics and return result', () => {
|
|
|
|
|
expect(scenario.result[0].text).to.contain('i-12345678');
|
|
|
|
|
expect(scenario.request.queries[0].type).to.be('metricFindQuery');
|
|
|
|
|
expect(scenario.request.queries[0].subtype).to.be('dimension_values');
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
|
|
|
|
describeMetricFindQuery('dimension_values(default,AWS/EC2,CPUUtilization,InstanceId)', scenario => {
|
2015-10-02 20:25:28 +02:00
|
|
|
scenario.setup(() => {
|
|
|
|
|
scenario.requestResponse = {
|
2017-09-20 00:45:07 +09:00
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
|
|
|
|
tables: [
|
|
|
|
|
{ rows: [['i-12345678', 'i-12345678']] }
|
2015-10-02 20:25:28 +02:00
|
|
|
]
|
|
|
|
|
}
|
2017-09-20 00:45:07 +09:00
|
|
|
}
|
2015-10-02 20:25:28 +02:00
|
|
|
};
|
|
|
|
|
});
|
|
|
|
|
|
2015-10-08 13:09:15 +02:00
|
|
|
it('should call __ListMetrics and return result', () => {
|
2017-09-20 00:45:07 +09:00
|
|
|
expect(scenario.result[0].text).to.contain('i-12345678');
|
|
|
|
|
expect(scenario.request.queries[0].type).to.be('metricFindQuery');
|
|
|
|
|
expect(scenario.request.queries[0].subtype).to.be('dimension_values');
|
2015-10-02 20:25:28 +02:00
|
|
|
});
|
|
|
|
|
});
|
2017-08-01 04:19:19 +09:00
|
|
|
|
|
|
|
|
it('should caclculate the correct period', function () {
|
|
|
|
|
var hourSec = 60 * 60;
|
|
|
|
|
var daySec = hourSec * 24;
|
2017-08-16 16:40:46 +09:00
|
|
|
var start = 1483196400 * 1000;
|
2017-08-01 04:19:19 +09:00
|
|
|
var testData: any[] = [
|
2017-08-16 16:40:46 +09:00
|
|
|
[
|
|
|
|
|
{ period: 60, namespace: 'AWS/EC2' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(hourSec * 3), 60
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: null, namespace: 'AWS/EC2' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(hourSec * 3), 300
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: 60, namespace: 'AWS/ELB' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(hourSec * 3), 60
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: null, namespace: 'AWS/ELB' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(hourSec * 3), 60
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: 1, namespace: 'CustomMetricsNamespace' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + (1440 - 1) * 1000) } },
|
|
|
|
|
(hourSec * 3 - 1), 1
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: 1, namespace: 'CustomMetricsNamespace' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(hourSec * 3 - 1), 60
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: 60, namespace: 'CustomMetricsNamespace' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(hourSec * 3), 60
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: null, namespace: 'CustomMetricsNamespace' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(hourSec * 3 - 1), 60
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: null, namespace: 'CustomMetricsNamespace' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(hourSec * 3), 60
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: null, namespace: 'CustomMetricsNamespace' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(daySec * 15), 60
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: null, namespace: 'CustomMetricsNamespace' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(daySec * 63), 300
|
|
|
|
|
],
|
|
|
|
|
[
|
|
|
|
|
{ period: null, namespace: 'CustomMetricsNamespace' },
|
|
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
|
|
|
|
(daySec * 455), 3600
|
|
|
|
|
]
|
2017-08-01 04:19:19 +09:00
|
|
|
];
|
|
|
|
|
for (let t of testData) {
|
|
|
|
|
let target = t[0];
|
2017-08-16 16:40:46 +09:00
|
|
|
let options = t[1];
|
|
|
|
|
let now = new Date(options.range.from.valueOf() + t[2] * 1000);
|
|
|
|
|
let expected = t[3];
|
|
|
|
|
let actual = ctx.ds.getPeriod(target, options, now);
|
2017-08-01 04:19:19 +09:00
|
|
|
expect(actual).to.be(expected);
|
|
|
|
|
}
|
|
|
|
|
});
|
2017-08-01 09:38:58 +02:00
|
|
|
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|