import "../datasource"; import {describe, beforeEach, it, expect, angularMocks} from 'test/lib/common'; import helpers from 'test/specs/helpers'; import CloudWatchDatasource from "../datasource"; describe('CloudWatchDatasource', function() { var ctx = new helpers.ServiceTestContext(); var instanceSettings = { jsonData: {defaultRegion: 'us-east-1', access: 'proxy'}, }; beforeEach(angularMocks.module('grafana.core')); beforeEach(angularMocks.module('grafana.services')); beforeEach(angularMocks.module('grafana.controllers')); beforeEach(ctx.providePhase(['templateSrv', 'backendSrv'])); beforeEach(angularMocks.inject(function($q, $rootScope, $httpBackend, $injector) { ctx.$q = $q; ctx.$httpBackend = $httpBackend; ctx.$rootScope = $rootScope; ctx.ds = $injector.instantiate(CloudWatchDatasource, {instanceSettings: instanceSettings}); $httpBackend.when('GET', /\.html$/).respond(''); })); describe('When performing CloudWatch query', function() { var requestParams; var query = { range: { from: 'now-1h', to: 'now' }, rangeRaw: { from: 1483228800, to: 1483232400 }, targets: [ { region: 'us-east-1', namespace: 'AWS/EC2', metricName: 'CPUUtilization', dimensions: { InstanceId: 'i-12345678' }, statistics: ['Average'], period: '300' } ] }; var response = { timings: [null], results: { A: { error: '', refId: 'A', series: [ { name: 'CPUUtilization_Average', points: [ [1, 1483228800000], [2, 1483229100000], [5, 1483229700000], ], tags: { InstanceId: 'i-12345678' } } ] } } }; beforeEach(function() { ctx.backendSrv.datasourceRequest = function(params) { requestParams = params.data; return ctx.$q.when({data: response}); }; }); it('should generate the correct query', function(done) { ctx.ds.query(query).then(function() { var params = requestParams.queries[0]; expect(params.namespace).to.be(query.targets[0].namespace); expect(params.metricName).to.be(query.targets[0].metricName); expect(params.dimensions['InstanceId']).to.be('i-12345678'); expect(params.statistics).to.eql(query.targets[0].statistics); expect(params.period).to.be(query.targets[0].period); done(); }); ctx.$rootScope.$apply(); }); it('should generate the correct query with interval variable', function(done) { ctx.templateSrv.data = { period: '10m' }; var query = { range: { from: 'now-1h', to: 'now' }, rangeRaw: { from: 1483228800, to: 1483232400 }, targets: [ { region: 'us-east-1', namespace: 'AWS/EC2', metricName: 'CPUUtilization', dimensions: { InstanceId: 'i-12345678' }, statistics: ['Average'], period: '[[period]]' } ] }; ctx.ds.query(query).then(function() { var params = requestParams.queries[0]; expect(params.period).to.be('600'); done(); }); ctx.$rootScope.$apply(); }); it('should return series list', function(done) { ctx.ds.query(query).then(function(result) { expect(result.data[0].target).to.be(response.results.A.series[0].name); expect(result.data[0].datapoints[0][0]).to.be(response.results.A.series[0].points[0][0]); done(); }); ctx.$rootScope.$apply(); }); it('should generate the correct targets by expanding template variables', function() { var templateSrv = { variables: [ { name: 'instance_id', options: [ { text: 'i-23456789', value: 'i-23456789', selected: false }, { text: 'i-34567890', value: 'i-34567890', selected: true } ] } ], replace: function (target, scopedVars) { if (target === '$instance_id' && scopedVars['instance_id']['text'] === 'i-34567890') { return 'i-34567890'; } else { return ''; } }, getVariableName: function (e) { return 'instance_id'; }, variableExists: function (e) { return true; }, containsVariable: function (str, variableName) { return str.indexOf('$' + variableName) !== -1; } }; var targets = [ { region: 'us-east-1', namespace: 'AWS/EC2', metricName: 'CPUUtilization', dimensions: { InstanceId: '$instance_id' }, statistics: ['Average'], period: 300 } ]; var result = ctx.ds.expandTemplateVariable(targets, {}, templateSrv); expect(result[0].dimensions.InstanceId).to.be('i-34567890'); }); }); describe('When query region is "default"', function () { it('should return the datasource region if empty or "default"', function() { var defaultRegion = instanceSettings.jsonData.defaultRegion; expect(ctx.ds.getActualRegion()).to.be(defaultRegion); expect(ctx.ds.getActualRegion('')).to.be(defaultRegion); expect(ctx.ds.getActualRegion("default")).to.be(defaultRegion); }); it('should return the specified region if specified', function() { expect(ctx.ds.getActualRegion('some-fake-region-1')).to.be('some-fake-region-1'); }); var requestParams; beforeEach(function() { ctx.ds.performTimeSeriesQuery = function(request) { requestParams = request; return ctx.$q.when({data: {}}); }; }); it('should query for the datasource region if empty or "default"', function(done) { var query = { range: { from: 'now-1h', to: 'now' }, rangeRaw: { from: 1483228800, to: 1483232400 }, targets: [ { region: 'default', namespace: 'AWS/EC2', metricName: 'CPUUtilization', dimensions: { InstanceId: 'i-12345678' }, statistics: ['Average'], period: 300 } ] }; ctx.ds.query(query).then(function(result) { expect(requestParams.queries[0].region).to.be(instanceSettings.jsonData.defaultRegion); done(); }); ctx.$rootScope.$apply(); }); }); describe('When performing CloudWatch query for extended statistics', function() { var requestParams; var query = { range: { from: 'now-1h', to: 'now' }, rangeRaw: { from: 1483228800, to: 1483232400 }, targets: [ { region: 'us-east-1', namespace: 'AWS/ApplicationELB', metricName: 'TargetResponseTime', dimensions: { LoadBalancer: 'lb', TargetGroup: 'tg' }, statistics: ['p90.00'], period: 300 } ] }; var response = { timings: [null], results: { A: { error: '', refId: 'A', series: [ { name: 'TargetResponseTime_p90.00', points: [ [1, 1483228800000], [2, 1483229100000], [5, 1483229700000], ], tags: { LoadBalancer: 'lb', TargetGroup: 'tg' } } ] } } }; beforeEach(function() { ctx.backendSrv.datasourceRequest = function(params) { requestParams = params.data; return ctx.$q.when({data: response}); }; }); it('should return series list', function(done) { ctx.ds.query(query).then(function(result) { expect(result.data[0].target).to.be(response.results.A.series[0].name); expect(result.data[0].datapoints[0][0]).to.be(response.results.A.series[0].points[0][0]); done(); }); ctx.$rootScope.$apply(); }); }); function describeMetricFindQuery(query, func) { describe('metricFindQuery ' + query, () => { let scenario: any = {}; scenario.setup = setupCallback => { beforeEach(() => { setupCallback(); ctx.backendSrv.datasourceRequest = args => { scenario.request = args.data; return ctx.$q.when({data: scenario.requestResponse}); }; ctx.ds.metricFindQuery(query).then(args => { scenario.result = args; }); ctx.$rootScope.$apply(); }); }; func(scenario); }); } describeMetricFindQuery('regions()', scenario => { 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).to.contain('us-east-1'); expect(scenario.request.queries[0].type).to.be('metricFindQuery'); expect(scenario.request.queries[0].subtype).to.be('regions'); }); }); describeMetricFindQuery('namespaces()', scenario => { scenario.setup(() => { scenario.requestResponse = { results: { metricFindQuery: { tables: [ { rows: [['AWS/EC2', 'AWS/EC2']] } ] } } }; }); it('should call __GetNamespaces and return result', () => { expect(scenario.result[0].text).to.contain('AWS/EC2'); expect(scenario.request.queries[0].type).to.be('metricFindQuery'); expect(scenario.request.queries[0].subtype).to.be('namespaces'); }); }); describeMetricFindQuery('metrics(AWS/EC2)', scenario => { scenario.setup(() => { scenario.requestResponse = { results: { metricFindQuery: { tables: [ { rows: [['CPUUtilization', 'CPUUtilization']] } ] } } }; }); it('should call __GetMetrics and return result', () => { expect(scenario.result[0].text).to.be('CPUUtilization'); expect(scenario.request.queries[0].type).to.be('metricFindQuery'); expect(scenario.request.queries[0].subtype).to.be('metrics'); }); }); describeMetricFindQuery('dimension_keys(AWS/EC2)', scenario => { scenario.setup(() => { scenario.requestResponse = { results: { metricFindQuery: { tables: [ { rows: [['InstanceId', 'InstanceId']] } ] } } }; }); it('should call __GetDimensions and return result', () => { expect(scenario.result[0].text).to.be('InstanceId'); expect(scenario.request.queries[0].type).to.be('metricFindQuery'); expect(scenario.request.queries[0].subtype).to.be('dimension_keys'); }); }); describeMetricFindQuery('dimension_values(us-east-1,AWS/EC2,CPUUtilization,InstanceId)', scenario => { 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 => { 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'); }); }); it('should caclculate the correct period', function () { var hourSec = 60 * 60; var daySec = hourSec * 24; var start = 1483196400 * 1000; var testData: any[] = [ [ { 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 ] ]; for (let t of testData) { let target = t[0]; 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); expect(actual).to.be(expected); } }); });