datasource_specs.ts 13 KB

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  1. import "../datasource";
  2. import {describe, beforeEach, it, expect, angularMocks} from 'test/lib/common';
  3. import helpers from 'test/specs/helpers';
  4. import CloudWatchDatasource from "../datasource";
  5. describe('CloudWatchDatasource', function() {
  6. var ctx = new helpers.ServiceTestContext();
  7. var instanceSettings = {
  8. jsonData: {defaultRegion: 'us-east-1', access: 'proxy'},
  9. };
  10. beforeEach(angularMocks.module('grafana.core'));
  11. beforeEach(angularMocks.module('grafana.services'));
  12. beforeEach(angularMocks.module('grafana.controllers'));
  13. beforeEach(ctx.providePhase(['templateSrv', 'backendSrv']));
  14. beforeEach(angularMocks.inject(function($q, $rootScope, $httpBackend, $injector) {
  15. ctx.$q = $q;
  16. ctx.$httpBackend = $httpBackend;
  17. ctx.$rootScope = $rootScope;
  18. ctx.ds = $injector.instantiate(CloudWatchDatasource, {instanceSettings: instanceSettings});
  19. $httpBackend.when('GET', /\.html$/).respond('');
  20. }));
  21. describe('When performing CloudWatch query', function() {
  22. var requestParams;
  23. var query = {
  24. range: { from: 'now-1h', to: 'now' },
  25. rangeRaw: { from: 1483228800, to: 1483232400 },
  26. targets: [
  27. {
  28. region: 'us-east-1',
  29. namespace: 'AWS/EC2',
  30. metricName: 'CPUUtilization',
  31. dimensions: {
  32. InstanceId: 'i-12345678'
  33. },
  34. statistics: ['Average'],
  35. period: '300'
  36. }
  37. ]
  38. };
  39. var response = {
  40. timings: [null],
  41. results: {
  42. A: {
  43. error: '',
  44. refId: 'A',
  45. series: [
  46. {
  47. name: 'CPUUtilization_Average',
  48. points: [
  49. [1, 1483228800000],
  50. [2, 1483229100000],
  51. [5, 1483229700000],
  52. ],
  53. tags: {
  54. InstanceId: 'i-12345678'
  55. }
  56. }
  57. ]
  58. }
  59. }
  60. };
  61. beforeEach(function() {
  62. ctx.backendSrv.datasourceRequest = function(params) {
  63. requestParams = params.data;
  64. return ctx.$q.when({data: response});
  65. };
  66. });
  67. it('should generate the correct query', function(done) {
  68. ctx.ds.query(query).then(function() {
  69. var params = requestParams.queries[0];
  70. expect(params.namespace).to.be(query.targets[0].namespace);
  71. expect(params.metricName).to.be(query.targets[0].metricName);
  72. expect(params.dimensions['InstanceId']).to.be('i-12345678');
  73. expect(params.statistics).to.eql(query.targets[0].statistics);
  74. expect(params.period).to.be(query.targets[0].period);
  75. done();
  76. });
  77. ctx.$rootScope.$apply();
  78. });
  79. it('should generate the correct query with interval variable', function(done) {
  80. ctx.templateSrv.data = {
  81. period: '10m'
  82. };
  83. var query = {
  84. range: { from: 'now-1h', to: 'now' },
  85. rangeRaw: { from: 1483228800, to: 1483232400 },
  86. targets: [
  87. {
  88. region: 'us-east-1',
  89. namespace: 'AWS/EC2',
  90. metricName: 'CPUUtilization',
  91. dimensions: {
  92. InstanceId: 'i-12345678'
  93. },
  94. statistics: ['Average'],
  95. period: '[[period]]'
  96. }
  97. ]
  98. };
  99. ctx.ds.query(query).then(function() {
  100. var params = requestParams.queries[0];
  101. expect(params.period).to.be('600');
  102. done();
  103. });
  104. ctx.$rootScope.$apply();
  105. });
  106. it('should return series list', function(done) {
  107. ctx.ds.query(query).then(function(result) {
  108. expect(result.data[0].target).to.be(response.results.A.series[0].name);
  109. expect(result.data[0].datapoints[0][0]).to.be(response.results.A.series[0].points[0][0]);
  110. done();
  111. });
  112. ctx.$rootScope.$apply();
  113. });
  114. it('should generate the correct targets by expanding template variables', function() {
  115. var templateSrv = {
  116. variables: [
  117. {
  118. name: 'instance_id',
  119. options: [
  120. { text: 'i-23456789', value: 'i-23456789', selected: false },
  121. { text: 'i-34567890', value: 'i-34567890', selected: true }
  122. ]
  123. }
  124. ],
  125. replace: function (target, scopedVars) {
  126. if (target === '$instance_id' && scopedVars['instance_id']['text'] === 'i-34567890') {
  127. return 'i-34567890';
  128. } else {
  129. return '';
  130. }
  131. },
  132. getVariableName: function (e) { return 'instance_id'; },
  133. variableExists: function (e) { return true; },
  134. containsVariable: function (str, variableName) { return str.indexOf('$' + variableName) !== -1; }
  135. };
  136. var targets = [
  137. {
  138. region: 'us-east-1',
  139. namespace: 'AWS/EC2',
  140. metricName: 'CPUUtilization',
  141. dimensions: {
  142. InstanceId: '$instance_id'
  143. },
  144. statistics: ['Average'],
  145. period: 300
  146. }
  147. ];
  148. var result = ctx.ds.expandTemplateVariable(targets, {}, templateSrv);
  149. expect(result[0].dimensions.InstanceId).to.be('i-34567890');
  150. });
  151. });
  152. describe('When performing CloudWatch query for extended statistics', function() {
  153. var query = {
  154. range: { from: 'now-1h', to: 'now' },
  155. rangeRaw: { from: 1483228800, to: 1483232400 },
  156. targets: [
  157. {
  158. region: 'us-east-1',
  159. namespace: 'AWS/ApplicationELB',
  160. metricName: 'TargetResponseTime',
  161. dimensions: {
  162. LoadBalancer: 'lb',
  163. TargetGroup: 'tg'
  164. },
  165. statistics: ['p90.00'],
  166. period: 300
  167. }
  168. ]
  169. };
  170. var response = {
  171. timings: [null],
  172. results: {
  173. A: {
  174. error: '',
  175. refId: 'A',
  176. series: [
  177. {
  178. name: 'TargetResponseTime_p90.00',
  179. points: [
  180. [1, 1483228800000],
  181. [2, 1483229100000],
  182. [5, 1483229700000],
  183. ],
  184. tags: {
  185. LoadBalancer: 'lb',
  186. TargetGroup: 'tg'
  187. }
  188. }
  189. ]
  190. }
  191. }
  192. };
  193. beforeEach(function() {
  194. ctx.backendSrv.datasourceRequest = function(params) {
  195. return ctx.$q.when({data: response});
  196. };
  197. });
  198. it('should return series list', function(done) {
  199. ctx.ds.query(query).then(function(result) {
  200. expect(result.data[0].target).to.be(response.results.A.series[0].name);
  201. expect(result.data[0].datapoints[0][0]).to.be(response.results.A.series[0].points[0][0]);
  202. done();
  203. });
  204. ctx.$rootScope.$apply();
  205. });
  206. });
  207. function describeMetricFindQuery(query, func) {
  208. describe('metricFindQuery ' + query, () => {
  209. let scenario: any = {};
  210. scenario.setup = setupCallback => {
  211. beforeEach(() => {
  212. setupCallback();
  213. ctx.backendSrv.datasourceRequest = args => {
  214. scenario.request = args.data;
  215. return ctx.$q.when({data: scenario.requestResponse});
  216. };
  217. ctx.ds.metricFindQuery(query).then(args => {
  218. scenario.result = args;
  219. });
  220. ctx.$rootScope.$apply();
  221. });
  222. };
  223. func(scenario);
  224. });
  225. }
  226. describeMetricFindQuery('regions()', scenario => {
  227. scenario.setup(() => {
  228. scenario.requestResponse = {
  229. results: {
  230. metricFindQuery: {
  231. tables: [
  232. { rows: [['us-east-1', 'us-east-1']] }
  233. ]
  234. }
  235. }
  236. };
  237. });
  238. it('should call __GetRegions and return result', () => {
  239. expect(scenario.result[0].text).to.contain('us-east-1');
  240. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  241. expect(scenario.request.queries[0].subtype).to.be('regions');
  242. });
  243. });
  244. describeMetricFindQuery('namespaces()', scenario => {
  245. scenario.setup(() => {
  246. scenario.requestResponse = {
  247. results: {
  248. metricFindQuery: {
  249. tables: [
  250. { rows: [['AWS/EC2', 'AWS/EC2']] }
  251. ]
  252. }
  253. }
  254. };
  255. });
  256. it('should call __GetNamespaces and return result', () => {
  257. expect(scenario.result[0].text).to.contain('AWS/EC2');
  258. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  259. expect(scenario.request.queries[0].subtype).to.be('namespaces');
  260. });
  261. });
  262. describeMetricFindQuery('metrics(AWS/EC2)', scenario => {
  263. scenario.setup(() => {
  264. scenario.requestResponse = {
  265. results: {
  266. metricFindQuery: {
  267. tables: [
  268. { rows: [['CPUUtilization', 'CPUUtilization']] }
  269. ]
  270. }
  271. }
  272. };
  273. });
  274. it('should call __GetMetrics and return result', () => {
  275. expect(scenario.result[0].text).to.be('CPUUtilization');
  276. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  277. expect(scenario.request.queries[0].subtype).to.be('metrics');
  278. });
  279. });
  280. describeMetricFindQuery('dimension_keys(AWS/EC2)', scenario => {
  281. scenario.setup(() => {
  282. scenario.requestResponse = {
  283. results: {
  284. metricFindQuery: {
  285. tables: [
  286. { rows: [['InstanceId', 'InstanceId']] }
  287. ]
  288. }
  289. }
  290. };
  291. });
  292. it('should call __GetDimensions and return result', () => {
  293. expect(scenario.result[0].text).to.be('InstanceId');
  294. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  295. expect(scenario.request.queries[0].subtype).to.be('dimension_keys');
  296. });
  297. });
  298. describeMetricFindQuery('dimension_values(us-east-1,AWS/EC2,CPUUtilization,InstanceId)', scenario => {
  299. scenario.setup(() => {
  300. scenario.requestResponse = {
  301. results: {
  302. metricFindQuery: {
  303. tables: [
  304. { rows: [['i-12345678', 'i-12345678']] }
  305. ]
  306. }
  307. }
  308. };
  309. });
  310. it('should call __ListMetrics and return result', () => {
  311. expect(scenario.result[0].text).to.contain('i-12345678');
  312. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  313. expect(scenario.request.queries[0].subtype).to.be('dimension_values');
  314. });
  315. });
  316. it('should caclculate the correct period', function () {
  317. var hourSec = 60 * 60;
  318. var daySec = hourSec * 24;
  319. var start = 1483196400 * 1000;
  320. var testData: any[] = [
  321. [
  322. { period: 60, namespace: 'AWS/EC2' },
  323. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  324. (hourSec * 3), 60
  325. ],
  326. [
  327. { period: null, namespace: 'AWS/EC2' },
  328. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  329. (hourSec * 3), 300
  330. ],
  331. [
  332. { period: 60, namespace: 'AWS/ELB' },
  333. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  334. (hourSec * 3), 60
  335. ],
  336. [
  337. { period: null, namespace: 'AWS/ELB' },
  338. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  339. (hourSec * 3), 60
  340. ],
  341. [
  342. { period: 1, namespace: 'CustomMetricsNamespace' },
  343. { range: { from: new Date(start), to: new Date(start + (1440 - 1) * 1000) } },
  344. (hourSec * 3 - 1), 1
  345. ],
  346. [
  347. { period: 1, namespace: 'CustomMetricsNamespace' },
  348. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  349. (hourSec * 3 - 1), 60
  350. ],
  351. [
  352. { period: 60, namespace: 'CustomMetricsNamespace' },
  353. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  354. (hourSec * 3), 60
  355. ],
  356. [
  357. { period: null, namespace: 'CustomMetricsNamespace' },
  358. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  359. (hourSec * 3 - 1), 60
  360. ],
  361. [
  362. { period: null, namespace: 'CustomMetricsNamespace' },
  363. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  364. (hourSec * 3), 60
  365. ],
  366. [
  367. { period: null, namespace: 'CustomMetricsNamespace' },
  368. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  369. (daySec * 15), 60
  370. ],
  371. [
  372. { period: null, namespace: 'CustomMetricsNamespace' },
  373. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  374. (daySec * 63), 300
  375. ],
  376. [
  377. { period: null, namespace: 'CustomMetricsNamespace' },
  378. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  379. (daySec * 455), 3600
  380. ]
  381. ];
  382. for (let t of testData) {
  383. let target = t[0];
  384. let options = t[1];
  385. let now = new Date(options.range.from.valueOf() + t[2] * 1000);
  386. let expected = t[3];
  387. let actual = ctx.ds.getPeriod(target, options, now);
  388. expect(actual).to.be(expected);
  389. }
  390. });
  391. });