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.post = function(path, params) {
  63. requestParams = params;
  64. return ctx.$q.when(response);
  65. };
  66. });
  67. it('should generate the correct query', function(done) {
  68. ctx.ds.query(query).then(function() {
  69. var params = requestParams.queries[0];
  70. expect(params.namespace).to.be(query.targets[0].namespace);
  71. expect(params.metricName).to.be(query.targets[0].metricName);
  72. expect(params.dimensions['InstanceId']).to.be('i-12345678');
  73. expect(params.statistics).to.eql(query.targets[0].statistics);
  74. expect(params.period).to.be(query.targets[0].period);
  75. done();
  76. });
  77. ctx.$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 requestParams;
  154. var query = {
  155. range: { from: 'now-1h', to: 'now' },
  156. rangeRaw: { from: 1483228800, to: 1483232400 },
  157. targets: [
  158. {
  159. region: 'us-east-1',
  160. namespace: 'AWS/ApplicationELB',
  161. metricName: 'TargetResponseTime',
  162. dimensions: {
  163. LoadBalancer: 'lb',
  164. TargetGroup: 'tg'
  165. },
  166. statistics: ['p90.00'],
  167. period: 300
  168. }
  169. ]
  170. };
  171. var response = {
  172. timings: [null],
  173. results: {
  174. A: {
  175. error: '',
  176. refId: 'A',
  177. series: [
  178. {
  179. name: 'TargetResponseTime_p90.00',
  180. points: [
  181. [1, 1483228800000],
  182. [2, 1483229100000],
  183. [5, 1483229700000],
  184. ],
  185. tags: {
  186. LoadBalancer: 'lb',
  187. TargetGroup: 'tg'
  188. }
  189. }
  190. ]
  191. }
  192. }
  193. };
  194. beforeEach(function() {
  195. ctx.backendSrv.post = function(path, params) {
  196. requestParams = params;
  197. return ctx.$q.when(response);
  198. };
  199. });
  200. it('should return series list', function(done) {
  201. ctx.ds.query(query).then(function(result) {
  202. expect(result.data[0].target).to.be(response.results.A.series[0].name);
  203. expect(result.data[0].datapoints[0][0]).to.be(response.results.A.series[0].points[0][0]);
  204. done();
  205. });
  206. ctx.$rootScope.$apply();
  207. });
  208. });
  209. function describeMetricFindQuery(query, func) {
  210. describe('metricFindQuery ' + query, () => {
  211. let scenario: any = {};
  212. scenario.setup = setupCallback => {
  213. beforeEach(() => {
  214. setupCallback();
  215. ctx.backendSrv.datasourceRequest = args => {
  216. scenario.request = args;
  217. return ctx.$q.when({ data: scenario.requestResponse });
  218. };
  219. ctx.backendSrv.post = (path, args) => {
  220. scenario.request = args;
  221. return ctx.$q.when(scenario.requestResponse);
  222. };
  223. ctx.ds.metricFindQuery(query).then(args => {
  224. scenario.result = args;
  225. });
  226. ctx.$rootScope.$apply();
  227. });
  228. };
  229. func(scenario);
  230. });
  231. }
  232. describeMetricFindQuery('regions()', scenario => {
  233. scenario.setup(() => {
  234. scenario.requestResponse = {
  235. results: {
  236. metricFindQuery: {
  237. tables: [
  238. { rows: [['us-east-1', 'us-east-1']] }
  239. ]
  240. }
  241. }
  242. };
  243. });
  244. it('should call __GetRegions and return result', () => {
  245. expect(scenario.result[0].text).to.contain('us-east-1');
  246. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  247. expect(scenario.request.queries[0].subtype).to.be('regions');
  248. });
  249. });
  250. describeMetricFindQuery('namespaces()', scenario => {
  251. scenario.setup(() => {
  252. scenario.requestResponse = {
  253. results: {
  254. metricFindQuery: {
  255. tables: [
  256. { rows: [['AWS/EC2', 'AWS/EC2']] }
  257. ]
  258. }
  259. }
  260. };
  261. });
  262. it('should call __GetNamespaces and return result', () => {
  263. expect(scenario.result[0].text).to.contain('AWS/EC2');
  264. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  265. expect(scenario.request.queries[0].subtype).to.be('namespaces');
  266. });
  267. });
  268. describeMetricFindQuery('metrics(AWS/EC2)', scenario => {
  269. scenario.setup(() => {
  270. scenario.requestResponse = {
  271. results: {
  272. metricFindQuery: {
  273. tables: [
  274. { rows: [['CPUUtilization', 'CPUUtilization']] }
  275. ]
  276. }
  277. }
  278. };
  279. });
  280. it('should call __GetMetrics and return result', () => {
  281. expect(scenario.result[0].text).to.be('CPUUtilization');
  282. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  283. expect(scenario.request.queries[0].subtype).to.be('metrics');
  284. });
  285. });
  286. describeMetricFindQuery('dimension_keys(AWS/EC2)', scenario => {
  287. scenario.setup(() => {
  288. scenario.requestResponse = {
  289. results: {
  290. metricFindQuery: {
  291. tables: [
  292. { rows: [['InstanceId', 'InstanceId']] }
  293. ]
  294. }
  295. }
  296. };
  297. });
  298. it('should call __GetDimensions and return result', () => {
  299. expect(scenario.result[0].text).to.be('InstanceId');
  300. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  301. expect(scenario.request.queries[0].subtype).to.be('dimension_keys');
  302. });
  303. });
  304. describeMetricFindQuery('dimension_values(us-east-1,AWS/EC2,CPUUtilization,InstanceId)', scenario => {
  305. scenario.setup(() => {
  306. scenario.requestResponse = {
  307. results: {
  308. metricFindQuery: {
  309. tables: [
  310. { rows: [['i-12345678', 'i-12345678']] }
  311. ]
  312. }
  313. }
  314. };
  315. });
  316. it('should call __ListMetrics and return result', () => {
  317. expect(scenario.result[0].text).to.contain('i-12345678');
  318. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  319. expect(scenario.request.queries[0].subtype).to.be('dimension_values');
  320. });
  321. });
  322. it('should caclculate the correct period', function () {
  323. var hourSec = 60 * 60;
  324. var daySec = hourSec * 24;
  325. var start = 1483196400 * 1000;
  326. var testData: any[] = [
  327. [
  328. { period: 60, namespace: 'AWS/EC2' },
  329. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  330. (hourSec * 3), 60
  331. ],
  332. [
  333. { period: null, namespace: 'AWS/EC2' },
  334. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  335. (hourSec * 3), 300
  336. ],
  337. [
  338. { period: 60, namespace: 'AWS/ELB' },
  339. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  340. (hourSec * 3), 60
  341. ],
  342. [
  343. { period: null, namespace: 'AWS/ELB' },
  344. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  345. (hourSec * 3), 60
  346. ],
  347. [
  348. { period: 1, namespace: 'CustomMetricsNamespace' },
  349. { range: { from: new Date(start), to: new Date(start + (1440 - 1) * 1000) } },
  350. (hourSec * 3 - 1), 1
  351. ],
  352. [
  353. { period: 1, namespace: 'CustomMetricsNamespace' },
  354. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  355. (hourSec * 3 - 1), 60
  356. ],
  357. [
  358. { period: 60, namespace: 'CustomMetricsNamespace' },
  359. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  360. (hourSec * 3), 60
  361. ],
  362. [
  363. { period: null, namespace: 'CustomMetricsNamespace' },
  364. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  365. (hourSec * 3 - 1), 60
  366. ],
  367. [
  368. { period: null, namespace: 'CustomMetricsNamespace' },
  369. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  370. (hourSec * 3), 60
  371. ],
  372. [
  373. { period: null, namespace: 'CustomMetricsNamespace' },
  374. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  375. (daySec * 15), 60
  376. ],
  377. [
  378. { period: null, namespace: 'CustomMetricsNamespace' },
  379. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  380. (daySec * 63), 300
  381. ],
  382. [
  383. { period: null, namespace: 'CustomMetricsNamespace' },
  384. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  385. (daySec * 455), 3600
  386. ]
  387. ];
  388. for (let t of testData) {
  389. let target = t[0];
  390. let options = t[1];
  391. let now = new Date(options.range.from.valueOf() + t[2] * 1000);
  392. let expected = t[3];
  393. let actual = ctx.ds.getPeriod(target, options, now);
  394. expect(actual).to.be(expected);
  395. }
  396. });
  397. });