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 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.datasourceRequest = function(params) {
  196. requestParams = params.data;
  197. return ctx.$q.when({data: response});
  198. };
  199. });
  200. it('should return series list', function(done) {
  201. ctx.ds.query(query).then(function(result) {
  202. expect(result.data[0].target).to.be(response.results.A.series[0].name);
  203. expect(result.data[0].datapoints[0][0]).to.be(response.results.A.series[0].points[0][0]);
  204. done();
  205. });
  206. ctx.$rootScope.$apply();
  207. });
  208. });
  209. function describeMetricFindQuery(query, func) {
  210. describe('metricFindQuery ' + query, () => {
  211. let scenario: any = {};
  212. scenario.setup = setupCallback => {
  213. beforeEach(() => {
  214. setupCallback();
  215. ctx.backendSrv.datasourceRequest = args => {
  216. scenario.request = args.data;
  217. return ctx.$q.when({data: scenario.requestResponse});
  218. };
  219. ctx.ds.metricFindQuery(query).then(args => {
  220. scenario.result = args;
  221. });
  222. ctx.$rootScope.$apply();
  223. });
  224. };
  225. func(scenario);
  226. });
  227. }
  228. describeMetricFindQuery('regions()', scenario => {
  229. scenario.setup(() => {
  230. scenario.requestResponse = {
  231. results: {
  232. metricFindQuery: {
  233. tables: [
  234. { rows: [['us-east-1', 'us-east-1']] }
  235. ]
  236. }
  237. }
  238. };
  239. });
  240. it('should call __GetRegions and return result', () => {
  241. expect(scenario.result[0].text).to.contain('us-east-1');
  242. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  243. expect(scenario.request.queries[0].subtype).to.be('regions');
  244. });
  245. });
  246. describeMetricFindQuery('namespaces()', scenario => {
  247. scenario.setup(() => {
  248. scenario.requestResponse = {
  249. results: {
  250. metricFindQuery: {
  251. tables: [
  252. { rows: [['AWS/EC2', 'AWS/EC2']] }
  253. ]
  254. }
  255. }
  256. };
  257. });
  258. it('should call __GetNamespaces and return result', () => {
  259. expect(scenario.result[0].text).to.contain('AWS/EC2');
  260. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  261. expect(scenario.request.queries[0].subtype).to.be('namespaces');
  262. });
  263. });
  264. describeMetricFindQuery('metrics(AWS/EC2)', scenario => {
  265. scenario.setup(() => {
  266. scenario.requestResponse = {
  267. results: {
  268. metricFindQuery: {
  269. tables: [
  270. { rows: [['CPUUtilization', 'CPUUtilization']] }
  271. ]
  272. }
  273. }
  274. };
  275. });
  276. it('should call __GetMetrics and return result', () => {
  277. expect(scenario.result[0].text).to.be('CPUUtilization');
  278. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  279. expect(scenario.request.queries[0].subtype).to.be('metrics');
  280. });
  281. });
  282. describeMetricFindQuery('dimension_keys(AWS/EC2)', scenario => {
  283. scenario.setup(() => {
  284. scenario.requestResponse = {
  285. results: {
  286. metricFindQuery: {
  287. tables: [
  288. { rows: [['InstanceId', 'InstanceId']] }
  289. ]
  290. }
  291. }
  292. };
  293. });
  294. it('should call __GetDimensions and return result', () => {
  295. expect(scenario.result[0].text).to.be('InstanceId');
  296. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  297. expect(scenario.request.queries[0].subtype).to.be('dimension_keys');
  298. });
  299. });
  300. describeMetricFindQuery('dimension_values(us-east-1,AWS/EC2,CPUUtilization,InstanceId)', scenario => {
  301. scenario.setup(() => {
  302. scenario.requestResponse = {
  303. results: {
  304. metricFindQuery: {
  305. tables: [
  306. { rows: [['i-12345678', 'i-12345678']] }
  307. ]
  308. }
  309. }
  310. };
  311. });
  312. it('should call __ListMetrics and return result', () => {
  313. expect(scenario.result[0].text).to.contain('i-12345678');
  314. expect(scenario.request.queries[0].type).to.be('metricFindQuery');
  315. expect(scenario.request.queries[0].subtype).to.be('dimension_values');
  316. });
  317. });
  318. it('should caclculate the correct period', function () {
  319. var hourSec = 60 * 60;
  320. var daySec = hourSec * 24;
  321. var start = 1483196400 * 1000;
  322. var testData: any[] = [
  323. [
  324. { period: 60, namespace: 'AWS/EC2' },
  325. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  326. (hourSec * 3), 60
  327. ],
  328. [
  329. { period: null, namespace: 'AWS/EC2' },
  330. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  331. (hourSec * 3), 300
  332. ],
  333. [
  334. { period: 60, namespace: 'AWS/ELB' },
  335. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  336. (hourSec * 3), 60
  337. ],
  338. [
  339. { period: null, namespace: 'AWS/ELB' },
  340. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  341. (hourSec * 3), 60
  342. ],
  343. [
  344. { period: 1, namespace: 'CustomMetricsNamespace' },
  345. { range: { from: new Date(start), to: new Date(start + (1440 - 1) * 1000) } },
  346. (hourSec * 3 - 1), 1
  347. ],
  348. [
  349. { period: 1, namespace: 'CustomMetricsNamespace' },
  350. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  351. (hourSec * 3 - 1), 60
  352. ],
  353. [
  354. { period: 60, namespace: 'CustomMetricsNamespace' },
  355. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  356. (hourSec * 3), 60
  357. ],
  358. [
  359. { period: null, namespace: 'CustomMetricsNamespace' },
  360. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  361. (hourSec * 3 - 1), 60
  362. ],
  363. [
  364. { period: null, namespace: 'CustomMetricsNamespace' },
  365. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  366. (hourSec * 3), 60
  367. ],
  368. [
  369. { period: null, namespace: 'CustomMetricsNamespace' },
  370. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  371. (daySec * 15), 60
  372. ],
  373. [
  374. { period: null, namespace: 'CustomMetricsNamespace' },
  375. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  376. (daySec * 63), 300
  377. ],
  378. [
  379. { period: null, namespace: 'CustomMetricsNamespace' },
  380. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  381. (daySec * 455), 3600
  382. ]
  383. ];
  384. for (let t of testData) {
  385. let target = t[0];
  386. let options = t[1];
  387. let now = new Date(options.range.from.valueOf() + t[2] * 1000);
  388. let expected = t[3];
  389. let actual = ctx.ds.getPeriod(target, options, now);
  390. expect(actual).to.be(expected);
  391. }
  392. });
  393. });