datasource_specs.ts 15 KB

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  1. import "../datasource";
  2. import {
  3. describe,
  4. beforeEach,
  5. it,
  6. expect,
  7. angularMocks
  8. } from "test/lib/common";
  9. import helpers from "test/specs/helpers";
  10. import CloudWatchDatasource from "../datasource";
  11. describe("CloudWatchDatasource", function() {
  12. var ctx = new helpers.ServiceTestContext();
  13. var instanceSettings = {
  14. jsonData: { defaultRegion: "us-east-1", access: "proxy" }
  15. };
  16. beforeEach(angularMocks.module("grafana.core"));
  17. beforeEach(angularMocks.module("grafana.services"));
  18. beforeEach(angularMocks.module("grafana.controllers"));
  19. beforeEach(ctx.providePhase(["templateSrv", "backendSrv"]));
  20. beforeEach(
  21. angularMocks.inject(function($q, $rootScope, $httpBackend, $injector) {
  22. ctx.$q = $q;
  23. ctx.$httpBackend = $httpBackend;
  24. ctx.$rootScope = $rootScope;
  25. ctx.ds = $injector.instantiate(CloudWatchDatasource, {
  26. instanceSettings: instanceSettings
  27. });
  28. $httpBackend.when("GET", /\.html$/).respond("");
  29. })
  30. );
  31. describe("When performing CloudWatch query", function() {
  32. var requestParams;
  33. var query = {
  34. range: { from: "now-1h", to: "now" },
  35. rangeRaw: { from: 1483228800, to: 1483232400 },
  36. targets: [
  37. {
  38. region: "us-east-1",
  39. namespace: "AWS/EC2",
  40. metricName: "CPUUtilization",
  41. dimensions: {
  42. InstanceId: "i-12345678"
  43. },
  44. statistics: ["Average"],
  45. period: "300"
  46. }
  47. ]
  48. };
  49. var response = {
  50. timings: [null],
  51. results: {
  52. A: {
  53. error: "",
  54. refId: "A",
  55. series: [
  56. {
  57. name: "CPUUtilization_Average",
  58. points: [
  59. [1, 1483228800000],
  60. [2, 1483229100000],
  61. [5, 1483229700000]
  62. ],
  63. tags: {
  64. InstanceId: "i-12345678"
  65. }
  66. }
  67. ]
  68. }
  69. }
  70. };
  71. beforeEach(function() {
  72. ctx.backendSrv.datasourceRequest = function(params) {
  73. requestParams = params.data;
  74. return ctx.$q.when({ data: response });
  75. };
  76. });
  77. it("should generate the correct query", function(done) {
  78. ctx.ds.query(query).then(function() {
  79. var params = requestParams.queries[0];
  80. expect(params.namespace).to.be(query.targets[0].namespace);
  81. expect(params.metricName).to.be(query.targets[0].metricName);
  82. expect(params.dimensions["InstanceId"]).to.be("i-12345678");
  83. expect(params.statistics).to.eql(query.targets[0].statistics);
  84. expect(params.period).to.be(query.targets[0].period);
  85. done();
  86. });
  87. ctx.$rootScope.$apply();
  88. });
  89. it("should generate the correct query with interval variable", function(done) {
  90. ctx.templateSrv.data = {
  91. period: "10m"
  92. };
  93. var query = {
  94. range: { from: "now-1h", to: "now" },
  95. rangeRaw: { from: 1483228800, to: 1483232400 },
  96. targets: [
  97. {
  98. region: "us-east-1",
  99. namespace: "AWS/EC2",
  100. metricName: "CPUUtilization",
  101. dimensions: {
  102. InstanceId: "i-12345678"
  103. },
  104. statistics: ["Average"],
  105. period: "[[period]]"
  106. }
  107. ]
  108. };
  109. ctx.ds.query(query).then(function() {
  110. var params = requestParams.queries[0];
  111. expect(params.period).to.be("600");
  112. done();
  113. });
  114. ctx.$rootScope.$apply();
  115. });
  116. it("should return series list", function(done) {
  117. ctx.ds.query(query).then(function(result) {
  118. expect(result.data[0].target).to.be(response.results.A.series[0].name);
  119. expect(result.data[0].datapoints[0][0]).to.be(
  120. response.results.A.series[0].points[0][0]
  121. );
  122. done();
  123. });
  124. ctx.$rootScope.$apply();
  125. });
  126. it("should generate the correct targets by expanding template variables", function() {
  127. var templateSrv = {
  128. variables: [
  129. {
  130. name: "instance_id",
  131. options: [
  132. { text: "i-23456789", value: "i-23456789", selected: false },
  133. { text: "i-34567890", value: "i-34567890", selected: true }
  134. ]
  135. }
  136. ],
  137. replace: function(target, scopedVars) {
  138. if (
  139. target === "$instance_id" &&
  140. scopedVars["instance_id"]["text"] === "i-34567890"
  141. ) {
  142. return "i-34567890";
  143. } else {
  144. return "";
  145. }
  146. },
  147. getVariableName: function(e) {
  148. return "instance_id";
  149. },
  150. variableExists: function(e) {
  151. return true;
  152. },
  153. containsVariable: function(str, variableName) {
  154. return str.indexOf("$" + variableName) !== -1;
  155. }
  156. };
  157. var targets = [
  158. {
  159. region: "us-east-1",
  160. namespace: "AWS/EC2",
  161. metricName: "CPUUtilization",
  162. dimensions: {
  163. InstanceId: "$instance_id"
  164. },
  165. statistics: ["Average"],
  166. period: 300
  167. }
  168. ];
  169. var result = ctx.ds.expandTemplateVariable(targets, {}, templateSrv);
  170. expect(result[0].dimensions.InstanceId).to.be("i-34567890");
  171. });
  172. });
  173. describe('When query region is "default"', function() {
  174. it('should return the datasource region if empty or "default"', function() {
  175. var defaultRegion = instanceSettings.jsonData.defaultRegion;
  176. expect(ctx.ds.getActualRegion()).to.be(defaultRegion);
  177. expect(ctx.ds.getActualRegion("")).to.be(defaultRegion);
  178. expect(ctx.ds.getActualRegion("default")).to.be(defaultRegion);
  179. });
  180. it("should return the specified region if specified", function() {
  181. expect(ctx.ds.getActualRegion("some-fake-region-1")).to.be(
  182. "some-fake-region-1"
  183. );
  184. });
  185. var requestParams;
  186. beforeEach(function() {
  187. ctx.ds.performTimeSeriesQuery = function(request) {
  188. requestParams = request;
  189. return ctx.$q.when({ data: {} });
  190. };
  191. });
  192. it('should query for the datasource region if empty or "default"', function(done) {
  193. var query = {
  194. range: { from: "now-1h", to: "now" },
  195. rangeRaw: { from: 1483228800, to: 1483232400 },
  196. targets: [
  197. {
  198. region: "default",
  199. namespace: "AWS/EC2",
  200. metricName: "CPUUtilization",
  201. dimensions: {
  202. InstanceId: "i-12345678"
  203. },
  204. statistics: ["Average"],
  205. period: 300
  206. }
  207. ]
  208. };
  209. ctx.ds.query(query).then(function(result) {
  210. expect(requestParams.queries[0].region).to.be(
  211. instanceSettings.jsonData.defaultRegion
  212. );
  213. done();
  214. });
  215. ctx.$rootScope.$apply();
  216. });
  217. });
  218. describe("When performing CloudWatch query for extended statistics", function() {
  219. var query = {
  220. range: { from: "now-1h", to: "now" },
  221. rangeRaw: { from: 1483228800, to: 1483232400 },
  222. targets: [
  223. {
  224. region: "us-east-1",
  225. namespace: "AWS/ApplicationELB",
  226. metricName: "TargetResponseTime",
  227. dimensions: {
  228. LoadBalancer: "lb",
  229. TargetGroup: "tg"
  230. },
  231. statistics: ["p90.00"],
  232. period: 300
  233. }
  234. ]
  235. };
  236. var response = {
  237. timings: [null],
  238. results: {
  239. A: {
  240. error: "",
  241. refId: "A",
  242. series: [
  243. {
  244. name: "TargetResponseTime_p90.00",
  245. points: [
  246. [1, 1483228800000],
  247. [2, 1483229100000],
  248. [5, 1483229700000]
  249. ],
  250. tags: {
  251. LoadBalancer: "lb",
  252. TargetGroup: "tg"
  253. }
  254. }
  255. ]
  256. }
  257. }
  258. };
  259. beforeEach(function() {
  260. ctx.backendSrv.datasourceRequest = function(params) {
  261. return ctx.$q.when({ data: response });
  262. };
  263. });
  264. it("should return series list", function(done) {
  265. ctx.ds.query(query).then(function(result) {
  266. expect(result.data[0].target).to.be(response.results.A.series[0].name);
  267. expect(result.data[0].datapoints[0][0]).to.be(
  268. response.results.A.series[0].points[0][0]
  269. );
  270. done();
  271. });
  272. ctx.$rootScope.$apply();
  273. });
  274. });
  275. function describeMetricFindQuery(query, func) {
  276. describe("metricFindQuery " + query, () => {
  277. let scenario: any = {};
  278. scenario.setup = setupCallback => {
  279. beforeEach(() => {
  280. setupCallback();
  281. ctx.backendSrv.datasourceRequest = args => {
  282. scenario.request = args.data;
  283. return ctx.$q.when({ data: scenario.requestResponse });
  284. };
  285. ctx.ds.metricFindQuery(query).then(args => {
  286. scenario.result = args;
  287. });
  288. ctx.$rootScope.$apply();
  289. });
  290. };
  291. func(scenario);
  292. });
  293. }
  294. describeMetricFindQuery("regions()", scenario => {
  295. scenario.setup(() => {
  296. scenario.requestResponse = {
  297. results: {
  298. metricFindQuery: {
  299. tables: [{ rows: [["us-east-1", "us-east-1"]] }]
  300. }
  301. }
  302. };
  303. });
  304. it("should call __GetRegions and return result", () => {
  305. expect(scenario.result[0].text).to.contain("us-east-1");
  306. expect(scenario.request.queries[0].type).to.be("metricFindQuery");
  307. expect(scenario.request.queries[0].subtype).to.be("regions");
  308. });
  309. });
  310. describeMetricFindQuery("namespaces()", scenario => {
  311. scenario.setup(() => {
  312. scenario.requestResponse = {
  313. results: {
  314. metricFindQuery: {
  315. tables: [{ rows: [["AWS/EC2", "AWS/EC2"]] }]
  316. }
  317. }
  318. };
  319. });
  320. it("should call __GetNamespaces and return result", () => {
  321. expect(scenario.result[0].text).to.contain("AWS/EC2");
  322. expect(scenario.request.queries[0].type).to.be("metricFindQuery");
  323. expect(scenario.request.queries[0].subtype).to.be("namespaces");
  324. });
  325. });
  326. describeMetricFindQuery("metrics(AWS/EC2)", scenario => {
  327. scenario.setup(() => {
  328. scenario.requestResponse = {
  329. results: {
  330. metricFindQuery: {
  331. tables: [{ rows: [["CPUUtilization", "CPUUtilization"]] }]
  332. }
  333. }
  334. };
  335. });
  336. it("should call __GetMetrics and return result", () => {
  337. expect(scenario.result[0].text).to.be("CPUUtilization");
  338. expect(scenario.request.queries[0].type).to.be("metricFindQuery");
  339. expect(scenario.request.queries[0].subtype).to.be("metrics");
  340. });
  341. });
  342. describeMetricFindQuery("dimension_keys(AWS/EC2)", scenario => {
  343. scenario.setup(() => {
  344. scenario.requestResponse = {
  345. results: {
  346. metricFindQuery: {
  347. tables: [{ rows: [["InstanceId", "InstanceId"]] }]
  348. }
  349. }
  350. };
  351. });
  352. it("should call __GetDimensions and return result", () => {
  353. expect(scenario.result[0].text).to.be("InstanceId");
  354. expect(scenario.request.queries[0].type).to.be("metricFindQuery");
  355. expect(scenario.request.queries[0].subtype).to.be("dimension_keys");
  356. });
  357. });
  358. describeMetricFindQuery(
  359. "dimension_values(us-east-1,AWS/EC2,CPUUtilization,InstanceId)",
  360. scenario => {
  361. scenario.setup(() => {
  362. scenario.requestResponse = {
  363. results: {
  364. metricFindQuery: {
  365. tables: [{ rows: [["i-12345678", "i-12345678"]] }]
  366. }
  367. }
  368. };
  369. });
  370. it("should call __ListMetrics and return result", () => {
  371. expect(scenario.result[0].text).to.contain("i-12345678");
  372. expect(scenario.request.queries[0].type).to.be("metricFindQuery");
  373. expect(scenario.request.queries[0].subtype).to.be("dimension_values");
  374. });
  375. }
  376. );
  377. describeMetricFindQuery(
  378. "dimension_values(default,AWS/EC2,CPUUtilization,InstanceId)",
  379. scenario => {
  380. scenario.setup(() => {
  381. scenario.requestResponse = {
  382. results: {
  383. metricFindQuery: {
  384. tables: [{ rows: [["i-12345678", "i-12345678"]] }]
  385. }
  386. }
  387. };
  388. });
  389. it("should call __ListMetrics and return result", () => {
  390. expect(scenario.result[0].text).to.contain("i-12345678");
  391. expect(scenario.request.queries[0].type).to.be("metricFindQuery");
  392. expect(scenario.request.queries[0].subtype).to.be("dimension_values");
  393. });
  394. }
  395. );
  396. it("should caclculate the correct period", function() {
  397. var hourSec = 60 * 60;
  398. var daySec = hourSec * 24;
  399. var start = 1483196400 * 1000;
  400. var testData: any[] = [
  401. [
  402. { period: 60, namespace: "AWS/EC2" },
  403. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  404. hourSec * 3,
  405. 60
  406. ],
  407. [
  408. { period: null, namespace: "AWS/EC2" },
  409. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  410. hourSec * 3,
  411. 300
  412. ],
  413. [
  414. { period: 60, namespace: "AWS/ELB" },
  415. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  416. hourSec * 3,
  417. 60
  418. ],
  419. [
  420. { period: null, namespace: "AWS/ELB" },
  421. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  422. hourSec * 3,
  423. 60
  424. ],
  425. [
  426. { period: 1, namespace: "CustomMetricsNamespace" },
  427. {
  428. range: {
  429. from: new Date(start),
  430. to: new Date(start + (1440 - 1) * 1000)
  431. }
  432. },
  433. hourSec * 3 - 1,
  434. 1
  435. ],
  436. [
  437. { period: 1, namespace: "CustomMetricsNamespace" },
  438. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  439. hourSec * 3 - 1,
  440. 60
  441. ],
  442. [
  443. { period: 60, namespace: "CustomMetricsNamespace" },
  444. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  445. hourSec * 3,
  446. 60
  447. ],
  448. [
  449. { period: null, namespace: "CustomMetricsNamespace" },
  450. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  451. hourSec * 3 - 1,
  452. 60
  453. ],
  454. [
  455. { period: null, namespace: "CustomMetricsNamespace" },
  456. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  457. hourSec * 3,
  458. 60
  459. ],
  460. [
  461. { period: null, namespace: "CustomMetricsNamespace" },
  462. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  463. daySec * 15,
  464. 60
  465. ],
  466. [
  467. { period: null, namespace: "CustomMetricsNamespace" },
  468. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  469. daySec * 63,
  470. 300
  471. ],
  472. [
  473. { period: null, namespace: "CustomMetricsNamespace" },
  474. { range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
  475. daySec * 455,
  476. 3600
  477. ]
  478. ];
  479. for (let t of testData) {
  480. let target = t[0];
  481. let options = t[1];
  482. let now = new Date(options.range.from.valueOf() + t[2] * 1000);
  483. let expected = t[3];
  484. let actual = ctx.ds.getPeriod(target, options, now);
  485. expect(actual).to.be(expected);
  486. }
  487. });
  488. });