2015-12-21 16:00:58 +01:00
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import "../datasource";
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2017-12-19 16:06:54 +01:00
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import {
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describe,
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beforeEach,
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it,
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expect,
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angularMocks
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} from "test/lib/common";
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import helpers from "test/specs/helpers";
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2017-09-28 14:08:59 +02:00
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import CloudWatchDatasource from "../datasource";
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2015-10-01 17:00:41 +02:00
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2017-12-19 16:06:54 +01:00
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describe("CloudWatchDatasource", function() {
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2015-10-01 17:00:41 +02:00
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var ctx = new helpers.ServiceTestContext();
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2016-01-09 18:36:25 +01:00
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var instanceSettings = {
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2017-12-19 16:06:54 +01:00
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jsonData: { defaultRegion: "us-east-1", access: "proxy" }
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2016-01-09 18:36:25 +01:00
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};
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2015-10-01 17:00:41 +02:00
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2017-12-19 16:06:54 +01:00
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beforeEach(angularMocks.module("grafana.core"));
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beforeEach(angularMocks.module("grafana.services"));
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beforeEach(angularMocks.module("grafana.controllers"));
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beforeEach(ctx.providePhase(["templateSrv", "backendSrv"]));
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beforeEach(
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angularMocks.inject(function($q, $rootScope, $httpBackend, $injector) {
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ctx.$q = $q;
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ctx.$httpBackend = $httpBackend;
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ctx.$rootScope = $rootScope;
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ctx.ds = $injector.instantiate(CloudWatchDatasource, {
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instanceSettings: instanceSettings
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});
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$httpBackend.when("GET", /\.html$/).respond("");
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})
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);
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2015-10-01 17:00:41 +02:00
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2017-12-19 16:06:54 +01:00
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describe("When performing CloudWatch query", function() {
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2015-10-01 17:00:41 +02:00
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var requestParams;
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var query = {
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2017-12-19 16:06:54 +01:00
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range: { from: "now-1h", to: "now" },
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2017-04-03 21:50:40 +09:00
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rangeRaw: { from: 1483228800, to: 1483232400 },
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2015-10-01 17:00:41 +02:00
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targets: [
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{
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2017-12-19 16:06:54 +01:00
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region: "us-east-1",
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namespace: "AWS/EC2",
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metricName: "CPUUtilization",
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2015-10-01 17:00:41 +02:00
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dimensions: {
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2017-12-19 16:06:54 +01:00
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InstanceId: "i-12345678"
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2015-10-01 17:00:41 +02:00
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},
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2017-12-19 16:06:54 +01:00
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statistics: ["Average"],
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period: "300"
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2015-10-01 17:00:41 +02:00
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}
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]
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};
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var response = {
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2017-04-03 21:50:40 +09:00
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timings: [null],
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results: {
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A: {
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2017-12-19 16:06:54 +01:00
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error: "",
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refId: "A",
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series: [
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{
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2017-12-19 16:06:54 +01:00
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name: "CPUUtilization_Average",
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2017-04-03 21:50:40 +09:00
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points: [
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[1, 1483228800000],
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[2, 1483229100000],
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2017-12-19 16:06:54 +01:00
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[5, 1483229700000]
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2017-04-03 21:50:40 +09:00
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],
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tags: {
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2017-12-19 16:06:54 +01:00
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InstanceId: "i-12345678"
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2017-04-03 21:50:40 +09:00
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}
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}
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]
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2015-10-01 17:00:41 +02:00
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}
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2017-04-03 21:50:40 +09:00
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}
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2015-10-01 17:00:41 +02:00
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};
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beforeEach(function() {
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2017-11-12 00:41:14 +09:00
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ctx.backendSrv.datasourceRequest = function(params) {
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requestParams = params.data;
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2017-12-19 16:06:54 +01:00
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return ctx.$q.when({ data: response });
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2015-10-01 17:00:41 +02:00
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};
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});
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2017-12-19 16:06:54 +01:00
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it("should generate the correct query", function(done) {
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ctx.ds.query(query).then(function() {
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var params = requestParams.queries[0];
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2017-09-24 12:25:52 +09:00
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expect(params.namespace).to.be(query.targets[0].namespace);
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expect(params.metricName).to.be(query.targets[0].metricName);
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2017-12-19 16:06:54 +01:00
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expect(params.dimensions["InstanceId"]).to.be("i-12345678");
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2017-09-24 12:25:52 +09:00
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expect(params.statistics).to.eql(query.targets[0].statistics);
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expect(params.period).to.be(query.targets[0].period);
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2015-10-01 17:00:41 +02:00
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done();
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});
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ctx.$rootScope.$apply();
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});
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2017-12-19 16:06:54 +01:00
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it("should generate the correct query with interval variable", function(done) {
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ctx.templateSrv.data = {
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period: "10m"
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2016-04-19 23:14:41 +09:00
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};
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var query = {
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2017-12-19 16:06:54 +01:00
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range: { from: "now-1h", to: "now" },
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2017-04-03 21:50:40 +09:00
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rangeRaw: { from: 1483228800, to: 1483232400 },
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2016-04-19 23:14:41 +09:00
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targets: [
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{
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2017-12-19 16:06:54 +01:00
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region: "us-east-1",
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namespace: "AWS/EC2",
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metricName: "CPUUtilization",
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2016-04-19 23:14:41 +09:00
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dimensions: {
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2017-12-19 16:06:54 +01:00
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InstanceId: "i-12345678"
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2016-04-19 23:14:41 +09:00
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},
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2017-12-19 16:06:54 +01:00
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statistics: ["Average"],
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period: "[[period]]"
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2016-04-19 23:14:41 +09:00
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}
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]
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};
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ctx.ds.query(query).then(function() {
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2017-04-03 21:50:40 +09:00
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var params = requestParams.queries[0];
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2017-12-19 16:06:54 +01:00
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expect(params.period).to.be("600");
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2016-04-19 23:14:41 +09:00
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done();
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});
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ctx.$rootScope.$apply();
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});
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2017-12-19 16:06:54 +01:00
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it("should return series list", function(done) {
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2015-10-01 17:00:41 +02:00
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ctx.ds.query(query).then(function(result) {
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2017-04-03 21:50:40 +09:00
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expect(result.data[0].target).to.be(response.results.A.series[0].name);
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2017-12-19 16:06:54 +01:00
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expect(result.data[0].datapoints[0][0]).to.be(
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response.results.A.series[0].points[0][0]
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);
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2015-11-14 17:43:44 +09:00
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done();
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});
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ctx.$rootScope.$apply();
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});
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2016-04-19 23:27:18 +09:00
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2017-12-19 16:06:54 +01:00
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it("should generate the correct targets by expanding template variables", function() {
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2016-04-19 23:27:18 +09:00
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var templateSrv = {
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variables: [
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{
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name: "instance_id",
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options: [
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2017-12-19 16:06:54 +01:00
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{ text: "i-23456789", value: "i-23456789", selected: false },
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{ text: "i-34567890", value: "i-34567890", selected: true }
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2016-04-19 23:27:18 +09:00
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]
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}
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],
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2017-12-19 16:06:54 +01:00
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replace: function(target, scopedVars) {
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if (
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target === "$instance_id" &&
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scopedVars["instance_id"]["text"] === "i-34567890"
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) {
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return "i-34567890";
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2017-02-23 23:02:35 +09:00
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} else {
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2017-12-19 16:06:54 +01:00
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return "";
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2017-02-23 23:02:35 +09:00
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}
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},
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2017-12-19 16:06:54 +01:00
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getVariableName: function(e) {
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return "instance_id";
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},
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variableExists: function(e) {
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return true;
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},
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containsVariable: function(str, variableName) {
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return str.indexOf("$" + variableName) !== -1;
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}
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2016-04-19 23:27:18 +09:00
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};
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var targets = [
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{
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2017-12-19 16:06:54 +01:00
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region: "us-east-1",
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namespace: "AWS/EC2",
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metricName: "CPUUtilization",
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2016-04-19 23:27:18 +09:00
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dimensions: {
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2017-12-19 16:06:54 +01:00
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InstanceId: "$instance_id"
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2016-04-19 23:27:18 +09:00
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},
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2017-12-19 16:06:54 +01:00
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statistics: ["Average"],
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2016-04-19 23:27:18 +09:00
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period: 300
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}
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];
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2016-12-06 16:16:41 +09:00
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var result = ctx.ds.expandTemplateVariable(targets, {}, templateSrv);
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2017-12-19 16:06:54 +01:00
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expect(result[0].dimensions.InstanceId).to.be("i-34567890");
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2016-04-19 23:27:18 +09:00
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});
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2015-10-01 17:00:41 +02:00
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});
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2017-12-19 16:06:54 +01:00
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describe('When query region is "default"', function() {
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2017-12-11 09:37:27 +01:00
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it('should return the datasource region if empty or "default"', function() {
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var defaultRegion = instanceSettings.jsonData.defaultRegion;
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expect(ctx.ds.getActualRegion()).to.be(defaultRegion);
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2017-12-19 16:06:54 +01:00
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expect(ctx.ds.getActualRegion("")).to.be(defaultRegion);
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2017-12-11 09:37:27 +01:00
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expect(ctx.ds.getActualRegion("default")).to.be(defaultRegion);
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});
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2017-12-19 16:06:54 +01:00
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it("should return the specified region if specified", function() {
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expect(ctx.ds.getActualRegion("some-fake-region-1")).to.be(
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"some-fake-region-1"
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);
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2017-12-11 09:37:27 +01:00
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});
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var requestParams;
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beforeEach(function() {
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ctx.ds.performTimeSeriesQuery = function(request) {
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requestParams = request;
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2017-12-19 16:06:54 +01:00
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return ctx.$q.when({ data: {} });
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2017-12-11 09:37:27 +01:00
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};
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});
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it('should query for the datasource region if empty or "default"', function(done) {
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var query = {
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2017-12-19 16:06:54 +01:00
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range: { from: "now-1h", to: "now" },
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2017-12-11 09:37:27 +01:00
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rangeRaw: { from: 1483228800, to: 1483232400 },
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targets: [
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{
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2017-12-19 16:06:54 +01:00
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region: "default",
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namespace: "AWS/EC2",
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metricName: "CPUUtilization",
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2017-12-11 09:37:27 +01:00
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dimensions: {
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2017-12-19 16:06:54 +01:00
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InstanceId: "i-12345678"
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2017-12-11 09:37:27 +01:00
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},
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2017-12-19 16:06:54 +01:00
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statistics: ["Average"],
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2017-12-11 09:37:27 +01:00
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period: 300
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}
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]
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};
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ctx.ds.query(query).then(function(result) {
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2017-12-19 16:06:54 +01:00
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expect(requestParams.queries[0].region).to.be(
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instanceSettings.jsonData.defaultRegion
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);
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2017-12-11 09:37:27 +01:00
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done();
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});
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ctx.$rootScope.$apply();
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});
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});
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2017-12-19 16:06:54 +01:00
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describe("When performing CloudWatch query for extended statistics", function() {
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2016-12-06 16:12:30 +09:00
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var query = {
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2017-12-19 16:06:54 +01:00
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range: { from: "now-1h", to: "now" },
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2017-04-03 21:50:40 +09:00
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rangeRaw: { from: 1483228800, to: 1483232400 },
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2016-12-06 16:12:30 +09:00
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targets: [
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{
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2017-12-19 16:06:54 +01:00
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region: "us-east-1",
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namespace: "AWS/ApplicationELB",
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metricName: "TargetResponseTime",
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2016-12-06 16:12:30 +09:00
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dimensions: {
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2017-12-19 16:06:54 +01:00
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LoadBalancer: "lb",
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TargetGroup: "tg"
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2016-12-06 16:12:30 +09:00
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},
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2017-12-19 16:06:54 +01:00
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statistics: ["p90.00"],
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2016-12-06 16:12:30 +09:00
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period: 300
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}
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]
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};
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var response = {
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2017-04-03 21:50:40 +09:00
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timings: [null],
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results: {
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A: {
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2017-12-19 16:06:54 +01:00
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error: "",
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refId: "A",
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2017-04-03 21:50:40 +09:00
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series: [
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{
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2017-12-19 16:06:54 +01:00
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name: "TargetResponseTime_p90.00",
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2017-04-03 21:50:40 +09:00
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points: [
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[1, 1483228800000],
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[2, 1483229100000],
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2017-12-19 16:06:54 +01:00
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[5, 1483229700000]
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2017-04-03 21:50:40 +09:00
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],
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tags: {
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2017-12-19 16:06:54 +01:00
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LoadBalancer: "lb",
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TargetGroup: "tg"
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2017-04-03 21:50:40 +09:00
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}
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}
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]
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2016-12-06 16:12:30 +09:00
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}
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2017-04-03 21:50:40 +09:00
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}
|
2016-12-06 16:12:30 +09:00
|
|
|
};
|
|
|
|
|
|
|
|
|
|
beforeEach(function() {
|
2017-11-12 00:41:14 +09:00
|
|
|
ctx.backendSrv.datasourceRequest = function(params) {
|
2017-12-19 16:06:54 +01:00
|
|
|
return ctx.$q.when({ data: response });
|
2016-12-06 16:12:30 +09:00
|
|
|
};
|
|
|
|
|
});
|
|
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
it("should return series list", function(done) {
|
2016-12-06 16:12:30 +09:00
|
|
|
ctx.ds.query(query).then(function(result) {
|
2017-04-03 21:50:40 +09:00
|
|
|
expect(result.data[0].target).to.be(response.results.A.series[0].name);
|
2017-12-19 16:06:54 +01:00
|
|
|
expect(result.data[0].datapoints[0][0]).to.be(
|
|
|
|
|
response.results.A.series[0].points[0][0]
|
|
|
|
|
);
|
2016-12-06 16:12:30 +09:00
|
|
|
done();
|
|
|
|
|
});
|
|
|
|
|
ctx.$rootScope.$apply();
|
|
|
|
|
});
|
|
|
|
|
});
|
|
|
|
|
|
2015-10-02 11:54:35 +02:00
|
|
|
function describeMetricFindQuery(query, func) {
|
2017-12-19 16:06:54 +01:00
|
|
|
describe("metricFindQuery " + query, () => {
|
2015-10-02 11:54:35 +02:00
|
|
|
let scenario: any = {};
|
|
|
|
|
scenario.setup = setupCallback => {
|
|
|
|
|
beforeEach(() => {
|
|
|
|
|
setupCallback();
|
|
|
|
|
ctx.backendSrv.datasourceRequest = args => {
|
2017-11-12 00:41:14 +09:00
|
|
|
scenario.request = args.data;
|
2017-12-19 16:06:54 +01:00
|
|
|
return ctx.$q.when({ data: scenario.requestResponse });
|
2015-10-02 11:54:35 +02:00
|
|
|
};
|
|
|
|
|
ctx.ds.metricFindQuery(query).then(args => {
|
|
|
|
|
scenario.result = args;
|
|
|
|
|
});
|
|
|
|
|
ctx.$rootScope.$apply();
|
|
|
|
|
});
|
2015-10-01 17:00:41 +02:00
|
|
|
};
|
2015-10-02 11:54:35 +02:00
|
|
|
|
|
|
|
|
func(scenario);
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
}
|
2015-10-01 17:00:41 +02:00
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
describeMetricFindQuery("regions()", scenario => {
|
2015-10-02 11:54:35 +02:00
|
|
|
scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
2017-12-19 16:06:54 +01:00
|
|
|
tables: [{ rows: [["us-east-1", "us-east-1"]] }]
|
2017-09-13 21:11:25 +09:00
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
};
|
2015-10-02 11:54:35 +02:00
|
|
|
});
|
2015-10-02 11:10:21 +02:00
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
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");
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
});
|
2015-10-01 17:00:41 +02:00
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
describeMetricFindQuery("namespaces()", scenario => {
|
2015-10-02 11:54:35 +02:00
|
|
|
scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
2017-12-19 16:06:54 +01:00
|
|
|
tables: [{ rows: [["AWS/EC2", "AWS/EC2"]] }]
|
2017-09-13 21:11:25 +09:00
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
};
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
|
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
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");
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
});
|
2015-10-01 17:00:41 +02:00
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
describeMetricFindQuery("metrics(AWS/EC2)", scenario => {
|
2015-10-02 11:54:35 +02:00
|
|
|
scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
2017-12-19 16:06:54 +01:00
|
|
|
tables: [{ rows: [["CPUUtilization", "CPUUtilization"]] }]
|
2017-09-13 21:11:25 +09:00
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
};
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
|
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
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");
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|
|
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
describeMetricFindQuery("dimension_keys(AWS/EC2)", scenario => {
|
2015-10-02 20:25:28 +02:00
|
|
|
scenario.setup(() => {
|
2017-09-13 21:11:25 +09:00
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
2017-12-19 16:06:54 +01:00
|
|
|
tables: [{ rows: [["InstanceId", "InstanceId"]] }]
|
2017-09-13 21:11:25 +09:00
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
};
|
2015-10-02 20:25:28 +02:00
|
|
|
});
|
|
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
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");
|
2015-10-02 20:25:28 +02:00
|
|
|
});
|
2015-10-02 11:54:35 +02:00
|
|
|
});
|
2015-10-02 20:25:28 +02:00
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
describeMetricFindQuery(
|
|
|
|
|
"dimension_values(us-east-1,AWS/EC2,CPUUtilization,InstanceId)",
|
|
|
|
|
scenario => {
|
|
|
|
|
scenario.setup(() => {
|
|
|
|
|
scenario.requestResponse = {
|
|
|
|
|
results: {
|
|
|
|
|
metricFindQuery: {
|
|
|
|
|
tables: [{ rows: [["i-12345678", "i-12345678"]] }]
|
|
|
|
|
}
|
2017-12-11 09:37:27 +01:00
|
|
|
}
|
2017-12-19 16:06:54 +01:00
|
|
|
};
|
|
|
|
|
});
|
2017-12-11 09:37:27 +01:00
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
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"]] }]
|
|
|
|
|
}
|
2015-10-02 20:25:28 +02:00
|
|
|
}
|
2017-12-19 16:06:54 +01:00
|
|
|
};
|
|
|
|
|
});
|
2015-10-02 20:25:28 +02:00
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
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");
|
|
|
|
|
});
|
|
|
|
|
}
|
|
|
|
|
);
|
2017-08-01 04:19:19 +09:00
|
|
|
|
2017-12-19 16:06:54 +01:00
|
|
|
it("should caclculate the correct period", function() {
|
2017-08-01 04:19:19 +09:00
|
|
|
var hourSec = 60 * 60;
|
|
|
|
|
var daySec = hourSec * 24;
|
2017-08-16 16:40:46 +09:00
|
|
|
var start = 1483196400 * 1000;
|
2017-08-01 04:19:19 +09:00
|
|
|
var testData: any[] = [
|
2017-08-16 16:40:46 +09:00
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: 60, namespace: "AWS/EC2" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
hourSec * 3,
|
|
|
|
|
60
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: null, namespace: "AWS/EC2" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
hourSec * 3,
|
|
|
|
|
300
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: 60, namespace: "AWS/ELB" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
hourSec * 3,
|
|
|
|
|
60
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: null, namespace: "AWS/ELB" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
hourSec * 3,
|
|
|
|
|
60
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: 1, namespace: "CustomMetricsNamespace" },
|
|
|
|
|
{
|
|
|
|
|
range: {
|
|
|
|
|
from: new Date(start),
|
|
|
|
|
to: new Date(start + (1440 - 1) * 1000)
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
hourSec * 3 - 1,
|
|
|
|
|
1
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: 1, namespace: "CustomMetricsNamespace" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
hourSec * 3 - 1,
|
|
|
|
|
60
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: 60, namespace: "CustomMetricsNamespace" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
hourSec * 3,
|
|
|
|
|
60
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: null, namespace: "CustomMetricsNamespace" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
hourSec * 3 - 1,
|
|
|
|
|
60
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: null, namespace: "CustomMetricsNamespace" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
hourSec * 3,
|
|
|
|
|
60
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: null, namespace: "CustomMetricsNamespace" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
daySec * 15,
|
|
|
|
|
60
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: null, namespace: "CustomMetricsNamespace" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
daySec * 63,
|
|
|
|
|
300
|
2017-08-16 16:40:46 +09:00
|
|
|
],
|
|
|
|
|
[
|
2017-12-19 16:06:54 +01:00
|
|
|
{ period: null, namespace: "CustomMetricsNamespace" },
|
2017-08-16 16:40:46 +09:00
|
|
|
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
|
2017-12-19 16:06:54 +01:00
|
|
|
daySec * 455,
|
|
|
|
|
3600
|
2017-08-16 16:40:46 +09:00
|
|
|
]
|
2017-08-01 04:19:19 +09:00
|
|
|
];
|
|
|
|
|
for (let t of testData) {
|
|
|
|
|
let target = t[0];
|
2017-08-16 16:40:46 +09:00
|
|
|
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);
|
2017-08-01 04:19:19 +09:00
|
|
|
expect(actual).to.be(expected);
|
|
|
|
|
}
|
|
|
|
|
});
|
2015-10-01 17:00:41 +02:00
|
|
|
});
|