Files
grafana/public/app/plugins/datasource/cloudwatch/specs/datasource_specs.ts

529 lines
15 KiB
TypeScript
Raw Normal View History

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