The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 
grafana/public/app/plugins/datasource/cloudwatch/specs/datasource.jest.ts

453 lines
13 KiB

import '../datasource';
import CloudWatchDatasource from '../datasource';
import * as dateMath from 'app/core/utils/datemath';
import _ from 'lodash';
describe('CloudWatchDatasource', function() {
let instanceSettings = {
jsonData: { defaultRegion: 'us-east-1', access: 'proxy' },
};
let templateSrv = {
data: {},
templateSettings: { interpolate: /\[\[([\s\S]+?)\]\]/g },
replace: text => _.template(text, templateSrv.templateSettings)(templateSrv.data),
variableExists: () => false,
};
let timeSrv = {
time: { from: 'now-1h', to: 'now' },
timeRange: () => {
return {
from: dateMath.parse(timeSrv.time.from, false),
to: dateMath.parse(timeSrv.time.to, true),
};
},
};
let backendSrv = {};
let ctx = <any>{
backendSrv,
templateSrv,
};
beforeEach(() => {
ctx.ds = new CloudWatchDatasource(instanceSettings, {}, backendSrv, templateSrv, timeSrv);
});
describe('When performing CloudWatch query', function() {
var requestParams;
var query = {
range: { from: 'now-1h', to: 'now' },
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 = {
timings: [null],
results: {
A: {
error: '',
refId: 'A',
series: [
{
name: 'CPUUtilization_Average',
points: [[1, 1483228800000], [2, 1483229100000], [5, 1483229700000]],
tags: {
InstanceId: 'i-12345678',
},
},
],
},
},
};
beforeEach(() => {
ctx.backendSrv.datasourceRequest = jest.fn(params => {
requestParams = params.data;
return Promise.resolve({ data: response });
});
});
it('should generate the correct query', function(done) {
ctx.ds.query(query).then(function() {
var params = requestParams.queries[0];
expect(params.namespace).toBe(query.targets[0].namespace);
expect(params.metricName).toBe(query.targets[0].metricName);
expect(params.dimensions['InstanceId']).toBe('i-12345678');
expect(params.statistics).toEqual(query.targets[0].statistics);
expect(params.period).toBe(query.targets[0].period);
done();
});
});
it('should generate the correct query with interval variable', function(done) {
ctx.templateSrv.data = {
period: '10m',
};
var query = {
range: { from: 'now-1h', to: 'now' },
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() {
var params = requestParams.queries[0];
expect(params.period).toBe('600');
done();
});
});
it('should return series list', function(done) {
ctx.ds.query(query).then(function(result) {
expect(result.data[0].target).toBe(response.results.A.series[0].name);
expect(result.data[0].datapoints[0][0]).toBe(response.results.A.series[0].points[0][0]);
done();
});
});
});
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()).toBe(defaultRegion);
expect(ctx.ds.getActualRegion('')).toBe(defaultRegion);
expect(ctx.ds.getActualRegion('default')).toBe(defaultRegion);
});
it('should return the specified region if specified', function() {
expect(ctx.ds.getActualRegion('some-fake-region-1')).toBe('some-fake-region-1');
});
var requestParams;
beforeEach(function() {
ctx.ds.performTimeSeriesQuery = jest.fn(request => {
requestParams = request;
return Promise.resolve({ 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).toBe(instanceSettings.jsonData.defaultRegion);
done();
});
});
});
describe('When performing CloudWatch query for extended statistics', function() {
var query = {
range: { from: 'now-1h', to: 'now' },
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 = {
timings: [null],
results: {
A: {
error: '',
refId: 'A',
series: [
{
name: 'TargetResponseTime_p90.00',
points: [[1, 1483228800000], [2, 1483229100000], [5, 1483229700000]],
tags: {
LoadBalancer: 'lb',
TargetGroup: 'tg',
},
},
],
},
},
};
beforeEach(function() {
ctx.backendSrv.datasourceRequest = jest.fn(params => {
return Promise.resolve({ data: response });
});
});
it('should return series list', function(done) {
ctx.ds.query(query).then(function(result) {
expect(result.data[0].target).toBe(response.results.A.series[0].name);
expect(result.data[0].datapoints[0][0]).toBe(response.results.A.series[0].points[0][0]);
done();
});
});
});
function describeMetricFindQuery(query, func) {
describe('metricFindQuery ' + query, () => {
let scenario: any = {};
scenario.setup = setupCallback => {
beforeEach(() => {
setupCallback();
ctx.backendSrv.datasourceRequest = jest.fn(args => {
scenario.request = args.data;
return Promise.resolve({ data: scenario.requestResponse });
});
ctx.ds.metricFindQuery(query).then(args => {
scenario.result = args;
});
});
};
func(scenario);
});
}
describeMetricFindQuery('regions()', scenario => {
scenario.setup(() => {
scenario.requestResponse = {
results: {
metricFindQuery: {
tables: [{ rows: [['us-east-1', 'us-east-1']] }],
},
},
};
});
it('should call __GetRegions and return result', () => {
expect(scenario.result[0].text).toContain('us-east-1');
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
expect(scenario.request.queries[0].subtype).toBe('regions');
});
});
describeMetricFindQuery('namespaces()', scenario => {
scenario.setup(() => {
scenario.requestResponse = {
results: {
metricFindQuery: {
tables: [{ rows: [['AWS/EC2', 'AWS/EC2']] }],
},
},
};
});
it('should call __GetNamespaces and return result', () => {
expect(scenario.result[0].text).toContain('AWS/EC2');
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
expect(scenario.request.queries[0].subtype).toBe('namespaces');
});
});
describeMetricFindQuery('metrics(AWS/EC2)', scenario => {
scenario.setup(() => {
scenario.requestResponse = {
results: {
metricFindQuery: {
tables: [{ rows: [['CPUUtilization', 'CPUUtilization']] }],
},
},
};
});
it('should call __GetMetrics and return result', () => {
expect(scenario.result[0].text).toBe('CPUUtilization');
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
expect(scenario.request.queries[0].subtype).toBe('metrics');
});
});
describeMetricFindQuery('dimension_keys(AWS/EC2)', scenario => {
scenario.setup(() => {
scenario.requestResponse = {
results: {
metricFindQuery: {
tables: [{ rows: [['InstanceId', 'InstanceId']] }],
},
},
};
});
it('should call __GetDimensions and return result', () => {
expect(scenario.result[0].text).toBe('InstanceId');
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
expect(scenario.request.queries[0].subtype).toBe('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).toContain('i-12345678');
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
expect(scenario.request.queries[0].subtype).toBe('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).toContain('i-12345678');
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
expect(scenario.request.queries[0].subtype).toBe('dimension_values');
});
});
it('should caclculate the correct period', function() {
var hourSec = 60 * 60;
var daySec = hourSec * 24;
var start = 1483196400 * 1000;
var testData: any[] = [
[
{ period: 60, namespace: 'AWS/EC2' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
hourSec * 3,
60,
],
[
{ period: null, namespace: 'AWS/EC2' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
hourSec * 3,
300,
],
[
{ period: 60, namespace: 'AWS/ELB' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
hourSec * 3,
60,
],
[
{ period: null, namespace: 'AWS/ELB' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
hourSec * 3,
60,
],
[
{ period: 1, namespace: 'CustomMetricsNamespace' },
{
range: {
from: new Date(start),
to: new Date(start + (1440 - 1) * 1000),
},
},
hourSec * 3 - 1,
1,
],
[
{ period: 1, namespace: 'CustomMetricsNamespace' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
hourSec * 3 - 1,
60,
],
[
{ period: 60, namespace: 'CustomMetricsNamespace' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
hourSec * 3,
60,
],
[
{ period: null, namespace: 'CustomMetricsNamespace' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
hourSec * 3 - 1,
60,
],
[
{ period: null, namespace: 'CustomMetricsNamespace' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
hourSec * 3,
60,
],
[
{ period: null, namespace: 'CustomMetricsNamespace' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
daySec * 15,
60,
],
[
{ period: null, namespace: 'CustomMetricsNamespace' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
daySec * 63,
300,
],
[
{ period: null, namespace: 'CustomMetricsNamespace' },
{ range: { from: new Date(start), to: new Date(start + 3600 * 1000) } },
daySec * 455,
3600,
],
];
for (let t of testData) {
let target = t[0];
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).toBe(expected);
}
});
});