Files
grafana/public/app/plugins/datasource/cloudwatch/specs/datasource.test.ts
2019-07-05 23:43:12 -07:00

717 lines
22 KiB
TypeScript

import '../datasource';
import CloudWatchDatasource from '../datasource';
import { dateMath } from '@grafana/data';
import { TemplateSrv } from 'app/features/templating/template_srv';
import { CustomVariable } from 'app/features/templating/all';
import _ from 'lodash';
import { CloudWatchQuery } from '../types';
import { DataSourceInstanceSettings } from '@grafana/ui';
import { BackendSrv } from 'app/core/services/backend_srv';
import { TimeSrv } from 'app/features/dashboard/services/TimeSrv';
describe('CloudWatchDatasource', () => {
const instanceSettings = {
jsonData: { defaultRegion: 'us-east-1' },
} as DataSourceInstanceSettings;
const templateSrv = new TemplateSrv();
const timeSrv = {
time: { from: 'now-1h', to: 'now' },
timeRange: () => {
return {
from: dateMath.parse(timeSrv.time.from, false),
to: dateMath.parse(timeSrv.time.to, true),
};
},
} as TimeSrv;
const backendSrv = {} as BackendSrv;
const ctx = {
backendSrv,
templateSrv,
} as any;
beforeEach(() => {
ctx.ds = new CloudWatchDatasource(instanceSettings, {}, backendSrv, templateSrv, timeSrv);
});
describe('When performing CloudWatch query', () => {
let requestParams: { queries: CloudWatchQuery[] };
const query = {
range: { from: 'now-1h', to: 'now' },
rangeRaw: { from: 1483228800, to: 1483232400 },
targets: [
{
refId: 'A',
region: 'us-east-1',
namespace: 'AWS/EC2',
metricName: 'CPUUtilization',
dimensions: {
InstanceId: 'i-12345678',
},
statistics: ['Average'],
period: '300',
},
],
};
const response = {
timings: [null],
results: {
A: {
error: '',
refId: 'A',
meta: {},
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', done => {
ctx.ds.query(query).then(() => {
const 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', done => {
templateSrv.init([
new CustomVariable(
{
name: 'period',
current: {
value: '10m',
},
multi: false,
},
{}
),
]);
const query = {
range: { from: 'now-1h', to: 'now' },
rangeRaw: { from: 1483228800, to: 1483232400 },
targets: [
{
refId: 'A',
region: 'us-east-1',
namespace: 'AWS/EC2',
metricName: 'CPUUtilization',
dimensions: {
InstanceId: 'i-12345678',
},
statistics: ['Average'],
period: '[[period]]',
},
],
};
ctx.ds.query(query).then(() => {
const params = requestParams.queries[0];
expect(params.period).toBe('600');
done();
});
});
it.each(['pNN.NN', 'p9', 'p99.', 'p99.999'])('should cancel query for invalid extended statistics (%s)', stat => {
const query = {
range: { from: 'now-1h', to: 'now' },
rangeRaw: { from: 1483228800, to: 1483232400 },
targets: [
{
refId: 'A',
region: 'us-east-1',
namespace: 'AWS/EC2',
metricName: 'CPUUtilization',
dimensions: {
InstanceId: 'i-12345678',
},
statistics: [stat],
period: '60s',
},
],
};
expect(ctx.ds.query.bind(ctx.ds, query)).toThrow(/Invalid extended statistics/);
});
it('should return series list', done => {
ctx.ds.query(query).then(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"', () => {
it('should return the datasource region if empty or "default"', () => {
const 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', () => {
expect(ctx.ds.getActualRegion('some-fake-region-1')).toBe('some-fake-region-1');
});
let requestParams: { queries: CloudWatchQuery[] };
beforeEach(() => {
ctx.ds.performTimeSeriesQuery = jest.fn(request => {
requestParams = request;
return Promise.resolve({ data: {} });
});
});
it('should query for the datasource region if empty or "default"', done => {
const query = {
range: { from: 'now-1h', to: 'now' },
rangeRaw: { from: 1483228800, to: 1483232400 },
targets: [
{
refId: 'A',
region: 'default',
namespace: 'AWS/EC2',
metricName: 'CPUUtilization',
dimensions: {
InstanceId: 'i-12345678',
},
statistics: ['Average'],
period: 300,
},
],
};
ctx.ds.query(query).then(result => {
expect(requestParams.queries[0].region).toBe(instanceSettings.jsonData.defaultRegion);
done();
});
});
});
describe('When performing CloudWatch query for extended statistics', () => {
const query = {
range: { from: 'now-1h', to: 'now' },
rangeRaw: { from: 1483228800, to: 1483232400 },
targets: [
{
refId: 'A',
region: 'us-east-1',
namespace: 'AWS/ApplicationELB',
metricName: 'TargetResponseTime',
dimensions: {
LoadBalancer: 'lb',
TargetGroup: 'tg',
},
statistics: ['p90.00'],
period: 300,
},
],
};
const response = {
timings: [null],
results: {
A: {
error: '',
refId: 'A',
meta: {},
series: [
{
name: 'TargetResponseTime_p90.00',
points: [[1, 1483228800000], [2, 1483229100000], [5, 1483229700000]],
tags: {
LoadBalancer: 'lb',
TargetGroup: 'tg',
},
},
],
},
},
};
beforeEach(() => {
ctx.backendSrv.datasourceRequest = jest.fn(params => {
return Promise.resolve({ data: response });
});
});
it('should return series list', done => {
ctx.ds.query(query).then(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 performing CloudWatch query with template variables', () => {
let requestParams: { queries: CloudWatchQuery[] };
beforeEach(() => {
templateSrv.init([
new CustomVariable(
{
name: 'var1',
current: {
value: 'var1-foo',
},
multi: false,
},
{}
),
new CustomVariable(
{
name: 'var2',
current: {
value: 'var2-foo',
},
multi: false,
},
{}
),
new CustomVariable(
{
name: 'var3',
options: [
{ selected: true, value: 'var3-foo' },
{ selected: false, value: 'var3-bar' },
{ selected: true, value: 'var3-baz' },
],
current: {
value: ['var3-foo', 'var3-baz'],
},
multi: true,
},
{}
),
]);
ctx.backendSrv.datasourceRequest = jest.fn(params => {
requestParams = params.data;
return Promise.resolve({ data: {} });
});
});
it('should generate the correct query for single template variable', done => {
const query = {
range: { from: 'now-1h', to: 'now' },
rangeRaw: { from: 1483228800, to: 1483232400 },
targets: [
{
refId: 'A',
region: 'us-east-1',
namespace: 'TestNamespace',
metricName: 'TestMetricName',
dimensions: {
dim2: '[[var2]]',
},
statistics: ['Average'],
period: 300,
},
],
};
ctx.ds.query(query).then(() => {
expect(requestParams.queries[0].dimensions['dim2']).toBe('var2-foo');
done();
});
});
it('should generate the correct query for multilple template variables', done => {
const query = {
range: { from: 'now-1h', to: 'now' },
rangeRaw: { from: 1483228800, to: 1483232400 },
targets: [
{
refId: 'A',
region: 'us-east-1',
namespace: 'TestNamespace',
metricName: 'TestMetricName',
dimensions: {
dim1: '[[var1]]',
dim2: '[[var2]]',
dim3: '[[var3]]',
},
statistics: ['Average'],
period: 300,
},
],
scopedVars: {
var1: { selected: true, value: 'var1-foo' },
var2: { selected: true, value: 'var2-foo' },
},
};
ctx.ds.query(query).then(() => {
expect(requestParams.queries[0].dimensions['dim1']).toBe('var1-foo');
expect(requestParams.queries[0].dimensions['dim2']).toBe('var2-foo');
expect(requestParams.queries[0].dimensions['dim3']).toBe('var3-foo');
expect(requestParams.queries[1].dimensions['dim1']).toBe('var1-foo');
expect(requestParams.queries[1].dimensions['dim2']).toBe('var2-foo');
expect(requestParams.queries[1].dimensions['dim3']).toBe('var3-baz');
done();
});
});
it('should generate the correct query for multilple template variables, lack scopedVars', done => {
const query = {
range: { from: 'now-1h', to: 'now' },
rangeRaw: { from: 1483228800, to: 1483232400 },
targets: [
{
refId: 'A',
region: 'us-east-1',
namespace: 'TestNamespace',
metricName: 'TestMetricName',
dimensions: {
dim1: '[[var1]]',
dim2: '[[var2]]',
dim3: '[[var3]]',
},
statistics: ['Average'],
period: 300,
},
],
scopedVars: {
var1: { selected: true, value: 'var1-foo' },
},
};
ctx.ds.query(query).then(() => {
expect(requestParams.queries[0].dimensions['dim1']).toBe('var1-foo');
expect(requestParams.queries[0].dimensions['dim2']).toBe('var2-foo');
expect(requestParams.queries[0].dimensions['dim3']).toBe('var3-foo');
expect(requestParams.queries[1].dimensions['dim1']).toBe('var1-foo');
expect(requestParams.queries[1].dimensions['dim2']).toBe('var2-foo');
expect(requestParams.queries[1].dimensions['dim3']).toBe('var3-baz');
done();
});
});
it('should generate the correct query for multilple template variables with expression', done => {
const query = {
range: { from: 'now-1h', to: 'now' },
rangeRaw: { from: 1483228800, to: 1483232400 },
targets: [
{
refId: 'A',
id: 'id1',
region: 'us-east-1',
namespace: 'TestNamespace',
metricName: 'TestMetricName',
dimensions: {
dim1: '[[var1]]',
dim2: '[[var2]]',
dim3: '[[var3]]',
},
statistics: ['Average'],
period: 300,
expression: '',
},
{
refId: 'B',
id: 'id2',
expression: 'METRICS("id1") * 2',
dimensions: {
// garbage data for fail test
dim1: '[[var1]]',
dim2: '[[var2]]',
dim3: '[[var3]]',
},
statistics: [], // dummy
},
],
scopedVars: {
var1: { selected: true, value: 'var1-foo' },
var2: { selected: true, value: 'var2-foo' },
},
};
ctx.ds.query(query).then(() => {
expect(requestParams.queries.length).toBe(3);
expect(requestParams.queries[0].id).toMatch(/^id1.*/);
expect(requestParams.queries[0].dimensions['dim1']).toBe('var1-foo');
expect(requestParams.queries[0].dimensions['dim2']).toBe('var2-foo');
expect(requestParams.queries[0].dimensions['dim3']).toBe('var3-foo');
expect(requestParams.queries[1].id).toMatch(/^id1.*/);
expect(requestParams.queries[1].dimensions['dim1']).toBe('var1-foo');
expect(requestParams.queries[1].dimensions['dim2']).toBe('var2-foo');
expect(requestParams.queries[1].dimensions['dim3']).toBe('var3-baz');
expect(requestParams.queries[2].id).toMatch(/^id2.*/);
expect(requestParams.queries[2].expression).toBe('METRICS("id1") * 2');
done();
});
});
});
function describeMetricFindQuery(query, func) {
describe('metricFindQuery ' + query, () => {
const 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');
});
});
describeMetricFindQuery('resource_arns(default,ec2:instance,{"environment":["production"]})', scenario => {
scenario.setup(() => {
scenario.requestResponse = {
results: {
metricFindQuery: {
tables: [
{
rows: [
[
'arn:aws:ec2:us-east-1:123456789012:instance/i-12345678901234567',
'arn:aws:ec2:us-east-1:123456789012:instance/i-76543210987654321',
],
],
},
],
},
},
};
});
it('should call __ListMetrics and return result', () => {
expect(scenario.result[0].text).toContain('arn:aws:ec2:us-east-1:123456789012:instance/i-12345678901234567');
expect(scenario.request.queries[0].type).toBe('metricFindQuery');
expect(scenario.request.queries[0].subtype).toBe('resource_arns');
});
});
it('should caclculate the correct period', () => {
const hourSec = 60 * 60;
const daySec = hourSec * 24;
const start = 1483196400 * 1000;
const 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 (const t of testData) {
const target = t[0];
const options = t[1];
const now = new Date(options.range.from.valueOf() + t[2] * 1000);
const expected = t[3];
const actual = ctx.ds.getPeriod(target, options, now);
expect(actual).toBe(expected);
}
});
});