mirror of
https://github.com/grafana/grafana.git
synced 2025-02-20 11:48:34 -06:00
* Explore: Add interpolateVariablesInQueries to opentsdb datasource * Explore: Add interpolateVariablesInQueries to cloudwatch datasource * Explore: Add interpolateVariablesInQueries to CloudMonitoring datasource * Explore: Add interpolateVariablesInQueries to Azure datasource * Explore: Add dimensions to interpolateMetricsQueryVariables in cloudwatch datasource
1223 lines
42 KiB
TypeScript
1223 lines
42 KiB
TypeScript
import '../datasource';
|
|
import { CloudWatchDatasource, MAX_ATTEMPTS } from '../datasource';
|
|
import * as redux from 'app/store/store';
|
|
import {
|
|
DataFrame,
|
|
DataQueryResponse,
|
|
DataSourceInstanceSettings,
|
|
dateMath,
|
|
getFrameDisplayName,
|
|
DataQueryErrorType,
|
|
} from '@grafana/data';
|
|
import { TemplateSrv } from 'app/features/templating/template_srv';
|
|
import {
|
|
CloudWatchLogsQueryStatus,
|
|
CloudWatchMetricsQuery,
|
|
CloudWatchQuery,
|
|
LogAction,
|
|
CloudWatchLogsQuery,
|
|
} from '../types';
|
|
import { backendSrv } from 'app/core/services/backend_srv'; // will use the version in __mocks__
|
|
import { TimeSrv } from 'app/features/dashboard/services/TimeSrv';
|
|
import { convertToStoreState } from '../../../../../test/helpers/convertToStoreState';
|
|
import { getTemplateSrvDependencies } from 'test/helpers/getTemplateSrvDependencies';
|
|
import { of, interval } from 'rxjs';
|
|
import { CustomVariableModel, VariableHide } from '../../../../features/variables/types';
|
|
import { TimeSrvStub } from '../../../../../test/specs/helpers';
|
|
|
|
import * as rxjsUtils from '../utils/rxjs/increasingInterval';
|
|
|
|
jest.mock('rxjs/operators', () => {
|
|
const operators = jest.requireActual('rxjs/operators');
|
|
operators.delay = jest.fn(() => (s: any) => s);
|
|
return operators;
|
|
});
|
|
|
|
jest.mock('@grafana/runtime', () => ({
|
|
...((jest.requireActual('@grafana/runtime') as unknown) as object),
|
|
getBackendSrv: () => backendSrv,
|
|
}));
|
|
|
|
describe('CloudWatchDatasource', () => {
|
|
const datasourceRequestMock = jest.spyOn(backendSrv, 'datasourceRequest');
|
|
|
|
const instanceSettings = {
|
|
jsonData: { defaultRegion: 'us-east-1' },
|
|
name: 'TestDatasource',
|
|
} as DataSourceInstanceSettings;
|
|
|
|
let templateSrv = new TemplateSrv();
|
|
const start = 1483196400 * 1000;
|
|
const defaultTimeRange = { from: new Date(start), to: new Date(start + 3600 * 1000) };
|
|
|
|
const timeSrv = {
|
|
time: { from: '2016-12-31 15:00:00Z', to: '2016-12-31 16:00:00Z' },
|
|
timeRange: () => {
|
|
return {
|
|
from: dateMath.parse(timeSrv.time.from, false),
|
|
to: dateMath.parse(timeSrv.time.to, true),
|
|
};
|
|
},
|
|
} as TimeSrv;
|
|
|
|
const ctx = {
|
|
templateSrv,
|
|
} as any;
|
|
|
|
beforeEach(() => {
|
|
ctx.ds = new CloudWatchDatasource(instanceSettings, templateSrv, timeSrv);
|
|
jest.clearAllMocks();
|
|
});
|
|
|
|
describe('When getting log groups', () => {
|
|
beforeEach(() => {
|
|
datasourceRequestMock.mockImplementation(() =>
|
|
Promise.resolve({
|
|
data: {
|
|
results: {
|
|
A: {
|
|
dataframes: [
|
|
'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',
|
|
],
|
|
refId: 'A',
|
|
},
|
|
},
|
|
},
|
|
})
|
|
);
|
|
});
|
|
|
|
it('should return log groups as an array of strings', async () => {
|
|
const logGroups = await ctx.ds.describeLogGroups();
|
|
const expectedLogGroups = [
|
|
'/aws/containerinsights/dev303-workshop/application',
|
|
'/aws/containerinsights/dev303-workshop/dataplane',
|
|
'/aws/containerinsights/dev303-workshop/flowlogs',
|
|
'/aws/containerinsights/dev303-workshop/host',
|
|
'/aws/containerinsights/dev303-workshop/performance',
|
|
'/aws/containerinsights/dev303-workshop/prometheus',
|
|
'/aws/containerinsights/ecommerce-sockshop/application',
|
|
'/aws/containerinsights/ecommerce-sockshop/dataplane',
|
|
'/aws/containerinsights/ecommerce-sockshop/host',
|
|
'/aws/containerinsights/ecommerce-sockshop/performance',
|
|
'/aws/containerinsights/watchdemo-perf/application',
|
|
'/aws/containerinsights/watchdemo-perf/dataplane',
|
|
'/aws/containerinsights/watchdemo-perf/host',
|
|
'/aws/containerinsights/watchdemo-perf/performance',
|
|
'/aws/containerinsights/watchdemo-perf/prometheus',
|
|
'/aws/containerinsights/watchdemo-prod-us-east-1/performance',
|
|
'/aws/containerinsights/watchdemo-staging/application',
|
|
'/aws/containerinsights/watchdemo-staging/dataplane',
|
|
'/aws/containerinsights/watchdemo-staging/host',
|
|
'/aws/containerinsights/watchdemo-staging/performance',
|
|
'/aws/ecs/containerinsights/bugbash-ec2/performance',
|
|
'/aws/ecs/containerinsights/ecs-demoworkshop/performance',
|
|
'/aws/ecs/containerinsights/ecs-workshop-dev/performance',
|
|
'/aws/eks/dev303-workshop/cluster',
|
|
'/aws/events/cloudtrail',
|
|
'/aws/events/ecs',
|
|
'/aws/lambda/cwsyn-mycanary-fac97ded-f134-499a-9d71-4c3be1f63182',
|
|
'/aws/lambda/cwsyn-watch-linkchecks-ef7ef273-5da2-4663-af54-d2f52d55b060',
|
|
'/ecs/ecs-cwagent-daemon-service',
|
|
'/ecs/ecs-demo-limitTask',
|
|
'CloudTrail/DefaultLogGroup',
|
|
'container-insights-prometheus-beta',
|
|
'container-insights-prometheus-demo',
|
|
];
|
|
expect(logGroups).toEqual(expectedLogGroups);
|
|
});
|
|
});
|
|
|
|
describe('When performing CloudWatch logs query', () => {
|
|
beforeEach(() => {
|
|
jest.spyOn(rxjsUtils, 'increasingInterval').mockImplementation(() => interval(100));
|
|
});
|
|
|
|
it('should add data links to response', () => {
|
|
const mockResponse: DataQueryResponse = {
|
|
data: [
|
|
{
|
|
fields: [
|
|
{
|
|
config: {
|
|
links: [],
|
|
},
|
|
},
|
|
],
|
|
refId: 'A',
|
|
},
|
|
],
|
|
};
|
|
|
|
const mockOptions = {
|
|
targets: [
|
|
{
|
|
refId: 'A',
|
|
expression: 'stats count(@message) by bin(1h)',
|
|
logGroupNames: ['fake-log-group-one', 'fake-log-group-two'],
|
|
region: 'default',
|
|
},
|
|
],
|
|
};
|
|
|
|
const saturatedResponse = ctx.ds.addDataLinksToLogsResponse(mockResponse, mockOptions);
|
|
expect(saturatedResponse).toMatchObject({
|
|
data: [
|
|
{
|
|
fields: [
|
|
{
|
|
config: {
|
|
links: [
|
|
{
|
|
url:
|
|
"https://us-east-1.console.aws.amazon.com/cloudwatch/home?region=us-east-1#logs-insights:queryDetail=~(end~'2016-12-31T16*3a00*3a00.000Z~start~'2016-12-31T15*3a00*3a00.000Z~timeType~'ABSOLUTE~tz~'UTC~editorString~'stats*20count*28*40message*29*20by*20bin*281h*29~isLiveTail~false~source~(~'fake-log-group-one~'fake-log-group-two))",
|
|
title: 'View in CloudWatch console',
|
|
targetBlank: true,
|
|
},
|
|
],
|
|
},
|
|
},
|
|
],
|
|
refId: 'A',
|
|
},
|
|
],
|
|
});
|
|
});
|
|
|
|
it('should stop querying when no more data received a number of times in a row', async () => {
|
|
const fakeFrames = genMockFrames(20);
|
|
const initialRecordsMatched = fakeFrames[0].meta!.stats!.find(stat => stat.displayName === 'Records matched')!
|
|
.value!;
|
|
for (let i = 1; i < 4; i++) {
|
|
fakeFrames[i].meta!.stats = [
|
|
{
|
|
displayName: 'Records matched',
|
|
value: initialRecordsMatched,
|
|
},
|
|
];
|
|
}
|
|
|
|
const finalRecordsMatched = fakeFrames[9].meta!.stats!.find(stat => stat.displayName === 'Records matched')!
|
|
.value!;
|
|
for (let i = 10; i < fakeFrames.length; i++) {
|
|
fakeFrames[i].meta!.stats = [
|
|
{
|
|
displayName: 'Records matched',
|
|
value: finalRecordsMatched,
|
|
},
|
|
];
|
|
}
|
|
|
|
let i = 0;
|
|
jest.spyOn(ctx.ds, 'makeLogActionRequest').mockImplementation((subtype: LogAction) => {
|
|
if (subtype === 'GetQueryResults') {
|
|
const mockObservable = of([fakeFrames[i]]);
|
|
i++;
|
|
return mockObservable;
|
|
} else {
|
|
return of([]);
|
|
}
|
|
});
|
|
|
|
const myResponse = await ctx.ds.logsQuery([{ queryId: 'fake-query-id', region: 'default' }]).toPromise();
|
|
|
|
const expectedData = [
|
|
{
|
|
...fakeFrames[14],
|
|
meta: {
|
|
custom: {
|
|
Status: 'Cancelled',
|
|
},
|
|
stats: fakeFrames[14].meta!.stats,
|
|
},
|
|
},
|
|
];
|
|
|
|
expect(myResponse).toEqual({
|
|
data: expectedData,
|
|
key: 'test-key',
|
|
state: 'Done',
|
|
error: {
|
|
type: DataQueryErrorType.Timeout,
|
|
message: `error: query timed out after ${MAX_ATTEMPTS} attempts`,
|
|
},
|
|
});
|
|
expect(i).toBe(15);
|
|
});
|
|
|
|
it('should continue querying as long as new data is being received', async () => {
|
|
const fakeFrames = genMockFrames(15);
|
|
|
|
let i = 0;
|
|
jest.spyOn(ctx.ds, 'makeLogActionRequest').mockImplementation((subtype: LogAction) => {
|
|
if (subtype === 'GetQueryResults') {
|
|
const mockObservable = of([fakeFrames[i]]);
|
|
i++;
|
|
return mockObservable;
|
|
} else {
|
|
return of([]);
|
|
}
|
|
});
|
|
|
|
const myResponse = await ctx.ds.logsQuery([{ queryId: 'fake-query-id', region: 'default' }]).toPromise();
|
|
expect(myResponse).toEqual({
|
|
data: [fakeFrames[fakeFrames.length - 1]],
|
|
key: 'test-key',
|
|
state: 'Done',
|
|
});
|
|
expect(i).toBe(15);
|
|
});
|
|
|
|
it('should stop querying when results come back with status "Complete"', async () => {
|
|
const fakeFrames = genMockFrames(3);
|
|
let i = 0;
|
|
jest.spyOn(ctx.ds, 'makeLogActionRequest').mockImplementation((subtype: LogAction) => {
|
|
if (subtype === 'GetQueryResults') {
|
|
const mockObservable = of([fakeFrames[i]]);
|
|
i++;
|
|
return mockObservable;
|
|
} else {
|
|
return of([]);
|
|
}
|
|
});
|
|
|
|
const myResponse = await ctx.ds.logsQuery([{ queryId: 'fake-query-id', region: 'default' }]).toPromise();
|
|
|
|
expect(myResponse).toEqual({
|
|
data: [fakeFrames[2]],
|
|
key: 'test-key',
|
|
state: 'Done',
|
|
});
|
|
expect(i).toBe(3);
|
|
});
|
|
|
|
it('should call the replace method on provided log groups', () => {
|
|
const replaceSpy = jest.spyOn(ctx.ds, 'replace').mockImplementation((target: string) => target);
|
|
ctx.ds.makeLogActionRequest('StartQuery', [
|
|
{
|
|
queryString: 'test query string',
|
|
region: 'default',
|
|
logGroupNames: ['log-group', '${my_var}Variable', 'Cool${other_var}'],
|
|
},
|
|
]);
|
|
|
|
expect(replaceSpy).toBeCalledWith('log-group', undefined, true, 'log groups');
|
|
expect(replaceSpy).toBeCalledWith('${my_var}Variable', undefined, true, 'log groups');
|
|
expect(replaceSpy).toBeCalledWith('Cool${other_var}', undefined, true, 'log groups');
|
|
});
|
|
});
|
|
|
|
describe('When performing CloudWatch metrics query', () => {
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
type: 'Metrics',
|
|
expression: '',
|
|
refId: 'A',
|
|
region: 'us-east-1',
|
|
namespace: 'AWS/EC2',
|
|
metricName: 'CPUUtilization',
|
|
dimensions: {
|
|
InstanceId: 'i-12345678',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '300',
|
|
},
|
|
],
|
|
};
|
|
|
|
const response: any = {
|
|
timings: [null],
|
|
results: {
|
|
A: {
|
|
type: 'Metrics',
|
|
error: '',
|
|
refId: 'A',
|
|
meta: { gmdMeta: [] },
|
|
series: [
|
|
{
|
|
name: 'CPUUtilization_Average',
|
|
points: [
|
|
[1, 1483228800000],
|
|
[2, 1483229100000],
|
|
[5, 1483229700000],
|
|
],
|
|
tags: {
|
|
InstanceId: 'i-12345678',
|
|
},
|
|
},
|
|
],
|
|
},
|
|
},
|
|
};
|
|
|
|
beforeEach(() => {
|
|
datasourceRequestMock.mockImplementation(() => {
|
|
return Promise.resolve({ data: response });
|
|
});
|
|
});
|
|
|
|
it('should generate the correct query', async () => {
|
|
await ctx.ds.query(query).toPromise();
|
|
expect(datasourceRequestMock.mock.calls[0][0].data.queries).toMatchObject(
|
|
expect.arrayContaining([
|
|
expect.objectContaining({
|
|
namespace: query.targets[0].namespace,
|
|
metricName: query.targets[0].metricName,
|
|
dimensions: { InstanceId: ['i-12345678'] },
|
|
statistics: query.targets[0].statistics,
|
|
period: query.targets[0].period,
|
|
}),
|
|
])
|
|
);
|
|
});
|
|
|
|
it('should generate the correct query with interval variable', async () => {
|
|
const period: CustomVariableModel = {
|
|
id: 'period',
|
|
name: 'period',
|
|
index: 0,
|
|
current: { value: '10m', text: '10m', selected: true },
|
|
options: [{ value: '10m', text: '10m', selected: true }],
|
|
multi: false,
|
|
includeAll: false,
|
|
query: '',
|
|
hide: VariableHide.dontHide,
|
|
type: 'custom',
|
|
label: null,
|
|
skipUrlSync: false,
|
|
global: false,
|
|
};
|
|
templateSrv.init([period]);
|
|
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
type: 'Metrics',
|
|
refId: 'A',
|
|
region: 'us-east-1',
|
|
namespace: 'AWS/EC2',
|
|
metricName: 'CPUUtilization',
|
|
dimensions: {
|
|
InstanceId: 'i-12345678',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '[[period]]',
|
|
},
|
|
],
|
|
};
|
|
|
|
await ctx.ds.query(query).toPromise();
|
|
expect(datasourceRequestMock.mock.calls[0][0].data.queries[0].period).toEqual('600');
|
|
});
|
|
|
|
it.each(['pNN.NN', 'p9', 'p99.', 'p99.999'])('should cancel query for invalid extended statistics (%s)', stat => {
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
type: 'Metrics',
|
|
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)
|
|
.toPromise()
|
|
.then((result: any) => {
|
|
expect(getFrameDisplayName(result.data[0])).toBe(response.results.A.series[0].name);
|
|
expect(result.data[0].fields[1].values.buffer[0]).toBe(response.results.A.series[0].points[0][0]);
|
|
done();
|
|
});
|
|
});
|
|
|
|
describe('a correct cloudwatch url should be built for each time series in the response', () => {
|
|
beforeEach(() => {
|
|
datasourceRequestMock.mockImplementation(() => {
|
|
return Promise.resolve({ data: response });
|
|
});
|
|
});
|
|
|
|
it('should be built correctly if theres one search expressions returned in meta for a given query row', done => {
|
|
response.results['A'].meta.gmdMeta = [{ Expression: `REMOVE_EMPTY(SEARCH('some expression'))`, Period: '300' }];
|
|
ctx.ds
|
|
.query(query)
|
|
.toPromise()
|
|
.then((result: any) => {
|
|
expect(getFrameDisplayName(result.data[0])).toBe(response.results.A.series[0].name);
|
|
expect(result.data[0].fields[1].config.links[0].title).toBe('View in CloudWatch console');
|
|
expect(decodeURIComponent(result.data[0].fields[1].config.links[0].url)).toContain(
|
|
`region=us-east-1#metricsV2:graph={"view":"timeSeries","stacked":false,"title":"A","start":"2016-12-31T15:00:00.000Z","end":"2016-12-31T16:00:00.000Z","region":"us-east-1","metrics":[{"expression":"REMOVE_EMPTY(SEARCH(\'some expression\'))"}]}`
|
|
);
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should be built correctly if theres two search expressions returned in meta for a given query row', done => {
|
|
response.results['A'].meta.gmdMeta = [
|
|
{ Expression: `REMOVE_EMPTY(SEARCH('first expression'))` },
|
|
{ Expression: `REMOVE_EMPTY(SEARCH('second expression'))` },
|
|
];
|
|
ctx.ds
|
|
.query(query)
|
|
.toPromise()
|
|
.then((result: any) => {
|
|
expect(getFrameDisplayName(result.data[0])).toBe(response.results.A.series[0].name);
|
|
expect(result.data[0].fields[1].config.links[0].title).toBe('View in CloudWatch console');
|
|
expect(decodeURIComponent(result.data[0].fields[0].config.links[0].url)).toContain(
|
|
`region=us-east-1#metricsV2:graph={"view":"timeSeries","stacked":false,"title":"A","start":"2016-12-31T15:00:00.000Z","end":"2016-12-31T16:00:00.000Z","region":"us-east-1","metrics":[{"expression":"REMOVE_EMPTY(SEARCH(\'first expression\'))"},{"expression":"REMOVE_EMPTY(SEARCH(\'second expression\'))"}]}`
|
|
);
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should be built correctly if the query is a metric stat query', done => {
|
|
response.results['A'].meta.gmdMeta = [{ Period: '300' }];
|
|
ctx.ds
|
|
.query(query)
|
|
.toPromise()
|
|
.then((result: any) => {
|
|
expect(getFrameDisplayName(result.data[0])).toBe(response.results.A.series[0].name);
|
|
expect(result.data[0].fields[1].config.links[0].title).toBe('View in CloudWatch console');
|
|
expect(decodeURIComponent(result.data[0].fields[0].config.links[0].url)).toContain(
|
|
`region=us-east-1#metricsV2:graph={\"view\":\"timeSeries\",\"stacked\":false,\"title\":\"A\",\"start\":\"2016-12-31T15:00:00.000Z\",\"end\":\"2016-12-31T16:00:00.000Z\",\"region\":\"us-east-1\",\"metrics\":[[\"AWS/EC2\",\"CPUUtilization\",\"InstanceId\",\"i-12345678\",{\"stat\":\"Average\",\"period\":\"300\"}]]}`
|
|
);
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should not be added at all if query is a math expression', done => {
|
|
query.targets[0].expression = 'a * 2';
|
|
response.results['A'].meta.searchExpressions = [];
|
|
ctx.ds
|
|
.query(query)
|
|
.toPromise()
|
|
.then((result: any) => {
|
|
expect(result.data[0].fields[1].config.links).toBeUndefined();
|
|
done();
|
|
});
|
|
});
|
|
});
|
|
|
|
describe('and throttling exception is thrown', () => {
|
|
const partialQuery = {
|
|
type: 'Metrics',
|
|
namespace: 'AWS/EC2',
|
|
metricName: 'CPUUtilization',
|
|
dimensions: {
|
|
InstanceId: 'i-12345678',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '300',
|
|
expression: '',
|
|
};
|
|
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{ ...partialQuery, refId: 'A', region: 'us-east-1' },
|
|
{ ...partialQuery, refId: 'B', region: 'us-east-2' },
|
|
{ ...partialQuery, refId: 'C', region: 'us-east-1' },
|
|
{ ...partialQuery, refId: 'D', region: 'us-east-2' },
|
|
{ ...partialQuery, refId: 'E', region: 'eu-north-1' },
|
|
],
|
|
};
|
|
|
|
const backendErrorResponse = {
|
|
data: {
|
|
message: 'Throttling: exception',
|
|
results: {
|
|
A: {
|
|
error: 'Throttling: exception',
|
|
refId: 'A',
|
|
meta: {},
|
|
},
|
|
B: {
|
|
error: 'Throttling: exception',
|
|
refId: 'B',
|
|
meta: {},
|
|
},
|
|
C: {
|
|
error: 'Throttling: exception',
|
|
refId: 'C',
|
|
meta: {},
|
|
},
|
|
D: {
|
|
error: 'Throttling: exception',
|
|
refId: 'D',
|
|
meta: {},
|
|
},
|
|
E: {
|
|
error: 'Throttling: exception',
|
|
refId: 'E',
|
|
meta: {},
|
|
},
|
|
},
|
|
},
|
|
};
|
|
|
|
beforeEach(() => {
|
|
redux.setStore({
|
|
dispatch: jest.fn(),
|
|
} as any);
|
|
|
|
datasourceRequestMock.mockImplementation(() => {
|
|
return Promise.reject(backendErrorResponse);
|
|
});
|
|
});
|
|
|
|
it('should display one alert error message per region+datasource combination', done => {
|
|
const memoizedDebounceSpy = jest.spyOn(ctx.ds, 'debouncedAlert');
|
|
ctx.ds
|
|
.query(query)
|
|
.toPromise()
|
|
.catch(() => {
|
|
expect(memoizedDebounceSpy).toHaveBeenCalledWith('TestDatasource', 'us-east-1');
|
|
expect(memoizedDebounceSpy).toHaveBeenCalledWith('TestDatasource', 'us-east-2');
|
|
expect(memoizedDebounceSpy).toHaveBeenCalledWith('TestDatasource', 'eu-north-1');
|
|
expect(memoizedDebounceSpy).toBeCalledTimes(3);
|
|
done();
|
|
});
|
|
});
|
|
});
|
|
|
|
describe('when regions query is used', () => {
|
|
beforeEach(() => {
|
|
datasourceRequestMock.mockImplementation(() => {
|
|
return Promise.resolve({});
|
|
});
|
|
ctx.ds = new CloudWatchDatasource(instanceSettings, templateSrv, timeSrv);
|
|
ctx.ds.doMetricQueryRequest = jest.fn(() => []);
|
|
});
|
|
describe('and region param is left out', () => {
|
|
it('should use the default region', done => {
|
|
ctx.ds.metricFindQuery('metrics(testNamespace)').then(() => {
|
|
expect(ctx.ds.doMetricQueryRequest).toHaveBeenCalledWith('metrics', {
|
|
namespace: 'testNamespace',
|
|
region: instanceSettings.jsonData.defaultRegion,
|
|
});
|
|
done();
|
|
});
|
|
});
|
|
});
|
|
|
|
describe('and region param is defined by user', () => {
|
|
it('should use the user defined region', done => {
|
|
ctx.ds.metricFindQuery('metrics(testNamespace2, custom-region)').then(() => {
|
|
expect(ctx.ds.doMetricQueryRequest).toHaveBeenCalledWith('metrics', {
|
|
namespace: 'testNamespace2',
|
|
region: 'custom-region',
|
|
});
|
|
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: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
type: 'Metrics',
|
|
refId: 'A',
|
|
region: 'default',
|
|
namespace: 'AWS/EC2',
|
|
metricName: 'CPUUtilization',
|
|
dimensions: {
|
|
InstanceId: 'i-12345678',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '300s',
|
|
},
|
|
],
|
|
};
|
|
|
|
ctx.ds
|
|
.query(query)
|
|
.toPromise()
|
|
.then((result: any) => {
|
|
expect(requestParams.queries[0].region).toBe(instanceSettings.jsonData.defaultRegion);
|
|
done();
|
|
});
|
|
});
|
|
});
|
|
|
|
describe('When interpolating variables', () => {
|
|
beforeEach(() => {
|
|
jest.clearAllMocks();
|
|
|
|
ctx.mockedTemplateSrv = {
|
|
replace: jest.fn(),
|
|
};
|
|
|
|
ctx.ds = new CloudWatchDatasource(
|
|
instanceSettings,
|
|
ctx.mockedTemplateSrv,
|
|
(new TimeSrvStub() as unknown) as TimeSrv
|
|
);
|
|
});
|
|
|
|
it('should return an empty array if no queries are provided', () => {
|
|
expect(ctx.ds.interpolateVariablesInQueries([], {})).toHaveLength(0);
|
|
});
|
|
|
|
it('should replace correct variables in CloudWatchLogsQuery', () => {
|
|
const variableName = 'someVar';
|
|
const logQuery: CloudWatchLogsQuery = {
|
|
id: 'someId',
|
|
refId: 'someRefId',
|
|
queryMode: 'Logs',
|
|
expression: `$${variableName}`,
|
|
region: `$${variableName}`,
|
|
};
|
|
|
|
ctx.ds.interpolateVariablesInQueries([logQuery], {});
|
|
|
|
// We interpolate `expression` and `region` in CloudWatchLogsQuery
|
|
expect(ctx.mockedTemplateSrv.replace).toHaveBeenCalledWith(`$${variableName}`, {});
|
|
expect(ctx.mockedTemplateSrv.replace).toHaveBeenCalledTimes(2);
|
|
});
|
|
|
|
it('should replace correct variables in CloudWatchMetricsQuery', () => {
|
|
const variableName = 'someVar';
|
|
const logQuery: CloudWatchMetricsQuery = {
|
|
id: 'someId',
|
|
refId: 'someRefId',
|
|
queryMode: 'Metrics',
|
|
expression: `$${variableName}`,
|
|
region: `$${variableName}`,
|
|
period: `$${variableName}`,
|
|
alias: `$${variableName}`,
|
|
metricName: `$${variableName}`,
|
|
namespace: `$${variableName}`,
|
|
dimensions: {
|
|
[`$${variableName}`]: `$${variableName}`,
|
|
},
|
|
matchExact: false,
|
|
statistics: [],
|
|
};
|
|
|
|
ctx.ds.interpolateVariablesInQueries([logQuery], {});
|
|
|
|
// We interpolate `expression`, `region`, `period`, `alias`, `metricName`, `nameSpace` and `dimensions` in CloudWatchMetricsQuery
|
|
expect(ctx.mockedTemplateSrv.replace).toHaveBeenCalledWith(`$${variableName}`, {});
|
|
expect(ctx.mockedTemplateSrv.replace).toHaveBeenCalledTimes(8);
|
|
});
|
|
});
|
|
|
|
describe('When performing CloudWatch query for extended statistics', () => {
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
type: 'Metrics',
|
|
refId: 'A',
|
|
region: 'us-east-1',
|
|
namespace: 'AWS/ApplicationELB',
|
|
metricName: 'TargetResponseTime',
|
|
dimensions: {
|
|
LoadBalancer: 'lb',
|
|
TargetGroup: 'tg',
|
|
},
|
|
statistics: ['p90.00'],
|
|
period: '300s',
|
|
},
|
|
],
|
|
};
|
|
|
|
const response: any = {
|
|
timings: [null],
|
|
results: {
|
|
A: {
|
|
error: '',
|
|
refId: 'A',
|
|
meta: {
|
|
gmdMeta: [
|
|
{
|
|
Period: 300,
|
|
},
|
|
],
|
|
},
|
|
series: [
|
|
{
|
|
name: 'TargetResponseTime_p90.00',
|
|
points: [
|
|
[1, 1483228800000],
|
|
[2, 1483229100000],
|
|
[5, 1483229700000],
|
|
],
|
|
tags: {
|
|
LoadBalancer: 'lb',
|
|
TargetGroup: 'tg',
|
|
},
|
|
},
|
|
],
|
|
},
|
|
},
|
|
};
|
|
|
|
beforeEach(() => {
|
|
datasourceRequestMock.mockImplementation(params => {
|
|
return Promise.resolve({ data: response });
|
|
});
|
|
});
|
|
|
|
it('should return series list', done => {
|
|
ctx.ds
|
|
.query(query)
|
|
.toPromise()
|
|
.then((result: any) => {
|
|
expect(getFrameDisplayName(result.data[0])).toBe(response.results.A.series[0].name);
|
|
expect(result.data[0].fields[1].values.buffer[0]).toBe(response.results.A.series[0].points[0][0]);
|
|
done();
|
|
});
|
|
});
|
|
});
|
|
|
|
describe('When performing CloudWatch query with template variables', () => {
|
|
let requestParams: { queries: CloudWatchMetricsQuery[] };
|
|
beforeEach(() => {
|
|
const var1: CustomVariableModel = {
|
|
id: 'var1',
|
|
name: 'var1',
|
|
index: 0,
|
|
current: { value: 'var1-foo', text: 'var1-foo', selected: true },
|
|
options: [{ value: 'var1-foo', text: 'var1-foo', selected: true }],
|
|
multi: false,
|
|
includeAll: false,
|
|
query: '',
|
|
hide: VariableHide.dontHide,
|
|
type: 'custom',
|
|
label: null,
|
|
skipUrlSync: false,
|
|
global: false,
|
|
};
|
|
const var2: CustomVariableModel = {
|
|
id: 'var2',
|
|
name: 'var2',
|
|
index: 1,
|
|
current: { value: 'var2-foo', text: 'var2-foo', selected: true },
|
|
options: [{ value: 'var2-foo', text: 'var2-foo', selected: true }],
|
|
multi: false,
|
|
includeAll: false,
|
|
query: '',
|
|
hide: VariableHide.dontHide,
|
|
type: 'custom',
|
|
label: null,
|
|
skipUrlSync: false,
|
|
global: false,
|
|
};
|
|
const var3: CustomVariableModel = {
|
|
id: 'var3',
|
|
name: 'var3',
|
|
index: 2,
|
|
current: { value: ['var3-foo', 'var3-baz'], text: 'var3-foo + var3-baz', selected: true },
|
|
options: [
|
|
{ selected: true, value: 'var3-foo', text: 'var3-foo' },
|
|
{ selected: false, value: 'var3-bar', text: 'var3-bar' },
|
|
{ selected: true, value: 'var3-baz', text: 'var3-baz' },
|
|
],
|
|
multi: true,
|
|
includeAll: false,
|
|
query: '',
|
|
hide: VariableHide.dontHide,
|
|
type: 'custom',
|
|
label: null,
|
|
skipUrlSync: false,
|
|
global: false,
|
|
};
|
|
const var4: CustomVariableModel = {
|
|
id: 'var4',
|
|
name: 'var4',
|
|
index: 3,
|
|
options: [
|
|
{ selected: true, value: 'var4-foo', text: 'var4-foo' },
|
|
{ selected: false, value: 'var4-bar', text: 'var4-bar' },
|
|
{ selected: true, value: 'var4-baz', text: 'var4-baz' },
|
|
],
|
|
current: { value: ['var4-foo', 'var4-baz'], text: 'var4-foo + var4-baz', selected: true },
|
|
multi: true,
|
|
includeAll: false,
|
|
query: '',
|
|
hide: VariableHide.dontHide,
|
|
type: 'custom',
|
|
label: null,
|
|
skipUrlSync: false,
|
|
global: false,
|
|
};
|
|
const variables = [var1, var2, var3, var4];
|
|
const state = convertToStoreState(variables);
|
|
const _templateSrv = new TemplateSrv(getTemplateSrvDependencies(state));
|
|
_templateSrv.init(variables);
|
|
ctx.ds = new CloudWatchDatasource(instanceSettings, _templateSrv, timeSrv);
|
|
|
|
datasourceRequestMock.mockImplementation(params => {
|
|
requestParams = params.data;
|
|
return Promise.resolve({ data: {} });
|
|
});
|
|
});
|
|
|
|
it('should generate the correct query for single template variable', done => {
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
type: 'Metrics',
|
|
refId: 'A',
|
|
region: 'us-east-1',
|
|
namespace: 'TestNamespace',
|
|
metricName: 'TestMetricName',
|
|
dimensions: {
|
|
dim2: '[[var2]]',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '300s',
|
|
},
|
|
],
|
|
};
|
|
|
|
ctx.ds
|
|
.query(query)
|
|
.toPromise()
|
|
.then(() => {
|
|
expect(requestParams.queries[0].dimensions['dim2']).toStrictEqual(['var2-foo']);
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should generate the correct query in the case of one multilple template variables', done => {
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
type: 'Metrics',
|
|
refId: 'A',
|
|
region: 'us-east-1',
|
|
namespace: 'TestNamespace',
|
|
metricName: 'TestMetricName',
|
|
dimensions: {
|
|
dim1: '[[var1]]',
|
|
dim2: '[[var2]]',
|
|
dim3: '[[var3]]',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '300s',
|
|
},
|
|
],
|
|
scopedVars: {
|
|
var1: { selected: true, value: 'var1-foo' },
|
|
var2: { selected: true, value: 'var2-foo' },
|
|
},
|
|
};
|
|
|
|
ctx.ds
|
|
.query(query)
|
|
.toPromise()
|
|
.then(() => {
|
|
expect(requestParams.queries[0].dimensions['dim1']).toStrictEqual(['var1-foo']);
|
|
expect(requestParams.queries[0].dimensions['dim2']).toStrictEqual(['var2-foo']);
|
|
expect(requestParams.queries[0].dimensions['dim3']).toStrictEqual(['var3-foo', 'var3-baz']);
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should generate the correct query in the case of multilple multi template variables', done => {
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
type: 'Metrics',
|
|
refId: 'A',
|
|
region: 'us-east-1',
|
|
namespace: 'TestNamespace',
|
|
metricName: 'TestMetricName',
|
|
dimensions: {
|
|
dim1: '[[var1]]',
|
|
dim3: '[[var3]]',
|
|
dim4: '[[var4]]',
|
|
},
|
|
statistics: ['Average'],
|
|
period: '300s',
|
|
},
|
|
],
|
|
};
|
|
|
|
ctx.ds
|
|
.query(query)
|
|
.toPromise()
|
|
.then(() => {
|
|
expect(requestParams.queries[0].dimensions['dim1']).toStrictEqual(['var1-foo']);
|
|
expect(requestParams.queries[0].dimensions['dim3']).toStrictEqual(['var3-foo', 'var3-baz']);
|
|
expect(requestParams.queries[0].dimensions['dim4']).toStrictEqual(['var4-foo', 'var4-baz']);
|
|
done();
|
|
});
|
|
});
|
|
|
|
it('should generate the correct query for multilple template variables, lack scopedVars', done => {
|
|
const query = {
|
|
range: defaultTimeRange,
|
|
rangeRaw: { from: 1483228800, to: 1483232400 },
|
|
targets: [
|
|
{
|
|
type: 'Metrics',
|
|
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)
|
|
.toPromise()
|
|
.then(() => {
|
|
expect(requestParams.queries[0].dimensions['dim1']).toStrictEqual(['var1-foo']);
|
|
expect(requestParams.queries[0].dimensions['dim2']).toStrictEqual(['var2-foo']);
|
|
expect(requestParams.queries[0].dimensions['dim3']).toStrictEqual(['var3-foo', 'var3-baz']);
|
|
done();
|
|
});
|
|
});
|
|
});
|
|
|
|
function describeMetricFindQuery(query: any, func: any) {
|
|
describe('metricFindQuery ' + query, () => {
|
|
const scenario: any = {};
|
|
scenario.setup = async (setupCallback: any) => {
|
|
beforeEach(async () => {
|
|
await setupCallback();
|
|
datasourceRequestMock.mockImplementation(args => {
|
|
scenario.request = args.data;
|
|
return Promise.resolve({ data: scenario.requestResponse });
|
|
});
|
|
ctx.ds.metricFindQuery(query).then((args: any) => {
|
|
scenario.result = args;
|
|
});
|
|
});
|
|
};
|
|
|
|
func(scenario);
|
|
});
|
|
}
|
|
|
|
describeMetricFindQuery('regions()', async (scenario: any) => {
|
|
await 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()', async (scenario: any) => {
|
|
await 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, us-east-2)', async (scenario: any) => {
|
|
await 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)', async (scenario: any) => {
|
|
await 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)', async (scenario: any) => {
|
|
await 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)', async (scenario: any) => {
|
|
await 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"]})',
|
|
async (scenario: any) => {
|
|
await 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');
|
|
});
|
|
}
|
|
);
|
|
});
|
|
|
|
function genMockFrames(numResponses: number): DataFrame[] {
|
|
const recordIncrement = 50;
|
|
const mockFrames: DataFrame[] = [];
|
|
|
|
for (let i = 0; i < numResponses; i++) {
|
|
mockFrames.push({
|
|
fields: [],
|
|
meta: {
|
|
custom: {
|
|
Status: i === numResponses - 1 ? CloudWatchLogsQueryStatus.Complete : CloudWatchLogsQueryStatus.Running,
|
|
},
|
|
stats: [
|
|
{
|
|
displayName: 'Records matched',
|
|
value: (i + 1) * recordIncrement,
|
|
},
|
|
],
|
|
},
|
|
refId: 'A',
|
|
length: 0,
|
|
});
|
|
}
|
|
|
|
return mockFrames;
|
|
}
|