Commit e68e93f5 by Ivana Huckova Committed by GitHub

Chore: Move Prometheus datasorce tests from specs folder and merge duplicated test files (#20755)

parent 87d19787
import { addLabelToQuery, addLabelToSelector, keepSelectorFilters } from '../add_label_to_query'; import { addLabelToQuery, addLabelToSelector, keepSelectorFilters } from './add_label_to_query';
describe('addLabelToQuery()', () => { describe('addLabelToQuery()', () => {
it('should add label to simple query', () => { it('should add label to simple query', () => {
......
import { expandRecordingRules, parseSelector } from '../language_utils'; import { expandRecordingRules, parseSelector } from './language_utils';
describe('parseSelector()', () => { describe('parseSelector()', () => {
let parsed; let parsed;
......
import { PrometheusDatasource } from '../datasource'; import { PrometheusDatasource } from './datasource';
import PrometheusMetricFindQuery from '../metric_find_query'; import PrometheusMetricFindQuery from './metric_find_query';
import { toUtc, DataSourceInstanceSettings } from '@grafana/data'; import { toUtc, DataSourceInstanceSettings } from '@grafana/data';
import { PromOptions } from '../types'; import { PromOptions } from './types';
import templateSrv from 'app/features/templating/template_srv'; import templateSrv from 'app/features/templating/template_srv';
import { getTimeSrv, TimeSrv } from 'app/features/dashboard/services/TimeSrv'; import { getTimeSrv, TimeSrv } from 'app/features/dashboard/services/TimeSrv';
......
import { plugin as PrometheusDatasourcePlugin } from '../module'; import { plugin as PrometheusDatasourcePlugin } from './module';
describe('module', () => { describe('module', () => {
it('should have metrics query field in panels and Explore', () => { it('should have metrics query field in panels and Explore', () => {
......
import { getQueryHints } from './query_hints'; import { getQueryHints, SUM_HINT_THRESHOLD_COUNT } from './query_hints';
//////
describe('getQueryHints()', () => {
it('returns no hints for no series', () => {
expect(getQueryHints('', [])).toEqual(null);
});
it('returns no hints for empty series', () => {
expect(getQueryHints('', [{ datapoints: [] }])).toEqual(null);
});
it('returns no hint for a monotonically decreasing series', () => {
const series = [
{
datapoints: [
[23, 1000],
[22, 1001],
],
},
];
const hints = getQueryHints('metric', series);
expect(hints).toEqual(null);
});
it('returns no hint for a flat series', () => {
const series = [
{
datapoints: [
[null, 1000],
[23, 1001],
[null, 1002],
[23, 1003],
],
},
];
const hints = getQueryHints('metric', series);
expect(hints).toEqual(null);
});
it('returns a rate hint for a monotonically increasing series', () => {
const series = [
{
datapoints: [
[23, 1000],
[24, 1001],
],
},
];
const hints = getQueryHints('metric', series);
expect(hints!.length).toBe(1);
expect(hints![0]).toMatchObject({
label: 'Time series is monotonically increasing.',
fix: {
action: {
type: 'ADD_RATE',
query: 'metric',
},
},
});
});
it('returns no rate hint for a monotonically increasing series that already has a rate', () => {
const series = [
{
datapoints: [
[23, 1000],
[24, 1001],
],
},
];
const hints = getQueryHints('rate(metric[1m])', series);
expect(hints).toEqual(null);
});
it('returns a rate hint w/o action for a complex monotonically increasing series', () => {
const series = [
{
datapoints: [
[23, 1000],
[24, 1001],
],
},
];
const hints = getQueryHints('sum(metric)', series);
expect(hints!.length).toBe(1);
expect(hints![0].label).toContain('rate()');
expect(hints![0].fix).toBeUndefined();
});
it('returns a rate hint for a monotonically increasing series with missing data', () => {
const series = [
{
datapoints: [
[23, 1000],
[null, 1001],
[24, 1002],
],
},
];
const hints = getQueryHints('metric', series);
expect(hints!.length).toBe(1);
expect(hints![0]).toMatchObject({
label: 'Time series is monotonically increasing.',
fix: {
action: {
type: 'ADD_RATE',
query: 'metric',
},
},
});
});
it('returns a histogram hint for a bucket series', () => {
const series = [{ datapoints: [[23, 1000]] }];
const hints = getQueryHints('metric_bucket', series);
expect(hints!.length).toBe(1);
expect(hints![0]).toMatchObject({
label: 'Time series has buckets, you probably wanted a histogram.',
fix: {
action: {
type: 'ADD_HISTOGRAM_QUANTILE',
query: 'metric_bucket',
},
},
});
});
it('returns a sum hint when many time series results are returned for a simple metric', () => {
const seriesCount = SUM_HINT_THRESHOLD_COUNT;
const series = Array.from({ length: seriesCount }, _ => ({
datapoints: [
[0, 0],
[0, 0],
],
}));
const hints = getQueryHints('metric', series);
expect(hints!.length).toBe(1);
expect(hints![0]).toMatchObject({
type: 'ADD_SUM',
label: 'Many time series results returned.',
fix: {
label: 'Consider aggregating with sum().',
action: {
type: 'ADD_SUM',
query: 'metric',
preventSubmit: true,
},
},
});
});
describe('getQueryHints', () => {
describe('when called without datapoints in series', () => { describe('when called without datapoints in series', () => {
it('then it should use rows instead and return correct hint', () => { it('then it should use rows instead and return correct hint', () => {
const series = [ const series = [
......
import { ResultTransformer } from '../result_transformer'; import { ResultTransformer } from './result_transformer';
import { DataQueryResponseData } from '@grafana/data'; import { DataQueryResponseData } from '@grafana/data';
describe('Prometheus Result Transformer', () => { describe('Prometheus Result Transformer', () => {
......
import { getQueryHints, SUM_HINT_THRESHOLD_COUNT } from '../query_hints';
describe('getQueryHints()', () => {
it('returns no hints for no series', () => {
expect(getQueryHints('', [])).toEqual(null);
});
it('returns no hints for empty series', () => {
expect(getQueryHints('', [{ datapoints: [] }])).toEqual(null);
});
it('returns no hint for a monotonically decreasing series', () => {
const series = [
{
datapoints: [
[23, 1000],
[22, 1001],
],
},
];
const hints = getQueryHints('metric', series);
expect(hints).toEqual(null);
});
it('returns no hint for a flat series', () => {
const series = [
{
datapoints: [
[null, 1000],
[23, 1001],
[null, 1002],
[23, 1003],
],
},
];
const hints = getQueryHints('metric', series);
expect(hints).toEqual(null);
});
it('returns a rate hint for a monotonically increasing series', () => {
const series = [
{
datapoints: [
[23, 1000],
[24, 1001],
],
},
];
const hints = getQueryHints('metric', series);
expect(hints!.length).toBe(1);
expect(hints![0]).toMatchObject({
label: 'Time series is monotonically increasing.',
fix: {
action: {
type: 'ADD_RATE',
query: 'metric',
},
},
});
});
it('returns no rate hint for a monotonically increasing series that already has a rate', () => {
const series = [
{
datapoints: [
[23, 1000],
[24, 1001],
],
},
];
const hints = getQueryHints('rate(metric[1m])', series);
expect(hints).toEqual(null);
});
it('returns a rate hint w/o action for a complex monotonically increasing series', () => {
const series = [
{
datapoints: [
[23, 1000],
[24, 1001],
],
},
];
const hints = getQueryHints('sum(metric)', series);
expect(hints!.length).toBe(1);
expect(hints![0].label).toContain('rate()');
expect(hints![0].fix).toBeUndefined();
});
it('returns a rate hint for a monotonically increasing series with missing data', () => {
const series = [
{
datapoints: [
[23, 1000],
[null, 1001],
[24, 1002],
],
},
];
const hints = getQueryHints('metric', series);
expect(hints!.length).toBe(1);
expect(hints![0]).toMatchObject({
label: 'Time series is monotonically increasing.',
fix: {
action: {
type: 'ADD_RATE',
query: 'metric',
},
},
});
});
it('returns a histogram hint for a bucket series', () => {
const series = [{ datapoints: [[23, 1000]] }];
const hints = getQueryHints('metric_bucket', series);
expect(hints!.length).toBe(1);
expect(hints![0]).toMatchObject({
label: 'Time series has buckets, you probably wanted a histogram.',
fix: {
action: {
type: 'ADD_HISTOGRAM_QUANTILE',
query: 'metric_bucket',
},
},
});
});
it('returns a sum hint when many time series results are returned for a simple metric', () => {
const seriesCount = SUM_HINT_THRESHOLD_COUNT;
const series = Array.from({ length: seriesCount }, _ => ({
datapoints: [
[0, 0],
[0, 0],
],
}));
const hints = getQueryHints('metric', series);
expect(hints!.length).toBe(1);
expect(hints![0]).toMatchObject({
type: 'ADD_SUM',
label: 'Many time series results returned.',
fix: {
label: 'Consider aggregating with sum().',
action: {
type: 'ADD_SUM',
query: 'metric',
preventSubmit: true,
},
},
});
});
});
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