mirror of
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1175 lines
40 KiB
TypeScript
1175 lines
40 KiB
TypeScript
import _ from 'lodash';
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import moment from 'moment';
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import q from 'q';
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import {
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alignRange,
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determineQueryHints,
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extractRuleMappingFromGroups,
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PrometheusDatasource,
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prometheusSpecialRegexEscape,
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prometheusRegularEscape,
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addLabelToQuery,
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} from '../datasource';
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jest.mock('../metric_find_query');
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describe('PrometheusDatasource', () => {
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const ctx: any = {};
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const instanceSettings = {
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url: 'proxied',
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directUrl: 'direct',
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user: 'test',
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password: 'mupp',
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jsonData: {},
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};
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ctx.backendSrvMock = {};
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ctx.templateSrvMock = {
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replace: a => a,
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};
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ctx.timeSrvMock = {
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timeRange: () => {
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return {
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from: moment(1531468681),
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to: moment(1531489712),
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};
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},
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};
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beforeEach(() => {
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ctx.ds = new PrometheusDatasource(instanceSettings, q, ctx.backendSrvMock, ctx.templateSrvMock, ctx.timeSrvMock);
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});
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describe('Datasource metadata requests', () => {
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it('should perform a GET request with the default config', () => {
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ctx.backendSrvMock.datasourceRequest = jest.fn();
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ctx.ds.metadataRequest('/foo');
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expect(ctx.backendSrvMock.datasourceRequest.mock.calls.length).toBe(1);
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expect(ctx.backendSrvMock.datasourceRequest.mock.calls[0][0].method).toBe('GET');
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});
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it('should still perform a GET request with the DS HTTP method set to POST', () => {
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ctx.backendSrvMock.datasourceRequest = jest.fn();
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const postSettings = _.cloneDeep(instanceSettings);
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postSettings.jsonData.httpMethod = 'POST';
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const ds = new PrometheusDatasource(postSettings, q, ctx.backendSrvMock, ctx.templateSrvMock, ctx.timeSrvMock);
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ds.metadataRequest('/foo');
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expect(ctx.backendSrvMock.datasourceRequest.mock.calls.length).toBe(1);
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expect(ctx.backendSrvMock.datasourceRequest.mock.calls[0][0].method).toBe('GET');
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});
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});
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describe('When performing performSuggestQuery', () => {
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it('should cache response', async () => {
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ctx.backendSrvMock.datasourceRequest.mockReturnValue(
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Promise.resolve({
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status: 'success',
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data: { data: ['value1', 'value2', 'value3'] },
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})
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);
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let results = await ctx.ds.performSuggestQuery('value', true);
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expect(results).toHaveLength(3);
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ctx.backendSrvMock.datasourceRequest.mockReset();
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results = await ctx.ds.performSuggestQuery('value', true);
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expect(results).toHaveLength(3);
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});
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});
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describe('When converting prometheus histogram to heatmap format', () => {
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beforeEach(() => {
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ctx.query = {
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range: { from: moment(1443454528000), to: moment(1443454528000) },
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targets: [{ expr: 'test{job="testjob"}', format: 'heatmap', legendFormat: '{{le}}' }],
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interval: '1s',
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};
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});
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it('should convert cumullative histogram to ordinary', () => {
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const resultMock = [
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{
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metric: { __name__: 'metric', job: 'testjob', le: '10' },
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values: [[1443454528.0, '10'], [1443454528.0, '10']],
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},
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{
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metric: { __name__: 'metric', job: 'testjob', le: '20' },
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values: [[1443454528.0, '20'], [1443454528.0, '10']],
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},
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{
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metric: { __name__: 'metric', job: 'testjob', le: '30' },
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values: [[1443454528.0, '25'], [1443454528.0, '10']],
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},
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];
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const responseMock = { data: { data: { result: resultMock } } };
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const expected = [
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{
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target: '10',
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datapoints: [[10, 1443454528000], [10, 1443454528000]],
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},
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{
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target: '20',
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datapoints: [[10, 1443454528000], [0, 1443454528000]],
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},
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{
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target: '30',
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datapoints: [[5, 1443454528000], [0, 1443454528000]],
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},
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];
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ctx.ds.performTimeSeriesQuery = jest.fn().mockReturnValue(responseMock);
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return ctx.ds.query(ctx.query).then(result => {
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const results = result.data;
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return expect(results).toMatchObject(expected);
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});
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});
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it('should sort series by label value', () => {
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const resultMock = [
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{
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metric: { __name__: 'metric', job: 'testjob', le: '2' },
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values: [[1443454528.0, '10'], [1443454528.0, '10']],
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},
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{
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metric: { __name__: 'metric', job: 'testjob', le: '4' },
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values: [[1443454528.0, '20'], [1443454528.0, '10']],
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},
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{
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metric: { __name__: 'metric', job: 'testjob', le: '+Inf' },
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values: [[1443454528.0, '25'], [1443454528.0, '10']],
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},
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{
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metric: { __name__: 'metric', job: 'testjob', le: '1' },
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values: [[1443454528.0, '25'], [1443454528.0, '10']],
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},
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];
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const responseMock = { data: { data: { result: resultMock } } };
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const expected = ['1', '2', '4', '+Inf'];
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ctx.ds.performTimeSeriesQuery = jest.fn().mockReturnValue(responseMock);
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return ctx.ds.query(ctx.query).then(result => {
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const seriesLabels = _.map(result.data, 'target');
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return expect(seriesLabels).toEqual(expected);
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});
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});
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});
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describe('alignRange', () => {
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it('does not modify already aligned intervals with perfect step', () => {
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const range = alignRange(0, 3, 3);
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expect(range.start).toEqual(0);
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expect(range.end).toEqual(3);
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});
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it('does modify end-aligned intervals to reflect number of steps possible', () => {
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const range = alignRange(1, 6, 3);
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expect(range.start).toEqual(0);
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expect(range.end).toEqual(6);
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});
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it('does align intervals that are a multiple of steps', () => {
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const range = alignRange(1, 4, 3);
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expect(range.start).toEqual(0);
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expect(range.end).toEqual(6);
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});
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it('does align intervals that are not a multiple of steps', () => {
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const range = alignRange(1, 5, 3);
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expect(range.start).toEqual(0);
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expect(range.end).toEqual(6);
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});
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});
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describe('determineQueryHints()', () => {
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it('returns no hints for no series', () => {
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expect(determineQueryHints([])).toEqual([]);
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});
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it('returns no hints for empty series', () => {
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expect(determineQueryHints([{ datapoints: [], query: '' }])).toEqual([null]);
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});
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it('returns no hint for a monotonously decreasing series', () => {
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const series = [{ datapoints: [[23, 1000], [22, 1001]], query: 'metric', responseIndex: 0 }];
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const hints = determineQueryHints(series);
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expect(hints).toEqual([null]);
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});
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it('returns a rate hint for a monotonously increasing series', () => {
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const series = [{ datapoints: [[23, 1000], [24, 1001]], query: 'metric', responseIndex: 0 }];
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const hints = determineQueryHints(series);
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expect(hints.length).toBe(1);
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expect(hints[0]).toMatchObject({
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label: 'Time series is monotonously increasing.',
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index: 0,
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fix: {
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action: {
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type: 'ADD_RATE',
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query: 'metric',
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},
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},
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});
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});
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it('returns a rate hint w/o action for a complex monotonously increasing series', () => {
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const series = [{ datapoints: [[23, 1000], [24, 1001]], query: 'sum(metric)', responseIndex: 0 }];
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const hints = determineQueryHints(series);
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expect(hints.length).toBe(1);
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expect(hints[0].label).toContain('rate()');
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expect(hints[0].fix).toBeUndefined();
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});
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it('returns a rate hint for a monotonously increasing series with missing data', () => {
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const series = [{ datapoints: [[23, 1000], [null, 1001], [24, 1002]], query: 'metric', responseIndex: 0 }];
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const hints = determineQueryHints(series);
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expect(hints.length).toBe(1);
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expect(hints[0]).toMatchObject({
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label: 'Time series is monotonously increasing.',
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index: 0,
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fix: {
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action: {
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type: 'ADD_RATE',
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query: 'metric',
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},
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},
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});
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});
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it('returns a histogram hint for a bucket series', () => {
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const series = [{ datapoints: [[23, 1000]], query: 'metric_bucket', responseIndex: 0 }];
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const hints = determineQueryHints(series);
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expect(hints.length).toBe(1);
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expect(hints[0]).toMatchObject({
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label: 'Time series has buckets, you probably wanted a histogram.',
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index: 0,
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fix: {
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action: {
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type: 'ADD_HISTOGRAM_QUANTILE',
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query: 'metric_bucket',
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},
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},
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});
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});
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});
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describe('extractRuleMappingFromGroups()', () => {
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it('returns empty mapping for no rule groups', () => {
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expect(extractRuleMappingFromGroups([])).toEqual({});
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});
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it('returns a mapping for recording rules only', () => {
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const groups = [
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{
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rules: [
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{
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name: 'HighRequestLatency',
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query: 'job:request_latency_seconds:mean5m{job="myjob"} > 0.5',
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type: 'alerting',
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},
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{
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name: 'job:http_inprogress_requests:sum',
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query: 'sum(http_inprogress_requests) by (job)',
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type: 'recording',
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},
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],
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file: '/rules.yaml',
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interval: 60,
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name: 'example',
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},
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];
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const mapping = extractRuleMappingFromGroups(groups);
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expect(mapping).toEqual({ 'job:http_inprogress_requests:sum': 'sum(http_inprogress_requests) by (job)' });
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});
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});
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describe('Prometheus regular escaping', () => {
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it('should not escape non-string', () => {
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expect(prometheusRegularEscape(12)).toEqual(12);
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});
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it('should not escape simple string', () => {
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expect(prometheusRegularEscape('cryptodepression')).toEqual('cryptodepression');
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});
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it("should escape '", () => {
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expect(prometheusRegularEscape("looking'glass")).toEqual("looking\\\\'glass");
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});
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it('should escape multiple characters', () => {
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expect(prometheusRegularEscape("'looking'glass'")).toEqual("\\\\'looking\\\\'glass\\\\'");
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});
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});
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describe('Prometheus regexes escaping', () => {
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it('should not escape simple string', () => {
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expect(prometheusSpecialRegexEscape('cryptodepression')).toEqual('cryptodepression');
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});
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it('should escape $^*+?.()\\', () => {
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expect(prometheusSpecialRegexEscape("looking'glass")).toEqual("looking\\\\'glass");
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expect(prometheusSpecialRegexEscape('looking{glass')).toEqual('looking\\\\{glass');
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expect(prometheusSpecialRegexEscape('looking}glass')).toEqual('looking\\\\}glass');
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expect(prometheusSpecialRegexEscape('looking[glass')).toEqual('looking\\\\[glass');
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expect(prometheusSpecialRegexEscape('looking]glass')).toEqual('looking\\\\]glass');
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expect(prometheusSpecialRegexEscape('looking$glass')).toEqual('looking\\\\$glass');
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expect(prometheusSpecialRegexEscape('looking^glass')).toEqual('looking\\\\^glass');
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expect(prometheusSpecialRegexEscape('looking*glass')).toEqual('looking\\\\*glass');
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expect(prometheusSpecialRegexEscape('looking+glass')).toEqual('looking\\\\+glass');
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expect(prometheusSpecialRegexEscape('looking?glass')).toEqual('looking\\\\?glass');
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expect(prometheusSpecialRegexEscape('looking.glass')).toEqual('looking\\\\.glass');
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expect(prometheusSpecialRegexEscape('looking(glass')).toEqual('looking\\\\(glass');
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expect(prometheusSpecialRegexEscape('looking)glass')).toEqual('looking\\\\)glass');
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expect(prometheusSpecialRegexEscape('looking\\glass')).toEqual('looking\\\\\\\\glass');
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});
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it('should escape multiple special characters', () => {
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expect(prometheusSpecialRegexEscape('+looking$glass?')).toEqual('\\\\+looking\\\\$glass\\\\?');
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});
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});
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describe('metricFindQuery', () => {
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beforeEach(() => {
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const query = 'query_result(topk(5,rate(http_request_duration_microseconds_count[$__interval])))';
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ctx.templateSrvMock.replace = jest.fn();
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ctx.timeSrvMock.timeRange = () => {
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return {
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from: moment(1531468681),
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to: moment(1531489712),
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};
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};
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ctx.ds = new PrometheusDatasource(instanceSettings, q, ctx.backendSrvMock, ctx.templateSrvMock, ctx.timeSrvMock);
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ctx.ds.metricFindQuery(query);
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});
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it('should call templateSrv.replace with scopedVars', () => {
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expect(ctx.templateSrvMock.replace.mock.calls[0][1]).toBeDefined();
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});
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it('should have the correct range and range_ms', () => {
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const range = ctx.templateSrvMock.replace.mock.calls[0][1].__range;
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const rangeMs = ctx.templateSrvMock.replace.mock.calls[0][1].__range_ms;
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const rangeS = ctx.templateSrvMock.replace.mock.calls[0][1].__range_s;
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expect(range).toEqual({ text: '21s', value: '21s' });
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expect(rangeMs).toEqual({ text: 21031, value: 21031 });
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expect(rangeS).toEqual({ text: 21, value: 21 });
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});
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it('should pass the default interval value', () => {
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const interval = ctx.templateSrvMock.replace.mock.calls[0][1].__interval;
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const intervalMs = ctx.templateSrvMock.replace.mock.calls[0][1].__interval_ms;
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expect(interval).toEqual({ text: '15s', value: '15s' });
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expect(intervalMs).toEqual({ text: 15000, value: 15000 });
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});
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});
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describe('addLabelToQuery()', () => {
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expect(() => {
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addLabelToQuery('foo', '', '');
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}).toThrow();
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expect(addLabelToQuery('foo + foo', 'bar', 'baz')).toBe('foo{bar="baz"} + foo{bar="baz"}');
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expect(addLabelToQuery('foo{}', 'bar', 'baz')).toBe('foo{bar="baz"}');
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expect(addLabelToQuery('foo{x="yy"}', 'bar', 'baz')).toBe('foo{bar="baz",x="yy"}');
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expect(addLabelToQuery('foo{x="yy"} + metric', 'bar', 'baz')).toBe('foo{bar="baz",x="yy"} + metric{bar="baz"}');
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expect(addLabelToQuery('avg(foo) + sum(xx_yy)', 'bar', 'baz')).toBe('avg(foo{bar="baz"}) + sum(xx_yy{bar="baz"})');
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expect(addLabelToQuery('foo{x="yy"} * metric{y="zz",a="bb"} * metric2', 'bar', 'baz')).toBe(
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'foo{bar="baz",x="yy"} * metric{a="bb",bar="baz",y="zz"} * metric2{bar="baz"}'
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);
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expect(addLabelToQuery('sum by (xx) (foo)', 'bar', 'baz')).toBe('sum by (xx) (foo{bar="baz"})');
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expect(addLabelToQuery('foo{instance="my-host.com:9100"}', 'bar', 'baz')).toBe(
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'foo{bar="baz",instance="my-host.com:9100"}'
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);
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expect(addLabelToQuery('rate(metric[1m])', 'foo', 'bar')).toBe('rate(metric{foo="bar"}[1m])');
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});
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});
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const SECOND = 1000;
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const MINUTE = 60 * SECOND;
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const HOUR = 60 * MINUTE;
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const time = ({ hours = 0, seconds = 0, minutes = 0 }) => moment(hours * HOUR + minutes * MINUTE + seconds * SECOND);
|
||
|
||
const ctx = <any>{};
|
||
const instanceSettings = {
|
||
url: 'proxied',
|
||
directUrl: 'direct',
|
||
user: 'test',
|
||
password: 'mupp',
|
||
jsonData: { httpMethod: 'GET' },
|
||
};
|
||
const backendSrv = <any>{
|
||
datasourceRequest: jest.fn(),
|
||
};
|
||
|
||
const templateSrv = {
|
||
replace: jest.fn(str => str),
|
||
};
|
||
|
||
const timeSrv = {
|
||
timeRange: () => {
|
||
return { to: { diff: () => 2000 }, from: '' };
|
||
},
|
||
};
|
||
|
||
describe('PrometheusDatasource', () => {
|
||
describe('When querying prometheus with one target using query editor target spec', async () => {
|
||
let results;
|
||
const query = {
|
||
range: { from: time({ seconds: 63 }), to: time({ seconds: 183 }) },
|
||
targets: [{ expr: 'test{job="testjob"}', format: 'time_series' }],
|
||
interval: '60s',
|
||
};
|
||
// Interval alignment with step
|
||
const urlExpected =
|
||
'proxied/api/v1/query_range?query=' + encodeURIComponent('test{job="testjob"}') + '&start=60&end=240&step=60';
|
||
|
||
beforeEach(async () => {
|
||
const response = {
|
||
data: {
|
||
status: 'success',
|
||
data: {
|
||
resultType: 'matrix',
|
||
result: [
|
||
{
|
||
metric: { __name__: 'test', job: 'testjob' },
|
||
values: [[60, '3846']],
|
||
},
|
||
],
|
||
},
|
||
},
|
||
};
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
|
||
await ctx.ds.query(query).then(function(data) {
|
||
results = data;
|
||
});
|
||
});
|
||
|
||
it('should generate the correct query', () => {
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const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
it('should return series list', async () => {
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||
expect(results.data.length).toBe(1);
|
||
expect(results.data[0].target).toBe('test{job="testjob"}');
|
||
});
|
||
});
|
||
describe('When querying prometheus with one target which return multiple series', () => {
|
||
let results;
|
||
const start = 60;
|
||
const end = 360;
|
||
const step = 60;
|
||
|
||
const query = {
|
||
range: { from: time({ seconds: start }), to: time({ seconds: end }) },
|
||
targets: [{ expr: 'test{job="testjob"}', format: 'time_series' }],
|
||
interval: '60s',
|
||
};
|
||
|
||
beforeEach(async () => {
|
||
const response = {
|
||
status: 'success',
|
||
data: {
|
||
data: {
|
||
resultType: 'matrix',
|
||
result: [
|
||
{
|
||
metric: { __name__: 'test', job: 'testjob', series: 'series 1' },
|
||
values: [[start + step * 1, '3846'], [start + step * 3, '3847'], [end - step * 1, '3848']],
|
||
},
|
||
{
|
||
metric: { __name__: 'test', job: 'testjob', series: 'series 2' },
|
||
values: [[start + step * 2, '4846']],
|
||
},
|
||
],
|
||
},
|
||
},
|
||
};
|
||
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
|
||
await ctx.ds.query(query).then(function(data) {
|
||
results = data;
|
||
});
|
||
});
|
||
|
||
it('should be same length', () => {
|
||
expect(results.data.length).toBe(2);
|
||
expect(results.data[0].datapoints.length).toBe((end - start) / step + 1);
|
||
expect(results.data[1].datapoints.length).toBe((end - start) / step + 1);
|
||
});
|
||
|
||
it('should fill null until first datapoint in response', () => {
|
||
expect(results.data[0].datapoints[0][1]).toBe(start * 1000);
|
||
expect(results.data[0].datapoints[0][0]).toBe(null);
|
||
expect(results.data[0].datapoints[1][1]).toBe((start + step * 1) * 1000);
|
||
expect(results.data[0].datapoints[1][0]).toBe(3846);
|
||
});
|
||
it('should fill null after last datapoint in response', () => {
|
||
const length = (end - start) / step + 1;
|
||
expect(results.data[0].datapoints[length - 2][1]).toBe((end - step * 1) * 1000);
|
||
expect(results.data[0].datapoints[length - 2][0]).toBe(3848);
|
||
expect(results.data[0].datapoints[length - 1][1]).toBe(end * 1000);
|
||
expect(results.data[0].datapoints[length - 1][0]).toBe(null);
|
||
});
|
||
it('should fill null at gap between series', () => {
|
||
expect(results.data[0].datapoints[2][1]).toBe((start + step * 2) * 1000);
|
||
expect(results.data[0].datapoints[2][0]).toBe(null);
|
||
expect(results.data[1].datapoints[1][1]).toBe((start + step * 1) * 1000);
|
||
expect(results.data[1].datapoints[1][0]).toBe(null);
|
||
expect(results.data[1].datapoints[3][1]).toBe((start + step * 3) * 1000);
|
||
expect(results.data[1].datapoints[3][0]).toBe(null);
|
||
});
|
||
});
|
||
describe('When querying prometheus with one target and instant = true', () => {
|
||
let results;
|
||
const urlExpected = 'proxied/api/v1/query?query=' + encodeURIComponent('test{job="testjob"}') + '&time=123';
|
||
const query = {
|
||
range: { from: time({ seconds: 63 }), to: time({ seconds: 123 }) },
|
||
targets: [{ expr: 'test{job="testjob"}', format: 'time_series', instant: true }],
|
||
interval: '60s',
|
||
};
|
||
|
||
beforeEach(async () => {
|
||
const response = {
|
||
status: 'success',
|
||
data: {
|
||
data: {
|
||
resultType: 'vector',
|
||
result: [
|
||
{
|
||
metric: { __name__: 'test', job: 'testjob' },
|
||
value: [123, '3846'],
|
||
},
|
||
],
|
||
},
|
||
},
|
||
};
|
||
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
|
||
await ctx.ds.query(query).then(function(data) {
|
||
results = data;
|
||
});
|
||
});
|
||
it('should generate the correct query', () => {
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
it('should return series list', () => {
|
||
expect(results.data.length).toBe(1);
|
||
expect(results.data[0].target).toBe('test{job="testjob"}');
|
||
});
|
||
});
|
||
describe('When performing annotationQuery', () => {
|
||
let results;
|
||
|
||
const options = {
|
||
annotation: {
|
||
expr: 'ALERTS{alertstate="firing"}',
|
||
tagKeys: 'job',
|
||
titleFormat: '{{alertname}}',
|
||
textFormat: '{{instance}}',
|
||
},
|
||
range: {
|
||
from: time({ seconds: 63 }),
|
||
to: time({ seconds: 123 }),
|
||
},
|
||
};
|
||
|
||
beforeEach(async () => {
|
||
const response = {
|
||
status: 'success',
|
||
data: {
|
||
data: {
|
||
resultType: 'matrix',
|
||
result: [
|
||
{
|
||
metric: {
|
||
__name__: 'ALERTS',
|
||
alertname: 'InstanceDown',
|
||
alertstate: 'firing',
|
||
instance: 'testinstance',
|
||
job: 'testjob',
|
||
},
|
||
values: [[123, '1']],
|
||
},
|
||
],
|
||
},
|
||
},
|
||
};
|
||
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
|
||
await ctx.ds.annotationQuery(options).then(function(data) {
|
||
results = data;
|
||
});
|
||
});
|
||
it('should return annotation list', () => {
|
||
expect(results.length).toBe(1);
|
||
expect(results[0].tags).toContain('testjob');
|
||
expect(results[0].title).toBe('InstanceDown');
|
||
expect(results[0].text).toBe('testinstance');
|
||
expect(results[0].time).toBe(123 * 1000);
|
||
});
|
||
});
|
||
|
||
describe('When resultFormat is table and instant = true', () => {
|
||
let results;
|
||
const query = {
|
||
range: { from: time({ seconds: 63 }), to: time({ seconds: 123 }) },
|
||
targets: [{ expr: 'test{job="testjob"}', format: 'time_series', instant: true }],
|
||
interval: '60s',
|
||
};
|
||
|
||
beforeEach(async () => {
|
||
const response = {
|
||
status: 'success',
|
||
data: {
|
||
data: {
|
||
resultType: 'vector',
|
||
result: [
|
||
{
|
||
metric: { __name__: 'test', job: 'testjob' },
|
||
value: [123, '3846'],
|
||
},
|
||
],
|
||
},
|
||
},
|
||
};
|
||
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query).then(function(data) {
|
||
results = data;
|
||
});
|
||
});
|
||
|
||
it('should return result', () => {
|
||
expect(results).not.toBe(null);
|
||
});
|
||
});
|
||
|
||
describe('The "step" query parameter', () => {
|
||
const response = {
|
||
status: 'success',
|
||
data: {
|
||
data: {
|
||
resultType: 'matrix',
|
||
result: [],
|
||
},
|
||
},
|
||
};
|
||
|
||
it('should be min interval when greater than auto interval', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [
|
||
{
|
||
expr: 'test',
|
||
interval: '10s',
|
||
},
|
||
],
|
||
interval: '5s',
|
||
};
|
||
const urlExpected = 'proxied/api/v1/query_range?query=test&start=60&end=420&step=10';
|
||
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
|
||
it('step should never go below 1', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [{ expr: 'test' }],
|
||
interval: '100ms',
|
||
};
|
||
const urlExpected = 'proxied/api/v1/query_range?query=test&start=60&end=420&step=1';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
|
||
it('should be auto interval when greater than min interval', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [
|
||
{
|
||
expr: 'test',
|
||
interval: '5s',
|
||
},
|
||
],
|
||
interval: '10s',
|
||
};
|
||
const urlExpected = 'proxied/api/v1/query_range?query=test&start=60&end=420&step=10';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
it('should result in querying fewer than 11000 data points', async () => {
|
||
const query = {
|
||
// 6 hour range
|
||
range: { from: time({ hours: 1 }), to: time({ hours: 7 }) },
|
||
targets: [{ expr: 'test' }],
|
||
interval: '1s',
|
||
};
|
||
const end = 7 * 60 * 60;
|
||
const start = 60 * 60;
|
||
const urlExpected = 'proxied/api/v1/query_range?query=test&start=' + start + '&end=' + end + '&step=2';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
it('should not apply min interval when interval * intervalFactor greater', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [
|
||
{
|
||
expr: 'test',
|
||
interval: '10s',
|
||
intervalFactor: 10,
|
||
},
|
||
],
|
||
interval: '5s',
|
||
};
|
||
// times get rounded up to interval
|
||
const urlExpected = 'proxied/api/v1/query_range?query=test&start=50&end=450&step=50';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
it('should apply min interval when interval * intervalFactor smaller', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [
|
||
{
|
||
expr: 'test',
|
||
interval: '15s',
|
||
intervalFactor: 2,
|
||
},
|
||
],
|
||
interval: '5s',
|
||
};
|
||
const urlExpected = 'proxied/api/v1/query_range?query=test' + '&start=60&end=420&step=15';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
it('should apply intervalFactor to auto interval when greater', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [
|
||
{
|
||
expr: 'test',
|
||
interval: '5s',
|
||
intervalFactor: 10,
|
||
},
|
||
],
|
||
interval: '10s',
|
||
};
|
||
// times get aligned to interval
|
||
const urlExpected = 'proxied/api/v1/query_range?query=test' + '&start=0&end=500&step=100';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
it('should not not be affected by the 11000 data points limit when large enough', async () => {
|
||
const query = {
|
||
// 1 week range
|
||
range: { from: time({}), to: time({ hours: 7 * 24 }) },
|
||
targets: [
|
||
{
|
||
expr: 'test',
|
||
intervalFactor: 10,
|
||
},
|
||
],
|
||
interval: '10s',
|
||
};
|
||
const end = 7 * 24 * 60 * 60;
|
||
const start = 0;
|
||
const urlExpected = 'proxied/api/v1/query_range?query=test' + '&start=' + start + '&end=' + end + '&step=100';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
it('should be determined by the 11000 data points limit when too small', async () => {
|
||
const query = {
|
||
// 1 week range
|
||
range: { from: time({}), to: time({ hours: 7 * 24 }) },
|
||
targets: [
|
||
{
|
||
expr: 'test',
|
||
intervalFactor: 10,
|
||
},
|
||
],
|
||
interval: '5s',
|
||
};
|
||
const end = 7 * 24 * 60 * 60;
|
||
const start = 0;
|
||
const urlExpected = 'proxied/api/v1/query_range?query=test' + '&start=' + start + '&end=' + end + '&step=60';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
});
|
||
});
|
||
|
||
describe('The __interval and __interval_ms template variables', () => {
|
||
const response = {
|
||
status: 'success',
|
||
data: {
|
||
data: {
|
||
resultType: 'matrix',
|
||
result: [],
|
||
},
|
||
},
|
||
};
|
||
|
||
it('should be unchanged when auto interval is greater than min interval', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [
|
||
{
|
||
expr: 'rate(test[$__interval])',
|
||
interval: '5s',
|
||
},
|
||
],
|
||
interval: '10s',
|
||
scopedVars: {
|
||
__interval: { text: '10s', value: '10s' },
|
||
__interval_ms: { text: 10 * 1000, value: 10 * 1000 },
|
||
},
|
||
};
|
||
|
||
const urlExpected =
|
||
'proxied/api/v1/query_range?query=' +
|
||
encodeURIComponent('rate(test[$__interval])') +
|
||
'&start=60&end=420&step=10';
|
||
|
||
templateSrv.replace = jest.fn(str => str);
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
|
||
expect(templateSrv.replace.mock.calls[0][1]).toEqual({
|
||
__interval: {
|
||
text: '10s',
|
||
value: '10s',
|
||
},
|
||
__interval_ms: {
|
||
text: 10000,
|
||
value: 10000,
|
||
},
|
||
});
|
||
});
|
||
it('should be min interval when it is greater than auto interval', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [
|
||
{
|
||
expr: 'rate(test[$__interval])',
|
||
interval: '10s',
|
||
},
|
||
],
|
||
interval: '5s',
|
||
scopedVars: {
|
||
__interval: { text: '5s', value: '5s' },
|
||
__interval_ms: { text: 5 * 1000, value: 5 * 1000 },
|
||
},
|
||
};
|
||
const urlExpected =
|
||
'proxied/api/v1/query_range?query=' +
|
||
encodeURIComponent('rate(test[$__interval])') +
|
||
'&start=60&end=420&step=10';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
templateSrv.replace = jest.fn(str => str);
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
|
||
expect(templateSrv.replace.mock.calls[0][1]).toEqual({
|
||
__interval: {
|
||
text: '5s',
|
||
value: '5s',
|
||
},
|
||
__interval_ms: {
|
||
text: 5000,
|
||
value: 5000,
|
||
},
|
||
});
|
||
});
|
||
it('should account for intervalFactor', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [
|
||
{
|
||
expr: 'rate(test[$__interval])',
|
||
interval: '5s',
|
||
intervalFactor: 10,
|
||
},
|
||
],
|
||
interval: '10s',
|
||
scopedVars: {
|
||
__interval: { text: '10s', value: '10s' },
|
||
__interval_ms: { text: 10 * 1000, value: 10 * 1000 },
|
||
},
|
||
};
|
||
const urlExpected =
|
||
'proxied/api/v1/query_range?query=' +
|
||
encodeURIComponent('rate(test[$__interval])') +
|
||
'&start=0&end=500&step=100';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
templateSrv.replace = jest.fn(str => str);
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
|
||
expect(templateSrv.replace.mock.calls[0][1]).toEqual({
|
||
__interval: {
|
||
text: '10s',
|
||
value: '10s',
|
||
},
|
||
__interval_ms: {
|
||
text: 10000,
|
||
value: 10000,
|
||
},
|
||
});
|
||
|
||
expect(query.scopedVars.__interval.text).toBe('10s');
|
||
expect(query.scopedVars.__interval.value).toBe('10s');
|
||
expect(query.scopedVars.__interval_ms.text).toBe(10 * 1000);
|
||
expect(query.scopedVars.__interval_ms.value).toBe(10 * 1000);
|
||
});
|
||
it('should be interval * intervalFactor when greater than min interval', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [
|
||
{
|
||
expr: 'rate(test[$__interval])',
|
||
interval: '10s',
|
||
intervalFactor: 10,
|
||
},
|
||
],
|
||
interval: '5s',
|
||
scopedVars: {
|
||
__interval: { text: '5s', value: '5s' },
|
||
__interval_ms: { text: 5 * 1000, value: 5 * 1000 },
|
||
},
|
||
};
|
||
const urlExpected =
|
||
'proxied/api/v1/query_range?query=' +
|
||
encodeURIComponent('rate(test[$__interval])') +
|
||
'&start=50&end=450&step=50';
|
||
|
||
templateSrv.replace = jest.fn(str => str);
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
|
||
expect(templateSrv.replace.mock.calls[0][1]).toEqual({
|
||
__interval: {
|
||
text: '5s',
|
||
value: '5s',
|
||
},
|
||
__interval_ms: {
|
||
text: 5000,
|
||
value: 5000,
|
||
},
|
||
});
|
||
});
|
||
it('should be min interval when greater than interval * intervalFactor', async () => {
|
||
const query = {
|
||
// 6 minute range
|
||
range: { from: time({ minutes: 1 }), to: time({ minutes: 7 }) },
|
||
targets: [
|
||
{
|
||
expr: 'rate(test[$__interval])',
|
||
interval: '15s',
|
||
intervalFactor: 2,
|
||
},
|
||
],
|
||
interval: '5s',
|
||
scopedVars: {
|
||
__interval: { text: '5s', value: '5s' },
|
||
__interval_ms: { text: 5 * 1000, value: 5 * 1000 },
|
||
},
|
||
};
|
||
const urlExpected =
|
||
'proxied/api/v1/query_range?query=' +
|
||
encodeURIComponent('rate(test[$__interval])') +
|
||
'&start=60&end=420&step=15';
|
||
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
|
||
expect(templateSrv.replace.mock.calls[0][1]).toEqual({
|
||
__interval: {
|
||
text: '5s',
|
||
value: '5s',
|
||
},
|
||
__interval_ms: {
|
||
text: 5000,
|
||
value: 5000,
|
||
},
|
||
});
|
||
});
|
||
it('should be determined by the 11000 data points limit, accounting for intervalFactor', async () => {
|
||
const query = {
|
||
// 1 week range
|
||
range: { from: time({}), to: time({ hours: 7 * 24 }) },
|
||
targets: [
|
||
{
|
||
expr: 'rate(test[$__interval])',
|
||
intervalFactor: 10,
|
||
},
|
||
],
|
||
interval: '5s',
|
||
scopedVars: {
|
||
__interval: { text: '5s', value: '5s' },
|
||
__interval_ms: { text: 5 * 1000, value: 5 * 1000 },
|
||
},
|
||
};
|
||
const end = 7 * 24 * 60 * 60;
|
||
const start = 0;
|
||
const urlExpected =
|
||
'proxied/api/v1/query_range?query=' +
|
||
encodeURIComponent('rate(test[$__interval])') +
|
||
'&start=' +
|
||
start +
|
||
'&end=' +
|
||
end +
|
||
'&step=60';
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
templateSrv.replace = jest.fn(str => str);
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query);
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('GET');
|
||
expect(res.url).toBe(urlExpected);
|
||
|
||
expect(templateSrv.replace.mock.calls[0][1]).toEqual({
|
||
__interval: {
|
||
text: '5s',
|
||
value: '5s',
|
||
},
|
||
__interval_ms: {
|
||
text: 5000,
|
||
value: 5000,
|
||
},
|
||
});
|
||
});
|
||
});
|
||
});
|
||
|
||
describe('PrometheusDatasource for POST', () => {
|
||
// const ctx = new helpers.ServiceTestContext();
|
||
const instanceSettings = {
|
||
url: 'proxied',
|
||
directUrl: 'direct',
|
||
user: 'test',
|
||
password: 'mupp',
|
||
jsonData: { httpMethod: 'POST' },
|
||
};
|
||
|
||
describe('When querying prometheus with one target using query editor target spec', () => {
|
||
let results;
|
||
const urlExpected = 'proxied/api/v1/query_range';
|
||
const dataExpected = {
|
||
query: 'test{job="testjob"}',
|
||
start: 1 * 60,
|
||
end: 3 * 60,
|
||
step: 60,
|
||
};
|
||
const query = {
|
||
range: { from: time({ minutes: 1, seconds: 3 }), to: time({ minutes: 2, seconds: 3 }) },
|
||
targets: [{ expr: 'test{job="testjob"}', format: 'time_series' }],
|
||
interval: '60s',
|
||
};
|
||
|
||
beforeEach(async () => {
|
||
const response = {
|
||
status: 'success',
|
||
data: {
|
||
data: {
|
||
resultType: 'matrix',
|
||
result: [
|
||
{
|
||
metric: { __name__: 'test', job: 'testjob' },
|
||
values: [[2 * 60, '3846']],
|
||
},
|
||
],
|
||
},
|
||
},
|
||
};
|
||
backendSrv.datasourceRequest = jest.fn(() => Promise.resolve(response));
|
||
ctx.ds = new PrometheusDatasource(instanceSettings, q, <any>backendSrv, templateSrv, timeSrv);
|
||
await ctx.ds.query(query).then(function(data) {
|
||
results = data;
|
||
});
|
||
});
|
||
it('should generate the correct query', () => {
|
||
const res = backendSrv.datasourceRequest.mock.calls[0][0];
|
||
expect(res.method).toBe('POST');
|
||
expect(res.url).toBe(urlExpected);
|
||
expect(res.data).toEqual(dataExpected);
|
||
});
|
||
it('should return series list', () => {
|
||
expect(results.data.length).toBe(1);
|
||
expect(results.data[0].target).toBe('test{job="testjob"}');
|
||
});
|
||
});
|
||
});
|