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* Remove unused code * More cleaning * Delete more * betterer * Small import fixes * Fix unit test * Fix unit test * uncomment * Have template_srv from @grafana/runtime
394 lines
15 KiB
TypeScript
394 lines
15 KiB
TypeScript
import { AbstractLabelOperator, dateTime, TimeRange } from '@grafana/data';
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import { Label } from './components/monaco-query-field/monaco-completion-provider/situation';
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import { PrometheusDatasource } from './datasource';
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import LanguageProvider from './language_provider';
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import { getClientCacheDurationInMinutes, getPrometheusTime, getRangeSnapInterval } from './language_utils';
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import { PrometheusCacheLevel } from './types';
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const now = new Date(1681300293392).getTime();
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const timeRangeDurationSeconds = 1;
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const toPrometheusTime = getPrometheusTime(dateTime(now), false);
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const fromPrometheusTime = getPrometheusTime(dateTime(now - timeRangeDurationSeconds * 1000), false);
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const toPrometheusTimeString = toPrometheusTime.toString(10);
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const fromPrometheusTimeString = fromPrometheusTime.toString(10);
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const getMockTimeRange = (): TimeRange => {
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return {
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to: dateTime(now).utc(),
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from: dateTime(now).subtract(timeRangeDurationSeconds, 'second').utc(),
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raw: {
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from: fromPrometheusTimeString,
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to: toPrometheusTimeString,
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},
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};
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};
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const getTimeRangeParams = (
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timRange: TimeRange,
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override?: Partial<{ start: string; end: string }>
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): { start: string; end: string } => ({
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start: fromPrometheusTimeString,
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end: toPrometheusTimeString,
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...override,
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});
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const getMockQuantizedTimeRangeParams = (override?: Partial<TimeRange>): TimeRange => ({
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from: dateTime(fromPrometheusTime * 1000),
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to: dateTime(toPrometheusTime * 1000),
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raw: {
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from: `now-${timeRangeDurationSeconds}s`,
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to: 'now',
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},
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...override,
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});
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describe('Language completion provider', () => {
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const defaultDatasource: PrometheusDatasource = {
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metadataRequest: () => ({ data: { data: [] } }),
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getTimeRangeParams: getTimeRangeParams,
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interpolateString: (string: string) => string,
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hasLabelsMatchAPISupport: () => false,
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getQuantizedTimeRangeParams: () =>
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getRangeSnapInterval(PrometheusCacheLevel.None, getMockQuantizedTimeRangeParams()),
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getDaysToCacheMetadata: () => 1,
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getAdjustedInterval: () => getRangeSnapInterval(PrometheusCacheLevel.None, getMockQuantizedTimeRangeParams()),
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cacheLevel: PrometheusCacheLevel.None,
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} as unknown as PrometheusDatasource;
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describe('cleanText', () => {
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const cleanText = new LanguageProvider(defaultDatasource).cleanText;
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it('does not remove metric or label keys', () => {
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expect(cleanText('foo')).toBe('foo');
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expect(cleanText('foo_bar')).toBe('foo_bar');
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});
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it('keeps trailing space but removes leading', () => {
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expect(cleanText('foo ')).toBe('foo ');
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expect(cleanText(' foo')).toBe('foo');
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});
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it('removes label syntax', () => {
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expect(cleanText('foo="bar')).toBe('bar');
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expect(cleanText('foo!="bar')).toBe('bar');
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expect(cleanText('foo=~"bar')).toBe('bar');
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expect(cleanText('foo!~"bar')).toBe('bar');
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expect(cleanText('{bar')).toBe('bar');
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});
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it('removes previous operators', () => {
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expect(cleanText('foo + bar')).toBe('bar');
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expect(cleanText('foo+bar')).toBe('bar');
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expect(cleanText('foo - bar')).toBe('bar');
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expect(cleanText('foo * bar')).toBe('bar');
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expect(cleanText('foo / bar')).toBe('bar');
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expect(cleanText('foo % bar')).toBe('bar');
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expect(cleanText('foo ^ bar')).toBe('bar');
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expect(cleanText('foo and bar')).toBe('bar');
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expect(cleanText('foo or bar')).toBe('bar');
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expect(cleanText('foo unless bar')).toBe('bar');
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expect(cleanText('foo == bar')).toBe('bar');
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expect(cleanText('foo != bar')).toBe('bar');
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expect(cleanText('foo > bar')).toBe('bar');
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expect(cleanText('foo < bar')).toBe('bar');
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expect(cleanText('foo >= bar')).toBe('bar');
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expect(cleanText('foo <= bar')).toBe('bar');
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expect(cleanText('memory')).toBe('memory');
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});
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it('removes aggregation syntax', () => {
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expect(cleanText('(bar')).toBe('bar');
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expect(cleanText('(foo,bar')).toBe('bar');
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expect(cleanText('(foo, bar')).toBe('bar');
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});
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it('removes range syntax', () => {
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expect(cleanText('[1m')).toBe('1m');
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});
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});
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describe('getSeriesLabels', () => {
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it('should call labels endpoint', () => {
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const languageProvider = new LanguageProvider({
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...defaultDatasource,
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hasLabelsMatchAPISupport: () => true,
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} as PrometheusDatasource);
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const getSeriesLabels = languageProvider.getSeriesLabels;
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const requestSpy = jest.spyOn(languageProvider, 'request');
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const labelName = 'job';
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const labelValue = 'grafana';
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getSeriesLabels(`{${labelName}="${labelValue}"}`, [{ name: labelName, value: labelValue, op: '=' }] as Label[]);
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expect(requestSpy).toHaveBeenCalled();
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expect(requestSpy).toHaveBeenCalledWith(
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`/api/v1/labels`,
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[],
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{
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end: toPrometheusTimeString,
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'match[]': '{job="grafana"}',
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start: fromPrometheusTimeString,
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},
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undefined
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);
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});
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it('should call series endpoint', () => {
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const languageProvider = new LanguageProvider({
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...defaultDatasource,
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getAdjustedInterval: (timeRange: TimeRange) =>
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getRangeSnapInterval(PrometheusCacheLevel.None, getMockQuantizedTimeRangeParams()),
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} as PrometheusDatasource);
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const getSeriesLabels = languageProvider.getSeriesLabels;
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const requestSpy = jest.spyOn(languageProvider, 'request');
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const labelName = 'job';
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const labelValue = 'grafana';
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getSeriesLabels(`{${labelName}="${labelValue}"}`, [{ name: labelName, value: labelValue, op: '=' }] as Label[]);
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expect(requestSpy).toHaveBeenCalled();
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expect(requestSpy).toHaveBeenCalledWith(
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'/api/v1/series',
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[],
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{
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end: toPrometheusTimeString,
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'match[]': '{job="grafana"}',
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start: fromPrometheusTimeString,
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},
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undefined
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);
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});
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it('should call labels endpoint with quantized start', () => {
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const timeSnapMinutes = getClientCacheDurationInMinutes(PrometheusCacheLevel.Low);
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const languageProvider = new LanguageProvider({
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...defaultDatasource,
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hasLabelsMatchAPISupport: () => true,
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cacheLevel: PrometheusCacheLevel.Low,
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getAdjustedInterval: (timeRange: TimeRange) =>
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getRangeSnapInterval(PrometheusCacheLevel.Low, getMockQuantizedTimeRangeParams()),
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getCacheDurationInMinutes: () => timeSnapMinutes,
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} as PrometheusDatasource);
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const getSeriesLabels = languageProvider.getSeriesLabels;
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const requestSpy = jest.spyOn(languageProvider, 'request');
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const labelName = 'job';
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const labelValue = 'grafana';
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getSeriesLabels(`{${labelName}="${labelValue}"}`, [{ name: labelName, value: labelValue, op: '=' }] as Label[]);
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expect(requestSpy).toHaveBeenCalled();
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expect(requestSpy).toHaveBeenCalledWith(
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`/api/v1/labels`,
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[],
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{
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end: (
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dateTime(fromPrometheusTime * 1000)
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.add(timeSnapMinutes, 'minute')
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.startOf('minute')
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.valueOf() / 1000
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).toString(),
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'match[]': '{job="grafana"}',
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start: (
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dateTime(toPrometheusTime * 1000)
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.startOf('minute')
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.valueOf() / 1000
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).toString(),
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},
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{ headers: { 'X-Grafana-Cache': `private, max-age=${timeSnapMinutes * 60}` } }
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);
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});
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});
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describe('getSeriesValues', () => {
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it('should call old series endpoint and should use match[] parameter', () => {
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const languageProvider = new LanguageProvider({
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...defaultDatasource,
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} as PrometheusDatasource);
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const getSeriesValues = languageProvider.getSeriesValues;
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const requestSpy = jest.spyOn(languageProvider, 'request');
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getSeriesValues('job', '{job="grafana"}');
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expect(requestSpy).toHaveBeenCalled();
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expect(requestSpy).toHaveBeenCalledWith(
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'/api/v1/series',
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[],
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{
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end: toPrometheusTimeString,
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'match[]': '{job="grafana"}',
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start: fromPrometheusTimeString,
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},
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undefined
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);
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});
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it('should call new series endpoint and should use match[] parameter', () => {
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const languageProvider = new LanguageProvider({
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...defaultDatasource,
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hasLabelsMatchAPISupport: () => true,
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} as PrometheusDatasource);
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const getSeriesValues = languageProvider.getSeriesValues;
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const requestSpy = jest.spyOn(languageProvider, 'request');
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const labelName = 'job';
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const labelValue = 'grafana';
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getSeriesValues(labelName, `{${labelName}="${labelValue}"}`);
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expect(requestSpy).toHaveBeenCalled();
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expect(requestSpy).toHaveBeenCalledWith(
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`/api/v1/label/${labelName}/values`,
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[],
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{
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end: toPrometheusTimeString,
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'match[]': `{${labelName}="${labelValue}"}`,
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start: fromPrometheusTimeString,
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},
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undefined
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);
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});
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it('should call old series endpoint and should use match[] parameter and interpolate the template variables', () => {
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const languageProvider = new LanguageProvider({
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...defaultDatasource,
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interpolateString: (string: string) => string.replace(/\$/, 'interpolated-'),
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} as PrometheusDatasource);
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const getSeriesValues = languageProvider.getSeriesValues;
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const requestSpy = jest.spyOn(languageProvider, 'request');
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getSeriesValues('job', '{instance="$instance", job="grafana"}');
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expect(requestSpy).toHaveBeenCalled();
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expect(requestSpy).toHaveBeenCalledWith(
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'/api/v1/series',
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[],
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{
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end: toPrometheusTimeString,
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'match[]': '{instance="interpolated-instance", job="grafana"}',
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start: fromPrometheusTimeString,
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},
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undefined
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);
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});
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});
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describe('fetchSeries', () => {
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it('should use match[] parameter', async () => {
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const languageProvider = new LanguageProvider(defaultDatasource);
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const timeRange = getMockTimeRange();
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await languageProvider.start(timeRange);
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const requestSpy = jest.spyOn(languageProvider, 'request');
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await languageProvider.fetchSeries('{job="grafana"}');
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expect(requestSpy).toHaveBeenCalled();
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expect(requestSpy).toHaveBeenCalledWith(
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'/api/v1/series',
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{},
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{
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end: toPrometheusTimeString,
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'match[]': '{job="grafana"}',
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start: fromPrometheusTimeString,
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},
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undefined
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);
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});
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});
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describe('fetchSeriesLabels', () => {
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it('should interpolate variable in series', () => {
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const languageProvider = new LanguageProvider({
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...defaultDatasource,
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interpolateString: (string: string) => string.replace(/\$/, 'interpolated-'),
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} as PrometheusDatasource);
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const fetchSeriesLabels = languageProvider.fetchSeriesLabels;
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const requestSpy = jest.spyOn(languageProvider, 'request');
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fetchSeriesLabels('$metric');
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expect(requestSpy).toHaveBeenCalled();
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expect(requestSpy).toHaveBeenCalledWith(
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'/api/v1/series',
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[],
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{
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end: toPrometheusTimeString,
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'match[]': 'interpolated-metric',
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start: fromPrometheusTimeString,
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},
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undefined
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);
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});
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});
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describe('fetchLabelValues', () => {
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it('should interpolate variable in series', () => {
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const languageProvider = new LanguageProvider({
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...defaultDatasource,
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interpolateString: (string: string) => string.replace(/\$/, 'interpolated-'),
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} as PrometheusDatasource);
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const fetchLabelValues = languageProvider.fetchLabelValues;
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const requestSpy = jest.spyOn(languageProvider, 'request');
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fetchLabelValues('$job');
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expect(requestSpy).toHaveBeenCalled();
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expect(requestSpy).toHaveBeenCalledWith(
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'/api/v1/label/interpolated-job/values',
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[],
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{
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end: toPrometheusTimeString,
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start: fromPrometheusTimeString,
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},
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undefined
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);
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});
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});
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describe('disabled metrics lookup', () => {
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it('issues metadata requests when lookup is not disabled', async () => {
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const datasource: PrometheusDatasource = {
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...defaultDatasource,
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metadataRequest: jest.fn(() => ({ data: { data: ['foo', 'bar'] as string[] } })),
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lookupsDisabled: false,
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} as unknown as PrometheusDatasource;
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const mockedMetadataRequest = jest.mocked(datasource.metadataRequest);
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const instance = new LanguageProvider(datasource);
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expect(mockedMetadataRequest.mock.calls.length).toBe(0);
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await instance.start();
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expect(mockedMetadataRequest.mock.calls.length).toBeGreaterThan(0);
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});
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it('doesnt blow up if metadata or fetchLabels rejects', async () => {
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jest.spyOn(console, 'error').mockImplementation();
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const datasource: PrometheusDatasource = {
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...defaultDatasource,
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metadataRequest: jest.fn(() => Promise.reject('rejected')),
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lookupsDisabled: false,
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} as unknown as PrometheusDatasource;
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const mockedMetadataRequest = jest.mocked(datasource.metadataRequest);
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const instance = new LanguageProvider(datasource);
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expect(mockedMetadataRequest.mock.calls.length).toBe(0);
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const result = await instance.start();
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expect(result[0]).toBeUndefined();
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expect(result[1]).toEqual([]);
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expect(mockedMetadataRequest.mock.calls.length).toBe(3);
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});
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});
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describe('Query imports', () => {
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it('returns empty queries', async () => {
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const instance = new LanguageProvider(defaultDatasource);
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const result = await instance.importFromAbstractQuery({ refId: 'bar', labelMatchers: [] });
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expect(result).toEqual({ refId: 'bar', expr: '', range: true });
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});
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describe('exporting to abstract query', () => {
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it('exports labels with metric name', async () => {
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const instance = new LanguageProvider(defaultDatasource);
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const abstractQuery = instance.exportToAbstractQuery({
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refId: 'bar',
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expr: 'metric_name{label1="value1", label2!="value2", label3=~"value3", label4!~"value4"}',
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instant: true,
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range: false,
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});
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expect(abstractQuery).toMatchObject({
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refId: 'bar',
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labelMatchers: [
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{ name: 'label1', operator: AbstractLabelOperator.Equal, value: 'value1' },
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{ name: 'label2', operator: AbstractLabelOperator.NotEqual, value: 'value2' },
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{ name: 'label3', operator: AbstractLabelOperator.EqualRegEx, value: 'value3' },
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{ name: 'label4', operator: AbstractLabelOperator.NotEqualRegEx, value: 'value4' },
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{ name: '__name__', operator: AbstractLabelOperator.Equal, value: 'metric_name' },
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],
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});
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});
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});
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});
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});
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