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grafana/public/app/plugins/datasource/prometheus/language_provider.test.ts

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