grafana/public/app/plugins/datasource/loki/datasource.test.ts
Piotr Jamróz 124e9daf26
Loki: Full range logs volume (#39327)
* Basic implementation of getLogsVolumeQuery method

* Add todos

* Add a switcher to automatically load logs volume

* De-scope dismissing logs volume panel

* De-scope logs volume query cancellation

* Remove todo

* Aggregate logs volume components in single panel

* Show logs volume only when it's available

* Aggregate logs volume by level

* Simplify aggregation

* Handle no logs volume data

* Add error handling

* Do not show auto-load logs volume switcher when loading logs volume is not available

* Remove old logs volume graph

* Clean up

* Make getting data provider more generic

* Provide complete logs volume data (error, isLoading)

* Display more specific error message

* Add missing props to mocks

* Remove setRequest method

* Mark getQueryRelatedDataProviders as internal

* Add missing dataQueryRequest and add a todo

* Remove redundant loading state

* Do not mutate existing queries

* Apply fix for zooming-in from main

* Post-merge fixes

* Create collection for data provider results

* Use more generic names

* Move aggregation logic to Loki logs volume provider

* Move LogsVolume to common types

* Update tests

* Post-merge fixes

* Fix mapping related data values

* Simplify prop mappings

* Add docs

* Fix property name

* Clean-up

* Mark new types as internal

* Reduce number of providers to logs volume only

* Simplify data structure to DataQueryResponse

* Move Logs Volume panel to a separate component

* Test logsVolumeProvider.ts

* Add observable version of datasource mock

* Test getLogsVolumeDataProvider method

* Test LogsVolumePanel

* Test logs volume reducer

* Clean up

* Clean up

* Fix test

* Use sum by to use level field directly

* Fix strict type errors

* Fix strict type errors

* Use "logs" instead of "unknown" if only one level was detected

* Add docs about logs volume

* Rename histogramRequest to logsVolumeRequest

* Use LogsVolumeContentWrapper all content types

* Move `autoLoadLogsVolume` local storage handling

* Fix strict error

* Move getting autoLoadLogsVolume to initial state

* Cancel current logs volume subscription

* Test cancelling subscriptions

* Update docs/sources/datasources/loki.md

Co-authored-by: achatterjee-grafana <70489351+achatterjee-grafana@users.noreply.github.com>

* Update packages/grafana-data/src/types/explore.ts

Co-authored-by: achatterjee-grafana <70489351+achatterjee-grafana@users.noreply.github.com>

* Inline container styles

* Ensure logs volume is aggregated per each subscription separately

* Simplify logs volume provider

* Type-guard support for logs volume provider

* Simplify event handlers to avoid casting

* Clean up and docs

* Move auto-load switcher to logs volume panel

* Fix test

* Move DataSourceWithLogsVolumeSupport to avoid cross referencing

* Simplify interface

* Bring back old histogram and hide the new one behind a feature flag

* Add missing props to logs histogram panel

* Clean up the provider when it's not supported

* Simplify storing autoLoadLogsVolume

* Remove docs

* Update packages/grafana-data/src/types/logsVolume.ts

Co-authored-by: Andrej Ocenas <mr.ocenas@gmail.com>

* Skip dataframes without fields (instant queries)

* Revert styles changes

* Revert styles changes

* Add release tag

Co-authored-by: achatterjee-grafana <70489351+achatterjee-grafana@users.noreply.github.com>
Co-authored-by: Andrej Ocenas <mr.ocenas@gmail.com>
2021-09-30 15:46:11 +02:00

1005 lines
34 KiB
TypeScript

import { lastValueFrom, of, throwError } from 'rxjs';
import { take } from 'rxjs/operators';
import {
AnnotationQueryRequest,
CoreApp,
DataFrame,
dateTime,
FieldCache,
TimeSeries,
toUtc,
LogRowModel,
MutableDataFrame,
FieldType,
} from '@grafana/data';
import { BackendSrvRequest, FetchResponse } from '@grafana/runtime';
import LokiDatasource from './datasource';
import { LokiQuery, LokiResponse, LokiResultType } from './types';
import { getQueryOptions } from 'test/helpers/getQueryOptions';
import { TemplateSrv } from 'app/features/templating/template_srv';
import { TimeSrv } from 'app/features/dashboard/services/TimeSrv';
import { backendSrv } from 'app/core/services/backend_srv';
import { CustomVariableModel } from '../../../features/variables/types';
import { initialCustomVariableModelState } from '../../../features/variables/custom/reducer';
import { makeMockLokiDatasource } from './mocks';
import { createFetchResponse } from 'test/helpers/createFetchResponse';
jest.mock('@grafana/runtime', () => ({
// @ts-ignore
...jest.requireActual('@grafana/runtime'),
getBackendSrv: () => backendSrv,
}));
const rawRange = {
from: toUtc('2018-04-25 10:00'),
to: toUtc('2018-04-25 11:00'),
};
const timeSrvStub = ({
timeRange: () => ({
from: rawRange.from,
to: rawRange.to,
raw: rawRange,
}),
} as unknown) as TimeSrv;
const templateSrvStub = {
getAdhocFilters: jest.fn(() => [] as any[]),
replace: jest.fn((a: string, ...rest: any) => a),
};
const testLogsResponse: FetchResponse<LokiResponse> = {
data: {
data: {
resultType: LokiResultType.Stream,
result: [
{
stream: {},
values: [['1573646419522934000', 'hello']],
},
],
},
status: 'success',
},
ok: true,
headers: ({} as unknown) as Headers,
redirected: false,
status: 200,
statusText: 'Success',
type: 'default',
url: '',
config: ({} as unknown) as BackendSrvRequest,
};
const testMetricsResponse: FetchResponse<LokiResponse> = {
data: {
data: {
resultType: LokiResultType.Matrix,
result: [
{
metric: {},
values: [[1605715380, '1.1']],
},
],
},
status: 'success',
},
ok: true,
headers: ({} as unknown) as Headers,
redirected: false,
status: 200,
statusText: 'OK',
type: 'basic',
url: '',
config: ({} as unknown) as BackendSrvRequest,
};
interface AdHocFilter {
condition: string;
key: string;
operator: string;
value: string;
}
describe('LokiDatasource', () => {
const fetchMock = jest.spyOn(backendSrv, 'fetch');
beforeEach(() => {
jest.clearAllMocks();
fetchMock.mockImplementation(() => of(createFetchResponse({})));
});
describe('when creating range query', () => {
let ds: LokiDatasource;
let adjustIntervalSpy: jest.SpyInstance;
beforeEach(() => {
ds = createLokiDSForTests();
adjustIntervalSpy = jest.spyOn(ds, 'adjustInterval');
});
it('should use default intervalMs if one is not provided', () => {
const target = { expr: '{job="grafana"}', refId: 'B' };
const raw = { from: 'now', to: 'now-1h' };
const range = { from: dateTime(), to: dateTime(), raw: raw };
const options = {
range,
};
const req = ds.createRangeQuery(target, options as any, 1000);
expect(req.start).toBeDefined();
expect(req.end).toBeDefined();
expect(adjustIntervalSpy).toHaveBeenCalledWith(1000, 1, expect.anything());
});
it('should use provided intervalMs', () => {
const target = { expr: '{job="grafana"}', refId: 'B' };
const raw = { from: 'now', to: 'now-1h' };
const range = { from: dateTime(), to: dateTime(), raw: raw };
const options = {
range,
intervalMs: 2000,
};
const req = ds.createRangeQuery(target, options as any, 1000);
expect(req.start).toBeDefined();
expect(req.end).toBeDefined();
expect(adjustIntervalSpy).toHaveBeenCalledWith(2000, 1, expect.anything());
});
it('should set the minimal step to 1ms', () => {
const target = { expr: '{job="grafana"}', refId: 'B' };
const raw = { from: 'now', to: 'now-1h' };
const range = { from: dateTime('2020-10-14T00:00:00'), to: dateTime('2020-10-14T00:00:01'), raw: raw };
const options = {
range,
intervalMs: 0.0005,
};
const req = ds.createRangeQuery(target, options as any, 1000);
expect(req.start).toBeDefined();
expect(req.end).toBeDefined();
expect(adjustIntervalSpy).toHaveBeenCalledWith(0.0005, expect.anything(), 1000);
// Step is in seconds (1 ms === 0.001 s)
expect(req.step).toEqual(0.001);
});
});
describe('when doing logs queries with limits', () => {
const runLimitTest = async ({
maxDataPoints = 123,
queryMaxLines,
dsMaxLines = 456,
expectedLimit,
expr = '{label="val"}',
}: any) => {
let settings: any = {
url: 'myloggingurl',
jsonData: {
maxLines: dsMaxLines,
},
};
const templateSrvMock = ({
getAdhocFilters: (): any[] => [],
replace: (a: string) => a,
} as unknown) as TemplateSrv;
const ds = new LokiDatasource(settings, templateSrvMock, timeSrvStub as any);
const options = getQueryOptions<LokiQuery>({ targets: [{ expr, refId: 'B', maxLines: queryMaxLines }] });
options.maxDataPoints = maxDataPoints;
fetchMock.mockImplementation(() => of(testLogsResponse));
await expect(ds.query(options).pipe(take(1))).toEmitValuesWith(() => {
expect(fetchMock.mock.calls.length).toBe(1);
expect(fetchMock.mock.calls[0][0].url).toContain(`limit=${expectedLimit}`);
});
};
it('should use datasource max lines when no limit given and it is log query', async () => {
await runLimitTest({ expectedLimit: 456 });
});
it('should use custom max lines from query if set and it is logs query', async () => {
await runLimitTest({ queryMaxLines: 20, expectedLimit: 20 });
});
it('should use custom max lines from query if set and it is logs query even if it is higher than data source limit', async () => {
await runLimitTest({ queryMaxLines: 500, expectedLimit: 500 });
});
it('should use maxDataPoints if it is metrics query', async () => {
await runLimitTest({ expr: 'rate({label="val"}[10m])', expectedLimit: 123 });
});
it('should use maxDataPoints if it is metrics query and using search', async () => {
await runLimitTest({ expr: 'rate({label="val"}[10m])', expectedLimit: 123 });
});
});
describe('when querying', () => {
function setup(expr: string, app: CoreApp, instant?: boolean, range?: boolean) {
const ds = createLokiDSForTests();
const options = getQueryOptions<LokiQuery>({
targets: [{ expr, refId: 'B', instant, range }],
app,
});
ds.runInstantQuery = jest.fn(() => of({ data: [] }));
ds.runRangeQuery = jest.fn(() => of({ data: [] }));
return { ds, options };
}
const metricsQuery = 'rate({job="grafana"}[10m])';
const logsQuery = '{job="grafana"} |= "foo"';
it('should run logs instant if only instant is selected', async () => {
const { ds, options } = setup(logsQuery, CoreApp.Explore, true, false);
await lastValueFrom(ds.query(options));
expect(ds.runInstantQuery).toBeCalled();
expect(ds.runRangeQuery).not.toBeCalled();
});
it('should run metrics instant if only instant is selected', async () => {
const { ds, options } = setup(metricsQuery, CoreApp.Explore, true, false);
lastValueFrom(await ds.query(options));
expect(ds.runInstantQuery).toBeCalled();
expect(ds.runRangeQuery).not.toBeCalled();
});
it('should run only logs range query if only range is selected', async () => {
const { ds, options } = setup(logsQuery, CoreApp.Explore, false, true);
lastValueFrom(await ds.query(options));
expect(ds.runInstantQuery).not.toBeCalled();
expect(ds.runRangeQuery).toBeCalled();
});
it('should run only metrics range query if only range is selected', async () => {
const { ds, options } = setup(metricsQuery, CoreApp.Explore, false, true);
lastValueFrom(await ds.query(options));
expect(ds.runInstantQuery).not.toBeCalled();
expect(ds.runRangeQuery).toBeCalled();
});
it('should run only logs range query if no query type is selected in Explore', async () => {
const { ds, options } = setup(logsQuery, CoreApp.Explore);
lastValueFrom(await ds.query(options));
expect(ds.runInstantQuery).not.toBeCalled();
expect(ds.runRangeQuery).toBeCalled();
});
it('should run only metrics range query if no query type is selected in Explore', async () => {
const { ds, options } = setup(metricsQuery, CoreApp.Explore);
lastValueFrom(await ds.query(options));
expect(ds.runInstantQuery).not.toBeCalled();
expect(ds.runRangeQuery).toBeCalled();
});
it('should run only logs range query in Dashboard', async () => {
const { ds, options } = setup(logsQuery, CoreApp.Dashboard);
lastValueFrom(await ds.query(options));
expect(ds.runInstantQuery).not.toBeCalled();
expect(ds.runRangeQuery).toBeCalled();
});
it('should run only metrics range query in Dashboard', async () => {
const { ds, options } = setup(metricsQuery, CoreApp.Dashboard);
lastValueFrom(await ds.query(options));
expect(ds.runInstantQuery).not.toBeCalled();
expect(ds.runRangeQuery).toBeCalled();
});
it('should return series data for metrics range queries', async () => {
const ds = createLokiDSForTests();
const options = getQueryOptions<LokiQuery>({
targets: [{ expr: metricsQuery, refId: 'B', range: true }],
app: CoreApp.Explore,
});
fetchMock.mockImplementation(() => of(testMetricsResponse));
await expect(ds.query(options)).toEmitValuesWith((received) => {
const result = received[0];
const timeSeries = result.data[0] as TimeSeries;
expect(timeSeries.meta?.preferredVisualisationType).toBe('graph');
expect(timeSeries.refId).toBe('B');
expect(timeSeries.datapoints[0]).toEqual([1.1, 1605715380000]);
});
});
it('should return series data for logs range query', async () => {
const ds = createLokiDSForTests();
const options = getQueryOptions<LokiQuery>({
targets: [{ expr: logsQuery, refId: 'B' }],
});
fetchMock.mockImplementation(() => of(testLogsResponse));
await expect(ds.query(options)).toEmitValuesWith((received) => {
const result = received[0];
const dataFrame = result.data[0] as DataFrame;
const fieldCache = new FieldCache(dataFrame);
expect(fieldCache.getFieldByName('line')?.values.get(0)).toBe('hello');
expect(dataFrame.meta?.limit).toBe(20);
expect(dataFrame.meta?.searchWords).toEqual(['foo']);
});
});
it('should return custom error message when Loki returns escaping error', async () => {
const ds = createLokiDSForTests();
const options = getQueryOptions<LokiQuery>({
targets: [{ expr: '{job="gra\\fana"}', refId: 'B' }],
});
fetchMock.mockImplementation(() =>
throwError({
data: {
message: 'parse error at line 1, col 6: invalid char escape',
},
status: 400,
statusText: 'Bad Request',
})
);
await expect(ds.query(options)).toEmitValuesWith((received) => {
const err: any = received[0];
expect(err.data.message).toBe(
'Error: parse error at line 1, col 6: invalid char escape. Make sure that all special characters are escaped with \\. For more information on escaping of special characters visit LogQL documentation at https://grafana.com/docs/loki/latest/logql/.'
);
});
});
describe('When using adhoc filters', () => {
const DEFAULT_EXPR = 'rate({bar="baz", job="foo"} |= "bar" [5m])';
const options = {
targets: [{ expr: DEFAULT_EXPR }],
};
const originalAdhocFiltersMock = templateSrvStub.getAdhocFilters();
const ds = new LokiDatasource({} as any, templateSrvStub as any, timeSrvStub as any);
ds.runRangeQuery = jest.fn(() => of({ data: [] }));
afterAll(() => {
templateSrvStub.getAdhocFilters.mockReturnValue(originalAdhocFiltersMock);
});
it('should not modify expression with no filters', async () => {
await lastValueFrom(ds.query(options as any));
expect(ds.runRangeQuery).toBeCalledWith({ expr: DEFAULT_EXPR }, expect.anything(), expect.anything());
});
it('should add filters to expression', async () => {
templateSrvStub.getAdhocFilters.mockReturnValue([
{
key: 'k1',
operator: '=',
value: 'v1',
},
{
key: 'k2',
operator: '!=',
value: 'v2',
},
]);
await lastValueFrom(ds.query(options as any));
expect(ds.runRangeQuery).toBeCalledWith(
{ expr: 'rate({bar="baz",job="foo",k1="v1",k2!="v2"} |= "bar" [5m])' },
expect.anything(),
expect.anything()
);
});
it('should add escaping if needed to regex filter expressions', async () => {
templateSrvStub.getAdhocFilters.mockReturnValue([
{
key: 'k1',
operator: '=~',
value: 'v.*',
},
{
key: 'k2',
operator: '=~',
value: `v'.*`,
},
]);
await lastValueFrom(ds.query(options as any));
expect(ds.runRangeQuery).toBeCalledWith(
{ expr: 'rate({bar="baz",job="foo",k1=~"v.*",k2=~"v\\\\\'.*"} |= "bar" [5m])' },
expect.anything(),
expect.anything()
);
});
});
describe('__range, __range_s and __range_ms variables', () => {
const options = {
targets: [{ expr: 'rate(process_cpu_seconds_total[$__range])', refId: 'A', stepInterval: '2s' }],
range: {
from: rawRange.from,
to: rawRange.to,
raw: rawRange,
},
};
const ds = new LokiDatasource({} as any, templateSrvStub as any, timeSrvStub as any);
beforeEach(() => {
templateSrvStub.replace.mockClear();
});
it('should be correctly interpolated', () => {
ds.query(options as any);
const range = templateSrvStub.replace.mock.calls[0][1].__range;
const rangeMs = templateSrvStub.replace.mock.calls[0][1].__range_ms;
const rangeS = templateSrvStub.replace.mock.calls[0][1].__range_s;
expect(range).toEqual({ text: '3600s', value: '3600s' });
expect(rangeMs).toEqual({ text: 3600000, value: 3600000 });
expect(rangeS).toEqual({ text: 3600, value: 3600 });
});
});
});
describe('when interpolating variables', () => {
let ds: LokiDatasource;
let variable: CustomVariableModel;
beforeEach(() => {
ds = createLokiDSForTests();
variable = { ...initialCustomVariableModelState };
});
it('should only escape single quotes', () => {
expect(ds.interpolateQueryExpr("abc'$^*{}[]+?.()|", variable)).toEqual("abc\\\\'$^*{}[]+?.()|");
});
it('should return a number', () => {
expect(ds.interpolateQueryExpr(1000, variable)).toEqual(1000);
});
describe('and variable allows multi-value', () => {
beforeEach(() => {
variable.multi = true;
});
it('should regex escape values if the value is a string', () => {
expect(ds.interpolateQueryExpr('looking*glass', variable)).toEqual('looking\\\\*glass');
});
it('should return pipe separated values if the value is an array of strings', () => {
expect(ds.interpolateQueryExpr(['a|bc', 'de|f'], variable)).toEqual('a\\\\|bc|de\\\\|f');
});
});
describe('and variable allows all', () => {
beforeEach(() => {
variable.includeAll = true;
});
it('should regex escape values if the array is a string', () => {
expect(ds.interpolateQueryExpr('looking*glass', variable)).toEqual('looking\\\\*glass');
});
it('should return pipe separated values if the value is an array of strings', () => {
expect(ds.interpolateQueryExpr(['a|bc', 'de|f'], variable)).toEqual('a\\\\|bc|de\\\\|f');
});
});
});
describe('when performing testDataSource', () => {
describe('and call succeeds', () => {
it('should return successfully', async () => {
fetchMock.mockImplementation(() => of(createFetchResponse({ values: ['avalue'] })));
const ds = createLokiDSForTests({} as TemplateSrv);
const result = await ds.testDatasource();
expect(result.status).toBe('success');
});
});
describe('and call fails with 401 error', () => {
it('should return error status and a detailed error message', async () => {
fetchMock.mockImplementation(() =>
throwError({
statusText: 'Unauthorized',
status: 401,
data: {
message: 'Unauthorized',
},
})
);
const ds = createLokiDSForTests({} as TemplateSrv);
const result = await ds.testDatasource();
expect(result.status).toEqual('error');
expect(result.message).toBe('Loki: Unauthorized. 401. Unauthorized');
});
});
describe('and call fails with 404 error', () => {
it('should return error status and a detailed error message', async () => {
fetchMock.mockImplementation(() =>
throwError({
statusText: 'Not found',
status: 404,
data: {
message: '404 page not found',
},
})
);
const ds = createLokiDSForTests({} as TemplateSrv);
const result = await ds.testDatasource();
expect(result.status).toEqual('error');
expect(result.message).toBe('Loki: Not found. 404. 404 page not found');
});
});
describe('and call fails with 502 error', () => {
it('should return error status and a detailed error message', async () => {
fetchMock.mockImplementation(() =>
throwError({
statusText: 'Bad Gateway',
status: 502,
data: '',
})
);
const ds = createLokiDSForTests({} as TemplateSrv);
const result = await ds.testDatasource();
expect(result.status).toEqual('error');
expect(result.message).toBe('Loki: Bad Gateway. 502');
});
});
});
describe('when calling annotationQuery', () => {
const getTestContext = (response: any, options: any = []) => {
const query = makeAnnotationQueryRequest(options);
fetchMock.mockImplementation(() => of(response));
const ds = createLokiDSForTests();
const promise = ds.annotationQuery(query);
return { promise };
};
it('should transform the loki data to annotation response', async () => {
const response: FetchResponse = ({
data: {
data: {
resultType: LokiResultType.Stream,
result: [
{
stream: {
label: 'value',
label2: 'value ',
},
values: [['1549016857498000000', 'hello']],
},
{
stream: {
label: '', // empty value gets filtered
label2: 'value2',
label3: ' ', // whitespace value gets trimmed then filtered
},
values: [['1549024057498000000', 'hello 2']],
},
],
},
status: 'success',
},
} as unknown) as FetchResponse;
const { promise } = getTestContext(response, { stepInterval: '15s' });
const res = await promise;
expect(res.length).toBe(2);
expect(res[0].text).toBe('hello');
expect(res[0].tags).toEqual(['value']);
expect(res[1].text).toBe('hello 2');
expect(res[1].tags).toEqual(['value2']);
});
describe('Formatting', () => {
const response: FetchResponse = ({
data: {
data: {
resultType: LokiResultType.Stream,
result: [
{
stream: {
label: 'value',
label2: 'value2',
label3: 'value3',
},
values: [['1549016857498000000', 'hello']],
},
],
},
status: 'success',
},
} as unknown) as FetchResponse;
describe('When tagKeys is set', () => {
it('should only include selected labels', async () => {
const { promise } = getTestContext(response, { tagKeys: 'label2,label3', stepInterval: '15s' });
const res = await promise;
expect(res.length).toBe(1);
expect(res[0].text).toBe('hello');
expect(res[0].tags).toEqual(['value2', 'value3']);
});
});
describe('When textFormat is set', () => {
it('should fromat the text accordingly', async () => {
const { promise } = getTestContext(response, { textFormat: 'hello {{label2}}', stepInterval: '15s' });
const res = await promise;
expect(res.length).toBe(1);
expect(res[0].text).toBe('hello value2');
});
});
describe('When titleFormat is set', () => {
it('should fromat the title accordingly', async () => {
const { promise } = getTestContext(response, { titleFormat: 'Title {{label2}}', stepInterval: '15s' });
const res = await promise;
expect(res.length).toBe(1);
expect(res[0].title).toBe('Title value2');
expect(res[0].text).toBe('hello');
});
});
});
});
describe('metricFindQuery', () => {
const getTestContext = (mock: LokiDatasource) => {
const ds = createLokiDSForTests();
ds.metadataRequest = mock.metadataRequest;
return { ds };
};
const mock = makeMockLokiDatasource(
{ label1: ['value1', 'value2'], label2: ['value3', 'value4'] },
{ '{label1="value1", label2="value2"}': [{ label5: 'value5' }] }
);
it(`should return label names for Loki`, async () => {
const { ds } = getTestContext(mock);
const res = await ds.metricFindQuery('label_names()');
expect(res).toEqual([{ text: 'label1' }, { text: 'label2' }]);
});
it(`should return label values for Loki when no matcher`, async () => {
const { ds } = getTestContext(mock);
const res = await ds.metricFindQuery('label_values(label1)');
expect(res).toEqual([{ text: 'value1' }, { text: 'value2' }]);
});
it(`should return label values for Loki with matcher`, async () => {
const { ds } = getTestContext(mock);
const res = await ds.metricFindQuery('label_values({label1="value1", label2="value2"},label5)');
expect(res).toEqual([{ text: 'value5' }]);
});
it(`should return empty array when incorrect query for Loki`, async () => {
const { ds } = getTestContext(mock);
const res = await ds.metricFindQuery('incorrect_query');
expect(res).toEqual([]);
});
});
describe('modifyQuery', () => {
describe('when called with ADD_FILTER', () => {
describe('and query has no parser', () => {
it('then the correct label should be added for logs query', () => {
const query: LokiQuery = { refId: 'A', expr: '{bar="baz"}' };
const action = { key: 'job', value: 'grafana', type: 'ADD_FILTER' };
const ds = createLokiDSForTests();
const result = ds.modifyQuery(query, action);
expect(result.refId).toEqual('A');
expect(result.expr).toEqual('{bar="baz",job="grafana"}');
});
it('then the correct label should be added for metrics query', () => {
const query: LokiQuery = { refId: 'A', expr: 'rate({bar="baz"}[5m])' };
const action = { key: 'job', value: 'grafana', type: 'ADD_FILTER' };
const ds = createLokiDSForTests();
const result = ds.modifyQuery(query, action);
expect(result.refId).toEqual('A');
expect(result.expr).toEqual('rate({bar="baz",job="grafana"}[5m])');
});
describe('and query has parser', () => {
it('then the correct label should be added for logs query', () => {
const query: LokiQuery = { refId: 'A', expr: '{bar="baz"} | logfmt' };
const action = { key: 'job', value: 'grafana', type: 'ADD_FILTER' };
const ds = createLokiDSForTests();
const result = ds.modifyQuery(query, action);
expect(result.refId).toEqual('A');
expect(result.expr).toEqual('{bar="baz"} | logfmt | job="grafana"');
});
it('then the correct label should be added for metrics query', () => {
const query: LokiQuery = { refId: 'A', expr: 'rate({bar="baz"} | logfmt [5m])' };
const action = { key: 'job', value: 'grafana', type: 'ADD_FILTER' };
const ds = createLokiDSForTests();
const result = ds.modifyQuery(query, action);
expect(result.refId).toEqual('A');
expect(result.expr).toEqual('rate({bar="baz",job="grafana"} | logfmt [5m])');
});
});
});
});
describe('when called with ADD_FILTER_OUT', () => {
describe('and query has no parser', () => {
it('then the correct label should be added for logs query', () => {
const query: LokiQuery = { refId: 'A', expr: '{bar="baz"}' };
const action = { key: 'job', value: 'grafana', type: 'ADD_FILTER_OUT' };
const ds = createLokiDSForTests();
const result = ds.modifyQuery(query, action);
expect(result.refId).toEqual('A');
expect(result.expr).toEqual('{bar="baz",job!="grafana"}');
});
it('then the correct label should be added for metrics query', () => {
const query: LokiQuery = { refId: 'A', expr: 'rate({bar="baz"}[5m])' };
const action = { key: 'job', value: 'grafana', type: 'ADD_FILTER_OUT' };
const ds = createLokiDSForTests();
const result = ds.modifyQuery(query, action);
expect(result.refId).toEqual('A');
expect(result.expr).toEqual('rate({bar="baz",job!="grafana"}[5m])');
});
describe('and query has parser', () => {
it('then the correct label should be added for logs query', () => {
const query: LokiQuery = { refId: 'A', expr: '{bar="baz"} | logfmt' };
const action = { key: 'job', value: 'grafana', type: 'ADD_FILTER_OUT' };
const ds = createLokiDSForTests();
const result = ds.modifyQuery(query, action);
expect(result.refId).toEqual('A');
expect(result.expr).toEqual('{bar="baz"} | logfmt | job!="grafana"');
});
it('then the correct label should be added for metrics query', () => {
const query: LokiQuery = { refId: 'A', expr: 'rate({bar="baz"} | logfmt [5m])' };
const action = { key: 'job', value: 'grafana', type: 'ADD_FILTER_OUT' };
const ds = createLokiDSForTests();
const result = ds.modifyQuery(query, action);
expect(result.refId).toEqual('A');
expect(result.expr).toEqual('rate({bar="baz",job!="grafana"} | logfmt [5m])');
});
});
});
});
});
describe('addAdHocFilters', () => {
let ds: LokiDatasource;
let adHocFilters: AdHocFilter[];
describe('when called with "=" operator', () => {
beforeEach(() => {
adHocFilters = [
{
condition: '',
key: 'job',
operator: '=',
value: 'grafana',
},
];
const templateSrvMock = ({
getAdhocFilters: (): AdHocFilter[] => adHocFilters,
replace: (a: string) => a,
} as unknown) as TemplateSrv;
ds = createLokiDSForTests(templateSrvMock);
});
describe('and query has no parser', () => {
it('then the correct label should be added for logs query', () => {
assertAdHocFilters('{bar="baz"}', '{bar="baz",job="grafana"}', ds);
});
it('then the correct label should be added for metrics query', () => {
assertAdHocFilters('rate({bar="baz"}[5m])', 'rate({bar="baz",job="grafana"}[5m])', ds);
});
});
describe('and query has parser', () => {
it('then the correct label should be added for logs query', () => {
assertAdHocFilters('{bar="baz"} | logfmt', '{bar="baz"} | logfmt | job="grafana"', ds);
});
it('then the correct label should be added for metrics query', () => {
assertAdHocFilters('rate({bar="baz"} | logfmt [5m])', 'rate({bar="baz",job="grafana"} | logfmt [5m])', ds);
});
});
});
describe('when called with "!=" operator', () => {
beforeEach(() => {
adHocFilters = [
{
condition: '',
key: 'job',
operator: '!=',
value: 'grafana',
},
];
const templateSrvMock = ({
getAdhocFilters: (): AdHocFilter[] => adHocFilters,
replace: (a: string) => a,
} as unknown) as TemplateSrv;
ds = createLokiDSForTests(templateSrvMock);
});
describe('and query has no parser', () => {
it('then the correct label should be added for logs query', () => {
assertAdHocFilters('{bar="baz"}', '{bar="baz",job!="grafana"}', ds);
});
it('then the correct label should be added for metrics query', () => {
assertAdHocFilters('rate({bar="baz"}[5m])', 'rate({bar="baz",job!="grafana"}[5m])', ds);
});
});
describe('and query has parser', () => {
it('then the correct label should be added for logs query', () => {
assertAdHocFilters('{bar="baz"} | logfmt', '{bar="baz"} | logfmt | job!="grafana"', ds);
});
it('then the correct label should be added for metrics query', () => {
assertAdHocFilters('rate({bar="baz"} | logfmt [5m])', 'rate({bar="baz",job!="grafana"} | logfmt [5m])', ds);
});
});
});
});
describe('adjustInterval', () => {
const dynamicInterval = 15;
const range = 1642;
const resolution = 1;
const ds = createLokiDSForTests();
it('should return the interval as a factor of dynamicInterval and resolution', () => {
let interval = ds.adjustInterval(dynamicInterval, resolution, range);
expect(interval).toBe(resolution * dynamicInterval);
});
it('should not return a value less than the safe interval', () => {
let safeInterval = range / 11000;
if (safeInterval > 1) {
safeInterval = Math.ceil(safeInterval);
}
const unsafeInterval = safeInterval - 0.01;
let interval = ds.adjustInterval(unsafeInterval, resolution, range);
expect(interval).toBeGreaterThanOrEqual(safeInterval);
});
});
describe('prepareLogRowContextQueryTarget', () => {
const ds = createLokiDSForTests();
it('creates query with only labels from /labels API', () => {
const row: LogRowModel = {
rowIndex: 0,
dataFrame: new MutableDataFrame({
fields: [
{
name: 'tsNs',
type: FieldType.string,
values: ['0'],
},
],
}),
labels: { bar: 'baz', foo: 'uniqueParsedLabel' },
uid: '1',
} as any;
//Mock stored labels to only include "bar" label
jest.spyOn(ds.languageProvider, 'getLabelKeys').mockImplementation(() => ['bar']);
const contextQuery = ds.prepareLogRowContextQueryTarget(row, 10, 'BACKWARD');
expect(contextQuery.expr).toContain('baz');
expect(contextQuery.expr).not.toContain('uniqueParsedLabel');
});
});
describe('logs volume data provider', () => {
it('creates provider for logs query', () => {
const ds = createLokiDSForTests();
const options = getQueryOptions<LokiQuery>({
targets: [{ expr: '{label=value}', refId: 'A' }],
});
expect(ds.getLogsVolumeDataProvider(options)).toBeDefined();
});
it('does not create provider for metrics query', () => {
const ds = createLokiDSForTests();
const options = getQueryOptions<LokiQuery>({
targets: [{ expr: 'rate({label=value}[1m])', refId: 'A' }],
});
expect(ds.getLogsVolumeDataProvider(options)).not.toBeDefined();
});
it('creates provider if at least one query is a logs query', () => {
const ds = createLokiDSForTests();
const options = getQueryOptions<LokiQuery>({
targets: [
{ expr: 'rate({label=value}[1m])', refId: 'A' },
{ expr: '{label=value}', refId: 'B' },
],
});
expect(ds.getLogsVolumeDataProvider(options)).toBeDefined();
});
});
});
function assertAdHocFilters(query: string, expectedResults: string, ds: LokiDatasource) {
const lokiQuery: LokiQuery = { refId: 'A', expr: query };
const result = ds.addAdHocFilters(lokiQuery.expr);
expect(result).toEqual(expectedResults);
}
function createLokiDSForTests(
templateSrvMock = ({
getAdhocFilters: (): any[] => [],
replace: (a: string) => a,
} as unknown) as TemplateSrv
): LokiDatasource {
const instanceSettings: any = {
url: 'myloggingurl',
};
const customData = { ...(instanceSettings.jsonData || {}), maxLines: 20 };
const customSettings = { ...instanceSettings, jsonData: customData };
return new LokiDatasource(customSettings, templateSrvMock, timeSrvStub as any);
}
function makeAnnotationQueryRequest(options: any): AnnotationQueryRequest<LokiQuery> {
const timeRange = {
from: dateTime(),
to: dateTime(),
};
return {
annotation: {
expr: '{test=test}',
refId: '',
datasource: 'loki',
enable: true,
name: 'test-annotation',
iconColor: 'red',
...options,
},
dashboard: {
id: 1,
} as any,
range: {
...timeRange,
raw: timeRange,
},
rangeRaw: timeRange,
};
}