grafana/public/app/plugins/datasource/loki/responseUtils.test.ts
Leon Sorokin b24ba7b7ae
FieldValues: Use plain arrays instead of Vector (part 3 of 2) (#66612)
Co-authored-by: Ryan McKinley <ryantxu@gmail.com>
2023-04-20 17:59:18 +03:00

457 lines
13 KiB
TypeScript

import { cloneDeep } from 'lodash';
import { DataQueryResponse, QueryResultMetaStat, DataFrame, FieldType } from '@grafana/data';
import { getMockFrames } from './mocks';
import {
dataFrameHasLevelLabel,
dataFrameHasLokiError,
extractLevelLikeLabelFromDataFrame,
extractLogParserFromDataFrame,
extractLabelKeysFromDataFrame,
extractUnwrapLabelKeysFromDataFrame,
cloneQueryResponse,
combineResponses,
} from './responseUtils';
const frame: DataFrame = {
length: 1,
fields: [
{
name: 'Time',
config: {},
type: FieldType.time,
values: [1],
},
{
name: 'labels',
config: {},
type: FieldType.other,
values: [{ level: 'info' }],
},
{
name: 'Line',
config: {},
type: FieldType.string,
values: ['line1'],
},
],
};
describe('dataFrameHasParsingError', () => {
it('handles frame with parsing error', () => {
const input = cloneDeep(frame);
input.fields[1].values = [{ level: 'info', __error__: 'error' }];
expect(dataFrameHasLokiError(input)).toBe(true);
});
it('handles frame without parsing error', () => {
const input = cloneDeep(frame);
expect(dataFrameHasLokiError(input)).toBe(false);
});
});
describe('dataFrameHasLevelLabel', () => {
it('returns true if level label is present', () => {
const input = cloneDeep(frame);
input.fields[1].values = [{ level: 'info' }];
expect(dataFrameHasLevelLabel(input)).toBe(true);
});
it('returns false if level label is present', () => {
const input = cloneDeep(frame);
input.fields[1].values = [{ foo: 'bar' }];
expect(dataFrameHasLevelLabel(input)).toBe(false);
});
});
describe('extractLevelLikeLabelFromDataFrame', () => {
it('returns label if lvl label is present', () => {
const input = cloneDeep(frame);
input.fields[1].values = [{ lvl: 'info' }];
expect(extractLevelLikeLabelFromDataFrame(input)).toBe('lvl');
});
it('returns label if level-like label is present', () => {
const input = cloneDeep(frame);
input.fields[1].values = [{ error_level: 'info' }];
expect(extractLevelLikeLabelFromDataFrame(input)).toBe('error_level');
});
it('returns undefined if no level-like label is present', () => {
const input = cloneDeep(frame);
input.fields[1].values = [{ foo: 'info' }];
expect(extractLevelLikeLabelFromDataFrame(input)).toBe(null);
});
});
describe('extractLogParserFromDataFrame', () => {
it('returns false by default', () => {
const input = cloneDeep(frame);
expect(extractLogParserFromDataFrame(input)).toEqual({ hasJSON: false, hasLogfmt: false, hasPack: false });
});
it('identifies JSON', () => {
const input = cloneDeep(frame);
input.fields[2].values = ['{"a":"b"}'];
expect(extractLogParserFromDataFrame(input)).toEqual({ hasJSON: true, hasLogfmt: false, hasPack: false });
});
it('identifies logfmt', () => {
const input = cloneDeep(frame);
input.fields[2].values = ['a=b'];
expect(extractLogParserFromDataFrame(input)).toEqual({ hasJSON: false, hasLogfmt: true, hasPack: false });
});
});
describe('extractLabelKeysFromDataFrame', () => {
it('returns empty by default', () => {
const input = cloneDeep(frame);
input.fields[1].values = [];
expect(extractLabelKeysFromDataFrame(input)).toEqual([]);
});
it('extracts label keys', () => {
const input = cloneDeep(frame);
expect(extractLabelKeysFromDataFrame(input)).toEqual(['level']);
});
});
describe('extractUnwrapLabelKeysFromDataFrame', () => {
it('returns empty by default', () => {
const input = cloneDeep(frame);
input.fields[1].values = [];
expect(extractUnwrapLabelKeysFromDataFrame(input)).toEqual([]);
});
it('extracts possible unwrap label keys', () => {
const input = cloneDeep(frame);
input.fields[1].values = [{ number: 13 }];
expect(extractUnwrapLabelKeysFromDataFrame(input)).toEqual(['number']);
});
});
describe('cloneQueryResponse', () => {
const { logFrameA } = getMockFrames();
const responseA: DataQueryResponse = {
data: [logFrameA],
};
it('clones query responses', () => {
const clonedA = cloneQueryResponse(responseA);
expect(clonedA).not.toBe(responseA);
expect(clonedA).toEqual(clonedA);
});
});
describe('combineResponses', () => {
it('combines logs frames', () => {
const { logFrameA, logFrameB } = getMockFrames();
const responseA: DataQueryResponse = {
data: [logFrameA],
};
const responseB: DataQueryResponse = {
data: [logFrameB],
};
expect(combineResponses(responseA, responseB)).toEqual({
data: [
{
fields: [
{
config: {},
name: 'Time',
type: 'time',
values: [1, 2, 3, 4],
},
{
config: {},
name: 'Line',
type: 'string',
values: ['line3', 'line4', 'line1', 'line2'],
},
{
config: {},
name: 'labels',
type: 'other',
values: [
{
otherLabel: 'other value',
},
{
label: 'value',
},
{
otherLabel: 'other value',
},
],
},
{
config: {},
name: 'tsNs',
type: 'string',
values: ['1000000', '2000000', '3000000', '4000000'],
},
{
config: {},
name: 'id',
type: 'string',
values: ['id3', 'id4', 'id1', 'id2'],
},
],
length: 4,
meta: {
custom: {
frameType: 'LabeledTimeValues',
},
stats: [
{
displayName: 'Summary: total bytes processed',
unit: 'decbytes',
value: 33,
},
],
},
refId: 'A',
},
],
});
});
it('combines metric frames', () => {
const { metricFrameA, metricFrameB } = getMockFrames();
const responseA: DataQueryResponse = {
data: [metricFrameA],
};
const responseB: DataQueryResponse = {
data: [metricFrameB],
};
expect(combineResponses(responseA, responseB)).toEqual({
data: [
{
fields: [
{
config: {},
name: 'Time',
type: 'time',
values: [1000000, 2000000, 3000000, 4000000],
},
{
config: {},
name: 'Value',
type: 'number',
values: [6, 7, 5, 4],
labels: {
level: 'debug',
},
},
],
length: 4,
meta: {
type: 'timeseries-multi',
stats: [
{
displayName: 'Summary: total bytes processed',
unit: 'decbytes',
value: 33,
},
],
},
refId: 'A',
},
],
});
});
it('combines and identifies new frames in the response', () => {
const { metricFrameA, metricFrameB, metricFrameC } = getMockFrames();
const responseA: DataQueryResponse = {
data: [metricFrameA],
};
const responseB: DataQueryResponse = {
data: [metricFrameB, metricFrameC],
};
expect(combineResponses(responseA, responseB)).toEqual({
data: [
{
fields: [
{
config: {},
name: 'Time',
type: 'time',
values: [1000000, 2000000, 3000000, 4000000],
},
{
config: {},
name: 'Value',
type: 'number',
values: [6, 7, 5, 4],
labels: {
level: 'debug',
},
},
],
length: 4,
meta: {
type: 'timeseries-multi',
stats: [
{
displayName: 'Summary: total bytes processed',
unit: 'decbytes',
value: 33,
},
],
},
refId: 'A',
},
metricFrameC,
],
});
});
it('combines frames prioritizing refIds over names', () => {
const { metricFrameA, metricFrameB } = getMockFrames();
const dataFrameA = {
...metricFrameA,
refId: 'A',
name: 'A',
};
const dataFrameB = {
...metricFrameB,
refId: 'B',
name: 'A',
};
const responseA: DataQueryResponse = {
data: [dataFrameA],
};
const responseB: DataQueryResponse = {
data: [dataFrameB],
};
expect(combineResponses(responseA, responseB)).toEqual({
data: [dataFrameA, dataFrameB],
});
});
it('combines frames in a new response instance', () => {
const { metricFrameA, metricFrameB } = getMockFrames();
const responseA: DataQueryResponse = {
data: [metricFrameA],
};
const responseB: DataQueryResponse = {
data: [metricFrameB],
};
expect(combineResponses(null, responseA)).not.toBe(responseA);
expect(combineResponses(null, responseB)).not.toBe(responseB);
});
it('combine when first param has errors', () => {
const { metricFrameA, metricFrameB } = getMockFrames();
const errorA = {
message: 'errorA',
};
const responseA: DataQueryResponse = {
data: [metricFrameA],
error: errorA,
errors: [errorA],
};
const responseB: DataQueryResponse = {
data: [metricFrameB],
};
const combined = combineResponses(responseA, responseB);
expect(combined.data[0].length).toBe(4);
expect(combined.error?.message).toBe('errorA');
expect(combined.errors).toHaveLength(1);
expect(combined.errors?.[0]?.message).toBe('errorA');
});
it('combine when second param has errors', () => {
const { metricFrameA, metricFrameB } = getMockFrames();
const responseA: DataQueryResponse = {
data: [metricFrameA],
};
const errorB = {
message: 'errorB',
};
const responseB: DataQueryResponse = {
data: [metricFrameB],
error: errorB,
errors: [errorB],
};
const combined = combineResponses(responseA, responseB);
expect(combined.data[0].length).toBe(4);
expect(combined.error?.message).toBe('errorB');
expect(combined.errors).toHaveLength(1);
expect(combined.errors?.[0]?.message).toBe('errorB');
});
it('combine when both params have errors', () => {
const { metricFrameA, metricFrameB } = getMockFrames();
const errorA = {
message: 'errorA',
};
const errorB = {
message: 'errorB',
};
const responseA: DataQueryResponse = {
data: [metricFrameA],
error: errorA,
errors: [errorA],
};
const responseB: DataQueryResponse = {
data: [metricFrameB],
error: errorB,
errors: [errorB],
};
const combined = combineResponses(responseA, responseB);
expect(combined.data[0].length).toBe(4);
expect(combined.error?.message).toBe('errorA');
expect(combined.errors).toHaveLength(2);
expect(combined.errors?.[0]?.message).toBe('errorA');
expect(combined.errors?.[1]?.message).toBe('errorB');
});
describe('combine stats', () => {
const { metricFrameA } = getMockFrames();
const makeResponse = (stats?: QueryResultMetaStat[]): DataQueryResponse => ({
data: [
{
...metricFrameA,
meta: {
...metricFrameA.meta,
stats,
},
},
],
});
it('two values', () => {
const responseA = makeResponse([
{ displayName: 'Ingester: total reached', value: 1 },
{ displayName: 'Summary: total bytes processed', unit: 'decbytes', value: 11 },
]);
const responseB = makeResponse([
{ displayName: 'Ingester: total reached', value: 2 },
{ displayName: 'Summary: total bytes processed', unit: 'decbytes', value: 22 },
]);
expect(combineResponses(responseA, responseB).data[0].meta.stats).toStrictEqual([
{ displayName: 'Summary: total bytes processed', unit: 'decbytes', value: 33 },
]);
});
it('one value', () => {
const responseA = makeResponse([
{ displayName: 'Ingester: total reached', value: 1 },
{ displayName: 'Summary: total bytes processed', unit: 'decbytes', value: 11 },
]);
const responseB = makeResponse();
expect(combineResponses(responseA, responseB).data[0].meta.stats).toStrictEqual([
{ displayName: 'Summary: total bytes processed', unit: 'decbytes', value: 11 },
]);
expect(combineResponses(responseB, responseA).data[0].meta.stats).toStrictEqual([
{ displayName: 'Summary: total bytes processed', unit: 'decbytes', value: 11 },
]);
});
it('no value', () => {
const responseA = makeResponse();
const responseB = makeResponse();
expect(combineResponses(responseA, responseB).data[0].meta.stats).toHaveLength(0);
});
});
});