grafana/public/app/features/logs/utils.test.ts

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import {
AbsoluteTimeRange,
FieldType,
Labels,
LogLevel,
LogRowModel,
LogsModel,
LogsSortOrder,
MutableDataFrame,
DataFrame,
} from '@grafana/data';
import {
calculateLogsLabelStats,
calculateStats,
checkLogsError,
getLogLevel,
getLogLevelFromKey,
getLogsVolumeMaximumRange,
logRowsToReadableJson,
mergeLogsVolumeDataFrames,
sortLogsResult,
} from './utils';
describe('getLoglevel()', () => {
it('returns no log level on empty line', () => {
expect(getLogLevel('')).toBe(LogLevel.unknown);
});
it('returns no log level on when level is part of a word', () => {
expect(getLogLevel('who warns us')).toBe(LogLevel.unknown);
});
it('returns same log level for long and short version', () => {
expect(getLogLevel('[Warn]')).toBe(LogLevel.warning);
expect(getLogLevel('[Warning]')).toBe(LogLevel.warning);
expect(getLogLevel('[Warn]')).toBe('warning');
});
it('returns correct log level when level is capitalized', () => {
expect(getLogLevel('WARN')).toBe(LogLevel.warn);
});
it('returns log level on line contains a log level', () => {
expect(getLogLevel('warn: it is looking bad')).toBe(LogLevel.warn);
expect(getLogLevel('2007-12-12 12:12:12 [WARN]: it is looking bad')).toBe(LogLevel.warn);
});
it('returns first log level found', () => {
expect(getLogLevel('WARN this could be a debug message')).toBe(LogLevel.warn);
expect(getLogLevel('WARN this is a non-critical message')).toBe(LogLevel.warn);
});
});
describe('getLogLevelFromKey()', () => {
it('returns correct log level', () => {
expect(getLogLevelFromKey('info')).toBe(LogLevel.info);
});
it('returns correct log level when level is capitalized', () => {
expect(getLogLevelFromKey('INFO')).toBe(LogLevel.info);
});
it('returns unknown log level when level is integer', () => {
expect(getLogLevelFromKey(1)).toBe(LogLevel.unknown);
});
});
describe('calculateLogsLabelStats()', () => {
test('should return no stats for empty rows', () => {
expect(calculateLogsLabelStats([], '')).toEqual([]);
});
test('should return no stats of label is not found', () => {
const rows = [
{
entry: 'foo 1',
labels: {
foo: 'bar',
} as Labels,
},
] as LogRowModel[];
expect(calculateLogsLabelStats(rows, 'baz')).toEqual([]);
});
test('should return stats for found labels', () => {
const rows = [
{
entry: 'foo 1',
labels: {
foo: 'bar',
} as Labels,
},
{
entry: 'foo 0',
labels: {
foo: 'xxx',
} as Labels,
},
{
entry: 'foo 2',
labels: {
foo: 'bar',
} as Labels,
},
] as LogRowModel[];
expect(calculateLogsLabelStats(rows, 'foo')).toMatchObject([
{
value: 'bar',
count: 2,
},
{
value: 'xxx',
count: 1,
},
]);
});
});
describe('calculateStats()', () => {
test('should return no stats for empty array', () => {
expect(calculateStats([])).toEqual([]);
});
test('should return correct stats', () => {
const values = ['one', 'one', null, undefined, 'two'];
expect(calculateStats(values)).toMatchObject([
{
value: 'one',
count: 2,
proportion: 2 / 3,
},
{
value: 'two',
count: 1,
proportion: 1 / 3,
},
]);
});
});
describe('sortLogsResult', () => {
const firstRow: LogRowModel = {
rowIndex: 0,
entryFieldIndex: 0,
dataFrame: new MutableDataFrame(),
entry: '',
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: LogLevel.info,
raw: '',
timeEpochMs: 0,
timeEpochNs: '0',
timeFromNow: '',
timeLocal: '',
timeUtc: '',
uid: '1',
};
const sameAsFirstRow = firstRow;
const secondRow: LogRowModel = {
rowIndex: 1,
entryFieldIndex: 0,
dataFrame: new MutableDataFrame(),
entry: '',
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: LogLevel.info,
raw: '',
timeEpochMs: 10,
timeEpochNs: '10000000',
timeFromNow: '',
timeLocal: '',
timeUtc: '',
uid: '2',
};
describe('when called with LogsSortOrder.Descending', () => {
it('then it should sort descending', () => {
const logsResult: LogsModel = {
rows: [firstRow, sameAsFirstRow, secondRow],
hasUniqueLabels: false,
};
const result = sortLogsResult(logsResult, LogsSortOrder.Descending);
expect(result).toEqual({
rows: [secondRow, firstRow, sameAsFirstRow],
hasUniqueLabels: false,
});
});
});
describe('when called with LogsSortOrder.Ascending', () => {
it('then it should sort ascending', () => {
const logsResult: LogsModel = {
rows: [secondRow, firstRow, sameAsFirstRow],
hasUniqueLabels: false,
};
const result = sortLogsResult(logsResult, LogsSortOrder.Ascending);
expect(result).toEqual({
rows: [firstRow, sameAsFirstRow, secondRow],
hasUniqueLabels: false,
});
});
});
});
describe('checkLogsError()', () => {
const log = {
labels: {
__error__: 'Error Message',
foo: 'boo',
} as Labels,
} as LogRowModel;
test('should return correct error if error is present', () => {
expect(checkLogsError(log)).toStrictEqual({ hasError: true, errorMessage: 'Error Message' });
});
});
describe('logRowsToReadableJson', () => {
const testRow: LogRowModel = {
rowIndex: 1,
entryFieldIndex: 0,
dataFrame: new MutableDataFrame(),
entry: 'test entry',
hasAnsi: false,
hasUnescapedContent: false,
labels: {
foo: 'bar',
},
logLevel: LogLevel.info,
raw: '',
timeEpochMs: 10,
timeEpochNs: '123456789',
timeFromNow: '',
timeLocal: '',
timeUtc: '',
uid: '2',
};
const testDf = new MutableDataFrame();
testDf.addField({ name: 'foo2', values: ['bar2'] });
const testRow2: LogRowModel = {
rowIndex: 0,
entryFieldIndex: -1,
dataFrame: testDf,
entry: 'test entry',
hasAnsi: false,
hasUnescapedContent: false,
labels: {
foo: 'bar',
},
logLevel: LogLevel.info,
raw: '',
timeEpochMs: 10,
timeEpochNs: '123456789',
timeFromNow: '',
timeLocal: '',
timeUtc: '',
uid: '2',
};
it('should format a single row', () => {
const result = logRowsToReadableJson([testRow]);
expect(result).toEqual([{ line: 'test entry', timestamp: '123456789', fields: { foo: 'bar' } }]);
});
it('should format a df field row', () => {
const result = logRowsToReadableJson([testRow2]);
expect(result).toEqual([{ line: 'test entry', timestamp: '123456789', fields: { foo: 'bar', foo2: 'bar2' } }]);
});
});
describe('mergeLogsVolumeDataFrames', () => {
function mockLogVolume(level: string, timestamps: number[], values: number[]): DataFrame {
const frame = new MutableDataFrame();
frame.addField({ name: 'Time', type: FieldType.time, values: timestamps });
frame.addField({ name: 'Value', type: FieldType.number, values, config: { displayNameFromDS: level } });
return frame;
}
it('merges log volumes', () => {
// timestamps: 1 2 3 4 5 6
// info 1: 1 - 1 - - -
// info 2: 2 3 - - - -
// total: 3 3 1 - - -
const infoVolume1 = mockLogVolume('info', [1, 3], [1, 1]);
const infoVolume2 = mockLogVolume('info', [1, 2], [2, 3]);
// debug 1: - 2 3 - - -
// debug 2: 1 - - - 0 -
// total: 1 2 3 - 0 -
const debugVolume1 = mockLogVolume('debug', [2, 3], [2, 3]);
const debugVolume2 = mockLogVolume('debug', [1, 5], [1, 0]);
// error 1: 1 - - - - 1
// error 2: 1 - - - - -
// total: 2 - - - - 1
const errorVolume1 = mockLogVolume('error', [1, 6], [1, 1]);
const errorVolume2 = mockLogVolume('error', [1], [1]);
// all totals: 6 5 4 - 0 2
const { dataFrames: merged, maximum } = mergeLogsVolumeDataFrames([
infoVolume1,
infoVolume2,
debugVolume1,
debugVolume2,
errorVolume1,
errorVolume2,
]);
expect(merged).toHaveLength(3);
expect(merged).toMatchObject([
{
fields: [
{
name: 'Time',
type: FieldType.time,
values: [1, 2, 3],
},
{
name: 'Value',
type: FieldType.number,
values: [3, 3, 1],
config: {
displayNameFromDS: 'info',
},
},
],
},
{
fields: [
{
name: 'Time',
type: FieldType.time,
values: [1, 2, 3, 5],
},
{
name: 'Value',
type: FieldType.number,
values: [1, 2, 3, 0],
config: {
displayNameFromDS: 'debug',
},
},
],
},
{
fields: [
{
name: 'Time',
type: FieldType.time,
values: [1, 6],
},
{
name: 'Value',
type: FieldType.number,
values: [2, 1],
config: {
displayNameFromDS: 'error',
},
},
],
},
]);
expect(maximum).toBe(6);
});
});
describe('getLogsVolumeDimensions', () => {
function mockLogVolumeDataFrame(values: number[], absoluteRange: AbsoluteTimeRange) {
return new MutableDataFrame({
meta: {
custom: {
absoluteRange,
},
},
fields: [
{
name: 'time',
type: FieldType.time,
values: [],
},
{
name: 'value',
type: FieldType.number,
values: values,
},
],
});
}
it('calculates the maximum value and range of all log volumes', () => {
const maximumRange = getLogsVolumeMaximumRange([
mockLogVolumeDataFrame([], { from: 5, to: 20 }),
mockLogVolumeDataFrame([], { from: 10, to: 25 }),
mockLogVolumeDataFrame([], { from: 7, to: 23 }),
]);
expect(maximumRange).toEqual({ from: 5, to: 25 });
});
});