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grafana/public/app/core/logsModel_parse.test.ts
Gábor Farkas 4548b0d9fc
logs: better nanosecond handling (#70878) 
* logs: simplify code

* refactor

* handle nanoseconds
2023-06-29 15:33:41 +02:00

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import { DataFrame, FieldType, dateTimeFormatISO, DateTimeInput, DateTimeOptions } from '@grafana/data';
import { logSeriesToLogsModel } from './logsModel';
jest.mock('@grafana/data', () => ({
...jest.requireActual('@grafana/data'),
// this produces relative time, so the test-results would keep changing,
// so we have to mock it
dateTimeFormatTimeAgo: (p1: DateTimeInput, p2?: DateTimeOptions) =>
`mock:dateTimeFormatTimeAgo:${dateTimeFormatISO(p1, p2)}`,
}));
describe('logSeriesToLogsModel should parse different logs-dataframe formats', () => {
it('should parse old Loki-style (grafana8.x) frames ( multi-frame )', () => {
const frames: DataFrame[] = [
{
meta: {},
refId: 'A',
fields: [
{
name: 'ts',
type: FieldType.time,
config: { displayName: 'Time' },
values: ['2023-06-07T12:18:36.839Z'],
},
{
name: 'line',
type: FieldType.string,
config: {},
values: ['line1'],
labels: {
counter: '34543',
label: 'val3',
level: 'info',
},
},
{
name: 'id',
type: FieldType.string,
config: {},
values: ['id1'],
},
{
name: 'tsNs',
type: FieldType.time,
config: { displayName: 'Time ns' },
values: ['1686140316839544212'],
},
],
length: 1,
},
{
meta: {},
refId: 'A',
fields: [
{
name: 'ts',
type: FieldType.time,
config: { displayName: 'Time' },
values: ['2023-06-07T12:18:34.632Z'],
},
{
name: 'line',
type: FieldType.string,
config: {},
values: ['line2'],
labels: {
counter: '34540',
label: 'val3',
level: 'error',
},
},
{
name: 'id',
type: FieldType.string,
config: {},
values: ['id2'],
},
{
name: 'tsNs',
type: FieldType.time,
config: { displayName: 'Time ns' },
values: ['1686140314632163066'],
},
],
length: 1,
},
{
meta: {},
refId: 'A',
fields: [
{
name: 'ts',
type: FieldType.time,
config: { displayName: 'Time' },
values: ['2023-06-07T12:18:35.565Z'],
},
{
name: 'line',
type: FieldType.string,
config: {},
values: ['line3'],
labels: {
counter: '34541',
label: 'val3',
level: 'error',
},
},
{
name: 'id',
type: FieldType.string,
config: {},
values: ['id3'],
},
{
name: 'tsNs',
type: FieldType.time,
config: { displayName: 'Time ns' },
values: ['1686140315565682856'],
},
],
length: 1,
},
];
const expected = {
hasUniqueLabels: true,
meta: [
{
kind: 2,
label: 'Common labels',
value: {
label: 'val3',
},
},
],
rows: [
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line1',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {
counter: '34543',
label: 'val3',
level: 'info',
},
logLevel: 'info',
raw: 'line1',
rowIndex: 0,
searchWords: [],
timeEpochMs: 1686140316839,
timeEpochNs: '1686140316839544212',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:18:36-06:00',
timeLocal: '2023-06-07 06:18:36',
timeUtc: '2023-06-07 12:18:36',
uid: 'A_id1',
uniqueLabels: {
counter: '34543',
level: 'info',
},
},
{
dataFrame: frames[1],
datasourceType: undefined,
entry: 'line2',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {
counter: '34540',
label: 'val3',
level: 'error',
},
logLevel: 'error',
raw: 'line2',
rowIndex: 0,
searchWords: [],
timeEpochMs: 1686140314632,
timeEpochNs: '1686140314632163066',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:18:34-06:00',
timeLocal: '2023-06-07 06:18:34',
timeUtc: '2023-06-07 12:18:34',
uid: 'A_id2',
uniqueLabels: {
counter: '34540',
level: 'error',
},
},
{
dataFrame: frames[2],
datasourceType: undefined,
entry: 'line3',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {
counter: '34541',
label: 'val3',
level: 'error',
},
logLevel: 'error',
raw: 'line3',
rowIndex: 0,
searchWords: [],
timeEpochMs: 1686140315565,
timeEpochNs: '1686140315565682856',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:18:35-06:00',
timeLocal: '2023-06-07 06:18:35',
timeUtc: '2023-06-07 12:18:35',
uid: 'A_id3',
uniqueLabels: {
counter: '34541',
level: 'error',
},
},
],
};
expect(logSeriesToLogsModel(frames)).toStrictEqual(expected);
});
it('should parse a Loki-style frame (single-frame, labels-in-json)', () => {
const frames: DataFrame[] = [
{
refId: 'A',
fields: [
{
name: 'labels',
type: FieldType.other,
config: {},
values: [
{
counter: '38141',
label: 'val2',
level: 'warning',
},
{
counter: '38143',
label: 'val2',
level: 'info',
},
{
counter: '38142',
label: 'val3',
level: 'info',
},
],
},
{
name: 'Time',
type: FieldType.time,
config: {},
values: [1686142519756, 1686142520411, 1686142519997],
nanos: [641000, 0, 0],
},
{
name: 'Line',
type: FieldType.string,
config: {},
values: ['line1', 'line2', 'line3'],
},
{
name: 'tsNs',
type: FieldType.string,
config: {},
values: ['1686142519756641000', '1686142520411000000', '1686142519997000000'],
},
{
name: 'id',
type: FieldType.string,
config: {},
values: ['id1', 'id2', 'id3'],
},
],
length: 3,
meta: {
custom: {
frameType: 'LabeledTimeValues',
},
},
},
];
const expected = {
hasUniqueLabels: true,
meta: [],
rows: [
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line1',
entryFieldIndex: 2,
hasAnsi: false,
hasUnescapedContent: false,
labels: {
counter: '38141',
label: 'val2',
level: 'warning',
},
logLevel: 'warning',
raw: 'line1',
rowIndex: 0,
searchWords: [],
timeEpochMs: 1686142519756,
timeEpochNs: '1686142519756641000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:19-06:00',
timeLocal: '2023-06-07 06:55:19',
timeUtc: '2023-06-07 12:55:19',
uid: 'A_id1',
uniqueLabels: {
counter: '38141',
label: 'val2',
level: 'warning',
},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line2',
entryFieldIndex: 2,
hasAnsi: false,
hasUnescapedContent: false,
labels: {
counter: '38143',
label: 'val2',
level: 'info',
},
logLevel: 'info',
raw: 'line2',
rowIndex: 1,
searchWords: [],
timeEpochMs: 1686142520411,
timeEpochNs: '1686142520411000000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:20-06:00',
timeLocal: '2023-06-07 06:55:20',
timeUtc: '2023-06-07 12:55:20',
uid: 'A_id2',
uniqueLabels: {
counter: '38143',
label: 'val2',
level: 'info',
},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line3',
entryFieldIndex: 2,
hasAnsi: false,
hasUnescapedContent: false,
labels: {
counter: '38142',
label: 'val3',
level: 'info',
},
logLevel: 'info',
raw: 'line3',
rowIndex: 2,
searchWords: [],
timeEpochMs: 1686142519997,
timeEpochNs: '1686142519997000000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:19-06:00',
timeLocal: '2023-06-07 06:55:19',
timeUtc: '2023-06-07 12:55:19',
uid: 'A_id3',
uniqueLabels: {
counter: '38142',
label: 'val3',
level: 'info',
},
},
],
};
expect(logSeriesToLogsModel(frames)).toStrictEqual(expected);
});
it('should parse an Elasticsearch-style frame', () => {
const frames: DataFrame[] = [
{
refId: 'A',
meta: {},
fields: [
{
name: '@timestamp',
type: FieldType.time,
config: {},
values: [1686143280325, 1686143279324, 1686143278324],
},
{
name: 'line',
type: FieldType.string,
config: {},
values: ['line1', 'line2', 'line3'],
},
{
name: '_id',
type: FieldType.string,
config: {},
values: ['id1', 'id2', 'id3'],
},
{
name: '_index',
type: FieldType.string,
config: {},
values: ['logs-2023.06.07', 'logs-2023.06.07', 'logs-2023.06.07'],
},
{
name: '_source',
type: FieldType.other,
config: {},
values: [
{
'@timestamp': '2023-06-07T13:08:00.325Z',
counter: '300',
label: 'val2',
level: 'info',
line: 'line1',
shapes: [{ type: 'triangle' }, { type: 'triangle' }, { type: 'triangle' }, { type: 'square' }],
},
{
'@timestamp': '2023-06-07T13:07:59.324Z',
counter: '299',
label: 'val1',
level: 'error',
line: 'line2',
shapes: [{ type: 'triangle' }, { type: 'triangle' }, { type: 'triangle' }, { type: 'square' }],
},
{
'@timestamp': '2023-06-07T13:07:58.324Z',
counter: '298',
label: 'val2',
level: 'error',
line: 'line3',
shapes: [{ type: 'triangle' }, { type: 'triangle' }, { type: 'triangle' }, { type: 'square' }],
},
],
},
{
name: 'counter',
type: FieldType.string,
config: {},
values: ['300', '299', '298'],
},
{
name: 'label',
type: FieldType.string,
config: {},
values: ['val2', 'val1', 'val2'],
},
{
name: 'level',
type: FieldType.string,
config: {},
values: ['info', 'error', 'error'],
},
{
name: 'shapes',
type: FieldType.other,
config: {},
values: [
[{ type: 'triangle' }, { type: 'triangle' }, { type: 'triangle' }, { type: 'square' }],
[{ type: 'triangle' }, { type: 'triangle' }, { type: 'triangle' }, { type: 'square' }],
[{ type: 'triangle' }, { type: 'triangle' }, { type: 'triangle' }, { type: 'square' }],
],
},
],
length: 3,
},
];
const expected = {
hasUniqueLabels: false,
meta: [],
rows: [
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line1',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'info',
raw: 'line1',
rowIndex: 0,
searchWords: [],
timeEpochMs: 1686143280325,
timeEpochNs: '1686143280325000000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T07:08:00-06:00',
timeLocal: '2023-06-07 07:08:00',
timeUtc: '2023-06-07 13:08:00',
uid: 'A_0',
uniqueLabels: {},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line2',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'error',
raw: 'line2',
rowIndex: 1,
searchWords: [],
timeEpochMs: 1686143279324,
timeEpochNs: '1686143279324000000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T07:07:59-06:00',
timeLocal: '2023-06-07 07:07:59',
timeUtc: '2023-06-07 13:07:59',
uid: 'A_1',
uniqueLabels: {},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line3',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'error',
raw: 'line3',
rowIndex: 2,
searchWords: [],
timeEpochMs: 1686143278324,
timeEpochNs: '1686143278324000000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T07:07:58-06:00',
timeLocal: '2023-06-07 07:07:58',
timeUtc: '2023-06-07 13:07:58',
uid: 'A_2',
uniqueLabels: {},
},
],
};
expect(logSeriesToLogsModel(frames)).toStrictEqual(expected);
});
it('should parse timestamps when no nanosecond data and no nanosecond field', () => {
const frames: DataFrame[] = [
{
refId: 'A',
fields: [
{
name: 'timestamp',
type: FieldType.time,
config: {},
values: [1686142519756, 1686142520411, 1686142519997],
},
{
name: 'body',
type: FieldType.string,
config: {},
values: ['line1', 'line2', 'line3'],
},
],
length: 3,
},
];
const expected = {
hasUniqueLabels: false,
meta: [],
rows: [
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line1',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line1',
rowIndex: 0,
searchWords: [],
timeEpochMs: 1686142519756,
timeEpochNs: '1686142519756000000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:19-06:00',
timeLocal: '2023-06-07 06:55:19',
timeUtc: '2023-06-07 12:55:19',
uid: 'A_0',
uniqueLabels: {},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line2',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line2',
rowIndex: 1,
searchWords: [],
timeEpochMs: 1686142520411,
timeEpochNs: '1686142520411000000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:20-06:00',
timeLocal: '2023-06-07 06:55:20',
timeUtc: '2023-06-07 12:55:20',
uid: 'A_1',
uniqueLabels: {},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line3',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line3',
rowIndex: 2,
searchWords: [],
timeEpochMs: 1686142519997,
timeEpochNs: '1686142519997000000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:19-06:00',
timeLocal: '2023-06-07 06:55:19',
timeUtc: '2023-06-07 12:55:19',
uid: 'A_2',
uniqueLabels: {},
},
],
};
expect(logSeriesToLogsModel(frames)).toStrictEqual(expected);
});
it('should parse timestamps when no nanosecond data and nanosecond field', () => {
const frames: DataFrame[] = [
{
refId: 'A',
fields: [
{
name: 'timestamp',
type: FieldType.time,
config: {},
values: [1686142519756, 1686142520411, 1686142519997],
},
{
name: 'body',
type: FieldType.string,
config: {},
values: ['line1', 'line2', 'line3'],
},
{
name: 'tsNs',
type: FieldType.string,
config: {},
values: ['1686142519756641000', '1686142520411000000', '1686142519997123456'],
},
],
length: 3,
},
];
const expected = {
hasUniqueLabels: false,
meta: [],
rows: [
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line1',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line1',
rowIndex: 0,
searchWords: [],
timeEpochMs: 1686142519756,
timeEpochNs: '1686142519756641000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:19-06:00',
timeLocal: '2023-06-07 06:55:19',
timeUtc: '2023-06-07 12:55:19',
uid: 'A_0',
uniqueLabels: {},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line2',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line2',
rowIndex: 1,
searchWords: [],
timeEpochMs: 1686142520411,
timeEpochNs: '1686142520411000000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:20-06:00',
timeLocal: '2023-06-07 06:55:20',
timeUtc: '2023-06-07 12:55:20',
uid: 'A_1',
uniqueLabels: {},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line3',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line3',
rowIndex: 2,
searchWords: [],
timeEpochMs: 1686142519997,
timeEpochNs: '1686142519997123456',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:19-06:00',
timeLocal: '2023-06-07 06:55:19',
timeUtc: '2023-06-07 12:55:19',
uid: 'A_2',
uniqueLabels: {},
},
],
};
expect(logSeriesToLogsModel(frames)).toStrictEqual(expected);
});
it('should parse timestamps when nanosecond data in the time field and no nanosecond field', () => {
const frames: DataFrame[] = [
{
refId: 'A',
fields: [
{
name: 'timestamp',
type: FieldType.time,
config: {},
values: [1686142519756, 1686142520411, 1686142519997],
nanos: [641, 0, 123456],
},
{
name: 'body',
type: FieldType.string,
config: {},
values: ['line1', 'line2', 'line3'],
},
],
length: 3,
},
];
const expected = {
hasUniqueLabels: false,
meta: [],
rows: [
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line1',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line1',
rowIndex: 0,
searchWords: [],
timeEpochMs: 1686142519756,
timeEpochNs: '1686142519756000641',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:19-06:00',
timeLocal: '2023-06-07 06:55:19',
timeUtc: '2023-06-07 12:55:19',
uid: 'A_0',
uniqueLabels: {},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line2',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line2',
rowIndex: 1,
searchWords: [],
timeEpochMs: 1686142520411,
timeEpochNs: '1686142520411000000',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:20-06:00',
timeLocal: '2023-06-07 06:55:20',
timeUtc: '2023-06-07 12:55:20',
uid: 'A_1',
uniqueLabels: {},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line3',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line3',
rowIndex: 2,
searchWords: [],
timeEpochMs: 1686142519997,
timeEpochNs: '1686142519997123456',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:19-06:00',
timeLocal: '2023-06-07 06:55:19',
timeUtc: '2023-06-07 12:55:19',
uid: 'A_2',
uniqueLabels: {},
},
],
};
expect(logSeriesToLogsModel(frames)).toStrictEqual(expected);
});
it('should parse timestamps when both nanosecond data and nanosecond field, the field wins', () => {
// whether the dataframe-field wins or the nanosecond-data in the time-field wins,
// is arbitrary at the end. we simply have to pick one option, and keep doing that.
const frames: DataFrame[] = [
{
refId: 'A',
fields: [
{
name: 'timestamp',
type: FieldType.time,
config: {},
values: [1686142519756, 1686142520411, 1686142519997],
nanos: [1, 2, 3],
},
{
name: 'body',
type: FieldType.string,
config: {},
values: ['line1', 'line2', 'line3'],
},
{
name: 'tsNs',
type: FieldType.string,
config: {},
values: ['1686142519756000004', '1686142520411000005', '1686142519997000006'],
},
],
length: 3,
},
];
const expected = {
hasUniqueLabels: false,
meta: [],
rows: [
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line1',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line1',
rowIndex: 0,
searchWords: [],
timeEpochMs: 1686142519756,
timeEpochNs: '1686142519756000004',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:19-06:00',
timeLocal: '2023-06-07 06:55:19',
timeUtc: '2023-06-07 12:55:19',
uid: 'A_0',
uniqueLabels: {},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line2',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line2',
rowIndex: 1,
searchWords: [],
timeEpochMs: 1686142520411,
timeEpochNs: '1686142520411000005',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:20-06:00',
timeLocal: '2023-06-07 06:55:20',
timeUtc: '2023-06-07 12:55:20',
uid: 'A_1',
uniqueLabels: {},
},
{
dataFrame: frames[0],
datasourceType: undefined,
entry: 'line3',
entryFieldIndex: 1,
hasAnsi: false,
hasUnescapedContent: false,
labels: {},
logLevel: 'unknown',
raw: 'line3',
rowIndex: 2,
searchWords: [],
timeEpochMs: 1686142519997,
timeEpochNs: '1686142519997000006',
timeFromNow: 'mock:dateTimeFormatTimeAgo:2023-06-07T06:55:19-06:00',
timeLocal: '2023-06-07 06:55:19',
timeUtc: '2023-06-07 12:55:19',
uid: 'A_2',
uniqueLabels: {},
},
],
};
expect(logSeriesToLogsModel(frames)).toStrictEqual(expected);
});
});
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