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Logs: Use "labels" data frame field if type "other" in log details (#77806)
* Logs: Use labels field if time other * Keep loki test
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@ -46,15 +46,10 @@ describe('logParser', () => {
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expect(getAllFields(createScenario(-0))).toHaveLength(1);
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});
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it('should filter out field with labels name old-loki-style frame', () => {
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it('should filter out field with labels in frame', () => {
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const logRow = createLogRow({
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entryFieldIndex: 1,
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dataFrame: new MutableDataFrame({
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meta: {
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custom: {
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frameType: 'LabeledTimeValues',
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},
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},
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refId: 'A',
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fields: [
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testTimeField,
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@ -1,6 +1,6 @@
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import { DataFrame, FieldCache, FieldType, Field, Labels, FieldWithIndex } from '@grafana/data';
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import type { LogsFrame } from './logsFrame';
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import { logFrameLabelsToLabels, LogsFrame } from './logsFrame';
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// take the labels from the line-field, and "stretch" it into an array
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// with the length of the frame (so there are the same labels for every row)
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@ -15,7 +15,7 @@ function makeLabelsArray(lineField: Field, length: number): Labels[] | null {
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}
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}
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// we decide if the frame is old-loki-style frame, and adjust the behavior.
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// if the frame has "labels" field with type "other", adjust the behavior.
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// we also have to return the labels-field (if we used it),
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// to be able to remove it from the unused-fields, later.
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function makeLabelsGetter(
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@ -23,11 +23,13 @@ function makeLabelsGetter(
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lineField: Field,
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frame: DataFrame
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): [FieldWithIndex | null, () => Labels[] | null] {
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if (frame.meta?.custom?.frameType === 'LabeledTimeValues') {
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// If we have labels field with type "other", use that
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const labelsField = cache.getFieldByName('labels');
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return labelsField === undefined ? [null, () => null] : [labelsField, () => labelsField.values];
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if (labelsField !== undefined && labelsField.type === FieldType.other) {
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const values = labelsField.values.map(logFrameLabelsToLabels);
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return [labelsField, () => values];
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} else {
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// we use the labels on the line-field, and make an array with it
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// Otherwise we use the labels on the line-field, and make an array with it
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return [null, () => makeLabelsArray(lineField, frame.length)];
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}
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}
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@ -96,6 +96,39 @@ describe('parseLogsFrame should parse different logs-dataframe formats', () => {
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expect(result?.extraFields).toStrictEqual([]);
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});
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it('should parse frames with labels field of type other', () => {
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const time = makeTime('Time', [1687185711795, 1687185711995]);
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const line = makeString('Line', ['line1', 'line2']);
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const id = makeString('id', ['id1', 'id2']);
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const ns = makeString('tsNs', ['1687185711795123456', '1687185711995987654']);
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const labels = makeObject('labels', [
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{ counter: '38141', label: 'val2', level: 'warning' },
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{ counter: '38143', label: 'val2', level: 'info' },
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]);
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const result = parseLogsFrame({
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fields: [labels, time, line, ns, id],
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length: 2,
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});
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expect(result).not.toBeNull();
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expect(result!.timeField.values[0]).toBe(time.values[0]);
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expect(result!.bodyField.values[0]).toBe(line.values[0]);
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expect(result!.idField?.values[0]).toBe(id.values[0]);
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expect(result!.timeNanosecondField?.values[0]).toBe(ns.values[0]);
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expect(result!.severityField).toBeNull();
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expect(result!.getLogFrameLabels()).toStrictEqual([
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{ counter: '38141', label: 'val2', level: 'warning' },
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{ counter: '38143', label: 'val2', level: 'info' },
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]);
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expect(result!.getLogFrameLabelsAsLabels()).toStrictEqual([
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{ counter: '38141', label: 'val2', level: 'warning' },
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{ counter: '38143', label: 'val2', level: 'info' },
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]);
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expect(result?.extraFields).toStrictEqual([]);
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});
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it('should parse a Loki-style frame (single-frame, labels-in-json)', () => {
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const time = makeTime('Time', [1687185711795, 1687185711995]);
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const line = makeString('Line', ['line1', 'line2']);
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@ -145,11 +178,6 @@ describe('parseLogsFrame should parse different logs-dataframe formats', () => {
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const level = makeString('level', ['info', 'error']);
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const result = parseLogsFrame({
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meta: {
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custom: {
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frameType: 'LabeledTimeValues',
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},
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},
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fields: [time, line, source, level, host],
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length: 2,
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});
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@ -436,9 +436,6 @@ describe('dataFrameToLogsModel', () => {
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],
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meta: {
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limit: 1000,
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custom: {
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frameType: 'LabeledTimeValues',
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},
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},
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refId: 'A',
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}),
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@ -516,25 +513,15 @@ describe('dataFrameToLogsModel', () => {
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type: FieldType.string,
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values: ['line1'],
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};
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const meta = {
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custom: {
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frameType: 'LabeledTimeValues',
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},
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};
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const frame1 = new MutableDataFrame({
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meta,
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fields: [labels, time, line],
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});
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const frame2 = new MutableDataFrame({
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meta,
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fields: [time, labels, line],
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});
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const frame3 = new MutableDataFrame({
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meta,
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fields: [time, line, labels],
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});
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@ -373,7 +373,7 @@ describe('logSeriesToLogsModel should parse different logs-dataframe formats', (
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expect(logSeriesToLogsModel(frames)).toStrictEqual(expected);
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});
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it('should parse a Loki-style frame (single-frame, labels-in-json)', () => {
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it('should parse a frame with a labels field (single-frame, labels-in-json)', () => {
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const frames: DataFrame[] = [
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{
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refId: 'A',
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@ -427,11 +427,6 @@ describe('logSeriesToLogsModel should parse different logs-dataframe formats', (
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},
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],
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length: 3,
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meta: {
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custom: {
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frameType: 'LabeledTimeValues',
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},
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},
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},
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];
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