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https://github.com/grafana/grafana.git
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Loki Autocomplete: Suggest only possible labels for unwrap (#61411)
* feat(loki-autocomplete): filter valid labels for unwrap autocomplete suggestions * refactor(unwrap): reuse new function in builder
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@ -6,7 +6,11 @@ import { TypeaheadInput } from '@grafana/ui';
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import LanguageProvider, { LokiHistoryItem } from './LanguageProvider';
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import { LokiDatasource } from './datasource';
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import { createLokiDatasource, createMetadataRequest } from './mocks';
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import { extractLogParserFromDataFrame, extractLabelKeysFromDataFrame } from './responseUtils';
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import {
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extractLogParserFromDataFrame,
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extractLabelKeysFromDataFrame,
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extractUnwrapLabelKeysFromDataFrame,
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} from './responseUtils';
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import { LokiQueryType } from './types';
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jest.mock('./responseUtils');
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@ -304,11 +308,13 @@ describe('Query imports', () => {
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let datasource: LokiDatasource, languageProvider: LanguageProvider;
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const extractLogParserFromDataFrameMock = jest.mocked(extractLogParserFromDataFrame);
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const extractedLabelKeys = ['extracted', 'label'];
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const unwrapLabelKeys = ['unwrap', 'labels'];
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beforeEach(() => {
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datasource = createLokiDatasource();
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languageProvider = new LanguageProvider(datasource);
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jest.mocked(extractLabelKeysFromDataFrame).mockReturnValue(extractedLabelKeys);
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jest.mocked(extractUnwrapLabelKeysFromDataFrame).mockReturnValue(unwrapLabelKeys);
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});
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it('identifies selectors with JSON parser data', async () => {
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@ -317,6 +323,7 @@ describe('Query imports', () => {
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expect(await languageProvider.getParserAndLabelKeys('{place="luna"}')).toEqual({
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extractedLabelKeys,
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unwrapLabelKeys,
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hasJSON: true,
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hasLogfmt: false,
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});
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@ -328,6 +335,7 @@ describe('Query imports', () => {
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expect(await languageProvider.getParserAndLabelKeys('{place="luna"}')).toEqual({
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extractedLabelKeys,
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unwrapLabelKeys,
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hasJSON: false,
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hasLogfmt: true,
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});
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@ -339,6 +347,7 @@ describe('Query imports', () => {
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expect(await languageProvider.getParserAndLabelKeys('{place="luna"}')).toEqual({
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extractedLabelKeys: [],
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unwrapLabelKeys: [],
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hasJSON: false,
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hasLogfmt: false,
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});
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@ -12,7 +12,11 @@ import {
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} from 'app/plugins/datasource/prometheus/language_utils';
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import { LokiDatasource } from './datasource';
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import { extractLabelKeysFromDataFrame, extractLogParserFromDataFrame } from './responseUtils';
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import {
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extractLabelKeysFromDataFrame,
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extractLogParserFromDataFrame,
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extractUnwrapLabelKeysFromDataFrame,
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} from './responseUtils';
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import syntax, { FUNCTIONS, PIPE_PARSERS, PIPE_OPERATORS } from './syntax';
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import { LokiQuery, LokiQueryType } from './types';
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@ -465,15 +469,20 @@ export default class LokiLanguageProvider extends LanguageProvider {
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async getParserAndLabelKeys(
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selector: string
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): Promise<{ extractedLabelKeys: string[]; hasJSON: boolean; hasLogfmt: boolean }> {
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): Promise<{ extractedLabelKeys: string[]; hasJSON: boolean; hasLogfmt: boolean; unwrapLabelKeys: string[] }> {
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const series = await this.datasource.getDataSamples({ expr: selector, refId: 'data-samples' });
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if (!series.length) {
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return { extractedLabelKeys: [], hasJSON: false, hasLogfmt: false };
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return { extractedLabelKeys: [], unwrapLabelKeys: [], hasJSON: false, hasLogfmt: false };
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}
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const { hasLogfmt, hasJSON } = extractLogParserFromDataFrame(series[0]);
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return { extractedLabelKeys: extractLabelKeysFromDataFrame(series[0]), hasJSON, hasLogfmt };
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return {
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extractedLabelKeys: extractLabelKeysFromDataFrame(series[0]),
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unwrapLabelKeys: extractUnwrapLabelKeysFromDataFrame(series[0]),
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hasJSON,
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hasLogfmt,
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};
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}
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}
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@ -50,6 +50,7 @@ const otherLabels: Label[] = [
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const seriesLabels = { place: ['series', 'labels'], source: [], other: [] };
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const parserAndLabelKeys = {
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extractedLabelKeys: ['extracted', 'label', 'keys'],
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unwrapLabelKeys: ['unwrap', 'labels'],
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hasJSON: true,
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hasLogfmt: false,
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};
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@ -31,6 +31,7 @@ const labelNames = ['place', 'source'];
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const labelValues = ['moon', 'luna', 'server\\1'];
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// Source is duplicated to test handling duplicated labels
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const extractedLabelKeys = ['extracted', 'place', 'source'];
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const unwrapLabelKeys = ['unwrap', 'labels'];
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const otherLabels: Label[] = [
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{
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name: 'place',
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@ -195,6 +196,7 @@ describe('getCompletions', () => {
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jest.spyOn(completionProvider, 'getLabelValues').mockResolvedValue(labelValues);
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jest.spyOn(completionProvider, 'getParserAndLabelKeys').mockResolvedValue({
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extractedLabelKeys,
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unwrapLabelKeys,
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hasJSON: false,
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hasLogfmt: false,
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});
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@ -327,6 +329,7 @@ describe('getCompletions', () => {
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async (afterPipe: boolean, hasSpace: boolean) => {
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jest.spyOn(completionProvider, 'getParserAndLabelKeys').mockResolvedValue({
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extractedLabelKeys,
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unwrapLabelKeys,
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hasJSON: true,
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hasLogfmt: false,
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});
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@ -343,6 +346,7 @@ describe('getCompletions', () => {
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async (afterPipe: boolean) => {
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jest.spyOn(completionProvider, 'getParserAndLabelKeys').mockResolvedValue({
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extractedLabelKeys,
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unwrapLabelKeys,
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hasJSON: false,
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hasLogfmt: true,
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});
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@ -368,7 +372,20 @@ describe('getCompletions', () => {
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const extractedCompletions = completions.filter((completion) => completion.type === 'LABEL_NAME');
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const functionCompletions = completions.filter((completion) => completion.type === 'FUNCTION');
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expect(extractedCompletions).toHaveLength(3);
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expect(extractedCompletions).toEqual([
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{
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insertText: 'unwrap',
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label: 'unwrap',
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triggerOnInsert: false,
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type: 'LABEL_NAME',
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},
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{
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insertText: 'labels',
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label: 'labels',
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triggerOnInsert: false,
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type: 'LABEL_NAME',
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},
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]);
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expect(functionCompletions).toHaveLength(3);
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});
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});
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@ -273,9 +273,9 @@ async function getAfterUnwrapCompletions(
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logQuery: string,
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dataProvider: CompletionDataProvider
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): Promise<Completion[]> {
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const { extractedLabelKeys } = await dataProvider.getParserAndLabelKeys(logQuery);
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const { unwrapLabelKeys } = await dataProvider.getParserAndLabelKeys(logQuery);
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const labelCompletions: Completion[] = extractedLabelKeys.map((label) => ({
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const labelCompletions: Completion[] = unwrapLabelKeys.map((label) => ({
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type: 'LABEL_NAME',
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label,
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insertText: label,
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@ -1,14 +1,13 @@
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import { isNaN } from 'lodash';
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import React, { useState } from 'react';
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import { isValidGoDuration, SelectableValue, toOption } from '@grafana/data';
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import { SelectableValue, toOption } from '@grafana/data';
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import { Select } from '@grafana/ui';
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import { getOperationParamId } from '../../../prometheus/querybuilder/shared/operationUtils';
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import { QueryBuilderOperationParamEditorProps } from '../../../prometheus/querybuilder/shared/types';
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import { LokiDatasource } from '../../datasource';
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import { isBytesString } from '../../languageUtils';
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import { getLogQueryFromMetricsQuery, isValidQuery } from '../../queryUtils';
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import { extractUnwrapLabelKeysFromDataFrame } from '../../responseUtils';
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import { lokiQueryModeller } from '../LokiQueryModeller';
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import { LokiVisualQuery } from '../types';
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@ -62,30 +61,7 @@ async function loadUnwrapOptions(
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}
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const samples = await datasource.getDataSamples({ expr: logExpr, refId: 'unwrap_samples' });
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const labelsArray: Array<{ [key: string]: string }> | undefined =
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samples[0]?.fields?.find((field) => field.name === 'labels')?.values.toArray() ?? [];
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if (!labelsArray || labelsArray.length === 0) {
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return [];
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}
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// We do this only for first label object, because we want to consider only labels that are present in all log lines
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// possibleUnwrapLabels are labels with 1. number value OR 2. value that is valid go duration OR 3. bytes string value
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const possibleUnwrapLabels = Object.keys(labelsArray[0]).filter((key) => {
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const value = labelsArray[0][key];
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if (!value) {
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return false;
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}
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return !isNaN(Number(value)) || isValidGoDuration(value) || isBytesString(value);
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});
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const unwrapLabels: string[] = [];
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for (const label of possibleUnwrapLabels) {
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// Add only labels that are present in every line to unwrapLabels
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if (labelsArray.every((obj) => obj[label])) {
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unwrapLabels.push(label);
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}
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}
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const unwrapLabels = extractUnwrapLabelKeysFromDataFrame(samples[0]);
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const labelOptions = unwrapLabels.map((label) => ({
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label,
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@ -8,6 +8,7 @@ import {
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extractLevelLikeLabelFromDataFrame,
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extractLogParserFromDataFrame,
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extractLabelKeysFromDataFrame,
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extractUnwrapLabelKeysFromDataFrame,
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} from './responseUtils';
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const frame: DataFrame = {
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@ -105,3 +106,16 @@ describe('extractLabelKeysFromDataFrame', () => {
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expect(extractLabelKeysFromDataFrame(input)).toEqual(['level']);
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});
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});
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describe('extractUnwrapLabelKeysFromDataFrame', () => {
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it('returns empty by default', () => {
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const input = cloneDeep(frame);
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input.fields[1].values = new ArrayVector([]);
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expect(extractUnwrapLabelKeysFromDataFrame(input)).toEqual([]);
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});
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it('extracts possible unwrap label keys', () => {
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const input = cloneDeep(frame);
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input.fields[1].values = new ArrayVector([{ number: 13 }]);
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expect(extractUnwrapLabelKeysFromDataFrame(input)).toEqual(['number']);
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});
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});
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@ -1,7 +1,9 @@
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import { DataFrame, FieldType, Labels } from '@grafana/data';
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import { DataFrame, FieldType, isValidGoDuration, Labels } from '@grafana/data';
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import { isLogLineJSON, isLogLineLogfmt } from './lineParser';
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import { isBytesString } from './languageUtils';
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export function dataFrameHasLokiError(frame: DataFrame): boolean {
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const labelSets: Labels[] = frame.fields.find((f) => f.name === 'labels')?.values.toArray() ?? [];
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return labelSets.some((labels) => labels.__error__ !== undefined);
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@ -46,6 +48,28 @@ export function extractLabelKeysFromDataFrame(frame: DataFrame): string[] {
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return Object.keys(labelsArray[0]);
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}
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export function extractUnwrapLabelKeysFromDataFrame(frame: DataFrame): string[] {
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const labelsArray: Array<{ [key: string]: string }> | undefined =
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frame?.fields?.find((field) => field.name === 'labels')?.values.toArray() ?? [];
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if (!labelsArray?.length) {
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return [];
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}
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// We do this only for first label object, because we want to consider only labels that are present in all log lines
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// possibleUnwrapLabels are labels with 1. number value OR 2. value that is valid go duration OR 3. bytes string value
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const possibleUnwrapLabels = Object.keys(labelsArray[0]).filter((key) => {
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const value = labelsArray[0][key];
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if (!value) {
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return false;
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}
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return !isNaN(Number(value)) || isValidGoDuration(value) || isBytesString(value);
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});
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// Add only labels that are present in every line to unwrapLabels
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return possibleUnwrapLabels.filter((label) => labelsArray.every((obj) => obj[label]));
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}
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export function extractHasErrorLabelFromDataFrame(frame: DataFrame): boolean {
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const labelField = frame.fields.find((field) => field.name === 'labels' && field.type === FieldType.other);
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if (labelField == null) {
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