grafana/public/app/plugins/datasource/loki/responseUtils.ts
Matias Chomicki 17cce38545
Loki Monaco Editor: implement extracted label keys (#57368)
* feat(loki-monaco-editor): implement extracted label keys

* Chore: add missing responseUtils tests

* feat(loki-monaco-editor): suggest extracted labels

* Chore: fix test case name

* feat(loki-monaco-editor): dont suggest labels in logs query

* Chore: remove console log

* Chore: remove extracted keyword from suggested label

* feat(loki-monaco-editor): do not suggest duplicated labels

* refactor(loki-monaco-editor): pass query and offset to the completions resolver

* Revert "refactor(loki-monaco-editor): pass query and offset to the completions resolver"

This reverts commit d39464fd1a4624d5cd5420156dd2d1e2dad2eecf.

* refactor(loki-monaco-editor): refactor label completions for grouping

* Chore: remove obsolete function
2022-11-07 11:45:07 -05:00

81 lines
2.7 KiB
TypeScript

import { DataFrame, FieldType, Labels } from '@grafana/data';
import { getParser, LogsParsers } from '../../../features/logs/utils';
export function dataFrameHasLokiError(frame: DataFrame): boolean {
const labelSets: Labels[] = frame.fields.find((f) => f.name === 'labels')?.values.toArray() ?? [];
return labelSets.some((labels) => labels.__error__ !== undefined);
}
export function dataFrameHasLevelLabel(frame: DataFrame): boolean {
const labelSets: Labels[] = frame.fields.find((f) => f.name === 'labels')?.values.toArray() ?? [];
return labelSets.some((labels) => labels.level !== undefined);
}
export function extractLogParserFromDataFrame(frame: DataFrame): { hasLogfmt: boolean; hasJSON: boolean } {
const lineField = frame.fields.find((field) => field.type === FieldType.string);
if (lineField == null) {
return { hasJSON: false, hasLogfmt: false };
}
const logLines: string[] = lineField.values.toArray();
let hasJSON = false;
let hasLogfmt = false;
logLines.forEach((line) => {
const parser = getParser(line);
if (parser === LogsParsers.JSON) {
hasJSON = true;
}
if (parser === LogsParsers.logfmt) {
hasLogfmt = true;
}
});
return { hasLogfmt, hasJSON };
}
export function extractLabelKeysFromDataFrame(frame: DataFrame): string[] {
const labelsArray: Array<{ [key: string]: string }> | undefined =
frame?.fields?.find((field) => field.name === 'labels')?.values.toArray() ?? [];
if (!labelsArray?.length) {
return [];
}
return Object.keys(labelsArray[0]);
}
export function extractHasErrorLabelFromDataFrame(frame: DataFrame): boolean {
const labelField = frame.fields.find((field) => field.name === 'labels' && field.type === FieldType.other);
if (labelField == null) {
return false;
}
const labels: Array<{ [key: string]: string }> = labelField.values.toArray();
return labels.some((label) => label['__error__']);
}
export function extractLevelLikeLabelFromDataFrame(frame: DataFrame): string | null {
const labelField = frame.fields.find((field) => field.name === 'labels' && field.type === FieldType.other);
if (labelField == null) {
return null;
}
// Depending on number of labels, this can be pretty heavy operation.
// Let's just look at first 2 lines If needed, we can introduce more later.
const labelsArray: Array<{ [key: string]: string }> = labelField.values.toArray().slice(0, 2);
let levelLikeLabel: string | null = null;
// Find first level-like label
for (let labels of labelsArray) {
const label = Object.keys(labels).find((label) => label === 'lvl' || label.includes('level'));
if (label) {
levelLikeLabel = label;
break;
}
}
return levelLikeLabel;
}