The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 
grafana/public/app/plugins/datasource/loki/result_transformer.test.ts

182 lines
6.3 KiB

import { CircularDataFrame, FieldType, MutableDataFrame } from '@grafana/data';
import { LokiLegacyStreamResult, LokiStreamResult, LokiTailResponse } from './types';
import * as ResultTransformer from './result_transformer';
const legacyStreamResult: LokiLegacyStreamResult[] = [
{
labels: '{foo="bar"}',
entries: [
{
line: "foo: 'bar'",
ts: '1970-01-01T00:00:00Z',
},
],
},
{
labels: '{bar="foo"}',
entries: [
{
line: "bar: 'foo'",
ts: '1970-01-01T00:00:00Z',
},
],
},
];
const streamResult: LokiStreamResult[] = [
{
stream: {
foo: 'bar',
},
values: [['1579857562021616000', "foo: 'bar'"]],
},
{
stream: {
bar: 'foo',
},
values: [['1579857562031616000', "bar: 'foo'"]],
},
];
describe('loki result transformer', () => {
afterAll(() => {
jest.restoreAllMocks();
});
afterEach(() => {
jest.clearAllMocks();
});
describe('legacyLogStreamToDataFrame', () => {
it('converts streams to series', () => {
const data = legacyStreamResult.map(stream => ResultTransformer.legacyLogStreamToDataFrame(stream));
expect(data.length).toBe(2);
expect(data[0].fields[1].labels!['foo']).toEqual('bar');
expect(data[0].fields[0].values.get(0)).toEqual(legacyStreamResult[0].entries[0].ts);
expect(data[0].fields[1].values.get(0)).toEqual(legacyStreamResult[0].entries[0].line);
expect(data[0].fields[2].values.get(0)).toEqual('2764544e18dbc3fcbeee21a573e8cd1b');
expect(data[1].fields[0].values.get(0)).toEqual(legacyStreamResult[1].entries[0].ts);
expect(data[1].fields[1].values.get(0)).toEqual(legacyStreamResult[1].entries[0].line);
expect(data[1].fields[2].values.get(0)).toEqual('55b7a68547c4c1c88827f13f3cb680ed');
});
});
describe('lokiLegacyStreamsToDataframes', () => {
it('should enhance data frames', () => {
jest.spyOn(ResultTransformer, 'enhanceDataFrame');
const dataFrames = ResultTransformer.lokiLegacyStreamsToDataframes(
{ streams: legacyStreamResult },
{ refId: 'A' },
500,
{
derivedFields: [
{
matcherRegex: 'tracer=(w+)',
name: 'test',
url: 'example.com',
},
],
}
);
expect(ResultTransformer.enhanceDataFrame).toBeCalled();
dataFrames.forEach(frame => {
expect(
frame.fields.filter(field => field.name === 'test' && field.type === 'string').length
).toBeGreaterThanOrEqual(1);
});
});
});
describe('lokiStreamResultToDataFrame', () => {
it('converts streams to series', () => {
const data = streamResult.map(stream => ResultTransformer.lokiStreamResultToDataFrame(stream));
expect(data.length).toBe(2);
expect(data[0].fields[1].labels!['foo']).toEqual('bar');
expect(data[0].fields[0].values.get(0)).toEqual('2020-01-24T09:19:22.021Z');
expect(data[0].fields[1].values.get(0)).toEqual(streamResult[0].values[0][1]);
expect(data[0].fields[2].values.get(0)).toEqual('2b431b8a98b80b3b2c2f4cd2444ae6cb');
expect(data[1].fields[0].values.get(0)).toEqual('2020-01-24T09:19:22.031Z');
expect(data[1].fields[1].values.get(0)).toEqual(streamResult[1].values[0][1]);
expect(data[1].fields[2].values.get(0)).toEqual('75d73d66cff40f9d1a1f2d5a0bf295d0');
});
});
describe('lokiStreamsToDataframes', () => {
it('should enhance data frames', () => {
jest.spyOn(ResultTransformer, 'enhanceDataFrame');
const dataFrames = ResultTransformer.lokiStreamsToDataframes(streamResult, { refId: 'B' }, 500, {
derivedFields: [
{
matcherRegex: 'trace=(w+)',
name: 'test',
url: 'example.com',
},
],
});
expect(ResultTransformer.enhanceDataFrame).toBeCalled();
dataFrames.forEach(frame => {
expect(
frame.fields.filter(field => field.name === 'test' && field.type === 'string').length
).toBeGreaterThanOrEqual(1);
});
});
});
describe('appendResponseToBufferedData', () => {
it('should append response', () => {
const data = new MutableDataFrame();
data.addField({ name: 'ts', type: FieldType.time, config: { title: 'Time' } });
data.addField({ name: 'line', type: FieldType.string });
data.addField({ name: 'labels', type: FieldType.other });
data.addField({ name: 'id', type: FieldType.string });
ResultTransformer.appendLegacyResponseToBufferedData({ streams: legacyStreamResult }, data);
expect(data.get(0)).toEqual({
ts: '1970-01-01T00:00:00Z',
line: "foo: 'bar'",
labels: { foo: 'bar' },
id: '2764544e18dbc3fcbeee21a573e8cd1b',
});
});
it('should return a dataframe with ts in iso format', () => {
const tailResponse: LokiTailResponse = {
streams: [
{
stream: {
filename: '/var/log/grafana/grafana.log',
job: 'grafana',
},
values: [
[
'1581519914265798400',
't=2020-02-12T15:04:51+0000 lvl=info msg="Starting Grafana" logger=server version=6.7.0-pre commit=6f09bc9fb4 branch=issue-21929 compiled=2020-02-11T20:43:28+0000',
],
],
},
],
};
const data = new CircularDataFrame({ capacity: 1 });
data.addField({ name: 'ts', type: FieldType.time, config: { title: 'Time' } });
data.addField({ name: 'tsNs', type: FieldType.time, config: { title: 'Time ns' } });
data.addField({ name: 'line', type: FieldType.string }).labels = { job: 'grafana' };
data.addField({ name: 'labels', type: FieldType.other });
data.addField({ name: 'id', type: FieldType.string });
ResultTransformer.appendResponseToBufferedData(tailResponse, data);
expect(data.get(0)).toEqual({
ts: '2020-02-12T15:05:14.265Z',
tsNs: '1581519914265798400',
line:
't=2020-02-12T15:04:51+0000 lvl=info msg="Starting Grafana" logger=server version=6.7.0-pre commit=6f09bc9fb4 branch=issue-21929 compiled=2020-02-11T20:43:28+0000',
labels: { filename: '/var/log/grafana/grafana.log' },
id: '19e8e093d70122b3b53cb6e24efd6e2d',
});
});
});
});