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grafana/public/app/plugins/datasource/tempo/datasource.test.ts

276 lines
8.7 KiB

import { lastValueFrom, Observable, of } from 'rxjs';
import {
DataFrame,
dataFrameToJSON,
DataSourceInstanceSettings,
FieldType,
getDefaultTimeRange,
LoadingState,
MutableDataFrame,
PluginType,
} from '@grafana/data';
import { createFetchResponse } from 'test/helpers/createFetchResponse';
import { BackendDataSourceResponse, FetchResponse, setBackendSrv, setDataSourceSrv } from '@grafana/runtime';
import { TempoDatasource, TempoQuery } from './datasource';
import mockJson from './mockJsonResponse.json';
describe('Tempo data source', () => {
it('parses json fields from backend', async () => {
setupBackendSrv(
new MutableDataFrame({
fields: [
{ name: 'traceID', values: ['04450900759028499335'] },
{ name: 'spanID', values: ['4322526419282105830'] },
{ name: 'parentSpanID', values: [''] },
{ name: 'operationName', values: ['store.validateQueryTimeRange'] },
{ name: 'startTime', values: [1619712655875.4539] },
{ name: 'duration', values: [14.984] },
{ name: 'serviceTags', values: ['{"key":"servicetag1","value":"service"}'] },
{ name: 'logs', values: ['{"timestamp":12345,"fields":[{"key":"count","value":1}]}'] },
{ name: 'tags', values: ['{"key":"tag1","value":"val1"}'] },
{ name: 'serviceName', values: ['service'] },
],
})
);
const ds = new TempoDatasource(defaultSettings);
const response = await lastValueFrom(ds.query({ targets: [{ refId: 'refid1' }] } as any));
expect(
(response.data[0] as DataFrame).fields.map((f) => ({
name: f.name,
values: f.values.toArray(),
}))
).toMatchObject([
{ name: 'traceID', values: ['04450900759028499335'] },
{ name: 'spanID', values: ['4322526419282105830'] },
{ name: 'parentSpanID', values: [''] },
{ name: 'operationName', values: ['store.validateQueryTimeRange'] },
{ name: 'startTime', values: [1619712655875.4539] },
{ name: 'duration', values: [14.984] },
{ name: 'serviceTags', values: [{ key: 'servicetag1', value: 'service' }] },
{ name: 'logs', values: [{ timestamp: 12345, fields: [{ key: 'count', value: 1 }] }] },
{ name: 'tags', values: [{ key: 'tag1', value: 'val1' }] },
{ name: 'serviceName', values: ['service'] },
]);
expect(
(response.data[1] as DataFrame).fields.map((f) => ({
name: f.name,
values: f.values.toArray(),
}))
).toMatchObject([
{ name: 'id', values: ['4322526419282105830'] },
{ name: 'title', values: ['service'] },
{ name: 'subTitle', values: ['store.validateQueryTimeRange'] },
{ name: 'mainStat', values: ['14.98ms (100%)'] },
{ name: 'secondaryStat', values: ['14.98ms (100%)'] },
{ name: 'color', values: [1.000007560204647] },
]);
expect(
(response.data[2] as DataFrame).fields.map((f) => ({
name: f.name,
values: f.values.toArray(),
}))
).toMatchObject([
{ name: 'id', values: [] },
{ name: 'target', values: [] },
{ name: 'source', values: [] },
]);
});
it('runs service map queries', async () => {
const ds = new TempoDatasource({
...defaultSettings,
jsonData: {
serviceMap: {
datasourceUid: 'prom',
},
},
});
setDataSourceSrv(backendSrvWithPrometheus as any);
const response = await lastValueFrom(
ds.query({ targets: [{ queryType: 'serviceMap' }], range: getDefaultTimeRange() } as any)
);
expect(response.data).toHaveLength(2);
expect(response.data[0].name).toBe('Nodes');
expect(response.data[0].fields[0].values.length).toBe(3);
expect(response.data[1].name).toBe('Edges');
expect(response.data[1].fields[0].values.length).toBe(2);
expect(response.state).toBe(LoadingState.Done);
});
it('should handle json file upload', async () => {
const ds = new TempoDatasource(defaultSettings);
ds.uploadedJson = JSON.stringify(mockJson);
const response = await lastValueFrom(
ds.query({
targets: [{ queryType: 'upload', refId: 'A' }],
} as any)
);
const field = response.data[0].fields[0];
expect(field.name).toBe('traceID');
expect(field.type).toBe(FieldType.string);
expect(field.values.get(0)).toBe('60ba2abb44f13eae');
expect(field.values.length).toBe(6);
});
it('should fail on invalid json file upload', async () => {
const ds = new TempoDatasource(defaultSettings);
ds.uploadedJson = JSON.stringify(mockInvalidJson);
const response = await lastValueFrom(
ds.query({
targets: [{ queryType: 'upload', refId: 'A' }],
} as any)
);
expect(response.error?.message).toBeDefined();
expect(response.data.length).toBe(0);
});
it('should build search query correctly', () => {
const ds = new TempoDatasource(defaultSettings);
const tempoQuery: TempoQuery = {
queryType: 'search',
refId: 'A',
query: '',
serviceName: 'frontend',
spanName: '/config',
search: 'root.http.status_code=500',
minDuration: '1ms',
maxDuration: '100s',
limit: 10,
};
const builtQuery = ds.buildSearchQuery(tempoQuery);
expect(builtQuery).toStrictEqual({
'service.name': 'frontend',
name: '/config',
'root.http.status_code': '500',
minDuration: '1ms',
maxDuration: '100s',
limit: 10,
});
});
it('should ignore incomplete tag queries', () => {
const ds = new TempoDatasource(defaultSettings);
const tempoQuery: TempoQuery = {
queryType: 'search',
refId: 'A',
query: '',
search: 'root.ip root.http.status_code=500',
};
const builtQuery = ds.buildSearchQuery(tempoQuery);
expect(builtQuery).toStrictEqual({
'root.http.status_code': '500',
});
});
});
const backendSrvWithPrometheus = {
async get(uid: string) {
if (uid === 'prom') {
return {
query() {
return of({ data: [totalsPromMetric] }, { data: [secondsPromMetric] });
},
};
}
throw new Error('unexpected uid');
},
};
function setupBackendSrv(frame: DataFrame) {
setBackendSrv({
fetch(): Observable<FetchResponse<BackendDataSourceResponse>> {
return of(
createFetchResponse({
results: {
refid1: {
frames: [dataFrameToJSON(frame)],
},
},
})
);
},
} as any);
}
const defaultSettings: DataSourceInstanceSettings = {
id: 0,
uid: '0',
type: 'tracing',
name: 'tempo',
access: 'proxy',
meta: {
id: 'tempo',
name: 'tempo',
type: PluginType.datasource,
info: {} as any,
module: '',
baseUrl: '',
},
jsonData: {},
};
const totalsPromMetric = new MutableDataFrame({
refId: 'tempo_service_graph_request_total',
fields: [
{ name: 'Time', values: [1628169788000, 1628169788000] },
{ name: 'client', values: ['app', 'lb'] },
{ name: 'instance', values: ['127.0.0.1:12345', '127.0.0.1:12345'] },
{ name: 'job', values: ['local_scrape', 'local_scrape'] },
{ name: 'server', values: ['db', 'app'] },
{ name: 'tempo_config', values: ['default', 'default'] },
{ name: 'Value #tempo_service_graph_request_total', values: [10, 20] },
],
});
const secondsPromMetric = new MutableDataFrame({
refId: 'tempo_service_graph_request_server_seconds_sum',
fields: [
{ name: 'Time', values: [1628169788000, 1628169788000] },
{ name: 'client', values: ['app', 'lb'] },
{ name: 'instance', values: ['127.0.0.1:12345', '127.0.0.1:12345'] },
{ name: 'job', values: ['local_scrape', 'local_scrape'] },
{ name: 'server', values: ['db', 'app'] },
{ name: 'tempo_config', values: ['default', 'default'] },
{ name: 'Value #tempo_service_graph_request_server_seconds_sum', values: [10, 40] },
],
});
const mockInvalidJson = {
batches: [
{
resource: {
attributes: [],
},
instrumentation_library_spans: [
{
instrumentation_library: {},
spans: [
{
trace_id: 'AAAAAAAAAABguiq7RPE+rg==',
span_id: 'cmteMBAvwNA=',
parentSpanId: 'OY8PIaPbma4=',
name: 'HTTP GET - root',
kind: 'SPAN_KIND_SERVER',
startTimeUnixNano: '1627471657255809000',
endTimeUnixNano: '1627471657256268000',
attributes: [
{ key: 'http.status_code', value: { intValue: '200' } },
{ key: 'http.method', value: { stringValue: 'GET' } },
{ key: 'http.url', value: { stringValue: '/' } },
{ key: 'component', value: { stringValue: 'net/http' } },
],
status: {},
},
],
},
],
},
],
};