290 lines
11 KiB
TypeScript
290 lines
11 KiB
TypeScript
import { dateTime, createDataFrame, FieldType } from '@grafana/data';
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import { mapPromMetricsToServiceMap } from './graphTransform';
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it('assigns correct field type even if values are numbers', async () => {
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const range = {
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from: dateTime('2000-01-01T00:00:00'),
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to: dateTime('2000-01-01T00:01:00'),
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};
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const { nodes } = mapPromMetricsToServiceMap([{ data: [serverIsANumber, serverIsANumber] }], {
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...range,
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raw: range,
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});
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expect(nodes.fields).toMatchObject([
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{ name: 'id', values: ['0', '1'], type: FieldType.string },
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{ name: 'title', values: ['0', '1'], type: FieldType.string },
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{ name: 'subtitle', type: FieldType.string, values: [] },
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{ name: 'mainstat', values: [NaN, NaN], type: FieldType.number },
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{ name: 'secondarystat', values: [10, 20], type: FieldType.number },
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{ name: 'arc__success', values: [1, 1], type: FieldType.number },
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{ name: 'arc__failed', values: [0, 0], type: FieldType.number },
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{ name: 'isinstrumented', values: [true, true], type: FieldType.boolean },
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]);
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});
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it('do not fail on response with empty list', async () => {
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const range = {
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from: dateTime('2000-01-01T00:00:00'),
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to: dateTime('2000-01-01T00:01:00'),
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};
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const { nodes } = mapPromMetricsToServiceMap([], {
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...range,
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raw: range,
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});
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expect(nodes.fields).toMatchObject([
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{ name: 'id', values: [], type: FieldType.string },
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{ name: 'title', values: [], type: FieldType.string },
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{ name: 'subtitle', type: FieldType.string, values: [] },
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{ name: 'mainstat', values: [], type: FieldType.number },
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{ name: 'secondarystat', values: [], type: FieldType.number },
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{ name: 'arc__success', values: [], type: FieldType.number },
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{ name: 'arc__failed', values: [], type: FieldType.number },
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{ name: 'isinstrumented', values: [], type: FieldType.boolean },
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]);
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});
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describe('mapPromMetricsToServiceMap', () => {
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it('transforms prom metrics to service graph', async () => {
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const range = {
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from: dateTime('2000-01-01T00:00:00'),
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to: dateTime('2000-01-01T00:01:00'),
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};
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const { nodes, edges } = mapPromMetricsToServiceMap(
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[{ data: [totalsPromMetric(), secondsPromMetric(), failedPromMetric()] }],
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{
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...range,
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raw: range,
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}
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);
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expect(nodes.fields).toMatchObject([
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{ name: 'id', values: ['db', 'app', 'lb'] },
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{ name: 'title', values: ['db', 'app', 'lb'] },
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{ name: 'subtitle', values: [] },
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{ name: 'mainstat', values: [1000, 2000, NaN] },
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{ name: 'secondarystat', values: [10, 20, NaN] },
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{ name: 'arc__success', values: [0.8, 0.25, 1] },
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{ name: 'arc__failed', values: [0.2, 0.75, 0] },
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{ name: 'isinstrumented', values: [true, true, true] },
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]);
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expect(edges.fields).toMatchObject([
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{ name: 'id', values: ['app_db', 'lb_app'] },
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{ name: 'source', values: ['app', 'lb'] },
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{ name: 'sourceName', values: ['app', 'lb'] },
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{ name: 'sourceNamespace', values: [undefined, undefined] },
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{ name: 'target', values: ['db', 'app'] },
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{ name: 'targetName', values: ['db', 'app'] },
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{ name: 'targetNamespace', values: [undefined, undefined] },
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{ name: 'mainstat', values: [1000, 2000] },
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{ name: 'secondarystat', values: [10, 20] },
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]);
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});
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it('transforms prom metrics to service graph including namespace', async () => {
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const range = {
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from: dateTime('2000-01-01T00:00:00'),
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to: dateTime('2000-01-01T00:01:00'),
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};
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const { nodes, edges } = mapPromMetricsToServiceMap(
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[{ data: [totalsPromMetric(true), secondsPromMetric(true), failedPromMetric(true)] }],
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{
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...range,
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raw: range,
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}
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);
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expect(nodes.fields).toMatchObject([
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{ name: 'id', values: ['ns3/db', 'ns1/app', 'ns2/lb'] },
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{ name: 'title', values: ['db', 'app', 'lb'] },
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{ name: 'subtitle', values: ['ns3', 'ns1', 'ns2'] },
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{ name: 'mainstat', values: [1000, 2000, NaN] },
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{ name: 'secondarystat', values: [10, 20, NaN] },
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{ name: 'arc__success', values: [0.8, 0.25, 1] },
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{ name: 'arc__failed', values: [0.2, 0.75, 0] },
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{ name: 'isinstrumented', values: [true, true, true] },
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]);
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expect(edges.fields).toMatchObject([
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{ name: 'id', values: ['ns1/app_ns3/db', 'ns2/lb_ns1/app'] },
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{ name: 'source', values: ['ns1/app', 'ns2/lb'] },
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{ name: 'sourceName', values: ['app', 'lb'] },
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{ name: 'sourceNamespace', values: ['ns1', 'ns2'] },
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{ name: 'target', values: ['ns3/db', 'ns1/app'] },
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{ name: 'targetName', values: ['db', 'app'] },
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{ name: 'targetNamespace', values: ['ns3', 'ns1'] },
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{ name: 'mainstat', values: [1000, 2000] },
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{ name: 'secondarystat', values: [10, 20] },
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]);
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});
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it('handles invalid failed count', () => {
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// If node.failed > node.total, the stat circle will render in the wrong position
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// Fixed this by limiting the failed value to the total value
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const range = {
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from: dateTime('2000-01-01T00:00:00'),
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to: dateTime('2000-01-01T00:01:00'),
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};
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const { nodes } = mapPromMetricsToServiceMap(
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[{ data: [totalsPromMetric(), secondsPromMetric(), invalidFailedPromMetric] }],
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{
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...range,
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raw: range,
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}
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);
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expect(nodes.fields).toMatchObject([
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{ name: 'id', values: ['db', 'app', 'lb'] },
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{ name: 'title', values: ['db', 'app', 'lb'] },
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{ name: 'subtitle', values: [] },
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{ name: 'mainstat', values: [1000, 2000, NaN] },
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{ name: 'secondarystat', values: [10, 20, NaN] },
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{ name: 'arc__success', values: [0, 0, 1] },
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{ name: 'arc__failed', values: [1, 1, 0] },
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{ name: 'isinstrumented', values: [true, true, true] },
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]);
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});
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it('handles setting isInstrumented based on the connection_type', () => {
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const range = {
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from: dateTime('2000-01-01T00:00:00'),
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to: dateTime('2000-01-01T00:01:00'),
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};
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const { nodes } = mapPromMetricsToServiceMap(
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[
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{
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data: [
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totalsPromMetric(true),
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secondsPromMetric(true),
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secondsLabelsPromMetric(true),
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failedPromMetric(true),
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],
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},
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],
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{
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...range,
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raw: range,
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}
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);
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expect(nodes.fields).toMatchObject([
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{ name: 'id', values: ['ns3/db', 'ns1/app', 'ns2/lb'] },
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{ name: 'title', values: ['db', 'app', 'lb'] },
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{ name: 'subtitle', values: ['ns3', 'ns1', 'ns2'] },
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{ name: 'mainstat', values: [1000, 2000, NaN] },
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{ name: 'secondarystat', values: [10, 20, NaN] },
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{ name: 'arc__success', values: [0.8, 0.25, 1] },
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{ name: 'arc__failed', values: [0.2, 0.75, 0] },
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{ name: 'isinstrumented', values: [true, false, true] },
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]);
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});
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});
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const totalsPromMetric = (namespace?: boolean) =>
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createDataFrame({
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refId: 'traces_service_graph_request_total',
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fields: [
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{ name: 'Time', values: [1628169788000, 1628169788000] },
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{ name: 'client', values: ['app', 'lb'] },
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{ name: 'instance', values: ['127.0.0.1:12345', '127.0.0.1:12345'] },
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{ name: 'job', values: ['local_scrape', 'local_scrape'] },
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{ name: 'server', values: ['db', 'app'] },
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{ name: 'tempo_config', values: ['default', 'default'] },
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{ name: 'Value #traces_service_graph_request_total', values: [10, 20] },
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...(namespace
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? [
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{ name: 'client_service_namespace', values: ['ns1', 'ns2'] },
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{ name: 'server_service_namespace', values: ['ns3', 'ns1'] },
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]
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: []),
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],
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});
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const secondsPromMetric = (namespace?: boolean) =>
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createDataFrame({
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refId: 'traces_service_graph_request_server_seconds_sum',
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fields: [
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{ name: 'Time', values: [1628169788000, 1628169788000] },
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{ name: 'client', values: ['app', 'lb'] },
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{ name: 'instance', values: ['127.0.0.1:12345', '127.0.0.1:12345'] },
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{ name: 'job', values: ['local_scrape', 'local_scrape'] },
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{ name: 'server', values: ['db', 'app'] },
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{ name: 'tempo_config', values: ['default', 'default'] },
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{ name: 'Value #traces_service_graph_request_server_seconds_sum', values: [10, 40] },
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...(namespace
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? [
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{ name: 'client_service_namespace', values: ['ns1', 'ns2'] },
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{ name: 'server_service_namespace', values: ['ns3', 'ns1'] },
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]
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: []),
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],
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});
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const secondsLabelsPromMetric = (namespace?: boolean) =>
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createDataFrame({
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refId: 'traces_service_graph_request_server_seconds_sum_labels',
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fields: [
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{ name: 'Time', values: [1628169788000, 1628169788000] },
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{ name: 'client', values: ['app', 'lb'] },
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{ name: 'instance', values: ['127.0.0.1:12345', '127.0.0.1:12345'] },
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{ name: 'job', values: ['local_scrape', 'local_scrape'] },
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{ name: 'server', values: ['db', 'app'] },
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{ name: 'tempo_config', values: ['default', 'default'] },
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{ name: 'Value #traces_service_graph_request_server_seconds_sum_label', values: [1, 1] },
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{ name: 'connection_type', values: ['messaging_system', 'virtual_node'] },
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...(namespace
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? [
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{ name: 'client_service_namespace', values: ['ns1', 'ns2'] },
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{ name: 'server_service_namespace', values: ['ns3', 'ns1'] },
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]
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: []),
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],
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});
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const failedPromMetric = (namespace?: boolean) =>
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createDataFrame({
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refId: 'traces_service_graph_request_failed_total',
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fields: [
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{ name: 'Time', values: [1628169788000, 1628169788000] },
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{ name: 'client', values: ['app', 'lb'] },
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{ name: 'instance', values: ['127.0.0.1:12345', '127.0.0.1:12345'] },
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{ name: 'job', values: ['local_scrape', 'local_scrape'] },
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{ name: 'server', values: ['db', 'app'] },
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{ name: 'tempo_config', values: ['default', 'default'] },
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{ name: 'Value #traces_service_graph_request_failed_total', values: [2, 15] },
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...(namespace
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? [
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{ name: 'client_service_namespace', values: ['ns1', 'ns2'] },
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{ name: 'server_service_namespace', values: ['ns3', 'ns1'] },
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]
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: []),
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],
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});
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const invalidFailedPromMetric = createDataFrame({
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refId: 'traces_service_graph_request_failed_total',
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fields: [
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{ name: 'Time', values: [1628169788000, 1628169788000] },
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{ name: 'client', values: ['app', 'lb'] },
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{ name: 'instance', values: ['127.0.0.1:12345', '127.0.0.1:12345'] },
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{ name: 'job', values: ['local_scrape', 'local_scrape'] },
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{ name: 'server', values: ['db', 'app'] },
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{ name: 'tempo_config', values: ['default', 'default'] },
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{ name: 'Value #traces_service_graph_request_failed_total', values: [20, 40] },
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],
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});
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const serverIsANumber = createDataFrame({
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refId: 'traces_service_graph_request_total',
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fields: [
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{ name: 'Time', values: [1628169788000, 1628169788000] },
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{ name: 'client', values: ['0', '1'] },
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{ name: 'instance', values: ['127.0.0.1:12345', '127.0.0.1:12345'] },
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{ name: 'job', values: ['local_scrape', 'local_scrape'] },
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{ name: 'server', values: ['0', '1'] },
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{ name: 'tempo_config', values: ['default', 'default'] },
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{ name: 'Value #traces_service_graph_request_total', values: [10, 20] },
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],
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});
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