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

167 lines
4.4 KiB

import { capitalize } from 'lodash';
import { map, Observable, defer, mergeMap } from 'rxjs';
import { v4 as uuidv4 } from 'uuid';
import {
DataFrame,
DataQueryRequest,
DataQueryResponse,
DataSourceInstanceSettings,
FieldType,
LiveChannelScope,
LoadingState,
MutableDataFrame,
ThresholdsConfig,
ThresholdsMode,
} from '@grafana/data';
import { getGrafanaLiveSrv } from '@grafana/runtime';
import { SearchStreamingState } from './dataquery.gen';
import { TempoDatasource } from './datasource';
import { createTableFrameFromTraceQlQuery } from './resultTransformer';
import { SearchMetrics, TempoJsonData, TempoQuery } from './types';
export async function getLiveStreamKey(): Promise<string> {
return uuidv4();
}
export function doTempoChannelStream(
query: TempoQuery,
ds: TempoDatasource,
options: DataQueryRequest<TempoQuery>,
instanceSettings: DataSourceInstanceSettings<TempoJsonData>
): Observable<DataQueryResponse> {
const range = options.range;
let frames: DataFrame[] | undefined = undefined;
let state: LoadingState = LoadingState.NotStarted;
return defer(() => getLiveStreamKey()).pipe(
mergeMap((key) => {
return getGrafanaLiveSrv()
.getStream<MutableDataFrame>({
scope: LiveChannelScope.DataSource,
namespace: ds.uid,
path: `search/${key}`,
data: {
...query,
timeRange: {
from: range.from.toISOString(),
to: range.to.toISOString(),
},
},
})
.pipe(
map((evt) => {
if ('message' in evt && evt?.message) {
// Schema should be [traces, metrics, state, error]
const traces = evt.message.data.values[0][0];
const metrics = evt.message.data.values[1][0];
const frameState: SearchStreamingState = evt.message.data.values[2][0];
const error = evt.message.data.values[3][0];
switch (frameState) {
case SearchStreamingState.Done:
state = LoadingState.Done;
break;
case SearchStreamingState.Streaming:
state = LoadingState.Streaming;
break;
case SearchStreamingState.Error:
throw new Error(error);
}
frames = [
metricsDataFrame(metrics, frameState),
...createTableFrameFromTraceQlQuery(traces, instanceSettings),
];
}
return {
data: frames || [],
state,
};
})
);
})
);
}
function metricsDataFrame(metrics: SearchMetrics, state: SearchStreamingState) {
const progressThresholds: ThresholdsConfig = {
steps: [
{
color: 'blue',
value: -Infinity,
},
{
color: 'green',
value: 75,
},
],
mode: ThresholdsMode.Absolute,
};
const frame: DataFrame = {
refId: 'streaming-progress',
name: 'Streaming Progress',
length: 1,
fields: [
{
name: 'state',
type: FieldType.string,
values: [capitalize(state.toString())],
config: {
displayNameFromDS: 'State',
},
},
{
name: 'totalBlocks',
type: FieldType.number,
values: [metrics.totalBlocks],
config: {
displayNameFromDS: 'Total Blocks',
},
},
{
name: 'completedJobs',
type: FieldType.number,
values: [metrics.completedJobs],
config: {
displayNameFromDS: 'Completed Jobs',
},
},
{
name: 'totalJobs',
type: FieldType.number,
values: [metrics.totalJobs],
config: {
displayNameFromDS: 'Total Jobs',
},
},
{
name: 'progress',
type: FieldType.number,
values: [
state === SearchStreamingState.Done ? 100 : ((metrics.completedJobs || 0) / (metrics.totalJobs || 1)) * 100,
],
config: {
displayNameFromDS: 'Total Jobs',
unit: 'percent',
min: 0,
max: 100,
custom: {
cellOptions: {
type: 'gauge',
mode: 'gradient',
},
},
thresholds: progressThresholds,
},
},
],
meta: {
preferredVisualisationType: 'table',
},
};
return frame;
}