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/grafana-testdata-datasource/runStreams.ts

415 lines
12 KiB

import { defaults } from 'lodash';
import { Observable, throwError } from 'rxjs';
import { v4 as uuidv4 } from 'uuid';
import {
DataQueryRequest,
DataQueryResponse,
FieldType,
CircularDataFrame,
CSVReader,
Field,
LoadingState,
DataFrameSchema,
DataFrameData,
StreamingDataFrame,
createDataFrame,
addRow,
getDisplayProcessor,
createTheme,
} from '@grafana/data';
import { getBackendSrv } from '@grafana/runtime';
import { getRandomLine } from './LogIpsum';
import { TestDataDataQuery, StreamingQuery } from './dataquery';
export const defaultStreamQuery: StreamingQuery = {
type: 'signal',
speed: 250, // ms
spread: 3.5,
noise: 2.2,
bands: 1,
};
export function runStream(
target: TestDataDataQuery,
req: DataQueryRequest<TestDataDataQuery>
): Observable<DataQueryResponse> {
const query = defaults(target.stream, defaultStreamQuery);
switch (query.type) {
case 'signal':
return runSignalStream(target, query, req);
case 'logs':
return runLogsStream(target, query, req);
case 'fetch':
return runFetchStream(target, query, req);
case 'traces':
return runTracesStream(target, query, req);
case 'watch':
return runWatchStream(target, query, req);
}
throw new Error(`Unknown Stream Type: ${query.type}`);
}
export function runSignalStream(
target: TestDataDataQuery,
query: StreamingQuery,
req: DataQueryRequest<TestDataDataQuery>
): Observable<DataQueryResponse> {
return new Observable<DataQueryResponse>((subscriber) => {
const streamId = `signal-${req.panelId || 'explore'}-${target.refId}`;
const maxDataPoints = req.maxDataPoints || 1000;
const schema: DataFrameSchema = {
refId: target.refId,
fields: [
{ name: 'time', type: FieldType.time },
{ name: target.alias ?? 'value', type: FieldType.number },
],
};
const { spread, speed, bands = 0, noise } = query;
for (let i = 0; i < bands; i++) {
const suffix = bands > 1 ? ` ${i + 1}` : '';
schema.fields.push({ name: 'Min' + suffix, type: FieldType.number });
schema.fields.push({ name: 'Max' + suffix, type: FieldType.number });
}
const frame = StreamingDataFrame.fromDataFrameJSON({ schema }, { maxLength: maxDataPoints });
let value = Math.random() * 100;
let timeoutId: ReturnType<typeof setTimeout>;
let lastSent = -1;
const addNextRow = (time: number) => {
value += (Math.random() - 0.5) * spread;
const data: DataFrameData = {
values: [[time], [value]],
};
let min = value;
let max = value;
for (let i = 0; i < bands; i++) {
min = min - Math.random() * noise;
max = max + Math.random() * noise;
data.values.push([min]);
data.values.push([max]);
}
const event = { data };
return frame.push(event);
};
// Fill the buffer on init
let time = Date.now() - maxDataPoints * speed;
for (let i = 0; i < maxDataPoints; i++) {
addNextRow(time);
time += speed;
}
const pushNextEvent = () => {
lastSent = Date.now();
addNextRow(lastSent);
subscriber.next({
data: [frame],
key: streamId,
state: LoadingState.Streaming,
});
timeoutId = setTimeout(pushNextEvent, speed);
};
// Send first event in 5ms
setTimeout(pushNextEvent, 5);
return () => {
console.log('unsubscribing to stream ' + streamId);
clearTimeout(timeoutId);
};
});
}
export function runLogsStream(
target: TestDataDataQuery,
query: StreamingQuery,
req: DataQueryRequest<TestDataDataQuery>
): Observable<DataQueryResponse> {
return new Observable<DataQueryResponse>((subscriber) => {
const streamId = `logs-${req.panelId || 'explore'}-${target.refId}`;
const maxDataPoints = req.maxDataPoints || 1000;
const data = new CircularDataFrame({
append: 'tail',
capacity: maxDataPoints,
});
data.refId = target.refId;
data.name = target.alias || 'Logs ' + target.refId;
data.addField({ name: 'line', type: FieldType.string });
data.addField({ name: 'time', type: FieldType.time });
data.meta = { preferredVisualisationType: 'logs' };
const { speed } = query;
let timeoutId: ReturnType<typeof setTimeout>;
const pushNextEvent = () => {
data.fields[0].values.push(getRandomLine());
data.fields[1].values.push(Date.now());
subscriber.next({
data: [data],
key: streamId,
state: LoadingState.Streaming,
});
timeoutId = setTimeout(pushNextEvent, speed);
};
// Send first event in 5ms
setTimeout(pushNextEvent, 5);
return () => {
console.log('unsubscribing to stream ' + streamId);
clearTimeout(timeoutId);
};
});
}
interface StreamMessage {
message: number; // incrementing number
time: number;
value: number;
}
export function runWatchStream(
target: TestDataDataQuery,
query: StreamingQuery,
req: DataQueryRequest<TestDataDataQuery>
): Observable<DataQueryResponse> {
const uid = req.targets[0].datasource?.uid;
if (!uid) {
return throwError(() => new Error('expected datasource uid'));
}
return new Observable<DataQueryResponse>((subscriber) => {
const streamId = `watch-${req.panelId || 'explore'}-${target.refId}`;
const data = new CircularDataFrame({
append: 'tail',
capacity: req.maxDataPoints || 1000,
});
data.refId = target.refId;
data.name = target.alias || 'Logs ' + target.refId;
data.addField({ name: 'time', type: FieldType.time });
data.addField({ name: 'message', type: FieldType.number });
data.addField({ name: 'value', type: FieldType.number });
const decoder = new TextDecoder();
const sub = getBackendSrv()
.chunked({
url: `api/datasources/uid/${uid}/resources/stream`,
params: {
count: req.maxDataPoints || 1000, // connection will close when done
format: 'json',
speed: `${query.speed ?? 250}ms`,
flush: 85, // 85% (eg, sometimes send a few at a time)
},
})
.subscribe({
next: (chunk) => {
if (!chunk.data || !chunk.ok) {
console.info('chunk missing data', chunk);
return;
}
decoder
.decode(chunk.data, { stream: true })
.split('\n')
.forEach((line) => {
if (line?.length) {
try {
const msg: StreamMessage = JSON.parse(line);
data.fields[0].values.push(msg.time);
data.fields[1].values.push(msg.message);
data.fields[2].values.push(msg.value);
subscriber.next({
data: [data],
key: streamId,
state: LoadingState.Streaming,
});
} catch (err) {
console.warn('error parsing line', line, err);
}
}
});
},
error: (err) => {
console.warn('error in stream', streamId, err);
},
complete: () => {
console.info('complete stream', streamId);
},
});
return () => {
console.log('unsubscribing to stream', streamId);
sub.unsubscribe();
};
});
}
export function runFetchStream(
target: TestDataDataQuery,
query: StreamingQuery,
req: DataQueryRequest<TestDataDataQuery>
): Observable<DataQueryResponse> {
return new Observable<DataQueryResponse>((subscriber) => {
const streamId = `fetch-${req.panelId || 'explore'}-${target.refId}`;
const maxDataPoints = req.maxDataPoints || 1000;
let data = new CircularDataFrame({
append: 'tail',
capacity: maxDataPoints,
});
data.refId = target.refId;
data.name = target.alias || 'Fetch ' + target.refId;
let reader: ReadableStreamDefaultReader<Uint8Array>;
const csv = new CSVReader({
callback: {
onHeader: (fields: Field[]) => {
// Clear any existing fields
if (data.fields.length) {
data = new CircularDataFrame({
append: 'tail',
capacity: maxDataPoints,
});
data.refId = target.refId;
data.name = 'Fetch ' + target.refId;
}
for (const field of fields) {
data.addField(field);
}
},
onRow: (row) => {
data.add(row);
},
},
});
const processChunk = async (
value: ReadableStreamReadResult<Uint8Array>
): Promise<ReadableStreamReadResult<Uint8Array> | undefined> => {
if (value.value) {
const text = new TextDecoder().decode(value.value);
csv.readCSV(text);
}
subscriber.next({
data: [data],
key: streamId,
state: value.done ? LoadingState.Done : LoadingState.Streaming,
});
if (value.done) {
console.log('Finished stream');
subscriber.complete(); // necessary?
return;
}
return reader.read().then(processChunk);
};
if (!query.url) {
throw new Error('query.url is not defined');
}
fetch(new Request(query.url)).then((response) => {
if (response.body) {
reader = response.body.getReader();
reader.read().then(processChunk);
}
});
return () => {
// Cancel fetch?
console.log('unsubscribing to stream ' + streamId);
};
});
}
export function runTracesStream(
target: TestDataDataQuery,
query: StreamingQuery,
req: DataQueryRequest<TestDataDataQuery>
): Observable<DataQueryResponse> {
return new Observable<DataQueryResponse>((subscriber) => {
const streamId = `traces-${req.panelId || 'explore'}-${target.refId}`;
const data = createMainTraceFrame(target, req.maxDataPoints);
let timeoutId: ReturnType<typeof setTimeout>;
const pushNextEvent = () => {
const subframe = createTraceSubFrame();
addRow(subframe, [uuidv4(), Date.now(), 'Grafana', 1500]);
addRow(data, [uuidv4(), Date.now(), 'Grafana', 'HTTP GET /explore', 1500, [subframe]]);
subscriber.next({
data: [data],
key: streamId,
state: LoadingState.Streaming,
});
timeoutId = setTimeout(pushNextEvent, query.speed);
};
// Send first event in 5ms
setTimeout(pushNextEvent, 5);
return () => {
console.log('unsubscribing to stream ' + streamId);
clearTimeout(timeoutId);
};
});
}
function createMainTraceFrame(target: TestDataDataQuery, maxDataPoints = 1000) {
const data = new CircularDataFrame({
append: 'head',
capacity: maxDataPoints,
});
data.refId = target.refId;
data.name = target.alias || 'Traces ' + target.refId;
data.addField({ name: 'TraceID', type: FieldType.string });
data.addField({ name: 'Start time', type: FieldType.time });
data.addField({ name: 'Service', type: FieldType.string });
data.addField({ name: 'Name', type: FieldType.string });
data.addField({ name: 'Duration', type: FieldType.number, config: { unit: 'ms' } });
data.addField({ name: 'nested', type: FieldType.nestedFrames });
data.meta = {
preferredVisualisationType: 'table',
uniqueRowIdFields: [0],
};
return data;
}
function createTraceSubFrame() {
const frame = createDataFrame({
fields: [
{ name: 'SpanID', type: FieldType.string },
{ name: 'Start time', type: FieldType.time },
{ name: 'service.name', type: FieldType.string },
{ name: 'duration', type: FieldType.number },
],
});
// TODO: this should be removed later but right now there is an issue that applyFieldOverrides does not consider
// nested frames.
for (const f of frame.fields) {
f.display = getDisplayProcessor({ field: f, theme });
}
return frame;
}
const theme = createTheme();