mirror of
https://github.com/grafana/grafana.git
synced 2025-02-15 10:03:33 -06:00
* Introduce Echo for collecting frontend metrics * Update public/app/core/services/echo/Echo.ts Co-Authored-By: Peter Holmberg <peterholmberg@users.noreply.github.com> * Custom meta when adding event * Rename consumer to backend * Remove buffer from Echo * Minor tweaks * Update package.json * Update public/app/app.ts * Update public/app/app.ts * Collect paint metrics when collecting tti. Remove echoBackendFactory * Update yarn.lock * Move Echo interfaces to runtime * progress on meta and echo * Collect meta analytics events * Move MetaanalyticsBackend to enterprise repo * Fixed unit tests * Removed unused type from test * Fixed issues with chunk loading (reverted index-template changes) * Restored changes * Fixed webpack prod
186 lines
4.9 KiB
TypeScript
186 lines
4.9 KiB
TypeScript
import { PanelQueryRunner } from './PanelQueryRunner';
|
|
import { PanelData, DataQueryRequest, dateTime, ScopedVars } from '@grafana/data';
|
|
import { DashboardModel } from './index';
|
|
import { setEchoSrv } from '@grafana/runtime';
|
|
import { Echo } from '../../../core/services/echo/Echo';
|
|
|
|
jest.mock('app/core/services/backend_srv');
|
|
|
|
const dashboardModel = new DashboardModel({
|
|
panels: [{ id: 1, type: 'graph' }],
|
|
});
|
|
|
|
jest.mock('app/features/dashboard/services/DashboardSrv', () => ({
|
|
getDashboardSrv: () => {
|
|
return {
|
|
getCurrent: () => dashboardModel,
|
|
};
|
|
},
|
|
}));
|
|
|
|
interface ScenarioContext {
|
|
setup: (fn: () => void) => void;
|
|
|
|
// Options used in setup
|
|
maxDataPoints?: number | null;
|
|
widthPixels: number;
|
|
dsInterval?: string;
|
|
minInterval?: string;
|
|
scopedVars: ScopedVars;
|
|
|
|
// Filled in by the Scenario runner
|
|
events?: PanelData[];
|
|
res?: PanelData;
|
|
queryCalledWith?: DataQueryRequest;
|
|
runner: PanelQueryRunner;
|
|
}
|
|
|
|
type ScenarioFn = (ctx: ScenarioContext) => void;
|
|
|
|
function describeQueryRunnerScenario(description: string, scenarioFn: ScenarioFn) {
|
|
describe(description, () => {
|
|
let setupFn = () => {};
|
|
|
|
const ctx: ScenarioContext = {
|
|
widthPixels: 200,
|
|
scopedVars: {
|
|
server: { text: 'Server1', value: 'server-1' },
|
|
},
|
|
runner: new PanelQueryRunner(),
|
|
setup: (fn: () => void) => {
|
|
setupFn = fn;
|
|
},
|
|
};
|
|
|
|
const response: any = {
|
|
data: [
|
|
{
|
|
target: 'hello',
|
|
datapoints: [
|
|
[1, 1000],
|
|
[2, 2000],
|
|
],
|
|
},
|
|
],
|
|
};
|
|
|
|
beforeEach(async () => {
|
|
setEchoSrv(new Echo());
|
|
setupFn();
|
|
|
|
const datasource: any = {
|
|
name: 'TestDB',
|
|
interval: ctx.dsInterval,
|
|
query: (options: DataQueryRequest) => {
|
|
ctx.queryCalledWith = options;
|
|
return Promise.resolve(response);
|
|
},
|
|
testDatasource: jest.fn(),
|
|
};
|
|
|
|
const args: any = {
|
|
datasource,
|
|
scopedVars: ctx.scopedVars,
|
|
minInterval: ctx.minInterval,
|
|
widthPixels: ctx.widthPixels,
|
|
maxDataPoints: ctx.maxDataPoints,
|
|
timeRange: {
|
|
from: dateTime().subtract(1, 'days'),
|
|
to: dateTime(),
|
|
raw: { from: '1h', to: 'now' },
|
|
},
|
|
panelId: 1,
|
|
queries: [{ refId: 'A', test: 1 }],
|
|
};
|
|
|
|
ctx.runner = new PanelQueryRunner();
|
|
ctx.runner.getData().subscribe({
|
|
next: (data: PanelData) => {
|
|
ctx.res = data;
|
|
ctx.events.push(data);
|
|
},
|
|
});
|
|
|
|
ctx.events = [];
|
|
ctx.runner.run(args);
|
|
});
|
|
|
|
scenarioFn(ctx);
|
|
});
|
|
}
|
|
|
|
describe('PanelQueryRunner', () => {
|
|
describeQueryRunnerScenario('simple scenario', ctx => {
|
|
it('should set requestId on request', async () => {
|
|
expect(ctx.queryCalledWith.requestId).toBe('Q100');
|
|
});
|
|
|
|
it('should set datasource name on request', async () => {
|
|
expect(ctx.queryCalledWith.targets[0].datasource).toBe('TestDB');
|
|
});
|
|
|
|
it('should pass scopedVars to datasource with interval props', async () => {
|
|
expect(ctx.queryCalledWith.scopedVars.server.text).toBe('Server1');
|
|
expect(ctx.queryCalledWith.scopedVars.__interval.text).toBe('5m');
|
|
expect(ctx.queryCalledWith.scopedVars.__interval_ms.text).toBe('300000');
|
|
});
|
|
});
|
|
|
|
describeQueryRunnerScenario('with no maxDataPoints or minInterval', ctx => {
|
|
ctx.setup(() => {
|
|
ctx.maxDataPoints = null;
|
|
ctx.widthPixels = 200;
|
|
});
|
|
|
|
it('should return data', async () => {
|
|
expect(ctx.res.error).toBeUndefined();
|
|
expect(ctx.res.series.length).toBe(1);
|
|
});
|
|
|
|
it('should use widthPixels as maxDataPoints', async () => {
|
|
expect(ctx.queryCalledWith.maxDataPoints).toBe(200);
|
|
});
|
|
|
|
it('should calculate interval based on width', async () => {
|
|
expect(ctx.queryCalledWith.interval).toBe('5m');
|
|
});
|
|
|
|
it('fast query should only publish 1 data events', async () => {
|
|
expect(ctx.events.length).toBe(1);
|
|
});
|
|
});
|
|
|
|
describeQueryRunnerScenario('with no panel min interval but datasource min interval', ctx => {
|
|
ctx.setup(() => {
|
|
ctx.widthPixels = 20000;
|
|
ctx.dsInterval = '15s';
|
|
});
|
|
|
|
it('should limit interval to data source min interval', async () => {
|
|
expect(ctx.queryCalledWith.interval).toBe('15s');
|
|
});
|
|
});
|
|
|
|
describeQueryRunnerScenario('with panel min interval and data source min interval', ctx => {
|
|
ctx.setup(() => {
|
|
ctx.widthPixels = 20000;
|
|
ctx.dsInterval = '15s';
|
|
ctx.minInterval = '30s';
|
|
});
|
|
|
|
it('should limit interval to panel min interval', async () => {
|
|
expect(ctx.queryCalledWith.interval).toBe('30s');
|
|
});
|
|
});
|
|
|
|
describeQueryRunnerScenario('with maxDataPoints', ctx => {
|
|
ctx.setup(() => {
|
|
ctx.maxDataPoints = 10;
|
|
});
|
|
|
|
it('should pass maxDataPoints if specified', async () => {
|
|
expect(ctx.queryCalledWith.maxDataPoints).toBe(10);
|
|
});
|
|
});
|
|
});
|