grafana/public/app/features/dashboard/state/PanelQueryRunner.test.ts
Dominik Prokop 178bb1d3ab Echo: mechanism for collecting custom events lazily (#20365)
* 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
2019-12-05 08:30:39 +01:00

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);
});
});
});