Files
Matias Chomicki e2a6f9a849 Logs: Add new Controls component to Explore (#103401)
* ControlledLogRows: create component

* Fix imports

* ControlledLogRows: handle scroll events

* Rename storage key prop

* LogListControls: externally control syntax highlighting

* ControlledLogRows: add support for level filtering

* Logs: implement deduplication from controls

* Fix imports

* Create feature flag

* Use feature flag

* LogListControls: add download button

* LogsMetaRow: extract download function to logs utils

* Filter and download logs

* Update tests with new props

* LogList: pass logs and logs meta to context

* Remove prefix from downloaded file

* Update unit tests

* LogListControl: update unit tests

* Fix type assertion

* Fix imports

* Formatting

* i18n

* Fix test

* LogListControls: adjust scroll to top styles

* LogListContext: control legacy options

* LogListControls: add showUniqueLabels and prettifyJSON options

* LogListControls: test new controls

* Extract translations

* Hide old controls by feature flag

* LogListControls: update prettify json copy

* ControlledLogRows: disable preview

* Prettier

* LogListControls: Fix test
2025-04-07 16:38:55 +02:00

145 lines
5.1 KiB
TypeScript

import saveAs from 'file-saver';
import { dataFrameFromJSON, DataFrameJSON, dateTimeFormat, FieldType, LogRowModel, LogsMetaKind } from '@grafana/data';
import { downloadAsJson, downloadDataFrameAsCsv, downloadLogsModelAsTxt } from './download';
jest.mock('file-saver', () => jest.fn());
describe('inspector download', () => {
beforeEach(() => {
jest.clearAllMocks();
jest.useFakeTimers({ now: new Date(1400000000000) });
});
afterEach(() => {
jest.useRealTimers();
});
describe('downloadDataFrameAsCsv', () => {
const json: DataFrameJSON = {
schema: {
fields: [
{ name: 'time', type: FieldType.time },
{ name: 'name', type: FieldType.string },
{ name: 'value', type: FieldType.number },
],
},
data: {
values: [[100], ['a'], [1]],
},
};
it.each([[dataFrameFromJSON(json), 'test', '"time","name","value"\r\n100,a,1']])(
'should, when logsModel is %s and title is %s, resolve in %s',
async (dataFrame, title, expected) => {
downloadDataFrameAsCsv(dataFrame, title);
const call = (saveAs as unknown as jest.Mock).mock.calls[0];
const blob = call[0];
const filename = call[1];
const text = await blob.text();
// By default the BOM character should not be included
expect(await hasBOM(blob)).toBe(false);
expect(text).toEqual(expected);
expect(filename).toEqual(`${title}-data-${dateTimeFormat(1400000000000)}.csv`);
}
);
it('should include the BOM character when useExcelHeader is true', async () => {
downloadDataFrameAsCsv(dataFrameFromJSON(json), 'test', { useExcelHeader: true });
const call = (saveAs as unknown as jest.Mock).mock.calls[0];
const blob = call[0];
const filename = call[1];
const text = await blob.text();
expect(await hasBOM(blob)).toBe(true);
expect(text).toEqual('sep=,\r\n"time","name","value"\r\n100,a,1');
expect(filename).toEqual(`test-data-${dateTimeFormat(1400000000000)}.csv`);
});
});
describe('downloadAsJson', () => {
it.each([
['foo', 'test', '"foo"'],
[1, 'test', '1'],
[{ foo: 'bar' }, 'test', '{"foo":"bar"}'],
])('should, when logsModel is %s and title is %s, resolve in %s', async (logsModel, title, expected) => {
downloadAsJson(logsModel, title);
const call = (saveAs as unknown as jest.Mock).mock.calls[0];
const blob = call[0];
const filename = call[1];
const text = await blob.text();
expect(text).toEqual(expected);
expect(filename).toEqual(`${title}-${dateTimeFormat(1400000000000)}.json`);
});
});
describe('downloadLogsModelAsTxt', () => {
it.each([
[{ meta: [], rows: [] }, 'test', '\n\n'],
[
{ meta: [{ label: 'testLabel', value: 'testValue', kind: LogsMetaKind.String }], rows: [] },
'test',
'testLabel: "testValue"\n\n\n',
],
[{ meta: [{ label: 'testLabel', value: 1, kind: LogsMetaKind.Number }], rows: [] }, 'test', 'testLabel: 1\n\n\n'],
[
{
meta: [
{ label: 'testLabel', value: 1, kind: LogsMetaKind.String },
{ label: 'secondTestLabel', value: 2, kind: LogsMetaKind.String },
],
rows: [],
},
'test',
'testLabel: 1\nsecondTestLabel: 2\n\n\n',
],
[
{
meta: [
{ label: 'testLabel', value: 1, kind: LogsMetaKind.String },
{ label: 'secondTestLabel', value: 2, kind: LogsMetaKind.String },
],
rows: [{ timeEpochMs: 100, entry: 'testEntry' } as unknown as LogRowModel],
},
'test',
`testLabel: 1\nsecondTestLabel: 2\n\n\n100\t1970-01-01T00:00:00.100Z\ttestEntry\n`,
],
])('should, when logsModel is %s and title is %s, resolve in %s', async (logsModel, title, expected) => {
downloadLogsModelAsTxt(logsModel, title);
const call = (saveAs as unknown as jest.Mock).mock.calls[0];
const blob = call[0];
const filename = call[1];
const text = await blob.text();
expect(text).toEqual(expected);
expect(filename).toEqual(`${title}-logs-${dateTimeFormat(1400000000000)}.txt`);
});
it('should, when title is empty, resolve in %s', async () => {
downloadLogsModelAsTxt({ meta: [], rows: [] });
const call = (saveAs as unknown as jest.Mock).mock.calls[0];
const filename = call[1];
expect(filename).toEqual(`Logs-${dateTimeFormat(1400000000000)}.txt`);
});
});
});
async function hasBOM(blob: Blob) {
const reader = new FileReader();
return new Promise<boolean>((resolve, reject) => {
reader.onload = (event: ProgressEvent<FileReader>) => {
if (event.target?.result instanceof ArrayBuffer) {
const arr = new Uint8Array(event.target.result);
resolve(arr[0] === 0xef && arr[1] === 0xbb && arr[2] === 0xbf); // Check for UTF-8 BOM
} else {
reject(new Error('Unexpected FileReader result type'));
}
};
reader.onerror = reject;
reader.readAsArrayBuffer(blob.slice(0, 3)); // Read only the first 3 bytes
});
}