[v11.2.x] Transformations: Add 'transpose' transform (#95076)
Transformations: Add 'transpose' transform (#88963)
Co-authored-by: Leon Sorokin <leeoniya@gmail.com>
(cherry picked from commit 8bb548e17b)
Co-authored-by: Jmdane <70574656+jmdane@users.noreply.github.com>
This commit is contained in:
@@ -24,6 +24,7 @@ import { renameFieldsTransformer } from './transformers/rename';
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import { renameByRegexTransformer } from './transformers/renameByRegex';
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import { seriesToRowsTransformer } from './transformers/seriesToRows';
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import { sortByTransformer } from './transformers/sortBy';
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import { transposeTransformer } from './transformers/transpose';
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export const standardTransformers = {
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noopTransformer,
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@@ -55,4 +56,5 @@ export const standardTransformers = {
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groupingToMatrixTransformer,
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limitTransformer,
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groupToNestedTable,
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transposeTransformer,
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};
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@@ -37,6 +37,7 @@ export enum DataTransformerID {
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limit = 'limit',
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partitionByValues = 'partitionByValues',
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timeSeriesTable = 'timeSeriesTable',
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transpose = 'transpose',
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formatTime = 'formatTime',
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formatString = 'formatString',
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regression = 'regression',
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@@ -0,0 +1,241 @@
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import { DataTransformerConfig } from '@grafana/schema';
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import { toDataFrame } from '../../dataframe/processDataFrame';
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import { FieldType } from '../../types/dataFrame';
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import { mockTransformationsRegistry } from '../../utils/tests/mockTransformationsRegistry';
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import { transformDataFrame } from '../transformDataFrame';
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import { DataTransformerID } from './ids';
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import { transposeTransformer, TransposeTransformerOptions } from './transpose';
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describe('Transpose transformer', () => {
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beforeAll(() => {
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mockTransformationsRegistry([transposeTransformer]);
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});
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it('should transpose full numeric values and keep numeric type', async () => {
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const cfgA: DataTransformerConfig<TransposeTransformerOptions> = {
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id: DataTransformerID.transpose,
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options: {},
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};
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const seriesA = toDataFrame({
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name: 'A',
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fields: [
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{ name: 'env', type: FieldType.string, values: ['dev', 'prod', 'staging', 'release', 'beta'] },
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{ name: 'january', type: FieldType.number, values: [11, 12, 13, 14, 15] },
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{ name: 'february', type: FieldType.number, values: [6, 7, 8, 9, 10] },
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{ name: 'march', type: FieldType.number, values: [1, 2, 3, 4, 5] },
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],
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});
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await expect(transformDataFrame([cfgA], [seriesA])).toEmitValuesWith((received) => {
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const result = received[0];
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expect(result[0].fields).toEqual([
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{
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name: 'Field',
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type: FieldType.string,
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values: ['january', 'february', 'march'],
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config: {},
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},
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{
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name: 'Value',
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labels: { env: 'dev' },
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type: FieldType.number,
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values: [11, 6, 1],
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config: {},
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},
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{
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name: 'Value',
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labels: { env: 'prod' },
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type: FieldType.number,
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values: [12, 7, 2],
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config: {},
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},
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{
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name: 'Value',
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labels: { env: 'staging' },
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type: FieldType.number,
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values: [13, 8, 3],
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config: {},
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},
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{
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name: 'Value',
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labels: { env: 'release' },
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type: FieldType.number,
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values: [14, 9, 4],
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config: {},
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},
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{
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name: 'Value',
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labels: { env: 'beta' },
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type: FieldType.number,
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values: [15, 10, 5],
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config: {},
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},
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]);
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});
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});
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it('should transpose and use string field type', async () => {
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const cfgB: DataTransformerConfig<TransposeTransformerOptions> = {
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id: DataTransformerID.transpose,
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options: {},
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};
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const seriesB = toDataFrame({
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name: 'B',
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fields: [
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{ name: 'env', type: FieldType.string, values: ['dev', 'prod', 'staging', 'release', 'beta'] },
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{ name: 'january', type: FieldType.number, values: [11, 12, 13, 14, 15] },
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{ name: 'february', type: FieldType.number, values: [6, 7, 8, 9, 10] },
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{ name: 'type', type: FieldType.string, values: ['metricA', 'metricB', 'metricC', 'metricD', 'metricE'] },
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],
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});
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await expect(transformDataFrame([cfgB], [seriesB])).toEmitValuesWith((received) => {
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const result = received[0];
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expect(result[0].fields).toEqual([
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{
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name: 'Field',
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type: FieldType.string,
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values: ['january', 'february', 'type'],
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config: {},
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},
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{
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name: 'Value',
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labels: { env: 'dev' },
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type: FieldType.string,
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values: ['11', '6', 'metricA'],
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config: {},
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},
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{
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name: 'Value',
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labels: { env: 'prod' },
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type: FieldType.string,
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values: ['12', '7', 'metricB'],
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config: {},
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},
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{
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name: 'Value',
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labels: { env: 'staging' },
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type: FieldType.string,
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values: ['13', '8', 'metricC'],
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config: {},
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},
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{
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name: 'Value',
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labels: { env: 'release' },
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type: FieldType.string,
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values: ['14', '9', 'metricD'],
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config: {},
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},
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{
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name: 'Value',
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labels: { env: 'beta' },
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type: FieldType.string,
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values: ['15', '10', 'metricE'],
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config: {},
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},
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]);
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});
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});
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it('should transpose and keep number types and add new headers', async () => {
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const cfgC: DataTransformerConfig<TransposeTransformerOptions> = {
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id: DataTransformerID.transpose,
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options: {
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firstFieldName: 'NewField',
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},
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};
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const seriesC = toDataFrame({
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name: 'C',
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fields: [
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{ name: 'A', type: FieldType.number, values: [1, 5] },
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{ name: 'B', type: FieldType.number, values: [2, 6] },
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{ name: 'C', type: FieldType.number, values: [3, 7] },
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{ name: 'D', type: FieldType.number, values: [4, 8] },
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],
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});
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await expect(transformDataFrame([cfgC], [seriesC])).toEmitValuesWith((received) => {
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const result = received[0];
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expect(result[0].fields).toEqual([
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{
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name: 'NewField',
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type: FieldType.string,
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values: ['A', 'B', 'C', 'D'],
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config: {},
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},
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{
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name: 'Value',
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labels: { row: 1 },
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type: FieldType.number,
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values: [1, 2, 3, 4],
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config: {},
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},
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{
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name: 'Value',
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labels: { row: 2 },
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type: FieldType.number,
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values: [5, 6, 7, 8],
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config: {},
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},
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]);
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});
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});
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it('should transpose and handle different types and rename first element', async () => {
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const cfgD: DataTransformerConfig<TransposeTransformerOptions> = {
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id: DataTransformerID.transpose,
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options: {
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firstFieldName: 'Field1',
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},
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};
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const seriesD = toDataFrame({
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name: 'D',
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fields: [
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{
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name: 'time',
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type: FieldType.time,
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values: ['2024-06-10 08:30:00', '2024-06-10 08:31:00', '2024-06-10 08:32:00', '2024-06-10 08:33:00'],
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},
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{ name: 'value', type: FieldType.number, values: [1, 2, 3, 4] },
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],
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});
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await expect(transformDataFrame([cfgD], [seriesD])).toEmitValuesWith((received) => {
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const result = received[0];
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expect(result[0].fields).toEqual([
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{
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name: 'Field1',
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type: FieldType.string,
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values: ['value'],
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config: {},
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},
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{
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name: 'Value',
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labels: { time: '2024-06-10 08:30:00' },
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type: FieldType.number,
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values: [1],
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config: {},
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},
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{
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name: 'Value',
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labels: { time: '2024-06-10 08:31:00' },
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type: FieldType.number,
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values: [2],
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config: {},
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},
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{
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name: 'Value',
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labels: { time: '2024-06-10 08:32:00' },
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type: FieldType.number,
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values: [3],
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config: {},
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},
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{
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name: 'Value',
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labels: { time: '2024-06-10 08:33:00' },
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type: FieldType.number,
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values: [4],
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config: {},
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},
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]);
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});
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});
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});
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@@ -0,0 +1,105 @@
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import { map } from 'rxjs/operators';
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import { DataFrame, Field, FieldType } from '../../types/dataFrame';
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import { DataTransformerInfo } from '../../types/transformations';
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import { DataTransformerID } from './ids';
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export interface TransposeTransformerOptions {
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firstFieldName?: string;
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restFieldsName?: string;
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}
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export const transposeTransformer: DataTransformerInfo<TransposeTransformerOptions> = {
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id: DataTransformerID.transpose,
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name: 'Transpose',
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description: 'Transpose the data frame',
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defaultOptions: {},
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operator: (options) => (source) =>
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source.pipe(
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map((data) => {
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if (data.length === 0) {
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return data;
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}
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return transposeDataFrame(options, data);
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})
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),
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};
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function transposeDataFrame(options: TransposeTransformerOptions, data: DataFrame[]): DataFrame[] {
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return data.map((frame) => {
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const firstField = frame.fields[0];
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const firstName = !options.firstFieldName ? 'Field' : options.firstFieldName;
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const restName = !options.restFieldsName ? 'Value' : options.restFieldsName;
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const useFirstFieldAsHeaders =
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firstField.type === FieldType.string || firstField.type === FieldType.time || firstField.type === FieldType.enum;
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const headers = useFirstFieldAsHeaders
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? [firstName, ...fieldValuesAsStrings(firstField, firstField.values)]
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: [firstName, ...firstField.values.map((_, i) => restName)];
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const rows = useFirstFieldAsHeaders
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? frame.fields.map((field) => field.name).slice(1)
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: frame.fields.map((field) => field.name);
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const fieldType = determineFieldType(
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useFirstFieldAsHeaders
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? frame.fields.map((field) => field.type).slice(1)
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: frame.fields.map((field) => field.type)
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);
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const newFields = headers.map((fieldName, index) => {
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if (index === 0) {
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return {
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name: firstName,
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type: FieldType.string,
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config: {},
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values: rows,
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};
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}
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const values = frame.fields.map((field) => {
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if (fieldType === FieldType.string) {
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return fieldValuesAsStrings(field, [field.values[index - 1]])[0];
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}
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return field.values[index - 1];
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});
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const labelName = useFirstFieldAsHeaders ? firstField.name : 'row';
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const labelValue = useFirstFieldAsHeaders ? fieldName : index;
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return {
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name: useFirstFieldAsHeaders ? restName : fieldName,
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labels: {
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[labelName]: labelValue,
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},
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type: fieldType,
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config: {},
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values: useFirstFieldAsHeaders ? values.slice(1) : values,
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};
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});
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return {
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...frame,
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fields: newFields,
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length: Math.max(...newFields.map((field) => field.values.length)),
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};
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});
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}
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function determineFieldType(fieldTypes: FieldType[]): FieldType {
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const uniqueFieldTypes = new Set(fieldTypes);
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return uniqueFieldTypes.size === 1 ? [...uniqueFieldTypes][0] : FieldType.string;
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}
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function fieldValuesAsStrings(field: Field, values: unknown[]) {
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switch (field.type) {
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case FieldType.time:
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case FieldType.number:
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case FieldType.boolean:
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case FieldType.string:
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return values.map((v) => `${v}`);
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case FieldType.enum:
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// @ts-ignore
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return values.map((v) => field.config.type!.enum!.text![v]);
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default:
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return values.map((v) => JSON.stringify(v));
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}
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}
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@@ -8,7 +8,7 @@
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Browse to http://localhost:3003/docs/grafana/latest/panels-visualizations/query-transform-data/transform-data/
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Refer to ./docs/README.md for more information about building docs.
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Refer to ./docs/README.md for more information about building docs.
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*/
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interface Link {
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@@ -286,8 +286,8 @@ This transformation allows you to extract and format data in various ways. You c
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name: 'Lookup fields from resource',
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getHelperDocs: function () {
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return `
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Use this transformation to enrich a field value by looking up additional fields from an external source.
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Use this transformation to enrich a field value by looking up additional fields from an external source.
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This transformation has the following fields:
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- **Field** - Select a text field from your dataset.
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@@ -436,7 +436,7 @@ Use this transformation to selectively remove parts of your query results. There
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#### Use a regular expression
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When you filter using a regular expression, field names that match the regular expression are included.
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When you filter using a regular expression, field names that match the regular expression are included.
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For example, from the input data:
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@@ -637,7 +637,7 @@ Use this transformation to construct a matrix by specifying fields from your que
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getHelperDocs: function (imageRenderType: ImageRenderType = ImageRenderType.ShortcodeFigure) {
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return `
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Use this transformation to group the data by a specified field (column) value and process calculations on each group. Records are generated that share the same grouped field value, to be displayed in a nested table.
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To calculate a statistic for a field, click the selection box next to it and select the **Calculate** option:
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${buildImageContent(
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@@ -0,0 +1,45 @@
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import {
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DataTransformerID,
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standardTransformers,
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TransformerRegistryItem,
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TransformerUIProps,
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TransformerCategory,
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} from '@grafana/data';
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import { TransposeTransformerOptions } from '@grafana/data/src/transformations/transformers/transpose';
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import { InlineField, InlineFieldRow, Input } from '@grafana/ui';
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export const TransposeTransfomerEditor = ({ options, onChange }: TransformerUIProps<TransposeTransformerOptions>) => {
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return (
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<>
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<InlineFieldRow>
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<InlineField label={'First field name'} labelWidth={24}>
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<Input
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placeholder="Field"
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value={options.firstFieldName}
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onChange={(e) => onChange({ ...options, firstFieldName: e.currentTarget.value })}
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width={25}
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/>
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</InlineField>
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</InlineFieldRow>
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<InlineFieldRow>
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<InlineField label={'Remaining fields name'} tooltip={'Name for value fields'} labelWidth={24}>
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<Input
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placeholder="Value"
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value={options.restFieldsName}
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onChange={(e) => onChange({ ...options, restFieldsName: e.currentTarget.value })}
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width={25}
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/>
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</InlineField>
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</InlineFieldRow>
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</>
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);
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};
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export const transposeTransformerRegistryItem: TransformerRegistryItem<TransposeTransformerOptions> = {
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id: DataTransformerID.transpose,
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editor: TransposeTransfomerEditor,
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transformation: standardTransformers.transposeTransformer,
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name: standardTransformers.transposeTransformer.name,
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description: standardTransformers.transposeTransformer.description,
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categories: new Set([TransformerCategory.Reformat]),
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};
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@@ -24,6 +24,7 @@ import { reduceTransformRegistryItem } from './editors/ReduceTransformerEditor';
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import { renameByRegexTransformRegistryItem } from './editors/RenameByRegexTransformer';
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import { seriesToRowsTransformerRegistryItem } from './editors/SeriesToRowsTransformerEditor';
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import { sortByTransformRegistryItem } from './editors/SortByTransformerEditor';
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import { transposeTransformerRegistryItem } from './editors/TransposeTransformerEditor';
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import { extractFieldsTransformRegistryItem } from './extractFields/ExtractFieldsTransformerEditor';
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import { joinByLabelsTransformRegistryItem } from './joinByLabels/JoinByLabelsTransformerEditor';
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import { fieldLookupTransformRegistryItem } from './lookupGazetteer/FieldLookupTransformerEditor';
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@@ -68,5 +69,6 @@ export const getStandardTransformers = (): Array<TransformerRegistryItem<any>> =
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...(config.featureToggles.groupToNestedTableTransformation ? [groupToNestedTableTransformRegistryItem] : []),
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formatTimeTransformerRegistryItem,
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timeSeriesTableTransformRegistryItem,
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transposeTransformerRegistryItem,
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||||
];
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||||
};
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File diff suppressed because one or more lines are too long
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After Width: | Height: | Size: 118 KiB |
File diff suppressed because one or more lines are too long
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After Width: | Height: | Size: 118 KiB |
@@ -0,0 +1,281 @@
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/* eslint-disable */
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/* tslint:disable */
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||||
|
||||
/**
|
||||
* Mock Service Worker.
|
||||
* @see https://github.com/mswjs/msw
|
||||
* - Please do NOT modify this file.
|
||||
* - Please do NOT serve this file on production.
|
||||
*/
|
||||
|
||||
const PACKAGE_VERSION = '2.4.10';
|
||||
const INTEGRITY_CHECKSUM = '26357c79639bfa20d64c0efca2a87423';
|
||||
const IS_MOCKED_RESPONSE = Symbol('isMockedResponse');
|
||||
const activeClientIds = new Set();
|
||||
|
||||
self.addEventListener('install', function () {
|
||||
self.skipWaiting();
|
||||
});
|
||||
|
||||
self.addEventListener('activate', function (event) {
|
||||
event.waitUntil(self.clients.claim());
|
||||
});
|
||||
|
||||
self.addEventListener('message', async function (event) {
|
||||
const clientId = event.source.id;
|
||||
|
||||
if (!clientId || !self.clients) {
|
||||
return;
|
||||
}
|
||||
|
||||
const client = await self.clients.get(clientId);
|
||||
|
||||
if (!client) {
|
||||
return;
|
||||
}
|
||||
|
||||
const allClients = await self.clients.matchAll({
|
||||
type: 'window',
|
||||
});
|
||||
|
||||
switch (event.data) {
|
||||
case 'KEEPALIVE_REQUEST': {
|
||||
sendToClient(client, {
|
||||
type: 'KEEPALIVE_RESPONSE',
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'INTEGRITY_CHECK_REQUEST': {
|
||||
sendToClient(client, {
|
||||
type: 'INTEGRITY_CHECK_RESPONSE',
|
||||
payload: {
|
||||
packageVersion: PACKAGE_VERSION,
|
||||
checksum: INTEGRITY_CHECKSUM,
|
||||
},
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'MOCK_ACTIVATE': {
|
||||
activeClientIds.add(clientId);
|
||||
|
||||
sendToClient(client, {
|
||||
type: 'MOCKING_ENABLED',
|
||||
payload: true,
|
||||
});
|
||||
break;
|
||||
}
|
||||
|
||||
case 'MOCK_DEACTIVATE': {
|
||||
activeClientIds.delete(clientId);
|
||||
break;
|
||||
}
|
||||
|
||||
case 'CLIENT_CLOSED': {
|
||||
activeClientIds.delete(clientId);
|
||||
|
||||
const remainingClients = allClients.filter((client) => {
|
||||
return client.id !== clientId;
|
||||
});
|
||||
|
||||
// Unregister itself when there are no more clients
|
||||
if (remainingClients.length === 0) {
|
||||
self.registration.unregister();
|
||||
}
|
||||
|
||||
break;
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
self.addEventListener('fetch', function (event) {
|
||||
const { request } = event;
|
||||
|
||||
// Bypass navigation requests.
|
||||
if (request.mode === 'navigate') {
|
||||
return;
|
||||
}
|
||||
|
||||
// Opening the DevTools triggers the "only-if-cached" request
|
||||
// that cannot be handled by the worker. Bypass such requests.
|
||||
if (request.cache === 'only-if-cached' && request.mode !== 'same-origin') {
|
||||
return;
|
||||
}
|
||||
|
||||
// Bypass all requests when there are no active clients.
|
||||
// Prevents the self-unregistered worked from handling requests
|
||||
// after it's been deleted (still remains active until the next reload).
|
||||
if (activeClientIds.size === 0) {
|
||||
return;
|
||||
}
|
||||
|
||||
// Generate unique request ID.
|
||||
const requestId = crypto.randomUUID();
|
||||
event.respondWith(handleRequest(event, requestId));
|
||||
});
|
||||
|
||||
async function handleRequest(event, requestId) {
|
||||
const client = await resolveMainClient(event);
|
||||
const response = await getResponse(event, client, requestId);
|
||||
|
||||
// Send back the response clone for the "response:*" life-cycle events.
|
||||
// Ensure MSW is active and ready to handle the message, otherwise
|
||||
// this message will pend indefinitely.
|
||||
if (client && activeClientIds.has(client.id)) {
|
||||
(async function () {
|
||||
const responseClone = response.clone();
|
||||
|
||||
sendToClient(
|
||||
client,
|
||||
{
|
||||
type: 'RESPONSE',
|
||||
payload: {
|
||||
requestId,
|
||||
isMockedResponse: IS_MOCKED_RESPONSE in response,
|
||||
type: responseClone.type,
|
||||
status: responseClone.status,
|
||||
statusText: responseClone.statusText,
|
||||
body: responseClone.body,
|
||||
headers: Object.fromEntries(responseClone.headers.entries()),
|
||||
},
|
||||
},
|
||||
[responseClone.body]
|
||||
);
|
||||
})();
|
||||
}
|
||||
|
||||
return response;
|
||||
}
|
||||
|
||||
// Resolve the main client for the given event.
|
||||
// Client that issues a request doesn't necessarily equal the client
|
||||
// that registered the worker. It's with the latter the worker should
|
||||
// communicate with during the response resolving phase.
|
||||
async function resolveMainClient(event) {
|
||||
const client = await self.clients.get(event.clientId);
|
||||
|
||||
if (client?.frameType === 'top-level') {
|
||||
return client;
|
||||
}
|
||||
|
||||
const allClients = await self.clients.matchAll({
|
||||
type: 'window',
|
||||
});
|
||||
|
||||
return allClients
|
||||
.filter((client) => {
|
||||
// Get only those clients that are currently visible.
|
||||
return client.visibilityState === 'visible';
|
||||
})
|
||||
.find((client) => {
|
||||
// Find the client ID that's recorded in the
|
||||
// set of clients that have registered the worker.
|
||||
return activeClientIds.has(client.id);
|
||||
});
|
||||
}
|
||||
|
||||
async function getResponse(event, client, requestId) {
|
||||
const { request } = event;
|
||||
|
||||
// Clone the request because it might've been already used
|
||||
// (i.e. its body has been read and sent to the client).
|
||||
const requestClone = request.clone();
|
||||
|
||||
function passthrough() {
|
||||
const headers = Object.fromEntries(requestClone.headers.entries());
|
||||
|
||||
// Remove internal MSW request header so the passthrough request
|
||||
// complies with any potential CORS preflight checks on the server.
|
||||
// Some servers forbid unknown request headers.
|
||||
delete headers['x-msw-intention'];
|
||||
|
||||
return fetch(requestClone, { headers });
|
||||
}
|
||||
|
||||
// Bypass mocking when the client is not active.
|
||||
if (!client) {
|
||||
return passthrough();
|
||||
}
|
||||
|
||||
// Bypass initial page load requests (i.e. static assets).
|
||||
// The absence of the immediate/parent client in the map of the active clients
|
||||
// means that MSW hasn't dispatched the "MOCK_ACTIVATE" event yet
|
||||
// and is not ready to handle requests.
|
||||
if (!activeClientIds.has(client.id)) {
|
||||
return passthrough();
|
||||
}
|
||||
|
||||
// Notify the client that a request has been intercepted.
|
||||
const requestBuffer = await request.arrayBuffer();
|
||||
const clientMessage = await sendToClient(
|
||||
client,
|
||||
{
|
||||
type: 'REQUEST',
|
||||
payload: {
|
||||
id: requestId,
|
||||
url: request.url,
|
||||
mode: request.mode,
|
||||
method: request.method,
|
||||
headers: Object.fromEntries(request.headers.entries()),
|
||||
cache: request.cache,
|
||||
credentials: request.credentials,
|
||||
destination: request.destination,
|
||||
integrity: request.integrity,
|
||||
redirect: request.redirect,
|
||||
referrer: request.referrer,
|
||||
referrerPolicy: request.referrerPolicy,
|
||||
body: requestBuffer,
|
||||
keepalive: request.keepalive,
|
||||
},
|
||||
},
|
||||
[requestBuffer]
|
||||
);
|
||||
|
||||
switch (clientMessage.type) {
|
||||
case 'MOCK_RESPONSE': {
|
||||
return respondWithMock(clientMessage.data);
|
||||
}
|
||||
|
||||
case 'PASSTHROUGH': {
|
||||
return passthrough();
|
||||
}
|
||||
}
|
||||
|
||||
return passthrough();
|
||||
}
|
||||
|
||||
function sendToClient(client, message, transferrables = []) {
|
||||
return new Promise((resolve, reject) => {
|
||||
const channel = new MessageChannel();
|
||||
|
||||
channel.port1.onmessage = (event) => {
|
||||
if (event.data && event.data.error) {
|
||||
return reject(event.data.error);
|
||||
}
|
||||
|
||||
resolve(event.data);
|
||||
};
|
||||
|
||||
client.postMessage(message, [channel.port2].concat(transferrables.filter(Boolean)));
|
||||
});
|
||||
}
|
||||
|
||||
async function respondWithMock(response) {
|
||||
// Setting response status code to 0 is a no-op.
|
||||
// However, when responding with a "Response.error()", the produced Response
|
||||
// instance will have status code set to 0. Since it's not possible to create
|
||||
// a Response instance with status code 0, handle that use-case separately.
|
||||
if (response.status === 0) {
|
||||
return Response.error();
|
||||
}
|
||||
|
||||
const mockedResponse = new Response(response.body, response);
|
||||
|
||||
Reflect.defineProperty(mockedResponse, IS_MOCKED_RESPONSE, {
|
||||
value: true,
|
||||
enumerable: true,
|
||||
});
|
||||
|
||||
return mockedResponse;
|
||||
}
|
||||
Reference in New Issue
Block a user