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Transformations: Add Group to Nested Tables Transformation (#79952)
* Stub group to subframe transformation
* Get proper field grouping
* Mostly working but fields not displaying 😭
* Fix display processing in nested tables
* Modularize and start merging groupBy and groupToSubrame
* Get this working
* Prettier
* Typing things
* More types
* Add option for showing subframe table headers
* Prettier
* Get tests going
* Update tests
* Fix naming and add icons
* Betterer fix
* Prettier
* Fix CSS object syntax
* Prettier
* Stub alert for calcs with grouping, start renaming
* Add logic to show warning message for calculations
* Add calc warning
* Renaming and feature flag
* Rename images
* Prettier
* Fix tests
* Update feature toggle
* Fix error showing extra blank row
* minor code cleanup
---------
Co-authored-by: nmarrs <nathanielmarrs@gmail.com>
This commit is contained in:
Kyle Cunningham
GitHub
parent
26bc87b60e
commit
756cd3c28b
@ -87,6 +87,7 @@ Some features are enabled by default. You can disable these feature by setting t
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| `canvasPanelPanZoom` | Allow pan and zoom in canvas panel |
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| `regressionTransformation` | Enables regression analysis transformation |
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| `alertingPreviewUpgrade` | Show Unified Alerting preview and upgrade page in legacy alerting |
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| `groupToNestedTableTransformation` | Enables the group to nested table transformation |
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## Experimental feature toggles
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@ -206,6 +206,13 @@ export function applyFieldOverrides(options: ApplyFieldOverrideOptions): DataFra
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for (const nestedFrames of field.values) {
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for (let nfIndex = 0; nfIndex < nestedFrames.length; nfIndex++) {
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for (const valueField of nestedFrames[nfIndex].fields) {
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// Get display processor for nested fields
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valueField.display = getDisplayProcessor({
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field: valueField,
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theme: options.theme,
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timeZone: options.timeZone,
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});
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valueField.state = {
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scopedVars: {
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__dataContext: {
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@ -9,6 +9,7 @@ import { filterByValueTransformer } from './transformers/filterByValue';
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import { formatStringTransformer } from './transformers/formatString';
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import { formatTimeTransformer } from './transformers/formatTime';
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import { groupByTransformer } from './transformers/groupBy';
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import { groupToNestedTable } from './transformers/groupToNestedTable';
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import { groupingToMatrixTransformer } from './transformers/groupingToMatrix';
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import { histogramTransformer } from './transformers/histogram';
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import { joinByFieldTransformer } from './transformers/joinByField';
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@ -53,4 +54,5 @@ export const standardTransformers = {
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convertFieldTypeTransformer,
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groupingToMatrixTransformer,
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limitTransformer,
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groupToNestedTable,
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};
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@ -22,6 +22,10 @@ export interface GroupByTransformerOptions {
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fields: Record<string, GroupByFieldOptions>;
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}
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interface FieldMap {
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[key: string]: Field;
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}
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export const groupByTransformer: DataTransformerInfo<GroupByTransformerOptions> = {
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id: DataTransformerID.groupBy,
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name: 'Group by',
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@ -75,64 +79,19 @@ export const groupByTransformer: DataTransformerInfo<GroupByTransformerOptions>
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const processed: DataFrame[] = [];
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for (const frame of data) {
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const groupByFields: Field[] = [];
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for (const field of frame.fields) {
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if (shouldGroupOnField(field, options)) {
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groupByFields.push(field);
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}
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}
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// Create a list of fields to group on
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// If there are none we skip the rest
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const groupByFields: Field[] = frame.fields.filter((field) => shouldGroupOnField(field, options));
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if (groupByFields.length === 0) {
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continue; // No group by field in this frame, ignore the frame
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continue;
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}
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// Group the values by fields and groups so we can get all values for a
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// group for a given field.
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const valuesByGroupKey = new Map<string, Record<string, Field>>();
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for (let rowIndex = 0; rowIndex < frame.length; rowIndex++) {
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const groupKey = String(groupByFields.map((field) => field.values[rowIndex]));
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const valuesByField = valuesByGroupKey.get(groupKey) ?? {};
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const valuesByGroupKey = groupValuesByKey(frame, groupByFields);
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if (!valuesByGroupKey.has(groupKey)) {
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valuesByGroupKey.set(groupKey, valuesByField);
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}
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for (let field of frame.fields) {
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const fieldName = getFieldDisplayName(field);
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if (!valuesByField[fieldName]) {
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valuesByField[fieldName] = {
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name: fieldName,
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type: field.type,
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config: { ...field.config },
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values: [],
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};
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}
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valuesByField[fieldName].values.push(field.values[rowIndex]);
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}
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}
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const fields: Field[] = [];
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for (const field of groupByFields) {
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const values: unknown[] = [];
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const fieldName = getFieldDisplayName(field);
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valuesByGroupKey.forEach((value) => {
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values.push(value[fieldName].values[0]);
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});
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fields.push({
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name: field.name,
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type: field.type,
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config: {
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...field.config,
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},
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values: values,
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});
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}
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// Add the grouped fields to the resulting fields of the transformation
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const fields: Field[] = createGroupedFields(groupByFields, valuesByGroupKey);
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// Then for each calculations configured, compute and add a new field (column)
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for (const field of frame.fields) {
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@ -197,7 +156,7 @@ const shouldCalculateField = (field: Field, options: GroupByTransformerOptions):
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);
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};
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const detectFieldType = (aggregation: string, sourceField: Field, targetField: Field): FieldType => {
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function detectFieldType(aggregation: string, sourceField: Field, targetField: Field): FieldType {
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switch (aggregation) {
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case ReducerID.allIsNull:
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return FieldType.boolean;
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@ -209,4 +168,75 @@ const detectFieldType = (aggregation: string, sourceField: Field, targetField: F
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default:
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return guessFieldTypeForField(targetField) ?? FieldType.string;
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}
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};
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}
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/**
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* Groups values together by key. This will create a mapping of strings
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* to _FieldMaps_ that will then be used to group values on.
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*
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* @param frame
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* The dataframe containing the data to group.
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* @param groupByFields
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* An array of fields to group on.
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*/
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export function groupValuesByKey(frame: DataFrame, groupByFields: Field[]) {
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const valuesByGroupKey = new Map<string, FieldMap>();
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for (let rowIndex = 0; rowIndex < frame.length; rowIndex++) {
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const groupKey = String(groupByFields.map((field) => field.values[rowIndex]));
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const valuesByField = valuesByGroupKey.get(groupKey) ?? {};
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if (!valuesByGroupKey.has(groupKey)) {
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valuesByGroupKey.set(groupKey, valuesByField);
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}
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for (let field of frame.fields) {
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const fieldName = getFieldDisplayName(field);
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if (!valuesByField[fieldName]) {
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valuesByField[fieldName] = {
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name: fieldName,
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type: field.type,
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config: { ...field.config },
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values: [],
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};
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}
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valuesByField[fieldName].values.push(field.values[rowIndex]);
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}
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}
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return valuesByGroupKey;
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}
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/**
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* Create new fields which will be used to display grouped values.
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*
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* @param groupByFields
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* @param valuesByGroupKey
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* @returns
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* Returns an array of fields that have been grouped.
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*/
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export function createGroupedFields(groupByFields: Field[], valuesByGroupKey: Map<string, FieldMap>): Field[] {
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const fields: Field[] = [];
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for (const field of groupByFields) {
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const values: unknown[] = [];
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const fieldName = getFieldDisplayName(field);
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valuesByGroupKey.forEach((value) => {
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values.push(value[fieldName].values[0]);
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});
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fields.push({
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name: field.name,
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type: field.type,
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config: {
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...field.config,
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},
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values,
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});
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}
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return fields;
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}
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@ -0,0 +1,243 @@
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import { toDataFrame } from '../../dataframe/processDataFrame';
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import { DataTransformerConfig, Field, FieldType } from '../../types';
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import { mockTransformationsRegistry } from '../../utils/tests/mockTransformationsRegistry';
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import { ReducerID } from '../fieldReducer';
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import { transformDataFrame } from '../transformDataFrame';
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import { GroupByOperationID, GroupByTransformerOptions } from './groupBy';
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import { groupToNestedTable, GroupToNestedTableTransformerOptions } from './groupToNestedTable';
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import { DataTransformerID } from './ids';
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describe('GroupToSubframe transformer', () => {
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beforeAll(() => {
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mockTransformationsRegistry([groupToNestedTable]);
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});
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it('should group values by message and place values in subframe', async () => {
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const testSeries = toDataFrame({
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name: 'A',
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fields: [
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{ name: 'time', type: FieldType.time, values: [3000, 4000, 5000, 6000, 7000, 8000] },
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{ name: 'message', type: FieldType.string, values: ['one', 'two', 'two', 'three', 'three', 'three'] },
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{ name: 'values', type: FieldType.string, values: [1, 2, 2, 3, 3, 3] },
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],
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});
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const cfg: DataTransformerConfig<GroupToNestedTableTransformerOptions> = {
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id: DataTransformerID.groupToNestedTable,
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options: {
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fields: {
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message: {
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operation: GroupByOperationID.groupBy,
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aggregations: [],
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},
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},
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},
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};
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await expect(transformDataFrame([cfg], [testSeries])).toEmitValuesWith((received) => {
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const result = received[0];
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const expected: Field[] = [
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{
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name: 'message',
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type: FieldType.string,
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config: {},
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values: ['one', 'two', 'three'],
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},
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{
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name: 'Nested frames',
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type: FieldType.nestedFrames,
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config: {},
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values: [
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[
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{
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meta: { custom: { noHeader: false } },
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length: 1,
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fields: [
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{ name: 'time', type: 'time', config: {}, values: [3000] },
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{ name: 'values', type: 'string', config: {}, values: [1] },
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],
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},
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],
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[
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{
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meta: { custom: { noHeader: false } },
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length: 2,
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fields: [
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{
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name: 'time',
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type: 'time',
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config: {},
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values: [4000, 5000],
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},
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{
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name: 'values',
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type: 'string',
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config: {},
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values: [2, 2],
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},
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],
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},
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],
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[
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{
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meta: { custom: { noHeader: false } },
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length: 3,
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fields: [
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{
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name: 'time',
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type: 'time',
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config: {},
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values: [6000, 7000, 8000],
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},
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{
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name: 'values',
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type: 'string',
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config: {},
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values: [3, 3, 3],
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},
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],
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},
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],
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],
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},
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];
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expect(result[0].fields).toEqual(expected);
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});
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});
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it('should group by message, compute a few calculations for each group of values, and place other values in a subframe', async () => {
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const testSeries = toDataFrame({
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name: 'A',
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fields: [
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{ name: 'time', type: FieldType.time, values: [3000, 4000, 5000, 6000, 7000, 8000] },
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{ name: 'message', type: FieldType.string, values: ['one', 'two', 'two', 'three', 'three', 'three'] },
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{ name: 'values', type: FieldType.number, values: [1, 2, 2, 3, 3, 3] },
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{ name: 'intVal', type: FieldType.number, values: [1, 2, 3, 4, 5, 6] },
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{ name: 'floatVal', type: FieldType.number, values: [1.1, 2.3, 3.6, 4.8, 5.7, 6.9] },
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],
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});
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const cfg: DataTransformerConfig<GroupByTransformerOptions> = {
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id: DataTransformerID.groupToNestedTable,
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options: {
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fields: {
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message: {
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operation: GroupByOperationID.groupBy,
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aggregations: [],
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},
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values: {
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operation: GroupByOperationID.aggregate,
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aggregations: [ReducerID.sum],
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},
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},
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},
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};
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await expect(transformDataFrame([cfg], [testSeries])).toEmitValuesWith((received) => {
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const result = received[0];
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const expected: Field[] = [
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{
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name: 'message',
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type: FieldType.string,
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config: {},
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values: ['one', 'two', 'three'],
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},
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{
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name: 'values (sum)',
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values: [1, 4, 9],
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type: FieldType.number,
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config: {},
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},
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{
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config: {},
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name: 'Nested frames',
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type: FieldType.nestedFrames,
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values: [
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[
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{
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meta: { custom: { noHeader: false } },
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length: 1,
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fields: [
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{
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name: 'time',
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type: 'time',
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config: {},
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values: [3000],
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},
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{
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name: 'intVal',
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type: 'number',
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config: {},
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values: [1],
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},
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{
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name: 'floatVal',
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type: 'number',
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config: {},
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values: [1.1],
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},
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],
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},
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],
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[
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{
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meta: { custom: { noHeader: false } },
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length: 2,
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fields: [
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{
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name: 'time',
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type: 'time',
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config: {},
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values: [4000, 5000],
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},
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{
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name: 'intVal',
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type: 'number',
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config: {},
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values: [2, 3],
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},
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{
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name: 'floatVal',
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type: 'number',
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config: {},
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values: [2.3, 3.6],
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},
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],
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},
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],
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[
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{
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meta: { custom: { noHeader: false } },
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length: 3,
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fields: [
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{
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name: 'time',
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type: 'time',
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config: {},
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values: [6000, 7000, 8000],
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},
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{
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name: 'intVal',
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type: 'number',
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config: {},
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values: [4, 5, 6],
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},
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{
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name: 'floatVal',
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type: 'number',
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config: {},
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values: [4.8, 5.7, 6.9],
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},
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],
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},
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],
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],
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},
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];
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expect(result[0].fields).toEqual(expected);
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});
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});
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});
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@ -0,0 +1,235 @@
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import { map } from 'rxjs/operators';
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import { guessFieldTypeForField } from '../../dataframe/processDataFrame';
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import { getFieldDisplayName } from '../../field/fieldState';
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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 { ReducerID, reduceField } from '../fieldReducer';
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import { GroupByFieldOptions, createGroupedFields, groupValuesByKey } from './groupBy';
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import { DataTransformerID } from './ids';
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export const SHOW_NESTED_HEADERS_DEFAULT = true;
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export enum GroupByOperationID {
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aggregate = 'aggregate',
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groupBy = 'groupby',
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}
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export interface GroupToNestedTableTransformerOptions {
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showSubframeHeaders?: boolean;
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fields: Record<string, GroupByFieldOptions>;
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}
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|
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interface FieldMap {
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[key: string]: Field;
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}
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export const groupToNestedTable: DataTransformerInfo<GroupToNestedTableTransformerOptions> = {
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id: DataTransformerID.groupToNestedTable,
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name: 'Group to nested tables',
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description: 'Group data by a field value and create nested tables with the grouped data',
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defaultOptions: {
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showSubframeHeaders: SHOW_NESTED_HEADERS_DEFAULT,
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fields: {},
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},
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/**
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* Return a modified copy of the series. If the transform is not or should not
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* be applied, just return the input series
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*/
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operator: (options) => (source) =>
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source.pipe(
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map((data) => {
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const hasValidConfig = Object.keys(options.fields).find(
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(name) => options.fields[name].operation === GroupByOperationID.groupBy
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);
|
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if (!hasValidConfig) {
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return data;
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}
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const processed: DataFrame[] = [];
|
||||
|
||||
for (const frame of data) {
|
||||
// Create a list of fields to group on
|
||||
// If there are none we skip the rest
|
||||
const groupByFields: Field[] = frame.fields.filter((field) => shouldGroupOnField(field, options));
|
||||
if (groupByFields.length === 0) {
|
||||
continue;
|
||||
}
|
||||
|
||||
// Group the values by fields and groups so we can get all values for a
|
||||
// group for a given field.
|
||||
const valuesByGroupKey = groupValuesByKey(frame, groupByFields);
|
||||
|
||||
// Add the grouped fields to the resulting fields of the transformation
|
||||
const fields: Field[] = createGroupedFields(groupByFields, valuesByGroupKey);
|
||||
|
||||
// Group data into sub frames so they will display as tables
|
||||
const subFrames: DataFrame[][] = groupToSubframes(valuesByGroupKey, options);
|
||||
|
||||
// Then for each calculations configured, compute and add a new field (column)
|
||||
for (let i = 0; i < frame.fields.length; i++) {
|
||||
const field = frame.fields[i];
|
||||
|
||||
if (!shouldCalculateField(field, options)) {
|
||||
continue;
|
||||
}
|
||||
|
||||
const fieldName = getFieldDisplayName(field);
|
||||
const aggregations = options.fields[fieldName].aggregations;
|
||||
const valuesByAggregation: Record<string, unknown[]> = {};
|
||||
|
||||
valuesByGroupKey.forEach((value) => {
|
||||
const fieldWithValuesForGroup = value[fieldName];
|
||||
const results = reduceField({
|
||||
field: fieldWithValuesForGroup,
|
||||
reducers: aggregations,
|
||||
});
|
||||
|
||||
for (const aggregation of aggregations) {
|
||||
if (!Array.isArray(valuesByAggregation[aggregation])) {
|
||||
valuesByAggregation[aggregation] = [];
|
||||
}
|
||||
valuesByAggregation[aggregation].push(results[aggregation]);
|
||||
}
|
||||
});
|
||||
|
||||
for (const aggregation of aggregations) {
|
||||
const aggregationField: Field = {
|
||||
name: `${fieldName} (${aggregation})`,
|
||||
values: valuesByAggregation[aggregation],
|
||||
type: FieldType.other,
|
||||
config: {},
|
||||
};
|
||||
|
||||
aggregationField.type = detectFieldType(aggregation, field, aggregationField);
|
||||
fields.push(aggregationField);
|
||||
}
|
||||
}
|
||||
|
||||
fields.push({
|
||||
config: {},
|
||||
name: 'Nested frames',
|
||||
type: FieldType.nestedFrames,
|
||||
values: subFrames,
|
||||
});
|
||||
|
||||
processed.push({
|
||||
fields,
|
||||
length: valuesByGroupKey.size,
|
||||
});
|
||||
}
|
||||
|
||||
return processed;
|
||||
})
|
||||
),
|
||||
};
|
||||
|
||||
/**
|
||||
* Given the appropriate data, create a sub-frame
|
||||
* which can then be displayed in a sub-table.
|
||||
*/
|
||||
function createSubframe(fields: Field[], frameLength: number, options: GroupToNestedTableTransformerOptions) {
|
||||
const showHeaders =
|
||||
options.showSubframeHeaders === undefined ? SHOW_NESTED_HEADERS_DEFAULT : options.showSubframeHeaders;
|
||||
|
||||
return {
|
||||
meta: { custom: { noHeader: !showHeaders } },
|
||||
length: frameLength,
|
||||
fields,
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Determines whether a field should be grouped on.
|
||||
*
|
||||
* @returns boolean
|
||||
* This will return _true_ if a field should be grouped on and _false_ if it should not.
|
||||
*/
|
||||
const shouldGroupOnField = (field: Field, options: GroupToNestedTableTransformerOptions): boolean => {
|
||||
const fieldName = getFieldDisplayName(field);
|
||||
return options?.fields[fieldName]?.operation === GroupByOperationID.groupBy;
|
||||
};
|
||||
|
||||
/**
|
||||
* Determines whether field aggregations should be calculated
|
||||
* @returns boolean
|
||||
* This will return _true_ if a field should be calculated and _false_ if it should not.
|
||||
*/
|
||||
const shouldCalculateField = (field: Field, options: GroupToNestedTableTransformerOptions): boolean => {
|
||||
const fieldName = getFieldDisplayName(field);
|
||||
return (
|
||||
options?.fields[fieldName]?.operation === GroupByOperationID.aggregate &&
|
||||
Array.isArray(options?.fields[fieldName].aggregations) &&
|
||||
options?.fields[fieldName].aggregations.length > 0
|
||||
);
|
||||
};
|
||||
|
||||
/**
|
||||
* Detect the type of field given the relevant aggregation.
|
||||
*/
|
||||
const detectFieldType = (aggregation: string, sourceField: Field, targetField: Field): FieldType => {
|
||||
switch (aggregation) {
|
||||
case ReducerID.allIsNull:
|
||||
return FieldType.boolean;
|
||||
case ReducerID.last:
|
||||
case ReducerID.lastNotNull:
|
||||
case ReducerID.first:
|
||||
case ReducerID.firstNotNull:
|
||||
return sourceField.type;
|
||||
default:
|
||||
return guessFieldTypeForField(targetField) ?? FieldType.string;
|
||||
}
|
||||
};
|
||||
|
||||
/**
|
||||
* Group values into subframes so that they'll be displayed
|
||||
* inside of a subtable.
|
||||
*
|
||||
* @param valuesByGroupKey
|
||||
* A mapping of group keys to their respective grouped values.
|
||||
* @param options
|
||||
* Transformation options, which are used to find ungrouped/unaggregated fields.
|
||||
* @returns
|
||||
*/
|
||||
function groupToSubframes(
|
||||
valuesByGroupKey: Map<string, FieldMap>,
|
||||
options: GroupToNestedTableTransformerOptions
|
||||
): DataFrame[][] {
|
||||
const subFrames: DataFrame[][] = [];
|
||||
|
||||
// Construct a subframe of any fields
|
||||
// that aren't being group on or reduced
|
||||
for (const [, value] of valuesByGroupKey) {
|
||||
const nestedFields: Field[] = [];
|
||||
|
||||
for (const [fieldName, field] of Object.entries(value)) {
|
||||
const fieldOpts = options.fields[fieldName];
|
||||
|
||||
if (fieldOpts === undefined) {
|
||||
nestedFields.push(field);
|
||||
}
|
||||
// Depending on the configuration form state all of the following are possible
|
||||
else if (
|
||||
fieldOpts.aggregations === undefined ||
|
||||
(fieldOpts.operation === GroupByOperationID.aggregate && fieldOpts.aggregations.length === 0) ||
|
||||
fieldOpts.operation === null ||
|
||||
fieldOpts.operation === undefined
|
||||
) {
|
||||
nestedFields.push(field);
|
||||
}
|
||||
}
|
||||
|
||||
// If there are any values in the subfields
|
||||
// push a new subframe with the fields
|
||||
// otherwise push an empty frame
|
||||
if (nestedFields.length > 0) {
|
||||
subFrames.push([createSubframe(nestedFields, nestedFields[0].values.length, options)]);
|
||||
} else {
|
||||
subFrames.push([createSubframe([], 0, options)]);
|
||||
}
|
||||
}
|
||||
|
||||
return subFrames;
|
||||
}
|
||||
@ -40,4 +40,5 @@ export enum DataTransformerID {
|
||||
formatTime = 'formatTime',
|
||||
formatString = 'formatString',
|
||||
regression = 'regression',
|
||||
groupToNestedTable = 'groupToNestedTable',
|
||||
}
|
||||
|
||||
@ -173,4 +173,5 @@ export interface FeatureToggles {
|
||||
alertingSaveStatePeriodic?: boolean;
|
||||
promQLScope?: boolean;
|
||||
nodeGraphDotLayout?: boolean;
|
||||
groupToNestedTableTransformation?: boolean;
|
||||
}
|
||||
|
||||
@ -1310,5 +1310,13 @@ var (
|
||||
Owner: grafanaObservabilityTracesAndProfilingSquad,
|
||||
Created: time.Date(2024, time.January, 2, 12, 0, 0, 0, time.UTC),
|
||||
},
|
||||
{
|
||||
Name: "groupToNestedTableTransformation",
|
||||
Description: "Enables the group to nested table transformation",
|
||||
Stage: FeatureStagePublicPreview,
|
||||
FrontendOnly: true,
|
||||
Owner: grafanaDatavizSquad,
|
||||
Created: time.Date(2024, time.February, 5, 12, 0, 0, 0, time.UTC),
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
@ -154,3 +154,4 @@ onPremToCloudMigrations,experimental,@grafana/grafana-operator-experience-squad,
|
||||
alertingSaveStatePeriodic,privatePreview,@grafana/alerting-squad,2024-01-22,false,false,false
|
||||
promQLScope,experimental,@grafana/observability-metrics,2024-01-29,false,false,false
|
||||
nodeGraphDotLayout,experimental,@grafana/observability-traces-and-profiling,2024-01-02,false,false,true
|
||||
groupToNestedTableTransformation,preview,@grafana/dataviz-squad,2024-02-05,false,false,true
|
||||
|
||||
|
@ -626,4 +626,8 @@ const (
|
||||
// FlagNodeGraphDotLayout
|
||||
// Changed the layout algorithm for the node graph
|
||||
FlagNodeGraphDotLayout = "nodeGraphDotLayout"
|
||||
|
||||
// FlagGroupToNestedTableTransformation
|
||||
// Enables the group to nested table transformation
|
||||
FlagGroupToNestedTableTransformation = "groupToNestedTableTransformation"
|
||||
)
|
||||
|
||||
@ -16,7 +16,7 @@ import {
|
||||
GroupByOperationID,
|
||||
GroupByTransformerOptions,
|
||||
} from '@grafana/data/src/transformations/transformers/groupBy';
|
||||
import { useTheme2, Select, StatsPicker, InlineField, Stack } from '@grafana/ui';
|
||||
import { useTheme2, Select, StatsPicker, InlineField, Stack, Alert } from '@grafana/ui';
|
||||
|
||||
import { getTransformationContent } from '../docs/getTransformationContent';
|
||||
import { useAllFieldNamesFromDataFrames } from '../utils';
|
||||
@ -49,8 +49,28 @@ export const GroupByTransformerEditor = ({
|
||||
[onChange]
|
||||
);
|
||||
|
||||
// See if there's both an aggregation and grouping field configured
|
||||
// for calculations. If not we display a warning because there
|
||||
// needs to be a grouping for the calculation to have effect
|
||||
let hasGrouping,
|
||||
hasAggregation = false;
|
||||
|
||||
for (const field of Object.values(options.fields)) {
|
||||
if (field.aggregations.length > 0 && field.operation !== null) {
|
||||
hasAggregation = true;
|
||||
}
|
||||
if (field.operation === GroupByOperationID.groupBy) {
|
||||
hasGrouping = true;
|
||||
}
|
||||
}
|
||||
|
||||
const showCalcAlert = hasAggregation && !hasGrouping;
|
||||
|
||||
return (
|
||||
<div>
|
||||
<Stack direction="column">
|
||||
{showCalcAlert && (
|
||||
<Alert title="Calculations will not have an effect if no fields are being grouped on." severity="warning" />
|
||||
)}
|
||||
{fieldNames.map((key) => (
|
||||
<GroupByFieldConfiguration
|
||||
onConfigChange={onConfigChange(key)}
|
||||
@ -59,7 +79,7 @@ export const GroupByTransformerEditor = ({
|
||||
key={key}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
</Stack>
|
||||
);
|
||||
};
|
||||
|
||||
|
||||
@ -0,0 +1,185 @@
|
||||
import { css } from '@emotion/css';
|
||||
import React, { useCallback } from 'react';
|
||||
|
||||
import {
|
||||
DataTransformerID,
|
||||
ReducerID,
|
||||
SelectableValue,
|
||||
standardTransformers,
|
||||
TransformerRegistryItem,
|
||||
TransformerUIProps,
|
||||
TransformerCategory,
|
||||
GrafanaTheme2,
|
||||
} from '@grafana/data';
|
||||
import {
|
||||
GroupByFieldOptions,
|
||||
GroupByOperationID,
|
||||
GroupByTransformerOptions,
|
||||
} from '@grafana/data/src/transformations/transformers/groupBy';
|
||||
import {
|
||||
GroupToNestedTableTransformerOptions,
|
||||
SHOW_NESTED_HEADERS_DEFAULT,
|
||||
} from '@grafana/data/src/transformations/transformers/groupToNestedTable';
|
||||
import { Stack } from '@grafana/experimental';
|
||||
import { useTheme2, Select, StatsPicker, InlineField, Field, Switch, Alert } from '@grafana/ui';
|
||||
|
||||
import { useAllFieldNamesFromDataFrames } from '../utils';
|
||||
|
||||
interface FieldProps {
|
||||
fieldName: string;
|
||||
config?: GroupByFieldOptions;
|
||||
onConfigChange: (config: GroupByFieldOptions) => void;
|
||||
}
|
||||
|
||||
export const GroupToNestedTableTransformerEditor = ({
|
||||
input,
|
||||
options,
|
||||
onChange,
|
||||
}: TransformerUIProps<GroupToNestedTableTransformerOptions>) => {
|
||||
const fieldNames = useAllFieldNamesFromDataFrames(input);
|
||||
const showHeaders =
|
||||
options.showSubframeHeaders === undefined ? SHOW_NESTED_HEADERS_DEFAULT : options.showSubframeHeaders;
|
||||
|
||||
const onConfigChange = useCallback(
|
||||
(fieldName: string) => (config: GroupByFieldOptions) => {
|
||||
onChange({
|
||||
...options,
|
||||
fields: {
|
||||
...options.fields,
|
||||
[fieldName]: config,
|
||||
},
|
||||
});
|
||||
},
|
||||
// Adding options to the dependency array causes infinite loop here.
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
[onChange]
|
||||
);
|
||||
|
||||
const onShowFieldNamesChange = useCallback(
|
||||
() => {
|
||||
const showSubframeHeaders =
|
||||
options.showSubframeHeaders === undefined ? !SHOW_NESTED_HEADERS_DEFAULT : !options.showSubframeHeaders;
|
||||
|
||||
onChange({
|
||||
showSubframeHeaders,
|
||||
fields: {
|
||||
...options.fields,
|
||||
},
|
||||
});
|
||||
},
|
||||
// Adding options to the dependency array causes infinite loop here.
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
[onChange]
|
||||
);
|
||||
|
||||
// See if there's both an aggregation and grouping field configured
|
||||
// for calculations. If not we display a warning because there
|
||||
// needs to be a grouping for the calculation to have effect
|
||||
let hasGrouping,
|
||||
hasAggregation = false;
|
||||
for (const field of Object.values(options.fields)) {
|
||||
if (field.aggregations.length > 0 && field.operation !== null) {
|
||||
hasAggregation = true;
|
||||
}
|
||||
if (field.operation === GroupByOperationID.groupBy) {
|
||||
hasGrouping = true;
|
||||
}
|
||||
}
|
||||
const showCalcAlert = hasAggregation && !hasGrouping;
|
||||
|
||||
return (
|
||||
<Stack direction="column">
|
||||
{showCalcAlert && (
|
||||
<Alert title="Calculations will not have an effect if no fields are being grouped on." severity="warning" />
|
||||
)}
|
||||
<div>
|
||||
{fieldNames.map((key) => (
|
||||
<GroupByFieldConfiguration
|
||||
onConfigChange={onConfigChange(key)}
|
||||
fieldName={key}
|
||||
config={options.fields[key]}
|
||||
key={key}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
<Field
|
||||
label="Show field names in nested tables"
|
||||
description="If enabled nested tables will show field names as a table header"
|
||||
>
|
||||
<Switch value={showHeaders} onChange={onShowFieldNamesChange} />
|
||||
</Field>
|
||||
</Stack>
|
||||
);
|
||||
};
|
||||
|
||||
const options = [
|
||||
{ label: 'Group by', value: GroupByOperationID.groupBy },
|
||||
{ label: 'Calculate', value: GroupByOperationID.aggregate },
|
||||
];
|
||||
|
||||
export const GroupByFieldConfiguration = ({ fieldName, config, onConfigChange }: FieldProps) => {
|
||||
const theme = useTheme2();
|
||||
const styles = getStyles(theme);
|
||||
|
||||
const onChange = useCallback(
|
||||
(value: SelectableValue<GroupByOperationID | null>) => {
|
||||
onConfigChange({
|
||||
aggregations: config?.aggregations ?? [],
|
||||
operation: value?.value ?? null,
|
||||
});
|
||||
},
|
||||
[config, onConfigChange]
|
||||
);
|
||||
|
||||
return (
|
||||
<InlineField className={styles.label} label={fieldName} grow shrink>
|
||||
<Stack gap={0.5} direction="row" wrap={false}>
|
||||
<div className={styles.operation}>
|
||||
<Select options={options} value={config?.operation} placeholder="Ignored" onChange={onChange} isClearable />
|
||||
</div>
|
||||
|
||||
{config?.operation === GroupByOperationID.aggregate && (
|
||||
<StatsPicker
|
||||
className={styles.aggregations}
|
||||
placeholder="Select Stats"
|
||||
allowMultiple
|
||||
stats={config.aggregations}
|
||||
onChange={(stats) => {
|
||||
// eslint-disable-next-line
|
||||
onConfigChange({ ...config, aggregations: stats as ReducerID[] });
|
||||
}}
|
||||
/>
|
||||
)}
|
||||
</Stack>
|
||||
</InlineField>
|
||||
);
|
||||
};
|
||||
|
||||
const getStyles = (theme: GrafanaTheme2) => {
|
||||
return {
|
||||
label: css({
|
||||
minWidth: theme.spacing(32),
|
||||
}),
|
||||
operation: css({
|
||||
flexShrink: 0,
|
||||
height: '100%',
|
||||
width: theme.spacing(24),
|
||||
}),
|
||||
aggregations: css({
|
||||
flexGrow: 1,
|
||||
}),
|
||||
};
|
||||
};
|
||||
|
||||
export const groupToNestedTableTransformRegistryItem: TransformerRegistryItem<GroupByTransformerOptions> = {
|
||||
id: DataTransformerID.groupToNestedTable,
|
||||
editor: GroupToNestedTableTransformerEditor,
|
||||
transformation: standardTransformers.groupToNestedTable,
|
||||
name: standardTransformers.groupToNestedTable.name,
|
||||
description: standardTransformers.groupToNestedTable.description,
|
||||
categories: new Set([
|
||||
TransformerCategory.Combine,
|
||||
TransformerCategory.CalculateNewFields,
|
||||
TransformerCategory.Reformat,
|
||||
]),
|
||||
};
|
||||
@ -12,6 +12,7 @@ import { filterFramesByRefIdTransformRegistryItem } from './editors/FilterByRefI
|
||||
import { formatStringTransformerRegistryItem } from './editors/FormatStringTransformerEditor';
|
||||
import { formatTimeTransformerRegistryItem } from './editors/FormatTimeTransformerEditor';
|
||||
import { groupByTransformRegistryItem } from './editors/GroupByTransformerEditor';
|
||||
import { groupToNestedTableTransformRegistryItem } from './editors/GroupToNestedTableTransformerEditor';
|
||||
import { groupingToMatrixTransformRegistryItem } from './editors/GroupingToMatrixTransformerEditor';
|
||||
import { histogramTransformRegistryItem } from './editors/HistogramTransformerEditor';
|
||||
import { joinByFieldTransformerRegistryItem } from './editors/JoinByFieldTransformerEditor';
|
||||
@ -64,6 +65,7 @@ export const getStandardTransformers = (): Array<TransformerRegistryItem<any>> =
|
||||
partitionByValuesTransformRegistryItem,
|
||||
...(config.featureToggles.formatString ? [formatStringTransformerRegistryItem] : []),
|
||||
...(config.featureToggles.regressionTransformation ? [regressionTransformerRegistryItem] : []),
|
||||
...(config.featureToggles.groupToNestedTableTransformation ? [groupToNestedTableTransformRegistryItem] : []),
|
||||
formatTimeTransformerRegistryItem,
|
||||
timeSeriesTableTransformRegistryItem,
|
||||
];
|
||||
|
||||
52
public/img/transformations/dark/groupToNestedTable.svg
Normal file
52
public/img/transformations/dark/groupToNestedTable.svg
Normal file
@ -0,0 +1,52 @@
|
||||
<svg width="106" height="50" viewBox="0 0 106 50" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<g clip-path="url(#clip0_1899_468)">
|
||||
<path d="M0 0.800641V10H24V1.05456e-06H1.00292L0.000198677 0L0 0.800641Z" fill="url(#paint0_linear_1899_468)"/>
|
||||
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Reference in New Issue
Block a user