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FieldDisplayName: Make field display names unique if field name exists more than once (#27963)
* FieldDisplayName: Make field display names unique if fields with same name exists * Updated tests * Minor optimization * Updated seriesToColumns test * Fixed arrow data frame test
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@ -43,7 +43,7 @@ describe('Read/Write arrow Table to DataFrame', () => {
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],
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});
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const table = grafanaDataFrameToArrowTable(frame);
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const table = grafanaDataFrameToArrowTable(frame, true);
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expect(table.length).toEqual(frame.length);
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// Now back to DataFrame
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@ -54,6 +54,40 @@ describe('Check field state calculations (displayName and id)', () => {
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expect(title).toEqual('Series A Field 1');
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});
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it('should add field name count to name if it exists more than once and is equal to TIME_SERIES_VALUE_FIELD_NAME', () => {
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const title = checkScenario({
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frames: [
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toDataFrame({
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fields: [{ name: TIME_SERIES_VALUE_FIELD_NAME }, { name: TIME_SERIES_VALUE_FIELD_NAME }],
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}),
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],
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});
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const title2 = checkScenario({
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frames: [
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toDataFrame({
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fields: [{ name: TIME_SERIES_VALUE_FIELD_NAME }, { name: TIME_SERIES_VALUE_FIELD_NAME }],
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}),
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],
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fieldIndex: 1,
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});
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expect(title).toEqual('Value 1');
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expect(title2).toEqual('Value 2');
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});
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it('should add field name count to name if field name exists more than once', () => {
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const title2 = checkScenario({
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frames: [
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toDataFrame({
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fields: [{ name: 'A' }, { name: 'A' }],
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}),
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],
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fieldIndex: 1,
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});
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expect(title2).toEqual('A 2');
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});
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it('should only use label value if only one label', () => {
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const title = checkScenario({
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frames: [
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@ -125,9 +125,46 @@ function calculateFieldDisplayName(field: Field, frame?: DataFrame, allFrames?:
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displayName = TIME_SERIES_VALUE_FIELD_NAME;
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}
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// Ensure unique field name
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if (displayName === field.name) {
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displayName = getUniqueFieldName(field, frame);
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}
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return displayName;
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}
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function getUniqueFieldName(field: Field, frame?: DataFrame) {
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let dupeCount = 0;
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let foundSelf = false;
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if (frame) {
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for (let i = 0; i < frame.fields.length; i++) {
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const otherField = frame.fields[i];
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if (field === otherField) {
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foundSelf = true;
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if (dupeCount > 0) {
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dupeCount++;
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break;
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}
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} else if (field.name === otherField.name) {
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dupeCount++;
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if (foundSelf) {
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break;
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}
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}
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}
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}
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if (dupeCount) {
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return `${field.name} ${dupeCount}`;
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}
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return field.name;
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}
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/**
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* Checks all data frames and return name of label if there is only one label name in all frames
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*/
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@ -346,4 +346,55 @@ describe('SeriesToColumns Transformer', () => {
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},
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]);
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});
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it('handles duplicate field name', () => {
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const cfg: DataTransformerConfig<SeriesToColumnsOptions> = {
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id: DataTransformerID.seriesToColumns,
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options: {
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byField: 'time',
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},
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};
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const frame1 = toDataFrame({
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fields: [
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{ name: 'time', type: FieldType.time, values: [1] },
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{ name: 'temperature', type: FieldType.number, values: [10] },
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],
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});
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const frame2 = toDataFrame({
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fields: [
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{ name: 'time', type: FieldType.time, values: [1] },
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{ name: 'temperature', type: FieldType.number, values: [20] },
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],
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});
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const filtered = transformDataFrame([cfg], [frame1, frame2])[0];
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expect(filtered.fields).toEqual([
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{
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name: 'time',
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state: { displayName: 'time' },
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type: FieldType.time,
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values: new ArrayVector([1]),
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config: {},
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},
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{
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name: 'temperature',
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state: { displayName: 'temperature 1' },
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type: FieldType.number,
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values: new ArrayVector([10]),
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config: {},
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labels: {},
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},
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{
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name: 'temperature',
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state: { displayName: 'temperature 2' },
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type: FieldType.number,
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values: new ArrayVector([20]),
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config: {},
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labels: {},
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},
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]);
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});
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});
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@ -68,7 +68,7 @@ export const seriesToColumnsTransformer: DataTransformerInfo<SeriesToColumnsOpti
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});
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for (const item of allFields) {
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resultFrame.addField(item.newField);
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item.newField = resultFrame.addField(item.newField);
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}
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const keyFieldTitle = getFieldDisplayName(resultFrame.fields[0], resultFrame);
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