Type-agnostic row merge in table transform for multiple queries
* moved unique value naming to datasource (credit: @bergquist) * merge rows based on same column-values and empty values * expanded tests
This commit is contained in:
@@ -118,7 +118,7 @@ export class PrometheusDatasource {
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}
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}
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if (activeTargets[index].format === "table") {
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if (activeTargets[index].format === "table") {
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result.push(self.transformMetricDataToTable(response.data.data.result));
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result.push(self.transformMetricDataToTable(response.data.data.result, responseList.length, index));
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} else {
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} else {
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for (let metricData of response.data.data.result) {
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for (let metricData of response.data.data.result) {
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if (response.data.data.resultType === 'matrix') {
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if (response.data.data.resultType === 'matrix') {
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@@ -301,7 +301,7 @@ export class PrometheusDatasource {
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return { target: metricLabel, datapoints: dps };
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return { target: metricLabel, datapoints: dps };
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}
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}
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transformMetricDataToTable(md) {
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transformMetricDataToTable(md, resultCount: number, resultIndex: number) {
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var table = new TableModel();
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var table = new TableModel();
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var i, j;
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var i, j;
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var metricLabels = {};
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var metricLabels = {};
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@@ -326,7 +326,8 @@ export class PrometheusDatasource {
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metricLabels[label] = labelIndex + 1;
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metricLabels[label] = labelIndex + 1;
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table.columns.push({text: label});
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table.columns.push({text: label});
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});
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});
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table.columns.push({text: 'Value'});
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let valueText = resultCount > 1 ? `Value #${String.fromCharCode(65 + resultIndex)}` : 'Value';
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table.columns.push({text: valueText});
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// Populate rows, set value to empty string when label not present.
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// Populate rows, set value to empty string when label not present.
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_.each(md, function(series) {
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_.each(md, function(series) {
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@@ -139,7 +139,7 @@ describe('when transforming time series table', () => {
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{ text: 'Time' },
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{ text: 'Time' },
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{ text: 'Label Key 1' },
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{ text: 'Label Key 1' },
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{ text: 'Label Key 2' },
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{ text: 'Label Key 2' },
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{ text: 'Value' },
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{ text: 'Value #A' },
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],
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],
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rows: [
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rows: [
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[time, 'Label Value 1', 'Label Value 2', 42],
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[time, 'Label Value 1', 'Label Value 2', 42],
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@@ -151,7 +151,7 @@ describe('when transforming time series table', () => {
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{ text: 'Time' },
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{ text: 'Time' },
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{ text: 'Label Key 1' },
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{ text: 'Label Key 1' },
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{ text: 'Label Key 2' },
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{ text: 'Label Key 2' },
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{ text: 'Value' },
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{ text: 'Value #B' },
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],
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],
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rows: [
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rows: [
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[time, 'Label Value 1', 'Label Value 2', 13],
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[time, 'Label Value 1', 'Label Value 2', 13],
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@@ -163,11 +163,23 @@ describe('when transforming time series table', () => {
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{ text: 'Time' },
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{ text: 'Time' },
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{ text: 'Label Key 1' },
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{ text: 'Label Key 1' },
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{ text: 'Label Key 2' },
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{ text: 'Label Key 2' },
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{ text: 'Value' },
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{ text: 'Value #C' },
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],
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],
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rows: [
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rows: [
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[time, 'Label Value 1', 'Label Value 2', 4],
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[time, 'Label Value 1', 'Label Value 2', 4],
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],
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],
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},
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{
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type: 'table',
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columns: [
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{ text: 'Time' },
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{ text: 'Label Key 1' },
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{ text: 'Label Key 2' },
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{ text: 'Value #C' },
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],
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rows: [
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[time, 'Label Value 1', 'Label Value 2', 7],
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],
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}
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}
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];
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];
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@@ -177,7 +189,7 @@ describe('when transforming time series table', () => {
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columns: [
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columns: [
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{ text: 'Time' },
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{ text: 'Time' },
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{ text: 'Label Key 1' },
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{ text: 'Label Key 1' },
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{ text: 'Value' },
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{ text: 'Value #A' },
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],
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],
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rows: [
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rows: [
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[time, 'Label Value 1', 42],
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[time, 'Label Value 1', 42],
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@@ -188,11 +200,22 @@ describe('when transforming time series table', () => {
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columns: [
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columns: [
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{ text: 'Time' },
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{ text: 'Time' },
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{ text: 'Label Key 2' },
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{ text: 'Label Key 2' },
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{ text: 'Value' },
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{ text: 'Value #B' },
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],
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],
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rows: [
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rows: [
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[time, 'Label Value 2', 13],
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[time, 'Label Value 2', 13],
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],
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],
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},
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{
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type: 'table',
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columns: [
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{ text: 'Time' },
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{ text: 'Label Key 1' },
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{ text: 'Value #C' },
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],
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rows: [
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[time, 'Label Value 3', 7],
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],
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}
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}
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];
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];
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@@ -217,9 +240,10 @@ describe('when transforming time series table', () => {
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var columns = transformers[transform].getColumns(multipleQueriesDataDifferentLabels);
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var columns = transformers[transform].getColumns(multipleQueriesDataDifferentLabels);
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expect(columns[0].text).toBe('Time');
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expect(columns[0].text).toBe('Time');
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expect(columns[1].text).toBe('Label Key 1');
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expect(columns[1].text).toBe('Label Key 1');
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expect(columns[2].text).toBe('Label Key 2');
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expect(columns[2].text).toBe('Value #A');
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expect(columns[3].text).toBe('Value #A');
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expect(columns[3].text).toBe('Label Key 2');
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expect(columns[4].text).toBe('Value #B');
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expect(columns[4].text).toBe('Value #B');
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expect(columns[5].text).toBe('Value #C');
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});
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});
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});
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});
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@@ -255,32 +279,41 @@ describe('when transforming time series table', () => {
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expect(table.rows[0][2]).toBe(42);
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expect(table.rows[0][2]).toBe(42);
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});
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});
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it ('should return 1 row for a mulitple queries with same label values', () => {
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it ('should return 2 rows for a mulitple queries with same label values plus one extra row', () => {
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table = transformDataToTable(multipleQueriesDataSameLabels, panel);
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table = transformDataToTable(multipleQueriesDataSameLabels, panel);
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expect(table.rows.length).toBe(1);
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expect(table.rows.length).toBe(2);
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expect(table.rows[0][0]).toBe(time);
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expect(table.rows[0][0]).toBe(time);
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expect(table.rows[0][1]).toBe('Label Value 1');
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expect(table.rows[0][1]).toBe('Label Value 1');
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expect(table.rows[0][2]).toBe('Label Value 2');
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expect(table.rows[0][2]).toBe('Label Value 2');
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expect(table.rows[0][3]).toBe(42);
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expect(table.rows[0][3]).toBe(42);
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expect(table.rows[0][4]).toBe(13);
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expect(table.rows[0][4]).toBe(13);
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expect(table.rows[0][5]).toBe(4);
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expect(table.rows[0][5]).toBe(4);
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expect(table.rows[1][0]).toBe(time);
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expect(table.rows[1][1]).toBe('Label Value 1');
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expect(table.rows[1][2]).toBe('Label Value 2');
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expect(table.rows[1][3]).toBeUndefined();
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expect(table.rows[1][4]).toBeUndefined();
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expect(table.rows[1][5]).toBe(7);
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});
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});
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it ('should return 2 rows for a mulitple queries with different label values', () => {
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it ('should return 2 rows for mulitple queries with different label values', () => {
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table = transformDataToTable(multipleQueriesDataDifferentLabels, panel);
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table = transformDataToTable(multipleQueriesDataDifferentLabels, panel);
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expect(table.rows.length).toBe(2);
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expect(table.rows.length).toBe(2);
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expect(table.columns.length).toBe(6);
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expect(table.rows[0][0]).toBe(time);
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expect(table.rows[0][0]).toBe(time);
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expect(table.rows[0][1]).toBe('Label Value 1');
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expect(table.rows[0][1]).toBe('Label Value 1');
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expect(table.rows[0][2]).toBeUndefined();
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expect(table.rows[0][2]).toBe(42);
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expect(table.rows[0][3]).toBe(42);
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expect(table.rows[0][3]).toBe('Label Value 2');
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expect(table.rows[0][4]).toBeUndefined();
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expect(table.rows[0][4]).toBe(13);
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expect(table.rows[0][5]).toBeUndefined();
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expect(table.rows[1][0]).toBe(time);
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expect(table.rows[1][0]).toBe(time);
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expect(table.rows[1][1]).toBeUndefined();
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expect(table.rows[1][1]).toBe('Label Value 3');
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expect(table.rows[1][2]).toBe('Label Value 2');
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expect(table.rows[1][2]).toBeUndefined();
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expect(table.rows[1][3]).toBeUndefined();
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expect(table.rows[1][3]).toBeUndefined();
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expect(table.rows[1][4]).toBe(13);
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expect(table.rows[1][4]).toBeUndefined();
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expect(table.rows[1][5]).toBe(7);
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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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@@ -144,28 +144,18 @@ transformers['table'] = {
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// Track column indexes: name -> index
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// Track column indexes: name -> index
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const columnNames = {};
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const columnNames = {};
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// Union of all non-value columns
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// Union of all columns
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const columns = data.reduce((acc, d, i) => {
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const columns = data.reduce((acc, d, i) => {
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d.columns.forEach((col, j) => {
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d.columns.forEach((col, j) => {
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const { text } = col;
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const { text } = col;
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if (text !== 'Value') {
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if (columnNames[text] === undefined) {
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if (columnNames[text] === undefined) {
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columnNames[text] = acc.length;
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columnNames[text] = acc.length;
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acc.push(col);
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acc.push(col);
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}
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}
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}
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});
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});
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return acc;
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return acc;
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}, []);
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}, []);
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// Append one value column per data set
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data.forEach((_, i) => {
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// Value #A, Value #B,...
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const text = `Value #${String.fromCharCode(65 + i)}`;
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columnNames[text] = columns.length;
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columns.push({ text });
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});
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return columns;
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return columns;
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},
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},
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transform: function(data, panel, model) {
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transform: function(data, panel, model) {
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@@ -194,27 +184,15 @@ transformers['table'] = {
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const indexes = [];
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const indexes = [];
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d.columns.forEach((col, j) => {
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d.columns.forEach((col, j) => {
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const { text } = col;
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const { text } = col;
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if (text !== 'Value') {
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if (columnNames[text] === undefined) {
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if (columnNames[text] === undefined) {
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columnNames[text] = acc.length;
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columnNames[text] = acc.length;
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acc.push(col);
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acc.push(col);
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}
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indexes[j] = columnNames[text];
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}
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}
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indexes[j] = columnNames[text];
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});
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});
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columnIndexes.push(indexes);
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columnIndexes.push(indexes);
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return acc;
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return acc;
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}, []);
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}, []);
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const nonValueColumnCount = columns.length;
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// Append one value column per data set
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data.forEach((_, i) => {
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// Value #A, Value #B,...
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const text = `Value #${String.fromCharCode(65 + i)}`;
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columnNames[text] = columns.length;
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columns.push({ text });
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columnIndexes[i].push(columnNames[text]);
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});
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model.columns = columns;
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model.columns = columns;
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@@ -231,29 +209,36 @@ transformers['table'] = {
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return acc;
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return acc;
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}, []);
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}, []);
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// Merge rows that have same columns
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// Merge rows that have same values for columns
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const mergedRows = {};
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const mergedRows = {};
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rows = rows.reduce((acc, row, i) => {
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rows = rows.reduce((acc, row, rowIndex) => {
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if (!mergedRows[i]) {
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if (!mergedRows[rowIndex]) {
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let offset = i + 1;
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let offset = rowIndex + 1;
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while (offset < rows.length) {
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while (offset < rows.length) {
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const match = _.findIndex(rows, (other, j) => {
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// Find next row that has the same field values unless the respective field is undefined
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let same = true;
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const match = _.findIndex(rows, (otherRow) => {
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for (let index = 0; index < nonValueColumnCount; index++) {
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let fieldsAreTheSame = true;
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if (row[index] !== other[index]) {
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let foundFieldToMatch = false;
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same = false;
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for (let columnIndex = 0; columnIndex < columns.length; columnIndex++) {
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if (row[columnIndex] !== undefined && otherRow[columnIndex] !== undefined) {
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if (row[columnIndex] !== otherRow[columnIndex]) {
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fieldsAreTheSame = false;
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}
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} else if (row[columnIndex] === undefined || otherRow[columnIndex] === undefined) {
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foundFieldToMatch = true;
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}
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if (!fieldsAreTheSame) {
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break;
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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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return same;
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return fieldsAreTheSame && foundFieldToMatch;
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}, offset);
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}, offset);
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if (match > -1) {
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if (match > -1) {
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const matchedRow = rows[match];
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const matchedRow = rows[match];
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// Merge values into current row
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// Merge values into current row
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for (let index = nonValueColumnCount; index < columns.length; index++) {
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for (let columnIndex = 0; columnIndex < columns.length; columnIndex++) {
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if (row[index] === undefined && matchedRow[index] !== undefined) {
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if (row[columnIndex] === undefined && matchedRow[columnIndex] !== undefined) {
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row[index] = matchedRow[index];
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row[columnIndex] = matchedRow[columnIndex];
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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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mergedRows[match] = matchedRow;
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mergedRows[match] = matchedRow;
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