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fix(plugin-chart-echarts): support adhoc x-axis #20055

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May 13, 2022
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Original file line number Diff line number Diff line change
Expand Up @@ -31,11 +31,13 @@ export const pivotOperator: PostProcessingFactory<PostProcessingPivot> = (
) => {
const metricLabels = ensureIsArray(queryObject.metrics).map(getMetricLabel);
const { x_axis: xAxis } = formData;

if ((xAxis || queryObject.is_timeseries) && metricLabels.length) {
const index = [getColumnLabel(formData.x_axis || DTTM_ALIAS)];
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return {
operation: 'pivot',
options: {
index: [xAxis || DTTM_ALIAS],
index,
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I'm not sure which is better/more readable, inlining it or declaring it as a variable first. I went with declaring a const first, but looking at it now I should maybe have inlined it..

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I think this looks good 👍

columns: ensureIsArray(queryObject.columns).map(getColumnLabel),
// Create 'dummy' mean aggregates to assign cell values in pivot table
// use the 'mean' aggregates to avoid drop NaN. PR: https://github.com/apache-superset/superset-ui/pull/1231
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Original file line number Diff line number Diff line change
Expand Up @@ -16,13 +16,18 @@
* specific language governing permissions and limitationsxw
* under the License.
*/
import { DTTM_ALIAS, PostProcessingProphet } from '@superset-ui/core';
import {
DTTM_ALIAS,
getColumnLabel,
PostProcessingProphet,
} from '@superset-ui/core';
import { PostProcessingFactory } from './types';

export const prophetOperator: PostProcessingFactory<PostProcessingProphet> = (
formData,
queryObject,
) => {
const index = getColumnLabel(formData.x_axis || DTTM_ALIAS);
if (formData.forecastEnabled) {
return {
operation: 'prophet',
Expand All @@ -33,7 +38,7 @@ export const prophetOperator: PostProcessingFactory<PostProcessingProphet> = (
yearly_seasonality: formData.forecastSeasonalityYearly,
weekly_seasonality: formData.forecastSeasonalityWeekly,
daily_seasonality: formData.forecastSeasonalityDaily,
index: formData.x_axis || DTTM_ALIAS,
index,
},
};
}
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Original file line number Diff line number Diff line change
Expand Up @@ -39,11 +39,12 @@ export const timeComparePivotOperator: PostProcessingFactory<PostProcessingPivot
{ operator: 'mean' as NumpyFunction },
]),
);
const index = [getColumnLabel(formData.x_axis || DTTM_ALIAS)];

return {
operation: 'pivot',
options: {
index: [formData.x_axis || DTTM_ALIAS],
index,
columns: ensureIsArray(queryObject.columns).map(getColumnLabel),
drop_missing_columns: false,
flatten_columns: false,
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -136,3 +136,35 @@ test('pivot by x_axis with groupby', () => {
},
});
});

test('pivot by adhoc x_axis', () => {
expect(
pivotOperator(
{
...formData,
x_axis: {
label: 'my_case_expr',
expressionType: 'SQL',
expression: 'case when a = 1 then 1 else 0 end',
},
},
{
...queryObject,
columns: ['foo', 'bar'],
},
),
).toEqual({
operation: 'pivot',
options: {
index: ['my_case_expr'],
columns: ['foo', 'bar'],
aggregates: {
'count(*)': { operator: 'mean' },
'sum(val)': { operator: 'mean' },
},
drop_missing_columns: false,
flatten_columns: false,
reset_index: false,
},
});
});
Original file line number Diff line number Diff line change
Expand Up @@ -98,3 +98,36 @@ test('should do prophetOperator over named column', () => {
},
});
});

test('should do prophetOperator over adhoc column', () => {
expect(
prophetOperator(
{
...formData,
x_axis: {
label: 'my_case_expr',
expressionType: 'SQL',
expression: 'case when a = 1 then 1 else 0 end',
},
forecastEnabled: true,
forecastPeriods: '3',
forecastInterval: '5',
forecastSeasonalityYearly: true,
forecastSeasonalityWeekly: false,
forecastSeasonalityDaily: false,
},
queryObject,
),
).toEqual({
operation: 'prophet',
options: {
time_grain: 'P1Y',
periods: 3.0,
confidence_interval: 5.0,
yearly_seasonality: true,
weekly_seasonality: false,
daily_seasonality: false,
index: 'my_case_expr',
},
});
});
Original file line number Diff line number Diff line change
Expand Up @@ -135,3 +135,44 @@ test('should pivot on x-axis', () => {
},
});
});

test('should pivot on adhoc x-axis', () => {
expect(
timeComparePivotOperator(
{
...formData,
comparison_type: 'values',
time_compare: ['1 year ago', '1 year later'],
x_axis: {
label: 'my_case_expr',
expressionType: 'SQL',
expression: 'case when a = 1 then 1 else 0 end',
},
},
queryObject,
),
).toEqual({
operation: 'pivot',
options: {
aggregates: {
'count(*)': { operator: 'mean' },
'count(*)__1 year ago': { operator: 'mean' },
'count(*)__1 year later': { operator: 'mean' },
'sum(val)': {
operator: 'mean',
},
'sum(val)__1 year ago': {
operator: 'mean',
},
'sum(val)__1 year later': {
operator: 'mean',
},
},
drop_missing_columns: false,
columns: ['foo', 'bar'],
index: ['my_case_expr'],
flatten_columns: false,
reset_index: false,
},
});
});
Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,7 @@ import {
DataRecordValue,
DTTM_ALIAS,
GenericDataType,
getColumnLabel,
getNumberFormatter,
isEventAnnotationLayer,
isFormulaAnnotationLayer,
Expand Down Expand Up @@ -141,7 +142,8 @@ export default function transformProps(

const colorScale = CategoricalColorNamespace.getScale(colorScheme as string);
const rebasedData = rebaseForecastDatum(data, verboseMap);
const xAxisCol = verboseMap[xAxisOrig] || xAxisOrig || DTTM_ALIAS;
const xAxisCol =
verboseMap[xAxisOrig] || getColumnLabel(xAxisOrig || DTTM_ALIAS);
const rawSeries = extractSeries(rebasedData, {
fillNeighborValue: stack && !forecastEnabled ? 0 : undefined,
xAxis: xAxisCol,
Expand Down