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fix: big number with trendline can't calculate cumsum (#19542)
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@ -18,63 +18,33 @@
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*/
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import {
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buildQueryContext,
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PostProcessingResample,
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DTTM_ALIAS,
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QueryFormData,
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} from '@superset-ui/core';
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import {
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flattenOperator,
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pivotOperator,
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resampleOperator,
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rollingWindowOperator,
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sortOperator,
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} from '@superset-ui/chart-controls';
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const TIME_GRAIN_MAP: Record<string, string> = {
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PT1S: 'S',
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PT1M: 'min',
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PT5M: '5min',
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PT10M: '10min',
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PT15M: '15min',
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PT30M: '30min',
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PT1H: 'H',
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P1D: 'D',
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P1M: 'MS',
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P3M: 'QS',
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P1Y: 'AS',
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// TODO: these need to be mapped carefully, as the first day of week
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// can vary from engine to engine
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// P1W: 'W',
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// '1969-12-28T00:00:00Z/P1W': 'W',
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// '1969-12-29T00:00:00Z/P1W': 'W',
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// 'P1W/1970-01-03T00:00:00Z': 'W',
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// 'P1W/1970-01-04T00:00:00Z': 'W',
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};
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export default function buildQuery(formData: QueryFormData) {
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return buildQueryContext(formData, baseQueryObject => {
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// todo: move into full advanced analysis section here
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const rollingProc = rollingWindowOperator(formData, baseQueryObject);
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const { time_grain_sqla } = formData;
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let resampleProc: PostProcessingResample;
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if (rollingProc && time_grain_sqla) {
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const rule = TIME_GRAIN_MAP[time_grain_sqla];
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if (rule) {
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resampleProc = {
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operation: 'resample',
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options: {
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method: 'asfreq',
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rule,
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fill_value: null,
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},
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};
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}
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}
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const { x_axis } = formData;
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const is_timeseries = x_axis === DTTM_ALIAS || !x_axis;
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return [
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{
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...baseQueryObject,
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is_timeseries: true,
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post_processing: [
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sortOperator(formData, baseQueryObject),
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resampleProc,
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rollingProc,
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pivotOperator(formData, {
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...baseQueryObject,
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index: x_axis,
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is_timeseries,
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}),
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rollingWindowOperator(formData, baseQueryObject),
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resampleOperator(formData, baseQueryObject),
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flattenOperator(formData, baseQueryObject),
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],
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},
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@ -217,6 +217,52 @@ const config: ControlPanelConfig = {
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},
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},
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],
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// eslint-disable-next-line react/jsx-key
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[<h1 className="section-header">{t('Resample')}</h1>],
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[
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{
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name: 'resample_rule',
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config: {
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type: 'SelectControl',
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freeForm: true,
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label: t('Rule'),
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default: null,
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choices: [
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['1T', '1 minutely frequency'],
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['1H', '1 hourly frequency'],
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['1D', '1 calendar day frequency'],
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['7D', '7 calendar day frequency'],
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['1MS', '1 month start frequency'],
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['1M', '1 month end frequency'],
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['1AS', '1 year start frequency'],
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['1A', '1 year end frequency'],
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],
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description: t('Pandas resample rule'),
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},
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},
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],
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[
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{
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name: 'resample_method',
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config: {
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type: 'SelectControl',
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freeForm: true,
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label: t('Fill method'),
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default: null,
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choices: [
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['asfreq', 'Null imputation'],
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['zerofill', 'Zero imputation'],
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['linear', 'Linear interpolation'],
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['ffill', 'Forward values'],
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['bfill', 'Backward values'],
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['median', 'Median values'],
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['mean', 'Mean values'],
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['sum', 'Sum values'],
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],
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description: t('Pandas resample method'),
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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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