Files
superset2/superset-frontend/packages/superset-ui-chart-controls/src/operators/timeComparePivotOperator.ts

71 lines
2.3 KiB
TypeScript

/* eslint-disable camelcase */
/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitationsxw
* under the License.
*/
import {
ComparisionType,
PostProcessingPivot,
NumpyFunction,
ensureIsArray,
getColumnLabel,
} from '@superset-ui/core';
import {
getMetricOffsetsMap,
isValidTimeCompare,
TIME_COMPARISON_SEPARATOR,
} from './utils';
import { PostProcessingFactory } from './types';
export const timeComparePivotOperator: PostProcessingFactory<
PostProcessingPivot | undefined
> = (formData, queryObject) => {
const comparisonType = formData.comparison_type;
const metricOffsetMap = getMetricOffsetsMap(formData, queryObject);
if (isValidTimeCompare(formData, queryObject)) {
const valuesAgg = Object.fromEntries(
[...metricOffsetMap.values(), ...metricOffsetMap.keys()].map(metric => [
metric,
// use the 'mean' aggregates to avoid drop NaN
{ operator: 'mean' as NumpyFunction },
]),
);
const changeAgg = Object.fromEntries(
[...metricOffsetMap.entries()]
.map(([offset, metric]) =>
[comparisonType, metric, offset].join(TIME_COMPARISON_SEPARATOR),
)
// use the 'mean' aggregates to avoid drop NaN
.map(metric => [metric, { operator: 'mean' as NumpyFunction }]),
);
return {
operation: 'pivot',
options: {
index: ['__timestamp'],
columns: ensureIsArray(queryObject.columns).map(getColumnLabel),
aggregates:
comparisonType === ComparisionType.Values ? valuesAgg : changeAgg,
drop_missing_columns: false,
},
};
}
return undefined;
};