airbnb/caravel

/**
 * 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 {
  ensureIsArray,
  getColumnLabel,
  getMetricLabel,
  PostProcessingBoxplot,
  BoxPlotQueryObjectWhiskerType,
} from '@superset-ui/core';
import { PostProcessingFactory } from './types';

const PERCENTILE_REGEX = /(\d+)\/(\d+) percentiles/;

export const boxplotOperator: PostProcessingFactory<PostProcessingBoxplot> = (
  formData,
  queryObject,
) => {
  const { groupby, whiskerOptions } = formData;

  if (whiskerOptions) {
    let whiskerType: BoxPlotQueryObjectWhiskerType;
    let percentiles: [number, number] | undefined;
    const percentileMatch = PERCENTILE_REGEX.exec(whiskerOptions as string);

    if (whiskerOptions === 'Tukey' || !whiskerOptions) {
      whiskerType = 'tukey';
    } else if (whiskerOptions === 'Min/max (no outliers)') {
      whiskerType = 'min/max';
    } else if (percentileMatch) {
      whiskerType = 'percentile';
      percentiles = [
        parseInt(percentileMatch[1], 10),
        parseInt(percentileMatch[2], 10),
      ];
    } else {
      throw new Error(`Unsupported whisker type: ${whiskerOptions}`);
    }

    return {
      operation: 'boxplot',
      options: {
        whisker_type: whiskerType,
        percentiles,
        groupby: ensureIsArray(groupby).map(getColumnLabel),
        metrics: ensureIsArray(queryObject.metrics).map(getMetricLabel),
      },
    };
  }
  return undefined;
};