dashboard/src/libs/ht.js

import { fixTo4Decimals, fixTo1Decimals, fixToInt, groupBy, sortBy, cloneDeep, pick, unique, flush, fixTo2Decimals, isEmpty } from '../utils/commons';

/**
 * 事业部
 */
export const biz = [
  { key: '0', label: '公共开支', code: '' },
  { key: '1', label: 'GH事业部', code: '' },
  { key: '2', label: '国际事业部', code: '' },
  { key: '4', label: '孵化学院', code: '' },
];
/**
 * HT 事业部
 */
export const bu = [
  { key: '91001', value: '91001', label: 'CH事业部' },
  { key: '91002', value: '91002', label: '商旅事业部' },
  { key: '91003', value: '91003', label: '国际事业部' },
  { key: '91004', value: '91004', label: 'CT事业部' },
  { key: '91005', value: '91005', label: '德语事业部' },
  { key: '91006', value: '91006', label: 'AH亚洲项目组' },
  { key: '91009', value: '91009', label: 'Trippest项目组' },
  { key: '91010', value: '91010', label: '花梨鹰' },
  { key: '91012', value: '91012', label: '西语组' },
];
/**
 * HT 销售小组
 */
export const deptUnits = [
  { key: '43001', value: '43001', label: '英文A组(骆梅玉)' },
  { key: '43002', value: '43002', label: '英文B组(王健)' },
  { key: '43003', value: '43003', label: '目的地组(杨新玲)' },
  { key: '43005', value: '43005', label: '其他' },
];
/**
 * 小组
 */
export const groups = [
  { value: '1,2,28,7,33', key: '1,2,28,7,33', label: 'GH事业部', code: 'GH', children: [1, 2, 28, 7, 33] },
  { value: '8,9,11,12,20,21', key: '8,9,11,12,20,21', label: '国际事业部', code: 'INT', children: [8, 9, 11, 12, 20, 21] },
  { value: '10,18,16,30', key: '10,18,16,30', label: '孵化学院', code: '', children: [10, 18, 16, 30] },
  { value: '1', key: '1', label: 'CH直销', code: '', children: [] },
  { value: '2', key: '2', label: 'CH大客户', code: '', children: [] },
  { value: '28', key: '28', label: 'AH亚洲项目组', code: 'AH', children: [] },
  { value: '33', key: '33', label: 'GH项目组', code: '', children: [] },
  { value: '7', key: '7', label: '市场推广', code: '', children: [] },
  { value: '8', key: '8', label: '德语', code: '', children: [] },
  { value: '9', key: '9', label: '日语', code: '', children: [] },
  { value: '11', key: '11', label: '法语', code: '', children: [] },
  { value: '12', key: '12', label: '西语', code: '', children: [] },
  { value: '20', key: '20', label: '俄语', code: '', children: [] },
  { value: '21', key: '21', label: '意语', code: '', children: [] },
  { value: '10', key: '10', label: '商旅', code: '', children: [] },
  { value: '18', key: '18', label: 'CT', code: 'CT', children: [] },
  { value: '16', key: '16', label: 'APP', code: 'APP', children: [] },
  { value: '30', key: '30', label: 'Trippest', code: 'TP', children: [] },
  { value: '31', key: '31', label: '花梨鹰', code: '', children: [] },
];
export const groupsMappedByCode = groups.reduce((a, c) => ({ ...a, [String(c.code || c.key)]: c }), {});
export const groupsMappedByKey = groups.reduce((a, c) => ({ ...a, [String(c.key)]: c }), {});
export const leafGroup = groups.slice(3);
export const overviewGroup = groups.slice(0, 3); // todo: 花梨鹰 APP Trippest
/**
 * 来源
 */
export const sites = [
  { value: '2', key: '2', label: 'CHT', code: 'CHT' },
  { value: '8', key: '8', label: 'AH', code: 'AH' },
  { value: '163', key: '163', label: 'GH', code: 'GH' },
  { value: '28', key: '28', label: '客运中国', code: 'GHKYZG' },
  { value: '7', key: '7', label: '客运海外', code: 'GHKYHW' },
  { value: '172', key: '172', label: 'GHToB 海外', code: 'GHTOBHW' },
  { value: '176', key: '176', label: 'GHToB 中国', code: 'GHTOBZG' },
  { value: '11,12,20,21,10,18', key: '11,12,20,21,10,18', label: '国际（入境）', code: 'JP,VAC,IT,GM,RU,VC' },
  { value: '122,200,211,100,188', key: '122,200,211,100,188', label: '国际（海外）', code: 'VACHW,ITHW,GMHW,RUHW,VCHW' },
  { value: '178,179,180,181,182,183', key: '178,179,180,181,182,183', label: '国际（GH）', code: 'gh_gm,gh_jp,gh_vc,gh_vac,gh_ru,gh_it'},
  { value: '184', key: '184', label: '站外渠道', code: 'ZWQD' },
  { value: '11', key: '11', label: '日语', code: 'JP' },
  { value: '179', key: '179', label: 'GH-日语', code: 'gh_jp'}, // www.globalhighlights.jp
  { value: '12', key: '12', label: '西语', code: 'VAC' },
  { value: '122', key: '122', label: '西语海外', code: 'VACHW' },
  { value: '181', key: '181', label: 'GH-西语', code: 'gh_vac'}, // www.globalhighlights.es
  { value: '20', key: '20', label: '意大利', code: 'IT' },
  { value: '200', key: '200', label: '意大利海外', code: 'ITHW' },
  { value: '183', key: '183', label: 'GH-意语', code: 'gh_it'}, // www.globalhighlights.it
  { value: '21', key: '21', label: '德语', code: 'GM' },
  { value: '211', key: '211', label: '德语海外', code: 'GMHW' },
  { value: '178', key: '178', label: 'GH-德语', code: 'gh_gm'}, // wwww.globalhighlights.de
  { value: '10', key: '10', label: '俄语', code: 'RU' },
  { value: '100', key: '100', label: '俄语海外', code: 'RUHW' },
  { value: '182', key: '182', label: 'GH-俄语', code: 'gh_ru'}, // www.globalhighlights.ru
  { value: '18', key: '18', label: '法语', code: 'VC' },
  { value: '188', key: '188', label: '法语海外', code: 'VCHW' },
  { value: '180', key: '180', label: 'GH-法语', code: 'gh_vc'}, // www.globalhighlights.fr
  { value: '16', key: '16', label: 'CT', code: 'CT' },
  { value: '30', key: '30', label: 'TP', code: 'trippest' },
  { value: '31', key: '31', label: '花梨鹰', code: 'HLY' },
];
export const sitesMappedByCode = sites.reduce((a, c) => ({ ...a, [String(c.code)]: { ...c, key: c.code, value: c.code } }), {});
export const dateTypes = [
  { key: 'applyDate', value: 'applyDate', label: '提交日期' },
  { key: 'confirmDate', value: 'confirmDate', label: '确认日期' },
  { key: 'startDate', value: 'startDate', label: '走团日期' },
];

/**
 * 结果字段
 */
export const dataFieldOptions = [
  { label: '营收', value: 'transactions', formatter: (v) => `${fixTo1Decimals((v || 0) / 10000)} 万`, nestkey: { p: 'transactionsKPIrates', v: 'transactionsKPIvalue' } },
  { label: '毛利', value: 'SumML', formatter: (v) => `${fixTo1Decimals((v || 0) / 10000)} 万`, nestkey: { p: 'MLKPIrates', v: 'MLKPIvalue' } },
  { label: '订单数', value: 'SumOrder', formatter: (v) => v, nestkey: { p: 'OrderKPIrates', v: 'OrderKPIvalue' } },
  { label: '成交数', value: 'ConfirmOrder', formatter: (v) => v, nestkey: { p: 'ConfirmOrderKPIrates', v: 'ConfirmOrderKPIvalue' } },
  { label: '成交率', value: 'ConfirmRates', formatter: (v) => `${v} %`, nestkey: { p: 'ConfirmRatesKPIrates', v: 'ConfirmRatesKPIvalue' } },
  { label: '人数', value: 'SumPersonNum', formatter: (v) => v, nestkey: {} },
  // todo: more...
];
/**
 * 结果字段alias
 */
export const dataFieldAlias = dataFieldOptions.reduce(
  (a, c) => ({
    ...a,
    [c.value]: { ...c, alias: c.label, formatter: (v) => c.formatter(v) },
    [c.nestkey.v]: { ...c, value: c.nestkey.v, alias: `${c.label}目标`, label: `${c.label}目标`, formatter: (v) => c.formatter(v), nestkey: { o: c.value } },
  }),
  {}
);

/**
 * KPI对象
 */
export const KPIObjects = [
  { key: 'overview', value: 'overview', label: '海纳', data: [{ key: 'ALL', value: 'ALL', label: '海纳' }, ...overviewGroup] },
  {
    key: 'bizarea',
    value: 'bizarea',
    label: '国内外业务',
    data: [
      { key: 'inside', value: 'inside', label: '国内' },
      { key: 'outside', value: 'outside', label: '海外' },
    ],
  },
  { key: 'bu', value: 'bu', label: 'HT事业部', data: bu },
  { key: 'dept', value: 'dept', label: '小组', data: leafGroup },
  { key: 'du', value: 'du', label: '销售小组', data: deptUnits },
  { key: 'operator', value: 'operator', label: '顾问' },
  { key: 'destination', value: 'destination', label: '目的地 城市' },
  // { key: 'destination', value: 'destination', label: '目的地 国籍' },
  { key: 'country', value: 'country', label: '客源 国籍' },
  {
    key: 'guestgrouptype',
    value: 'guestgrouptype',
    label: '客群类别',
    data: [
      { key: '146001', value: '146001', label: '夫妻' },
      { key: '146002', value: '146002', label: '家庭' },
      { key: '146003', value: '146003', label: 'Solo' },
      { key: '146004', value: '146004', label: '组织' },
      { key: '146005', value: '146005', label: '其他' },
    ],
  },
];
export const KPISubjects = [
  { key: 'sum_profit', value: 'sum_profit', label: '毛利' },
  { key: 'in_order_count', value: 'in_order_count', label: '订单数' },
  { key: 'confirm_order_count', value: 'confirm_order_count', label: '成团数' },
  // { key: 'depart_order_count', value: 'depart_order_count', label: '走团' },  // 根据日期类型
  { key: 'confirm_rates', value: 'confirm_rates', label: '成行率' },
  // { key: 'praise_rates', value: 'praise_rates', label: '表扬率' },
  // { key: 'first_reply_rates', value: 'first_reply_rates', label: '首报回复率'},
  // { key: 'quote_rates', value: 'quote_rates', label: '报价率'},
  // { key: 'first_post_time', value: 'first_post_time', label: '订单到首邮发送时间'},
  // { key: 'reply_rates_wechat', value: 'reply_rates_wechat', label: '微信回复率'},
  // { key: 'reply_rates_wa', value: 'reply_rates_wa', label: 'WA回复率'},
  // { key: 'reply_eff_wechat', value: 'reply_eff_wechat', label: '微信回复效率'},
  // { key: 'reply_eff_wa', value: 'reply_eff_wa', label: 'WA回复效率'},
  // { key: 'sum_person_num', value: 'sum_person_num', label: '人数' },
];

/**
 * 计算指标值的分段区间
 * @param {number} value
 * @returns
 */
const calcPPPriceRange = (value) => {
  if (value < 0) {
      return '--';
  }

  const step = 30; // step = 30 USD
  const start = Math.floor(value / step) * step;
  const end = start + step;

  if (value >= 301) {
      return `301-Infinity`;
  }

  return `${start === 0 ? start : (start+1)}-${end}`;
};
/**
 * 数据透视计算
 * @param {object[]} data
 * @param {any[]} groupbyKeys
 * @returns
 */
export const pivotBy = (_data, [rows, columns, date]) => {
  console.time('pivot3----');
  console.log('pivotBy', [rows, columns, date]);
  const groupbyKeys = flush([].concat(rows, columns, [date]));
  // if (groupbyKeys.includes('PPPriceRange')) {
  // }
  // 补充计算的字段
  let data = cloneDeep(_data).map(ele => {
    ele.PPPrice = (Number(ele.orderState) === 1 && ele.tourdays && ele.personNum)  ? fixToInt(ele.quotePrice / ele.tourdays / ele.personNum) : -1;
    ele.PPPriceRange = calcPPPriceRange(ele.PPPrice);
    ele.IsOld_txt = ele.IsOld === '1' ? '老客户' : '否';
    ele.isCusCommend_txt = ele.isCusCommend === '1' ? '老客户推荐' : '否';
    const hasOld = (ele.IsOld === '1' || ele.isCusCommend === '1') ? 1 : 0;
    ele.hasOld = hasOld;
    ele.hasOld_txt = hasOld === 1 ? '老客户(推荐)' : '';
    ele.SumML_ctxt1 = ele.ML > 10000 ? '1W+' : '1W-';
    ele.SumML_ctxt1_5 = ele.ML > 15000 ? '1.5W+' : '1.5W-';
    ele.SumML_ctxt2 = ele.ML > 20000 ? '2W+' : '2W-';
    ele.SumML_ctxt3 = ele.ML > 30000 ? '3W+' : '3W-';
    ele.SumML_ctxt4 = ele.ML > 40000 ? '4W+' : '4W-';
    return ele;
  });
  // 数组的字段值, 拆分处理
  if (groupbyKeys.includes('destinationCountry_AsJOSN')) {
    data = _data.reduce((r, v, i) => {
      const vjson = isEmpty(v.destinationCountry_AsJOSN) ? [] : v.destinationCountry_AsJOSN;
      const xv = (vjson).reduce((rv, cv, vi) => {
        rv.push({...v, destinationCountry_AsJOSN: cv, key: vi === 0 ? v.key : `${v.key}@${cv}`});
        return rv;
      }, []);

      r = r.concat(xv);
      return r;
    }, []);
  }

  const getKeys = (keys) => keys.map((keyField) => [...new Set(data.map((f) => f[keyField]))]);
  const [rowsKeys, columnsKeys, dateKeys] = [getKeys(rows), getKeys(columns), [getKeys([date])[0].filter(s => s)]];
  // console.log('rowsKeys', rowsKeys, 'columnsKeys', columnsKeys, 'dateKeys', dateKeys);

  const calcTradeFields = (dataObj, keepKeys = [], seriesKey = '') => {
    const outerKeys = [];
    const _keepKeys = [...keepKeys, seriesKey];
    const DataGroupByKeys = {};

    Object.keys(dataObj).forEach((colKey) => {
      const _len = dataObj[colKey].length;
      const _rowKey = dataObj[colKey].map((v) => v.key).join('_');
      outerKeys.push(_rowKey);

      const initialData = {
        ...pick(dataObj[colKey][0], _keepKeys),
        ...(keepKeys.length === 0
          ? { rowLabel: '总' }
          : {
              rowLabel: cloneDeep(keepKeys)
                // .slice(0, -1)
                .map((_k) => dataObj[colKey][0][_k])
                .join('»'),
            }),
        _label: colKey || '(空)',
        key: _rowKey,

        _a:dataObj[colKey].map((v) => `${v.PPPrice}: ${v.PPPriceRange}`).join(', '),
        _b:dataObj[colKey].map((v) => `${v.orderState}: ${v.quotePrice}/ ${v.tourdays}/ ${v.personNum}`).join(', '),

        SumOrder: _len,

        SumPersonNum: 0,
        ConfirmPersonNum: 0,
        ConfirmOrder: 0,
        transactions: 0,
        SumML: 0,
        SumML_txt: '',
        quotePrice: 0,
        tourdays: 0,
        applyDays: 0,
        confirmDays: 0,
        SingleML: 0,
        OrderValue: 0,
        PPPrice: 0,
        AvgPPPrice: 0,
        confirmTourdays: 0,
        PPPriceRange: '',
        unitPPPriceRange: '',
      };

      const calculatedData = dataObj[colKey].reduce((r, v) => {
        r.SumPersonNum += v.personNum;
        r.ConfirmPersonNum += Number(v.orderState) === 1 ? v.personNum : 0;
        r.ConfirmOrder += Number(v.orderState) === 1 ? 1 : 0;
        r.transactions += v.transactions;
        r.SumML += Number(v.orderState) === 1 ? v.ML : 0;
        r.quotePrice += Number(v.orderState) === 1 ? v.quotePrice : 0;
        r.tourdays += v.tourdays;
        r.applyDays += v.applyDays;
        r.confirmDays += v.confirmDays;
        r.PPPrice += Number(v.orderState) === 1 ? v.PPPrice : 0;
        r.confirmTourdays += Number(v.orderState) === 1 ? v.tourdays : 0;
        return r;
      }, initialData);

      // Calculations
      calculatedData.tourdays = Math.ceil(calculatedData.tourdays / _len);
      calculatedData.confirmTourdays = calculatedData.ConfirmOrder > 0 ? Math.ceil(calculatedData.confirmTourdays / calculatedData.ConfirmOrder) : '0';
      calculatedData.applyDays = Math.ceil(calculatedData.applyDays / _len);
      calculatedData.confirmDays = Math.ceil(calculatedData.confirmDays / _len);
      const _rowCalc = {
        ConfirmRates: calculatedData.ConfirmOrder ? fixTo4Decimals(calculatedData.ConfirmOrder / calculatedData.SumOrder*100) : 0,
        OrderValue: calculatedData.SumOrder ? fixToInt(calculatedData.SumML / calculatedData.SumOrder) : 0,
        SingleML: calculatedData.ConfirmOrder ? fixToInt(calculatedData.SumML / calculatedData.ConfirmOrder) : 0,

        AvgPPPrice: calculatedData.ConfirmOrder ? fixToInt(calculatedData.PPPrice / calculatedData.ConfirmOrder) : -1,
        unitPPPrice:
          calculatedData.confirmTourdays && calculatedData.ConfirmPersonNum ? fixToInt(calculatedData.quotePrice / calculatedData.confirmTourdays / calculatedData.ConfirmPersonNum) : -1,
      };
      // Formatter
      calculatedData.transactions = fixTo2Decimals(calculatedData.transactions);
      calculatedData.SumML = fixTo2Decimals(calculatedData.SumML);
      calculatedData.SumML_txt = dataFieldAlias.SumML.formatter(calculatedData.SumML);
      calculatedData.quotePrice = fixTo2Decimals(calculatedData.quotePrice);
      calculatedData.ConfirmRates_txt = dataFieldAlias.ConfirmRates.formatter(_rowCalc.ConfirmRates);
      // calculatedData.SingleML = fixTo2Decimals(calculatedData.SingleML);
      calculatedData.PPPrice = fixTo2Decimals(calculatedData.PPPrice);
      calculatedData.PPPriceRange = calcPPPriceRange(_rowCalc.AvgPPPrice);
      calculatedData.unitPPPriceRange = calcPPPriceRange(_rowCalc.unitPPPrice);

      DataGroupByKeys[colKey] = { ...calculatedData, ..._rowCalc };
    });

    return { groupByKeys: DataGroupByKeys, key: outerKeys.join('_') };
  };

  const groupData = groupBy(data, (row) => groupbyKeys.map((kk) => `${row[kk]}`).join('=@='));
  const rowsNcolumnsItems = calcTradeFields(groupData, [...rows, ...columns], date);
  const pivotResult = Object.values(rowsNcolumnsItems.groupByKeys);

  const transposeData = (keys, dataProp, [dataKey, colKeys]=[]) =>
    Object.keys(dataProp)
      .map((rowKey) => {
        const rowLabel = keys.length === 0 ? '总' : keys.map(ekey => dataProp[rowKey][0][ekey]).join('»');
        const _colKey = dataKey || 'dataKey';
        const _colData = groupBy(dataProp[rowKey], (crow) => (colKeys || keys).map((kk) => `${crow[kk]}`).join('=@='));
        const _columnsObj = calcTradeFields(_colData);
        return { ...pick(dataProp[rowKey][0], keys), [_colKey]: _columnsObj.groupByKeys, key: _columnsObj.key, rowLabel };
      })
      .map((everyR) => {
        const _colKey = dataKey || 'dataKey';
        const allColumns = Object.values(everyR[_colKey]).reduce((r, c) => r.concat([c]), []);
        const summaryCalc = [
          'ConfirmOrder',
          'SumOrder',
          'SumML',
          'transactions',
          'SumPersonNum',
          'ConfirmPersonNum',
          'quotePrice',
          'tourdays',
          'applyDays',
          'confirmDays',
          'PPPrice', 'AvgPPPrice',
          'confirmTourdays',
        ].reduce((r, skey) => ({ ...r,
          [skey]: allColumns.reduce((a, c) => (fixTo2Decimals(a + c[skey])), 0),
          [`${skey}_arr`]: allColumns.reduce((a, c) => (a.concat(c[skey])), []),
        }),everyR);

        summaryCalc.tourdays = Math.ceil(summaryCalc.tourdays / allColumns.length);
        summaryCalc.confirmTourdays = summaryCalc.ConfirmOrder > 0 ? Math.ceil(summaryCalc.confirmTourdays / summaryCalc.ConfirmOrder) : '0';
        summaryCalc.applyDays = Math.ceil(summaryCalc.applyDays / allColumns.length);
        summaryCalc.confirmDays = Math.ceil(summaryCalc.confirmDays / allColumns.length);
        summaryCalc.ConfirmRates = summaryCalc.ConfirmOrder ? fixTo2Decimals(summaryCalc.ConfirmOrder / summaryCalc.SumOrder*100) : 0;
        summaryCalc.OrderValue = summaryCalc.SumOrder ? fixToInt(summaryCalc.SumML / summaryCalc.SumOrder) : 0;
        summaryCalc.SingleML = summaryCalc.ConfirmOrder ? fixTo2Decimals(summaryCalc.SumML / summaryCalc.ConfirmOrder) : 0;
        summaryCalc.AvgPPPrice = Math.ceil(summaryCalc.AvgPPPrice / allColumns.length);
        summaryCalc.PPPriceRange = calcPPPriceRange(summaryCalc.AvgPPPrice);
        summaryCalc.unitPPPrice = summaryCalc.confirmTourdays && summaryCalc.ConfirmPersonNum ? fixToInt(summaryCalc.quotePrice / summaryCalc.confirmTourdays / summaryCalc.ConfirmPersonNum) : -1;
        summaryCalc.unitPPPriceRange = calcPPPriceRange(summaryCalc.unitPPPrice);

        summaryCalc.SumML_txt = dataFieldAlias.SumML.formatter(summaryCalc.SumML);
        summaryCalc.ConfirmRates_txt = dataFieldAlias.ConfirmRates.formatter(summaryCalc.ConfirmRates);

        return { ...everyR, ...summaryCalc };
      });

  const rowsData = groupBy(data, (row) => rows.map((kk) => `${row[kk]}`).join('=@='));
  const summaryRows = transposeData(rows, rowsData, ['columns', columns]);

  const columnsData = groupBy(data, (row) => columns.map((kk) => `${row[kk]}`).join('=@='));
  const summaryColumns = transposeData(columns, columnsData, ['rows', rows]);

  const rowsMixcolumns = flush([].concat(rows, columns));
  const rowsMixcolumnsData = groupBy(data, (row) => rowsMixcolumns.map((kk) => `${row[kk]}`).join('=@='));
  const summaryMix = transposeData(rowsMixcolumns, rowsMixcolumnsData);

  console.timeEnd('pivot3----');
  return { data: pivotResult, columnValues: [rowsKeys, columnsKeys, dateKeys], summaryRows, summaryColumns, pivotKeys: groupbyKeys, summaryMix };
};

// todo: 优化 pivotBy 速度
export const pivotBy3 = (data, [rows, columns, date]) => {
  console.log('pivotBy', [rows, columns, date]);
  console.time('pivot2');
  // const rowKeys = new Set(data.map(row => row[rows[0]]));
  const rowKeys = rows.map((keyField) => {
    const keyu = new Set(data.map((f) => f[keyField]));
    return keyu;
  });
  const colKeys = new Set(data.map(row => row[columns[0]]));
  const dateKeys = new Set(data.map(row => row[date]));

  const aggregatedData = {};

  data.forEach(row => {
    const rowKey = row[rows[0]] ?? '__total';
    const colKey = row[columns[0]] ?? '__total';
    const dateKey = row[date];

    if (!aggregatedData[rowKey]) {
      aggregatedData[rowKey] = {};
    }

    // if (!aggregatedData[rowKey][colKey]) {
    //   aggregatedData[rowKey][colKey] = {};
    // }

    if (!aggregatedData[rowKey][colKey]) {
      aggregatedData[rowKey][colKey] = {
        SumOrder: 0,
        // other aggregated fields
        SumPersonNum: 0,
        ConfirmOrder: 0,
        transactions: 0,
        SumML: 0,
        // ...
        quotePrice: 0,
        tourdays: 0,
        applyDays: 0,
        confirmDays: 0,
      };

    }

    aggregatedData[rowKey][colKey].SumOrder++;
    aggregatedData[rowKey][colKey].SumPersonNum += row.personNum;
    aggregatedData[rowKey][colKey].ConfirmOrder += Number(row.orderState === 1);
    aggregatedData[rowKey][colKey].transactions += row.transactions;
    aggregatedData[rowKey][colKey].SumML += row.ML;
    // aggregate other fields

  });

  const summarizedData = [];

  // Generate summary rows
  for (const rowKey of rowKeys) {

    const rowAggregations = {
      SumOrder: 0,
      // other aggregated fields
      SumPersonNum: 0,
      ConfirmOrder: 0,
      transactions: 0,
      SumML: 0,
      // ...
      quotePrice: 0,
      tourdays: 0,
      applyDays: 0,
      confirmDays: 0,
    };

    // Calculate aggregates over colKey
    for (const colKey in aggregatedData[rowKey]) {
      rowAggregations.SumOrder += aggregatedData[rowKey][colKey].SumOrder;
      rowAggregations.SumPersonNum += aggregatedData[rowKey][colKey].SumPersonNum;
      rowAggregations.ConfirmOrder += aggregatedData[rowKey][colKey].ConfirmOrder;
      rowAggregations.transactions += aggregatedData[rowKey][colKey].transactions;
      rowAggregations.SumML += aggregatedData[rowKey][colKey].SumML;
      // ...aggregate all other fields
    }

    const row = {
      [rows[0]]: rowKey,
      ...rowAggregations
    };

    summarizedData.push(row);
  }

  // Generate summary columns
  for (const colKey of colKeys) {
    const colAggregations = {
      SumOrder: 0,
      // other aggregated fields
      SumPersonNum: 0,
      ConfirmOrder: 0,
      transactions: 0,
      SumML: 0,
      // ...
      quotePrice: 0,
      tourdays: 0,
      applyDays: 0,
      confirmDays: 0,
    };

    // Calculate aggregates over rowKey
    for (const rowKey in aggregatedData) {
      if (aggregatedData[rowKey][colKey]) {
        colAggregations.SumOrder += aggregatedData[rowKey][colKey].SumOrder;
        colAggregations.SumPersonNum += aggregatedData[rowKey][colKey].SumPersonNum;
        colAggregations.ConfirmOrder += aggregatedData[rowKey][colKey].ConfirmOrder;
        colAggregations.transactions += aggregatedData[rowKey][colKey].transactions;
        colAggregations.SumML += aggregatedData[rowKey][colKey].SumML;
        // ...aggregate all other fields
      }
    }

    const col = {
      [columns[0]]: colKey,
      ...colAggregations
    };

    summarizedData.push(col);
  }

  console.timeEnd('pivot2');
  console.log('pivot2 ddd', aggregatedData);
  return {
    data: [], // aggregatedData,
    columnValues: [rowKeys, colKeys, dateKeys],
    summaryRows: summarizedData.filter(r => r[rows[0]]),
    summaryColumns: summarizedData.filter(c => c[columns[0]])
  };

};