import moment from 'moment';

export const datePartOptions = [
  { label: '日', value: 'day' },
  { label: '周', value: 'week' },
  { label: '月', value: 'month' },
  { label: '季', value: 'season' },
  { label: '年', value: 'year' },
];
export const datePartMethod = {
  'day': (date) => {
    return { 'dateKey': date, 'groupKey': date, date };
  },
  'week': (date, ...args) => {
    const dateO = moment(date);
    const year = dateO.weekYear();
    const week = dateO.week();
    // const weekOfMonth = dateO.week() - moment(date).startOf('month').week() + 1;
    const key = `W${String(week).padStart(2, '0')}`;
    const dateKey = `${year}-W${String(week).padStart(2, '0')}`;
    return { dateKey, 'groupKey': dateKey, date };
  },
  'season': (date) => {
    const dateO = moment(date);
    // const key = dateO.format('YYYY-Q');
    const key = `${dateO.year()}-${String(dateO.quarter()).padStart(2, 'Q')}`;
    const dateKey = `${dateO.year()}-${String(dateO.quarter()).padStart(2, 'Q')}`;
    return { dateKey, 'groupKey': key, date };
  },
  'month': (date) => {
    const dateO = moment(date);
    const key = dateO.format('YYYY-MM');
    const dateKey = dateO.format('YYYY-MM');
    return { dateKey, 'groupKey': key, date };
  },
  'year': (date) => {
    const dateO = moment(date);
    const key = dateO.format('YYYY');
    const dateKey = dateO.format('YYYY');
    return { dateKey, 'groupKey': key, date };
  },
};

/**
 *
 * @param {Array} data 结果数组
 * @param {*} dateType 切换的日期类型
 * @param {Object} mapper 映射结果字段
 * @returns {Object} { data, avg }
 * * data: 转换后的数组
 * * avg: 平均值
 */
export const parseDateType = (data, dateType = 'day', { dateKey, valueKey, seriesKey, _f }) => {
  const _calcF = {
    'avg': (sum, len) => sum / len,
  };
  const seriesDataMapped = data.reduce((r, v) => {
    const _k = v[seriesKey];
    (r[_k] || (r[_k] = [])).push(v);
    return r;
  }, {});
  const everySeries = Object.keys(seriesDataMapped).reduce((rs, _series) => {
    const e = seriesDataMapped[_series].reduce((r, v) => {
      const datePart = datePartMethod[dateType](v[dateKey]);
      const mergeKey = `${datePart.groupKey}@${_series}`;
      (r[mergeKey] || (r[mergeKey] = [])).push({ ...v, 'dateKey': datePart.dateKey, 'groupKey': datePart.groupKey, datePart });
      return r;
    }, {});
    return { ...rs, ...e };
  }, {});
  const resultKeys = Object.keys(everySeries);
  resultKeys.sort();
  const dateArr = [];
  const groupSum = resultKeys.reduce((a, key) => {
    const [_dateKey, _seriesKey] = key.split('@');
    dateArr.push(_dateKey);
    const containDate = everySeries[key].map((ele) => ele.datePart.date);
    const containDateM = [...new Set(containDate)].map((ele) => moment(ele));
    const min = moment.min(containDateM).format('YYYY-MM-DD');
    const max = moment.max(containDateM).format('YYYY-MM-DD');
    const dateRangeStr = min === max ? min : `${min}~${max}`;
    const dateRange = [min, max];
    const summaryVal = everySeries[key].reduce((rows, row) => rows + row[valueKey], 0);
    const retValue = _f === 'sum' ? summaryVal : _calcF(summaryVal, everySeries[key].length);
    a.push({ groupKey: key, value: retValue, dateKey: dateRangeStr, dateRange, containDate, [seriesKey]: _seriesKey, [dateKey]: _dateKey });
    return a;
  }, []);
  const avgDiv = [...new Set(dateArr)].length;
  const avgVal = groupSum.length !== 0 ? groupSum.reduce((s, c) => s + c.value, 0) / avgDiv : 0;
  return { data: groupSum, avgVal };
};

/**
 *
 * @param {Array} dataRaw 结果数组
 * @param {*} dateGroup 切换的日期类型, radio onchange 的值
 * @param {Object} dataMapper 映射数据集字段 { data1, data2 }
 * @param {Object} mapper 映射结果字段 { dateKey, valueKey, _f }
 * * dateKey: 日期. 'ApplyDate'
 * * valueKey: 结果. 'orderCount'
 * * seriesKey: 序列. 'WebCode'
 * * _f: 计算方法. 'sum' | 'avg
 * @author LYT
 */
export const resultDataCb = (dataRaw, dateGroup, { data1, data2 }, fieldMapper, cb) => {
  const _data1 = data1 ? dataRaw[data1] : dataRaw;
  const _data2 = data2 ? dataRaw[data2] : [];
  const parse1 = parseDateType(_data1, dateGroup, fieldMapper);
  const parseData1 = parse1.data.map((ele) => ({
    [fieldMapper.dateKey]: ele[fieldMapper.dateKey],
    [fieldMapper.valueKey]: ele.value,
    [fieldMapper.seriesKey]: ele[fieldMapper.seriesKey],
    groups: _data1[0].groups,
    dateKey: ele.dateKey,
    dateRange: ele.dateRange,
    dateGroup: ele[fieldMapper.dateKey],
  }));
  const parse2 = parseDateType(_data2, dateGroup, fieldMapper);
  const parseData2 = parse2.data.map((ele) => ({
    [fieldMapper.dateKey]: ele[fieldMapper.dateKey],
    // [fieldMapper.dateKey]: ele.groupKey,
    [fieldMapper.valueKey]: ele.value,
    [fieldMapper.seriesKey]: ele[fieldMapper.seriesKey],
    groups: _data2[0].groups,
    dateKey: ele.dateKey,
    dateRange: ele.dateRange,
    dateGroup: ele[fieldMapper.dateKey],
  }));
  const useKeys = parseData1.map((ele) => ele[fieldMapper.dateKey]);
  const reindexData2 = parseData2.map((ele, index) => ({ ...ele, [fieldMapper.dateKey]: useKeys[index] || `_${ele[fieldMapper.dateKey]}`, dateKey: ele.dateKey }));
  const retData = [].concat(parseData1, reindexData2 );
  const avg1 = parse1.avgVal;
  // console.log('callback', dateGroup, retData);
  cb(dateGroup, retData, avg1);
};