/*
 * <<
 * Davinci
 * ==
 * Copyright (C) 2016 - 2017 EDP
 * ==
 * Licensed 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
 * limitations under the License.
 * >>
 */

import { IChartProps } from '../../components/Chart'
import {
  decodeMetricName,
  getTextWidth
} from '../../components/util'
import { getLegendOption, getLabelOption } from './util'
import { EChartOption } from 'echarts'
import { getFormattedValue } from '../../components/Config/Format'
import defaultTheme from 'assets/json/echartsThemes/default.project.json'
const defaultThemeColors = defaultTheme.theme.color

export default function (chartProps: IChartProps, drillOptions?: any) {
  const {
    width,
    height,
    data,
    cols,
    metrics,
    chartStyles,
    color,
    tip
  } = chartProps

  const { label, legend, spec, toolbox } = chartStyles

  const { legendPosition, fontSize } = legend

  const { alignmentMode, gapNumber, sortMode } = spec

  const labelOption = {
    label: getLabelOption('funnel', label, metrics)
  }

  const { selectedItems } = drillOptions

  let seriesObj = {}
  const seriesArr = []
  const legendData = []
  let grouped: { [key: string]: object[] } = {}

  if (metrics.length <= 1) {
    const groupColumns = color.items
      .map((c) => c.name)
      .concat(cols.map((c) => c.name))
      .reduce((distinctColumns, col) => {
        if (!distinctColumns.includes(col)) {
          distinctColumns.push(col)
        }
        return distinctColumns
      }, [])

    grouped = data.reduce<{ [key: string]: object[] }>((obj, val) => {
      const groupingKey = groupColumns
        .reduce((keyArr, col) => keyArr.concat(val[col]), [])
        .join(String.fromCharCode(0))
      if (!obj[groupingKey]) {
        obj[groupingKey] = []
      }
      obj[groupingKey].push(val)
      return obj
    }, {})

    metrics.forEach((metric) => {
      const decodedMetricName = decodeMetricName(metric.name)
      const metricNameWithAgg = `${metric.agg}(${decodedMetricName})`

      const seriesData = []
      Object.entries(grouped).forEach(([key, value]) => {
        const legendStr = key.replace(String.fromCharCode(0), ' ')
        legendData.push(legendStr)
        value.forEach((v) => {
          const obj = {
            name: legendStr,
            value: v[metricNameWithAgg]
          }
          seriesData.push(obj)
        })
      })

      const maxValue = Math.max(
        ...data.map((s) => s[metricNameWithAgg])
      )
      const minValue = Math.min(
        ...data.map((s) => s[metricNameWithAgg])
      )

      const numValueArr = data.map(
        (d) => d[metricNameWithAgg] >= 0
      )
      const minSizePer = (minValue / maxValue) * 100
      const minSizeValue =
        numValueArr.indexOf(false) === -1 ? `${minSizePer}%` : '0%'

      const funnelLeft =
        56 +
        Math.max(...legendData.map((s) => getTextWidth(s, '', `${fontSize}px`)))
      const leftValue =
        legendPosition === 'left' ? width * 0.15 + funnelLeft : width * 0.15
      const topValue =
        legendPosition === 'top' ? height * 0.12 + 32 : height * 0.12

      const heightValue =
        legendPosition === 'left' || legendPosition === 'right'
          ? height - height * 0.12 * 2
          : height - 32 - height * 0.12 * 2
      const widthValue =
        legendPosition === 'left' || legendPosition === 'right'
          ? width - funnelLeft - width * 0.15 * 2
          : width - width * 0.15 * 2

      seriesObj = {
        name: '',
        type: 'funnel',
        min: minValue,
        max: maxValue,
        minSize: minSizeValue,
        maxSize: '100%',
        sort: sortMode,
        funnelAlign: alignmentMode,
        gap: gapNumber || 0,
        left: leftValue,
        top: topValue,
        width: widthValue,
        height: heightValue,
        data: getFunnelSeriesData(seriesData)
          .map((data, index) => {
            return {
              ...data,
              itemStyle: {
                normal: {
                  ...color.items.length && {
                    color: color.items[0].config.values[data.name]
                  },
                  opacity: selectedItems && selectedItems.length
                    ? selectedItems.includes(index) ? 1 : 0.25
                    : 1
                }
              }
            }
          }),
        itemStyle: {
          emphasis: {
            shadowBlur: 10,
            shadowOffsetX: 0,
            shadowColor: 'rgba(0, 0, 0, 0.5)'
          }
        },
        ...labelOption
      }

      seriesArr.push(seriesObj)
    })
  } else {
    const seriesData = []
    metrics.forEach((metric) => {
      const decodedMetricName = decodeMetricName(metric.name)
      legendData.push(decodedMetricName)
      seriesData.push({
        name: decodedMetricName,
        metricName: metric.name,
        value: data.reduce((sum, record) => sum + record[`${metric.agg}(${decodedMetricName})`], 0)
      })
    })

    seriesObj = {
      type: 'funnel',
      sort: sortMode,
      funnelAlign: alignmentMode,
      gap: gapNumber || 0,
      left: width * 0.15,
      top: height * 0.12,
      width: width - width * 0.15 * 2,
      height: height - height * 0.12 * 2,
      data: getFunnelSeriesData(seriesData)
        .map((data, index) => ({
          ...data,
          itemStyle: {
            normal: {
              color: color.value[data.metricName] || defaultThemeColors[index % defaultThemeColors.length],
              opacity: selectedItems && selectedItems.length
                ? selectedItems.includes(index) ? 1 : 0.25
                : 1
            }
          }
        })),
      itemStyle: {
        emphasis: {
          shadowBlur: 10,
          shadowOffsetX: 0,
          shadowColor: 'rgba(0, 0, 0, 0.5)'
        }
      },
      ...labelOption
    }
    seriesArr.push(seriesObj)
  }

  const tooltip: EChartOption.Tooltip = {
    trigger: 'item',
    formatter (params: EChartOption.Tooltip.Format) {
      const { color, name, value, percent, dataIndex, data } = params
      const formattedValue = getFormattedValue(
        value as number,
        metrics[metrics.length > 1 ? dataIndex : 0].format
      )
      const tooltipLabels = []
      let basicInfo = `${name}: ${formattedValue}`
      if (color) {
        basicInfo = `<span class="widget-tooltip-circle" style="background: ${color}"></span> ${basicInfo}`
      }
      tooltipLabels.push(basicInfo)
      if (data.conversion) {
        tooltipLabels.push(`转化率: ${data.conversion}%`)
      }
      if (data.arrival) {
        tooltipLabels.push(`到达率: ${data.arrival}%`)
      }
      tooltipLabels.push(`百分比: ${percent}%`)
      return tooltipLabels.join('<br/>')
    }
  }

  return {
    tooltip,
    legend: getLegendOption(legend, legendData),
    series: seriesArr
  }
}

function getFunnelSeriesData (seriesData) {
  return seriesData
    .sort((d1, d2) => d2.value - d1.value)
    .map((d, index) => {
      if (index) {
        d.conversion = formatPercent(d.value / seriesData[index - 1].value * 100)
        d.arrival = formatPercent(d.value / seriesData[0].value * 100)
      }
      return d
    })
}

function formatPercent (per) {
  const perStr = per + ''
  return perStr.length - (perStr.indexOf('.') + 1) > 2
    ? per.toFixed(2)
    : perStr
}