| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505 | /* * << * 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 { DEFAULT_SPLITER } from 'app/globalConstants'import {  IFieldFormatConfig,  getFormattedValue,  FieldFormatTypes} from 'containers/Widget/components/Config/Format'import { decodeMetricName, getChartTooltipLabel } from '../../components/util'import {  getDimetionAxisOption,  getMetricAxisOption,  getLabelOption,  getLegendOption,  getGridPositions,  makeGrouped,  getGroupedXaxis,  getCartesianChartMetrics,  getCartesianChartReferenceOptions} from './util'import {  getStackName,  EmptyStack} from 'containers/Widget/components/Config/Stack'const defaultTheme = require('assets/json/echartsThemes/default.project.json')const defaultThemeColors = defaultTheme.theme.colorimport { inGroupColorSort } from '../../components/Config/Sort/util'import { FieldSortTypes } from '../../components/Config/Sort'import ChartTypes from '../../config/chart/ChartTypes'export default function (chartProps: IChartProps, drillOptions) {  const { data, cols, chartStyles, color, tip, references } = chartProps  const {    isDrilling,    getDataDrillDetail,    instance,    selectedItems,    callback  } = drillOptions  const metrics = getCartesianChartMetrics(chartProps.metrics)  const { bar, label, legend, xAxis, yAxis, splitLine } = chartStyles  const {    barChart,    border: barBorder,    gap: barGap,    width: barWidth,    stack: stackConfig  } = bar  const {    color: borderColor,    width: borderWidth,    type: borderType,    radius: barBorderRadius  } = barBorder  const { on: turnOnStack, percentage } = stackConfig || EmptyStack  const {    showVerticalLine,    verticalLineColor,    verticalLineSize,    verticalLineStyle,    showHorizontalLine,    horizontalLineColor,    horizontalLineSize,    horizontalLineStyle  } = splitLine  const labelOption = {    label: {      ...getLabelOption('bar', label, metrics, false, {        formatter: (params) => {          const { value, seriesId } = params          const m = metrics.find(            (m) =>              m.name ===              seriesId.split(`${DEFAULT_SPLITER}${DEFAULT_SPLITER}`)[0]          )          let format: IFieldFormatConfig = m.format          let formattedValue = value          if (percentage) {            format = {              formatType: FieldFormatTypes.Percentage,              [FieldFormatTypes.Percentage]: {                decimalPlaces: 0              }            }            formattedValue /= 100          }          const formatted = getFormattedValue(formattedValue, format)          return formatted        }      })    }  }  const referenceOptions = getCartesianChartReferenceOptions(    references,    ChartTypes.Bar,    metrics,    data,    barChart  )  const xAxisColumnName = cols.length ? cols[0].name : ''  let xAxisData = []  let grouped = {}  let percentGrouped = {}  if (color.items.length) {    xAxisData = getGroupedXaxis(data, xAxisColumnName, metrics)    grouped = makeGrouped(      data,      color.items.map((c) => c.name),      xAxisColumnName,      metrics,      xAxisData    )    const configValue = color.items[0].config.values    const configKeys = []    Object.entries(configValue).forEach(([k, v]: [string, string]) => {      configKeys.push(k)    })    percentGrouped = makeGrouped(      data,      cols.map((c) => c.name),      color.items[0].name,      metrics,      configKeys    )  } else {    xAxisData = data.map((d) => d[xAxisColumnName] || '')  }  const series = []  const seriesData = []  metrics.forEach((m, i) => {    const decodedMetricName = decodeMetricName(m.name)    const stackOption = turnOnStack      ? { stack: getStackName(m.name, stackConfig) }      : null    if (color.items.length) {      const sumArr = []      Object.entries(percentGrouped).forEach(([k, v]: [string, any[]]) => {        sumArr.push(getColorDataSum(v, metrics))      })      const groupEntries = Object.entries(grouped)      const customColorSort = color.items        .filter(({ sort }) => sort && sort.sortType === FieldSortTypes.Custom)        .map(({ name, sort }) => ({          name,          list: sort[FieldSortTypes.Custom].sortList        }))      if (customColorSort.length) {        inGroupColorSort(groupEntries, customColorSort[0])      }      groupEntries.forEach(([k, v]: [string, any[]], gIndex) => {        const serieObj = {          id: `${m.name}${DEFAULT_SPLITER}${DEFAULT_SPLITER}${k}`,          name: `${k}${metrics.length > 1 ? ` ${m.displayName}` : ''}`,          type: 'bar',          ...stackOption,          sampling: 'average',          data: v.map((g, index) => {            if (              selectedItems &&              selectedItems.length &&              selectedItems.some((item) => item === index)            ) {              return {                value: percentage                  ? (g[`${m.agg}(${decodedMetricName})`] / sumArr[index]) * 100                  : g[`${m.agg}(${decodedMetricName})`],                itemStyle: {                  normal: {                    opacity: 1                  }                }              }            } else {              if (percentage) {                return (                  (g[`${m.agg}(${decodedMetricName})`] / sumArr[index]) * 100                )              } else {                return g[`${m.agg}(${decodedMetricName})`]              }            }          }),          itemStyle: {            normal: {              opacity: selectedItems && selectedItems.length > 0 ? 0.25 : 1,              color: color.items[0].config.values[k]            }          },          ...labelOption,          ...(gIndex === groupEntries.length - 1 &&            i === metrics.length - 1 &&            referenceOptions)        }        series.push(serieObj)        seriesData.push(grouped[k])      })    } else {      const serieObj = {        id: m.name,        name: m.displayName,        type: 'bar',        ...stackOption,        sampling: 'average',        data: data.map((d, index) => {          if (            selectedItems &&            selectedItems.length &&            selectedItems.some((item) => item === index)          ) {            return {              value: percentage                ? (d[`${m.agg}(${decodedMetricName})`] /                    getDataSum(data, metrics)[index]) *                  100                : d[`${m.agg}(${decodedMetricName})`],              itemStyle: {                normal: {                  opacity: 1                }              }            }          } else {            if (percentage) {              return (                (d[`${m.agg}(${decodedMetricName})`] /                  getDataSum(data, metrics)[index]) *                100              )            } else {              return d[`${m.agg}(${decodedMetricName})`]            }          }        }),        itemStyle: {          normal: {            opacity: selectedItems && selectedItems.length > 0 ? 0.25 : 1,            borderColor,            borderWidth,            borderType,            barBorderRadius,            color:              color.value[m.name] ||              defaultThemeColors[i % defaultThemeColors.length]          }        },        barGap: `${barGap}%`,        barWidth: barWidth ? `${barWidth}%` : undefined,        // lineStyle: {        //   normal: {        //     opacity: interactIndex === undefined ? 1 : 0.25        //   }        // },        // itemStyle: {        //   normal: {        // opacity: interactIndex === undefined ? 1 : 0.25        // color: color.value[m.name] || defaultThemeColors[i]        // }        // },        ...labelOption,        ...(i === metrics.length - 1 && referenceOptions)      }      series.push(serieObj)      seriesData.push([...data])    }  })  const seriesNames = series.map((s) => s.name)  if (turnOnStack && stackConfig.sum.show) {    const {      fontFamily,      fontStyle,      fontColor,      fontSize,      fontWeight    } = stackConfig.sum.font    const sumSeries = series.reduce((acc, serie, serieIdx) => {      const stackName = serie.stack      if (acc[stackName]) {        return acc      }      acc[stackName] = {        name: stackName,        type: 'bar',        stack: stackName,        label: {          normal: {            show: true,            color: fontColor,            fontStyle,            fontWeight,            fontFamily,            fontSize,            position: barChart ? 'right' : 'top',            formatter: (params) => {              let val = series                .filter((s) => s.stack === stackName)                .reduce((acc, s) => {                  const dataIndex = params.dataIndex                  if (typeof s.data[dataIndex] === 'number') {                    return acc + s.data[params.dataIndex]                  } else {                    const { value } = s.data[dataIndex]                    return acc + value                  }                }, 0)              let format = metrics[serieIdx].format              if (percentage) {                format = {                  formatType: FieldFormatTypes.Percentage,                  [FieldFormatTypes.Percentage]: {                    decimalPlaces: 0                  }                }                val /= 100              }              const formattedValue = getFormattedValue(val, format)              return formattedValue            }          }        },        data: Array.from(xAxisData).fill(0)      }      return acc    }, {})    series.push(...Object.values(sumSeries))  }  const brushedOptions =    isDrilling === true      ? {          brush: {            toolbox: ['rect', 'polygon', 'keep', 'clear'],            throttleType: 'debounce',            throttleDelay: 300,            brushStyle: {              borderWidth: 1,              color: 'rgba(255,255,255,0.2)',              borderColor: 'rgba(120,140,180,0.6)'            }          }        }      : null  // if (isDrilling) {  //   //  instance.off('brushselected')  //     instance.on('brushselected', brushselected)  //     setTimeout(() => {  //         instance.dispatchAction({  //         type: 'takeGlobalCursor',  //         key: 'brush',  //         brushOption: {  //           brushType: 'rect',  //           brushMode: 'multiple'  //         }  //       })  //     }, 0)  //   }  if (callback) {    callback.call(null, seriesData)  }  function brushselected(params) {    const brushComponent = params.batch[0]    const brushed = []    const sourceData = seriesData[0]    let range: any[] = []    if (brushComponent && brushComponent.areas && brushComponent.areas.length) {      brushComponent.areas.forEach((area) => {        range = range.concat(area.range)      })    }    if (      brushComponent &&      brushComponent.selected &&      brushComponent.selected.length    ) {      for (let i = 0; i < brushComponent.selected.length; i++) {        const rawIndices = brushComponent.selected[i].dataIndex        const seriesIndex = brushComponent.selected[i].seriesIndex        brushed.push({ [i]: rawIndices })      }    }    if (getDataDrillDetail) {      getDataDrillDetail(JSON.stringify({ range, brushed, sourceData }))    }  }  const xAxisSplitLineConfig = {    showLine: showVerticalLine,    lineColor: verticalLineColor,    lineSize: verticalLineSize,    lineStyle: verticalLineStyle  }  const yAxisSplitLineConfig = {    showLine: showHorizontalLine,    lineColor: horizontalLineColor,    lineSize: horizontalLineSize,    lineStyle: horizontalLineStyle  }  const dimetionAxisOption = getDimetionAxisOption(    xAxis,    xAxisSplitLineConfig,    xAxisData  )  const metricAxisOption = getMetricAxisOption(    yAxis,    yAxisSplitLineConfig,    metrics.map((m) => decodeMetricName(m.name)).join(` / `),    'x',    percentage  )  return {    xAxis: barChart ? metricAxisOption : dimetionAxisOption,    yAxis: barChart ? dimetionAxisOption : metricAxisOption,    series,    tooltip: {      formatter: getChartTooltipLabel('bar', seriesData, {        cols,        metrics,        color,        tip      })    },    legend: getLegendOption(legend, seriesNames),    grid: getGridPositions(      legend,      seriesNames,      '',      barChart,      yAxis,      xAxis,      xAxisData    )    // ...brushedOptions  }}export function getDataSum(data, metrics) {  const dataSum = data.map((d, index) => {    const metricArr = []    let maSum = 0    metrics.forEach((m, i) => {      const decodedMetricName = decodeMetricName(m.name)      const metricName = d[`${m.agg}(${decodedMetricName})`]      metricArr.push(metricName)      if (metricArr.length === metrics.length) {        metricArr.forEach((mr) => {          maSum += mr        })      }    })    return maSum  })  return dataSum}export function getColorDataSum(data, metrics) {  let maSum = 0  const dataSum = data.map((d, index) => {    let metricArr = 0    metrics.forEach((m, i) => {      const decodedMetricName = decodeMetricName(m.name)      const metricName = d[`${m.agg}(${decodedMetricName})`]      metricArr += metricName    })    return metricArr  })  dataSum.forEach((mr) => {    maSum += mr  })  return maSum}
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