taihu/app/containers/Widget/render/chart/line.ts

/*
 * <<
 * 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 {
  decodeMetricName,
  getChartTooltipLabel
} from '../../components/util'
import {
  getDimetionAxisOption,
  getMetricAxisOption,
  getLabelOption,
  getLegendOption,
  getGridPositions,
  makeGrouped,
  getGroupedXaxis,
  getCartesianChartMetrics,
  getCartesianChartReferenceOptions
} from './util'
import { getFormattedValue } from '../../components/Config/Format'
import ChartTypes from '../../config/chart/ChartTypes'
const defaultTheme = require('assets/json/echartsThemes/default.project.json')
const defaultThemeColors = defaultTheme.theme.color

export default function (chartProps: IChartProps, drillOptions?: any) {
  const { data, cols, chartStyles, color, tip, references } = chartProps
  const metrics = getCartesianChartMetrics(chartProps.metrics)
  const { spec, xAxis, yAxis, splitLine, label, legend } = chartStyles

  const {
    showVerticalLine,
    verticalLineColor,
    verticalLineSize,
    verticalLineStyle,
    showHorizontalLine,
    horizontalLineColor,
    horizontalLineSize,
    horizontalLineStyle
  } = splitLine

  const { smooth, step } = spec

  const { selectedItems } = drillOptions

  const labelOption = {
    label: getLabelOption('line', label, metrics)
  }
  const referenceOptions = getCartesianChartReferenceOptions(references, ChartTypes.Line, metrics, data)

  const xAxisColumnName = cols[0].name
  let xAxisData = []
  let grouped = {}

  if (color.items.length) {
    xAxisData = getGroupedXaxis(data, xAxisColumnName, metrics)
    grouped = makeGrouped(
      data,
      color.items.map((c) => c.name),
      xAxisColumnName,
      metrics,
      xAxisData
    )
  } else {
    xAxisData = data.map((d) => d[xAxisColumnName] || '')
  }

  const series = []
  const seriesData = []

  metrics.forEach((m, i) => {
    const decodedMetricName = decodeMetricName(m.name)
    if (color.items.length) {
      const groupedEntries = Object.entries(grouped)
      groupedEntries.forEach(([k, v]: [string, any[]], gIndex) => {
        const serieObj = {
          id: `${m.name}${DEFAULT_SPLITER}${DEFAULT_SPLITER}${k}`,
          name: `${k}${metrics.length > 1 ? ` ${m.displayName}` : ''}`,
          type: 'line',
          sampling: 'average',
          data: v.map((g, index) => {
            const itemStyleObj =
              selectedItems &&
              selectedItems.length &&
              selectedItems.some((item) => item === index)
                ? {
                    itemStyle: {
                      normal: {
                        opacity: 1,
                        borderWidth: 6
                      }
                    }
                  }
                : {}
            // if (index === interactIndex) {
            //   return {
            //     value: g[m],
            //     itemStyle: {
            //       normal: {
            //         opacity: 1
            //       }
            //     }
            //   }
            // } else {
            // return g[`${m.agg}(${decodedMetricName})`]
            return {
              value: g[`${m.agg}(${decodedMetricName})`],
              ...itemStyleObj
            }
            // }
          }),
          itemStyle: {
            normal: {
              // opacity: interactIndex === undefined ? 1 : 0.25
              color: color.items[0].config.values[k],
              opacity: selectedItems && selectedItems.length > 0 ? 0.7 : 1
            }
          },
          smooth,
          step,
          ...labelOption,
          ...(gIndex === groupedEntries.length - 1 &&
              i === metrics.length - 1 &&
              referenceOptions)
        }
        series.push(serieObj)
        seriesData.push(grouped[k])
      })
    } else {
      const serieObj = {
        id: m.name,
        name: m.displayName,
        type: 'line',
        sampling: 'average',
        data: data.map((g, index) => {
          const itemStyleObj =
            selectedItems &&
            selectedItems.length &&
            selectedItems.some((item) => item === index)
              ? {
                  itemStyle: {
                    normal: {
                      opacity: 1,
                      borderWidth: 8
                    }
                  }
                }
              : {}
          // if (index === interactIndex) {
          //   return {
          //     value: d[m],
          //     lineStyle: {
          //       normal: {
          //         opacity: 1
          //       }
          //     },
          //     itemStyle: {
          //       normal: {
          //         opacity: 1
          //       }
          //     }
          //   }
          // } else {
          return {
            value: g[`${m.agg}(${decodedMetricName})`],
            ...itemStyleObj
          }
          // }
        }),
        // lineStyle: {
        //   normal: {
        //     opacity: interactIndex === undefined ? 1 : 0.25
        //   }
        // },
        itemStyle: {
          normal: {
            // opacity: interactIndex === undefined ? 1 : 0.25
            color: color.value[m.name] || defaultThemeColors[i],
            opacity: selectedItems && selectedItems.length > 0 ? 0.7 : 1
          }
        },
        smooth,
        step,
        ...labelOption,
        ...(i === metrics.length - 1 && referenceOptions)
      }
      series.push(serieObj)
      seriesData.push([...data])
    }
  })

  const seriesNames = series.map((s) => s.name)

  // dataZoomOptions = dataZoomThreshold > 0 && dataZoomThreshold < dataSource.length && {
  //   dataZoom: [{
  //     type: 'inside',
  //     start: Math.round((1 - dataZoomThreshold / dataSource.length) * 100),
  //     end: 100
  //   }, {
  //     start: Math.round((1 - dataZoomThreshold / dataSource.length) * 100),
  //     end: 100,
  //     handleIcon: 'M10.7,11.9v-1.3H9.3v1.3c-4.9,0.3-8.8,4.4-8.8,9.4c0,5,3.9,9.1,8.8,9.4v1.3h1.3v-1.3c4.9-0.3,8.8-4.4,8.8-9.4C19.5,16.3,15.6,12.2,10.7,11.9z M13.3,24.4H6.7V23h6.6V24.4z M13.3,19.6H6.7v-1.4h6.6V19.6z',
  //     handleSize: '80%',
  //     handleStyle: {
  //       color: '#fff',
  //       shadowBlur: 3,
  //       shadowColor: 'rgba(0, 0, 0, 0.6)',
  //       shadowOffsetX: 2,
  //       shadowOffsetY: 2
  //     }
  //   }]
  // }

  const xAxisSplitLineConfig = {
    showLine: showVerticalLine,
    lineColor: verticalLineColor,
    lineSize: verticalLineSize,
    lineStyle: verticalLineStyle
  }

  const yAxisSplitLineConfig = {
    showLine: showHorizontalLine,
    lineColor: horizontalLineColor,
    lineSize: horizontalLineSize,
    lineStyle: horizontalLineStyle
  }

  const options = {
    xAxis: getDimetionAxisOption(xAxis, xAxisSplitLineConfig, xAxisData),
    yAxis: getMetricAxisOption(
      yAxis,
      yAxisSplitLineConfig,
      metrics.map((m) => decodeMetricName(m.name)).join(` / `)
    ),
    series,
    tooltip: {
      formatter: getChartTooltipLabel('line', seriesData, {
        cols,
        metrics,
        color,
        tip
      })
    },
    legend: getLegendOption(legend, seriesNames),
    grid: getGridPositions(
      legend,
      seriesNames,
      '',
      false,
      yAxis,
      xAxis,
      xAxisData
    )
  }

  return options
}