需求背景

实现水利计算模型-雨量，流量，时间分割线

解决效果

ISQQW代码地址

链接

index.vue

<!--/**
* @author: liuk
* @date: 2024/06/13
* @describe: 洪水预报结果图表
*/-->
<template>
  <div ref="chatDom" class="sectionalResultChart"></div>
</template>

<script lang="ts" setup>
import {ref, onMounted, watch, nextTick, defineProps} from "vue"
import * as echarts from 'echarts'
import moment from 'moment'

import {formatToFixed} from "@/utils/dictionary"
// Props
const props = defineProps(['data'])

import {usefloodForecastStore} from "@/store/modules/floodForecast";

const floodForecastStore = usefloodForecastStore()

let myChart = null // Vue3 使用 proxy 对象代理，而 echarts 则使用了大量的全等（===）, 对比失败从而导致了bug。
const chatDom = ref(null)
const isWrank = ref(false) // 最大值是否超出1w

watch(() => props.data, (data) => {
  const temp = data.map(item => {
    const {historyFlow, hdlflow, ddrmflow, xajflow, siflow, lstmflow} = item
    return Object.values({historyFlow, hdlflow, ddrmflow, xajflow, siflow, lstmflow})
  }).flat()
  const maxValue = Math.max.apply(null, temp)
  isWrank.value = maxValue >= 1e4

  nextTick(() => {
    drawChart()
    myChart.showLoading({
      text: '加载中...',  // 加载提示文本
      color: '#fff',   // 加载动画颜色
      textColor: '#fff',  // 文字颜色
      maskColor: 'rgba(41, 12, 12, .5)',  // 遮罩颜色
      zlevel: 0           // z轴层级
    })
    if (data.length) {
      myChart.hideLoading();
      const option = myChart.getOption()
      myChart.clear()
      myChart.setOption(renderFn(option, data))
    }
  })
}, {immediate: true})

const renderFn = (option, data) => {
  const curForecastTime = floodForecastStore.curSelectObj.forecastTime || ''
  const len = data.length // 数据总长度
  let curDivisionHourNum = Math.max(data.findIndex(item => moment(item.time).valueOf() === moment(curForecastTime).valueOf()), 0) // 分割线位置
  debugger
  option.legend[0].data = ['面雨量', '实测流量', '混合深度学习', 'DDRM', '新安江', '时空异构', 'LSTM']
  option.xAxis[0].data = data.map(item => item.time)
  option.yAxis[0].name = isWrank.value ? '流量 万m³/s' : '流量 m³/s'
  option.yAxis[1].max = Math.max.apply(null,data.map(item => formatToFixed(item.rainfallValue) || 0)) * 3
  option.series[0].data = data.map(item => formatToFixed(item.rainfallValue) || 0)//面雨量
  option.series[1].data = data.map(item => formatToFixed(item.historyFlow) || 0)//实测流量
  option.series[2].data = data.slice(0, curDivisionHourNum).fill('-').concat(data.slice(curDivisionHourNum).map(item => formatToFixed(item.hdlflow) || 0))//混合深度学习
  option.series[3].data = data.slice(0, curDivisionHourNum).fill('-').concat(data.slice(curDivisionHourNum).map(item => formatToFixed(item.ddrmflow) || 0))//DDRM
  option.series[4].data = data.slice(0, curDivisionHourNum).fill('-').concat(data.slice(curDivisionHourNum).map(item => formatToFixed(item.xajflow) || 0))//新安江
  option.series[5].data = data.slice(0, curDivisionHourNum).fill('-').concat(data.slice(curDivisionHourNum).map(item => formatToFixed(item.siflow) || 0))//时空异构
  option.series[6].data = data.slice(0, curDivisionHourNum).fill('-').concat(data.slice(curDivisionHourNum).map(item => formatToFixed(item.lstmflow) || 0))//LSTM
  // ------- 虚线
  option.series[7].data = data.slice(0, curDivisionHourNum + 1).map(item => formatToFixed(item.hdlflow) || 0)//混合深度学习
  option.series[8].data = data.slice(0, curDivisionHourNum + 1).map(item => formatToFixed(item.ddrmflow) || 0)//DDRM
  option.series[9].data = data.slice(0, curDivisionHourNum + 1).map(item => formatToFixed(item.xajflow) || 0)//新安江
  option.series[10].data = data.slice(0, curDivisionHourNum + 1).map(item => formatToFixed(item.siflow) || 0)//时空异构
  option.series[11].data = data.slice(0, curDivisionHourNum + 1).map(item => formatToFixed(item.lstmflow) || 0)//LSTM
  // ----- 定位分割线
  option.series[12].data = new Array(len).fill(0.1)
  option.series[12].data[curDivisionHourNum] = 0
  const curHeight = parseInt(window.getComputedStyle(chatDom.value).height)
  switch (true) {
    case curHeight >= 600:
      option.series[12].markPoint.symbolSize = [1.5, 515]
      option.series[12].markPoint.symbolOffset = [0, -257]
      break
    case curHeight > 460:
      option.series[12].markPoint.symbolSize = [1.5, 385]
      option.series[12].markPoint.symbolOffset = [0, -192]
      break
    default:
      option.series[12].markPoint.symbolSize = [1.5, 200]
      option.series[12].markPoint.symbolOffset = [0, -100]
  }

  return option
}

onMounted(() => {
  window.addEventListener('resize', () => {
    drawChart()
    const option = myChart.getOption()
    myChart.clear()
    myChart.setOption(renderFn(option, props.data,))
  }, {passive: true});
})

const drawChart = () => {
  let chartDom = chatDom.value
  if (chartDom == null) {
    return
  }
  echarts.dispose(chartDom)
  myChart = echarts.init(chartDom)
  const option = {
        color: ['rgba(46, 165, 255, 1)', 'rgba(0, 0, 255, 1)', 'rgba(0, 207, 19, 1)', 'rgba(254, 254, 62, 1)', 'rgba(244, 106, 87, 1)', 'rgba(255, 162, 0, 1)', 'rgba(247, 0, 237, 1)'],
        tooltip: {
          trigger: 'axis',
          padding: [0, 10, 10, 10],
          axisPointer: {
            type: 'shadow',
            label: {
              show: true,
            },
          },
          formatter: function (param) {
            let data = param.filter(item => item.data !== '-' && item.seriesName !== "定位分割线")
            data = data.filter((item, i) => data.findIndex(x => x.seriesName === item.seriesName) === i)
            return `
          <div class="sectionalResultChart-popup">
            <p class="top">
                <span>${param[0]?.axisValue} </span>
            </p>
            ${
                data.map(item => {
                  let unit
                  switch (true) {
                    case ['面雨量'].includes(item.seriesName):
                      unit = 'mm';
                      break
                    default:
                      unit = 'm³/s'
                      break
                  }
                  return `
                  <p class="item">
                      <i class="icon" style="background-color:${item.color}"></i>
                      <span class="name">${item.seriesName}</span>
                      <span class="value"><b>${item.data || 0}</b>${item.data !== '--' ? unit : ''}</span>
                  </p>`
                }).join("")
            }
          </div>
        `
          }
        },
        dataZoom: [
          {
            type: 'inside'
          }
        ],
        grid: {
          left: 45,
          top: 40,
          right: 40,
          bottom: 40,
          splitLine: {
            show: true,
            lineStyle: {
              color: 'rgba(0, 0, 0, 0.1)',
              type: 'dashed'
            }
          }
        },
        legend: {
          data: [],
          top: 5,
          icon: 'circle',
          textStyle: {
            color: '#fff'
          },
        },
        xAxis: {
          type: 'category',
          data: ['2021/06/25', '2021/06/25', '2021/06/25', '2021/06/25', '2021/06/25', '2021/06/25', '2021/06/25',],
          alignTicks: true,
          axisLine: {
            lineStyle: {
              color: '#ccc'
            }
          },
          splitLine: {
            show: false,
            lineStyle: {
              width: 1,
              color: '#eee',
            },
          },
          axisTick: {
            alignWithLabel: true,
          },
          axisLabel: {
            margin: 10,
            textStyle: {
              color: '#eee',
              fontSize: 14,
            },
            formatter: (val) => moment(val).format('HH:mm')
          },
        },
        yAxis: [
          {
            type: 'value',
            name: '流量 m³/s',
            axisTick: {
              show: false,
            },
            axisLine: {
              show: false,
            },
            nameTextStyle: {
              color: '#fff'
            },
            splitLine: {
              show: false
            },
            axisLabel: {
              color: '#fff',
              formatter: (val) => isWrank.value ? formatToFixed(val / 1e4, 1) : val
            },
          },
          {
            type: 'value',
            name: '面雨量 mm',
            nameLocation: 'start',
            inverse: true,
            nameTextStyle: {
              color: '#fff'
            },
            splitLine: {
              show: false
            },
            axisLabel: {
              color: '#fff',

            },
          }
        ],
        series: [
          {
            name: '面雨量',
            type: 'bar',
            data: [],
            yAxisIndex: 1,
            itemStyle: {
              borderRadius: [0, 0, 5, 5]
            },
          },
          {
            name: '实测流量',
            smooth: true,
            type: 'line',
            showSymbol: false,
            barWidth: '30%',
            data: [],
            yAxisIndex: 0,
          },
          {
            name: '混合深度学习',
            type: 'line',
            smooth: true,
            showSymbol: false,
            barWidth: '30%',
            data: [],
            yAxisIndex: 0,
          },
          {
            name: 'DDRM',
            type: 'line',
            smooth: true,
            showSymbol: false,
            barWidth: '30%',
            data: [],
            yAxisIndex: 0,
          },
          {
            name: '新安江',
            type: 'line',
            smooth: true,
            showSymbol: false,
            barWidth: '30%',
            data: [],
            yAxisIndex: 0,
          },
          {
            name: '时空异构',
            type: 'line',
            smooth: true,
            showSymbol: false,
            barWidth: '30%',
            data: [],
            yAxisIndex: 0,
          },
          {
            name: 'LSTM',
            type: 'line',
            smooth: true,
            showSymbol: false,
            barWidth: '30%',
            data: [],
            yAxisIndex: 0,
          },
          // 虚线 -------------
          {
            name: '混合深度学习',
            type: 'line',
            smooth: true,
            showSymbol: false,
            barWidth: '30%',
            data: [],
            lineStyle: {
              type: 'dashed'
            },
            yAxisIndex: 0,
          },
          {
            name: 'DDRM',
            type: 'line',
            smooth: true,
            showSymbol: false,
            barWidth: '30%',
            data: [],
            lineStyle: {
              type: 'dashed'
            },
            yAxisIndex: 0,
          },
          {
            name: '新安江',
            type: 'line',
            smooth: true,
            showSymbol: false,
            barWidth: '30%',
            data: [],
            lineStyle: {
              type: 'dashed'
            },
            yAxisIndex: 0,
          },
          {
            name: '时空异构',
            type: 'line',
            smooth: true,
            showSymbol: false,
            barWidth: '30%',
            data: [],
            lineStyle: {
              type: 'dashed'
            },
            yAxisIndex: 0,
          },
          {
            name: 'LSTM',
            type: 'line',
            smooth: true,
            showSymbol: false,
            barWidth: '30%',
            data: [],
            lineStyle: {
              type: 'dashed'
            },
            yAxisIndex: 0,
            markLine: {
              silent: true,
              lineStyle: {
                type: 'solid',
                color: 'red',
              },
              data: 2
            },
          },
          //定位分割线 ---------------
          {
            name: '定位分割线',
            smooth: true,
            type: 'line',
            showSymbol: false,
            barWidth: '30%',
            color: 'transparent',
            data: ['0.1', '0.1', 0.1, 0.1, 0.1, 0.1, 0.1, 0, 0.1],
            yAxisIndex: 0,
            markPoint: {
              symbol: 'rect',
              symbolSize: [1.5, 600],
              symbolOffset: [0, -215],
              data: [
                {
                  type: 'min',
                  itemStyle: {
                    color: 'red'
                  },
                  label: {
                    show: true,
                    color: 'red',
                    position: 'top',
                    formatter: '预报作业时间',
                    fontSize: 12,
                  },
                  emphasis: {
                    disabled: true
                  }
                },
              ],
            },
          },
        ],
      };
  option && myChart.setOption(option)
}

</script>

<style lang="scss" scoped>
.sectionalResultChart {
  width: 100%;
  height: 100%;
  max-height: 600px;
}
</style>

<style lang="scss">
.sectionalResultChart-popup {
  overflow: hidden;
  //margin: 3px 10px;

  .top {
    //margin-bottom: 16px;
    font-weight: bold;
  }

  .item {
    display: flex;
    align-items: center;
    margin: 10px 0;

    &:last-child {
      margin-bottom: 0;
    }

    .icon {
      display: inline-block;
      width: 12px;
      height: 12px;
      margin-right: 10px;
      border-radius: 50%;
    }

    .name {
      width: 90px;
      margin-right: 10px;
    }

    .value {
      flex: 1;
      text-align: right;
    }
  }
}
</style>