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micro-ui/src/views/visual/datachart/components/widgets/ChartWordCloud.vue
2023-12-22 12:18:52 +08:00

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<template>
<div ref="chart" :style="chartStyle">ChartWordcloud</div>
</template>
<script>
import echarts from 'echarts'
require('echarts-wordcloud')
import { convertPathToMap, SEPARATOR } from '@/utils/visual-chart'
export default {
name: 'ChartWordcloud',
props: {
data: {
type: Array,
required: true,
default: () => []
},
rows: {
type: Array,
required: true,
default: () => []
},
columns: {
type: Array,
required: true,
default: () => []
},
values: {
type: Array,
required: true,
default: () => []
},
chartType: {
type: String,
required: true
},
chartTheme: {
type: String,
require: true,
default: 'default'
},
chartOption: {
type: Object,
require: false,
default: () => ({})
},
chartStyle: {
type: Object,
require: false,
default: () => {
return {
height: '200px'
}
}
}
},
data() {
return {
localRows: [],
localColumns: [],
localValues: [],
localData: [],
// 连接符
connector: '-',
chart: null,
calcOption: {
tooltip: { trigger: 'item' }
},
calcData: {
seriesObj: {}
}
}
},
computed: {
watchAllProps() {
const { rows, columns, values, data } = this
return { rows, columns, values, data }
}
},
watch: {
watchAllProps() {
this.init()
this.mergeChartOption()
},
chartTheme() {
this.mergeChartTheme()
},
chartOption: {
handler(newValue, oldValue) {
this.mergeChartOption()
},
deep: true
}
},
mounted() {
this.renderChart()
this.$on('resized', this.handleResize)
window.addEventListener('resize', this.handleResize)
},
created() {
this.init()
},
beforeDestroy() {
if (this.chart) {
this.chart.dispose()
}
window.removeEventListener('resize', this.handleResize)
},
methods: {
init() {
if (this.rows.length || this.columns.length || this.values.length) {
this.handleDataClone()
this.setValuesToColAndRow()
this.handleCalcData()
} else {
console.warn('[Warn]: props.rows, props.columns, props.values at least one is not empty.')
}
},
// clone data
handleDataClone() {
this.localRows = JSON.parse(JSON.stringify(this.rows))
this.localColumns = JSON.parse(JSON.stringify(this.columns))
this.localValues = JSON.parse(JSON.stringify(this.values))
this.localData = Object.freeze(this.data)
},
// set the `values` attribute to rows and columns
setValuesToColAndRow() {
const rowKeys = this.localRows.map(({ key }) => key)
const columnKeys = this.localColumns.map(({ key }) => key)
const rowValues = this._findCategory(rowKeys, this.localData)
const columnValues = this._findCategory(columnKeys, this.localData)
this.localRows.forEach((row) => {
const { key, values } = row
this.$set(row, 'values', values || rowValues[key] || [])
})
this.localColumns.forEach((column) => {
const { key, values } = column
this.$set(column, 'values', values || columnValues[key] || [])
})
},
// 计算值
handleCalcData() {
if (!this.localRows.length || !this.localValues.length) return
const _rowPaths = this._combineRowPaths(
this.localData,
...this.localRows.map(({ key, values }) => { return { key, values } })
)
const _rowKeys = this.localRows.map(({ key }) => key)
const _colPaths = this._combineColPaths(
...this.localColumns.map(({ values }) => values)
)
const _colKeys = this.localColumns.map(({ key }) => key)
// 行对应的条件
const rowConditions = convertPathToMap(_rowPaths, _rowKeys)
// 列对应的条件
const colConditions = convertPathToMap(_colPaths, _colKeys)
// 针对没传入行或列的处理
!colConditions.length && colConditions.push({})
!rowConditions.length && rowConditions.push({})
const seriesObj = {}
colConditions.forEach((colCondition, colConditionIndex) => {
const isEmptyCol = !Object.keys(colCondition).length
this.localValues.forEach(({ key }, index) => {
const seriesName = isEmptyCol ? key : Object.values(colCondition).join(this.connector) + this.connector + key
seriesObj[seriesName] = {
name: seriesName,
type: this.chartType,
drawOutOfBound: true,
data: []
}
})
})
// 计算每个series数据
colConditions.forEach((colCondition, colConditionIndex) => {
const isEmptyCol = !Object.keys(colCondition).length
rowConditions.forEach((rowCondition, rowConditionIndex) => {
// 当前单元对应的条件
const conditions = Object.assign({}, rowCondition, colCondition)
// 通过当前单元对应的条件,过滤数据
const filterData = this._filterData(conditions, this.localData)
// 多个值,多条数据
this.localValues.forEach(({ key }) => {
const value = this._reduceValue(filterData, key)
const seriesName = isEmptyCol ? key : Object.values(colCondition).join(this.connector) + this.connector + key
seriesObj[seriesName].data.push(
{
name: Object.values(rowCondition).join(this.connector),
value: value
}
)
})
})
})
this.calcData.seriesObj = seriesObj
},
handleResize() {
if (this.chart) {
this.chart.resize()
}
},
renderChart() {
if (!this.$refs.chart) return
let option = Object.assign({}, this.chartOption, this.calcOption)
option = JSON.parse(JSON.stringify(option))
const series = JSON.parse(JSON.stringify(Object.values(this.calcData.seriesObj)))
option.series = series
setTimeout(() => {
if (!this.chart) {
if (this.chartTheme !== 'default') {
require('./themes/' + this.chartTheme + '.js')
}
this.chart = echarts.init(this.$refs.chart, this.chartTheme)
}
this.chart.clear()
this.chart.setOption(option)
}, 0)
},
mergeChartTheme() {
if (!this.$refs.chart) return
if (this.chart) {
// 使用刚指定的配置项和数据显示图表
let option = Object.assign({}, this.chartOption, this.calcOption)
option = JSON.parse(JSON.stringify(option))
const series = JSON.parse(JSON.stringify(Object.values(this.calcData.seriesObj)))
option.series = series
if (this.chartTheme !== 'default') {
require('./themes/' + this.chartTheme + '.js')
}
this.chart.dispose()
// 基于准备好的dom初始化echarts实例
this.chart = echarts.init(this.$refs.chart, this.chartTheme)
this.chart.setOption(option)
}
},
mergeChartOption() {
if (!this.$refs.chart) return
if (this.chart) {
let option = Object.assign({}, this.chartOption, this.calcOption)
option = JSON.parse(JSON.stringify(option))
const series = JSON.parse(JSON.stringify(Object.values(this.calcData.seriesObj)))
option.series = series
this.chart.clear()
this.chart.setOption(option, true)
}
},
_combineRowPaths(data, ...arrays) {
const len = arrays.length
let _result = []
if (len) {
const rowPaths = arrays.reduce((prev, curr) => {
const arr = []
prev.values.forEach(_prevEl => {
const prevKey = prev.key.split(SEPARATOR)
curr.values.forEach(_currEl => {
const currKey = curr.key
const conditions = {}
prevKey.forEach((key, i) => {
conditions[key] = _prevEl.split(SEPARATOR)[i]
})
conditions[currKey] = _currEl
// 判断数据里是否有该项
const filter = data.some((data) => {
let status = true
for (const key in conditions) {
if (conditions[key] !== data[key]) {
status = false
return
}
}
return status
})
if (filter) {
arr.push(_prevEl + SEPARATOR + _currEl)
}
})
})
return { key: prev.key + SEPARATOR + curr.key, values: arr }
}) || {}
_result = rowPaths.values || []
}
return _result
},
_combineColPaths(...arrays) {
return arrays.length ? arrays.reduce((prev, curr) => {
const arr = []
prev.forEach(_prevEl => {
curr.forEach(_currEl => {
arr.push(_prevEl + SEPARATOR + _currEl)
})
})
return arr
}) : arrays
},
_findCategory(keys = [], data = []) {
const _result = {}
data.forEach(item => {
keys.forEach(key => {
// Remove duplicates
_result[key] = _result[key] || []
_result[key].push(item[key])
_result[key] = [...new Set(_result[key])]
})
})
return _result
},
_reduceValue(data, key) {
if (!data.length) return 0
return data.reduce((sum, item) => { return sum + Number(item[key]) }, 0)
},
_filterData(conditions, data) {
return data.filter((data) => {
let status = true
for (const key in conditions) {
if (conditions[key] !== data[key]) {
status = false
return
}
}
return status
})
}
}
}
</script>
<style lang="scss" scoped>
</style>