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449 lines
115 KiB
449 lines
115 KiB
const 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"nodes": [
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{
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"id": "659b3546-395d-482b-b3c3-4019d1e001cf",
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"detail": {
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"color": "#468EFD",
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"fontSize": 22
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"outline": {
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"radius": 75,
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"lineStyle": {
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"itemStyle": {
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"normal": {
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"dynamic": {
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"normalData": {
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"compareType": "",
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]
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}`,javascript:`const { createApp, createVNode, render } = Vue;
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const app = createApp({})
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const defaultVal = 45
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const GuageOutlineTwo = {
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template: '<div :id="chartId" :style="getStyle"></div>',
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props: {
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chartId: {
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type: String,
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default: ''
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},
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currentData: {
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type: Number,
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default: 100
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},
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width: {
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type: Number,
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default: 350
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},
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height: {
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type: Number,
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default: 150
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},
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chartProps: {
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type: Object,
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default: () => { }
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},
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thingName: {
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type: String,
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default: ''
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},
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attr: {
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type: String,
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default: ''
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},
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unit: {
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type: String,
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default: ''
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},
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},
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computed: {
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getStyle() {
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return {
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width: \`\${this.width}px\`,
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height: \`\${this.height}px\`
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}
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}
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},
|
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setup(props) {
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const { onMounted, nextTick, toRefs, watch } = Vue;
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const { chartProps, currentData, thingName, attr, width, height } = toRefs(props);
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let myChart = null;
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const initChart = (data, pros) => {
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// 基于准备好的dom，初始化echarts实例
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const dom = document.getElementById(props.chartId);
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if (dom) {
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if (!myChart) {
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myChart = echarts.init(dom);
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}
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// 由于实时推送时候不会重复创建实例，但是需更新画布大小。
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myChart.resize({
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width: width.value,
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height: height.value,
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})
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if (data != null) {
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const { codeConfig, range, guage, outline } = pros;
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const { startAngle, endAngle, min, max } = range;
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const outlineCloned = window._.cloneDeep(outline);
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const guageCloned = window._.cloneDeep(guage);
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outlineCloned.radius = outlineCloned.radius + '%';
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guageCloned.radius = guageCloned.radius + '%';
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// 指定图表的配置项和数据
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var color = outlineCloned.itemStyle.normal.color;
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var option = {
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backgroundColor: '',
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tooltip: {
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formatter: "{a} <br/>{c} {b}"
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},
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series: [
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{
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name: '',
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type: 'gauge',
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startAngle,
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endAngle,
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min,
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max,
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radius: guageCloned.radius,
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title: {
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show: false
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},
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detail: {
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|
show: true,
|
|
fontFamily: 'DIN',
|
|
fontWeight: '500',
|
|
color: guageCloned.detail.color,
|
|
offsetCenter: [0, '70%'],
|
|
formatter: function (value) {
|
|
return value
|
|
},
|
|
fontSize: guageCloned.detail.fontSize
|
|
},
|
|
axisLine: {
|
|
show: false
|
|
},
|
|
axisTick: guageCloned.axisTick,
|
|
splitLine: guageCloned.splitLine,
|
|
axisLabel: {
|
|
//数字离圆的距离
|
|
distance: guageCloned.axisLabel.distance,
|
|
borderRadius: 1,
|
|
color: guageCloned.axisLabel.color,
|
|
fontWeight: 600,
|
|
padding: 1,
|
|
fontFamily: 'Alibaba PuHuiTi',
|
|
fontSize: guageCloned.axisLabel.fontSize
|
|
},
|
|
pointer: {
|
|
...guageCloned.pointer,
|
|
length: guageCloned.pointer.length + '%'
|
|
},
|
|
itemStyle: {
|
|
color: color,
|
|
shadowColor: 'rgba(0,138,255,0.45)',
|
|
shadowBlur: 10,
|
|
shadowOffsetX: 2,
|
|
shadowOffsetY: 2
|
|
},
|
|
data: [{
|
|
value: data,
|
|
name: '两区面积'
|
|
}]
|
|
|
|
},
|
|
{
|
|
name: "已到人数",
|
|
type: 'gauge',
|
|
radius: outlineCloned.radius,
|
|
startAngle,
|
|
endAngle,
|
|
min,
|
|
max,
|
|
title: {
|
|
show: false
|
|
},
|
|
detail: {
|
|
show: false
|
|
},
|
|
axisLine: {
|
|
show: true,
|
|
lineStyle: {
|
|
width: outlineCloned.axisLine.lineStyle.width,
|
|
color: [
|
|
[
|
|
data / 100, color
|
|
],
|
|
[
|
|
1, outlineCloned.axisLine.lineStyle.bgColor
|
|
]
|
|
],
|
|
}
|
|
},
|
|
axisTick: {
|
|
show: false,
|
|
},
|
|
splitLine: {
|
|
show: false,
|
|
},
|
|
axisLabel: {
|
|
show: false
|
|
},
|
|
pointer: {
|
|
show: false,
|
|
},
|
|
itemStyle: {
|
|
normal: {
|
|
color: '#54F200',
|
|
}
|
|
},
|
|
data: [{
|
|
value: data,
|
|
name: '年售电量情况'
|
|
}]
|
|
}
|
|
]
|
|
|
|
}
|
|
|
|
// console.log('option', option);
|
|
const func = new Function('option', 'datas', codeConfig);
|
|
const opt = func(window._.cloneDeep(option), data);
|
|
|
|
|
|
// console.log('opt', opt);
|
|
// 使用刚指定的配置项和数据显示图表。
|
|
myChart.setOption(opt);
|
|
}
|
|
}
|
|
}
|
|
|
|
watch([currentData, chartProps], ([val, pros]) => {
|
|
nextTick(() => {
|
|
initChart(val, pros)
|
|
})
|
|
}, {
|
|
immediate: true,
|
|
deep: true,
|
|
})
|
|
}
|
|
}
|
|
|
|
class CustomGuageOutlineTwoNode extends HtmlResize.view {
|
|
realValue = defaultVal
|
|
oldProperties = {}
|
|
chartRendered = false
|
|
instance = null
|
|
|
|
setHtml(rootEl) {
|
|
if (!rootEl) return;
|
|
const { properties, width, height } = this.props.model;
|
|
const { normalData } = properties.dynamic || {}
|
|
let thingName = 'pressure';
|
|
let attr = 'score';
|
|
if (normalData && normalData.dataPoint) {
|
|
const dataPointStrParsed = JSON.parse(normalData.dataPoint || '{}')
|
|
const { deviceCode, dataPoint } = dataPointStrParsed;
|
|
thingName = deviceCode;
|
|
attr = dataPoint.split(',')[0];
|
|
}
|
|
if (this.instance) {
|
|
// 实时数据不能推送一次就创建一次图表，可以在原有实例基础之上更改数据。
|
|
Object.assign(this.instance.component.props, {
|
|
name: properties.nodeAlias,
|
|
chartId: \`waterfill-\${properties.id}\`,
|
|
currentData: this.realValue,
|
|
width,
|
|
height,
|
|
chartProps: properties,
|
|
thingName,
|
|
attr,
|
|
unit: normalData.unit || 'km/h'
|
|
})
|
|
return
|
|
}
|
|
const el = document.createElement('div');
|
|
rootEl.innerHTML = '';
|
|
const instance = createVNode(GuageOutlineTwo, {
|
|
name: properties.nodeAlias,
|
|
chartId: \`gauge-\${properties.id}\`,
|
|
currentData: this.realValue,
|
|
width,
|
|
height,
|
|
chartProps: properties,
|
|
thingName,
|
|
attr,
|
|
unit: normalData.unit || 'km/h'
|
|
})
|
|
instance.appContext = app._context
|
|
render(instance, el)
|
|
rootEl.appendChild(el);
|
|
this.instance = instance;
|
|
}
|
|
|
|
sameProps(properties) {
|
|
const isSame = window._.isEqual(this.oldProperties, properties);
|
|
if (isSame) return true;
|
|
this.oldProperties = properties;
|
|
return false
|
|
}
|
|
|
|
// 生命周期 支持重写内容, 但格式需一致
|
|
shouldUpdate() {
|
|
const { properties } = this.props.model;
|
|
const { normalData } = properties.dynamic || {};
|
|
|
|
if (normalData && !normalData.dataPoint && !normalData.defaultValue) {
|
|
this.realValue = defaultVal;
|
|
return true
|
|
}
|
|
|
|
if (normalData) {
|
|
const { defaultValue } = normalData || {};
|
|
if (defaultValue) {
|
|
const realValue = window.resolveScadaNewValue(defaultValue)
|
|
if (this.realValue !== Number(realValue)) {
|
|
this.realValue = Number(realValue);
|
|
return true;
|
|
}
|
|
}
|
|
}
|
|
|
|
const propertiesBack = window._.cloneDeep(properties);
|
|
if (propertiesBack.dynamic.normalData) {
|
|
const isSameProps = this.sameProps(propertiesBack);
|
|
if (isSameProps && this.chartRendered) {
|
|
return false
|
|
} else {
|
|
if (!this.chartRendered) {
|
|
this.chartRendered = true
|
|
return true
|
|
}
|
|
if (!isSameProps) {
|
|
return true;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
updateHtml() {
|
|
this.setHtml(this.rootEl);
|
|
}
|
|
|
|
componentDidMount() {
|
|
// 防止拖动时候频繁渲染图表
|
|
this.updateHtmlDebounced = window._.debounce(this.updateHtml.bind(this), 500);
|
|
if (this.shouldUpdate()) {
|
|
this.setHtml(this.rootEl);
|
|
}
|
|
}
|
|
|
|
componentDidUpdate() {
|
|
if (this.shouldUpdate()) {
|
|
this.updateHtmlDebounced();
|
|
}
|
|
}
|
|
}
|
|
|
|
class CustomGuageOutlineTwoModel extends HtmlResize.model {
|
|
initNodeData(data) {
|
|
// 自定义组件，需最开始重���一下text 。
|
|
data.text = {
|
|
value: "",
|
|
x: data.x,
|
|
y: data.y,
|
|
};
|
|
|
|
super.initNodeData(data);
|
|
const { properties } = this;
|
|
this.width = properties.width || 80;
|
|
this.height = properties.height || 35;
|
|
this.text.editable = false; // 不允许文本被编辑
|
|
}
|
|
|
|
setAttributes() {
|
|
// 自定义组件需重置 text
|
|
const { x, y, properties } = this;
|
|
const { textHorizontalMove = 0, textVerticalMove = 0 } = properties;
|
|
this.text = {
|
|
...this.text,
|
|
x: x + textHorizontalMove,
|
|
y: y + textVerticalMove,
|
|
value: "",
|
|
}
|
|
}
|
|
}
|
|
|
|
lf.register({
|
|
type: 'custom-guage-outline-two',
|
|
view: CustomGuageOutlineTwoNode,
|
|
model: CustomGuageOutlineTwoModel,
|
|
})`,css:"",fakeData:""},o={id:A,name:e,aliasName:E,image:Q,imageType:B,groupName:g,groupType:I,isRemote:!1,isDefault:!0,sectionType:t,config:C,files:n};export{E as aliasName,C as config,o as default,n as files,g as groupName,I as groupType,A as id,Q as image,B as imageType,i as isDefault,a as isRemote,e as name,t as sectionType};
|