以可扩展方式扩展迹线时,将在过去绘制点。如图所示,任何
该图表现在由两部分组成,右边是数据库中的数据,左边是“实时”绘制的数据。即使时间戳在数据库中之后,实时绘制的数据仍在数据库中的左侧。
控制台日志上的时间戳是正确的,但是在X轴上错误地将它们放置在错误的时间。应当在图表的末尾绘制。
updateData (sensorData) {
if (!this.initiated || !this.isLiveData) {
return
}
let y = []
let i = 0
let x = []
let traces = []
for (let sensor in this.configuration) {
for (let signal in this.configuration[sensor]) {
let xDate = new Date(sensorData[sensor].timestamp)
if (sensorData.hasOwnProperty(sensor) && sensorData[sensor].hasOwnProperty(signal)) {
y.push([sensorData[sensor][signal]])
x.push([xDate.getTime()])
}
// x time seems to be good here
console.log('Update data', xDate.getTime(), xDate)
traces.push(i)
i++
}
}
console.log('Plotting', y, x, this.widget.getXRange())
if (y.length > 0) {
this.$plotly.extendTraces('plotly-chart', {
y: y,
x: x
}, traces)
}
},
来自数据库的数据使用以下代码添加。
updateFromDb (sensorData) {
let data = []
let x = []
let yData = {}
for (let sensor in this.configuration) {
for (let i = 0, len = sensorData[sensor].length; i < len; i++) {
let timestamp = sensorData[sensor][i].timestamp
x.push(timestamp)
for (let source in this.configuration[sensor]) {
let name = sensor + ' ' + getSignalName(source, this.angleLabel)
if (!yData.hasOwnProperty(name)) {
yData[name] = {
data: [],
color: this.configuration[sensor][source].color
}
}
if (!sensorData[sensor][i].hasOwnProperty(source)) {
yData[name].data.push(0)
} else {
yData[name].data.push(sensorData[sensor][i][source])
}
if (this.configuration[sensor][source].hasOwnProperty('yaxis')) {
yData[name]['yaxis'] = 'y' + this.configuration[sensor][source].yaxis
}
}
}
}
for (let name in yData) {
let sensorData = {
name: name,
x: x,
y: yData[name].data,
type: 'line',
mode: 'lines',
line: {
width: 2,
color: yData[name].color
},
marker: {
width: 2,
color: yData[name].color
}
}
if (yData[name].hasOwnProperty('yaxis')) {
sensorData['yaxis'] = yData[name].yaxis
}
data.push(sensorData)
}
this.$plotly.react(
document.getElementById('plotly-chart'),
data,
this.getLayout(false),
this.chartProperties
)
}
还有一个功能,每隔50毫秒在xaxis上滚动一次窗口,使它看起来更平滑。
windowScroller () {
if (!this.initiated || !this.isLiveData) {
return
}
let timeDifference = 0
if (this.timeDifference !== null) {
timeDifference = this.timeDifference
}
/**
* Make sure the line never gets behind the scroller.
*/
if (Object.keys(this.latestPoint).length > 0) {
let latestTime = this.latestPoint[Object.keys(this.latestPoint)[0]].timestamp
let scrollDiff = new Date().getTime() - latestTime
if (scrollDiff !== this.scrollDelay && this.lastDelayTime !== latestTime && scrollDiff < 60000) {
this.lastDelayTime = latestTime
this.scrollDelay = scrollDiff
// console.log('update scroll', scrollDiff, 'from', latestTime)
}
}
let currentTime = new Date().getTime() - timeDifference - this.scrollDelay
let firstTime = new Date().getTime() - this.getMilisecondsFromMinutes(this.widget.getXRange()) - timeDifference - this.scrollDelay
let relayoutPromise = new Promise((resolve, reject) => {
this.$plotly.relayout('plotly-chart', {
xaxis: {
color: '#fff',
type: 'date',
range: [firstTime, currentTime]
}
})
})
relayoutPromise.then(() => {
console.log('relayout')
})
let data = document.getElementById('plotly-chart').data
// We calculate the max points using 4 hertz
let maxPoints = (this.getSecondsFromMinutes(this.widget.getXRange()) + 10) * this.widget.getRefreshRate()
if (this.minMax) {
maxPoints = maxPoints * 2
}
for (let i in data) {
if (data[i].y.length >= maxPoints) {
data[i].y.shift()
data[i].x.shift()
}
}
}