jroplots.js
655 lines
| 20.8 KiB
| application/javascript
|
JavascriptLexer
r335 | ||||
var icon = { | ||||
'width': 20, | ||||
'path': 'M18.303,4.742l-1.454-1.455c-0.171-0.171-0.475-0.171-0.646,0l-3.061,3.064H2.019c-0.251,0-0.457,0.205-0.457,0.456v9.578c0,0.251,0.206,0.456,0.457,0.456h13.683c0.252,0,0.457-0.205,0.457-0.456V7.533l2.144-2.146C18.481,5.208,18.483,4.917,18.303,4.742 M15.258,15.929H2.476V7.263h9.754L9.695,9.792c-0.057,0.057-0.101,0.13-0.119,0.212L9.18,11.36h-3.98c-0.251,0-0.457,0.205-0.457,0.456c0,0.253,0.205,0.456,0.457,0.456h4.336c0.023,0,0.899,0.02,1.498-0.127c0.312-0.077,0.55-0.137,0.55-0.137c0.08-0.018,0.155-0.059,0.212-0.118l3.463-3.443V15.929z M11.241,11.156l-1.078,0.267l0.267-1.076l6.097-6.091l0.808,0.808L11.241,11.156z', | ||||
'ascent': 20, | ||||
'descent': 2, | ||||
}; | ||||
function list2dict(values) { | ||||
var o = {}; | ||||
$.each(values, function () { | ||||
o[this.name] = this.value; | ||||
}); | ||||
return o; | ||||
}; | ||||
/* In this class is defined all the function to RTI plot */ | ||||
class PcolorBuffer { | ||||
constructor({ div, data }) { | ||||
this.div = document.getElementById(div); | ||||
this.n = 0; | ||||
this.divs = []; | ||||
this.wait = false; | ||||
this.lastRan = Date.now(); | ||||
this.lastFunc = null; | ||||
this.zbuffer = []; | ||||
this.xbuffer = []; | ||||
this.empty = Array(data.metadata.yrange.length).fill(null); | ||||
this.timespan = 12; | ||||
this.metadata = data.metadata; | ||||
this.setup(data); | ||||
} | ||||
/* This function is used to plot all the data that have the DB and just is used when is loaded or reloaded*/ | ||||
setup(data) { | ||||
this.last = data.time.slice(-1); | ||||
var diffArr = []; | ||||
for(var i=0; i<data.time.length-1; i++){ | ||||
diffArr.push(data.time[i+1]-data.time[i]); | ||||
} | ||||
this.interval = Math.round(Math.min.apply(null, diffArr)*100 / 100); | ||||
if (data.time.length == 1) { | ||||
var values = { 'time': data.time, 'data': data['data'].map(function (x) { return [x] }) }; | ||||
} else { | ||||
var values = this.fill_gaps(data.time, data['data'], this.interval, data['data'].length); | ||||
} | ||||
var t = values.time.map(function (x) { | ||||
var a = new Date(x * 1000); | ||||
// This condition is used to change from UTC to LT | ||||
if (data.metadata.localtime == true){ | ||||
a.setTime( a.getTime() + a.getTimezoneOffset()*60*1000 ); | ||||
} | ||||
return a; | ||||
}); | ||||
var label; | ||||
if (data.metadata.localtime == true){ | ||||
label = "[LT]"; | ||||
} | ||||
else{ | ||||
label = "[UTC]"; | ||||
} | ||||
for (var i = 0; i < data['data'].length; i++) { | ||||
var layout = { | ||||
height: 350, | ||||
xaxis: { | ||||
title: 'Time ' + label, | ||||
showgrid: false, | ||||
linewidth: 2, | ||||
size: 12, | ||||
mirror: true, | ||||
}, | ||||
yaxis: { | ||||
title: data.metadata.ylabel || 'km', | ||||
showgrid: false, | ||||
linewidth: 2, | ||||
size: 12, | ||||
mirror: true, | ||||
}, | ||||
titlefont: { | ||||
size: 16, | ||||
}, | ||||
margin: { | ||||
t: 30, | ||||
} | ||||
}; | ||||
var iDiv = document.createElement('div'); | ||||
iDiv.id = 'plot-' + i; | ||||
//iDiv.className += iDiv.className ? ' col-lg-6 col-md-6 col-sm-12' : 'col-lg-6 col-md-12 col-sm-12'; | ||||
this.zbuffer.push([]); | ||||
this.n = this.n + 1; | ||||
this.div.appendChild(iDiv); | ||||
this.divs.push(iDiv.id); | ||||
var trace = { | ||||
z: values.data[i], | ||||
x: t, | ||||
y: data.metadata.yrange, | ||||
colorscale: this.metadata.colormap || 'Jet', | ||||
transpose: true, | ||||
type: 'heatmap' | ||||
}; | ||||
if (this.metadata.zmin) { trace.zmin = this.metadata.zmin } | ||||
if (this.metadata.zmax) { trace.zmax = this.metadata.zmax } | ||||
layout.title = 'Ch ' + i + ' - ' + t.slice(-1).toLocaleString(); | ||||
var conf = { | ||||
modeBarButtonsToRemove: ['sendDataToCloud', 'autoScale2d', 'hoverClosestCartesian', 'hoverCompareCartesian', 'lasso2d', 'select2d', 'zoomIn2d', 'zoomOut2d', 'toggleSpikelines'], | ||||
modeBarButtonsToAdd: [{ | ||||
name: 'Edit plot', | ||||
icon: icon, | ||||
click: function (gd) { | ||||
var div = gd.id; | ||||
$('input[id=id_plotdiv]').val(div); | ||||
$('#setup').modal('show'); | ||||
} | ||||
}], | ||||
displaylogo: false, | ||||
showTips: true | ||||
}; | ||||
Plotly.newPlot('plot-' + i, [trace], layout, conf); | ||||
} | ||||
} | ||||
getSize() { | ||||
var div = document.getElementById(this.divs[0]); | ||||
var t = this.xbuffer.slice(-1)[0]; | ||||
var n = 0; | ||||
var timespan = this.timespan * 1000 * 60 * 60; | ||||
while ((t - div.data[0].x[n]) > timespan) { | ||||
n += 1; | ||||
} | ||||
if(n>720){ | ||||
return 720; | ||||
}else{ | ||||
return n; | ||||
} | ||||
} | ||||
fill_gaps(xBuffer, zBuffer, interval, N) { | ||||
var x = [xBuffer[0]]; | ||||
var z = []; | ||||
var last; | ||||
for (var j = 0; j < N; j++) { | ||||
z.push([zBuffer[j][0]]); | ||||
} | ||||
for (var i = 1; i < xBuffer.length; i++) { | ||||
var cnt = 0; | ||||
last = x[x.length-1]; | ||||
while (Math.abs(parseFloat(xBuffer[i]) - last ) > 1.5 * parseFloat(interval)) { | ||||
cnt += 1; | ||||
last = last + interval; | ||||
x.push(last); | ||||
for (var j = 0; j < N; j++) { | ||||
z[j].push(this.empty); | ||||
} | ||||
// Avoid infinite loop | ||||
if (cnt == 100) { break; } | ||||
} | ||||
x.push(xBuffer[i]); | ||||
for (var j = 0; j < N; j++) { | ||||
z[j].push(zBuffer[j][i]); | ||||
} | ||||
} | ||||
return { 'time': x, 'data': z }; | ||||
} | ||||
plot() { | ||||
// add new data to plots and empty buffers | ||||
var N = this.getSize(); | ||||
console.log('Plotting...'); | ||||
for (var i = 0; i < this.n; i++) { | ||||
var div = document.getElementById(this.divs[i]); | ||||
if (N > 0) { | ||||
div.data[0].z = div.data[0].z.slice(N, ) | ||||
div.data[0].x = div.data[0].x.slice(N, ) | ||||
} | ||||
Plotly.extendTraces(div, { | ||||
z: [this.zbuffer[i]], | ||||
x: [this.xbuffer] | ||||
}, [0]); | ||||
this.zbuffer[i] = []; | ||||
} | ||||
this.xbuffer = []; | ||||
} | ||||
//This function just add the last data and is used if previously was used setup() | ||||
update(obj) { | ||||
// fill data gaps | ||||
var cnt = 0; | ||||
while (Math.abs(parseFloat(obj.time[0]) - this.last) > 1.5 * parseFloat(this.interval)) { | ||||
cnt += 1; | ||||
this.last += this.interval; | ||||
var newt = new Date((this.last) * 1000); | ||||
// This condition is used to change from UTC to LT | ||||
if (obj.metadata.localtime == true){ | ||||
newt.setTime( newt.getTime() + newt.getTimezoneOffset()*60*1000 ); | ||||
} | ||||
this.xbuffer.push(newt); | ||||
for (var i = 0; i < obj['data'].length; i++) { | ||||
this.zbuffer[i].push(this.empty); | ||||
} | ||||
// Avoid infinite loop | ||||
if (cnt == 100) { break; } | ||||
} | ||||
// update buffers | ||||
this.last = parseFloat(obj.time[0]); | ||||
var t = new Date(obj.time[0] * 1000); | ||||
// This condition is used to change from UTC to LT | ||||
if (obj.metadata.localtime == true){ | ||||
t.setTime( t.getTime() + t.getTimezoneOffset()*60*1000 ); | ||||
} | ||||
this.xbuffer.push(t); | ||||
for (var i = 0; i < obj['data'].length; i++) { | ||||
this.zbuffer[i].push(obj['data'][i]); | ||||
var div = document.getElementById(this.divs[i]); | ||||
Plotly.relayout(div, { | ||||
title: 'Ch ' + i + ' - ' + t.toLocaleString(), | ||||
}); | ||||
} | ||||
if (!this.wait) { | ||||
this.plot(); | ||||
this.wait = true; | ||||
} else { | ||||
clearTimeout(this.lastFunc) | ||||
this.lastFunc = setTimeout(function (scope) { | ||||
if ((Date.now() - scope.lastRan) >= 30000) { | ||||
scope.plot() | ||||
scope.lastRan = Date.now() | ||||
} | ||||
}, 30000 - (Date.now() - this.lastRan), this) | ||||
} | ||||
} | ||||
// With this function You can change parameters in your plot | ||||
restyle(values) { | ||||
var values = list2dict(values); | ||||
var div = document.getElementById(values.plotdiv); | ||||
Plotly.relayout(div, { | ||||
yaxis: { | ||||
range: [values.ymin, values.ymax], | ||||
title: this.metadata.ylabel || 'km', | ||||
linewidth: 2, | ||||
size: 12, | ||||
mirror: true, | ||||
} | ||||
}); | ||||
Plotly.restyle(div, { | ||||
zmin: values.zmin, | ||||
zmax: values.zmax, | ||||
colorscale: values.colormap | ||||
}); | ||||
} | ||||
} | ||||
/* In this class is defined all the function to SPC plot */ | ||||
class Pcolor { | ||||
constructor({ div, data }) { | ||||
this.div = document.getElementById(div); | ||||
this.n = 0; | ||||
this.divs = []; | ||||
this.metadata = data.metadata; | ||||
this.setup(data); | ||||
} | ||||
/* This function is used to plot all the data that have the DB and just is used when is loaded or reloaded*/ | ||||
setup(data) { | ||||
for (var i = 0; i < data['data'].length; i++) { | ||||
var layout = { | ||||
margin: { | ||||
t:30, | ||||
}, | ||||
height: 320, | ||||
xaxis: { | ||||
title: data.metadata.xlabel || 'Velocity', | ||||
showgrid: false, | ||||
zeroline: false, | ||||
linewidth: 2, | ||||
mirror: true, | ||||
size: 12, | ||||
}, | ||||
yaxis: { | ||||
title: data.metadata.ylabel || 'km', | ||||
showgrid: false, | ||||
linewidth: 2, | ||||
mirror: 'all', | ||||
size: 12, | ||||
}, | ||||
titlefont: { | ||||
size: 14 | ||||
}, | ||||
}; | ||||
var iDiv = document.createElement('div'); | ||||
iDiv.id = 'plot-' + i; | ||||
iDiv.className += iDiv.className ? ' col-md-5' : 'col-md-5'; | ||||
this.n = this.n + 1; | ||||
this.div.appendChild(iDiv); | ||||
this.divs.push(iDiv.id); | ||||
var iDiv = document.createElement('div'); | ||||
iDiv.className = 'col-md-1'; | ||||
this.div.appendChild(iDiv); | ||||
var trace1 = { | ||||
z: data['data'][i], | ||||
y: data.metadata.yrange, | ||||
x: data.metadata.xrange, | ||||
colorscale: this.metadata.colormap || 'Jet', | ||||
transpose: true, | ||||
type: 'heatmap' | ||||
}; | ||||
if (this.metadata.zmin) { | ||||
trace1.zmin = this.metadata.zmin | ||||
} | ||||
if (this.metadata.zmax) { | ||||
trace1.zmax = this.metadata.zmax; | ||||
} | ||||
var t = new Date(data.time * 1000); | ||||
if (data.metadata.localtime == true){ | ||||
t.setTime( t.getTime() + t.getTimezoneOffset()*60*1000 ); | ||||
} | ||||
if ('titles' in data.metadata){ | ||||
layout.title = data.metadata.titles[i] + ' ' + t.toLocaleString(); | ||||
}else{ | ||||
layout.title = 'Ch ' + i + ': ' + t.toLocaleString(); | ||||
} | ||||
var conf = { | ||||
modeBarButtonsToRemove: ['sendDataToCloud', 'autoScale2d', 'hoverClosestCartesian', 'hoverCompareCartesian', 'lasso2d', 'select2d', 'zoomIn2d', 'zoomOut2d', 'toggleSpikelines'], | ||||
modeBarButtonsToAdd: [{ | ||||
name: 'Edit plot', | ||||
icon: icon, | ||||
click: function (gd) { | ||||
var div = gd.id; | ||||
$('input[id=id_plotdiv]').val(div); | ||||
$('#setup').modal('show'); | ||||
} | ||||
}], | ||||
displaylogo: false, | ||||
showTips: true | ||||
}; | ||||
var traces = [trace1] | ||||
Plotly.newPlot('plot-' + i, traces, layout, conf); | ||||
} | ||||
} | ||||
plot(obj) { | ||||
this.data = obj; | ||||
// add new data to plots and empty buffers | ||||
console.log('Plotting...'); | ||||
var t = new Date(obj.time[0] * 1000); | ||||
// This condition is used to change from UTC to LT | ||||
if (obj.metadata.localtime == true){ | ||||
t.setTime( t.getTime() + t.getTimezoneOffset()*60*1000 ); | ||||
} | ||||
for (var i = 0; i < this.n; i++) { | ||||
var div = document.getElementById(this.divs[i]); | ||||
if ('titles' in obj.metadata){ | ||||
var title = obj.metadata.titles[i] + ' ' + t.toLocaleString(); | ||||
}else{ | ||||
var title = 'Ch ' + i + ': ' + t.toLocaleString(); | ||||
} | ||||
Plotly.relayout(div, { | ||||
title: title, | ||||
}); | ||||
Plotly.restyle(div, { | ||||
z: [obj['data'][i]], | ||||
x: [obj.xrange] | ||||
}, [0]); | ||||
} | ||||
} | ||||
update(data) { | ||||
this.plot(data); | ||||
} | ||||
restyle(values) { | ||||
var values = list2dict(values); | ||||
var div = document.getElementById(values.plotdiv); | ||||
Plotly.relayout(div, { | ||||
yaxis: { | ||||
title: this.metadata.ylabel || 'km', | ||||
linewidth: 2, | ||||
range: [values.ymin, values.ymax] | ||||
}, | ||||
xaxis: { | ||||
title: this.metadata.xlabel || 'Velocity', | ||||
linewidth: 2, | ||||
mirror: true, | ||||
range: [values.xmin, values.xmax] | ||||
} | ||||
}); | ||||
Plotly.restyle(div, { | ||||
zmin: values.zmin, | ||||
zmax: values.zmax, | ||||
colorscale: values.colormap | ||||
}); | ||||
} | ||||
} | ||||
class ScatterBuffer { | ||||
constructor({ div, data }) { | ||||
this.div = document.getElementById(div); | ||||
this.n = 0; | ||||
this.wait = false; | ||||
this.lastRan = Date.now(); | ||||
this.lastFunc = null; | ||||
this.ybuffer = []; | ||||
this.xbuffer = []; | ||||
this.timespan = 12; | ||||
this.metadata = data.metadata; | ||||
this.setup(data); | ||||
} | ||||
/* This function is used to plot all the data that have the DB and just is used when is loaded or reloaded*/ | ||||
setup(data) { | ||||
var traces = []; | ||||
this.last = data.time.slice(-1); | ||||
var diffArr = []; | ||||
for(var i=0; i<data.time.length-1; i++){ | ||||
diffArr.push(data.time[i+1]-data.time[i]); | ||||
} | ||||
this.interval = Math.round(Math.min.apply(null, diffArr)*100 / 100); | ||||
if (data.time.length == 1) { | ||||
var values = { 'time': data.time, 'data': data['data'] }; | ||||
} else { | ||||
var values = this.fill_gaps(data.time, data['data'], this.interval, data['data'].length); | ||||
} | ||||
var t = values.time.map(function (x) { | ||||
var a = new Date(x * 1000); | ||||
// This condition is used to change from UTC to LT | ||||
if (data.metadata.localtime == true){ | ||||
a.setTime( a.getTime() + a.getTimezoneOffset()*60*1000 ); | ||||
} | ||||
return a; | ||||
}); | ||||
for (var i = 0; i < data['data'].length; i++) { | ||||
this.n = this.n + 1; | ||||
this.ybuffer.push([]); | ||||
var trace = { | ||||
x: t, | ||||
y: values.data[i], | ||||
mode: 'lines', | ||||
type: 'scatter', | ||||
name: 'Channel ' + i, | ||||
connectgaps: false, | ||||
}; | ||||
traces.push(trace); | ||||
} | ||||
var label; | ||||
if (data.metadata.localtime == true){ | ||||
label = "[LT]"; | ||||
} | ||||
else{ | ||||
label = "[UTC]"; | ||||
} | ||||
var layout = { | ||||
height: 300, | ||||
title: t.slice(-1).toLocaleString(), | ||||
font: { | ||||
size: 12, | ||||
}, | ||||
xaxis: { | ||||
title: 'Time ' + label, | ||||
size: 12, | ||||
linewidth: 2, | ||||
mirror: true, | ||||
}, | ||||
yaxis: { | ||||
title: data.metadata.ylabel || 'dB', | ||||
linewidth: 2, | ||||
mirror: true, | ||||
}, | ||||
titlefont: { | ||||
size: 16, | ||||
}, | ||||
margin: { | ||||
t: 30, | ||||
} | ||||
}; | ||||
if (data.metadata.ymin) { layout.yaxis.range = [data.metadata.ymin, data.metadata.ymax] } | ||||
var conf = { | ||||
modeBarButtonsToRemove: ['sendDataToCloud', 'autoScale2d', 'hoverClosestCartesian', 'hoverCompareCartesian', 'lasso2d', 'select2d', 'zoomIn2d', 'zoomOut2d', 'toggleSpikelines'], | ||||
modeBarButtonsToAdd: [{ | ||||
name: 'Edit plot', | ||||
icon: icon, | ||||
click: function (gd) { | ||||
$('#setup').modal('show'); | ||||
} | ||||
}], | ||||
displaylogo: false, | ||||
showTips: true | ||||
}; | ||||
Plotly.newPlot('plot', traces, layout, conf); | ||||
} | ||||
getSize() { | ||||
var t = this.xbuffer.slice(-1)[0]; | ||||
var n = 0; | ||||
var timespan = this.timespan * 1000 * 60 * 60; | ||||
while ((t - this.div.data[0].x[n]) > timespan) { | ||||
n += 1; | ||||
} | ||||
if(n>720){ | ||||
return 720; | ||||
}else{ | ||||
return n; | ||||
} | ||||
} | ||||
fill_gaps(xBuffer, yBuffer, interval, N) { | ||||
var x = [xBuffer[0]]; | ||||
var y = []; | ||||
for (var j = 0; j < N; j++) { | ||||
y.push([yBuffer[j][0]]); | ||||
} | ||||
var last; | ||||
for (var i = 1; i < xBuffer.length; i++) { | ||||
var cnt = 0; | ||||
last = x.slice(-1)[0]; | ||||
while (Math.abs(parseFloat(xBuffer[i]) - last) > 1.5 * parseFloat(interval)) { | ||||
cnt += 1; | ||||
last = last + interval; | ||||
x.push(last); | ||||
for (var j = 0; j < N; j++) { | ||||
y[j].push(null); | ||||
} | ||||
// Avoid infinite loop | ||||
if (cnt == 50) { break; } | ||||
} | ||||
x.push(xBuffer[i]); | ||||
for (var j = 0; j < N; j++) { | ||||
y[j].push(yBuffer[j][i]); | ||||
} | ||||
} | ||||
return { 'time': x, 'data': y }; | ||||
} | ||||
plot() { | ||||
// add new data to plots and empty buffers | ||||
var xvalues = []; | ||||
var yvalues = []; | ||||
var traces = []; | ||||
var N = this.getSize(); | ||||
console.log('Plotting...'); | ||||
for (var i = 0; i < this.n; i++) { | ||||
if (N > 0) { | ||||
this.div.data[i].y = this.div.data[i].y.slice(N, ) | ||||
this.div.data[i].x = this.div.data[i].x.slice(N, ) | ||||
} | ||||
yvalues.push(this.ybuffer[i]); | ||||
xvalues.push(this.xbuffer); | ||||
traces.push(i); | ||||
this.ybuffer[i] = []; | ||||
} | ||||
Plotly.extendTraces(this.div, { | ||||
y: yvalues, | ||||
x: xvalues | ||||
}, traces); | ||||
this.xbuffer = []; | ||||
} | ||||
//This function just add the last data and is used if previously was used setup() | ||||
update(obj) { | ||||
// fill data gaps | ||||
var cnt = 0; | ||||
while (Math.abs(parseFloat(obj.time[0]) - this.last ) > 1.5 * parseFloat(this.interval)) { | ||||
cnt += 1; | ||||
this.last += this.interval; | ||||
var newt = new Date((this.last) * 1000); | ||||
// This condition is used to change from UTC to LT | ||||
if (obj.metadata.localtime == true){ | ||||
newt.setTime( newt.getTime() + newt.getTimezoneOffset()*60*1000 ); | ||||
} | ||||
this.xbuffer.push(newt); | ||||
for (var i = 0; i < this.n; i++) { | ||||
this.ybuffer[i].push(null); | ||||
} | ||||
// Avoid infinite loop | ||||
if (cnt == 100) { break; } | ||||
} | ||||
// update buffers | ||||
this.last = parseFloat(obj.time[0]); | ||||
var t = new Date(obj.time[0] * 1000); | ||||
// This condition is used to change from UTC to LT | ||||
if (obj.metadata.localtime == true){ | ||||
t.setTime( t.getTime() + t.getTimezoneOffset()*60*1000 ); | ||||
} | ||||
this.xbuffer.push(t); | ||||
for (var i = 0; i < this.n; i++) { | ||||
this.ybuffer[i].push(obj['data'][i][0]); | ||||
} | ||||
Plotly.relayout(this.div, { | ||||
title: t.toLocaleString(), | ||||
}); | ||||
if (!this.wait) { | ||||
this.plot(); | ||||
this.wait = true; | ||||
} else { | ||||
clearTimeout(this.lastFunc) | ||||
this.lastFunc = setTimeout(function (scope) { | ||||
if ((Date.now() - scope.lastRan) >= 30000) { | ||||
scope.plot() | ||||
scope.lastRan = Date.now() | ||||
} | ||||
}, 30000 - (Date.now() - this.lastRan), this) | ||||
} | ||||
} | ||||
restyle(values) { | ||||
var values = list2dict(values); | ||||
Plotly.relayout(this.div, { | ||||
yaxis: { | ||||
range: [values.ymin, values.ymax], | ||||
title: this.metadata.ylabel || 'dB' | ||||
} | ||||
}); | ||||
} | ||||
} | ||||