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Merge pull request BadApple9#16 from HuJK/master
要不要加個圖表
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<!doctype html> | ||
<html> | ||
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<head> | ||
<title>ISP Speed Chart</title> | ||
<script src="chartjs/Chart.min.js"></script> | ||
<script src="chartjs/utils.js"></script> | ||
<style> | ||
canvas { | ||
-moz-user-select: none; | ||
-webkit-user-select: none; | ||
-ms-user-select: none; | ||
flex-grow: 1; | ||
min-height: 0; | ||
width: 100%; | ||
height:100%; | ||
} | ||
div { | ||
width:100%; | ||
height:100%; | ||
} | ||
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</style> | ||
</head> | ||
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<body> | ||
<div> | ||
<canvas id="canvas"></canvas> | ||
</div> | ||
<script> | ||
var color = Chart.helpers.color; | ||
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async function mainfunc() { | ||
var color = Chart.helpers.color; | ||
// console.log(color) | ||
var datareq = await fetch('backend/results-api.php'); | ||
// console.log(datareq) | ||
var dataraw = await datareq.text(); | ||
// console.log(dataraw) | ||
try { | ||
dataraw = JSON.parse(dataraw); | ||
} catch { | ||
alert("Can't get data"); | ||
return 0; | ||
} | ||
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data_sorted = {}; | ||
for (const data of dataraw["data"]) { | ||
let data_isp = data["isp"].split(" ").length > 1 ? data["isp"].split(" ")[0] + " " + data["isp"].split(" ")[1] : data["isp"]; | ||
if (data_isp in data_sorted) { | ||
data_sorted[data_isp] = data_sorted[data_isp].concat([data]) | ||
} else { | ||
data_sorted[data_isp] = [data] | ||
} | ||
} | ||
let datasets = [] | ||
for (const isp of Object.keys(data_sorted)) { | ||
let ispdata_chart = { | ||
label: isp, | ||
data: [] | ||
} | ||
for (const ispdata of data_sorted[isp]) { | ||
let [t_h, t_m, t_s] = ispdata["created"].split(" ")[1].split(":"); | ||
ispdata_chart["data"] = ispdata_chart["data"].concat([{ | ||
x: t_h * 1.0 + t_m / 60 + t_s / 3600, | ||
y: ispdata["dspeed"], | ||
label: ispdata | ||
}]); | ||
} | ||
datasets = datasets.concat([ispdata_chart]) | ||
} | ||
datasets = datasets.sort((a, b) => a["data"].length < b["data"].length ? 1 : -1); | ||
for (const [i, data] of datasets.entries()) { | ||
if (i === 0) { | ||
datasets[i]["borderColor"] = window.chartColors["red"]; | ||
datasets[i]["backgroundColor"] = color(datasets[i]["borderColor"]).alpha(0.9).rgbString() | ||
} else if (i === 1) { | ||
datasets[i]["borderColor"] = "rgb(12, 176, 42)"; | ||
datasets[i]["backgroundColor"] = color(datasets[i]["borderColor"]).alpha(0.9).rgbString() | ||
} else if (i === 2) { | ||
datasets[i]["borderColor"] = "rgb(2, 104, 219)"; | ||
datasets[i]["backgroundColor"] = color(datasets[i]["borderColor"]).alpha(0.9).rgbString() | ||
} | ||
else{ | ||
datasets[i]["borderColor"] = window.chartColors["gray"];; | ||
datasets[i]["backgroundColor"] = color(window.chartColors["gray"]).alpha(0.1).rgbString() | ||
} | ||
} | ||
console.log(datasets); | ||
scatterChartData = { | ||
datasets: datasets | ||
} | ||
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var ctx = document.getElementById('canvas').getContext('2d'); | ||
window.myScatter = Chart.Scatter(ctx, { | ||
data: scatterChartData, | ||
options: { | ||
title: { | ||
display: true, | ||
text: 'ISP Speed Chart' | ||
}, | ||
tooltips: { | ||
mode: 'nearest', | ||
callbacks: { | ||
title: function(TooltipItem, data){ | ||
// console.log(TooltipItem); | ||
// console.log(data); | ||
// console.log(data["datasets"][TooltipItem[0]["datasetIndex"]]["label"]) | ||
return data["datasets"][TooltipItem[0]["datasetIndex"]]["label"] | ||
}, | ||
label:function(TooltipItem, data){ | ||
return data["datasets"][TooltipItem["datasetIndex"]]["data"][TooltipItem["index"]]["label"]["isp"]; | ||
}, | ||
footer: function(TooltipItem, data){ | ||
// console.log(TooltipItem); | ||
// console.log(data); | ||
displaydata = data["datasets"][TooltipItem[0]["datasetIndex"]]["data"][TooltipItem[0]["index"]]["label"]; | ||
showdict = { | ||
location: displaydata["addr"], | ||
Download: displaydata["dspeed"], | ||
Upload: displaydata["uspeed"], | ||
Ping: displaydata["ping"], | ||
Jitter: displaydata["jitter"], | ||
IP: displaydata["ip"], | ||
Time: displaydata["created"], | ||
// ISP: displaydata["isp"], | ||
}; | ||
let showtext = "" | ||
for (const k of Object.keys(showdict)){ | ||
showtext += k + ": " + showdict[k] + "\n"; | ||
} | ||
return showtext | ||
}, | ||
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}, | ||
footerFontStyle: 'normal' | ||
}, | ||
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||
scales: { | ||
yAxes: [{ | ||
type: 'logarithmic', | ||
position: 'bottom', | ||
ticks: { | ||
userCallback: function(tick) { | ||
var remain = tick / (Math.pow(10, Math.floor(Chart.helpers.log10(tick)))); | ||
if (remain === 1 || remain === 2 || remain === 5) { | ||
return tick.toString() + 'Mbps'; | ||
} | ||
return ''; | ||
}, | ||
}, | ||
scaleLabel: { | ||
labelString: 'Speed', | ||
display: true, | ||
} | ||
}], | ||
xAxes: [{ | ||
type: 'linear', | ||
ticks: { | ||
userCallback: function(tick) { | ||
return tick.toString() + ':00'; | ||
}, | ||
beginAtZero: true, | ||
stepSize: 3, | ||
max: 24 | ||
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}, | ||
scaleLabel: { | ||
labelString: 'Time', | ||
display: true | ||
} | ||
}] | ||
}, | ||
responsive: true, | ||
maintainAspectRatio: false | ||
} | ||
}); | ||
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} | ||
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window.onload = function() { | ||
mainfunc(); | ||
}; | ||
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</script> | ||
</body> | ||
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</html> | ||
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,188 @@ | ||
<!doctype html> | ||
<html> | ||
|
||
<head> | ||
<title>ISP Speed Chart</title> | ||
<script src="chartjs/Chart.min.js"></script> | ||
<script src="chartjs/utils.js"></script> | ||
<style> | ||
canvas { | ||
-moz-user-select: none; | ||
-webkit-user-select: none; | ||
-ms-user-select: none; | ||
position: relative; | ||
flex-grow: 1; | ||
min-height: 0; | ||
width: 100%; | ||
height:100%; | ||
} | ||
div { | ||
width:100%; | ||
height:100%; | ||
} | ||
</style> | ||
</head> | ||
|
||
<body> | ||
<div> | ||
<canvas id="canvas"></canvas> | ||
</div> | ||
<script> | ||
var color = Chart.helpers.color; | ||
|
||
async function mainfunc() { | ||
var color = Chart.helpers.color; | ||
//console.log(color) | ||
var datareq = await fetch('backend/results-api.php'); | ||
//console.log(datareq) | ||
var dataraw = await datareq.text(); | ||
//console.log(dataraw) | ||
try { | ||
dataraw = JSON.parse(dataraw); | ||
} catch { | ||
alert("Can't get data"); | ||
return 0; | ||
} | ||
|
||
data_sorted = {}; | ||
for (const data of dataraw["data"]) { | ||
let data_isp = data["isp"].split(" ").length > 1 ? data["isp"].split(" ")[0] + " " + data["isp"].split(" ")[1] : data["isp"]; | ||
if (data_isp in data_sorted) { | ||
data_sorted[data_isp] = data_sorted[data_isp].concat([data]) | ||
} else { | ||
data_sorted[data_isp] = [data] | ||
} | ||
} | ||
let datasets = [] | ||
for (const isp of Object.keys(data_sorted)) { | ||
let ispdata_chart = { | ||
label: isp, | ||
data: [] | ||
} | ||
for (const ispdata of data_sorted[isp]) { | ||
let [t_h, t_m, t_s] = ispdata["created"].split(" ")[1].split(":"); | ||
ispdata_chart["data"] = ispdata_chart["data"].concat([{ | ||
x: t_h * 1.0 + t_m / 60 + t_s / 3600, | ||
y: ispdata["dspeed"], | ||
label: ispdata | ||
}]); | ||
} | ||
datasets = datasets.concat([ispdata_chart]) | ||
} | ||
datasets = datasets.sort((a, b) => a["data"].length < b["data"].length ? 1 : -1); | ||
for (const [i, data] of datasets.entries()) { | ||
if (i === 0) { | ||
datasets[i]["borderColor"] = window.chartColors["red"]; | ||
datasets[i]["backgroundColor"] = color(datasets[i]["borderColor"]).alpha(0.9).rgbString() | ||
} else if (i === 1) { | ||
datasets[i]["borderColor"] = "rgb(12, 176, 42)"; | ||
datasets[i]["backgroundColor"] = color(datasets[i]["borderColor"]).alpha(0.9).rgbString() | ||
} else if (i === 2) { | ||
datasets[i]["borderColor"] = "rgb(2, 104, 219)"; | ||
datasets[i]["backgroundColor"] = color(datasets[i]["borderColor"]).alpha(0.9).rgbString() | ||
} | ||
else{ | ||
datasets[i]["borderColor"] = window.chartColors["gray"];; | ||
datasets[i]["backgroundColor"] = color(window.chartColors["gray"]).alpha(0.1).rgbString() | ||
} | ||
} | ||
console.log(datasets); | ||
scatterChartData = { | ||
datasets: datasets | ||
} | ||
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||
var ctx = document.getElementById('canvas').getContext('2d'); | ||
window.myScatter = Chart.Scatter(ctx, { | ||
data: scatterChartData, | ||
options: { | ||
title: { | ||
display: true, | ||
text: 'ISP Speed Chart' | ||
}, | ||
tooltips: { | ||
mode: 'nearest', | ||
callbacks: { | ||
title: function(TooltipItem, data){ | ||
// console.log(TooltipItem); | ||
// console.log(data); | ||
// console.log(data["datasets"][TooltipItem[0]["datasetIndex"]]["label"]) | ||
return data["datasets"][TooltipItem[0]["datasetIndex"]]["label"] | ||
}, | ||
label:function(TooltipItem, data){ | ||
return data["datasets"][TooltipItem["datasetIndex"]]["data"][TooltipItem["index"]]["label"]["isp"]; | ||
}, | ||
footer: function(TooltipItem, data){ | ||
// console.log(TooltipItem); | ||
// console.log(data); | ||
displaydata = data["datasets"][TooltipItem[0]["datasetIndex"]]["data"][TooltipItem[0]["index"]]["label"]; | ||
showdict = { | ||
location: displaydata["addr"], | ||
Download: displaydata["dspeed"], | ||
Upload: displaydata["uspeed"], | ||
Ping: displaydata["ping"], | ||
Jitter: displaydata["jitter"], | ||
IP: displaydata["ip"], | ||
Time: displaydata["created"], | ||
// ISP: displaydata["isp"], | ||
}; | ||
let showtext = "" | ||
for (const k of Object.keys(showdict)){ | ||
showtext += k + ": " + showdict[k] + "\n"; | ||
} | ||
return showtext | ||
}, | ||
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||
|
||
}, | ||
footerFontStyle: 'normal' | ||
}, | ||
scales: { | ||
yAxes: [{ | ||
type: 'linear', | ||
position: 'bottom', | ||
ticks: { | ||
userCallback: function(tick) { | ||
return tick.toString() + 'Mbps'; | ||
}, | ||
}, | ||
scaleLabel: { | ||
labelString: 'Speed', | ||
display: true, | ||
} | ||
}], | ||
xAxes: [{ | ||
type: 'linear', | ||
ticks: { | ||
userCallback: function(tick) { | ||
return tick.toString() + ':00'; | ||
}, | ||
beginAtZero: true, | ||
stepSize: 3, | ||
max: 24 | ||
}, | ||
scaleLabel: { | ||
labelString: 'Time', | ||
display: true | ||
} | ||
}] | ||
}, | ||
responsive: true, | ||
maintainAspectRatio: false | ||
} | ||
}); | ||
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} | ||
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window.onload = function() { | ||
mainfunc(); | ||
}; | ||
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</script> | ||
</body> | ||
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</html> | ||
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