Можно ли сохранить результат нагрузочного теста K6 или статическую панель инструментов Grafana в конвейере DevOps?
Можно запустить InfluxDB и выполнить резервное копирование/восстановление результатов позже.
Но есть ли альтернативы?
Что-то вроде моей попытки исправить K6 JSON result и заменить или смоделировать роль InfluxDB, сохранив данные в виде локального снимка некоторых DashBoard ? Я могу опубликовать эти JSON(/s) как артефакт и позже импортировать заполненную информационную панель в локальный экземпляр Grafana.
Последняя версия также может заменять Grafana на uPlot и может иметь размер ‹90 КБ (SPA, включая данные).
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function paintEm () {
for (const key in collection) {
const arr = collection[key];
let target = document.getElementById(arr[0][4]);
if (target == null) {
target = document.getElementById(key);
// if (!target) prompt('', JSON.stringify(arr));
let title = target.innerText;
target.innerText = '';
let data; const labels = [];
if (arr[0].length === 5) {
for (const multi of arr) {
if (!data) data = multi.slice(0, 2);
else data.push(multi[1]);
labels.push(multi[4]);
}
} else {
data = arr.pop();
createChart(data, title, target, labels);
let key4 = key + '.4';
for (const smallArray of arr) {
if (smallArray.length === 3) {
target = document.getElementById(key + '.' + smallArray[2]).lastChild;
let val = smallArray[1];
if (val < 1000) val = val.toFixed(2) + ' ms';
else val = (val / 1000).toFixed(2) + ' s';
target.innerText = val;
} else if (smallArray.length === 5) {
if (key4) {
target = document.getElementById(key4);
key4 = 0;
title = target.innerText;
target.innerText = '';
data = smallArray.slice(0, 2);
} else data.push(smallArray[1]);
labels.push(smallArray[4].replace(/.+\./g, ''));
}
}
}
createChart(data, title, target, labels);
continue;
}
const title = target.innerText;
target.innerText = '';
const data = arr[0].slice(0, 2);
createChart(data, title, target);
}
}
function createChart (data, title, inside, labels) {
const initXmin = data[0][0];
const initXmax = data[0][data[0].length - 1];
const rangerOpts = {
title: title,
width: 450,
height: 100,
cursor: {
y: false,
points: {
show: false
},
drag: {
setScale: false,
x: true,
y: false
},
sync: {
key: 'vus'
}
},
legend: {
show: false
},
scales: {
x: {
time: true
}
},
series: [
{},
{
label: ' ',
stroke: '#7eb26d'
}
],
hooks: {
ready: [
uRanger => {
const left = Math.round(uRanger.valToPos(initXmin, 'x'));
const width = Math.round(uRanger.valToPos(initXmax, 'x')) - left;
const height = uRanger.bbox.height / devicePixelRatio;
uRanger.setSelect({ left, width, height }, false);
}
]
},
axes: [
{
scale: 'mb',
values: (self, ticks) => ticks.map(rawValue => new Date(rawValue).toLocaleTimeString())
},
{
values: (self, ticks) => ticks.map(rawValue => rawValue.toFixed(0)),
side: 1,
grid: { show: true }
}
]
};
const zoomedOpts = {
width: 450,
height: 250,
cursor: {
drag: {
x: true,
y: false
},
sync: {
key: 'vus'
}
},
scales: {
x: {
time: true
}
},
series: [
{ value: (u, rawValue) => {
let exactFrac = rawValue.toString()
.substr(10)
.replace(/\./, '')
.replace(/0+$/, '');
if (exactFrac) exactFrac = '.' + exactFrac;
return new Date(rawValue).toLocaleTimeString().substr(6) + exactFrac + 's';
}},
{
stroke: '#7eb26d'
}
],
axes: [
{
scale: 'mb',
values: (self, ticks) => {
let x = ticks.map(rawValue => {
let exactFrac = rawValue.toString()
.substr(10)
.replace(/\./, '')
.replace(/0+$/, '');
if (exactFrac) exactFrac = '.' + exactFrac;
return new Date(rawValue).toLocaleTimeString().substr(6) + exactFrac + 's';
})
return x;
}
},
{
values: (self, ticks) => ticks.map(rawValue => rawValue.toFixed(0)),
side: 1,
grid: { show: true }
}
],
tzDate: ts => ( new Date(ts) )
};
rangerOpts.cursor.sync.key = title;
zoomedOpts.cursor.sync.key = title;
const colors = ['#7EB26D', '#EAB839', '#6ED0E0', '#EF843C'];
for (const l in labels) {
const nxt = (l === '0') ? rangerOpts.series[1] : { stroke: colors[l] };
nxt.label = labels[l].replace(/\..+/g, '');
if (l !== '0') {
rangerOpts.series.push(nxt);
zoomedOpts.series.push(nxt);
}
}
const uRanger = new uPlot(rangerOpts, data, inside);
const uZoomed = new uPlot(zoomedOpts, data, inside);
}<html><head>
<link rel="stylesheet" href="https://leeoniya.github.io/uPlot/dist/uPlot.min.css">
<style>
DIV { display: inline-block; }
SPAN > DIV { padding: 10px; }
SPAN > DIV { text-align: center; }
.uplot { display: block; width: 450px; }
</style>
</head>
<script src="https://leeoniya.github.io/uPlot/dist/uPlot.iife.js"></script>
<body onload="paintEm()">
<div id="vus.mean">Virtual Users</div>
<div id="http_reqs.sum">Requests per Second</div>
<div id="errors.count">Errors per Second</div>
<div id="Checks Per Second">Checks Per Second</div>
<br>
<span>
<div id="http_req_duration.mean"><B>Request duration (mean)</B><BR><div></div></div>
<div id="http_req_duration.max"><B>Request duration (max)</B><BR><div></div></div>
<div id="http_req_duration.median"><B>Request duration (med)</B><BR><div></div></div>
<div id="http_req_duration.min"><B>Request duration (min)</B><BR><div></div></div>
<div id="http_req_duration.p90"><B>Request duration (p90)</B><BR><div></div></div>
<div id="http_req_duration.p95"><B>Request duration (p95)</B><BR><div></div></div>
</span>
<br>
<div id="http_req_duration.4">Request duration</div>
<div id="http_req_duration">Request duration</div>
<br>
<span>
<div id="http_req_blocked.mean"><B>Waiting 4 3 TCP connection slot (mean)</B><BR><div></div></div>
<div id="http_req_blocked.max"><B>Waiting 4 3 TCP connection slot (max)</B><BR><div></div></div>
<div id="http_req_blocked.median"><B>Waiting 4 3 TCP connection slot (med)</B><BR><div></div></div>
<div id="http_req_blocked.min"><B>Waiting 4 3 TCP connection slot (min)</B><BR><div></div></div>
<div id="http_req_blocked.p90"><B>Waiting 4 3 TCP connection slot (p90)</B><BR><div></div></div>
<div id="http_req_blocked.p95"><B>Waiting 4 3 TCP connection slot (p95)</B><BR><div></div></div>
</span>
<br>
<div id="http_req_blocked.4">Waiting 4 3 TCP connection slot</div>
<div id="http_req_blocked">Waiting 4 3 TCP connection slot</div>
</body>
</html>