gvisor/website/_includes/graph.html

206 lines
6.4 KiB
HTML

{::nomarkdown}
{% assign fn = include.id | remove: " " | remove: "-" | downcase %}
<figure><a href="{{ include.url }}"><svg id="{{ include.id }}" width=500 height=200 onload="render_{{ fn }}()"><title>{{ include.title }}</title></svg></a></figure>
<script type="text/javascript">
function render_{{ fn }}() {
d3.csv("{{ include.url }}", function(d, i, columns) {
return d; // Transformed below.
}, function(error, data) {
if (error) throw(error);
// Create a new data that pivots on runtime.
//
// To start, we have:
// runtime, ..., result
// runc, ..., 1
// runsc, ..., 2
//
// In the end we want:
// ..., runsc, runc
// ..., 1, 2
// Filter by metric, if required.
if ("{{ include.metric }}" != "") {
orig_columns = data.columns;
data = data.filter(d => d.metric == "{{ include.metric }}");
data.columns = orig_columns;
}
// Filter by method, if required.
if ("{{ include.method }}" != "") {
orig_columns = data.columns;
data = data.filter(d => d.method == "{{ include.method }}");
data.columns = orig_columns.filter(key => key != "method");
}
// Enumerate runtimes.
var runtimes = Array.from(new Set(data.map(d => d.runtime)));
var metrics = Array.from(new Set(data.map(d => d.metric)));
if (metrics.length < 1) {
console.log(data);
throw("need at least one metric");
} else if (metrics.length == 1) {
metric = metrics[0];
data.columns = data.columns.filter(key => key != "metric");
} else {
metric = ""; // Used for grouping.
}
var isSubset = function(a, sup) {
var ap = Object.getOwnPropertyNames(a);
for (var i = 0; i < ap.length; i++) {
if (a[ap[i]] !== sup[ap[i]]) {
return false;
}
}
return true;
};
// Execute a pivot to include runtimes as attributes.
var new_data = data.map(function(data_item) {
// Generate a prototype data item.
var proto_item = Object.assign({}, data_item);
delete proto_item.runtime;
delete proto_item.result;
var next_item = Object.assign({}, proto_item);
// Find all matching runtime items.
data.forEach(function(d) {
if (isSubset(proto_item, d)) {
// Add the result result.
next_item[d.runtime] = d.result;
}
});
return next_item;
});
// Remove any duplication.
new_data = Array.from(new Set(new_data));
new_data.columns = data.columns;
new_data.columns = new_data.columns.filter(key => key != "runtime" && key != "result");
new_data.columns = new_data.columns.concat(runtimes);
data = new_data;
// Slice based on the first key.
if (data.columns.length != runtimes.length) {
x0_key = new_data.columns[0];
var x1_domain = data.columns.slice(1);
} else {
x0_key = "runtime";
var x1_domain = runtimes;
}
// Determine varaible margins.
var x0_domain = data.map(d => d[x0_key]);
var margin_bottom_pad = 0;
if (x0_domain.length > 8) {
margin_bottom_pad = 50;
}
// Use log scale if required.
var y_min = 0;
if ({{ include.log | default: "false" }}) {
// Need to cap lower end of the domain at 1.
y_min = 1;
}
if ({{ include.y_min | default: "false" }}) {
y_min = "{{ include.y_min }}";
}
var svg = d3.select("#{{ include.id }}"),
margin = {top: 20, right: 20, bottom: 30 + margin_bottom_pad, left: 50},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x0 = d3.scaleBand()
.rangeRound([margin.left / 2, width - (4 * margin.right)])
.paddingInner(0.1);
var x1 = d3.scaleBand()
.padding(0.05);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
if ({{ include.log | default: "false" }}) {
y = d3.scaleLog()
.rangeRound([height, 0]);
}
var z = d3.scaleOrdinal()
.range(["#262362", "#FBB03B", "#286FD7", "#6b486b"]);
// Set all domains.
x0.domain(x0_domain);
x1.domain(x1_domain).rangeRound([0, x0.bandwidth()]);
y.domain([y_min, d3.max(data, d => d3.max(x1_domain, key => parseFloat(d[key])))]).nice();
// The data.
g.append("g")
.selectAll("g")
.data(data)
.enter().append("g")
.attr("transform", function(d) { return "translate(" + x0(d[x0_key]) + ",0)"; })
.selectAll("rect")
.data(d => x1_domain.map(key => ({key, value: d[key]})))
.enter().append("rect")
.attr("x", d => x1(d.key))
.attr("y", d => y(d.value))
.attr("width", x1.bandwidth())
.attr("height", d => y(y_min) - y(d.value))
.attr("fill", d => z(d.key));
// X0 ticks and labels.
var x0_axis = g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x0));
if (x0_domain.length > 8) {
x0_axis.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", "rotate(-65)");
}
// Y ticks and top-label.
if (metric == "default") {
metric = ""; // Don't display.
}
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", -30.0)
.attr("y", y(y.ticks().pop()) - 10.0)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
.text(metric);
// The legend.
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(x1_domain.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 19)
.attr("width", 19)
.attr("height", 19)
.attr("fill", z);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) { return d; });
});
}
</script>
{:/}