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Diffstat (limited to 'website/_includes/graph.html')
| -rw-r--r-- | website/_includes/graph.html | 205 |
1 files changed, 205 insertions, 0 deletions
diff --git a/website/_includes/graph.html b/website/_includes/graph.html new file mode 100644 index 000000000..ba4cf9840 --- /dev/null +++ b/website/_includes/graph.html @@ -0,0 +1,205 @@ +{::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> +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> +{:/} |