| <!DOCTYPE html> |
| <meta charset="utf-8"> |
| <style> |
| @import url(http://fonts.googleapis.com/css?family=Yanone+Kaffeesatz:400,700); |
| @import url(http://square.github.io/cubism/style.css); |
| </style> |
| <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script> |
| <script src="http://square.github.io/cubism/cubism.v1.js"></script> |
| <div id="body"> <div id="graph" /></div> |
| |
| <script> |
| |
| // create context and horizon |
| var context = cubism.context().serverDelay(3 * 1000).step(1000).size(1000) |
| var horizon = context.horizon().extent([0, 100]) |
| |
| // define metric accessor |
| function wally_source(name) { |
| function selector(start, stop, step, callback){ |
| function on_result(data) { |
| callback(null, data); |
| }; |
| |
| url = "/sensors?start=" + start + "&stop=" + stop + "&step=" + step + "&name=" + name; |
| d3.json(url, on_result); |
| } |
| |
| return context.metric(selector, name); |
| } |
| |
| // draw graph |
| var metrics = ["testnodes:io_q", "testnodes:cpu"]; |
| horizon.metric(wally_source); |
| |
| d3.select("#graph").selectAll(".horizon") |
| .data(metrics) |
| .enter() |
| .append("div") |
| .attr("class", "horizon") |
| .call(horizon.height(120)); |
| |
| // set rule |
| d3.select("#body").append("div") |
| .attr("class", "rule") |
| .call(context.rule()); |
| |
| // set focus |
| context.on("focus", function(i) { |
| d3.selectAll(".value") |
| .style( "right", i == null ? null : context.size() - i + "px"); |
| }); |
| |
| // set axis |
| var axis = context.axis() |
| d3.select("#graph").append("div").attr("class", "axis").append("g").call(axis); |
| |
| </script> |