blob: d22375763ea6c19d9d4bed4cfc80ca2c85e77734 [file] [log] [blame]
// This file provides a basic demonstration of the plotting functionality.
// The plotDemo() function provided here is called by
// //frc971/analysis:plot_index.ts
// To view the demo plot, run
// bazel run -c opt //frc971/analysis:live_web_plotter_demo
// And then navigate to
// http://localhost:8080/?plot=Demo
// The plot=Demo isn't structly necessary, but ensures that this plot is
// selected by default--otherwise, you'll need to select "Demo" from the
// drop-down menu.
//
// This example shows how to:
// (a) Make use of the AosPlotter to plot a shmem message as a time-series.
// (b) Define your own custom plot with whatever data you want.
import {AosPlotter} from 'org_frc971/aos/network/www/aos_plotter';
import {Plot} from 'org_frc971/aos/network/www/plotter';
import * as proxy from 'org_frc971/aos/network/www/proxy';
import Connection = proxy.Connection;
export function plotDemo(conn: Connection, parentDiv: Element): void {
const width = 900;
const height = 400;
const benchmarkDiv = document.createElement('div');
benchmarkDiv.style.top = height.toString();
benchmarkDiv.style.left = '0';
benchmarkDiv.style.position = 'absolute';
parentDiv.appendChild(benchmarkDiv);
const benchmarkPlot = new Plot(benchmarkDiv, width, height);
const aosPlotter = new AosPlotter(conn);
{
// Setup a plot that just shows the PID of each timing report message.
// For the basic live_web_plotter_demo, this will be a boring line showing
// just the PID of the proxy process. On a real system, or against a logfile,
// this would show the PIDs of all active processes.
const timingReport =
aosPlotter.addMessageSource('/aos', 'aos.timing.Report');
const timingPlot =
aosPlotter.addPlot(parentDiv, [0, 0], [width, height]);
timingPlot.plot.getAxisLabels().setTitle('Timing Report PID');
timingPlot.plot.getAxisLabels().setYLabel('PID');
timingPlot.plot.getAxisLabels().setXLabel('Monotonic Send Time (sec)');
const msgLine = timingPlot.addMessageLine(timingReport, ['pid']);
msgLine.setDrawLine(false);
msgLine.setPointSize(5);
}
// Set up and draw the benchmarking plot.
benchmarkPlot.getAxisLabels().setTitle(
'Benchmarking plot (1M points per line)');
const line1 = benchmarkPlot.getDrawer().addLine();
// For demonstration purposes, make line1 only have points and line2 only have
// lines.
line1.setDrawLine(false);
line1.setLabel('LINE ONE');
const line2 = benchmarkPlot.getDrawer().addLine();
line2.setPointSize(0);
line2.setLabel('LINE TWO');
const NUM_POINTS = 1000000;
const points1 = [];
const points2 = [];
for (let ii = 0; ii < NUM_POINTS; ++ii) {
points1.push(ii);
points2.push(ii);
points1.push(Math.sin(ii * 10 / NUM_POINTS));
points2.push(Math.cos(ii * 10 / NUM_POINTS));
}
line1.setPoints(new Float32Array(points1));
line2.setPoints(new Float32Array(points2));
}