59c1ad58e6
Reason for revert: Breaks downstream targets. Original issue's description: > Add BWE plot to event log analyzer. > > The plot is constructed by actually running the congestion controller with > the logged rtp headers and rtcp feedback messages to reproduce the same behavior > as in the real call. > > R=phoglund@webrtc.org, terelius@webrtc.org > > Committed: https://crrev.com/2beea2a8c920000ef19eea20cce397507fc3d5e7 > Cr-Commit-Position: refs/heads/master@{#13558} TBR=phoglund@webrtc.org,stefan@webrtc.org # Skipping CQ checks because original CL landed less than 1 days ago. NOPRESUBMIT=true NOTREECHECKS=true NOTRY=true Review-Url: https://codereview.webrtc.org/2190013002 Cr-Commit-Position: refs/heads/master@{#13559}
99 lines
3.1 KiB
C++
99 lines
3.1 KiB
C++
/*
|
|
* Copyright (c) 2016 The WebRTC project authors. All Rights Reserved.
|
|
*
|
|
* Use of this source code is governed by a BSD-style license
|
|
* that can be found in the LICENSE file in the root of the source
|
|
* tree. An additional intellectual property rights grant can be found
|
|
* in the file PATENTS. All contributing project authors may
|
|
* be found in the AUTHORS file in the root of the source tree.
|
|
*/
|
|
|
|
#include "webrtc/tools/event_log_visualizer/plot_python.h"
|
|
|
|
#include <stdio.h>
|
|
|
|
namespace webrtc {
|
|
namespace plotting {
|
|
|
|
PythonPlot::PythonPlot() {}
|
|
|
|
PythonPlot::~PythonPlot() {}
|
|
|
|
void PythonPlot::draw() {
|
|
// Write python commands to stdout. Intended program usage is
|
|
// ./event_log_visualizer event_log160330.dump | python
|
|
|
|
if (!series.empty()) {
|
|
printf("color_count = %zu\n", series.size());
|
|
printf(
|
|
"hls_colors = [(i*1.0/color_count, 0.25+i*0.5/color_count, 0.8) for i "
|
|
"in range(color_count)]\n");
|
|
printf("rgb_colors = [colorsys.hls_to_rgb(*hls) for hls in hls_colors]\n");
|
|
|
|
for (size_t i = 0; i < series.size(); i++) {
|
|
// List x coordinates
|
|
printf("x%zu = [", i);
|
|
if (series[i].points.size() > 0)
|
|
printf("%G", series[i].points[0].x);
|
|
for (size_t j = 1; j < series[i].points.size(); j++)
|
|
printf(", %G", series[i].points[j].x);
|
|
printf("]\n");
|
|
|
|
// List y coordinates
|
|
printf("y%zu = [", i);
|
|
if (series[i].points.size() > 0)
|
|
printf("%G", series[i].points[0].y);
|
|
for (size_t j = 1; j < series[i].points.size(); j++)
|
|
printf(", %G", series[i].points[j].y);
|
|
printf("]\n");
|
|
|
|
if (series[i].style == BAR_GRAPH) {
|
|
// There is a plt.bar function that draws bar plots,
|
|
// but it is *way* too slow to be useful.
|
|
printf(
|
|
"plt.vlines(x%zu, map(lambda t: min(t,0), y%zu), map(lambda t: "
|
|
"max(t,0), y%zu), color=rgb_colors[%zu], "
|
|
"label=\'%s\')\n",
|
|
i, i, i, i, series[i].label.c_str());
|
|
} else if (series[i].style == LINE_GRAPH) {
|
|
printf("plt.plot(x%zu, y%zu, color=rgb_colors[%zu], label=\'%s\')\n", i,
|
|
i, i, series[i].label.c_str());
|
|
} else {
|
|
printf("raise Exception(\"Unknown graph type\")\n");
|
|
}
|
|
}
|
|
}
|
|
|
|
printf("plt.xlim(%f, %f)\n", xaxis_min, xaxis_max);
|
|
printf("plt.ylim(%f, %f)\n", yaxis_min, yaxis_max);
|
|
printf("plt.xlabel(\'%s\')\n", xaxis_label.c_str());
|
|
printf("plt.ylabel(\'%s\')\n", yaxis_label.c_str());
|
|
printf("plt.title(\'%s\')\n", title.c_str());
|
|
if (!series.empty()) {
|
|
printf("plt.legend(loc=\'best\', fontsize=\'small\')\n");
|
|
}
|
|
}
|
|
|
|
PythonPlotCollection::PythonPlotCollection() {}
|
|
|
|
PythonPlotCollection::~PythonPlotCollection() {}
|
|
|
|
void PythonPlotCollection::draw() {
|
|
printf("import matplotlib.pyplot as plt\n");
|
|
printf("import colorsys\n");
|
|
for (size_t i = 0; i < plots.size(); i++) {
|
|
printf("plt.figure(%zu)\n", i);
|
|
plots[i]->draw();
|
|
}
|
|
printf("plt.show()\n");
|
|
}
|
|
|
|
Plot* PythonPlotCollection::append_new_plot() {
|
|
Plot* plot = new PythonPlot();
|
|
plots.push_back(std::unique_ptr<Plot>(plot));
|
|
return plot;
|
|
}
|
|
|
|
} // namespace plotting
|
|
} // namespace webrtc
|