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Revert of Visualization tool for WebrtcEventLogs (patchset #9 id:160001 of https://codereview.webrtc.org/1995523002/ )

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Reason for revert:
Reverting while investigating a downstream build failure.

Original issue's description:
> Initial version of the local visualization tool for WebrtcEventLogs.
>
> Plot graphs to python code. Generate packet, playout, sequence number and total bitrate graphs.
>
> Add bitrate and latency plots. Generate multiple figures, and control which ones are used through command line flags.
>
> Committed: https://crrev.com/a478786ef1513790194792010f766324a469db4d
> Cr-Commit-Position: refs/heads/master@{#13443}

TBR=stefan@webrtc.org,aleloi@webrtc.org,phoglund@webrtc.org,henrika@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/2147453002
Cr-Commit-Position: refs/heads/master@{#13445}
This commit is contained in:
terelius
2016-07-12 05:11:21 -07:00
committed by Commit bot
parent d658edeeed
commit a44f28da45
10 changed files with 1 additions and 1181 deletions
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98
webrtc/tools/event_log_visualizer/plot_python.cc
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@ -1,98 +0,0 @@
/*
* 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