13181035bc
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 Review URL: https://codereview.webrtc.org/2193763002 . Cr-Commit-Position: refs/heads/master@{#13574}
105 lines
3.3 KiB
C++
105 lines
3.3 KiB
C++
/*
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* Copyright (c) 2016 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include "webrtc/tools/event_log_visualizer/plot_python.h"
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#include <stdio.h>
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#include <memory>
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namespace webrtc {
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namespace plotting {
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PythonPlot::PythonPlot() {}
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PythonPlot::~PythonPlot() {}
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void PythonPlot::draw() {
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// Write python commands to stdout. Intended program usage is
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// ./event_log_visualizer event_log160330.dump | python
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if (!series.empty()) {
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printf("color_count = %zu\n", series.size());
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printf(
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"hls_colors = [(i*1.0/color_count, 0.25+i*0.5/color_count, 0.8) for i "
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"in range(color_count)]\n");
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printf("rgb_colors = [colorsys.hls_to_rgb(*hls) for hls in hls_colors]\n");
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for (size_t i = 0; i < series.size(); i++) {
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// List x coordinates
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printf("x%zu = [", i);
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if (series[i].points.size() > 0)
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printf("%G", series[i].points[0].x);
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for (size_t j = 1; j < series[i].points.size(); j++)
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printf(", %G", series[i].points[j].x);
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printf("]\n");
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// List y coordinates
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printf("y%zu = [", i);
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if (series[i].points.size() > 0)
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printf("%G", series[i].points[0].y);
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for (size_t j = 1; j < series[i].points.size(); j++)
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printf(", %G", series[i].points[j].y);
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printf("]\n");
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if (series[i].style == BAR_GRAPH) {
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// There is a plt.bar function that draws bar plots,
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// but it is *way* too slow to be useful.
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printf(
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"plt.vlines(x%zu, map(lambda t: min(t,0), y%zu), map(lambda t: "
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"max(t,0), y%zu), color=rgb_colors[%zu], "
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"label=\'%s\')\n",
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i, i, i, i, series[i].label.c_str());
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} else if (series[i].style == LINE_GRAPH) {
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printf("plt.plot(x%zu, y%zu, color=rgb_colors[%zu], label=\'%s\')\n", i,
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i, i, series[i].label.c_str());
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} else if (series[i].style == LINE_DOT_GRAPH) {
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printf(
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"plt.plot(x%zu, y%zu, color=rgb_colors[%zu], label=\'%s\', "
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"marker='.')\n",
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i, i, i, series[i].label.c_str());
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} else {
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printf("raise Exception(\"Unknown graph type\")\n");
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}
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}
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}
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printf("plt.xlim(%f, %f)\n", xaxis_min, xaxis_max);
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printf("plt.ylim(%f, %f)\n", yaxis_min, yaxis_max);
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printf("plt.xlabel(\'%s\')\n", xaxis_label.c_str());
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printf("plt.ylabel(\'%s\')\n", yaxis_label.c_str());
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printf("plt.title(\'%s\')\n", title.c_str());
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if (!series.empty()) {
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printf("plt.legend(loc=\'best\', fontsize=\'small\')\n");
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}
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}
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PythonPlotCollection::PythonPlotCollection() {}
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PythonPlotCollection::~PythonPlotCollection() {}
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void PythonPlotCollection::draw() {
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printf("import matplotlib.pyplot as plt\n");
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printf("import colorsys\n");
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for (size_t i = 0; i < plots.size(); i++) {
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printf("plt.figure(%zu)\n", i);
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plots[i]->draw();
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}
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printf("plt.show()\n");
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}
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Plot* PythonPlotCollection::append_new_plot() {
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Plot* plot = new PythonPlot();
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plots.push_back(std::unique_ptr<Plot>(plot));
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return plot;
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}
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} // namespace plotting
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} // namespace webrtc
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