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The new API stores events gathered by event type. For example, it is possible to ask for a list of all incoming RTCP messages or all audio playout events. The new API is experimental and may change over next few weeks. Once it has stabilized and all unit tests and existing tools have been ported to the new API, the old one will be removed. This CL also updates the event_log_visualizer tool to use the new parser API. This is not a funcional change except for: - Incoming and outgoing audio level are now drawn in two separate plots. - Incoming and outgoing timstamps are now drawn in two separate plots. - RTCP count is no longer split into Video and Audio. It also counts all RTCP packets rather than only specific message types. - Slight timing difference in sendside BWE simulation due to only iterating over transport feedbacks and not over all RTCP packets. This timing changes are not visible in the plots. Media type for RTCP messages might not be identified correctly by rtc_event_log2text anymore. On the other hand, assigning a specific media type to an RTCP packet was a bit hacky to begin with. Bug: webrtc:8111 Change-Id: Ib244338c86a2c1a010c668a7aba440482023b512 Reviewed-on: https://webrtc-review.googlesource.com/73140 Reviewed-by: Sebastian Jansson <srte@webrtc.org> Reviewed-by: Minyue Li <minyue@webrtc.org> Commit-Queue: Björn Terelius <terelius@webrtc.org> Cr-Commit-Position: refs/heads/master@{#23056}
182 lines
6.7 KiB
C++
182 lines
6.7 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 "rtc_tools/event_log_visualizer/plot_python.h"
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#include <stdio.h>
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#include <memory>
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#include "rtc_base/checks.h"
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namespace webrtc {
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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_list_.empty()) {
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printf("color_count = %zu\n", series_list_.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("colors = [colorsys.hls_to_rgb(*hls) for hls in hls_colors]\n");
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for (size_t i = 0; i < series_list_.size(); i++) {
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printf("\n# === Series: %s ===\n", series_list_[i].label.c_str());
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// List x coordinates
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printf("x%zu = [", i);
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if (series_list_[i].points.size() > 0)
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printf("%G", series_list_[i].points[0].x);
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for (size_t j = 1; j < series_list_[i].points.size(); j++)
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printf(", %G", series_list_[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_list_[i].points.size() > 0)
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printf("%G", series_list_[i].points[0].y);
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for (size_t j = 1; j < series_list_[i].points.size(); j++)
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printf(", %G", series_list_[i].points[j].y);
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printf("]\n");
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if (series_list_[i].line_style == LineStyle::kBar) {
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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=colors[%zu], "
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"label=\'%s\')\n",
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i, i, i, i, series_list_[i].label.c_str());
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if (series_list_[i].point_style == PointStyle::kHighlight) {
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printf(
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"plt.plot(x%zu, y%zu, color=colors[%zu], "
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"marker='.', ls=' ')\n",
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i, i, i);
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}
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} else if (series_list_[i].line_style == LineStyle::kLine) {
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if (series_list_[i].point_style == PointStyle::kHighlight) {
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printf(
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"plt.plot(x%zu, y%zu, color=colors[%zu], label=\'%s\', "
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"marker='.')\n",
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i, i, i, series_list_[i].label.c_str());
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} else {
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printf("plt.plot(x%zu, y%zu, color=colors[%zu], label=\'%s\')\n", i,
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i, i, series_list_[i].label.c_str());
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}
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} else if (series_list_[i].line_style == LineStyle::kStep) {
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// Draw lines from (x[0],y[0]) to (x[1],y[0]) to (x[1],y[1]) and so on
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// to illustrate the "steps". This can be expressed by duplicating all
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// elements except the first in x and the last in y.
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printf("xd%zu = [dup for v in x%zu for dup in [v, v]]\n", i, i);
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printf("yd%zu = [dup for v in y%zu for dup in [v, v]]\n", i, i);
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printf(
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"plt.plot(xd%zu[1:], yd%zu[:-1], color=colors[%zu], "
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"label=\'%s\')\n",
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i, i, i, series_list_[i].label.c_str());
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if (series_list_[i].point_style == PointStyle::kHighlight) {
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printf(
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"plt.plot(x%zu, y%zu, color=colors[%zu], "
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"marker='.', ls=' ')\n",
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i, i, i);
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}
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} else if (series_list_[i].line_style == LineStyle::kNone) {
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printf(
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"plt.plot(x%zu, y%zu, color=colors[%zu], label=\'%s\', "
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"marker='o', ls=' ')\n",
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i, i, i, series_list_[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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// IntervalSeries
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printf("interval_colors = ['#ff8e82','#5092fc','#c4ffc4','#aaaaaa']\n");
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RTC_CHECK_LE(interval_list_.size(), 4);
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// To get the intervals to show up in the legend we have to create patches
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// for them.
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printf("legend_patches = []\n");
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for (size_t i = 0; i < interval_list_.size(); i++) {
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// List intervals
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printf("\n# === IntervalSeries: %s ===\n",
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interval_list_[i].label.c_str());
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printf("ival%zu = [", i);
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if (interval_list_[i].intervals.size() > 0) {
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printf("(%G, %G)", interval_list_[i].intervals[0].begin,
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interval_list_[i].intervals[0].end);
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}
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for (size_t j = 1; j < interval_list_[i].intervals.size(); j++) {
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printf(", (%G, %G)", interval_list_[i].intervals[j].begin,
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interval_list_[i].intervals[j].end);
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}
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printf("]\n");
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printf("for i in range(0, %zu):\n", interval_list_[i].intervals.size());
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if (interval_list_[i].orientation == IntervalSeries::kVertical) {
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printf(
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" plt.axhspan(ival%zu[i][0], ival%zu[i][1], "
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"facecolor=interval_colors[%zu], "
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"alpha=0.3)\n",
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i, i, i);
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} else {
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printf(
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" plt.axvspan(ival%zu[i][0], ival%zu[i][1], "
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"facecolor=interval_colors[%zu], "
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"alpha=0.3)\n",
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i, i, i);
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}
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printf(
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"legend_patches.append(mpatches.Patch(ec=\'black\', "
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"fc=interval_colors[%zu], label='%s'))\n",
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i, interval_list_[i].label.c_str());
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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_list_.empty() || !interval_list_.empty()) {
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printf("handles, labels = plt.gca().get_legend_handles_labels()\n");
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printf("for lp in legend_patches:\n");
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printf(" handles.append(lp)\n");
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printf(" labels.append(lp.get_label())\n");
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printf("plt.legend(handles, labels, 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 matplotlib.patches as mpatches\n");
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printf("import matplotlib.patheffects as pe\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::AppendNewPlot() {
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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 webrtc
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