From 36d22d82aa202bb199967e9512281e9a53db42c9 Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Sun, 7 Apr 2024 21:33:14 +0200 Subject: Adding upstream version 115.7.0esr. Signed-off-by: Daniel Baumann --- .../rtc_event_log_visualizer/plot_base.cc | 324 +++++++++++++++++++++ 1 file changed, 324 insertions(+) create mode 100644 third_party/libwebrtc/rtc_tools/rtc_event_log_visualizer/plot_base.cc (limited to 'third_party/libwebrtc/rtc_tools/rtc_event_log_visualizer/plot_base.cc') diff --git a/third_party/libwebrtc/rtc_tools/rtc_event_log_visualizer/plot_base.cc b/third_party/libwebrtc/rtc_tools/rtc_event_log_visualizer/plot_base.cc new file mode 100644 index 0000000000..7926019cd2 --- /dev/null +++ b/third_party/libwebrtc/rtc_tools/rtc_event_log_visualizer/plot_base.cc @@ -0,0 +1,324 @@ +/* + * 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 "rtc_tools/rtc_event_log_visualizer/plot_base.h" + +#include +#include + +#include "rtc_base/checks.h" + +namespace webrtc { + +void Plot::SetXAxis(float min_value, + float max_value, + std::string label, + float left_margin, + float right_margin) { + RTC_DCHECK_LE(min_value, max_value); + xaxis_min_ = min_value - left_margin * (max_value - min_value); + xaxis_max_ = max_value + right_margin * (max_value - min_value); + xaxis_label_ = label; +} + +void Plot::SetSuggestedXAxis(float min_value, + float max_value, + std::string label, + float left_margin, + float right_margin) { + for (const auto& series : series_list_) { + for (const auto& point : series.points) { + min_value = std::min(min_value, point.x); + max_value = std::max(max_value, point.x); + } + } + SetXAxis(min_value, max_value, label, left_margin, right_margin); +} + +void Plot::SetYAxis(float min_value, + float max_value, + std::string label, + float bottom_margin, + float top_margin) { + RTC_DCHECK_LE(min_value, max_value); + yaxis_min_ = min_value - bottom_margin * (max_value - min_value); + yaxis_max_ = max_value + top_margin * (max_value - min_value); + yaxis_label_ = label; +} + +void Plot::SetSuggestedYAxis(float min_value, + float max_value, + std::string label, + float bottom_margin, + float top_margin) { + for (const auto& series : series_list_) { + for (const auto& point : series.points) { + min_value = std::min(min_value, point.y); + max_value = std::max(max_value, point.y); + } + } + SetYAxis(min_value, max_value, label, bottom_margin, top_margin); +} + +void Plot::SetYAxisTickLabels( + const std::vector>& labels) { + yaxis_tick_labels_ = labels; +} + +void Plot::SetTitle(const std::string& title) { + title_ = title; +} + +void Plot::SetId(const std::string& id) { + id_ = id; +} + +void Plot::AppendTimeSeries(TimeSeries&& time_series) { + series_list_.emplace_back(std::move(time_series)); +} + +void Plot::AppendIntervalSeries(IntervalSeries&& interval_series) { + interval_list_.emplace_back(std::move(interval_series)); +} + +void Plot::AppendTimeSeriesIfNotEmpty(TimeSeries&& time_series) { + if (!time_series.points.empty()) { + series_list_.emplace_back(std::move(time_series)); + } +} + +void Plot::PrintPythonCode() const { + // Write python commands to stdout. Intended program usage is + // ./event_log_visualizer event_log160330.dump | python + + if (!series_list_.empty()) { + printf("color_count = %zu\n", series_list_.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("colors = [colorsys.hls_to_rgb(*hls) for hls in hls_colors]\n"); + + for (size_t i = 0; i < series_list_.size(); i++) { + printf("\n# === Series: %s ===\n", series_list_[i].label.c_str()); + // List x coordinates + printf("x%zu = [", i); + if (!series_list_[i].points.empty()) + printf("%.3f", series_list_[i].points[0].x); + for (size_t j = 1; j < series_list_[i].points.size(); j++) + printf(", %.3f", series_list_[i].points[j].x); + printf("]\n"); + + // List y coordinates + printf("y%zu = [", i); + if (!series_list_[i].points.empty()) + printf("%G", series_list_[i].points[0].y); + for (size_t j = 1; j < series_list_[i].points.size(); j++) + printf(", %G", series_list_[i].points[j].y); + printf("]\n"); + + if (series_list_[i].line_style == LineStyle::kBar) { + // There is a plt.bar function that draws bar plots, + // but it is *way* too slow to be useful. + printf( + "plt.vlines(x%zu, [min(t,0) for t in y%zu], [max(t,0) for t in " + "y%zu], color=colors[%zu], label=\'%s\')\n", + i, i, i, i, series_list_[i].label.c_str()); + if (series_list_[i].point_style == PointStyle::kHighlight) { + printf( + "plt.plot(x%zu, y%zu, color=colors[%zu], " + "marker='.', ls=' ')\n", + i, i, i); + } + } else if (series_list_[i].line_style == LineStyle::kLine) { + if (series_list_[i].point_style == PointStyle::kHighlight) { + printf( + "plt.plot(x%zu, y%zu, color=colors[%zu], label=\'%s\', " + "marker='.')\n", + i, i, i, series_list_[i].label.c_str()); + } else { + printf("plt.plot(x%zu, y%zu, color=colors[%zu], label=\'%s\')\n", i, + i, i, series_list_[i].label.c_str()); + } + } else if (series_list_[i].line_style == LineStyle::kStep) { + // Draw lines from (x[0],y[0]) to (x[1],y[0]) to (x[1],y[1]) and so on + // to illustrate the "steps". This can be expressed by duplicating all + // elements except the first in x and the last in y. + printf("xd%zu = [dup for v in x%zu for dup in [v, v]]\n", i, i); + printf("yd%zu = [dup for v in y%zu for dup in [v, v]]\n", i, i); + printf( + "plt.plot(xd%zu[1:], yd%zu[:-1], color=colors[%zu], " + "label=\'%s\')\n", + i, i, i, series_list_[i].label.c_str()); + if (series_list_[i].point_style == PointStyle::kHighlight) { + printf( + "plt.plot(x%zu, y%zu, color=colors[%zu], " + "marker='.', ls=' ')\n", + i, i, i); + } + } else if (series_list_[i].line_style == LineStyle::kNone) { + printf( + "plt.plot(x%zu, y%zu, color=colors[%zu], label=\'%s\', " + "marker='o', ls=' ')\n", + i, i, i, series_list_[i].label.c_str()); + } else { + printf("raise Exception(\"Unknown graph type\")\n"); + } + } + + // IntervalSeries + printf("interval_colors = ['#ff8e82','#5092fc','#c4ffc4','#aaaaaa']\n"); + RTC_CHECK_LE(interval_list_.size(), 4); + // To get the intervals to show up in the legend we have to create patches + // for them. + printf("legend_patches = []\n"); + for (size_t i = 0; i < interval_list_.size(); i++) { + // List intervals + printf("\n# === IntervalSeries: %s ===\n", + interval_list_[i].label.c_str()); + printf("ival%zu = [", i); + if (!interval_list_[i].intervals.empty()) { + printf("(%G, %G)", interval_list_[i].intervals[0].begin, + interval_list_[i].intervals[0].end); + } + for (size_t j = 1; j < interval_list_[i].intervals.size(); j++) { + printf(", (%G, %G)", interval_list_[i].intervals[j].begin, + interval_list_[i].intervals[j].end); + } + printf("]\n"); + + printf("for i in range(0, %zu):\n", interval_list_[i].intervals.size()); + if (interval_list_[i].orientation == IntervalSeries::kVertical) { + printf( + " plt.axhspan(ival%zu[i][0], ival%zu[i][1], " + "facecolor=interval_colors[%zu], " + "alpha=0.3)\n", + i, i, i); + } else { + printf( + " plt.axvspan(ival%zu[i][0], ival%zu[i][1], " + "facecolor=interval_colors[%zu], " + "alpha=0.3)\n", + i, i, i); + } + printf( + "legend_patches.append(mpatches.Patch(ec=\'black\', " + "fc=interval_colors[%zu], label='%s'))\n", + i, interval_list_[i].label.c_str()); + } + } + + 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()); + printf("fig = plt.gcf()\n"); + printf("fig.canvas.manager.set_window_title(\'%s\')\n", id_.c_str()); + if (!yaxis_tick_labels_.empty()) { + printf("yaxis_tick_labels = ["); + for (const auto& kv : yaxis_tick_labels_) { + printf("(%f,\"%s\"),", kv.first, kv.second.c_str()); + } + printf("]\n"); + printf("yaxis_tick_labels = list(zip(*yaxis_tick_labels))\n"); + printf("plt.yticks(*yaxis_tick_labels)\n"); + } + if (!series_list_.empty() || !interval_list_.empty()) { + printf("handles, labels = plt.gca().get_legend_handles_labels()\n"); + printf("for lp in legend_patches:\n"); + printf(" handles.append(lp)\n"); + printf(" labels.append(lp.get_label())\n"); + printf("plt.legend(handles, labels, loc=\'best\', fontsize=\'small\')\n"); + } +} + +void Plot::ExportProtobuf(webrtc::analytics::Chart* chart) const { + for (size_t i = 0; i < series_list_.size(); i++) { + webrtc::analytics::DataSet* data_set = chart->add_data_sets(); + for (const auto& point : series_list_[i].points) { + data_set->add_x_values(point.x); + } + for (const auto& point : series_list_[i].points) { + data_set->add_y_values(point.y); + } + + if (series_list_[i].line_style == LineStyle::kBar) { + data_set->set_style(webrtc::analytics::ChartStyle::BAR_CHART); + } else if (series_list_[i].line_style == LineStyle::kLine) { + data_set->set_style(webrtc::analytics::ChartStyle::LINE_CHART); + } else if (series_list_[i].line_style == LineStyle::kStep) { + data_set->set_style(webrtc::analytics::ChartStyle::LINE_STEP_CHART); + } else if (series_list_[i].line_style == LineStyle::kNone) { + data_set->set_style(webrtc::analytics::ChartStyle::SCATTER_CHART); + } else { + data_set->set_style(webrtc::analytics::ChartStyle::UNDEFINED); + } + + if (series_list_[i].point_style == PointStyle::kHighlight) + data_set->set_highlight_points(true); + + data_set->set_label(series_list_[i].label); + } + + chart->set_xaxis_min(xaxis_min_); + chart->set_xaxis_max(xaxis_max_); + chart->set_yaxis_min(yaxis_min_); + chart->set_yaxis_max(yaxis_max_); + chart->set_xaxis_label(xaxis_label_); + chart->set_yaxis_label(yaxis_label_); + chart->set_title(title_); + chart->set_id(id_); + + for (const auto& kv : yaxis_tick_labels_) { + webrtc::analytics::TickLabel* tick = chart->add_yaxis_tick_labels(); + tick->set_value(kv.first); + tick->set_label(kv.second); + } +} + +void PlotCollection::PrintPythonCode(bool shared_xaxis) const { + printf("import matplotlib.pyplot as plt\n"); + printf("plt.rcParams.update({'figure.max_open_warning': 0})\n"); + printf("import matplotlib.patches as mpatches\n"); + printf("import matplotlib.patheffects as pe\n"); + printf("import colorsys\n"); + for (size_t i = 0; i < plots_.size(); i++) { + printf("plt.figure(%zu)\n", i); + if (shared_xaxis) { + // Link x-axes across all figures for synchronized zooming. + if (i == 0) { + printf("axis0 = plt.subplot(111)\n"); + } else { + printf("plt.subplot(111, sharex=axis0)\n"); + } + } + plots_[i]->PrintPythonCode(); + } + printf("plt.show()\n"); +} + +void PlotCollection::ExportProtobuf( + webrtc::analytics::ChartCollection* collection) const { + for (const auto& plot : plots_) { + webrtc::analytics::Chart* protobuf_representation = + collection->add_charts(); + plot->ExportProtobuf(protobuf_representation); + } + if (calltime_to_utc_ms_) { + collection->set_calltime_to_utc_ms(*calltime_to_utc_ms_); + } +} + +Plot* PlotCollection::AppendNewPlot() { + plots_.push_back(std::make_unique()); + return plots_.back().get(); +} + +} // namespace webrtc -- cgit v1.2.3