|  | /* | 
|  | *  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 <algorithm> | 
|  | #include <cstddef> | 
|  | #include <cstdio> | 
|  | #include <memory> | 
|  | #include <string> | 
|  | #include <utility> | 
|  | #include <vector> | 
|  |  | 
|  | #include "absl/strings/string_view.h" | 
|  | #include "rtc_base/checks.h" | 
|  | #include "rtc_tools/rtc_event_log_visualizer/proto/chart.pb.h" | 
|  | #include "rtc_tools/rtc_event_log_visualizer/proto/chart_enums.pb.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<std::pair<float, std::string>>& 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::SetId(absl::string_view 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(absl::string_view figure_output_path) 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"); | 
|  | } | 
|  | if (!figure_output_path.empty()) { | 
|  | printf("figure_output_dir = \"%.*s\"\n", | 
|  | static_cast<int>(figure_output_path.size()), | 
|  | figure_output_path.data()); | 
|  | printf("if not os.path.exists(figure_output_dir):\n"); | 
|  | printf("  os.makedirs(figure_output_dir)\n"); | 
|  | printf( | 
|  | "figure_filename = os.path.join(figure_output_dir, " | 
|  | "fig.canvas.get_default_filename())\n"); | 
|  | printf("fig.canvas.print_png(figure_filename)\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, | 
|  | absl::string_view figure_output_path) 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"); | 
|  | printf("import os\n"); | 
|  | printf("plt.rcParams['figure.figsize'] = [10, 3]\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(figure_output_path); | 
|  | } | 
|  | if (figure_output_path.empty()) { | 
|  | 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<Plot>()); | 
|  | return plots_.back().get(); | 
|  | } | 
|  |  | 
|  | Plot* PlotCollection::AppendNewPlot(absl::string_view chart_id) { | 
|  | plots_.push_back(std::make_unique<Plot>()); | 
|  | plots_.back()->SetId(chart_id); | 
|  | return plots_.back().get(); | 
|  | } | 
|  |  | 
|  | }  // namespace webrtc |