Added -show_detector_state which show the detector state in the total bitrate graph.

webrtc/tools/event_log_visualizer/analyzer.cc

 /*
  *  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.
  */
 
@@ skipping 865 matching lines @@
   plot->SetXAxis(0, call_duration_s_, "Time (s)", kLeftMargin, kRightMargin);
   plot->SetSuggestedYAxis(0, 10, "Percent lost packets", kBottomMargin,
                           kTopMargin);
   plot->SetTitle("Reported packet loss");
   plot->AppendTimeSeries(std::move(time_series));
 }
 
 // Plot the total bandwidth used by all RTP streams.
 void EventLogAnalyzer::CreateTotalBitrateGraph(
     PacketDirection desired_direction,
-    Plot* plot) {
+    Plot* plot,
+    bool show_detector_state) {
   struct TimestampSize {
     TimestampSize(uint64_t t, size_t s) : timestamp(t), size(s) {}
     uint64_t timestamp;
     size_t size;
   };
   std::vector<TimestampSize> packets;
 
   PacketDirection direction;
   size_t total_length;
 
@@ skipping 39 matching lines @@
   // Overlay the send-side bandwidth estimate over the outgoing bitrate.
   if (desired_direction == kOutgoingPacket) {
     TimeSeries loss_series("Loss-based estimate", LINE_STEP_GRAPH);
     for (auto& loss_update : bwe_loss_updates_) {
       float x =
           static_cast<float>(loss_update.timestamp - begin_time_) / 1000000;
       float y = static_cast<float>(loss_update.new_bitrate) / 1000;
       loss_series.points.emplace_back(x, y);
     }
 
+    TimeSeries overusing_series("Overusing", VSPAN_GRAPH);
+    overusing_series.color = "#ff8e82";
+    TimeSeries underusing_series("Underusing", VSPAN_GRAPH);
+    underusing_series.color = "#5092fc";
+    TimeSeries normal_series("Normal", VSPAN_GRAPH);
+    normal_series.color = "#c4ffc4";
+    normal_series.points.emplace_back(0, 0);
     TimeSeries delay_series("Delay-based estimate", LINE_STEP_GRAPH);
+    TimeSeries* last_series = &normal_series;
+    BandwidthUsage detector_state = BandwidthUsage::kBwNormal;
+
     for (auto& delay_update : bwe_delay_updates_) {
       float x =
           static_cast<float>(delay_update.timestamp - begin_time_) / 1000000;
       float y = static_cast<float>(delay_update.bitrate_bps) / 1000;
+
+      if (detector_state != delay_update.detector_state) {
+        RTC_CHECK(last_series);
+        last_series->points.emplace_back(x, 0);
+        last_series = nullptr;
+      }
+
+      switch (delay_update.detector_state) {
+        case BandwidthUsage::kBwNormal:
+          if (detector_state != BandwidthUsage::kBwNormal) {
+            normal_series.points.emplace_back(x, 0);
+            last_series = &normal_series;
+            detector_state = delay_update.detector_state;
+          }
+          break;
+        case BandwidthUsage::kBwUnderusing:
+          if (detector_state != BandwidthUsage::kBwUnderusing) {
+            underusing_series.points.emplace_back(x, 0);
+            last_series = &underusing_series;
+            detector_state = delay_update.detector_state;
+          }
+          break;
+        case BandwidthUsage::kBwOverusing:
+          if (detector_state != BandwidthUsage::kBwOverusing) {
+            overusing_series.points.emplace_back(x, 0);
+            last_series = &overusing_series;
+            detector_state = delay_update.detector_state;
+          }
+          break;
+      }
+
       delay_series.points.emplace_back(x, y);
     }
 
+    RTC_CHECK(last_series);
+    last_series->points.emplace_back(end_time_, 0);
+
     TimeSeries created_series("Probe cluster created.", DOT_GRAPH);
     for (auto& cluster : bwe_probe_cluster_created_events_) {
       float x = static_cast<float>(cluster.timestamp - begin_time_) / 1000000;
       float y = static_cast<float>(cluster.bitrate_bps) / 1000;
       created_series.points.emplace_back(x, y);
     }
 
     TimeSeries result_series("Probing results.", DOT_GRAPH);
     for (auto& result : bwe_probe_result_events_) {
       if (result.bitrate_bps) {
         float x = static_cast<float>(result.timestamp - begin_time_) / 1000000;
         float y = static_cast<float>(*result.bitrate_bps) / 1000;
         result_series.points.emplace_back(x, y);
       }
     }
+
+    if (show_detector_state) {
+      plot->AppendTimeSeries(std::move(underusing_series));
+      plot->AppendTimeSeries(std::move(normal_series));
+      plot->AppendTimeSeries(std::move(overusing_series));
+    }
+
+    plot->AppendTimeSeries(std::move(bitrate_series));
     plot->AppendTimeSeries(std::move(loss_series));
     plot->AppendTimeSeries(std::move(delay_series));
     plot->AppendTimeSeries(std::move(created_series));
     plot->AppendTimeSeries(std::move(result_series));
   }
 
   plot->SetXAxis(0, call_duration_s_, "Time (s)", kLeftMargin, kRightMargin);
   plot->SetSuggestedYAxis(0, 1, "Bitrate (kbps)", kBottomMargin, kTopMargin);
   if (desired_direction == webrtc::PacketDirection::kIncomingPacket) {
     plot->SetTitle("Incoming RTP bitrate");
@@ skipping 409 matching lines @@
       },
       audio_network_adaptation_events_, begin_time_, &time_series);
   plot->AppendTimeSeries(std::move(time_series));
   plot->SetXAxis(0, call_duration_s_, "Time (s)", kLeftMargin, kRightMargin);
   plot->SetSuggestedYAxis(0, 1, "Number of channels (1 (mono)/2 (stereo))",
                           kBottomMargin, kTopMargin);
   plot->SetTitle("Reported audio encoder number of channels");
 }
 }  // namespace plotting
 }  // namespace webrtc