blob: 3a6d2f4f736ef1135f59a35399b01ecf4a1347bd [file] [log] [blame]
// Copyright 2014 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include <stddef.h>
#include <stdint.h>
#include <algorithm>
#include <cmath>
#include <iterator>
#include <map>
#include <vector>
#include "base/command_line.h"
#include "base/macros.h"
#include "base/memory/ptr_util.h"
#include "base/strings/string_number_conversions.h"
#include "base/strings/stringprintf.h"
#include "base/test/trace_event_analyzer.h"
#include "base/time/default_tick_clock.h"
#include "build/build_config.h"
#include "chrome/browser/extensions/extension_apitest.h"
#include "chrome/browser/extensions/extension_service.h"
#include "chrome/browser/extensions/tab_helper.h"
#include "chrome/common/chrome_switches.h"
#include "chrome/test/base/test_launcher_utils.h"
#include "chrome/test/base/test_switches.h"
#include "chrome/test/base/tracing.h"
#include "content/public/common/content_switches.h"
#include "extensions/common/switches.h"
#include "extensions/test/extension_test_message_listener.h"
#include "media/base/audio_bus.h"
#include "media/base/video_frame.h"
#include "media/cast/test/skewed_tick_clock.h"
#include "media/cast/test/utility/audio_utility.h"
#include "media/cast/test/utility/barcode.h"
#include "media/cast/test/utility/default_config.h"
#include "media/cast/test/utility/in_process_receiver.h"
#include "media/cast/test/utility/net_utility.h"
#include "media/cast/test/utility/standalone_cast_environment.h"
#include "media/cast/test/utility/udp_proxy.h"
#include "net/base/ip_address.h"
#include "net/base/ip_endpoint.h"
#include "net/base/net_errors.h"
#include "net/base/rand_callback.h"
#include "net/log/net_log_source.h"
#include "net/socket/udp_server_socket.h"
#include "testing/gtest/include/gtest/gtest.h"
#include "testing/perf/perf_test.h"
#include "ui/compositor/compositor_switches.h"
#include "ui/gl/gl_switches.h"
#if defined(OS_WIN)
#include "base/win/windows_version.h"
#endif
namespace {
constexpr char kExtensionId[] = "ddchlicdkolnonkihahngkmmmjnjlkkf";
// Number of events to trim from the begining and end. These events don't
// contribute anything toward stable measurements: A brief moment of startup
// "jank" is acceptable, and shutdown may result in missing events (e.g., if
// streaming stops a few frames before capture stops).
constexpr size_t kTrimEvents = 24; // 1 sec at 24fps, or 0.4 sec at 60 fps.
// Minimum number of events required for a reasonable analysis.
constexpr size_t kMinDataPoints = 100; // 1 sec of audio, or ~5 sec at 24fps.
enum TestFlags {
kUseGpu = 1 << 0, // Only execute test if --enable-gpu was given
// on the command line. This is required for
// tests that run on GPU.
kSmallWindow = 1 << 2, // Window size: 1 = 800x600, 0 = 2000x1000
k24fps = 1 << 3, // Use 24 fps video.
k30fps = 1 << 4, // Use 30 fps video.
k60fps = 1 << 5, // Use 60 fps video (captured at 30 fps).
kProxyWifi = 1 << 6, // Run UDP through UDPProxy wifi profile.
kProxySlow = 1 << 7, // Run UDP through UDPProxy slow profile.
kProxyBad = 1 << 8, // Run UDP through UDPProxy bad profile.
kSlowClock = 1 << 9, // Receiver clock is 10 seconds slow.
kFastClock = 1 << 10, // Receiver clock is 10 seconds fast.
kAutoThrottling = 1 << 11, // Use auto-resolution/framerate throttling.
};
// These are just for testing! Use cryptographically-secure random keys in
// production code!
static constexpr char kAesKey[16] = {0, 1, 2, 3, 4, 5, 6, 7,
8, 9, 10, 11, 12, 13, 14, 15};
static constexpr char kAesIvMask[16] = {15, 14, 13, 12, 11, 10, 9, 8,
7, 6, 5, 4, 3, 2, 1, 0};
media::cast::FrameReceiverConfig WithAesKeyAndIvSet(
const media::cast::FrameReceiverConfig& config) {
media::cast::FrameReceiverConfig result = config;
result.aes_key = std::string(kAesKey, kAesKey + sizeof(kAesKey));
result.aes_iv_mask = std::string(kAesIvMask, kAesIvMask + sizeof(kAesIvMask));
return result;
}
class SkewedCastEnvironment : public media::cast::StandaloneCastEnvironment {
public:
explicit SkewedCastEnvironment(const base::TimeDelta& delta)
: StandaloneCastEnvironment(),
skewed_clock_(base::DefaultTickClock::GetInstance()) {
// If testing with a receiver clock that is ahead or behind the sender
// clock, fake a clock that is offset and also ticks at a rate of 50 parts
// per million faster or slower than the local sender's clock. This is the
// worst-case scenario for skew in-the-wild.
if (!delta.is_zero()) {
const double skew = delta < base::TimeDelta() ? 0.999950 : 1.000050;
skewed_clock_.SetSkew(skew, delta);
}
clock_ = &skewed_clock_;
}
protected:
~SkewedCastEnvironment() override {}
private:
media::cast::test::SkewedTickClock skewed_clock_;
};
// We log one of these for each call to OnAudioFrame/OnVideoFrame.
struct TimeData {
TimeData(uint16_t frame_no_, base::TimeTicks playout_time_)
: frame_no(frame_no_), playout_time(playout_time_) {}
// The unit here is video frames, for audio data there can be duplicates.
// This was decoded from the actual audio/video data.
uint16_t frame_no;
// This is when we should play this data, according to the sender.
base::TimeTicks playout_time;
};
// TODO(hubbe): Move to media/cast to use for offline log analysis.
class MeanAndError {
public:
explicit MeanAndError(const std::vector<double>& values) {
double sum = 0.0;
double sqr_sum = 0.0;
num_values_ = values.size();
if (num_values_ > 0) {
for (size_t i = 0; i < num_values_; i++) {
sum += values[i];
sqr_sum += values[i] * values[i];
}
mean_ = sum / num_values_;
std_dev_ =
sqrt(std::max(0.0, num_values_ * sqr_sum - sum * sum)) / num_values_;
} else {
mean_ = NAN;
std_dev_ = NAN;
}
}
std::string AsString() const {
return base::StringPrintf("%f,%f", mean_, std_dev_);
}
void Print(const std::string& measurement,
const std::string& modifier,
const std::string& trace,
const std::string& unit) {
if (num_values_ >= 20) {
perf_test::PrintResultMeanAndError(measurement,
modifier,
trace,
AsString(),
unit,
true);
} else {
LOG(ERROR) << "Not enough events (" << num_values_ << ") for "
<< measurement << modifier << " " << trace;
}
}
private:
size_t num_values_;
double mean_;
double std_dev_;
};
// This function checks how smooth the data in |data| is.
// It computes the average error of deltas and the average delta.
// If data[x] == x * A + B, then this function returns zero.
// The unit is milliseconds.
static MeanAndError AnalyzeJitter(const std::vector<TimeData>& data) {
CHECK_GT(data.size(), 1UL);
VLOG(0) << "Jitter analysis on " << data.size() << " values.";
std::vector<double> deltas;
double sum = 0.0;
for (size_t i = 1; i < data.size(); i++) {
double delta =
(data[i].playout_time - data[i - 1].playout_time).InMillisecondsF();
deltas.push_back(delta);
sum += delta;
}
double mean = sum / deltas.size();
for (size_t i = 0; i < deltas.size(); i++) {
deltas[i] = fabs(mean - deltas[i]);
}
return MeanAndError(deltas);
}
// An in-process Cast receiver that examines the audio/video frames being
// received and logs some data about each received audio/video frame.
class TestPatternReceiver : public media::cast::InProcessReceiver {
public:
explicit TestPatternReceiver(
const scoped_refptr<media::cast::CastEnvironment>& cast_environment,
const net::IPEndPoint& local_end_point)
: InProcessReceiver(
cast_environment,
local_end_point,
net::IPEndPoint(),
WithAesKeyAndIvSet(media::cast::GetDefaultAudioReceiverConfig()),
WithAesKeyAndIvSet(media::cast::GetDefaultVideoReceiverConfig())) {}
typedef std::map<uint16_t, base::TimeTicks> TimeMap;
// Build a map from frame ID (as encoded in the audio and video data)
// to the rtp timestamp for that frame. Note that there will be multiple
// audio frames which all have the same frame ID. When that happens we
// want the minimum rtp timestamp, because that audio frame is supposed
// to play at the same time that the corresponding image is presented.
void MapFrameTimes(const std::vector<TimeData>& events, TimeMap* map) {
for (size_t i = kTrimEvents; i < events.size() - kTrimEvents; i++) {
base::TimeTicks& frame_tick = (*map)[events[i].frame_no];
if (frame_tick.is_null()) {
frame_tick = events[i].playout_time;
} else {
frame_tick = std::min(events[i].playout_time, frame_tick);
}
}
}
void Analyze(const std::string& name, const std::string& modifier) {
// First, find the minimum rtp timestamp for each audio and video frame.
// Note that the data encoded in the audio stream contains video frame
// numbers. So in a 30-fps video stream, there will be 1/30s of "1", then
// 1/30s of "2", etc.
TimeMap audio_frame_times, video_frame_times;
MapFrameTimes(audio_events_, &audio_frame_times);
EXPECT_GE(audio_frame_times.size(), kMinDataPoints);
MapFrameTimes(video_events_, &video_frame_times);
EXPECT_GE(video_frame_times.size(), kMinDataPoints);
std::vector<double> deltas;
for (TimeMap::const_iterator i = audio_frame_times.begin();
i != audio_frame_times.end();
++i) {
TimeMap::const_iterator j = video_frame_times.find(i->first);
if (j != video_frame_times.end()) {
deltas.push_back((i->second - j->second).InMillisecondsF());
}
}
EXPECT_GE(deltas.size(), kMinDataPoints);
// Close to zero is better. (can be negative)
MeanAndError(deltas).Print(name, modifier, "av_sync", "ms");
// lower is better.
AnalyzeJitter(audio_events_).Print(name, modifier, "audio_jitter", "ms");
// lower is better.
AnalyzeJitter(video_events_).Print(name, modifier, "video_jitter", "ms");
// Mean resolution of video at receiver. Lower stddev is better, while the
// mean should be something reasonable given the network constraints
// (usually 480 lines or more). Note that this is the video resolution at
// the receiver, but changes originate on the sender side.
std::vector<double> slice_for_analysis;
if (video_frame_lines_.size() > kTrimEvents * 2) {
slice_for_analysis.reserve(video_frame_lines_.size() - kTrimEvents * 2);
EXPECT_GE(slice_for_analysis.capacity(), kMinDataPoints);
std::transform(video_frame_lines_.begin() + kTrimEvents,
video_frame_lines_.end() - kTrimEvents,
std::back_inserter(slice_for_analysis),
[](int lines) { return static_cast<double>(lines); });
}
MeanAndError(slice_for_analysis)
.Print(name, modifier, "playout_resolution", "lines");
// Number of resolution changes. Lower is better (and 1 is ideal). Zero
// indicates a lack of data.
int last_lines = -1;
int change_count = 0;
for (size_t i = kTrimEvents; i < video_frame_lines_.size() - kTrimEvents;
++i) {
if (video_frame_lines_[i] != last_lines) {
++change_count;
last_lines = video_frame_lines_[i];
}
}
EXPECT_GT(change_count, 0);
perf_test::PrintResult(name, modifier, "resolution_changes",
base::IntToString(change_count), "count", true);
}
private:
// Invoked by InProcessReceiver for each received audio frame.
void OnAudioFrame(std::unique_ptr<media::AudioBus> audio_frame,
const base::TimeTicks& playout_time,
bool is_continuous) override {
CHECK(cast_env()->CurrentlyOn(media::cast::CastEnvironment::MAIN));
if (audio_frame->frames() <= 0) {
NOTREACHED() << "OnAudioFrame called with no samples?!?";
return;
}
// Note: This is the number of the video frame that this audio belongs to.
uint16_t frame_no;
if (media::cast::DecodeTimestamp(audio_frame->channel(0),
audio_frame->frames(),
&frame_no)) {
audio_events_.push_back(TimeData(frame_no, playout_time));
} else {
DVLOG(2) << "Failed to decode audio timestamp!";
}
}
void OnVideoFrame(const scoped_refptr<media::VideoFrame>& video_frame,
const base::TimeTicks& playout_time,
bool is_continuous) override {
CHECK(cast_env()->CurrentlyOn(media::cast::CastEnvironment::MAIN));
TRACE_EVENT_INSTANT1("cast_perf_test", "VideoFramePlayout",
TRACE_EVENT_SCOPE_THREAD, "playout_time",
(playout_time - base::TimeTicks()).InMicroseconds());
uint16_t frame_no;
if (media::cast::test::DecodeBarcode(video_frame, &frame_no)) {
video_events_.push_back(TimeData(frame_no, playout_time));
} else {
DVLOG(2) << "Failed to decode barcode!";
}
video_frame_lines_.push_back(video_frame->visible_rect().height());
}
std::vector<TimeData> audio_events_;
std::vector<TimeData> video_events_;
// The height (number of lines) of each video frame received.
std::vector<int> video_frame_lines_;
DISALLOW_COPY_AND_ASSIGN(TestPatternReceiver);
};
class CastV2PerformanceTest
: public ExtensionApiTest,
public testing::WithParamInterface<int> {
public:
CastV2PerformanceTest() {}
bool HasFlag(TestFlags flag) const {
return (GetParam() & flag) == flag;
}
bool IsGpuAvailable() const {
return base::CommandLine::ForCurrentProcess()->HasSwitch("enable-gpu");
}
std::string GetSuffixForTestFlags() {
std::string suffix;
if (HasFlag(kUseGpu))
suffix += "_gpu";
if (HasFlag(kSmallWindow))
suffix += "_small";
if (HasFlag(k24fps))
suffix += "_24fps";
if (HasFlag(k30fps))
suffix += "_30fps";
if (HasFlag(k60fps))
suffix += "_60fps";
if (HasFlag(kProxyWifi))
suffix += "_wifi";
if (HasFlag(kProxySlow))
suffix += "_slowwifi";
if (HasFlag(kProxyBad))
suffix += "_bad";
if (HasFlag(kSlowClock))
suffix += "_slow";
if (HasFlag(kFastClock))
suffix += "_fast";
if (HasFlag(kAutoThrottling))
suffix += "_autothrottling";
return suffix;
}
int getfps() {
if (HasFlag(k24fps))
return 24;
if (HasFlag(k30fps))
return 30;
if (HasFlag(k60fps))
return 60;
NOTREACHED();
return 0;
}
void SetUp() override {
EnablePixelOutput();
if (!HasFlag(kUseGpu))
UseSoftwareCompositing();
ExtensionApiTest::SetUp();
}
void SetUpCommandLine(base::CommandLine* command_line) override {
// Some of the tests may launch http requests through JSON or AJAX
// which causes a security error (cross domain request) when the page
// is loaded from the local file system ( file:// ). The following switch
// fixes that error.
command_line->AppendSwitch(switches::kAllowFileAccessFromFiles);
if (HasFlag(kSmallWindow)) {
command_line->AppendSwitchASCII(switches::kWindowSize, "800,600");
} else {
command_line->AppendSwitchASCII(switches::kWindowSize, "2000,1500");
}
if (!HasFlag(kUseGpu))
command_line->AppendSwitch(switches::kDisableGpu);
command_line->AppendSwitchASCII(
extensions::switches::kWhitelistedExtensionID,
kExtensionId);
ExtensionApiTest::SetUpCommandLine(command_line);
}
void GetTraceEvents(trace_analyzer::TraceAnalyzer* analyzer,
const std::string& event_name,
trace_analyzer::TraceEventVector* events) {
trace_analyzer::Query query =
trace_analyzer::Query::EventNameIs(event_name) &&
(trace_analyzer::Query::EventPhaseIs(TRACE_EVENT_PHASE_BEGIN) ||
trace_analyzer::Query::EventPhaseIs(TRACE_EVENT_PHASE_ASYNC_BEGIN) ||
trace_analyzer::Query::EventPhaseIs(TRACE_EVENT_PHASE_FLOW_BEGIN) ||
trace_analyzer::Query::EventPhaseIs(TRACE_EVENT_PHASE_INSTANT) ||
trace_analyzer::Query::EventPhaseIs(TRACE_EVENT_PHASE_COMPLETE));
analyzer->FindEvents(query, events);
VLOG(0) << "Retrieved " << events->size() << " events for: " << event_name;
}
// The key contains the name of the argument and the argument.
typedef std::pair<std::string, double> EventMapKey;
typedef std::map<EventMapKey, const trace_analyzer::TraceEvent*> EventMap;
// Make events findable by their arguments, for instance, if an
// event has a "timestamp": 238724 argument, the map will contain
// pair<"timestamp", 238724> -> &event. All arguments are indexed.
void IndexEvents(trace_analyzer::TraceAnalyzer* analyzer,
const std::string& event_name,
EventMap* event_map) {
trace_analyzer::TraceEventVector events;
GetTraceEvents(analyzer, event_name, &events);
for (size_t i = 0; i < events.size(); i++) {
std::map<std::string, double>::const_iterator j;
for (j = events[i]->arg_numbers.begin();
j != events[i]->arg_numbers.end();
++j) {
(*event_map)[*j] = events[i];
}
}
}
// Look up an event in |event_map|. The return event will have the same
// value for the argument |key_name| as |prev_event|.
const trace_analyzer::TraceEvent* FindNextEvent(
const EventMap& event_map,
const trace_analyzer::TraceEvent* prev_event,
std::string key_name) {
const auto arg_it = prev_event->arg_numbers.find(key_name);
if (arg_it == prev_event->arg_numbers.end())
return nullptr;
const EventMapKey& key = *arg_it;
const auto event_it = event_map.find(key);
if (event_it == event_map.end())
return nullptr;
return event_it->second;
}
// Given a vector of vector of data, extract the difference between
// two columns (|col_a| and |col_b|) and output the result as a
// performance metric.
void OutputMeasurement(const std::string& test_name,
const std::vector<std::vector<double>>& data,
const std::string& measurement_name,
int col_a,
int col_b) {
std::vector<double> tmp;
for (size_t i = 0; i < data.size(); i++) {
tmp.push_back((data[i][col_b] - data[i][col_a]) / 1000.0);
}
return MeanAndError(tmp).Print(test_name,
GetSuffixForTestFlags(),
measurement_name,
"ms");
}
// Analyze the latency of each frame as it goes from capture to playout. The
// event tracing system is used to track the frames.
void AnalyzeLatency(const std::string& test_name,
trace_analyzer::TraceAnalyzer* analyzer) {
// Retrieve and index all "checkpoint" events related to frames progressing
// from start to finish.
trace_analyzer::TraceEventVector capture_events;
// Sender side:
GetTraceEvents(analyzer, "Capture", &capture_events);
EventMap onbuffer, sink, inserted, encoded, transmitted, decoded, done;
IndexEvents(analyzer, "OnBufferReceived", &onbuffer);
IndexEvents(analyzer, "ConsumeVideoFrame", &sink);
IndexEvents(analyzer, "InsertRawVideoFrame", &inserted);
IndexEvents(analyzer, "VideoFrameEncoded", &encoded);
// Receiver side:
IndexEvents(analyzer, "PullEncodedVideoFrame", &transmitted);
IndexEvents(analyzer, "VideoFrameDecoded", &decoded);
IndexEvents(analyzer, "VideoFramePlayout", &done);
// Analyzing latency is non-trivial, because only the frame timestamps
// uniquely identify frames AND the timestamps take varying forms throughout
// the pipeline (TimeTicks, TimeDelta, RtpTimestamp, etc.). Luckily, each
// neighboring stage in the pipeline knows about the timestamp from the
// prior stage, in whatever form it had, and so it's possible to track
// specific frames all the way from capture until playout at the receiver.
std::vector<std::pair<EventMap*, std::string>> event_maps;
event_maps.push_back(std::make_pair(&onbuffer, "timestamp"));
event_maps.push_back(std::make_pair(&sink, "time_delta"));
event_maps.push_back(std::make_pair(&inserted, "timestamp"));
event_maps.push_back(std::make_pair(&encoded, "rtp_timestamp"));
event_maps.push_back(std::make_pair(&transmitted, "rtp_timestamp"));
event_maps.push_back(std::make_pair(&decoded, "rtp_timestamp"));
event_maps.push_back(std::make_pair(&done, "playout_time"));
// For each "begin capture" event, search for all the events following it,
// producing a matrix of when each frame reached each pipeline checkpoint.
// See the "cheat sheet" below for a description of each pipeline
// checkpoint.
ASSERT_GT(capture_events.size(), 2 * kTrimEvents);
std::vector<std::vector<double>> traced_frames;
for (size_t i = kTrimEvents; i < capture_events.size() - kTrimEvents; i++) {
std::vector<double> times;
const trace_analyzer::TraceEvent* event = capture_events[i];
if (!event->other_event)
continue; // Begin capture event without a corresponding end event.
times.push_back(event->timestamp); // begin capture
event = event->other_event;
times.push_back(event->timestamp); // end capture
const trace_analyzer::TraceEvent* prev_event = event;
for (size_t j = 0; j < event_maps.size(); j++) {
event = FindNextEvent(*event_maps[j].first, prev_event,
event_maps[j].second);
if (!event)
break; // Missing an event: The frame was dropped along the way.
prev_event = event;
times.push_back(event->timestamp);
}
if (event) {
// Successfully traced frame from beginning to end.
traced_frames.push_back(std::move(times));
}
}
// Report the fraction of captured frames that were dropped somewhere along
// the way (i.e., before playout at the receiver).
const size_t capture_event_count = capture_events.size() - 2 * kTrimEvents;
EXPECT_GE(capture_event_count, kMinDataPoints);
const double success_percent =
100.0 * traced_frames.size() / capture_event_count;
perf_test::PrintResult(
test_name, GetSuffixForTestFlags(), "frame_drop_rate",
base::StringPrintf("%f", 100 - success_percent), "percent", true);
// Report the latency between various pairs of checkpoints in the pipeline.
// Lower latency is better for all of these measurements.
//
// Cheat sheet:
// 0 = Sender: capture begin
// 1 = Sender: capture end
// 2 = Sender: memory buffer reached the render process
// 3 = Sender: frame routed to Cast RTP consumer
// 4 = Sender: frame reached VideoSender::InsertRawVideoFrame()
// 5 = Sender: frame encoding complete, queueing for transmission
// 6 = Receiver: frame fully received from network
// 7 = Receiver: frame decoded
// 8 = Receiver: frame played out
OutputMeasurement(test_name, traced_frames, "total_latency", 0, 8);
OutputMeasurement(test_name, traced_frames, "capture_duration", 0, 1);
OutputMeasurement(test_name, traced_frames, "send_to_renderer", 1, 3);
OutputMeasurement(test_name, traced_frames, "encode", 3, 5);
OutputMeasurement(test_name, traced_frames, "transmit", 5, 6);
OutputMeasurement(test_name, traced_frames, "decode", 6, 7);
OutputMeasurement(test_name, traced_frames, "cast_latency", 3, 8);
}
MeanAndError AnalyzeTraceDistance(trace_analyzer::TraceAnalyzer* analyzer,
const std::string& event_name) {
trace_analyzer::TraceEventVector events;
GetTraceEvents(analyzer, event_name, &events);
std::vector<double> deltas;
for (size_t i = kTrimEvents + 1; i < events.size() - kTrimEvents; ++i) {
double delta_micros = events[i]->timestamp - events[i - 1]->timestamp;
deltas.push_back(delta_micros / 1000.0);
}
return MeanAndError(deltas);
}
void RunTest(const std::string& test_name) {
if (HasFlag(kUseGpu) && !IsGpuAvailable()) {
LOG(WARNING) <<
"Test skipped: requires gpu. Pass --enable-gpu on the command "
"line if use of GPU is desired.";
return;
}
ASSERT_EQ(1,
(HasFlag(k24fps) ? 1 : 0) +
(HasFlag(k30fps) ? 1 : 0) +
(HasFlag(k60fps) ? 1 : 0));
net::IPEndPoint receiver_end_point = media::cast::test::GetFreeLocalPort();
// Start the in-process receiver that examines audio/video for the expected
// test patterns.
base::TimeDelta delta = base::TimeDelta::FromSeconds(0);
if (HasFlag(kFastClock)) {
delta = base::TimeDelta::FromSeconds(10);
}
if (HasFlag(kSlowClock)) {
delta = base::TimeDelta::FromSeconds(-10);
}
scoped_refptr<media::cast::StandaloneCastEnvironment> cast_environment(
new SkewedCastEnvironment(delta));
TestPatternReceiver* const receiver =
new TestPatternReceiver(cast_environment, receiver_end_point);
receiver->Start();
std::unique_ptr<media::cast::test::UDPProxy> udp_proxy;
if (HasFlag(kProxyWifi) || HasFlag(kProxySlow) || HasFlag(kProxyBad)) {
net::IPEndPoint proxy_end_point = media::cast::test::GetFreeLocalPort();
if (HasFlag(kProxyWifi)) {
udp_proxy = media::cast::test::UDPProxy::Create(
proxy_end_point, receiver_end_point,
media::cast::test::WifiNetwork(), media::cast::test::WifiNetwork(),
nullptr);
} else if (HasFlag(kProxySlow)) {
udp_proxy = media::cast::test::UDPProxy::Create(
proxy_end_point, receiver_end_point,
media::cast::test::SlowNetwork(), media::cast::test::SlowNetwork(),
nullptr);
} else if (HasFlag(kProxyBad)) {
udp_proxy = media::cast::test::UDPProxy::Create(
proxy_end_point, receiver_end_point,
media::cast::test::BadNetwork(), media::cast::test::BadNetwork(),
nullptr);
}
receiver_end_point = proxy_end_point;
}
std::string json_events;
ASSERT_TRUE(tracing::BeginTracing("gpu.capture,cast_perf_test"));
const std::string page_url = base::StringPrintf(
"performance%d.html?port=%d&autoThrottling=%s&aesKey=%s&aesIvMask=%s",
getfps(), receiver_end_point.port(),
HasFlag(kAutoThrottling) ? "true" : "false",
base::HexEncode(kAesKey, sizeof(kAesKey)).c_str(),
base::HexEncode(kAesIvMask, sizeof(kAesIvMask)).c_str());
ASSERT_TRUE(RunExtensionSubtest("cast_streaming", page_url)) << message_;
ASSERT_TRUE(tracing::EndTracing(&json_events));
receiver->Stop();
// Stop all threads, removes the need for synchronization when analyzing
// the data.
cast_environment->Shutdown();
std::unique_ptr<trace_analyzer::TraceAnalyzer> analyzer;
analyzer.reset(trace_analyzer::TraceAnalyzer::Create(json_events));
analyzer->AssociateAsyncBeginEndEvents();
// This prints out the average time between capture events.
// Depending on the test, the capture frame rate is capped (e.g., at 30fps,
// this score cannot get any better than 33.33 ms). However, the measurement
// is important since it provides a valuable check that capture can keep up
// with the content's framerate.
MeanAndError capture_data = AnalyzeTraceDistance(analyzer.get(), "Capture");
// Lower is better.
capture_data.Print(test_name,
GetSuffixForTestFlags(),
"time_between_captures",
"ms");
receiver->Analyze(test_name, GetSuffixForTestFlags());
AnalyzeLatency(test_name, analyzer.get());
}
};
} // namespace
#if defined(OS_WIN)
#define MAYBE_Performance DISABLED_Performance
#else
#define MAYBE_Performance Performance
#endif
IN_PROC_BROWSER_TEST_P(CastV2PerformanceTest, MAYBE_Performance) {
RunTest("CastV2Performance");
}
// Note: First argument is optional and intentionally left blank.
// (it's a prefix for the generated test cases)
INSTANTIATE_TEST_CASE_P(
,
CastV2PerformanceTest,
testing::Values(kUseGpu | k24fps,
kUseGpu | k30fps,
kUseGpu | k60fps,
kUseGpu | k30fps | kProxyWifi,
kUseGpu | k30fps | kProxyBad,
kUseGpu | k30fps | kSlowClock,
kUseGpu | k30fps | kFastClock,
kUseGpu | k30fps | kProxyWifi | kAutoThrottling,
kUseGpu | k30fps | kProxySlow | kAutoThrottling,
kUseGpu | k30fps | kProxyBad | kAutoThrottling));