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// Copyright 2018 The Chromium Authors
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "third_party/blink/renderer/platform/widget/input/scroll_predictor.h"
#include "base/metrics/field_trial_params.h"
#include "base/metrics/histogram_functions.h"
#include "base/task/common/task_annotator.h"
#include "base/trace_event/trace_event.h"
#include "base/trace_event/trace_id_helper.h"
#include "base/tracing/protos/chrome_track_event.pbzero.h"
#include "third_party/blink/public/common/features.h"
#include "third_party/blink/renderer/platform/widget/input/prediction/predictor_factory.h"
#include "ui/base/ui_base_features.h"
#include "ui/latency/latency_info.h"
namespace blink {
using ::perfetto::protos::pbzero::ChromeLatencyInfo2;
ScrollPredictor::ScrollPredictor()
: metrics_handler_("Event.InputEventPrediction.Scroll") {
// Get the predictor from feature flags
std::string predictor_name = GetFieldTrialParamValueByFeature(
blink::features::kResamplingScrollEvents, "predictor");
if (predictor_name.empty())
predictor_name = ::features::kPredictorNameLinearResampling;
input_prediction::PredictorType predictor_type =
PredictorFactory::GetPredictorTypeFromName(predictor_name);
predictor_ = PredictorFactory::GetPredictor(predictor_type);
filtering_enabled_ =
base::FeatureList::IsEnabled(blink::features::kFilteringScrollPrediction);
if (filtering_enabled_) {
// Get the filter from feature flags
std::string filter_name =
blink::features::kFilteringScrollPredictionFilterParam.Get();
input_prediction::FilterType filter_type =
FilterFactory::GetFilterTypeFromName(filter_name);
filter_factory_ = std::make_unique<FilterFactory>(
blink::features::kFilteringScrollPrediction, predictor_type,
filter_type);
filter_ = filter_factory_->CreateFilter();
}
}
ScrollPredictor::~ScrollPredictor() = default;
void ScrollPredictor::ResetOnGestureScrollBegin(const WebGestureEvent& event) {
DCHECK(event.GetType() == WebInputEvent::Type::kGestureScrollBegin);
// Only do resampling for scroll on touchscreen.
if (event.SourceDevice() == WebGestureDevice::kTouchscreen) {
should_resample_scroll_events_ = true;
Reset();
}
}
std::unique_ptr<EventWithCallback> ScrollPredictor::ResampleScrollEvents(
std::unique_ptr<EventWithCallback> event_with_callback,
base::TimeTicks frame_time,
base::TimeDelta frame_interval) {
if (!should_resample_scroll_events_)
return event_with_callback;
int64_t trace_id = event_with_callback->latency_info().trace_id();
const EventWithCallback::OriginalEventList& original_events =
event_with_callback->original_events();
TRACE_EVENT(
"input,benchmark,latencyInfo", "LatencyInfo.Flow",
[&](perfetto::EventContext ctx) {
base::TaskAnnotator::EmitTaskTimingDetails(ctx);
ChromeLatencyInfo2* latency_info = ui::LatencyInfo::FillTraceEvent(
ctx, trace_id,
ChromeLatencyInfo2::Step::STEP_RESAMPLE_SCROLL_EVENTS);
for (const EventWithCallback::OriginalEventWithCallback&
coalesced_event : original_events) {
int64_t coalesced_event_trace_id =
coalesced_event.event_->latency_info().trace_id();
latency_info->add_coalesced_trace_ids(coalesced_event_trace_id);
}
});
if (event_with_callback->event().GetType() ==
WebInputEvent::Type::kGestureScrollUpdate) {
// TODO(eirage): When scroll events are coalesced with pinch, we can have
// empty original event list. In that case, we can't use the original events
// to update the prediction. We don't want to use the aggregated event to
// update because of the event time stamp, so skip the prediction for now.
if (original_events.empty() ||
event_with_callback->coalesced_scroll_and_pinch())
return event_with_callback;
for (auto& coalesced_event : original_events)
UpdatePrediction(coalesced_event.event_->Event(), frame_time);
if (should_resample_scroll_events_) {
ResampleEvent(frame_time, frame_interval,
event_with_callback->event_pointer());
// Sync the predicted `delta_y` to `metrics` for AverageLag metric.
auto* metrics = event_with_callback->metrics()
? event_with_callback->metrics()->AsScrollUpdate()
: nullptr;
if (metrics) {
WebGestureEvent* gesture_event =
static_cast<WebGestureEvent*>(event_with_callback->event_pointer());
metrics->set_predicted_delta(gesture_event->data.scroll_update.delta_y);
}
}
metrics_handler_.EvaluatePrediction();
} else if (event_with_callback->event().GetType() ==
WebInputEvent::Type::kGestureScrollEnd) {
should_resample_scroll_events_ = false;
}
return event_with_callback;
}
std::unique_ptr<EventWithCallback>
ScrollPredictor::GenerateSyntheticScrollUpdate(
base::TimeTicks frame_time,
base::TimeDelta frame_interval,
mojom::blink::GestureDevice gesture_device,
int modifiers) {
if (!HasPrediction()) {
return nullptr;
}
WebGestureEvent gesture_event(WebInputEvent::Type::kGestureScrollUpdate,
modifiers, frame_time, gesture_device);
ResampleEvent(frame_time, frame_interval, &gesture_event);
ui::LatencyInfo latency_info;
latency_info.set_trace_id(base::trace_event::GetNextGlobalTraceId());
// TODO(b/329346768): We should also add a new `BEGIN` stage, instead of
// re-using the one that is explicitly about the `content::RenderWidgetHost`.
latency_info.AddLatencyNumberWithTraceName(
ui::INPUT_EVENT_LATENCY_BEGIN_RWH_COMPONENT,
"InputLatency::GestureScrollUpdate", frame_time);
std::unique_ptr<cc::ScrollUpdateEventMetrics> metrics =
cc::ScrollUpdateEventMetrics::Create(
ui::EventType::kGestureScrollUpdate,
gesture_event.GetScrollInputType(),
/*is_inertial=*/false,
cc::ScrollUpdateEventMetrics::ScrollUpdateType::kContinued,
/*delta=*/gesture_event.data.scroll_update.delta_y,
/*timestamp=*/frame_time,
/*arrived_in_browser_main_timestamp=*/frame_time,
/*blocking_touch_dispatched_to_renderer=*/frame_time,
/*trace_id=*/
base::IdType64<class ui::LatencyInfo>(latency_info.trace_id()));
metrics->set_predicted_delta(gesture_event.data.scroll_update.delta_y);
return std::make_unique<EventWithCallback>(
std::make_unique<WebCoalescedInputEvent>(std::move(gesture_event),
latency_info),
base::BindOnce([](InputHandlerProxy::EventDisposition event_disposition,
std::unique_ptr<WebCoalescedInputEvent> event,
std::unique_ptr<InputHandlerProxy::DidOverscrollParams>
overscroll_params,
const WebInputEventAttribution& attribution,
std::unique_ptr<cc::EventMetrics> metrics) {
int64_t trace_id = event->latency_info().trace_id();
TRACE_EVENT(
"input,benchmark,latencyInfo", "LatencyInfo.Flow",
[&](perfetto::EventContext ctx) {
base::TaskAnnotator::EmitTaskTimingDetails(ctx);
ui::LatencyInfo::FillTraceEvent(
ctx, trace_id,
ChromeLatencyInfo2::Step::
STEP_DID_HANDLE_INPUT_AND_OVERSCROLL,
ChromeLatencyInfo2::InputType::GESTURE_SCROLL_UPDATE_EVENT);
});
}),
std::move(metrics));
}
bool ScrollPredictor::HasPrediction() const {
return predictor_->HasPrediction();
}
void ScrollPredictor::Reset() {
predictor_->Reset();
if (filtering_enabled_) {
filter_ = filter_factory_->CreateFilter();
}
current_event_accumulated_delta_ = gfx::PointF();
last_predicted_accumulated_delta_ = gfx::PointF();
metrics_handler_.Reset();
}
void ScrollPredictor::UpdatePrediction(const WebInputEvent& event,
base::TimeTicks frame_time) {
DCHECK(event.GetType() == WebInputEvent::Type::kGestureScrollUpdate);
const WebGestureEvent& gesture_event =
static_cast<const WebGestureEvent&>(event);
// When fling, GSU is sending per frame, resampling is not needed.
if (gesture_event.data.scroll_update.inertial_phase ==
WebGestureEvent::InertialPhaseState::kMomentum) {
should_resample_scroll_events_ = false;
return;
}
current_event_accumulated_delta_.Offset(
gesture_event.data.scroll_update.delta_x,
gesture_event.data.scroll_update.delta_y);
ui::InputPredictor::InputData data = {current_event_accumulated_delta_,
gesture_event.TimeStamp()};
predictor_->Update(data);
metrics_handler_.AddRealEvent(current_event_accumulated_delta_,
gesture_event.TimeStamp(), frame_time,
true /* Scrolling */);
}
void ScrollPredictor::ResampleEvent(base::TimeTicks frame_time,
base::TimeDelta frame_interval,
WebInputEvent* event) {
DCHECK(event->GetType() == WebInputEvent::Type::kGestureScrollUpdate);
WebGestureEvent* gesture_event = static_cast<WebGestureEvent*>(event);
TRACE_EVENT_BEGIN1("input", "ScrollPredictor::ResampleScrollEvents",
"OriginalDelta",
gfx::PointF(gesture_event->data.scroll_update.delta_x,
gesture_event->data.scroll_update.delta_y)
.ToString());
gfx::PointF predicted_accumulated_delta =
last_predicted_accumulated_delta_ +
gfx::Vector2dF(gesture_event->data.scroll_update.delta_x,
gesture_event->data.scroll_update.delta_y);
base::TimeDelta prediction_delta = frame_time - gesture_event->TimeStamp();
bool predicted = false;
// For resampling, we don't want to predict too far away because the result
// will likely be inaccurate in that case. We cut off the prediction to the
// maximum available for the current predictor
prediction_delta = std::min(prediction_delta, predictor_->MaxResampleTime());
base::TimeTicks prediction_time =
gesture_event->TimeStamp() + prediction_delta;
auto result = predictor_->GeneratePrediction(prediction_time, frame_interval);
if (result) {
predicted_accumulated_delta = result->pos;
gesture_event->SetTimeStamp(result->time_stamp);
predicted = true;
}
// Feed the filter with the first non-predicted events but only apply
// filtering on predicted events
gfx::PointF filtered_pos = predicted_accumulated_delta;
if (filtering_enabled_ && filter_->Filter(prediction_time, &filtered_pos) &&
predicted)
predicted_accumulated_delta = filtered_pos;
// If the last resampled GSU over predict the delta, new GSU might try to
// scroll back to make up the difference, which cause the scroll to jump
// back. So we set the new delta to 0 when predicted delta is in different
// direction to the original event.
gfx::Vector2dF new_delta =
predicted_accumulated_delta - last_predicted_accumulated_delta_;
gesture_event->data.scroll_update.delta_x =
(new_delta.x() * gesture_event->data.scroll_update.delta_x < 0)
? 0
: new_delta.x();
gesture_event->data.scroll_update.delta_y =
(new_delta.y() * gesture_event->data.scroll_update.delta_y < 0)
? 0
: new_delta.y();
TRACE_EVENT_END1("input", "ScrollPredictor::ResampleScrollEvents",
"PredictedDelta",
gfx::PointF(gesture_event->data.scroll_update.delta_x,
gesture_event->data.scroll_update.delta_y)
.ToString());
last_predicted_accumulated_delta_.Offset(
gesture_event->data.scroll_update.delta_x,
gesture_event->data.scroll_update.delta_y);
if (predicted) {
metrics_handler_.AddPredictedEvent(predicted_accumulated_delta,
result->time_stamp, frame_time,
true /* Scrolling */);
}
}
} // namespace blink
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