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/*
* Copyright (C) 2022 The Android Open Source Project
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <chrono>
#include <gmock/gmock.h>
#include <gtest/gtest.h>
#include <gui/constants.h>
#include <input/Input.h>
#include <input/MotionPredictor.h>
using namespace std::literals::chrono_literals;
namespace android {
using ::testing::IsEmpty;
using ::testing::SizeIs;
using ::testing::UnorderedElementsAre;
constexpr int32_t DOWN = AMOTION_EVENT_ACTION_DOWN;
constexpr int32_t MOVE = AMOTION_EVENT_ACTION_MOVE;
constexpr int32_t UP = AMOTION_EVENT_ACTION_UP;
constexpr nsecs_t NSEC_PER_MSEC = 1'000'000;
static MotionEvent getMotionEvent(int32_t action, float x, float y,
std::chrono::nanoseconds eventTime, int32_t deviceId = 0) {
MotionEvent event;
constexpr size_t pointerCount = 1;
std::vector<PointerProperties> pointerProperties;
std::vector<PointerCoords> pointerCoords;
for (size_t i = 0; i < pointerCount; i++) {
PointerProperties properties;
properties.clear();
properties.id = i;
properties.toolType = ToolType::STYLUS;
pointerProperties.push_back(properties);
PointerCoords coords;
coords.clear();
coords.setAxisValue(AMOTION_EVENT_AXIS_X, x);
coords.setAxisValue(AMOTION_EVENT_AXIS_Y, y);
pointerCoords.push_back(coords);
}
ui::Transform identityTransform;
event.initialize(InputEvent::nextId(), deviceId, AINPUT_SOURCE_STYLUS, ADISPLAY_ID_DEFAULT, {0},
action, /*actionButton=*/0, /*flags=*/0, AMOTION_EVENT_EDGE_FLAG_NONE,
AMETA_NONE, /*buttonState=*/0, MotionClassification::NONE, identityTransform,
/*xPrecision=*/0.1,
/*yPrecision=*/0.2, /*xCursorPosition=*/280, /*yCursorPosition=*/540,
identityTransform, /*downTime=*/100, eventTime.count(), pointerCount,
pointerProperties.data(), pointerCoords.data());
return event;
}
TEST(MotionPredictorTest, IsPredictionAvailable) {
MotionPredictor predictor(/*predictionTimestampOffsetNanos=*/0,
[]() { return true /*enable prediction*/; });
ASSERT_TRUE(predictor.isPredictionAvailable(/*deviceId=*/1, AINPUT_SOURCE_STYLUS));
ASSERT_FALSE(predictor.isPredictionAvailable(/*deviceId=*/1, AINPUT_SOURCE_TOUCHSCREEN));
}
TEST(MotionPredictorTest, StationaryNoiseFloor) {
MotionPredictor predictor(/*predictionTimestampOffsetNanos=*/1,
[]() { return true /*enable prediction*/; });
predictor.record(getMotionEvent(DOWN, 0, 1, 30ms));
predictor.record(getMotionEvent(MOVE, 0, 1, 35ms)); // No movement.
std::unique_ptr<MotionEvent> predicted = predictor.predict(40 * NSEC_PER_MSEC);
ASSERT_EQ(nullptr, predicted);
}
TEST(MotionPredictorTest, Offset) {
MotionPredictor predictor(/*predictionTimestampOffsetNanos=*/1,
[]() { return true /*enable prediction*/; });
predictor.record(getMotionEvent(DOWN, 0, 1, 30ms));
predictor.record(getMotionEvent(MOVE, 0, 5, 35ms)); // Move enough to overcome the noise floor.
std::unique_ptr<MotionEvent> predicted = predictor.predict(40 * NSEC_PER_MSEC);
ASSERT_NE(nullptr, predicted);
ASSERT_GE(predicted->getEventTime(), 41);
}
TEST(MotionPredictorTest, FollowsGesture) {
MotionPredictor predictor(/*predictionTimestampOffsetNanos=*/0,
[]() { return true /*enable prediction*/; });
// MOVE without a DOWN is ignored.
predictor.record(getMotionEvent(MOVE, 1, 3, 10ms));
EXPECT_EQ(nullptr, predictor.predict(20 * NSEC_PER_MSEC));
predictor.record(getMotionEvent(DOWN, 2, 5, 20ms));
predictor.record(getMotionEvent(MOVE, 2, 7, 30ms));
predictor.record(getMotionEvent(MOVE, 3, 9, 40ms));
EXPECT_NE(nullptr, predictor.predict(50 * NSEC_PER_MSEC));
predictor.record(getMotionEvent(UP, 4, 11, 50ms));
EXPECT_EQ(nullptr, predictor.predict(20 * NSEC_PER_MSEC));
}
TEST(MotionPredictorTest, MultipleDevicesNotSupported) {
MotionPredictor predictor(/*predictionTimestampOffsetNanos=*/0,
[]() { return true /*enable prediction*/; });
ASSERT_TRUE(predictor.record(getMotionEvent(DOWN, 1, 3, 0ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 1, 3, 10ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 2, 5, 20ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 3, 7, 30ms, /*deviceId=*/0)).ok());
ASSERT_FALSE(predictor.record(getMotionEvent(DOWN, 100, 300, 40ms, /*deviceId=*/1)).ok());
ASSERT_FALSE(predictor.record(getMotionEvent(MOVE, 100, 300, 50ms, /*deviceId=*/1)).ok());
}
TEST(MotionPredictorTest, IndividualGesturesFromDifferentDevicesAreSupported) {
MotionPredictor predictor(/*predictionTimestampOffsetNanos=*/0,
[]() { return true /*enable prediction*/; });
ASSERT_TRUE(predictor.record(getMotionEvent(DOWN, 1, 3, 0ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 1, 3, 10ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 2, 5, 20ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(UP, 2, 5, 30ms, /*deviceId=*/0)).ok());
// Now, send a gesture from a different device. Since we have no active gesture, the new gesture
// should be processed correctly.
ASSERT_TRUE(predictor.record(getMotionEvent(DOWN, 100, 300, 40ms, /*deviceId=*/1)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 100, 300, 50ms, /*deviceId=*/1)).ok());
}
TEST(MotionPredictorTest, FlagDisablesPrediction) {
MotionPredictor predictor(/*predictionTimestampOffsetNanos=*/0,
[]() { return false /*disable prediction*/; });
predictor.record(getMotionEvent(DOWN, 0, 1, 30ms));
predictor.record(getMotionEvent(MOVE, 0, 1, 35ms));
std::unique_ptr<MotionEvent> predicted = predictor.predict(40 * NSEC_PER_MSEC);
ASSERT_EQ(nullptr, predicted);
ASSERT_FALSE(predictor.isPredictionAvailable(/*deviceId=*/1, AINPUT_SOURCE_STYLUS));
ASSERT_FALSE(predictor.isPredictionAvailable(/*deviceId=*/1, AINPUT_SOURCE_TOUCHSCREEN));
}
using AtomFields = MotionPredictorMetricsManager::AtomFields;
using ReportAtomFunction = MotionPredictorMetricsManager::ReportAtomFunction;
// Creates a mock atom reporting function that appends the reported atom to the given vector.
// The passed-in pointer must not be nullptr.
ReportAtomFunction createMockReportAtomFunction(std::vector<AtomFields>* reportedAtomFields) {
return [reportedAtomFields](const AtomFields& atomFields) -> void {
reportedAtomFields->push_back(atomFields);
};
}
TEST(MotionPredictorMetricsManagerIntegrationTest, ReportsMetrics) {
std::vector<AtomFields> reportedAtomFields;
MotionPredictor predictor(/*predictionTimestampOffsetNanos=*/0,
[]() { return true /*enable prediction*/; },
createMockReportAtomFunction(&reportedAtomFields));
ASSERT_TRUE(predictor.record(getMotionEvent(DOWN, 1, 1, 0ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 2, 2, 4ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 3, 3, 8ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 4, 4, 12ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 5, 5, 16ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(MOVE, 6, 6, 20ms, /*deviceId=*/0)).ok());
ASSERT_TRUE(predictor.record(getMotionEvent(UP, 7, 7, 24ms, /*deviceId=*/0)).ok());
// The number of atoms reported should equal the number of prediction time buckets, which is
// given by the prediction model's output length. For now, this value is always 5, and we
// hardcode it because it's not publicly accessible from the MotionPredictor.
EXPECT_EQ(5u, reportedAtomFields.size());
}
} // namespace android
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