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/**
 * Test the external vision functionality
 * @author Kamil Ritz <ka.ritz@hotmail.com>
 */

#include <gtest/gtest.h>
#include "EKF/ekf.h"
#include "sensor_simulator/sensor_simulator.h"
#include "sensor_simulator/ekf_wrapper.h"
#include "test_helper/reset_logging_checker.h"


class EkfExternalVisionTest : public ::testing::Test {
 public:

	EkfExternalVisionTest(): ::testing::Test(),
	_ekf{std::make_shared<Ekf>()},
	_sensor_simulator(_ekf),
	_ekf_wrapper(_ekf) {};

	std::shared_ptr<Ekf> _ekf;
	SensorSimulator _sensor_simulator;
	EkfWrapper _ekf_wrapper;

	static constexpr float _tilt_align_time = 7.f;

	// Setup the Ekf with synthetic measurements
	void SetUp() override
	{
		_ekf->init(0);
	}

	// Use this method to clean up any memory, network etc. after each test
	void TearDown() override
	{
	}
};

TEST_F(EkfExternalVisionTest, checkVisionFusionLogic)
{
	_sensor_simulator.runSeconds(_tilt_align_time); // Let the tilt align
	_ekf_wrapper.enableExternalVisionPositionFusion();
	_sensor_simulator.startExternalVision();
	_sensor_simulator.runSeconds(2);

	EXPECT_TRUE(_ekf_wrapper.isIntendingExternalVisionPositionFusion());
	EXPECT_FALSE(_ekf_wrapper.isIntendingExternalVisionVelocityFusion());
	EXPECT_FALSE(_ekf_wrapper.isIntendingExternalVisionHeadingFusion());

	EXPECT_TRUE(_ekf->local_position_is_valid());
	EXPECT_FALSE(_ekf->global_position_is_valid());

	_ekf_wrapper.enableExternalVisionVelocityFusion();
	_sensor_simulator.runSeconds(2);

	EXPECT_TRUE(_ekf_wrapper.isIntendingExternalVisionPositionFusion());
	EXPECT_TRUE(_ekf_wrapper.isIntendingExternalVisionVelocityFusion());
	EXPECT_FALSE(_ekf_wrapper.isIntendingExternalVisionHeadingFusion());

	EXPECT_TRUE(_ekf->local_position_is_valid());
	EXPECT_FALSE(_ekf->global_position_is_valid());

	_ekf_wrapper.enableExternalVisionHeadingFusion();
	_sensor_simulator.runSeconds(2);

	EXPECT_TRUE(_ekf_wrapper.isIntendingExternalVisionPositionFusion());
	EXPECT_TRUE(_ekf_wrapper.isIntendingExternalVisionVelocityFusion());
	EXPECT_TRUE(_ekf_wrapper.isIntendingExternalVisionHeadingFusion());

	EXPECT_TRUE(_ekf->local_position_is_valid());
	EXPECT_FALSE(_ekf->global_position_is_valid());
}

TEST_F(EkfExternalVisionTest, visionVelocityReset)
{
	_sensor_simulator.runSeconds(_tilt_align_time);
	ResetLoggingChecker reset_logging_checker(_ekf);
	reset_logging_checker.capturePreResetState();

	const Vector3f simulated_velocity(0.3f, -1.0f, 0.4f);

	_sensor_simulator._vio.setVelocity(simulated_velocity);
	_ekf_wrapper.enableExternalVisionVelocityFusion();
	_sensor_simulator.startExternalVision();
	// Note: test duration needs to allow time for tilt alignment to complete
	_sensor_simulator.runMicroseconds(2e5);

	// THEN: a reset to Vision velocity should be done
	// Note: velocity will drift after reset due to INAV errors so the tolerance needs to allow for this
	const Vector3f estimated_velocity = _ekf->getVelocity();
	EXPECT_TRUE(isEqual(estimated_velocity, simulated_velocity, 0.01f));

	// AND: the reset in velocity should be saved correctly
	reset_logging_checker.capturePostResetState();
	EXPECT_TRUE(reset_logging_checker.isHorizontalVelocityResetCounterIncreasedBy(1));
	EXPECT_TRUE(reset_logging_checker.isVerticalVelocityResetCounterIncreasedBy(1));
	EXPECT_TRUE(reset_logging_checker.isVelocityDeltaLoggedCorrectly(0.01f));
}

TEST_F(EkfExternalVisionTest, visionVelocityResetWithAlignment)
{
	_sensor_simulator.runSeconds(_tilt_align_time);
	ResetLoggingChecker reset_logging_checker(_ekf);
	reset_logging_checker.capturePreResetState();
	// GIVEN: Drone is pointing north, and we use mag (ROTATE_EV)
	//        Heading of drone in EKF frame is 0°

	// WHEN: Vision frame is rotate +90°. The reported heading is -90°
	Quatf vision_to_ekf(Eulerf(0.0f,0.0f,math::radians(-90.0f)));
	_sensor_simulator._vio.setOrientation(vision_to_ekf.inversed());
	_ekf_wrapper.enableExternalVisionAlignment();

	const Vector3f simulated_velocity_in_vision_frame(0.3f, -1.0f, 0.4f);
	const Vector3f simulated_velocity_in_ekf_frame =
		Dcmf(vision_to_ekf) * simulated_velocity_in_vision_frame;
	_sensor_simulator._vio.setVelocity(simulated_velocity_in_vision_frame);
	_ekf_wrapper.enableExternalVisionVelocityFusion();
	_sensor_simulator.startExternalVision();
	_sensor_simulator.runMicroseconds(2e5);

	// THEN: a reset to Vision velocity should be done
	const Vector3f estimated_velocity_in_ekf_frame = _ekf->getVelocity();
	EXPECT_TRUE(isEqual(estimated_velocity_in_ekf_frame, simulated_velocity_in_ekf_frame, 0.01f));
	// And: the frame offset should be estimated correctly
	Quatf estimatedExternalVisionFrameOffset = _ekf->getVisionAlignmentQuaternion();
	EXPECT_TRUE(matrix::isEqual(vision_to_ekf.canonical(),
				    estimatedExternalVisionFrameOffset.canonical()));

	// AND: the reset in velocity should be saved correctly
	reset_logging_checker.capturePostResetState();
	EXPECT_TRUE(reset_logging_checker.isHorizontalVelocityResetCounterIncreasedBy(1));
	EXPECT_TRUE(reset_logging_checker.isVerticalVelocityResetCounterIncreasedBy(1));
	EXPECT_TRUE(reset_logging_checker.isVelocityDeltaLoggedCorrectly(0.01f));
}

TEST_F(EkfExternalVisionTest, visionHorizontalPositionReset)
{
	_sensor_simulator.runSeconds(_tilt_align_time);
	const Vector3f simulated_position(8.3f, -1.0f, 0.0f);

	_sensor_simulator._vio.setPosition(simulated_position);
	_ekf_wrapper.enableExternalVisionPositionFusion();
	_sensor_simulator.startExternalVision();
	_sensor_simulator.runMicroseconds(2e5);

	// THEN: a reset to Vision velocity should be done
	const Vector3f estimated_position = _ekf->getPosition();
	EXPECT_TRUE(isEqual(estimated_position, simulated_position, 1e-5f));
}

TEST_F(EkfExternalVisionTest, visionHorizontalPositionResetWithAlignment)
{
	_sensor_simulator.runSeconds(_tilt_align_time);
	// GIVEN: Drone is pointing north, and we use mag (ROTATE_EV)
	//        Heading of drone in EKF frame is 0°

	// WHEN: Vision frame is rotate +90°. The reported heading is -90°
	Quatf vision_to_ekf(Eulerf(0.0f,0.0f,math::radians(-90.0f)));
	_sensor_simulator._vio.setOrientation(vision_to_ekf.inversed());
	_ekf_wrapper.enableExternalVisionAlignment();

	const Vector3f simulated_position_in_vision_frame(8.3f, -1.0f, 0.0f);
	const Vector3f simulated_position_in_ekf_frame =
		Dcmf(vision_to_ekf) * simulated_position_in_vision_frame;
	_sensor_simulator._vio.setPosition(simulated_position_in_vision_frame);
	_ekf_wrapper.enableExternalVisionPositionFusion();
	_sensor_simulator.startExternalVision();
	_sensor_simulator.runMicroseconds(2e5);

	// THEN: a reset to Vision velocity should be done
	const Vector3f estimated_position_in_ekf_frame = _ekf->getPosition();
	EXPECT_TRUE(isEqual(estimated_position_in_ekf_frame, simulated_position_in_ekf_frame, 1e-2f));
}


TEST_F(EkfExternalVisionTest, visionVarianceCheck)
{
	_sensor_simulator.runSeconds(_tilt_align_time);
	const Vector3f velVar_init = _ekf->getVelocityVariance();
	EXPECT_NEAR(velVar_init(0), velVar_init(1), 0.0001);

	_sensor_simulator._vio.setVelocityVariance(Vector3f{2.0f,0.01f,0.01f});
	_ekf_wrapper.enableExternalVisionVelocityFusion();
	_sensor_simulator.startExternalVision();
	_sensor_simulator.runSeconds(4);

	const Vector3f velVar_new = _ekf->getVelocityVariance();
	EXPECT_TRUE(velVar_new(0) > velVar_new(1));
}

TEST_F(EkfExternalVisionTest, visionAlignment)
{
	_sensor_simulator.runSeconds(_tilt_align_time);
	// GIVEN: Drone is pointing north, and we use mag (ROTATE_EV)
	//        Heading of drone in EKF frame is 0°

	// WHEN: Vision frame is rotate +90°. The reported heading is -90°
	Quatf externalVisionFrameOffset(Eulerf(0.0f,0.0f,math::radians(90.0f)));
	_sensor_simulator._vio.setOrientation(externalVisionFrameOffset.inversed());
	_ekf_wrapper.enableExternalVisionAlignment();

	// Simulate high uncertainty on vision x axis which is in this case
	// the y EKF frame axis
	_sensor_simulator._vio.setVelocityVariance(Vector3f{2.0f,0.01f,0.01f});
	_ekf_wrapper.enableExternalVisionVelocityFusion();
	_sensor_simulator.startExternalVision();

	const Vector3f velVar_init = _ekf->getVelocityVariance();
	EXPECT_NEAR(velVar_init(0), velVar_init(1), 0.0001);

	_sensor_simulator.runSeconds(4);

	// THEN: velocity uncertainty in y should be bigger
	const Vector3f velVar_new = _ekf->getVelocityVariance();
	EXPECT_TRUE(velVar_new(1) > velVar_new(0));

	// THEN: the frame offset should be estimated correctly
	Quatf estimatedExternalVisionFrameOffset = _ekf->getVisionAlignmentQuaternion();
	EXPECT_TRUE(matrix::isEqual(externalVisionFrameOffset.canonical(),
				    estimatedExternalVisionFrameOffset.canonical()));
}

TEST_F(EkfExternalVisionTest, velocityFrameBody)
{
	// GIVEN: Drone is turned 90 degrees
	const Quatf quat_sim(Eulerf(0.0f, 0.0f, math::radians(90.0f)));
	_sensor_simulator.simulateOrientation(quat_sim);
	_sensor_simulator.runSeconds(_tilt_align_time);

	// Without any measurement x and y velocity variance are close
	const Vector3f velVar_init = _ekf->getVelocityVariance();
	EXPECT_NEAR(velVar_init(0), velVar_init(1), 0.0001);

	// WHEN: measurement is given in BODY-FRAME and
	//       x variance is bigger than y variance
	_sensor_simulator._vio.setVelocityFrameToBody();
	float vel_cov_data [9] = {2.0f, 0.0f, 0.0f,
				  0.0f, 0.01f, 0.0f,
				  0.0f, 0.0f, 0.01f};
	const Matrix3f vel_cov_body(vel_cov_data);
	const Vector3f vel_body(1.0f, 0.0f, 0.0f);
	_sensor_simulator._vio.setVelocityCovariance(vel_cov_body);
	_sensor_simulator._vio.setVelocity(vel_body);
	_ekf_wrapper.enableExternalVisionVelocityFusion();
	_sensor_simulator.startExternalVision();
	_sensor_simulator.runSeconds(4);

	// THEN: As the drone is turned 90 degrees, velocity variance
	//       along local y axis is expected to be bigger
	const Vector3f velVar_new = _ekf->getVelocityVariance();
	EXPECT_NEAR(velVar_new(1) / velVar_new(0), 80.f, 10.f);

	const Vector3f vel_earth_est = _ekf->getVelocity();
	EXPECT_NEAR(vel_earth_est(0), 0.0f, 0.1f);
	EXPECT_NEAR(vel_earth_est(1), 1.0f, 0.1f);
}

TEST_F(EkfExternalVisionTest, velocityFrameLocal)
{
	// GIVEN: Drone is turned 90 degrees
	const Quatf quat_sim(Eulerf(0.0f, 0.0f, math::radians(90.0f)));
	_sensor_simulator.simulateOrientation(quat_sim);
	_sensor_simulator.runSeconds(_tilt_align_time);

	// Without any measurement x and y velocity variance are close
	const Vector3f velVar_init = _ekf->getVelocityVariance();
	EXPECT_NEAR(velVar_init(0), velVar_init(1), 0.0001);

	// WHEN: measurement is given in LOCAL-FRAME and
	//       x variance is bigger than y variance
	_sensor_simulator._vio.setVelocityFrameToLocal();
	float vel_cov_data [9] = {2.0f, 0.0f, 0.0f,
				  0.0f, 0.01f, 0.0f,
				  0.0f, 0.0f, 0.01f};
	const Matrix3f vel_cov_earth(vel_cov_data);
	const Vector3f vel_earth(1.0f, 0.0f, 0.0f);
	_sensor_simulator._vio.setVelocityCovariance(vel_cov_earth);
	_sensor_simulator._vio.setVelocity(vel_earth);
	_ekf_wrapper.enableExternalVisionVelocityFusion();
	_sensor_simulator.startExternalVision();
	_sensor_simulator.runSeconds(4);

	// THEN: Independently on drones heading, velocity variance
	//       along local x axis is expected to be bigger
	const Vector3f velVar_new = _ekf->getVelocityVariance();
	EXPECT_NEAR(velVar_new(0) / velVar_new(1), 80.f, 10.f);

	const Vector3f vel_earth_est = _ekf->getVelocity();
	EXPECT_NEAR(vel_earth_est(0), 1.0f, 0.1f);
	EXPECT_NEAR(vel_earth_est(1), 0.0f, 0.1f);
}