//==============================================================================
// Copyright 2019-2020 Kitware, Inc., Kitware SAS
// Author: Cadart Nicolas (Kitware SAS)
// Creation date: 2019-10-24
//
// 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.
//==============================================================================

#ifndef LIDAR_SLAM_NODE_H
#define LIDAR_SLAM_NODE_H

// ROS
#include <ros/ros.h>
#include <tf2_ros/transform_listener.h>
#include <tf2_ros/transform_broadcaster.h>
#include <tf2_ros/static_transform_broadcaster.h>
#include <pcl_ros/point_cloud.h>
#include <nav_msgs/Odometry.h>
#include <lidar_slam/SlamCommand.h>

// SLAM
#include <LidarSlam/Slam.h>

class LidarSlamNode
{
public:

  using PointS = LidarSlam::Slam::Point;    
  using CloudS = pcl::PointCloud<PointS>;  ///< Pointcloud needed by SLAM

  //----------------------------------------------------------------------------
  /*!
   * @brief     Constructor.
   * @param[in] nh      Public ROS node handle, used to init publisher/subscribers.
   * @param[in] priv_nh Private ROS node handle, used to access parameters.
   */
  LidarSlamNode(ros::NodeHandle& nh, ros::NodeHandle& priv_nh);

  //----------------------------------------------------------------------------
  /*!
   * @brief     New lidar frame callback, running SLAM and publishing TF.
   * @param[in] cloud New Lidar Frame, published by conversion node.
   * Slam pointcloud has fields     : x, y, z, time (double), intensity (float), laser_id (uint16),  device_id (uint8), label (uint8).
   */
  virtual void ScanCallback(const CloudS::Ptr cloudS_ptr);

  //----------------------------------------------------------------------------
  /*!
   * @brief     Optional GPS odom callback, accumulating poses for SLAM/GPS calibration.
   * @param[in] msg Converted GPS pose with its associated covariance.
   */
  void GpsCallback(const nav_msgs::Odometry& msg);

  //----------------------------------------------------------------------------
  /*!
   * @brief     Receive an external command to process, such as pose graph
   *            optimization, GPS/SLAM calibration, set SLAM pose etc.
   * @param[in] msg The command message.
   */
  void SlamCommandCallback(const lidar_slam::SlamCommand& msg);

protected:

  //----------------------------------------------------------------------------
  /*!
   * @brief     Update transform offset between BASE and LIDAR using TF2
   * @param[in] lidarFrameId The input LiDAR pointcloud frame_id.
   * @param[in] pclStamp     The input pointcloud timestamp.
   */
  void UpdateBaseToLidarOffset(const std::string& lidarFrameId, uint64_t pclStamp);

  //----------------------------------------------------------------------------
  /*!
   * @brief Publish SLAM outputs as requested by user.
   * 
   * It is possible to send :
   *  - pose and covariance as Odometry msg or TF
   *  - extracted keypoints from current frame
   *  - keypoints maps
   *  - other debug info
   */
  void PublishOutput();

  //----------------------------------------------------------------------------
  /*!
   * @brief     Get and fill Slam parameters from ROS parameters server.
   * @param[in] priv_nh Private ROS node handle to access parameters.
   */
  void SetSlamParameters(ros::NodeHandle& priv_nh);

  //----------------------------------------------------------------------------
  /*!
   * @brief Run GPS/SLAM calibration from recorded GPS and SLAM poses, and
   *        publish static TF to link OdometryFrameId to GPS frame.
   */
  void GpsSlamCalibration();

  //----------------------------------------------------------------------------
  /*!
   * @brief Run pose graph optimization from GPS and SLAM poses, correcting SLAM
   *        trajectory and maps, and publish optimized LiDAR trajectory and
   *        static TF to link OdometryFrameId to GPS frame.
   */
  void PoseGraphOptimization();

  //----------------------------------------------------------------------------

  // SLAM stuff
  LidarSlam::Slam LidarSlam;
  std::vector<size_t> LaserIdMapping;

  // ROS node handles, subscribers and publishers
  ros::NodeHandle &Nh, &PrivNh;
  ros::Subscriber CloudSub;
  ros::Subscriber SlamCommandSub;
  std::unordered_map<int, ros::Publisher> Publishers;
  std::unordered_map<int, bool> Publish;

  // TF stuff
  std::string OdometryFrameId = "odom";  ///< Frame in which SLAM odometry and maps are expressed.
  std::string TrackingFrameId;           ///< Frame to track (default: input pointcloud frame_id; otherwise, ensure a valid TF tree is published).
  tf2_ros::Buffer TfBuffer;
  tf2_ros::TransformListener TfListener;
  tf2_ros::TransformBroadcaster TfBroadcaster;
  tf2_ros::StaticTransformBroadcaster StaticTfBroadcaster;

  // Optional use of GPS data to calibrate output SLAM pose to world coordinates or to run pose graph optimization (PGO).
  bool UseGps = false;                          ///< Enable GPS data logging for Pose Graph Optimization or GPS/SLAM calibration.
  std::deque<LidarSlam::Transform> GpsPoses;    ///< Buffer of last received GPS poses.
  std::deque<std::array<double, 9>> GpsCovars;  ///< Buffer of last received GPS positions covariances.
  Eigen::Isometry3d BaseToGpsOffset = Eigen::Isometry3d::Identity();  ///< Pose of the GPS antenna in BASE coordinates.
  ros::Subscriber GpsOdomSub;
};

#endif // LIDAR_SLAM_NODE_H