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/* Author: Ioan Sucan */

#include "ompl/geometric/planners/rrt/RRT.h"
#include "ompl/base/goals/GoalSampleableRegion.h"
#include "ompl/tools/config/SelfConfig.h"
#include <limits>

ompl::geometric::RRT::RRT(const base::SpaceInformationPtr &si) : base::Planner(si, "RRT")
{
    specs_.approximateSolutions = true;
    specs_.directed = true;

    goalBias_ = 0.05;
    maxDistance_ = 0.0;
    lastGoalMotion_ = NULL;

    Planner::declareParam<double>("range", this, &RRT::setRange, &RRT::getRange, "0.:1.:10000.");
    Planner::declareParam<double>("goal_bias", this, &RRT::setGoalBias, &RRT::getGoalBias, "0.:.05:1.");
}

ompl::geometric::RRT::~RRT(void)
{
    freeMemory();
}

void ompl::geometric::RRT::clear(void)
{
    Planner::clear();
    sampler_.reset();
    freeMemory();
    if (nn_)
        nn_->clear();
    lastGoalMotion_ = NULL;
}

void ompl::geometric::RRT::setup(void)
{
    Planner::setup();
    tools::SelfConfig sc(si_, getName());
    sc.configurePlannerRange(maxDistance_);

    if (!nn_)
        nn_.reset(tools::SelfConfig::getDefaultNearestNeighbors<Motion*>(si_->getStateSpace()));
    nn_->setDistanceFunction(boost::bind(&RRT::distanceFunction, this, _1, _2));
}

void ompl::geometric::RRT::freeMemory(void)
{
    if (nn_)
    {
        std::vector<Motion*> motions;
        nn_->list(motions);
        for (unsigned int i = 0 ; i < motions.size() ; ++i)
        {
            if (motions[i]->state)
                si_->freeState(motions[i]->state);
            delete motions[i];
        }
    }
}

ompl::base::PlannerStatus ompl::geometric::RRT::solve(const base::PlannerTerminationCondition &ptc)
{
    checkValidity();
    base::Goal                 *goal   = pdef_->getGoal().get();
    base::GoalSampleableRegion *goal_s = dynamic_cast<base::GoalSampleableRegion*>(goal);

    while (const base::State *st = pis_.nextStart())
    {
        Motion *motion = new Motion(si_);
        si_->copyState(motion->state, st);
        nn_->add(motion);
    }

    if (nn_->size() == 0)
    {
        OMPL_ERROR("%s: There are no valid initial states!", getName().c_str());
        return base::PlannerStatus::INVALID_START;
    }

    if (!sampler_)
        sampler_ = si_->allocStateSampler();

    OMPL_INFORM("%s: Starting with %u states", getName().c_str(), nn_->size());

    Motion *solution  = NULL;
    Motion *approxsol = NULL;
    double  approxdif = std::numeric_limits<double>::infinity();
    Motion *rmotion   = new Motion(si_);
    base::State *rstate = rmotion->state;
    base::State *xstate = si_->allocState();

    while (ptc == false)
    {

        /* sample random state (with goal biasing) */
        if (goal_s && rng_.uniform01() < goalBias_ && goal_s->canSample())
            goal_s->sampleGoal(rstate);
        else
            sampler_->sampleUniform(rstate);

        /* find closest state in the tree */
        Motion *nmotion = nn_->nearest(rmotion);
        base::State *dstate = rstate;

        /* find state to add */
        double d = si_->distance(nmotion->state, rstate);
        if (d > maxDistance_)
        {
            si_->getStateSpace()->interpolate(nmotion->state, rstate, maxDistance_ / d, xstate);
            dstate = xstate;
        }

        if (si_->checkMotion(nmotion->state, dstate))
        {
            /* create a motion */
            Motion *motion = new Motion(si_);
            si_->copyState(motion->state, dstate);
            motion->parent = nmotion;

            nn_->add(motion);
            double dist = 0.0;
            bool sat = goal->isSatisfied(motion->state, &dist);
            if (sat)
            {
                approxdif = dist;
                solution = motion;
                break;
            }
            if (dist < approxdif)
            {
                approxdif = dist;
                approxsol = motion;
            }
        }
    }

    bool solved = false;
    bool approximate = false;
    if (solution == NULL)
    {
        solution = approxsol;
        approximate = true;
    }

    if (solution != NULL)
    {
        lastGoalMotion_ = solution;

        /* construct the solution path */
        std::vector<Motion*> mpath;
        while (solution != NULL)
        {
            mpath.push_back(solution);
            solution = solution->parent;
        }

        /* set the solution path */
        PathGeometric *path = new PathGeometric(si_);
           for (int i = mpath.size() - 1 ; i >= 0 ; --i)
            path->append(mpath[i]->state);
        pdef_->addSolutionPath(base::PathPtr(path), approximate, approxdif);
        solved = true;
    }

    si_->freeState(xstate);
    if (rmotion->state)
        si_->freeState(rmotion->state);
    delete rmotion;

    OMPL_INFORM("%s: Created %u states", getName().c_str(), nn_->size());

    return base::PlannerStatus(solved, approximate);
}

void ompl::geometric::RRT::getPlannerData(base::PlannerData &data) const
{
    Planner::getPlannerData(data);

    std::vector<Motion*> motions;
    if (nn_)
        nn_->list(motions);

    if (lastGoalMotion_)
        data.addGoalVertex(base::PlannerDataVertex(lastGoalMotion_->state));

    for (unsigned int i = 0 ; i < motions.size() ; ++i)
    {
        if (motions[i]->parent == NULL)
            data.addStartVertex(base::PlannerDataVertex(motions[i]->state));
        else
            data.addEdge(base::PlannerDataVertex(motions[i]->parent->state),
                         base::PlannerDataVertex(motions[i]->state));
    }
}
