lokinet/llarp/dht/bucket.hpp

#ifndef LLARP_DHT_BUCKET_HPP
#define LLARP_DHT_BUCKET_HPP

#include <dht/kademlia.hpp>
#include <dht/key.hpp>
#include <util/status.hpp>

#include <map>
#include <set>
#include <vector>

namespace llarp
{
  namespace dht
  {
    template <typename Val_t>
    struct Bucket
    {
      using BucketStorage_t = std::map<Key_t, Val_t, XorMetric>;
      using Random_t = std::function<uint64_t()>;

      Bucket(const Key_t& us, Random_t r) : nodes(XorMetric(us)), random(std::move(r))
      {
      }

      util::StatusObject
      ExtractStatus() const
      {
        util::StatusObject obj{};
        for (const auto& item : nodes)
        {
          obj[item.first.ToString()] = item.second.ExtractStatus();
        }
        return obj;
      }

      size_t
      size() const
      {
        return nodes.size();
      }

      struct SetIntersector
      {
        bool
        operator()(const typename BucketStorage_t::value_type& lhs, const Key_t& rhs)
        {
          return lhs.first < rhs;
        }

        bool
        operator()(const Key_t& lhs, const typename BucketStorage_t::value_type& rhs)
        {
          return lhs < rhs.first;
        }
      };

      bool
      GetRandomNodeExcluding(Key_t& result, const std::set<Key_t>& exclude) const
      {
        std::vector<typename BucketStorage_t::value_type> candidates;
        std::set_difference(
            nodes.begin(),
            nodes.end(),
            exclude.begin(),
            exclude.end(),
            std::back_inserter(candidates),
            SetIntersector());

        if (candidates.empty())
        {
          return false;
        }
        result = candidates[random() % candidates.size()].first;
        return true;
      }

      bool
      FindClosest(const Key_t& target, Key_t& result) const
      {
        Key_t mindist;
        mindist.Fill(0xff);
        for (const auto& item : nodes)
        {
          auto curDist = item.first ^ target;
          if (curDist < mindist)
          {
            mindist = curDist;
            result = item.first;
          }
        }
        return nodes.size() > 0;
      }

      bool
      GetManyRandom(std::set<Key_t>& result, size_t N) const
      {
        if (nodes.size() < N || nodes.empty())
        {
          llarp::LogWarn("Not enough dht nodes, have ", nodes.size(), " want ", N);
          return false;
        }
        if (nodes.size() == N)
        {
          std::transform(
              nodes.begin(), nodes.end(), std::inserter(result, result.end()), [](const auto& a) {
                return a.first;
              });

          return true;
        }
        size_t expecting = N;
        size_t sz = nodes.size();
        while (N)
        {
          auto itr = nodes.begin();
          std::advance(itr, random() % sz);
          if (result.insert(itr->first).second)
          {
            --N;
          }
        }
        return result.size() == expecting;
      }

      bool
      FindCloseExcluding(const Key_t& target, Key_t& result, const std::set<Key_t>& exclude) const
      {
        Key_t maxdist;
        maxdist.Fill(0xff);
        Key_t mindist;
        mindist.Fill(0xff);
        for (const auto& item : nodes)
        {
          if (exclude.count(item.first))
          {
            continue;
          }

          auto curDist = item.first ^ target;
          if (curDist < mindist)
          {
            mindist = curDist;
            result = item.first;
          }
        }
        return mindist < maxdist;
      }

      bool
      GetManyNearExcluding(
          const Key_t& target,
          std::set<Key_t>& result,
          size_t N,
          const std::set<Key_t>& exclude) const
      {
        std::set<Key_t> s(exclude.begin(), exclude.end());

        Key_t peer;
        while (N--)
        {
          if (!FindCloseExcluding(target, peer, s))
          {
            return false;
          }
          s.insert(peer);
          result.insert(peer);
        }
        return true;
      }

      void
      PutNode(const Val_t& val)
      {
        auto itr = nodes.find(val.ID);
        if (itr == nodes.end() || itr->second < val)
        {
          nodes[val.ID] = val;
        }
      }

      void
      DelNode(const Key_t& key)
      {
        auto itr = nodes.find(key);
        if (itr != nodes.end())
        {
          nodes.erase(itr);
        }
      }

      bool
      HasNode(const Key_t& key) const
      {
        return nodes.find(key) != nodes.end();
      }

      // remove all nodes who's key matches a predicate
      template <typename Predicate>
      void
      RemoveIf(Predicate pred)
      {
        auto itr = nodes.begin();
        while (itr != nodes.end())
        {
          if (pred(itr->first))
            itr = nodes.erase(itr);
          else
            ++itr;
        }
      }

      template <typename Visit_t>
      void
      ForEachNode(Visit_t visit)
      {
        for (const auto& item : nodes)
        {
          visit(item.second);
        }
      }

      void
      Clear()
      {
        nodes.clear();
      }

      BucketStorage_t nodes;
      Random_t random;
    };
  }  // namespace dht
}  // namespace llarp
#endif