#include "model_buffer.hh"

#include "compare.hh"
#include "../state.hh"
#include "../weights.hh"
#include "../../util/exception.hh"
#include "../../util/file_stream.hh"
#include "../../util/file.hh"
#include "../../util/file_piece.hh"
#include "../../util/stream/io.hh"
#include "../../util/stream/multi_stream.hh"

#include <boost/lexical_cast.hpp>

#include <numeric>

namespace lm {

namespace {
const char kMetadataHeader[] = "KenLM intermediate binary file";
} // namespace

ModelBuffer::ModelBuffer(StringPiece file_base, bool keep_buffer, bool output_q)
  : file_base_(file_base.data(), file_base.size()), keep_buffer_(keep_buffer), output_q_(output_q),
    vocab_file_(keep_buffer ? util::CreateOrThrow((file_base_ + ".vocab").c_str()) : util::MakeTemp(file_base_)) {}

ModelBuffer::ModelBuffer(StringPiece file_base)
  : file_base_(file_base.data(), file_base.size()), keep_buffer_(false) {
  const std::string full_name = file_base_ + ".kenlm_intermediate";
  util::FilePiece in(full_name.c_str());
  StringPiece token = in.ReadLine();
  UTIL_THROW_IF2(token != kMetadataHeader, "File " << full_name << " begins with \"" << token << "\" not " << kMetadataHeader);

  token = in.ReadDelimited();
  UTIL_THROW_IF2(token != "Counts", "Expected Counts, got \"" << token << "\" in " << full_name);
  char got;
  while ((got = in.get()) == ' ') {
    counts_.push_back(in.ReadULong());
  }
  UTIL_THROW_IF2(got != '\n', "Expected newline at end of counts.");

  token = in.ReadDelimited();
  UTIL_THROW_IF2(token != "Payload", "Expected Payload, got \"" << token << "\" in " << full_name);
  token = in.ReadDelimited();
  if (token == "q") {
    output_q_ = true;
  } else if (token == "pb") {
    output_q_ = false;
  } else {
    UTIL_THROW(util::Exception, "Unknown payload " << token);
  }

  vocab_file_.reset(util::OpenReadOrThrow((file_base_ + ".vocab").c_str()));

  files_.Init(counts_.size());
  for (unsigned long i = 0; i < counts_.size(); ++i) {
    files_.push_back(util::OpenReadOrThrow((file_base_ + '.' + boost::lexical_cast<std::string>(i + 1)).c_str()));
  }
}

void ModelBuffer::Sink(util::stream::Chains &chains, const std::vector<uint64_t> &counts) {
  counts_ = counts;
  // Open files.
  files_.Init(chains.size());
  for (std::size_t i = 0; i < chains.size(); ++i) {
    if (keep_buffer_) {
      files_.push_back(util::CreateOrThrow(
            (file_base_ + '.' + boost::lexical_cast<std::string>(i + 1)).c_str()
            ));
    } else {
      files_.push_back(util::MakeTemp(file_base_));
    }
    chains[i] >> util::stream::Write(files_.back().get());
  }
  if (keep_buffer_) {
    util::scoped_fd metadata(util::CreateOrThrow((file_base_ + ".kenlm_intermediate").c_str()));
    util::FileStream meta(metadata.get(), 200);
    meta << kMetadataHeader << "\nCounts";
    for (std::vector<uint64_t>::const_iterator i = counts_.begin(); i != counts_.end(); ++i) {
      meta << ' ' << *i;
    }
    meta << "\nPayload " << (output_q_ ? "q" : "pb") << '\n';
  }
}

void ModelBuffer::Source(util::stream::Chains &chains) {
  assert(chains.size() <= files_.size());
  for (unsigned int i = 0; i < chains.size(); ++i) {
    chains[i].SetProgressTarget(util::SizeOrThrow(files_[i].get()));
    chains[i] >> util::stream::PRead(files_[i].get());
  }
}

void ModelBuffer::Source(std::size_t order_minus_1, util::stream::Chain &chain) {
  chain >> util::stream::PRead(files_[order_minus_1].get());
}

float ModelBuffer::SlowQuery(const ngram::State &context, WordIndex word, ngram::State &out) const {
  // Lookup unigram.
  ProbBackoff value;
  util::ErsatzPRead(RawFile(0), &value, sizeof(value), word * (sizeof(WordIndex) + sizeof(value)) + sizeof(WordIndex));
  out.backoff[0] = value.backoff;
  out.words[0] = word;
  out.length = 1;

  std::vector<WordIndex> buffer(context.length + 1), query(context.length + 1);
  std::reverse_copy(context.words, context.words + context.length, query.begin());
  query[context.length] = word;

  for (std::size_t order = 2; order <= query.size() && order <= context.length + 1; ++order) {
    SuffixOrder less(order);
    const WordIndex *key = &*query.end() - order;
    int file = RawFile(order - 1);
    std::size_t length = order * sizeof(WordIndex) + sizeof(ProbBackoff);
    // TODO: cache file size?
    uint64_t begin = 0, end = util::SizeOrThrow(file) / length;
    while (true) {
      if (end <= begin) {
        // Did not find for order.
        return std::accumulate(context.backoff + out.length - 1, context.backoff + context.length, value.prob);
      }
      uint64_t test = begin + (end - begin) / 2;
      util::ErsatzPRead(file, &*buffer.begin(), sizeof(WordIndex) * order, test * length);

      if (less(&*buffer.begin(), key)) {
        begin = test + 1;
      } else if (less(key, &*buffer.begin())) {
        end = test;
      } else {
        // Found it.
        util::ErsatzPRead(file, &value, sizeof(value), test * length + sizeof(WordIndex) * order);
        if (order != Order()) {
          out.length = order;
          out.backoff[order - 1] = value.backoff;
          out.words[order - 1] = *key;
        }
        break;
      }
    }
  }
  return value.prob;
}

} // namespace