#ifndef CPPJIEBA_DICT_TRIE_HPP #define CPPJIEBA_DICT_TRIE_HPP #include #include #include #include #include #include #include #include #include #include "utils/limonp/StringUtil.hpp" #include "utils/limonp/Logging.hpp" #include "utils/memory_utils.hpp" #include "Unicode.hpp" #include "Trie.hpp" namespace cppjieba { const double MIN_DOUBLE = -3.14e+100; const double MAX_DOUBLE = 3.14e+100; const size_t DICT_COLUMN_NUM = 3; const char* const UNKNOWN_TAG = ""; class DictTrie { public: enum UserWordWeightOption { WordWeightMin, WordWeightMedian, WordWeightMax, }; // enum UserWordWeightOption DictTrie(const std::string& dict_path, const std::string& user_dict_paths = "", UserWordWeightOption user_word_weight_opt = WordWeightMedian) { Init(dict_path, user_dict_paths, user_word_weight_opt); } ~DictTrie() { delete trie_; } bool InsertUserWord(const std::string& word, const std::string& tag = UNKNOWN_TAG) { DictUnit node_info; if (!MakeNodeInfo(node_info, word, user_word_default_weight_, tag)) { return false; } active_node_infos_.push_back(node_info); trie_->InsertNode(node_info.word, &active_node_infos_.back()); return true; } bool InsertUserWord(const std::string& word,int freq, const std::string& tag = UNKNOWN_TAG) { DictUnit node_info; double weight = freq ? log(1.0 * freq / freq_sum_) : user_word_default_weight_ ; if (!MakeNodeInfo(node_info, word, weight , tag)) { return false; } active_node_infos_.push_back(node_info); trie_->InsertNode(node_info.word, &active_node_infos_.back()); return true; } bool DeleteUserWord(const std::string& word, const std::string& tag = UNKNOWN_TAG) { DictUnit node_info; if (!MakeNodeInfo(node_info, word, user_word_default_weight_, tag)) { return false; } trie_->DeleteNode(node_info.word, &node_info); return true; } const DictUnit* Find(RuneStrArray::const_iterator begin, RuneStrArray::const_iterator end) const { return trie_->Find(begin, end); } void Find(RuneStrArray::const_iterator begin, RuneStrArray::const_iterator end, std::vector&res, size_t max_word_len = MAX_WORD_LENGTH) const { trie_->Find(begin, end, res, max_word_len); } bool Find(const std::string& word) { const DictUnit *tmp = NULL; RuneStrArray runes; if (!DecodeUTF8RunesInString(word, runes)) { XLOG(ERROR) << "Decode failed."; } tmp = Find(runes.begin(), runes.end()); if (tmp == NULL) { return false; } else { return true; } } bool IsUserDictSingleChineseWord(const Rune& word) const { return IsIn(user_dict_single_chinese_word_, word); } double GetMinWeight() const { return min_weight_; } void InserUserDictNode(const std::string& line) { std::vector buf; DictUnit node_info; limonp::Split(line, buf, " "); if(buf.size() == 1){ MakeNodeInfo(node_info, buf[0], user_word_default_weight_, UNKNOWN_TAG); } else if (buf.size() == 2) { MakeNodeInfo(node_info, buf[0], user_word_default_weight_, buf[1]); } else if (buf.size() == 3) { int freq = atoi(buf[1].c_str()); assert(freq_sum_ > 0.0); double weight = log(1.0 * freq / freq_sum_); MakeNodeInfo(node_info, buf[0], weight, buf[2]); } static_node_infos_.push_back(node_info); if (node_info.word.size() == 1) { user_dict_single_chinese_word_.insert(node_info.word[0]); } } void LoadUserDict(const std::vector& buf) { for (size_t i = 0; i < buf.size(); i++) { InserUserDictNode(buf[i]); } } void LoadUserDict(const std::set& buf) { std::set::const_iterator iter; for (iter = buf.begin(); iter != buf.end(); iter++){ InserUserDictNode(*iter); } } void LoadUserDict(const std::string& filePaths) { std::vector files = limonp::Split(filePaths, "|;"); for (size_t i = 0; i < files.size(); i++) { std::ifstream ifs(files[i].c_str()); XCHECK(ifs.is_open()) << "open " << files[i] << " failed"; std::string line; while(getline(ifs, line)) { if (line.size() == 0) { continue; } InserUserDictNode(line); } } } private: void Init(const std::string& dict_path, const std::string& user_dict_paths, UserWordWeightOption user_word_weight_opt) { LoadDict(dict_path); freq_sum_ = CalcFreqSum(static_node_infos_); CalculateWeight(static_node_infos_, freq_sum_); SetStaticWordWeights(user_word_weight_opt); if (user_dict_paths.size()) { LoadUserDict(user_dict_paths); } Shrink(static_node_infos_); CreateTrie(static_node_infos_); } void CreateTrie(const std::vector& dictUnits) { assert(dictUnits.size()); std::vector words; std::vector valuePointers; for (size_t i = 0 ; i < dictUnits.size(); i ++) { words.push_back(dictUnits[i].word); valuePointers.push_back(&dictUnits[i]); } trie_ = new Trie(words, valuePointers); } bool MakeNodeInfo(DictUnit& node_info, const std::string& word, double weight, const std::string& tag) { if (!DecodeUTF8RunesInString(word, node_info.word)) { XLOG(ERROR) << "UTF-8 decode failed for dict word: " << word; return false; } node_info.weight = weight; node_info.tag = tag; return true; } void LoadDict(const std::string& filePath) { #ifdef AX_TTS_JIEBA_USE_MMAP { MMap mm(filePath.c_str()); XCHECK(mm.data() != nullptr) << "mmap " << filePath << " failed."; const char* data = reinterpret_cast(mm.data()); size_t size = mm.size(); size_t start = 0; std::vector buf; DictUnit node_info; for (size_t i = 0; i <= size; i++) { if (i == size || data[i] == '\n') { size_t len = (i > start && data[i - 1] == '\r') ? (i - start - 1) : (i - start); if (len > 0) { std::string line(data + start, len); limonp::Split(line, buf, " "); XCHECK(buf.size() == DICT_COLUMN_NUM) << "split result illegal, line:" << line; MakeNodeInfo(node_info, buf[0], atof(buf[1].c_str()), buf[2]); static_node_infos_.push_back(node_info); } start = i + 1; } } mm.close_file(); return; } #endif std::ifstream ifs(filePath.c_str()); XCHECK(ifs.is_open()) << "open " << filePath << " failed."; std::string line; std::vector buf; DictUnit node_info; while (getline(ifs, line)) { limonp::Split(line, buf, " "); XCHECK(buf.size() == DICT_COLUMN_NUM) << "split result illegal, line:" << line; MakeNodeInfo(node_info, buf[0], atof(buf[1].c_str()), buf[2]); static_node_infos_.push_back(node_info); } } static bool WeightCompare(const DictUnit& lhs, const DictUnit& rhs) { return lhs.weight < rhs.weight; } void SetStaticWordWeights(UserWordWeightOption option) { XCHECK(!static_node_infos_.empty()); std::vector x = static_node_infos_; std::sort(x.begin(), x.end(), WeightCompare); min_weight_ = x[0].weight; max_weight_ = x[x.size() - 1].weight; median_weight_ = x[x.size() / 2].weight; switch (option) { case WordWeightMin: user_word_default_weight_ = min_weight_; break; case WordWeightMedian: user_word_default_weight_ = median_weight_; break; default: user_word_default_weight_ = max_weight_; break; } } double CalcFreqSum(const std::vector& node_infos) const { double sum = 0.0; for (size_t i = 0; i < node_infos.size(); i++) { sum += node_infos[i].weight; } return sum; } void CalculateWeight(std::vector& node_infos, double sum) const { assert(sum > 0.0); for (size_t i = 0; i < node_infos.size(); i++) { DictUnit& node_info = node_infos[i]; assert(node_info.weight > 0.0); node_info.weight = log(double(node_info.weight)/sum); } } void Shrink(std::vector& units) const { std::vector(units.begin(), units.end()).swap(units); } std::vector static_node_infos_; std::deque active_node_infos_; // must not be std::vector Trie * trie_; double freq_sum_; double min_weight_; double max_weight_; double median_weight_; double user_word_default_weight_; std::unordered_set user_dict_single_chinese_word_; }; } #endif