ukui-search/libchinese-segmentation/cppjieba/DictTrie.hpp

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#pragma once
#include <iostream>
#include <fstream>
#include <map>
#include <string>
#include <cstring>
#include <cstdlib>
#include <stdint.h>
#include <cmath>
#include <limits>
#include "limonp/StringUtil.hpp"
#include "limonp/Logging.hpp"
#include "Unicode.hpp"
#include "DatTrie.hpp"
#include <QDebug>
namespace cppjieba {
using namespace limonp;
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 string& dict_path, const string& user_dict_paths = "", const string & dat_cache_path = "",
UserWordWeightOption user_word_weight_opt = WordWeightMedian) {
Init(dict_path, user_dict_paths, dat_cache_path, user_word_weight_opt);
}
~DictTrie() {}
const DatMemElem* Find(const string & word) const {
return dat_.Find(word);
}
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void FindDatDag(RuneStrArray::const_iterator begin,
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RuneStrArray::const_iterator end,
vector<struct DatDag>&res,
size_t max_word_len = MAX_WORD_LENGTH) const {
dat_.Find(begin, end, res, max_word_len);
}
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void FindWordRange(RuneStrArray::const_iterator begin,
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RuneStrArray::const_iterator end,
vector<WordRange>& words,
size_t max_word_len = MAX_WORD_LENGTH) const {
dat_.Find(begin, end, words, max_word_len);
}
bool IsUserDictSingleChineseWord(const Rune& word) const {
return IsIn(user_dict_single_chinese_word_, word);
}
double GetMinWeight() const {
return dat_.GetMinWeight();
}
size_t GetTotalDictSize() const {
return total_dict_size_;
}
void InserUserDictNode(const string& line, bool saveNodeInfo = true) {
vector<string> buf;
DatElement node_info;
Split(line, buf, " ");
if (buf.size() == 0) {
return;
}
node_info.word = buf[0];
node_info.weight = user_word_default_weight_;
node_info.tag = UNKNOWN_TAG;
if (buf.size() == 2) {
node_info.tag = buf[1];
} else if (buf.size() == 3) {
if (freq_sum_ > 0.0) {
const int freq = atoi(buf[1].c_str());
node_info.weight = log(1.0 * freq / freq_sum_);
node_info.tag = buf[2];
}
}
if (saveNodeInfo) {
static_node_infos_.push_back(node_info);
}
if (Utf8CharNum(node_info.word) == 1) {
RuneArray word;
if (DecodeRunesInString(node_info.word, word)) {
user_dict_single_chinese_word_.insert(word[0]);
} else {
XLOG(ERROR) << "Decode " << node_info.word << " failed.";
}
}
}
void LoadUserDict(const string& filePaths, bool saveNodeInfo = true) {
vector<string> files = limonp::Split(filePaths, "|;");
for (size_t i = 0; i < files.size(); i++) {
ifstream ifs(files[i].c_str());
XCHECK(ifs.is_open()) << "open " << files[i] << " failed";
string line;
for (; getline(ifs, line);) {
if (line.size() == 0) {
continue;
}
InserUserDictNode(line, saveNodeInfo);
}
}
}
private:
void Init(const string& dict_path, const string& user_dict_paths, string dat_cache_path,
UserWordWeightOption user_word_weight_opt) {
const auto dict_list = dict_path + "|" + user_dict_paths;
size_t file_size_sum = 0;
const string md5 = CalcFileListMD5(dict_list, file_size_sum);
total_dict_size_ = file_size_sum;
if (dat_cache_path.empty()) {
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dat_cache_path = "/tmp/" + md5 + ".dat_";//未指定词库数据文件存储位置的默认存储在tmp目录下
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}
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dat_cache_path += VERSION;
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QString path = QString::fromStdString(dat_cache_path);
qDebug() << "#########Dict path:" << path;
if (dat_.InitAttachDat(dat_cache_path, md5)) {
LoadUserDict(user_dict_paths, false); // for load user_dict_single_chinese_word_;
return;
}
LoadDefaultDict(dict_path);
freq_sum_ = CalcFreqSum(static_node_infos_);
CalculateWeight(static_node_infos_, freq_sum_);
double min_weight = 0;
SetStaticWordWeights(user_word_weight_opt, min_weight);
dat_.SetMinWeight(min_weight);
LoadUserDict(user_dict_paths);
const auto build_ret = dat_.InitBuildDat(static_node_infos_, dat_cache_path, md5);
assert(build_ret);
vector<DatElement>().swap(static_node_infos_);
}
void LoadDefaultDict(const string& filePath) {
ifstream ifs(filePath.c_str());
XCHECK(ifs.is_open()) << "open " << filePath << " failed.";
string line;
vector<string> buf;
for (; getline(ifs, line);) {
Split(line, buf, " ");
XCHECK(buf.size() == DICT_COLUMN_NUM) << "split result illegal, line:" << line;
DatElement node_info;
node_info.word = buf[0];
node_info.weight = atof(buf[1].c_str());
node_info.tag = buf[2];
static_node_infos_.push_back(node_info);
}
}
static bool WeightCompare(const DatElement& lhs, const DatElement& rhs) {
return lhs.weight < rhs.weight;
}
void SetStaticWordWeights(UserWordWeightOption option, double & min_weight) {
XCHECK(!static_node_infos_.empty());
vector<DatElement> x = static_node_infos_;
sort(x.begin(), x.end(), WeightCompare);
if(x.empty()){
return;
}
min_weight = x[0].weight;
const double max_weight_ = x[x.size() - 1].weight;
const double 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 vector<DatElement>& 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(vector<DatElement>& node_infos, double sum) const {
for (size_t i = 0; i < node_infos.size(); i++) {
DatElement& node_info = node_infos[i];
assert(node_info.weight > 0.0);
node_info.weight = log(double(node_info.weight) / sum);
}
}
private:
vector<DatElement> static_node_infos_;
size_t total_dict_size_ = 0;
DatTrie dat_;
double freq_sum_;
double user_word_default_weight_;
unordered_set<Rune> user_dict_single_chinese_word_;
};
}