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1dd0e3b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 | #include "DocumentRetriever.h"
#include <iostream>
#include <algorithm>
#include <cctype>
#include <locale>
namespace hhb {
namespace rag {
DocumentRetriever::DocumentRetriever() : initialized_(false) {
}
DocumentRetriever::~DocumentRetriever() {
}
bool DocumentRetriever::initialize() {
chunks_.clear();
// 加载 README.md 文档
addDocument("README.md", "README.md");
// 加载其他可能的文档
// addDocument("docs/manual.md", "Manual");
initialized_ = true;
std::cout << "DocumentRetriever initialized with " << chunks_.size() << " chunks" << std::endl;
return true;
}
bool DocumentRetriever::addDocument(const std::string& filePath, const std::string& source) {
std::ifstream file(filePath);
if (!file.is_open()) {
std::cout << "Warning: Could not open document: " << filePath << std::endl;
return false;
}
std::stringstream buffer;
buffer << file.rdbuf();
std::string content = buffer.str();
splitIntoChunks(content, source);
file.close();
return true;
}
void DocumentRetriever::splitIntoChunks(const std::string& content, const std::string& source) {
std::istringstream stream(content);
std::string line;
std::string currentChunk;
int lineNumber = 0;
int chunkSize = 0;
const int maxChunkLines = 10;
while (std::getline(stream, line)) {
lineNumber++;
currentChunk += line + "\n";
chunkSize++;
// 当块达到一定行数或遇到空行时,保存块
if (chunkSize >= maxChunkLines || line.empty()) {
if (!currentChunk.empty() && chunkSize > 2) {
DocumentChunk chunk;
chunk.content = currentChunk;
chunk.source = source;
chunk.line_number = lineNumber - chunkSize;
chunks_.push_back(chunk);
}
currentChunk.clear();
chunkSize = 0;
}
}
// 保存最后一个块
if (!currentChunk.empty() && chunkSize > 0) {
DocumentChunk chunk;
chunk.content = currentChunk;
chunk.source = source;
chunk.line_number = lineNumber - chunkSize;
chunks_.push_back(chunk);
}
}
std::vector<std::string> DocumentRetriever::tokenize(const std::string& text) const {
std::vector<std::string> tokens;
std::string token;
for (char c : text) {
if (std::isalnum(static_cast<unsigned char>(c))) {
token += std::tolower(static_cast<unsigned char>(c));
} else if (!token.empty()) {
tokens.push_back(token);
token.clear();
}
}
if (!token.empty()) {
tokens.push_back(token);
}
return tokens;
}
double DocumentRetriever::calculateSimilarity(const std::vector<std::string>& queryTokens,
const std::vector<std::string>& chunkTokens) const {
if (queryTokens.empty() || chunkTokens.empty()) {
return 0.0;
}
// 计算查询词在块中出现的次数
int matchCount = 0;
for (const auto& queryToken : queryTokens) {
for (const auto& chunkToken : chunkTokens) {
if (chunkToken.find(queryToken) != std::string::npos ||
queryToken.find(chunkToken) != std::string::npos) {
matchCount++;
break;
}
}
}
// 返回相似度分数
return static_cast<double>(matchCount) / static_cast<double>(queryTokens.size());
}
bool DocumentRetriever::needsDocumentRetrieval(const std::string& query) const {
// 定义软件操作相关的关键词
std::vector<std::string> softwareKeywords = {
"如何", "怎么", "导出", "导入", "打开", "保存", "加载",
"操作", "使用", "功能", "设置", "配置", "快捷键",
"导出stl", "导出obj", "导入stl", "加载模型",
"软件", "系统", "界面", "菜单", "按钮",
"帮助", "教程", "文档", "说明"
};
std::string lowerQuery = query;
std::transform(lowerQuery.begin(), lowerQuery.end(), lowerQuery.begin(),
[](unsigned char c){ return std::tolower(c); });
for (const auto& keyword : softwareKeywords) {
if (lowerQuery.find(keyword) != std::string::npos) {
return true;
}
}
return false;
}
std::string DocumentRetriever::retrieve(const std::string& query, int maxChunks) const {
if (chunks_.empty()) {
return "";
}
// 对查询进行分词
std::vector<std::string> queryTokens = tokenize(query);
if (queryTokens.empty()) {
return "";
}
// 计算每个块与查询的相似度
std::vector<std::pair<double, size_t>> scores;
for (size_t i = 0; i < chunks_.size(); ++i) {
std::vector<std::string> chunkTokens = tokenize(chunks_[i].content);
double similarity = calculateSimilarity(queryTokens, chunkTokens);
scores.push_back({similarity, i});
}
// 按相似度排序
std::sort(scores.begin(), scores.end(),
[](const auto& a, const auto& b) { return a.first > b.first; });
// 构建检索结果
std::stringstream result;
result << "\n\n[检索到的相关文档片段]\n";
int count = 0;
for (const auto& score : scores) {
if (count >= maxChunks || score.first <= 0.1) {
break;
}
const auto& chunk = chunks_[score.second];
result << "\n--- 来源: " << chunk.source << " (行 " << chunk.line_number << ") ---\n";
result << chunk.content << "\n";
count++;
}
return result.str();
}
} // namespace rag
} // namespace hhb |