【问题标题】:Matching and Extracting data using regular expression使用正则表达式匹配和提取数据
【发布时间】:2015-11-14 17:36:06
【问题描述】:

问题:找到匹配的字符串并从匹配的字符串中提取数据。有许多带有关键字和数据的命令字符串。

命令示例:

  1. 问名字给我打电话
  2. 通知执行此操作的名称
  3. 请求的消息名称

关键字:询问、通知、消息、到、那个。数据:

输入字符串:

  1. 让彼得给我打电话
  2. 通知珍娜我要离开了
  3. 给家里发消息说我迟到了

我的问题包括两个问题 1) 查找匹配命令 2) 提取数据

这是我正在做的事情: 我创建了多个正则表达式: "问[[:s:]][[:w:]]+[[:s:]]到[[:s:]][[:w:]]+" 或 "问([^\t\ n]+?)到([^\t\n]+?)" "通知[[:s:]][[:w:]]+[[:s:]]那个[[:s:]][[:w:]]+" 或 "通知([^\t\ n]+?)那个([^\t\n]+?)"

void searchExpression(const char *regString)
{
    std::string str;
    boost::regex callRegEx(regString, boost::regex_constants::icase);
    boost::cmatch im;

    while(true) {
       std::cout << "Enter String: ";
       getline(std::cin, str);
       fprintf(stderr, "str %s regstring %s\n", str.c_str(), regString);

       if(boost::regex_search(str.c_str(), im, callRegEx)) {
             int num_var = im.size() + 1;
             fprintf(stderr, "Matched num_var %d\n", num_var);
             for(int j = 0; j <= num_var; j++) {
                    fprintf(stderr, "%d) Found %s\n",j, std::string(im[j]).c_str());
             }
      }
      else {
          fprintf(stderr, "Not Matched\n");
      }
   }
}

我能够找到匹配的字符串,但无法提取数据。 这是输出:

input_string: Ask peter to call Regex Ask[[:s:]][[:w:]]+[[:s:]]to[[:s:]][[:w:]]+
Matched num_var 2
0) Found Ask peter to call
1) Found
2) Found

我想提取 peter 并从 Ask Peter 中调用。

【问题讨论】:

  • 我不确定 Boost.Regex,但通常你会得到整个匹配的字符串作为结果中的索引 0 以及你在其他索引中定义的任何组。您没有定义任何组,所以这似乎是您的问题。也就是说,您使用 +1&gt;= 的索引似乎很可疑,请仔细阅读文档。

标签: c++ regex boost


【解决方案1】:

既然你真的想要解析一个语法,你应该考虑使用 Boost 的解析器生成器。

您只需自上而下地编写整个内容:

auto sentence  = [](auto&& v, auto&& p) { 
    auto verb     = lexeme [ no_case [  as_parser(v) ] ];
    auto name     = lexeme [ +graph ];
    auto particle = lexeme [ no_case [  as_parser(p) ] ];
    return confix(verb, particle) [ name ]; 
};

auto ask     = sentence("ask",     "to")   >> lexeme[+char_];
auto notify  = sentence("notify",  "that") >> lexeme[+char_];
auto message = sentence("message", "that") >> lexeme[+char_];

auto command = ask | notify | message;

这是一个 Spirit X3 语法。将lexeme 读作“保留整个单词”(不要忽略空格)。

在这里,“名称”被认为是任何与预期粒子相关的内容¹

如果你只想返回匹配的原始字符串,这就足够了:

Live On Coliru

#include <iostream>
#include <boost/spirit/home/x3.hpp>
#include <boost/spirit/home/x3/directive/confix.hpp>

namespace x3 = boost::spirit::x3;

namespace commands {
    namespace grammar {
        using namespace x3;

        auto sentence  = [](auto&& v, auto&& p) { 
            auto verb     = lexeme [ no_case [  as_parser(v) ] ];
            auto name     = lexeme [ +graph ];
            auto particle = lexeme [ no_case [  as_parser(p) ] ];
            return confix(verb, particle) [ name ]; 
        };

        auto ask     = sentence("ask",     "to")   >> lexeme[+char_];
        auto notify  = sentence("notify",  "that") >> lexeme[+char_];
        auto message = sentence("message", "that") >> lexeme[+char_];

        auto command = ask | notify | message;

        auto parser  = raw [ skip(space) [ command ] ];
    }
}

int main() {
    for (std::string const input : {
            "Ask peter to call me",
            "Notify Jenna that I am going to be away",
            "Message home that I am running late",
            })
    {
        std::string matched;

        if (parse(input.begin(), input.end(), commands::grammar::parser, matched))
            std::cout << "Matched: '" << matched << "'\n";
        else
            std::cout << "No match in '" << input << "'\n";
    }

}

打印:

Matched: 'Ask peter to call me'
Matched: 'Notify Jenna that I am going to be away'
Matched: 'Message home that I am running late'

奖金

当然,您实际上是想提取相关的信息。

我会这样做。让我们解析成一个结构体:

struct Command {
    enum class Type { ask, message, notify } type;
    std::string name;
    std::string message;
};

让我们把main()写成:

commands::Command cmd;

if (parse(input.begin(), input.end(), commands::grammar::parser, cmd))
    std::cout << "Matched: " << cmd.type << "|" << cmd.name << "|" << cmd.message << "\n";
else
    std::cout << "No match in '" << input << "'\n";

Live On Coliru

#include <iostream>
#include <boost/fusion/adapted/struct.hpp>
#include <boost/spirit/home/x3.hpp>
#include <boost/spirit/home/x3/directive/confix.hpp>

namespace x3 = boost::spirit::x3;

namespace commands {

    struct Command {
        enum class Type { ask, message, notify } type;
        std::string name;
        std::string message;

        friend std::ostream& operator<<(std::ostream& os, Type t) { return os << static_cast<int>(t); } // TODO
    };

}

BOOST_FUSION_ADAPT_STRUCT(commands::Command, type, name, message)

namespace commands {

    namespace grammar {
        using namespace x3;

        auto sentence  = [](auto type, auto&& v, auto&& p) { 
            auto verb     = lexeme [ no_case [  as_parser(v) ] ];
            auto name     = lexeme [ +graph ];
            auto particle = lexeme [ no_case [  as_parser(p) ] ];
            return attr(type) >> confix(verb, particle) [ name ]; 
        };

        using Type = Command::Type;
        auto ask     = sentence(Type::ask,     "ask",     "to")   >> lexeme[+char_];
        auto notify  = sentence(Type::notify,  "notify",  "that") >> lexeme[+char_];
        auto message = sentence(Type::message, "message", "that") >> lexeme[+char_];

        auto command // = rule<struct command, Command> { }
                     = ask | notify | message;

        auto parser  = skip(space) [ command ];
    }
}

int main() {
    for (std::string const input : {
            "Ask peter to call me",
            "Notify Jenna that I am going to be away",
            "Message home that I am running late",
            })
    {
        commands::Command cmd;

        if (parse(input.begin(), input.end(), commands::grammar::parser, cmd))
            std::cout << "Matched: " << cmd.type << "|" << cmd.name << "|" << cmd.message << "\n";
        else
            std::cout << "No match in '" << input << "'\n";
    }

}

打印

Matched: 0|peter|call me
Matched: 2|Jenna|I am going to be away
Matched: 1|home|I am running late

¹我不是英语语言学家,所以我不知道这是否是正确的语法术语:)

【讨论】:

    【解决方案2】:

    此代码从文件“commands.txt”中读取命令字符串,搜索正则表达式并在匹配时打印部分。

    #include <iostream>
    #include <fstream> 
    #include <string>
    #include <boost/regex.hpp>
    
    const int NumCmdParts = 4;
    std::string CommandPartIds[] = {"Verb", "Name", "Preposition", "Content"};
    
    int main(int argc, char *argv[])
    {
    
        std::ifstream ifs;
        ifs.open ("commands.txt", std::ifstream::in);
        if (!ifs.is_open()) {
          std::cout << "Error opening file commands.txt" << std::endl;
          exit(1);
        }
    
        std::string cmdStr;
    
        // Pieces of regular expression pattern
        // '(?<Verb>' : This is to name the capture group as 'Verb'
        std::string VerbPat = "(?<Verb>(Ask)|(Notify|Message))";
        std::string SeparatorPat = "\\s*";  
        std::string NamePat = "(?<Name>\\w+)";
    
        // Conditional expression. if (Ask) (to) else (that)
        std::string PrepositionPat = "(?<Preposition>(?(2)(to)|(that)))";
        std::string ContentPat = "(?<Content>.*)";
    
        // Put the pieces together to compose pattern
        std::string TotalPat = VerbPat + SeparatorPat + NamePat + SeparatorPat
                                + PrepositionPat + SeparatorPat + ContentPat;
    
        boost::regex actions_re(TotalPat);
        boost::smatch action_match;
    
        while (getline(ifs, cmdStr)) {
            bool IsMatch = boost::regex_search(cmdStr, action_match, actions_re);
            if (IsMatch) {          
              for (int i=1; i <= NumCmdParts; i++) {     
                std::cout << CommandPartIds[i-1] << ": " << action_match[CommandPartIds[i-1]] << "\n";
              }
            }
        }   
    
        ifs.close();
    }
    

    【讨论】:

    • 我认为唯一使问题相关的是“通知”与“那个”一起使用,而“询问”与“到”一起使用。你的语法忽略了区别。
    • 好收获。我会用条件表达式修复它
    • 我喜欢命名的捕获+1
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