學著站在巨人的肩膀上

前面的DocIndex程序輸入一個Tianwang.raw.*****文件，會產生一下三個文件 Doc.idx, Url.idx, DocId2Url.idx，我們這里對DocSegment程序進行分析。

這里輸入 Tianwang.raw.*****，Doc.idx，Url.idx.sort_uniq等三個文件，輸出一個Tianwang.raw.***.seg 分詞完畢的文件

int main(int argc, char* argv[])
{
    string strLine, strFileName=argv[1];
    CUrl iUrl;
    vector<CUrl> vecCUrl;
    CDocument iDocument;
    vector<CDocument> vecCDocument;
    unsigned int docId = 0;

    //ifstream ifs("Tianwang.raw.2559638448");
    ifstream ifs(strFileName.c_str());  //DocSegment Tianwang.raw.****
    if (!ifs) 
    {
        cerr << "Cannot open tianwang.img.info for input\n";
        return -1;
    }

    ifstream ifsUrl("Url.idx.sort_uniq");   //排序并消重后的url字典
    if (!ifsUrl) 
    {
        cerr << "Cannot open Url.idx.sort_uniq for input\n";
        return -1;
    }
    ifstream ifsDoc("Doc.idx"); //字典文件
    if (!ifsDoc) 
    {
        cerr << "Cannot open Doc.idx for input\n";
        return -1;
    }

    while (getline(ifsUrl,strLine)) //偏離url字典存入一個向量內存中
    {
        char chksum[33];
        int  docid;

        memset(chksum, 0, 33);
        sscanf( strLine.c_str(), "%s%d", chksum, &docid );
        iUrl.m_sChecksum = chksum;
        iUrl.m_nDocId = docid;
        vecCUrl.push_back(iUrl);
    }

    while (getline(ifsDoc,strLine))     //偏離字典文件將其放入一個向量內存中
    {
        int docid,pos,length;
        char chksum[33];

        memset(chksum, 0, 33);
        sscanf( strLine.c_str(), "%d%d%d%s", &docid, &pos, &length,chksum );
        iDocument.m_nDocId = docid;
        iDocument.m_nPos = pos;
        iDocument.m_nLength = length;
        iDocument.m_sChecksum = chksum;
        vecCDocument.push_back(iDocument);
    }

    strFileName += ".seg";
    ofstream fout(strFileName.c_str(), ios::in|ios::out|ios::trunc|ios::binary);    //設置完成分詞后的數據輸出文件
    for ( docId=0; docId<MAX_DOC_ID; docId++ )
    {

        // find document according to docId
        int length = vecCDocument[docId+1].m_nPos - vecCDocument[docId].m_nPos -1;
        char *pContent = new char[length+1];
        memset(pContent, 0, length+1);
        ifs.seekg(vecCDocument[docId].m_nPos);
        ifs.read(pContent, length);

        char *s;
        s = pContent;

        // skip Head
        int bytesRead = 0,newlines = 0;
        while (newlines != 2 && bytesRead != HEADER_BUF_SIZE-1) 
        {
            if (*s == '\n')
                newlines++;
            else
                newlines = 0;
            s++;
            bytesRead++;
        }
        if (bytesRead == HEADER_BUF_SIZE-1) continue;

        // skip header
        bytesRead = 0,newlines = 0;
        while (newlines != 2 && bytesRead != HEADER_BUF_SIZE-1) 
        {
            if (*s == '\n')
                newlines++;
            else
                newlines = 0;
            s++;
            bytesRead++;
        }
        if (bytesRead == HEADER_BUF_SIZE-1) continue;

        //iDocument.m_sBody = s;
        iDocument.RemoveTags(s);    //去除<>
        iDocument.m_sBodyNoTags = s;

        delete[] pContent;
        string strLine = iDocument.m_sBodyNoTags;

        CStrFun::ReplaceStr(strLine, " ", " ");
        CStrFun::EmptyStr(strLine); // set " \t\r\n" to " "

        // segment the document 具體分詞處理
        CHzSeg iHzSeg;
        strLine = iHzSeg.SegmentSentenceMM(iDict,strLine);
        fout << docId << endl << strLine;
        fout << endl;
        
    }

    return(0);
}
這里只是浮光掠影式的過一遍大概的代碼，后面我會有專題詳細講解 parse html 和 segment docment 等技術