package textfreqnew;
import java.io.BufferedOutputStream;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.FileReader;
import java.io.IOException;
import java.io.PrintWriter;
//import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.LineNumberReader;
//import java.io.PrintWriter;
import java.util.*;
//import java.lang.*;
import java.lang.Math;
//import textfreq.CountedSet;
//import java.util.StringTokenizer;
/**
 * 結合wordbase來計算每個文本中的詞頻,再計算wordbase中每個詞的文檔頻率,然后根據詞頻和文檔頻率計算每個詞在每個文檔中的權重,把權重存儲在指定的文本中.
 * */


class Counter{
	int i=1;
	public String toString(){
		return Integer.toString(i);
	}
}
public class TextFreq{
	
	private List reads=new ArrayList();
	public static Map hm1=new HashMap();//存儲詞和詞頻
	public static Map hm2=new HashMap();//存儲詞庫
	public static Map hm3=new HashMap();//存儲文檔頻率
	//public static int i=0;
	public static int N=1560;
	public Double d1;
	public Double d2;
	public Double W;
	//public static Double log(Double N/d2);
	/**
	 * @param args
	 * @throws FileNotFoundException 
	 */
	public static void main(String[] args) throws FileNotFoundException {
		// TODO Auto-generated method stub
		
		
		
		String filedest="E:\\experiment\\trainstopwordnew1";
		TextFreq f=new TextFreq();
		File file=new File(filedest);
        //讀取filedest中的所有文件 并存貯在reads中
		f.read(file.listFiles());
		if(f.getReads()!=null)
		{
			f.read(f.getReads());
		}
	}
	
	/**
	 * @param files
	 * 讀取文件 但還沒有讀取文件的內容
	 */
	public void read(File []files){
		for(int i=0;i<files.length;i++)
		{
			if(files[i].isDirectory())
			{
				this.read(files[i].listFiles());
			}else
			{
				this.reads.add(files[i]);
			}
		}
	}
	
	//讀取文件內容
	public void read(List files) throws FileNotFoundException
	{
		//int i=0;
		//CountedSet cs=new CountedSet();
		Iterator iterator=files.iterator();
		File file=null;
		while(iterator.hasNext())
		{
			file=(File) iterator.next();
			System.out.println("讀取文件"+file.getName()+"內容");
			LineNumberReader reader;
			//System.out.println("avsdadfa");
			try
            {
                reader = new LineNumberReader(new BufferedReader(new InputStreamReader(new FileInputStream(file))));
               // BufferedReader inputStream=new BufferedReader(new FileReader("E:\\experiment\\wordbase2.txt"));
                //System.out.println("avsdadfa");
                String line1;
                //String line2;
                PrintWriter fos=new PrintWriter(new File("E:\\experiment\\textfreq\\"+file.getName()));
                //FileOutputStream fos=new FileOutputStream(new File("E:\\test1\\textfreq\\"+file.getName()));
                //BufferedOutputStream fos2=new BufferedOutputStream(new FileOutputStream("E:\\test1\\wordfreq.txt"));
               // BufferedOutputStream fos3=new BufferedOutputStream(new FileOutputStream("E:\\test1\\wordwight.txt"));
               
                //統計每個文本中的詞頻，并把詞和相應的詞頻存放到hm1中
                while((line1=reader.readLine())!=null){
                	if(hm1.containsKey(line1))
                		((Counter)hm1.get(line1)).i++;
                	else
                		hm1.put(line1, new Counter());
                	}
                
                // 輸出hm1，測試是否成功存儲到hm1中
                //System.out.println(hm1);
//              把詞頻寫入到文本中
                //Iterator iter=cs.getMap().keySet().iterator();
                // Iterator iter=cs.getMap().values().iterator();
                Set keySet=hm1.keySet();
                 String text;
                 int count;
                for(Iterator iter=hm1.keySet().iterator();iter.hasNext();){
             	   text=(String)iter.next();
             	   count=((Counter)hm1.get(text)).i;
             	   //count=(hm1.get(text)).
             	   fos.write(text+":"+count+"\r\n");
                }
                fos.close();
                hm1.clear();
                //把詞庫存儲到hm2中
               /* while((line2=inputStream.readLine())!=null){
                	if(!(hm2.containsKey(line2)))
                		hm2.put(line2, new Counter());
                	else
                		((Counter)hm2.get(line2)).i++;
                }
                */
                
                //統計文檔頻率，把hm1中的詞與wordbase(hm2)中的詞進行比較，如果hm1中有wordbase中的詞，則加1
               /* Iterator iter2=hm2.keySet().iterator();
                Iterator iter1=hm1.keySet().iterator();
                while(iter2.hasNext()){
                  String s2=iter2.next().toString();
                	   if(hm1.containsKey(s2)){
                		  if(!(hm3.containsKey(s2))){
                			  hm3.put(s2, new Counter());
                	       }
                		  else{
                			
                			((Counter)hm3.get(s2)).i++;
                		  }
                	    }
                }*/
                //輸出hm3，測試文檔頻率
                //System.out.println(hm3);
              
			//計算權重,W=tf*idf,其中tf=cs.getMap().values(),df=hm3.values(),idf=log(N/df)
			/*Iterator iter31=hm3.keySet().iterator();//文檔頻率
			Iterator iter11=hm1.keySet().iterator();//詞頻
			while((iter31.hasNext())&(iter11.hasNext())){
			 String s3=iter31.next().toString();
			 String s4=iter11.next().toString();
			 if(s3.equals(s4)){
				 d1=Double.valueOf(hm1.get(s4).toString());//詞s3的詞頻值
				 d2=Double.valueOf(hm3.get(s3).toString());//詞s3的文檔數
				 Double a=java.lang.Math.log(N/d2);
				 W=d1*a;
				 //W=d1*log(N/d2);
				 //System.out.println("asd:-----------------------");
				 //System.out.println(W);
				 String sw=W.toString()+"\r\n";
				 byte[] bw=sw.getBytes();
				 fos3.write(bw,0,bw.length);
				 //算法沒有問題，但是把w存儲到fos3中時，被復寫，正在找原因。。。。。
			 }
			 
			 //hm3.clear();
			}
			fos3.close();*/
			//hm1.clear();
			//hm2.clear();
			//hm3.clear();
			//hm3.clear();
			//cs.getMap().clear();
           }
     
            catch (IOException e)
            {
                System.out.println("Install tips are not found!");
                e.printStackTrace();
            }
            
		}
		
	}
	public List getReads() {
		return reads;
	}
	public void setReads(List reads) {
		this.reads = reads;
	}
}