// plasmaCondenser.java // ----------------------- // part of YaCy // (C) by Michael Peter Christen; mc@anomic.de // first published on http://www.anomic.de // Frankfurt, Germany, 2004 // last change: 09.01.2004 // // This program is free software; you can redistribute it and/or modify // it under the terms of the GNU General Public License as published by // the Free Software Foundation; either version 2 of the License, or // (at your option) any later version. // // This program is distributed in the hope that it will be useful, // but WITHOUT ANY WARRANTY; without even the implied warranty of // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the // GNU General Public License for more details. // // You should have received a copy of the GNU General Public License // along with this program; if not, write to the Free Software // Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA // // Using this software in any meaning (reading, learning, copying, compiling, // running) means that you agree that the Author(s) is (are) not responsible // for cost, loss of data or any harm that may be caused directly or indirectly // by usage of this softare or this documentation. The usage of this software // is on your own risk. The installation and usage (starting/running) of this // software may allow other people or application to access your computer and // any attached devices and is highly dependent on the configuration of the // software which must be done by the user of the software; the author(s) is // (are) also not responsible for proper configuration and usage of the // software, even if provoked by documentation provided together with // the software. // // Any changes to this file according to the GPL as documented in the file // gpl.txt aside this file in the shipment you received can be done to the // lines that follows this copyright notice here, but changes must not be // done inside the copyright notive above. A re-distribution must contain // the intact and unchanged copyright notice. // Contributions and changes to the program code must be marked as such. // compile with javac -sourcepath source source/de/anomic/plasma/plasmaCondenser.java // execute with java -cp source de.anomic.plasma.plasmaCondenser package de.anomic.plasma; import java.io.BufferedReader; import java.io.ByteArrayInputStream; import java.io.File; import java.io.FileInputStream; import java.io.FileWriter; import java.io.IOException; import java.io.InputStream; import java.io.InputStreamReader; import java.util.Enumeration; import java.util.HashMap; import java.util.HashSet; import java.util.Iterator; import java.util.Map; import java.util.Properties; import java.util.Set; import java.util.TreeMap; import java.util.TreeSet; import de.anomic.htmlFilter.htmlFilterContentScraper; import de.anomic.htmlFilter.htmlFilterOutputStream; import de.anomic.kelondro.kelondroMSetTools; public class plasmaCondenser { private final static int numlength = 5; private Properties analysis; private TreeMap words; // a string (the words) to (statProp) - relation private HashMap sentences; private int wordminsize; private int wordcut; public plasmaCondenser(InputStream text) throws IOException { this(text, 3, 2); } public plasmaCondenser(InputStream text, int wordminsize, int wordcut) throws IOException { this.wordminsize = wordminsize; this.wordcut = wordcut; analysis = new Properties(); words = new TreeMap(); sentences = new HashMap(); createCondensement(text); } public Properties getAnalysis() { return analysis; } public int excludeWords(TreeSet stopwords) { // subtracts the given stopwords from the word list // the word list shrinkes. This returns the number of shrinked words int oldsize = words.size(); words = kelondroMSetTools.excludeConstructive(words, stopwords); return oldsize - words.size(); } public Set getWords() { return words.keySet(); } public int wordCount(String word) { // number of occurrences of one word // if the word did not occur, this simply returns 0 statProp sp = (statProp) words.get(word); if (sp == null) return 0; return sp.count; } public static class statProp { public int count; public int handle; public HashSet hash; public statProp(int handle) { this.count = 1; this.handle = handle; this.hash = new HashSet(); } public void inc() {count++;} public void check(int i) {hash.add("" + i);} } public static String intString(int number, int length) { String s = "" + number; while (s.length() < length) s = "0" + s; return s; } private void createCondensement(InputStream is) throws IOException { words = new TreeMap(kelondroMSetTools.fastStringComparator); sentences = new HashMap(); HashSet currsentwords = new HashSet(); String sentence = ""; String word = ""; String k; int wordlen; statProp sp, sp1; int wordHandle; int wordHandleCount = 0; int sentenceHandle; int sentenceHandleCount = 0; int allwordcounter = 0; int allsentencecounter = 0; int idx; Iterator it, it1; // read source sievedWordsEnum wordenum = new sievedWordsEnum(is, wordminsize); while (wordenum.hasMoreElements()) { word = ((String) wordenum.nextElement()).toLowerCase(); //System.out.println("PARSED-WORD " + word); wordlen = word.length(); if ((wordlen == 1) && (punctuation(word.charAt(0)))) { // store sentence if (sentence.length() > 0) { // we store the punctuation symbol as first element of the sentence vector allsentencecounter++; sentence = word + sentence; if (sentences.containsKey(sentence)) { // sentence already exists sp = (statProp) sentences.get(sentence); sp.inc(); idx = sp.handle; sentences.put(sentence, sp); } else { // create new sentence idx = sentenceHandleCount++; sentences.put(sentence, new statProp(idx)); } // store to the words a link to this sentence it = currsentwords.iterator(); while (it.hasNext()) { k = (String) it.next(); sp = (statProp) words.get(k); sp.check(idx); words.put(k,sp); } } sentence = ""; currsentwords.clear(); } else { // store word allwordcounter++; currsentwords.add(word); if (words.containsKey(word)) { // word already exists sp = (statProp) words.get(word); wordHandle = sp.handle; sp.inc(); } else { // word does not yet exist, create new word entry wordHandle = wordHandleCount++; sp = new statProp(wordHandle); } words.put(word, sp); // we now have the unique handle of the word, put it into the sentence: sentence = sentence + intString(wordHandle, numlength); } } // finnish last sentence if (sentence.length() > 0) { allsentencecounter++; sentence = "." + sentence; if (sentences.containsKey(sentence)) { sp = (statProp) sentences.get(sentence); sp.inc(); sentences.put(sentence, sp); } else { sentences.put(sentence, new statProp(sentenceHandleCount++)); } } //------------------- // we reconstruct the sentence hashtable // and order the entries by the number of the sentence // this structure is needed to replace double occurring words in sentences Object[] orderedSentences = new Object[sentenceHandleCount]; String[] s; int wc; it = sentences.keySet().iterator(); while (it.hasNext()) { sentence = (String) it.next(); wc = (sentence.length() - 1) / numlength; s = new String[wc + 2]; sp = (statProp) sentences.get(sentence); s[0] = intString(sp.count, numlength); // number of occurrences of this sentence s[1] = sentence.substring(0,1); // the termination symbol of this sentence for (int i = 0; i < wc; i++) { k = sentence.substring(i * numlength + 1, (i + 1) * numlength + 1); s[i + 2] = k; } orderedSentences[sp.handle] = s; } Map.Entry entry; // we search for similar words and reorganize the corresponding sentences // a word is similar, if a shortened version is equal it = words.entrySet().iterator(); // enumerates the keys in descending order wordsearch: while (it.hasNext()) { entry = (Map.Entry) it.next(); word = (String) entry.getKey(); wordlen = word.length(); sp = (statProp) entry.getValue(); for (int i = wordcut; i > 0; i--) { if (wordlen > i) { k = word.substring(0, wordlen - i); if (words.containsKey(k)) { // we will delete the word 'word' and repoint the corresponding links // in sentences that use this word sp1 = (statProp) words.get(k); it1 = sp.hash.iterator(); // we iterate over all sentences that refer to this word while (it1.hasNext()) { idx = Integer.parseInt((String) it1.next()); // number of a sentence s = (String[]) orderedSentences[idx]; for (int j = 2; j < s.length; j++) { if (s[j].equals(intString(sp.handle, numlength))) s[j] = intString(sp1.handle, numlength); } orderedSentences[idx] = s; } // update word counter sp1.count = sp1.count + sp.count; words.put(k, sp1); // remove current word it.remove(); continue wordsearch; } } } } // depending on the orderedSentences structure, we rebuild the sentence HashMap to // eliminate double occuring sentences sentences = new HashMap(); for (int i = 0; i < orderedSentences.length; i++) { sentence = ""; for (int j = 1; j < ((String[]) orderedSentences[i]).length; j++) sentence = sentence + ((String[]) orderedSentences[i])[j]; if (sentences.containsKey(sentence)) { // add sentence counter to counter of found sentence sp = (statProp) sentences.get(sentence); sp.count = sp.count + Integer.parseInt(((String[]) orderedSentences[i])[0]); sentences.put(sentence, sp); //System.out.println("Found double occurring sentence " + i + " = " + sp.handle); } else { // create new sentence entry sp = new statProp(i); sp.count = Integer.parseInt(((String[]) orderedSentences[i])[0]); sentences.put(sentence, sp); } } //------------------- // what do we have here: // sentences // words // we now have the sentence structure and word list // create properties with this information analysis.setProperty("NUMB_TEXT_BYTES", Long.toHexString(wordenum.count())); analysis.setProperty("NUMB_WORDS", Long.toHexString(allwordcounter)); analysis.setProperty("DIFF_WORDS", Long.toHexString(wordHandleCount)); analysis.setProperty("SIMI_WORDS", Long.toHexString(words.size())); analysis.setProperty("WORD_ENTROPHY", Long.toHexString((allwordcounter == 0) ? 0 : (255 * words.size() / allwordcounter))); analysis.setProperty("NUMB_SENTENCES", Long.toHexString(allsentencecounter)); analysis.setProperty("DIFF_SENTENCES", Long.toHexString(sentenceHandleCount)); analysis.setProperty("SIMI_SENTENCES", Long.toHexString(sentences.size())); analysis.setProperty("AVERAGE_WORD_OCC", Long.toHexString((words.size() == 0) ? 0 : (allwordcounter / words.size()))); analysis.setProperty("INFORMATION_VALUE", Long.toHexString((allwordcounter == 0) ? 0 : (wordenum.count() * words.size() / allwordcounter / 16))); // string, characterisation of text content (a guess) } public void reconstruct() { // we reconstruct the word hashtable // and order the entries by the number of the sentence // this structure is only needed to reconstruct the text String word; statProp sp; Map.Entry entry; Iterator it; String[] orderedWords = new String[words.size()+99]; // uuiiii, the '99' is only a quick hack... it = words.entrySet().iterator(); // enumerates the keys in ascending order while (it.hasNext()) { entry = (Map.Entry) it.next(); word = (String) entry.getKey(); sp = (statProp) entry.getValue(); orderedWords[sp.handle] = word; } Object[] orderedSentences = makeOrderedSentences(); // printout a reconstruction of the text for (int i = 0; i < orderedSentences.length; i++) { if (orderedSentences[i] != null) { System.out.print("#T " + intString(i, numlength) + " " + ((String[]) orderedSentences[i])[0] + " "); for (int j = 2; j < ((String[]) orderedSentences[i]).length; j++) { System.out.print(" " + orderedWords[Integer.parseInt(((String[]) orderedSentences[i])[j])] ); } System.out.println(((String[]) orderedSentences[i])[1]); } } } private Object[] makeOrderedSentences() { // we reconstruct the sentence hashtable again and create by-handle ordered entries // this structure is needed to present the strings in the right order in a printout int wc; Iterator it; statProp sp; String[] s; String sentence; Object[] orderedSentences = new Object[sentences.size()]; for (int i = 0; i < sentences.size(); i++) orderedSentences[i] = null; // this array must be initialized it = sentences.keySet().iterator(); while (it.hasNext()) { sentence = (String) it.next(); wc = (sentence.length() - 1) / numlength; s = new String[wc + 2]; sp = (statProp) sentences.get(sentence); s[0] = intString(sp.count, numlength); // number of occurrences of this sentence s[1] = sentence.substring(0,1); // the termination symbol of this sentence for (int i = 0; i < wc; i++) s[i + 2] = sentence.substring(i * numlength + 1, (i + 1) * numlength + 1); orderedSentences[sp.handle] = s; } return orderedSentences; } public void writeMapToFile(File out) throws IOException { Map.Entry entry; String k; String word; Iterator it; statProp sp; Object[] orderedSentences = makeOrderedSentences(); // we reconstruct the word hashtable // and sort the entries by the number of occurrences // this structure is needed to print out a sorted list of words TreeMap sortedWords = new TreeMap(kelondroMSetTools.fastStringComparator); it = words.entrySet().iterator(); // enumerates the keys in ascending order while (it.hasNext()) { entry = (Map.Entry) it.next(); word = (String) entry.getKey(); sp = (statProp) entry.getValue(); sortedWords.put(intString(sp.count, numlength) + intString(sp.handle, numlength), word); } // start writing of words and sentences FileWriter writer = new FileWriter(out); writer.write("\r\n"); it = sortedWords.entrySet().iterator(); // enumerates the keys in descending order while (it.hasNext()) { entry = (Map.Entry) it.next(); k = (String) entry.getKey(); writer.write("#W " + k.substring(numlength) + " " + k.substring(0, numlength) + " " + ((String) entry.getValue()) + "\r\n"); } for (int i = 0; i < orderedSentences.length; i++) { if (orderedSentences[i] != null) { writer.write("#S " + intString(i, numlength) + " "); for (int j = 0; j < ((String[]) orderedSentences[i]).length; j++) { writer.write(((String[]) orderedSentences[i])[j] + " "); } writer.write("\r\n"); } } writer.close(); } private static boolean punctuation(char c) { return ("!?.".indexOf(c) >= 0); } public static boolean invisible(char c) { if ((c < ' ') || (c > 'z')) return true; return ("$%&/()=\"$%&/()=`^+*~#'-_:;,|<>[]\\".indexOf(c) >= 0); } public static Enumeration wordTokenizer(String s) { try { return new sievedWordsEnum(new ByteArrayInputStream(s.getBytes()), 3); } catch (Exception e) { return null; } } public static class sievedWordsEnum implements Enumeration { Object buffer = null; unsievedWordsEnum e; int ml; public sievedWordsEnum(InputStream is, int minLength) throws IOException { e = new unsievedWordsEnum(is); buffer = nextElement0(); ml = minLength; } private Object nextElement0() { String s, r; char c; loop: while (e.hasMoreElements()) { s = (String) e.nextElement(); r = s.toLowerCase(); if ((s.length() == 1) && (punctuation(s.charAt(0)))) return s; if (s.length() < ml) continue loop; for (int i = 0; i < r.length(); i++) { c = r.charAt(i); if (!(((c >= 'a') && (c <= 'z')) || ((c >= '0') && (c <= '9')))) continue loop; // go to next while loop } return s; } return null; } public boolean hasMoreElements() { return buffer != null; } public Object nextElement() { Object r = buffer; buffer = nextElement0(); return r; } public int count() { return e.count(); } } private static class unsievedWordsEnum implements Enumeration { Object buffer = null; linesFromFileEnum e; String s; public unsievedWordsEnum(InputStream is) throws IOException { e = new linesFromFileEnum(is); s = ""; buffer = nextElement0(); } private Object nextElement0() { String r; StringBuffer sb; char c; while (s.length() == 0) { if (e.hasMoreElements()) { r = (String) e.nextElement(); if (r == null) return null; r = r.trim(); sb = new StringBuffer(r.length() * 2); for (int i = 0; i < r.length(); i++) { c = r.charAt(i); if (invisible(c)) sb = sb.append(' '); else if (punctuation(c)) sb = sb.append(' ').append(c).append(' '); else sb = sb.append(c); } s = sb.toString().trim(); //System.out.println("PARSING-LINE '" + r + "'->'" + s + "'"); } else { return null; } } int p = s.indexOf(" "); if (p < 0) {r = s; s = ""; return r;} r = s.substring(0, p); s = s.substring(p + 1).trim(); return r; } public boolean hasMoreElements() { return buffer != null; } public Object nextElement() { Object r = buffer; buffer = nextElement0(); return r; } public int count() { return e.count(); } } private static class linesFromFileEnum implements Enumeration { // read in lines from a given input stream // every line starting with a '#' is treated as a comment. Object buffer = null; BufferedReader raf; int counter = 0; public linesFromFileEnum(InputStream is) throws IOException { raf = new BufferedReader(new InputStreamReader(is)); buffer = nextElement0(); counter = 0; } private Object nextElement0() { try { String s; while (true) { s = raf.readLine(); if (s == null) {raf.close(); return null;} if (!(s.startsWith("#"))) return s; } } catch (IOException e) { try {raf.close();} catch (Exception ee) {} return null; } } public boolean hasMoreElements() { return buffer != null; } public Object nextElement() { if (buffer == null) { return null; } else { counter = counter + ((String) buffer).length() + 1; Object r = buffer; buffer = nextElement0(); return r; } } public int count() { return counter; } } private static void addLineSearchProp(Properties prop, String s, String[] searchwords, HashSet foundsearch) { // we store lines containing a key in search vector int p; String r; s = " " + s.toLowerCase() + " "; for (int i = 0; i < searchwords.length; i++) { if (!(foundsearch.contains(searchwords[i]))) { p = s.indexOf((String) searchwords[i]); if (p >= 0) { // we found one key in the result text // prepare a line and put it to the property r = s.substring(0, p) + "" + s.substring(p, p + searchwords[i].length()) + "" + s.substring(p + searchwords[i].length()); prop.setProperty("key-" + searchwords[i], r); // remember that we found this foundsearch.add(searchwords[i]); } } } } public static Set getWords(byte[] text) { if (text == null) return null; ByteArrayInputStream buffer = new ByteArrayInputStream(text); try { plasmaCondenser condenser = new plasmaCondenser(buffer); return condenser.getWords(); } catch (IOException e) { return null; } } public static void main(String[] args) { if ((args.length == 0) || (args.length > 3)) System.out.println("wrong number of arguments: plasmaCondenser -text|-html "); else try { plasmaCondenser pc = null; // read and analyse file File file = new File(args[1]); InputStream textStream = null; if (args[0].equals("-text")) { // read a text file textStream = new FileInputStream(file); } else if (args[0].equals("-html")) { // read a html file htmlFilterContentScraper cs = new htmlFilterContentScraper(new java.net.URL("http://localhost/")); htmlFilterOutputStream fos = new htmlFilterOutputStream(null, cs, null, false); FileInputStream fis = new FileInputStream(file); byte[] buffer = new byte[512]; int i; while ((i = fis.read(buffer)) > 0) fos.write(buffer, 0, i); fis.close(); fos.close(); //cs.print(); //System.out.println("TEXT:" + new String(cs.getText())); textStream = new ByteArrayInputStream(cs.getText()); } else { System.out.println("first argument must be either '-text' or '-html'"); System.exit(-1); } // call condenser pc = new plasmaCondenser(textStream, 1, 0); textStream.close(); // output result pc.writeMapToFile(new File(args[2])); pc.reconstruct(); System.out.println("ANALYSIS:" + pc.getAnalysis().toString()); } catch (IOException e) { System.out.println("Problem with input file: " + e.getMessage()); } } }