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Posted to commits@tika.apache.org by ol...@apache.org on 2011/07/15 20:48:37 UTC

svn commit: r1147277 [3/5] - in /tika/trunk: tika-app/ tika-app/src/main/java/org/apache/tika/cli/ tika-app/src/test/ tika-app/src/test/java/ tika-app/src/test/java/org/ tika-app/src/test/java/org/apache/ tika-app/src/test/java/org/apache/tika/ tika-ap...

Modified: tika/trunk/tika-bundle-it/pom.xml
URL: http://svn.apache.org/viewvc/tika/trunk/tika-bundle-it/pom.xml?rev=1147277&r1=1147276&r2=1147277&view=diff
==============================================================================
--- tika/trunk/tika-bundle-it/pom.xml (original)
+++ tika/trunk/tika-bundle-it/pom.xml Fri Jul 15 18:48:36 2011
@@ -25,7 +25,7 @@
   <parent>
     <groupId>org.apache.tika</groupId>
     <artifactId>tika-parent</artifactId>
-    <version>0.9-SNAPSHOT</version>
+    <version>1.0-SNAPSHOT</version>
     <relativePath>../tika-parent/pom.xml</relativePath>
   </parent>
 

Added: tika/trunk/tika-core/src/main/java/org/apache/tika/language/LanguageProfilerBuilder.java
URL: http://svn.apache.org/viewvc/tika/trunk/tika-core/src/main/java/org/apache/tika/language/LanguageProfilerBuilder.java?rev=1147277&view=auto
==============================================================================
--- tika/trunk/tika-core/src/main/java/org/apache/tika/language/LanguageProfilerBuilder.java (added)
+++ tika/trunk/tika-core/src/main/java/org/apache/tika/language/LanguageProfilerBuilder.java Fri Jul 15 18:48:36 2011
@@ -0,0 +1,767 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.tika.language;
+
+// JDK imports
+import java.io.BufferedInputStream;
+import java.io.BufferedReader;
+import java.io.File;
+import java.io.FileInputStream;
+import java.io.FileOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.io.OutputStream;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.Date;
+import java.util.HashMap;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+import org.apache.tika.exception.TikaException;
+
+/**
+ * This class runs a ngram analysis over submitted text, results might be used
+ * for automatic language identification.
+ * 
+ * The similarity calculation is at experimental level. You have been warned.
+ * 
+ * Methods are provided to build new NGramProfiles profiles.
+ * 
+ * @author Sami Siren
+ * @author Jerome Charron - http://frutch.free.fr/
+ */
+public class LanguageProfilerBuilder {
+
+    // public static final Log LOG =
+    // LogFactory.getLog(LanguageProfilerBuilder.class);
+
+    /** The minimum length allowed for a ngram. */
+    final static int ABSOLUTE_MIN_NGRAM_LENGTH = 3; /* was 1 */
+
+    /** The maximum length allowed for a ngram. */
+    final static int ABSOLUTE_MAX_NGRAM_LENGTH = 3; /* was 4 */
+
+    /** The default min length of ngram */
+    final static int DEFAULT_MIN_NGRAM_LENGTH = 3;
+
+    /** The default max length of ngram */
+    final static int DEFAULT_MAX_NGRAM_LENGTH = 3;
+
+    /** The ngram profile file extension */
+    final static String FILE_EXTENSION = "ngp";
+
+    /** The profile max size (number of ngrams of the same size) */
+    final static int MAX_SIZE = 1000;
+
+    /** separator char */
+    final static char SEPARATOR = '_';
+    /** The String form of the separator char */
+    private final static String SEP_CHARSEQ = new String(
+            new char[] { SEPARATOR });
+
+    /** The profile's name */
+    private String name = null;
+
+    /** The NGrams of this profile sorted on the number of occurrences */
+    private List<NGramEntry> sorted = null;
+
+    /** The min length of ngram */
+    private int minLength = DEFAULT_MIN_NGRAM_LENGTH;
+
+    /** The max length of ngram */
+    private int maxLength = DEFAULT_MAX_NGRAM_LENGTH;
+
+    /** The total number of ngrams occurences */
+    private int[] ngramcounts = null;
+
+    /** An index of the ngrams of the profile */
+    private Map<CharSequence, NGramEntry> ngrams = null;
+
+    /** A StringBuffer used during analysis */
+    private QuickStringBuffer word = new QuickStringBuffer();
+
+    /**
+     * Constructs a new ngram profile
+     * 
+     * @param name is the name of the profile
+     * @param minlen is the min length of ngram sequences
+     * @param maxlen is the max length of ngram sequences
+     */
+    public LanguageProfilerBuilder(String name, int minlen, int maxlen) {
+        // TODO: Compute the initial capacity using minlen and maxlen.
+        this.ngrams = new HashMap<CharSequence, NGramEntry>(4000);
+        this.minLength = minlen;
+        this.maxLength = maxlen;
+        this.name = name;
+    }
+  
+    /**
+     * Constructs a new ngram profile where minlen=3, maxlen=3
+     * 
+     * @param name is a name of profile, usually two length string
+     * @since Tika 1.0
+     */
+    public LanguageProfilerBuilder(String name) {
+        this.ngrams = new HashMap<CharSequence, NGramEntry>(4000);
+        this.minLength = ABSOLUTE_MIN_NGRAM_LENGTH;
+        this.maxLength = ABSOLUTE_MAX_NGRAM_LENGTH;
+        this.name = name;
+    }
+
+    /**
+     * @return Returns the name.
+     */
+    public String getName() {
+        return name;
+    }
+  
+    // This method was commented because it depends on org.apache.lucene.analysis.Token
+    // that is not a part of the Tika
+    // /**
+    // * Adds ngrams from a token to this profile
+    // *
+    // * @param t is the Token to be added
+    // */
+    // public void add(Token t) {
+    // add(new StringBuffer().append(SEPARATOR)
+    // .append(t.term())
+    // .append(SEPARATOR));
+    // }
+
+    /**
+     * Adds ngrams from a single word to this profile
+     * 
+     * @param word is the word to add
+     */
+    public void add(StringBuffer word) {
+        for (int i = minLength; (i <= maxLength) && (i < word.length()); i++) {
+            add(word, i);
+        }
+    }
+
+    /**
+     * Adds the last NGrams from the specified word.
+     */
+    private void add(QuickStringBuffer word) {
+        int wlen = word.length();
+        if (wlen >= minLength) {
+            int max = Math.min(maxLength, wlen);
+            for (int i = minLength; i <= max; i++) {
+                add(word.subSequence(wlen - i, wlen));
+            }
+        }
+    }
+
+    /**
+     * Adds ngrams from a single word in this profile
+     * 
+     * @param word is the word to add
+     * @param n is the ngram size
+     */
+    private void add(CharSequence cs) {
+
+        if (cs.equals(SEP_CHARSEQ)) {
+            return;
+        }
+        NGramEntry nge = ngrams.get(cs);
+        if (nge == null) {
+            nge = new NGramEntry(cs);
+            ngrams.put(cs, nge);
+        }
+        nge.inc();
+    }
+
+    /**
+     * Analyzes a piece of text
+     * 
+     * @param text
+     *            the text to be analyzed
+     */
+    public void analyze(StringBuilder text) {
+
+        if (ngrams != null) {
+            ngrams.clear();
+            sorted = null;
+            ngramcounts = null;
+        }
+
+        word.clear().append(SEPARATOR);
+        for (int i = 0; i < text.length(); i++) {
+            char c = Character.toLowerCase(text.charAt(i));
+
+            if (Character.isLetter(c)) {
+                add(word.append(c));
+            } else {
+                // found word boundary
+                if (word.length() > 1) {
+                    // we have a word!
+                    add(word.append(SEPARATOR));
+                    word.clear().append(SEPARATOR);
+                }
+            }
+        }
+
+        if (word.length() > 1) {
+            // we have a word!
+            add(word.append(SEPARATOR));
+        }
+        normalize();
+    }
+
+    /**
+     * @param word
+     * @param n sequence length
+     */
+    private void add(StringBuffer word, int n) {
+        for (int i = 0; i <= word.length() - n; i++) {
+            add(word.subSequence(i, i + n));
+        }
+    }
+    
+    /**
+     * Normalizes the profile (calculates the ngrams frequencies)
+     */
+    protected void normalize() {
+        NGramEntry e = null;
+        Iterator<NGramEntry> i = ngrams.values().iterator();
+
+        // Calculates ngram count if not already done
+        if (ngramcounts == null) {
+            ngramcounts = new int[maxLength + 1];
+            while (i.hasNext()) {
+                e = i.next();
+                ngramcounts[e.size()] += e.count;
+            }
+        }
+
+        i = ngrams.values().iterator();
+        while (i.hasNext()) {
+            e = i.next();
+            e.frequency = (float) e.count / (float) ngramcounts[e.size()];
+        }
+    }
+
+    /**
+     * Returns a sorted list of ngrams (sort done by 1. frequency 2. sequence)
+     * 
+     * @return sorted vector of ngrams
+     */
+    public List<NGramEntry> getSorted() {
+        // make sure sorting is done only once
+        if (sorted == null) {
+            sorted = new ArrayList<NGramEntry>(ngrams.values());
+            Collections.sort(sorted);
+
+            // trim at NGRAM_LENGTH entries
+            if (sorted.size() > MAX_SIZE) {
+                sorted = sorted.subList(0, MAX_SIZE);
+            }
+        }
+        return sorted;
+    }
+
+    // Inherited JavaDoc
+    public String toString() {
+
+        StringBuffer s = new StringBuffer().append("NGramProfile: ")
+                                           .append(name).append("\n");
+
+        Iterator<NGramEntry> i = getSorted().iterator();
+
+        while (i.hasNext()) {
+            NGramEntry entry = i.next();
+            s.append("[").append(entry.seq).append("/").append(entry.count)
+                         .append("/").append(entry.frequency).append("]\n");
+        }
+        return s.toString();
+    }
+
+    /**
+     * Calculates a score how well NGramProfiles match each other
+     * 
+     * @param another
+     *            ngram profile to compare against
+     * @return similarity 0=exact match
+     * @throws TikaException
+     *             if could not calculate a score
+     */
+    public float getSimilarity(LanguageProfilerBuilder another)
+            throws TikaException {
+
+        float sum = 0;
+
+        try {
+            Iterator<NGramEntry> i = another.getSorted().iterator();
+            while (i.hasNext()) {
+                NGramEntry other = i.next();
+                if (ngrams.containsKey(other.seq)) {
+                    sum += Math.abs((other.frequency - ngrams.get(other.seq).frequency)) / 2;
+                } else {
+                    sum += other.frequency;
+                }
+            }
+            i = getSorted().iterator();
+            while (i.hasNext()) {
+                NGramEntry other = i.next();
+                if (another.ngrams.containsKey(other.seq)) {
+                    sum += Math.abs((other.frequency - another.ngrams
+                            .get(other.seq).frequency)) / 2;
+                } else {
+                    sum += other.frequency;
+                }
+            }
+        } catch (Exception e) {
+            throw new TikaException("Could not calculate a score how well NGramProfiles match each other");
+        }
+        return sum;
+    }
+
+    /**
+     * Loads a ngram profile from an InputStream (assumes UTF-8 encoded content)
+     * 
+     * @param is the InputStream to read
+     */
+    public void load(InputStream is) throws IOException {
+
+        ngrams.clear();
+        ngramcounts = new int[maxLength + 1];
+        BufferedReader reader = new BufferedReader(new InputStreamReader(is, "UTF-8"));
+        String line = null;
+
+        while ((line = reader.readLine()) != null) {
+
+            // # starts a comment line
+            if (line.charAt(0) != '#') {
+                int spacepos = line.indexOf(' ');
+                String ngramsequence = line.substring(0, spacepos).trim();
+                int len = ngramsequence.length();
+                if ((len >= minLength) && (len <= maxLength)) {
+                    int ngramcount = Integer.parseInt(line.substring(spacepos + 1));
+                    NGramEntry en = new NGramEntry(ngramsequence, ngramcount);
+                    ngrams.put(en.getSeq(), en);
+                    ngramcounts[len] += ngramcount;
+                }
+            }
+        }
+        normalize();
+    }
+    
+    /**
+     * Creates a new Language profile from (preferably quite large - 5-10k of
+     * lines) text file
+     * 
+     * @param name to be given for the profile
+     * @param is a stream to be read
+     * @param encoding is the encoding of stream
+     * 
+     * @throws TikaException if could not create a language profile
+     *  
+     */
+    public static LanguageProfilerBuilder create(String name, InputStream is, String encoding) throws TikaException {
+
+        LanguageProfilerBuilder newProfile = new LanguageProfilerBuilder(name,
+                ABSOLUTE_MIN_NGRAM_LENGTH, ABSOLUTE_MAX_NGRAM_LENGTH);
+        BufferedInputStream bis = new BufferedInputStream(is);
+
+        byte buffer[] = new byte[4096];
+        StringBuilder text = new StringBuilder();
+        int len;
+
+        try {
+            while ((len = bis.read(buffer)) != -1) {
+                text.append(new String(buffer, 0, len, encoding));
+            }
+        } catch (IOException e) {
+            throw new TikaException("Could not create profile, " + e.getMessage());
+        }
+
+        newProfile.analyze(text);
+        return newProfile;
+    }
+
+    /**
+     * Writes NGramProfile content into OutputStream, content is outputted with
+     * UTF-8 encoding
+     * 
+     * @param os the Stream to output to
+     * 
+     * @throws IOException
+     */
+    public void save(OutputStream os) throws IOException {
+        os.write(("# NgramProfile generated at " + new Date() + 
+                  " for Apache Tika Language Identification\n").getBytes());
+
+        // And then each ngram
+
+        // First dispatch ngrams in many lists depending on their size
+        // (one list for each size, in order to store MAX_SIZE ngrams for each
+        // size of ngram)
+        List<NGramEntry> list = new ArrayList<NGramEntry>();
+        List<NGramEntry> sublist = new ArrayList<NGramEntry>();
+        NGramEntry[] entries = ngrams.values().toArray(
+                new NGramEntry[ngrams.size()]);
+        for (int i = minLength; i <= maxLength; i++) {
+            for (int j = 0; j < entries.length; j++) {
+                if (entries[j].getSeq().length() == i) {
+                    sublist.add(entries[j]);
+                }
+            }
+            Collections.sort(sublist);
+            if (sublist.size() > MAX_SIZE) {
+                sublist = sublist.subList(0, MAX_SIZE);
+            }
+            list.addAll(sublist);
+            sublist.clear();
+        }
+        for (int i = 0; i < list.size(); i++) {
+            NGramEntry e = list.get(i);
+            String line = e.toString() + " " + e.getCount() + "\n";
+            os.write(line.getBytes("UTF-8"));
+        }
+        os.flush();
+    }
+
+    /**
+     * main method used for testing only
+     * 
+     * @param args
+     */
+    public static void main(String args[]) {
+
+        // -create he sample_he.txt utf-8
+
+        String usage = "Usage: NGramProfile "
+                + "[-create profilename filename encoding] "
+                + "[-similarity file1 file2] "
+                + "[-score profile-name filename encoding]";
+        int command = 0;
+
+        final int CREATE = 1;
+        final int SIMILARITY = 2;
+        final int SCORE = 3;
+
+        String profilename = "";
+        String filename = "";
+        String filename2 = "";
+        String encoding = "";
+
+        if (args.length == 0) {
+            System.err.println(usage);
+            System.exit(-1);
+        }
+
+        for (int i = 0; i < args.length; i++) { // parse command line
+            if (args[i].equals("-create")) { // found -create option
+                command = CREATE;
+                profilename = args[++i];
+                filename = args[++i];
+                encoding = args[++i];
+            }
+
+            if (args[i].equals("-similarity")) { // found -similarity option
+                command = SIMILARITY;
+                filename = args[++i];
+                filename2 = args[++i];
+                encoding = args[++i];
+            }
+
+            if (args[i].equals("-score")) { // found -Score option
+                command = SCORE;
+                profilename = args[++i];
+                filename = args[++i];
+                encoding = args[++i];
+            }
+        }
+
+        try {
+
+            switch (command) {
+
+            case CREATE:
+
+                File f = new File(filename);
+                FileInputStream fis = new FileInputStream(f);
+                LanguageProfilerBuilder newProfile = LanguageProfilerBuilder
+                        .create(profilename, fis, encoding);
+                fis.close();
+                f = new File(profilename + "." + FILE_EXTENSION);
+                FileOutputStream fos = new FileOutputStream(f);
+                newProfile.save(fos);
+                System.out.println("new profile " + profilename + "."
+                        + FILE_EXTENSION + " was created.");
+                break;
+
+            case SIMILARITY:
+
+                f = new File(filename);
+                fis = new FileInputStream(f);
+                newProfile = LanguageProfilerBuilder.create(filename, fis,
+                        encoding);
+                newProfile.normalize();
+
+                f = new File(filename2);
+                fis = new FileInputStream(f);
+                LanguageProfilerBuilder newProfile2 = LanguageProfilerBuilder
+                        .create(filename2, fis, encoding);
+                newProfile2.normalize();
+                System.out.println("Similarity is "
+                        + newProfile.getSimilarity(newProfile2));
+                break;
+
+            case SCORE:
+                f = new File(filename);
+                fis = new FileInputStream(f);
+                newProfile = LanguageProfilerBuilder.create(filename, fis,
+                        encoding);
+
+                f = new File(profilename + "." + FILE_EXTENSION);
+                fis = new FileInputStream(f);
+                LanguageProfilerBuilder compare = new LanguageProfilerBuilder(
+                        profilename, DEFAULT_MIN_NGRAM_LENGTH,
+                        DEFAULT_MAX_NGRAM_LENGTH);
+                compare.load(fis);
+                System.out.println("Score is "
+                        + compare.getSimilarity(newProfile));
+                break;
+
+            }
+
+        } catch (Exception e) {
+            e.printStackTrace();
+            // throw new TikaException("");
+        }
+    }
+
+  
+    /**
+     * Inner class that describes a NGram
+     */
+    class NGramEntry implements Comparable<NGramEntry> {
+
+        /** The NGRamProfile this NGram is related to */
+        private LanguageProfilerBuilder profile = null;
+
+        /** The sequence of characters of the ngram */
+        CharSequence seq = null;
+
+        /** The number of occurences of this ngram in its profile */
+        private int count = 0;
+
+        /** The frequency of this ngram in its profile */
+        private float frequency = 0.0F;
+
+        /**
+         * Constructs a new NGramEntry
+         * 
+         * @param seq is the sequence of characters of the ngram
+         */
+        public NGramEntry(CharSequence seq) {
+            this.seq = seq;
+        }
+
+        /**
+         * Constructs a new NGramEntry
+         * 
+         * @param seq is the sequence of characters of the ngram
+         * @param count is the number of occurrences of this ngram
+         */
+        public NGramEntry(String seq, int count) {
+            this.seq = new StringBuffer(seq).subSequence(0, seq.length());
+            this.count = count;
+        }
+
+        /**
+         * Returns the number of occurrences of this ngram in its profile
+         * 
+         * @return the number of occurrences of this ngram in its profile
+         */
+        public int getCount() {
+            return count;
+        }
+
+        /**
+         * Returns the frequency of this ngram in its profile
+         * 
+         * @return the frequency of this ngram in its profile
+         */
+        public float getFrequency() {
+            return frequency;
+        }
+
+        /**
+         * Returns the sequence of characters of this ngram
+         * 
+         * @return the sequence of characters of this ngram
+         */
+        public CharSequence getSeq() {
+            return seq;
+        }
+
+        /**
+         * Returns the size of this ngram
+         * 
+         * @return the size of this ngram
+         */
+        public int size() {
+            return seq.length();
+        }
+
+        // Inherited JavaDoc
+        public int compareTo(NGramEntry ngram) {
+            int diff = Float.compare(ngram.getFrequency(), frequency);
+            if (diff != 0) {
+                return diff;
+            } else {
+                return (toString().compareTo(ngram.toString()));
+            }
+        }
+
+        /**
+         * Increments the number of occurrences of this ngram.
+         */
+        public void inc() {
+            count++;
+        }
+
+        /**
+         * Associated a profile to this ngram
+         * 
+         * @param profile
+         *            is the profile associated to this ngram
+         */
+        public void setProfile(LanguageProfilerBuilder profile) {
+            this.profile = profile;
+        }
+
+        /**
+         * Returns the profile associated to this ngram
+         * 
+         * @return the profile associated to this ngram
+         */
+        public LanguageProfilerBuilder getProfile() {
+            return profile;
+        }
+
+        // Inherited JavaDoc
+        public String toString() {
+            return seq.toString();
+        }
+
+        // Inherited JavaDoc
+        public int hashCode() {
+            return seq.hashCode();
+        }
+
+        // Inherited JavaDoc
+        public boolean equals(Object obj) {
+
+            NGramEntry ngram = null;
+            try {
+                ngram = (NGramEntry) obj;
+                return ngram.seq.equals(seq);
+            } catch (Exception e) {
+                return false;
+            }
+        }
+
+    }
+
+    private class QuickStringBuffer implements CharSequence {
+
+        private char value[];
+
+        private int count;
+
+        QuickStringBuffer() {
+            this(16);
+        }
+
+        QuickStringBuffer(char[] value) {
+            this.value = value;
+            count = value.length;
+        }
+
+        QuickStringBuffer(int length) {
+            value = new char[length];
+        }
+
+        QuickStringBuffer(String str) {
+            this(str.length() + 16);
+            append(str);
+        }
+
+        public int length() {
+            return count;
+        }
+
+        private void expandCapacity(int minimumCapacity) {
+            int newCapacity = (value.length + 1) * 2;
+            if (newCapacity < 0) {
+                newCapacity = Integer.MAX_VALUE;
+            } else if (minimumCapacity > newCapacity) {
+                newCapacity = minimumCapacity;
+            }
+
+            char newValue[] = new char[newCapacity];
+            System.arraycopy(value, 0, newValue, 0, count);
+            value = newValue;
+        }
+
+        QuickStringBuffer clear() {
+            count = 0;
+            return this;
+        }
+
+        public char charAt(int index) {
+            return value[index];
+        }
+
+        QuickStringBuffer append(String str) {
+            if (str == null) {
+                str = String.valueOf(str);
+            }
+
+            int len = str.length();
+            int newcount = count + len;
+            if (newcount > value.length) {
+                expandCapacity(newcount);
+            }
+            str.getChars(0, len, value, count);
+            count = newcount;
+            return this;
+        }
+
+        QuickStringBuffer append(char c) {
+            int newcount = count + 1;
+            if (newcount > value.length) {
+                expandCapacity(newcount);
+            }
+            value[count++] = c;
+            return this;
+        }
+
+        public CharSequence subSequence(int start, int end) {
+            return new String(value, start, end - start);
+        }
+
+        public String toString() {
+            return new String(this.value);
+        }
+    }
+}

Added: tika/trunk/tika-core/src/test/java/org/apache/tika/language/LanguageProfilerBuilderTest.java
URL: http://svn.apache.org/viewvc/tika/trunk/tika-core/src/test/java/org/apache/tika/language/LanguageProfilerBuilderTest.java?rev=1147277&view=auto
==============================================================================
--- tika/trunk/tika-core/src/test/java/org/apache/tika/language/LanguageProfilerBuilderTest.java (added)
+++ tika/trunk/tika-core/src/test/java/org/apache/tika/language/LanguageProfilerBuilderTest.java Fri Jul 15 18:48:36 2011
@@ -0,0 +1,97 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.tika.language;
+
+import java.io.BufferedReader;
+import java.io.File;
+import java.io.FileInputStream;
+import java.io.FileOutputStream;
+import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
+import java.net.URISyntaxException;
+
+import junit.framework.Assert;
+import junit.framework.TestCase;
+import org.apache.tika.exception.TikaException;
+import org.apache.tika.io.TikaInputStream;
+
+public class LanguageProfilerBuilderTest extends TestCase {
+    /* Test members */
+    private LanguageProfilerBuilder ngramProfile = null;
+    private LanguageProfile langProfile = null;
+    private final String profileName = "../tika-core/src/test/resources/org/apache/tika/language/langbuilder/"
+            + LanguageProfilerBuilderTest.class.getName();
+    private final String corpusName = "langbuilder/welsh_corpus.txt";
+    private final String encoding = "UTF-8";
+    private final String FILE_EXTENSION = "ngp";
+    private final String LANGUAGE = "welsh";
+    private final int maxlen = 1000;
+
+    public void testCreateProfile() throws TikaException, IOException, URISyntaxException {
+        TikaInputStream is = TikaInputStream.get(LanguageProfilerBuilderTest.class.getResourceAsStream(corpusName));
+        ngramProfile = LanguageProfilerBuilder.create(profileName, is , encoding);
+        File f = new File(profileName + "." + FILE_EXTENSION);
+        FileOutputStream fos = new FileOutputStream(f);
+        ngramProfile.save(fos);
+        fos.close();
+        Assert.assertEquals(maxlen, ngramProfile.getSorted().size());
+    }
+
+    public void testNGramProfile() throws IOException, TikaException, URISyntaxException {
+        createLanguageProfile();
+        LanguageIdentifier.addProfile(LANGUAGE, langProfile);
+        LanguageIdentifier identifier = new LanguageIdentifier(langProfile);
+        Assert.assertEquals(LANGUAGE, identifier.getLanguage());
+        Assert.assertTrue(identifier.isReasonablyCertain());
+    }
+
+    private void createLanguageProfile() throws IOException, TikaException, URISyntaxException {
+        // Sort of dependency injection
+        if (ngramProfile == null)
+            testCreateProfile();
+
+        langProfile = new LanguageProfile();
+
+        InputStream stream = new FileInputStream(new File(profileName + "."
+                + FILE_EXTENSION));
+        try {
+            BufferedReader reader = new BufferedReader(new InputStreamReader(
+                    stream, encoding));
+            String line = reader.readLine();
+            while (line != null) {
+                if (line.length() > 0 && !line.startsWith("#")) {// skips the
+                                                                 // ngp
+                                                                 // header/comment
+                    int space = line.indexOf(' ');
+                    langProfile.add(line.substring(0, space),
+                            Long.parseLong(line.substring(space + 1)));
+                }
+                line = reader.readLine();
+            }
+        } finally {
+            stream.close();
+        }
+    }
+
+    public void tearDown() throws Exception {
+        File profile = new File(profileName + "." + FILE_EXTENSION);
+        if (profile.exists())
+            profile.delete();
+    }
+}