Update clustering

pom.xml

@@ -1,13 +1,13 @@
 <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
-  <modelVersion>4.0.0</modelVersion>
+	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+	<modelVersion>4.0.0</modelVersion>
 
-  <groupId>kb</groupId>
-  <artifactId>howtokb</artifactId>
-  <version>0.0.1-SNAPSHOT</version>
-  <packaging>jar</packaging>
-  
-  <build>
+	<groupId>kb</groupId>
+	<artifactId>howtokb</artifactId>
+	<version>0.0.1-SNAPSHOT</version>
+	<packaging>jar</packaging>
+
+	<build>
 		<sourceDirectory>src</sourceDirectory>
 		<plugins>
 			<plugin>
@@ -33,7 +33,6 @@
 					</descriptorRefs>
 				</configuration>
 
-
 				<executions>
 					<execution>
 						<phase>package</phase>
@@ -44,7 +43,7 @@
 							<transformers>
 								<transformer
 									implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
-									<mainClass>test.java.kb.howtokb.TextToWikiHowTaskFrameTest</mainClass>
+									<mainClass>kb.howtokb.clustering.HeuristicBottomUpClusteringTest</mainClass>
 								</transformer>
 							</transformers>
 						</configuration>
@@ -54,4 +53,42 @@
 			</plugin>
 		</plugins>
 	</build>
+	<properties>
+		<maven.compiler.source>1.7</maven.compiler.source>
+		<maven.compiler.target>1.7</maven.compiler.target>
+	</properties>
+	<dependencies>
+		<dependency>
+			<groupId>com.googlecode.json-simple</groupId>
+			<artifactId>json-simple</artifactId>
+			<version>1.1.1</version>
+		</dependency>
+		<dependency>
+			<groupId>org.jsoup</groupId>
+			<artifactId>jsoup</artifactId>
+			<version>1.9.1</version>
+		</dependency>
+		<dependency>
+			<groupId>edu.stanford.nlp</groupId>
+			<artifactId>stanford-corenlp</artifactId>
+			<version>3.3.0</version>
+		</dependency>
+		<dependency>
+			<groupId>edu.washington.cs.knowitall.openie</groupId>
+			<artifactId>openie_2.10</artifactId>
+			<version>4.2.1</version>
+		</dependency>
+		<dependency>
+			<groupId>colt</groupId>
+			<artifactId>colt</artifactId>
+			<version>1.2.0</version>
+		</dependency>
+		<dependency>
+			<groupId>niket.tools</groupId>
+			<artifactId>javatools</artifactId>
+			<version>1.0.0</version>
+		</dependency>
+
+	</dependencies>
+
 </project>

src/main/java/kb/howtokb/clustering/HeuristicBottomupClustering.java

@@ -1,8 +1,9 @@
 package kb.howtokb.clustering;
 
 import java.io.BufferedReader;
-import java.io.FileReader;
 import java.io.IOException;
+import java.io.InputStream;
+import java.io.InputStreamReader;
 import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.List;
@@ -81,7 +82,9 @@ public HeuristicBottomupClustering(Map<Integer, ActivityWordsCategory> activityT
 	}
 
 	private void loadElemsFromDb(String activityTb) throws IOException {
-		try (BufferedReader br = new BufferedReader(new FileReader(activityTb))) {
+		ClassLoader classLoader = Thread.currentThread().getContextClassLoader();
+		InputStream inputs = classLoader.getResourceAsStream(activityTb);
+		try (BufferedReader br = new BufferedReader(new InputStreamReader(inputs, "UTF-8"))) {
 			String sCurrentLine;
 			while ((sCurrentLine = br.readLine()) != null) {
 				String [] line = sCurrentLine.split("\t");

src/main/java/kb/howtokb/tools/InformationExtraction.java

@@ -11,14 +11,17 @@
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
+import java.util.Map.Entry;
 
 import org.json.simple.JSONObject;
 import org.json.simple.parser.JSONParser;
 import org.json.simple.parser.ParseException;
 
 import kb.howtokb.reader.TaskFrameReader;
 import kb.howtokb.taskframe.WikiHowTaskFrame;
+import kb.howtokb.utils.AutoMap;
 import kb.howtokb.utils.SQLiteJDBCConnector;
+import kb.howtokb.wkhobject.Category_Json;
 
 public class InformationExtraction {
 
@@ -141,6 +144,57 @@ public static List<WikiHowTaskFrame> getAllFrame(String inputfile) throws IOExce
 		return allframe;
 	}
 
+	// Get all activity frame in a same category
+	/**
+	 * Get all frame which have the same category parent
+	 * @param allframe
+	 * @param category
+	 * @return
+	 * @throws Exception
+	 */
+	public List<WikiHowTaskFrame> getFrameFromCategory(List<WikiHowTaskFrame> allframe, String category) throws Exception {
+		System.out.println("Get a list of activities in a same category " + category);
+		List<WikiHowTaskFrame> list = new ArrayList<>();
+		List<Integer> listCate = InformationExtraction.getListofAllChildren(InformationExtraction.getCategoryID(category));
+
+		for (int i = 0; i < allframe.size(); i++) {
+			if (listCate.contains(Integer.parseInt(allframe.get(i).getActivity().getCategoryID()))) {
+				list.add(allframe.get(i));
+			}
+		}
+		System.out.println("Number of activities in a same category: " + list.size());
+		return list;
+	}
+
+	// get all children of a category
+	/**
+	 * Get all categories which are children of a given category
+	 * @param id
+	 * @return
+	 * @throws SQLException
+	 * @throws ClassNotFoundException
+	 * @throws IOException
+	 */
+	public static List<Integer> getListofAllChildren(int id) throws SQLException, ClassNotFoundException, IOException {
+		Map<Integer, List<Integer>> parentChains = new AutoMap<>();
+		// "rootpath":[57,54,52,150,1]
+		ResultSet rs = SQLiteJDBCConnector.q("select id, json from categoryjson");
+		while (rs.next()) {
+			try {
+				parentChains.put(rs.getInt(1), Category_Json.fromJson(rs.getString(2)).getRootpath());
+			} catch (Exception e) {
+				System.out.print("\n---- JSONException in category: " + rs.getInt(1));
+			}
+		}
+		List<Integer> res = new ArrayList<>();
+		for (Entry<Integer, List<Integer>> e : parentChains.entrySet()) {
+			if (e.getValue().contains(id))
+				if (!res.contains(e.getKey()))
+					res.add(e.getKey());
+		}
+		return res;
+	}
+
 	/**
 	 * get map <id, activity frame> from a file
 	 * @param inputfile

src/main/java/kb/howtokb/utils/SQLiteJDBCConnector.java

@@ -75,7 +75,7 @@ public static void createDB() throws SQLException, ClassNotFoundException, IOExc
 
 			rs = st.executeQuery("select json from categoryjson where id=1;");
 			if (!rs.next()){
-				String input = "/var/tmp/cxchu/data-server/For-Database/wikihow-id-category.json";
+				String input = "/var/tmp/cxchu/wikihow-id-category.json";
 				System.out.println("Updating data into table 'category'.....");
 				update(st, "categoryjson", input);
 			}

src/test/java/kb/howtokb/TaskFrameReaderTest.java

@@ -1,6 +1,10 @@
 package kb.howtokb;
 
+import java.io.BufferedWriter;
+import java.io.FileOutputStream;
 import java.io.IOException;
+import java.io.OutputStreamWriter;
+import java.io.Writer;
 import java.util.ArrayList;
 
 import org.json.simple.parser.ParseException;
@@ -10,15 +14,25 @@
 
 public class TaskFrameReaderTest {
 	public static void main(String[] args) throws ClassNotFoundException, IOException, ParseException {
-		String input = "/var/tmp/cxchu/act-frame-test.json";
+		String input = "/var/tmp/cxchu/data-wordnet/act-frame.json";
 
 		ArrayList<WikiHowTaskFrame> allframe = TaskFrameReader.extractWikiHowTaskFrameFromJSONFile(input);
 
+		Writer textout = new BufferedWriter(new OutputStreamWriter(
+				new FileOutputStream("/var/tmp/cxchu/data-wordnet/act-frame-wikihow-task.json"), "utf-8"));
+
 		for (WikiHowTaskFrame f: allframe){
-			System.out.println(f.toString());
+
+			if (f.getActivity().getSubActivities().size() > 0){
+				textout.write(f.toJsonObject().toJSONString() + "\n");
+			}
+
+			//System.out.println(f.toString());
 		}
 
 		System.out.println("Total of frames: " + allframe.size());
 
+		textout.close();
+
 	}
 }

src/test/java/kb/howtokb/TextToWikiHowTaskFrameTest.java

@@ -19,19 +19,19 @@
 public class TextToWikiHowTaskFrameTest {
 
 	public static void main(String[] args) throws ClassNotFoundException, IOException, ParseException {
-		System.setOut(new PrintStream(new FileOutputStream("log.txt")));
+		//System.setOut(new PrintStream(new FileOutputStream("log.txt")));
 
 		TextToWikiHowTaskFrame extract = new TextToWikiHowTaskFrame();
 		// Extract all question
 		System.out.println("Reading json data file.....");
-		String input = "/var/tmp/cxchu/data-test/articles_test.json";
+		String input = "/var/tmp/cxchu/data-for-test-code/articles_test.json";
 		ArrayList<Question> allQuestions = WikiHowArticleReader.WikiHowArticleReaderFromJSONFile(input);
 		int frames = 0;
 		try {
 			Writer textout = new BufferedWriter(new OutputStreamWriter(
-					new FileOutputStream("/var/tmp/cxchu/data-test/act-frame.json"), "utf-8"));
+					new FileOutputStream("/var/tmp/cxchu/data-for-test-code/act-frame.json"), "utf-8"));
 			Writer idtextout = new BufferedWriter(new OutputStreamWriter(
-					new FileOutputStream("/var/tmp/cxchu/data-test/id-act-frame.json"), "utf-8"));
+					new FileOutputStream("/var/tmp/cxchu/data-for-test-code/id-act-frame.json"), "utf-8"));
 
 			int i = 1;
 

src/test/java/kb/howtokb/clustering/HeuristicBottomUpClusteringTest.java

@@ -1,17 +1,23 @@
 package kb.howtokb.clustering;
 
+import java.io.BufferedWriter;
+import java.io.FileOutputStream;
+import java.io.OutputStreamWriter;
+import java.io.Writer;
 import java.util.List;
 
 import kb.howtokb.clustering.HeuristicBottomupClustering.ActivitySuperCluster;
 import kb.howtokb.clustering.sim.Coefficient;
+import kb.howtokb.taskframe.WikiHowTaskFrame;
+import kb.howtokb.tools.InformationExtraction;
 
 public class HeuristicBottomUpClusteringTest {
 	public static void main(String[] args) throws Exception {
 
 		long startTime = System.currentTimeMillis();
 
 
-		String activityTb = "resources/all-words-category.txt";
+		String activityTb = "all-words-category.txt";
 		HeuristicBottomupClustering cluster = new HeuristicBottomupClustering(activityTb);
 
 		double threshold = Coefficient.VVNN_TRHES;
@@ -20,27 +26,27 @@ public static void main(String[] args) throws Exception {
 		SimplePruningSimilarity simFunc = new SimplePruningSimilarity(threshold, model, allAct);
 		List<ActivitySuperCluster> results = cluster.cluster(simFunc, Coefficient.VVNN_TRHES);
 		System.out.println("Number of clusters: " + results.size());
-//		String output = "/var/tmp/cxchu/clustering-result/bottom-up-cluster-";
+		String output = "/var/tmp/cxchu/clustering-result-wikihow-task/bottom-up-cluster-";
 
-//		String input = "/var/tmp/cxchu/act-frame-test.json"; //original data point file
-//		List<WikiHowTaskFrame> allframe = InformationExtraction.getAllFrame(input);
+		String input = "/var/tmp/cxchu/data-server/For-Database/act-frame-wikihow-task.json"; //original data point file
+		List<WikiHowTaskFrame> allframe = InformationExtraction.getAllFrame(input);
 		int total = 0;
 		for (int i = 0; i < results.size(); i++) {
 			System.out.println("Cluster " + i + ": " + results.get(i).getSuperClusterMembers().size());
-//			Writer out = new BufferedWriter(new OutputStreamWriter(
-//					new FileOutputStream(output+i+".json"), "utf-8"));
-//			 List<Integer> actitiviesID =
-//					 results.get(i).getSuperClusterMembers();
-//			 for (int j=0; j<allframe.size(); j++){
-//				 if (actitiviesID.contains(allframe.get(j).getID())){
-//					 out.write(allframe.get(j).toJsonObject().toJSONString() + "\n");
-//					 allframe.remove(j);
-//					 j--;
-//					 total++;
-//				 }
-//			 }
-//			 
-//			 out.close();
+			Writer out = new BufferedWriter(new OutputStreamWriter(
+					new FileOutputStream(output+i+".json"), "utf-8"));
+			 List<Integer> actitiviesID =
+					 results.get(i).getSuperClusterMembers();
+			 for (int j=0; j<allframe.size(); j++){
+				 if (actitiviesID.contains(allframe.get(j).getID())){
+					 out.write(allframe.get(j).toJsonObject().toJSONString() + "\n");
+					 allframe.remove(j);
+					 j--;
+					 total++;
+				 }
+			 }
+
+			 out.close();
 		}
 
 		long endTime   = System.currentTimeMillis();