clean up

src/main/java/roboy/dialog/personality/SmallTalkPersonality.java

@@ -67,20 +67,11 @@ public SmallTalkPersonality(Verbalizer verbalizer) {
         questions.put("movies", moviesQuestions);
         questions.put("occupation", occupationQuestions);
 
-//        InquiryState inquiry = new InquiryState("How are you?", positive, "That's not good enough. Again: ");
-//		InquiryState inquiry2 = new InquiryState("So, anything else you want to talk about?", Lists.stringList(), "");
-//        GenerativeCommunicationState generative = new GenerativeCommunicationState();
-//        QuestionAnsweringState answer = new QuestionAnsweringState();
-//        SegueState segue = new SegueState(answer);
-//        CelebrityState celeb = new CelebrityState(segue);
-        //TODO detect goodbye from all the states
-
         // build state machine
         GreetingState greetings = new GreetingState();
         IntroductionState intro = new IntroductionState();
         FarewellState farewell = new FarewellState();
         WildTalkState wild = new WildTalkState();
-        GenerativeCommunicationState generative = new GenerativeCommunicationState();
         IdleState idle = new IdleState();
 
         QuestionAnsweringState answer = new QuestionAnsweringState(wild);
@@ -94,8 +85,6 @@ public SmallTalkPersonality(Verbalizer verbalizer) {
         greetings.setNextState(intro);
         intro.setNextState(ask);
         wild.setNextState(answer);
-//        wild.setSuccess(wild);
-//        wild.setFailure(farewell);
 
         state = greetings;
     }

src/main/java/roboy/dialog/personality/states/QuestionAnsweringState.java

@@ -128,39 +128,6 @@ public Reaction react(Interpretation input) {
 		return new Reaction(this, result);
 	}
 
-
-	/**
-	 * Checks all its memories (currently only the DBpedia) for an answer to the given
-	 * question.
-	 * 
-	 * @param input The interpretation of all inputs
-	 * @param result The list of answers that is possibly replaced
-	 * @return the reaction to the question
-	 */
-	@SuppressWarnings("unchecked")
-	private Reaction innerReaction(Interpretation input,List<Interpretation> result){
-//		Map<String, Object> pas = (Map<String, Object>) input.getFeature(Linguistics.PAS);
-//		if(pas!=null && !pas.isEmpty()){
-//			Relation relation = PASInterpreter.pas2DBpediaRelation(pas);
-////			System.out.println("Relation: "+relation);
-//			for(Memory<Relation> mem : memories){
-//				try{
-//					List<Relation> rememberedList = mem.retrieve(relation);
-//					for (Relation remembered: rememberedList)
-//					{
-//						if(remembered!=null&&remembered.object!=null){ // TODO: check for proper role
-//						result.add(new Interpretation((String)remembered.object.getAttribute(Linguistics.NAME)));
-//						return new Reaction(top,result);
-//					}
-//					}
-//
-//				} catch(Exception e){}
-//			}
-//		}
-//		return inner.react(input);
-		return new Reaction(this,Lists.interpretationList(new Interpretation("oh man, no idea what to say")));
-	}
-
 	private List<Triple> remember(String predicate, String agens, String patiens){
 		List<Triple> triples = new ArrayList<>();
 		for(Triple t: memory){

src/main/java/roboy/dialog/personality/states/QuestionAskingState.java

@@ -129,13 +129,8 @@ public Reaction react(Interpretation input)
 		}
 
 		// react to the answer of the person
-
 		List<Interpretation> reply = checkOwnMemory(input); // if the question was about Roboy
 
-//		if (!reply.isEmpty())
-//		{
-//			return new Reaction(determineNextState(input), reply);
-//		}
 
 		reply.add(checkRoboyMind()); // in case Roboy knows a person with same name, hobby, etc.
 		return new Reaction(determineNextState(input), reply);

src/main/java/roboy/dialog/personality/states/WildTalkState.java

@@ -31,13 +31,8 @@ public List<Interpretation> act() {
 
     @Override
     public Reaction react(Interpretation input) {
-//        String sentence = (String) input.getFeatures().get(Linguistics.SENTENCE);
-//        if(!sentence.isEmpty()) {
-//            return new Reaction(super.this, Lists.interpretationList(new Interpretation(callGenerativeModel(sentence))));
-//        }
         //get out of the talking mode when leave the state
         talking = false;
-//        return new Reaction(failure,Lists.interpretationList(new Interpretation(callGenerativeModel(sentence))));
         return super.react(input);
     }