1/* 2 * Copyright (C) 2012 The Android Open Source Project 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17package android.bordeaux.services; 18 19import android.bordeaux.services.IPredictor; 20import android.content.Context; 21import android.os.RemoteException; 22import android.util.Log; 23import android.util.Pair; 24 25import java.util.ArrayList; 26import java.util.List; 27import java.util.HashMap; 28import java.util.Map; 29 30/** Predictor for the Learning framework. 31 */ 32public class BordeauxPredictor { 33 static final String TAG = "BordeauxPredictor"; 34 static final String PREDICTOR_NOTAVAILABLE = "Predictor is not available."; 35 private Context mContext; 36 private String mName; 37 private IPredictor mPredictor; 38 39 public BordeauxPredictor(Context context) { 40 mContext = context; 41 mName = "defaultPredictor"; 42 mPredictor = BordeauxManagerService.getPredictor(context, mName); 43 } 44 45 public BordeauxPredictor(Context context, String name) { 46 mContext = context; 47 mName = name; 48 mPredictor = BordeauxManagerService.getPredictor(context, mName); 49 } 50 51 public boolean reset() { 52 if (!retrievePredictor()){ 53 Log.e(TAG, "reset: " + PREDICTOR_NOTAVAILABLE); 54 return false; 55 } 56 try { 57 mPredictor.resetPredictor(); 58 return true; 59 } catch (RemoteException e) { 60 } 61 return false; 62 } 63 64 public boolean retrievePredictor() { 65 if (mPredictor == null) { 66 mPredictor = BordeauxManagerService.getPredictor(mContext, mName); 67 } 68 if (mPredictor == null) { 69 Log.e(TAG, "retrievePredictor: " + PREDICTOR_NOTAVAILABLE); 70 return false; 71 } 72 return true; 73 } 74 75 public void addSample(String sampleName) { 76 if (!retrievePredictor()) 77 throw new RuntimeException(PREDICTOR_NOTAVAILABLE); 78 try { 79 mPredictor.pushNewSample(sampleName); 80 } catch (RemoteException e) { 81 Log.e(TAG,"Exception: pushing a new example"); 82 throw new RuntimeException(PREDICTOR_NOTAVAILABLE); 83 } 84 } 85 86 public ArrayList<Pair<String, Float> > getTopSamples() { 87 return getTopSamples(0); 88 } 89 90 public ArrayList<Pair<String, Float> > getTopSamples(int topK) { 91 try { 92 ArrayList<StringFloat> topList = 93 (ArrayList<StringFloat>) mPredictor.getTopCandidates(topK); 94 95 ArrayList<Pair<String, Float> > topSamples = 96 new ArrayList<Pair<String, Float> >(topList.size()); 97 for (int i = 0; i < topList.size(); ++i) { 98 topSamples.add(new Pair<String, Float>(topList.get(i).key, topList.get(i).value)); 99 } 100 return topSamples; 101 } catch(RemoteException e) { 102 Log.e(TAG,"Exception: getTopSamples"); 103 throw new RuntimeException(PREDICTOR_NOTAVAILABLE); 104 } 105 } 106 107 public boolean setParameter(String key, String value) { 108 if (!retrievePredictor()) 109 throw new RuntimeException(PREDICTOR_NOTAVAILABLE); 110 try { 111 return mPredictor.setPredictorParameter(key, value); 112 } catch (RemoteException e) { 113 Log.e(TAG,"Exception: setting predictor parameter"); 114 throw new RuntimeException(PREDICTOR_NOTAVAILABLE); 115 } 116 } 117} 118