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/*
* Copyright (C) 2012 The Android Open Source Project
*
* Licensed 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 android.bordeaux.services;
import android.bordeaux.services.IPredictor;
import android.content.Context;
import android.os.RemoteException;
import android.util.Log;
import android.util.Pair;
import java.util.ArrayList;
import java.util.List;
import java.util.HashMap;
import java.util.Map;
/** Predictor for the Learning framework.
*/
public class BordeauxPredictor {
static final String TAG = "BordeauxPredictor";
static final String PREDICTOR_NOTAVAILABLE = "Predictor is not available.";
private Context mContext;
private String mName;
private IPredictor mPredictor;
public BordeauxPredictor(Context context) {
mContext = context;
mName = "defaultPredictor";
mPredictor = BordeauxManagerService.getPredictor(context, mName);
}
public BordeauxPredictor(Context context, String name) {
mContext = context;
mName = name;
mPredictor = BordeauxManagerService.getPredictor(context, mName);
}
public boolean reset() {
if (!retrievePredictor()){
Log.e(TAG, "reset: " + PREDICTOR_NOTAVAILABLE);
return false;
}
try {
mPredictor.resetPredictor();
return true;
} catch (RemoteException e) {
}
return false;
}
public boolean retrievePredictor() {
if (mPredictor == null) {
mPredictor = BordeauxManagerService.getPredictor(mContext, mName);
}
if (mPredictor == null) {
Log.e(TAG, "retrievePredictor: " + PREDICTOR_NOTAVAILABLE);
return false;
}
return true;
}
public void addSample(String sampleName) {
if (!retrievePredictor())
throw new RuntimeException(PREDICTOR_NOTAVAILABLE);
try {
mPredictor.pushNewSample(sampleName);
} catch (RemoteException e) {
Log.e(TAG,"Exception: pushing a new example");
throw new RuntimeException(PREDICTOR_NOTAVAILABLE);
}
}
public ArrayList<Pair<String, Float> > getTopSamples() {
return getTopSamples(0);
}
public ArrayList<Pair<String, Float> > getTopSamples(int topK) {
try {
ArrayList<StringFloat> topList =
(ArrayList<StringFloat>) mPredictor.getTopCandidates(topK);
ArrayList<Pair<String, Float> > topSamples =
new ArrayList<Pair<String, Float> >(topList.size());
for (int i = 0; i < topList.size(); ++i) {
topSamples.add(new Pair<String, Float>(topList.get(i).key, topList.get(i).value));
}
return topSamples;
} catch(RemoteException e) {
Log.e(TAG,"Exception: getTopSamples");
throw new RuntimeException(PREDICTOR_NOTAVAILABLE);
}
}
public boolean setParameter(String key, String value) {
if (!retrievePredictor())
throw new RuntimeException(PREDICTOR_NOTAVAILABLE);
try {
return mPredictor.setPredictorParameter(key, value);
} catch (RemoteException e) {
Log.e(TAG,"Exception: setting predictor parameter");
throw new RuntimeException(PREDICTOR_NOTAVAILABLE);
}
}
}
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