/** * * Funf: Open Sensing Framework * Copyright (C) 2010-2011 Nadav Aharony, Wei Pan, Alex Pentland. * Acknowledgments: Alan Gardner * Contact: nadav@media.mit.edu * * Author(s): Pararth Shah (pararthshah717@gmail.com) * * This file is part of Funf. * * Funf is free software: you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as * published by the Free Software Foundation, either version 3 of * the License, or (at your option) any later version. * * Funf is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. * See the GNU Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with Funf. If not, see <http://www.gnu.org/licenses/>. * */ package edu.mit.media.funf.filter; import java.util.Random; import android.util.Log; import com.google.gson.JsonElement; import edu.mit.media.funf.config.Configurable; import edu.mit.media.funf.datasource.DataSource; import edu.mit.media.funf.json.IJsonObject; import edu.mit.media.funf.probe.Probe.DataListener; import edu.mit.media.funf.util.LogUtil; /** * Passes on data randomly, with a uniform probability equal to * the configured "probability" variable. * * Filters can be registered as a DataListener to any data source, * for eg. probes or other filters. Filters listen for data from * the source, and if certain specified conditions are met, * they forward the data to their own Data Listener. * * For the ProbabilisticFilter, the "probability" variable * must be set to the required probability, in the range [0,1]. * * Values less than 0 will be considered as 0, and greater than 1 * will be considered as 1. * */ public class ProbabilisticFilter implements DataListener, DataSource { /** * Probability with which the filter should forward data. * Values less than 0 will be considered as 0, and greater than 1 * will be considered as 1. */ @Configurable private double probability = 0.5; @Configurable private DataListener listener; private Random generator; ProbabilisticFilter() { long seed = System.currentTimeMillis(); generator = new Random(seed); } public ProbabilisticFilter(DataListener listener) { this(); this.listener = listener; } @Override public void onDataReceived(IJsonObject dataSourceConfig, IJsonObject data) { double random = generator.nextDouble(); Log.d(LogUtil.TAG, "generated probability: " + random); if (random < probability) { listener.onDataReceived(dataSourceConfig, data); } } @Override public void onDataCompleted(IJsonObject dataSourceConfig, JsonElement checkpoint) { listener.onDataCompleted(dataSourceConfig, checkpoint); } @Override public void setListener(DataListener listener) { this.listener = listener; } }