be.iminds.iot.dianne.builder.DianneDatasets.java Source code

Introduction

Here is the source code for be.iminds.iot.dianne.builder.DianneDatasets.java

Source

/*******************************************************************************
 * DIANNE  - Framework for distributed artificial neural networks
 * Copyright (C) 2015  iMinds - IBCN - UGent
 *
 * This file is part of DIANNE.
 *
 * DIANNE is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Affero General Public License as
 * published by the Free Software Foundation, either version 3 of the
 * License, or (at your option) any later version.
 *
 * This program 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 Affero General Public License for more details.
 *
 * You should have received a copy of the GNU Affero General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 *
 * Contributors:
 *     Tim Verbelen, Steven Bohez
 *******************************************************************************/
package be.iminds.iot.dianne.builder;

import java.io.IOException;
import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;
import java.util.Random;

import javax.servlet.ServletException;
import javax.servlet.http.HttpServlet;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;

import org.osgi.service.component.annotations.Component;
import org.osgi.service.component.annotations.Reference;
import org.osgi.service.component.annotations.ReferenceCardinality;
import org.osgi.service.component.annotations.ReferencePolicy;

import be.iminds.iot.dianne.api.dataset.Dataset;
import be.iminds.iot.dianne.tensor.Tensor;

import com.google.gson.JsonArray;
import com.google.gson.JsonObject;
import com.google.gson.JsonParser;
import com.google.gson.JsonPrimitive;

@Component(service = { javax.servlet.Servlet.class }, property = { "alias:String=/dianne/datasets",
        "osgi.http.whiteboard.servlet.pattern=/dianne/datasets", "aiolos.proxy=false" }, immediate = true)
public class DianneDatasets extends HttpServlet {

    private Random rand = new Random(System.currentTimeMillis());
    private JsonParser parser = new JsonParser();

    private Map<String, Dataset> datasets = Collections.synchronizedMap(new HashMap<String, Dataset>());

    @Reference(cardinality = ReferenceCardinality.AT_LEAST_ONE, policy = ReferencePolicy.DYNAMIC)
    void addDataset(Dataset dataset, Map<String, Object> properties) {
        String name = (String) properties.get("name");
        this.datasets.put(name, dataset);
    }

    void removeDataset(Dataset dataset, Map<String, Object> properties) {
        String name = (String) properties.get("name");
        datasets.remove(name);
    }

    @Override
    protected void doPost(HttpServletRequest request, HttpServletResponse response)
            throws ServletException, IOException {

        String action = request.getParameter("action");

        if (action.equals("available-datasets")) {
            JsonArray result = new JsonArray();
            synchronized (datasets) {
                for (Dataset d : datasets.values()) {
                    JsonObject r = new JsonObject();
                    r.add("dataset", new JsonPrimitive(d.getName()));
                    r.add("size", new JsonPrimitive(d.size()));
                    JsonArray labels = new JsonArray();
                    for (String l : d.getLabels()) {
                        labels.add(new JsonPrimitive(l));
                    }
                    r.add("labels", labels);
                    result.add(r);
                }
            }
            response.getWriter().println(result.toString());
            response.getWriter().flush();
        } else if (action.equals("sample")) {
            String dataset = request.getParameter("dataset");
            Dataset d = datasets.get(dataset);
            if (d != null) {
                JsonObject sample = new JsonObject();

                Tensor t = d.getInputSample(rand.nextInt(d.size()));

                if (t.dims().length == 3) {
                    sample.add("channels", new JsonPrimitive(t.dims()[0]));
                    sample.add("height", new JsonPrimitive(t.dims()[1]));
                    sample.add("width", new JsonPrimitive(t.dims()[2]));
                } else {
                    sample.add("channels", new JsonPrimitive(1));
                    sample.add("height", new JsonPrimitive(t.dims()[0]));
                    sample.add("width", new JsonPrimitive(t.dims()[1]));
                }
                sample.add("data", parser.parse(Arrays.toString(t.get())));
                response.getWriter().println(sample.toString());
                response.getWriter().flush();
            }
        }
    }
}