/**
 * Copyright 2010 Neuroph Project http://neuroph.sourceforge.net
 *
 * 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 org.neuroph.util;

import java.lang.reflect.Constructor;
import java.lang.reflect.InvocationTargetException;
import org.neuroph.core.Neuron;
import org.neuroph.core.exceptions.NeurophException;
import org.neuroph.core.input.InputFunction;
import org.neuroph.core.transfer.TransferFunction;
import org.neuroph.nnet.comp.neuron.InputOutputNeuron;
import org.neuroph.nnet.comp.neuron.ThresholdNeuron;

/**
 * Provides methods to create customized instances of Neuron.
 * @author Zoran Sevarac 
 */
public class NeuronFactory {

         /**
         * Private constructor prevents creating an instances of this class.
         */
        private NeuronFactory() { }
    
	/**
	 * Creates and returns neuron instance according to the given specification in neuronProperties.
	 * 
	 * @param neuronProperties
	 *            specification of neuron properties
	 * @return returns instance of neuron with specified properties
	 */
	public static Neuron createNeuron(NeuronProperties neuronProperties) {

                InputFunction inputFunction = null;
                Class inputFunctionClass = neuronProperties.getInputFunction();
                
                if ( inputFunctionClass != null) {
                    inputFunction = createInputFunction(inputFunctionClass);
                }

		TransferFunction transferFunction = createTransferFunction(neuronProperties.getTransferFunctionProperties());

		Neuron neuron = null;
		Class neuronClass = neuronProperties.getNeuronType();

                // use two param constructor to create neuron
                    try {
                        Class[] paramTypes = {InputFunction.class, TransferFunction.class};
                        Constructor con = neuronClass.getConstructor(paramTypes);

                        Object[] paramList = new Object[2];
                        paramList[0] = inputFunction;
                        paramList[1] = transferFunction;
                        
                        neuron = (Neuron) con.newInstance(paramList);

                    }  catch (NoSuchMethodException e) {
                    //    throw new NeurophException("NoSuchMethod while creating Neuron!", e);
                    } catch (InstantiationException e) {
                         throw new NeurophException("InstantiationException while creating Neuron!", e);
                    } catch (IllegalAccessException e) {
                        throw new NeurophException("IllegalAccessException while creating Neuron!", e);
                    } catch (InvocationTargetException e) {
                        throw new NeurophException("InvocationTargetException while creating Neuron!", e);
                    }

                    if (neuron == null) {
                        // use constructor without params to create neuron
                        try {
                            neuron = (Neuron) neuronClass.newInstance();
                        } catch(IllegalAccessException e) {
                            System.err.println("InstantiationException while creating Neuron!");
                            e.printStackTrace();
                        } catch (InstantiationException e) {
                            System.err.println("InstantiationException while creating Neuron!");
                            e.printStackTrace();
                        }
                    }
                
                    if  (neuronProperties.hasProperty("thresh")) {
                        ((ThresholdNeuron)neuron).setThresh((Double)neuronProperties.getProperty("thresh"));
                    } else if  (neuronProperties.hasProperty("bias")) {
                        ((InputOutputNeuron)neuron).setBias((Double)neuronProperties.getProperty("bias"));
                    }

                     return neuron;                    

	}


        private static InputFunction createInputFunction(Class inputFunctionClass) {
            InputFunction inputFunction = null;

            try {
                inputFunction = (InputFunction) inputFunctionClass.newInstance();
            } catch (InstantiationException e) {
                throw new NeurophException("InstantiationException while creating InputFunction!", e);                
            } catch (IllegalAccessException e) {
                throw new NeurophException("IllegalAccessException while creating InputFunction!", e);     
            }

            return inputFunction;
        }


	/**
	 * Creates and returns instance of transfer function
	 * 
	 * @param tfProperties
	 *            transfer function properties
	 * @return returns transfer function
	 */
	private static TransferFunction createTransferFunction(Properties tfProperties) {
		TransferFunction transferFunction = null;

		Class  tfClass = (Class)tfProperties.getProperty("transferFunction");

                    try {
                        Class[] paramTypes = null;

                        Constructor[] cons = tfClass.getConstructors();
                        for (int i=0; i