/*******************************************************************************
*   Copyright 2013 Analog Devices, Inc.
*
*   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 com.analog.lyric.dimple.solvers.gibbs.samplers.conjugate;

import static com.analog.lyric.dimple.environment.DimpleEnvironment.*;
import static java.util.Objects.*;

import java.util.List;

import org.eclipse.jdt.annotation.Nullable;

import com.analog.lyric.dimple.data.IDatum;
import com.analog.lyric.dimple.factorfunctions.Normal;
import com.analog.lyric.dimple.factorfunctions.core.IUnaryFactorFunction;
import com.analog.lyric.dimple.model.domains.RealDomain;
import com.analog.lyric.dimple.solvers.core.parameterizedMessages.IParameterizedMessage;
import com.analog.lyric.dimple.solvers.core.parameterizedMessages.NormalParameters;
import com.analog.lyric.dimple.solvers.interfaces.ISolverEdgeState;

public class NormalSampler implements IRealConjugateSampler
{
	private final double MAX_SIGMA = 1e12;
	private final NormalParameters _parameters = new NormalParameters();
	
	@Override
	public final double nextSample(ISolverEdgeState[] edges, List<? extends IDatum> inputs)
	{
		aggregateParameters(_parameters, edges, inputs);
		return nextSample(_parameters);
	}
	
	@Override
	public final void aggregateParameters(IParameterizedMessage aggregateParameters, ISolverEdgeState[] edges,
		List<? extends IDatum> inputs)
	{
		NormalParameters parameters = (NormalParameters)aggregateParameters;
		parameters.setNull();
		
		for (IDatum input : inputs)
		{
			NormalParameters normalInput;
			
			if (input instanceof NormalParameters)
			{
				normalInput = (NormalParameters)input;
			}
			else if (input instanceof Normal)
			{
				normalInput = ((Normal)input).getParameterizedMessage();
			}
			else
				continue; // should be impossible

			parameters.addFrom(normalInput);
		}
		
		final int numEdges = edges.length;
		for (int i = 0; i < numEdges; i++)
		{
			// The message from each neighboring factor is an array with elements (mean, precision)
			NormalParameters message = requireNonNull((NormalParameters)edges[i].getFactorToVarMsg());
			parameters.addFrom(message);
		}
	}
	
	public final double nextSample(NormalParameters parameters)
	{
		double mean = parameters.getMean();
		double precision = parameters.getPrecision();
		double normal = activeRandom().nextGaussian();
		if (precision > 0)
			return mean + normal / Math.sqrt(precision);
		else
			return mean + normal * MAX_SIGMA;
	}

	@Override
	public IParameterizedMessage createParameterMessage()
	{
		return new NormalParameters();
	}

	
	// A static factory that creates a sampler of this type
	public static final IRealConjugateSamplerFactory factory = new IRealConjugateSamplerFactory()
	{
		@Override
		public IRealConjugateSampler create() {return new NormalSampler();}
		
		@Override
		public boolean isCompatible(@Nullable IUnaryFactorFunction factorFunction)
		{
			if (factorFunction == null)
				return true;
			else if (factorFunction instanceof Normal || factorFunction instanceof NormalParameters)
				return true;
			else
				return false;
		}
		
		@Override
		public boolean isCompatible(RealDomain domain)
		{
			return (domain.getLowerBound() == Double.NEGATIVE_INFINITY) && (domain.getUpperBound() == Double.POSITIVE_INFINITY);
		}
	};
}