/*
    * Copyright (C) 2021 Alberto Irurueta Carro (alberto@irurueta.com)
    *
    * 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.irurueta.navigation.inertial.calibration.intervals.thresholdfactor;
  
  import com.irurueta.navigation.LockedException;
  import com.irurueta.navigation.NotReadyException;
  import com.irurueta.navigation.inertial.calibration.StandardDeviationBodyKinematics;
  import com.irurueta.navigation.inertial.calibration.accelerometer.AccelerometerCalibratorMeasurementType;
  import com.irurueta.navigation.inertial.calibration.accelerometer.AccelerometerNonLinearCalibrator;
  
  /**
   * Optimizes the threshold factor for interval detection of accelerometer data based on
   * results of calibration.
   * Only accelerometer calibrators based on unknown orientation are supported (in other terms,
   * calibrators must be {@link AccelerometerNonLinearCalibrator} and must support
   * {@link AccelerometerCalibratorMeasurementType#STANDARD_DEVIATION_BODY_KINEMATICS}).
   * This implementation makes an exhaustive search between minimum and maximum
   * threshold factor values to find the threshold value that produces the
   * minimum Mean Square Error (MSE) for calibration parameters.
   */
  public class ExhaustiveAccelerometerIntervalDetectorThresholdFactorOptimizer extends
          AccelerometerIntervalDetectorThresholdFactorOptimizer {
  
      /**
       * Default step value to make exhaustive search of threshold factor values.
       */
      public static final double DEFAULT_STEP = 1.0;
  
      /**
       * Step to make exhaustive search of threshold factor values between
       * {@link #getMaxThresholdFactor()} and {@link #getMaxThresholdFactor()}.
       */
      private double thresholdFactorStep = DEFAULT_STEP;
  
      /**
       * Constructor.
       */
      public ExhaustiveAccelerometerIntervalDetectorThresholdFactorOptimizer() {
          super();
      }
  
      /**
       * Constructor.
       *
       * @param dataSource instance in charge of retrieving data for this optimizer.
       */
      public ExhaustiveAccelerometerIntervalDetectorThresholdFactorOptimizer(
              final AccelerometerIntervalDetectorThresholdFactorOptimizerDataSource dataSource) {
          super(dataSource);
      }
  
      /**
       * Constructor.
       *
       * @param calibrator an accelerometer calibrator to be used to optimize its
       *                   Mean Square Error (MSE).
       * @throws IllegalArgumentException if accelerometer calibrator does not use
       *                                  {@link StandardDeviationBodyKinematics} measurements.
       */
      public ExhaustiveAccelerometerIntervalDetectorThresholdFactorOptimizer(
              final AccelerometerNonLinearCalibrator calibrator) {
          super(calibrator);
      }
  
      /**
       * Constructor.
       *
       * @param dataSource instance in charge of retrieving data for this optimizer.
       * @param calibrator an accelerometer calibrator to be used to optimize its
       *                   Mean Square Error (MSE).
       * @throws IllegalArgumentException if accelerometer calibrator does not use
       *                                  {@link StandardDeviationBodyKinematics} measurements.
       */
      public ExhaustiveAccelerometerIntervalDetectorThresholdFactorOptimizer(
              final AccelerometerIntervalDetectorThresholdFactorOptimizerDataSource dataSource,
              final AccelerometerNonLinearCalibrator calibrator) {
          super(dataSource, calibrator);
      }
  
      /**
       * Gets the step to make exhaustive search of threshold values between
       * {@link #getMaxThresholdFactor()} and {@link #getMaxThresholdFactor()}.
       *
       * @return step to make exhaustive search of threshold values.
       */
      public double getThresholdFactorStep() {
         return thresholdFactorStep;
     }
 
     /**
      * Sets step to make exhaustive search of threshold values between
      * {@link #getMaxThresholdFactor()} and {@link #getMaxThresholdFactor()}.
      *
      * @param thresholdStep step to make exhaustive search of threshold values.
      * @throws LockedException          if optimizer is already running.
      * @throws IllegalArgumentException if provided value is zero or negative.
      */
     public void setThresholdFactorStep(final double thresholdStep) throws LockedException {
         if (running) {
             throw new LockedException();
         }
         if (thresholdStep <= 0.0) {
             throw new IllegalArgumentException();
         }
 
         thresholdFactorStep = thresholdStep;
     }
 
     /**
      * Optimizes the threshold factor for a static interval detector or measurement
      * generator to minimize MSE (Minimum Squared Error) of estimated
      * calibration parameters.
      *
      * @return optimized threshold factor.
      * @throws NotReadyException                                 if this optimizer is not ready to start optimization.
      * @throws LockedException                                   if optimizer is already running.
      * @throws IntervalDetectorThresholdFactorOptimizerException if optimization fails for
      *                                                           some reason.
      */
     @Override
     public double optimize() throws NotReadyException, LockedException,
             IntervalDetectorThresholdFactorOptimizerException {
         if (running) {
             throw new LockedException();
         }
 
         if (!isReady()) {
             throw new NotReadyException();
         }
 
         var hasResult = false;
         minMse = Double.MAX_VALUE;
         try {
             running = true;
 
             initProgress();
             final var progressStep = (float) (thresholdFactorStep
                     / (thresholdFactorStep + maxThresholdFactor - minThresholdFactor));
 
             if (listener != null) {
                 listener.onOptimizeStart(this);
             }
 
             for (var thresholdFactor = minThresholdFactor;
                  thresholdFactor <= maxThresholdFactor;
                  thresholdFactor += thresholdFactorStep) {
                 try {
                     evaluateForThresholdFactor(thresholdFactor);
                     hasResult = true;
                 } catch (final Exception ignore) {
                     // when an error occurs, skip to the next iteration
                 }
 
                 progress += progressStep;
                 checkAndNotifyProgress();
             }
 
             if (!hasResult) {
                 throw new IntervalDetectorThresholdFactorOptimizerException();
             }
 
             if (listener != null) {
                 listener.onOptimizeEnd(this);
             }
 
         } finally {
             running = false;
         }
 
         return optimalThresholdFactor;
     }
 }