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package fish.payara.microprofile.metrics.impl;

import static java.lang.Math.exp;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.LongAdder;

/**
 * An exponentially-weighted moving average.
 *
 * @see UNIX Load
 * Average Part 1: How It Works
 * @see UNIX Load
 * Average Part 2: Not Your Average Average
 * @see
 * EMA
 */
public class ExponentiallyWeightedMovingAverage {

    private static final int INTERVAL = 5;
    private static final double SECONDS_PER_MINUTE = 60.0;
    private static final int ONE_MINUTE = 1;
    private static final int FIVE_MINUTES = 5;
    private static final int FIFTEEN_MINUTES = 15;
    private static final double M1_ALPHA = 1 - exp(-INTERVAL / SECONDS_PER_MINUTE / ONE_MINUTE);
    private static final double M5_ALPHA = 1 - exp(-INTERVAL / SECONDS_PER_MINUTE / FIVE_MINUTES);
    private static final double M15_ALPHA = 1 - exp(-INTERVAL / SECONDS_PER_MINUTE / FIFTEEN_MINUTES);

    private volatile boolean initialized = false;
    private volatile double rate = 0.0;

    private final LongAdder uncounted = new LongAdder();
    private final double alpha, interval;

    /**
     * Creates a new EWMA which is equivalent to the UNIX one minute load
     * average and which expects to be ticked every 5 seconds.
     *
     * @return a one-minute EWMA
     */
    public static ExponentiallyWeightedMovingAverage oneMinuteEWMA() {
        return new ExponentiallyWeightedMovingAverage(M1_ALPHA, INTERVAL, TimeUnit.SECONDS);
    }

    /**
     * Creates a new EWMA which is equivalent to the UNIX five minute load
     * average and which expects to be ticked every 5 seconds.
     *
     * @return a five-minute EWMA
     */
    public static ExponentiallyWeightedMovingAverage fiveMinuteEWMA() {
        return new ExponentiallyWeightedMovingAverage(M5_ALPHA, INTERVAL, TimeUnit.SECONDS);
    }

    /**
     * Creates a new EWMA which is equivalent to the UNIX fifteen minute load
     * average and which expects to be ticked every 5 seconds.
     *
     * @return a fifteen-minute EWMA
     */
    public static ExponentiallyWeightedMovingAverage fifteenMinuteEWMA() {
        return new ExponentiallyWeightedMovingAverage(M15_ALPHA, INTERVAL, TimeUnit.SECONDS);
    }

    /**
     * Create a new EWMA with a specific smoothing constant.
     *
     * @param alpha        the smoothing constant
     * @param interval     the expected tick interval
     * @param intervalUnit the time unit of the tick interval
     */
    public ExponentiallyWeightedMovingAverage(double alpha, long interval, TimeUnit intervalUnit) {
        this.interval = intervalUnit.toNanos(interval);
        this.alpha = alpha;
    }

    /**
     * Update the moving average with a new value.
     *
     * @param n the new value
     */
    public void update(long n) {
        uncounted.add(n);
    }

    /**
     * Mark the passage of time and decay the current rate accordingly.
     */
    public void tick() {
        final long count = uncounted.sumThenReset();
        final double instantRate = count / interval;
        if (initialized) {
            final double oldRate = this.rate;
            rate = oldRate + (alpha * (instantRate - oldRate));
        } else {
            rate = instantRate;
            initialized = true;
        }
    }

    /**
     * Returns the rate in the given units of time.
     *
     * @param rateUnit the unit of time
     * @return the rate
     */
    public double getRate(TimeUnit rateUnit) {
        return rate * rateUnit.toNanos(1);
    }
}




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