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 * Copyright 2010-2013 Coda Hale and Yammer, Inc.
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 * 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
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package fish.payara.microprofile.metrics.impl;

import fish.payara.microprofile.metrics.cdi.MetricUtils;
import jakarta.enterprise.inject.Vetoed;
import java.util.Collection;
import java.util.Map;
import java.util.Optional;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.atomic.LongAdder;
import org.eclipse.microprofile.config.Config;
import org.eclipse.microprofile.metrics.Histogram;
import org.eclipse.microprofile.metrics.Snapshot;

import static fish.payara.microprofile.metrics.impl.MetricRegistryImpl.METRIC_HISTOGRAM_BUCKETS_PROPERTY;

/**
 * A metric which calculates the distribution of a value.
 *
 * @see Accurately
 * computing running variance
 */
@Vetoed
public class HistogramImpl implements Histogram {

    private final ExponentiallyDecayingReservoir reservoir;
    private final LongAdder count;
    private final AtomicLong sum;
    private ConfigurationProperties configurationProperties;
    
    public HistogramImpl(String metricName, 
                         Map> percentilesConfigMap,
                         Map> bucketsConfigMap) {
        this();
        validateMetricsConfiguration(metricName, percentilesConfigMap, bucketsConfigMap);
    }

    /**
     * Creates a new {@link HistogramImpl} using an
     * {@link ExponentiallyDecayingReservoir}.
     */
    public HistogramImpl() {
        this(new ExponentiallyDecayingReservoir());
    }

    /**
     * Creates a new {@link HistogramImpl} with the given reservoir.
     *
     * @param reservoir the reservoir to create a histogram from
     */
    public HistogramImpl(ExponentiallyDecayingReservoir reservoir) {
        this.reservoir = reservoir;
        this.count = new LongAdder();
        this.sum = new AtomicLong();
    }

    /**
     * Adds a recorded value.
     *
     * @param value the length of the value
     */
    @Override
    public void update(int value) {
        update((long) value);
    }

    /**
     * Adds a recorded value.
     *
     * @param value the length of the value
     */
    @Override
    public void update(long value) {
        count.increment();
        sum.getAndAdd(value);
        reservoir.update(value);
    }

    /**
     * Returns the number of values recorded.
     *
     * @return the number of values recorded
     */
    @Override
    public long getCount() {
        return count.sum();
    }

    @Override
    public long getSum() {
        return sum.get();
    }

    @Override
    public Snapshot getSnapshot() {
        return reservoir.getSnapshot();
    }

    @Override
    public String toString() {
        return "Histogram[" + getCount() + "]";
    }

    void validateMetricsConfiguration(String metricName, Map> percentilesConfigMap,
                                      Map> bucketsConfigMap) {
        Collection computedPercentiles = percentilesConfigMap
                .computeIfAbsent(metricName, MetricsConfigParserUtil::processPercentileMap);
        Collection computedBuckets = bucketsConfigMap
                .computeIfAbsent(metricName, this::processHistogramBucketMap);
        MetricsCustomPercentiles resultPercentile = null;
        MetricsCustomBuckets resultBuckets = null;
        configurationProperties = new ConfigurationProperties();
        if (computedPercentiles != null && !computedPercentiles.isEmpty()) {
            resultPercentile = MetricsCustomPercentiles.matches(computedPercentiles, metricName);
        }

        if (resultPercentile != null && resultPercentile.getPercentiles() != null
                && resultPercentile.getPercentiles().length > 0) {
            configurationProperties.setPercentilesFromConfig(resultPercentile.getPercentiles());
        } else if (resultPercentile != null && resultPercentile.getPercentiles() == null
                && resultPercentile.isDisabled()) {
            //skip this case
        } else {
            Double[] percentiles = {0.5, 0.75, 0.95, 0.98, 0.99, 0.999};
            configurationProperties.setPercentilesFromConfig(percentiles);
        }
        if (computedBuckets != null && computedBuckets.size() != 0) {
            resultBuckets = MetricsCustomBuckets.matches(computedBuckets, metricName);
        }
        if (resultBuckets != null && resultBuckets.getBuckets() != null && resultBuckets.getBuckets().length > 0) {
            configurationProperties.setBucketValuesFromConfig(resultBuckets.getBuckets());
        }

        this.reservoir.setConfigAdapter(configurationProperties);
    }

    private Collection processHistogramBucketMap(String appName) {
        Config config = MetricUtils.getConfigProvider();
        if (config != null) {
            Optional customBuckets = config.getOptionalValue(METRIC_HISTOGRAM_BUCKETS_PROPERTY, String.class);
            return (customBuckets.isPresent()) ? MetricsConfigParserUtil.parseHistogramBuckets(customBuckets.get()) : null;
        } else {
            return null;
        }
    }
}