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#include "config.h"

#if ENABLE(WEB_AUDIO)

#include "DynamicsCompressorKernel.h"

#include "AudioUtilities.h"
#include "DenormalDisabler.h"
#include <algorithm>
#include <wtf/MathExtras.h>

namespace WebCore {

using namespace AudioUtilities;

// Metering hits peaks instantly, but releases this fast (in seconds).
constexpr float meteringReleaseTimeConstant = 0.325f;

DynamicsCompressorKernel::DynamicsCompressorKernel(float sampleRate, unsigned numberOfChannels)
    : m_sampleRate(sampleRate)
{
    setNumberOfChannels(numberOfChannels);

    // Initializes most member variables
    reset();

    m_meteringReleaseK = static_cast<float>(discreteTimeConstantForSampleRate(meteringReleaseTimeConstant, sampleRate));
}

void DynamicsCompressorKernel::setNumberOfChannels(unsigned numberOfChannels)
{
    if (m_preDelayBuffers.size() == numberOfChannels)
        return;

    m_preDelayBuffers.clear();
    for (unsigned i = 0; i < numberOfChannels; ++i)
        m_preDelayBuffers.append(makeUnique<AudioFloatArray>(MaxPreDelayFrames));
}

void DynamicsCompressorKernel::setPreDelayTime(float preDelayTime)
{
    // Re-configure look-ahead section pre-delay if delay time has changed.
    unsigned preDelayFrames = preDelayTime * sampleRate();
    if (preDelayFrames > MaxPreDelayFrames - 1)
        preDelayFrames = MaxPreDelayFrames - 1;

    if (m_lastPreDelayFrames != preDelayFrames) {
        m_lastPreDelayFrames = preDelayFrames;
        for (unsigned i = 0; i < m_preDelayBuffers.size(); ++i)
            m_preDelayBuffers[i]->zero();

        m_preDelayReadIndex = 0;
        m_preDelayWriteIndex = preDelayFrames;
    }
}

// Exponential curve for the knee.
// It is 1st derivative matched at m_linearThreshold and asymptotically approaches the value m_linearThreshold + 1 / k.
float DynamicsCompressorKernel::kneeCurve(float x, float k)
{
    // Linear up to threshold.
    if (x < m_linearThreshold)
        return x;

    return m_linearThreshold + (1 - expf(-k * (x - m_linearThreshold))) / k;
}

// Full compression curve with constant ratio after knee.
float DynamicsCompressorKernel::saturate(float x, float k)
{
    float y;

    if (x < m_kneeThreshold)
        y = kneeCurve(x, k);
    else {
        // Constant ratio after knee.
        float xDb = linearToDecibels(x);
        float yDb = m_ykneeThresholdDb + m_slope * (xDb - m_kneeThresholdDb);

        y = decibelsToLinear(yDb);
    }

    return y;
}

// Approximate 1st derivative with input and output expressed in dB.
// This slope is equal to the inverse of the compression "ratio".
// In other words, a compression ratio of 20 would be a slope of 1/20.
float DynamicsCompressorKernel::slopeAt(float x, float k)
{
    if (x < m_linearThreshold)
        return 1;

    float x2 = x * 1.001;

    float xDb = linearToDecibels(x);
    float x2Db = linearToDecibels(x2);

    float yDb = linearToDecibels(kneeCurve(x, k));
    float y2Db = linearToDecibels(kneeCurve(x2, k));

    float m = (y2Db - yDb) / (x2Db - xDb);

    return m;
}

float DynamicsCompressorKernel::kAtSlope(float desiredSlope)
{
    float xDb = m_dbThreshold + m_dbKnee;
    float x = decibelsToLinear(xDb);

    // Approximate k given initial values.
    float minK = 0.1;
    float maxK = 10000;
    float k = 5;

    for (int i = 0; i < 15; ++i) {
        // A high value for k will more quickly asymptotically approach a slope of 0.
        float slope = slopeAt(x, k);

        if (slope < desiredSlope) {
            // k is too high.
            maxK = k;
        } else {
            // k is too low.
            minK = k;
        }

        // Re-calculate based on geometric mean.
        k = sqrtf(minK * maxK);
    }

    return k;
}

float DynamicsCompressorKernel::updateStaticCurveParameters(float dbThreshold, float dbKnee, float ratio)
{
    if (dbThreshold != m_dbThreshold || dbKnee != m_dbKnee || ratio != m_ratio) {
        // Threshold and knee.
        m_dbThreshold = dbThreshold;
        m_linearThreshold = decibelsToLinear(dbThreshold);
        m_dbKnee = dbKnee;

        // Compute knee parameters.
        m_ratio = ratio;
        m_slope = 1 / m_ratio;

        float k = kAtSlope(1 / m_ratio);

        m_kneeThresholdDb = dbThreshold + dbKnee;
        m_kneeThreshold = decibelsToLinear(m_kneeThresholdDb);

        m_ykneeThresholdDb = linearToDecibels(kneeCurve(m_kneeThreshold, k));

        m_K = k;
    }
    return m_K;
}

void DynamicsCompressorKernel::process(const float* sourceChannels[],
                                       float* destinationChannels[],
                                       unsigned numberOfChannels,
                                       unsigned framesToProcess,

                                       float dbThreshold,
                                       float dbKnee,
                                       float ratio,
                                       float attackTime,
                                       float releaseTime,
                                       float preDelayTime,
                                       float dbPostGain,
                                       float effectBlend, /* equal power crossfade */

                                       float releaseZone1,
                                       float releaseZone2,
                                       float releaseZone3,
                                       float releaseZone4
                                       )
{
    ASSERT(m_preDelayBuffers.size() == numberOfChannels);

    float sampleRate = this->sampleRate();

    float dryMix = 1 - effectBlend;
    float wetMix = effectBlend;

    float k = updateStaticCurveParameters(dbThreshold, dbKnee, ratio);

    // Makeup gain.
    float fullRangeGain = saturate(1, k);
    float fullRangeMakeupGain = 1 / fullRangeGain;

    // Empirical/perceptual tuning.
    fullRangeMakeupGain = powf(fullRangeMakeupGain, 0.6f);

    float masterLinearGain = decibelsToLinear(dbPostGain) * fullRangeMakeupGain;

    // Attack parameters.
    attackTime = std::max(0.001f, attackTime);
    float attackFrames = attackTime * sampleRate;

    // Release parameters.
    float releaseFrames = sampleRate * releaseTime;

    // Detector release time.
    float satReleaseTime = 0.0025f;
    float satReleaseFrames = satReleaseTime * sampleRate;

    // Create a smooth function which passes through four points.

    // Polynomial of the form
    // y = a + b*x + c*x^2 + d*x^3 + e*x^4;

    float y1 = releaseFrames * releaseZone1;
    float y2 = releaseFrames * releaseZone2;
    float y3 = releaseFrames * releaseZone3;
    float y4 = releaseFrames * releaseZone4;

    // All of these coefficients were derived for 4th order polynomial curve fitting where the y values
    // match the evenly spaced x values as follows: (y1 : x == 0, y2 : x == 1, y3 : x == 2, y4 : x == 3)
    float kA = 0.9999999999999998f*y1 + 1.8432219684323923e-16f*y2 - 1.9373394351676423e-16f*y3 + 8.824516011816245e-18f*y4;
    float kB = -1.5788320352845888f*y1 + 2.3305837032074286f*y2 - 0.9141194204840429f*y3 + 0.1623677525612032f*y4;
    float kC = 0.5334142869106424f*y1 - 1.272736789213631f*y2 + 0.9258856042207512f*y3 - 0.18656310191776226f*y4;
    float kD = 0.08783463138207234f*y1 - 0.1694162967925622f*y2 + 0.08588057951595272f*y3 - 0.00429891410546283f*y4;
    float kE = -0.042416883008123074f*y1 + 0.1115693827987602f*y2 - 0.09764676325265872f*y3 + 0.028494263462021576f*y4;

    // x ranges from 0 -> 3       0    1    2   3
    //                           -15  -10  -5   0db

    // y calculates adaptive release frames depending on the amount of compression.

    setPreDelayTime(preDelayTime);

    const int nDivisionFrames = 32;

    const int nDivisions = framesToProcess / nDivisionFrames;

    unsigned frameIndex = 0;
    for (int i = 0; i < nDivisions; ++i) {
        // ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        // Calculate desired gain
        // ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

        // Fix gremlins.
        if (std::isnan(m_detectorAverage))
            m_detectorAverage = 1;
        if (std::isinf(m_detectorAverage))
            m_detectorAverage = 1;

        float desiredGain = m_detectorAverage;

        // Pre-warp so we get desiredGain after sin() warp below.
        float scaledDesiredGain = asinf(desiredGain) / (0.5f * piFloat);

        // ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        // Deal with envelopes
        // ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

        // envelopeRate is the rate we slew from current compressor level to the desired level.
        // The exact rate depends on if we're attacking or releasing and by how much.
        float envelopeRate;

        bool isReleasing = scaledDesiredGain > m_compressorGain;

        // compressionDiffDb is the difference between current compression level and the desired level.
        float compressionDiffDb = linearToDecibels(m_compressorGain / scaledDesiredGain);

        if (isReleasing) {
            // Release mode - compressionDiffDb should be negative dB
            m_maxAttackCompressionDiffDb = -1;

            // Fix gremlins.
            if (std::isnan(compressionDiffDb))
                compressionDiffDb = -1;
            if (std::isinf(compressionDiffDb))
                compressionDiffDb = -1;

            // Adaptive release - higher compression (lower compressionDiffDb)  releases faster.

            // Contain within range: -12 -> 0 then scale to go from 0 -> 3
            float x = compressionDiffDb;
            x = std::max(-12.0f, x);
            x = std::min(0.0f, x);
            x = 0.25f * (x + 12);

            // Compute adaptive release curve using 4th order polynomial.
            // Normal values for the polynomial coefficients would create a monotonically increasing function.
            float x2 = x * x;
            float x3 = x2 * x;
            float x4 = x2 * x2;
            float releaseFrames = kA + kB * x + kC * x2 + kD * x3 + kE * x4;

#define kSpacingDb 5
            float dbPerFrame = kSpacingDb / releaseFrames;

            envelopeRate = decibelsToLinear(dbPerFrame);
        } else {
            // Attack mode - compressionDiffDb should be positive dB

            // Fix gremlins.
            if (std::isnan(compressionDiffDb))
                compressionDiffDb = 1;
            if (std::isinf(compressionDiffDb))
                compressionDiffDb = 1;

            // As long as we're still in attack mode, use a rate based off
            // the largest compressionDiffDb we've encountered so far.
            if (m_maxAttackCompressionDiffDb == -1 || m_maxAttackCompressionDiffDb < compressionDiffDb)
                m_maxAttackCompressionDiffDb = compressionDiffDb;

            float effAttenDiffDb = std::max(0.5f, m_maxAttackCompressionDiffDb);

            float x = 0.25f / effAttenDiffDb;
            envelopeRate = 1 - powf(x, 1 / attackFrames);
        }

        // ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
        // Inner loop - calculate shaped power average - apply compression.
        // ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

        {
            int preDelayReadIndex = m_preDelayReadIndex;
            int preDelayWriteIndex = m_preDelayWriteIndex;
            float detectorAverage = m_detectorAverage;
            float compressorGain = m_compressorGain;

            int loopFrames = nDivisionFrames;
            while (loopFrames--) {
                float compressorInput = 0;

                // Predelay signal, computing compression amount from un-delayed version.
                for (unsigned i = 0; i < numberOfChannels; ++i) {
                    float* delayBuffer = m_preDelayBuffers[i]->data();
                    float undelayedSource = sourceChannels[i][frameIndex];
                    delayBuffer[preDelayWriteIndex] = undelayedSource;

                    float absUndelayedSource = undelayedSource > 0 ? undelayedSource : -undelayedSource;
                    if (compressorInput < absUndelayedSource)
                        compressorInput = absUndelayedSource;
                }

                // Calculate shaped power on undelayed input.

                float scaledInput = compressorInput;
                float absInput = scaledInput > 0 ? scaledInput : -scaledInput;

                // Put through shaping curve.
                // This is linear up to the threshold, then enters a "knee" portion followed by the "ratio" portion.
                // The transition from the threshold to the knee is smooth (1st derivative matched).
                // The transition from the knee to the ratio portion is smooth (1st derivative matched).
                float shapedInput = saturate(absInput, k);

                float attenuation = absInput <= 0.0001f ? 1 : shapedInput / absInput;

                float attenuationDb = -linearToDecibels(attenuation);
                attenuationDb = std::max(2.0f, attenuationDb);

                float dbPerFrame = attenuationDb / satReleaseFrames;

                float satReleaseRate = decibelsToLinear(dbPerFrame) - 1;

                bool isRelease = (attenuation > detectorAverage);
                float rate = isRelease ? satReleaseRate : 1;

                detectorAverage += (attenuation - detectorAverage) * rate;
                detectorAverage = std::min(1.0f, detectorAverage);

                // Fix gremlins.
                if (std::isnan(detectorAverage))
                    detectorAverage = 1;
                if (std::isinf(detectorAverage))
                    detectorAverage = 1;

                // Exponential approach to desired gain.
                if (envelopeRate < 1) {
                    // Attack - reduce gain to desired.
                    compressorGain += (scaledDesiredGain - compressorGain) * envelopeRate;
                } else {
                    // Release - exponentially increase gain to 1.0
                    compressorGain *= envelopeRate;
                    compressorGain = std::min(1.0f, compressorGain);
                }

                // Warp pre-compression gain to smooth out sharp exponential transition points.
                float postWarpCompressorGain = sinf(0.5f * piFloat * compressorGain);

                // Calculate total gain using master gain and effect blend.
                float totalGain = dryMix + wetMix * masterLinearGain * postWarpCompressorGain;

                // Calculate metering.
                float dbRealGain = 20 * log10(postWarpCompressorGain);
                if (dbRealGain < m_meteringGain)
                    m_meteringGain = dbRealGain;
                else
                    m_meteringGain += (dbRealGain - m_meteringGain) * m_meteringReleaseK;

                // Apply final gain.
                for (unsigned i = 0; i < numberOfChannels; ++i) {
                    float* delayBuffer = m_preDelayBuffers[i]->data();
                    destinationChannels[i][frameIndex] = delayBuffer[preDelayReadIndex] * totalGain;
                }

                frameIndex++;
                preDelayReadIndex = (preDelayReadIndex + 1) & MaxPreDelayFramesMask;
                preDelayWriteIndex = (preDelayWriteIndex + 1) & MaxPreDelayFramesMask;
            }

            // Locals back to member variables.
            m_preDelayReadIndex = preDelayReadIndex;
            m_preDelayWriteIndex = preDelayWriteIndex;
            m_detectorAverage = DenormalDisabler::flushDenormalFloatToZero(detectorAverage);
            m_compressorGain = DenormalDisabler::flushDenormalFloatToZero(compressorGain);
        }
    }
}

void DynamicsCompressorKernel::reset()
{
    m_detectorAverage = 0;
    m_compressorGain = 1;
    m_meteringGain = 1;

    // Predelay section.
    for (unsigned i = 0; i < m_preDelayBuffers.size(); ++i)
        m_preDelayBuffers[i]->zero();

    m_preDelayReadIndex = 0;
    m_preDelayWriteIndex = DefaultPreDelayFrames;

    m_maxAttackCompressionDiffDb = -1; // uninitialized state
}

double DynamicsCompressorKernel::tailTime() const
{
    // The reduction value of the compressor is computed from the gain using an exponential filter
    // with a time constant of |meteringReleaseTimeConstant|. We need to keep he compressor running
    // for some time after the inputs go away so that the reduction value approaches 0. This is a
    // tradeoff between how long we keep the node alive and how close we approach the final value.
    // A value of 5 to 10 times the time constant is a reasonable trade-off.
    return 5 * meteringReleaseTimeConstant;
}

} // namespace WebCore

#endif // ENABLE(WEB_AUDIO)