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/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */
/*
    Vamp Test Plugin
    Copyright (c) 2013-2016 Queen Mary, University of London

    Permission is hereby granted, free of charge, to any person
    obtaining a copy of this software and associated documentation
    files (the "Software"), to deal in the Software without
    restriction, including without limitation the rights to use, copy,
    modify, merge, publish, distribute, sublicense, and/or sell copies
    of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:

    The above copyright notice and this permission notice shall be
    included in all copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
    EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
    MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
    NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY
    CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
    CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
    WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

    Except as contained in this notice, the names of the Centre for
    Digital Music and Queen Mary, University of London shall not be
    used in advertising or otherwise to promote the sale, use or other
    dealings in this Software without prior written authorization.
*/

#include "VampTestPlugin.h"

#include <vamp-sdk/FFT.h>

#include <iostream>
#include <sstream>
#include <cmath>

using namespace std;

using Vamp::RealTime;

VampTestPlugin::VampTestPlugin(float inputSampleRate, bool freq) :
    Plugin(inputSampleRate),
    m_frequencyDomain(freq),
    m_produceOutput(true),
    m_n(0),
    m_channels(1),
    m_stepSize(0),
    m_blockSize(0)
{
    for (int i = 0; i < 10; ++i) {
        m_instants.push_back(RealTime::fromSeconds(1.5 * i));
    }
}

VampTestPlugin::~VampTestPlugin()
{
}

string
VampTestPlugin::getIdentifier() const
{
    if (m_frequencyDomain) {
        return "vamp-test-plugin-freq";
    } else {
        return "vamp-test-plugin";
    }
}

string
VampTestPlugin::getName() const
{
    if (m_frequencyDomain) {
        return "Vamp Test Plugin (Frequency-Domain Input)";
    } else {
        return "Vamp Test Plugin";
    }
}

string
VampTestPlugin::getDescription() const
{
    return "Test plugin for hosts handling various output types";
}

string
VampTestPlugin::getMaker() const
{
    return "Chris Cannam";
}

int
VampTestPlugin::getPluginVersion() const
{
    return 4;
}

string
VampTestPlugin::getCopyright() const
{
    return "BSD";
}

VampTestPlugin::InputDomain
VampTestPlugin::getInputDomain() const
{
    return m_frequencyDomain ? FrequencyDomain : TimeDomain;
}

size_t
VampTestPlugin::getPreferredBlockSize() const
{
    return 0;
}

size_t 
VampTestPlugin::getPreferredStepSize() const
{
    return 0;
}

size_t
VampTestPlugin::getMinChannelCount() const
{
    return 1;
}

size_t
VampTestPlugin::getMaxChannelCount() const
{
    return 10;
}

VampTestPlugin::ParameterList
VampTestPlugin::getParameterDescriptors() const
{
    ParameterList list;

    // Provide one parameter, and make it so that we can easily tell
    // whether it has been changed
    ParameterDescriptor d;
    d.identifier = "produce_output";
    d.name = "Produce some output";
    d.description = "Whether to produce any output. If this parameter is switched off, the plugin will produce no output. This is intended for basic testing of whether a host's parameter setting logic is functioning.";
    d.unit = "";
    d.minValue = 0;
    d.maxValue = 1;
    d.defaultValue = 1;
    d.isQuantized = true;
    d.quantizeStep = 1;
    list.push_back(d);
    
    return list;
}

float
VampTestPlugin::getParameter(string identifier) const
{
    if (identifier == "produce_output") {
        return m_produceOutput ? 1.f : 0.f;
    }
    return 0;
}

void
VampTestPlugin::setParameter(string identifier, float value) 
{
    if (identifier == "produce_output") {
        m_produceOutput = (value > 0.5);
    }
}

VampTestPlugin::ProgramList
VampTestPlugin::getPrograms() const
{
    ProgramList list;
    return list;
}

string
VampTestPlugin::getCurrentProgram() const
{
    return ""; // no programs
}

void
VampTestPlugin::selectProgram(string)
{
}

VampTestPlugin::OutputList
VampTestPlugin::getOutputDescriptors() const
{
    OutputList list;

    int n = 0;

    OutputDescriptor d;

    d.identifier = "instants";
    d.name = "Instants";
    d.description = "Single time points without values";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 0;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::VariableSampleRate;
    d.hasDuration = false;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);

    d.identifier = "curve-oss";
    d.name = "Curve: OneSamplePerStep";
    d.description = "A time series with one value per process block";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 1;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::OneSamplePerStep;
    d.hasDuration = false;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);

    d.identifier = "curve-fsr";
    d.name = "Curve: FixedSampleRate";
    d.description = "A time series with equally-spaced values (independent of process step size)";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 1;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::FixedSampleRate;
    d.sampleRate = 2.5;
    d.hasDuration = false;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);

    d.identifier = "curve-fsr-timed";
    d.name = "Curve: FixedSampleRate/Timed";
    d.description = "A time series with a fixed sample rate (independent of process step size) but with timestamps on features";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 1;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::FixedSampleRate;
    d.sampleRate = 2.5;
    d.hasDuration = false;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);

    d.identifier = "curve-fsr-mixed";
    d.name = "Curve: FixedSampleRate/Mixed";
    d.description = "A time series with a fixed sample rate (independent of process step size) and with timestamps on some features";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 1;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::FixedSampleRate;
    d.sampleRate = 2.5;
    d.hasDuration = false;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);

    d.identifier = "curve-vsr";
    d.name = "Curve: VariableSampleRate";
    d.description = "A variably-spaced series of values";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 1;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::VariableSampleRate;
    d.sampleRate = 0;
    d.hasDuration = false;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);

    d.identifier = "grid-oss";
    d.name = "Grid: OneSamplePerStep";
    d.description = "A fixed-height grid of values with one column per process block";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 10;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::OneSamplePerStep;
    d.sampleRate = 0;
    d.hasDuration = false;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);

    d.identifier = "grid-fsr";
    d.name = "Grid: FixedSampleRate";
    d.description = "A fixed-height grid of values with equally-spaced columns (independent of process step size)";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 10;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::FixedSampleRate;
    d.sampleRate = 2.5;
    d.hasDuration = false;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);

    d.identifier = "notes-regions";
    d.name = "Notes or Regions";
    d.description = "Variably-spaced features with one value and duration";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = 1;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::VariableSampleRate;
    d.sampleRate = 0;
    d.hasDuration = true;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);

    d.identifier = "input-summary";
    d.name = "Data derived from inputs";
    d.description = "One-sample-per-step features with n values, where n is the number of input channels. Each feature contains, for each input channel, the first sample value on that channel plus the total number of non-zero samples on that channel. (\"Non-zero\" is determined by comparison against a magnitude threshold which is actually 1e-6 rather than exactly zero.)";
    d.unit = "";
    d.hasFixedBinCount = true;
    d.binCount = m_channels;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::OneSamplePerStep;
    d.hasDuration = false;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);

    d.identifier = "input-timestamp";
    d.name = "Input timestamp";
    d.description = "One-sample-per-step features with one value, containing the time in sample frames converted from the timestamp of the corresponding process input block.";
    d.unit = "samples";
    d.hasFixedBinCount = true;
    d.binCount = 1;
    d.hasKnownExtents = false;
    d.isQuantized = false;
    d.sampleType = OutputDescriptor::OneSamplePerStep;
    d.hasDuration = false;
    m_outputNumbers[d.identifier] = n++;
    list.push_back(d);
    
    return list;
}

bool
VampTestPlugin::initialise(size_t channels, size_t stepSize, size_t blockSize)
{
    if (channels < getMinChannelCount() ||
        channels > getMaxChannelCount()) return false;

    m_channels = channels;
    m_stepSize = stepSize;
    m_blockSize = blockSize;

    return true;
}

void
VampTestPlugin::reset()
{
    m_n = 0;
}

static Vamp::Plugin::Feature
instant(RealTime r, int i, int n)
{
    stringstream s;
    Vamp::Plugin::Feature f;
    f.hasTimestamp = true;
    f.timestamp = r;
    f.hasDuration = false;
    s << i+1 << " of " << n << " at " << r.toText();
    f.label = s.str();
    return f;
}

static Vamp::Plugin::Feature
untimedCurveValue(RealTime r, int i, int n)
{
    stringstream s;
    Vamp::Plugin::Feature f;
    f.hasTimestamp = false;
    f.hasDuration = false;
    float v = float(i) / float(n);
    f.values.push_back(v);
    s << i+1 << " of " << n << ": " << v << " at " << r.toText();
    f.label = s.str();
    return f;
}

static Vamp::Plugin::Feature
timedCurveValue(RealTime r, int i, int n)
{
    stringstream s;
    Vamp::Plugin::Feature f;
    f.hasTimestamp = true;
    f.timestamp = r;
    f.hasDuration = false;
    float v = float(i) / float(n);
    f.values.push_back(v);
    s << i+1 << " of " << n << ": " << v << " at " << r.toText();
    f.label = s.str();
    return f;
}

static Vamp::Plugin::Feature
snappedCurveValue(RealTime r, RealTime sn, int i, int n)
{
    stringstream s;
    Vamp::Plugin::Feature f;
    f.hasTimestamp = true;
    f.timestamp = r;
    f.hasDuration = false;
    float v = float(i) / float(n);
    f.values.push_back(v);
    s << i+1 << " of " << n << ": " << v << " at " << r.toText() << " snap to " << sn.toText();
    f.label = s.str();
    return f;
}

static Vamp::Plugin::Feature
gridColumn(RealTime r, int i, int n)
{
    stringstream s;
    Vamp::Plugin::Feature f;
    f.hasTimestamp = false;
    f.hasDuration = false;
    for (int j = 0; j < 10; ++j) {
        float v = float(j + i + 2) / float(n + 10);
        f.values.push_back(v);
    }
    s << i+1 << " of " << n << " at " << r.toText();
    f.label = s.str();
    return f;
}

static Vamp::Plugin::Feature
noteOrRegion(RealTime r, RealTime d, int i, int n)
{
    stringstream s;
    Vamp::Plugin::Feature f;
    f.hasTimestamp = true;
    f.timestamp = r;
    f.hasDuration = true;
    f.duration = d;
    float v = float(i) / float(n);
    f.values.push_back(v);
    s << i+1 << " of " << n << ": " << v << " at " << r.toText() << " dur. " << d.toText();
    f.label = s.str();
    return f;
}

static
float snap(float x, float r)
{
    int n = int(x / r + 0.5);
    return n * r;
}

Vamp::Plugin::FeatureSet
VampTestPlugin::featuresFrom(RealTime timestamp, bool final)
{
    FeatureSet fs;

    RealTime endTime = timestamp + RealTime::frame2RealTime
        (m_stepSize, m_inputSampleRate);

    for (int i = 0; i < (int)m_instants.size(); ++i) {

        if (m_instants[i] >= timestamp && (final || m_instants[i] < endTime)) {
            fs[m_outputNumbers["instants"]]
                .push_back(instant(m_instants[i], i, m_instants.size()));
        }

        RealTime variCurveTime = m_instants[i] / 2;
        if (variCurveTime >= timestamp && (final || variCurveTime < endTime)) {
            fs[m_outputNumbers["curve-vsr"]]
                .push_back(timedCurveValue(variCurveTime, i, m_instants.size()));
        }

        RealTime noteTime = (m_instants[i] + m_instants[i]) / 3;
        RealTime noteDuration = RealTime::fromSeconds((i % 2 == 0) ? 1.75 : 0.5);

        if (noteTime >= timestamp && (final || noteTime < endTime)) {
            fs[m_outputNumbers["notes-regions"]]
                .push_back(noteOrRegion(noteTime, noteDuration, i, m_instants.size()));
        }
    }

    if (!final) {

        if (m_n < 20) {
            fs[m_outputNumbers["curve-oss"]]
                .push_back(untimedCurveValue(timestamp, m_n, 20));
        }

        if (m_n < 5) {
            fs[m_outputNumbers["curve-fsr"]]
                .push_back(untimedCurveValue(RealTime::fromSeconds(m_n / 2.5), m_n, 10));

            float s = (m_n / 4) * 2;
            if ((m_n % 4) > 0) {
                s += float((m_n % 4) - 1) / 6.0;
            }
            fs[m_outputNumbers["curve-fsr-timed"]]
                .push_back(snappedCurveValue(RealTime::fromSeconds(s),
                                             RealTime::fromSeconds(snap(s, 0.4)),
                                             m_n, 10));
        }

        if (m_n < 20) {
            fs[m_outputNumbers["grid-oss"]]
                .push_back(gridColumn(timestamp, m_n, 20));
        }

    } else {

        for (int i = (m_n > 5 ? 5 : m_n); i < 10; ++i) {
            fs[m_outputNumbers["curve-fsr"]]
                .push_back(untimedCurveValue(RealTime::fromSeconds(i / 2.5), i, 10));

            float s = (i / 4) * 2;
            if ((i % 4) > 0) {
                s += float((i % 4) - 1) / 6.0;
            }
            fs[m_outputNumbers["curve-fsr-timed"]]
                .push_back(snappedCurveValue(RealTime::fromSeconds(s),
                                             RealTime::fromSeconds(snap(s, 0.4)),
                                             i, 10));
        }

        for (int i = 0; i < 10; ++i) {
            static std::vector<float> times {
                2.4, 2.9, 3.14, 3.5, 4.0, 4.4, 3.9, 4.4, 4.8, 5
            };
            float s = times[i];
            float sn = snap(s, 0.4) + 1e-5; // to avoid printing e.g. 2.799
            if (i == 4 || i == 5 || i == 8) {
                fs[m_outputNumbers["curve-fsr-mixed"]]
                    .push_back(untimedCurveValue(RealTime::fromSeconds(s),
                                                 i, 10));
            } else {
                fs[m_outputNumbers["curve-fsr-mixed"]]
                    .push_back(snappedCurveValue(RealTime::fromSeconds(s),
                                                 RealTime::fromSeconds(sn),
                                                 i, 10));
            }
        }
        
        for (int i = 0; i < 10; ++i) {
            fs[m_outputNumbers["grid-fsr"]]
                .push_back(gridColumn(RealTime::fromSeconds(i / 2.5), i, 10));
        }
    }

    m_lastTime = endTime;
    m_n = m_n + 1;
    return fs;
}    

VampTestPlugin::FeatureSet
VampTestPlugin::process(const float *const *inputBuffers, RealTime timestamp)
{
    if (!m_produceOutput) return FeatureSet();
    FeatureSet fs = featuresFrom(timestamp, false);
    
    Feature f;
    float eps = 1e-6f;

    for (int c = 0; c < m_channels; ++c) {
        if (!m_frequencyDomain) {
            // first value plus number of non-zero values
            float sum = inputBuffers[c][0];
            for (int i = 0; i < m_blockSize; ++i) {
                if (fabsf(inputBuffers[c][i]) >= eps) sum += 1;
            }
            f.values.push_back(sum);
        } else {
            // If we're in frequency-domain mode, we convert back to
            // time-domain to calculate the input-summary feature
            // output. That should help the caller check that
            // time-frequency conversion has gone more or less OK,
            // though they'll still have to bear in mind windowing and
            // FFT shift (i.e. phase shift which puts the first
            // element in the middle of the frame)
            vector<double> ri(m_blockSize, 0.0);
            vector<double> ii(m_blockSize, 0.0);
            vector<double> ro(m_blockSize, 0.0);
            vector<double> io(m_blockSize, 0.0);
            for (int i = 0; i <= m_blockSize/2; ++i) {
                ri[i] = inputBuffers[c][i*2];
                ii[i] = inputBuffers[c][i*2 + 1];
                if (i > 0) ri[m_blockSize-i] =  ri[i];
                if (i > 0) ii[m_blockSize-i] = -ii[i];
            }
            Vamp::FFT::inverse(m_blockSize, &ri[0], &ii[0], &ro[0], &io[0]);
            float sum = 0;
            for (int i = 0; i < m_blockSize; ++i) {
                if (fabs(ro[i]) >= eps) sum += 1;
            }
            sum += ro[0];
            f.values.push_back(sum);
        }           
    }

    fs[m_outputNumbers["input-summary"]].push_back(f);

    f.values.clear();
    float frame = RealTime::realTime2Frame(timestamp, m_inputSampleRate);
    f.values.push_back(frame);
    fs[m_outputNumbers["input-timestamp"]].push_back(f);
    
    return fs;
}

VampTestPlugin::FeatureSet
VampTestPlugin::getRemainingFeatures()
{
    if (!m_produceOutput) return FeatureSet();
    FeatureSet fs = featuresFrom(m_lastTime, true);
    return fs;
}