// Copyright (c)  2023  Xiaomi Corporation (authors: Fangjun Kuang)
//
const fs = require('fs');
const {Readable} = require('stream');
const wav = require('wav');

const sherpa_onnx = require('sherpa-onnx');

function createOfflineRecognizer() {
  let featConfig = {
    sampleRate: 16000,
    featureDim: 80,
  };

  let modelConfig = {
    transducer: {
      encoder: '',
      decoder: '',
      joiner: '',
    },
    paraformer: {
      model: '',
    },
    nemoCtc: {
      model: '',
    },
    whisper: {
      encoder: './sherpa-onnx-whisper-tiny.en/tiny.en-encoder.int8.onnx',
      decoder: './sherpa-onnx-whisper-tiny.en/tiny.en-decoder.int8.onnx',
      language: '',
      task: 'transcribe',
      tailPaddings: -1,
    },
    tdnn: {
      model: '',
    },
    tokens: './sherpa-onnx-whisper-tiny.en/tiny.en-tokens.txt',
    numThreads: 1,
    debug: 0,
    provider: 'cpu',
    modelType: 'whisper',
  };

  let lmConfig = {
    model: '',
    scale: 1.0,
  };

  let config = {
    featConfig: featConfig,
    modelConfig: modelConfig,
    lmConfig: lmConfig,
    decodingMethod: 'greedy_search',
    maxActivePaths: 4,
    hotwordsFile: '',
    hotwordsScore: 1.5,
  };

  return sherpa_onnx.createOfflineRecognizer(config);
}


recognizer = createOfflineRecognizer();
stream = recognizer.createStream();

const waveFilename = './sherpa-onnx-whisper-tiny.en/test_wavs/0.wav';

const reader = new wav.Reader();
const readable = new Readable().wrap(reader);
const buf = [];

reader.on('format', ({audioFormat, bitDepth, channels, sampleRate}) => {
  if (sampleRate != recognizer.config.featConfig.sampleRate) {
    throw new Error(`Only support sampleRate ${
        recognizer.config.featConfig.sampleRate}. Given ${sampleRate}`);
  }

  if (audioFormat != 1) {
    throw new Error(`Only support PCM format. Given ${audioFormat}`);
  }

  if (channels != 1) {
    throw new Error(`Only a single channel. Given ${channel}`);
  }

  if (bitDepth != 16) {
    throw new Error(`Only support 16-bit samples. Given ${bitDepth}`);
  }
});

fs.createReadStream(waveFilename, {'highWaterMark': 4096})
    .pipe(reader)
    .on('finish', function(err) {
      // tail padding
      const floatSamples =
          new Float32Array(recognizer.config.featConfig.sampleRate * 0.5);

      buf.push(floatSamples);
      const flattened =
          Float32Array.from(buf.reduce((a, b) => [...a, ...b], []));

      stream.acceptWaveform(recognizer.config.featConfig.sampleRate, flattened);
      recognizer.decode(stream);
      const text = recognizer.getResult(stream).text;
      console.log(text);

      stream.free();
      recognizer.free();
    });

readable.on('readable', function() {
  let chunk;
  while ((chunk = readable.read()) != null) {
    const int16Samples = new Int16Array(
        chunk.buffer, chunk.byteOffset,
        chunk.length / Int16Array.BYTES_PER_ELEMENT);

    const floatSamples = new Float32Array(int16Samples.length);

    for (let i = 0; i < floatSamples.length; i++) {
      floatSamples[i] = int16Samples[i] / 32768.0;
    }

    buf.push(floatSamples);
  }
});