#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 18 16:14:58 2023

@author: lin.kinwahedward
"""
#------------------------------------------------------------------------------
# Standard Libraries
import datasets
import numpy as np
import os
#------------------------------------------------------------------------------
"""The Audio, Speech, and Vision Processing Lab - Emotional Sound Database (ASVP - ESD)"""

_CITATION = """\
@article{gsj2020asvpesd,
  title={ASVP-ESD:A dataset and its benchmark for emotion recognition using both speech and non-speech utterances},
  author={Dejoli Tientcheu Touko Landry and Qianhua He and Haikang Yan and Yanxiong Li},
  journal={Global Scientific Journals},
  volume={8},
  issue={6},
  pages={1793--1798},
  year={2020}
}
"""

_DESCRIPTION = """\
ASVP-ESD
"""

_HOMEPAGE = "https://www.kaggle.com/datasets/dejolilandry/asvpesdspeech-nonspeech-emotional-utterances?resource=download-directory"

_LICENSE = "CC BY 4.0"

_DATA_URL = "https://drive.google.com/uc?export=download&id=1aKnr5kXgUjMB5MAhUTZmm3b8gjP8qA3O"


id2labels = {
    1: "boredom,sigh",
    2: "neutral,calm",
    3: "happy,laugh,gaggle",
    4: "sad,cry",
    5: "angry,grunt,frustration",
    6: "fearful,scream,panic",
    7: "disgust,dislike,contempt",
    8: "surprised,gasp,amazed",
    9: "excited",
    10: "pleasure",
    11: "pain,groan",
    12: "disappointment,disapproval",
    13: "breath"
}

#------------------------------------------------------------------------------
# Define Dataset Configuration (e.g., subset of dataset, but it is not used here.)
class ASVP_ESD_Config(datasets.BuilderConfig):
    #--------------------------------------------------------------------------
    def __init__(self, name, description, homepage, data_url):
        
        super(ASVP_ESD_Config, self).__init__(
            name = self.name,
            version = datasets.Version("1.0.0"),
            description = self.description,
        )
        self.name = name
        self.description = description
        self.homepage = homepage
        self.data_url = data_url
#------------------------------------------------------------------------------
# Define Dataset Class
class ASVP_ESD(datasets.GeneratorBasedBuilder):
    #--------------------------------------------------------------------------
    BUILDER_CONFIGS = [ASVP_ESD_Config(
        name = "ASVP_ESD",
        description = _DESCRIPTION,
        homepage = _HOMEPAGE,
        data_url = _DATA_URL
        )]
    #--------------------------------------------------------------------------
    '''
        Define the "column header" (feature) of a datum.
        3 Features:
            1) path_to_file
            2) audio samples
            3) emotion label
    '''
    def _info(self):
        
        features = datasets.Features(
                {
                    "path": datasets.Value("string"),
                    "audio": datasets.Audio(sampling_rate = 16000),
                    "label": datasets.ClassLabel(
                        names = [
                            "boredom,sigh",
                            "neutral,calm",
                            "happy,laugh,gaggle",
                            "sad,cry",
                            "angry,grunt,frustration",
                            "fearful,scream,panic",
                            "disgust,dislike,contempt",
                            "surprised,gasp,amazed",
                            "excited",
                            "pleasure",
                            "pain,groan",
                            "disappointment,disapproval",
                            "breath"
                        ])
                }
            )
        
        # return dataset info and data feature info
        return datasets.DatasetInfo(
            description = _DESCRIPTION,
            features = features,
            homepage = _HOMEPAGE,
            citation = _CITATION,
        )
    #--------------------------------------------------------------------------
    def _split_generators(self, dl_manager):
        
        dataset_path = dl_manager.download_and_extract(self.config.data_url)
        
        return [
            datasets.SplitGenerator(
                # set the whole dataset as "training set". No worry, can split later! 
                name = datasets.Split.TRAIN,
                # _generate_examples()'s parameters, thus name must match!
                gen_kwargs = {
                    "dataset_path": dataset_path
                },
            )
        ]
    #--------------------------------------------------------------------------
    def _generate_examples(self, dataset_path):
        '''
            Get the audio file and set the corresponding labels
        '''
        key = 0
        actors = np.arange(129)
        for dir_name in actors:
            #--------------------------------------------------------------------------
            dir_path = dataset_path + "/ASVP_ESD/Speech/actor_" + str(dir_name)
            for filename in os.listdir(dir_path):
                if filename.endswith(".wav"):
                    labels = filename[:-4].split("_")
                    yield key, {
                        "path": dir_path + "/" + filename,
                        # huggingface dataset's will use soundfile to read the audio file
                        "audio": dir_path + "/" + filename,
                        "label": id2labels[int(labels[0])],
                    }
                    key += 1
            #--------------------------------------------------------------------------
            dir_path = dataset_path + "/ASVP_ESD/NonSpeech/actor_" + str(dir_name)
            for filename in os.listdir(dir_path):
                if filename.endswith(".wav"):
                    labels = filename[:-4].split("_")
                    yield key, {
                        "path": dir_path + "/" + filename,
                        # huggingface dataset's will use soundfile to read the audio file
                        "audio": dir_path + "/" + filename,
                        "label": id2labels[int(labels[0])],
                    }
                    key += 1
#------------------------------------------------------------------------------