#!/usr/bin/env python3
from collections import defaultdict
import os
import csv
import datasets

_NAME="RUV TV unknown speakers"
_VERSION="1.0.0"
_DESCRIPTION = """
RUV TV unknown speakers
"""

class RuvConfig(datasets.BuilderConfig):
    """BuilderConfig for The RUV TV unknown speakers Corpus"""

    def __init__(self, name, **kwargs):
        name=_NAME
        super().__init__(name=name, **kwargs)

class RuvAsr(datasets.GeneratorBasedBuilder):
    """RUV TV unknown speakers 1.0"""

    VERSION = datasets.Version(_VERSION)
    BUILDER_CONFIGS = [
        RuvConfig(
            name=_NAME,
            version=datasets.Version(_VERSION),
        )
    ]

    def _info(self):
        features = datasets.Features(
            {
                "audio_id": datasets.Value("string"),
                "audio": datasets.Audio(sampling_rate=16000),
                "show_name": datasets.Value("string"),
                "episode_id": datasets.Value("string"),
                "text": datasets.Value("string"),
            }
        )
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features,
        )

    def _split_generators(self, dl_manager: datasets.DownloadManager):
        metadata_path = dl_manager.download_and_extract("metadata.tsv")
        audio_dir = "audio"
        audio_paths = {}
        audio_archives = {}
        texts_path = dl_manager.download_and_extract("text")

        with open(metadata_path) as f:
            metadata = csv.DictReader(f, fieldnames=["audio_id", "episode_id", "show_name", "duration"], delimiter="\t")
            for line in metadata:
                audio_path = os.path.join(audio_dir, line["show_name"], line["episode_id"], line["audio_id"] + ".flac")
                audio_paths[line["audio_id"]] = audio_path
                try:
                    audio_archives[line["audio_id"]] = dl_manager.download_and_extract(audio_path)
                except FileNotFoundError as e:
                    print(e)
                    print("Failed to download", audio_path, "continuing...")
                    continue

        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"metadata_path": metadata_path, "audio_archives": audio_archives, "texts_path": texts_path}),
        ]

    def _generate_examples(self, metadata_path, audio_archives, texts_path):
        with open(metadata_path) as f, open(texts_path) as g:
            metadata = csv.DictReader(f, fieldnames=["audio_id", "episode_id", "show_name", "duration"], delimiter="\t")
            for line, text_line in zip(metadata, g.readlines()):
                audio_id = line["audio_id"]
                audio_file = audio_archives[audio_id]

                yield audio_id, {
                    "audio_id": audio_id,
                    "audio": {"path": audio_file, "bytes": open(audio_file, "rb").read()},
                    "show_name": line["show_name"],
                    "episode_id": line["episode_id"],
                    "text": text_line.split(" ", maxsplit=1)[1].rstrip(),
                }