from io import BytesIO
import requests
from os.path import exists, join
from espnet2.bin.tts_inference import Text2Speech
from enum import Enum
from .formatter import preprocess_text
from .stress import sentence_to_stress, stress_dict, stress_with_model
from torch import no_grad
import numpy as np
import time
import soundfile as sf


class Voices(Enum):
    """List of available voices for the model."""

    Olena = 4
    Mykyta = 3
    Lada = 2
    Dmytro = 1
    Olga = 5


class Stress(Enum):
    """Options how to stress sentence.
    - `dictionary` - performs lookup in dictionary, taking into account grammatical case of a word and its' neighbors
    - `model` - stress using transformer model"""

    Dictionary = "dictionary"
    Model = "model"


class TTS:
    """ """

    def __init__(self, cache_folder=None, device="cpu") -> None:
        """
        Class to setup a text-to-speech engine, from download to model creation.  \n
        Downloads or uses files from `cache_folder` directory.  \n
        By default stores in current directory."""
        self.device = device
        self.__setup_cache(cache_folder)

    def tts(self, text: str, voice: int, stress: str, output_fp=BytesIO(), speed=1.0):
        """
        Run a Text-to-Speech engine and output to `output_fp` BytesIO-like object.
        - `text` - your model input text.
        - `voice` - one of predefined voices from `Voices` enum.
        - `stress` - stress method options, predefined in `Stress` enum.
        - `output_fp` - file-like object output. Stores in RAM by default.
        """

        if stress not in [option.value for option in Stress]:
            raise ValueError(
                f"Invalid value for stress option selected! Please use one of the following values: {', '.join([option.value for option in Stress])}."
            )

        if stress == Stress.Model.value:
            stress = True
        else:
            stress = False
        if voice not in [option.value for option in Voices]:
            raise ValueError(
                f"Invalid value for voice selected! Please use one of the following values: {', '.join([option.value for option in Voices])}."
            )

        text = preprocess_text(text, stress)
        text = sentence_to_stress(text, stress_with_model if stress else stress_dict)

        # synthesis
        with no_grad():
            start = time.time()
            wav = self.synthesizer(
                text, sids=np.array(voice), decode_conf={"alpha": 1 / speed}
            )["wav"]

        rtf = (time.time() - start) / (len(wav) / self.synthesizer.fs)
        print(f"RTF = {rtf:5f}")

        sf.write(
            output_fp,
            wav.view(-1).cpu().numpy(),
            self.synthesizer.fs,
            "PCM_16",
            format="wav",
        )

        output_fp.seek(0)

        return output_fp, text

    def __setup_cache(self, cache_folder=None):
        """Downloads models and stores them into `cache_folder`. By default stores in current directory."""
        print("downloading uk/mykyta/vits-tts")
        release_number = "v4.0.0"
        model_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/model.pth"
        config_link = f"https://github.com/robinhad/ukrainian-tts/releases/download/{release_number}/config.yaml"

        if cache_folder is None:
            cache_folder = "."

        model_path = join(cache_folder, "model.pth")
        config_path = join(cache_folder, "config.yaml")

        self.__download(model_link, model_path)
        self.__download(config_link, config_path)

        self.synthesizer = Text2Speech(
            train_config="config.yaml",
            model_file="model.pth",
            device=self.device,
            # Only for VITS
            noise_scale=0.333,
            noise_scale_dur=0.333,
        )

    def __download(self, url, file_name):
        """Downloads file from `url` into local `file_name` file."""
        if not exists(file_name):
            print(f"Downloading {file_name}")
            r = requests.get(url, allow_redirects=True)
            with open(file_name, "wb") as file:
                file.write(r.content)
        else:
            print(f"Found {file_name}. Skipping download...")