import argparse
import random
import string
import torch

from functools import cache
from pathlib import Path
from phonemizer import phonemize
from phonemizer.backend import BACKENDS

from tqdm import tqdm

@cache
def _get_graphs(path):
	with open(path, "r") as f:
		graphs = f.read()
	return graphs

cached_backends = {}
def _get_backend( language="en-us", backend="espeak" ):
	key = f'{language}_{backend}'
	if key in cached_backends:
		return cached_backends[key]

	if backend == 'espeak':
		phonemizer = BACKENDS[backend]( language, preserve_punctuation=True, with_stress=True)
	elif backend == 'espeak-mbrola':
		phonemizer = BACKENDS[backend]( language )
	else: 
		phonemizer = BACKENDS[backend]( language, preserve_punctuation=True )

	cached_backends[key] = phonemizer
	return phonemizer


def encode(text: str, language="en-us", backend="auto") -> list[str]:
	if language == "en":
		language = "en-us"

	if not backend or backend == "auto":
		backend = "espeak" # if language[:2] != "en" else "festival"

	text = [ text ]

	backend = _get_backend(language=language, backend=backend)
	if backend is not None:
		tokens = backend.phonemize( text, strip=True )
	else:
		tokens = phonemize( text, language=language, strip=True, preserve_punctuation=True, with_stress=True )
	
	tokens = list(tokens[0])
	tokenized = " ".join( tokens )

	merges = [ "\u02C8", "\u02CC", "\u02D0" ]
	for merge in merges:
		tokenized = tokenized.replace( f' {merge}', merge )

	return tokenized.split(" ")


@torch.no_grad()
def main():
	parser = argparse.ArgumentParser()
	parser.add_argument("folder", type=Path)
	parser.add_argument("--suffix", type=str, default=".txt")
	args = parser.parse_args()

	paths = list(args.folder.rglob(f"*{args.suffix}"))

	for path in tqdm(paths):
		phone_path = path.with_name(path.stem.split(".")[0] + ".phn.txt")
		if phone_path.exists():
			continue
		phones = encode(open(path, "r", encoding="utf-8").read())
		open(phone_path, "w", encoding="utf-8").write(" ".join(phones))


if __name__ == "__main__":
	main()