# -*- coding: utf-8 -*-
# Copyright 2020 TensorFlowTTS Team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Perform preprocessing and raw feature extraction for Baker dataset."""

import os
import re
from typing import Dict, List, Union, Tuple, Any

import librosa
import numpy as np
import soundfile as sf
from dataclasses import dataclass, field
from pypinyin import Style
from pypinyin.contrib.neutral_tone import NeutralToneWith5Mixin
from pypinyin.converter import DefaultConverter
from pypinyin.core import Pinyin
from tensorflow_tts.processor import BaseProcessor

_pad = ["pad"]
_eos = ["eos"]
_pause = ["sil", "#0", "#1", "#2", "#3"]

_initials = [
    "^",
    "b",
    "c",
    "ch",
    "d",
    "f",
    "g",
    "h",
    "j",
    "k",
    "l",
    "m",
    "n",
    "p",
    "q",
    "r",
    "s",
    "sh",
    "t",
    "x",
    "z",
    "zh",
]

_tones = ["1", "2", "3", "4", "5"]

_finals = [
    "a",
    "ai",
    "an",
    "ang",
    "ao",
    "e",
    "ei",
    "en",
    "eng",
    "er",
    "i",
    "ia",
    "ian",
    "iang",
    "iao",
    "ie",
    "ii",
    "iii",
    "in",
    "ing",
    "iong",
    "iou",
    "o",
    "ong",
    "ou",
    "u",
    "ua",
    "uai",
    "uan",
    "uang",
    "uei",
    "uen",
    "ueng",
    "uo",
    "v",
    "van",
    "ve",
    "vn",
]

BAKER_SYMBOLS = _pad + _pause + _initials + [i + j for i in _finals for j in _tones] + _eos


PINYIN_DICT = {
    "a": ("^", "a"),
    "ai": ("^", "ai"),
    "an": ("^", "an"),
    "ang": ("^", "ang"),
    "ao": ("^", "ao"),
    "ba": ("b", "a"),
    "bai": ("b", "ai"),
    "ban": ("b", "an"),
    "bang": ("b", "ang"),
    "bao": ("b", "ao"),
    "be": ("b", "e"),
    "bei": ("b", "ei"),
    "ben": ("b", "en"),
    "beng": ("b", "eng"),
    "bi": ("b", "i"),
    "bian": ("b", "ian"),
    "biao": ("b", "iao"),
    "bie": ("b", "ie"),
    "bin": ("b", "in"),
    "bing": ("b", "ing"),
    "bo": ("b", "o"),
    "bu": ("b", "u"),
    "ca": ("c", "a"),
    "cai": ("c", "ai"),
    "can": ("c", "an"),
    "cang": ("c", "ang"),
    "cao": ("c", "ao"),
    "ce": ("c", "e"),
    "cen": ("c", "en"),
    "ceng": ("c", "eng"),
    "cha": ("ch", "a"),
    "chai": ("ch", "ai"),
    "chan": ("ch", "an"),
    "chang": ("ch", "ang"),
    "chao": ("ch", "ao"),
    "che": ("ch", "e"),
    "chen": ("ch", "en"),
    "cheng": ("ch", "eng"),
    "chi": ("ch", "iii"),
    "chong": ("ch", "ong"),
    "chou": ("ch", "ou"),
    "chu": ("ch", "u"),
    "chua": ("ch", "ua"),
    "chuai": ("ch", "uai"),
    "chuan": ("ch", "uan"),
    "chuang": ("ch", "uang"),
    "chui": ("ch", "uei"),
    "chun": ("ch", "uen"),
    "chuo": ("ch", "uo"),
    "ci": ("c", "ii"),
    "cong": ("c", "ong"),
    "cou": ("c", "ou"),
    "cu": ("c", "u"),
    "cuan": ("c", "uan"),
    "cui": ("c", "uei"),
    "cun": ("c", "uen"),
    "cuo": ("c", "uo"),
    "da": ("d", "a"),
    "dai": ("d", "ai"),
    "dan": ("d", "an"),
    "dang": ("d", "ang"),
    "dao": ("d", "ao"),
    "de": ("d", "e"),
    "dei": ("d", "ei"),
    "den": ("d", "en"),
    "deng": ("d", "eng"),
    "di": ("d", "i"),
    "dia": ("d", "ia"),
    "dian": ("d", "ian"),
    "diao": ("d", "iao"),
    "die": ("d", "ie"),
    "ding": ("d", "ing"),
    "diu": ("d", "iou"),
    "dong": ("d", "ong"),
    "dou": ("d", "ou"),
    "du": ("d", "u"),
    "duan": ("d", "uan"),
    "dui": ("d", "uei"),
    "dun": ("d", "uen"),
    "duo": ("d", "uo"),
    "e": ("^", "e"),
    "ei": ("^", "ei"),
    "en": ("^", "en"),
    "ng": ("^", "en"),
    "eng": ("^", "eng"),
    "er": ("^", "er"),
    "fa": ("f", "a"),
    "fan": ("f", "an"),
    "fang": ("f", "ang"),
    "fei": ("f", "ei"),
    "fen": ("f", "en"),
    "feng": ("f", "eng"),
    "fo": ("f", "o"),
    "fou": ("f", "ou"),
    "fu": ("f", "u"),
    "ga": ("g", "a"),
    "gai": ("g", "ai"),
    "gan": ("g", "an"),
    "gang": ("g", "ang"),
    "gao": ("g", "ao"),
    "ge": ("g", "e"),
    "gei": ("g", "ei"),
    "gen": ("g", "en"),
    "geng": ("g", "eng"),
    "gong": ("g", "ong"),
    "gou": ("g", "ou"),
    "gu": ("g", "u"),
    "gua": ("g", "ua"),
    "guai": ("g", "uai"),
    "guan": ("g", "uan"),
    "guang": ("g", "uang"),
    "gui": ("g", "uei"),
    "gun": ("g", "uen"),
    "guo": ("g", "uo"),
    "ha": ("h", "a"),
    "hai": ("h", "ai"),
    "han": ("h", "an"),
    "hang": ("h", "ang"),
    "hao": ("h", "ao"),
    "he": ("h", "e"),
    "hei": ("h", "ei"),
    "hen": ("h", "en"),
    "heng": ("h", "eng"),
    "hong": ("h", "ong"),
    "hou": ("h", "ou"),
    "hu": ("h", "u"),
    "hua": ("h", "ua"),
    "huai": ("h", "uai"),
    "huan": ("h", "uan"),
    "huang": ("h", "uang"),
    "hui": ("h", "uei"),
    "hun": ("h", "uen"),
    "huo": ("h", "uo"),
    "ji": ("j", "i"),
    "jia": ("j", "ia"),
    "jian": ("j", "ian"),
    "jiang": ("j", "iang"),
    "jiao": ("j", "iao"),
    "jie": ("j", "ie"),
    "jin": ("j", "in"),
    "jing": ("j", "ing"),
    "jiong": ("j", "iong"),
    "jiu": ("j", "iou"),
    "ju": ("j", "v"),
    "juan": ("j", "van"),
    "jue": ("j", "ve"),
    "jun": ("j", "vn"),
    "ka": ("k", "a"),
    "kai": ("k", "ai"),
    "kan": ("k", "an"),
    "kang": ("k", "ang"),
    "kao": ("k", "ao"),
    "ke": ("k", "e"),
    "kei": ("k", "ei"),
    "ken": ("k", "en"),
    "keng": ("k", "eng"),
    "kong": ("k", "ong"),
    "kou": ("k", "ou"),
    "ku": ("k", "u"),
    "kua": ("k", "ua"),
    "kuai": ("k", "uai"),
    "kuan": ("k", "uan"),
    "kuang": ("k", "uang"),
    "kui": ("k", "uei"),
    "kun": ("k", "uen"),
    "kuo": ("k", "uo"),
    "la": ("l", "a"),
    "lai": ("l", "ai"),
    "lan": ("l", "an"),
    "lang": ("l", "ang"),
    "lao": ("l", "ao"),
    "le": ("l", "e"),
    "lei": ("l", "ei"),
    "leng": ("l", "eng"),
    "li": ("l", "i"),
    "lia": ("l", "ia"),
    "lian": ("l", "ian"),
    "liang": ("l", "iang"),
    "liao": ("l", "iao"),
    "lie": ("l", "ie"),
    "lin": ("l", "in"),
    "ling": ("l", "ing"),
    "liu": ("l", "iou"),
    "lo": ("l", "o"),
    "long": ("l", "ong"),
    "lou": ("l", "ou"),
    "lu": ("l", "u"),
    "lv": ("l", "v"),
    "luan": ("l", "uan"),
    "lve": ("l", "ve"),
    "lue": ("l", "ve"),
    "lun": ("l", "uen"),
    "luo": ("l", "uo"),
    "ma": ("m", "a"),
    "mai": ("m", "ai"),
    "man": ("m", "an"),
    "mang": ("m", "ang"),
    "mao": ("m", "ao"),
    "me": ("m", "e"),
    "mei": ("m", "ei"),
    "men": ("m", "en"),
    "meng": ("m", "eng"),
    "mi": ("m", "i"),
    "mian": ("m", "ian"),
    "miao": ("m", "iao"),
    "mie": ("m", "ie"),
    "min": ("m", "in"),
    "ming": ("m", "ing"),
    "miu": ("m", "iou"),
    "mo": ("m", "o"),
    "mou": ("m", "ou"),
    "mu": ("m", "u"),
    "na": ("n", "a"),
    "nai": ("n", "ai"),
    "nan": ("n", "an"),
    "nang": ("n", "ang"),
    "nao": ("n", "ao"),
    "ne": ("n", "e"),
    "nei": ("n", "ei"),
    "nen": ("n", "en"),
    "neng": ("n", "eng"),
    "ni": ("n", "i"),
    "nia": ("n", "ia"),
    "nian": ("n", "ian"),
    "niang": ("n", "iang"),
    "niao": ("n", "iao"),
    "nie": ("n", "ie"),
    "nin": ("n", "in"),
    "ning": ("n", "ing"),
    "niu": ("n", "iou"),
    "nong": ("n", "ong"),
    "nou": ("n", "ou"),
    "nu": ("n", "u"),
    "nv": ("n", "v"),
    "nuan": ("n", "uan"),
    "nve": ("n", "ve"),
    "nue": ("n", "ve"),
    "nuo": ("n", "uo"),
    "o": ("^", "o"),
    "ou": ("^", "ou"),
    "pa": ("p", "a"),
    "pai": ("p", "ai"),
    "pan": ("p", "an"),
    "pang": ("p", "ang"),
    "pao": ("p", "ao"),
    "pe": ("p", "e"),
    "pei": ("p", "ei"),
    "pen": ("p", "en"),
    "peng": ("p", "eng"),
    "pi": ("p", "i"),
    "pian": ("p", "ian"),
    "piao": ("p", "iao"),
    "pie": ("p", "ie"),
    "pin": ("p", "in"),
    "ping": ("p", "ing"),
    "po": ("p", "o"),
    "pou": ("p", "ou"),
    "pu": ("p", "u"),
    "qi": ("q", "i"),
    "qia": ("q", "ia"),
    "qian": ("q", "ian"),
    "qiang": ("q", "iang"),
    "qiao": ("q", "iao"),
    "qie": ("q", "ie"),
    "qin": ("q", "in"),
    "qing": ("q", "ing"),
    "qiong": ("q", "iong"),
    "qiu": ("q", "iou"),
    "qu": ("q", "v"),
    "quan": ("q", "van"),
    "que": ("q", "ve"),
    "qun": ("q", "vn"),
    "ran": ("r", "an"),
    "rang": ("r", "ang"),
    "rao": ("r", "ao"),
    "re": ("r", "e"),
    "ren": ("r", "en"),
    "reng": ("r", "eng"),
    "ri": ("r", "iii"),
    "rong": ("r", "ong"),
    "rou": ("r", "ou"),
    "ru": ("r", "u"),
    "rua": ("r", "ua"),
    "ruan": ("r", "uan"),
    "rui": ("r", "uei"),
    "run": ("r", "uen"),
    "ruo": ("r", "uo"),
    "sa": ("s", "a"),
    "sai": ("s", "ai"),
    "san": ("s", "an"),
    "sang": ("s", "ang"),
    "sao": ("s", "ao"),
    "se": ("s", "e"),
    "sen": ("s", "en"),
    "seng": ("s", "eng"),
    "sha": ("sh", "a"),
    "shai": ("sh", "ai"),
    "shan": ("sh", "an"),
    "shang": ("sh", "ang"),
    "shao": ("sh", "ao"),
    "she": ("sh", "e"),
    "shei": ("sh", "ei"),
    "shen": ("sh", "en"),
    "sheng": ("sh", "eng"),
    "shi": ("sh", "iii"),
    "shou": ("sh", "ou"),
    "shu": ("sh", "u"),
    "shua": ("sh", "ua"),
    "shuai": ("sh", "uai"),
    "shuan": ("sh", "uan"),
    "shuang": ("sh", "uang"),
    "shui": ("sh", "uei"),
    "shun": ("sh", "uen"),
    "shuo": ("sh", "uo"),
    "si": ("s", "ii"),
    "song": ("s", "ong"),
    "sou": ("s", "ou"),
    "su": ("s", "u"),
    "suan": ("s", "uan"),
    "sui": ("s", "uei"),
    "sun": ("s", "uen"),
    "suo": ("s", "uo"),
    "ta": ("t", "a"),
    "tai": ("t", "ai"),
    "tan": ("t", "an"),
    "tang": ("t", "ang"),
    "tao": ("t", "ao"),
    "te": ("t", "e"),
    "tei": ("t", "ei"),
    "teng": ("t", "eng"),
    "ti": ("t", "i"),
    "tian": ("t", "ian"),
    "tiao": ("t", "iao"),
    "tie": ("t", "ie"),
    "ting": ("t", "ing"),
    "tong": ("t", "ong"),
    "tou": ("t", "ou"),
    "tu": ("t", "u"),
    "tuan": ("t", "uan"),
    "tui": ("t", "uei"),
    "tun": ("t", "uen"),
    "tuo": ("t", "uo"),
    "wa": ("^", "ua"),
    "wai": ("^", "uai"),
    "wan": ("^", "uan"),
    "wang": ("^", "uang"),
    "wei": ("^", "uei"),
    "wen": ("^", "uen"),
    "weng": ("^", "ueng"),
    "wo": ("^", "uo"),
    "wu": ("^", "u"),
    "xi": ("x", "i"),
    "xia": ("x", "ia"),
    "xian": ("x", "ian"),
    "xiang": ("x", "iang"),
    "xiao": ("x", "iao"),
    "xie": ("x", "ie"),
    "xin": ("x", "in"),
    "xing": ("x", "ing"),
    "xiong": ("x", "iong"),
    "xiu": ("x", "iou"),
    "xu": ("x", "v"),
    "xuan": ("x", "van"),
    "xue": ("x", "ve"),
    "xun": ("x", "vn"),
    "ya": ("^", "ia"),
    "yan": ("^", "ian"),
    "yang": ("^", "iang"),
    "yao": ("^", "iao"),
    "ye": ("^", "ie"),
    "yi": ("^", "i"),
    "yin": ("^", "in"),
    "ying": ("^", "ing"),
    "yo": ("^", "iou"),
    "yong": ("^", "iong"),
    "you": ("^", "iou"),
    "yu": ("^", "v"),
    "yuan": ("^", "van"),
    "yue": ("^", "ve"),
    "yun": ("^", "vn"),
    "za": ("z", "a"),
    "zai": ("z", "ai"),
    "zan": ("z", "an"),
    "zang": ("z", "ang"),
    "zao": ("z", "ao"),
    "ze": ("z", "e"),
    "zei": ("z", "ei"),
    "zen": ("z", "en"),
    "zeng": ("z", "eng"),
    "zha": ("zh", "a"),
    "zhai": ("zh", "ai"),
    "zhan": ("zh", "an"),
    "zhang": ("zh", "ang"),
    "zhao": ("zh", "ao"),
    "zhe": ("zh", "e"),
    "zhei": ("zh", "ei"),
    "zhen": ("zh", "en"),
    "zheng": ("zh", "eng"),
    "zhi": ("zh", "iii"),
    "zhong": ("zh", "ong"),
    "zhou": ("zh", "ou"),
    "zhu": ("zh", "u"),
    "zhua": ("zh", "ua"),
    "zhuai": ("zh", "uai"),
    "zhuan": ("zh", "uan"),
    "zhuang": ("zh", "uang"),
    "zhui": ("zh", "uei"),
    "zhun": ("zh", "uen"),
    "zhuo": ("zh", "uo"),
    "zi": ("z", "ii"),
    "zong": ("z", "ong"),
    "zou": ("z", "ou"),
    "zu": ("z", "u"),
    "zuan": ("z", "uan"),
    "zui": ("z", "uei"),
    "zun": ("z", "uen"),
    "zuo": ("z", "uo"),
}


zh_pattern = re.compile("[\u4e00-\u9fa5]")


def is_zh(word):
    global zh_pattern
    match = zh_pattern.search(word)
    return match is not None


class MyConverter(NeutralToneWith5Mixin, DefaultConverter):
    pass


@dataclass
class BakerProcessor(BaseProcessor):

    pinyin_dict: Dict[str, Tuple[str, str]] = field(default_factory=lambda: PINYIN_DICT)
    cleaner_names: str = None
    target_rate: int = 24000
    speaker_name: str = "baker"

    def __post_init__(self):
        super().__post_init__()
        self.pinyin_parser = self.get_pinyin_parser()

    def setup_eos_token(self):
        return _eos[0]

    def create_items(self):
        items = []
        if self.data_dir:
            with open(
                os.path.join(self.data_dir, "ProsodyLabeling/000001-010000.txt"),
                encoding="utf-8",
            ) as ttf:
                lines = ttf.readlines()
                for idx in range(0, len(lines), 2):
                    utt_id, chn_char = lines[idx].strip().split()
                    pinyin = lines[idx + 1].strip().split()
                    if "IY1" in pinyin or "Ｂ" in chn_char:
                        print(f"Skip this: {utt_id} {chn_char} {pinyin}")
                        continue
                    phonemes = self.get_phoneme_from_char_and_pinyin(chn_char, pinyin)
                    wav_path = os.path.join(self.data_dir, "Wave", "%s.wav" % utt_id)
                    items.append(
                        [" ".join(phonemes), wav_path, utt_id, self.speaker_name]
                    )
            self.items = items

    def get_phoneme_from_char_and_pinyin(self, chn_char, pinyin):
        # we do not need #4, use sil to replace it
        chn_char = chn_char.replace("#4", "")
        char_len = len(chn_char)
        i, j = 0, 0
        result = ["sil"]
        while i < char_len:
            cur_char = chn_char[i]
            if is_zh(cur_char):
                if pinyin[j][:-1] not in self.pinyin_dict:
                    assert chn_char[i + 1] == "儿"
                    assert pinyin[j][-2] == "r"
                    tone = pinyin[j][-1]
                    a = pinyin[j][:-2]
                    a1, a2 = self.pinyin_dict[a]
                    result += [a1, a2 + tone, "er5"]
                    if i + 2 < char_len and chn_char[i + 2] != "#":
                        result.append("#0")

                    i += 2
                    j += 1
                else:
                    tone = pinyin[j][-1]
                    a = pinyin[j][:-1]
                    a1, a2 = self.pinyin_dict[a]
                    result += [a1, a2 + tone]

                    if i + 1 < char_len and chn_char[i + 1] != "#":
                        result.append("#0")

                    i += 1
                    j += 1
            elif cur_char == "#":
                result.append(chn_char[i : i + 2])
                i += 2
            else:
                # ignore the unknown char and punctuation
                # result.append(chn_char[i])
                i += 1
        if result[-1] == "#0":
            result = result[:-1]
        result.append("sil")
        assert j == len(pinyin)
        return result

    def get_one_sample(self, item):
        text, wav_file, utt_id, speaker_name = item

        # normalize audio signal to be [-1, 1], soundfile already norm.
        audio, rate = sf.read(wav_file)
        audio = audio.astype(np.float32)
        if rate != self.target_rate:
            assert rate > self.target_rate
            audio = librosa.resample(audio, rate, self.target_rate)

        # convert text to ids
        try:
            text_ids = np.asarray(self.text_to_sequence(text), np.int32)
        except Exception as e:
            print(e, utt_id, text)
            return None

        # return None
        sample = {
            "raw_text": text,
            "text_ids": text_ids,
            "audio": audio,
            "utt_id": str(int(utt_id)),
            "speaker_name": speaker_name,
            "rate": self.target_rate,
        }

        return sample

    def get_pinyin_parser(self):
        my_pinyin = Pinyin(MyConverter())
        pinyin = my_pinyin.pinyin
        return pinyin

    def text_to_sequence(self, text, inference=False):
        if inference:
            pinyin = self.pinyin_parser(text, style=Style.TONE3, errors="ignore")
            new_pinyin = []
            for x in pinyin:
                x = "".join(x)
                if "#" not in x:
                    new_pinyin.append(x)
            phonemes = self.get_phoneme_from_char_and_pinyin(text, new_pinyin)
            text = " ".join(phonemes)
            print(f"phoneme seq: {text}")

        sequence = []
        for symbol in text.split():
            idx = self.symbol_to_id[symbol]
            sequence.append(idx)
        
        # add eos tokens
        sequence += [self.eos_id]
        return sequence
