# edge_tts_client.py
# -*- coding: utf-8 -*-
"""
EdgeTTS 流式语音合成客户端 - Day 21

特点：
- 完全免费
- 流式输出（边合成边播放）
- 低延迟
"""

import os
import asyncio
import edge_tts
from typing import AsyncGenerator, Optional

# 默认语音
DEFAULT_VOICE = os.getenv("EDGE_TTS_VOICE", "zh-CN-XiaoxiaoNeural")

# 语速调整 ("+0%", "+10%", "-10%" 等)
DEFAULT_RATE = os.getenv("EDGE_TTS_RATE", "+0%")

# 音量调整
DEFAULT_VOLUME = os.getenv("EDGE_TTS_VOLUME", "+0%")


async def text_to_speech_stream(
    text: str,
    voice: str = DEFAULT_VOICE,
    rate: str = DEFAULT_RATE,
    volume: str = DEFAULT_VOLUME,
) -> AsyncGenerator[bytes, None]:
    """
    流式文本转语音
    
    Args:
        text: 要合成的文本
        voice: 语音名称
        rate: 语速
        volume: 音量
    
    Yields:
        MP3 音频数据块
    """
    if not text or not text.strip():
        return
    
    try:
        communicate = edge_tts.Communicate(
            text=text,
            voice=voice,
            rate=rate,
            volume=volume,
        )
        
        async for chunk in communicate.stream():
            if chunk["type"] == "audio":
                yield chunk["data"]
                
    except Exception as e:
        print(f"[EdgeTTS] 合成失败: {e}")


async def text_to_speech(
    text: str,
    voice: str = DEFAULT_VOICE,
    rate: str = DEFAULT_RATE,
    volume: str = DEFAULT_VOLUME,
) -> bytes:
    """
    完整文本转语音（返回完整音频）
    
    Args:
        text: 要合成的文本
        voice: 语音名称
        rate: 语速
        volume: 音量
    
    Returns:
        MP3 音频数据
    """
    audio_chunks = []
    async for chunk in text_to_speech_stream(text, voice, rate, volume):
        audio_chunks.append(chunk)
    return b"".join(audio_chunks)


async def text_to_speech_pcm(
    text: str,
    voice: str = DEFAULT_VOICE,
    rate: str = DEFAULT_RATE,
    target_sample_rate: int = 16000,
) -> bytes:
    """
    文本转 PCM16 音频（用于直接播放）
    
    Args:
        text: 要合成的文本
        voice: 语音名称
        rate: 语速
        target_sample_rate: 目标采样率
    
    Returns:
        PCM16 音频数据
    """
    import io
    from pydub import AudioSegment
    
    # 获取 MP3 数据
    mp3_data = await text_to_speech(text, voice, rate)
    
    if not mp3_data:
        return b""
    
    try:
        # MP3 -> PCM 转换
        audio = AudioSegment.from_mp3(io.BytesIO(mp3_data))
        
        # 设置采样率和通道
        audio = audio.set_frame_rate(target_sample_rate)
        audio = audio.set_channels(1)  # 单声道
        audio = audio.set_sample_width(2)  # 16-bit
        
        return audio.raw_data
        
    except Exception as e:
        print(f"[EdgeTTS] PCM 转换失败: {e}")
        return b""


async def text_to_speech_pcm_stream(
    text: str,
    voice: str = DEFAULT_VOICE,
    rate: str = DEFAULT_RATE,
    target_sample_rate: int = 16000,
) -> AsyncGenerator[bytes, None]:
    """
    流式文本转 PCM16 音频
    
    注意：由于需要解码 MP3，这里采用分段合成的方式
    每遇到标点符号就合成一段
    
    Args:
        text: 要合成的文本
        voice: 语音名称
        rate: 语速
        target_sample_rate: 目标采样率
    
    Yields:
        PCM16 音频数据块
    """
    import io
    from pydub import AudioSegment
    
    # 按标点分割文本
    punctuation = "。，！？；：,.!?;:"
    segments = []
    current = ""
    
    for char in text:
        current += char
        if char in punctuation:
            segments.append(current.strip())
            current = ""
    
    if current.strip():
        segments.append(current.strip())
    
    # 逐段合成
    for segment in segments:
        if not segment:
            continue
            
        try:
            mp3_data = await text_to_speech(segment, voice, rate)
            
            if mp3_data:
                audio = AudioSegment.from_mp3(io.BytesIO(mp3_data))
                audio = audio.set_frame_rate(target_sample_rate)
                audio = audio.set_channels(1)
                audio = audio.set_sample_width(2)
                
                yield audio.raw_data
                
        except Exception as e:
            print(f"[EdgeTTS] 分段合成失败: {e}")


# 语音列表（常用中文）
CHINESE_VOICES = [
    "zh-CN-XiaoxiaoNeural",    # 女声，自然
    "zh-CN-YunxiNeural",       # 男声，自然
    "zh-CN-XiaoyiNeural",      # 女声，活泼
    "zh-CN-YunjianNeural",     # 男声，播报
    "zh-CN-XiaochenNeural",    # 女声，温柔
]


async def list_voices() -> list:
    """列出所有可用语音"""
    voices = await edge_tts.list_voices()
    return [v for v in voices if v["Locale"].startswith("zh")]