mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
synced 2026-07-23 23:53:55 +08:00
351 lines
14 KiB
Python
351 lines
14 KiB
Python
import asyncio
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import gc
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import io
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import threading
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import traceback
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import uuid
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from concurrent.futures import ThreadPoolExecutor
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import torch
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import torchaudio
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from config.logger import setup_logging
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import os
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import numpy as np
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import opuslib_next
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from pydub import AudioSegment
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from abc import ABC, abstractmethod
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from core.utils import textUtils
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from core.opus import opus_encoder_utils
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import queue
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from core.providers.tts.dto.dto import MsgType, TTSMessageDTO, SentenceType
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TAG = __name__
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logger = setup_logging()
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class TTSProviderBase(ABC):
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def __init__(self, config, delete_audio_file):
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self.config = config
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self.delete_audio_file = delete_audio_file
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self.output_file = config.get("output_dir")
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self.tts_text_queue = queue.Queue()
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self.tts_audio_queue = queue.Queue()
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self.enable_two_way = False
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self.stop_event = threading.Event()
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self.opus_encoder = opus_encoder_utils.OpusEncoderUtils(sample_rate=16000, channels=1, frame_size_ms=60)
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self.tts_text_buff = []
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self.punctuations = (
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"。",
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"？",
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"！",
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"；",
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"：",
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".",
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"?",
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"!",
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";",
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":",
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" ",
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",",
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"，",
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)
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self.tts_request = False
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self.tts_stop_request = False
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self.processed_chars = 0
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self.stream = False
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self.last_to_opus_raw = b""
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# 启动tts_text_queue监听线程
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# 线程任务相关
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self.loop = asyncio.get_event_loop()
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self.process_tasks_loop = asyncio.get_event_loop()
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self.max_workers = self.config.get("TTS_SET", {}).get("MAX_WORKERS", 3)
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self.active_tasks = set() # 追踪当前运行的任务
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self.executor = ThreadPoolExecutor(max_workers=self.max_workers)
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async def open_audio_channels(self):
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# 启动tts_text_queue监听线程
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tts_priority = threading.Thread(
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target=self._tts_text_priority_thread, daemon=True
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)
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tts_priority.start()
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async def close(self):
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self.stop_event
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def _get_segment_text(self):
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# 合并当前全部文本并处理未分割部分
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full_text = "".join(self.tts_text_buff)
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current_text = full_text[self.processed_chars:] # 从未处理的位置开始
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last_punct_pos = -1
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for punct in self.punctuations:
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pos = current_text.rfind(punct)
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if (pos != -1 and last_punct_pos == -1) or (
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pos != -1 and pos < last_punct_pos
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):
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last_punct_pos = pos
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if last_punct_pos != -1:
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segment_text_raw = current_text[: last_punct_pos + 1]
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segment_text = textUtils.get_string_no_punctuation_or_emoji(
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segment_text_raw
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)
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self.processed_chars += len(segment_text_raw) # 更新已处理字符位置
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return segment_text
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elif self.tts_stop_request and current_text:
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segment_text = current_text
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return segment_text
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else:
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return None
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async def process_generator(self, generator):
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async for tts_data in generator:
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self.tts_audio_queue.put(tts_data)
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def _tts_text_priority_thread(self):
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logger.bind(tag=TAG).info("开始监听tts文本")
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if self.enable_two_way:
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self._enable_two_way_tts()
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else:
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self._no_enable_two_way_tts()
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async def start_session(self, session_id):
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pass
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async def finish_session(self, session_id):
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pass
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def tts_one_sentence(self, conn, text, u_id=None):
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if not u_id:
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if conn.u_id:
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u_id = conn.u_id
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else:
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u_id = str(uuid.uuid4()).replace("-", "")
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conn.u_id = u_id
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self.tts_text_queue.put(
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TTSMessageDTO(u_id=u_id, msg_type=MsgType.START_TTS_REQUEST, content="")
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)
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self.tts_text_queue.put(
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TTSMessageDTO(u_id=u_id, msg_type=MsgType.TTS_TEXT_REQUEST, content=text)
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)
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self.tts_text_queue.put(
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TTSMessageDTO(u_id=u_id, msg_type=MsgType.STOP_TTS_REQUEST, content="")
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)
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def _enable_two_way_tts(self):
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while not self.stop_event.is_set():
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try:
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ttsMessageDTO = self.tts_text_queue.get()
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msg_type = ttsMessageDTO.msg_type
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if msg_type == MsgType.START_TTS_REQUEST:
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# 开始传输tts文本
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self.tts_request = True
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self.tts_stop_request = False
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self.u_id = ttsMessageDTO.u_id
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# 开启session
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future = asyncio.run_coroutine_threadsafe(
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self.start_session(ttsMessageDTO.u_id), loop=self.loop
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)
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future.result()
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# await self.start_session(ttsMessageDTO.u_id)
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elif self.tts_request and msg_type == MsgType.TTS_TEXT_REQUEST:
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future = asyncio.run_coroutine_threadsafe(
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self.text_to_speak(
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u_id=ttsMessageDTO.u_id, text=ttsMessageDTO.content
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),
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loop=self.loop,
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)
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future.result()
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elif msg_type == MsgType.STOP_TTS_REQUEST:
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self.tts_request = False
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self.tts_stop_request = True
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future = asyncio.run_coroutine_threadsafe(
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self.finish_session(ttsMessageDTO.u_id), loop=self.loop
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)
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future.result()
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except Exception as e:
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logger.bind(tag=TAG).error(f"Failed to process TTS text: {e}")
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# 报错了。要关闭说话
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self.tts_audio_queue.put(
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TTSMessageDTO(
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u_id=self.u_id,
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msg_type=MsgType.STOP_TTS_RESPONSE,
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content=[],
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tts_finish_text="",
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sentence_type=None,
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)
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)
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traceback.print_exc()
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def _no_enable_two_way_tts(self):
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# 为这个线程创建一个新的事件循环
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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while not self.stop_event.is_set():
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try:
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ttsMessageDTO = self.tts_text_queue.get()
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msg_type = ttsMessageDTO.msg_type
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if not self.enable_two_way:
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if msg_type == MsgType.START_TTS_REQUEST:
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# 开始传输tts文本
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self.tts_request = True
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self.tts_stop_request = False
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self.processed_chars = 0
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self.tts_text_buff = []
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elif self.tts_request and msg_type == MsgType.TTS_TEXT_REQUEST:
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self.tts_text_buff.append(ttsMessageDTO.content)
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elif msg_type == MsgType.STOP_TTS_REQUEST:
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# 结束传输tts文本,处理最尾巴的数据
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self.tts_request = False
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self.tts_stop_request = True
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segment_text = self._get_segment_text()
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if segment_text:
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# 修改部分：创建协程对象
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# 修改部分：创建协程对象
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tts_generator = self.text_to_speak(
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ttsMessageDTO.u_id,
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segment_text,
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True if msg_type == MsgType.STOP_TTS_REQUEST else False,
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(
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True
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if msg_type == MsgType.START_TTS_REQUEST
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else False
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),
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)
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future = asyncio.run_coroutine_threadsafe(
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self.process_generator(tts_generator), self.loop
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)
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self.active_tasks.add(future)
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if self.active_tasks:
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async def wrap_future(future):
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return await asyncio.wrap_future(future)
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wrapped_tasks = [
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wrap_future(task) for task in self.active_tasks
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]
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done, _ = loop.run_until_complete(
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asyncio.wait(wrapped_tasks)
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)
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self.active_tasks -= done
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# 发送合成结束
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self.tts_audio_queue.put(
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TTSMessageDTO(
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u_id=ttsMessageDTO.u_id,
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msg_type=MsgType.STOP_TTS_RESPONSE,
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content=[],
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tts_finish_text="",
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sentence_type=SentenceType.SENTENCE_END,
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)
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)
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segment_text = self._get_segment_text()
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if segment_text:
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# 确保这里得到的是协程对象
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tts_generator = self.text_to_speak(
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ttsMessageDTO.u_id,
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segment_text,
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msg_type == MsgType.STOP_TTS_REQUEST,
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msg_type == MsgType.START_TTS_REQUEST,
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)
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# 提交协程到事件循环
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tts_generator_future = asyncio.run_coroutine_threadsafe(
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self.process_generator(tts_generator), loop
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)
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self.active_tasks.add(tts_generator_future)
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if len(self.active_tasks) >= self.max_workers:
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# 等待所有任务完成
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try:
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async def wrap_future(future):
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return await asyncio.wrap_future(future)
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wrapped_tasks = [
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wrap_future(task) for task in self.active_tasks
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]
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done, _ = loop.run_until_complete(
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asyncio.wait(wrapped_tasks)
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)
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self.active_tasks -= done
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except Exception as e:
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logger.bind(tag=TAG).error(
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f"Failed to process TTS text: {e}"
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)
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traceback.print_exc()
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else:
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pass
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except Exception as e:
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logger.bind(tag=TAG).error(f"Failed to process TTS text: {e}")
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traceback.print_exc()
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@abstractmethod
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def generate_filename(self):
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pass
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@abstractmethod
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async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
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pass
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async def text_to_speak_stream(self, text, queue: queue.Queue, text_index=0):
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raise Exception("该TTS还没有实现stream模式")
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def audio_to_opus_data(self, audio_file_path):
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"""音频文件转换为Opus编码"""
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# 获取文件后缀名
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file_type = os.path.splitext(audio_file_path)[1]
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if file_type:
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file_type = file_type.lstrip(".")
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audio = AudioSegment.from_file(audio_file_path, format=file_type)
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# 转换为单声道/16kHz采样率/16位小端编码（确保与编码器匹配）
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audio = audio.set_channels(1).set_frame_rate(16000).set_sample_width(2)
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# 音频时长(秒)
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duration = len(audio) / 1000.0
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# 获取原始PCM数据（16位小端）
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raw_data = audio.raw_data
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# 初始化Opus编码器
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encoder = opuslib_next.Encoder(16000, 1, opuslib_next.APPLICATION_AUDIO)
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# 编码参数
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frame_duration = 60 # 60ms per frame
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frame_size = int(16000 * frame_duration / 1000) # 960 samples/frame
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opus_datas = []
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# 按帧处理所有音频数据（包括最后一帧可能补零）
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for i in range(0, len(raw_data), frame_size * 2): # 16bit=2bytes/sample
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# 获取当前帧的二进制数据
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chunk = raw_data[i: i + frame_size * 2]
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# 如果最后一帧不足，补零
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if len(chunk) < frame_size * 2:
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chunk += b"\x00" * (frame_size * 2 - len(chunk))
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# 转换为numpy数组处理
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np_frame = np.frombuffer(chunk, dtype=np.int16)
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# 编码Opus数据
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opus_data = encoder.encode(np_frame.tobytes(), frame_size)
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opus_datas.append(opus_data)
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return opus_datas, duration
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def get_audio_from_tts(self, data_bytes, src_rate, to_rate=16000):
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tts_speech = torch.from_numpy(
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np.array(np.frombuffer(data_bytes, dtype=np.int16))
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).unsqueeze(dim=0)
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with io.BytesIO() as bf:
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torchaudio.save(bf, tts_speech, src_rate, format="wav")
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audio = AudioSegment.from_file(bf, format="wav")
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audio = audio.set_channels(1).set_frame_rate(to_rate)
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return audio
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def wav_to_opus_data_audio_raw(self, raw_data_var, is_end=False):
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opus_datas = self.opus_encoder.encode_pcm_to_opus(raw_data_var, is_end)
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return opus_datas
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