Fix long audio bug (#158)

* update:异步生成音频

* update:优化LLM断句

---------

Co-authored-by: hrz <1710360675@qq.com>
This commit is contained in:
欣南科技
2025-03-01 01:54:55 +08:00
committed by GitHub
co-authored by hrz
parent 2c88a36f32
commit b94842c312
8 changed files with 73 additions and 234 deletions
+49 -36
View File
@@ -9,8 +9,6 @@ from config.logger import setup_logging
import threading
import websockets
from typing import Dict, Any
from collections import deque
from core.utils.util import is_segment
from core.utils.dialogue import Message, Dialogue
from core.handle.textHandle import handleTextMessage
from core.utils.util import get_string_no_punctuation_or_emoji
@@ -21,7 +19,6 @@ from config.private_config import PrivateConfig
from core.auth import AuthMiddleware, AuthenticationError
from core.utils.auth_code_gen import AuthCodeGenerator
TAG = __name__
@@ -45,8 +42,8 @@ class ConnectionHandler:
self.loop = asyncio.get_event_loop()
self.stop_event = threading.Event()
self.tts_queue = queue.Queue()
self.audio_play_queue = queue.Queue()
self.executor = ThreadPoolExecutor(max_workers=10)
self.scheduled_tasks = deque()
# 依赖的组件
self.vad = _vad
@@ -140,9 +137,14 @@ class ConnectionHandler:
await self.loop.run_in_executor(None, self._initialize_components)
tts_priority = threading.Thread(target=self._priority_thread, daemon=True)
# tts 消化线程
tts_priority = threading.Thread(target=self._tts_priority_thread, daemon=True)
tts_priority.start()
# 音频播放 消化线程
audio_play_priority = threading.Thread(target=self._audio_play_priority_thread, daemon=True)
audio_play_priority.start()
try:
async for message in self.websocket:
await self._route_message(message)
@@ -198,10 +200,8 @@ class ConnectionHandler:
return not self.is_device_verified
def chat(self, query):
# 如果设备未验证,就发送验证码
if self.isNeedAuth():
self.llm_finish_task = True
# 创建一个新的事件循环来运行异步函数
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
@@ -212,49 +212,61 @@ class ConnectionHandler:
self.dialogue.put(Message(role="user", content=query))
response_message = []
start = 0
# 提交 LLM 任务
processed_chars = 0 # 跟踪已处理的字符位置
try:
start_time = time.time() # 记录开始时间
start_time = time.time()
llm_responses = self.llm.response(self.session_id, self.dialogue.get_llm_dialogue())
except Exception as e:
self.logger.bind(tag=TAG).error(f"LLM 处理出错 {query}: {e}")
return None
# 提交 TTS 任务到线程池
self.llm_finish_task = False
for content in llm_responses:
response_message.append(content)
# 如果中途被打断,就停止生成
if self.client_abort:
start = len(response_message)
break
end_time = time.time() # 记录结束时间
self.logger.bind(tag=TAG).debug(f"大模型返回时间时间: {end_time - start_time} 秒, 生成token={content}")
if is_segment(response_message):
segment_text = "".join(response_message[start:])
segment_text = get_string_no_punctuation_or_emoji(segment_text)
if len(segment_text) > 0:
end_time = time.time()
self.logger.bind(tag=TAG).debug(f"大模型返回时间: {end_time - start_time} 秒, 生成token={content}")
# 合并当前全部文本并处理未分割部分
full_text = "".join(response_message)
current_text = full_text[processed_chars:] # 从未处理的位置开始
# 查找最后一个有效标点
punctuations = ("", "", "", ".", "?", "!", ";", "", ":", "", "", ",")
last_punct_pos = -1
for punct in punctuations:
pos = current_text.rfind(punct)
if pos > last_punct_pos:
last_punct_pos = pos
# 找到分割点则处理
if last_punct_pos != -1:
segment_text_raw = current_text[:last_punct_pos + 1]
segment_text = get_string_no_punctuation_or_emoji(segment_text_raw)
if segment_text:
self.recode_first_last_text(segment_text)
future = self.executor.submit(self.speak_and_play, segment_text)
self.tts_queue.put(future)
start = len(response_message)
processed_chars += len(segment_text_raw) # 更新已处理字符位置
# 处理剩余的响应
if start < len(response_message):
segment_text = "".join(response_message[start:])
if len(segment_text) > 0:
# 处理最后剩余的文本
full_text = "".join(response_message)
remaining_text = full_text[processed_chars:]
if remaining_text:
segment_text = get_string_no_punctuation_or_emoji(remaining_text)
if segment_text:
self.recode_first_last_text(segment_text)
future = self.executor.submit(self.speak_and_play, segment_text)
self.tts_queue.put(future)
self.llm_finish_task = True
# 更新对话
self.dialogue.put(Message(role="assistant", content="".join(response_message)))
self.logger.bind(tag=TAG).debug(json.dumps(self.dialogue.get_llm_dialogue(), indent=4, ensure_ascii=False))
return True
def _priority_thread(self):
def _tts_priority_thread(self):
while not self.stop_event.is_set():
text = None
try:
@@ -276,7 +288,6 @@ class ConnectionHandler:
else:
self.logger.bind(tag=TAG).error(f"TTS文件不存在: {tts_file}")
opus_datas = []
duration = 0
except TimeoutError:
self.logger.bind(tag=TAG).error("TTS 任务超时")
continue
@@ -285,9 +296,7 @@ class ConnectionHandler:
continue
if not self.client_abort:
# 如果没有中途打断就发送语音
asyncio.run_coroutine_threadsafe(
sendAudioMessage(self, opus_datas, duration, text), self.loop
)
self.audio_play_queue.put((opus_datas, text))
if self.tts.delete_audio_file and os.path.exists(tts_file):
os.remove(tts_file)
except Exception as e:
@@ -299,6 +308,16 @@ class ConnectionHandler:
)
self.logger.bind(tag=TAG).error(f"tts_priority priority_thread: {text}{e}")
def _audio_play_priority_thread(self):
while not self.stop_event.is_set():
text = None
try:
opus_datas, text = self.audio_play_queue.get()
future = asyncio.run_coroutine_threadsafe(sendAudioMessage(self, opus_datas, text), self.loop)
future.result()
except Exception as e:
self.logger.bind(tag=TAG).error(f"audio_play_priority priority_thread: {text}{e}")
def speak_and_play(self, text):
if text is None or len(text) <= 0:
self.logger.bind(tag=TAG).info(f"无需tts转换,query为空,{text}")
@@ -340,9 +359,3 @@ class ConnectionHandler:
self.client_have_voice_last_time = 0
self.client_voice_stop = False
self.logger.bind(tag=TAG).debug("VAD states reset.")
def stop_all_tasks(self):
while self.scheduled_tasks:
task = self.scheduled_tasks.popleft()
task.cancel()
self.scheduled_tasks.clear()