update:优化

This commit is contained in:
hrz
2025-05-24 12:11:13 +08:00
parent 8119897818
commit 920cf4f897
31 changed files with 748 additions and 1795 deletions
+116 -172
View File
@@ -14,7 +14,6 @@ import websockets
from typing import Dict, Any
from plugins_func.loadplugins import auto_import_modules
from config.logger import setup_logging
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType
from core.utils.dialogue import Message, Dialogue
from core.handle.textHandle import handleTextMessage
from core.utils.util import (
@@ -25,8 +24,7 @@ from core.utils.util import (
check_asr_update,
filter_sensitive_info,
)
from concurrent.futures import ThreadPoolExecutor, TimeoutError
from core.handle.sendAudioHandle import sendAudioMessage
from concurrent.futures import ThreadPoolExecutor
from core.handle.receiveAudioHandle import handleAudioMessage
from core.handle.functionHandler import FunctionHandler
from plugins_func.register import Action, ActionResponse
@@ -35,7 +33,7 @@ from core.mcp.manager import MCPManager
from config.config_loader import get_private_config_from_api
from config.manage_api_client import DeviceNotFoundException, DeviceBindException
from core.utils.output_counter import add_device_output
from core.handle.reportHandle import enqueue_tts_report, report
from core.handle.reportHandle import report
TAG = __name__
@@ -69,8 +67,6 @@ class ConnectionHandler:
self.bind_code = None
self.read_config_from_api = self.config.get("read_config_from_api", False)
self.tts_stream = self.config.get("TTS_SET", {}).get("TTS_STREAM", False)
self.websocket = None
self.headers = None
self.device_id = None
@@ -78,7 +74,6 @@ class ConnectionHandler:
self.client_ip_info = {}
self.prompt = None
self.welcome_msg = None
self.u_id = None
self.max_output_size = 0
self.chat_history_conf = 0
@@ -89,12 +84,7 @@ class ConnectionHandler:
# 线程任务相关
self.loop = asyncio.get_event_loop()
self.stop_event = threading.Event()
self.tts_queue = queue.Queue()
self.tts_queue_stream = queue.Queue()
self.audio_play_queue = queue.Queue()
max_workers = self.config.get("TTS_SET", {}).get("MAX_WORKERS", 10)
self.executor = ThreadPoolExecutor(max_workers=max_workers)
self.start_tts_request_flag = False
self.executor = ThreadPoolExecutor(max_workers=10)
# 上报线程
self.report_queue = queue.Queue()
@@ -106,10 +96,11 @@ class ConnectionHandler:
# 依赖的组件
self.vad = None
self.asr = None
self.tts = None
self._asr = _asr
self._vad = _vad
self._tts = _tts
self.llm = _llm
self.tts = _tts
self.memory = _memory
self.intent = _intent
@@ -131,7 +122,6 @@ class ConnectionHandler:
# tts相关变量
self.tts_first_text_index = -1
self.tts_last_text_index = -1
self.tts_duration = 0
# iot相关变量
self.iot_descriptors = {}
@@ -203,15 +193,6 @@ class ConnectionHandler:
# 异步初始化
self.executor.submit(self._initialize_components)
# 音频播放 消化线程
self.audio_play_priority_thread = threading.Thread(
target=self._audio_play_priority_thread, daemon=True
)
self.audio_play_priority_thread.start()
# 打开音频通道
await self.tts.open_audio_channels()
try:
async for message in self.websocket:
await self._route_message(message)
@@ -332,6 +313,9 @@ class ConnectionHandler:
self.vad = self._vad
if self.asr is None:
self.asr = self._asr
if self.tts is None:
self.tts = self._tts
self.tts.startSession(self)
"""加载记忆"""
self._initialize_memory()
"""加载意图识别"""
@@ -512,80 +496,20 @@ class ConnectionHandler:
# 更新系统prompt至上下文
self.dialogue.update_system_message(self.prompt)
def chat(self, query):
self.dialogue.put(Message(role="user", content=query))
response_message = []
try:
# 使用带记忆的对话
memory_str = None
if self.memory is not None:
future = asyncio.run_coroutine_threadsafe(
self.memory.query_memory(query), self.loop
)
memory_str = future.result()
self.logger.bind(tag=TAG).debug(f"记忆内容: {memory_str}")
llm_responses = self.llm.response(
self.session_id, self.dialogue.get_llm_dialogue_with_memory(memory_str)
)
except Exception as e:
self.logger.bind(tag=TAG).error(f"LLM 处理出错 {query}: {e}")
return None
self.llm_finish_task = False
text_index = 0
uuid_str = str(uuid.uuid4()).replace("-", "")
self.u_id = uuid_str
for content in llm_responses:
response_message.append(content)
if self.client_abort:
break
if text_index == 0:
self.tts.tts_text_queue.put(
TTSMessageDTO(
u_id=uuid_str, msg_type=MsgType.START_TTS_REQUEST, content=""
)
)
self.start_tts_request_flag = True
self.tts.tts_text_queue.put(
TTSMessageDTO(
u_id=uuid_str, msg_type=MsgType.TTS_TEXT_REQUEST, content=content
)
)
text_index += 1
if self.start_tts_request_flag:
self.start_tts_request_flag = False
self.tts.tts_text_queue.put(
TTSMessageDTO(
u_id=uuid_str, msg_type=MsgType.STOP_TTS_REQUEST, content=""
)
)
self.llm_finish_task = True
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 chat_with_function_calling(self, query, tool_call=False):
self.logger.bind(tag=TAG).debug(f"Chat with function calling start: {query}")
"""Chat with function calling for intent detection using streaming"""
def chat(self, query, tool_call=False):
self.logger.bind(tag=TAG).debug(f"Chat: {query}")
if not tool_call:
self.dialogue.put(Message(role="user", content=query))
# Define intent functions
functions = None
if hasattr(self, "func_handler"):
if self.intent_type == "function_call" and hasattr(self, "func_handler"):
functions = self.func_handler.get_functions()
response_message = []
processed_chars = 0 # 跟踪已处理的字符位置
try:
start_time = time.time()
# 使用带记忆的对话
memory_str = None
if self.memory is not None:
@@ -594,14 +518,18 @@ class ConnectionHandler:
)
memory_str = future.result()
# self.logger.bind(tag=TAG).info(f"对话记录: {self.dialogue.get_llm_dialogue_with_memory(memory_str)}")
# 使用支持functions的streaming接口
llm_responses = self.llm.response_with_functions(
self.session_id,
self.dialogue.get_llm_dialogue_with_memory(memory_str),
functions=functions,
)
if functions is not None:
# 使用支持functions的streaming接口
llm_responses = self.llm.response_with_functions(
self.session_id,
self.dialogue.get_llm_dialogue_with_memory(memory_str),
functions=functions,
)
else:
llm_responses = self.llm.response(
self.session_id,
self.dialogue.get_llm_dialogue_with_memory(memory_str),
)
except Exception as e:
self.logger.bind(tag=TAG).error(f"LLM 处理出错 {query}: {e}")
return None
@@ -615,30 +543,30 @@ class ConnectionHandler:
function_id = None
function_arguments = ""
content_arguments = ""
uuid_str = str(uuid.uuid4()).replace("-", "")
self.u_id = uuid_str
for response in llm_responses:
content, tools_call = response
if self.intent_type == "function_call":
content, tools_call = response
if "content" in response:
content = response["content"]
tools_call = None
if content is not None and len(content) > 0:
content_arguments += content
if "content" in response:
content = response["content"]
tools_call = None
if content is not None and len(content) > 0:
content_arguments += content
if not tool_call_flag and content_arguments.startswith("<tool_call>"):
# print("content_arguments", content_arguments)
tool_call_flag = True
if tools_call is not None:
tool_call_flag = True
if tools_call[0].id is not None:
function_id = tools_call[0].id
if tools_call[0].function.name is not None:
function_name = tools_call[0].function.name
if tools_call[0].function.arguments is not None:
function_arguments += tools_call[0].function.arguments
if not tool_call_flag and content_arguments.startswith("<tool_call>"):
# print("content_arguments", content_arguments)
tool_call_flag = True
if tools_call is not None:
tool_call_flag = True
if tools_call[0].id is not None:
function_id = tools_call[0].id
if tools_call[0].function.name is not None:
function_name = tools_call[0].function.name
if tools_call[0].function.arguments is not None:
function_arguments += tools_call[0].function.arguments
else:
content = response
if content is not None and len(content) > 0:
if not tool_call_flag:
response_message.append(content)
@@ -647,34 +575,41 @@ class ConnectionHandler:
break
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}")
self.logger.bind(tag=TAG).debug(
f"大模型返回时间: {end_time - start_time} 秒, 生成token={content}"
)
if text_index == 0:
self.tts.tts_text_queue.put(
TTSMessageDTO(
u_id=uuid_str,
msg_type=MsgType.START_TTS_REQUEST,
content="",
# 处理文本分段和TTS逻辑
# 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
number_flag = True
for punct in punctuations:
pos = current_text.rfind(punct)
prev_char = current_text[pos - 1] if pos - 1 >= 0 else ""
# 如果.前面是数字统一判断为小数
if prev_char.isdigit() and punct == ".":
number_flag = False
if pos > last_punct_pos and number_flag:
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:
text_index += 1
self.recode_first_last_text(segment_text, text_index)
future = self.executor.submit(
self.speak_and_play, None, segment_text, text_index
)
)
self.start_tts_request_flag = True
self.tts.tts_text_queue.put(
TTSMessageDTO(
u_id=uuid_str,
msg_type=MsgType.TTS_TEXT_REQUEST,
content=content,
)
)
text_index += 1
if self.start_tts_request_flag:
self.start_tts_request_flag = False
self.tts.tts_text_queue.put(
TTSMessageDTO(
u_id=uuid_str, msg_type=MsgType.STOP_TTS_REQUEST, content=""
)
)
self.tts.tts_queue.put((future, text_index))
# 更新已处理字符位置
processed_chars += len(segment_text_raw)
# 处理function call
if tool_call_flag:
@@ -720,6 +655,19 @@ class ConnectionHandler:
)
self._handle_function_result(result, function_call_data, text_index + 1)
# 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:
text_index += 1
self.recode_first_last_text(segment_text, text_index)
future = self.executor.submit(
self.speak_and_play, None, segment_text, text_index
)
self.tts.tts_queue.put((future, text_index))
# 存储对话内容
if len(response_message) > 0:
self.dialogue.put(
@@ -779,7 +727,8 @@ class ConnectionHandler:
if result.action == Action.RESPONSE: # 直接回复前端
text = result.response
self.recode_first_last_text(text, text_index)
self.tts.tts_one_sentence(self, text)
future = self.executor.submit(self.speak_and_play, None, text, text_index)
self.tts.tts_queue.put((future, text_index))
self.dialogue.put(Message(role="assistant", content=text))
elif result.action == Action.REQLLM: # 调用函数后再请求llm生成回复
text = result.result
@@ -813,35 +762,15 @@ class ConnectionHandler:
content=text,
)
)
self.chat_with_function_calling(text, tool_call=True)
self.chat(text, tool_call=True)
elif result.action == Action.NOTFOUND or result.action == Action.ERROR:
text = result.result
self.recode_first_last_text(text, text_index)
self.tts.tts_one_sentence(self, text)
self.dialogue.put(Message(role="assistant", content=text))
elif result.action == Action.NONE:
# 啥也不干
text = result.result
future = self.executor.submit(self.speak_and_play, None, text, text_index)
self.tts.tts_queue.put((future, text_index))
self.dialogue.put(Message(role="assistant", content=text))
else:
text = result.result
self.recode_first_last_text(text, text_index)
self.tts.tts_one_sentence(self, text)
self.dialogue.put(Message(role="assistant", content=text))
def _audio_play_priority_thread(self):
while not self.stop_event.is_set():
text = None
try:
ttsMessageDTO = self.tts.tts_audio_queue.get()
future = asyncio.run_coroutine_threadsafe(
sendAudioMessage(self, ttsMessageDTO), self.loop
)
future.result()
except Exception as e:
self.logger.bind(tag=TAG).error(
f"audio_play_priority priority_thread: {text} {e}"
)
pass
def _report_worker(self):
"""聊天记录上报工作线程"""
@@ -869,6 +798,22 @@ class ConnectionHandler:
self.logger.bind(tag=TAG).info("聊天记录上报线程已退出")
def speak_and_play(self, file_path, content, text_index=0):
if file_path is not None:
self.logger.bind(tag=TAG).info(f"无需tts转换: 从文件播放,{file_path}")
return file_path, content, text_index
if content is None or len(content) <= 0:
self.logger.bind(tag=TAG).info(f"无需tts转换,query为空,{content}")
return None, content, text_index
tts_file = self.tts.to_tts(content)
if tts_file is None:
self.logger.bind(tag=TAG).error(f"tts转换失败,{content}")
return None, content, text_index
self.logger.bind(tag=TAG).debug(f"TTS 文件生成完毕: {tts_file}")
if self.max_output_size > 0:
add_device_output(self.headers.get("device-id"), len(content))
return tts_file, content, text_index
def clearSpeakStatus(self):
self.logger.bind(tag=TAG).debug(f"清除服务端讲话状态")
self.asr_server_receive = True
@@ -905,7 +850,6 @@ class ConnectionHandler:
await ws.close()
elif self.websocket:
await self.websocket.close()
await self.tts.close()
# 最后关闭线程池(避免阻塞)
if self.executor:
@@ -917,11 +861,11 @@ class ConnectionHandler:
def clear_queues(self):
"""清空所有任务队列"""
self.logger.bind(tag=TAG).debug(
f"开始清理: TTS队列大小={self.tts_queue.qsize()}, 音频队列大小={self.audio_play_queue.qsize()}"
f"开始清理: TTS队列大小={self.tts.tts_queue.qsize()}, 音频队列大小={self.tts.audio_play_queue.qsize()}"
)
# 使用非阻塞方式清空队列
for q in [self.tts_queue, self.audio_play_queue]:
for q in [self.tts.tts_queue, self.tts.audio_play_queue]:
if not q:
continue
while True:
@@ -931,7 +875,7 @@ class ConnectionHandler:
break
self.logger.bind(tag=TAG).debug(
f"清理结束: TTS队列大小={self.tts_queue.qsize()}, 音频队列大小={self.audio_play_queue.qsize()}"
f"清理结束: TTS队列大小={self.tts.tts_queue.qsize()}, 音频队列大小={self.tts.audio_play_queue.qsize()}"
)
def reset_vad_states(self):
@@ -26,7 +26,8 @@ async def handleHelloMessage(conn, msg_json):
format = audio_params.get("format")
conn.logger.bind(tag=TAG).info(f"客户端音频格式: {format}")
conn.audio_format = format
conn.asr.set_audio_format(format)
if conn.asr is not None:
conn.asr.set_audio_format(format)
conn.welcome_msg["audio_params"] = audio_params
await conn.websocket.send(json.dumps(conn.welcome_msg))
@@ -55,7 +56,7 @@ async def checkWakeupWords(conn, text):
text_hello = WAKEUP_CONFIG["text"]
if not text_hello:
text_hello = text
conn.audio_play_queue.put((opus_packets, text_hello, 0))
conn.tts.audio_play_queue.put((opus_packets, text_hello, 0))
if time.time() - WAKEUP_CONFIG["create_time"] > WAKEUP_CONFIG["refresh_time"]:
asyncio.create_task(wakeupWordsResponse(conn))
return True
@@ -2,6 +2,7 @@ from config.logger import setup_logging
import json
import uuid
from core.handle.sendAudioHandle import send_stt_message
from core.handle.helloHandle import checkWakeupWords
from core.utils.util import remove_punctuation_and_length
from core.utils.dialogue import Message
from plugins_func.register import Action
@@ -15,10 +16,9 @@ async def handle_user_intent(conn, text):
filtered_text = remove_punctuation_and_length(text)[1]
if await check_direct_exit(conn, filtered_text):
return True
# 4月4日因流式改造暂时关闭唤醒词加速功能
# 检查是否是唤醒词
# if await checkWakeupWords(conn, filtered_text):
# return True
if await checkWakeupWords(conn, filtered_text):
return True
if conn.intent_type == "function_call":
# 使用支持function calling的聊天方法,不再进行意图分析
@@ -109,21 +109,21 @@ async def process_intent_result(conn, intent_result, original_text):
if result.action == Action.RESPONSE: # 直接回复前端
text = result.response
if text is not None:
speak_and_play(conn, text)
speak_txt(conn, text)
elif result.action == Action.REQLLM: # 调用函数后再请求llm生成回复
text = result.result
conn.dialogue.put(Message(role="tool", content=text))
llm_result = conn.intent.replyResult(text, original_text)
if llm_result is None:
llm_result = text
speak_and_play(conn, llm_result)
speak_txt(conn, llm_result)
elif (
result.action == Action.NOTFOUND
or result.action == Action.ERROR
):
text = result.result
if text is not None:
speak_and_play(conn, text)
speak_txt(conn, text)
elif function_name != "play_music":
# For backward compatibility with original code
# 获取当前最新的文本索引
@@ -131,7 +131,7 @@ async def process_intent_result(conn, intent_result, original_text):
if text is None:
text = result.result
if text is not None:
speak_and_play(conn, text)
speak_txt(conn, text)
# 将函数执行放在线程池中
conn.executor.submit(process_function_call)
@@ -142,6 +142,12 @@ async def process_intent_result(conn, intent_result, original_text):
return False
def speak_and_play(conn, text):
conn.tts.tts_one_sentence(conn, text)
def speak_txt(conn, text):
text_index = (
conn.tts_last_text_index + 1 if hasattr(conn, "tts_last_text_index") else 0
)
conn.recode_first_last_text(text, text_index)
future = conn.executor.submit(conn.speak_and_play, None, text, text_index)
conn.llm_finish_task = True
conn.tts_queue.put((future, text_index))
conn.dialogue.put(Message(role="assistant", content=text))
@@ -39,7 +39,9 @@ async def handleAudioMessage(conn, audio):
if len(conn.asr_audio) < 15:
conn.asr_server_receive = True
else:
raw_text, _ = await conn.asr.speech_to_text(conn.asr_audio, conn.session_id) # 确保ASR模块返回原始文本
raw_text, _ = await conn.asr.speech_to_text(
conn.asr_audio, conn.session_id
) # 确保ASR模块返回原始文本
conn.logger.bind(tag=TAG).info(f"识别文本: {raw_text}")
text_len, _ = remove_punctuation_and_length(raw_text)
if text_len > 0:
@@ -76,11 +78,7 @@ async def startToChat(conn, text):
# 意图未被处理,继续常规聊天流程
await send_stt_message(conn, text)
if conn.intent_type == "function_call":
# 使用支持function calling的聊天方法
conn.executor.submit(conn.chat_with_function_calling, text)
else:
conn.executor.submit(conn.chat, text)
conn.executor.submit(conn.chat, text)
async def no_voice_close_connect(conn):
@@ -117,7 +115,7 @@ async def max_out_size(conn):
conn.llm_finish_task = True
file_path = "config/assets/max_output_size.wav"
opus_packets, _ = audio_to_data(file_path)
conn.audio_play_queue.put((opus_packets, text, 0))
conn.tts.audio_play_queue.put((opus_packets, text, 0))
conn.close_after_chat = True
@@ -139,7 +137,7 @@ async def check_bind_device(conn):
# 播放提示音
music_path = "config/assets/bind_code.wav"
opus_packets, _ = audio_to_data(music_path)
conn.audio_play_queue.put((opus_packets, text, 0))
conn.tts.audio_play_queue.put((opus_packets, text, 0))
# 逐个播放数字
for i in range(6): # 确保只播放6位数字
@@ -147,7 +145,7 @@ async def check_bind_device(conn):
digit = conn.bind_code[i]
num_path = f"config/assets/bind_code/{digit}.wav"
num_packets, _ = audio_to_data(num_path)
conn.audio_play_queue.put((num_packets, None, i + 1))
conn.tts.audio_play_queue.put((num_packets, None, i + 1))
except Exception as e:
conn.logger.bind(tag=TAG).error(f"播放数字音频失败: {e}")
continue
@@ -159,4 +157,4 @@ async def check_bind_device(conn):
conn.llm_finish_task = True
music_path = "config/assets/bind_not_found.wav"
opus_packets, _ = audio_to_data(music_path)
conn.audio_play_queue.put((opus_packets, text, 0))
conn.tts.audio_play_queue.put((opus_packets, text, 0))
@@ -1,70 +1,104 @@
import traceback
from config.logger import setup_logging
import json
import asyncio
import time
from core.providers.tts.dto.dto import TTSMessageDTO, SentenceType, MsgType
from core.utils.util import (
remove_punctuation_and_length,
get_string_no_punctuation_or_emoji,
)
from core.utils.util import get_string_no_punctuation_or_emoji, analyze_emotion
TAG = __name__
logger = setup_logging()
emoji_map = {
"neutral": "😶",
"happy": "🙂",
"laughing": "😆",
"funny": "😂",
"sad": "😔",
"angry": "😠",
"crying": "😭",
"loving": "😍",
"embarrassed": "😳",
"surprised": "😲",
"shocked": "😱",
"thinking": "🤔",
"winking": "😉",
"cool": "😎",
"relaxed": "😌",
"delicious": "🤤",
"kissy": "😘",
"confident": "😏",
"sleepy": "😴",
"silly": "😜",
"confused": "🙄",
}
async def sendAudioMessage(conn, ttsMessageDTO: TTSMessageDTO):
if ttsMessageDTO.u_id != conn.u_id:
logger.bind(tag=TAG).info(
f"msg id:{ttsMessageDTO.u_id},不是当前对话,当前对话id{conn.u_id}"
)
return
async def sendAudioMessage(conn, audios, text, text_index=0):
# 发送句子开始消息
if SentenceType.SENTENCE_START == ttsMessageDTO.sentence_type:
logger.bind(tag=TAG).info(f"发送第一段语音: {ttsMessageDTO.tts_finish_text}")
await send_tts_message(conn, "sentence_start", ttsMessageDTO.tts_finish_text)
if text is not None:
emotion = analyze_emotion(text)
emoji = emoji_map.get(emotion, "🙂") # 默认使用笑脸
await conn.websocket.send(
json.dumps(
{
"type": "llm",
"text": emoji,
"emotion": emotion,
"session_id": conn.session_id,
}
)
)
if text_index == conn.tts_first_text_index:
conn.logger.bind(tag=TAG).info(f"发送第一段语音: {text}")
await send_tts_message(conn, "sentence_start", text)
is_first_audio = text_index == conn.tts_first_text_index
await sendAudio(conn, audios, pre_buffer=is_first_audio)
await send_tts_message(conn, "sentence_end", text)
# 发送结束消息(如果是最后一个文本)
if conn.llm_finish_task and text_index == conn.tts_last_text_index:
await send_tts_message(conn, "stop", None)
if conn.close_after_chat:
await conn.close()
# 播放音频
async def sendAudio(conn, audios, pre_buffer=True):
# 流控参数优化
original_frame_duration = 60 # 原始帧时长(毫秒)
adjusted_frame_duration = int(original_frame_duration * 1) # 缩短20%
total_frames = len(ttsMessageDTO.content) # 获取总帧数
compensation = (
total_frames * (original_frame_duration - adjusted_frame_duration) / 1000
) # 补偿时间(秒)
frame_duration = 60 # 帧时长(毫秒),匹配 Opus 编码
start_time = time.perf_counter()
play_position = 0 # 已播放时长(毫秒)
play_position = 0
last_reset_time = time.perf_counter() # 记录最后的重置时间
for opus_packet in ttsMessageDTO.content:
# 仅当第一句话时执行预缓冲
if pre_buffer:
pre_buffer_frames = min(3, len(audios))
for i in range(pre_buffer_frames):
await conn.websocket.send(audios[i])
remaining_audios = audios[pre_buffer_frames:]
else:
remaining_audios = audios
# 播放剩余音频帧
for opus_packet in remaining_audios:
if conn.client_abort:
return
# 计算带加速因子的预期时间
# 每分钟重置一次计时器
if time.perf_counter() - last_reset_time > 60:
await conn.reset_timeout()
last_reset_time = time.perf_counter()
# 计算预期发送时间
expected_time = start_time + (play_position / 1000)
current_time = time.perf_counter()
# 流控等待(使用加速后的帧时长)
delay = expected_time - current_time
if delay > 0:
await asyncio.sleep(delay)
await conn.websocket.send(opus_packet)
play_position += adjusted_frame_duration # 使用调整后的帧时长
# 补偿因加速损失的时长
# if compensation > 0:
# await asyncio.sleep(compensation)
if SentenceType.SENTENCE_END == ttsMessageDTO.sentence_type:
logger.bind(tag=TAG).info(f"发送最后一段语音: {ttsMessageDTO.tts_finish_text}")
await send_tts_message(conn, "sentence_end", ttsMessageDTO.tts_finish_text)
# 发送结束消息(如果是最后一个文本)
if conn.llm_finish_task and MsgType.STOP_TTS_RESPONSE == ttsMessageDTO.msg_type:
await send_tts_message(conn, "stop", None)
if conn.close_after_chat:
await conn.close()
play_position += frame_duration
async def send_tts_message(conn, state, text=None):
@@ -73,10 +107,22 @@ async def send_tts_message(conn, state, text=None):
if text is not None:
message["text"] = text
await conn.websocket.send(json.dumps(message))
# TTS播放结束
if state == "stop":
# 播放提示音
tts_notify = conn.config.get("enable_stop_tts_notify", False)
if tts_notify:
stop_tts_notify_voice = conn.config.get(
"stop_tts_notify_voice", "config/assets/tts_notify.mp3"
)
audios, _ = conn.tts.audio_to_opus_data(stop_tts_notify_voice)
await sendAudio(conn, audios)
# 清除服务端讲话状态
conn.clearSpeakStatus()
# 发送消息到客户端
await conn.websocket.send(json.dumps(message))
async def send_stt_message(conn, text):
"""发送 STT 状态消息"""
@@ -84,14 +130,4 @@ async def send_stt_message(conn, text):
await conn.websocket.send(
json.dumps({"type": "stt", "text": stt_text, "session_id": conn.session_id})
)
await conn.websocket.send(
json.dumps(
{
"type": "llm",
"text": "😊",
"emotion": "happy",
"session_id": conn.session_id,
}
)
)
await send_tts_message(conn, "start")
@@ -1,137 +0,0 @@
"""
Opus编码工具类
将PCM音频数据编码为Opus格式
"""
import array
import logging
import traceback
import numpy as np
from typing import List, Optional
from opuslib_next import Encoder
from opuslib_next import constants
class OpusEncoderUtils:
"""PCM到Opus的编码器"""
def __init__(self, sample_rate: int, channels: int, frame_size_ms: int):
"""
初始化Opus编码器
Args:
sample_rate: 采样率 (Hz)
channels: 通道数 (1=单声道, 2=立体声)
frame_size_ms: 帧大小 (毫秒)
"""
self.sample_rate = sample_rate
self.channels = channels
self.frame_size_ms = frame_size_ms
# 计算每帧样本数 = 采样率 * 帧大小(毫秒) / 1000
self.frame_size = (sample_rate * frame_size_ms) // 1000
# 总帧大小 = 每帧样本数 * 通道数
self.total_frame_size = self.frame_size * channels
# 比特率和复杂度设置
self.bitrate = 24000 # bps
self.complexity = 10 # 最高质量
# 缓冲区初始化为空
self.buffer = np.array([], dtype=np.int16)
try:
# 创建Opus编码器
self.encoder = Encoder(
sample_rate, channels, constants.APPLICATION_AUDIO # 音频优化模式
)
self.encoder.bitrate = self.bitrate
self.encoder.complexity = self.complexity
self.encoder.signal = constants.SIGNAL_VOICE # 语音信号优化
except Exception as e:
logging.error(f"初始化Opus编码器失败: {e}")
raise RuntimeError("初始化失败") from e
def reset_state(self):
"""重置编码器状态"""
self.encoder.reset_state()
self.buffer = np.array([], dtype=np.int16)
def encode_pcm_to_opus(self, pcm_data: bytes, end_of_stream: bool) -> List[bytes]:
"""
将PCM数据编码为Opus格式
Args:
pcm_data: PCM字节数据
end_of_stream: 是否为流的结束
Returns:
Opus数据包列表
"""
# 将字节数据转换为short数组
new_samples = self._convert_bytes_to_shorts(pcm_data)
# 校验PCM数据
self._validate_pcm_data(new_samples)
# 将新数据追加到缓冲区
self.buffer = np.append(self.buffer, new_samples)
opus_packets = []
offset = 0
# 处理所有完整帧
while offset <= len(self.buffer) - self.total_frame_size:
frame = self.buffer[offset : offset + self.total_frame_size]
output = self._encode(frame)
if output:
opus_packets.append(output)
offset += self.total_frame_size
# 保留未处理的样本
self.buffer = self.buffer[offset:]
# 流结束时处理剩余数据
if end_of_stream and len(self.buffer) > 0:
# 创建最后一帧并用0填充
last_frame = np.zeros(self.total_frame_size, dtype=np.int16)
last_frame[: len(self.buffer)] = self.buffer
output = self._encode(last_frame)
if output:
opus_packets.append(output)
self.buffer = np.array([], dtype=np.int16)
return opus_packets
def _encode(self, frame: np.ndarray) -> Optional[bytes]:
"""编码一帧音频数据"""
try:
# 将numpy数组转换为bytes
frame_bytes = frame.tobytes()
# opuslib要求输入字节数必须是channels*2的倍数
encoded = self.encoder.encode(frame_bytes, self.frame_size)
return encoded
except Exception as e:
logging.error(f"Opus编码失败: {e}")
traceback.print_exc()
return None
def _convert_bytes_to_shorts(self, bytes_data: bytes) -> np.ndarray:
"""将字节数组转换为short数组 (16位PCM)"""
# 假设输入是小端字节序的16位PCM
return np.frombuffer(bytes_data, dtype=np.int16)
def _validate_pcm_data(self, pcm_shorts: np.ndarray) -> None:
"""验证PCM数据是否有效"""
# 16位PCM数据范围是 -32768 到 32767
if np.any((pcm_shorts < -32768) | (pcm_shorts > 32767)):
invalid_samples = pcm_shorts[(pcm_shorts < -32768) | (pcm_shorts > 32767)]
logging.warning(f"发现无效PCM样本: {invalid_samples[:5]}...")
# 在实际应用中可以选择裁剪而不是抛出异常
# np.clip(pcm_shorts, -32768, 32767, out=pcm_shorts)
def close(self):
"""关闭编码器并释放资源"""
# opuslib没有明确的关闭方法,Python的垃圾回收会处理
pass
@@ -239,7 +239,7 @@ class ASRProvider(ASRProviderBase):
) -> Tuple[Optional[str], Optional[str]]:
"""将语音数据转换为文本"""
if self._is_token_expired():
logger.bind(tag=TAG).warning("Token已过期,正在自动刷新...")
logger.warning("Token已过期,正在自动刷新...")
self._refresh_token()
file_path = None
+20 -10
View File
@@ -30,15 +30,25 @@ class ASRProviderBase(ABC):
@staticmethod
def decode_opus(opus_data: List[bytes]) -> bytes:
"""将Opus音频数据解码为PCM数据"""
try:
decoder = opuslib_next.Decoder(16000, 1) # 16kHz, 单声道
pcm_data = []
buffer_size = 960 # 每次处理960个采样点
decoder = opuslib_next.Decoder(16000, 1) # 16kHz, 单声道
pcm_data = []
for opus_packet in opus_data:
try:
# 使用较小的缓冲区大小进行处理
pcm_frame = decoder.decode(opus_packet, buffer_size)
if pcm_frame:
pcm_data.append(pcm_frame)
except opuslib_next.OpusError as e:
logger.bind(tag=TAG).warning(f"Opus解码错误,跳过当前数据包: {e}")
continue
except Exception as e:
logger.bind(tag=TAG).error(f"音频处理错误: {e}", exc_info=True)
continue
for opus_packet in opus_data:
try:
pcm_frame = decoder.decode(opus_packet, 960) # 960 samples = 60ms
pcm_data.append(pcm_frame)
except opuslib_next.OpusError as e:
logger.bind(tag=TAG).error(f"Opus解码错误: {e}", exc_info=True)
return pcm_data
return pcm_data
except Exception as e:
logger.bind(tag=TAG).error(f"音频解码过程发生错误: {e}", exc_info=True)
return []
@@ -9,10 +9,14 @@ import uuid
from core.providers.asr.base import ASRProviderBase
from funasr import AutoModel
from funasr.utils.postprocess_utils import rich_transcription_postprocess
import shutil
TAG = __name__
logger = setup_logging()
MAX_RETRIES = 2
RETRY_DELAY = 1 # 重试延迟(秒)
# 捕获标准输出
class CaptureOutput:
@@ -68,46 +72,69 @@ class ASRProvider(ASRProviderBase):
) -> Tuple[Optional[str], Optional[str]]:
"""语音转文本主处理逻辑"""
file_path = None
try:
# 合并所有opus数据包
if self.audio_format == "pcm":
pcm_data = opus_data
else:
pcm_data = self.decode_opus(opus_data)
retry_count = 0
combined_pcm_data = b"".join(pcm_data)
while retry_count < MAX_RETRIES:
try:
# 合并所有opus数据包
if self.audio_format == "pcm":
pcm_data = opus_data
else:
pcm_data = self.decode_opus(opus_data)
# 判断是否保存为WAV文件
if self.delete_audio_file:
pass
else:
file_path = self.save_audio_to_file(pcm_data, session_id)
combined_pcm_data = b"".join(pcm_data)
# 语音识别
start_time = time.time()
result = self.model.generate(
input=combined_pcm_data,
cache={},
language="auto",
use_itn=True,
batch_size_s=60,
)
text = rich_transcription_postprocess(result[0]["text"])
logger.bind(tag=TAG).debug(
f"语音识别耗时: {time.time() - start_time:.3f}s | 结果: {text}"
)
# 检查磁盘空间
if not self.delete_audio_file:
free_space = shutil.disk_usage(self.output_dir).free
if free_space < len(combined_pcm_data) * 2: # 预留2倍空间
raise OSError("磁盘空间不足")
return text, file_path
# 判断是否保存为WAV文件
if self.delete_audio_file:
pass
else:
file_path = self.save_audio_to_file(pcm_data, session_id)
except Exception as e:
logger.bind(tag=TAG).error(f"语音识别失败: {e}", exc_info=True)
return "", file_path
# 语音识别
start_time = time.time()
result = self.model.generate(
input=combined_pcm_data,
cache={},
language="auto",
use_itn=True,
batch_size_s=60,
)
text = rich_transcription_postprocess(result[0]["text"])
logger.bind(tag=TAG).debug(
f"语音识别耗时: {time.time() - start_time:.3f}s | 结果: {text}"
)
# finally:
# # 文件清理逻辑
# if self.delete_audio_file and file_path and os.path.exists(file_path):
# try:
# os.remove(file_path)
# logger.bind(tag=TAG).debug(f"已删除临时音频文件: {file_path}")
# except Exception as e:
# logger.bind(tag=TAG).error(f"文件删除失败: {file_path} | 错误: {e}")
return text, file_path
except OSError as e:
retry_count += 1
if retry_count >= MAX_RETRIES:
logger.bind(tag=TAG).error(
f"语音识别失败(已重试{retry_count}次): {e}", exc_info=True
)
return "", file_path
logger.bind(tag=TAG).warning(
f"语音识别失败,正在重试({retry_count}/{MAX_RETRIES}: {e}"
)
time.sleep(RETRY_DELAY)
except Exception as e:
logger.bind(tag=TAG).error(f"语音识别失败: {e}", exc_info=True)
return "", file_path
finally:
# 文件清理逻辑
if self.delete_audio_file and file_path and os.path.exists(file_path):
try:
os.remove(file_path)
logger.bind(tag=TAG).debug(f"已删除临时音频文件: {file_path}")
except Exception as e:
logger.bind(tag=TAG).error(
f"文件删除失败: {file_path} | 错误: {e}"
)
@@ -72,6 +72,10 @@ class IntentProvider(IntentProviderBase):
'返回: {"function_call": {"name": "get_time"}}\n'
"```\n"
"```\n"
"用户: 当前电池电量是多少?\n"
'返回: {"function_call": {"name": "get_battery_level", "arguments": {"response_success": "当前电池电量为{value}%", "response_failure": "无法获取Battery的当前电量百分比"}}}\n'
"```\n"
"```\n"
"用户: 我想结束对话\n"
'返回: {"function_call": {"name": "handle_exit_intent", "arguments": {"say_goodbye": "goodbye"}}}\n'
"```\n"
@@ -224,7 +228,8 @@ class IntentProvider(IntentProviderBase):
if function_name == "continue_chat":
# 保留非工具相关的消息
clean_history = [
msg for msg in conn.dialogue.dialogue
msg
for msg in conn.dialogue.dialogue
if msg.role not in ["tool", "function"]
]
conn.dialogue.dialogue = clean_history
@@ -8,81 +8,61 @@ import requests
from datetime import datetime
from core.providers.tts.base import TTSProviderBase
from pydub import AudioSegment
import http.client
import urllib.parse
import time
import uuid
from urllib import parse
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
from config.logger import setup_logging
TAG = __name__
logger = setup_logging()
class AccessToken:
@staticmethod
def _encode_text(text):
encoded_text = parse.quote_plus(text)
return encoded_text.replace("+", "%20").replace("*", "%2A").replace("%7E", "~")
return encoded_text.replace('+', '%20').replace('*', '%2A').replace('%7E', '~')
@staticmethod
def _encode_dict(dic):
keys = dic.keys()
dic_sorted = [(key, dic[key]) for key in sorted(keys)]
encoded_text = parse.urlencode(dic_sorted)
return encoded_text.replace("+", "%20").replace("*", "%2A").replace("%7E", "~")
return encoded_text.replace('+', '%20').replace('*', '%2A').replace('%7E', '~')
@staticmethod
def create_token(access_key_id, access_key_secret):
parameters = {
"AccessKeyId": access_key_id,
"Action": "CreateToken",
"Format": "JSON",
"RegionId": "cn-shanghai",
"SignatureMethod": "HMAC-SHA1",
"SignatureNonce": str(uuid.uuid1()),
"SignatureVersion": "1.0",
"Timestamp": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
"Version": "2019-02-28",
}
parameters = {'AccessKeyId': access_key_id,
'Action': 'CreateToken',
'Format': 'JSON',
'RegionId': 'cn-shanghai',
'SignatureMethod': 'HMAC-SHA1',
'SignatureNonce': str(uuid.uuid1()),
'SignatureVersion': '1.0',
'Timestamp': time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()),
'Version': '2019-02-28'}
# 构造规范化的请求字符串
query_string = AccessToken._encode_dict(parameters)
# print('规范化的请求字符串: %s' % query_string)
# 构造待签名字符串
string_to_sign = (
"GET"
+ "&"
+ AccessToken._encode_text("/")
+ "&"
+ AccessToken._encode_text(query_string)
)
string_to_sign = 'GET' + '&' + AccessToken._encode_text('/') + '&' + AccessToken._encode_text(query_string)
# print('待签名的字符串: %s' % string_to_sign)
# 计算签名
secreted_string = hmac.new(
bytes(access_key_secret + "&", encoding="utf-8"),
bytes(string_to_sign, encoding="utf-8"),
hashlib.sha1,
).digest()
secreted_string = hmac.new(bytes(access_key_secret + '&', encoding='utf-8'),
bytes(string_to_sign, encoding='utf-8'),
hashlib.sha1).digest()
signature = base64.b64encode(secreted_string)
# print('签名: %s' % signature)
# 进行URL编码
signature = AccessToken._encode_text(signature)
# print('URL编码后的签名: %s' % signature)
# 调用服务
full_url = "http://nls-meta.cn-shanghai.aliyuncs.com/?Signature=%s&%s" % (
signature,
query_string,
)
full_url = 'http://nls-meta.cn-shanghai.aliyuncs.com/?Signature=%s&%s' % (signature, query_string)
# print('url: %s' % full_url)
# 提交HTTP GET请求
response = requests.get(full_url)
if response.ok:
root_obj = response.json()
key = "Token"
key = 'Token'
if key in root_obj:
token = root_obj[key]["Id"]
expire_time = root_obj[key]["ExpireTime"]
token = root_obj[key]['Id']
expire_time = root_obj[key]['ExpireTime']
return token, expire_time
# print(response.text)
return None, None
@@ -90,9 +70,10 @@ class AccessToken:
class TTSProvider(TTSProviderBase):
def __init__(self, config, delete_audio_file):
super().__init__(config, delete_audio_file)
# 新增空值判断逻辑
self.access_key_id = config.get("access_key_id")
self.access_key_secret = config.get("access_key_secret")
@@ -106,7 +87,9 @@ class TTSProvider(TTSProviderBase):
self.pitch_rate = config.get("pitch_rate", 0)
self.host = config.get("host", "nls-gateway-cn-shanghai.aliyuncs.com")
self.api_url = f"https://{self.host}/stream/v1/tts"
self.header = {"Content-Type": "application/json"}
self.header = {
"Content-Type": "application/json"
}
if self.access_key_id and self.access_key_secret:
# 使用密钥对生成临时token
@@ -116,30 +99,35 @@ class TTSProvider(TTSProviderBase):
self.token = config.get("token")
self.expire_time = None
def _refresh_token(self):
"""刷新Token并记录过期时间"""
if self.access_key_id and self.access_key_secret:
self.token, expire_time_str = AccessToken.create_token(
self.access_key_id, self.access_key_secret
self.access_key_id,
self.access_key_secret
)
if not expire_time_str:
raise ValueError("无法获取有效的Token过期时间")
try:
# 统一转换为字符串处理
#统一转换为字符串处理
expire_str = str(expire_time_str).strip()
if expire_str.isdigit():
expire_time = datetime.fromtimestamp(int(expire_str))
else:
expire_time = datetime.strptime(expire_str, "%Y-%m-%dT%H:%M:%SZ")
expire_time = datetime.strptime(
expire_str,
"%Y-%m-%dT%H:%M:%SZ"
)
self.expire_time = expire_time.timestamp() - 60
except Exception as e:
raise ValueError(f"无效的过期时间格式: {expire_str}") from e
else:
self.expire_time = None
if not self.token:
raise ValueError("无法获取有效的访问Token")
@@ -154,16 +142,12 @@ class TTSProvider(TTSProviderBase):
# f"过期时间 {datetime.fromtimestamp(self.expire_time)} | "
# f"剩余 {remaining:.2f}秒")
return time.time() > self.expire_time
def generate_filename(self, extension=".wav"):
return os.path.join(
self.output_file,
f"tts-{__name__}{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
return os.path.join(self.output_file, f"tts-{__name__}{datetime.now().date()}@{uuid.uuid4().hex}{extension}")
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
async def text_to_speak(self, text, output_file):
if self._is_token_expired():
logger.bind(tag=TAG).warning("Token已过期,正在自动刷新...")
logger.warning("Token已过期,正在自动刷新...")
self._refresh_token()
request_json = {
"appkey": self.appkey,
@@ -174,45 +158,21 @@ class TTSProvider(TTSProviderBase):
"voice": self.voice,
"volume": self.volume,
"speech_rate": self.speech_rate,
"pitch_rate": self.pitch_rate,
"pitch_rate": self.pitch_rate
}
print(self.api_url, json.dumps(request_json, ensure_ascii=False))
# print(self.api_url, json.dumps(request_json, ensure_ascii=False))
try:
resp = requests.post(
self.api_url, json.dumps(request_json), headers=self.header
)
resp = requests.post(self.api_url, json.dumps(request_json), headers=self.header)
if resp.status_code == 401: # Token过期特殊处理
self._refresh_token()
resp = requests.post(
self.api_url, json.dumps(request_json), headers=self.header
)
resp = requests.post(self.api_url, json.dumps(request_json), headers=self.header)
# 检查返回请求数据的mime类型是否是audio/***,是则保存到指定路径下;返回的是binary格式的
tmp_file = self.generate_filename()
if resp.headers["Content-Type"].startswith("audio/"):
with open(tmp_file, "wb") as f:
if resp.headers['Content-Type'].startswith('audio/'):
with open(output_file, 'wb') as f:
f.write(resp.content)
return output_file
else:
raise Exception(
f"{__name__} status_code: {resp.status_code} response: {resp.content}"
)
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format="wav")
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
pass
raise Exception(f"{__name__} status_code: {resp.status_code} response: {resp.content}")
except Exception as e:
raise Exception(f"{__name__} error: {e}")
+151 -289
View File
@@ -1,24 +1,15 @@
import asyncio
import gc
import io
import threading
import traceback
import uuid
from concurrent.futures import ThreadPoolExecutor
import torch
import torchaudio
from config.logger import setup_logging
import numpy as np
from pydub import AudioSegment
from abc import ABC, abstractmethod
from core.utils import textUtils
from core.utils.util import audio_to_data
from core.opus import opus_encoder_utils
import queue
from core.providers.tts.dto.dto import MsgType, TTSMessageDTO, SentenceType
import os
import json
import threading
from core.utils import p3
from core.handle.sendAudioHandle import sendAudioMessage
from core.handle.reportHandle import enqueue_tts_report
from abc import ABC, abstractmethod
from core.utils.tts import MarkdownCleaner
from core.utils.util import audio_to_data
TAG = __name__
logger = setup_logging()
@@ -26,273 +17,51 @@ logger = setup_logging()
class TTSProviderBase(ABC):
def __init__(self, config, delete_audio_file):
self.config = config
self.conn = None
self.tts_timeout = 10
self.delete_audio_file = delete_audio_file
self.output_file = config.get("output_dir")
self.tts_text_queue = queue.Queue()
self.tts_audio_queue = queue.Queue()
self.enable_two_way = False
self.stop_event = threading.Event()
self.opus_encoder = opus_encoder_utils.OpusEncoderUtils(
sample_rate=16000, channels=1, frame_size_ms=60
)
self.tts_text_buff = []
self.punctuations = (
"",
"",
"",
"",
"",
".",
"?",
"!",
";",
":",
" ",
",",
"",
)
self.tts_request = False
self.tts_stop_request = False
self.processed_chars = 0
self.stream = False
self.last_to_opus_raw = b""
# 启动tts_text_queue监听线程
# 线程任务相关
self.loop = asyncio.get_event_loop()
self.process_tasks_loop = asyncio.get_event_loop()
self.max_workers = self.config.get("TTS_SET", {}).get("MAX_WORKERS", 3)
self.active_tasks = set() # 追踪当前运行的任务
self.executor = ThreadPoolExecutor(max_workers=self.max_workers)
async def open_audio_channels(self):
# 启动tts_text_queue监听线程
tts_priority = threading.Thread(
target=self._tts_text_priority_thread, daemon=True
)
tts_priority.start()
async def close(self):
self.stop_event
def _get_segment_text(self):
# 合并当前全部文本并处理未分割部分
full_text = "".join(self.tts_text_buff)
current_text = full_text[self.processed_chars :] # 从未处理的位置开始
last_punct_pos = -1
for punct in self.punctuations:
pos = current_text.rfind(punct)
if (pos != -1 and last_punct_pos == -1) or (
pos != -1 and pos < last_punct_pos
):
last_punct_pos = pos
if last_punct_pos != -1:
segment_text_raw = current_text[: last_punct_pos + 1]
segment_text = textUtils.get_string_no_punctuation_or_emoji(
segment_text_raw
)
self.processed_chars += len(segment_text_raw) # 更新已处理字符位置
return segment_text
elif self.tts_stop_request and current_text:
segment_text = current_text
return segment_text
else:
return None
async def process_generator(self, generator):
async for tts_data in generator:
self.tts_audio_queue.put(tts_data)
def _tts_text_priority_thread(self):
logger.bind(tag=TAG).info("开始监听tts文本")
if self.enable_two_way:
self._enable_two_way_tts()
else:
self._no_enable_two_way_tts()
async def start_session(self, session_id):
pass
async def finish_session(self, session_id):
pass
def tts_one_sentence(self, conn, text, u_id=None):
if not u_id:
if conn.u_id:
u_id = conn.u_id
else:
u_id = str(uuid.uuid4()).replace("-", "")
conn.u_id = u_id
self.tts_text_queue.put(
TTSMessageDTO(u_id=u_id, msg_type=MsgType.START_TTS_REQUEST, content="")
)
self.tts_text_queue.put(
TTSMessageDTO(u_id=u_id, msg_type=MsgType.TTS_TEXT_REQUEST, content=text)
)
self.tts_text_queue.put(
TTSMessageDTO(u_id=u_id, msg_type=MsgType.STOP_TTS_REQUEST, content="")
)
def _enable_two_way_tts(self):
while not self.stop_event.is_set():
try:
ttsMessageDTO = self.tts_text_queue.get()
msg_type = ttsMessageDTO.msg_type
if msg_type == MsgType.START_TTS_REQUEST:
# 开始传输tts文本
self.tts_request = True
self.tts_stop_request = False
self.u_id = ttsMessageDTO.u_id
# 开启session
future = asyncio.run_coroutine_threadsafe(
self.start_session(ttsMessageDTO.u_id), loop=self.loop
)
future.result()
# await self.start_session(ttsMessageDTO.u_id)
elif self.tts_request and msg_type == MsgType.TTS_TEXT_REQUEST:
future = asyncio.run_coroutine_threadsafe(
self.text_to_speak(
u_id=ttsMessageDTO.u_id, text=ttsMessageDTO.content
),
loop=self.loop,
)
future.result()
elif msg_type == MsgType.STOP_TTS_REQUEST:
self.tts_request = False
self.tts_stop_request = True
future = asyncio.run_coroutine_threadsafe(
self.finish_session(ttsMessageDTO.u_id), loop=self.loop
)
future.result()
except Exception as e:
logger.bind(tag=TAG).error(f"Failed to process TTS text: {e}")
# 报错了。要关闭说话
self.tts_audio_queue.put(
TTSMessageDTO(
u_id=self.u_id,
msg_type=MsgType.STOP_TTS_RESPONSE,
content=[],
tts_finish_text="",
sentence_type=None,
)
)
traceback.print_exc()
def _no_enable_two_way_tts(self):
# 为这个线程创建一个新的事件循环
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
while not self.stop_event.is_set():
try:
ttsMessageDTO = self.tts_text_queue.get()
msg_type = ttsMessageDTO.msg_type
if not self.enable_two_way:
if msg_type == MsgType.START_TTS_REQUEST:
# 开始传输tts文本
self.tts_request = True
self.tts_stop_request = False
self.processed_chars = 0
self.tts_text_buff = []
elif self.tts_request and msg_type == MsgType.TTS_TEXT_REQUEST:
self.tts_text_buff.append(ttsMessageDTO.content)
elif msg_type == MsgType.STOP_TTS_REQUEST:
# 结束传输tts文本,处理最尾巴的数据
self.tts_request = False
self.tts_stop_request = True
segment_text = self._get_segment_text()
if segment_text:
# 修改部分:创建协程对象
# 修改部分:创建协程对象
tts_generator = self.text_to_speak(
ttsMessageDTO.u_id,
segment_text,
True if msg_type == MsgType.STOP_TTS_REQUEST else False,
(
True
if msg_type == MsgType.START_TTS_REQUEST
else False
),
)
future = asyncio.run_coroutine_threadsafe(
self.process_generator(tts_generator), self.loop
)
self.active_tasks.add(future)
if self.active_tasks:
async def wrap_future(future):
return await asyncio.wrap_future(future)
wrapped_tasks = [
wrap_future(task) for task in self.active_tasks
]
done, _ = loop.run_until_complete(
asyncio.wait(wrapped_tasks)
)
self.active_tasks -= done
# 发送合成结束
self.tts_audio_queue.put(
TTSMessageDTO(
u_id=ttsMessageDTO.u_id,
msg_type=MsgType.STOP_TTS_RESPONSE,
content=[],
tts_finish_text="",
sentence_type=SentenceType.SENTENCE_END,
)
)
segment_text = self._get_segment_text()
if segment_text:
# 确保这里得到的是协程对象
tts_generator = self.text_to_speak(
ttsMessageDTO.u_id,
segment_text,
msg_type == MsgType.STOP_TTS_REQUEST,
msg_type == MsgType.START_TTS_REQUEST,
)
# 提交协程到事件循环
tts_generator_future = asyncio.run_coroutine_threadsafe(
self.process_generator(tts_generator), loop
)
self.active_tasks.add(tts_generator_future)
if len(self.active_tasks) >= self.max_workers:
# 等待所有任务完成
try:
async def wrap_future(future):
return await asyncio.wrap_future(future)
wrapped_tasks = [
wrap_future(task) for task in self.active_tasks
]
done, _ = loop.run_until_complete(
asyncio.wait(wrapped_tasks)
)
self.active_tasks -= done
except Exception as e:
logger.bind(tag=TAG).error(
f"Failed to process TTS text: {e}"
)
traceback.print_exc()
else:
pass
except Exception as e:
logger.bind(tag=TAG).error(f"Failed to process TTS text: {e}")
traceback.print_exc()
self.tts_queue = queue.Queue()
self.audio_play_queue = queue.Queue()
@abstractmethod
def generate_filename(self):
pass
@abstractmethod
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
pass
def to_tts(self, text):
tmp_file = self.generate_filename()
try:
max_repeat_time = 5
text = MarkdownCleaner.clean_markdown(text)
while not os.path.exists(tmp_file) and max_repeat_time > 0:
try:
asyncio.run(self.text_to_speak(text, tmp_file))
except Exception as e:
logger.bind(tag=TAG).warning(
f"语音生成失败{5 - max_repeat_time + 1}次: {text},错误: {e}"
)
# 未执行成功,删除文件
if os.path.exists(tmp_file):
os.remove(tmp_file)
max_repeat_time -= 1
async def text_to_speak_stream(self, text, queue: queue.Queue, text_index=0):
raise Exception("该TTS还没有实现stream模式")
if max_repeat_time > 0:
logger.bind(tag=TAG).info(
f"语音生成成功: {text}:{tmp_file},重试{5 - max_repeat_time}"
)
else:
logger.bind(tag=TAG).error(
f"语音生成失败: {text},请检查网络或服务是否正常"
)
return tmp_file
except Exception as e:
logger.bind(tag=TAG).error(f"Failed to generate TTS file: {e}")
return None
@abstractmethod
async def text_to_speak(self, text, output_file):
pass
def audio_to_pcm_data(self, audio_file_path):
"""音频文件转换为PCM编码"""
@@ -302,16 +71,109 @@ class TTSProviderBase(ABC):
"""音频文件转换为Opus编码"""
return audio_to_data(audio_file_path, is_opus=True)
def get_audio_from_tts(self, data_bytes, src_rate, to_rate=16000):
tts_speech = torch.from_numpy(
np.array(np.frombuffer(data_bytes, dtype=np.int16))
).unsqueeze(dim=0)
with io.BytesIO() as bf:
torchaudio.save(bf, tts_speech, src_rate, format="wav")
audio = AudioSegment.from_file(bf, format="wav")
audio = audio.set_channels(1).set_frame_rate(to_rate)
return audio
def startSession(self, conn):
self.conn = conn
self.tts_timeout = conn.config.get("tts_timeout", 10)
# tts 消化线程
self.tts_priority_thread = threading.Thread(
target=self._tts_priority_thread, daemon=True
)
self.tts_priority_thread.start()
def wav_to_opus_data_audio_raw(self, raw_data_var, is_end=False):
opus_datas = self.opus_encoder.encode_pcm_to_opus(raw_data_var, is_end)
return opus_datas
# 音频播放 消化线程
self.audio_play_priority_thread = threading.Thread(
target=self._audio_play_priority_thread, daemon=True
)
self.audio_play_priority_thread.start()
def _tts_priority_thread(self):
while not self.conn.stop_event.is_set():
text = None
try:
try:
item = self.tts_queue.get(timeout=1)
if item is None:
continue
future, text_index = item # 解包获取 Future 和 text_index
except queue.Empty:
if self.conn.stop_event.is_set():
break
continue
if future is None:
continue
text = None
audio_datas, tts_file = [], None
try:
logger.bind(tag=TAG).debug("正在处理TTS任务...")
tts_file, text, _ = future.result(timeout=self.tts_timeout)
if tts_file is None:
logger.bind(tag=TAG).error(
f"TTS出错: file is empty: {text_index}: {text}"
)
else:
logger.bind(tag=TAG).debug(f"TTS生成:文件路径: {tts_file}")
if os.path.exists(tts_file):
if tts_file.endswith(".p3"):
audio_datas, _ = p3.decode_opus_from_file(tts_file)
elif self.conn.audio_format == "pcm":
audio_datas, _ = self.audio_to_pcm_data(tts_file)
else:
audio_datas, _ = self.audio_to_opus_data(tts_file)
# 在这里上报TTS数据
enqueue_tts_report(
self.conn,
tts_file if text is None else text,
audio_datas,
)
else:
logger.bind(tag=TAG).error(f"TTS出错:文件不存在{tts_file}")
except TimeoutError:
logger.bind(tag=TAG).error("TTS超时")
except Exception as e:
logger.bind(tag=TAG).error(f"TTS出错: {e}")
if not self.conn.client_abort:
# 如果没有中途打断就发送语音
self.audio_play_queue.put((audio_datas, text, text_index))
if (
self.delete_audio_file
and tts_file is not None
and os.path.exists(tts_file)
and tts_file.startswith(self.output_file)
):
os.remove(tts_file)
except Exception as e:
logger.bind(tag=TAG).error(f"TTS任务处理错误: {e}")
self.conn.clearSpeakStatus()
asyncio.run_coroutine_threadsafe(
self.conn.websocket.send(
json.dumps(
{
"type": "tts",
"state": "stop",
"session_id": self.session_id,
}
)
),
self.conn.loop,
)
logger.bind(tag=TAG).error(f"tts_priority priority_thread: {text} {e}")
def _audio_play_priority_thread(self):
while not self.conn.stop_event.is_set():
text = None
try:
try:
audio_datas, text, text_index = self.audio_play_queue.get(timeout=1)
except queue.Empty:
if self.conn.stop_event.is_set():
break
continue
future = asyncio.run_coroutine_threadsafe(
sendAudioMessage(self.conn, audio_datas, text, text_index),
self.conn.loop,
)
future.result()
except Exception as e:
logger.bind(tag=TAG).error(
f"audio_play_priority priority_thread: {text} {e}"
)
@@ -4,11 +4,7 @@ import json
import base64
import requests
from datetime import datetime
from pydub import AudioSegment
from core.providers.tts.base import TTSProviderBase
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
class TTSProvider(TTSProviderBase):
@@ -20,7 +16,6 @@ class TTSProvider(TTSProviderBase):
self.voice = config.get("private_voice")
else:
self.voice = config.get("voice")
self.response_format = config.get("response_format")
self.host = "api.coze.cn"
@@ -32,7 +27,7 @@ class TTSProvider(TTSProviderBase):
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
async def text_to_speak(self, text, output_file):
request_json = {
"model": self.model,
"input": text,
@@ -43,27 +38,13 @@ class TTSProvider(TTSProviderBase):
"Authorization": f"Bearer {self.access_token}",
"Content-Type": "application/json",
}
response = requests.request(
"POST", self.api_url, json=request_json, headers=headers
)
data = response.content
tmp_file = self.generate_filename()
file_to_save = open(tmp_file, "wb")
file_to_save.write(data)
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format="wav")
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
pass
response = requests.request(
"POST", self.api_url, json=request_json, headers=headers
)
data = response.content
file_to_save = open(output_file, "wb")
file_to_save.write(data)
except Exception as e:
raise Exception(f"{__name__} error: {e}")
@@ -2,17 +2,13 @@ import os
import json
import uuid
import requests
from pydub import AudioSegment
from config.logger import setup_logging
from datetime import datetime
from core.providers.tts.base import TTSProviderBase
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
TAG = __name__
logger = setup_logging()
class TTSProvider(TTSProviderBase):
def __init__(self, config, delete_audio_file):
super().__init__(config, delete_audio_file)
@@ -33,14 +29,10 @@ class TTSProvider(TTSProviderBase):
raise TypeError("Custom TTS配置参数出错, 请参考配置说明")
def generate_filename(self):
return os.path.join(
self.output_file,
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}.{self.format}",
)
return os.path.join(self.output_file, f"tts-{datetime.now().date()}@{uuid.uuid4().hex}.{self.format}")
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
async def text_to_speak(self, text, output_file):
request_params = {}
tmp_file = self.generate_filename()
for k, v in self.params.items():
if isinstance(v, str) and "{prompt_text}" in v:
v = v.replace("{prompt_text}", text)
@@ -51,26 +43,9 @@ class TTSProvider(TTSProviderBase):
else:
resp = requests.get(self.url, params=request_params, headers=self.headers)
if resp.status_code == 200:
with open(tmp_file, "wb") as file:
with open(output_file, "wb") as file:
file.write(resp.content)
else:
logger.bind(tag=TAG).error(
f"Custom TTS请求失败: {resp.status_code} - {resp.text}"
)
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format=self.format)
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
pass
error_msg = f"Custom TTS请求失败: {resp.status_code} - {resp.text}"
logger.bind(tag=TAG).error(error_msg)
raise Exception(error_msg) # 抛出异常,让调用方捕获
@@ -0,0 +1,24 @@
import os
import asyncio
from config.logger import setup_logging
from core.providers.tts.base import TTSProviderBase
TAG = __name__
logger = setup_logging()
class DefaultTTS(TTSProviderBase):
def __init__(self, config, delete_audio_file=True):
super().__init__(config, delete_audio_file)
self.output_dir = config.get("output_dir", "output")
if not os.path.exists(self.output_dir):
os.makedirs(self.output_dir)
def generate_filename(self):
"""生成唯一的音频文件名"""
import uuid
return os.path.join(self.output_dir, f"{uuid.uuid4()}.wav")
async def text_to_speak(self, text, output_file):
logger.bind(tag=TAG).error(f"无法实例化 TTS 服务,请检查配置")
@@ -4,10 +4,6 @@ import json
import base64
import requests
from datetime import datetime
from pydub import AudioSegment
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
from core.utils.util import check_model_key
from core.providers.tts.base import TTSProviderBase
from config.logger import setup_logging
@@ -51,8 +47,7 @@ class TTSProvider(TTSProviderBase):
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
tmp_file = self.generate_filename()
async def text_to_speak(self, text, output_file):
request_json = {
"app": {
"appid": f"{self.appid}",
@@ -83,7 +78,7 @@ class TTSProvider(TTSProviderBase):
)
if "data" in resp.json():
data = resp.json()["data"]
file_to_save = open(tmp_file, "wb")
file_to_save = open(output_file, "wb")
file_to_save.write(base64.b64decode(data))
else:
raise Exception(
@@ -91,15 +86,3 @@ class TTSProvider(TTSProviderBase):
)
except Exception as e:
raise Exception(f"{__name__} error: {e}")
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format="wav")
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(u_id=u_id, msg_type=MsgType.TTS_TEXT_RESPONSE, content=opus_datas, tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
pass
@@ -1,42 +0,0 @@
from enum import Enum
from typing import Union
class MsgType(Enum):
# 请求类型
START_TTS_REQUEST = "START_TTS_REQUEST"
TTS_TEXT_REQUEST = "TTS_TEXT_REQUEST"
STOP_TTS_REQUEST = "STOP_TTS_REQUEST"
# 返回类型
START_TTS_RESPONSE = "START_TTS_RESPONSE"
TTS_TEXT_RESPONSE = "TTS_TEXT_RESPONSE"
STOP_TTS_RESPONSE = "STOP_TTS_RESPONSE"
class SentenceType(Enum):
# 句子开始
SENTENCE_START = "SENTENCE_START"
# 句子结束
SENTENCE_END = "SENTENCE_END"
class TTSMessageDTO:
def __init__(self, u_id: str, msg_type: MsgType, content: Union[str, bytes], tts_finish_text=None,
sentence_type: SentenceType = None, duration=0):
if not isinstance(msg_type, MsgType):
raise ValueError("msg_type must be an instance of MsgType Enum")
if not isinstance(content, (str, list, bytes)):
raise ValueError("content must be of type str or bytes")
# 唯一id,每个合成到合成结束,使用同一个id
self.u_id = u_id
self.msg_type = msg_type
self.sentence_type = sentence_type
self.content = content
self.tts_finish_text = tts_finish_text
self.duration = duration
def __repr__(self):
content_preview = self.content if isinstance(self.content, str) else "<binary data>"
return f"MessageDTO(msg_type={self.msg_type}, content={content_preview})"
+13 -40
View File
@@ -1,17 +1,8 @@
import io
import os
import uuid
import edge_tts
from datetime import datetime
from pydub import AudioSegment
from config.logger import setup_logging
from core.providers.tts.base import TTSProviderBase
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
TAG = __name__
logger = setup_logging()
class TTSProvider(TTSProviderBase):
@@ -28,37 +19,19 @@ class TTSProvider(TTSProviderBase):
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
async def text_to_speak(self, text, output_file):
try:
communicate = edge_tts.Communicate(
text, voice=self.voice
) # Use your preferred voice
tmp_file = self.generate_filename()
await communicate.save(tmp_file)
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format="mp3")
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
communicate = edge_tts.Communicate(text, voice=self.voice)
# 确保目录存在并创建空文件
os.makedirs(os.path.dirname(output_file), exist_ok=True)
with open(output_file, "wb") as f:
pass
# 流式写入音频数据
with open(output_file, "ab") as f: # 改为追加模式避免覆盖
async for chunk in communicate.stream():
if chunk["type"] == "audio": # 只处理音频数据块
f.write(chunk["data"])
except Exception as e:
logger.bind(tag=TAG).error(f"TTSProvider text_to_speak error: {e}")
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=[],
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
error_msg = f"Edge TTS请求失败: {e}"
raise Exception(error_msg) # 抛出异常,让调用方捕获
@@ -1,25 +1,14 @@
import base64
import os
import traceback
import uuid
import queue
import io
import numpy as np
import requests
import ormsgpack
from pathlib import Path
import torch
import torchaudio
from pydantic import BaseModel, Field, conint, model_validator
from pydub import AudioSegment
from typing_extensions import Annotated
from datetime import datetime
from typing import Literal
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
from core.utils.util import check_model_key
from core.utils.util import check_model_key, parse_string_to_list
from core.providers.tts.base import TTSProviderBase
from config.logger import setup_logging
@@ -150,121 +139,51 @@ class TTSProvider(TTSProviderBase):
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
def _get_audio_from_tts(self, data_bytes):
tts_speech = torch.from_numpy(
np.array(np.frombuffer(data_bytes, dtype=np.int16))
).unsqueeze(dim=0)
with io.BytesIO() as bf:
torchaudio.save(bf, tts_speech, 44100, format="wav")
audio = AudioSegment.from_file(bf, format="wav")
audio = audio.set_channels(1).set_frame_rate(16000)
return audio
async def text_to_speak(self, text, output_file):
# Prepare reference data
byte_audios = [audio_to_bytes(ref_audio) for ref_audio in self.reference_audio]
ref_texts = [read_ref_text(ref_text) for ref_text in self.reference_text]
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
try:
data = {
"text": text,
"reference_id": self.reference_id,
"normalize": self.normalize,
"format": self.format,
"max_new_tokens": self.max_new_tokens,
"chunk_length": self.chunk_length,
"top_p": self.top_p,
"repetition_penalty": self.repetition_penalty,
"temperature": self.temperature,
"streaming": self.streaming,
"use_memory_cache": self.use_memory_cache,
"seed": self.seed,
}
data = {
"text": text,
"references": [
ServeReferenceAudio(audio=audio if audio else b"", text=text)
for text, audio in zip(ref_texts, byte_audios)
],
"reference_id": self.reference_id,
"normalize": self.normalize,
"format": self.format,
"max_new_tokens": self.max_new_tokens,
"chunk_length": self.chunk_length,
"top_p": self.top_p,
"repetition_penalty": self.repetition_penalty,
"temperature": self.temperature,
"streaming": self.streaming,
"use_memory_cache": self.use_memory_cache,
"seed": self.seed,
}
# Prepare reference data
if self.reference_audio and self.reference_text:
byte_audios = [
audio_to_bytes(ref_audio) for ref_audio in self.reference_audio
]
ref_texts = [
read_ref_text(ref_text) for ref_text in self.reference_text
]
data["references"] = (
[
ServeReferenceAudio(audio=audio if audio else b"", text=text)
for text, audio in zip(ref_texts, byte_audios)
],
)
data["reference_id"] = None
pydantic_data = ServeTTSRequest(**data)
pydantic_data = ServeTTSRequest(**data)
audio_buff = None
chunk_total = b""
last_raw = b""
audio_raw = b""
print("请求tts")
with requests.post(
self.api_url,
data=ormsgpack.packb(
pydantic_data, option=ormsgpack.OPT_SERIALIZE_PYDANTIC
),
headers={
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/msgpack",
},
) as response:
if response.status_code == 200:
index = 0
for chunk in response.iter_content():
# 拼接当前块和上一块数据
chunk_total += chunk
# 最后一个是静音,说明是一个完整的音频
if (
len(chunk_total) % 2 == 0
and chunk_total[-2:] == b"\x00\x00"
):
audio = self._get_audio_from_tts(chunk_total)
audio_raw = audio_raw + audio.raw_data
# 长度凑够2贞开始发送,60ms*2=120ms
if len(audio_raw) >= 3840:
opus_datas = self.wav_to_opus_data_audio_raw(audio_raw)
if index == 0:
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
else:
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=None,
)
audio_raw = b""
chunk_total = b""
if len(chunk_total) > 0:
audio = self._get_audio_from_tts(chunk_total)
audio_raw = audio_raw + audio.raw_data
opus_datas = self.wav_to_opus_data_audio_raw(audio_raw)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_END,
)
else:
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=[],
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_END,
)
response = requests.post(
self.api_url,
data=ormsgpack.packb(
pydantic_data, option=ormsgpack.OPT_SERIALIZE_PYDANTIC
),
headers={
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/msgpack",
},
)
else:
print("请求失败:", response.status_code, response.text)
except Exception as e:
logger.bind(tag=TAG).error("tts发生错误")
traceback.print_exc()
raise e
if response.status_code == 200:
audio_content = response.content
with open(output_file, "wb") as audio_file:
audio_file.write(audio_content)
else:
error_msg = f"Request failed with status code {response.status_code}"
print(error_msg)
print(response.json())
raise Exception(error_msg)
@@ -1,12 +1,12 @@
import os
import uuid
import json
import base64
import requests
from pydub import AudioSegment
from core.utils.util import parse_string_to_list
from config.logger import setup_logging
from datetime import datetime
from core.providers.tts.base import TTSProviderBase
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
from core.utils.util import parse_string_to_list
TAG = __name__
logger = setup_logging()
@@ -77,8 +77,7 @@ class TTSProvider(TTSProviderBase):
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
tmp_file = self.generate_filename()
async def text_to_speak(self, text, output_file):
request_json = {
"text": text,
"text_lang": self.text_lang,
@@ -103,26 +102,9 @@ class TTSProvider(TTSProviderBase):
resp = requests.post(self.url, json=request_json)
if resp.status_code == 200:
with open(tmp_file, "wb") as file:
with open(output_file, "wb") as file:
file.write(resp.content)
else:
logger.bind(tag=TAG).error(
f"GPT_SoVITS_V2 TTS请求失败: {resp.status_code} - {resp.text}"
)
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format="wav")
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
pass
error_msg = f"GPT_SoVITS_V2 TTS请求失败: {resp.status_code} - {resp.text}"
logger.bind(tag=TAG).error(error_msg)
raise Exception(error_msg)
@@ -1,12 +1,10 @@
import os
import uuid
import requests
from pydub import AudioSegment
from core.utils.util import parse_string_to_list
from config.logger import setup_logging
from datetime import datetime
from core.providers.tts.base import TTSProviderBase
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
from core.utils.util import parse_string_to_list
TAG = __name__
logger = setup_logging()
@@ -44,8 +42,7 @@ class TTSProvider(TTSProviderBase):
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
tmp_file = self.generate_filename()
async def text_to_speak(self, text, output_file):
request_params = {
"refer_wav_path": self.refer_wav_path,
"prompt_text": self.prompt_text,
@@ -64,26 +61,10 @@ class TTSProvider(TTSProviderBase):
resp = requests.get(self.url, params=request_params)
if resp.status_code == 200:
with open(tmp_file, "wb") as file:
with open(output_file, "wb") as file:
file.write(resp.content)
else:
logger.bind(tag=TAG).error(
f"GPT_SoVITS_V3 TTS请求失败: {resp.status_code} - {resp.text}"
)
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format="wav")
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
pass
error_msg = f"GPT_SoVITS_V3 TTS请求失败: {resp.status_code} - {resp.text}"
logger.bind(tag=TAG).error(error_msg)
raise Exception(error_msg)
@@ -1,453 +0,0 @@
import asyncio
import io
import os
import subprocess
import threading
import traceback
import uuid
import json
import base64
import requests
from datetime import datetime
import websockets
from config.logger import setup_logging
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
from core.utils.util import check_model_key
from core.providers.tts.base import TTSProviderBase
TAG = __name__
logger = setup_logging()
PROTOCOL_VERSION = 0b0001
DEFAULT_HEADER_SIZE = 0b0001
# Message Type:
FULL_CLIENT_REQUEST = 0b0001
AUDIO_ONLY_RESPONSE = 0b1011
FULL_SERVER_RESPONSE = 0b1001
ERROR_INFORMATION = 0b1111
# Message Type Specific Flags
MsgTypeFlagNoSeq = 0b0000 # Non-terminal packet with no sequence
MsgTypeFlagPositiveSeq = 0b1 # Non-terminal packet with sequence > 0
MsgTypeFlagLastNoSeq = 0b10 # last packet with no sequence
MsgTypeFlagNegativeSeq = 0b11 # Payload contains event number (int32)
MsgTypeFlagWithEvent = 0b100
# Message Serialization
NO_SERIALIZATION = 0b0000
JSON = 0b0001
# Message Compression
COMPRESSION_NO = 0b0000
COMPRESSION_GZIP = 0b0001
EVENT_NONE = 0
EVENT_Start_Connection = 1
EVENT_FinishConnection = 2
EVENT_ConnectionStarted = 50 # 成功建连
EVENT_ConnectionFailed = 51 # 建连失败(可能是无法通过权限认证)
EVENT_ConnectionFinished = 52 # 连接结束
# 上行Session事件
EVENT_StartSession = 100
EVENT_FinishSession = 102
# 下行Session事件
EVENT_SessionStarted = 150
EVENT_SessionFinished = 152
EVENT_SessionFailed = 153
# 上行通用事件
EVENT_TaskRequest = 200
# 下行TTS事件
EVENT_TTSSentenceStart = 350
EVENT_TTSSentenceEnd = 351
EVENT_TTSResponse = 352
class Header:
def __init__(
self,
protocol_version=PROTOCOL_VERSION,
header_size=DEFAULT_HEADER_SIZE,
message_type: int = 0,
message_type_specific_flags: int = 0,
serial_method: int = NO_SERIALIZATION,
compression_type: int = COMPRESSION_NO,
reserved_data=0,
):
self.header_size = header_size
self.protocol_version = protocol_version
self.message_type = message_type
self.message_type_specific_flags = message_type_specific_flags
self.serial_method = serial_method
self.compression_type = compression_type
self.reserved_data = reserved_data
def as_bytes(self) -> bytes:
return bytes(
[
(self.protocol_version << 4) | self.header_size,
(self.message_type << 4) | self.message_type_specific_flags,
(self.serial_method << 4) | self.compression_type,
self.reserved_data,
]
)
class Optional:
def __init__(
self, event: int = EVENT_NONE, sessionId: str = None, sequence: int = None
):
self.event = event
self.sessionId = sessionId
self.errorCode: int = 0
self.connectionId: str | None = None
self.response_meta_json: str | None = None
self.sequence = sequence
# 转成 byte 序列
def as_bytes(self) -> bytes:
option_bytes = bytearray()
if self.event != EVENT_NONE:
option_bytes.extend(self.event.to_bytes(4, "big", signed=True))
if self.sessionId is not None:
session_id_bytes = str.encode(self.sessionId)
size = len(session_id_bytes).to_bytes(4, "big", signed=True)
option_bytes.extend(size)
option_bytes.extend(session_id_bytes)
if self.sequence is not None:
option_bytes.extend(self.sequence.to_bytes(4, "big", signed=True))
return option_bytes
class Response:
def __init__(self, header: Header, optional: Optional):
self.optional = optional
self.header = header
self.payload: bytes | None = None
def __str__(self):
return super().__str__()
class TTSProvider(TTSProviderBase):
def __init__(self, config, delete_audio_file):
super().__init__(config, delete_audio_file)
self.appId = config.get("appid")
self.access_token = config.get("access_token")
self.cluster = config.get("cluster")
self.resource_id = config.get("resource_id")
self.voice = config.get("voice")
self.ws_url = config.get("ws_url")
self.authorization = config.get("authorization")
self.speaker = config.get("speaker")
self.header = {"Authorization": f"{self.authorization}{self.access_token}"}
self.stop_event_response = threading.Event()
self.enable_two_way = True
self.start_connection_flag = False
self.tts_text = ""
async def open_audio_channels(self):
await super().open_audio_channels()
ws_header = {
"X-Api-App-Key": self.appId,
"X-Api-Access-Key": self.access_token,
"X-Api-Resource-Id": self.resource_id,
"X-Api-Connect-Id": uuid.uuid4(),
}
self.ws = await websockets.connect(
self.ws_url, additional_headers=ws_header, max_size=1000000000
)
tts_priority = threading.Thread(
target=self._start_monitor_tts_response_thread(), daemon=True
)
tts_priority.start()
def generate_filename(self, extension=".wav"):
return os.path.join(
self.output_file,
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
async def send_event(
self, header: bytes, optional: bytes | None = None, payload: bytes = None
):
full_client_request = bytearray(header)
if optional is not None:
full_client_request.extend(optional)
if payload is not None:
payload_size = len(payload).to_bytes(4, "big", signed=True)
full_client_request.extend(payload_size)
full_client_request.extend(payload)
await self.ws.send(full_client_request)
async def send_text(self, speaker: str, text: str, session_id):
header = Header(
message_type=FULL_CLIENT_REQUEST,
message_type_specific_flags=MsgTypeFlagWithEvent,
serial_method=JSON,
).as_bytes()
optional = Optional(event=EVENT_TaskRequest, sessionId=session_id).as_bytes()
payload = self.get_payload_bytes(
event=EVENT_TaskRequest, text=text, speaker=speaker
)
return await self.send_event(header, optional, payload)
# 读取 res 数组某段 字符串内容
def read_res_content(self, res: bytes, offset: int):
content_size = int.from_bytes(res[offset : offset + 4], "big", signed=True)
offset += 4
content = str(res[offset : offset + content_size])
offset += content_size
return content, offset
# 读取 payload
def read_res_payload(self, res: bytes, offset: int):
payload_size = int.from_bytes(res[offset : offset + 4], "big", signed=True)
offset += 4
payload = res[offset : offset + payload_size]
offset += payload_size
return payload, offset
def parser_response(self, res) -> Response:
if isinstance(res, str):
raise RuntimeError(res)
response = Response(Header(), Optional())
# 解析结果
# header
header = response.header
num = 0b00001111
header.protocol_version = res[0] >> 4 & num
header.header_size = res[0] & 0x0F
header.message_type = (res[1] >> 4) & num
header.message_type_specific_flags = res[1] & 0x0F
header.serialization_method = res[2] >> num
header.message_compression = res[2] & 0x0F
header.reserved = res[3]
#
offset = 4
optional = response.optional
if header.message_type == FULL_SERVER_RESPONSE or AUDIO_ONLY_RESPONSE:
# read event
if header.message_type_specific_flags == MsgTypeFlagWithEvent:
optional.event = int.from_bytes(res[offset:8], "big", signed=True)
offset += 4
if optional.event == EVENT_NONE:
return response
# read connectionId
elif optional.event == EVENT_ConnectionStarted:
optional.connectionId, offset = self.read_res_content(res, offset)
elif optional.event == EVENT_ConnectionFailed:
optional.response_meta_json, offset = self.read_res_content(
res, offset
)
elif (
optional.event == EVENT_SessionStarted
or optional.event == EVENT_SessionFailed
or optional.event == EVENT_SessionFinished
):
optional.sessionId, offset = self.read_res_content(res, offset)
optional.response_meta_json, offset = self.read_res_content(
res, offset
)
else:
optional.sessionId, offset = self.read_res_content(res, offset)
response.payload, offset = self.read_res_payload(res, offset)
elif header.message_type == ERROR_INFORMATION:
optional.errorCode = int.from_bytes(
res[offset : offset + 4], "big", signed=True
)
offset += 4
response.payload, offset = self.read_res_payload(res, offset)
return response
async def start_connection(self):
header = Header(
message_type=FULL_CLIENT_REQUEST,
message_type_specific_flags=MsgTypeFlagWithEvent,
).as_bytes()
optional = Optional(event=EVENT_Start_Connection).as_bytes()
payload = str.encode("{}")
return await self.send_event(header, optional, payload)
def print_response(self, res, tag_msg: str):
logger.bind(tag=TAG).info(f"===>{tag_msg} header:{res.header.__dict__}")
logger.bind(tag=TAG).info(f"===>{tag_msg} optional:{res.optional.__dict__}")
def get_payload_bytes(
self,
uid="1234",
event=EVENT_NONE,
text="",
speaker="",
audio_format="pcm",
audio_sample_rate=16000,
):
return str.encode(
json.dumps(
{
"user": {"uid": uid},
"event": event,
"namespace": "BidirectionalTTS",
"req_params": {
"text": text,
"speaker": speaker,
"audio_params": {
"format": audio_format,
"sample_rate": audio_sample_rate,
},
},
}
)
)
async def finish_connection(self):
header = Header(
message_type=FULL_CLIENT_REQUEST,
message_type_specific_flags=MsgTypeFlagWithEvent,
serial_method=JSON,
).as_bytes()
optional = Optional(event=EVENT_FinishConnection).as_bytes()
payload = str.encode("{}")
await self.send_event(header, optional, payload)
return
async def start_session(self, session_id):
self.stop_event_response.clear()
header = Header(
message_type=FULL_CLIENT_REQUEST,
message_type_specific_flags=MsgTypeFlagWithEvent,
serial_method=JSON,
).as_bytes()
optional = Optional(event=EVENT_StartSession, sessionId=session_id).as_bytes()
payload = self.get_payload_bytes(event=EVENT_StartSession, speaker=self.speaker)
await self.send_event(header, optional, payload)
async def finish_session(self, session_id):
self.stop_event_response.set()
header = Header(
message_type=FULL_CLIENT_REQUEST,
message_type_specific_flags=MsgTypeFlagWithEvent,
serial_method=JSON,
).as_bytes()
optional = Optional(event=EVENT_FinishSession, sessionId=session_id).as_bytes()
payload = str.encode("{}")
await self.send_event(header, optional, payload)
return
async def reset(self):
# 关闭之前的对话
if self.start_connection_flag:
await self.finish_connection()
self.start_connection_flag = False
await self.start_connection()
self.start_connection_flag = True
await super().reset()
async def close(self):
super().close()
"""资源清理方法"""
await self.finish_connection()
await self.ws.close()
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
# 发送文本
await self.send_text(self.speaker, text, u_id)
return
def _start_monitor_tts_response_thread(self):
# 初始化链接
asyncio.run_coroutine_threadsafe(
self._start_monitor_tts_response(), loop=self.loop
)
async def _start_monitor_tts_response(self):
chunk_total = b""
while not self.stop_event.is_set():
try:
msg = await self.ws.recv() # 确保 `recv()` 运行在同一个 event loop
res = self.parser_response(msg)
self.print_response(res, "send_text res:")
if (
res.optional.event == EVENT_TTSResponse
and res.header.message_type == AUDIO_ONLY_RESPONSE
):
logger.bind(tag=TAG).info(f"推送数据到队列里面~~")
opus_datas = self.wav_to_opus_data_audio_raw(res.payload)
logger.bind(tag=TAG).info(f"推送数据到队列里面帧数~~{len(opus_datas)}")
self.tts_audio_queue.put(
TTSMessageDTO(
u_id=self.u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text="",
sentence_type=None,
duration=0,
)
)
elif res.optional.event == EVENT_TTSSentenceStart:
json_data = json.loads(res.payload.decode("utf-8"))
self.tts_text = json_data.get("text", "")
logger.bind(tag=TAG).info(f"句子开始~~{self.tts_text}")
self.tts_audio_queue.put(
TTSMessageDTO(
u_id=self.u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=[],
tts_finish_text=self.tts_text,
sentence_type=SentenceType.SENTENCE_START,
)
)
elif res.optional.event == EVENT_TTSSentenceEnd:
logger.bind(tag=TAG).info(f"句子结束~~{self.tts_text}")
self.tts_audio_queue.put(
TTSMessageDTO(
u_id=self.u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=[],
tts_finish_text=self.tts_text,
sentence_type=SentenceType.SENTENCE_END,
)
)
elif res.optional.event == EVENT_SessionFinished:
logger.bind(tag=TAG).info(f"会话结束~~,最后一句补零")
opus_datas = self.wav_to_opus_data_audio_raw(b"", is_end=True)
self.tts_audio_queue.put(
TTSMessageDTO(
u_id=self.u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text="",
sentence_type=None,
duration=0,
)
)
self.tts_audio_queue.put(
TTSMessageDTO(
u_id=self.u_id,
msg_type=MsgType.STOP_TTS_RESPONSE,
content=[],
tts_finish_text=self.tts_text,
sentence_type=SentenceType.SENTENCE_END,
)
)
else:
continue
except websockets.ConnectionClosed:
break # 连接关闭时退出监听
except Exception as e:
logger.bind(tag=TAG).error(f"Error in _start_monitor_tts_response: {e}")
traceback.print_exc()
continue
@@ -2,11 +2,9 @@ import os
import uuid
import json
import requests
from core.utils.util import parse_string_to_list
from datetime import datetime
from pydub import AudioSegment
from core.providers.tts.base import TTSProviderBase
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
from core.utils.util import parse_string_to_list
class TTSProvider(TTSProviderBase):
@@ -61,8 +59,7 @@ class TTSProvider(TTSProviderBase):
f"tts-{__name__}{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
tmp_file = self.generate_filename()
async def text_to_speak(self, text, output_file):
request_json = {
"model": self.model,
"text": text,
@@ -83,7 +80,7 @@ class TTSProvider(TTSProviderBase):
# 检查返回请求数据的status_code是否为0
if resp.json()["base_resp"]["status_code"] == 0:
data = resp.json()["data"]["audio"]
file_to_save = open(tmp_file, "wb")
file_to_save = open(output_file, "wb")
file_to_save.write(bytes.fromhex(data))
else:
raise Exception(
@@ -91,20 +88,3 @@ class TTSProvider(TTSProviderBase):
)
except Exception as e:
raise Exception(f"{__name__} error: {e}")
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format="mp3")
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
pass
@@ -2,12 +2,12 @@ import os
import uuid
import requests
from datetime import datetime
from pydub import AudioSegment
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
from core.utils.util import check_model_key
from core.providers.tts.base import TTSProviderBase
from config.logger import setup_logging
TAG = __name__
logger = setup_logging()
class TTSProvider(TTSProviderBase):
@@ -35,8 +35,7 @@ class TTSProvider(TTSProviderBase):
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
tmp_file = self.generate_filename()
async def text_to_speak(self, text, output_file):
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
@@ -50,26 +49,9 @@ class TTSProvider(TTSProviderBase):
}
response = requests.post(self.api_url, json=data, headers=headers)
if response.status_code == 200:
with open(tmp_file, "wb") as audio_file:
with open(output_file, "wb") as audio_file:
audio_file.write(response.content)
else:
raise Exception(
f"OpenAI TTS请求失败: {response.status_code} - {response.text}"
)
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format="wav")
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
pass
@@ -2,11 +2,7 @@ import os
import uuid
import requests
from datetime import datetime
from pydub import AudioSegment
from core.providers.tts.base import TTSProviderBase
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
class TTSProvider(TTSProviderBase):
@@ -32,8 +28,7 @@ class TTSProvider(TTSProviderBase):
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
tmp_file = self.generate_filename()
async def text_to_speak(self, text, output_file):
request_json = {
"model": self.model,
"input": text,
@@ -44,26 +39,12 @@ class TTSProvider(TTSProviderBase):
"Authorization": f"Bearer {self.access_token}",
"Content-Type": "application/json",
}
response = requests.request(
"POST", self.api_url, json=request_json, headers=headers
)
data = response.content
file_to_save = open(tmp_file, "wb")
file_to_save.write(data)
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format="wav")
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
pass
response = requests.request(
"POST", self.api_url, json=request_json, headers=headers
)
data = response.content
file_to_save = open(output_file, "wb")
file_to_save.write(data)
except Exception as e:
raise Exception(f"{__name__} error: {e}")
+17 -31
View File
@@ -4,11 +4,11 @@ import json
import requests
import shutil
from datetime import datetime
from pydub import AudioSegment
from core.providers.tts.base import TTSProviderBase
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType, SentenceType
from config.logger import setup_logging
TAG = __name__
logger = setup_logging()
class TTSProvider(TTSProviderBase):
@@ -39,8 +39,7 @@ class TTSProvider(TTSProviderBase):
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
)
async def text_to_speak(self, u_id, text, is_last_text=False, is_first_text=False):
tmp_file = self.generate_filename()
async def text_to_speak(self, text, output_file):
url = f"{self.url}{self.token}"
result = "firefly"
payload = json.dumps(
@@ -59,7 +58,8 @@ class TTSProvider(TTSProviderBase):
resp = requests.request("POST", url, data=payload)
if resp.status_code != 200:
return
logger.bind(tag=TAG).error(f"TTSON 请求失败: {resp.text}")
raise Exception(f"{__name__}: TTS请求失败")
resp_json = resp.json()
try:
result = (
@@ -71,29 +71,15 @@ class TTSProvider(TTSProviderBase):
+ "&voice_audio_path="
+ resp_json["voice_path"]
)
audio_content = requests.get(result)
with open(output_file, "wb") as f:
f.write(audio_content.content)
return True
voice_path = resp_json.get("voice_path")
des_path = output_file
shutil.move(voice_path, des_path)
except Exception as e:
print("error:", e)
audio_content = requests.get(result)
with open(tmp_file, "wb") as f:
f.write(audio_content.content)
# 使用 pydub 读取临时文件
audio = AudioSegment.from_file(tmp_file, format="mp3")
audio = audio.set_channels(1).set_frame_rate(16000)
opus_datas = self.wav_to_opus_data_audio_raw(audio.raw_data)
yield TTSMessageDTO(
u_id=u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_datas,
tts_finish_text=text,
sentence_type=SentenceType.SENTENCE_START,
)
# 用完后删除临时文件
try:
os.remove(tmp_file)
except FileNotFoundError:
# 若文件不存在,忽略该异常
pass
voice_path = resp_json.get("voice_path")
des_path = tmp_file
shutil.move(voice_path, des_path)
raise Exception(f"{__name__}: TTS请求失败")
@@ -1,34 +0,0 @@
def get_string_no_punctuation_or_emoji(s):
"""去除字符串首尾的空格、标点符号和表情符号"""
chars = list(s)
# 处理开头的字符
start = 0
while start < len(chars) and is_punctuation_or_emoji(chars[start]):
start += 1
# 处理结尾的字符
end = len(chars) - 1
while end >= start and is_punctuation_or_emoji(chars[end]):
end -= 1
return ''.join(chars[start:end + 1])
def is_punctuation_or_emoji(char):
"""检查字符是否为空格、指定标点或表情符号"""
# 定义需要去除的中英文标点(包括全角/半角)
punctuation_set = {
'', ',', # 中文逗号 + 英文逗号
'', '.', # 中文句号 + 英文句号
'', '!', # 中文感叹号 + 英文感叹号
'-', '', # 英文连字符 + 中文全角横线
'' # 中文顿号
}
if char.isspace() or char in punctuation_set:
return True
# 检查表情符号(保留原有逻辑)
code_point = ord(char)
emoji_ranges = [
(0x1F600, 0x1F64F), (0x1F300, 0x1F5FF),
(0x1F680, 0x1F6FF), (0x1F900, 0x1F9FF),
(0x1FA70, 0x1FAFF), (0x2600, 0x26FF),
(0x2700, 0x27BF)
]
return any(start <= code_point <= end for start, end in emoji_ranges)
@@ -2,6 +2,7 @@ import asyncio
import websockets
from config.logger import setup_logging
from core.connection import ConnectionHandler
from core.providers.tts.default import DefaultTTS
from core.utils.util import initialize_modules, check_vad_update, check_asr_update
from config.config_loader import get_config_from_api
@@ -29,6 +30,10 @@ class WebSocketServer:
self._llm = modules["llm"] if "llm" in modules else None
self._intent = modules["intent"] if "intent" in modules else None
self._memory = modules["memory"] if "memory" in modules else None
if self._tts is None:
self._tts = DefaultTTS(self.config, delete_audio_file=True)
self.active_connections = set()
async def start(self):
@@ -15,15 +15,26 @@ async def _get_device_status(conn, device_name, device_type, property_name):
return status
async def _set_device_property(conn, device_name, device_type, method_name, property_name, new_value=None, action=None, step=10):
async def _set_device_property(
conn,
device_name,
device_type,
method_name,
property_name,
new_value=None,
action=None,
step=10,
):
"""设置设备属性"""
current_value = await _get_device_status(conn, device_name, device_type, property_name)
current_value = await _get_device_status(
conn, device_name, device_type, property_name
)
if action == 'raise':
if action == "raise":
current_value += step
elif action == 'lower':
elif action == "lower":
current_value -= step
elif action == 'set':
elif action == "set":
if new_value is None:
raise Exception(f"缺少{property_name}参数")
current_value = new_value
@@ -37,8 +48,7 @@ async def _set_device_property(conn, device_name, device_type, method_name, prop
def _handle_device_action(conn, func, success_message, error_message, *args, **kwargs):
"""处理设备操作的通用函数"""
future = asyncio.run_coroutine_threadsafe(
func(conn, *args, **kwargs), conn.loop)
future = asyncio.run_coroutine_threadsafe(func(conn, *args, **kwargs), conn.loop)
try:
result = future.result()
logger.bind(tag=TAG).info(f"{success_message}: {result}")
@@ -75,26 +85,41 @@ handle_device_function_desc = {
"device_type": {
"type": "string",
"description": "设备类型,**严格限定为Speaker(音量)或Screen(亮度)**,其他设备类型禁止调用此函数",
"enum": ["Speaker", "Screen"]
"enum": ["Speaker", "Screen"],
},
"action": {
"type": "string",
"description": "动作名称,可选值:get(获取),set(设置),raise(提高),lower(降低)"
"description": "动作名称,可选值:get(获取),set(设置),raise(提高),lower(降低)",
},
"value": {
"type": "integer",
"description": "值大小,可选值:0-100之间的整数"
}
"description": "值大小,可选值:0-100之间的整数",
},
},
"required": ["device_type", "action"]
}
}
"required": ["device_type", "action"],
},
},
}
@register_function('handle_speaker_volume_or_screen_brightness', handle_device_function_desc, ToolType.IOT_CTL)
def handle_speaker_volume_or_screen_brightness(conn, device_type: str, action: str, value: int = None):
@register_function(
"handle_speaker_volume_or_screen_brightness",
handle_device_function_desc,
ToolType.IOT_CTL,
)
def handle_speaker_volume_or_screen_brightness(
conn, device_type: str, action: str, value: int = None
):
# 检查value是否为中文值
if (
value is not None
and isinstance(value, str)
and any("\u4e00" <= char <= "\u9fff" for char in str(value))
):
raise Exception(
f"请直接告诉我要将{'音量' if device_type=='Speaker' else '亮度'}调整成多少"
)
if device_type == "Speaker":
method_name, property_name, device_name = "SetVolume", "volume", "音量"
elif device_type == "Screen":
@@ -108,13 +133,25 @@ def handle_speaker_volume_or_screen_brightness(conn, device_type: str, action: s
if action == "get":
# get
return _handle_device_action(
conn, _get_device_status, f"当前{device_name}", f"获取{device_name}失败",
device_name=device_name, device_type=device_type, property_name=property_name,
conn,
_get_device_status,
f"当前{device_name}",
f"获取{device_name}失败",
device_name=device_name,
device_type=device_type,
property_name=property_name,
)
else:
# set, raise, lower
return _handle_device_action(
conn, _set_device_property, f"{device_name}已调整到", f"{device_name}调整失败",
device_name=device_name, device_type=device_type, method_name=method_name,
property_name=property_name, new_value=value, action=action
conn,
_set_device_property,
f"{device_name}已调整到",
f"{device_name}调整失败",
device_name=device_name,
device_type=device_type,
method_name=method_name,
property_name=property_name,
new_value=value,
action=action,
)
@@ -7,8 +7,6 @@ import asyncio
import difflib
import traceback
from pathlib import Path
from core.providers.tts.dto.dto import TTSMessageDTO, MsgType
from core.utils import p3
from core.handle.sendAudioHandle import send_stt_message
from plugins_func.register import register_function, ToolType, ActionResponse, Action
@@ -38,7 +36,7 @@ play_music_function_desc = {
@register_function("play_music", play_music_function_desc, ToolType.SYSTEM_CTL)
def play_music(conn, song_name=None):
def play_music(conn, song_name: str):
try:
music_intent = (
f"播放音乐 {song_name}" if song_name != "random" else "随机播放音乐"
@@ -122,8 +120,8 @@ def get_music_files(music_dir, music_ext):
def initialize_music_handler(conn):
global MUSIC_CACHE
if MUSIC_CACHE == {}:
if "music" in conn.config:
MUSIC_CACHE["music_config"] = conn.config["music"]
if "play_music" in conn.config["plugins"]:
MUSIC_CACHE["music_config"] = conn.config["plugins"]["play_music"]
MUSIC_CACHE["music_dir"] = os.path.abspath(
MUSIC_CACHE["music_config"].get("music_dir", "./music") # 默认路径修改
)
@@ -219,31 +217,14 @@ async def play_local_music(conn, specific_file=None):
await send_stt_message(conn, text)
conn.dialogue.put(Message(role="assistant", content=text))
conn.tts.tts_one_sentence(conn, text)
conn.recode_first_last_text(text, 0)
future = conn.executor.submit(conn.speak_and_play, None, text, 0)
conn.tts.tts_queue.put((future, 0))
if music_path.endswith(".p3"):
opus_packets, _ = p3.decode_opus_from_file(music_path)
else:
opus_packets, _ = conn.tts.audio_to_opus_data(music_path)
conn.tts.tts_audio_queue.put(
TTSMessageDTO(
u_id=conn.u_id,
msg_type=MsgType.TTS_TEXT_RESPONSE,
content=opus_packets,
tts_finish_text="",
sentence_type=None,
duration=0,
)
)
conn.tts.tts_audio_queue.put(
TTSMessageDTO(
u_id=conn.u_id,
msg_type=MsgType.STOP_TTS_RESPONSE,
content=[],
tts_finish_text="",
sentence_type=None,
)
)
conn.recode_first_last_text(text, 1)
future = conn.executor.submit(conn.speak_and_play, music_path, None, 1)
conn.tts.tts_queue.put((future, 1))
conn.llm_finish_task = True
except Exception as e:
conn.logger.bind(tag=TAG).error(f"播放音乐失败: {str(e)}")