mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
synced 2026-07-22 07:03:53 +08:00
update:优化
This commit is contained in:
@@ -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
|
||||
|
||||
@@ -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}")
|
||||
|
||||
@@ -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}次"
|
||||
)
|
||||
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})"
|
||||
@@ -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}")
|
||||
@@ -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)}")
|
||||
|
||||
Reference in New Issue
Block a user