mirror of
https://github.com/xinnan-tech/xiaozhi-esp32-server.git
synced 2026-07-22 15:13:55 +08:00
update:旧非流失兼容改造
This commit is contained in:
@@ -8,16 +8,15 @@ import time
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import queue
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import asyncio
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import traceback
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import threading
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import websockets
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from typing import Dict, Any
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from plugins_func.loadplugins import auto_import_modules
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from config.logger import setup_logging
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from core.utils.dialogue import Message, Dialogue
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from core.providers.tts.dto.dto import ContentType, TTSMessageDTO, SentenceType
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from core.handle.textHandle import handleTextMessage
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from core.utils.util import (
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get_string_no_punctuation_or_emoji,
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extract_json_from_string,
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initialize_modules,
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check_vad_update,
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@@ -29,7 +28,6 @@ from core.handle.receiveAudioHandle import handleAudioMessage
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from core.handle.functionHandler import FunctionHandler
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from plugins_func.register import Action, ActionResponse
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from core.auth import AuthMiddleware, AuthenticationError
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from core.providers.tts.base import TTSImplementationType
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from core.mcp.manager import MCPManager
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from config.config_loader import get_private_config_from_api
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from config.manage_api_client import DeviceNotFoundException, DeviceBindException
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@@ -117,13 +115,11 @@ class ConnectionHandler:
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self.asr_server_receive = True
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# llm相关变量
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self.llm_finish_task = False
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self.llm_finish_task = True
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self.dialogue = Dialogue()
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# tts相关变量
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self.tts_first_text_index = -1
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self.tts_last_text_index = -1
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self.tts_session_id = None
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self.sentence_id = None
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# iot相关变量
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self.iot_descriptors = {}
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@@ -501,6 +497,7 @@ class ConnectionHandler:
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self.dialogue.update_system_message(self.prompt)
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def chat(self, query, tool_call=False):
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self.llm_finish_task = False
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self.logger.bind(tag=TAG).debug(f"Chat: {query}")
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if not tool_call:
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@@ -511,7 +508,6 @@ class ConnectionHandler:
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if self.intent_type == "function_call" and hasattr(self, "func_handler"):
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functions = self.func_handler.get_functions()
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response_message = []
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processed_chars = 0 # 跟踪已处理的字符位置
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try:
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# 使用带记忆的对话
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@@ -523,7 +519,7 @@ class ConnectionHandler:
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memory_str = future.result()
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uuid_str = str(uuid.uuid4()).replace("-", "")
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self.tts_session_id = uuid_str
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self.sentence_id = uuid_str
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if functions is not None:
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# 使用支持functions的streaming接口
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@@ -541,15 +537,13 @@ class ConnectionHandler:
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self.logger.bind(tag=TAG).error(f"LLM 处理出错 {query}: {e}")
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return None
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self.llm_finish_task = False
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text_index = 0
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# 处理流式响应
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tool_call_flag = False
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function_name = None
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function_id = None
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function_arguments = ""
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content_arguments = ""
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text_index = 0
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for response in llm_responses:
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if self.intent_type == "function_call":
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@@ -577,54 +571,26 @@ class ConnectionHandler:
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if content is not None and len(content) > 0:
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if not tool_call_flag:
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response_message.append(content)
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if self.client_abort:
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break
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# 处理文本分段和TTS逻辑
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# 合并当前全部文本并处理未分割部分
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full_text = "".join(response_message)
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current_text = full_text[processed_chars:] # 从未处理的位置开始
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# 查找最后一个有效标点
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punctuations = (
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"。",
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".",
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"?",
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"?",
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"!",
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"!",
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";",
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";",
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":",
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)
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last_punct_pos = -1
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number_flag = True
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for punct in punctuations:
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pos = current_text.rfind(punct)
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prev_char = current_text[pos - 1] if pos - 1 >= 0 else ""
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# 如果.前面是数字统一判断为小数
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if prev_char.isdigit() and punct == ".":
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number_flag = False
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if pos > last_punct_pos and number_flag:
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last_punct_pos = pos
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# 找到分割点则处理
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if last_punct_pos != -1:
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segment_text_raw = current_text[: last_punct_pos + 1]
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segment_text = get_string_no_punctuation_or_emoji(
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segment_text_raw
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)
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if segment_text:
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text_index += 1
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self.recode_first_last_text(segment_text, text_index)
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future = self.executor.submit(
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self.speak_and_play, None, segment_text, text_index
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if text_index == 0:
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self.tts.tts_text_queue.put(
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TTSMessageDTO(
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sentence_id=self.sentence_id,
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sentence_type=SentenceType.FIRST,
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content_type=ContentType.ACTION,
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)
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self.tts.tts_queue.put((future, text_index))
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# 更新已处理字符位置
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processed_chars += len(segment_text_raw)
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)
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self.tts.tts_text_queue.put(
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TTSMessageDTO(
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sentence_id=self.sentence_id,
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sentence_type=SentenceType.MIDDLE,
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content_type=ContentType.TEXT,
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content_detail=content,
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)
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)
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text_index += 1
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# 处理function call
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if tool_call_flag:
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bHasError = False
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@@ -667,27 +633,21 @@ class ConnectionHandler:
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result = self.func_handler.handle_llm_function_call(
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self, function_call_data
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)
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self._handle_function_result(result, function_call_data, text_index + 1)
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# 处理最后剩余的文本
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full_text = "".join(response_message)
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remaining_text = full_text[processed_chars:]
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if remaining_text:
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segment_text = get_string_no_punctuation_or_emoji(remaining_text)
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if segment_text:
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text_index += 1
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self.recode_first_last_text(segment_text, text_index)
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future = self.executor.submit(
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self.speak_and_play, None, segment_text, text_index
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)
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self.tts.tts_queue.put((future, text_index))
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self._handle_function_result(result, function_call_data)
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# 存储对话内容
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if len(response_message) > 0:
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self.dialogue.put(
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Message(role="assistant", content="".join(response_message))
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)
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if text_index > 0:
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self.tts.tts_text_queue.put(
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TTSMessageDTO(
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sentence_id=self.sentence_id,
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sentence_type=SentenceType.LAST,
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content_type=ContentType.ACTION,
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)
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)
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self.llm_finish_task = True
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self.logger.bind(tag=TAG).debug(
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json.dumps(self.dialogue.get_llm_dialogue(), indent=4, ensure_ascii=False)
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@@ -737,12 +697,10 @@ class ConnectionHandler:
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return ActionResponse(action=Action.REQLLM, result="工具调用出错", response="")
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def _handle_function_result(self, result, function_call_data, text_index):
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def _handle_function_result(self, result, function_call_data):
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if result.action == Action.RESPONSE: # 直接回复前端
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text = result.response
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self.recode_first_last_text(text, text_index)
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future = self.executor.submit(self.speak_and_play, None, text, text_index)
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self.tts.tts_queue.put((future, text_index))
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self.tts.tts_one_sentence(self, ContentType.TEXT, content_detail=text)
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self.dialogue.put(Message(role="assistant", content=text))
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elif result.action == Action.REQLLM: # 调用函数后再请求llm生成回复
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text = result.result
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@@ -779,9 +737,7 @@ class ConnectionHandler:
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self.chat(text, tool_call=True)
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elif result.action == Action.NOTFOUND or result.action == Action.ERROR:
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text = result.result
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self.recode_first_last_text(text, text_index)
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future = self.executor.submit(self.speak_and_play, None, text, text_index)
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self.tts.tts_queue.put((future, text_index))
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self.tts.tts_one_sentence(self, ContentType.TEXT, content_detail=text)
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self.dialogue.put(Message(role="assistant", content=text))
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else:
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pass
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@@ -812,33 +768,9 @@ class ConnectionHandler:
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self.logger.bind(tag=TAG).info("聊天记录上报线程已退出")
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def speak_and_play(self, file_path, content, text_index=0):
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if file_path is not None:
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self.logger.bind(tag=TAG).info(f"无需tts转换: 从文件播放,{file_path}")
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return file_path, content, text_index
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if content is None or len(content) <= 0:
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self.logger.bind(tag=TAG).info(f"无需tts转换,query为空,{content}")
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return None, content, text_index
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tts_file = self.tts.to_tts(content, text_index)
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if tts_file is None:
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self.logger.bind(tag=TAG).error(f"tts转换失败,{content}")
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return None, content, text_index
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self.logger.bind(tag=TAG).debug(f"TTS 文件生成完毕: {tts_file}")
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if self.max_output_size > 0:
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add_device_output(self.headers.get("device-id"), len(content))
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return tts_file, content, text_index
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def clearSpeakStatus(self):
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self.logger.bind(tag=TAG).debug(f"清除服务端讲话状态")
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self.asr_server_receive = True
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self.tts_last_text_index = -1
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self.tts_first_text_index = -1
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def recode_first_last_text(self, text, text_index=0):
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if self.tts_first_text_index == -1:
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self.logger.bind(tag=TAG).info(f"大模型说出第一句话: {text}")
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self.tts_first_text_index = text_index
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self.tts_last_text_index = text_index
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async def close(self, ws=None):
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"""资源清理方法"""
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@@ -875,11 +807,11 @@ class ConnectionHandler:
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def clear_queues(self):
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"""清空所有任务队列"""
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self.logger.bind(tag=TAG).debug(
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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()}"
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f"开始清理: TTS队列大小={self.tts.tts_text_queue.qsize()}, 音频队列大小={self.tts.tts_audio_queue.qsize()}"
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)
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# 使用非阻塞方式清空队列
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for q in [self.tts.tts_queue, self.tts.audio_play_queue]:
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for q in [self.tts.tts_text_queue, self.tts.tts_audio_queue]:
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if not q:
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continue
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while True:
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@@ -889,7 +821,7 @@ class ConnectionHandler:
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break
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self.logger.bind(tag=TAG).debug(
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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()}"
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f"清理结束: TTS队列大小={self.tts.tts_text_queue.qsize()}, 音频队列大小={self.tts.tts_audio_queue.qsize()}"
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)
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def reset_vad_states(self):
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@@ -44,9 +44,6 @@ async def checkWakeupWords(conn, text):
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_, filtered_text = remove_punctuation_and_length(text)
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if filtered_text in conn.config.get("wakeup_words"):
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await send_stt_message(conn, text)
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conn.tts_first_text_index = 0
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conn.tts_last_text_index = 0
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conn.llm_finish_task = True
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file = getWakeupWordFile(WAKEUP_CONFIG["file_name"])
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if file is None:
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@@ -56,7 +53,7 @@ async def checkWakeupWords(conn, text):
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text_hello = WAKEUP_CONFIG["text"]
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if not text_hello:
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text_hello = text
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conn.tts.audio_play_queue.put((opus_packets, text_hello, 0))
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conn.tts.tts_audio_queue.put((opus_packets, text_hello, 0))
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if time.time() - WAKEUP_CONFIG["create_time"] > WAKEUP_CONFIG["refresh_time"]:
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asyncio.create_task(wakeupWordsResponse(conn))
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return True
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@@ -91,7 +88,7 @@ async def wakeupWordsResponse(conn):
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result = conn.llm.response_no_stream(conn.config["prompt"], wakeup_word)
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if result is None or result == "":
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return
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tts_file = await asyncio.to_thread(conn.tts.to_tts, result, 0)
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tts_file = await asyncio.to_thread(conn.tts.to_tts, result)
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if tts_file is not None and os.path.exists(tts_file):
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file_type = os.path.splitext(tts_file)[1]
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@@ -4,6 +4,7 @@ import uuid
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from core.handle.sendAudioHandle import send_stt_message
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from core.handle.helloHandle import checkWakeupWords
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from core.utils.util import remove_punctuation_and_length
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from core.providers.tts.dto.dto import ContentType
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from core.utils.dialogue import Message
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from plugins_func.register import Action
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from loguru import logger
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@@ -143,11 +144,4 @@ async def process_intent_result(conn, intent_result, original_text):
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def speak_txt(conn, text):
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text_index = (
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conn.tts_last_text_index + 1 if hasattr(conn, "tts_last_text_index") else 0
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)
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conn.recode_first_last_text(text, text_index)
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future = conn.executor.submit(conn.speak_and_play, None, text, text_index)
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conn.llm_finish_task = True
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conn.tts_queue.put((future, text_index))
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conn.dialogue.put(Message(role="assistant", content=text))
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conn.tts.tts_one_sentence(conn, ContentType.TEXT, content_detail=text)
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@@ -110,12 +110,9 @@ async def no_voice_close_connect(conn):
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async def max_out_size(conn):
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text = "不好意思,我现在有点事情要忙,明天这个时候我们再聊,约好了哦!明天不见不散,拜拜!"
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await send_stt_message(conn, text)
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conn.tts_first_text_index = 0
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conn.tts_last_text_index = 0
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conn.llm_finish_task = True
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file_path = "config/assets/max_output_size.wav"
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opus_packets, _ = audio_to_data(file_path)
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conn.tts.audio_play_queue.put((opus_packets, text, 0))
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conn.tts.tts_audio_queue.put((opus_packets, text, 0))
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conn.close_after_chat = True
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@@ -130,14 +127,11 @@ async def check_bind_device(conn):
|
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text = f"请登录控制面板,输入{conn.bind_code},绑定设备。"
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await send_stt_message(conn, text)
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conn.tts_first_text_index = 0
|
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conn.tts_last_text_index = 6
|
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conn.llm_finish_task = True
|
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|
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# 播放提示音
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music_path = "config/assets/bind_code.wav"
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opus_packets, _ = audio_to_data(music_path)
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conn.tts.audio_play_queue.put((opus_packets, text, 0))
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conn.tts.tts_audio_queue.put((opus_packets, text, 0))
|
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|
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# 逐个播放数字
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for i in range(6): # 确保只播放6位数字
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@@ -145,16 +139,13 @@ async def check_bind_device(conn):
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digit = conn.bind_code[i]
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num_path = f"config/assets/bind_code/{digit}.wav"
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num_packets, _ = audio_to_data(num_path)
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conn.tts.audio_play_queue.put((num_packets, None, i + 1))
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conn.tts.tts_audio_queue.put((num_packets, None, i + 1))
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except Exception as e:
|
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conn.logger.bind(tag=TAG).error(f"播放数字音频失败: {e}")
|
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continue
|
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else:
|
||||
text = f"没有找到该设备的版本信息,请正确配置 OTA地址,然后重新编译固件。"
|
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await send_stt_message(conn, text)
|
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conn.tts_first_text_index = 0
|
||||
conn.tts_last_text_index = 0
|
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conn.llm_finish_task = True
|
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music_path = "config/assets/bind_not_found.wav"
|
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opus_packets, _ = audio_to_data(music_path)
|
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conn.tts.audio_play_queue.put((opus_packets, text, 0))
|
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conn.tts.tts_audio_queue.put((opus_packets, text, 0))
|
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@@ -1,6 +1,7 @@
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import json
|
||||
import asyncio
|
||||
import time
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from core.providers.tts.dto.dto import SentenceType
|
||||
from core.utils.util import get_string_no_punctuation_or_emoji, analyze_emotion
|
||||
|
||||
TAG = __name__
|
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@@ -30,7 +31,7 @@ emoji_map = {
|
||||
}
|
||||
|
||||
|
||||
async def sendAudioMessage(conn, audios, text, text_index=0):
|
||||
async def sendAudioMessage(conn, sentenceType, audios, text):
|
||||
# 发送句子开始消息
|
||||
if text is not None:
|
||||
emotion = analyze_emotion(text)
|
||||
@@ -46,25 +47,24 @@ async def sendAudioMessage(conn, audios, text, text_index=0):
|
||||
)
|
||||
)
|
||||
|
||||
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 sendAudio(conn, audios, True)
|
||||
|
||||
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:
|
||||
if conn.llm_finish_task and sentenceType == SentenceType.LAST:
|
||||
await send_tts_message(conn, "stop", None)
|
||||
await conn.tts.finish_session(conn.tts_session_id)
|
||||
await conn.tts.finish_session(conn.sentence_id)
|
||||
if conn.close_after_chat:
|
||||
await conn.close()
|
||||
|
||||
|
||||
# 播放音频
|
||||
async def sendAudio(conn, audios, pre_buffer=True):
|
||||
if audios is None or len(audios) == 0:
|
||||
return
|
||||
# 流控参数优化
|
||||
frame_duration = 60 # 帧时长(毫秒),匹配 Opus 编码
|
||||
start_time = time.perf_counter()
|
||||
|
||||
@@ -2,12 +2,12 @@ import asyncio
|
||||
from config.logger import setup_logging
|
||||
import queue
|
||||
import os
|
||||
import json
|
||||
import uuid
|
||||
import threading
|
||||
from enum import Enum
|
||||
from core.utils import p3
|
||||
from core.utils import textUtils
|
||||
from core.handle.sendAudioHandle import sendAudioMessage
|
||||
from core.handle.reportHandle import enqueue_tts_report
|
||||
from core.providers.tts.dto.dto import TTSMessageDTO, SentenceType, ContentType
|
||||
from abc import ABC, abstractmethod
|
||||
from core.utils.tts import MarkdownCleaner
|
||||
from core.utils.util import audio_to_data
|
||||
@@ -16,30 +16,39 @@ TAG = __name__
|
||||
logger = setup_logging()
|
||||
|
||||
|
||||
class TTSImplementationType(Enum):
|
||||
"""TTS实现类型枚举"""
|
||||
|
||||
NON_STREAMING = "non_streaming" # 非流式实现
|
||||
SINGLE_STREAMING = "single_streaming" # 单流式实现
|
||||
DOUBLE_STREAMING = "double_streaming" # 双流式实现
|
||||
|
||||
|
||||
class TTSProviderBase(ABC):
|
||||
def __init__(self, config, delete_audio_file):
|
||||
self.conn = None
|
||||
self.tts_timeout = 10
|
||||
self.delete_audio_file = delete_audio_file
|
||||
self.output_file = config.get("output_dir")
|
||||
self.tts_queue = queue.Queue()
|
||||
self.audio_play_queue = queue.Queue()
|
||||
# 添加实现类型属性,默认为非流式
|
||||
self.interface_type = TTSImplementationType.NON_STREAMING
|
||||
self.tts_text_queue = queue.Queue()
|
||||
self.tts_audio_queue = queue.Queue()
|
||||
self.stop_event = threading.Event()
|
||||
self.loop = asyncio.get_event_loop()
|
||||
|
||||
self.tts_text_buff = []
|
||||
self.punctuations = (
|
||||
"。",
|
||||
".",
|
||||
"?",
|
||||
"?",
|
||||
"!",
|
||||
"!",
|
||||
";",
|
||||
";",
|
||||
":",
|
||||
)
|
||||
self.first_sentence_punctuations = (",", ",")
|
||||
self.tts_stop_request = False
|
||||
self.processed_chars = 0
|
||||
self.is_first_sentence = True
|
||||
|
||||
@abstractmethod
|
||||
def generate_filename(self):
|
||||
pass
|
||||
|
||||
def to_tts(self, text, index):
|
||||
def to_tts(self, text):
|
||||
tmp_file = self.generate_filename()
|
||||
try:
|
||||
max_repeat_time = 5
|
||||
@@ -82,12 +91,51 @@ class TTSProviderBase(ABC):
|
||||
"""音频文件转换为Opus编码"""
|
||||
return audio_to_data(audio_file_path, is_opus=True)
|
||||
|
||||
def tts_one_sentence(
|
||||
self,
|
||||
conn,
|
||||
content_type,
|
||||
content_detail=None,
|
||||
content_file=None,
|
||||
sentence_id=None,
|
||||
):
|
||||
"""发送一句话"""
|
||||
if not sentence_id:
|
||||
if conn.sentence_id:
|
||||
sentence_id = conn.sentence_id
|
||||
else:
|
||||
sentence_id = str(uuid.uuid4()).replace("-", "")
|
||||
conn.sentence_id = sentence_id
|
||||
self.tts_text_queue.put(
|
||||
TTSMessageDTO(
|
||||
sentence_id=sentence_id,
|
||||
sentence_type=SentenceType.FIRST,
|
||||
content_type=ContentType.ACTION,
|
||||
)
|
||||
)
|
||||
self.tts_text_queue.put(
|
||||
TTSMessageDTO(
|
||||
sentence_id=sentence_id,
|
||||
sentence_type=SentenceType.MIDDLE,
|
||||
content_type=content_type,
|
||||
content_detail=content_detail,
|
||||
content_file=content_file,
|
||||
)
|
||||
)
|
||||
self.tts_text_queue.put(
|
||||
TTSMessageDTO(
|
||||
sentence_id=sentence_id,
|
||||
sentence_type=SentenceType.LAST,
|
||||
content_type=ContentType.ACTION,
|
||||
)
|
||||
)
|
||||
|
||||
async def open_audio_channels(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
|
||||
target=self._tts_text_priority_thread, daemon=True
|
||||
)
|
||||
self.tts_priority_thread.start()
|
||||
|
||||
@@ -97,113 +145,60 @@ class TTSProviderBase(ABC):
|
||||
)
|
||||
self.audio_play_priority_thread.start()
|
||||
|
||||
def _tts_priority_thread(self):
|
||||
while not self.conn.stop_event.is_set():
|
||||
text = None
|
||||
# 这里默认是非流式的处理方式
|
||||
# 流式处理方式请在子类中重写
|
||||
def _tts_text_priority_thread(self):
|
||||
while not self.stop_event.is_set():
|
||||
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)
|
||||
|
||||
# 如果tts_file返回流式标识,则不继续处理
|
||||
if tts_file is None:
|
||||
logger.bind(tag=TAG).error(
|
||||
f"TTS出错: file is empty: {text_index}: {text}"
|
||||
message = self.tts_text_queue.get()
|
||||
if message.sentence_type == SentenceType.FIRST:
|
||||
# 初始化参数
|
||||
self.tts_stop_request = False
|
||||
self.processed_chars = 0
|
||||
self.tts_text_buff = []
|
||||
self.is_first_sentence = True
|
||||
elif ContentType.TEXT == message.content_type:
|
||||
self.tts_text_buff.append(message.content_detail)
|
||||
segment_text = self._get_segment_text()
|
||||
if segment_text:
|
||||
tts_file = self.to_tts(segment_text)
|
||||
audio_datas = self._process_audio_file(tts_file)
|
||||
self.tts_audio_queue.put(
|
||||
(message.sentence_type, audio_datas, segment_text)
|
||||
)
|
||||
elif (
|
||||
tts_file == TTSImplementationType.SINGLE_STREAMING.value
|
||||
or tts_file == TTSImplementationType.DOUBLE_STREAMING.value
|
||||
):
|
||||
logger.bind(tag=TAG).debug(f"TTS生成:流式标识: {tts_file}")
|
||||
continue
|
||||
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:
|
||||
import traceback
|
||||
elif ContentType.FILE == message.content_type:
|
||||
self._process_remaining_text()
|
||||
|
||||
error_info = {
|
||||
"error_type": type(e).__name__,
|
||||
"error_message": str(e),
|
||||
"stack_trace": traceback.format_exc(),
|
||||
"text_index": text_index,
|
||||
"text": text,
|
||||
"tts_file": tts_file,
|
||||
"audio_format": getattr(self.conn, "audio_format", None),
|
||||
"interface_type": self.interface_type.value,
|
||||
}
|
||||
logger.bind(tag=TAG).error(
|
||||
f"TTS处理出错: {json.dumps(error_info, ensure_ascii=False)}"
|
||||
tts_file = message.content_file
|
||||
audio_datas = self._process_audio_file(tts_file)
|
||||
self.tts_audio_queue.put(
|
||||
(message.sentence_type, audio_datas, message.content_detail)
|
||||
)
|
||||
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)
|
||||
if message.sentence_type == SentenceType.LAST:
|
||||
self._process_remaining_text()
|
||||
|
||||
self.tts_audio_queue.put(
|
||||
(message.sentence_type, [], message.content_detail)
|
||||
)
|
||||
|
||||
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.conn.session_id,
|
||||
}
|
||||
)
|
||||
),
|
||||
self.conn.loop,
|
||||
)
|
||||
logger.bind(tag=TAG).error(f"tts_priority priority_thread: {text} {e}")
|
||||
logger.bind(tag=TAG).error(f"Failed to process TTS text: {e}")
|
||||
|
||||
def _audio_play_priority_thread(self):
|
||||
while not self.conn.stop_event.is_set():
|
||||
while not self.stop_event.is_set():
|
||||
text = None
|
||||
try:
|
||||
try:
|
||||
audio_datas, text, text_index = self.audio_play_queue.get(timeout=1)
|
||||
sentence_type, audio_datas, text = self.tts_audio_queue.get(
|
||||
timeout=1
|
||||
)
|
||||
except queue.Empty:
|
||||
if self.conn.stop_event.is_set():
|
||||
if self.stop_event.is_set():
|
||||
break
|
||||
continue
|
||||
future = asyncio.run_coroutine_threadsafe(
|
||||
sendAudioMessage(self.conn, audio_datas, text, text_index),
|
||||
self.conn.loop,
|
||||
sendAudioMessage(self.conn, sentence_type, audio_datas, text),
|
||||
self.loop,
|
||||
)
|
||||
future.result()
|
||||
except Exception as e:
|
||||
@@ -221,3 +216,81 @@ class TTSProviderBase(ABC):
|
||||
"""资源清理方法"""
|
||||
if hasattr(self, "ws") and self.ws:
|
||||
await self.ws.close()
|
||||
|
||||
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
|
||||
|
||||
# 根据是否是第一句话选择不同的标点符号集合
|
||||
punctuations_to_use = (
|
||||
self.first_sentence_punctuations
|
||||
if self.is_first_sentence
|
||||
else self.punctuations
|
||||
)
|
||||
|
||||
for punct in punctuations_to_use:
|
||||
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
|
||||
|
||||
# 如果是第一句话,在找到第一个逗号后,将标志设置为False
|
||||
if self.is_first_sentence:
|
||||
self.is_first_sentence = False
|
||||
|
||||
return segment_text
|
||||
elif self.tts_stop_request and current_text:
|
||||
segment_text = current_text
|
||||
self.is_first_sentence = True # 重置标志
|
||||
return segment_text
|
||||
else:
|
||||
return None
|
||||
|
||||
def _process_audio_file(self, tts_file):
|
||||
"""处理音频文件并转换为指定格式
|
||||
|
||||
Args:
|
||||
tts_file: 音频文件路径
|
||||
content_detail: 内容详情
|
||||
|
||||
Returns:
|
||||
tuple: (sentence_type, audio_datas, content_detail)
|
||||
"""
|
||||
audio_datas = []
|
||||
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)
|
||||
return audio_datas
|
||||
|
||||
def _process_remaining_text(self):
|
||||
"""处理剩余的文本并生成语音
|
||||
|
||||
Returns:
|
||||
bool: 是否成功处理了文本
|
||||
"""
|
||||
full_text = "".join(self.tts_text_buff)
|
||||
remaining_text = full_text[self.processed_chars :]
|
||||
if remaining_text:
|
||||
segment_text = textUtils.get_string_no_punctuation_or_emoji(remaining_text)
|
||||
if segment_text:
|
||||
tts_file = self.to_tts(segment_text)
|
||||
audio_datas = self._process_audio_file(tts_file)
|
||||
self.tts_audio_queue.put(
|
||||
(SentenceType.MIDDLE, audio_datas, segment_text)
|
||||
)
|
||||
self.processed_chars += len(full_text)
|
||||
return True
|
||||
return False
|
||||
|
||||
@@ -0,0 +1,36 @@
|
||||
from enum import Enum
|
||||
from typing import Union, Optional
|
||||
|
||||
|
||||
class SentenceType(Enum):
|
||||
# 说话阶段
|
||||
FIRST = "FIRST" # 首句话
|
||||
MIDDLE = "MIDDLE" # 说话中
|
||||
LAST = "LAST" # 最后一句
|
||||
|
||||
|
||||
class ContentType(Enum):
|
||||
# 内容类型
|
||||
TEXT = "TEXT" # 文本内容
|
||||
FILE = "FILE" # 文件内容
|
||||
ACTION = "ACTION" # 动作内容
|
||||
|
||||
|
||||
class TTSMessageDTO:
|
||||
def __init__(
|
||||
self,
|
||||
sentence_id: str,
|
||||
# 说话阶段
|
||||
sentence_type: SentenceType,
|
||||
# 内容类型
|
||||
content_type: ContentType,
|
||||
# 内容详情,一般是需要转换的文本或者音频的歌词
|
||||
content_detail: Optional[str] = None,
|
||||
# 如果内容类型为文件,则需要传入文件路径
|
||||
content_file: Optional[str] = None,
|
||||
):
|
||||
self.sentence_id = sentence_id
|
||||
self.sentence_type = sentence_type
|
||||
self.content_type = content_type
|
||||
self.content_detail = content_detail
|
||||
self.content_file = content_file
|
||||
@@ -7,7 +7,7 @@ import json
|
||||
import websockets
|
||||
from datetime import datetime
|
||||
from config.logger import setup_logging
|
||||
from core.providers.tts.base import TTSProviderBase, TTSImplementationType
|
||||
from core.providers.tts.base import TTSProviderBase
|
||||
from core.utils.util import pcm_to_data
|
||||
|
||||
TAG = __name__
|
||||
@@ -149,7 +149,6 @@ class TTSProvider(TTSProviderBase):
|
||||
self.enable_two_way = True
|
||||
self.start_connection_flag = False
|
||||
self.tts_text = ""
|
||||
self.interface_type = TTSImplementationType.DOUBLE_STREAMING
|
||||
|
||||
async def open_audio_channels(self, conn):
|
||||
await super().open_audio_channels(conn)
|
||||
@@ -173,17 +172,21 @@ class TTSProvider(TTSProviderBase):
|
||||
f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}",
|
||||
)
|
||||
|
||||
def to_tts(self, text, index):
|
||||
if index == self.conn.tts_first_text_index:
|
||||
future = asyncio.run_coroutine_threadsafe(
|
||||
self.start_session(self.conn.tts_session_id), loop=self.conn.loop
|
||||
)
|
||||
future.result()
|
||||
def to_tts(self, text):
|
||||
future = asyncio.run_coroutine_threadsafe(
|
||||
self.text_to_speak(text, None), loop=self.conn.loop
|
||||
self.start_session(self.conn.sentence_id), loop=self.loop
|
||||
)
|
||||
future.result()
|
||||
future = asyncio.run_coroutine_threadsafe(
|
||||
self.text_to_speak(text, None), loop=self.loop
|
||||
)
|
||||
future.result()
|
||||
future = asyncio.run_coroutine_threadsafe(
|
||||
self.finish_session(self.conn.sentence_id), loop=self.loop
|
||||
)
|
||||
future.result()
|
||||
return self.interface_type.value
|
||||
|
||||
async def send_event(
|
||||
self, header: bytes, optional: bytes | None = None, payload: bytes = None
|
||||
):
|
||||
@@ -341,6 +344,7 @@ class TTSProvider(TTSProviderBase):
|
||||
logger.bind(tag=TAG).info(f"会话开始~~{session_id}")
|
||||
|
||||
async def finish_session(self, session_id):
|
||||
logger.bind(tag=TAG).info(f"会话结束~~{session_id}")
|
||||
self.stop_event_response.set()
|
||||
header = Header(
|
||||
message_type=FULL_CLIENT_REQUEST,
|
||||
@@ -369,19 +373,18 @@ class TTSProvider(TTSProviderBase):
|
||||
|
||||
async def text_to_speak(self, text, _):
|
||||
# 发送文本
|
||||
await self.send_text(self.speaker, text, self.conn.tts_session_id)
|
||||
await self.send_text(self.speaker, text, self.conn.sentence_id)
|
||||
logger.bind(tag=TAG).info(f"发送文本~~{text}")
|
||||
return
|
||||
|
||||
def _start_monitor_tts_response_thread(self):
|
||||
# 初始化链接
|
||||
asyncio.run_coroutine_threadsafe(
|
||||
self._start_monitor_tts_response(), loop=self.conn.loop
|
||||
self._start_monitor_tts_response(), loop=self.loop
|
||||
)
|
||||
|
||||
async def _start_monitor_tts_response(self):
|
||||
chunk_total = b""
|
||||
while not self.conn.stop_event.is_set():
|
||||
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)
|
||||
@@ -396,20 +399,19 @@ class TTSProvider(TTSProviderBase):
|
||||
logger.bind(tag=TAG).info(
|
||||
f"推送数据到队列里面帧数~~{len(opus_datas)}"
|
||||
)
|
||||
self.audio_play_queue.put(
|
||||
self.tts_audio_queue.put(
|
||||
(opus_datas, None, self.conn.tts_last_text_index - 1)
|
||||
)
|
||||
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.audio_play_queue.put(
|
||||
self.tts_audio_queue.put(
|
||||
([], self.tts_text, self.conn.tts_first_text_index)
|
||||
)
|
||||
|
||||
elif res.optional.event == EVENT_TTSSentenceEnd:
|
||||
logger.bind(tag=TAG).info(f"句子结束~~{self.tts_text}")
|
||||
self.audio_play_queue.put(
|
||||
self.tts_audio_queue.put(
|
||||
([], self.tts_text, self.conn.tts_last_text_index)
|
||||
)
|
||||
elif res.optional.event == EVENT_SessionFinished:
|
||||
|
||||
@@ -0,0 +1,34 @@
|
||||
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)
|
||||
@@ -11,6 +11,7 @@ from core.utils import p3
|
||||
from core.handle.sendAudioHandle import send_stt_message
|
||||
from plugins_func.register import register_function, ToolType, ActionResponse, Action
|
||||
from core.utils.dialogue import Message
|
||||
from core.providers.tts.dto.dto import TTSMessageDTO, SentenceType, ContentType
|
||||
|
||||
TAG = __name__
|
||||
|
||||
@@ -217,14 +218,36 @@ async def play_local_music(conn, specific_file=None):
|
||||
await send_stt_message(conn, text)
|
||||
conn.dialogue.put(Message(role="assistant", content=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))
|
||||
|
||||
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
|
||||
conn.tts.tts_text_queue.put(
|
||||
TTSMessageDTO(
|
||||
sentence_id=conn.sentence_id,
|
||||
sentence_type=SentenceType.FIRST,
|
||||
content_type=ContentType.ACTION,
|
||||
)
|
||||
)
|
||||
conn.tts.tts_text_queue.put(
|
||||
TTSMessageDTO(
|
||||
sentence_id=conn.sentence_id,
|
||||
sentence_type=SentenceType.MIDDLE,
|
||||
content_type=ContentType.TEXT,
|
||||
content_detail=text,
|
||||
)
|
||||
)
|
||||
conn.tts.tts_text_queue.put(
|
||||
TTSMessageDTO(
|
||||
sentence_id=conn.sentence_id,
|
||||
sentence_type=SentenceType.MIDDLE,
|
||||
content_type=ContentType.FILE,
|
||||
content_file=music_path,
|
||||
)
|
||||
)
|
||||
conn.tts.tts_text_queue.put(
|
||||
TTSMessageDTO(
|
||||
sentence_id=conn.sentence_id,
|
||||
sentence_type=SentenceType.LAST,
|
||||
content_type=ContentType.ACTION,
|
||||
)
|
||||
)
|
||||
|
||||
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