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xiaozhi-esp32-server/main/xiaozhi-server/core/handle/helloHandle.py
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import time
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import json
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import random
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import asyncio
from core.utils.dialogue import Message
from core.utils.util import audio_to_data
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from core.handle.sendAudioHandle import sendAudioMessage, send_stt_message
from core.utils.util import remove_punctuation_and_length, opus_datas_to_wav_bytes
from core.providers.tts.dto.dto import ContentType, SentenceType
from core.handle.mcpHandle import (
MCPClient,
send_mcp_initialize_message,
send_mcp_tools_list_request,
)
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from core.utils.wakeup_word import WakeupWordsConfig
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TAG = __name__
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WAKEUP_CONFIG = {
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"refresh_time": 5,
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"words": ["你好", "你好啊", "嘿,你好", "嗨"],
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}
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# 创建全局的唤醒词配置管理器
wakeup_words_config = WakeupWordsConfig()
# 用于防止并发调用wakeupWordsResponse的锁
_wakeup_response_lock = asyncio.Lock()
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async def handleHelloMessage(conn, msg_json):
"""处理hello消息"""
audio_params = msg_json.get("audio_params")
if audio_params:
format = audio_params.get("format")
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conn.logger.bind(tag=TAG).info(f"客户端音频格式: {format}")
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conn.audio_format = format
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conn.welcome_msg["audio_params"] = audio_params
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features = msg_json.get("features")
if features:
conn.logger.bind(tag=TAG).info(f"客户端特性: {features}")
conn.features = features
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if features.get("mcp"):
conn.logger.bind(tag=TAG).info("客户端支持MCP")
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conn.mcp_client = MCPClient()
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# 发送初始化
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asyncio.create_task(send_mcp_initialize_message(conn))
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# 发送mcp消息,获取tools列表
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asyncio.create_task(send_mcp_tools_list_request(conn))
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await conn.websocket.send(json.dumps(conn.welcome_msg))
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async def checkWakeupWords(conn, text):
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enable_wakeup_words_response_cache = conn.config[
"enable_wakeup_words_response_cache"
]
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if not enable_wakeup_words_response_cache or not conn.tts:
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return False
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_, filtered_text = remove_punctuation_and_length(text)
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if filtered_text not in conn.config.get("wakeup_words"):
return False
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conn.just_woken_up = True
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await send_stt_message(conn, text)
# 获取当前音色
voice = getattr(conn.tts, "voice", "default")
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if not voice:
voice = "default"
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# 获取唤醒词回复配置
response = wakeup_words_config.get_wakeup_response(voice)
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if not response or not response.get("file_path"):
response = {
"voice": "default",
"file_path": "config/assets/wakeup_words.wav",
"time": 0,
"text": "哈啰啊,我是小智啦,声音好听的台湾女孩一枚,超开心认识你耶,最近在忙啥,别忘了给我来点有趣的料哦,我超爱听八卦的啦",
}
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# 播放唤醒词回复
conn.client_abort = False
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opus_packets, _ = audio_to_data(response.get("file_path"))
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conn.logger.bind(tag=TAG).info(f"播放唤醒词回复: {response.get('text')}")
await sendAudioMessage(conn, SentenceType.FIRST, opus_packets, response.get("text"))
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await sendAudioMessage(conn, SentenceType.LAST, [], None)
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# 补充对话
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conn.dialogue.put(Message(role="assistant", content=response.get("text")))
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# 检查是否需要更新唤醒词回复
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if time.time() - response.get("time", 0) > WAKEUP_CONFIG["refresh_time"]:
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if not _wakeup_response_lock.locked():
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asyncio.create_task(wakeupWordsResponse(conn))
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return True
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async def wakeupWordsResponse(conn):
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if not conn.tts or not conn.llm or not conn.llm.response_no_stream:
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return
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try:
# 尝试获取锁,如果获取不到就返回
if not await _wakeup_response_lock.acquire():
return
# 生成唤醒词回复
wakeup_word = random.choice(WAKEUP_CONFIG["words"])
question = (
"此刻用户正在和你说```"
+ wakeup_word
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+ "```。\n请你根据以上用户的内容进行20-30字回复。要符合系统设置的角色情感和态度,不要像机器人一样说话。\n"
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+ "请勿对这条内容本身进行任何解释和回应,请勿返回表情符号,仅返回对用户的内容的回复。"
)
result = conn.llm.response_no_stream(conn.config["prompt"], question)
if not result or len(result) == 0:
return
# 生成TTS音频
tts_result = await asyncio.to_thread(conn.tts.to_tts, result)
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if not tts_result:
return
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# 获取当前音色
voice = getattr(conn.tts, "voice", "default")
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wav_bytes = opus_datas_to_wav_bytes(tts_result, sample_rate=16000)
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file_path = wakeup_words_config.generate_file_path(voice)
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with open(file_path, "wb") as f:
f.write(wav_bytes)
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# 更新配置
wakeup_words_config.update_wakeup_response(voice, file_path, result)
finally:
# 确保在任何情况下都释放锁
if _wakeup_response_lock.locked():
_wakeup_response_lock.release()