Files
xiaozhi-esp32-server/main/xiaozhi-server/core/handle/sendAudioHandle.py
T

259 lines
8.7 KiB
Python

import json
import time
import asyncio
from core.utils import textUtils
from core.utils.util import audio_to_data
from core.providers.tts.dto.dto import SentenceType
from core.utils.audioRateController import AudioRateController
TAG = __name__
async def sendAudioMessage(conn, sentenceType, audios, text):
if conn.tts.tts_audio_first_sentence:
conn.logger.bind(tag=TAG).info(f"发送第一段语音: {text}")
conn.tts.tts_audio_first_sentence = False
await send_tts_message(conn, "start", None)
if sentenceType == SentenceType.FIRST:
await send_tts_message(conn, "sentence_start", text)
await sendAudio(conn, audios)
# 发送句子开始消息
if sentenceType is not SentenceType.MIDDLE:
conn.logger.bind(tag=TAG).info(f"发送音频消息: {sentenceType}, {text}")
# 发送结束消息(如果是最后一个文本)
if sentenceType == SentenceType.LAST:
await send_tts_message(conn, "stop", None)
conn.client_is_speaking = False
if conn.close_after_chat:
await conn.close()
async def _send_to_mqtt_gateway(conn, opus_packet, timestamp, sequence):
"""
发送带16字节头部的opus数据包给mqtt_gateway
Args:
conn: 连接对象
opus_packet: opus数据包
timestamp: 时间戳
sequence: 序列号
"""
# 为opus数据包添加16字节头部
header = bytearray(16)
header[0] = 1 # type
header[2:4] = len(opus_packet).to_bytes(2, "big") # payload length
header[4:8] = sequence.to_bytes(4, "big") # sequence
header[8:12] = timestamp.to_bytes(4, "big") # 时间戳
header[12:16] = len(opus_packet).to_bytes(4, "big") # opus长度
# 发送包含头部的完整数据包
complete_packet = bytes(header) + opus_packet
await conn.websocket.send(complete_packet)
# 播放音频 - 使用 AudioRateController 进行精确流控
async def sendAudio(conn, audios, frame_duration=60):
"""
发送音频包,使用 AudioRateController 进行精确的流量控制
Args:
conn: 连接对象
audios: 单个opus包(bytes) 或 opus包列表
frame_duration: 帧时长(毫秒),默认60ms
改进点:
1. 使用单一时间基准,避免累积误差
2. 每次检查队列时重新计算 elapsed_ms,更精准
3. 支持高并发而不产生时间偏差
"""
if audios is None or len(audios) == 0:
return
# 获取发送延迟配置
send_delay = conn.config.get("tts_audio_send_delay", -1) / 1000.0
if isinstance(audios, bytes):
# 单个 opus 包处理
await _sendAudio_single(conn, audios, send_delay, frame_duration)
else:
# 音频列表处理(如文件型音频)
await _sendAudio_list(conn, audios, send_delay, frame_duration)
async def _sendAudio_single(conn, opus_packet, send_delay, frame_duration=60):
"""
发送单个 opus 包
使用 AudioRateController 进行流控
"""
# 重置流控状态,第一次读取和会话发生转变时
if not hasattr(conn, "audio_rate_controller") or conn.audio_flow_control.get("sentence_id") != conn.sentence_id:
if hasattr(conn, "audio_rate_controller"):
conn.audio_rate_controller.reset()
else:
conn.audio_rate_controller = AudioRateController(frame_duration)
conn.audio_rate_controller.reset()
conn.audio_flow_control = {
"packet_count": 0,
"sequence": 0,
"sentence_id": conn.sentence_id,
}
if conn.client_abort:
return
conn.last_activity_time = time.time() * 1000
rate_controller = conn.audio_rate_controller
flow_control = conn.audio_flow_control
packet_count = flow_control["packet_count"]
# 预缓冲:前5个包直接发送,不做延迟
pre_buffer_count = 5
if packet_count < pre_buffer_count or send_delay > 0:
# 预缓冲阶段或固定延迟模式,直接发送
await _do_send_audio(conn, opus_packet, flow_control, frame_duration)
if send_delay > 0 and packet_count >= pre_buffer_count:
await asyncio.sleep(send_delay)
else:
# 使用流控器进行精确的速率控制
rate_controller.add_audio(opus_packet)
async def send_callback(packet):
await _do_send_audio(conn, packet, flow_control, frame_duration)
await rate_controller.check_queue(send_callback)
# 更新流控状态
flow_control["packet_count"] += 1
flow_control["sequence"] += 1
async def _sendAudio_list(conn, audios, send_delay, frame_duration=60):
"""
发送音频列表(如文件型音频)
"""
if not audios:
return
rate_controller = AudioRateController(frame_duration)
rate_controller.reset()
flow_control = {
"packet_count": 0,
"sequence": 0,
}
# 预缓冲:前5个包直接发送
pre_buffer_frames = min(5, len(audios))
for i in range(pre_buffer_frames):
if conn.client_abort:
return
await _do_send_audio(conn, audios[i], flow_control, frame_duration)
conn.client_is_speaking = True
remaining_audios = audios[pre_buffer_frames:]
# 处理剩余音频帧
for i, opus_packet in enumerate(remaining_audios):
if conn.client_abort:
break
conn.last_activity_time = time.time() * 1000
if send_delay > 0:
# 固定延迟模式
await asyncio.sleep(send_delay)
else:
# 使用流控器进行精确延迟
rate_controller.add_audio(opus_packet)
async def send_callback(packet):
await _do_send_audio(conn, packet, flow_control, frame_duration)
await rate_controller.check_queue(send_callback)
conn.client_is_speaking = True
continue
await _do_send_audio(conn, opus_packet, flow_control, frame_duration)
conn.client_is_speaking = True
async def _do_send_audio(conn, opus_packet, flow_control, frame_duration=60):
"""
执行实际的音频发送
"""
packet_index = flow_control.get("packet_count", 0)
sequence = flow_control.get("sequence", 0)
if conn.conn_from_mqtt_gateway:
# 计算时间戳(基于播放位置)
start_time = time.time()
timestamp = int(start_time * 1000) % (2**32)
await _send_to_mqtt_gateway(conn, opus_packet, timestamp, sequence)
else:
# 直接发送opus数据包
await conn.websocket.send(opus_packet)
# 更新流控状态
flow_control["packet_count"] = packet_index + 1
flow_control["sequence"] = sequence + 1
async def send_tts_message(conn, state, text=None):
"""发送 TTS 状态消息"""
if text is None and state == "sentence_start":
return
message = {"type": "tts", "state": state, "session_id": conn.session_id}
if text is not None:
message["text"] = textUtils.check_emoji(text)
# 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 = audio_to_data(stop_tts_notify_voice, is_opus=True)
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"""
end_prompt_str = conn.config.get("end_prompt", {}).get("prompt")
if end_prompt_str and end_prompt_str == text:
await send_tts_message(conn, "start")
return
# 解析JSON格式,提取实际的用户说话内容
display_text = text
try:
# 尝试解析JSON格式
if text.strip().startswith("{") and text.strip().endswith("}"):
parsed_data = json.loads(text)
if isinstance(parsed_data, dict) and "content" in parsed_data:
# 如果是包含说话人信息的JSON格式,只显示content部分
display_text = parsed_data["content"]
# 保存说话人信息到conn对象
if "speaker" in parsed_data:
conn.current_speaker = parsed_data["speaker"]
except (json.JSONDecodeError, TypeError):
# 如果不是JSON格式,直接使用原始文本
display_text = text
stt_text = textUtils.get_string_no_punctuation_or_emoji(display_text)
await conn.websocket.send(
json.dumps({"type": "stt", "text": stt_text, "session_id": conn.session_id})
)
await send_tts_message(conn, "start")