import os import re import queue import uuid import asyncio import threading from typing import Callable, Any from core.utils import p3 import time from datetime import datetime from core.utils import textUtils from abc import ABC, abstractmethod from config.logger import setup_logging from core.utils.audio_flow_control import FlowControlConfig, simulate_device_consumption from core.utils.util import audio_bytes_to_data_stream, audio_to_data_stream from core.utils.tts import MarkdownCleaner from core.utils.output_counter import add_device_output from core.handle.reportHandle import enqueue_tts_report from core.handle.sendAudioHandle import sendAudioMessage from core.providers.tts.dto.dto import ( TTSMessageDTO, SentenceType, ContentType, InterfaceType, ) import traceback TAG = __name__ logger = setup_logging() class TTSProviderBase(ABC): def __init__(self, config, delete_audio_file): self.interface_type = InterfaceType.NON_STREAM self.conn = None self.tts_timeout = 10 self.delete_audio_file = delete_audio_file self.audio_file_type = "wav" self.output_file = config.get("output_dir", "tmp/") self.tts_text_queue = queue.Queue() self.tts_audio_queue = queue.Queue() self.tts_audio_first_sentence = True self.before_stop_play_files = [] self.tts_text_buff = [] self.punctuations = ( "。", "？", "?", "！", "!", "；", ";", "：", ) self.first_sentence_punctuations = ( "，", "~", "、", ",", "。", "？", "?", "！", "!", "；", ";", "：", ) self.tts_stop_request = False self.processed_chars = 0 self.is_first_sentence = True self.flow_controller = FlowControlConfig.create_flow_controller() def generate_filename(self, extension=".wav"): return os.path.join( self.output_file, f"tts-{datetime.now().date()}@{uuid.uuid4().hex}{extension}", ) def handle_opus(self, opus_data: bytes): logger.bind(tag=TAG).debug(f"推送数据到队列里面帧数～～ {len(opus_data)}") self.tts_audio_queue.put((SentenceType.MIDDLE, opus_data, None)) def handle_audio_file(self, file_audio: bytes, text): self.before_stop_play_files.append((file_audio, text)) def to_tts_stream(self, text, opus_handler: Callable[[bytes], None] = None) -> None: text = MarkdownCleaner.clean_markdown(text) max_repeat_time = 5 if self.delete_audio_file: # 需要删除文件的直接转为音频数据 while max_repeat_time > 0: try: audio_bytes = asyncio.run(self.text_to_speak(text, None)) if audio_bytes: self.tts_audio_queue.put((SentenceType.FIRST, None, text)) audio_bytes_to_data_stream( audio_bytes, file_type=self.audio_file_type, is_opus=True, callback=opus_handler, ) break else: max_repeat_time -= 1 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}" ) max_repeat_time -= 1 if max_repeat_time > 0: logger.bind(tag=TAG).info( f"语音生成成功: {text}，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 None else: tmp_file = self.generate_filename() try: 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 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" ) self.tts_audio_queue.put((SentenceType.FIRST, None, text)) self._process_audio_file_stream(tmp_file, callback=opus_handler) 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_stream( self, audio_file_path, callback: Callable[[Any], Any] = None ): """音频文件转换为PCM编码""" return audio_to_data_stream(audio_file_path, is_opus=False, callback=callback) def audio_to_opus_data_stream( self, audio_file_path, callback: Callable[[Any], Any] = None ): """音频文件转换为Opus编码""" return audio_to_data_stream(audio_file_path, is_opus=True, callback=callback) 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().hex) conn.sentence_id = sentence_id # 对于单句的文本，进行分段处理 segments = re.split(r"([。！？!?；;\n])", content_detail) for seg in segments: self.tts_text_queue.put( TTSMessageDTO( sentence_id=sentence_id, sentence_type=SentenceType.MIDDLE, content_type=content_type, content_detail=seg, content_file=content_file, ) ) 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_text_priority_thread, daemon=True ) self.tts_priority_thread.start() # 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() # 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.conn.stop_event.is_set(): try: message = self.tts_text_queue.get(timeout=1) if message.sentence_type == SentenceType.FIRST: self.conn.client_abort = False if self.conn.client_abort: logger.bind(tag=TAG).info("收到打断信息，终止TTS文本处理线程") continue 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 self.tts_audio_first_sentence = True self.reset_flow_controller() elif ContentType.TEXT == message.content_type: self.tts_text_buff.append(message.content_detail) segment_text = self._get_segment_text() if segment_text: self.to_tts_stream(segment_text, opus_handler=self.handle_opus) elif ContentType.FILE == message.content_type: self._process_remaining_text_stream(opus_handler=self.handle_opus) tts_file = message.content_file if tts_file and os.path.exists(tts_file): self._process_audio_file_stream( tts_file, callback=self.handle_opus ) if message.sentence_type == SentenceType.LAST: self._process_remaining_text_stream(opus_handler=self.handle_opus) self.tts_audio_queue.put( (message.sentence_type, [], message.content_detail) ) except queue.Empty: continue except Exception as e: logger.bind(tag=TAG).error( f"处理TTS文本失败: {str(e)}, 类型: {type(e).__name__}, 堆栈: {traceback.format_exc()}" ) continue def _audio_play_priority_thread(self): # 需要上报的文本和音频列表 enqueue_text = None enqueue_audio = None while not self.conn.stop_event.is_set(): text = None try: try: sentence_type, audio_datas, text = self.tts_audio_queue.get( timeout=0.1 ) except queue.Empty: if self.conn.stop_event.is_set(): break continue if self.conn.client_abort: logger.bind(tag=TAG).debug("收到打断信号，跳过当前音频数据") # 打断时丢弃未上报的音频数据 enqueue_text, enqueue_audio = None, [] continue # 收到下一个文本开始或会话结束时进行上报 if sentence_type is not SentenceType.MIDDLE: # 上报TTS数据 if enqueue_text is not None and enqueue_audio is not None: enqueue_tts_report(self.conn, enqueue_text, enqueue_audio) enqueue_audio = [] enqueue_text = text # 计算音频数据的帧数 if isinstance(audio_datas, bytes): frame_count = 1 # 单个字节流作为一帧 enqueue_audio.append(audio_datas) else: frame_count = 0 # 记录输出和报告 if self.conn.max_output_size > 0 and text: add_device_output(self.conn.headers.get("device-id"), len(text)) # 流控检查 if frame_count > 0: max_wait_time = FlowControlConfig.DEFAULT_MAX_WAIT_TIME wait_start_time = time.time() retry_interval = FlowControlConfig.DEFAULT_RETRY_INTERVAL while not self.flow_controller.can_send_frames(frame_count): # 检查是否超时或需要停止 if ( time.time() - wait_start_time > max_wait_time or self.conn.stop_event.is_set() or self.conn.client_abort ): logger.bind(tag=TAG).debug( "流控等待超时或收到停止信号，跳过音频发送" ) break # 短暂等待后重试 time.sleep(retry_interval) else: # 可以发送，记录发送的帧数 self.flow_controller.record_sent_frames(frame_count) # 发送音频 future = asyncio.run_coroutine_threadsafe( self._send_audio_with_flow_control( sentence_type, audio_datas, text ), self.conn.loop, ) future.result() # 输出流控状态（调试用） # status = self.flow_controller.get_status() # logger.bind(tag=TAG).debug( # f"流控状态: 缓冲区使用率={status['buffer_usage_percent']:.1f}%, " # f"可用令牌={status['available_tokens']}..." # f"发送帧数={status['sent_frames']}..." # f"消费帧数={status['consumed_frames']}..." # f"代播放帧数={status['sent_frames'] - status['consumed_frames']}..." # ) else: # 没有音频数据，直接发送 future = asyncio.run_coroutine_threadsafe( self._send_audio_with_flow_control( sentence_type, audio_datas, text ), self.conn.loop, ) future.result() except Exception as e: logger.bind(tag=TAG).error(f"audio_play_priority_thread: {text} {e}") async def _send_audio_with_flow_control(self, sentence_type, audio_datas, text): """ 带流控的音频发送方法 模拟设备消费音频帧的过程 实际应用中应该根据设备反馈来更新消费情况 """ await sendAudioMessage(self.conn, sentence_type, audio_datas, text) # 模拟设备消费（实际应用中应该从设备获取反馈）防止音字不同步 if isinstance(audio_datas, bytes): frame_count = 1 asyncio.create_task(simulate_device_consumption(self.flow_controller, frame_count)) # 在类中添加流控制器重置方法 def reset_flow_controller(self): """重置流控制器状态，通常在新会话开始时调用""" if hasattr(self, "flow_controller"): self.flow_controller.reset() logger.bind(tag=TAG).info("流控制器状态已重置") async def start_session(self, session_id): pass async def finish_session(self, session_id): pass async def close(self): """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_stream( self, tts_file, callback: Callable[[Any], Any] ) -> None: """处理音频文件并转换为指定格式 Args: tts_file: 音频文件路径 callback: 文件处理函数 """ if tts_file.endswith(".p3"): p3.decode_opus_from_file_stream(tts_file, callback=callback) elif self.conn.audio_format == "pcm": self.audio_to_pcm_data_stream(tts_file, callback=callback) else: self.audio_to_opus_data_stream(tts_file, callback=callback) 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) def _process_before_stop_play_files(self): for audio_datas, text in self.before_stop_play_files: self.tts_audio_queue.put((SentenceType.MIDDLE, audio_datas, text)) self.before_stop_play_files.clear() self.tts_audio_queue.put((SentenceType.LAST, [], None)) def _process_remaining_text_stream( self, opus_handler: Callable[[bytes], None] = None ): """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: self.to_tts_stream(segment_text, opus_handler=opus_handler) self.processed_chars += len(full_text) return True return False