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update：格式化代码

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hrz
2025-04-01 14:27:17 +08:00
parent d9d973b6aa 7c389a0641
commit 61db1192e2
7 changed files with 507 additions and 222 deletions
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main/xiaozhi-server/core/providers/tts/base.py
+113 -44
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@@ -35,11 +35,25 @@ class TTSProviderBase(ABC):
self.stop_event = threading.Event()
self.tts_text_buff = []
self.punctuations = ("。", "？", "！", "；", "：", ".", "?", "!", ";", ":", " ", ",", "，")
self.punctuations = (
"。",
"？",
"！",
"；",
"：",
".",
"?",
"!",
";",
":",
" ",
",",
"，",
)
self.tts_request = False
self.processed_chars = 0
self.stream = False
self.last_to_opus_raw = b''
self.last_to_opus_raw = b""
# 启动tts_text_queue监听线程
# 线程任务相关
@@ -51,7 +65,9 @@ class TTSProviderBase(ABC):
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 = threading.Thread(
target=self._tts_text_priority_thread, daemon=True
)
tts_priority.start()
async def stop_listen_resource(self):
@@ -67,15 +83,19 @@ class TTSProviderBase(ABC):
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
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):
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)
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
else:
@@ -98,11 +118,21 @@ class TTSProviderBase(ABC):
async def finish_session(self, session_id):
pass
async def tts_one_sentence(self,text):
async def tts_one_sentence(self, text):
uuid_str = str(uuid.uuid4()).replace("-", "")
self.tts.tts_text_queue.put(TTSMessageDTO(u_id=uuid_str, msg_type=MsgType.START_TTS_REQUEST, content=''))
self.tts.tts_text_queue.put(TTSMessageDTO(u_id=uuid_str, msg_type=MsgType.TTS_TEXT_REQUEST, content=text))
self.tts.tts_text_queue.put(TTSMessageDTO(u_id=uuid_str, msg_type=MsgType.STOP_TTS_REQUEST, content=text))
self.tts.tts_text_queue.put(
TTSMessageDTO(u_id=uuid_str, msg_type=MsgType.START_TTS_REQUEST, content="")
)
self.tts.tts_text_queue.put(
TTSMessageDTO(
u_id=uuid_str, msg_type=MsgType.TTS_TEXT_REQUEST, content=text
)
)
self.tts.tts_text_queue.put(
TTSMessageDTO(
u_id=uuid_str, msg_type=MsgType.STOP_TTS_REQUEST, content=text
)
)
def _enable_two_way_tts(self):
while not self.stop_event.is_set():
@@ -114,27 +144,36 @@ class TTSProviderBase(ABC):
self.tts_request = True
self.u_id = ttsMessageDTO.u_id
# 开启session
future = asyncio.run_coroutine_threadsafe(self.start_session(ttsMessageDTO.u_id), loop=self.loop)
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)
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
future = asyncio.run_coroutine_threadsafe(self.finish_session(ttsMessageDTO.u_id), loop=self.loop)
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
u_id=self.u_id,
msg_type=MsgType.STOP_TTS_RESPONSE,
content=[],
tts_finish_text="",
sentence_type=None,
)
)
traceback.print_exc()
@@ -162,25 +201,43 @@ class TTSProviderBase(ABC):
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)
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))
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))
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:
@@ -189,25 +246,31 @@ class TTSProviderBase(ABC):
ttsMessageDTO.u_id,
segment_text,
msg_type == MsgType.STOP_TTS_REQUEST,
msg_type == MsgType.START_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.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))
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}")
logger.bind(tag=TAG).error(
f"Failed to process TTS text: {e}"
)
traceback.print_exc()
else:
pass
@@ -227,10 +290,14 @@ class TTSProviderBase(ABC):
asyncio.run(self.text_to_speak(text, tmp_file))
if not os.path.exists(tmp_file):
max_repeat_time = max_repeat_time - 1
logger.bind(tag=TAG).error(f"语音生成失败: {text}:{tmp_file}，再试{max_repeat_time}次")
logger.bind(tag=TAG).error(
f"语音生成失败: {text}:{tmp_file}，再试{max_repeat_time}次"
)
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")
logger.bind(tag=TAG).info(
f"语音生成成功: {text}:{tmp_file}，重试{5 - max_repeat_time}次"
)
return tmp_file
except Exception as e:
@@ -256,7 +323,7 @@ class TTSProviderBase(ABC):
# 获取文件后缀名
file_type = os.path.splitext(audio_file_path)[1]
if file_type:
file_type = file_type.lstrip('.')
file_type = file_type.lstrip(".")
audio = AudioSegment.from_file(audio_file_path, format=file_type)
# 转换为单声道/16kHz采样率/16位小端编码（确保与编码器匹配）
@@ -279,11 +346,11 @@ class TTSProviderBase(ABC):
# 按帧处理所有音频数据（包括最后一帧可能补零）
for i in range(0, len(raw_data), frame_size * 2): # 16bit=2bytes/sample
# 获取当前帧的二进制数据
chunk = raw_data[i:i + frame_size * 2]
chunk = raw_data[i : i + frame_size * 2]
# 如果最后一帧不足，补零
if len(chunk) < frame_size * 2:
chunk += b'\x00' * (frame_size * 2 - len(chunk))
chunk += b"\x00" * (frame_size * 2 - len(chunk))
# 转换为numpy数组处理
np_frame = np.frombuffer(chunk, dtype=np.int16)
@@ -295,7 +362,9 @@ class TTSProviderBase(ABC):
return opus_datas, duration
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)
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")
@@ -304,7 +373,7 @@ class TTSProviderBase(ABC):
def wav_to_opus_data_audio_raw(self, raw_data_var, is_end=False):
raw_data = self.last_to_opus_raw + raw_data_var
self.last_to_opus_raw = b''
self.last_to_opus_raw = b""
# 初始化Opus编码器
encoder = opuslib_next.Encoder(16000, 1, opuslib_next.APPLICATION_AUDIO)
@@ -316,7 +385,7 @@ class TTSProviderBase(ABC):
# 按帧处理所有音频数据（包括最后一帧可能补零）
for i in range(0, len(raw_data), frame_size * 2): # 16bit=2bytes/sample
# 获取当前帧的二进制数据
chunk = raw_data[i:i + frame_size * 2]
chunk = raw_data[i : i + frame_size * 2]
# 如果最后一帧不足，补零
# 缓存记录一下
@@ -326,7 +395,7 @@ class TTSProviderBase(ABC):
break
if len(chunk) < frame_size * 2 and is_end:
logger.bind(tag=TAG).info("是最后一句了，补零")
chunk += b'\x00' * (frame_size * 2 - len(chunk))
chunk += b"\x00" * (frame_size * 2 - len(chunk))
# 转换为numpy数组处理
np_frame = np.frombuffer(chunk, dtype=np.int16)