update: 优化相关处理

This commit is contained in:
Sakura-RanChen
2025-07-16 15:03:53 +08:00
parent 2c33ee5b32
commit e2a7534aa5
3 changed files with 21 additions and 33 deletions
-1
View File
@@ -128,7 +128,6 @@ class ConnectionHandler:
# tts相关变量
self.sentence_id = None
self.message_id = None
# iot相关变量
self.iot_descriptors = {}
@@ -124,17 +124,16 @@ class TTSProvider(TTSProviderBase):
self._monitor_task = None
self.last_active_time = None
# 文本符号
self.sentence_end_chars = {'', '!', '', '?', '', '\n', "~"}
# 专属tts设置
self.message_id = ""
self.tts_text = ''
self.text_buffer = []
# 创建Opus编码器
self.opus_encoder = opus_encoder_utils.OpusEncoderUtils(
sample_rate=16000, channels=1, frame_size_ms=60
)
# PCM缓冲区
self.pcm_buffer = bytearray()
# Token管理
if self.access_key_id and self.access_key_secret:
self._refresh_token()
@@ -226,8 +225,8 @@ class TTSProvider(TTSProviderBase):
logger.bind(tag=TAG).info(f"自动生成新的 会话ID: {self.conn.sentence_id}")
# aliyunStream独有的参数生成
self.conn.message_id = str(uuid.uuid4().hex)
self.text_buffer = ""
self.message_id = str(uuid.uuid4().hex)
self.text_buffer = []
logger.bind(tag=TAG).info("开始启动TTS会话...")
future = asyncio.run_coroutine_threadsafe(
@@ -248,7 +247,7 @@ class TTSProvider(TTSProviderBase):
logger.bind(tag=TAG).debug(
f"开始发送TTS文本: {message.content_detail}"
)
self.text_buffer += message.content_detail
self.text_buffer.append(message.content_detail)
future = asyncio.run_coroutine_threadsafe(
self.text_to_speak(message.content_detail, None),
loop=self.conn.loop,
@@ -273,6 +272,9 @@ class TTSProvider(TTSProviderBase):
if message.sentence_type == SentenceType.LAST:
try:
logger.bind(tag=TAG).info("开始结束TTS会话...")
self.tts_text = textUtils.get_string_no_punctuation_or_emoji(
''.join(self.text_buffer).replace('\n', '')
)
future = asyncio.run_coroutine_threadsafe(
self.finish_session(self.conn.sentence_id),
loop=self.conn.loop,
@@ -297,7 +299,7 @@ class TTSProvider(TTSProviderBase):
filtered_text = MarkdownCleaner.clean_markdown(text)
run_request = {
"header": {
"message_id": self.conn.message_id,
"message_id": self.message_id,
"task_id": self.conn.sentence_id,
"namespace": "FlowingSpeechSynthesizer",
"name": "RunSynthesis",
@@ -341,7 +343,7 @@ class TTSProvider(TTSProviderBase):
start_request = {
"header": {
"message_id": self.conn.message_id,
"message_id": self.message_id,
"task_id": self.conn.sentence_id,
"namespace": "FlowingSpeechSynthesizer",
"name": "StartSynthesis",
@@ -372,7 +374,7 @@ class TTSProvider(TTSProviderBase):
if self.ws:
stop_request = {
"header": {
"message_id": self.conn.message_id,
"message_id": self.message_id,
"task_id": self.conn.sentence_id,
"namespace": "FlowingSpeechSynthesizer",
"name": "StopSynthesis",
@@ -422,7 +424,6 @@ class TTSProvider(TTSProviderBase):
opus_datas_cache = []
is_first_sentence = True
first_sentence_segment_count = 0 # 添加计数器
text_buff = ""
try:
session_finished = False # 标记会话是否正常结束
while not self.conn.stop_event.is_set():
@@ -441,13 +442,11 @@ class TTSProvider(TTSProviderBase):
if event_name == "SynthesisStarted":
logger.bind(tag=TAG).debug("TTS合成已启动")
elif event_name == "SentenceBegin":
text_buff = self._extract_sentence()
logger.bind(tag=TAG).debug(f"句子语音生成开始: {text_buff}")
logger.bind(tag=TAG).debug(f"句子语音生成开始: {self.tts_text}")
opus_datas_cache = []
self.tts_audio_queue.put((SentenceType.FIRST, [], text_buff))
self.tts_audio_queue.put((SentenceType.FIRST, [], self.tts_text))
elif event_name == "SentenceEnd":
logger.bind(tag=TAG).info(f"句子语音生成成功: {text_buff}")
text_buff = ""
logger.bind(tag=TAG).info(f"句子语音生成成功: {self.tts_text}")
if not is_first_sentence or first_sentence_segment_count > 10:
# 发送缓存的数据
self.tts_audio_queue.put(
@@ -460,6 +459,7 @@ class TTSProvider(TTSProviderBase):
self._process_before_stop_play_files()
session_finished = True
self.reuse_judgment = time.time()
self.tts_text = ''
break
except json.JSONDecodeError:
logger.bind(tag=TAG).warning("收到无效的JSON消息")
@@ -477,10 +477,10 @@ class TTSProvider(TTSProviderBase):
(SentenceType.MIDDLE, opus_datas, None)
)
else:
opus_datas_cache = opus_datas_cache + opus_datas
opus_datas_cache.extend(opus_datas)
else:
# 后续句子缓存
opus_datas_cache = opus_datas_cache + opus_datas
opus_datas_cache.extend(opus_datas)
except websockets.ConnectionClosed:
logger.bind(tag=TAG).warning("WebSocket连接已关闭")
@@ -501,17 +501,6 @@ class TTSProvider(TTSProviderBase):
finally:
self._monitor_task = None
def _extract_sentence(self):
"""从text_buffer中提取第一个满足分句规则的句子"""
if len(self.text_buffer) <= 6:
return textUtils.get_string_no_punctuation_or_emoji(self.text_buffer)
for idx, char in enumerate(self.text_buffer):
if char in self.sentence_end_chars and idx > 6:
sentence = self.text_buffer[:idx + 1]
self.text_buffer = self.text_buffer[idx + 1:]
return textUtils.get_string_no_punctuation_or_emoji(sentence)
return None
def to_tts(self, text: str) -> list:
"""非流式TTS处理,用于测试及保存音频文件的场景"""
try:
@@ -435,10 +435,10 @@ class TTSProvider(TTSProviderBase):
(SentenceType.MIDDLE, opus_datas, None)
)
else:
opus_datas_cache = opus_datas_cache + opus_datas
opus_datas_cache.extend(opus_datas)
else:
# 后续句子缓存
opus_datas_cache = opus_datas_cache + opus_datas
opus_datas_cache.extend(opus_datas)
elif res.optional.event == EVENT_TTSSentenceEnd:
logger.bind(tag=TAG).info(f"句子语音生成成功:{self.tts_text}")
if not is_first_sentence or first_sentence_segment_count > 10: