Add `has_no_words` check to skip punctuation-only TTS tasks and enhance debug logs

- Implement `has_no_words` method to detect and skip text containing only punctuation or symbols.
- Log TTS generation process when `is_debug_mode` is enabled for easier debugging.

src/voice_dialogue/services/audio/generator.py

@@ -1,10 +1,11 @@
+import re
 import time
 from multiprocessing import Queue
 from queue import Empty
 
 from voice_dialogue.core.base import BaseThread
 from voice_dialogue.core.constants import dropped_audio_cache, user_still_speaking_event, voice_state_manager, \
-    session_manager
+    session_manager, is_debug_mode
 from voice_dialogue.models.voice_task import VoiceTask
 from voice_dialogue.utils.logger import logger
 from .generators import tts_manager, BaseTTSConfig
@@ -84,6 +85,13 @@ class TTSAudioGenerator(BaseThread):
             if voice_task.session_id != session_manager.current_id:
                 continue
 
+            if self.has_no_words(voice_task.answer_sentence):
+                logger.info(f"跳过仅包含标点的文本: '{voice_task.answer_sentence}'")
+                continue
+
+            if is_debug_mode():
+                logger.info(f"TTS 音频生成: {voice_task.answer_sentence}")
+
             voice_task.tts_start_time = time.time()
             try:
                 tts_generated_sentence_audio = self.tts_instance.synthesize(voice_task.answer_sentence)
@@ -91,7 +99,7 @@ class TTSAudioGenerator(BaseThread):
                 logger.error(f"TTS 音频生成失败: {e}")
                 voice_state_manager.reset_task_id()
                 continue
-            
+
             voice_task.tts_generated_sentence_audio = tts_generated_sentence_audio
             voice_task.tts_end_time = time.time()
             # print(f'生成音频：{voice_task.answer_sentence}')
@@ -110,3 +118,13 @@ class TTSAudioGenerator(BaseThread):
         """
         return (voice_state_manager.interrupt_task_id and
                 voice_task.id != voice_state_manager.interrupt_task_id)
+
+    def has_no_words(self, text: str) -> bool:
+        """
+        检查文本是否不包含任何单词（字母、数字或中文字符）。
+        如果文本只包含标点、空格等符号，则返回 True。
+        """
+        # 搜索任何字母、数字或中文字符
+        if re.search(r'[\u4e00-\u9fa5a-zA-Z0-9]', text):
+            return False
+        return True