规范asr部分的代码

main/xiaozhi-server/core/providers/asr/doubao.py

@@ -103,7 +103,8 @@ class ASRProvider(ASRProviderBase):
 
     def save_audio_to_file(self, pcm_data: List[bytes], session_id: str) -> str:
         """PCM数据保存为WAV文件"""
-        file_name = f"asr_{session_id}_{uuid.uuid4()}.wav"
+        module_name = __name__.split(".")[-1]
+        file_name = f"asr_{module_name}_{session_id}_{uuid.uuid4()}.wav"
         file_path = os.path.join(self.output_dir, file_name)
 
         with wave.open(file_path, "wb") as wf:
@@ -139,8 +140,8 @@ class ASRProvider(ASRProviderBase):
                 "uid": str(uuid.uuid4()),
             },
             "request": {
-                "reqid": reqid, 
-                "show_utterances": False, 
+                "reqid": reqid,
+                "show_utterances": False,
                 "sequence": 1,
                 "boosting_table_name": self.boosting_table_name,
                 "correct_table_name": self.correct_table_name,
@@ -260,6 +261,8 @@ class ASRProvider(ASRProviderBase):
         self, opus_data: List[bytes], session_id: str
     ) -> Tuple[Optional[str], Optional[str]]:
         """将语音数据转换为文本"""
+
+        file_path = None
         try:
             # 合并所有opus数据包
             pcm_data = self.decode_opus(opus_data, session_id)
@@ -269,7 +272,7 @@ class ASRProvider(ASRProviderBase):
             if self.delete_audio_file:
                 pass
             else:
-                self.save_audio_to_file(pcm_data, session_id)
+                file_path = self.save_audio_to_file(pcm_data, session_id)
 
             # 直接使用PCM数据
             # 计算分段大小 (单声道, 16bit, 16kHz采样率)
@@ -283,9 +286,9 @@ class ASRProvider(ASRProviderBase):
                 logger.bind(tag=TAG).debug(
                     f"语音识别耗时: {time.time() - start_time:.3f}s | 结果: {text}"
                 )
-                return text, None
-            return "", None
+                return text, file_path
+            return "", file_path
 
         except Exception as e:
             logger.bind(tag=TAG).error(f"语音识别失败: {e}", exc_info=True)
-            return "", None
+            return "", file_path