Remove commented-out performance logging code from TTS player

src/voice_dialogue/services/audio/player.py

@@ -69,13 +69,23 @@ class AudioStreamPlayer(BaseThread):
                             answer=voice_task.answer_sentence,
                         )
                     )
-                # now = time.time()
-                # print(
-                #     f'整体耗时: {(now - voice_task.send_time):.2f}\n'
-                #     f'Whisper/FunASR 耗时: {(voice_task.whisper_end_time - voice_task.whisper_start_time):.2f}\n'
-                #     f'LLM 耗时: {(voice_task.llm_end_time - voice_task.llm_start_time):.2f}\n'
-                #     f'TTS generate sentence: {voice_task.answer_sentence}\n'
-                #     f'TTS 耗时: {(voice_task.tts_end_time - voice_task.tts_start_time):.2f}\n\n'
+
+                # import librosa
+                # asr_duration = voice_task.whisper_end_time - voice_task.whisper_start_time
+                # llm_duration = voice_task.llm_end_time - voice_task.llm_start_time
+                # tts_duration = voice_task.tts_end_time - voice_task.tts_start_time
+                # audio_data, sample_rate = voice_task.tts_generated_sentence_audio
+                # audio_duration = librosa.get_duration(y=audio_data, sr=sample_rate)
+                #
+                # logger.info(
+                #     f"\n┌───────────────── 性能统计 (任务ID: {voice_task.id}) ─────────────────┐\n"
+                #     f"│ ASR 耗时: {asr_duration:.2f}s\n"
+                #     f"│ LLM 耗时: {llm_duration:.2f}s\n"
+                #     f"│ TTS 耗时: {tts_duration:.2f}s\n"
+                #     f"│ 音频长度: {audio_duration:.2f}s\n"
+                #     f"├───────────────────────── 生成内容 ────────────────────────┤\n"
+                #     f"│-> {voice_task.answer_sentence}\n"
+                #     f"└──────────────────────────────────────────────────────────┘"
                 # )
 
                 self.update_chat_history(voice_task)