Dump logs for the deepgram issue detection #910
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WalkthroughThe changes introduced in this commit primarily focus on enhancing the debugging process for the Changes
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- backend/routers/transcribe.py (3)
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| @@ -205,6 +205,7 @@ def stream_audio(audio_buffer): | |||
| file_path, duration = None, 0 | |||
| if language == 'en' and (codec == 'opus' or codec == 'pcm16') and include_speech_profile: | |||
| file_path = get_profile_audio_if_exists(uid) | |||
| print(f'deepgram-obns3: file_path {file_path}') | |||
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While it's understandable that you're adding print statements for debugging purposes, it's not a good practice to leave them in the production code. Instead, consider using a logging library which can be configured to output logs at different levels (DEBUG, INFO, WARNING, ERROR, CRITICAL). This way, you can set the level of logging at runtime without having to modify your code.
- print(f'deepgram-obns3: file_path {file_path}')
+ import logging
+ logging.debug(f'deepgram-obns3: file_path {file_path}')| @@ -219,6 +220,7 @@ def stream_audio(audio_buffer): | |||
| stream_transcript, speech_profile_stream_id, language, sample_rate, deepgram_codec_value, channels | |||
| ) | |||
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| print(f'deepgram-obns3: send_initial_file_path > deepgram_socket {deepgram_socket}') | |||
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Same as above, replace the print statement with a debug log statement.
- print(f'deepgram-obns3: send_initial_file_path > deepgram_socket {deepgram_socket}')
+ logging.debug(f'deepgram-obns3: send_initial_file_path > deepgram_socket {deepgram_socket}')| print(f'deepgram-obns3: receive_audio > dg_socket1 {dg_socket1}') | ||
| print(f'deepgram-obns3: receive_audio > dg_socket2 {dg_socket2}') |
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Again, replace the print statements with debug log statements.
- print(f'deepgram-obns3: receive_audio > dg_socket1 {dg_socket1}')
- print(f'deepgram-obns3: receive_audio > dg_socket2 {dg_socket2}')
+ logging.debug(f'deepgram-obns3: receive_audio > dg_socket1 {dg_socket1}')
+ logging.debug(f'deepgram-obns3: receive_audio > dg_socket2 {dg_socket2}')Remember to configure the logging level appropriately in your application's configuration or main function.
Summary by Entelligence.AI
stream_audioandreceive_audiofunctions intranscribe.py. This will improve our ability to troubleshoot issues and ensure a smoother user experience with audio streaming and receiving.