When working with audio processing in an asynchronous Python environment, you might encounter situations where your application does not return the expected responses. This can occur even if your audio conversion from formats like alaw to linear16 @16Hz is correctly implemented, using tools such as FFmpeg. If audio conversion works independently, but async processing fails, here are some recommendations to consider:
Asynchronous programming allows you to perform tasks concurrently, making it ideal for tasks like I/O-bound operations. However, improper usage of async/await can lead to unresponsive code or missing results.
Tips to Ensure Correct Usage:
await
: Make sure every asynchronous operation is preceded by an await
. This ensures the function waits for the task to complete before proceeding.try-except
blocks to catch unhandled exceptions that might disrupt the async flow.If your application stops receiving responses suddenly, it may be due to an expired WebSocket connection. Use Deepgram's Keep Alive mechanism to maintain this connection:
Example of a websocket closing:
[2025-01-08 11:48:01.800961+00:00] No Websocket messages from client in 12 seconds. Killing connection. Check client connectivity.
[2025-01-08 11:48:01.800978+00:00] Closing the stream to the client.
[2025-01-08 11:48:01.801154+00:00] WebSocket closed unexpectedly.
Troubleshooting an async/await issue requires attention to detail within your code structure and how your app handles I/O operations. By ensuring proper implementation of async functions, using error handling, and maintaining active connections with Keep Alive, many common issues can be resolved.
If issues persist or the system behavior seems inconsistent, reach out to your Deepgram support representative (if you have one) or visit our community for assistance: https://discord.gg/deepgram