We want to improve the timestamped transcript generator, so that the system can handle multiple transcription tasks concurrently, with better error handling and logging.
Acceptance Criteria:
Memory Optimization:
Refactor the current implementation to reduce memory usage.
Ensure that the application can spawn multiple workers efficiently, allowing concurrent processing of several audio files without excessive memory consumption.
Gemini Model Error Handling:
Implement a mechanism to minimize the "Service currently unavailable" error from the Gemini model.
Introduce a retry logic with exponential backoff for handling transient errors from the Gemini model.
Timeout Management:
Add a timeout handler for requests to the Gemini model.
Implement fallback or retry strategies to manage timeouts gracefully.
Logging Enhancements:
Increase the granularity and detail of logging throughout the transcription process.
Ensure that logs capture key events and errors to facilitate easier debugging and monitoring.
Scalability Considerations:
Investigate and implement scaling strategies using fly.io to manage increased loads during the transcription step.
Ensure that the system can dynamically scale up additional machines as needed.
Tasks:
[ ] Profile and refactor code to optimize memory usage.
[ ] Implement retry logic for handling "Service currently unavailable" errors.
[ ] Add timeout handling and fallback strategies for the Gemini model.
[ ] Enhance logging to include detailed information for key processes and error occurrences.
[ ] Research fly.io scaling options and integrate dynamic scaling for transcription workload.
Additional Notes:
Consider using tools like memory profilers and logging frameworks to aid development.
Collaborate with the DevOps team to ensure smooth integration with fly.io scaling solutions.
Conduct thorough testing to validate improvements in memory usage, error handling, and system scalability.
linear[bot]
commented
2 days ago
We want to improve the timestamped transcript generator, so that the system can handle multiple transcription tasks concurrently, with better error handling and logging.
Acceptance Criteria:
Tasks:
Additional Notes: