- Added `ExtractionProcessor` class to handle extraction queue processing in the background.
- Implemented methods for starting, stopping, and queuing extractions with concurrency limits.
- Integrated logging for monitoring the processor's status and actions.
- Created tests for the extraction processor to ensure functionality and error handling.
test: Add unit tests for extraction API endpoints
- Created tests for successful extraction creation, authentication checks, and processor status retrieval.
- Ensured proper responses for authenticated and unauthenticated requests.
test: Implement unit tests for extraction repository
- Added tests for creating, retrieving, and updating extractions in the repository.
- Mocked database interactions to validate repository behavior without actual database access.
test: Add comprehensive tests for extraction service
- Developed tests for extraction creation, service detection, and sound record creation.
- Included tests for handling duplicate extractions and invalid URLs.
test: Add unit tests for extraction background processor
- Created tests for the `ExtractionProcessor` class to validate its behavior under various conditions.
- Ensured proper handling of extraction queuing, processing, and completion callbacks.
fix: Update OAuth service tests to use AsyncMock
- Modified OAuth provider tests to use `AsyncMock` for mocking asynchronous HTTP requests.
- Implemented endpoints for normalizing all sounds, normalizing sounds by type, and normalizing a specific sound by ID in the sounds API.
- Added dependency injection for the SoundNormalizerService.
- Included role-based access control to restrict normalization actions to admin users.
- Created comprehensive test cases for the new normalization endpoints, covering success scenarios, parameter handling, and error cases.
- Removed redundant test file for sound normalizer endpoints as tests are now integrated into the main sound endpoints test suite.
- Implemented SoundRepository for database operations related to sounds, including methods for retrieving, creating, updating, and deleting sound records.
- Developed SoundScannerService to scan directories for audio files, calculate their metadata, and synchronize with the database.
- Added support for various audio file formats and integrated ffmpeg for audio duration extraction.
- Created comprehensive tests for sound API endpoints and sound scanner service to ensure functionality and error handling.
- Updated dependencies to include ffmpeg-python for audio processing.
