- Updated tests for listing users to validate pagination and response format.
- Changed mock return values to include total count and pagination details.
- Refactored user creation mocks for clarity and consistency.
- Enhanced assertions to check for presence of pagination fields in responses.
- Adjusted test cases for user retrieval and updates to ensure proper handling of user data.
- Improved readability by restructuring mock definitions and assertions across various test files.
- Adjusted function signatures in various test files to enhance clarity by aligning parameters.
- Updated patching syntax for better readability across test cases.
- Improved formatting and spacing in test assertions and mock setups.
- Ensured consistent use of async/await patterns in async test functions.
- Enhanced comments for better understanding of test intentions.
- Introduced a new test suite for the PlaylistService covering various functionalities including creation, retrieval, updating, and deletion of playlists.
- Added tests for handling sounds within playlists, ensuring correct behavior when adding/removing sounds and managing current playlists.
- Refactored socket service tests for improved readability by adjusting function signatures.
- Cleaned up unnecessary whitespace in sound normalizer and sound scanner tests for consistency.
- Enhanced audio utility tests to ensure accurate hash and size calculations, including edge cases for nonexistent files.
- Removed redundant blank lines in cookie utility tests for cleaner code.
- Added SoundNormalizerService for normalizing audio files with support for one-pass and two-pass normalization methods.
- Introduced API endpoints for normalizing all sounds and specific sounds by ID, including support for force normalization and handling of already normalized sounds.
- Created comprehensive test suite for the sound normalizer service and its API endpoints, covering various scenarios including success, errors, and edge cases.
- Refactored sound scanning service to utilize SHA-256 for file hashing instead of MD5 for improved security.
- Enhanced logging and error handling throughout the sound normalization process.
- 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.
