Some suggestions and expectations for OrpheusDL

Optimization suggestions for orpheup. py: Configuration management: Use configuration files (such as JSON or YAML) to manage settings, rather than hardcoding them in code. Logging: Use the logging module instead of the print statement to better control the log level and output. Exception handling: Define custom exceptions for different types of errors and capture and handle them appropriately. Code structure: Encapsulate functional code blocks into functions or classes to improve code readability and maintainability. Third party module loading: Use lazy import to load third-party modules on demand, reducing startup time.

Suggestions for optimizing moduletesting. py: Parameter parsing: Use the sub command function of argparse to better manage and parse command-line parameters. Code reuse: Extracting duplicate code snippets into auxiliary functions, such as parameter validation and result printing. Testing framework: Consider using Python's built-in testing framework (such as UnitTest or Pytest) to write and run tests.

Core. py optimization suggestions: Configuration management: Same as orpheux.xy, use external configuration files to manage settings. Error handling: Improve error handling logic to ensure that all possible error paths are handled properly. Code structure: Separate the logic of network requests and file operations into different functions or classes for testing and maintenance purposes. Cache mechanism: Implement a cache mechanism for frequently accessed but infrequently changing data to reduce unnecessary network requests.

Suggestions for optimizing music.downloader.py: Concurrent downloading: Using multiple threads or processes to concurrently download multiple files to improve download efficiency. Resume from breakpoint: Implement the resume from breakpoint function to resume downloading from the breakpoint when the download is interrupted. Error retry: Automatically retry when download fails and provide configuration options for retry times. User Interface: If applicable, consider adding a simple user interface (such as CLI parameters or graphical interface) to enhance the user experience.

Tagging. py optimization suggestions: Error handling: Improve error handling during the application of metadata tags to ensure that all possible errors are captured and properly handled. Code reuse: Extracting common tag processing logic into auxiliary functions to reduce code duplication. Performance optimization: For large audio files, consider using streaming processing to reduce memory usage. Logging: Use the logging module to record operation logs for easy problem tracking and debugging. Please note that these suggestions need to be implemented in conjunction with the actual code context. In practical operation, you may need to conduct more detailed code review and analysis to determine the best optimization strategy.

OrfiTeam / OrpheusDL

Some suggestions and expectations for OrpheusDL #64