Podcast Summary
Code Quality Prioritization: Ensure code quality by prioritizing it before writing code, using automated tools, manual code review, and clear documentation rules. Use versatile libraries like QT for development and choose the right tools for documentation and UI implementation.
Prioritizing code quality is crucial in software development, even before writing the code itself. Dimitro-Nicolin, in the presented audio, emphasizes the importance of hash code quality and suggests considering it as a top priority. To ensure code quality, automated tools can be used for code analysis, but manual code review is also essential to enforce coding standards. Documentation is another essential aspect that should not be overlooked, especially when dealing with multiple programming languages like C++ and Python. Before diving into coding, clear documentation rules should be established. Doxygen Markdown is an example of a tool used for documenting C++ code. In the coding phase, a versatile library like QT, which supports multiple operating systems, can be used for software development. While Q widgets can be used for UI implementation, QML offers a more streamlined approach. QT's flexibility allows for the creation of a multimedia content player and the ability to work with multiple UI languages. In summary, prioritizing code quality, documenting code, and choosing the right tools and libraries are all essential aspects of successful software development.
QT components for photo album app: Using various QT components like QTranslator, QText codec, and SQLite for metadata storage in a photo album app improves flexibility and maintainability, but addressing limitations of metadata storage may require switching to CSV or creating a RIF parser.
Working with QT for developing a photo album application involves using various components such as QTranslator, QText codec, Clocal, QText decoder, and QText encoder. The process of working with SQLite using QT is straightforward, but switching to CSV for data storage was necessary for integrating Python code into the C++ application. The history of internal metadata formats in FVA software shows that metadata was initially stored at the file system level, but this approach had limitations in terms of flexibility and maintainability. To address these issues, metadata was moved to an SQLite database, improving flexibility and maintainability, but merging folders still caused significant changes in the SQL updates. Another valuable capability added to the project was creating a RIF parser. Overall, using QT for a photo album application requires understanding various components and addressing limitations of metadata storage.
Metadata maintainability: Careful planning and consideration of metadata maintainability is crucial to prevent potential complications and redundant data in the future.
Careful planning and consideration of maintainability is essential before implementing a metadata system, even if it means dealing with some duplication of information. In the discussed case, consolidating all metadata into a single CSV file simplified the merging of folders, but resulted in redundant data. This issue highlights the importance of designing a flexible and maintainable system architecture from the beginning, as demonstrated by the history of internal metadata formats in FVA software. The ease of maintaining product changes should always be a priority to prevent potential complications down the line.