ayafileio

Create a cross-platform asynchronous file indexer and search tool using the 'ayafileio' Python package. This tool will allow users to specify directories to index and then search through those indexed files efficiently. Here’s how you can structure your project:

1. **Project Setup**: Initialize a new Python virtual environment and install the 'ayafileio' package.
2. **Directory Indexing**: Implement a feature where users can input one or more directories they wish to index. Use 'ayafileio' to asynchronously read these directories, collecting metadata such as file names, sizes, and modification times.
3. **Index Storage**: Store the collected metadata in a local SQLite database. Ensure that the indexing process updates the database without overwriting existing data, allowing for incremental updates.
4. **Search Functionality**: Develop a search interface where users can query keywords or patterns against the indexed files. The search should be case-insensitive and support partial matches.
5. **Results Display**: When a user performs a search, display the results in a human-readable format, including the file name, size, last modified date, and a brief snippet of text from the file content (if it’s a text file).
6. **User Interface**: Although the initial version could be command-line based, consider adding a simple GUI using Tkinter or another lightweight framework for better usability.
7. **Testing and Documentation**: Write tests to ensure all components work correctly and create comprehensive documentation for both end-users and developers.

This project leverages 'ayafileio' for its cross-platform compatibility and asynchronous capabilities, ensuring that the indexing process is efficient even when dealing with large directories.