async-db-tools

Create a fully-functional mini-application named 'AsyncDBExplorer' using the Python package 'async-db-tools'. This application will serve as a command-line tool for exploring and managing a PostgreSQL database asynchronously. The goal is to demonstrate the power of asynchronous operations in database management and to provide a practical example of using 'async-db-tools'. Here are the steps and features you need to implement:

1. **Setup**: Begin by installing the required packages including 'async-db-tools', 'aiohttp', and 'aiopg'. Ensure your PostgreSQL server is running and accessible.
2. **Database Connection Pooling**: Use 'async-db-tools' to create an asynchronous connection pool to your PostgreSQL database. This pool should handle the creation and reuse of connections efficiently.
3. **Command Line Interface**: Develop a CLI interface that allows users to execute various commands related to their PostgreSQL database. These commands should include actions such as listing all databases, creating a new database, deleting a database, and listing tables within a specific database.
4. **Asynchronous Database Operations**: Implement asynchronous functions for common database operations like querying data from tables, inserting new records, updating existing records, and deleting records. Each operation should leverage the asynchronous capabilities provided by 'async-db-tools' to ensure high performance.
5. **Error Handling**: Incorporate robust error handling mechanisms to manage potential issues such as connection failures, SQL syntax errors, and permission denials gracefully.
6. **User Authentication**: Integrate basic user authentication so that only authorized users can perform database management tasks through the CLI. Users should be able to register, log in, and log out securely.
7. **Documentation**: Provide comprehensive documentation detailing how to install and use 'AsyncDBExplorer', including examples of each command and expected outputs.
8. **Testing**: Write tests for your application to ensure all functionalities work as expected. Pay special attention to testing the asynchronous operations and the connection pooling mechanism.

By following these steps, you'll create a powerful, efficient, and secure tool for managing PostgreSQL databases using asynchronous programming techniques with 'async-db-tools'.