arq-base-python

Create a simple task scheduler application using the 'arq-base-python' library. This application will allow users to schedule tasks at specific times or intervals. Here’s a detailed breakdown of the project requirements and steps:

1. **Project Overview**: Develop a command-line interface (CLI) tool that allows users to define and manage scheduled tasks.
2. **Core Features**:
   - Users should be able to add new tasks with a unique identifier, description, and a scheduled time (e.g., run every hour).
   - The application should support different scheduling intervals (e.g., minutes, hours, days).
   - Tasks can be marked as completed once they have been executed.
   - Provide functionality to list all scheduled tasks, filter them by status (active, completed), and delete tasks.
3. **Implementation Steps**:
   - Initialize your Python project and install 'arq-base-python'.
   - Create a class `TaskScheduler` that inherits from `arq.BaseWorker` to handle task execution logic.
   - Implement methods within `TaskScheduler` for adding, listing, updating, and deleting tasks.
   - Use `arq`’s built-in job queue to manage the scheduling of these tasks based on user input.
   - Ensure that the CLI interface is intuitive and easy to use, providing clear instructions and feedback to the user.
4. **Utilizing 'arq-base-python'**:
   - Utilize 'arq-base-python' to manage the background task execution. This includes setting up the worker to process jobs from the queue and handling the asynchronous nature of scheduled tasks.
   - Explore how 'arq-base-python' handles job persistence and retries, integrating these features into your application to ensure robustness.
5. **Additional Enhancements**:
   - Consider adding logging capabilities to track task execution and errors.
   - Allow users to specify custom scripts or functions to execute as part of their tasks.
   - Implement a web-based UI to complement the CLI, allowing more complex task management functionalities.
6. **Testing**:
   - Write unit tests to verify the correctness of each feature, focusing on edge cases such as invalid inputs and unexpected errors during task execution.
   - Perform integration testing to ensure seamless interaction between the CLI/UI and the task scheduler backend.
7. **Documentation**:
   - Document the codebase thoroughly, explaining how each component interacts with 'arq-base-python' and how to extend or modify the application.
   - Provide a README file detailing how to set up and run the application, including installation instructions and usage examples.