apu-agent

Create a simple yet powerful task management application using Python, leveraging the 'apu-agent' package. This application will allow users to manage their daily tasks efficiently, from adding new tasks to marking them as completed. Additionally, the app should include features like setting priorities for tasks and categorizing them into different projects.

Step 1: Set up your development environment with Python installed and create a new virtual environment.

Step 2: Install the 'apu-agent' package and any other necessary dependencies such as FastAPI for building the backend API.

Step 3: Define the data models for tasks and projects using Pydantic models provided by 'apu-agent'. Each task should have fields like title, description, due date, priority level, and status (active or completed).

Step 4: Implement CRUD operations (Create, Read, Update, Delete) for tasks and projects. Use FastAPI to define endpoints for these operations.

Step 5: Add functionality to set priorities and categorize tasks into projects. Priorities could be low, medium, high, and urgent.

Step 6: Integrate authentication using JWT tokens to secure user data. Only authenticated users should be able to modify their own tasks.

Step 7: Test the application thoroughly, ensuring all features work as expected and there are no security vulnerabilities.

Step 8: Document your code and provide instructions on how to run the application locally for other developers.

Utilize 'apu-agent' to streamline the process of defining complex data structures and handling validation errors gracefully. This project aims to demonstrate the power of 'apu-agent' in building robust applications quickly and efficiently.