ab-pydantic-patch

Create a RESTful API mini-application using FastAPI and SQLAlchemy that manages a simple database of books. This application will utilize the 'ab-pydantic-patch' package to handle PATCH requests efficiently by allowing partial updates to book records without requiring all fields to be specified every time. Here's a detailed breakdown of the project requirements:

1. **Setup**: Install FastAPI, SQLAlchemy, and 'ab-pydantic-patch'. Set up a basic FastAPI application and configure a SQLite database using SQLAlchemy.
2. **Models**: Define a Book model using SQLAlchemy ORM, which includes fields such as title, author, publication_date, and ISBN.
3. **Pydantic Models**: Create corresponding Pydantic models for the Book entity. Use 'ab-pydantic-patch' to define utility types for these models, such as PartialBook (for partial updates), RequiredBook (for full updates), and PickBook (to select specific fields).
4. **Database Operations**: Implement CRUD operations for the Book model using FastAPI endpoints. Focus on the PATCH endpoint, utilizing the PartialBook model to demonstrate how only necessary fields can be updated.
5. **Testing**: Write tests using pytest to ensure that the PATCH operation works as expected with different combinations of fields being updated.
6. **Documentation**: Provide comprehensive documentation on how each endpoint functions, especially focusing on the PATCH endpoint and its usage of 'ab-pydantic-patch'.
7. **Deployment**: Optionally, deploy the application using Docker for demonstration purposes.

This project aims to showcase the flexibility and power of 'ab-pydantic-patch' in handling complex data structures and operations within a web application context.