Imagine we're building a weather service. This isn't just about showing temperatures; it's about providing a flexible and reliable system that can handle various data sources, present information in different formats, and adapt to changing needs. We'll be focusing on the internal design – how the classes interact, how we manage data flow, and how we ensure the system remains maintainable and scalable from a code perspective. Think about how to abstract away the complexities of interacting with different weather APIs.

We want to be able to add new weather data providers easily (e.g., switch from OpenWeatherMap to AccuWeather or a custom sensor). We also want to be able to support different ways of presenting the data (e.g., Celsius, Fahrenheit, Kelvin; detailed forecast vs. simple current conditions). This requires careful consideration of abstraction, encapsulation, and the proper use of design patterns. The solution should retrieve weather data from a third-party API (using a simplified stub for demonstration purposes), transform it, and expose it to clients. Error handling and retry mechanisms will also be important.

Requirements