Feature Request: Improve glucose balancing under extreme weather conditions

Many people with type 1 diabetes experience noticeable changes in blood glucose levels during extreme weather, particularly during hot or freezing conditions.
I’d like to propose a new feature that integrates weather data (e.g., via an official meteorological API) into the balancing logic, so that environmental conditions can be taken into account dynamically.
This could help improve accuracy and safety for users during unusual climate events.

Let me know if this idea aligns with the project’s direction — I’d be happy to discuss possible implementation strategies.

The issue names no files, tests, or entry points. Start by locating the glucose-balancing logic and reviewing how external data sources are handled; done would require an agreed weather-data source, defined behavior for extreme conditions, and project tests covering the resulting changes.