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Weather App

Weather App is a robust and user-friendly Android application that provides users with detailed weekly weather forecasts. Designed with a focus on modern Android development practices, this app ensures a seamless and efficient user experience by leveraging the MVVM (Model-View-ViewModel) pattern and Clean Architecture principles.

Home Screen

Key Features

  • Weekly Weather Forecasts: Users can view a comprehensive weather forecast for the upcoming week, including daily temperatures and weather conditions.
  • Coordinate-Based Search: Users can search for weather information based on specific geographic coordinates, making it easy to get accurate weather data for any location.
  • Weather Condition Icons: Visual icons representing different weather conditions, enhancing the user experience by providing quick and intuitive weather status at a glance.
  • Network Error Handling: The app gracefully handles network errors by allowing users to retry fetching data, ensuring a reliable user experience even in less-than-ideal network conditions.
  • Loading and Error States: Visual indicators for loading and error states enhance user experience by providing feedback during data fetching processes.

Architecture

The application is structured following MVVM and Clean Architecture principles, which helps in separating concerns and making the codebase more modular, testable, and maintainable.

Layers

  1. Presentation Layer:

    • UI Components: Built using Jetpack Compose for a modern, declarative UI approach.
    • ViewModels: Manage UI-related data and handle interactions between the UI and the domain layer, ensuring that the UI remains reactive to data changes.

  2. Domain Layer:

    • Use Cases: Encapsulate business logic and coordinate tasks, ensuring that the app's logic is reusable and independent of specific data sources.
    • Domain Models: Define the core data structures used throughout the app.
    • Repository Interfaces: Abstract the data sources, providing a clean API for the domain layer to interact with.
    • Mappers: Transform data between domain models and other layers, ensuring a clean separation and consistent data handling.

  3. Data Layer:

    • Repositories: Implement the repository interfaces, managing data operations and providing a single source of truth for data.
    • Remote Data Sources: Handle network operations, fetching weather data from external APIs.
    • Local Data Sources: (If applicable) Manage data caching and local storage to improve performance and offline capabilities.

Libraries and Tools

  • Kotlin: The primary language used for development, offering modern language features and enhanced readability.
  • Coroutines: Simplify asynchronous programming by providing a straightforward way to manage background tasks and improve performance.
  • Flow: Enable reactive programming, allowing the app to manage and react to state changes efficiently.
  • Dagger-Hilt: Facilitate dependency injection, making it easier to manage dependencies and improve testability.
  • Jetpack Components: Including ViewModel and LiveData, which help manage UI-related data in a lifecycle-conscious way.
  • Mockito: Used for unit testing and mocking dependencies, ensuring the app is thoroughly tested and reliable.
  • JUnit: The primary testing framework, used to write and run unit tests.
  • Retrofit: Simplify network requests and handle RESTful API interactions seamlessly.
  • Gson: Facilitate JSON parsing, making it easy to handle data serialization and deserialization.