Introducci贸n a la Integraci贸n Nativa en Android
Integra APIs Nativas en Android
Creaci贸n proyecto base
Google Maps SDK
C贸mo crear una API key para Google Maps en Google Cloud
Creaci贸n de marcadores en Google Maps con Jetpack Compose
C贸mo dibujar rutas en mapas usando polil铆neas en Jetpack Compose
C贸mo enfocar autom谩ticamente mapas usando Camera Update Factory
Quiz: Google Maps SDK
Servicios de Localizaci贸n
Uso de Flows en Kotlin para Controlar Intervalos de Tiempo y Emisi贸n de Datos
C贸mo simular ubicaci贸n en emuladores y dispositivos reales
Creaci贸n de Modelos y C谩lculos de Localizaci贸n con Clean Architecture
Implementaci贸n de Localizaci贸n en Android Usando Flows
Inyecci贸n de dependencia para seguimiento de localizaci贸n en Android
Uso de StateFlows para rastrear ubicaci贸n en aplicaciones Android
Location Tracker
Implementaci贸n de Location Tracker con Inyecci贸n de Dependencias
Quiz: Servicios de Localizaci贸n
Integraci贸n Maps con Localizaci贸n
Integraci贸n de mapas din谩micos con CameraPositionState en Android
Creaci贸n y uso de polil铆neas en mapas con datos reales
Creaci贸n de una pantalla de mapa con Intents y estados en Jetpack Compose
Creaci贸n de un ViewModel para Seguimiento de Localizaci贸n en Android
Quiz: Integraci贸n Maps con Localizaci贸n
Manejo de permisos
Gesti贸n de permisos en Android para localizaci贸n, c谩mara y notificaciones
C贸mo implementar di谩logos para solicitar permisos en Android
Manejo de permisos de localizaci贸n y notificaci贸n en Android
C贸mo gestionar permisos en Android con Jetpack Compose
Quiz: Manejo de permisos
Integraci贸n c谩mara
Integraci贸n de c谩mara en Android con Photo Handler y manejo de permisos
Convierte Bitmaps a ByteArrays en Android con Kotlin
Creaci贸n de intents y estados UI para c谩mara en Android con Kotlin
Implementaci贸n de funciones clave en ViewModel para c谩mara Android
Integrar C谩maraX en Jetpack Compose para Android
Captura y previsualizaci贸n de fotos en Android con Jetpack Compose
C贸mo Mostrar Fotos en Marcadores de Ubicaci贸n en Mapas con Jetpack Compose
Quiz: Integraci贸n c谩mara
Servicios en Android
Implementaci贸n de servicios en Android: normal services y foreground services
Implementar Foreground Services en Android para Persistencia en Segundo Plano
Quiz: Servicios en Android
Transmisiones en Android (Broadcast)
Implementaci贸n de BroadcastReceiver en Android para Escuchar Eventos del Sistema
Pruebas finales y cierre
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The integration of the location component(LocationTracker) is essential when developing quality Android applications. Correctly implementing dependency injection for this component facilitates cleaner and better structured code, clearly separating responsibilities between the domain, data and presentation layers.
To incorporate LocationTracker into the application, dependency injection must be configured in theDataModule. This procedure maintains the independence between layers, making sure that the domain layer is free of any reference to specific technologies or libraries.
Below we show how to correctly insert the dependency using the Provide method:
@Providefun provideLocationTracker( locationObserver: LocationObserver, applicationScope: CoroutineScope): LocationTracker { return LocationTracker(locationObserver, applicationScope)}
This simple method ensures proper separation between project layers, keeping the domain layer clean and avoiding unnecessary references to specific injection mechanisms.
After having properly configured the dependency injection, the next step is to verify the behavior of the LocationTracker in action, emitting data in a controlled environment.
In the MainActivity, which functions as the central testing point, coroutines are used to manage the subscription to the locationdata (locationData) stream. Here, we use the onEach() operator to observe the broadcasts generated by this component:
locationTracker.locationData .onEach { Log.d("locationData", it.toString()) } .launchIn(lifecycleScope)
To activate and deactivate the emissions in a controlled way, we use the component's own methods:
locationTracker.startObserving()
to start the observation.setTrackingIsTrue
to enable explicit tracking.locationTracker.stopObserving()
to end the observation.This handling ensures the correct broadcasting and stopping of data depending on the state and conditions of the user.
During the testing period, especially using an emulator, it is essential to correctly simulate the periodic change of location to verify that the desired emissions are actually being generated.
The following steps are recommended:
With this preparation, you will be able to clearly verify in the log that the emissions are flowing as expected, highlighting clear and consistent regular intervals.
Are you interested in implementing this feature in your app? Let us know in the comments how you plan to use it.
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