Introducci贸n a la Integraci贸n Nativa en Android

1

Integra APIs Nativas en Android

2

Creaci贸n proyecto base

Google Maps SDK

3

C贸mo crear una API key para Google Maps en Google Cloud

4

Creaci贸n de marcadores en Google Maps con Jetpack Compose

5

C贸mo dibujar rutas en mapas usando polil铆neas en Jetpack Compose

6

C贸mo enfocar autom谩ticamente mapas usando Camera Update Factory

Quiz: Google Maps SDK

Servicios de Localizaci贸n

7

Uso de Flows en Kotlin para Controlar Intervalos de Tiempo y Emisi贸n de Datos

8

C贸mo simular ubicaci贸n en emuladores y dispositivos reales

9

Creaci贸n de Modelos y C谩lculos de Localizaci贸n con Clean Architecture

10

Implementaci贸n de Localizaci贸n en Android Usando Flows

11

Inyecci贸n de dependencia para seguimiento de localizaci贸n en Android

12

Uso de StateFlows para rastrear ubicaci贸n en aplicaciones Android

13

Location Tracker

14

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

15

Integraci贸n de mapas din谩micos con CameraPositionState en Android

16

Creaci贸n y uso de polil铆neas en mapas con datos reales

17

Creaci贸n de una pantalla de mapa con Intents y estados en Jetpack Compose

18

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

19

Gesti贸n de permisos en Android para localizaci贸n, c谩mara y notificaciones

20

C贸mo implementar di谩logos para solicitar permisos en Android

21

Manejo de permisos de localizaci贸n y notificaci贸n en Android

22

C贸mo gestionar permisos en Android con Jetpack Compose

Quiz: Manejo de permisos

Integraci贸n c谩mara

23

Integraci贸n de c谩mara en Android con Photo Handler y manejo de permisos

24

Convierte Bitmaps a ByteArrays en Android con Kotlin

25

Creaci贸n de intents y estados UI para c谩mara en Android con Kotlin

26

Implementaci贸n de funciones clave en ViewModel para c谩mara Android

27

Integrar C谩maraX en Jetpack Compose para Android

28

Captura y previsualizaci贸n de fotos en Android con Jetpack Compose

29

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

30

Implementaci贸n de servicios en Android: normal services y foreground services

31

Implementar Foreground Services en Android para Persistencia en Segundo Plano

Quiz: Servicios en Android

Transmisiones en Android (Broadcast)

32

Implementaci贸n de BroadcastReceiver en Android para Escuchar Eventos del Sistema

33

Pruebas finales y cierre

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Implementaci贸n de Location Tracker con Inyecci贸n de Dependencias

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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.

How to perform dependency injection for LocationTracker?

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.

How to test data broadcasting in LocationTracker?

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.
  • Set possible intervals with 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.

How to validate continuous broadcasts with simulated locations?

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:

  • Use IDE tools to simulate the constant emission of positions.
  • Configure a suitable interval of location generation (example: emission of changes every second).

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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