Refactor DataLayer method to use coroutines rather than callback.

[kul3r4]

Refactor DataLayer method to use coroutines rather than callback.

[gemini-code-assist]

Summary of Changes

Hello @kul3r4, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request modernizes asynchronous operations within the Wear OS data layer by adopting Kotlin Coroutines, specifically through the integration of kotlinx-coroutines-play-services. The changes streamline the handling of asynchronous tasks, making the code more readable and maintainable. Additionally, it introduces new example code and resource definitions for managing Wear OS app capabilities and detecting phone device types, enhancing the overall utility and clarity of the Wear OS development examples.

Highlights

• Coroutine Integration: Integrated kotlinx-coroutines-play-services to enable modern asynchronous programming patterns using Kotlin Coroutines for Wear OS data layer operations.
• Data Layer Refactoring: Refactored the DataLayerActivity.kt to utilize suspend functions and await() for handling asynchronous data layer operations, replacing callback-based approaches with cleaner, sequential code.
• New Wear OS Snippets and Capabilities: Added new code snippets for standalone Wear OS app capabilities and phone device type detection, along with new resource files for defining app capabilities for both the Wear OS and companion phone applications.

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[gemini-code-assist]

Code Review

This pull request refactors data layer calls to use Kotlin coroutines by introducing the kotlinx-coroutines-play-services dependency. The asynchronous data sending logic is now cleaner and more idiomatic using suspend functions and await(). I've added a couple of comments regarding code style and variable declarations to improve code quality and maintainability. Overall, this is a good improvement that modernizes the codebase.

[kkuan2011]

LGTM from snippets repo perspective