Add local data types

[weichenc]

Support TYPE_DISTANCE_DELTA and TYPE_CALORIES_EXPENDED

[gemini-code-assist]

Summary of Changes

Hello @weichenc, 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 introduces support for additional fitness data types, specifically distance and calories expended, within the mobile recording API sample application. It enhances the user interface to allow selection of these new data types and updates the data handling logic to dynamically read and display the chosen fitness metrics.

Highlights

• Expanded Fitness Data Support: The application now supports TYPE_DISTANCE_DELTA and TYPE_CALORIES_EXPENDED in addition to the existing TYPE_STEP_COUNT_DELTA, allowing for a broader range of fitness tracking.
• Dynamic Data Type Selection UI: A new user interface element has been added to the HomeScreen that enables users to easily switch between viewing steps, distance, or calories data.
• Generalized Data Point Values: The fieldValue property in the DataPointData class has been refactored from an Int to a String, providing greater flexibility to represent various data types (e.g., decimal values for distance or calories) without type casting issues.
• Refactored Data Reading Logic: The RecordingAPIonMobileViewModel has been updated to dynamically subscribe to and read raw and aggregated fitness data based on the user's selected data type, improving the modularity and extensibility of the data retrieval process.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in issue comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request adds support for TYPE_DISTANCE_DELTA and TYPE_CALORIES_EXPENDED data types, which is a great enhancement. The changes are generally well-implemented, with updates to the UI for data type selection and corresponding logic in the ViewModel. I've identified a couple of areas for improvement. There's significant code duplication in the ViewModel's data reading methods, which I recommend refactoring for better maintainability and robustness. I've also noted a minor issue with duplicate indices in the preview data for HomeScreen. Overall, good work on expanding the app's functionality.