Skip to content

Conversation

@nighca
Copy link
Collaborator

@nighca nighca commented Dec 10, 2025

close #2571.

@gemini-code-assist
Copy link

Summary of Changes

Hello @nighca, 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 establishes the foundational modeling for AI-generated content (AIGC) within the application. It introduces a structured approach to generating backdrops, costumes, and sprites by defining clear states and workflows for each asset type, from initial input to enriched settings and final generation. This integration aims to streamline the creation of project assets using AI capabilities.

Highlights

  • New AIGC API Functions: Introduced a suite of new asynchronous functions in aigc.ts for enriching settings and generating various assets like backdrops, costumes, animations, and sprites. These functions include enrichBackdropSettings, genBackdropImage, enrichCostumeSettings, genCostumeImage, enrichAnimationSettings, genAnimationFrames, genAnimationVideo, enrichSpriteSettings, and genSpriteContentDescriptions.
  • Generation Model Classes: Added three new model classes: BackdropGen, CostumeGen, and SpriteGen. Each class is responsible for managing the state and workflow of generating its respective asset type, encompassing phases like 'initial', 'enriching', 'enriched', 'generating', 'generate-failed', and 'generated'.
  • State Management Integration: The new generation model classes leverage Vue's reactive utility for state management, ensuring that changes to the generation process are automatically reflected in the UI.
  • Utility Import: The timeout utility from @/utils/utils has been imported into aigc.ts to manage request timeouts for AIGC API calls.
  • New Type Definitions: Defined new types such as AnimationFrames, SpriteContentDescription, and SpriteContentDescriptions to structure the data related to generated animation frames and sprite content.
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 by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

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 pull request 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.

Copy link

@gemini-code-assist gemini-code-assist bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request introduces models and mock API endpoints for AI-powered generation of backdrops, costumes, and sprites. The overall approach of using a state machine for the generation process is sound. However, there are a couple of critical issues related to incorrect or missing function calls that will prevent the code from compiling. Additionally, there is significant code duplication across the newly added model classes (BackdropGen, CostumeGen, SpriteGen), which presents an opportunity for refactoring into a more maintainable generic base class. I've provided specific comments and suggestions to address these points.

@xgopilot

This comment was marked as resolved.

@nighca nighca changed the title Model Generation AIGC Generation-related models Dec 17, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant