-
Notifications
You must be signed in to change notification settings - Fork 23
feat: add documentation and automation for GCP project recreation #165
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
base: main
Are you sure you want to change the base?
Conversation
- Add docs/GCP-RECREATION.md with step-by-step setup guide - Add scripts/setup-gcp.sh to automate API enablement and infrastructure deployment - Refactor AuthManager to support configurable CLIENT_ID and CLOUD_FUNCTION_URL via environment variables - Update README.md with deployment section
Summary of ChangesHello @allenhutchison, 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 the capability for users to deploy and manage their own Google Cloud Platform infrastructure for the extension. It provides a detailed, step-by-step guide and an accompanying automation script to streamline the setup process, alongside necessary code modifications to allow the extension to connect to these user-provisioned cloud resources. This significantly enhances the flexibility and self-sufficiency for users who wish to host their own backend services. Highlights
🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console. Using Gemini Code AssistThe 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
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 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
|
There was a problem hiding this 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 significantly improves the deployment experience by providing detailed documentation and an automation script for setting up the GCP infrastructure. The refactoring of AuthManager to use configurable CLIENT_ID and CLOUD_FUNCTION_URL via environment variables is a great step towards making the extension more flexible and easier to self-host. The new config.ts file centralizes configuration loading effectively. Overall, these changes greatly enhance the maintainability and deployability of the project.
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
This PR adds documentation and scripts to allow users to recreate the Google Cloud Platform project required for this extension.
Changes:
docs/GCP-RECREATION.mdwith a detailed step-by-step guide.scripts/setup-gcp.shto automate API enablement and infrastructure deployment.AuthManagerto support configurableCLIENT_IDandCLOUD_FUNCTION_URLvia environment variables (WORKSPACE_CLIENT_ID,WORKSPACE_CLOUD_FUNCTION_URL).README.mdwith a deployment section.