Fix setting of env vars in gcloud deploy

[kongzii]

Summary by CodeRabbit

• Refactor
  • Improved how API keys are handled during deployment, enhancing security and reliability.

[coderabbitai]

Walkthrough

The recent update focuses on enhancing the deployment process for the prediction market agent tooling on Google Cloud Platform. Specifically, the modification involves a more secure and efficient handling of API keys during deployment by setting each key as an individual environment variable rather than concatenating them into a single string. This change aims to improve both the security and clarity of the deployment command.

Changes

File Path	Change Summary
.../deploy/gcp/utils.py	Updated gcloud_deploy_cmd to individually set api_keys as environment variables

🐇
In the land of code and cloud,
A change was made, simple and proud.
Keys like rabbits, once in a line,
Now hop in their spaces, distinct and fine.
🌟🚀🐾

Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

Share

• X
• Mastodon
• Reddit
• LinkedIn

---

Tips

Chat

There are 3 ways to chat with CodeRabbit:

• Review comments: Directly reply to a review comment made by CodeRabbit. Example:
  • I pushed a fix in commit <commit_id>.
  • Generate unit-tests for this file.
• Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
  • @coderabbitai generate unit tests for this file.
  • @coderabbitai modularize this function.
• PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
  • @coderabbitai generate interesting stats about this repository from git and render them as a table.
  • @coderabbitai show all the console.log statements in this repository.
  • @coderabbitai read src/utils.ts and generate unit tests.
  • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (invoked as PR comments)

• @coderabbitai pause to pause the reviews on a PR.
• @coderabbitai resume to resume the paused reviews.
• @coderabbitai review to trigger a review. This is useful when automatic reviews are disabled for the repository.
• @coderabbitai resolve resolve all the CodeRabbit review comments.
• @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configration File (.coderabbit.yaml)

• You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
• The JSON schema for the configuration file is available here.
• If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/coderabbit-overrides.v2.json

CodeRabbit Discord Community

Join our Discord Community to get help, request features, and share feedback.

[coderabbitai]

Review Status

Actionable comments generated: 1

Configuration used: CodeRabbit UI

Commits

Files that changed from the base of the PR and between e876089 and fccf21b.

Files selected for processing (1)

• prediction_market_agent_tooling/deploy/gcp/utils.py (2 hunks)

[coderabbitai]

The loop correctly iterates over api_keys to set environment variables individually. However, this approach may lead to a command length limit issue if there are many API keys. Consider batching the environment variables or checking for command length limits.