Added ai_explain

[validbeck]

Internal Notes for Reviewers

Context: https://validmind.slack.com/archives/C06JS5D1DNV/p1723151422066149

[github-actions]

PR Summary

This pull request introduces a new GitHub Action workflow that automatically generates a detailed summary, test suggestions, code quality assessment, and security assessment for pull requests using OpenAI's API. The workflow is triggered on pull request events (opened and synchronize) and performs the following steps:

1. Checkout Code: Uses the actions/checkout@v3 action to checkout the repository code.
2. Set Up Python: Uses the actions/setup-python@v2 action to set up a Python environment.
3. Install Dependencies: Installs the required Python packages (openai and PyGithub).
4. Explain PR: Runs a Python script (ai_explain.py) that interacts with the GitHub and OpenAI APIs to generate and post a detailed PR review comment.

The Python script (ai_explain.py) performs the following tasks:

1. Initializes GitHub and OpenAI clients using environment variables for authentication.
2. Extracts the pull request number from the GitHub reference.
3. Retrieves the files changed in the pull request and constructs a diff string.
4. Prepares a prompt for the OpenAI API using the constructed diff.
5. Calls the OpenAI API to generate a JSON object containing the PR review details.
6. Posts the generated review as a comment on the pull request, replacing any existing explanation comment from the GitHub Actions bot.

Test Suggestions

• Create a test pull request to verify that the GitHub Action triggers correctly and posts a comment with the PR review details.
• Test the workflow with different types of changes (e.g., new features, bug fixes) to ensure the OpenAI-generated summaries are accurate and useful.
• Verify that the workflow handles edge cases, such as large diffs or non-code changes, gracefully.
• Check that the existing explanation comment is correctly deleted and replaced with the new one.

[cachafla]

👌