mfvdevops/ai-code-review Docker 镜像 - 轩辕镜像

Code Review with ***

This project aims to automate code review using the *** language model. It integrates with Github Actions, and upon receiving a Pull Request, it automatically sends each code review to *** for suggestion and generate description.

Setup

The following steps will guide you in setting up the code review automation with ***.

Prerequisites

Before you begin, you need to have the following:

• An OpenAI API Key. You will need a personal API key from OpenAI which you can get here: [] To get an OpenAI API key, you can sign up for an account on the OpenAI website [] Once you have signed up, you can create a new API key from your account settings.
• A Github account and a Github repository where you want to use the code review automation.

Step 1: Create a Secret for your OpenAI API Key

Create a secret for your OpenAI API Key in your Github repository or organization with the name openai_api_key. This secret will be used to authenticate with the OpenAI API.

You can do this by going to your repository/organization's settings, navigate to secrets and create a new secret with the name openai_api_key and paste your OpenAI API key as the value.

Step 2: Adjust Permissions

Then you need to set up your project's permissions so that the Github Actions can write comments on Pull Requests. You can read more about this here: automatic-token-authentication

Step 3: Create a new Github Actions workflow in your repository in `.github/workflows/code-review.yaml. A sample workflow is given below:

name: Auto Code Review

on:
  pull_request: # Trigger the workflow on pull request events
    types: [opened, synchronize] # Run the workflow when pull request is opened or synchronized

jobs:
  code-review: # Define the job name
    permissions:
      contents: read
      pull-requests: write
    runs-on: ubuntu-latest # Specify the runner to run the job on
    name: *** Code Review # Job name
    steps:
      - name: Review code and post comments # Step name
        uses: moneyforwardvietnam/ai-code-review@v2 # Use the *** Github Actions from moneyforwardvietnam repository
        with:
          openai_api_key: ${{ secrets.OPENAI_API_KEY }} # Get the OpenAI API key from repository secrets
          github_token: ${{ secrets.GITHUB_TOKEN }} # Get the Github Token from repository secrets
          github_pr_id: ${{ github.event.number }} # Get the Github Pull Request ID from the Github event
          openai_engine: "gpt-4o" # Optional: specify the OpenAI engine to use. Default is "gpt-3.5-turbo"
          openai_temperature: 0 # Optional: specify the sampling temperature for OpenAI. Default is 0
          openai_max_tokens: 1024 # Optional: specify the maximum number of tokens to generate in OpenAI completion. Default is 1024
          auto_pr_descriptions: "true" # Optional: Enable or disable auto fill pull request descriptions. Default is true
          auto_code_review: "false" # Optional: Enable or disable auto code review for pull request. Default is true
          custom_openai_prompt: "" # Optional: Custom openai prompt for your needs. Leave it blank for default

In the above workflow, the pull_request event triggers the workflow whenever a pull request is opened or synchronized. The workflow runs on the ubuntu-latest runner and uses the moneyforwardvietnam/ai-code-review@v2 action.

The openai_api_key is passed from the secrets context, and the github_token is also passed from the secrets context. The github_pr_id is passed from the github.event.number context. The other three input parameters, openai_engine, openai_temperature, and openai_max_tokens, are optional and have default values.

PR Description will appear like this:

!image

Built With

• OpenAI - The AI platform used
• Github Actions - Automation platform