
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.
The following steps will guide you in setting up the code review automation with ***.
Before you begin, you need to have the following:
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.
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: https://docs.github.com/en/actions/security-guides/automatic-token-authentication#modifying-the-permissions-for-the-github_token
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: ChatGPT Code Review # Job name steps: - name: Review code and post comments # Step name uses: moneyforwardvietnam/ai-code-review@v2 # Use the ChatGPT 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:
!https://github.com/moneyforwardvietnam/ai-code-review/assets/***/a308e2c5-b28a-4b22-93bb-6fbae3b23be7



探索更多轩辕镜像的使用方法,找到最适合您系统的配置方式
通过 Docker 登录认证访问私有仓库
无需登录使用专属域名
Kubernetes 集群配置 Containerd
K3s 轻量级 Kubernetes 镜像加速
VS Code Dev Containers 配置
Podman 容器引擎配置
HPC 科学计算容器配置
ghcr、Quay、nvcr 等镜像仓库
Harbor Proxy Repository 对接专属域名
Portainer Registries 加速拉取
Nexus3 Docker Proxy 内网缓存
需要其他帮助?请查看我们的 常见问题Docker 镜像访问常见问题解答 或 提交工单
manifest unknown
no matching manifest(架构)
invalid tar header(解压)
TLS 证书失败
DNS 超时
410 Gone 排查
402 与流量用尽
401 认证失败
429 限流
D-Bus 凭证提示
413 与超大单层
来自真实用户的反馈,见证轩辕镜像的优质服务