AI-Powered Pull Request Reviewer 🚀

PullPal combines the capabilities of OpenAI/Meta-LLama 🧠 and Azure DevOps ⚙️ to automate the review process for pull requests. when triggred by webhook Pullpal fetches active pull requests from Azure DevOps, analyzes the code changes using OpenAI's specified model or Meta-llama, and posts the review comments directly on the pull request threads.

Available Branch

• main - for OpenAI intergration
• Meta-llama - for Meta-llama intergration

How to Use:

Set up Environment Variables:

Create a .env file in the project root.

Add the following environment variables:

OPENAI_API_KEY: Your OpenAI API key. (main branch)

META_LLAMA_URL: your meta_llama_url. (meta_llama branch)

AZURE_ORG_URL: Your Azure DevOps organization URL.

AZURE_PAT: Your Azure DevOps Personal Access Token.

PROJECT_NAME: Your Azure DevOps project name.

REPO_ID: Your Azure DevOps repository ID.

IGNORED_AUTHORS: A comma-separated list of authors to ignore.

IGNORED_FILE_TYPES: List of igonred file types to avoid review.

LOG_PATH: Log path.

LOG_LEVEL: Requested log level for logging.

PRINT_TO_CONSOLE: BOOLEAN eithr print or not to the console.

Run the Script 🏃‍♂️

To run the PullPal bot using Docker 🐋:

1. Build the Docker Image 🛠️:

   docker build -t pullpal-bot .

2.Run the Docker Container 🐋:

docker run -d --env-file .env pullpal-bot

To run Pullpal locally 💻:

1.Create a a virtual env,

python3 -m venv venv

2.Activate the virtual environment:

Linux:

source venv/bin/activate

Windows:

call venv\Scripts\activate

3. Install Dependencies:

pip install -r requirements.txt

4.Run Pullpal

python pullpal.py

Customization:

check .env file for customization,prompt is hardcoded but fill free to adjust

Feel free to fork the repository, make changes, and submit a pull request - issues are available !

MIT License