CICD-PIPELINE ASSISTANT

A CDK Python project that helps analyze and fix CI/CD pipeline failures using AWS Bedrock.

Overview

This project deploys AWS resources that monitor your CodePipeline for failures, analyze error messages using Amazon Bedrock, and provide solutions using AI for common pipeline issues.

Getting Started

Prerequisites

• AWS CLI configured
• Python 3.x

Installation

1. Clone the Repository

2. Navigate to the Project Directory

   cd CICD-PIPELINE-ASSISTANT

3. Create a Virtual Environment

   python3 -m venv .venv

4. Activate the Virtual Environment

   On MacOS/Linux:

   source .venv/bin/activate

   On Windows:

   .venv\Scripts\activate.bat

5. Install Dependencies

   pip install -r requirements.txt

Architecture

Deployment

0. Configure your aws account connectivity from you shell

   aws configure

1. Run following file for the deployment

   ./scripts/deploy.sh

Adding Github access token to SecretManager

Add this as plain text in the 'github-credentials' secret created for you while you deploy the stack.

   {"access_token":"<Your_Github_Token>","repo_url":"<https://github.com/><YOUR_USERNAME>/<REPO_NAME>.git"}

Cleanup Resources

./scripts/cleanup.sh

Useful Commands

• cdk ls - List all stacks in the app also checks for the error
• cdk synth - Emit the synthesized CloudFormation template
• cdk deploy - Deploy this stack to your default AWS account/region
• cdk diff - Compare deployed stack with current state
• cdk docs - Open CDK documentation

License

This project is licensed under the MIT License - see the LICENSE file for details.