DLyog IP Checker

DLyog IP Checker is an automated system for validating software code bundles against potential Intellectual Property (IP) risks such as copyright, patent, and trademark violations. It uses an AWS Lambda backend triggered via S3 file upload events, with email reporting and AI analysis powered by Perplexity's Sonar model.

🏗️ Architecture Overview

• CLI Tool (cli/): Prepares and uploads your project source bundle to S3.

• AWS S3: Stores the uploaded ip_bundle.txt. Triggers the Lambda function.

• Lambda Function (lambda/handler.py): Processes the uploaded bundle using the Perplexity Sonar API, and sends results via email.

• GitHub Actions (.github/workflows/):

  • 1_deploy_infra.yml: Creates S3 bucket, Lambda role, permissions.
  • 2_deploy_lambda.yml: Packages and deploys the Lambda code.

🧰 Folder Structure

.
├── cli/                     # CLI commands (push to S3, etc.)
├── infra/                   # Infrastructure-as-code scripts
├── lambda/                  # Lambda function handler
├── .github/workflows/       # GitHub Actions
├── config-template.json     # Template config for CLI use
├── requirements.txt         # Python dependencies
└── theme.png                # Optional image asset

🛠️ Setup Instructions

1. Clone the repository

git clone https://github.com/YOUR_ORG/dlyogip-checker.git
cd dlyogip-checker

2. Set up a self-hosted GitHub Runner

Follow GitHub's guide to register a self-hosted runner tagged with:

self-hosted, Linux, X64, aws, ipchecker

3. Add Repository Secrets

Set the following secrets in your GitHub repo under Settings → Secrets → Actions:

Secret Name	Description
AWS_ACCESS_KEY_ID	IAM user key with Lambda & S3 permissions
AWS_SECRET_ACCESS_KEY	Corresponding secret
API_SECRET_KEY	Used for authenticating (optional legacy)
PERPLEXITY_API_KEY	Your Perplexity Sonar API key
SMTP_HOST	SMTP host for sending report emails
SMTP_PORT	SMTP port (usually 587)
SMTP_USER	SMTP username
SMTP_PASSWORD	SMTP password
TO_EMAIL	Email address to send the report to

4. Deploy the Infrastructure

Run the following GitHub Action manually:

.github/workflows/1_deploy_infra.yml

This will:

• Create the S3 bucket
• Create the Lambda IAM Role
• Set up S3 Event triggers

5. Deploy the Lambda Code

Run the second GitHub Action:

.github/workflows/2_deploy_lambda.yml

This will:

• Package lambda/handler.py
• Upload it to S3
• Create/update the Lambda function
• Configure environment variables

🚀 Running the IP Check

From your local machine:

python cli/dlyogipchecker.py push "$PROJECT_FOLDER_PATH"

This will:

• Bundle all relevant source files (*.py, *.md)
• Upload it to s3://dlyogipchecker-bucket/ip_bundles/ip_bundle.txt
• Automatically trigger the Lambda analysis and send results to the configured TO_EMAIL

📝 Disclaimer

This project uses an AI model to assist with intellectual property risk identification. The results may contain inaccuracies. For legally binding advice or professional review, consult a qualified IP attorney.