ReportGen

ReportGen is an automated letter generation tool designed for compliance and regulatory environments. It streamlines the creation of compliance-related documents while ensuring accuracy and adherence to regulations.

For Users

Overview

ReportGen is hosted at reportgen.straive.app. It offers:

1. VAPT Test Report Generation: Generate a Vulnerability Assessment and Penetration Testing (VAPT) report from pre-loaded data.
2. Custom Report Generation: Upload your own VAPT Excel report for analysis.

How to Use

1. Visit reportgen.straive.app
2. Log in to LLM Foundry if prompted
3. Choose one of the following options:
   • Click "Generate" under "VAPT test" to use pre-loaded data
   • Click "Upload your Excel file here" under "Custom Report" to use your own data
4. View the generated report, including:
   • Executive Summary
   • Security and Threat Prevention analysis
   • Network Utilization charts
   • AI-generated recommendations

Features

• Interactive charts for bandwidth and session usage
• AI-powered recommendations based on report data
• Responsive design for various screen sizes
• Dark mode toggle

For Developers

Project Structure

• index.html: Main HTML file
• script.js: Core JavaScript functionality
• img/: Directory for images used in the report

Adding New Demos

To add a new demo:

1. Update the #demos section in index.html
2. Create a new Excel file (e.g., new-demo.xlsx) with the required data structure:
   • Include a "Summary" sheet with key-value pairs
   • Add additional sheets for specific data sections
3. Update the vaptReport function in script.js to handle the new data structure if needed
4. Modify the chart generation code if the new demo requires different visualizations

Technologies Used

• HTML5, CSS3 (Bootstrap 5.3.3)
• JavaScript (ES6+)
• lit-html for templating
• Chart.js for data visualization
• XLSX library for Excel file parsing
• Marked for Markdown parsing
• LLM Foundry API for AI-generated recommendations

Development Setup

1. Clone the repository
2. Serve the project using a local web server (e.g., python -m http.server)
3. Open http://localhost:8000 in your browser

API Integration

The project uses the LLM Foundry API for generating recommendations. Ensure you have the necessary credentials and update the token retrieval logic in script.js if needed.

Customization

• Modify the vaptReport function in script.js to change the report structure
• Update styles in index.html to customize the appearance
• Adjust chart configurations in script.js for different visualizations