Error Management System

A comprehensive error detection and management system built with Streamlit.

Features

Error Management

• Real-time error detection and analysis
• Automated error resolution
• Pattern-based error prediction
• Context-aware fixes

Dashboard

• Interactive error monitoring
• Real-time system metrics
• Custom visualization tools
• User-friendly controls

Automation

• Automated testing and validation
• Continuous code quality checks
• Documentation management
• Git repository optimization

Quick Start

1. Setup Project

   ./scripts/project_setup.sh

2. Configure Environment

   • Copy .env.example to .env
   • Update environment variables

3. Run Application

   ./scripts/run.sh

4. Open browser at http://localhost:8502

Development

Prerequisites

• Python 3.9+
• Git
• Virtual environment

Installation

# Clone repository
git clone https://github.com/Victordtesla24/Error-Management-System.git
cd Error-Management-System

# Setup project
./scripts/project_setup.sh

# Install dependencies
pip install -r requirements.txt

Project Structure

error-management-system/
├── src/               # Source code
│   ├── core/         # Core logic
│   ├── dashboard/    # Streamlit interface
│   └── utils/        # Utilities
├── tests/            # Test suite
├── docs/             # Documentation
└── scripts/          # Utility scripts

Running Tests

pytest tests/

Code Quality

./scripts/verify_and_fix.sh --all

Documentation

• User Guide
• API Documentation
• Architecture

Contributing

1. Fork the repository
2. Create feature branch (git checkout -b feature/name)
3. Commit changes (git commit -am 'Add feature')
4. Push branch (git push origin feature/name)
5. Create Pull Request

License

MIT License - see LICENSE for details

---

Built with Streamlit 🎈