swatch-slurm 0.1.0

A sleek, modern job monitoring tool for Slurm workload manager

🎯 SWATCH (Slurm Watch)

A sleek, modern job monitoring tool for Slurm workload manager that doesn't make you want to pull your hair out!

🌟 Features

• 🎨 Beautiful dark theme interface
• 🔄 Real-time job status monitoring
• 🔐 Secure SSH authentication
• 🎯 Status-based color coding
• ⚡ Configurable auto-refresh
• 🎮 Drag-and-drop window movement
• 🧪 Test mode for demos and development

🚀 Quick Start

🎮 Command Line Options

Flag	Description	Example
-h, --help	Show help message and exit	python slurm_watch.py --help
-t, --test	Run in test mode with sample data	python slurm_watch.py --test

🎯 Job Status Colors

Status	Color	Description
🟢 Running	Soft Green	Job is actively running
🟡 Pending	Soft Orange	Job is waiting in queue
🔵 Completed	Soft Blue	Job finished successfully
🔴 Failed	Soft Red	Job failed or timed out

⚙️ Configuration

SWATCH automatically saves your configuration in ~/.hpcjobmonitor/config.json. You can:

• 💾 Save login credentials (optional)
• ⏰ Set refresh intervals:
  • 5 seconds
  • 30 seconds
  • 1 minute
  • 5 minutes
  • 10 minutes
  • 30 minutes

🔒 Security Note

When saving credentials, passwords are stored locally. For enhanced security:

• 🚫 Don't save credentials on shared machines
• ✅ Use SSH keys when possible
• 🔑 Ensure ~/.hpcjobmonitor has appropriate permissions

🎨 Interface Features

• 🖱️ Draggable window (click and drag title bar)
• 📊 Sortable job columns
• 🎯 Status indicators
• 📈 Job statistics summary
• ⏱️ Auto-refresh toggle

🤝 Contributing

Found a bug? Want to add a feature? We'd love your help!

1. 🍴 Fork the repository
2. 🌿 Create your feature branch
3. 💾 Commit your changes
4. 📤 Push to the branch
5. 🎯 Open a Pull Request

📝 License

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

🎉 Fun Facts

• The name "SWATCH" comes from "Slurm Watch" (not the watch company! 😉)

🐛 Known Issues

Remember: Happy monitoring! 🚀

📦 Installation

Using pip

pip install swatch-slurm

Using conda

conda install -c conda-forge swatch-slurm

Development Installation

git clone https://github.com/yourusername/swatch.git
cd swatch
pip install -e ".[dev]"