fabric-generic-cluster 1.0.15

Comprehensive Python framework for managing FABRIC testbed generic clusters and slices

fabric-generic-cluster

A comprehensive, type-safe Python framework for managing FABRIC testbed slices with support for complex network topologies, DPU interfaces, multi-OS configurations, and various hardware components.

🌟 Features

Core Capabilities

• ✅ Type-Safe Data Models - Pydantic-based topology definitions with automatic validation
• ✅ DPU Interface Support - Full support for DPU network interfaces alongside traditional NICs
• ✅ Multi-OS Support - Automatic detection and configuration for Rocky Linux, Ubuntu, and Debian
• ✅ Hardware Components - Full support for GPUs, FPGAs, DPUs, NVMe, and custom NICs
• ✅ Network Management - L2/L3 network configuration with IPv4/IPv6 support
• ✅ SSH Automation - Passwordless SSH setup across all nodes
• ✅ Visualization - Multiple output formats (text, ASCII, graphs, tables)
• ✅ Easy Installation - Available on PyPI via pip install
• ✅ Modular Design - Separated concerns for better maintainability

Hardware Support

• GPUs - NVIDIA RTX series, Tesla T4, A30, A40
• FPGAs - Xilinx Alveo U280, U50, U250
• DPUs - ConnectX-7 100G/400G Data Processing Units with network interfaces
• NVMe - Intel P4510, P4610 NVMe storage
• NICs - Basic, ConnectX-5, ConnectX-6, SharedNICs, SmartNICs
• Persistent Storage - Volume management

📋 Table of Contents

• Installation
• Quick Start
• Package Structure
• Usage Examples
• API Reference
• Command-Line Tools
• Development
• Documentation
• Contributing

🚀 Installation

From PyPI (Recommended)

pip install fabric-generic-cluster

From Source

git clone https://github.com/mcevik0/fabric-generic-cluster.git
cd fabric-generic-cluster
pip install -e .

Prerequisites

• Python 3.9 or higher
• Access to FABRIC testbed
• fabrictestbed-extensions>=1.4.0 (installed automatically)

Verify Installation

import fabric_generic_cluster
print(fabric_generic_cluster.__version__)

🎯 Quick Start

Option 1: Python Script

from fabric_generic_cluster import (
    load_topology_from_yaml_file,
    deploy_topology_to_fabric,
    configure_l3_networks,
    configure_node_interfaces,
    setup_passwordless_ssh,
)

# Load topology
topology = load_topology_from_yaml_file("topology.yaml")

# Deploy to FABRIC
slice = deploy_topology_to_fabric(topology, "my-cluster")

# Configure networks (if using L3 networks)
configure_l3_networks(slice, topology)

# Configure interfaces
configure_node_interfaces(slice, topology)

# Setup SSH
setup_passwordless_ssh(slice)

print("✅ Cluster deployed and configured!")

Option 2: Using the Example Script

# Clone the repository for examples
git clone https://github.com/mcevik0/fabric-generic-cluster.git
cd fabric-generic-cluster

# Run the complete deployment example
python examples/complete-deployment-example.py \
    --yaml path/to/topology.yaml \
    --slice-name my-test-slice

Option 3: Jupyter Notebooks

For interactive workflows, check out the fabric-generic-cluster-notebooks repository:

git clone https://github.com/mcevik0/fabric-generic-cluster-notebooks.git
cd fabric-generic-cluster-notebooks
jupyter notebook

📦 Package Structure

fabric-generic-cluster/
├── fabric_generic_cluster/          # Main package
│   ├── __init__.py                  # Package exports
│   ├── models.py                    # Pydantic models for topology
│   ├── deployment.py                # Slice deployment functions
│   ├── network_config.py            # Network configuration
│   ├── ssh_setup.py                 # SSH management
│   ├── topology_viewer.py           # Visualization tools
│   ├── builder_compat.py            # Backward compatibility
│   └── tools/                       # Command-line tools
│       ├── __init__.py
│       └── topology_summary.py      # Topology summary generator
│
├── examples/                        # Usage examples
│   └── complete-deployment-example.py
│
├── tests/                          # Test suite
│   ├── test-dpu-support.py
│   └── test-fpga-support.py
│
├── pyproject.toml                  # Package metadata
├── setup.py                        # Setup configuration
├── MANIFEST.in                     # Package data
├── LICENSE                         # MIT License
└── README.md                       # This file

📚 Usage Examples

Example 1: Load and Explore Topology

from fabric_generic_cluster import (
    load_topology_from_yaml_file,
    print_topology_summary,
    draw_topology_graph,
)

# Load topology
topology = load_topology_from_yaml_file("topology.yaml")

# Print summary
print_topology_summary(topology)

# Create visualization
draw_topology_graph(topology, show_ip=True, save_path="topology.png")

Example 2: Deploy Multi-Site Cluster

from fabric_generic_cluster import (
    load_topology_from_yaml_file,
    deploy_topology_to_fabric,
    configure_node_interfaces,
    verify_node_interfaces,
)

# Load topology with nodes at multiple sites
topology = load_topology_from_yaml_file("multi-site-topology.yaml")

# Deploy
slice = deploy_topology_to_fabric(topology, "multi-site-cluster")

# Configure all nodes
configure_node_interfaces(slice, topology)

# Verify configuration
verify_node_interfaces(slice, topology)

Example 3: Access Type-Safe Data

from fabric_generic_cluster import load_topology_from_yaml_file

topology = load_topology_from_yaml_file("topology.yaml")

# Get specific node
node = topology.get_node_by_hostname("node-1")

print(f"Node: {node.hostname}")
print(f"Site: {node.site}")
print(f"CPU: {node.capacity.cpu} cores")
print(f"RAM: {node.capacity.ram} GB")

# Check hardware components
if node.pci.dpu:
    print(f"DPUs: {len(node.pci.dpu)}")
    for dpu_name, dpu in node.pci.dpu.items():
        print(f"  - {dpu_name}: {dpu.model}")
        print(f"    Interfaces: {len(dpu.interfaces)}")

if node.pci.fpga:
    print(f"FPGAs: {len(node.pci.fpga)}")
    for fpga_name, fpga in node.pci.fpga.items():
        print(f"  - {fpga_name}: {fpga.model}")

# Get all interfaces (NIC + DPU)
all_interfaces = node.get_all_interfaces()
print(f"\nTotal interfaces: {len(all_interfaces)}")

for device_name, iface_name, iface in all_interfaces:
    device_type = "DPU" if device_name.startswith("dpu") else "NIC"
    print(f"{device_type} {device_name}.{iface_name}: {iface.binding}")

Example 4: Test Network Connectivity

from fabric_generic_cluster import (
    get_slice,
    load_topology_from_yaml_file,
    ping_network_from_node,
    verify_ssh_access,
)

# Get existing slice
slice = get_slice("my-cluster")
topology = load_topology_from_yaml_file("topology.yaml")

# Test ping connectivity
ping_results = ping_network_from_node(
    slice, 
    topology, 
    source_hostname="node-1", 
    network_name="network1",
    count=3
)

if all(ping_results.values()):
    print("✅ All ping tests passed!")

# Test SSH access
ssh_results = verify_ssh_access(
    slice,
    topology,
    source_hostname="node-1",
    network_name="network1"
)

if all(ssh_results.values()):
    print("✅ All SSH connections successful!")

Example 5: Using Module-Style Imports

For compatibility with existing code:

from fabric_generic_cluster import deployment as sd
from fabric_generic_cluster import network_config as snc
from fabric_generic_cluster import ssh_setup as ssh
from fabric_generic_cluster import load_topology_from_yaml_file

# Load topology
topology = load_topology_from_yaml_file("topology.yaml")

# Deploy
slice = sd.deploy_topology_to_fabric(topology, "my-slice")

# Configure
snc.configure_node_interfaces(slice, topology)
ssh.setup_passwordless_ssh(slice)

🔧 API Reference

Models and Loaders

from fabric_generic_cluster import (
    SiteTopology,              # Main topology model
    Node,                      # Node model
    Network,                   # Network model
    load_topology_from_yaml_file,   # Load from YAML file
    load_topology_from_dict,        # Load from dictionary
)

Deployment Functions

from fabric_generic_cluster import (
    deploy_topology_to_fabric,   # Deploy slice to FABRIC
    configure_l3_networks,        # Configure L3 networks
    get_slice,                    # Get existing slice
    delete_slice,                 # Delete slice
    check_slices,                 # List all slices
)

# Usage
slice = deploy_topology_to_fabric(topology, "slice-name")
configure_l3_networks(slice, topology)

Network Configuration

from fabric_generic_cluster import (
    configure_node_interfaces,    # Configure all interfaces
    verify_node_interfaces,       # Verify configuration
    ping_network_from_node,       # Test connectivity
    update_hosts_file_on_nodes,   # Update /etc/hosts
)

# Usage
configure_node_interfaces(slice, topology)
verify_node_interfaces(slice, topology)

SSH Setup

from fabric_generic_cluster import (
    setup_passwordless_ssh,       # Complete SSH setup
    verify_ssh_access,            # Verify SSH connectivity
)

# Usage
setup_passwordless_ssh(slice)
results = verify_ssh_access(slice, topology, "node-1", "network1")

Visualization

from fabric_generic_cluster import (
    print_topology_summary,       # Detailed summary
    print_compact_summary,        # Brief summary
    draw_topology_graph,          # Visual graph
)

# Usage
print_topology_summary(topology)
draw_topology_graph(topology, show_ip=True, save_path="topology.png")

🛠️ Command-Line Tools

Topology Summary Generator

The package includes a command-line tool for generating topology summaries:

# Generate summary for a YAML file
fabric-topology-summary input.yaml --output output.yaml

# Just print summary without modifying file
fabric-topology-summary input.yaml --dry-run

# Include ASCII diagram
fabric-topology-summary input.yaml --ascii --output output.yaml

This tool is automatically installed when you install the package.

💻 Development

Setting Up Development Environment

# Clone repository
git clone https://github.com/mcevik0/fabric-generic-cluster.git
cd fabric-generic-cluster

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install in editable mode with dev dependencies
pip install -e ".[dev]"

Running Tests

# Run test suite
pytest tests/

# Run specific test
python tests/test-dpu-support.py
python tests/test-fpga-support.py

Building the Package

# Install build tools
pip install build twine

# Build distribution
python -m build

# Check package
twine check dist/*

# Test upload to TestPyPI
twine upload --repository testpypi dist/*

# Upload to PyPI
twine upload dist/*

Code Style

# Format code
black fabric_generic_cluster/

# Check style
flake8 fabric_generic_cluster/

📖 Documentation

Comprehensive Guides

• Getting Started: See Quick Start above
• Jupyter Notebooks: fabric-generic-cluster-notebooks
• YAML Format: Detailed topology format documentation in notebooks repository
• API Reference: See API Reference above

Example Topologies

Example YAML topology files are available in the notebooks repository:

• Basic 2-node cluster
• Multi-site deployment
• Storage cluster with NVMe
• DPU/SmartNIC configurations
• FPGA-enabled topologies
• OpenStack deployment variants

YAML Topology Format

site_topology:
  nodes:
    node-1:
      hostname: node-1
      site: SITE1
      capacity:
        cpu: 8
        ram: 32
        disk: 100
        os: default_rocky_9
      nics:
        nic1:
          interfaces:
            iface1:
              binding: network1
              ipv4_address: 10.0.1.1
              ipv4_netmask: 255.255.255.0
      pci:
        dpu:
          dpu1:
            model: NIC_ConnectX_7_100
            interfaces:
              iface1:
                binding: network1
                ipv4_address: 10.0.1.10

  networks:
    network1:
      name: network1
      type: L2Bridge
      subnet: 10.0.1.0/24

🤝 Contributing

Contributions are welcome! Here's how you can help:

1. Report bugs: Open an issue on GitHub
2. Suggest features: Open an issue with your idea
3. Submit PRs: Fork, make changes, and submit a pull request

Contribution Guidelines

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Development Workflow

1. Update code in fabric_generic_cluster/
2. Add tests in tests/
3. Update documentation
4. Run tests: pytest tests/
5. Build package: python -m build
6. Test locally: pip install dist/*.whl

📊 Performance

• Validation Speed: ~10ms for typical topology (3-10 nodes)
• Deployment Time: Depends on FABRIC (typically 5-10 minutes)
• Network Config: ~30 seconds per node
• SSH Setup: ~1-2 minutes for 3-node cluster

🗺️ Roadmap

• Type-safe Pydantic models
• DPU interface support
• Multi-distro support (Rocky/Ubuntu/Debian)
• L2/L3 network configuration
• Automated SSH setup
• PyPI package distribution
• Web-based topology editor
• Ansible playbook integration
• Monitoring and metrics collection
• REST API endpoint

🐛 Troubleshooting

Import Issues

Problem: ModuleNotFoundError: No module named 'fabric_generic_cluster'

Solution:

pip install fabric-generic-cluster

YAML File Not Found

Problem: FileNotFoundError when loading topology

Solution: Use absolute paths or ensure YAML file is in current directory:

from pathlib import Path

yaml_file = Path("path/to/topology.yaml")
topology = load_topology_from_yaml_file(str(yaml_file))

DPU Interfaces Not Detected

Problem: DPU interfaces not showing up

Solution: Verify DPU configuration in YAML:

node = topology.get_node_by_hostname("node-1")
print(f"DPUs: {node.pci.dpu}")

# Check all interfaces
all_ifaces = node.get_all_interfaces()
print(f"Total interfaces: {len(all_ifaces)}")

Network Configuration Fails

Problem: Interface configuration errors

Solution:

1. Check L3 networks are configured first: configure_l3_networks(slice, topology)
2. Ensure nodes are active: slice.wait()
3. Verify OS detection: Check logs for supported distro

📄 License

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

🙏 Acknowledgments

• Built for the FABRIC Testbed
• Uses Pydantic for data validation
• Network visualization with NetworkX and Matplotlib

📞 Support

• 📧 Issues: GitHub Issues
• 📚 Documentation: fabric-generic-cluster-notebooks
• 💬 FABRIC Slack: FABRIC Workspace
• 🌐 FABRIC Help: FABRIC Learn

📦 Related Repositories

• Jupyter Notebooks: fabric-generic-cluster-notebooks - Example notebooks and topology files
• PyPI Package: fabric-generic-cluster - Install via pip

🔗 Links

• GitHub: https://github.com/mcevik0/fabric-generic-cluster
• PyPI: https://pypi.org/project/fabric-generic-cluster/
• Documentation: https://github.com/mcevik0/fabric-generic-cluster-notebooks
• FABRIC Testbed: https://fabric-testbed.net/

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Made with ❤️ for the FABRIC Community

Author: Mert Cevik (@mcevik0)