Cisco Network Diagram

Quick Start Workflow

1. Parse configurations - Extract topology data from config files
2. Build topology model - Create device and connection objects
3. Generate diagram - Use drawio-network-plot to create XML
4. Save output - Write to /mnt/user-data/outputs/network-diagram.drawio

Parsing Cisco Configurations

Key Data to Extract

Extract these elements from Cisco configs:

Device Information:

• Hostname: hostname <name>
• Device type: Infer from model (router/switch/firewall/L3 switch)
• Management IP: interface <mgmt> + ip address

Interface Details:

• Interface name, status, IP address, subnet mask
• VLANs: switchport access vlan, switchport trunk allowed vlan
• Descriptions: description <text>
• Speed/duplex settings

Layer 2 Connections:

• CDP neighbors: Parse show cdp neighbors detail output
• LLDP neighbors: Parse show lldp neighbors detail output
• Port channels: interface Port-channel, member interfaces

Layer 3 Information:

• Static routes: ip route
• OSPF: router ospf, network statements, areas
• BGP: router bgp, neighbors, AS numbers
• EIGRP: router eigrp, network statements
• HSRP/VRRP: standby, vrrp configurations

Important: Use references/cisco-parser.md for detailed parsing patterns and regular expressions for each configuration type.

Using drawio-network-plot

Basic Structure

from drawio_network_plot import create_graph, Node, Edge

# Create graph
graph = create_graph(filename="network.drawio", direction="LR")

# Add devices as nodes
router = Node(
    id="rtr1",
    label="Core-Router-01",
    device_type="router",
    ip_address="10.0.0.1"
)
graph.add_node(router)

# Add connections as edges
link = Edge(
    source="rtr1",
    target="sw1",
    label="Gi0/0/0 → Gi1/0/1\n10.1.1.0/30"
)
graph.add_edge(link)

# Generate diagram
graph.draw()

Device Types and Icons

Map Cisco devices to appropriate icons:

• Router: device_type="router" - Routers, multilayer switches doing L3
• Switch: device_type="switch" - L2 switches, access switches
• Firewall: device_type="firewall" - ASA, Firepower
• Server: device_type="server" - Services, appliances
• Cloud: device_type="cloud" - Internet, WAN, external networks
• PC: device_type="pc" - End devices, workstations

Layout Strategies

Hierarchical (Top-Down):

graph = create_graph(filename="network.drawio", direction="TB")

Best for: Core → Distribution → Access topologies

Left-to-Right:

graph = create_graph(filename="network.drawio", direction="LR")

Best for: Service chains, data flows, sequential processing

Manual Positioning:

node = Node(id="sw1", label="Switch", x=100, y=200, width=120, height=80)

Best for: Complex topologies, specific physical layouts, data center rows

Edge Labeling Best Practices

Include relevant information on connection labels:

# L3 Point-to-Point
Edge(label="Gi0/0 → Gi0/1\n10.1.1.0/30\nOSPF Area 0")

# L2 Trunk
Edge(label="Trunk\nVLANs: 10,20,30,100\n1Gbps")

# Port Channel
Edge(label="Po1 (LACP)\nGi0/1-2\n2Gbps")

Complete Workflow Example

Use scripts/generate_network_diagram.py for a complete implementation:

python scripts/generate_network_diagram.py <config_directory> <output_file>

Or follow this manual workflow:

import re
from drawio_network_plot import create_graph, Node, Edge

# 1. Parse configurations
devices = {}
connections = []

for config_file in config_files:
    # Parse device info
    hostname = extract_hostname(config_file)
    device_type = infer_device_type(config_file)
    mgmt_ip = extract_mgmt_ip(config_file)
    
    devices[hostname] = {
        'type': device_type,
        'mgmt_ip': mgmt_ip,
        'interfaces': extract_interfaces(config_file)
    }
    
    # Parse CDP neighbors to find connections
    cdp_neighbors = parse_cdp_neighbors(config_file)
    for neighbor in cdp_neighbors:
        connections.append({
            'source': hostname,
            'source_int': neighbor['local_interface'],
            'target': neighbor['device_id'],
            'target_int': neighbor['remote_interface']
        })

# 2. Create graph
graph = create_graph(filename="network.drawio", direction="TB")

# 3. Add devices
for hostname, info in devices.items():
    node = Node(
        id=hostname,
        label=f"{hostname}\n{info['mgmt_ip']}",
        device_type=info['type']
    )
    graph.add_node(node)

# 4. Add connections (deduplicate bidirectional links)
seen_connections = set()
for conn in connections:
    conn_key = tuple(sorted([
        f"{conn['source']}:{conn['source_int']}", 
        f"{conn['target']}:{conn['target_int']}"
    ]))
    
    if conn_key not in seen_connections:
        edge = Edge(
            source=conn['source'],
            target=conn['target'],
            label=f"{conn['source_int']} ↔ {conn['target_int']}"
        )
        graph.add_edge(edge)
        seen_connections.add(conn_key)

# 5. Generate diagram
graph.draw()

Advanced Features

Multi-Layer Diagrams

Create separate diagrams for different network layers:

Physical Layer: All devices and physical connections Logical Layer: VLANs, broadcast domains, subnets Layer 3: Routers, routing protocols, subnets Security Zones: Firewalls, ACLs, security boundaries

Grouping and Containers

Use containers for logical grouping:

from drawio_network_plot import Container

# Create data center container
dc1 = Container(
    id="dc1",
    label="Data Center 1",
    children=["rtr1", "sw1", "sw2", "fw1"]
)
graph.add_container(dc1)

Styling and Customization

Customize colors for different device roles:

node = Node(
    id="core-rtr",
    label="Core Router",
    device_type="router",
    fill_color="#FF6B6B",  # Red for core devices
    font_color="#FFFFFF"
)

Adding Metadata

Include additional information as node properties:

node = Node(
    id="rtr1",
    label="Core-Router-01",
    device_type="router",
    metadata={
        "model": "ISR4451-X",
        "ios_version": "17.6.3",
        "location": "Building A - MDF",
        "serial": "FDO2148B0X1"
    }
)

Handling Complex Topologies

Large Networks (50+ devices)

For large topologies:

1. Create hierarchical sub-diagrams by location or function
2. Use containers to group related devices
3. Generate separate diagrams for L2 and L3 views
4. Create summary diagrams showing only core infrastructure

Redundant Paths

Show redundancy clearly:

# Primary path
edge1 = Edge(source="rtr1", target="rtr2", label="Primary\nGi0/0", style="solid")
# Backup path  
edge2 = Edge(source="rtr1", target="rtr2", label="Backup\nGi0/1", style="dashed")

MPLS/VPN Topologies

Represent virtual connections:

# VPN tunnel
vpn_edge = Edge(
    source="site1-rtr",
    target="site2-rtr",
    label="IPsec VPN\n10.100.0.0/24",
    style="dashed",
    color="#0066CC"
)

Output and Delivery

1. Save to outputs directory:

import shutil
shutil.move("network.drawio", "/mnt/user-data/outputs/network-diagram.drawio")

2. Generate multiple formats if needed:

   • Primary: .drawio (editable XML)
   • Export via Draw.io: PNG, SVG, PDF

3. Provide user with link:

print("[View your network diagram](computer:///mnt/user-data/outputs/network-diagram.drawio)")

Troubleshooting

Issue: Overlapping nodes Solution: Use manual positioning or adjust layout direction

Issue: Missing connections
Solution: Verify CDP/LLDP data parsing, check for hostname mismatches

Issue: Incorrect device types Solution: Review device type inference logic, use explicit type mapping

Issue: Too much information on diagram Solution: Create multiple focused diagrams (L2, L3, security) instead of one complex diagram

Best Practices

1. Start simple: Begin with physical connectivity, add layers incrementally
2. Validate data: Cross-reference parsed data with source configs before generating diagram
3. Use meaningful labels: Include interface names, IP addresses, and protocol info
4. Group logically: Use containers for sites, VLANs, or security zones
5. Handle missing data gracefully: Use placeholder values when CDP/LLDP is unavailable
6. Document assumptions: Note which connections are discovered vs. inferred
7. Provide context: Add title, legend, and timestamp to diagrams

Reference Files

• references/cisco-parser.md: Detailed regex patterns and parsing functions for all Cisco configuration types
• references/drawio-examples.md: Complete working examples for different network scenarios
• scripts/generate_network_diagram.py: Production-ready script with full parsing and generation logic

Common Use Cases

Use Case 1: Data Center Topology

# Create top-down diagram with core, aggregation, and access layers
# Group servers by rack, show redundant uplinks

Use Case 2: Branch Office WAN

# Show hub-and-spoke topology with MPLS/VPN connections
# Highlight primary and backup WAN links

Use Case 3: VLAN Visualization

# Create L2 diagram showing VLAN trunks and access ports
# Color-code by VLAN or security zone

Use Case 4: Routing Protocol View

# Show OSPF areas, BGP peerings, route reflectors
# Label edges with metrics and next-hops

Next Steps After Generation

1. Open diagram in Draw.io (web: app.diagrams.net)
2. Manually refine layout and positioning as needed
3. Add annotations, labels, or documentation
4. Export to PNG/PDF for documentation or presentations
5. Version control the .drawio file for change tracking