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HuggingFace Space Integration Example
Shows how to integrate GNS3 lab viewer with the Overgrowth HuggingFace Space UI
"""
import sys
import os
# Add parent directory to path
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
from web.gns3_viewer import GNS3Viewer, get_deployment_markdown, get_web_ui_link
def create_deployment_result_card(deployment_success: bool, devices_configured: list) -> dict:
"""
Create a result card to display in HuggingFace Space after deployment
Args:
deployment_success: Whether the deployment was successful
devices_configured: List of device names that were configured
Returns:
Dictionary with UI components
"""
viewer = GNS3Viewer()
if not deployment_success:
return {
'status': 'error',
'title': '❌ Deployment Failed',
'message': 'There was an error deploying your configuration.',
'actions': []
}
# Get live status
summary = viewer.get_deployment_summary()
return {
'status': 'success',
'title': '✅ Deployment Successful!',
'message': f'Successfully deployed configuration to {len(devices_configured)} device(s).',
'devices': devices_configured,
'lab_info': {
'web_ui_url': summary['web_ui_url'],
'total_devices': summary['total_devices'],
'deployed_switches': summary['switches']['deployed'],
'deployed_routers': summary['routers']['deployed']
},
'actions': [
{
'label': '🌐 View Live Topology',
'url': summary['web_ui_url'],
'type': 'primary'
},
{
'label': '📊 View API Status',
'url': summary['project']['api_url'],
'type': 'secondary'
}
],
'console_access': [
{'device': d['name'], 'url': d['console']}
for d in summary['switches']['devices']
]
}
def get_lab_status_widget() -> str:
"""
Get HTML widget showing current lab status for embedding in HuggingFace Space
Returns:
HTML string
"""
viewer = GNS3Viewer()
summary = viewer.get_deployment_summary()
if not summary['accessible']:
return """
<div style="padding: 20px; background: #fff3cd; border-left: 4px solid #ffc107; border-radius: 4px;">
<h3>⚠️ Lab Currently Unavailable</h3>
<p>The GNS3 lab is not currently accessible. Please try again later.</p>
</div>
"""
switches_html = ""
for switch in summary['switches']['devices']:
switches_html += f"""
<div style="padding: 10px; margin: 5px 0; background: #e8f5e9; border-radius: 4px;">
<strong>✅ {switch['name']}</strong> - <code>{switch['status']}</code>
<br><small>Console: <code>{switch['console']}</code></small>
</div>
"""
return f"""
<div style="padding: 20px; background: #f8f9fa; border-radius: 8px; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;">
<h2 style="margin-top: 0; color: #2c3e50;">🌐 Live Network Lab</h2>
<div style="margin: 15px 0;">
<a href="{summary['web_ui_url']}"
target="_blank"
style="display: inline-block; padding: 12px 24px; background: #007bff; color: white; text-decoration: none; border-radius: 6px; font-weight: bold;">
📡 Open GNS3 Web UI
</a>
</div>
<div style="margin: 20px 0;">
<h3 style="color: #2c3e50;">Deployment Status</h3>
<p><strong>Total Devices:</strong> {summary['total_devices']}</p>
<p><strong>Deployed Switches:</strong> {summary['switches']['deployed']}/{summary['switches']['total']}</p>
</div>
<div style="margin: 20px 0;">
<h3 style="color: #2c3e50;">Active Devices</h3>
{switches_html}
</div>
<div style="margin: 20px 0; padding: 15px; background: #e3f2fd; border-radius: 4px;">
<h4 style="margin-top: 0;">How to Access</h4>
<ol style="margin: 0; padding-left: 20px;">
<li>Click "Open GNS3 Web UI" above to view the live topology</li>
<li>Use telnet to console URLs for device access</li>
<li>API available at: <code>{summary['project']['api_url']}</code></li>
</ol>
</div>
<div style="margin-top: 15px; padding: 10px; background: #fff; border-left: 4px solid #28a745; border-radius: 4px;">
<strong>Project:</strong> {summary['project']['name']}<br>
<small>ID: <code>{summary['project']['id']}</code></small>
</div>
</div>
"""
def example_gradio_integration():
"""
Example of how to integrate with Gradio UI in HuggingFace Space
This would be added to your app.py in the HuggingFace Space
"""
try:
import gradio as gr
except ImportError:
print("This example requires gradio: pip install gradio")
return
def deploy_and_show_results(config_text):
"""Simulated deployment function"""
# Your deployment logic here
# ...
# After deployment, show results
viewer = GNS3Viewer()
markdown_output = viewer.format_for_ui()
html_widget = get_lab_status_widget()
return markdown_output, html_widget
# Create Gradio interface
with gr.Blocks() as demo:
gr.Markdown("# 🌐 Overgrowth Network Automation")
with gr.Tab("Deploy Configuration"):
config_input = gr.Textbox(
label="Network Configuration",
placeholder="Enter your network configuration...",
lines=10
)
deploy_btn = gr.Button("🚀 Deploy to Lab", variant="primary")
with gr.Tab("View Lab Status"):
refresh_btn = gr.Button("🔄 Refresh Status")
status_markdown = gr.Markdown(get_deployment_markdown())
status_html = gr.HTML(get_lab_status_widget())
refresh_btn.click(
fn=lambda: (get_deployment_markdown(), get_lab_status_widget()),
outputs=[status_markdown, status_html]
)
# Show results after deployment
deploy_btn.click(
fn=deploy_and_show_results,
inputs=[config_input],
outputs=[status_markdown, status_html]
)
return demo
if __name__ == "__main__":
print("=" * 70)
print("HuggingFace Space Integration - Deployment Result Example")
print("=" * 70)
print()
# Example 1: Create deployment result card
result_card = create_deployment_result_card(
deployment_success=True,
devices_configured=['SW-HQ-Core', 'SW-West', 'SW-East']
)
print("Deployment Result Card (JSON):")
import json
print(json.dumps(result_card, indent=2))
print()
# Example 2: Get lab status widget
print("=" * 70)
print("Lab Status Widget (HTML):")
print("=" * 70)
print()
print(get_lab_status_widget())
print()
# Example 3: Get markdown for display
print("=" * 70)
print("Markdown Output:")
print("=" * 70)
print()
print(get_deployment_markdown())
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