Comment convertir le rapport de validation du câblage Network Fabric en HTML
Cet article explique comment convertir un rapport de validation du câblage Nexus Network Fabric d’une sortie JSON en HTML.
Prérequis
- Nécessite Python 3.11 ou ultérieur
- Nécessite les modules Python 3.11 :
json pandas as pd datetime
Script Python pour la conversion de la validation du câblage de JSON en HTML
import json
import pandas as pd
from datetime import datetime
def color_status(val):
"""
Takes a scalar and returns a string with
the css property `'color: green'` for compliant,
`'color: red'` for noncompliant and black for others
"""
if val == 'Compliant':
color = 'green'
elif val == 'NonCompliant':
color = 'red'
else:
color = 'black'
return 'color: %s' % color
now = datetime.now() # current date and time
date_time = now.strftime("%m-%d-%Y-%H-%M")
print("date and time:",date_time)
# Get the file name as input from the user
file_name = input("Please provide post validation json file: ")
# Load the JSON data from the file
with open(file_name, 'r') as f:
data = json.load(f)
# Prepare two lists to store the data
cable_validation_data = []
cable_specification_validation_data = []
# Loop through each rack in the racks list
for rack in data['racks']:
# Loop through each device in the networkConfiguration list
for device in rack['rackInfo']['networkConfiguration']['networkDevices']:
# Loop through each interface map for the device
for interface_map in device['fixedInterfaceMaps']:
# Loop through each validation result for the interface map
for validation_result in interface_map['validationResult']:
# Append the data to the list based on validation type
temp_item = [device['name'], interface_map['name'], validation_result['status'], interface_map['destinationHostname'], interface_map['destinationPort'],validation_result['validationDetails']['deviceConfiguration'], validation_result['validationDetails']['error'] , validation_result['validationDetails']['reason'],'FixedInterface']
if validation_result['validationType'] == 'CableValidation':
cable_validation_data.append(temp_item)
elif validation_result['validationType'] == 'CableSpecificationValidation':
cable_specification_validation_data.append(temp_item)
# Check if scaleSpecificInterfaceMaps is not None
if device['scaleSpecificInterfaceMaps'] is not None:
# Loop through each scaleSpecificInterface_Map for the interface map
for scale_map in device['scaleSpecificInterfaceMaps']:
# Loop through each interface map for the device.
for interfacemaps in scale_map['InterfaceMaps']:
# Loop through each validation result for the scaleSpecificInterface_Map
for validation_result in interfacemaps['validationResult']:
# Append the data to the list
temp_item = [device['name'], interfacemaps['name'], validation_result['status'], interfacemaps['destinationHostname'], interfacemaps['destinationPort'], validation_result['validationDetails']['deviceConfiguration'], validation_result['validationDetails']['error'] , validation_result['validationDetails']['reason'], 'ScaleSpecificInterface']
if validation_result['validationType'] == 'CableValidation':
cable_validation_data.append(temp_item)
elif validation_result['validationType'] == 'CableSpecificationValidation':
cable_specification_validation_data.append(temp_item)
# Convert the lists to DataFrames
cable_validation_df = pd.DataFrame(cable_validation_data, columns=['Device Name', 'Interface Map Name', 'Status', 'Destination Hostname', 'Destination Port', 'Device Configuration', 'Error', 'Reason', 'Interface Type'])
cable_specification_validation_df = pd.DataFrame(cable_specification_validation_data, columns=['Device Name', 'Interface Map Name', 'Status', 'Destination Hostname', 'Destination Port', 'Device Configuration', 'Error', 'Reason', 'Interface Type'])
# Group the DataFrames by 'Status' and append each group's HTML representation to a string
#html_string = '<html><head><style>table {border-collapse: collapse;} th, td {border: 1px solid black; padding: 5px;}</style></head><body>'
html_string = """
<html>
<head>
<style>
body {
font-family: Arial, sans-serif;
max-width: 960px; /* Set the maximum width of the page */
margin: 0 auto; /* Center the page */
}
h2 {color: #2A2A2A;}
table {border-collapse: collapse; width: 100%;}
th, td {border: 1px solid #ddd; padding: 8px;}
tr:nth-child(even) {background-color: #f2f2f2;}
th {padding-top: 12px; padding-bottom: 12px; text-align: left; background-color: #4CAF50; color: white;}
</style>
</head>
<body>
"""
for status, group_df in cable_validation_df.groupby('Status'):
styled_group_df = group_df.style.applymap(color_status, subset=['Status']).set_table_attributes('class="dataframe"')
html_string += f'<h2>Cable Validation - {status}</h2>'
html_string += styled_group_df.to_html()
for status, group_df in cable_specification_validation_df.groupby('Status'):
styled_group_df = group_df.style.applymap(color_status, subset=['Status']).set_table_attributes('class="dataframe"')
html_string += f'<h2>Cable Specification Validation - {status}</h2>'
html_string += styled_group_df.to_html()
html_string += '</body></html>'
# Write the string to an HTML file
with open('CableValidationAndSpecification-{filename}.html'.format(filename = date_time), 'w') as f:
f.write(html_string)
Utilisation
Pour exécuter l’outil de conversion, exécutez la commande suivante :
python cable-html.py
..
Please provide post validation json file: <CABLE_VALIDATION_FILENAME>.json
La sortie du rapport a comme nom de fichier CableValidationAndSpecification-<DATE>.html
.
Résultats HTML du rapport de validation du câblage
Le rapport contient les sections suivantes :
- Validation du câblage – Conforme
- Validation du câblage – Non conforme
- Validation du câblage – Inconnue
- Validation des spécifications du câblage – Conforme
- Validation des spécifications du câblage – Non conforme
- Validation des spécifications du câblage – Inconnue