Come convertire il report di convalida del cavo di Network Fabric in HTML

Questo articolo illustra come convertire un report di convalida del cavo Nexus Network Fabric dall'output JSON al codice HTML.

Prerequisiti

• Richiede Python 3.11 o versione successiva
• Richiede moduli Python 3.11: json pandas as pd datetime

Script Python per la convalida del cavo JSON in conversione 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)

Utilizzo

Per eseguire lo strumento di conversione, eseguire il comando seguente:

python cable-html.py
..
Please provide post validation json file: <CABLE_VALIDATION_FILENAME>.json

L'output del report ha il nome file CableValidationAndSpecification-<DATE>.html.

Risultati HTML del report di convalida via cavo

Il report è separato nelle sezioni seguenti:

• Convalida del cavo - Conforme
• Convalida del cavo - Non Conforme
• Convalida del cavo - Sconosciuto
• Convalida della specifica del cavo - Conforme
• Convalida della specifica del cavo - Non Conforme
• Convalida della specifica del cavo - Sconosciuto

Report di esempio: