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Update howto-convert-cable-validation-html.md
add sample cable validation report
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‎articles/operator-nexus/howto-convert-cable-validation-html.md‎

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@@ -15,7 +15,7 @@ This article explains how to convert a Nexus Network Fabric Cable Validation Rep
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## Prerequisites
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- Requires Modules: `json pandas as pd`
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- Requires Modules: `json pandas as pd datetime`
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## Python Script for Cable Validation JSON to html conversion
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@@ -24,32 +24,48 @@ import json
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import pandas as pd
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from datetime import datetime
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def color_status(val):
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"""
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Takes a scalar and returns a string with
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the css property `'color: green'` for compliant,
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`'color: red'` for noncompliant and black for others
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"""
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if val == 'Compliant':
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color = 'green'
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elif val == 'NonCompliant':
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color = 'red'
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else:
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color = 'black'
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return 'color: %s' % color
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now = datetime.now() # current date and time
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date_time = now.strftime("%m-%d-%Y-%H-%M")
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print("date and time:",date_time)
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# Get the file name as input from the user
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file_name = input("Please provide post validation json file: ")
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# Load the JSON data from the file
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with open(file_name, 'r') as f:
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data = json.load(f)
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# Prepare a list to store the data
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data_list = []
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# Prepare two lists to store the data
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cable_validation_data = []
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cable_specification_validation_data = []
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# Loop through each rack in the racks list
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for rack in data['racks']:
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# Loop through each device in the networkDevices list
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# Loop through each device in the networkConfiguration list
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for device in rack['rackInfo']['networkConfiguration']['networkDevices']:
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# Loop through each interface map for the device
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for interface_map in device['fixedInterfaceMaps']:
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# Loop through each validation result for the interface map
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for validation_result in interface_map['validationResult']:
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# Append the data to the list
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# Append the data to the list based on validation type
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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']
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# print(temp_item)
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data_list.append(temp_item)
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if validation_result['validationType'] == 'CableValidation':
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cable_validation_data.append(temp_item)
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elif validation_result['validationType'] == 'CableSpecificationValidation':
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cable_specification_validation_data.append(temp_item)
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# Check if scaleSpecificInterfaceMaps is not None
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if device['scaleSpecificInterfaceMaps'] is not None:
@@ -61,98 +77,71 @@ for rack in data['racks']:
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for validation_result in interfacemaps['validationResult']:
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# Append the data to the list
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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']
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# print(temp_item)
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data_list.append(temp_item)
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# # Check if scaleSpecificInterfaceMaps is not None
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# if device['topologySpecificInterfaceMaps'] is not None:
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# # Loop through each scaleSpecificInterface_Map for the interface map
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# for topo_map in device['topologySpecificInterfaceMaps']:
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# # Loop through each interface map for the device.
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# for interfacemaps in topo_map['InterfaceMaps']:
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# # Loop through each validation result for the scaleSpecificInterface_Map
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# for validation_result in interfacemaps['validationResult']:
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# # Append the data to the list
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# data_list.append([device['name'], interfacemaps['name'], validation_result['status'], interface_map['destinationHostname'], interface_map['destinationPort'], validation_result['validationDetails']['deviceConfiguration'], validation_result['validationDetails']['error'] , validation_result['validationDetails']['reason'], 'TopologySpecificInterface'])
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# Convert the list to a DataFrame
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df = pd.DataFrame(data_list, columns=['Device Name', 'Interface Map Name', 'Validation Result Status', 'Destination Hostname ', 'Destination Port ','Device Configuration', 'Error', 'Reason','Map Type'])
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# Function to apply color based on validation result
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def color_status(val):
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color = 'red' if val == 'NonCompliant' else 'green' if val == 'Compliant' else 'black'
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return 'color: %s' % color
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# Apply the color to the DataFrame
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styled_df = df.style.applymap(color_status, subset=['Validation Result Status'])
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# Set CSS properties for th elements in dataframe
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th_props = [
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('font-size', '18px'),
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('text-align', 'center'),
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('font-weight', 'bold'),
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('color', '#6d6d6d'),
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('background-color', '#f7f7f9')
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]
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# Set CSS properties for td elements in dataframe
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td_props = [
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('font-size', '16px')
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]
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# Set table styles
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styles = [
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dict(selector="th", props=th_props),
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dict(selector="td", props=td_props)
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]
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# Filter the DataFrame based on the 'Validation Result Status' column
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df_compliant = df[df['Validation Result Status'] == 'Compliant']
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df_noncompliant = df[df['Validation Result Status'] == 'NonCompliant']
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df_unknown = df[df['Validation Result Status'] == 'Unknown']
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# Apply the color to the DataFrames
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styled_df_compliant = df_compliant.style.applymap(color_status, subset=['Validation Result Status'])
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styled_df_noncompliant = df_noncompliant.style.applymap(color_status, subset=['Validation Result Status'])
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styled_df_unknown = df_unknown.style.applymap(color_status, subset=['Validation Result Status'])
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# Generate the DataFrames' HTML strings
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df_html_compliant = styled_df_compliant.set_table_styles(styles).to_html()
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df_html_noncompliant = styled_df_noncompliant.set_table_styles(styles).to_html()
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df_html_unknown = styled_df_unknown.set_table_styles(styles).to_html()
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# Combine the HTML strings
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html = f"""
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if validation_result['validationType'] == 'CableValidation':
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cable_validation_data.append(temp_item)
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elif validation_result['validationType'] == 'CableSpecificationValidation':
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cable_specification_validation_data.append(temp_item)
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# Convert the lists to DataFrames
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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'])
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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'])
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# Group the DataFrames by 'Status' and append each group's HTML representation to a string
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#html_string = '<html><head><style>table {border-collapse: collapse;} th, td {border: 1px solid black; padding: 5px;}</style></head><body>'
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html_string = """
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<html>
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<head>
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<style>
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body {{
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background-color: #f0f0f5;
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}}
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.box {{
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border: 1px solid black;
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margin: 10px;
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padding: 10px;
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}}
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body {
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font-family: Arial, sans-serif;
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max-width: 960px; /* Set the maximum width of the page */
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margin: 0 auto; /* Center the page */
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}
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h2 {color: #2A2A2A;}
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table {border-collapse: collapse; width: 100%;}
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th, td {border: 1px solid #ddd; padding: 8px;}
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tr:nth-child(even) {background-color: #f2f2f2;}
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th {padding-top: 12px; padding-bottom: 12px; text-align: left; background-color: #4CAF50; color: white;}
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</style>
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</head>
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<body>
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<div class="box">
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<h2>Compliant</h2>
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{df_html_compliant}
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</div>
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<div class="box">
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<h2>NonCompliant</h2>
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{df_html_noncompliant}
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</div>
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<div class="box">
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<h2>Unknown</h2>
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{df_html_unknown}
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</div>
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</body>
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</html>
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"""
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for status, group_df in cable_validation_df.groupby('Status'):
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styled_group_df = group_df.style.applymap(color_status, subset=['Status']).set_table_attributes('class="dataframe"')
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html_string += f'<h2>Cable Validation - {status}</h2>'
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html_string += styled_group_df.to_html()
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for status, group_df in cable_specification_validation_df.groupby('Status'):
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styled_group_df = group_df.style.applymap(color_status, subset=['Status']).set_table_attributes('class="dataframe"')
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html_string += f'<h2>Cable Specification Validation - {status}</h2>'
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html_string += styled_group_df.to_html()
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html_string += '</body></html>'
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# Write the string to an HTML file
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with open('CableValidationAndSpecification-{filename}.html'.format(filename = date_time), 'w') as f:
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f.write(html_string)
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```
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# Save the HTML string to a file
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with open("reports/report-{filename}.html".format(filename = date_time), 'w') as f:
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f.write(html)
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## Usage
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To run the conversion tool execute the following:
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```
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python cable-html.py
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..
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Please provide post validation json file: <CABLE_VALIDATION_FILENAME>.json
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```
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The report output has filename `CableValidationAndSpecification-<DATE>.html`.
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## Cable Validation Report HTML results
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The report will be sparated into 6 sections:
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- Cable Validation - Compliant
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- Cable Validation - NonCompliant
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- Cable Validation - Unknown
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- Cable Specification Validation - Compliant
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- Cable Specification Validation - NonCompliant
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- Cable Specification Validation - Unknown
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Sample report:
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:::image type="content" source="media\cable-validation-html.png" alt-text="Screenshot that shows the sample cable validation report." lightbox="media\cable-validation-html.png":::

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