52 lines
2.2 KiB
Python
52 lines
2.2 KiB
Python
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#!/usr/bin/python3
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"""
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Takes a directory with libvirt XML domain dumps and creates a NetBox importable CSV with VM interfaces. Intended to be used subsequently to libvirt-xml2netbox.py.
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Note: we want the VM interfaces to be created with the interface name the operating system is seeing. Since libvirt only knows the host-side interface or network association, and since it was decided that integrating an automated interface name extraction process with a different source which merges with the libvirt data would not be economic, manual editing of the interface names in the resulting CSV - according to the data presented by the VM operating systems - is required.
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Created and Last modified: 02/01/2022 by Georg Pfuetzenreuter <georg@lysergic.dev>
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"""
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import os
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import xml.etree.ElementTree as xmlet
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import pandas
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cluster = "xxx"
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indir = "xmls/" + cluster + "/domains"
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outfile = cluster + "_interfaces.csv"
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columns = [ "virtual_machine", "name", "enabled", "mac_address", "mtu", "description", "mode" ]
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rows = []
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for domainxml in os.listdir(indir):
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xmlparse = xmlet.parse(indir + "/" + domainxml)
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xmlroot = xmlparse.getroot()
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domain = xmlroot.find("name").text
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for interface in xmlroot.findall("devices/interface"):
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interface_type = next(iter(interface.attrib.values()))
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if interface_type == "network":
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source = interface.find("source").attrib["network"]
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if interface_type == "bridge":
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source = interface.find("source").attrib["bridge"]
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mac_address = interface.find("mac").attrib["address"]
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model = interface.find("model").attrib["type"]
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enabled = "true"
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mtu = "1500"
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mode = "access"
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description = "Imported from libvirt. Model: " + model + "."
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rows.append(
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{
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"virtual_machine": domain,
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"name": source,
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"enabled": enabled,
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"mac_address": mac_address,
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"mtu": mtu,
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"description": description,
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"mode": mode
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}
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)
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convert = pandas.DataFrame(rows, columns=columns)
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convert.to_csv(outfile, index=False)
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