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| -rwxr-xr-x | scripts/python/libvirt-xml2netbox-csv_interfaces.py | 51 |
1 files changed, 51 insertions, 0 deletions
diff --git a/scripts/python/libvirt-xml2netbox-csv_interfaces.py b/scripts/python/libvirt-xml2netbox-csv_interfaces.py new file mode 100755 index 0000000..6ad2a24 --- /dev/null +++ b/scripts/python/libvirt-xml2netbox-csv_interfaces.py @@ -0,0 +1,51 @@ +#!/usr/bin/python3 +""" +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. +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. + +Created and Last modified: 02/01/2022 by Georg Pfuetzenreuter <georg@lysergic.dev> +""" + +import os +import xml.etree.ElementTree as xmlet +import pandas + +cluster = "xxx" +indir = "xmls/" + cluster + "/domains" +outfile = cluster + "_interfaces.csv" + +columns = [ "virtual_machine", "name", "enabled", "mac_address", "mtu", "description", "mode" ] +rows = [] + + +for domainxml in os.listdir(indir): + xmlparse = xmlet.parse(indir + "/" + domainxml) + xmlroot = xmlparse.getroot() + domain = xmlroot.find("name").text + for interface in xmlroot.findall("devices/interface"): + interface_type = next(iter(interface.attrib.values())) + if interface_type == "network": + source = interface.find("source").attrib["network"] + if interface_type == "bridge": + source = interface.find("source").attrib["bridge"] + mac_address = interface.find("mac").attrib["address"] + model = interface.find("model").attrib["type"] + enabled = "true" + mtu = "1500" + mode = "access" + description = "Imported from libvirt. Model: " + model + "." + + rows.append( + { + "virtual_machine": domain, + "name": source, + "enabled": enabled, + "mac_address": mac_address, + "mtu": mtu, + "description": description, + "mode": mode + } + ) + +convert = pandas.DataFrame(rows, columns=columns) +convert.to_csv(outfile, index=False) |