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jc/jc/parsers/arp.py
2019-12-17 10:09:19 -08:00

207 lines
4.9 KiB
Python

"""jc - JSON CLI output utility arp Parser
Usage:
specify --arp as the first argument if the piped input is coming from:
arp
or
arp -a
Compatibility:
'linux', 'aix', 'freebsd', 'darwin'
Examples:
$ arp | jc --arp -p
[
{
"address": "192.168.71.254",
"hwtype": "ether",
"hwaddress": "00:50:56:f0:98:26",
"flags_mask": "C",
"iface": "ens33"
},
{
"address": "gateway",
"hwtype": "ether",
"hwaddress": "00:50:56:f7:4a:fc",
"flags_mask": "C",
"iface": "ens33"
}
]
$ arp | jc --arp -p -r
[
{
"address": "gateway",
"hwtype": "ether",
"hwaddress": "00:50:56:f7:4a:fc",
"flags_mask": "C",
"iface": "ens33"
},
{
"address": "192.168.71.254",
"hwtype": "ether",
"hwaddress": "00:50:56:fe:7a:b4",
"flags_mask": "C",
"iface": "ens33"
}
]
$ arp -a | jc --arp -p
[
{
"name": null,
"address": "192.168.71.254",
"hwtype": "ether",
"hwaddress": "00:50:56:f0:98:26",
"iface": "ens33"
},
{
"name": "gateway",
"address": "192.168.71.2",
"hwtype": "ether",
"hwaddress": "00:50:56:f7:4a:fc",
"iface": "ens33"
}
]
$ arp -a | jc --arp -p -r
[
{
"name": "?",
"address": "192.168.71.254",
"hwtype": "ether",
"hwaddress": "00:50:56:fe:7a:b4",
"iface": "ens33"
},
{
"name": "_gateway",
"address": "192.168.71.2",
"hwtype": "ether",
"hwaddress": "00:50:56:f7:4a:fc",
"iface": "ens33"
}
]
"""
import jc.utils
import jc.parsers.universal
class info():
version = '1.1'
description = 'arp parser'
author = 'Kelly Brazil'
author_email = 'kellyjonbrazil@gmail.com'
# compatible options: linux, darwin, cygwin, win32, aix, freebsd
compatible = ['linux', 'aix', 'freebsd', 'darwin']
def process(proc_data):
"""
Final processing to conform to the schema.
Parameters:
proc_data: (dictionary) raw structured data to process
Returns:
List of dictionaries. Structured data with the following schema:
[
{
"name": string,
"address": string,
"hwtype": string,
"hwaddress": string,
"flags_mask": string,
"iface": string
}
]
"""
# in BSD style, change name to null if it is a question mark
for entry in proc_data:
if 'name' in entry and entry['name'] == '?':
entry['name'] = None
return proc_data
def parse(data, raw=False, quiet=False):
"""
Main text parsing function
Parameters:
data: (string) text data to parse
raw: (boolean) output preprocessed JSON if True
quiet: (boolean) suppress warning messages if True
Returns:
List of dictionaries. Raw or processed structured data.
"""
if not quiet:
jc.utils.compatibility(__name__, info.compatible)
cleandata = data.splitlines()
# remove final Entries row if -v was used
if cleandata[-1].find('Entries:') == 0:
cleandata.pop(-1)
# detect if osx style was used
if cleandata[0].find(' ifscope ') != -1:
raw_output = []
for line in cleandata:
line = line.split()
output_line = {}
output_line['name'] = line[0]
output_line['address'] = line[1].lstrip('(').rstrip(')')
output_line['hwtype'] = line[-1].lstrip('[').rstrip(']')
output_line['hwaddress'] = line[3]
output_line['iface'] = line[5]
raw_output.append(output_line)
if raw:
return raw_output
else:
return process(raw_output)
# detect if linux style was used
elif cleandata[0].find('Address') == 0:
# fix header row to change Flags Mask to flags_mask
cleandata[0] = cleandata[0].replace('Flags Mask', 'flags_mask')
cleandata[0] = cleandata[0].lower()
raw_output = jc.parsers.universal.simple_table_parse(cleandata)
if raw:
return raw_output
else:
return process(raw_output)
# otherwise, try bsd style
else:
raw_output = []
for line in cleandata:
line = line.split()
output_line = {}
output_line['name'] = line[0]
output_line['address'] = line[1].lstrip('(').rstrip(')')
output_line['hwtype'] = line[4].lstrip('[').rstrip(']')
output_line['hwaddress'] = line[3]
output_line['iface'] = line[6]
raw_output.append(output_line)
if raw:
return raw_output
else:
return process(raw_output)