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jc/jc/parsers/arp.py
2022-01-18 14:18:12 -08:00

244 lines
5.8 KiB
Python

"""jc - JSON CLI output utility `arp` command output parser
Supports `arp` and `arp -a` output.
Usage (cli):
$ arp | jc --arp
or
$ jc arp
Usage (module):
import jc
result = jc.parse('arp', arp_command_output)
or
import jc.parsers.arp
result = jc.parsers.arp.parse(arp_command_output)
Schema:
[
{
"name": string,
"address": string,
"hwtype": string,
"hwaddress": string,
"flags_mask": string,
"iface": string,
"permanent": boolean,
"expires": integer
}
]
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"
"permanent": false,
"expires": 1182
},
{
"name": "gateway",
"address": "192.168.71.2",
"hwtype": "ether",
"hwaddress": "00:50:56:f7:4a:fc",
"iface": "ens33"
"permanent": false,
"expires": 110
}
]
$ arp -a | jc --arp -p -r
[
{
"name": "?",
"address": "192.168.71.254",
"hwtype": "ether",
"hwaddress": "00:50:56:fe:7a:b4",
"iface": "ens33"
"permanent": false,
"expires": "1182"
},
{
"name": "_gateway",
"address": "192.168.71.2",
"hwtype": "ether",
"hwaddress": "00:50:56:f7:4a:fc",
"iface": "ens33"
"permanent": false,
"expires": "110"
}
]
"""
import jc.utils
import jc.parsers.universal
class info():
"""Provides parser metadata (version, author, etc.)"""
version = '1.8'
description = '`arp` command parser'
author = 'Kelly Brazil'
author_email = 'kellyjonbrazil@gmail.com'
# compatible options: linux, darwin, cygwin, win32, aix, freebsd
compatible = ['linux', 'aix', 'freebsd', 'darwin']
magic_commands = ['arp']
__version__ = info.version
def _process(proc_data):
"""
Final processing to conform to the schema.
Parameters:
proc_data: (List of Dictionaries) raw structured data to process
Returns:
List of Dictionaries. Structured data to conform to the schema:
"""
# 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
int_list = ['expires']
for key in entry:
if key in int_list:
entry[key] = jc.utils.convert_to_int(entry[key])
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.
"""
jc.utils.compatibility(__name__, info.compatible, quiet)
jc.utils.input_type_check(data)
raw_output = []
cleandata = list(filter(None, data.splitlines()))
if jc.utils.has_data(data):
# remove final Entries row if -v was used
if cleandata[-1].startswith('Entries:'):
cleandata.pop(-1)
# detect if freebsd/osx style was used
if cleandata[0][-1] == ']':
for line in cleandata:
splitline = line.split()
output_line = {
'name': splitline[0],
'address': splitline[1].lstrip('(').rstrip(')'),
'hwtype': splitline[-1].lstrip('[').rstrip(']'),
'hwaddress': splitline[3],
'iface': splitline[5]
}
if 'permanent' in splitline:
output_line['permanent'] = True
else:
output_line['permanent'] = False
if 'expires' in splitline:
output_line['expires'] = splitline[-3]
raw_output.append(output_line)
if raw:
return raw_output
else:
return _process(raw_output)
# detect if linux style was used
elif cleandata[0].startswith('Address'):
# 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)
# otherwise, try bsd style
else:
for line in cleandata:
line = line.split()
output_line = {
'name': line[0],
'address': line[1].lstrip('(').rstrip(')'),
'hwtype': line[4].lstrip('[').rstrip(']'),
'hwaddress': line[3],
'iface': line[6],
}
raw_output.append(output_line)
if raw:
return raw_output
else:
return _process(raw_output)